From b53b8fe56fc2e9ec40b79a88523bd367bcf4b8ca Mon Sep 17 00:00:00 2001 From: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> Date: Thu, 18 Jun 2026 15:34:56 +0530 Subject: [PATCH 01/94] [DFAE] Document count validation based on support from underlying storage engine (#22178) [DFAE] Document count validation based on support from underlying storage engine Signed-off-by: Mohit Godwani --- .../index/LuceneIndexingExecutionEngine.java | 5 + .../CompositeIndexingExecutionEngine.java | 8 ++ .../index/engine/DataFormatAwareEngine.java | 31 +++++- .../index/engine/DocumentCountTracker.java | 100 +++++++++++++++++ .../index/engine/InternalEngine.java | 49 ++------- .../dataformat/IndexingExecutionEngine.java | 9 ++ .../engine/DataFormatAwareEngineTests.java | 104 +++++++++++++++++- .../engine/DocumentCountTrackerTests.java | 84 ++++++++++++++ 8 files changed, 349 insertions(+), 41 deletions(-) create mode 100644 server/src/main/java/org/opensearch/index/engine/DocumentCountTracker.java create mode 100644 server/src/test/java/org/opensearch/index/engine/DocumentCountTrackerTests.java diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/index/LuceneIndexingExecutionEngine.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/index/LuceneIndexingExecutionEngine.java index 99e55702a0903..a64294324e336 100644 --- a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/index/LuceneIndexingExecutionEngine.java +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/index/LuceneIndexingExecutionEngine.java @@ -451,6 +451,11 @@ public Map> deleteFiles(Map>> writerPool; private final AtomicLong writerGenerationCounter; @@ -405,6 +407,15 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { } }, logger); this.refreshListeners.add(this.statsCache); + this.documentCountTracker = new DocumentCountTracker(shardId, () -> { + // First get active writes as active writes are only reduced after catalog snapshot refresh + // This prevents under-accounting + long docsIngested = pendingRowCount.get(); + try (var cs = catalogSnapshotManager.acquireSnapshot()) { + docsIngested += cs.get().getNumDocs(); + } + return docsIngested; + }, indexingExecutionEngine.maxIndexableDocs()); this.indexingStrategyPlanner = new IndexingStrategyPlanner( engineConfig.getIndexSettings(), engineConfig.getShardId(), @@ -416,7 +427,7 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { op -> OpVsEngineDocStatus.OP_NEWER, (a, b) -> null, this::updateAutoIdTimestamp, - (a, b) -> null + documentCountTracker::tryAcquireInFlightDocs ); // All critical engine components must be initialized before the engine is considered ready assert translogManager != null : "translog manager must be initialized"; @@ -574,6 +585,7 @@ public Engine.IndexResult index(Engine.Index index) throws IOException { || index.origin() == Engine.Operation.Origin.LOCAL_RESET) : "DataFormatAwareEngine only supports PRIMARY, LOCAL_TRANSLOG_RECOVERY, or LOCAL_RESET origins but got: " + index.origin(); final boolean doThrottle = index.origin().isRecovery() == false; + int rows = 0; try (ReleasableLock ignored = readLock.acquire()) { ensureOpen(); try (Releasable indexThrottle = doThrottle ? throttle.acquireThrottle() : () -> {}) { @@ -584,6 +596,7 @@ public Engine.IndexResult index(Engine.Index index) throws IOException { } else { plan = indexingStrategyPlanner.planOperationAsNonPrimary(index); } + rows = plan.reservedDocs; final Engine.IndexResult indexResult; if (plan.earlyResultOnPreFlightError.isPresent()) { assert index.origin() == Engine.Operation.Origin.PRIMARY : index.origin(); @@ -632,6 +645,10 @@ public Engine.IndexResult index(Engine.Index index) throws IOException { } } return indexResult; + } finally { + if (rows > 0) { + documentCountTracker.releaseInFlightDocs(rows); + } } } catch (RuntimeException | IOException e) { maybeFailEngine("index id[" + index.id() + "] origin[" + index.origin() + "]", e); @@ -672,6 +689,7 @@ private Engine.IndexResult indexIntoEngine(Engine.Index index, IndexingStrategy + "] must match operation seq no [" + index.seqNo() + "]"; + pendingRowCount.incrementAndGet(); } else { WriteResult.Failure f = (WriteResult.Failure) result; try { @@ -897,6 +915,7 @@ public void refresh(String source) throws EngineException { final long flushAllStartNanos = System.nanoTime(); int writerCount = writers.size(); + long rowsToRelease = 0L; // Add all checked-out writers to the shared flushQueue with a latch // so the refresh thread can wait for ALL writers to be flushed @@ -936,7 +955,9 @@ public void refresh(String source) throws EngineException { hasFiles ); if (hasFiles) { - newSegments.add(segmentBuilder.build()); + Segment segment = segmentBuilder.build(); + newSegments.add(segment); + rowsToRelease += segment.dfGroupedSearchableFiles().values().stream().findFirst().get().numRows(); } refreshed |= hasFiles; } catch (Exception e) { @@ -970,6 +991,7 @@ public void refresh(String source) throws EngineException { Segment pendingSeg; while ((pendingSeg = pendingSegments.poll()) != null) { newSegments.add(pendingSeg); + rowsToRelease += pendingSeg.dfGroupedSearchableFiles().values().stream().findFirst().get().numRows(); refreshed = true; } // Drain pending writers so they get closed after addIndexes incorporates their files @@ -1023,6 +1045,11 @@ public void refresh(String source) throws EngineException { final long commitStartNanos = System.nanoTime(); catalogSnapshotManager.commitNewSnapshot(result.refreshedSegments()); + assert rowsToRelease > 0L : "Rows to release from active writes should be greater than 0 but was: " + + rowsToRelease + + " for shard: " + + shardId; + pendingRowCount.addAndGet(-rowsToRelease); final long commitElapsedMs = TimeValue.nsecToMSec(System.nanoTime() - commitStartNanos); logger.trace("refresh[{}]: catalogSnapshot commit took [{}ms]", source, commitElapsedMs); } else if ("flush".equals(source)) { diff --git a/server/src/main/java/org/opensearch/index/engine/DocumentCountTracker.java b/server/src/main/java/org/opensearch/index/engine/DocumentCountTracker.java new file mode 100644 index 0000000000000..342ee7ba8e0c0 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/engine/DocumentCountTracker.java @@ -0,0 +1,100 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.engine; + +import org.apache.lucene.index.IndexWriter; +import org.opensearch.common.CheckedSupplier; +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.seqno.SequenceNumbers; + +import java.io.IOException; +import java.util.concurrent.atomic.AtomicLong; + +/** + * Tracks in-flight document counts to prevent exceeding the maximum document limit per shard. + *

+ * This class is shared between {@link InternalEngine} (Lucene-based) and + * {@link DataFormatAwareEngine} (pluggable data format). It guards against a race where + * multiple concurrent writes pass the document count check but haven't yet been committed — + * without tracking, the underlying storage could reject the write after a sequence number + * has already been assigned, creating gaps. + * + * @opensearch.internal + */ +class DocumentCountTracker { + + /** + * If multiple writes passed {@link DocumentCountTracker#tryAcquireInFlightDocs(Engine.Operation, int)} but they haven't adjusted + * {@link IndexWriter#getPendingNumDocs()} yet, then IndexWriter can fail with too many documents. In this case, we have to fail + * the engine because we already generated sequence numbers for write operations; otherwise we will have gaps in sequence numbers. + * To avoid this, we keep track the number of documents that are being added to IndexWriter, and account it in + * {@link DocumentCountTracker#tryAcquireInFlightDocs(Engine.Operation, int)}. Although we can double count some inFlight documents in IW and Engine, + * this shouldn't be an issue because it happens for a short window and we adjust the inFlightDocCount once an indexing is completed. + */ + private final AtomicLong inFlightDocCount = new AtomicLong(); + + private final CheckedSupplier indexedDocs; + private final long docsAllowed; + private final ShardId shardId; + + /** + * @param shardId the shard this tracker belongs to (for error messages) + * @param indexedDocs supplier returning the current committed + pending doc count + * @param docsAllowed maximum number of documents allowed in this shard + */ + DocumentCountTracker(ShardId shardId, CheckedSupplier indexedDocs, long docsAllowed) { + this.shardId = shardId; + this.indexedDocs = indexedDocs; + this.docsAllowed = docsAllowed; + } + + /** + * Attempts to reserve {@code addingDocs} document slots. If the total (in-flight + indexed) + * would exceed the limit, the reservation is rolled back and an exception is returned. + * + * @param operation the engine operation (must be PRIMARY with unassigned seq no) + * @param addingDocs number of documents being added + * @return {@code null} if acquired successfully, or an {@link IllegalArgumentException} if the limit would be exceeded + */ + Exception tryAcquireInFlightDocs(Engine.Operation operation, int addingDocs) { + assert operation.origin() == Engine.Operation.Origin.PRIMARY : operation; + assert operation.seqNo() == SequenceNumbers.UNASSIGNED_SEQ_NO : operation; + assert addingDocs > 0 : addingDocs; + long totalDocs; + try { + totalDocs = inFlightDocCount.addAndGet(addingDocs) + indexedDocs.get(); + } catch (IOException e) { + releaseInFlightDocs(addingDocs); + return e; + } + if (totalDocs > docsAllowed) { + releaseInFlightDocs(addingDocs); + return new IllegalArgumentException( + "Number of documents in shard " + shardId + " exceeds the limit of [" + docsAllowed + "] documents per shard" + ); + } else { + return null; + } + } + + /** + * Releases previously acquired in-flight document slots after indexing completes or fails. + * + * @param numDocs number of document slots to release (must be non-negative) + */ + void releaseInFlightDocs(int numDocs) { + assert numDocs >= 0 : numDocs; + final long newValue = inFlightDocCount.addAndGet(-numDocs); + assert newValue >= 0 : "inFlightDocCount must not be negative [" + newValue + "]"; + } + + long getInFlightDocCount() { + return inFlightDocCount.get(); + } +} diff --git a/server/src/main/java/org/opensearch/index/engine/InternalEngine.java b/server/src/main/java/org/opensearch/index/engine/InternalEngine.java index 7c53476fa1a6c..b5752abfa0c02 100644 --- a/server/src/main/java/org/opensearch/index/engine/InternalEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/InternalEngine.java @@ -204,21 +204,11 @@ public class InternalEngine extends Engine { private final AtomicBoolean trackTranslogLocation = new AtomicBoolean(false); private final KeyedLock noOpKeyedLock = new KeyedLock<>(); - /** - * If multiple writes passed {@link InternalEngine#tryAcquireInFlightDocs(Operation, int)} but they haven't adjusted - * {@link IndexWriter#getPendingNumDocs()} yet, then IndexWriter can fail with too many documents. In this case, we have to fail - * the engine because we already generated sequence numbers for write operations; otherwise we will have gaps in sequence numbers. - * To avoid this, we keep track the number of documents that are being added to IndexWriter, and account it in - * {@link InternalEngine#tryAcquireInFlightDocs(Operation, int)}. Although we can double count some inFlight documents in IW and Engine, - * this shouldn't be an issue because it happens for a short window and we adjust the inFlightDocCount once an indexing is completed. - */ - private final AtomicLong inFlightDocCount = new AtomicLong(); - - private final int maxDocs; private final IndexWriterFactory nativeIndexWriterFactory; private final IndexingStrategyPlanner indexingStrategyPlanner; private final DeletionStrategyPlanner deletionStrategyPlanner; + private final DocumentCountTracker documentCountTracker; public InternalEngine(EngineConfig engineConfig) { this(engineConfig, IndexWriter.MAX_DOCS, LocalCheckpointTracker::new, TranslogEventListener.NOOP_TRANSLOG_EVENT_LISTENER); @@ -240,7 +230,6 @@ public TranslogManager translogManager() { TranslogEventListener translogEventListener ) { super(engineConfig); - this.maxDocs = maxDocs; if (engineConfig.isAutoGeneratedIDsOptimizationEnabled() == false) { updateAutoIdTimestamp(Long.MAX_VALUE, true); } @@ -351,6 +340,11 @@ public void onFailure(String reason, Exception ex) { } completionStatsCache = new CompletionStatsCache(() -> acquireSearcher("completion_stats")); this.externalReaderManager.addListener(completionStatsCache); + this.documentCountTracker = new DocumentCountTracker( + engineConfig.getShardId(), + documentIndexWriter::getPendingNumDocs, + maxDocs + ); this.indexingStrategyPlanner = new IndexingStrategyPlanner( engineConfig.getIndexSettings(), engineConfig.getShardId(), @@ -362,7 +356,7 @@ public void onFailure(String reason, Exception ex) { this::compareOpToLuceneDocBasedOnSeqNo, this::resolveDocVersion, this::updateAutoIdTimestamp, - this::tryAcquireInFlightDocs + documentCountTracker::tryAcquireInFlightDocs ); this.deletionStrategyPlanner = new DeletionStrategyPlanner( engineConfig.getIndexSettings(), @@ -370,7 +364,7 @@ public void onFailure(String reason, Exception ex) { this::hasBeenProcessedBefore, this::compareOpToLuceneDocBasedOnSeqNo, this::resolveDocVersion, - this::tryAcquireInFlightDocs, + documentCountTracker::tryAcquireInFlightDocs, this::incrementVersionLookup ); success = true; @@ -990,7 +984,7 @@ public IndexResult index(Index index) throws IOException { indexResult.freeze(); return indexResult; } finally { - releaseInFlightDocs(reservedDocs); + documentCountTracker.releaseInFlightDocs(reservedDocs); } } catch (RuntimeException | IOException e) { try { @@ -1227,35 +1221,14 @@ public DeleteResult delete(Delete delete) throws IOException { } throw e; } finally { - releaseInFlightDocs(reservedDocs); + documentCountTracker.releaseInFlightDocs(reservedDocs); } maybePruneDeletes(); return deleteResult; } - private Exception tryAcquireInFlightDocs(Operation operation, int addingDocs) { - assert operation.origin() == Operation.Origin.PRIMARY : operation; - assert operation.seqNo() == SequenceNumbers.UNASSIGNED_SEQ_NO : operation; - assert addingDocs > 0 : addingDocs; - long totalDocs = inFlightDocCount.addAndGet(addingDocs) + documentIndexWriter.getPendingNumDocs(); - if (totalDocs > maxDocs) { - releaseInFlightDocs(addingDocs); - return new IllegalArgumentException( - "Number of documents in shard " + shardId + " exceeds the limit of [" + maxDocs + "] documents per shard" - ); - } else { - return null; - } - } - - private void releaseInFlightDocs(int numDocs) { - assert numDocs >= 0 : numDocs; - final long newValue = inFlightDocCount.addAndGet(-numDocs); - assert newValue >= 0 : "inFlightDocCount must not be negative [" + newValue + "]"; - } - long getInFlightDocCount() { - return inFlightDocCount.get(); + return documentCountTracker.getInFlightDocCount(); } protected DeletionStrategy deletionStrategyForOperation(final Delete delete) throws IOException { diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/IndexingExecutionEngine.java b/server/src/main/java/org/opensearch/index/engine/dataformat/IndexingExecutionEngine.java index 699a75952b132..bf511c0c7e32f 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/IndexingExecutionEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/IndexingExecutionEngine.java @@ -138,4 +138,13 @@ default Map> buildReaderManager(ReaderManager default Exception getTragicException() { return null; } + + /** + * Returns the maximum number of documents this engine can index per shard. + * Used by {@link org.opensearch.index.engine.DocumentCountTracker} to enforce + * the document count limit. Defaults to {@link Long#MAX_VALUE} (unlimited). + */ + default long maxIndexableDocs() { + return Long.MAX_VALUE; + } } diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index 28a7440828654..7fb34b4673d7f 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -285,7 +285,7 @@ private Engine.Index indexOp(ParsedDocument doc) { /** * Wraps {@link EngineTestCase#createParsedDoc(String, String)} to attach a - * {@link MockDocumentInput}. {@link DataFormatAwareEngine#indexIntoEngine} requires a + * {@link MockDocumentInput}. {@link DataFormatAwareEngine#index} requires a * non-null {@code DocumentInput} on every doc (it calls {@code addField} for version, * seqNo, primaryTerm), but the base helper leaves that field null because production * code (e.g., {@code IndexShard.applyIndexOperation}) populates it via @@ -3553,4 +3553,106 @@ public void testOnSettingsChangedUnrecognizedTieringValueNotFrozen() throws IOEx assertEquals(Engine.Result.Type.SUCCESS, result.getResultType()); } } + + public void testDocCountLimitRejectsIndexingAboveMax() throws Exception { + final int maxDocs = randomIntBetween(1, 20); + MockIndexingExecutionEngine limitedEngine = new MockIndexingExecutionEngine(mockDataFormat) { + @Override + public long maxIndexableDocs() { + return maxDocs; + } + }; + MockDataFormatPlugin limitedPlugin = new MockDataFormatPlugin(mockDataFormat) { + @Override + public IndexingExecutionEngine indexingEngine(IndexingEngineConfig settings) { + return limitedEngine; + } + }; + + EngineConfig config = buildFailingEngineConfig(limitedPlugin, new Engine.EventListener() { + @Override + public void onFailedEngine(String reason, Exception failure) {} + }); + try (DataFormatAwareEngine eng = new DataFormatAwareEngine(config)) { + int numDocs = between(maxDocs + 1, maxDocs * 2); + for (int i = 0; i < numDocs; i++) { + final long maxSeqNo = eng.getProcessedLocalCheckpoint(); + Engine.IndexResult result = eng.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + if (i < maxDocs) { + assertThat("doc " + i + " should succeed", result.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + assertNull(result.getFailure()); + assertThat(result.getSeqNo(), greaterThanOrEqualTo(0L)); + } else { + assertThat("doc " + i + " should be rejected", result.getResultType(), equalTo(Engine.Result.Type.FAILURE)); + assertNotNull(result.getFailure()); + assertThat(result.getFailure(), instanceOf(IllegalArgumentException.class)); + assertThat( + result.getFailure().getMessage(), + containsString("Number of documents in shard " + shardId + " exceeds the limit of [" + maxDocs + "]") + ); + assertThat("seq no must not be assigned on rejection", result.getSeqNo(), equalTo(SequenceNumbers.UNASSIGNED_SEQ_NO)); + assertThat("local checkpoint must not advance on rejection", eng.getProcessedLocalCheckpoint(), equalTo(maxSeqNo)); + } + } + // Engine must remain open on primary even after rejections + eng.refresh("verify-still-open"); + } + } + + public void testConcurrentIndexAndRefreshDocCountNeverUnderCounts() throws Exception { + Path translogPath = createTempDir(); + try (DataFormatAwareEngine eng = createDFAEngine(store, translogPath)) { + int numThreads = 4; + int docsPerThread = 50; + int totalDocs = numThreads * docsPerThread; + CyclicBarrier barrier = new CyclicBarrier(numThreads + 1); // +1 for refresh thread + AtomicInteger successCount = new AtomicInteger(); + + Thread[] indexThreads = new Thread[numThreads]; + for (int t = 0; t < numThreads; t++) { + final int threadId = t; + indexThreads[t] = new Thread(() -> { + try { + barrier.await(); + for (int d = 0; d < docsPerThread; d++) { + Engine.IndexResult result = eng.index(indexOp(createParsedDocWithInput(threadId + "_" + d, null))); + if (result.getResultType() == Engine.Result.Type.SUCCESS) { + successCount.incrementAndGet(); + } + } + } catch (Exception e) { + throw new RuntimeException(e); + } + }); + indexThreads[t].start(); + } + + // Refresh thread that runs concurrently with indexing + Thread refreshThread = new Thread(() -> { + try { + barrier.await(); + for (int i = 0; i < 10; i++) { + eng.refresh("concurrent-refresh-" + i); + Thread.sleep(5); + } + } catch (Exception e) { + throw new RuntimeException(e); + } + }); + refreshThread.start(); + + for (Thread t : indexThreads) + t.join(30_000); + refreshThread.join(30_000); + + // Final refresh to flush remaining buffered docs + eng.refresh("final"); + + // Verify: catalogSnapshot docs + pendingRowCount must equal successCount + try (GatedCloseable ref = eng.acquireSnapshot()) { + long catalogDocs = ref.get().getNumDocs(); + assertThat("catalog must contain all successfully indexed docs", catalogDocs, equalTo((long) successCount.get())); + } + } + } } diff --git a/server/src/test/java/org/opensearch/index/engine/DocumentCountTrackerTests.java b/server/src/test/java/org/opensearch/index/engine/DocumentCountTrackerTests.java new file mode 100644 index 0000000000000..2c0fea8f7bbf5 --- /dev/null +++ b/server/src/test/java/org/opensearch/index/engine/DocumentCountTrackerTests.java @@ -0,0 +1,84 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.engine; + +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.engine.Engine.Operation; +import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.concurrent.atomic.AtomicLong; + +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +public class DocumentCountTrackerTests extends OpenSearchTestCase { + + private static final ShardId SHARD_ID = new ShardId("test", "_na_", 0); + + private Operation mockPrimaryOp() { + Operation op = mock(Operation.class); + when(op.origin()).thenReturn(Operation.Origin.PRIMARY); + when(op.seqNo()).thenReturn(SequenceNumbers.UNASSIGNED_SEQ_NO); + return op; + } + + public void testAcquireWithinLimitReturnsNull() { + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, () -> 0L, 100); + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 10)); + assertEquals(10, tracker.getInFlightDocCount()); + } + + public void testAcquireExceedingLimitReturnsException() { + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, () -> 90L, 100); + Exception ex = tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 20); + assertNotNull(ex); + assertTrue(ex instanceof IllegalArgumentException); + assertTrue(ex.getMessage().contains("exceeds the limit")); + // Should have rolled back + assertEquals(0, tracker.getInFlightDocCount()); + } + + public void testAcquireExactlyAtLimitSucceeds() { + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, () -> 90L, 100); + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 10)); + assertEquals(10, tracker.getInFlightDocCount()); + } + + public void testReleaseDecrementsCount() { + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, () -> 0L, 100); + tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 5); + assertEquals(5, tracker.getInFlightDocCount()); + tracker.releaseInFlightDocs(3); + assertEquals(2, tracker.getInFlightDocCount()); + } + + public void testMultipleAcquiresAccumulate() { + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, () -> 0L, 100); + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 30)); + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 30)); + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 30)); + assertEquals(90, tracker.getInFlightDocCount()); + // Next one should fail (90 in-flight + 0 indexed + 20 = 110 > 100) + Exception ex = tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 20); + assertNotNull(ex); + assertEquals(90, tracker.getInFlightDocCount()); + } + + public void testIndexedDocsCountedAgainstLimit() { + AtomicLong indexedDocs = new AtomicLong(50); + DocumentCountTracker tracker = new DocumentCountTracker(SHARD_ID, indexedDocs::get, 100); + // 50 indexed + 40 in-flight = 90, OK + assertNull(tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 40)); + // 50 indexed + 40 in-flight + 20 = 110, exceeds + Exception ex = tracker.tryAcquireInFlightDocs(mockPrimaryOp(), 20); + assertNotNull(ex); + assertEquals(40, tracker.getInFlightDocCount()); + } +} From 74810b65c4f8a8812402db909c0041b90b83b864 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Thu, 18 Jun 2026 21:22:56 +0530 Subject: [PATCH 02/94] Resolve parquet stats against per-segment schema to fix schema-drift row loss (#22209) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Row-group / page statistics pruning resolved `StatisticsConverter` against the full union table schema. `StatisticsConverter` maps a column name to a parquet leaf positionally (parquet crate `parquet_column`), so under dynamic-mapping schema drift — where a segment's own parquet schema is narrower or reordered relative to the union schema — the lookup lands on the wrong leaf or off the end of the file. That yields all-null / wrong-column stats, and an always-true residual such as `severity >= 0` then evaluates to "cannot match" and the whole row group / segment is wrongly pruned, silently dropping matching rows (observed: `match() AND severity >= 0` returned ~⅓ of `match()` alone). Fix all three stats-resolution sites to build the arrow schema from the segment's own parquet descriptor via `parquet_to_arrow_schema(descr, kv)`, so the positional lookup lands on the right leaf: - page_pruner.rs `eval_leaf` (RG-level / whole-segment prune) - page_pruner.rs `PagePruner::prune_rg` (page-level prune) - dynamic_filter.rs `RgPruningContext::rg_provably_excluded` (dynamic-filter prefetch prune) Tests: - Two Rust unit guards (one per file) build a fixture where the column resolves positionally onto a different real column and assert the RG is not pruned; both fail without the fix. - SchemaDriftPrunePplIT: end-to-end REST IT over a composite index with a Lucene secondary and dynamic mapping, merge disabled (new integTestNoMerge cluster variant), 24 drifting segments. Asserts numeric-filter-only, sort+limit, match()+residual, and match()+filter+sort+limit all return correct counts. Verified to fail without the fix (match()+severity>=0 returned 6600 vs 7200). Signed-off-by: Arpit Bandejiya --- .../rust/src/indexed_table/dynamic_filter.rs | 75 ++++- .../rust/src/indexed_table/page_pruner.rs | 82 ++++- sandbox/qa/analytics-engine-rest/build.gradle | 25 ++ .../qa/SchemaDriftPruneNoMergeIT.java | 286 ++++++++++++++++++ 4 files changed, 457 insertions(+), 11 deletions(-) create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SchemaDriftPruneNoMergeIT.java diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs index 2a1912e0bf89c..27a53ee5c99ca 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs @@ -204,10 +204,19 @@ impl RgPruningContext { let Some(rg_meta) = metadata.row_groups().get(rg_idx) else { return false; }; + // Resolve stats against the segment's OWN parquet schema, not the full table + // schema: StatisticsConverter maps name→parquet-column positionally, so the full + // schema reads the wrong/no column under dynamic-mapping schema drift. + let descr = metadata.file_metadata().schema_descr(); + let seg_schema = datafusion::parquet::arrow::parquet_to_arrow_schema( + descr, + metadata.file_metadata().key_value_metadata(), + ) + .unwrap_or_else(|_| self.schema.as_ref().clone()); let stats = SingleRowGroupStatistics { - parquet_schema: metadata.file_metadata().schema_descr(), + parquet_schema: descr, rg_meta, - arrow_schema: self.schema.as_ref(), + arrow_schema: &seg_schema, }; // `prune` returns one bool per container (we have exactly one). `false` // means "provably cannot match" → safe to skip. Any error => keep. @@ -217,3 +226,65 @@ impl RgPruningContext { } } } + +#[cfg(test)] +mod tests { + use super::*; + use datafusion::arrow::array::{Int32Array, RecordBatch}; + use datafusion::arrow::datatypes::{DataType, Field}; + use datafusion::parquet::arrow::arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}; + use datafusion::parquet::arrow::ArrowWriter; + use datafusion::physical_expr::expressions::{BinaryExpr, Column as PhysColumn, Literal}; + use datafusion::logical_expr::Operator; + use tempfile::NamedTempFile; + + // Schema drift: the table schema orders columns differently from the segment's own + // parquet file. StatisticsConverter maps a column name to a parquet index positionally, + // so resolving `severity` against the table schema lands on a DIFFERENT real file column + // (here `neg`, all-negative). The always-true dynamic filter `severity >= 0` then reads + // neg's stats (max < 0) and wrongly prunes the whole RG. Resolving against the segment's + // own schema reads the real `severity` stats and keeps the RG. + #[test] + fn dynamic_rg_prune_resolves_stats_against_segment_schema_under_drift() { + // File order: name, neg, severity. + let file_schema = Arc::new(Schema::new(vec![ + Field::new("name", DataType::Int32, false), + Field::new("neg", DataType::Int32, false), + Field::new("severity", DataType::Int32, false), + ])); + // Table order puts `severity` at the position the file holds `neg`. + let table_schema = Arc::new(Schema::new(vec![ + Field::new("name", DataType::Int32, false), + Field::new("severity", DataType::Int32, false), + Field::new("neg", DataType::Int32, false), + ])); + let batch = RecordBatch::try_new( + file_schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3, 4])), + Arc::new(Int32Array::from(vec![-9, -8, -7, -6])), + Arc::new(Int32Array::from(vec![0, 5, 10, 17])), + ], + ) + .unwrap(); + let tmp = NamedTempFile::new().unwrap(); + let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), file_schema, None).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + let md = ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()) + .unwrap() + .metadata() + .clone(); + + let sev: Arc = Arc::new(PhysColumn::new("severity", 1)); + let zero: Arc = Arc::new(Literal::new(ScalarValue::Int32(Some(0)))); + let expr: Arc = Arc::new(BinaryExpr::new(sev, Operator::GtEq, zero)); + let predicate = Arc::new(PruningPredicate::try_new(expr, table_schema.clone()).unwrap()); + let ctx = RgPruningContext { predicate, schema: table_schema }; + + assert!( + !ctx.rg_provably_excluded(&md, 0), + "severity >= 0 is always true for this segment; it must not be pruned under schema drift" + ); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs index 19f8ea7037baa..5e712bb9db511 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs @@ -116,12 +116,21 @@ impl PagePruner { Option<(StatisticsConverter<'_>, usize)>, )> = Vec::new(); + // Resolve against the segment's own schema (see eval_leaf): the full table + // schema misaligns StatisticsConverter's positional column lookup under + // dynamic-mapping schema drift. + let descr = self.metadata.file_metadata().schema_descr(); + let seg_arrow_schema = match datafusion::parquet::arrow::parquet_to_arrow_schema( + descr, + self.metadata.file_metadata().key_value_metadata(), + ) { + Ok(s) => Arc::new(s), + Err(_) => Arc::clone(&self.schema), + }; + for col in &columns { - let converter = match StatisticsConverter::try_new( - col.name(), - &self.schema, - self.metadata.file_metadata().schema_descr(), - ) { + let converter = match StatisticsConverter::try_new(col.name(), &seg_arrow_schema, descr) + { Ok(c) => c, Err(_) => { // Column not in Arrow schema either — nothing we can @@ -525,7 +534,20 @@ fn eval_leaf( if columns.is_empty() { return vec![true; num]; } - let arrow_schema = schema.as_ref(); + // Resolve stats against the segment's OWN parquet schema, not the full table + // schema. StatisticsConverter maps a column name to a parquet index positionally + // (parquet crate `parquet_column`), so passing the full schema reads the wrong / + // no column when the segment's schema is narrower or reordered (dynamic-mapping + // schema drift) — yielding null stats that prune RGs that actually match. + let descr = metadata.file_metadata().schema_descr(); + let seg_arrow_schema = match datafusion::parquet::arrow::parquet_to_arrow_schema( + descr, + metadata.file_metadata().key_value_metadata(), + ) { + Ok(s) => Arc::new(s), + Err(_) => Arc::clone(schema), + }; + let arrow_schema = seg_arrow_schema.as_ref(); let rg_metas: Vec<_> = rg_indices .iter() .filter_map(|&idx| metadata.row_groups().get(idx)) @@ -538,9 +560,7 @@ fn eval_leaf( if arrow_schema.index_of(col.name()).is_err() { continue; } - let converter = match StatisticsConverter::try_new( - col.name(), arrow_schema, metadata.file_metadata().schema_descr(), - ) { + let converter = match StatisticsConverter::try_new(col.name(), arrow_schema, descr) { Ok(c) => c, Err(_) => continue, }; @@ -1537,4 +1557,48 @@ mod tests { // AND₃/NOT/p8 assert_eq!(spt.children[2].children[1].children[0].rg_can_match, vec![true, true, false, false, false]); } + + // Schema drift: the table schema orders columns differently from the segment's own + // parquet file, so resolving `severity` positionally against the table schema lands on + // a DIFFERENT real file column (`neg`, all-negative). The always-true `severity >= 0` + // then reads neg's stats (max < 0) and `eval_leaf` wrongly prunes the RG. Resolving + // against the segment's own schema reads the real `severity` stats and keeps it. + #[test] + fn eval_leaf_resolves_stats_against_segment_schema_under_drift() { + let file_schema = Arc::new(Schema::new(vec![ + Field::new("name", DataType::Int32, false), + Field::new("neg", DataType::Int32, false), + Field::new("severity", DataType::Int32, false), + ])); + let table_schema = Arc::new(Schema::new(vec![ + Field::new("name", DataType::Int32, false), + Field::new("severity", DataType::Int32, false), + Field::new("neg", DataType::Int32, false), + ])); + let batch = RecordBatch::try_new( + file_schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3, 4])), + Arc::new(Int32Array::from(vec![-9, -8, -7, -6])), + Arc::new(Int32Array::from(vec![0, 5, 10, 17])), + ], + ) + .unwrap(); + let tmp = NamedTempFile::new().unwrap(); + let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), file_schema, None).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + let md = ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()) + .unwrap() + .metadata() + .clone(); + + let expr = bin(col("severity", 1), Operator::GtEq, lit_int(0)); + let pp = build_pruning_predicate(&expr, table_schema.clone()).unwrap(); + assert_eq!( + eval_leaf(&pp, &md, &table_schema, &[0]), + vec![true], + "severity >= 0 is always true; eval_leaf must not prune under schema drift" + ); + } } diff --git a/sandbox/qa/analytics-engine-rest/build.gradle b/sandbox/qa/analytics-engine-rest/build.gradle index 68ed98ddcc648..aa8507e45c6b7 100644 --- a/sandbox/qa/analytics-engine-rest/build.gradle +++ b/sandbox/qa/analytics-engine-rest/build.gradle @@ -129,6 +129,7 @@ integTest { exclude '**/SpillStatsEnabledIT.class' exclude '**/SpillCleanupOnBootIT.class' exclude '**/YmlOversamplingIT.class' + exclude '**/*NoMergeIT.class' // Note: parallel forks against the same 2-node testCluster slow the suite down // (cluster is the bottleneck, not JVM startup) and cause cross-fork data races @@ -189,6 +190,30 @@ testClusters.integTestStreaming { configureAnalyticsCluster(delegate) } +// ── No-merge variant: 2 nodes, parquet segment merge disabled ──────────────── +// Runs every *NoMergeIT with the dataformat merge gate turned off. The gate +// (DataFormatAwareEngine.MERGE_ENABLED_PROPERTY) defaults to ENABLED, so background +// merges would otherwise collapse per-flush parquet segments. Tests that need each +// flush to persist as its own segment (e.g. to exercise multi-segment / schema-drift +// behavior) belong here — name them with the *NoMergeIT suffix. They are excluded from +// the default integTest above so they only run under this merge-disabled cluster. +task integTestNoMerge(type: RestIntegTestTask) { + description = 'Runs *NoMergeIT tests with parquet segment merge disabled' + testClassesDirs = sourceSets.test.output.classesDirs + classpath = sourceSets.test.runtimeClasspath + filter { + includeTestsMatching 'org.opensearch.analytics.qa.*NoMergeIT' + } + systemProperty 'tests.security.manager', 'false' +} +check.dependsOn(integTestNoMerge) + +testClusters.integTestNoMerge { + numberOfNodes = 2 + configureAnalyticsCluster(delegate) + systemProperty 'opensearch.pluggable.dataformat.merge.enabled', 'false' +} + // ── Spill-enabled variant: 2 nodes, datafusion.spill_directory + spill_memory_limit ── // Use the Gradle build directory so each clean build starts with a fresh empty spill // directory and no stale state can leak between runs (`./gradlew clean` wipes build/). diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SchemaDriftPruneNoMergeIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SchemaDriftPruneNoMergeIT.java new file mode 100644 index 0000000000000..e833033d3ec4a --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SchemaDriftPruneNoMergeIT.java @@ -0,0 +1,286 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.io.IOException; +import java.util.List; +import java.util.Map; + +/** + * Regression test for parquet row-group / page statistics pruning under dynamic-mapping + * schema drift across segments. Automates the manual cluster reproduction that + * surfaced the bug (24 segments, wide dynamic schemas, merges off). + * + *

The bug. {@code StatisticsConverter} resolves a column name to a parquet leaf + * positionally: it finds the column's ordinal in the Arrow schema it is handed and + * uses that ordinal to index into the parquet file (parquet crate {@code parquet_column}). + * The stats-pruning paths ({@code eval_leaf} / {@code PagePruner::prune_rg} in + * {@code page_pruner.rs}, and {@code rg_provably_excluded} in {@code dynamic_filter.rs}) used + * to pass the union table schema. That schema's field order is first-seen across + * segments, but each individual segment's parquet column order follows the Java mapper's + * {@code HashMap} iteration order for that segment's own field set. When segments + * have different-sized field sets (dynamic mapping adding fields over time), {@code severity} + * lands at a different ordinal in each segment than it has in the union schema. The positional + * lookup then reads the wrong leaf — or finds none — yielding all-null stats, and the + * always-true residual {@code severity >= 0} wrongly prunes those row groups / segments, + * silently dropping matching rows. The fix resolves stats against each segment's own + * arrow schema (derived from its parquet footer). + * + *

How drift is induced. {@code message} (text) and {@code severity} (byte) are + * declared up front, but each flush also indexes a growing set of dynamically-mapped + * numeric fields {@code pad_0..pad_W(s)} (segment {@code s} is wider than segment {@code s-1}). + * Because every flush becomes its own parquet segment, merge is disabled (see the + * {@code integTestNoMerge} cluster variant in build.gradle), and {@code row_group_max_rows} is + * small (multi-RG segments), successive segments carry differently-sized field sets — the + * HashMap-order divergence that drifts {@code severity}'s per-segment ordinal away from its + * union ordinal. The high field count (~300 in the widest segment) is what makes the + * divergence reliable; small fixtures (a handful of fields) do not drift and pass even without + * the fix. + * + *

The {@code text} field is declared in the initial mapping on purpose: + * {@code match()} on a dynamically-added field across segments is a separate, known + * issue ({@code DynamicMappingSearchIT#testSearchOnDynamicallyAddedFields}, {@code @AwaitsFix} + * PR #21701), so the full-text field stays stable and only the numeric pad fields drift. + * + *

Query shapes (each asserted against a ground truth computed during ingest): + *

    + *
  1. Numeric filter only — {@code where severity >= 0 | stats count()} + * (hits {@code eval_leaf} / {@code prune_rg} on the parquet-only path).
    2. + *
  2. Sort + limit (TopK) — {@code where severity >= 0 | sort - severity | head k} + * (adds the {@code DynamicRgPruner} / {@code rg_provably_excluded} path).
    3. + *
  3. match() + numeric residual — {@code where match(message,'alpha') and severity >= 0 | stats count()} + * (the production shape: Lucene-delegated text predicate AND a stats-pruned residual).
    4. + *
  4. match() + filter + sort + limit — all three prune paths at once.
    5. + *
+ * + *

Pre-fix, the always-true {@code severity >= 0} residual prunes drifted segments and the + * counts come in below ground truth. Post-fix every count matches exactly. + */ +public class SchemaDriftPruneNoMergeIT extends AnalyticsRestTestCase { + + private static final String INDEX = "schema_drift_prune"; + private static final String TARGET = "alpha"; + + // The bug is driven by per-segment dynamic-field WIDTH: the Java mapper's HashMap column + // order scatters `severity` to a different ordinal in each differently-sized segment, + // diverging from its first-seen ordinal in the union table schema, so the positional + // StatisticsConverter lookup reads the wrong/no column. Reproducing it reliably needs many + // segments of widely-varying width (smaller fixtures — e.g. 4 segments up to 150 fields — + // do not diverge enough and pass even without the fix). These values mirror the manual + // cluster reproduction (24 segments, dynamic widths up to ~300, multi-RG segments) and were + // verified to fail without the fix (match()+severity>=0 returned 6600 instead of 7200). + + /** Each flush becomes one parquet segment; widths grow so per-segment field sets differ. */ + private static final int SEGMENTS = 24; + /** Docs per segment. With row_group_max_rows small this yields multiple RGs per segment. */ + private static final int DOCS_PER_SEGMENT = 500; + /** Matching (contain TARGET) docs per segment; the rest are non-matching. */ + private static final int MATCHING_PER_SEGMENT = 300; + /** Widest segment's pad-field count. Segment s carries pad_0..pad_{W(s)-1}. */ + private static final int MAX_PAD_FIELDS = 300; + /** Parquet row-group size — small so each segment has several row groups (multi-RG like prod). */ + private static final int ROW_GROUP_MAX_ROWS = 100; + + private static final String[] MATCHING_TEMPLATES = new String[] { + "bravo alpha charlie", + "delta alpha echo foxtrot", + "alpha golf hotel india", + "juliet kilo alpha lima" }; + + private static final String[] NON_MATCHING_TEMPLATES = new String[] { + "bravo charlie delta", + "echo foxtrot golf", + "hotel india juliet kilo", + "papa quebec romeo sierra" }; + + // Ground truth accumulated during ingest. + private long totalDocs = 0L; + private long totalMatching = 0L; + + public void testStatsPruningCorrectUnderSchemaDrift() throws Exception { + createCompositeIndex(); + seedDriftingSegments(); + + // 1) Numeric-filter-only: severity >= 0 is true for every doc → full count. + long filterOnly = scalarCount("source = " + INDEX + " | where severity >= 0 | stats count()"); + assertEquals("numeric filter only (severity>=0) must not drop rows under schema drift", totalDocs, filterOnly); + + // 2) Sort + limit (TopK): exercises the dynamic-filter prune path. head k over the + // filtered set must return exactly min(k, totalDocs) rows, all with severity >= 0. + int k = 50; + List> topk = datarows( + executePpl("source = " + INDEX + " | where severity >= 0 | sort - severity | head " + k + " | fields severity") + ); + assertEquals("sort+limit row count under schema drift", Math.min(k, (int) totalDocs), topk.size()); + for (List r : topk) { + assertTrue("every returned row satisfies severity >= 0", num(r.get(0)) >= 0); + } + + // 3) match() + numeric residual: the production shape. Lucene-delegated match() AND a + // stats-pruned residual. Must equal the matching-doc ground truth. + long matchAndResidual = scalarCount( + "source = " + INDEX + " | where match(message, '" + TARGET + "') and severity >= 0 | stats count()" + ); + assertEquals("match() AND severity>=0 must not drop rows under schema drift", totalMatching, matchAndResidual); + + // Sanity: match() alone agrees with the residual-combined count (residual is always true). + long matchOnly = scalarCount("source = " + INDEX + " | where match(message, '" + TARGET + "') | stats count()"); + assertEquals("match() alone equals match()+residual (residual is always true)", matchOnly, matchAndResidual); + + // 4) match() + filter + sort + limit: all three prune paths together. + List> combined = datarows( + executePpl( + "source = " + INDEX + " | where match(message, '" + TARGET + "') and severity >= 0 " + + "| sort - severity | head " + k + " | fields severity" + ) + ); + assertEquals("match()+filter+sort+limit row count under schema drift", Math.min(k, (int) totalMatching), combined.size()); + for (List r : combined) { + assertTrue("every combined row satisfies severity >= 0", num(r.get(0)) >= 0); + } + } + + // ── Setup / ingest ─────────────────────────────────────────────────────────── + + private void createCompositeIndex() throws IOException { + try { + client().performRequest(new Request("DELETE", "/" + INDEX)); + } catch (Exception ignored) { + // index may not exist yet + } + + // message + severity declared up front; dynamic:true (the default) lets pad_* fields + // be auto-mapped per segment, producing the schema drift this test depends on. + // total_fields.limit is raised to admit the ~300 dynamic pad fields; row_group_max_rows + // is small so each segment has several row groups. + String body = "{" + + "\"settings\": {" + + " \"number_of_shards\": 1," + + " \"number_of_replicas\": 0," + + " \"index.mapping.total_fields.limit\": 2000," + + " \"index.parquet.row_group_max_rows\": " + ROW_GROUP_MAX_ROWS + "," + + " \"index.pluggable.dataformat.enabled\": true," + + " \"index.pluggable.dataformat\": \"composite\"," + + " \"index.composite.primary_data_format\": \"parquet\"," + + " \"index.composite.secondary_data_formats\": \"lucene\"" + + "}," + + "\"mappings\": {" + + " \"dynamic\": true," + + " \"properties\": {" + + " \"message\": { \"type\": \"text\" }," + + " \"severity\": { \"type\": \"byte\" }" + + " }" + + "}" + + "}"; + + Request createIndex = new Request("PUT", "/" + INDEX); + createIndex.setJsonEntity(body); + Map response = assertOkAndParse(client().performRequest(createIndex), "create index"); + assertEquals(true, response.get("acknowledged")); + + Request health = new Request("GET", "/_cluster/health/" + INDEX); + health.addParameter("wait_for_status", "green"); + health.addParameter("timeout", "30s"); + client().performRequest(health); + } + + /** + * Seeds {@link #SEGMENTS} segments of growing width. Segment {@code s} writes documents + * carrying {@code pad_0..pad_{W(s)-1}} dynamically-mapped numeric fields, where {@code W(s)} + * grows from a few fields up to {@link #MAX_PAD_FIELDS}. Successive segments therefore have + * different-sized field sets → divergent per-segment HashMap column order → {@code severity} + * drifts to a different ordinal than its union-schema ordinal. Every doc has a non-negative + * {@code severity}, so {@code severity >= 0} is always true and must never prune. + */ + private void seedDriftingSegments() throws IOException { + for (int s = 0; s < SEGMENTS; s++) { + int width = padWidthForSegment(s); + StringBuilder bulk = new StringBuilder(DOCS_PER_SEGMENT * 64); + for (int i = 0; i < DOCS_PER_SEGMENT; i++) { + boolean matching = i < MATCHING_PER_SEGMENT; + String message = matching + ? MATCHING_TEMPLATES[i % MATCHING_TEMPLATES.length] + : NON_MATCHING_TEMPLATES[i % NON_MATCHING_TEMPLATES.length]; + // severity in 0..17, always non-negative. + int severity = (i % 18); + + StringBuilder doc = new StringBuilder(); + doc.append("{\"message\":\"").append(escapeJson(message)).append("\""); + doc.append(",\"severity\":").append(severity); + // Pad values are strongly NEGATIVE so that if `severity` misresolves onto a + // pad column (positional drift), the wrong column's max < 0 makes the always-true + // `severity >= 0` evaluate to "cannot match" → the RG/segment is wrongly pruned. + // (With non-negative pads, a misresolution onto a pad would still satisfy + // severity >= 0 and silently hide the bug.) + for (int p = 0; p < width; p++) { + doc.append(",\"pad_").append(p).append("\":").append(-1000000 - p); + } + doc.append("}"); + + bulk.append("{\"index\":{}}\n"); + bulk.append(doc).append("\n"); + } + + Request req = new Request("POST", "/" + INDEX + "/_bulk"); + req.setJsonEntity(bulk.toString()); + Map parsed = assertOkAndParse(client().performRequest(req), "bulk segment " + s); + assertFalse("bulk errors in segment " + s + ": " + parsed, Boolean.TRUE.equals(parsed.get("errors"))); + + totalDocs += DOCS_PER_SEGMENT; + totalMatching += MATCHING_PER_SEGMENT; + + refresh(); + flush(); // force a parquet segment write; merge is disabled on this cluster variant + } + } + + /** Growing pad width per segment: a few fields in segment 0 up to MAX_PAD_FIELDS in the last. */ + private static int padWidthForSegment(int s) { + int w = (int) (((long) (s + 1) * MAX_PAD_FIELDS) / SEGMENTS); + return Math.max(1, Math.min(MAX_PAD_FIELDS, w)); + } + + // ── REST helpers ─────────────────────────────────────────────────────────────── + + private void refresh() throws IOException { + client().performRequest(new Request("POST", "/" + INDEX + "/_refresh")); + } + + private void flush() throws IOException { + Request req = new Request("POST", "/" + INDEX + "/_flush"); + req.addParameter("force", "true"); + client().performRequest(req); + } + + private long scalarCount(String ppl) throws IOException { + Request req = new Request("POST", "/_plugins/_ppl"); + req.setJsonEntity("{\"query\": \"" + escapeJson(ppl) + "\"}"); + Response resp = client().performRequest(req); + Map parsed = assertOkAndParse(resp, "PPL: " + ppl); + List> rows = datarows(parsed); + assertNotNull("PPL response missing datarows for: " + ppl, rows); + assertEquals("scalar count should return exactly 1 row for: " + ppl, 1, rows.size()); + assertEquals("scalar count should return exactly 1 column for: " + ppl, 1, rows.get(0).size()); + Object v = rows.get(0).get(0); + assertNotNull("scalar count value must not be null for: " + ppl, v); + return ((Number) v).longValue(); + } + + @SuppressWarnings("unchecked") + private static List> datarows(Map result) { + return (List>) result.get("datarows"); + } + + private static double num(Object cell) { + return ((Number) cell).doubleValue(); + } +} From a1a29a4a26e5f6027696290dcf4755e20ba3f61d Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Fri, 19 Jun 2026 01:43:54 +0530 Subject: [PATCH 03/94] Validate total_primary_shards_per_node on templates against the cluster, not an index-local flag (#22203) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit An index template carrying index.routing.allocation.total_primary_shards_per_node was rejected with a 400 ("can only be used with remote store enabled clusters") on an all-remote-store cluster, even though the same setting is accepted via PUT /_settings and at index creation. Root cause: the template path called the create-index overload of validateIndexTotalPrimaryShardsPerNodeSetting(Settings), which reads the index-local index.remote_store.enabled flag. That flag is injected by create-index from a remote node's attributes and is never present in a template's own settings block — templates are validated before any index exists. It is also a private setting, so it cannot be added by hand. Fix: validate the template with the cluster/node-aware overload (MetadataUpdateSettingsService.validateIndexTotalPrimaryShardsPerNodeSetting(Settings, ClusterService)), matching the _settings update path — it checks whether every discovery node is a remote-store node. Harden that check so an empty node set is not treated as remote-store enabled (Stream.allMatch is vacuously true on an empty stream). Adds ShardsLimitAllocationDeciderRemoteStoreEnabledIT (template with the setting on a remote-store cluster propagates to a template-created index and is enforced at allocation) and MetadataIndexTemplateServiceRemoteStoreTests (mock-driven unit test for the remote-store-cluster template validation path, kept in its own class to avoid perturbing the randomized ordering of the shared-fixture suite). Signed-off-by: Arpit Bandejiya --- ...AllocationDeciderRemoteStoreEnabledIT.java | 74 ++++++++ .../MetadataIndexTemplateService.java | 7 +- .../MetadataUpdateSettingsService.java | 13 +- ...aIndexTemplateServiceRemoteStoreTests.java | 173 ++++++++++++++++++ 4 files changed, 257 insertions(+), 10 deletions(-) create mode 100644 server/src/test/java/org/opensearch/cluster/metadata/MetadataIndexTemplateServiceRemoteStoreTests.java diff --git a/server/src/internalClusterTest/java/org/opensearch/cluster/routing/allocation/decider/ShardsLimitAllocationDeciderRemoteStoreEnabledIT.java b/server/src/internalClusterTest/java/org/opensearch/cluster/routing/allocation/decider/ShardsLimitAllocationDeciderRemoteStoreEnabledIT.java index 83f9f70abee91..cc40f89cebe78 100644 --- a/server/src/internalClusterTest/java/org/opensearch/cluster/routing/allocation/decider/ShardsLimitAllocationDeciderRemoteStoreEnabledIT.java +++ b/server/src/internalClusterTest/java/org/opensearch/cluster/routing/allocation/decider/ShardsLimitAllocationDeciderRemoteStoreEnabledIT.java @@ -12,6 +12,7 @@ import org.opensearch.action.admin.indices.settings.put.UpdateSettingsRequest; import org.opensearch.action.support.clustermanager.AcknowledgedResponse; import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.metadata.IndexMetadata; import org.opensearch.cluster.routing.IndexShardRoutingTable; import org.opensearch.cluster.routing.ShardRouting; import org.opensearch.common.settings.Settings; @@ -20,6 +21,7 @@ import org.junit.Before; import java.util.Arrays; +import java.util.Collections; import java.util.HashMap; import java.util.List; import java.util.Map; @@ -174,6 +176,78 @@ public void testUpdatingIndexPrimaryShardLimit() throws Exception { cleanUp("test1"); } + public void testIndexTemplateWithPrimaryShardLimit() throws Exception { + // Put an index template that carries index.routing.allocation.total_primary_shards_per_node. + // On an all-remote-store cluster this must be acknowledged: the template validator should + // recognise the cluster as remote-store-enabled (via node attributes) rather than looking for + // the index-local index.remote_store.enabled flag, which a template can never carry. + AcknowledgedResponse templateResponse = client().admin() + .indices() + .preparePutTemplate("primary-shard-limit-template") + .setPatterns(Collections.singletonList("template-test*")) + .setSettings( + Settings.builder() + .put(remoteStoreIndexSettings(0, 4)) // 4 shards, 0 replicas + .put(INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.getKey(), 1) + ) + .get(); + + assertTrue("Template carrying total_primary_shards_per_node should be acknowledged", templateResponse.isAcknowledged()); + + // Auto-create the index by indexing a document so the template (not a create-request settings + // block) fully drives the index settings — including number_of_shards and the primary shard limit. + client().prepareIndex("template-test1").setId("1").setSource("field", "value").get(); + + // The setting (and the injected remote-store flag) must have flowed from the template onto the + // concrete index — this is the core of the bug: previously the template PUT was rejected with 400. + ClusterState createdState = client().admin().cluster().prepareState().get().getState(); + Settings indexSettings = createdState.metadata().index("template-test1").getSettings(); + assertEquals( + "Index created from template should carry 4 primary shards", + 4, + createdState.metadata().index("template-test1").getNumberOfShards() + ); + assertEquals( + "Index created from template should carry the primary shard limit", + Integer.valueOf(1), + INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.get(indexSettings) + ); + assertTrue( + "Index created from template on a remote-store cluster should be remote-store enabled", + IndexMetadata.INDEX_REMOTE_STORE_ENABLED_SETTING.get(indexSettings) + ); + + // And the limit must actually be enforced at allocation time: with 4 primaries, a limit of 1 + // per node and 3 data nodes, at least one primary stays unassigned and no node holds more than one. + assertBusy(() -> { + ClusterState state = client().admin().cluster().prepareState().get().getState(); + + int assignedShards = 0; + int unassignedShards = 0; + Map nodePrimaryCount = new HashMap<>(); + + for (IndexShardRoutingTable shardRouting : state.routingTable().index("template-test1")) { + for (ShardRouting shard : shardRouting) { + if (shard.assignedToNode()) { + assignedShards++; + nodePrimaryCount.merge(shard.currentNodeId(), 1, Integer::sum); + } else { + unassignedShards++; + } + } + } + + assertEquals("template-test1 should have 3 assigned primaries (one per data node)", 3, assignedShards); + assertEquals("template-test1 should have 1 unassigned primary (blocked by the per-node limit)", 1, unassignedShards); + for (Integer count : nodePrimaryCount.values()) { + assertTrue("No node should have more than 1 primary shard of template-test1", count <= 1); + } + }); + + client().admin().indices().prepareDeleteTemplate("primary-shard-limit-template").get(); + cleanUp("template-test1"); + } + public void testClusterPrimaryShardLimitss() throws Exception { // Update cluster setting to limit primary shards per node updateClusterSetting(CLUSTER_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.getKey(), 1); diff --git a/server/src/main/java/org/opensearch/cluster/metadata/MetadataIndexTemplateService.java b/server/src/main/java/org/opensearch/cluster/metadata/MetadataIndexTemplateService.java index d15c9d7c9ef4d..8ec6834bb8a15 100644 --- a/server/src/main/java/org/opensearch/cluster/metadata/MetadataIndexTemplateService.java +++ b/server/src/main/java/org/opensearch/cluster/metadata/MetadataIndexTemplateService.java @@ -98,9 +98,9 @@ import java.util.stream.Collectors; import static org.opensearch.cluster.metadata.MetadataCreateDataStreamService.validateTimestampFieldMapping; -import static org.opensearch.cluster.metadata.MetadataCreateIndexService.validateIndexTotalPrimaryShardsPerNodeSetting; import static org.opensearch.cluster.metadata.MetadataCreateIndexService.validateRefreshIntervalSettings; import static org.opensearch.cluster.metadata.MetadataCreateIndexService.validateTranslogFlushIntervalSettingsForCompositeIndex; +import static org.opensearch.cluster.metadata.MetadataUpdateSettingsService.validateIndexTotalPrimaryShardsPerNodeSetting; import static org.opensearch.cluster.service.ClusterManagerTask.CREATE_COMPONENT_TEMPLATE; import static org.opensearch.cluster.service.ClusterManagerTask.CREATE_INDEX_TEMPLATE; import static org.opensearch.cluster.service.ClusterManagerTask.CREATE_INDEX_TEMPLATE_V2; @@ -1670,8 +1670,9 @@ private void validate(String name, @Nullable Settings settings, List ind validateTranslogFlushIntervalSettingsForCompositeIndex(settings, clusterService.getClusterSettings()); validateTranslogDurabilitySettingsInTemplate(settings, clusterService.getClusterSettings()); - // validate index total primary shards per node setting - validateIndexTotalPrimaryShardsPerNodeSetting(settings); + // validate index total primary shards per node setting against the cluster (a template has no + // index-local remote_store flag, so use the cluster-aware overload like the _settings update path). + validateIndexTotalPrimaryShardsPerNodeSetting(settings, clusterService); } if (indexPatterns.stream().anyMatch(Regex::isMatchAllPattern)) { diff --git a/server/src/main/java/org/opensearch/cluster/metadata/MetadataUpdateSettingsService.java b/server/src/main/java/org/opensearch/cluster/metadata/MetadataUpdateSettingsService.java index e57a2635b8a68..d5c0e566eafd5 100644 --- a/server/src/main/java/org/opensearch/cluster/metadata/MetadataUpdateSettingsService.java +++ b/server/src/main/java/org/opensearch/cluster/metadata/MetadataUpdateSettingsService.java @@ -67,6 +67,7 @@ import java.io.IOException; import java.util.ArrayList; import java.util.Arrays; +import java.util.Collection; import java.util.HashSet; import java.util.List; import java.util.Locale; @@ -573,13 +574,11 @@ public static void validateIndexTotalPrimaryShardsPerNodeSetting(Settings indexS return; } - // Check if remote store is enabled - boolean isRemoteStoreEnabled = clusterService.state() - .nodes() - .getNodes() - .values() - .stream() - .allMatch(DiscoveryNode::isRemoteStoreNode); + // Remote store is enabled only when there is at least one node and every node is a + // remote-store node (allMatch is vacuously true on an empty node set, which must not + // count as remote-store enabled). + Collection nodes = clusterService.state().nodes().getNodes().values(); + boolean isRemoteStoreEnabled = !nodes.isEmpty() && nodes.stream().allMatch(DiscoveryNode::isRemoteStoreNode); if (!isRemoteStoreEnabled) { throw new IllegalArgumentException( "Setting [" diff --git a/server/src/test/java/org/opensearch/cluster/metadata/MetadataIndexTemplateServiceRemoteStoreTests.java b/server/src/test/java/org/opensearch/cluster/metadata/MetadataIndexTemplateServiceRemoteStoreTests.java new file mode 100644 index 0000000000000..fbb88f5c4e929 --- /dev/null +++ b/server/src/test/java/org/opensearch/cluster/metadata/MetadataIndexTemplateServiceRemoteStoreTests.java @@ -0,0 +1,173 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.cluster.metadata; + +import org.opensearch.cluster.ClusterName; +import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.metadata.MetadataIndexTemplateService.PutRequest; +import org.opensearch.cluster.node.DiscoveryNodes; +import org.opensearch.cluster.routing.allocation.AwarenessReplicaBalance; +import org.opensearch.cluster.service.ClusterService; +import org.opensearch.common.settings.ClusterSettings; +import org.opensearch.common.settings.IndexScopedSettings; +import org.opensearch.common.settings.Settings; +import org.opensearch.core.xcontent.NamedXContentRegistry; +import org.opensearch.env.Environment; +import org.opensearch.index.shard.IndexShardTestUtils; +import org.opensearch.indices.DefaultRemoteStoreSettings; +import org.opensearch.indices.IndicesService; +import org.opensearch.indices.SystemIndices; +import org.opensearch.indices.replication.common.ReplicationType; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.List; + +import static java.util.Collections.singletonList; +import static org.opensearch.cluster.metadata.IndexMetadata.INDEX_REPLICATION_TYPE_SETTING; +import static org.opensearch.cluster.routing.allocation.decider.ShardsLimitAllocationDecider.INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING; +import static org.opensearch.common.settings.Settings.builder; +import static org.opensearch.env.Environment.PATH_HOME_SETTING; +import static org.opensearch.indices.ShardLimitValidatorTests.createTestShardLimitService; +import static org.hamcrest.Matchers.containsString; +import static org.hamcrest.Matchers.empty; +import static org.hamcrest.Matchers.instanceOf; +import static org.hamcrest.Matchers.not; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +/** + * Tests that index-template validation of {@code index.routing.allocation.total_primary_shards_per_node} + * uses the cluster/node-aware precondition (is this a remote-store cluster?) rather than the index-local + * {@code index.remote_store.enabled} flag a template can never carry. + * + *

Kept in its own class (rather than {@link MetadataIndexTemplateServiceTests}) because these cases are + * fully mock-driven and do not need the shared single-node fixture; isolating them also avoids perturbing + * the randomized method ordering of that (state-sharing) suite. + */ +public class MetadataIndexTemplateServiceRemoteStoreTests extends OpenSearchTestCase { + + public void testTotalPrimaryShardsTemplateValidatesOnRemoteStoreCluster() { + // Every node is a remote-store node → the template must validate successfully. + PutRequest request = new PutRequest("test", "test_index_primary_shard_constraint_remote"); + request.patterns(singletonList("test_shards_wait*")); + request.settings( + builder().put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, "1") + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, "1") + .put(INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.getKey(), 2) + .put(INDEX_REPLICATION_TYPE_SETTING.getKey(), ReplicationType.SEGMENT.toString()) + .build() + ); + + DiscoveryNodes remoteNodes = DiscoveryNodes.builder() + .add(IndexShardTestUtils.getFakeRemoteEnabledNode("node1")) + .add(IndexShardTestUtils.getFakeRemoteEnabledNode("node2")) + .build(); + + List throwables = putTemplate(xContentRegistry(), request, remoteNodes); + assertThat(throwables, empty()); + } + + public void testTotalPrimaryShardsTemplateRejectedOnEmptyNodeCluster() { + // No nodes → not a remote-store cluster (allMatch is vacuously true on an empty set, so the + // !nodes.isEmpty() guard must reject). Covers the empty-node branch of the hardened check. + PutRequest request = new PutRequest("test", "test_index_primary_shard_constraint_empty"); + request.patterns(singletonList("test_shards_wait*")); + request.settings( + builder().put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, "1") + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, "1") + .put(INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.getKey(), 2) + .put(INDEX_REPLICATION_TYPE_SETTING.getKey(), ReplicationType.SEGMENT.toString()) + .build() + ); + + List throwables = putTemplate(xContentRegistry(), request, DiscoveryNodes.EMPTY_NODES); + assertThat(throwables, not(empty())); + assertThat(throwables.get(0), instanceOf(IllegalArgumentException.class)); + assertThat(throwables.get(0).getMessage(), containsString("can only be used with remote store enabled clusters")); + } + + public void testTotalPrimaryShardsTemplateRejectedWhenSomeNodeIsNotRemoteStore() { + // Mixed cluster (one non-remote node) → not every node is a remote-store node, so the + // setting must be rejected. Covers the allMatch==false branch of the hardened check. + PutRequest request = new PutRequest("test", "test_index_primary_shard_constraint_mixed"); + request.patterns(singletonList("test_shards_wait*")); + request.settings( + builder().put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, "1") + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, "1") + .put(INDEX_TOTAL_PRIMARY_SHARDS_PER_NODE_SETTING.getKey(), 2) + .put(INDEX_REPLICATION_TYPE_SETTING.getKey(), ReplicationType.SEGMENT.toString()) + .build() + ); + + DiscoveryNodes mixedNodes = DiscoveryNodes.builder() + .add(IndexShardTestUtils.getFakeRemoteEnabledNode("remote1")) + .add(IndexShardTestUtils.getFakeDiscoNode("plain1")) + .build(); + + List throwables = putTemplate(xContentRegistry(), request, mixedNodes); + assertThat(throwables, not(empty())); + assertThat(throwables.get(0), instanceOf(IllegalArgumentException.class)); + assertThat(throwables.get(0).getMessage(), containsString("can only be used with remote store enabled clusters")); + } + + private static List putTemplate(NamedXContentRegistry xContentRegistry, PutRequest request, DiscoveryNodes discoveryNodes) { + ClusterService clusterService = mock(ClusterService.class); + Settings settings = Settings.builder().put(PATH_HOME_SETTING.getKey(), "dummy").build(); + ClusterSettings clusterSettings = new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + Metadata metadata = Metadata.builder().build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .nodes(discoveryNodes) + .build(); + when(clusterService.state()).thenReturn(clusterState); + when(clusterService.getSettings()).thenReturn(settings); + when(clusterService.getClusterSettings()).thenReturn(clusterSettings); + IndicesService indicesServices = mock(IndicesService.class); + MetadataCreateIndexService createIndexService = new MetadataCreateIndexService( + Settings.EMPTY, + clusterService, + indicesServices, + null, + null, + createTestShardLimitService(randomIntBetween(1, 1000), false), + new Environment(builder().put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toString()).build(), null), + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + null, + xContentRegistry, + new SystemIndices(Collections.emptyMap()), + true, + new AwarenessReplicaBalance(Settings.EMPTY, clusterService.getClusterSettings()), + DefaultRemoteStoreSettings.INSTANCE, + null + ); + MetadataIndexTemplateService service = new MetadataIndexTemplateService( + clusterService, + createIndexService, + new AliasValidator(), + null, + new IndexScopedSettings(Settings.EMPTY, IndexScopedSettings.BUILT_IN_INDEX_SETTINGS), + xContentRegistry, + null + ); + + final List throwables = new ArrayList<>(); + service.putTemplate(request, new MetadataIndexTemplateService.PutListener() { + @Override + public void onResponse(MetadataIndexTemplateService.PutResponse response) {} + + @Override + public void onFailure(Exception e) { + throwables.add(e); + } + }); + return throwables; + } +} From e2cdd7d2a689678bae9fe79b2b4ca1aa111c11a1 Mon Sep 17 00:00:00 2001 From: Craig Perkins Date: Thu, 18 Jun 2026 16:59:45 -0400 Subject: [PATCH 04/94] Add process-wide ObjectInputFilter to reject Java deserialization by default (#22073) * Extend forbidden api for java serialization from build-time only to also enforce at runtime Signed-off-by: Craig Perkins Co-authored-by: Sandesh Kumar --- .../org/opensearch/bootstrap/Bootstrap.java | 26 +++ .../bootstrap/BootstrapSettings.java | 2 + .../common/settings/ClusterSettings.java | 1 + .../bootstrap/BootstrapSerialFilterTests.java | 152 ++++++++++++++++++ 4 files changed, 181 insertions(+) create mode 100644 server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java diff --git a/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java b/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java index 70e365025fe07..6c0190ef55fc8 100644 --- a/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java +++ b/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java @@ -70,6 +70,7 @@ import java.io.IOException; import java.io.InputStream; import java.io.InputStreamReader; +import java.io.ObjectInputFilter; import java.io.PrintStream; import java.io.UnsupportedEncodingException; import java.net.URISyntaxException; @@ -116,6 +117,27 @@ public void run() { }); } + /** + * Installs a process-wide serial filter that rejects all Java deserialization by default. + * Plugins that legitimately require Java serialization (e.g., security plugin's user attribute caching) + * can opt in by calling {@code ObjectInputStream.setObjectInputFilter()} on their specific stream, + * which overrides the JVM-wide filter for that stream. + *

+ * Gated behind the {@code bootstrap.serial_filter} setting (disabled by default). + */ + static void initializeSerialFilter() { + try { + ObjectInputFilter.Config.setSerialFilter(REJECT_ALL_FILTER); + } catch (IllegalStateException e) { + // Filter already set (e.g., via -Djdk.serialFilter system property or in tests) + LogManager.getLogger(Bootstrap.class).debug("Serial filter already initialized", e); + } + } + + static final ObjectInputFilter REJECT_ALL_FILTER = filterInfo -> filterInfo.serialClass() == null + ? ObjectInputFilter.Status.UNDECIDED + : ObjectInputFilter.Status.REJECTED; + /** initialize native resources */ public static void initializeNatives(Path tmpFile, boolean mlockAll, boolean systemCallFilter, boolean ctrlHandler) { final Logger logger = LogManager.getLogger(Bootstrap.class); @@ -183,6 +205,10 @@ static void initializeProbes() { private void setup(boolean addShutdownHook, Environment environment) throws BootstrapException { Settings settings = environment.settings(); + if (BootstrapSettings.SERIAL_FILTER_SETTING.get(settings)) { + initializeSerialFilter(); + } + try { spawner.spawnNativeControllers(environment, true); } catch (IOException e) { diff --git a/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java b/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java index 911bc92c433f1..665bcf87362de 100644 --- a/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java +++ b/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java @@ -59,4 +59,6 @@ private BootstrapSettings() {} ); public static final Setting CTRLHANDLER_SETTING = Setting.boolSetting("bootstrap.ctrlhandler", true, Property.NodeScope); + public static final Setting SERIAL_FILTER_SETTING = Setting.boolSetting("bootstrap.serial_filter", false, Property.NodeScope); + } diff --git a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java index 6f8547c1eecdb..28b25c5e8a253 100644 --- a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java +++ b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java @@ -643,6 +643,7 @@ public void apply(Settings value, Settings current, Settings previous) { BootstrapSettings.MEMORY_LOCK_SETTING, BootstrapSettings.SYSTEM_CALL_FILTER_SETTING, BootstrapSettings.CTRLHANDLER_SETTING, + BootstrapSettings.SERIAL_FILTER_SETTING, KeyStoreWrapper.SEED_SETTING, IndexingMemoryController.INDEX_BUFFER_SIZE_SETTING, IndexingMemoryController.MIN_INDEX_BUFFER_SIZE_SETTING, diff --git a/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java b/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java new file mode 100644 index 0000000000000..80c69336eeb68 --- /dev/null +++ b/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java @@ -0,0 +1,152 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.bootstrap; + +import org.opensearch.common.SuppressForbidden; +import org.opensearch.test.OpenSearchTestCase; + +import java.io.ByteArrayInputStream; +import java.io.ByteArrayOutputStream; +import java.io.InvalidClassException; +import java.io.ObjectInputFilter; +import java.io.ObjectInputStream; +import java.io.ObjectOutputStream; +import java.util.ArrayList; +import java.util.List; + +/** + * Tests for the process-wide deserialization filter installed by {@link Bootstrap#initializeSerialFilter()}. + *

+ * The filter rejects all Java deserialization by default. Plugins that need deserialization + * (e.g., security plugin) opt in by calling {@code setObjectInputFilter()} on their stream, + * which overrides the JVM-wide filter for that stream. + *

+ * Note: String/primitive types use special serialization type codes (TC_STRING) that bypass + * ObjectInputFilter checks. These tests use ArrayList to exercise the filter on real object types. + */ +@SuppressForbidden(reason = "testing the runtime serialization filter that protects against java deserialization") +public class BootstrapSerialFilterTests extends OpenSearchTestCase { + + private static final boolean FILTER_INSTALLED; + + static { + // Install the JVM-wide filter. This can only be set once per JVM — if another test + // or the framework already set it, the end-to-end tests are skipped. + boolean installed = false; + try { + ObjectInputFilter.Config.setSerialFilter(Bootstrap.REJECT_ALL_FILTER); + installed = true; + } catch (IllegalStateException e) { + // Already set + } + FILTER_INSTALLED = installed; + } + + // --- Unit tests for the filter logic (always run) --- + + public void testRejectAllFilterRejectsClasses() { + assertEquals(ObjectInputFilter.Status.REJECTED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(String.class))); + } + + public void testRejectAllFilterRejectsAnyClass() { + assertEquals(ObjectInputFilter.Status.REJECTED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(Runtime.class))); + } + + public void testRejectAllFilterUndecidedForNullClass() { + // null serialClass = stream metadata check (depth, bytes, refs), not a class resolution + assertEquals(ObjectInputFilter.Status.UNDECIDED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(null))); + } + + // --- End-to-end tests showing actual runtime behavior --- + + /** + * When a plugin uses ObjectInputStream without setting its own filter, + * deserialization fails with InvalidClassException at runtime. + * This is the protection against unexpected deserialization in plugins/dependencies. + */ + public void testDeserializationRejectedWithoutExplicitFilter() throws Exception { + assumeTrue("JVM-wide serial filter not installed in this JVM", FILTER_INSTALLED); + + byte[] serialized = serialize(new ArrayList<>(List.of("a", "b"))); + try (ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(serialized))) { + InvalidClassException e = expectThrows(InvalidClassException.class, ois::readObject); + assertTrue(e.getMessage().contains("REJECTED")); + } + } + + /** + * When a plugin explicitly sets its own filter (like security plugin's SafeObjectInputStream), + * the stream-level filter overrides the JVM-wide reject-all, and deserialization succeeds. + */ + public void testDeserializationAllowedWithExplicitFilter() throws Exception { + assumeTrue("JVM-wide serial filter not installed in this JVM", FILTER_INSTALLED); + + byte[] serialized = serialize(new ArrayList<>(List.of("a", "b"))); + try (ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(serialized))) { + // This is what security plugin does — sets a filter on the stream + ois.setObjectInputFilter(ObjectInputFilter.Config.createFilter("maxdepth=10")); + Object result = ois.readObject(); + assertEquals(List.of("a", "b"), result); + } + } + + /** + * Proves the stream-level filter is actually enforced — not just bypassing all checks. + * A maxdepth=2 filter allows a shallow ArrayList but rejects a deeply nested structure. + */ + public void testStreamFilterDepthConstraintIsEnforced() throws Exception { + assumeTrue("JVM-wide serial filter not installed in this JVM", FILTER_INSTALLED); + + // Create a deeply nested object: ArrayList -> ArrayList -> ArrayList (depth=3) + ArrayList deep = new ArrayList<>(); + deep.add(new ArrayList<>(List.of(new ArrayList<>(List.of("nested"))))); + + byte[] serialized = serialize(deep); + try (ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(serialized))) { + // maxdepth=2 should reject the depth=3 structure + ois.setObjectInputFilter(ObjectInputFilter.Config.createFilter("maxdepth=2")); + InvalidClassException e = expectThrows(InvalidClassException.class, ois::readObject); + assertTrue(e.getMessage().contains("REJECTED")); + } + } + + // --- Helpers --- + + private static ObjectInputFilter.FilterInfo filterInfo(Class clazz) { + return new ObjectInputFilter.FilterInfo() { + public Class serialClass() { + return clazz; + } + + public long arrayLength() { + return -1; + } + + public long depth() { + return 1; + } + + public long references() { + return 1; + } + + public long streamBytes() { + return 0; + } + }; + } + + private static byte[] serialize(Object obj) throws Exception { + ByteArrayOutputStream baos = new ByteArrayOutputStream(); + try (ObjectOutputStream oos = new ObjectOutputStream(baos)) { + oos.writeObject(obj); + } + return baos.toByteArray(); + } +} From c5623b162d2e3ef9f8e285b7c31c69086e731b08 Mon Sep 17 00:00:00 2001 From: bowenlan Date: Thu, 18 Jun 2026 14:30:09 -0700 Subject: [PATCH 05/94] [sandbox] Fix AnalyticsQueryTask onCancel callback race (#22231) The framework registers AnalyticsQueryTask before doExecute forks to the search executor and installs the cancellation callback via QueryScheduler.setCancellationCallback. A cancel arriving in that window (server-side timeout, HTTP disconnect from RestCancellableNodeClient, parent-task cascade) fires onCancelled() with no callback installed and silently no-ops; the task is marked cancelled but the analytics query runs to completion. Re-check isCancelled() after the callback is installed and run it inline when a cancel was already observed. Switch consumption to getAndSet(null) so the install-side and onCancelled() paths cannot both fire it. Mirrors AnalyticsShardTask.setCancellationListener, which already has this guard. Signed-off-by: bowenlan-amzn --- .../exec/task/AnalyticsQueryTask.java | 10 ++- ...icsQueryTaskCancellationCallbackTests.java | 64 +++++++++++++++++++ 2 files changed, 73 insertions(+), 1 deletion(-) create mode 100644 sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/task/AnalyticsQueryTaskCancellationCallbackTests.java diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/task/AnalyticsQueryTask.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/task/AnalyticsQueryTask.java index 69e7fce250164..13ff8606b438b 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/task/AnalyticsQueryTask.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/task/AnalyticsQueryTask.java @@ -81,11 +81,19 @@ public void setOnCancelCallback(Runnable callback) { if (onCancelCallback.compareAndSet(null, callback) == false) { throw new IllegalStateException("onCancelCallback already set for AnalyticsQueryTask " + queryId); } + // Cancel may have arrived before this install — fire inline if so. Mirrors AnalyticsShardTask.setCancellationListener. + if (isCancelled()) { + runCallbackOnce(); + } } @Override protected void onCancelled() { - Runnable cb = onCancelCallback.get(); + runCallbackOnce(); + } + + private void runCallbackOnce() { + Runnable cb = onCancelCallback.getAndSet(null); if (cb != null) { try { cb.run(); diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/task/AnalyticsQueryTaskCancellationCallbackTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/task/AnalyticsQueryTaskCancellationCallbackTests.java new file mode 100644 index 0000000000000..9061f84326474 --- /dev/null +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/task/AnalyticsQueryTaskCancellationCallbackTests.java @@ -0,0 +1,64 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.exec.task; + +import org.opensearch.core.tasks.TaskId; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.Collections; +import java.util.concurrent.atomic.AtomicInteger; + +public class AnalyticsQueryTaskCancellationCallbackTests extends OpenSearchTestCase { + + private AnalyticsQueryTask createTask() { + return new AnalyticsQueryTask(1L, "type", "action", "queryId", TaskId.EMPTY_TASK_ID, Collections.emptyMap()); + } + + public void testCallbackFiresOnCancellation() { + AnalyticsQueryTask task = createTask(); + AtomicInteger callCount = new AtomicInteger(); + task.setOnCancelCallback(callCount::incrementAndGet); + + task.cancel("test reason"); + + assertEquals(1, callCount.get()); + } + + public void testCallbackFiresImmediatelyIfAlreadyCancelled() { + AnalyticsQueryTask task = createTask(); + task.cancel("cancel before install"); + + AtomicInteger callCount = new AtomicInteger(); + task.setOnCancelCallback(callCount::incrementAndGet); + + assertEquals("callback must fire when installed after cancel", 1, callCount.get()); + } + + public void testCallbackFiresExactlyOnce() { + AnalyticsQueryTask task = createTask(); + AtomicInteger callCount = new AtomicInteger(); + task.setOnCancelCallback(callCount::incrementAndGet); + + task.cancel("first"); + task.cancel("second"); + + assertEquals(1, callCount.get()); + } + + public void testNullCallbackDoesNotThrowOnCancellation() { + AnalyticsQueryTask task = createTask(); + task.cancel("no callback installed"); + } + + public void testSecondSetThrows() { + AnalyticsQueryTask task = createTask(); + task.setOnCancelCallback(() -> {}); + expectThrows(IllegalStateException.class, () -> task.setOnCancelCallback(() -> {})); + } +} From 128652a16011acc84d68eced19c4895d15794e5c Mon Sep 17 00:00:00 2001 From: Bukhtawar Khan Date: Fri, 19 Jun 2026 12:05:26 +0530 Subject: [PATCH 06/94] Wait for reduce teardown before closing Arrow allocator on cancel (#22234) When a coordinator query is cancelled while the reduce drain is in flight, the cancel thread closes the Arrow allocator before the reduce thread has released its in-flight batches, causing a spurious "Memory was leaked" IllegalStateException. Add a CountDownLatch to DatafusionReduceSink that fires when reduce's finally block completes teardown. When closeImpl() observes state=REDUCING (cancel during active drain), it fires cancelQuery then awaits the latch (up to 5s) so the reduce thread can release Arrow batches before the allocator closes. Signed-off-by: Bukhtawar Khan --- .../be/datafusion/DatafusionReduceSink.java | 19 +++++++++++++++++-- .../analytics/exec/QueryExecution.java | 1 - 2 files changed, 17 insertions(+), 3 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReduceSink.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReduceSink.java index 1ee4c1bd9f0dd..6ece9d4f20a7f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReduceSink.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReduceSink.java @@ -81,6 +81,10 @@ enum SinkState { /** Guards the teardown body so concurrent + sequential close paths don't run it twice. */ final java.util.concurrent.atomic.AtomicBoolean torndown = new java.util.concurrent.atomic.AtomicBoolean(); + /** Signalled when reduce's finally completes teardown. closeImpl awaits this + * when cancelled during REDUCING state so the allocator isn't closed prematurely. */ + private final java.util.concurrent.CountDownLatch reduceDone = new java.util.concurrent.CountDownLatch(1); + public DatafusionReduceSink(ExchangeSinkContext ctx, NativeRuntimeHandle runtimeHandle) { this(ctx, runtimeHandle, null); } @@ -359,9 +363,17 @@ protected void feedBatchUnderLock(VectorSchemaRoot batch) { protected Exception closeImpl() { SinkState before = state.compareAndExchange(SinkState.READY, SinkState.DONE); if (before == SinkState.REDUCING) { - // Drain parked — dropping senders/outStream now would panic in drop_in_place. + // Drain in flight — fire cancel so it unblocks, then wait for reduce's + // finally to complete teardown (releases Arrow batches from the allocator). fireCancelQuery(); - return null; // reduce()'s finally calls closeImpl directly to tear down. + try { + if (!reduceDone.await(5, java.util.concurrent.TimeUnit.SECONDS)) { + logger.warn("[reduce-sink] timed out waiting for reduce teardown: taskId={}", ctx.taskId()); + } + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + return null; } // before == READY (we just won) or DONE (reduce's finally calling us, or duplicate close). if (torndown.compareAndSet(false, true) == false) { @@ -419,6 +431,9 @@ public void reduce(ActionListener listener) { } catch (Exception t) { failure = accumulate(failure, t); } + // Signal that teardown is complete — unblocks any concurrent closeImpl() + // waiting on REDUCING state (cancel path) so the allocator can close safely. + reduceDone.countDown(); } if (failure == null) { listener.onResponse(null); diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java index ab0c8bdee7841..279abf81ea705 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java @@ -123,7 +123,6 @@ public ExecutionGraph getGraph() { public void close() { if (closed.compareAndSet(false, true) == false) return; runQuietly("terminal sink close", this::closeTerminalSink); - // TODO: Re-evaluate this per query child allocator logAllocatorState(); runQuietly("query context close", config::close); } From ae22a78b406f73c3b1d8adea540883357892137f Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Fri, 19 Jun 2026 22:37:14 +0530 Subject: [PATCH 07/94] Add composite-engine stats + parquet ingest rejection/pool metrics (#22134) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan --- .../org/opensearch/composite/BaseStatsIT.java | 8 + .../composite/CompositeStatsEndpointIT.java | 116 ++++++++++++ .../opensearch/composite/StatsITHelpers.java | 11 ++ .../composite/CompositeDataFormat.java | 5 +- .../composite/CompositeDataFormatPlugin.java | 42 ++++- .../CompositeIndexingExecutionEngine.java | 53 +++++- .../opensearch/composite/CompositeWriter.java | 9 + .../composite/merge/CompositeMerger.java | 13 +- .../composite/stats/CompositeShardStats.java | 167 ++++++++++++++++++ .../stats/CompositeShardStatsTracker.java | 118 +++++++++++++ .../stats/CompositeStatsProvider.java | 100 +++++++++++ .../composite/stats/package-info.java | 14 ++ .../CompositeNodeStatsActionType.java | 30 ++++ .../CompositeNodeStatsRestAction.java | 34 ++++ .../CompositeNodeStatsTransportAction.java | 46 +++++ .../transport/CompositeStatsActionType.java | 30 ++++ .../transport/CompositeStatsRestAction.java | 34 ++++ .../CompositeStatsTransportAction.java | 49 +++++ .../stats/transport/package-info.java | 22 +++ .../composite/merge/CompositeMergerTests.java | 5 + .../stats/CompositeShardStatsTests.java | 112 ++++++++++++ .../parquet/ParquetDataFormatPlugin.java | 9 +- .../parquet/stats/ParquetIngestPoolStats.java | 92 ++++++++++ .../parquet/stats/ParquetShardStats.java | 41 ++++- .../stats/ParquetShardStatsTracker.java | 7 + .../parquet/stats/ParquetStatsProvider.java | 48 +++-- .../opensearch/parquet/vsr/VSRManager.java | 9 +- .../stats/ParquetIngestPoolStatsTests.java | 83 +++++++++ 28 files changed, 1281 insertions(+), 26 deletions(-) create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeStatsEndpointIT.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStats.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStatsTracker.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeStatsProvider.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/package-info.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsActionType.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsRestAction.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsTransportAction.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsActionType.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsRestAction.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsTransportAction.java create mode 100644 sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/package-info.java create mode 100644 sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/stats/CompositeShardStatsTests.java create mode 100644 sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetIngestPoolStats.java create mode 100644 sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/stats/ParquetIngestPoolStatsTests.java diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/BaseStatsIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/BaseStatsIT.java index e64450a22599f..a83b02e9f4055 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/BaseStatsIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/BaseStatsIT.java @@ -35,6 +35,14 @@ protected Map luceneIndexStats(String index, String... queryPara return StatsITHelpers.luceneIndexStats(getRestClient(), index, queryParams); } + protected Map compositeIndexStats(String index, String... queryParams) throws IOException { + return StatsITHelpers.compositeIndexStats(getRestClient(), index, queryParams); + } + + protected Map compositeNodeStats(String nodeIdOrEmpty, String... queryParams) throws IOException { + return StatsITHelpers.compositeNodeStats(getRestClient(), nodeIdOrEmpty, queryParams); + } + protected Map parquetNodeStats(String nodeIdOrEmpty, String... queryParams) throws IOException { return StatsITHelpers.parquetNodeStats(getRestClient(), nodeIdOrEmpty, queryParams); } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeStatsEndpointIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeStatsEndpointIT.java new file mode 100644 index 0000000000000..5916365c9289a --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeStatsEndpointIT.java @@ -0,0 +1,116 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import org.opensearch.test.OpenSearchIntegTestCase.ClusterScope; +import org.opensearch.test.OpenSearchIntegTestCase.Scope; + +import java.util.Map; + +/** + * Integration tests for the composite-engine per-format stats endpoint + * ({@code /_plugins/composite/...}) and the parquet {@code native_write_rejections} counter. + * + * @opensearch.experimental + */ +@ClusterScope(scope = Scope.SUITE, numDataNodes = 1) +public class CompositeStatsEndpointIT extends BaseStatsIT { + + /** Fresh composite index: endpoint responds and all counters are zero. */ + public void testCompositeStatsZeroOnFreshIndex() throws Exception { + String idx = "composite-zero-idx"; + createCompositeIndex(idx, true); + + Map c = compositeIndexStats(idx); + assertCounter("fresh refresh_total", c, "indices." + idx + ".refresh.refresh_total", 0L); + assertCounter("fresh refresh_merge_total", c, "indices." + idx + ".refresh.refresh_merge_total", 0L); + assertCounter("fresh refresh_merge_failures", c, "indices." + idx + ".refresh.refresh_merge_failures", 0L); + assertCounter("fresh merge_total", c, "indices." + idx + ".merge.merge_total", 0L); + assertCounter("fresh merge_failures", c, "indices." + idx + ".merge.merge_failures", 0L); + assertCounter("fresh write_total", c, "indices." + idx + ".write.write_total", 0L); + assertCounter("fresh write_primary_failures", c, "indices." + idx + ".write.write_primary_failures", 0L); + assertCounter("fresh write_secondary_failures", c, "indices." + idx + ".write.write_secondary_failures", 0L); + assertCounter("fresh mapping_update_executed_total", c, "indices." + idx + ".mapping.mapping_update_executed_total", 0L); + } + + /** After indexing + refresh, composite refresh counters increment and failures stay zero. */ + public void testCompositeRefreshAndMergeCountersIncrement() throws Exception { + String idx = "composite-refresh-idx"; + createCompositeIndex(idx, true); + indexDocs(idx, 100, 0); + refreshIndex(idx); + + Map c = compositeIndexStats(idx); + assertCounterAtLeast("refresh_total", c, "indices." + idx + ".refresh.refresh_total", 1L); + assertCounterAtLeast("refresh_time_millis", c, "indices." + idx + ".refresh.refresh_time_millis", 0L); + // write_total counts every indexed doc attempt; 100 docs were indexed. + assertCounterAtLeast("write_total", c, "indices." + idx + ".write.write_total", 100L); + // Happy path: no write or merge failures. + assertCounter("write_primary_failures", c, "indices." + idx + ".write.write_primary_failures", 0L); + assertCounter("write_secondary_failures", c, "indices." + idx + ".write.write_secondary_failures", 0L); + assertCounter("merge_failures", c, "indices." + idx + ".merge.merge_failures", 0L); + assertCounter("refresh_merge_failures", c, "indices." + idx + ".refresh.refresh_merge_failures", 0L); + + // refresh_merge_total is the merge-on-refresh subset of merge_total — it must never exceed it. + long refreshMerge = StatsITHelpers.getCounter(c, "indices." + idx + ".refresh.refresh_merge_total"); + long mergeTotal = StatsITHelpers.getCounter(c, "indices." + idx + ".merge.merge_total"); + assertTrue( + "refresh_merge_total (" + refreshMerge + ") must not exceed merge_total (" + mergeTotal + ")", + refreshMerge <= mergeTotal + ); + } + + /** The composite per-node endpoint aggregates and responds after indexing. */ + public void testCompositeNodeStatsEndpoint() throws Exception { + String idx = "composite-node-idx"; + createCompositeIndex(idx, true); + indexDocs(idx, 50, 0); + refreshIndex(idx); + + Map n = compositeNodeStats(""); + // A successful per-node response carries a "nodes" object (one entry per responding node). + assertTrue("per-node response must contain a 'nodes' object", n.get("nodes") instanceof Map); + assertFalse("per-node response 'nodes' object must not be empty", ((Map) n.get("nodes")).isEmpty()); + } + + /** Parquet native_write_rejections is wired and reads zero on the happy path. */ + public void testParquetNativeWriteRejectionsZeroOnHappyPath() throws Exception { + String idx = "parquet-rejection-idx"; + createCompositeIndex(idx, true); + indexDocs(idx, 100, 0); + refreshIndex(idx); + + Map p = parquetIndexStats(idx); + assertCounter("native_write_rejections zero", p, "indices." + idx + ".native_write.native_write_rejections", 0L); + } + + /** The parquet per-node endpoint exposes the live native_ingest_pool block (queue/active/rejected). */ + public void testParquetNodeStatsExposesIngestPool() throws Exception { + String idx = "parquet-ingest-pool-idx"; + createCompositeIndex(idx, true); + indexDocs(idx, 50, 0); + refreshIndex(idx); + + Map n = parquetNodeStats(""); + // Each responding node must carry a native_ingest_pool block with the pool fields. + Map nodes = (Map) n.get("nodes"); + assertNotNull("per-node response must contain 'nodes'", nodes); + assertFalse("'nodes' must not be empty", nodes.isEmpty()); + boolean sawPool = false; + for (Object node : nodes.values()) { + Object pool = ((Map) node).get("native_ingest_pool"); + if (pool instanceof Map) { + assertTrue("native_ingest_pool must report queue_depth", ((Map) pool).containsKey("queue_depth")); + assertTrue("native_ingest_pool must report rejected", ((Map) pool).containsKey("rejected")); + sawPool = true; + } + } + assertTrue("at least one node must expose native_ingest_pool", sawPool); + } +} diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsITHelpers.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsITHelpers.java index a7146c1c90da5..b29af138a5e78 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsITHelpers.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsITHelpers.java @@ -41,6 +41,17 @@ static Map luceneIndexStats(RestClient rest, String index, Strin return fetchStats(rest, "/_plugins/lucene/" + index + "/_stats", queryParams); } + static Map compositeIndexStats(RestClient rest, String index, String... queryParams) throws IOException { + return fetchStats(rest, "/_plugins/composite/" + index + "/_stats", queryParams); + } + + static Map compositeNodeStats(RestClient rest, String nodeIdOrEmpty, String... queryParams) throws IOException { + String path = nodeIdOrEmpty.isEmpty() + ? "/_plugins/composite/_nodes/_stats" + : "/_plugins/composite/_nodes/" + nodeIdOrEmpty + "/_stats"; + return fetchStats(rest, path, queryParams); + } + static Map parquetNodeStats(RestClient rest, String nodeIdOrEmpty, String... queryParams) throws IOException { String path = nodeIdOrEmpty.isEmpty() ? "/_plugins/parquet/_nodes/_stats" : "/_plugins/parquet/_nodes/" + nodeIdOrEmpty + "/_stats"; return fetchStats(rest, path, queryParams); diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormat.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormat.java index b474121550ef7..9b47cf58090c4 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormat.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormat.java @@ -26,6 +26,9 @@ @ExperimentalApi public class CompositeDataFormat extends DataFormat { + /** Canonical format name for the composite engine. */ + public static final String COMPOSITE_FORMAT_NAME = "composite"; + private final DataFormat primaryDataFormat; private final List dataFormats; @@ -68,7 +71,7 @@ public DataFormat getPrimaryDataFormat() { @Override public String name() { - return "composite"; + return COMPOSITE_FORMAT_NAME; } @Override diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormatPlugin.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormatPlugin.java index 19a38dcdaa454..d339da4abad8a 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormatPlugin.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeDataFormatPlugin.java @@ -10,13 +10,25 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.opensearch.action.ActionRequest; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; +import org.opensearch.cluster.node.DiscoveryNodes; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.ValidationException; import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.common.settings.ClusterSettings; +import org.opensearch.common.settings.IndexScopedSettings; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; +import org.opensearch.common.settings.SettingsFilter; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.composite.stats.transport.CompositeNodeStatsActionType; +import org.opensearch.composite.stats.transport.CompositeNodeStatsRestAction; +import org.opensearch.composite.stats.transport.CompositeNodeStatsTransportAction; +import org.opensearch.composite.stats.transport.CompositeStatsActionType; +import org.opensearch.composite.stats.transport.CompositeStatsRestAction; +import org.opensearch.composite.stats.transport.CompositeStatsTransportAction; +import org.opensearch.core.action.ActionResponse; import org.opensearch.core.common.io.stream.NamedWriteableRegistry; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; @@ -39,10 +51,13 @@ import org.opensearch.indices.IndexCreationException; import org.opensearch.indices.IndicesService; import org.opensearch.plugin.stats.DataFormatStatsProviderRegistry; +import org.opensearch.plugins.ActionPlugin; import org.opensearch.plugins.ExtensiblePlugin; import org.opensearch.plugins.MapperPlugin; import org.opensearch.plugins.Plugin; import org.opensearch.repositories.RepositoriesService; +import org.opensearch.rest.RestController; +import org.opensearch.rest.RestHandler; import org.opensearch.script.ScriptService; import org.opensearch.threadpool.ThreadPool; import org.opensearch.transport.client.Client; @@ -96,7 +111,7 @@ * @opensearch.experimental */ @ExperimentalApi -public class CompositeDataFormatPlugin extends Plugin implements DataFormatPlugin, ExtensiblePlugin, MapperPlugin { +public class CompositeDataFormatPlugin extends Plugin implements DataFormatPlugin, ExtensiblePlugin, MapperPlugin, ActionPlugin { private static final Logger logger = LogManager.getLogger(CompositeDataFormatPlugin.class); @@ -214,9 +229,34 @@ public Collection createComponents( Supplier repositoriesServiceSupplier ) { this.clusterService = clusterService; + // Eagerly construct the provider so the registry is populated before the engine and + // transport-action layers attempt lookups. The engine self-registers its per-shard + // tracker via CompositeStatsProvider.getInstance() on construction. + new CompositeStatsProvider(); return Collections.emptyList(); } + @Override + public List> getActions() { + return List.of( + new ActionPlugin.ActionHandler<>(CompositeStatsActionType.INSTANCE, CompositeStatsTransportAction.class), + new ActionPlugin.ActionHandler<>(CompositeNodeStatsActionType.INSTANCE, CompositeNodeStatsTransportAction.class) + ); + } + + @Override + public List getRestHandlers( + Settings settings, + RestController restController, + ClusterSettings clusterSettings, + IndexScopedSettings indexScopedSettings, + SettingsFilter settingsFilter, + IndexNameExpressionResolver indexNameExpressionResolver, + Supplier nodesInCluster + ) { + return List.of(new CompositeStatsRestAction(), new CompositeNodeStatsRestAction()); + } + /** * Stamps the cluster-scope defaults for {@link #PRIMARY_DATA_FORMAT} and * {@link #SECONDARY_DATA_FORMATS} into newly created indices when those index-level settings diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeIndexingExecutionEngine.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeIndexingExecutionEngine.java index dcaf6156c4870..e34d99c42bb55 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeIndexingExecutionEngine.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeIndexingExecutionEngine.java @@ -14,6 +14,9 @@ import org.opensearch.common.settings.Settings; import org.opensearch.common.util.io.IOUtils; import org.opensearch.composite.merge.CompositeMerger; +import org.opensearch.composite.stats.CompositeShardStatsTracker; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexSettings; import org.opensearch.index.engine.dataformat.DataFormat; import org.opensearch.index.engine.dataformat.DataFormatPlugin; @@ -37,6 +40,7 @@ import org.opensearch.index.mapper.MapperService; import org.opensearch.index.store.FormatChecksumStrategy; import org.opensearch.index.store.Store; +import org.opensearch.plugin.stats.StatsRecorder; import java.io.IOException; import java.util.ArrayList; @@ -79,6 +83,8 @@ public class CompositeIndexingExecutionEngine implements IndexingExecutionEngine private final Committer committer; private final IndexSettings indexSettings; private final CompositeMerger merger; + private final CompositeShardStatsTracker statsTracker = new CompositeShardStatsTracker(); + private final ShardId shardId; private volatile Map> pendingDeletes = new ConcurrentHashMap<>(); /** @@ -151,6 +157,27 @@ public CompositeIndexingExecutionEngine( this.committer = committer; this.indexSettings = indexSettings; this.merger = new CompositeMerger(this, compositeDataFormat); + this.shardId = store != null ? store.shardId() : null; + + // Register the per-shard tracker so REST endpoints can read live counters; unregistered + // in close(). Rolls back the registration if anything below throws, to avoid leaking it. + CompositeStatsProvider provider = CompositeStatsProvider.getInstance(); + boolean registered = false; + try { + if (provider != null && shardId != null) { + provider.register(shardId, statsTracker); + registered = true; + } + } catch (Throwable t) { + if (registered) { + try { + provider.unregister(shardId); + } catch (Throwable rollbackErr) { + logger.warn("Failed to unregister composite stats tracker during constructor rollback", rollbackErr); + } + } + throw t; + } } /** @@ -231,6 +258,12 @@ public Exception getTragicException() { */ @Override public RefreshResult refresh(RefreshInput refreshInput) throws IOException { + // recordTimeMillis owns the whole-refresh timing; incRefreshTotal counts every refresh. + statsTracker.incRefreshTotal(); + return StatsRecorder.recordTimeMillis(() -> doRefresh(refreshInput), statsTracker::addRefreshTimeMillis); + } + + private RefreshResult doRefresh(RefreshInput refreshInput) throws IOException { tryDeletePendingFiles(); // All per-format engines refresh normally (primary passes through, secondary does addIndexes) @@ -269,8 +302,14 @@ public RefreshResult refresh(RefreshInput refreshInput) throws IOException { if (onlyNew.size() > 1) { try { final long mergeStartNanos = System.nanoTime(); - MergeResult mergeResult = merger.merge( - MergeInput.builder().segments(onlyNew).newWriterGeneration(refreshInput.nextAvailableGeneration()).build() + // Counts merge-on-refresh attempts; a subset overlay of merge_total (also + // incremented inside CompositeMerger.merge()). + statsTracker.incRefreshMergeTotal(); + MergeResult mergeResult = StatsRecorder.recordTimeMillis( + () -> merger.merge( + MergeInput.builder().segments(onlyNew).newWriterGeneration(refreshInput.nextAvailableGeneration()).build() + ), + statsTracker::addRefreshMergeTimeMillis ); if (mergeResult != null) { @@ -316,6 +355,7 @@ public RefreshResult refresh(RefreshInput refreshInput) throws IOException { } catch (Exception e) { // Merge-on-refresh is best-effort. On failure, fall back to normal per-writer // segments. Background merge will consolidate them later. + statsTracker.incRefreshMergeFailures(); logger.warn("merge-on-refresh failed, falling back to per-writer segments", e); } } @@ -478,11 +518,20 @@ public CompositeDocumentInput newDocumentInput() { */ @Override public void close() throws IOException { + CompositeStatsProvider provider = CompositeStatsProvider.getInstance(); + if (provider != null && shardId != null) { + provider.unregister(shardId); + } IOUtils.closeWhileHandlingException(primaryEngine); secondaryEngines.forEach(IOUtils::closeWhileHandlingException); IOUtils.closeWhileHandlingException(committer); } + /** Returns this shard's composite stats tracker, used by the writer and merger to count. */ + public CompositeShardStatsTracker statsTracker() { + return statsTracker; + } + /** * Returns the primary delegate engine. * diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeWriter.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeWriter.java index 8999d645bce81..fe627f5c6271a 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeWriter.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/CompositeWriter.java @@ -13,6 +13,7 @@ import org.apache.logging.log4j.message.ParameterizedMessage; import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.common.util.io.IOUtils; +import org.opensearch.composite.stats.CompositeShardStatsTracker; import org.opensearch.index.engine.dataformat.DataFormat; import org.opensearch.index.engine.dataformat.DocumentInput; import org.opensearch.index.engine.dataformat.FileInfos; @@ -55,6 +56,7 @@ class CompositeWriter implements Writer { private final Map>> secondaryWritersByFormat; private final long writerGeneration; private final FailureHandlerStrategy failureHandler; + private final CompositeShardStatsTracker statsTracker; private volatile boolean closed; private long mappingVersion; /** Successful addDoc count — every incoming rowId must equal this. */ @@ -103,6 +105,7 @@ class CompositeWriter implements Writer { } this.secondaryWritersByFormat = Collections.unmodifiableMap(secondaries); this.failureHandler = new FailureHandlerStrategy(); + this.statsTracker = engine.statsTracker(); } @Override @@ -116,11 +119,15 @@ public WriteResult addDoc(CompositeDocumentInput doc) throws IOException { throw new IllegalStateException("rowId [" + doc.getRowId() + "] does not match accepted row count [" + acceptedRows + "]"); } + // Count every write attempt so write_*_failures can be read as a rate. + statsTracker.incWriteTotal(); + // Roll back exactly the writers we've called addDoc on, in order. List>> touched = new ArrayList<>(); touched.add(primaryWriter); WriteResult primaryResult = primaryWriter.addDoc(doc.getPrimaryInput()); if (primaryResult instanceof WriteResult.Failure pf) { + statsTracker.incWritePrimaryFailures(); logger.warn( () -> new ParameterizedMessage("Failed to add document in primary format [{}], rolling back", primaryFormat.name()), pf.cause() @@ -136,6 +143,7 @@ public WriteResult addDoc(CompositeDocumentInput doc) throws IOException { touched.add(writer); WriteResult result = writer.addDoc(inputEntry.getValue()); if (result instanceof WriteResult.Failure sf) { + statsTracker.incWriteSecondaryFailures(); logger.warn( () -> new ParameterizedMessage("Failed to add document in secondary format [{}], rolling back", format.name()), sf.cause() @@ -212,6 +220,7 @@ public long mappingVersion() { @Override public void updateMappingVersion(long newVersion) { if (newVersion > this.mappingVersion) { + statsTracker.incMappingUpdateExecutedTotal(); this.mappingVersion = newVersion; primaryWriter.updateMappingVersion(newVersion); for (Writer w : secondaryWritersByFormat.values()) { diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMerger.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMerger.java index b32d50a1368f1..5c10c282ff0ce 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMerger.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMerger.java @@ -11,6 +11,7 @@ import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.composite.CompositeDataFormat; import org.opensearch.composite.CompositeIndexingExecutionEngine; +import org.opensearch.composite.stats.CompositeShardStatsTracker; import org.opensearch.index.engine.dataformat.DataFormat; import org.opensearch.index.engine.dataformat.IndexingExecutionEngine; import org.opensearch.index.engine.dataformat.MergeInput; @@ -18,6 +19,7 @@ import org.opensearch.index.engine.dataformat.Merger; import org.opensearch.index.engine.exec.Segment; import org.opensearch.index.engine.exec.WriterFileSet; +import org.opensearch.plugin.stats.StatsRecorder; import java.io.IOException; import java.util.ArrayList; @@ -40,18 +42,23 @@ public class CompositeMerger implements Merger { private final DataFormat primaryFormat; private final List secondaryFormats; private final CompositeMergeExecutor executor; + private final CompositeShardStatsTracker statsTracker; public CompositeMerger(CompositeIndexingExecutionEngine engine, CompositeDataFormat compositeDataFormat) { this.primaryFormat = compositeDataFormat.getPrimaryDataFormat(); this.secondaryFormats = resolveSecondaryFormats(compositeDataFormat, primaryFormat); this.executor = new CompositeMergeExecutor(buildMergerMap(engine)); + this.statsTracker = engine.statsTracker(); } @Override public MergeResult merge(MergeInput mergeInput) throws IOException { - Map> filesByFormat = extractFilesByFormat(mergeInput.segments()); - MergePlan plan = new MergePlan(mergeInput.newWriterGeneration(), primaryFormat, secondaryFormats, filesByFormat); - return executor.execute(plan); + // recordOutcome: time always, merge_total on success, merge_failures on throw. + return StatsRecorder.recordOutcome(() -> { + Map> filesByFormat = extractFilesByFormat(mergeInput.segments()); + MergePlan plan = new MergePlan(mergeInput.newWriterGeneration(), primaryFormat, secondaryFormats, filesByFormat); + return executor.execute(plan); + }, statsTracker::addMergeTimeMillis, statsTracker::incMergeTotal, statsTracker::incMergeFailures); } private Map> extractFilesByFormat(List segments) { diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStats.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStats.java new file mode 100644 index 0000000000000..3d520c752e5d3 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStats.java @@ -0,0 +1,167 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.core.xcontent.XContentBuilder; +import org.opensearch.plugin.stats.DataFormatShardStats; + +import java.io.IOException; + +/** + * Immutable point-in-time snapshot of shard-level composite-engine statistics. + * Produced by {@link CompositeShardStatsTracker#stats()}. + * + * @opensearch.experimental + */ +@ExperimentalApi +public class CompositeShardStats implements DataFormatShardStats { + + // Refresh (engine-level, orchestrating all formats) + the merge-on-refresh breakdown. + private final long refreshTotal; + private final long refreshTimeMillis; + private final long refreshMergeTotal; + private final long refreshMergeTimeMillis; + private final long refreshMergeFailures; + + // Merge (standalone CompositeMerger path). + private final long mergeTotal; + private final long mergeTimeMillis; + private final long mergeFailures; + + // Write attempts + failures, split by primary vs secondary format. + private final long writeTotal; + private final long writePrimaryFailures; + private final long writeSecondaryFailures; + + // Dynamic mapping updates that were actually applied (newVersion > current), not no-op calls. + private final long mappingUpdateExecutedTotal; + + /** + * Returns an empty snapshot with all zero counters. Used by transport actions when a + * shard has no composite engine. + */ + public static CompositeShardStats empty() { + return new CompositeShardStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0); + } + + /** Constructs a snapshot with all values. */ + public CompositeShardStats( + long refreshTotal, + long refreshTimeMillis, + long refreshMergeTotal, + long refreshMergeTimeMillis, + long refreshMergeFailures, + long mergeTotal, + long mergeTimeMillis, + long mergeFailures, + long writeTotal, + long writePrimaryFailures, + long writeSecondaryFailures, + long mappingUpdateExecutedTotal + ) { + this.refreshTotal = refreshTotal; + this.refreshTimeMillis = refreshTimeMillis; + this.refreshMergeTotal = refreshMergeTotal; + this.refreshMergeTimeMillis = refreshMergeTimeMillis; + this.refreshMergeFailures = refreshMergeFailures; + this.mergeTotal = mergeTotal; + this.mergeTimeMillis = mergeTimeMillis; + this.mergeFailures = mergeFailures; + this.writeTotal = writeTotal; + this.writePrimaryFailures = writePrimaryFailures; + this.writeSecondaryFailures = writeSecondaryFailures; + this.mappingUpdateExecutedTotal = mappingUpdateExecutedTotal; + } + + public CompositeShardStats(StreamInput in) throws IOException { + this.refreshTotal = in.readVLong(); + this.refreshTimeMillis = in.readVLong(); + this.refreshMergeTotal = in.readVLong(); + this.refreshMergeTimeMillis = in.readVLong(); + this.refreshMergeFailures = in.readVLong(); + this.mergeTotal = in.readVLong(); + this.mergeTimeMillis = in.readVLong(); + this.mergeFailures = in.readVLong(); + this.writeTotal = in.readVLong(); + this.writePrimaryFailures = in.readVLong(); + this.writeSecondaryFailures = in.readVLong(); + this.mappingUpdateExecutedTotal = in.readVLong(); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + out.writeVLong(refreshTotal); + out.writeVLong(refreshTimeMillis); + out.writeVLong(refreshMergeTotal); + out.writeVLong(refreshMergeTimeMillis); + out.writeVLong(refreshMergeFailures); + out.writeVLong(mergeTotal); + out.writeVLong(mergeTimeMillis); + out.writeVLong(mergeFailures); + out.writeVLong(writeTotal); + out.writeVLong(writePrimaryFailures); + out.writeVLong(writeSecondaryFailures); + out.writeVLong(mappingUpdateExecutedTotal); + } + + @Override + public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { + // Refresh — includes the merge-on-refresh breakdown. + builder.startObject("refresh"); + builder.field("refresh_total", refreshTotal); + builder.field("refresh_time_millis", refreshTimeMillis); + builder.field("refresh_merge_total", refreshMergeTotal); + builder.field("refresh_merge_time_millis", refreshMergeTimeMillis); + builder.field("refresh_merge_failures", refreshMergeFailures); + builder.endObject(); + + // Merge — standalone merger path. + builder.startObject("merge"); + builder.field("merge_total", mergeTotal); + builder.field("merge_time_millis", mergeTimeMillis); + builder.field("merge_failures", mergeFailures); + builder.endObject(); + + // Write attempts + failures by format role. + builder.startObject("write"); + builder.field("write_total", writeTotal); + builder.field("write_primary_failures", writePrimaryFailures); + builder.field("write_secondary_failures", writeSecondaryFailures); + builder.endObject(); + + // Dynamic mapping updates actually applied. + builder.startObject("mapping"); + builder.field("mapping_update_executed_total", mappingUpdateExecutedTotal); + builder.endObject(); + + return builder; + } + + /** Returns a new snapshot that is the element-wise sum of this and another. */ + @Override + public CompositeShardStats add(CompositeShardStats other) { + return new CompositeShardStats( + this.refreshTotal + other.refreshTotal, + this.refreshTimeMillis + other.refreshTimeMillis, + this.refreshMergeTotal + other.refreshMergeTotal, + this.refreshMergeTimeMillis + other.refreshMergeTimeMillis, + this.refreshMergeFailures + other.refreshMergeFailures, + this.mergeTotal + other.mergeTotal, + this.mergeTimeMillis + other.mergeTimeMillis, + this.mergeFailures + other.mergeFailures, + this.writeTotal + other.writeTotal, + this.writePrimaryFailures + other.writePrimaryFailures, + this.writeSecondaryFailures + other.writeSecondaryFailures, + this.mappingUpdateExecutedTotal + other.mappingUpdateExecutedTotal + ); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStatsTracker.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStatsTracker.java new file mode 100644 index 0000000000000..d8bcd8a447d2d --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeShardStatsTracker.java @@ -0,0 +1,118 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats; + +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.concurrent.atomic.LongAdder; + +/** + * Mutable, thread-safe shard-level statistics tracker for the composite engine. + * Uses {@link LongAdder} for high-throughput counters. Call {@link #stats()} for an + * immutable {@link CompositeShardStats} snapshot. + * + * @opensearch.experimental + */ +@ExperimentalApi +public class CompositeShardStatsTracker { + + // Refresh + merge-on-refresh breakdown. + private final LongAdder refreshTotal = new LongAdder(); + private final LongAdder refreshTimeMillis = new LongAdder(); + private final LongAdder refreshMergeTotal = new LongAdder(); + private final LongAdder refreshMergeTimeMillis = new LongAdder(); + private final LongAdder refreshMergeFailures = new LongAdder(); + + // Standalone merge. + private final LongAdder mergeTotal = new LongAdder(); + private final LongAdder mergeTimeMillis = new LongAdder(); + private final LongAdder mergeFailures = new LongAdder(); + + // Write attempts + failures by format role. + private final LongAdder writeTotal = new LongAdder(); + private final LongAdder writePrimaryFailures = new LongAdder(); + private final LongAdder writeSecondaryFailures = new LongAdder(); + + // Dynamic mapping updates actually applied. + private final LongAdder mappingUpdateExecutedTotal = new LongAdder(); + + /** Returns an immutable point-in-time snapshot of all tracked statistics. */ + public CompositeShardStats stats() { + return new CompositeShardStats( + refreshTotal.sum(), + refreshTimeMillis.sum(), + refreshMergeTotal.sum(), + refreshMergeTimeMillis.sum(), + refreshMergeFailures.sum(), + mergeTotal.sum(), + mergeTimeMillis.sum(), + mergeFailures.sum(), + writeTotal.sum(), + writePrimaryFailures.sum(), + writeSecondaryFailures.sum(), + mappingUpdateExecutedTotal.sum() + ); + } + + // --- Refresh --- + + public void incRefreshTotal() { + refreshTotal.increment(); + } + + public void addRefreshTimeMillis(long ms) { + refreshTimeMillis.add(ms); + } + + public void incRefreshMergeTotal() { + refreshMergeTotal.increment(); + } + + public void addRefreshMergeTimeMillis(long ms) { + refreshMergeTimeMillis.add(ms); + } + + public void incRefreshMergeFailures() { + refreshMergeFailures.increment(); + } + + // --- Merge --- + + public void incMergeTotal() { + mergeTotal.increment(); + } + + public void addMergeTimeMillis(long ms) { + mergeTimeMillis.add(ms); + } + + public void incMergeFailures() { + mergeFailures.increment(); + } + + // --- Write --- + + public void incWriteTotal() { + writeTotal.increment(); + } + + public void incWritePrimaryFailures() { + writePrimaryFailures.increment(); + } + + public void incWriteSecondaryFailures() { + writeSecondaryFailures.increment(); + } + + // --- Mapping --- + + public void incMappingUpdateExecutedTotal() { + mappingUpdateExecutedTotal.increment(); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeStatsProvider.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeStatsProvider.java new file mode 100644 index 0000000000000..2f34992549663 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/CompositeStatsProvider.java @@ -0,0 +1,100 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.composite.CompositeDataFormat; +import org.opensearch.core.common.io.stream.Writeable; +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.plugin.stats.DataFormatStatsProvider; +import org.opensearch.plugin.stats.DataFormatStatsProviderRegistry; + +import java.util.Map; +import java.util.Optional; +import java.util.concurrent.ConcurrentHashMap; + +/** + * Composite-engine implementation of {@link DataFormatStatsProvider}. + * + *

Maintains a per-shard registry of {@link CompositeShardStatsTracker} instances. + * {@code CompositeIndexingExecutionEngine} self-registers on construction and unregisters + * on close. The plugin's REST + transport classes read stats from this provider. + * + *

Singleton pattern: a static {@code INSTANCE} is set during plugin construction so the + * engine/writer/merger layers can reach the tracker without DI plumbing. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeStatsProvider implements DataFormatStatsProvider { + + public static final String FORMAT_NAME = CompositeDataFormat.COMPOSITE_FORMAT_NAME; + + private static volatile CompositeStatsProvider INSTANCE; + + private final Map trackers = new ConcurrentHashMap<>(); + + public CompositeStatsProvider() { + // First instance wins. Subsequent constructions are no-ops on the singleton slot. + if (INSTANCE == null) { + INSTANCE = this; + } + DataFormatStatsProviderRegistry.INSTANCE.register(this); + } + + /** Returns the singleton, or {@code null} if the plugin has not been constructed yet. */ + public static CompositeStatsProvider getInstance() { + return INSTANCE; + } + + /** Registers a tracker for a shard. Called from the composite engine's constructor. */ + public void register(ShardId shardId, CompositeShardStatsTracker tracker) { + trackers.put(shardId, tracker); + } + + /** Unregisters a tracker. Called from the engine's {@code close()}. */ + public void unregister(ShardId shardId) { + trackers.remove(shardId); + } + + /** Returns the tracker for a shard, or {@code null} if none — used by writer/merger to count. */ + public CompositeShardStatsTracker getTracker(ShardId shardId) { + return trackers.get(shardId); + } + + // --- DataFormatStatsProvider --- + + @Override + public String formatName() { + return FORMAT_NAME; + } + + @Override + public Optional shardStats(ShardId shardId) { + CompositeShardStatsTracker tracker = trackers.get(shardId); + return tracker == null ? Optional.empty() : Optional.of(tracker.stats()); + } + + @Override + public Optional aggregateNodeStats() { + if (trackers.isEmpty()) { + return Optional.empty(); + } + CompositeShardStats agg = CompositeShardStats.empty(); + for (CompositeShardStatsTracker t : trackers.values()) { + agg = agg.add(t.stats()); + } + return Optional.of(agg); + } + + @Override + public Writeable.Reader shardStatsReader() { + return CompositeShardStats::new; + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/package-info.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/package-info.java new file mode 100644 index 0000000000000..9fc811468697e --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/package-info.java @@ -0,0 +1,14 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +/** + * Statistics collection for the composite engine plugin. + * + * @opensearch.experimental + */ +package org.opensearch.composite.stats; diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsActionType.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsActionType.java new file mode 100644 index 0000000000000..b4aa957ea1b34 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsActionType.java @@ -0,0 +1,30 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.composite.stats.CompositeShardStats; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.FormatNodeStatsActionType; + +/** + * Action type for the composite per-node stats endpoint + * ({@code GET /_plugins/composite/_nodes/[{nodeId}/]_stats}). + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeNodeStatsActionType extends FormatNodeStatsActionType { + + public static final CompositeNodeStatsActionType INSTANCE = new CompositeNodeStatsActionType(); + + private CompositeNodeStatsActionType() { + super(CompositeStatsProvider.FORMAT_NAME, CompositeShardStats::new); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsRestAction.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsRestAction.java new file mode 100644 index 0000000000000..bc1b395c8de93 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsRestAction.java @@ -0,0 +1,34 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.action.ActionType; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.BaseFormatNodeStatsRestAction; +import org.opensearch.plugin.stats.transport.FormatNodeStatsResponse; + +/** + * REST handler for {@code GET /_plugins/composite/_nodes/[{nodeId}/]_stats}. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeNodeStatsRestAction extends BaseFormatNodeStatsRestAction { + + @Override + protected String formatName() { + return CompositeStatsProvider.FORMAT_NAME; + } + + @Override + protected ActionType> actionType() { + return CompositeNodeStatsActionType.INSTANCE; + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsTransportAction.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsTransportAction.java new file mode 100644 index 0000000000000..6016cbe508804 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeNodeStatsTransportAction.java @@ -0,0 +1,46 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.action.support.ActionFilters; +import org.opensearch.cluster.service.ClusterService; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.common.inject.Inject; +import org.opensearch.composite.stats.CompositeShardStats; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.BaseTransportFormatNodeStatsAction; +import org.opensearch.threadpool.ThreadPool; +import org.opensearch.transport.TransportService; + +/** + * Per-node stats transport action for the composite engine. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeNodeStatsTransportAction extends BaseTransportFormatNodeStatsAction { + + @Inject + public CompositeNodeStatsTransportAction( + ThreadPool threadPool, + ClusterService clusterService, + TransportService transportService, + ActionFilters actionFilters + ) { + super( + CompositeNodeStatsActionType.INSTANCE.name(), + CompositeStatsProvider.FORMAT_NAME, + CompositeShardStats::new, + threadPool, + clusterService, + transportService, + actionFilters + ); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsActionType.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsActionType.java new file mode 100644 index 0000000000000..ea3dd7b99df0a --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsActionType.java @@ -0,0 +1,30 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.composite.stats.CompositeShardStats; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.FormatStatsActionType; + +/** + * Action type for the composite per-index stats endpoint + * ({@code GET /_plugins/composite/{index}/_stats}). + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeStatsActionType extends FormatStatsActionType { + + public static final CompositeStatsActionType INSTANCE = new CompositeStatsActionType(); + + private CompositeStatsActionType() { + super(CompositeStatsProvider.FORMAT_NAME, CompositeShardStats::new); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsRestAction.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsRestAction.java new file mode 100644 index 0000000000000..a9bd710d70baa --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsRestAction.java @@ -0,0 +1,34 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.action.ActionType; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.BaseFormatStatsRestAction; +import org.opensearch.plugin.stats.transport.FormatStatsResponse; + +/** + * REST handler for {@code GET /_plugins/composite/{index}/_stats}. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeStatsRestAction extends BaseFormatStatsRestAction { + + @Override + protected String formatName() { + return CompositeStatsProvider.FORMAT_NAME; + } + + @Override + protected ActionType> actionType() { + return CompositeStatsActionType.INSTANCE; + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsTransportAction.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsTransportAction.java new file mode 100644 index 0000000000000..aee0871c3c339 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/CompositeStatsTransportAction.java @@ -0,0 +1,49 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats.transport; + +import org.opensearch.action.support.ActionFilters; +import org.opensearch.cluster.metadata.IndexNameExpressionResolver; +import org.opensearch.cluster.service.ClusterService; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.common.inject.Inject; +import org.opensearch.composite.stats.CompositeShardStats; +import org.opensearch.composite.stats.CompositeStatsProvider; +import org.opensearch.plugin.stats.transport.BaseTransportFormatStatsAction; +import org.opensearch.transport.TransportService; + +/** + * Per-index stats transport action for the composite engine. + * + *

All broadcast/aggregation logic lives in {@link BaseTransportFormatStatsAction}; this + * class supplies the action name, format name, and the {@link CompositeShardStats} reader. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class CompositeStatsTransportAction extends BaseTransportFormatStatsAction { + + @Inject + public CompositeStatsTransportAction( + ClusterService clusterService, + TransportService transportService, + ActionFilters actionFilters, + IndexNameExpressionResolver indexNameExpressionResolver + ) { + super( + CompositeStatsActionType.INSTANCE.name(), + CompositeStatsProvider.FORMAT_NAME, + CompositeShardStats::new, + clusterService, + transportService, + actionFilters, + indexNameExpressionResolver + ); + } +} diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/package-info.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/package-info.java new file mode 100644 index 0000000000000..5ae87b4bdec61 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/stats/transport/package-info.java @@ -0,0 +1,22 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +/** + * Transport and REST actions for the composite per-format statistics endpoints. + * + *

Wires {@link org.opensearch.composite.stats.CompositeStatsProvider} into the + * {@code /_plugins/composite/{index}/_stats} and {@code /_plugins/composite/_nodes/_stats} + * REST + transport surfaces by extending the abstract bases in + * {@link org.opensearch.plugin.stats.transport}. + * + * @opensearch.experimental + */ +@ExperimentalApi +package org.opensearch.composite.stats.transport; + +import org.opensearch.common.annotation.ExperimentalApi; diff --git a/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java index d9ed61be931fa..3cb370cadd171 100644 --- a/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java +++ b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java @@ -14,6 +14,7 @@ import org.opensearch.common.settings.Settings; import org.opensearch.composite.CompositeDataFormat; import org.opensearch.composite.CompositeIndexingExecutionEngine; +import org.opensearch.composite.stats.CompositeShardStatsTracker; import org.opensearch.core.index.Index; import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexSettings; @@ -79,6 +80,7 @@ public void setUp() throws Exception { IndexingExecutionEngine secondaryEngine = mockEngine(secondaryFormat, secondaryMerger); compositeEngine = mock(CompositeIndexingExecutionEngine.class); + when(compositeEngine.statsTracker()).thenReturn(new CompositeShardStatsTracker()); doReturn(primaryEngine).when(compositeEngine).getPrimaryDelegate(); doReturn(Set.of(secondaryEngine)).when(compositeEngine).getSecondaryDelegates(); when(compositeEngine.getNextWriterGeneration()).thenReturn(99L); @@ -118,6 +120,7 @@ public void testDoMergeSuccessWithPrimaryAndSecondary() throws IOException { public void testDoMergePrimaryOnlyNoSecondaries() throws IOException { CompositeIndexingExecutionEngine engineNoSecondary = mock(CompositeIndexingExecutionEngine.class); + when(engineNoSecondary.statsTracker()).thenReturn(new CompositeShardStatsTracker()); IndexingExecutionEngine primaryEngine = mockEngine(primaryFormat, primaryMerger); doReturn(primaryEngine).when(engineNoSecondary).getPrimaryDelegate(); doReturn(Set.of()).when(engineNoSecondary).getSecondaryDelegates(); @@ -193,6 +196,7 @@ public void testDoMergeMultipleSecondariesFailsFastOnFirstError() throws IOExcep Merger secondaryMerger2 = mock(Merger.class); CompositeIndexingExecutionEngine multiEngine = mock(CompositeIndexingExecutionEngine.class); + when(multiEngine.statsTracker()).thenReturn(new CompositeShardStatsTracker()); IndexingExecutionEngine primaryEngine = mockEngine(primaryFormat, primaryMerger); doReturn(primaryEngine).when(multiEngine).getPrimaryDelegate(); doReturn(Set.of(mockEngine(secondaryFormat, secondaryMerger), mockEngine(secondaryFormat2, secondaryMerger2))).when(multiEngine) @@ -354,6 +358,7 @@ public void testDoMergeSkipsSecondaryThatEqualsPrimary() throws IOException { IndexingExecutionEngine duplicateEngine = mockEngine(primaryFormat, primaryMerger); CompositeIndexingExecutionEngine dupEngine = mock(CompositeIndexingExecutionEngine.class); + when(dupEngine.statsTracker()).thenReturn(new CompositeShardStatsTracker()); doReturn(primaryEngine).when(dupEngine).getPrimaryDelegate(); doReturn(Set.of(duplicateEngine)).when(dupEngine).getSecondaryDelegates(); when(dupEngine.getNextWriterGeneration()).thenReturn(99L); diff --git a/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/stats/CompositeShardStatsTests.java b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/stats/CompositeShardStatsTests.java new file mode 100644 index 0000000000000..d4eda10758ad9 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/stats/CompositeShardStatsTests.java @@ -0,0 +1,112 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite.stats; + +import org.opensearch.common.io.stream.BytesStreamOutput; +import org.opensearch.common.xcontent.XContentFactory; +import org.opensearch.common.xcontent.XContentHelper; +import org.opensearch.common.xcontent.json.JsonXContent; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.xcontent.ToXContent; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.Map; + +/** + * Unit tests for {@link CompositeShardStats} and {@link CompositeShardStatsTracker}: + * counter increments, snapshot fidelity, aggregation, and wire/XContent round-trips. + */ +public class CompositeShardStatsTests extends OpenSearchTestCase { + + public void testTrackerCountersFlowIntoSnapshot() { + CompositeShardStatsTracker tracker = new CompositeShardStatsTracker(); + tracker.incRefreshTotal(); + tracker.addRefreshTimeMillis(10); + tracker.incRefreshMergeTotal(); + tracker.addRefreshMergeTimeMillis(4); + tracker.incRefreshMergeFailures(); + tracker.incMergeTotal(); + tracker.addMergeTimeMillis(7); + tracker.incMergeFailures(); + tracker.incWriteTotal(); + tracker.incWritePrimaryFailures(); + tracker.incWriteSecondaryFailures(); + tracker.incMappingUpdateExecutedTotal(); + + CompositeShardStats s = tracker.stats(); + Map json = toMap(s); + + assertEquals(1L, get(json, "refresh.refresh_total")); + assertEquals(10L, get(json, "refresh.refresh_time_millis")); + assertEquals(1L, get(json, "refresh.refresh_merge_total")); + assertEquals(4L, get(json, "refresh.refresh_merge_time_millis")); + assertEquals(1L, get(json, "refresh.refresh_merge_failures")); + assertEquals(1L, get(json, "merge.merge_total")); + assertEquals(7L, get(json, "merge.merge_time_millis")); + assertEquals(1L, get(json, "merge.merge_failures")); + assertEquals(1L, get(json, "write.write_total")); + assertEquals(1L, get(json, "write.write_primary_failures")); + assertEquals(1L, get(json, "write.write_secondary_failures")); + assertEquals(1L, get(json, "mapping.mapping_update_executed_total")); + } + + public void testEmptyIsAllZero() { + Map json = toMap(CompositeShardStats.empty()); + assertEquals(0L, get(json, "refresh.refresh_total")); + assertEquals(0L, get(json, "merge.merge_failures")); + assertEquals(0L, get(json, "write.write_primary_failures")); + assertEquals(0L, get(json, "mapping.mapping_update_executed_total")); + } + + public void testAddSumsAllCounters() { + CompositeShardStats a = new CompositeShardStats(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12); + CompositeShardStats b = new CompositeShardStats(10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120); + Map json = toMap(a.add(b)); + + assertEquals(11L, get(json, "refresh.refresh_total")); + assertEquals(33L, get(json, "refresh.refresh_merge_total")); + assertEquals(55L, get(json, "refresh.refresh_merge_failures")); + assertEquals(66L, get(json, "merge.merge_total")); + assertEquals(88L, get(json, "merge.merge_failures")); + assertEquals(99L, get(json, "write.write_total")); + assertEquals(110L, get(json, "write.write_primary_failures")); + assertEquals(132L, get(json, "mapping.mapping_update_executed_total")); + } + + public void testStreamRoundTrip() throws Exception { + CompositeShardStats original = new CompositeShardStats(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12); + BytesStreamOutput out = new BytesStreamOutput(); + original.writeTo(out); + try (StreamInput in = out.bytes().streamInput()) { + CompositeShardStats restored = new CompositeShardStats(in); + assertEquals(toMap(original), toMap(restored)); + } + } + + private static Map toMap(CompositeShardStats stats) { + try { + var builder = XContentFactory.jsonBuilder().startObject(); + stats.toXContent(builder, ToXContent.EMPTY_PARAMS); + builder.endObject(); + return XContentHelper.convertToMap(JsonXContent.jsonXContent, builder.toString(), true); + } catch (Exception e) { + throw new AssertionError(e); + } + } + + @SuppressWarnings("unchecked") + private static long get(Map json, String dotted) { + String[] parts = dotted.split("\\."); + Object cur = json; + for (String p : parts) { + cur = ((Map) cur).get(p); + } + return ((Number) cur).longValue(); + } +} diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java index 5831078a12bd2..272100284a5e2 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java @@ -94,6 +94,8 @@ public class ParquetDataFormatPlugin extends Plugin implements DataFormatPlugin, /** Thread pool name for background native Parquet writes during VSR rotation. */ public static final String PARQUET_THREAD_POOL_NAME = "parquet_native_write"; + + public static final int PARQUET_THREAD_POOL_QUEUE_SIZE = 10_000; private static final StoreStrategy storeStrategy = new ParquetStoreStrategy(); public static final ParquetDataFormat PARQUET_DATA_FORMAT = new ParquetDataFormat(); /** Initialized to EMPTY to avoid NPE if indexingEngine() is called before createComponents(). */ @@ -121,6 +123,11 @@ public Collection createComponents( ) { this.settings = clusterService.getSettings(); this.threadPool = threadPool; + // Hand the node thread pool to the stats provider so per-node stats can read the live + // parquet_native_write pool (queue depth / active / rejected). + if (ParquetStatsProvider.getInstance() != null) { + ParquetStatsProvider.getInstance().setThreadPool(threadPool); + } this.nativeAllocator = pluginComponentRegistry.getComponent(ArrowNativeAllocator.class).orElse(null); // Initialize native write/merge memory pools @@ -233,7 +240,7 @@ public List> getExecutorBuilders(Settings settings) { settings, PARQUET_THREAD_POOL_NAME, OpenSearchExecutors.allocatedProcessors(settings), - -1, + PARQUET_THREAD_POOL_QUEUE_SIZE, "thread_pool." + PARQUET_THREAD_POOL_NAME ) ); diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetIngestPoolStats.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetIngestPoolStats.java new file mode 100644 index 0000000000000..febb61684892b --- /dev/null +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetIngestPoolStats.java @@ -0,0 +1,92 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.parquet.stats; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.core.common.io.stream.Writeable; +import org.opensearch.core.xcontent.ToXContentFragment; +import org.opensearch.core.xcontent.XContentBuilder; +import org.opensearch.threadpool.ThreadPoolStats; + +import java.io.IOException; + +/** + * Live, node-level snapshot of the {@code parquet_native_write} thread pool that backs Parquet + * background ingestion writes. Surfaces queue saturation and rejection pressure. + * + *

Node-level only: rendered under the {@code native_ingest_pool} block of the per-node stats + * aggregate, never on a per-shard payload. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class ParquetIngestPoolStats implements Writeable, ToXContentFragment { + + private final int threads; + private final int queueDepth; + private final int active; + private final long rejected; + private final long completed; + + public ParquetIngestPoolStats(int threads, int queueDepth, int active, long rejected, long completed) { + this.threads = threads; + this.queueDepth = queueDepth; + this.active = active; + this.rejected = rejected; + this.completed = completed; + } + + public ParquetIngestPoolStats(StreamInput in) throws IOException { + this.threads = in.readVInt(); + this.queueDepth = in.readVInt(); + this.active = in.readVInt(); + this.rejected = in.readVLong(); + this.completed = in.readVLong(); + } + + /** + * Builds a snapshot from a {@link ThreadPoolStats.Stats} reading of the {@code parquet_native_write} + * pool, or {@code null} if {@code stats} is {@code null} (pool not found). + */ + public static ParquetIngestPoolStats from(ThreadPoolStats.Stats stats) { + if (stats == null) { + return null; + } + return new ParquetIngestPoolStats( + stats.getThreads(), + stats.getQueue(), + stats.getActive(), + stats.getRejected(), + stats.getCompleted() + ); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + out.writeVInt(threads); + out.writeVInt(queueDepth); + out.writeVInt(active); + out.writeVLong(rejected); + out.writeVLong(completed); + } + + @Override + public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { + builder.startObject("native_ingest_pool"); + builder.field("threads", threads); + builder.field("queue_depth", queueDepth); + builder.field("active", active); + builder.field("rejected", rejected); + builder.field("completed", completed); + builder.endObject(); + return builder; + } +} diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetShardStats.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetShardStats.java index dc0ca757ec6d7..2e643340d0d97 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetShardStats.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/stats/ParquetShardStats.java @@ -40,6 +40,8 @@ public class ParquetShardStats implements DataFormatShardStats trackers = new ConcurrentHashMap<>(); + // Node-level thread pool backing parquet ingestion writes. Set post-construction (the pool + // isn't available when the provider is built in createGuiceModules). May be null in tests. + private volatile org.opensearch.threadpool.ThreadPool threadPool; + public ParquetStatsProvider() { // First instance wins. Subsequent constructions are no-ops on the singleton slot. if (INSTANCE == null) { @@ -61,6 +65,11 @@ public static ParquetStatsProvider getInstance() { return INSTANCE; } + /** Sets the node thread pool used to read live {@code parquet_native_write} pool stats. */ + public void setThreadPool(org.opensearch.threadpool.ThreadPool threadPool) { + this.threadPool = threadPool; + } + /** Registers a tracker for a shard. Called from {@code ParquetIndexingEngine}'s constructor. */ public void register(ShardId shardId, ParquetShardStatsTracker tracker) { trackers.put(shardId, tracker); @@ -102,19 +111,38 @@ public Optional aggregateNodeStats() { for (ParquetShardStatsTracker t : trackers.values()) { agg = agg.add(t.stats()); } - // Attach native runtime metrics — only at node level. If the FFM/JNI bridge is - // unavailable (e.g., test infra without lib loaded) we still return the per-shard - // aggregate; missing runtime metrics shouldn't break the whole stats request. - // Catching Exception (not Throwable) so we still propagate JVM-fatal Errors. + // Node-level decoration: the live parquet_native_write pool snapshot + the Rust runtime + // metrics. Both are best-effort — a null pool or an unavailable native bridge simply + // leaves that block off rather than failing the whole stats request. + ParquetIngestPoolStats ingestPool = collectIngestPoolStats(); + ParquetNativeRuntimeStats runtime = null; + try { + runtime = ParquetNativeRuntimeStats.fromArray(org.opensearch.parquet.bridge.RustBridge.collectRuntimeMetrics()); + } catch (Exception e) { + logger.warn("Failed to collect native runtime metrics; node stats will omit the native_runtime block", e); + } + return Optional.of(agg.withNodeStats(runtime, ingestPool)); + } + + /** + * Reads the live {@code parquet_native_write} pool stats from the node thread pool, or returns + * {@code null} if the thread pool is unavailable or the pool is not present. + */ + private ParquetIngestPoolStats collectIngestPoolStats() { + org.opensearch.threadpool.ThreadPool tp = threadPool; + if (tp == null) { + return null; + } try { - ParquetNativeRuntimeStats runtime = ParquetNativeRuntimeStats.fromArray( - org.opensearch.parquet.bridge.RustBridge.collectRuntimeMetrics() - ); - return Optional.of(agg.withNativeRuntime(runtime)); + for (org.opensearch.threadpool.ThreadPoolStats.Stats s : tp.stats()) { + if (org.opensearch.parquet.ParquetDataFormatPlugin.PARQUET_THREAD_POOL_NAME.equals(s.getName())) { + return ParquetIngestPoolStats.from(s); + } + } } catch (Exception e) { - logger.warn("Failed to collect native runtime metrics; returning per-shard aggregate without runtime block", e); - return Optional.of(agg); + logger.warn("Failed to collect parquet ingest pool stats", e); } + return null; } @Override diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java index 9e1c994cb1c71..ea65e1ad798b5 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java @@ -14,6 +14,7 @@ import org.apache.arrow.vector.types.pojo.Schema; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.opensearch.core.concurrency.OpenSearchRejectedExecutionException; import org.opensearch.index.IndexSettings; import org.opensearch.index.engine.dataformat.DocumentInput; import org.opensearch.index.engine.dataformat.RowIdMapping; @@ -320,7 +321,13 @@ public void maybeRotateActiveVSR() throws IOException { vsrPool.completeVSR(frozenVSR); vsrPool.unsetFrozenVSR(); }; - pendingWrite = threadPool.executor(vsrRotationThread).submit(writeTask); + try { + pendingWrite = threadPool.executor(vsrRotationThread).submit(writeTask); + } catch (OpenSearchRejectedExecutionException e) { + // Pool saturated — count the rejection and re-throw (surfaces as HTTP 429). + stats.incNativeWriteRejections(); + throw e; + } } ManagedVSR newVSR = vsrPool.getActiveVSR(); if (newVSR == null) { diff --git a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/stats/ParquetIngestPoolStatsTests.java b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/stats/ParquetIngestPoolStatsTests.java new file mode 100644 index 0000000000000..e0422436a7add --- /dev/null +++ b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/stats/ParquetIngestPoolStatsTests.java @@ -0,0 +1,83 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.parquet.stats; + +import org.opensearch.common.io.stream.BytesStreamOutput; +import org.opensearch.common.xcontent.XContentFactory; +import org.opensearch.common.xcontent.XContentHelper; +import org.opensearch.common.xcontent.json.JsonXContent; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.xcontent.ToXContent; +import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.threadpool.ThreadPoolStats; + +import java.util.Map; + +/** Unit tests for {@link ParquetIngestPoolStats}: XContent shape, stream round-trip, factory. */ +public class ParquetIngestPoolStatsTests extends OpenSearchTestCase { + + public void testToXContentShape() { + ParquetIngestPoolStats stats = new ParquetIngestPoolStats(4, 12, 3, 7L, 100L); + Map json = toMap(stats); + @SuppressWarnings("unchecked") + Map pool = (Map) json.get("native_ingest_pool"); + assertNotNull("native_ingest_pool block must be present", pool); + assertEquals(4, ((Number) pool.get("threads")).intValue()); + assertEquals(12, ((Number) pool.get("queue_depth")).intValue()); + assertEquals(3, ((Number) pool.get("active")).intValue()); + assertEquals(7L, ((Number) pool.get("rejected")).longValue()); + assertEquals(100L, ((Number) pool.get("completed")).longValue()); + } + + public void testStreamRoundTrip() throws Exception { + ParquetIngestPoolStats original = new ParquetIngestPoolStats(2, 5, 1, 9L, 42L); + BytesStreamOutput out = new BytesStreamOutput(); + original.writeTo(out); + try (StreamInput in = out.bytes().streamInput()) { + ParquetIngestPoolStats restored = new ParquetIngestPoolStats(in); + assertEquals(toMap(original), toMap(restored)); + } + } + + public void testFromThreadPoolStats() { + ThreadPoolStats.Stats s = new ThreadPoolStats.Stats.Builder().name("parquet_native_write") + .threads(4) + .queue(12) + .active(3) + .rejected(7L) + .largest(20) + .completed(100L) + .build(); + ParquetIngestPoolStats stats = ParquetIngestPoolStats.from(s); + assertNotNull(stats); + Map pool = poolBlock(stats); + assertEquals(12, ((Number) pool.get("queue_depth")).intValue()); + assertEquals(7L, ((Number) pool.get("rejected")).longValue()); + } + + public void testFromNullReturnsNull() { + assertNull(ParquetIngestPoolStats.from(null)); + } + + private static Map toMap(ParquetIngestPoolStats stats) { + try { + var builder = XContentFactory.jsonBuilder().startObject(); + stats.toXContent(builder, ToXContent.EMPTY_PARAMS); + builder.endObject(); + return XContentHelper.convertToMap(JsonXContent.jsonXContent, builder.toString(), true); + } catch (Exception e) { + throw new AssertionError(e); + } + } + + @SuppressWarnings("unchecked") + private static Map poolBlock(ParquetIngestPoolStats stats) { + return (Map) toMap(stats).get("native_ingest_pool"); + } +} From acc0ec72c736bab9ba82cc7e1c4a751bbf46d867 Mon Sep 17 00:00:00 2001 From: Bukhtawar Khan Date: Sat, 20 Jun 2026 00:02:46 +0530 Subject: [PATCH 08/94] Flush CPU runtime deferred drops on query cancellation (#22207) After cancel_query aborts the CPU task, RepartitionExec's pull_from_input tasks (holding GroupedHashAggregateStream with GB-scale GroupValues buffers) remain in tokio's deferred drop queue until a worker processes them. On an idle runtime this can take seconds or never complete promptly. Store the DedicatedExecutor's runtime Handle in QueryTracker. In stream_close, after dropping the QueryStreamHandle (which drops the JoinSet and triggers the abort cascade), spawn yield tasks on the CPU runtime to give workers scheduling opportunities to process the deferred drops of pull_from_input futures and their captured GroupValues buffers. Signed-off-by: Bukhtawar Khan --- .../rust/src/api.rs | 23 ++- .../rust/src/indexed_executor.rs | 10 +- .../rust/src/query_executor.rs | 20 ++- .../rust/src/query_tracker.rs | 163 +++++++++++++++++- 4 files changed, 206 insertions(+), 10 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 28b2717e7de76..8da55d82a3d54 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -1333,6 +1333,10 @@ pub unsafe fn stream_close(stream_ptr: i64) { return; } let mut handle = Box::from_raw(stream_ptr as *mut QueryStreamHandle); + let context_id = handle._query_tracking_context.context_id(); + // Grab the CPU runtime handle BEFORE drop — drop removes the tracker from + // the registry, making it unreachable for flush_cpu_runtime. + let cpu_rt_handle = query_tracker::take_cpu_runtime_handle(context_id); // Dropping the handle aborts the CPU task but does not wait for it; on the coordinator-reduce // path that task still holds Java-borrowed input batches. Wait for it to fully unwind (signal // fires once its batches drop) before returning, so the caller's allocator close is safe. @@ -1355,6 +1359,13 @@ pub unsafe fn stream_close(stream_ptr: i64) { } } } + // After dropping the QueryStreamHandle (which drops CrossRtStream → JoinSet → + // aborts the CPU task), flush the runtime so the cascading abort of + // pull_from_input tasks (holding GroupValues buffers) is processed now rather + // than lingering in tokio's deferred drop queue on an idle runtime. + if let Some(rt) = cpu_rt_handle { + query_tracker::flush_cpu_runtime_with_handle(&rt, context_id); + } } /// Fires the cancellation token for the given context_id. @@ -1810,11 +1821,15 @@ pub async unsafe fn execute_local_plan( // shape as `execute_query`, so existing `stream_next` / `stream_close` // drain this handle unchanged. Use the cancellable variant so the CPU // task can be aborted mid-execution when cancel_query fires. + let cpu_exec = manager.cpu_executor(); let (cross_rt_stream, abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, manager.cpu_executor()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone()); if let Some(h) = abort_handle { query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_exec.handle() { + query_tracker::set_cpu_runtime_handle(context_id, rt); + } let wrapped = RecordBatchStreamAdapter::new(cross_rt_stream.schema(), cross_rt_stream); // Attach the teardown signal so stream_close releases borrowed input batches before allocator close. @@ -1854,11 +1869,15 @@ pub unsafe fn execute_local_prepared_plan( let _guard = manager.io_runtime.enter(); let df_stream = session.execute_prepared()?; + let cpu_exec = manager.cpu_executor(); let (cross_rt_stream, abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, manager.cpu_executor()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone()); if let Some(h) = abort_handle { query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_exec.handle() { + query_tracker::set_cpu_runtime_handle(context_id, rt); + } let wrapped = RecordBatchStreamAdapter::new(cross_rt_stream.schema(), cross_rt_stream); // Same teardown signal as execute_local_plan. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index faf1615d0b3b0..d94c706e49ffb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -745,10 +745,13 @@ async unsafe fn execute_indexed_with_context_inner( let empty_exec = EmptyExec::new(Arc::clone(&plan_schema)); let df_stream = empty_exec.execute(0, handle.ctx.task_ctx())?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id_early, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id_early, rt); + } let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( cross_rt_stream.schema(), cross_rt_stream, @@ -1223,11 +1226,14 @@ async unsafe fn execute_indexed_with_context_inner( .map_err(|e| DataFusionError::Execution(format!("execute_stream: {}", e)))?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } let schema = cross_rt_stream.schema(); let wrapped = RecordBatchStreamAdapter::new(schema, cross_rt_stream); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs index ba2347b70f093..21bb8bb2a8948 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs @@ -198,11 +198,14 @@ pub async fn execute_query( // Wrap in CrossRtStream — CPU work runs on DedicatedExecutor let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } // Attach phantom corrector for self-correcting budget (if provided) let cross_rt_stream = match phantom_corrector { @@ -293,10 +296,13 @@ pub async fn execute_with_context( e })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( cross_rt_stream.schema(), cross_rt_stream, @@ -330,10 +336,13 @@ pub async fn execute_with_context( })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( cross_rt_stream.schema(), cross_rt_stream, @@ -356,11 +365,14 @@ pub async fn execute_with_context( })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( cross_rt_stream.schema(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs index b52acd2cc3093..b1391963bacb6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs @@ -22,7 +22,7 @@ use std::sync::{Arc, OnceLock}; use std::time::{Duration, Instant}; use dashmap::DashMap; -use log::debug; +use log::{debug, warn}; use once_cell::sync::Lazy; use tokio::task::AbortHandle; use tokio_util::sync::CancellationToken; @@ -172,6 +172,10 @@ pub struct QueryTracker { pub cancellation_token: CancellationToken, /// CPU task abort handle, set after the stream is created. pub abort_handle: OnceLock, + /// Handle to the DedicatedExecutor's tokio runtime. Used by `cancel_query` + /// to flush pending deferred drops (pull_from_input tasks holding GroupValues + /// buffers) after aborting the outer CrossRtStream task. + pub cpu_runtime_handle: OnceLock, /// Nanos since PROCESS_START when cancellation was signalled, or 0 if not cancelled. /// Set atomically via CAS in cancel_query — no lock needed. pub cancelled_at_nanos: AtomicU64, @@ -351,8 +355,32 @@ pub fn snapshot_top_n_by_current(out: &mut [WireQueryMetric]) -> usize { written } -/// Fire the cancellation token for the given context_id. +/// Maximum time the flush will block waiting for the CPU runtime to process +/// deferred drops (pull_from_input tasks holding GroupValues buffers). +const CANCEL_FLUSH_TIMEOUT: Duration = Duration::from_millis(500); + +/// Yields per flush worker. The abort cascade has 3 scheduling levels: +/// Level 1: CrossRtStream CPU task abort → drops CoalescePartitions receiver +/// Level 2: CoalescePartitions' run_input tasks see closed channel → exit → +/// drop PerPartitionStream → Arc refcount hits 0 +/// Level 3: SpawnedTask::drop aborts pull_from_input → drops GroupValues +/// Each level needs at least one scheduling round per task. With +/// target_partitions = N, levels 2 and 3 each have N tasks. +/// 32 yields per worker covers up to 32 partitions per level on a single worker. +const FLUSH_YIELDS_PER_WORKER: usize = 32; + +/// Number of flush tasks to spawn. Spawning across multiple workers ensures +/// the woken tasks (which may land on different workers' queues) are processed +/// in parallel rather than serialized through one worker's yields. +const FLUSH_WORKER_COUNT: usize = 4; + +/// Fire the cancellation token for the given context_id and abort the CPU task. /// No-op for unknown or already-completed queries. +/// +/// Note: this does NOT flush the runtime — the abort cascade only completes +/// after the `QueryStreamHandle` is dropped (via `stream_close`). Call +/// [`flush_cpu_runtime`] after `stream_close` to ensure deferred drops are +/// processed and GroupValues buffers are freed. pub fn cancel_query(context_id: i64) { if let Some(tracker) = QUERY_REGISTRY.get(&context_id) { tracker.cancellation_token.cancel(); @@ -364,6 +392,60 @@ pub fn cancel_query(context_id: i64) { } } +/// Flush the CPU runtime for the given context_id, giving tokio workers +/// scheduling opportunities to process deferred drops from the abort cascade. +/// +/// Call this AFTER `stream_close` has dropped the `QueryStreamHandle` (which +/// drops the JoinSet, releasing aborted task futures for collection). The flush +/// spawns lightweight tasks that yield repeatedly, ensuring workers wake up and +/// process the pending drops (pull_from_input futures → GroupValues buffers). +/// +/// No-op if no runtime handle is registered or the query is unknown. +pub fn flush_cpu_runtime(context_id: i64) { + let rt_handle = QUERY_REGISTRY + .get(&context_id) + .and_then(|tracker| tracker.cpu_runtime_handle.get().cloned()); + + if let Some(handle) = rt_handle { + flush_cpu_runtime_with_handle(&handle, context_id); + } +} + +/// Flush variant that takes the runtime handle directly — used by `stream_close` +/// which must extract the handle before dropping the tracker (drop removes it +/// from the registry). +pub fn flush_cpu_runtime_with_handle(handle: &tokio::runtime::Handle, context_id: i64) { + let (tx, rx) = std::sync::mpsc::sync_channel(FLUSH_WORKER_COUNT); + for _ in 0..FLUSH_WORKER_COUNT { + let tx = tx.clone(); + handle.spawn(async move { + for _ in 0..FLUSH_YIELDS_PER_WORKER { + tokio::task::yield_now().await; + } + let _ = tx.send(()); + }); + } + drop(tx); + for _ in 0..FLUSH_WORKER_COUNT { + if rx.recv_timeout(CANCEL_FLUSH_TIMEOUT).is_err() { + warn!( + "flush_cpu_runtime({}): timed out after {}ms", + context_id, CANCEL_FLUSH_TIMEOUT.as_millis() + ); + break; + } + } +} + +/// Extract the CPU runtime handle from the tracker, removing it. Used by +/// `stream_close` to grab the handle before the tracker is dropped (which +/// removes it from the registry). +pub fn take_cpu_runtime_handle(context_id: i64) -> Option { + QUERY_REGISTRY + .get(&context_id) + .and_then(|tracker| tracker.cpu_runtime_handle.get().cloned()) +} + /// Clone the cancellation token for the given context_id, if registered. pub fn get_cancellation_token(context_id: i64) -> Option { QUERY_REGISTRY.get(&context_id).map(|t| t.cancellation_token.clone()) @@ -376,6 +458,14 @@ pub fn set_abort_handle(context_id: i64, handle: AbortHandle) { } } +/// Store the CPU runtime handle for the given context_id so that +/// `cancel_query` can flush deferred drops on that runtime. +pub fn set_cpu_runtime_handle(context_id: i64, handle: tokio::runtime::Handle) { + if let Some(tracker) = QUERY_REGISTRY.get(&context_id) { + tracker.cpu_runtime_handle.set(handle).ok(); + } +} + /// Counts queries currently running past the cancellation threshold, by type. /// Returns (shard_current, coordinator_current). /// @@ -430,6 +520,7 @@ impl QueryTrackingContext { memory_pool: query_pool, cancellation_token: CancellationToken::new(), abort_handle: OnceLock::new(), + cpu_runtime_handle: OnceLock::new(), cancelled_at_nanos: AtomicU64::new(0), completed: AtomicBool::new(false), wall_nanos: std::sync::atomic::AtomicU64::new(0), @@ -859,6 +950,74 @@ mod tests { } + // ----------------------------------------------------------------------- + // Flush-on-cancel tests + // ----------------------------------------------------------------------- + + #[test] + fn test_cancel_query_flushes_deferred_drops() { + use std::sync::atomic::AtomicBool; + + // Tracks whether the captured state inside the spawned future was dropped. + struct DropSentinel(Arc); + impl Drop for DropSentinel { + fn drop(&mut self) { + self.0.store(true, Ordering::Release); + } + } + + let global = make_global_pool(10_000); + let ctx_id = 70_001; + let ctx = QueryTrackingContext::new(ctx_id, global, QueryType::Shard); + + // Build a dedicated executor with its own tokio runtime. + let mut builder = tokio::runtime::Builder::new_multi_thread(); + builder.worker_threads(2).enable_all(); + let exec = crate::executor::DedicatedExecutor::new("test-flush", builder, 2); + + // Store the runtime handle in the tracker (mirrors production path). + if let Some(rt) = exec.handle() { + set_cpu_runtime_handle(ctx_id, rt); + } + + // Spawn a task that holds the sentinel and blocks forever at an await. + let dropped = Arc::new(AtomicBool::new(false)); + let sentinel = DropSentinel(Arc::clone(&dropped)); + + let (abort_handle, _join_fut) = exec.spawn_with_abort_handle(async move { + let _hold = sentinel; // captured in the future's state + // Block forever — only abort can end this. + futures::future::pending::<()>().await; + }); + + if let Some(h) = abort_handle { + set_abort_handle(ctx_id, h); + } + + // Small delay to let the task actually park at the pending().await + thread::sleep(Duration::from_millis(10)); + + // Verify not yet dropped + assert!(!dropped.load(Ordering::Acquire), "sentinel should be alive before cancel"); + + // cancel_query aborts the task (marks it cancelled in the runtime) + cancel_query(ctx_id); + + // The abort is async — the task future may not be dropped yet. + // flush_cpu_runtime gives the runtime scheduling opportunities to + // process the abort and drop the future (freeing the sentinel). + flush_cpu_runtime(ctx_id); + + // After flush, the sentinel should have been dropped. + assert!( + dropped.load(Ordering::Acquire), + "sentinel must be dropped after flush — deferred drop was not processed" + ); + + drop(ctx); + exec.join_blocking(); + } + // ----------------------------------------------------------------------- // Top-N snapshot tests // ----------------------------------------------------------------------- From 34b0a79af162b2551061a8c04cfffb6f80ca7761 Mon Sep 17 00:00:00 2001 From: Finn Date: Fri, 19 Jun 2026 13:15:20 -0700 Subject: [PATCH 09/94] Return 400 with user-friendly error for unsupported functions (#22228) Replace IllegalStateException (500) with UnsupportedFunctionException (400) in planner rules when a function is not supported by any backend. The error message no longer leaks internal backend names. Before: 500 illegal_state_exception: No backend supports scalar function [MATCH] among [lucene, datafusion] After: 400 unsupported_function_exception: Function [MATCH] is not supported as a scalar function Signed-off-by: Finnegan Carroll Signed-off-by: Finn Carroll --- .../planner/UnsupportedFunctionException.java | 28 ++++++++ .../rules/OpenSearchAggregateRule.java | 10 +-- .../planner/rules/OpenSearchProjectRule.java | 15 ++-- .../analytics/planner/AggregateRuleTests.java | 13 ++-- .../analytics/planner/ProjectRuleTests.java | 24 +++---- .../analytics/qa/UnsupportedFunctionIT.java | 69 +++++++++++++++++++ 6 files changed, 130 insertions(+), 29 deletions(-) create mode 100644 sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/UnsupportedFunctionException.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/UnsupportedFunctionIT.java diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/UnsupportedFunctionException.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/UnsupportedFunctionException.java new file mode 100644 index 0000000000000..164e8f09eb0ea --- /dev/null +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/UnsupportedFunctionException.java @@ -0,0 +1,28 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.planner; + +import org.opensearch.OpenSearchException; +import org.opensearch.core.rest.RestStatus; + +/** + * Thrown when a query uses a function that is not currently supported by the analytics engine. + * Maps to HTTP 400 (Bad Request) since this is a user error, not a server error. + */ +public class UnsupportedFunctionException extends OpenSearchException { + + public UnsupportedFunctionException(String functionName, String context) { + super("Function [" + functionName + "] is not currently supported" + (context != null ? " " + context : "")); + } + + @Override + public RestStatus status() { + return RestStatus.BAD_REQUEST; + } +} diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchAggregateRule.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchAggregateRule.java index e988eaf9364e3..e03c8aa9cf19f 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchAggregateRule.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchAggregateRule.java @@ -19,6 +19,7 @@ import org.opensearch.analytics.planner.CapabilityRegistry; import org.opensearch.analytics.planner.PlannerContext; import org.opensearch.analytics.planner.RelNodeUtils; +import org.opensearch.analytics.planner.UnsupportedFunctionException; import org.opensearch.analytics.planner.rel.AggregateCallAnnotation; import org.opensearch.analytics.planner.rel.AggregateMode; import org.opensearch.analytics.planner.rel.OpenSearchAggregate; @@ -87,7 +88,7 @@ public void onMatch(RelOptRuleCall call) { AggregateCall aggCall = aggCalls.get(i); List callViable = resolveViableBackendsForCall(aggCall, childFieldStorage); if (callViable.isEmpty()) { - throw new IllegalStateException("No backend supports aggregate function [" + aggCall.getAggregation().getName() + "]"); + throw new UnsupportedFunctionException(aggCall.getAggregation().getName(), "as an aggregate function"); } callAnnotations.put(i, new AggregateCallAnnotation(callViable, context.nextAnnotationId())); } @@ -97,12 +98,7 @@ public void onMatch(RelOptRuleCall call) { if (viableBackends.isEmpty()) { List funcNames = aggCalls.stream().map(aggCall -> aggCall.getAggregation().getName()).toList(); - throw new IllegalStateException( - "No backend can execute aggregate: functions " - + funcNames - + " not supported by any viable backend among " - + childViableBackends - ); + throw new UnsupportedFunctionException(funcNames.toString(), "as aggregate functions in combination"); } LOGGER.debug("Aggregate viable backends: {} (child viable: {})", viableBackends, childViableBackends); diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchProjectRule.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchProjectRule.java index ab5e75e631fb8..7f6971ceec7dd 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchProjectRule.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchProjectRule.java @@ -20,6 +20,7 @@ import org.opensearch.analytics.planner.CapabilityRegistry; import org.opensearch.analytics.planner.PlannerContext; import org.opensearch.analytics.planner.RelNodeUtils; +import org.opensearch.analytics.planner.UnsupportedFunctionException; import org.opensearch.analytics.planner.rel.AnnotatedProjectExpression; import org.opensearch.analytics.planner.rel.OpenSearchProject; import org.opensearch.analytics.planner.rel.OpenSearchRelNode; @@ -91,7 +92,11 @@ public void onMatch(RelOptRuleCall call) { } if (viableBackends.isEmpty()) { - throw new IllegalStateException("No backend can execute all project expressions among " + childViableBackends); + List funcNames = annotatedExprs.stream() + .filter(e -> e instanceof RexCall) + .map(e -> ((RexCall) e).getOperator().getName()) + .toList(); + throw new UnsupportedFunctionException(funcNames.toString(), "in combination in this query"); } call.transformTo( @@ -131,7 +136,7 @@ private RexNode annotateExpr(RexNode expr, List childViableBackends) { if (isOpaqueOperation(funcName)) { List exprViable = resolveOpaqueViableBackends(funcName, childViableBackends); if (exprViable.isEmpty()) { - throw new IllegalStateException("No backend can evaluate [" + funcName + "] and no delegation path exists"); + throw new UnsupportedFunctionException(funcName, null); } return new AnnotatedProjectExpression(rexCall.getType(), rexCall, exprViable, context.nextAnnotationId()); } @@ -142,7 +147,7 @@ private RexNode annotateExpr(RexNode expr, List childViableBackends) { if (scalarViable.isEmpty()) { ScalarFunction resolved = ScalarFunction.fromSqlOperatorWithFallback(rexCall.getOperator()); String label = resolved != null ? resolved.name() : rexCall.getOperator().getName(); - throw new IllegalStateException("No backend supports scalar function [" + label + "] among " + childViableBackends); + throw new UnsupportedFunctionException(label, "as a scalar function"); } // Recurse into operands @@ -291,7 +296,7 @@ private static Set collectWindowFunctions(List narrowByWindowCapability(List candidates, Set aggregateCapabilities() { } }; PlannerContext context = buildContext("parquet", 1, intFields(), List.of(noAggFunctions)); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(makeAggregate(sumCall()), context)); - assertTrue(exception.getMessage().contains("No backend supports aggregate function")); + UnsupportedFunctionException exception = expectThrows( + UnsupportedFunctionException.class, + () -> runPlanner(makeAggregate(sumCall()), context) + ); + assertTrue(exception.getMessage().contains("is not currently supported")); } public void testAggregateViableBackendsIntersection() { @@ -270,11 +273,11 @@ protected Set aggregateCapabilities() { // No acceptedDelegations() override → delegation is refused. }; PlannerContext context = buildContext("parquet", 1, intFields(), List.of(dfNoSum, luceneWithSum)); - IllegalStateException exception = expectThrows( - IllegalStateException.class, + UnsupportedFunctionException exception = expectThrows( + UnsupportedFunctionException.class, () -> runPlanner(makeMultiCallAggregate(sumCall(), stddevCall()), context) ); - assertTrue(exception.getMessage().contains("No backend supports aggregate function")); + assertTrue(exception.getMessage().contains("is not currently supported")); } // ---- Helpers ---- diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/ProjectRuleTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/ProjectRuleTests.java index f64666b7f36ff..494f1d211da07 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/ProjectRuleTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/ProjectRuleTests.java @@ -118,8 +118,8 @@ public void testExpressionProjectionStillRequiresCapabilityWithoutDeclaration() LogicalProject project = LogicalProject.create(stubScan(table), List.of(), List.of(ceilExpr), List.of("ceil_v")); PlannerContext context = buildContext("parquet", nameValueFields(), List.of(new MockDataFusionBackend(), LUCENE)); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); - assertTrue(exception.getMessage().contains("No backend supports scalar function")); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); + assertTrue(exception.getMessage().contains("is not currently supported")); } // ---- Scalar functions ---- @@ -154,8 +154,8 @@ public void testUnsupportedScalarFunctionErrors() { LogicalProject project = LogicalProject.create(stubScan(table), List.of(), List.of(ceilExpr), List.of("casted")); PlannerContext context = buildContext("parquet", nameValueFields()); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); - assertTrue(exception.getMessage().contains("No backend supports scalar function")); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); + assertTrue(exception.getMessage().contains("is not currently supported")); } /** @@ -218,8 +218,8 @@ protected Set projectCapabilities() { List.of(DATAFUSION, luceneWithPainless) ); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); - assertTrue(exception.getMessage().contains("no delegation path exists")); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); + assertTrue(exception.getMessage().contains("is not currently supported")); } public void testMixedFieldAndPainlessWithDelegation() { @@ -384,10 +384,10 @@ protected Set windowCapabilities( List.of("name", "rn") ); PlannerContext context = buildContext("parquet", nameValueFields(), List.of(dfNoWindow, LUCENE)); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); assertTrue( "Expected planner to surface window-function capability gap, got: " + exception.getMessage(), - exception.getMessage().contains("No backend supports window functions") && exception.getMessage().contains("ROW_NUMBER") + exception.getMessage().contains("ROW_NUMBER") && exception.getMessage().contains("is not currently supported") ); } @@ -599,8 +599,8 @@ protected Set projectCapabilities() { List.of(dfWithDelegation, luceneAccepting, thirdBackend) ); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); - assertTrue(exception.getMessage().contains("no delegation path exists")); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); + assertTrue(exception.getMessage().contains("is not currently supported")); } public void testDelegationFailsWhenAcceptorRejectsDelegationType() { @@ -627,8 +627,8 @@ protected Set projectCapabilities() { List.of(dfWithDelegation, luceneWithPainlessNoAccept) ); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(project, context)); - assertTrue(exception.getMessage().contains("no delegation path exists")); + UnsupportedFunctionException exception = expectThrows(UnsupportedFunctionException.class, () -> runPlanner(project, context)); + assertTrue(exception.getMessage().contains("is not currently supported")); } // ---- Composed pipeline shapes ---- diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/UnsupportedFunctionIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/UnsupportedFunctionIT.java new file mode 100644 index 0000000000000..35e8cbf532eaf --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/UnsupportedFunctionIT.java @@ -0,0 +1,69 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.opensearch.client.Request; +import org.opensearch.client.ResponseException; +import org.opensearch.test.rest.OpenSearchRestTestCase; + +import java.io.IOException; + +/** + * Integration tests verifying that unsupported functions return HTTP 400 + * with a user-friendly error message. + */ +public class UnsupportedFunctionIT extends OpenSearchRestTestCase { + + private static boolean provisioned = false; + + @Override + protected boolean preserveIndicesUponCompletion() { + return true; + } + + private void ensureProvisioned() throws IOException { + if (provisioned == false) { + DatasetProvisioner.provision(client(), new Dataset("calcs", "calcs")); + provisioned = true; + } + } + + public void testUnsupportedScalarFunctionReturns400() throws Exception { + ensureProvisioned(); + + ResponseException e = expectThrows(ResponseException.class, () -> { + Request r = new Request("POST", "/_analytics/ppl"); + r.setJsonEntity("{\"query\": \"source=calcs | eval x = MATCH(str0, 'hello')\"}"); + client().performRequest(r); + }); + + assertEquals(400, e.getResponse().getStatusLine().getStatusCode()); + String body = new String(e.getResponse().getEntity().getContent().readAllBytes(), java.nio.charset.StandardCharsets.UTF_8); + assertTrue("error type should be unsupported_function_exception: " + body, + body.contains("unsupported_function_exception")); + assertTrue("error should mention function name MATCH: " + body, + body.contains("Function [MATCH] is not currently supported")); + } + + public void testUnsupportedScalarDoesNotLeakBackendNames() throws Exception { + ensureProvisioned(); + + ResponseException e = expectThrows(ResponseException.class, () -> { + Request r = new Request("POST", "/_analytics/ppl"); + r.setJsonEntity("{\"query\": \"source=calcs | eval x = MATCH(str0, 'hello')\"}"); + client().performRequest(r); + }); + + String body = new String(e.getResponse().getEntity().getContent().readAllBytes(), java.nio.charset.StandardCharsets.UTF_8); + assertFalse("error should not mention internal backend 'datafusion': " + body, + body.contains("datafusion")); + assertFalse("error should not mention internal backend 'lucene': " + body, + body.contains("lucene")); + } +} From abe02c5ff90f988f451a89c01d4752c793e17dfe Mon Sep 17 00:00:00 2001 From: Craig Perkins Date: Fri, 19 Jun 2026 23:43:58 -0400 Subject: [PATCH 10/94] Move serial filter initialization from Bootstrap to Node (#22245) Signed-off-by: Craig Perkins --- .../org/opensearch/bootstrap/Bootstrap.java | 16 +--------------- .../bootstrap/BootstrapSettings.java | 19 +++++++++++++++++++ .../main/java/org/opensearch/node/Node.java | 5 +++++ .../bootstrap/BootstrapSerialFilterTests.java | 8 ++++---- 4 files changed, 29 insertions(+), 19 deletions(-) diff --git a/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java b/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java index 6c0190ef55fc8..6fbd834dd3a4d 100644 --- a/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java +++ b/server/src/main/java/org/opensearch/bootstrap/Bootstrap.java @@ -70,7 +70,6 @@ import java.io.IOException; import java.io.InputStream; import java.io.InputStreamReader; -import java.io.ObjectInputFilter; import java.io.PrintStream; import java.io.UnsupportedEncodingException; import java.net.URISyntaxException; @@ -126,18 +125,9 @@ public void run() { * Gated behind the {@code bootstrap.serial_filter} setting (disabled by default). */ static void initializeSerialFilter() { - try { - ObjectInputFilter.Config.setSerialFilter(REJECT_ALL_FILTER); - } catch (IllegalStateException e) { - // Filter already set (e.g., via -Djdk.serialFilter system property or in tests) - LogManager.getLogger(Bootstrap.class).debug("Serial filter already initialized", e); - } + BootstrapSettings.initializeSerialFilter(); } - static final ObjectInputFilter REJECT_ALL_FILTER = filterInfo -> filterInfo.serialClass() == null - ? ObjectInputFilter.Status.UNDECIDED - : ObjectInputFilter.Status.REJECTED; - /** initialize native resources */ public static void initializeNatives(Path tmpFile, boolean mlockAll, boolean systemCallFilter, boolean ctrlHandler) { final Logger logger = LogManager.getLogger(Bootstrap.class); @@ -205,10 +195,6 @@ static void initializeProbes() { private void setup(boolean addShutdownHook, Environment environment) throws BootstrapException { Settings settings = environment.settings(); - if (BootstrapSettings.SERIAL_FILTER_SETTING.get(settings)) { - initializeSerialFilter(); - } - try { spawner.spawnNativeControllers(environment, true); } catch (IOException e) { diff --git a/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java b/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java index 665bcf87362de..a7e70136bc5d1 100644 --- a/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java +++ b/server/src/main/java/org/opensearch/bootstrap/BootstrapSettings.java @@ -32,9 +32,12 @@ package org.opensearch.bootstrap; +import org.apache.logging.log4j.LogManager; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Setting.Property; +import java.io.ObjectInputFilter; + /** * Settings used for bootstrapping OpenSearch * @@ -61,4 +64,20 @@ private BootstrapSettings() {} public static final Setting SERIAL_FILTER_SETTING = Setting.boolSetting("bootstrap.serial_filter", false, Property.NodeScope); + static final ObjectInputFilter REJECT_ALL_FILTER = filterInfo -> filterInfo.serialClass() == null + ? ObjectInputFilter.Status.UNDECIDED + : ObjectInputFilter.Status.REJECTED; + + /** + * Installs a process-wide ObjectInputFilter that rejects all Java deserialization by default. + * Code that needs deserialization can opt in by calling setObjectInputFilter on their stream. + */ + public static void initializeSerialFilter() { + try { + ObjectInputFilter.Config.setSerialFilter(REJECT_ALL_FILTER); + } catch (IllegalStateException e) { + LogManager.getLogger(BootstrapSettings.class).debug("Serial filter already initialized", e); + } + } + } diff --git a/server/src/main/java/org/opensearch/node/Node.java b/server/src/main/java/org/opensearch/node/Node.java index 341d7516d8e25..3af6070c628c1 100644 --- a/server/src/main/java/org/opensearch/node/Node.java +++ b/server/src/main/java/org/opensearch/node/Node.java @@ -60,6 +60,7 @@ import org.opensearch.arrow.spi.PoolGroup; import org.opensearch.bootstrap.BootstrapCheck; import org.opensearch.bootstrap.BootstrapContext; +import org.opensearch.bootstrap.BootstrapSettings; import org.opensearch.cluster.ClusterInfoService; import org.opensearch.cluster.ClusterManagerMetrics; import org.opensearch.cluster.ClusterModule; @@ -578,6 +579,10 @@ protected Node(final Environment initialEnvironment, Collection clas final Settings settings = pluginsService.updatedSettings(); + if (BootstrapSettings.SERIAL_FILTER_SETTING.get(settings)) { + BootstrapSettings.initializeSerialFilter(); + } + final List identityPlugins = new ArrayList<>(); identityPlugins.addAll(pluginsService.filterPlugins(IdentityPlugin.class)); diff --git a/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java b/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java index 80c69336eeb68..579b8fe535865 100644 --- a/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java +++ b/server/src/test/java/org/opensearch/bootstrap/BootstrapSerialFilterTests.java @@ -40,7 +40,7 @@ public class BootstrapSerialFilterTests extends OpenSearchTestCase { // or the framework already set it, the end-to-end tests are skipped. boolean installed = false; try { - ObjectInputFilter.Config.setSerialFilter(Bootstrap.REJECT_ALL_FILTER); + ObjectInputFilter.Config.setSerialFilter(BootstrapSettings.REJECT_ALL_FILTER); installed = true; } catch (IllegalStateException e) { // Already set @@ -51,16 +51,16 @@ public class BootstrapSerialFilterTests extends OpenSearchTestCase { // --- Unit tests for the filter logic (always run) --- public void testRejectAllFilterRejectsClasses() { - assertEquals(ObjectInputFilter.Status.REJECTED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(String.class))); + assertEquals(ObjectInputFilter.Status.REJECTED, BootstrapSettings.REJECT_ALL_FILTER.checkInput(filterInfo(String.class))); } public void testRejectAllFilterRejectsAnyClass() { - assertEquals(ObjectInputFilter.Status.REJECTED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(Runtime.class))); + assertEquals(ObjectInputFilter.Status.REJECTED, BootstrapSettings.REJECT_ALL_FILTER.checkInput(filterInfo(Runtime.class))); } public void testRejectAllFilterUndecidedForNullClass() { // null serialClass = stream metadata check (depth, bytes, refs), not a class resolution - assertEquals(ObjectInputFilter.Status.UNDECIDED, Bootstrap.REJECT_ALL_FILTER.checkInput(filterInfo(null))); + assertEquals(ObjectInputFilter.Status.UNDECIDED, BootstrapSettings.REJECT_ALL_FILTER.checkInput(filterInfo(null))); } // --- End-to-end tests showing actual runtime behavior --- From 3bff5f574d18faca44ba9ad7cbd56a67aa32b566 Mon Sep 17 00:00:00 2001 From: Rishabh Maurya Date: Fri, 19 Jun 2026 20:52:28 -0700 Subject: [PATCH 11/94] [Arrow Flight RPC] Make FlightServerChannel the sole owner of stream lifecycle and buffers (#22244) Server-side Flight streaming frees off-heap Arrow buffers and terminates the gRPC call from two unsynchronized threads: the producer runs serially on the flight executor, while a client cancellation (onChannelCancelled -> close()) is delivered concurrently on a gRPC thread. The previous split ownership between FlightOutboundHandler and FlightServerChannel, plus a non-atomic close(), made several interleavings unsafe: - double-close: close() used a non-atomic get-then-set, so two callers (gRPC cancel and release()) could both run notifyCloseListeners(), double-firing the TaskManager untrack listener -> AssertionError that kills the node. - use-after-free / leak: the handler transferred the producer root into the reused stream root and called putNext while a concurrent close() could free that same root (gRPC may still hold a zero-copy ref), or the producer could refill the reused root after close() had already freed it -> stranded. - source-root orphan: a batch built but never sent (back-pressure gate threw, executor rejected) freed nothing. - consumer hang: a failed batch send dropped the batch with no error frame, so the consumer's FlightStream.getRoot() blocked forever. This makes FlightServerChannel the sole owner of every Arrow buffer and of the gRPC stream lifecycle, using a single-writer model rather than synchronization: - The stream root and every serverStreamListener call (start/putNext/ completed/error) happen only on the channel's single-threaded flight executor, which serializes batch sends, completeStream/sendError, and the root free among themselves so none can interleave. - close() is fire-once via open.compareAndSet(true,false) and is a signal, not a buffer op: from any thread it flips open, fires close listeners, and posts the root free onto the flight executor. Because the executor is FIFO, the free runs only after any in-flight send completes; close() never touches Arrow buffers or gRPC from the caller (cancel) thread, so it cannot race an in-flight putNext and never blocks. This is deadlock-free by construction -- nothing is held across a gRPC/Arrow/blocking call. - sendBatch(response, headerSupplier) is the single send entry. It owns the native source root and frees it exactly once on every exit; the handler frees a never-handed-off batch via releaseUnsent (handedOff discipline). Batches queued behind a cancel reject at the cancelled guard and free their own source root. - the byte-serialized stream root is reused across batches and freed once at close(), never per batch (fixes the zero-copy use-after-free). - completeStream/sendError are terminal and idempotent (no-op after close/cancel/terminal), so a failed batch send fails the stream instead of hanging the consumer. - close-listener registration and firing are atomic (a leaf mutex) and fault-isolated. The one trade-off is that close() frees the stream root asynchronously (on the executor) rather than inline; on node shutdown a dropped free task leaks the root until process exit. Both are documented. Adds docs/channel-lifecycle-ownership.md describing the contract, and unit tests for the cancel-vs-in-flight-send race, batches queued behind a cancel, fire-once close, source-root freeing on every exit, byte-path reuse, terminal-op idempotency, and the hand-off discipline. Signed-off-by: Rishabh Maurya --- .../docs/channel-lifecycle-ownership.md | 448 ++++++++++++++++++ .../transport/FlightOutboundHandler.java | 138 ++++-- .../flight/transport/FlightServerChannel.java | 425 +++++++++++++---- .../transport/FlightOutboundHandlerTests.java | 387 ++++++++++++--- .../transport/FlightServerChannelTests.java | 436 ++++++++++++++++- 5 files changed, 1618 insertions(+), 216 deletions(-) create mode 100644 plugins/arrow-flight-rpc/docs/channel-lifecycle-ownership.md diff --git a/plugins/arrow-flight-rpc/docs/channel-lifecycle-ownership.md b/plugins/arrow-flight-rpc/docs/channel-lifecycle-ownership.md new file mode 100644 index 0000000000000..162d0fcb3a639 --- /dev/null +++ b/plugins/arrow-flight-rpc/docs/channel-lifecycle-ownership.md @@ -0,0 +1,448 @@ +# FlightServerChannel Lifecycle & Buffer-Ownership Contract + +## Purpose + +Server-side Arrow Flight streaming frees off-heap Arrow buffers and terminates a gRPC +call from **multiple unsynchronized threads at once**. Without a single, explicit +ownership model this produces several classes of bug: + +1. **Double-close crash** — `close()` runs its teardown twice, double-firing the + TaskManager cancellable-channel untrack listener → `AssertionError` (with `-ea`) that + kills the node. +2. **Stream-root use-after-free / double-free** — a concurrent cancel frees the reused + stream root while the producer is mid-`transferRoot` or mid-`putNext` (gRPC still holds + a zero-copy reference). +3. **Stream-root / source-root leak** — buffers transferred into the reused root after a + concurrent close, or a source root for a batch whose send never runs, are owned by + nobody. +4. **Consumer hang** — a batch send fails, the batch is dropped, no schema frame ever + reaches the client, and the consumer's `FlightStream.getRoot()` blocks forever. + +This document is the **authoritative model**. It was validated by an exhaustive +case-sweep (98 enumerated cases across buffer / thread-interleaving / method-exit / +lifecycle-state axes; 64 confirmed defects in the current code, collapsing to **12 +distinct root-cause classes** — see §9). The implementation in `FlightServerChannel` and +`FlightOutboundHandler` MUST conform to it, and §9's coverage matrix MUST stay true. + +--- + +## 1. Threads + +All concurrency reduces to **three** thread classes per channel. The distinction between the +first two is load-bearing: the gap between them is where source roots can orphan (§6 S7). + +| Name | What it is | What it runs | +|------|------------|--------------| +| **`T_caller`** | The producer's calling thread (e.g. a `SEARCH` worker) inside `FlightOutboundHandler.sendResponseBatch`. | `awaitReadyOrThrow()` (the back-pressure gate) and `executor.execute(task)`. **This is where a batch is built but not yet handed to the channel.** | +| **`T_exec`** | The channel's **single-thread** flight executor (`FlightTransport.getNextFlightExecutor()`). | Everything the handler submits: `processBatchTask`→`sendBatch`, `processCompleteTask`→`completeStream`, `processErrorTask`→`sendError`, `failStream`. Also `ArrowFlightProducer.getStream`'s bootstrap. | +| **`T_grpc`** | gRPC's cancel-delivery thread (`cancelExecutor` in `JumpToApplicationThreadServerStreamListener`). | `onChannelCancelled()` → `close()`. | + +**Key consequences:** +- The flight executor is single-threaded, so **no two `T_exec` ops run concurrently with + each other.** Genuine concurrency is only `T_caller`/`T_exec`/bootstrap **vs** `T_grpc`. +- `T_caller` and `T_exec` are **different threads**: a batch can be parked in the gate on + `T_caller` while a *prior* batch runs on `T_exec`. The window between "batch built on + `T_caller`" and "`sendBatch` runs on `T_exec`" is where source roots orphan (§6 S7). + +### Single-writer model + +The stream root is the only state genuinely contended across threads: `T_exec` *uses* it +during transfer/`putNext`, while a cancel wants to *free* it. The channel resolves this by +**confining the root to a single thread** rather than synchronizing access to it: + +- **The stream `root` and every `serverStreamListener` call live only on `T_exec`** — created, + filled, and freed there. Because the executor is single-threaded, batch sends, terminal ops, + and the root free are serialized by the executor itself; none can interleave. +- **`close()` is a signal, not a buffer operation.** From any thread it flips `open` once + (CAS), fires close listeners, and **posts the root free onto `T_exec`**: + `executor.execute(() -> { if (root != null) { root.close(); root = null; } })`. Because the + executor is FIFO, that free runs *after* any in-flight send completes. `close()` touches no + Arrow buffers and no gRPC from the caller's (possibly `T_grpc`) thread. + +**This is deadlock-free by construction:** nothing is ever held across a gRPC/Arrow/blocking +call. The only mutex (`closeListenerMutex`, §4) is a leaf — its critical section only mutates an +`ArrayList`. `close()` from `T_grpc` never blocks: `execute()` enqueues and returns. There is no +waits-for cycle to construct. The single invariant a future change must preserve is the +self-evident **"`root` and `serverStreamListener` are touched only on the flight executor."** + +The one trade-off is that `close()` frees the root **asynchronously** (on the executor) rather +than inline — see §10. + +--- + +## 2. Roles & responsibilities + +| Component | Role | Owns | MUST NOT | +|-----------|------|------|----------| +| **`FlightServerChannel`** | **Sole owner** of all Arrow buffers and the gRPC stream lifecycle. The only place a root is freed and the only place a terminal gRPC op is issued. | stream `root`, gRPC listener, `terminalSent`, close listeners | leak/double-free a root; issue two terminal ops; act on the stream after terminal or after `cancelled` | +| **`FlightOutboundHandler`** | **Stateless translator/dispatcher.** Thread-switch onto `T_exec`, back-pressure gate, translate response→channel call, relay outcome. Owns the **hand-off discipline** (§3) for the source root until the channel takes it. | nothing persistent | touch/free the *stream* root; call `close()` directly; serialize a response itself | +| **`FlightTransportChannel`** | Thin framework adapter. `release()` → `channel.close()`. | nothing | contain its own close/idempotency logic | +| **`ArrowFlightProducer`** | Per-call bootstrap. May `close()` on early/inbound errors. | nothing | assume "double close is harmless" without the channel guaranteeing it | +| **`T_grpc` (cancel)** | Signals cancellation → `close()`. | — | — | + +**Pivotal rule:** the handler hands the channel a `TransportResponse` and a **header +supplier**, and receives back success or an exception. It never frees the *stream* root, +never serializes the header itself, and never closes the channel directly. Its one buffer +responsibility is the **source-root hand-off** (§3.1). + +--- + +## 3. Buffer ownership — every buffer freed exactly once + +| Buffer | Created by | Freed by | When | +|--------|-----------|----------|------| +| **Source root** — `ArrowBatchResponse.getRoot()`, the producer's per-batch native batch | the caller/producer | **the channel** — via `sendBatch`'s `finally` if handed off, else via `channel.releaseUnsent(response)` on the failed-handoff path (§3.1) | exactly once | +| **Stream root** — the single reused VSR (native *or* byte) sent on the wire | the channel, lazily on the first batch | **the channel**, in `close()` only | terminal, exactly once | +| **Metadata buf** — per-batch app metadata on the Flight frame | the channel, per batch | gRPC via `putNext(ArrowBuf)`, or the channel if `putNext` throws before hand-off (§3.3) | handoff | +| **Byte-serialization vector** — the `VarBinary` vector of the byte stream root | the channel (it *is* the stream root's vector) | **the channel**, in `close()` | terminal, exactly once — **never per-batch** (§3.2) | + +**Zero-copy retention:** native stream-root buffers are **not** freed right after `putNext` +— gRPC may still hold zero-copy refs. They are freed once, at `close()`, after the +framework's release boundary. The reused stream root lives from the first batch until +`close()`. + +### 3.1 Source-root hand-off discipline (closes S7 — the orphan class) + +The source root has **two** potential free sites on **two** threads, and the gap between +them is unguarded. Ownership transfers to the channel at **`sendResponseBatch` entry**, and +the handler guarantees the source is freed in **exactly one** of two mutually-exclusive +places via a `handedOff` flag: + +``` +sendResponseBatch(response, ...): // T_caller + handedOff = false + try: + if (!(channel instanceof FlightServerChannel)) { relay error; return; } // handedOff stays false + flightChannel.awaitReadyOrThrow() // may throw CANCELLED/TIMED_OUT + flightChannel.getExecutor().execute(task) // may throw RejectedExecutionException + handedOff = true // sendBatch now owns it; its finally frees it + finally: + if (!handedOff) flightChannel.releaseUnsent(response) // free here, exactly once +``` + +- **Handed off** → `sendBatch` runs on `T_exec` → its `finally` frees the source (§3.4). +- **Not handed off** (gate throws, `execute` rejects, or wrong-channel-type early return) + → handler frees via `releaseUnsent`. +- Mutually exclusive ⇒ **freed exactly once.** + +`releaseUnsent(response)` is a channel method (keeps "only the channel frees Arrow +buffers" intact): it closes `response.getRoot()` **iff** `response instanceof +ArrowBatchResponse` (the byte path has no off-heap source). It does not touch the stream +root or lifecycle. + +> A second hand-off gap is **inside** `processBatchTask` on `T_exec`: `getHeaderBuffer` +> (which `throws IOException`) and `VectorSchemaRoot.create`/`transferRoot` can throw +> **before** the channel adopts the source. This is handled inside `sendBatch` itself +> (§3.4), not by the handler — see the unified single-entry contract in §5. + +### 3.2 Byte path: stream-root vector freed once, never per-batch + +The byte-serialized `VectorStreamOutput.ByteSerialized` vector **is** the stream root's +`VarBinary` vector once adopted. Freeing it per batch (today's `try (out)`) frees buffers +gRPC may still be draining (zero-copy) and races `close()`. The channel reuses the vector +across batches (`reset()`/`setValueCount(0)`) and frees it once in `close()`. +`ByteSerialized.close()` must free **only** a vector it itself created (the first-batch, +`existingRoot==null` case); when adopting the channel's existing root it releases nothing. + +### 3.3 Metadata buf: freed if `putNext` throws before hand-off + +``` +buf = allocator.buffer(len); buf.writeBytes(metadata) +try { listener.putNext(buf) } catch (t) { if (buf.refCnt() > 0) buf.close(); throw t } +``` +Covers the windows where Flight never adopts the buffer (`waitUntilStreamReady` throw, +`ArrowMessage` ctor throw). The `refCnt()` guard tolerates the narrow `onNext`-throw +subwindow where Flight's `ArrowMessage.close()` already released it. + +### 3.4 Source-root free inside `sendBatch` (covers transfer/create/header throws) + +``` +finally: if (native && sourceRoot != null) sourceRoot.close() +``` +The native source root is owned exclusively by this `sendBatch` call, so it is freed +**unconditionally** in the `finally` on every exit: after a successful transfer it is empty +(close is a buffer no-op), and on any throw before the transfer — empty-field-vectors check, +`VectorSchemaRoot.create` OOM, `transferRoot` mid-loop, the header build — it still holds its +buffers (close frees them). **A bare `producerRoot.close()` on the happy path plus a catch-only +cleanup is insufficient** (today's bug): the free must be in a `finally` covering every exit. +On the native **first batch**, the freshly-created stream root is freed by +`transferIntoStreamRoot`'s own try/finally if transfer fails before adoption, so an un-adopted +stream root cannot leak before becoming `root`. + +### 3.5 Adopted stream root after a non-`Exception` `Throwable` in `sendBatch` + +`serverStreamListener.start`/`putNext` and `transferRoot` can throw a non-`Exception` +`Throwable` — `OutOfMemoryError` under memory pressure, or an `AssertionError` from Arrow/gRPC +under `-ea`. If this happens **after** the stream root is adopted (`root != null`), +`sendBatch`'s `finally` frees only the *source* root; the *stream* root is freed only by +`close()`. The batch task is non-terminal, so `BatchTask.close()` does not release the channel — +nothing would call `close()` and the adopted stream root would leak. `processBatchTask` therefore +catches `Throwable` (after `FlightRuntimeException`/`Exception`) and routes it through `failStream` +(which releases the channel → `close()` posts the stream-root free) and reports it to the message +listener (wrapped to honour the listener's `Exception` contract) rather than letting it escape and +kill the executor worker. `failStream` closes the channel directly when there is no transport +channel, so `close()` runs on every variant. + +```java +private final AtomicBoolean open; // "resources not yet freed"; flips true→false ONCE via CAS +private volatile boolean cancelled; // set once by T_grpc in onChannelCancelled +private volatile VectorSchemaRoot root; // reused native|byte stream root; T_exec-confined; nulled after free +private boolean terminalSent; // completed() XOR error() issued; T_exec-confined +private final Object closeListenerMutex; // leaf mutex: guards closeListeners + closeListenersFired only +private final List> closeListeners; +private boolean closeListenersFired; // guarded by closeListenerMutex +``` + +- **`open`** — the teardown gate. `compareAndSet(true,false)` admits **exactly one** thread + into teardown; every other `close()` caller returns immediately. The CAS winner is the sole + poster of the root free and sole firer of close listeners. **Thread-agnostic.** +- **`cancelled`** — "client gone; gRPC already terminated the call." Read by `sendBatch`, + `completeStream`, `sendError` to reject/no-op. +- **`root`** — touched **only on `T_exec`** (created, filled, freed there). `volatile` only so the + test-only `getRoot()` reads a consistent reference; correctness rests on executor confinement, + not volatility. Nulled immediately after free so nothing re-frees or re-fills it. +- **`terminalSent`** — `T_exec`-confined; at most one terminal gRPC op per stream. +- **`closeListenerMutex`** — a leaf mutex; its critical section only mutates the listener list + + `closeListenersFired`, never a gRPC/Arrow/blocking call. It is the *only* mutex in the class. + +### Invariants (must hold under every interleaving) + +1. `notifyCloseListeners()` runs **exactly once** (CAS winner only) → TaskManager untrack + fires once → no `AssertionError`, any thread, any order. +2. `root.close()` runs **exactly once** — only in the free task the CAS-winning `close()` posts + to `T_exec`; `root` is nulled there. (If a send adopted no root, the task is a no-op.) +3. **At most one terminal gRPC op** (`completed` XOR `error`) per stream, and **never after + `cancelled`** (`completeStream`/`sendError` check `cancelled`, both on `T_exec`). +4. **No root freed under an in-flight send** — the free runs on `T_exec` behind any in-flight + send by the executor's FIFO ordering; root use and root free never overlap (single-writer). +5. **No source root leaked or double-freed** — freed exactly once via §3.1 (handoff) + + §3.4 (in-send `finally`), mutually exclusive. +6. **No deadlock** — no lock is held across any gRPC/Arrow/blocking call; the only mutex + (`closeListenerMutex`) is a leaf; `close()` only `execute()`s and returns. No waits-for cycle. +7. **Close-listener registration is safe** — `addCloseListener` either fires immediately + (listeners already fired) or enqueues under `closeListenerMutex`, with no lost/duplicate fire. +8. **A throwing close listener cannot skip the rest** — `notifyCloseListeners` isolates each + listener in try/catch so one failure can't strand TaskManager untrack. +9. **Single-writer invariant (the property future changes must preserve):** `root` and every + `serverStreamListener` call are touched **only on `T_exec`**. + +--- + +## 5. Method contracts + +All of `sendBatch`/`completeStream`/`sendError` run on `T_exec` and take **no lock** — the +single-threaded executor serializes them with each other and with the `close()`-posted root free. + +### `sendBatch(TransportResponse response, CheckedSupplier header)` — `T_exec`, no lock + +Single entry; native vs byte decided **inside** the channel. The header is built via a +supplier invoked **before any root is mutated**, so a header-build `IOException` fails fast — +the source is freed by the `finally` and no stream root is adopted. The handler never +serializes. The native source root is freed once on every exit by the outer `finally` +(unconditional: empty after a successful transfer → close is a no-op; full on an early throw → +close frees it). + +``` +sourceRoot = (response instanceof ArrowBatchResponse) ? response.getRoot() : null +try: + if (cancelled) throw StreamException.cancelled(...) // reject → finally frees source + if (!open.get()) throw IllegalStateException(...) // reject → finally frees source + firstBatch = (root == null) + hdr = header.get() // built FIRST; throw → finally, no root mutated + if (native): + if (firstBatch) root = create VSR from sourceRoot's allocator // create+transfer guarded so an + VectorTransfer.transferRoot(sourceRoot -> root) // un-adopted first root can't leak + else (byte): + if (firstBatch) root = new VarBinary VSR + else reset root's vector + response.writeTo(serializer over root) + if (firstBatch): middleware.setHeader(hdr); listener.start(root) + if (metadata != null): buf=alloc; writeBytes; try{ listener.putNext(buf) } catch(t){ buf.close(); throw t } + else: listener.putNext() + batchNumber++; record stats +finally: + if (native && sourceRoot != null) sourceRoot.close() // every exit frees source ONCE +``` + +### `completeStream(CheckedSupplier header)` — terminal, idempotent, `T_exec`, no lock + +``` +if (!open.get() || cancelled || terminalSent) { record/log; return; } // benign no-op +if (root == null) middleware.setHeader(header.get()) // empty stream +listener.completed(); terminalSent = true +recordCallEnd(OK) +``` +Does **not** free `root` (free deferred to `close()`, §3 retention). The `cancelled` guard +closes the "terminal-after-cancel" race. + +### `sendError(CheckedSupplier header, Exception error)` — terminal, idempotent, `T_exec`, no lock + +``` +if (!open.get() || cancelled || terminalSent) { record/log; return; } // benign no-op +flightExc = map(error); middleware.setHeader(header.get()) +listener.error(flightExc); terminalSent = true +recordCallEnd(mapped) +``` + +### `releaseUnsent(TransportResponse response)` — `T_caller`/`T_exec` failed-handoff (§3.1) + +``` +if (response instanceof ArrowBatchResponse r && r.getRoot() != null) r.getRoot().close(); +// never touches stream root, terminalSent, or open +``` + +### `close()` — fire-once, idempotent, ANY thread + +``` +if (!open.compareAndSet(true, false)) return; // losers exit at the door +executor.execute(() -> { if (root != null) { root.close(); root = null; } }) // free ON T_exec, behind any send +// (catch RejectedExecutionException on shutdown — see §10) +notifyCloseListeners(); // runs exactly once; touches no Arrow buffers +``` +`close()` posts the root free to `T_exec` rather than freeing inline, so it never touches Arrow +buffers or gRPC from the (possibly `T_grpc`) caller thread, and the free runs behind any +in-flight send by the executor's FIFO ordering. + +### `addCloseListener(listener)` — registration atomic vs `notifyCloseListeners` + +``` +synchronized (closeListenerMutex): + alreadyFired = closeListenersFired + if (!alreadyFired) closeListeners.add(listener) +if (alreadyFired) listener.onResponse(null) // fire outside the mutex +``` +Prevents the register-vs-fire race (lost fire / double fire). + +### `notifyCloseListeners()` — fault-isolated + +``` +synchronized (closeListenerMutex): snapshot = copy(closeListeners); clear(); closeListenersFired = true +for (l : snapshot) try { l.onResponse(null) } catch (e) { log; continue } // one throw can't strand others +``` + +### `onChannelCancelled()` — `T_grpc` + +``` +if (cancelled) return; +cancelled = true; recordCallEnd(CANCELLED); close(); +``` + +--- + +## 6. Scenario walk-through + +`✓` = happens exactly once / as intended. + +- **S1 Normal multi-batch success** — `sendBatch×N` (each frees its source ✓) → + `completeStream` (`completed()` ✓) → `release()→close()` (free root ✓, notify ✓). +- **S2 App error / batch-send failure** — send throws → `sendError` (`error()` ✓) → + `release()→close()`. Consumer gets an error frame, no hang. +- **S3 Client cancel, idle channel** — `T_grpc close()` frees root ✓, notify ✓. Later queued + `sendBatch` sees `cancelled` → throws → `finally` frees source ✓. Later + `completeStream`/`sendError` → `cancelled` no-op ✓. +- **S4 Cancel races an in-flight `sendBatch` (UAF/double-free)** — `T_exec` is mid + transfer+`putNext` (occupying the single executor thread); `T_grpc close()` wins the CAS, + **posts the root free onto the busy executor**, and returns without touching buffers. The + free runs only after `sendBatch` finishes (FIFO) → frees root ✓ strictly after `putNext`. No + UAF, freed once, notify once. +- **S5 Cancel races a `release()`-driven close (the crash)** — both call `close()`; + `compareAndSet` admits one; the other returns. notify once ✓ → no `AssertionError`. +- **S6 Early/inbound error in `getStream`** — `listener.error` then `channel.close()`; CAS + admits one closer even if `T_grpc` also cancels ✓. +- **S7 Cancel/timeout while a batch is parked in the gate (the orphan)** — + `awaitReadyOrThrow()` throws on `T_caller` **before** `execute`; `handedOff==false` → + handler's `finally` calls `releaseUnsent` → source freed ✓. Same for `execute` rejection + and the wrong-channel early return. +- **S8 `getHeaderBuffer`/`transferRoot`/`create` throws inside `sendBatch`** — lands in the + `finally`; source freed once ✓; no stream root adopted (or freed by a later `close()` if + adopted). No orphan. +- **S9 Byte multi-batch + cancel** — vector reused across batches on `T_exec`; freed once at + `close()` (on `T_exec`, behind any send) ✓; no per-batch free, no write-vs-free race. +- **S10 Non-`Exception` `Throwable` after stream-root adoption** — `putNext`/`start`/transfer + throws OOM/`AssertionError` once `root != null`. `sendBatch`'s `finally` frees the source ✓; + `processBatchTask`'s `catch (Throwable)` runs `failStream` → channel released → `close()` posts + the stream-root free ✓; listener notified, worker survives. No leak (§3.5). + +--- + +## 7. Design decisions (explicit) + +1. **Terminal op separate from root-free.** `completeStream`/`sendError` issue the gRPC + terminal op and set `terminalSent`; `root` is freed later in `close()`, preserving the + zero-copy drain window. (Folding free into `completeStream` shrinks that window — not + chosen.) +2. **Single `sendBatch(response, headerSupplier)` entry.** Native/byte decided in the + channel; the handler never touches a stream root and never serializes the header. +3. **Header built by the channel via a supplier, before any root is mutated.** This is + correctness-critical (not cosmetic): `getHeaderBuffer` throws `IOException`, and building it + inside `sendBatch` puts that throw inside the source-freeing `finally` — and building it + before the transfer means a header failure adopts no stream root. +4. **Single-writer confinement, not synchronization.** The stream root and all + `serverStreamListener` calls are confined to the flight executor; `close()` posts the root + free there rather than coordinating concurrent access to it. This makes the design + deadlock-free by construction (nothing is held across a gRPC/Arrow call) at the cost of an + asynchronous root free (§10). The invariant future changes must keep is the self-evident + "root is touched only on the executor." + +--- + +## 8. Relationship to the consumer-hang fix (PR #22117) + +PR #22117 fixes **S2's symptom** (a failed batch send calls `sendError`+release so the +consumer gets an error, not a hang) and relocates the native transfer into the channel. +That behaviour is preserved here. What this contract adds is the **concurrency safety** PR +#22117 lacks: it leaves `close()` non-atomic and the stream root accessible from both the +producer and the gRPC cancel thread, so S4 (UAF/double-free) and S5 (crash) remain reachable — +and its new `failStream → releaseChannel → close()` adds *another* concurrent `close()` caller. +This model closes S4/S5/S7–S9 while keeping S2 fixed. + +--- + +## 9. Coverage matrix — the 12 distinct root-cause classes + +The case-sweep confirmed 64 defects in the current code; verified-and-deduplicated they are +12 classes. Each MUST map to a model mechanism. (`#` = confirmed-defect count folded in.) + +| # | Root-cause class | Sev | Bug type | Closed by | +|---|------------------|-----|----------|-----------| +| 1 | Non-atomic `close()` double-entry → double-free root + double `notifyCloseListeners` (crash) | blocker | crash/double-free | `open.compareAndSet` (inv 1,2); S5 | +| 2 | Cancel frees stream root mid-`transferRoot`/`putNext` (UAF) | blocker | UAF | single-writer: root free posted to `T_exec`, behind any send (inv 4); S4 | +| 3 | Cancel after transfer-into-reused-root, send rejects → transferred buffers leak; `root` never nulled | blocker | leak/UAF | gate **before** transfer + null-after-free; free serialized on `T_exec` (inv 2,4); S4 | +| 4 | Source root orphaned when send never runs: gate throw / `execute` reject / wrong-channel return | blocker | leak | `handedOff` + `releaseUnsent` (§3.1, inv 5); S7 | +| 5 | Source root orphaned inside `sendBatch`: `getHeaderBuffer`/`create`/`transferRoot` throw | major | leak | header built before transfer + `finally` frees source (§3.4, §5); S8 | +| 6 | Byte path: per-batch `out.close()` frees reused vector (UAF vs zero-copy & vs cancel) | blocker | UAF | channel owns vector, freed once in `close()` (§3.2); S9 | +| 7 | Terminal-after-cancel: `completeStream`/`sendError` issue terminal op after cancel | major | illegal transition | `cancelled` guard (inv 3) | +| 8 | Metadata buf leaked when `putNext` throws before hand-off | minor | leak | try/catch + `refCnt` close (§3.3) | +| 9 | `addCloseListener` races `close()` flip+clear → lost fire / CME / tracker-map leak | major | leak/visibility | atomic registration (inv 7, §5) | +| 10 | Throwing close listener strands remaining listeners (TaskManager untrack skipped) | minor | leak | per-listener try/catch (inv 8, §5) | +| 11 | `shutdownNow` drops queued tasks undrained → source roots leak | minor | leak (shutdown-only) | **documented limitation** — node teardown; OS reclaims on exit (§10) | +| 12 | Wrong-channel-type / NOOP-listener early returns (defensive `instanceof`) | info | n/a | covered by §3.1 handoff (handedOff stays false → `releaseUnsent`) | +| 13 | Non-`Exception` `Throwable` (OOM / `AssertionError`) from `start`/`putNext`/transfer **after** stream-root adoption → `processBatchTask` only caught `Exception`, so the channel was never released → adopted stream root leaks | major | leak | `catch (Throwable)` in `processBatchTask` routes through `failStream` (releases channel → `close()` frees the root) + notifies the listener; `failStream` closes the channel directly when there is no transport channel (§3.5); S10 | + +--- + +## 10. Known limitations (not closed by this model) + +- **Asynchronous stream-root free (a consequence of the single-writer choice).** Because + `close()` posts the root free onto the flight executor, the buffers are freed slightly after + `close()` returns, not inline. Functionally this is the point (it serializes the free behind + any in-flight send), but two implications follow: (a) tests asserting allocator state after + `close()` must drain the executor first; (b) if the executor is already shut down when + `close()` runs, the `execute()` is rejected and the stream root is not freed — see the next + bullet. This is the deliberate trade the single-writer model makes for being deadlock-free by + construction (§1, §7 decision 4). +- **Node-shutdown drain gap.** On `executor.shutdownNow()`, queued tasks — including a + `close()`-posted root free, and any never-run `BatchTask`s — are dropped without running, so + their roots are not freed. Likewise, if `close()`'s `executor.execute(...)` is rejected + (executor already shut down), the root free never runs; `close()` logs this at **WARN** (not + debug) so the shutdown-time leak is visible. We deliberately do **not** free the root inline on + rejection: a rejection from `shutdown()` refuses new tasks while an already-running send may + still be touching the root on the executor thread, so freeing from the (possibly gRPC) caller + thread would reintroduce the use-after-free this model prevents. This is **shutdown-only** (the + node is stopping; the OS reclaims off-heap memory on process exit), so impact is limited to + noisy Arrow leak assertions / test flakiness, not a sustained production leak. Closing it fully + would require draining queued tasks before `shutdownNow`; tracked separately. +- **Final-frame zero-copy drain.** Whether gRPC can still hold a reference to the *last* + frame's buffers when `close()` frees `root` is a pre-existing concern with the same shape + in today's code; out of scope here. +``` diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java index 9841a3b376a6d..51a41539abaef 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java @@ -9,11 +9,10 @@ package org.opensearch.arrow.flight.transport; import org.apache.arrow.flight.FlightRuntimeException; -import org.apache.arrow.vector.FieldVector; -import org.apache.arrow.vector.VectorSchemaRoot; +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.apache.logging.log4j.message.ParameterizedMessage; import org.opensearch.Version; -import org.opensearch.arrow.transport.ArrowBatchResponse; -import org.opensearch.arrow.transport.VectorTransfer; import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.common.io.stream.BytesStreamOutput; import org.opensearch.core.common.bytes.BytesReference; @@ -31,15 +30,27 @@ import java.io.IOException; import java.nio.ByteBuffer; -import java.util.List; import java.util.Set; /** * Outbound handler for Arrow Flight streaming responses. - * It must invoke messageListener and relay any exception back to the caller and not supress them + * + *

This handler is a stateless translator: it switches onto the channel's flight executor, gates + * on back-pressure, and hands each {@link TransportResponse} to {@link FlightServerChannel}. It does + * not own or free the stream root and never closes the channel directly — the channel is the sole + * owner of all Arrow buffers (see {@code docs/channel-lifecycle-ownership.md}). + * + *

Its one buffer responsibility is the source-root hand-off: ownership of a native + * response's root transfers to the channel when {@link #sendResponseBatch} is called, and the handler + * guarantees it is freed exactly once — by {@link FlightServerChannel#sendBatch} once the batch is + * handed off, or by {@link FlightServerChannel#releaseUnsent} if the batch never reaches the channel + * (the back-pressure gate threw or the executor rejected the task). + * + *

It must invoke the messageListener and relay any exception back to the caller and not suppress them. * @opensearch.internal */ class FlightOutboundHandler extends ProtocolOutboundHandler { + private static final Logger logger = LogManager.getLogger(FlightOutboundHandler.class); private volatile TransportMessageListener messageListener = TransportMessageListener.NOOP_LISTENER; private final String nodeName; private final Version version; @@ -127,23 +138,38 @@ public void sendResponseBatch( ); if (!(channel instanceof FlightServerChannel flightChannel)) { + // Defensive: this transport always uses FlightServerChannel. There is no channel to take + // ownership, so free the source here so it cannot leak. + FlightServerChannel.releaseUnsentSource(response); messageListener.onResponseSent(requestId, action, new IllegalStateException("Expected FlightServerChannel")); return; } - // Block the producer thread before queuing the batch so a slow consumer throttles - // allocation rather than letting the eventloop's queue grow. Note: isReady() - // reflects only gRPC's outbound buffer, not our own queue depth — see - // docs/backpressure.md "Known limitation: unbounded eventloop queue". - flightChannel.awaitReadyOrThrow(); + // The channel owns the response's buffers from this point. The batch is freed exactly once: + // either sendBatch runs on the executor (its finally frees the source), or it never does + // (gate throws / executor rejects) and releaseUnsent frees it here. The handedOff flag keeps + // these two paths mutually exclusive. + boolean handedOff = false; + try { + // Block the producer thread before queuing the batch so a slow consumer throttles + // allocation rather than letting the eventloop's queue grow. Note: isReady() + // reflects only gRPC's outbound buffer, not our own queue depth — see + // docs/backpressure.md "Known limitation: unbounded eventloop queue". + flightChannel.awaitReadyOrThrow(); - flightChannel.getExecutor().execute(threadPool.getThreadContext().preserveContext(() -> { - try (BatchTask ignored = task) { - processBatchTask(task); - } catch (Exception e) { - messageListener.onResponseSent(requestId, action, e); + flightChannel.getExecutor().execute(threadPool.getThreadContext().preserveContext(() -> { + try (BatchTask ignored = task) { + processBatchTask(task); + } catch (Exception e) { + messageListener.onResponseSent(requestId, action, e); + } + })); + handedOff = true; + } finally { + if (handedOff == false) { + flightChannel.releaseUnsent(response); } - })); + } } private void processBatchTask(BatchTask task) { @@ -154,38 +180,60 @@ private void processBatchTask(BatchTask task) { } try { - VectorStreamOutput out; - byte[] metadata = null; - if (task.response() instanceof ArrowBatchResponse arrowResponse) { - metadata = arrowResponse.getMetadata(); - // Native Arrow path: zero-copy transfer producer's vectors into stream root - VectorSchemaRoot streamRoot = flightChannel.getRoot(); - if (streamRoot == null) { - // Create stream root using the producer's allocator for same-allocator transfer. - // This avoids an Arrow bug where cross-allocator transferOwnership of foreign-backed - // buffers (from C data import) doesn't properly free the ArrowArray C struct. - // The producer's allocator must be long-lived (not closed per-request). - List fieldVectors = arrowResponse.getRoot().getFieldVectors(); - if (fieldVectors.isEmpty()) { - throw new IllegalStateException("Native Arrow batch has no field vectors"); - } - streamRoot = VectorSchemaRoot.create(arrowResponse.getRoot().getSchema(), fieldVectors.getFirst().getAllocator()); - } - VectorTransfer.transferRoot(arrowResponse.getRoot(), streamRoot); - arrowResponse.getRoot().close(); - out = VectorStreamOutput.forNativeArrow(streamRoot); - } else { - out = VectorStreamOutput.create(flightChannel.getAllocator(), flightChannel.getRoot()); - task.response().writeTo(out); - } - try (out) { - flightChannel.sendBatch(getHeaderBuffer(task.requestId(), task.nodeVersion(), task.features()), out, metadata); - messageListener.onResponseSent(task.requestId(), task.action(), task.response()); - } + // The channel owns the stream root end to end (create/transfer/adopt/free) and builds the + // header itself before mutating any root, so a header-serialization failure cannot orphan the source. + flightChannel.sendBatch(task.response(), () -> getHeaderBuffer(task.requestId(), task.nodeVersion(), task.features())); + messageListener.onResponseSent(task.requestId(), task.action(), task.response()); } catch (FlightRuntimeException e) { + // Fail the stream before notifying the listener so the consumer surfaces an error instead + // of blocking forever on a never-arriving first frame. + failStream(flightChannel, task, e); messageListener.onResponseSent(task.requestId(), task.action(), FlightErrorMapper.fromFlightException(e)); } catch (Exception e) { + failStream(flightChannel, task, e); messageListener.onResponseSent(task.requestId(), task.action(), e); + } catch (Throwable t) { + // A non-Exception Throwable (e.g. OutOfMemoryError, or an AssertionError from Arrow/gRPC + // under -ea) can be thrown by start()/putNext()/transfer AFTER the channel adopted the + // stream root. The batch task is non-terminal, so BatchTask.close() does not release the + // channel; without failing the stream here, the adopted stream root would never be freed. + // Route it through the same fail path (which releases the channel -> close() frees the + // root) and report it to the listener rather than letting it kill the executor worker and + // strand the caller. Wrapped so the listener's Exception contract is honoured. + Exception wrapped = new RuntimeException("Fatal error sending Arrow batch", t); + failStream(flightChannel, task, wrapped); + messageListener.onResponseSent(task.requestId(), task.action(), wrapped); + } + } + + /** + * Fails the stream after a batch send error: sends the error so the consumer's + * {@code FlightStream.getRoot()} surfaces an exception instead of hanging on a never-arriving first + * frame, then releases the channel so a later {@code completeStream} no-ops on its open guard. The + * stream root and the source root are owned and freed by the channel, so there is nothing to free + * here. {@code sendError} and {@code releaseChannel} are both idempotent / best-effort. + */ + private void failStream(FlightServerChannel flightChannel, BatchTask task, Exception cause) { + try { + Exception flightError = cause instanceof StreamException se ? FlightErrorMapper.toFlightException(se) : cause; + flightChannel.sendError(getHeaderBuffer(task.requestId(), task.nodeVersion(), task.features()), flightError); + } catch (Exception suppressed) { + // sendError is a no-op when the channel is already closed/cancelled/terminal, so reaching + // here means it genuinely failed (e.g. header serialization). Attach to the original cause + // so the second failure's context travels with the exception the listener receives, and log + // at WARN — this is a cascading failure, not routine. + cause.addSuppressed(suppressed); + logger.warn(new ParameterizedMessage("failStream: could not send error for requestId [{}]", task.requestId()), suppressed); + } finally { + // Make the channel terminal so a later completeStream can't double-terminate the listener, + // and so close() runs to free the adopted stream root. Prefer releasing via the transport + // channel (also untracks the framework task); fall back to closing the channel directly when + // there is no transport channel. Both are idempotent (close() is fire-once). + if (task.transportChannel() != null) { + task.transportChannel().releaseChannel(true); + } else { + flightChannel.close(); + } } } diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java index 116895dbfec0b..4b719e95c36f6 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java @@ -14,24 +14,31 @@ import org.apache.arrow.flight.FlightRuntimeException; import org.apache.arrow.memory.ArrowBuf; import org.apache.arrow.memory.BufferAllocator; +import org.apache.arrow.vector.FieldVector; import org.apache.arrow.vector.VectorSchemaRoot; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.apache.logging.log4j.message.ParameterizedMessage; import org.opensearch.OpenSearchException; import org.opensearch.arrow.flight.stats.FlightCallTracker; +import org.opensearch.arrow.transport.ArrowBatchResponse; +import org.opensearch.arrow.transport.VectorTransfer; +import org.opensearch.common.CheckedSupplier; import org.opensearch.core.action.ActionListener; import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.transport.TransportResponse; import org.opensearch.transport.TcpChannel; import org.opensearch.transport.stream.StreamErrorCode; import org.opensearch.transport.stream.StreamException; +import java.io.IOException; import java.net.InetAddress; import java.net.InetSocketAddress; import java.nio.ByteBuffer; import java.util.ArrayList; -import java.util.Collections; import java.util.List; import java.util.concurrent.ExecutorService; +import java.util.concurrent.RejectedExecutionException; import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicInteger; @@ -41,11 +48,34 @@ * TcpChannel implementation for Arrow Flight. Created per call in {@link ArrowFlightProducer}. * *

Honours gRPC's {@code isReady()} contract via {@link CompositeBackpressureStrategy}: - * producer threads call {@link #awaitReadyOrThrow()} before {@code sendBatch} is queued - * and park until gRPC's outbound buffer drains below {@code setOnReadyThreshold}. + * producer threads call {@link #awaitReadyOrThrow()} before a batch is submitted and park + * until gRPC's outbound buffer drains below {@code setOnReadyThreshold}. * - *

This implementation is not thread safe; the producer must invoke {@code sendBatch} - * serially and call {@code completeStream()} at the end. + *

Ownership & concurrency — single-writer model. This channel is the sole owner of + * every Arrow buffer it sends and of the gRPC stream lifecycle. It keeps that ownership safe by + * confining the stream root to a single thread: + *

    + *
  • The stream {@link #root} and every {@code serverStreamListener} call + * ({@code start}/{@code putNext}/{@code completed}/{@code error}) happen only on the channel's + * single-threaded flight executor ({@link #getExecutor()}). The executor serializes batch + * sends, {@code completeStream}/{@code sendError}, and the root free among themselves, so none + * can interleave.
    • + *
  • {@link #close()} may be called from any thread (the gRPC cancel callback, the flight executor + * via {@code release()}, or producer bootstrap). It is a signal, not a buffer + * operation: it flips {@link #open} exactly once via {@code compareAndSet}, fires close + * listeners, and posts the root free onto the flight executor. Because the executor is + * FIFO and single-threaded, that free runs only after any in-flight send completes. + * {@code close()} never touches Arrow buffers or gRPC from the caller's thread, so it cannot + * race an in-flight {@code putNext} and never blocks the cancel thread.
    • + *
  • A native source root is freed exactly once by {@link #sendBatch} (in a {@code finally} on + * every exit), or by {@link #releaseUnsent} when the batch never reached {@code sendBatch}.
    • + *
+ * The only cross-thread state is the close-listener list, guarded by a small leaf mutex + * ({@link #closeListenerMutex}) whose critical section only mutates that list. See + * {@code docs/channel-lifecycle-ownership.md} for the full contract. + * + *

The producer must invoke {@link #sendBatch} serially and finish with {@link #completeStream} + * (success) or {@link #sendError} (failure). */ class FlightServerChannel implements TcpChannel, ArrowFlightChannel { private static final String PROFILE_NAME = "flight"; @@ -56,9 +86,7 @@ class FlightServerChannel implements TcpChannel, ArrowFlightChannel { private final AtomicBoolean open = new AtomicBoolean(true); private final InetSocketAddress localAddress; private final InetSocketAddress remoteAddress; - private final List> closeListeners = Collections.synchronizedList(new ArrayList<>()); private final ServerHeaderMiddleware middleware; - private volatile VectorSchemaRoot root = null; private final FlightCallTracker callTracker; private volatile boolean cancelled = false; private final ExecutorService executor; @@ -67,6 +95,20 @@ class FlightServerChannel implements TcpChannel, ArrowFlightChannel { private final CompositeBackpressureStrategy bp; private final long readyTimeoutMillis; + /** + * The reused stream root (native or byte-serialized). Confined to the flight-executor thread: + * created, filled, and freed only there. {@code volatile} so the test-only {@link #getRoot()} + * sees a consistent reference; correctness relies on executor confinement, not on volatility. + */ + private volatile VectorSchemaRoot root = null; + /** Whether a terminal gRPC op ({@code completed()} XOR {@code error()}) was issued. Flight-executor confined. */ + private boolean terminalSent = false; + + /** Leaf mutex guarding {@link #closeListeners} and {@link #closeListenersFired}; its critical section only mutates them. */ + private final Object closeListenerMutex = new Object(); + private final List> closeListeners = new ArrayList<>(); + private boolean closeListenersFired = false; + public FlightServerChannel( ServerStreamListener serverStreamListener, BufferAllocator allocator, @@ -138,6 +180,7 @@ public BufferAllocator getAllocator() { return allocator; } + /** Returns the current stream root. Package-private; intended for tests/assertions only. */ VectorSchemaRoot getRoot() { return root; } @@ -149,109 +192,248 @@ public ExecutorService getExecutor() { return executor; } - public void sendBatch(ByteBuffer header, VectorStreamOutput output) { - sendBatch(header, output, null); + /** + * Sends one streaming batch. Must run on the flight executor thread (it is dispatched there + * by {@link FlightOutboundHandler}). The channel takes ownership of the response's buffers and is + * the sole place they are transferred onto the wire and freed. + * + *

For an {@link ArrowBatchResponse} (native path) the producer's root is zero-copy transferred + * into the reused stream root and the producer root is freed here exactly once (on every exit, via + * the {@code finally}). For any other response (byte-serialized path) the response is written into + * the reused {@code VarBinary} stream root. The stream root itself is freed once, at {@link #close()} + * — never per batch — to preserve gRPC's zero-copy retention window. + * + *

This method, the terminal ops, and the {@link #close()} root-free all run on the + * single-threaded executor and are serialized by it. The header is built before any root is + * mutated, so a header-serialization failure fails fast (the source is freed by the {@code finally}) + * without adopting a stream root. + * + * @param response the batch to send; the channel takes ownership of its buffers + * @param headerSupplier builds the response header + * @throws IOException if header serialization or byte-path serialization fails + */ + public void sendBatch(TransportResponse response, CheckedSupplier headerSupplier) throws IOException { + final boolean isNative = response instanceof ArrowBatchResponse; + final VectorSchemaRoot sourceRoot = isNative ? ((ArrowBatchResponse) response).getRoot() : null; + final byte[] metadata = isNative ? ((ArrowBatchResponse) response).getMetadata() : null; + try { + if (cancelled) { + throw StreamException.cancelled("Cannot flush more batches. Stream cancelled by the client"); + } + if (!open.get()) { + throw new IllegalStateException("FlightServerChannel already closed."); + } + + final boolean firstBatch = (root == null); + final long batchStartTime = System.nanoTime(); + + // Build the header before mutating any root so a header-serialization failure fails fast + // (the source root is still freed by the finally) without adopting a stream root. + final ByteBuffer header = headerSupplier.get(); + + if (isNative) { + transferIntoStreamRoot(sourceRoot, firstBatch); + } else { + serializeIntoStreamRoot(response, firstBatch); + } + + batchNumber.incrementAndGet(); + if (firstBatch) { + middleware.setHeader(header); + serverStreamListener.start(root); + } + + logger.debug("Sending batch #{} for correlation ID: {}", batchNumber, correlationId); + if (metadata != null) { + // Flight takes ownership of metadataBuf via putNext(ArrowBuf); free it ourselves + // only if putNext never adopted it. + ArrowBuf metadataBuf = allocator.buffer(metadata.length); + metadataBuf.writeBytes(metadata); + try { + serverStreamListener.putNext(metadataBuf); + } catch (Throwable t) { + if (metadataBuf.refCnt() > 0) { + metadataBuf.close(); + } + throw t; + } + } else { + serverStreamListener.putNext(); + } + + long putNextTime = (System.nanoTime() - batchStartTime) / 1_000_000; + if (callTracker != null) { + long rootSize = FlightUtils.calculateVectorSchemaRootSize(root); + callTracker.recordBatchSent(rootSize, System.nanoTime() - batchStartTime); + logger.debug( + "Batch #{} sent for correlation ID: {}, size: {} bytes, putNext: {}ms", + batchNumber, + correlationId, + rootSize, + putNextTime + ); + } else { + logger.debug("Batch #{} sent for correlation ID: {}, putNext: {}ms", batchNumber, correlationId, putNextTime); + } + } finally { + // The native source root is exclusively owned by this call. Free it exactly once on every + // exit: after a successful transfer it is empty (close is a no-op); on any early throw it + // still holds its buffers (close frees them). + if (isNative && sourceRoot != null) { + sourceRoot.close(); + } + } } /** - * Sends a batch, optionally with application metadata attached to the same Flight - * frame via {@code putNext(ArrowBuf)}. Metadata is opaque to the transport. + * Native path: zero-copy transfers {@code sourceRoot}'s vectors into the reused stream root, + * creating it on the first batch. On the first batch, if transfer fails before the channel adopts + * the freshly-created root, that root is freed here so it cannot leak (it has not yet become + * {@link #root}, so {@link #close()} would not free it). Flight-executor confined. */ - public void sendBatch(ByteBuffer header, VectorStreamOutput output, byte[] metadata) { - if (cancelled) { - throw StreamException.cancelled("Cannot flush more batches. Stream cancelled by the client"); - } - if (!open.get()) { - throw new IllegalStateException("FlightServerChannel already closed."); - } - batchNumber.incrementAndGet(); - long batchStartTime = System.nanoTime(); - if (root == null) { - middleware.setHeader(header); - root = output.getRoot(); - serverStreamListener.start(root); - } else { - root = output.getRoot(); - } - logger.debug("Sending batch #{} for correlation ID: {}", batchNumber, correlationId); - // Roots are not closed right after putNext: gRPC may still hold zero-copy refs. - // They're released at completeStream. TODO: optimize. - if (metadata != null) { - // Flight takes ownership of metadataBuf via putNext(ArrowBuf). - ArrowBuf metadataBuf = allocator.buffer(metadata.length); - metadataBuf.writeBytes(metadata); - serverStreamListener.putNext(metadataBuf); - } else { - serverStreamListener.putNext(); - } - long putNextTime = (System.nanoTime() - batchStartTime) / 1_000_000; - if (callTracker != null) { - long rootSize = FlightUtils.calculateVectorSchemaRootSize(root); - callTracker.recordBatchSent(rootSize, System.nanoTime() - batchStartTime); - logger.debug( - "Batch #{} sent for correlation ID: {}, size: {} bytes, putNext: {}ms", - batchNumber, - correlationId, - rootSize, - putNextTime - ); + private void transferIntoStreamRoot(VectorSchemaRoot sourceRoot, boolean firstBatch) { + if (firstBatch) { + List fieldVectors = sourceRoot.getFieldVectors(); + if (fieldVectors.isEmpty()) { + throw new IllegalStateException("Native Arrow batch has no field vectors"); + } + // Create using the producer's allocator: cross-allocator transferOwnership of foreign-backed + // buffers (from C data import) does not properly free the ArrowArray C struct. The producer's + // allocator must be long-lived (not closed per-request). + VectorSchemaRoot created = VectorSchemaRoot.create(sourceRoot.getSchema(), fieldVectors.getFirst().getAllocator()); + boolean adopted = false; + try { + VectorTransfer.transferRoot(sourceRoot, created); + root = created; + adopted = true; + } finally { + if (!adopted) { + created.close(); + } + } } else { - logger.debug("Batch #{} sent for correlation ID: {}, putNext: {}ms", batchNumber, correlationId, putNextTime); + VectorTransfer.transferRoot(sourceRoot, root); } } /** - * Completes the streaming response and closes all pending roots. - * + * Byte-serialized path: writes {@code response} into the reused {@code VarBinary} stream root, + * creating it on the first batch and clearing it for reuse on later batches. On the first batch, + * if serialization fails before the channel adopts the freshly-created root, the output's vector is + * freed here so it cannot leak. Flight-executor confined. */ - public void completeStream(ByteBuffer header) { + private void serializeIntoStreamRoot(TransportResponse response, boolean firstBatch) throws IOException { + VectorStreamOutput out = VectorStreamOutput.create(allocator, root); + boolean adopted = false; try { - if (!open.get()) { - throw new IllegalStateException("FlightServerChannel already closed."); + if (!firstBatch) { + out.reset(); } - if (root == null) { - // Set header if no batches were sent - middleware.setHeader(header); - logger.debug("Completing empty stream for correlation ID: {}", correlationId); - } else { - logger.debug("Completing stream for correlation ID: {} after {} batches", correlationId, batchNumber); - } - serverStreamListener.completed(); + response.writeTo(out); + root = out.getRoot(); + adopted = true; } finally { - callTracker.recordCallEnd(StreamErrorCode.OK.name()); + // Only the first-batch output owns a freshly-allocated vector; on reuse the output wraps the + // channel-owned root, which close() frees. + if (firstBatch && !adopted) { + try { + out.close(); + } catch (IOException ignore) { + // best-effort cleanup of the un-adopted first-batch vector + } + } + } + } + + /** + * Frees the source buffers of a batch that was built but never handed to {@link #sendBatch} + * (the back-pressure gate threw, the executor rejected the task, or the channel was the wrong + * type). The channel owns the source root from the moment the producer enqueues the batch, so on a + * failed hand-off it is freed here — the mutually-exclusive counterpart to {@link #sendBatch}'s own + * {@code finally}. No-op for the byte-serialized path (no off-heap source root). + */ + public void releaseUnsent(TransportResponse response) { + releaseUnsentSource(response); + } + + /** + * Static variant of {@link #releaseUnsent} for the defensive path where the channel is the wrong + * type and no instance is available. Frees the native source root of an unsent batch; no-op for the + * byte-serialized path (no off-heap source root). + */ + static void releaseUnsentSource(TransportResponse response) { + if (response instanceof ArrowBatchResponse arrowResponse) { + VectorSchemaRoot sourceRoot = arrowResponse.getRoot(); + if (sourceRoot != null) { + sourceRoot.close(); + } + } + } + + /** + * Completes the streaming response. Must run on the flight executor thread. Terminal and + * idempotent: a no-op if the channel is already closed, cancelled, or terminal. Does not free the + * stream root — that is deferred to {@link #close()} to preserve gRPC's zero-copy retention window. + */ + public void completeStream(ByteBuffer header) { + if (!open.get() || cancelled || terminalSent) { + logger.debug( + "completeStream is a no-op (open={}, cancelled={}, terminalSent={}) for correlation ID: {}", + open.get(), + cancelled, + terminalSent, + correlationId + ); + return; + } + if (root == null) { + // Set header if no batches were sent + middleware.setHeader(header); + logger.debug("Completing empty stream for correlation ID: {}", correlationId); + } else { + logger.debug("Completing stream for correlation ID: {} after {} batches", correlationId, batchNumber); } + serverStreamListener.completed(); + terminalSent = true; + callTracker.recordCallEnd(StreamErrorCode.OK.name()); } /** - * Sends an error and closes the channel. + * Sends a terminal error to the consumer. Must run on the flight executor thread. Terminal + * and idempotent: a no-op if the channel is already closed, cancelled, or terminal (the consumer is + * then already done). Does not free the stream root — that is deferred to {@link #close()}. * * @param error the error to send */ public void sendError(ByteBuffer header, Exception error) { - FlightRuntimeException flightExc = null; - try { - if (!open.get()) { - throw new IllegalStateException("FlightServerChannel already closed."); - } - if (error instanceof FlightRuntimeException fre) { - flightExc = fre; - } else { - flightExc = CallStatus.INTERNAL.withCause(error) - .withDescription(error.getMessage() != null ? error.getMessage() : "Stream error") - .toRuntimeException(); - } - middleware.setHeader(header); - if (error instanceof OpenSearchException) { - logger.debug("Error in Flight stream: {}", error.getMessage()); - } else { - logger.error("Unexpected error in Flight stream", error); - } - logger.debug("Sending error for correlation ID: {} after {} batches: {}", correlationId, batchNumber, error.getMessage()); - serverStreamListener.error(flightExc); - } finally { - StreamErrorCode errorCode = flightExc != null ? mapFromCallStatus(flightExc) : StreamErrorCode.UNKNOWN; - callTracker.recordCallEnd(errorCode.name()); + if (!open.get() || cancelled || terminalSent) { + logger.debug( + "sendError is a no-op (open={}, cancelled={}, terminalSent={}) for correlation ID: {}", + open.get(), + cancelled, + terminalSent, + correlationId + ); + return; } + FlightRuntimeException flightExc; + if (error instanceof FlightRuntimeException fre) { + flightExc = fre; + } else { + flightExc = CallStatus.INTERNAL.withCause(error) + .withDescription(error.getMessage() != null ? error.getMessage() : "Stream error") + .toRuntimeException(); + } + middleware.setHeader(header); + if (error instanceof OpenSearchException) { + logger.debug("Error in Flight stream: {}", error.getMessage()); + } else { + logger.error("Unexpected error in Flight stream", error); + } + logger.debug("Sending error for correlation ID: {} after {} batches: {}", correlationId, batchNumber, error.getMessage()); + serverStreamListener.error(flightExc); + terminalSent = true; + callTracker.recordCallEnd(mapFromCallStatus(flightExc).name()); } @Override @@ -292,22 +474,56 @@ public ChannelStats getChannelStats() { @Override public void close() { - if (!open.get()) { + // Fire-once: exactly one caller wins the CAS, regardless of thread (gRPC cancel, the flight + // executor via release, or producer bootstrap) or interleaving. + if (!open.compareAndSet(true, false)) { return; } - open.set(false); - if (root != null) { - root.close(); + // The stream root is owned exclusively by the flight-executor thread (created, filled, and + // freed there). Post the free onto that executor so it is serialized behind any in-flight send + // by the executor's own FIFO ordering; we never touch Arrow buffers from this (possibly gRPC) + // thread. + try { + executor.execute(() -> { + if (root != null) { + root.close(); + root = null; + } + }); + } catch (RejectedExecutionException e) { + // Executor shut down (node shutdown): the posted free will not run, so the stream root is + // reclaimed by the OS on process exit (documented limitation, channel-lifecycle-ownership + // §10). We deliberately do NOT free inline: a rejection from ExecutorService.shutdown() + // means new tasks are refused while an already-running send may still be touching the root + // on the executor thread, so freeing from this (possibly gRPC) thread would reintroduce the + // use-after-free this single-writer model exists to prevent. Logged at WARN so the + // shutdown-time leak is visible rather than buried. + logger.warn( + new ParameterizedMessage( + "flight executor rejected stream-root release for correlation ID: {}; root reclaimed at process exit", + correlationId + ), + e + ); } notifyCloseListeners(); } @Override public void addCloseListener(ActionListener listener) { - if (!open.get()) { + // Register atomically against notifyCloseListeners under the leaf mutex: either the listeners + // have not fired yet and we enqueue (notifyCloseListeners will fire it), or they have already + // fired and we fire immediately. Never both, never neither. The mutex's critical section only + // mutates the list. + boolean alreadyFired; + synchronized (closeListenerMutex) { + alreadyFired = closeListenersFired; + if (!alreadyFired) { + closeListeners.add(listener); + } + } + if (alreadyFired) { listener.onResponse(null); - } else { - closeListeners.add(listener); } } @@ -317,9 +533,22 @@ public boolean isOpen() { } private void notifyCloseListeners() { - for (ActionListener listener : closeListeners) { - listener.onResponse(null); + // Snapshot+mark-fired under the leaf mutex so a concurrent addCloseListener cannot be lost or + // double-fired, then fire outside the mutex so foreign listener code never runs while we hold + // it. Isolate each listener so one failure cannot strand the rest (e.g. the TaskManager untrack + // listener). + final List> toFire; + synchronized (closeListenerMutex) { + toFire = new ArrayList<>(closeListeners); + closeListeners.clear(); + closeListenersFired = true; + } + for (ActionListener listener : toFire) { + try { + listener.onResponse(null); + } catch (Exception e) { + logger.warn(new ParameterizedMessage("close listener failed for correlation ID: {}", correlationId), e); + } } - closeListeners.clear(); } } diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java index 8fb6fc88059ed..30574d5512ed2 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java @@ -8,6 +8,8 @@ package org.opensearch.arrow.flight.transport; +import org.apache.arrow.flight.CallStatus; +import org.apache.arrow.flight.FlightRuntimeException; import org.apache.arrow.memory.BufferAllocator; import org.apache.arrow.memory.RootAllocator; import org.apache.arrow.vector.IntVector; @@ -26,6 +28,8 @@ import org.opensearch.threadpool.ThreadPool; import org.opensearch.transport.StatsTracker; import org.opensearch.transport.TransportMessageListener; +import org.opensearch.transport.stream.StreamErrorCode; +import org.opensearch.transport.stream.StreamException; import org.junit.After; import org.junit.Before; @@ -36,6 +40,7 @@ import java.util.concurrent.CountDownLatch; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; +import java.util.concurrent.RejectedExecutionException; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicReference; @@ -45,6 +50,7 @@ import static org.mockito.Mockito.doAnswer; import static org.mockito.Mockito.doThrow; import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.never; import static org.mockito.Mockito.verify; import static org.mockito.Mockito.when; @@ -70,7 +76,6 @@ public void setUp() throws Exception { mockFlightChannel = mock(FlightServerChannel.class); when(mockFlightChannel.getExecutor()).thenReturn(executor); when(mockFlightChannel.getAllocator()).thenReturn(mock(BufferAllocator.class)); - when(mockFlightChannel.getRoot()).thenReturn(mock(VectorSchemaRoot.class)); mockListener = mock(TransportMessageListener.class); handler.setMessageListener(mockListener); @@ -213,40 +218,27 @@ public void testMultipleBatchesMaintainCallerContext() throws Exception { assertEquals("Caller's thread context should be preserved after completeStream", HEADER_VALUE, threadContext.getHeader(HEADER_KEY)); } - // --- Native Arrow branch in processBatchTask --- + // --- processBatchTask delegates to the channel --- + // The channel owns the stream root (create/transfer/adopt/free) and builds the header internally; + // these tests verify delegation + listener notification. Root ownership is covered in + // FlightServerChannelTests. - public void testProcessBatchTaskNativeArrowFirstBatch() throws Exception { + public void testProcessBatchTaskDelegatesToChannelSendBatch() throws Exception { try (RootAllocator allocator = new RootAllocator()) { - Schema schema = new Schema(List.of(new Field("val", FieldType.nullable(new ArrowType.Int(32, true)), null))); - VectorSchemaRoot producerRoot = VectorSchemaRoot.create(schema, allocator); - IntVector vec = (IntVector) producerRoot.getVector("val"); - vec.allocateNew(); - vec.setSafe(0, 42); - vec.setValueCount(1); - producerRoot.setRowCount(1); - - // First batch: streamRoot is null, so it should be created - when(mockFlightChannel.getRoot()).thenReturn(null); + VectorSchemaRoot producerRoot = newSingleIntRoot(allocator, 42); CountDownLatch latch = new CountDownLatch(1); - AtomicReference error = new AtomicReference<>(); - doAnswer(invocation -> { latch.countDown(); return null; }).when(mockListener).onResponseSent(anyLong(), anyString(), any(TransportResponse.class)); + // The channel takes the response; the handler must not touch its root. + AtomicReference sent = new AtomicReference<>(); doAnswer(invocation -> { - // Verify the output has a root with transferred data - VectorStreamOutput out = invocation.getArgument(1); - VectorSchemaRoot sentRoot = out.getRoot(); - assertNotNull(sentRoot); - assertEquals(1, sentRoot.getRowCount()); - assertEquals(42, ((IntVector) sentRoot.getVector("val")).get(0)); - // Clean up the stream root created by the handler - sentRoot.close(); + sent.set(invocation.getArgument(0)); return null; - }).when(mockFlightChannel).sendBatch(any(), any(VectorStreamOutput.class), any()); + }).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); TestArrowResponse response = new TestArrowResponse(producerRoot); handler.sendResponseBatch( @@ -262,44 +254,55 @@ public void testProcessBatchTaskNativeArrowFirstBatch() throws Exception { ); assertTrue("Task should complete", latch.await(5, TimeUnit.SECONDS)); - assertNull("No error expected", error.get()); + verify(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + assertSame("handler should pass the response straight to the channel", response, sent.get()); + // Channel mock did not consume buffers; free the producer root so teardown is clean. + producerRoot.close(); } } - public void testProcessBatchTaskNativeArrowWithExistingStreamRoot() throws Exception { - try (RootAllocator allocator = new RootAllocator()) { - Schema schema = new Schema(List.of(new Field("val", FieldType.nullable(new ArrowType.Int(32, true)), null))); + public void testProcessBatchTaskNonArrowResponseDelegatesToSendBatch() throws Exception { + CountDownLatch latch = new CountDownLatch(1); + doAnswer(invocation -> { + latch.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(TransportResponse.class)); - // Simulate existing stream root (second batch scenario) - VectorSchemaRoot streamRoot = VectorSchemaRoot.create(schema, allocator); - when(mockFlightChannel.getRoot()).thenReturn(streamRoot); + doAnswer(invocation -> null).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); - VectorSchemaRoot producerRoot = VectorSchemaRoot.create(schema, allocator); - IntVector vec = (IntVector) producerRoot.getVector("val"); - vec.allocateNew(); - vec.setSafe(0, 99); - vec.setValueCount(1); - producerRoot.setRowCount(1); + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); - CountDownLatch latch = new CountDownLatch(1); + assertTrue("Task should complete", latch.await(5, TimeUnit.SECONDS)); + verify(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + } - doAnswer(invocation -> { - VectorStreamOutput out = invocation.getArgument(1); - VectorSchemaRoot sentRoot = out.getRoot(); - // Should reuse the existing stream root - assertSame(streamRoot, sentRoot); - assertEquals(1, sentRoot.getRowCount()); - assertEquals(99, ((IntVector) sentRoot.getVector("val")).get(0)); - return null; - }).when(mockFlightChannel).sendBatch(any(), any(VectorStreamOutput.class), any()); + // --- Hand-off discipline: a batch that never reaches the channel must be released (S7) --- - doAnswer(invocation -> { - latch.countDown(); - return null; - }).when(mockListener).onResponseSent(anyLong(), anyString(), any(TransportResponse.class)); + /** + * When the back-pressure gate throws (cancel/timeout), the batch is never submitted, so the + * handler must free the source root via releaseUnsent and must NOT submit the task. + */ + public void testSendResponseBatchReleasesSourceWhenGateThrows() { + ExecutorService submitTrap = mock(ExecutorService.class); + when(mockFlightChannel.getExecutor()).thenReturn(submitTrap); - TestArrowResponse response = new TestArrowResponse(producerRoot); - handler.sendResponseBatch( + StreamException cancelled = StreamException.cancelled("client gone"); + doThrow(cancelled).when(mockFlightChannel).awaitReadyOrThrow(); + + TransportResponse response = mock(TransportResponse.class); + StreamException thrown = expectThrows( + StreamException.class, + () -> handler.sendResponseBatch( Version.CURRENT, Collections.emptySet(), mockFlightChannel, @@ -309,11 +312,257 @@ public void testProcessBatchTaskNativeArrowWithExistingStreamRoot() throws Excep response, false, false - ); + ) + ); - assertTrue("Task should complete", latch.await(5, TimeUnit.SECONDS)); - streamRoot.close(); - } + assertSame(cancelled, thrown); + verify(mockFlightChannel).releaseUnsent(response); // freed on the failed-handoff path + verify(submitTrap, never()).execute(any()); // not submitted after the gate failed + } + + /** + * When the executor rejects the task (e.g. shutdown), the batch never runs, so the handler must + * free the source root via releaseUnsent. + */ + public void testSendResponseBatchReleasesSourceWhenExecutorRejects() { + ExecutorService rejectingExecutor = mock(ExecutorService.class); + when(mockFlightChannel.getExecutor()).thenReturn(rejectingExecutor); + doThrow(new RejectedExecutionException("shutting down")).when(rejectingExecutor).execute(any()); + + TransportResponse response = mock(TransportResponse.class); + expectThrows( + RejectedExecutionException.class, + () -> handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + response, + false, + false + ) + ); + + verify(mockFlightChannel).releaseUnsent(response); + } + + /** A successful hand-off must NOT also release the source (it is owned by sendBatch's finally). */ + public void testSendResponseBatchDoesNotReleaseOnSuccessfulHandoff() throws Exception { + CountDownLatch latch = new CountDownLatch(1); + doAnswer(invocation -> { + latch.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(TransportResponse.class)); + doAnswer(invocation -> null).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + TransportResponse response = mock(TransportResponse.class); + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + response, + false, + false + ); + + assertTrue("Task should complete", latch.await(5, TimeUnit.SECONDS)); + verify(mockFlightChannel, never()).releaseUnsent(any()); + } + + // --- failStream: a batch send failure fails the stream instead of hanging the consumer --- + + public void testProcessBatchTaskFailureSendsErrorAndReleasesChannel() throws Exception { + doThrow(new RuntimeException("send failed")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + FlightTransportChannel transportChannel = mock(FlightTransportChannel.class); + CountDownLatch notified = new CountDownLatch(1); + doAnswer(invocation -> { + notified.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + transportChannel, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + assertTrue("failed batch send must terminate the stream", notified.await(5, TimeUnit.SECONDS)); + // Stream is failed BEFORE the listener is notified (consumer sees an error, not a hang). + org.mockito.InOrder inOrder = org.mockito.Mockito.inOrder(mockFlightChannel, transportChannel, mockListener); + inOrder.verify(mockFlightChannel).sendError(any(), any(Exception.class)); + inOrder.verify(transportChannel).releaseChannel(true); + inOrder.verify(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + } + + public void testProcessBatchTaskFlightRuntimeExceptionFailsStreamWithMappedError() throws Exception { + FlightRuntimeException flightError = CallStatus.INTERNAL.withDescription("flight send failed").toRuntimeException(); + doThrow(flightError).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + FlightTransportChannel transportChannel = mock(FlightTransportChannel.class); + CountDownLatch notified = new CountDownLatch(1); + AtomicReference notifiedArg = new AtomicReference<>(); + doAnswer(invocation -> { + notifiedArg.set(invocation.getArgument(2)); + notified.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + transportChannel, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + assertTrue("FlightRuntimeException must terminate the stream", notified.await(5, TimeUnit.SECONDS)); + verify(mockFlightChannel).sendError(any(), any(Exception.class)); + verify(transportChannel).releaseChannel(true); + assertTrue("listener should receive the mapped StreamException", notifiedArg.get() instanceof StreamException); + } + + public void testFailStreamSwallowsSendErrorFailureAndStillReleases() throws Exception { + doThrow(new RuntimeException("send failed")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + // sendError itself fails (consumer already gone) — must be swallowed. + doThrow(new RuntimeException("sendError failed too")).when(mockFlightChannel).sendError(any(), any(Exception.class)); + + FlightTransportChannel transportChannel = mock(FlightTransportChannel.class); + CountDownLatch released = new CountDownLatch(1); + doAnswer(invocation -> { + released.countDown(); + return null; + }).when(transportChannel).releaseChannel(true); + + CountDownLatch notified = new CountDownLatch(1); + AtomicReference notifiedArg = new AtomicReference<>(); + doAnswer(invocation -> { + notifiedArg.set(invocation.getArgument(2)); + notified.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + transportChannel, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + assertTrue("channel must still be released after sendError fails", released.await(5, TimeUnit.SECONDS)); + assertTrue("listener must still be notified after sendError fails", notified.await(5, TimeUnit.SECONDS)); + verify(transportChannel).releaseChannel(true); + // The sendError failure must not be lost: it is attached as a suppressed exception on the + // original cause that the listener receives. + assertTrue("listener arg must be the original cause", notifiedArg.get() instanceof Exception); + Throwable[] suppressed = ((Throwable) notifiedArg.get()).getSuppressed(); + assertEquals("the sendError failure must be attached as suppressed", 1, suppressed.length); + assertEquals("sendError failed too", suppressed[0].getMessage()); + } + + public void testFailStreamWithNullTransportChannelDoesNotThrow() throws Exception { + doThrow(new RuntimeException("send failed")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + CountDownLatch notified = new CountDownLatch(1); + doAnswer(invocation -> { + notified.countDown(); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + null, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + assertTrue("stream must still be failed and the listener notified", notified.await(5, TimeUnit.SECONDS)); + verify(mockFlightChannel).sendError(any(), any(Exception.class)); + } + + /** + * A non-Exception {@code Throwable} from the send (e.g. OOM / AssertionError after the channel + * adopted the stream root) must still release the channel so its close()-posted stream-root free + * runs — the batch task is non-terminal, so {@code BatchTask.close()} would not release it. The + * {@code Throwable} must not be swallowed. + */ + public void testProcessBatchTaskThrowableReleasesChannel() throws Exception { + doThrow(new AssertionError("putNext boom")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + FlightTransportChannel transportChannel = mock(FlightTransportChannel.class); + CountDownLatch released = new CountDownLatch(1); + doAnswer(invocation -> { + released.countDown(); + return null; + }).when(transportChannel).releaseChannel(true); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + transportChannel, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + // The Throwable path must release the channel (-> close() -> stream-root free) even though + // failStream is not invoked for a non-Exception Throwable. + assertTrue("channel must be released on a non-Exception Throwable", released.await(5, TimeUnit.SECONDS)); + verify(transportChannel).releaseChannel(true); + } + + /** With no transport channel, the Throwable path must close the channel directly (still frees the root). */ + public void testProcessBatchTaskThrowableClosesChannelWhenNoTransportChannel() throws Exception { + doThrow(new AssertionError("putNext boom")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + CountDownLatch closed = new CountDownLatch(1); + doAnswer(invocation -> { + closed.countDown(); + return null; + }).when(mockFlightChannel).close(); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + null, + 1L, + "test-action", + mock(TransportResponse.class), + false, + false + ); + + assertTrue("channel must be closed directly when there is no transport channel", closed.await(5, TimeUnit.SECONDS)); + verify(mockFlightChannel).close(); } // --- processCompleteTask error path --- @@ -391,14 +640,11 @@ public void testSendResponseBatchPropagatesAwaitReadyException() { ExecutorService submitTrap = mock(ExecutorService.class); when(mockFlightChannel.getExecutor()).thenReturn(submitTrap); - org.opensearch.transport.stream.StreamException timeoutEx = new org.opensearch.transport.stream.StreamException( - org.opensearch.transport.stream.StreamErrorCode.TIMED_OUT, - "consumer not ready" - ); + StreamException timeoutEx = new StreamException(StreamErrorCode.TIMED_OUT, "consumer not ready"); doThrow(timeoutEx).when(mockFlightChannel).awaitReadyOrThrow(); - org.opensearch.transport.stream.StreamException thrown = expectThrows( - org.opensearch.transport.stream.StreamException.class, + StreamException thrown = expectThrows( + StreamException.class, () -> handler.sendResponseBatch( Version.CURRENT, Collections.emptySet(), @@ -413,7 +659,7 @@ public void testSendResponseBatchPropagatesAwaitReadyException() { ); assertSame(timeoutEx, thrown); // Crucially: we must not have submitted the BatchTask after the gate failed. - verify(submitTrap, org.mockito.Mockito.never()).execute(any()); + verify(submitTrap, never()).execute(any()); } public void testBatchTaskCloseWithIsErrorCallsReleaseChannelWithTrue() { @@ -439,7 +685,18 @@ public void testBatchTaskCloseWithIsErrorCallsReleaseChannelWithTrue() { verify(mockTransportChannel).releaseChannel(true); } - // --- Test helper --- + // --- Test helpers --- + + private static VectorSchemaRoot newSingleIntRoot(BufferAllocator allocator, int value) { + Schema schema = new Schema(List.of(new Field("val", FieldType.nullable(new ArrowType.Int(32, true)), null))); + VectorSchemaRoot root = VectorSchemaRoot.create(schema, allocator); + IntVector vec = (IntVector) root.getVector("val"); + vec.allocateNew(); + vec.setSafe(0, value); + vec.setValueCount(1); + root.setRowCount(1); + return root; + } static class TestArrowResponse extends ArrowBatchResponse { TestArrowResponse(VectorSchemaRoot root) { diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightServerChannelTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightServerChannelTests.java index b5e19d6de3710..bb1434383206a 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightServerChannelTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightServerChannelTests.java @@ -19,10 +19,15 @@ import org.apache.arrow.vector.types.pojo.FieldType; import org.apache.arrow.vector.types.pojo.Schema; import org.opensearch.arrow.flight.stats.FlightCallTracker; +import org.opensearch.arrow.transport.ArrowBatchResponse; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.core.transport.TransportResponse; import org.opensearch.test.OpenSearchTestCase; import org.opensearch.transport.stream.StreamErrorCode; import org.opensearch.transport.stream.StreamException; +import java.io.IOException; import java.nio.ByteBuffer; import java.nio.charset.StandardCharsets; import java.util.ArrayList; @@ -32,10 +37,12 @@ import java.util.concurrent.Executors; import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicBoolean; +import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicReference; import static org.mockito.ArgumentMatchers.any; import static org.mockito.Mockito.doAnswer; +import static org.mockito.Mockito.doThrow; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.never; import static org.mockito.Mockito.times; @@ -92,6 +99,19 @@ private FlightServerChannel newChannel(long readyTimeoutMillis) { return new FlightServerChannel(listener, allocator, middleware, callTracker, executor, readyTimeoutMillis); } + private static ByteBuffer emptyHeader() { + return ByteBuffer.allocate(0); + } + + /** + * close() posts the stream-root free onto the flight executor (single-writer model). Drain the + * executor so the free has run before asserting allocator state — submitting a no-op and waiting + * for it guarantees the earlier-queued free task completed (FIFO, single-threaded). + */ + private void drainExecutor() throws Exception { + executor.submit(() -> {}).get(5, TimeUnit.SECONDS); + } + public void testAwaitReadyFastPath() { ready.set(true); FlightServerChannel ch = newChannel(5_000); @@ -262,6 +282,8 @@ public void testAwaitReadyAfterCancelStaysCancelled() { assertEquals(StreamErrorCode.CANCELLED, ex.getErrorCode()); } + // ── Native send: metadata framing ── + /** * sendBatch with non-null metadata must call {@code putNext(ArrowBuf)} (not {@code putNext()}) * with a buffer carrying the exact bytes the producer attached. @@ -285,14 +307,15 @@ public void testSendBatchWithMetadataCallsPutNextWithBuf() throws Exception { return null; }).when(listener).putNext(any(ArrowBuf.class)); - try (VectorStreamOutput out = VectorStreamOutput.forNativeArrow(root)) { - ch.sendBatch(ByteBuffer.allocate(0), out, metadata); - } + ch.sendBatch(new TestArrowResponse(root, metadata), FlightServerChannelTests::emptyHeader); verify(listener, times(1)).putNext(any(ArrowBuf.class)); verify(listener, never()).putNext(); assertArrayEquals("metadata bytes must round-trip into the ArrowBuf", metadata, capturedMetadata.get()); - root.close(); + // Channel owns the (transferred) stream root; close() posts the free to the executor. + ch.close(); + drainExecutor(); + assertEquals("all buffers must be freed", 0, realAllocator.getAllocatedMemory()); } } @@ -302,13 +325,381 @@ public void testSendBatchWithoutMetadataCallsPutNextNoArg() throws Exception { FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); VectorSchemaRoot root = newSingleIntRoot(realAllocator, 1); - try (VectorStreamOutput out = VectorStreamOutput.forNativeArrow(root)) { - ch.sendBatch(ByteBuffer.allocate(0), out); - } + ch.sendBatch(new TestArrowResponse(root), FlightServerChannelTests::emptyHeader); verify(listener, times(1)).putNext(); verify(listener, never()).putNext(any(ArrowBuf.class)); - root.close(); + ch.close(); + drainExecutor(); + assertEquals("all buffers must be freed", 0, realAllocator.getAllocatedMemory()); + } + } + + // ── Source-root ownership (the channel frees it exactly once) ── + + /** A successful native send empties+frees the source root and retains the stream root until close(). */ + public void testSendBatchFreesSourceRootRetainsStreamRoot() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 5); + + ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader); + + assertEquals("source root must be empty after transfer", 0, source.getRowCount()); + assertNotNull("channel must retain the stream root", ch.getRoot()); + assertTrue("stream root buffers must still be alive before close", realAllocator.getAllocatedMemory() > 0); + + ch.close(); + drainExecutor(); + assertEquals("close must free the stream root", 0, realAllocator.getAllocatedMemory()); + } + } + + /** When the channel is cancelled, sendBatch rejects and frees the source root exactly once (no leak). */ + public void testSendBatchAfterCancelRejectsAndFreesSource() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + listenerCancelled.set(true); + capturedCancelHandler.get().run(); // cancel -> close + + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 9); + StreamException ex = expectThrows( + StreamException.class, + () -> ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader) + ); + assertEquals(StreamErrorCode.CANCELLED, ex.getErrorCode()); + verify(listener, never()).start(any()); + assertEquals("rejected source must be freed (no leak, no stream root created)", 0, realAllocator.getAllocatedMemory()); + } + } + + /** When the channel is closed, sendBatch rejects and frees the source root exactly once. */ + public void testSendBatchAfterCloseRejectsAndFreesSource() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + ch.close(); + + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 3); + expectThrows( + IllegalStateException.class, + () -> ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader) + ); + assertEquals("rejected source must be freed", 0, realAllocator.getAllocatedMemory()); + } + } + + /** An empty-field-vector native batch throws but still frees the source (S8 early-throw path). */ + public void testSendBatchEmptyFieldVectorsFreesSource() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot empty = new VectorSchemaRoot(new ArrayList<>(), new ArrayList<>(), 0); + + expectThrows( + IllegalStateException.class, + () -> ch.sendBatch(new TestArrowResponse(empty), FlightServerChannelTests::emptyHeader) + ); + assertEquals("source must be freed even on the empty-vectors throw", 0, realAllocator.getAllocatedMemory()); + } + } + + /** If the header supplier throws (S8), the source root is still freed and no stream root leaks. */ + public void testSendBatchHeaderThrowsFreesSource() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 2); + + expectThrows(IOException.class, () -> ch.sendBatch(new TestArrowResponse(source), () -> { throw new IOException("boom"); })); + + verify(listener, never()).start(any()); + assertEquals("header-throw must not leak source or created stream root", 0, realAllocator.getAllocatedMemory()); + } + } + + /** + * If {@code putNext} throws a non-Exception {@code Throwable} (e.g. OOM / AssertionError) AFTER the + * channel adopted the stream root, the source root is still freed by sendBatch's finally, the stream + * root is retained (owned by the channel), and a subsequent close() frees it — no leak. (The handler + * is responsible for invoking close() on this path; see FlightOutboundHandlerTests.) + */ + public void testSendBatchPutNextThrowableFreesSourceAndStreamRootClosable() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 15); + doThrow(new AssertionError("putNext boom")).when(listener).putNext(); + + expectThrows(AssertionError.class, () -> ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader)); + + assertEquals("source root must be empty/freed after the throw", 0, source.getRowCount()); + assertNotNull("stream root was adopted before putNext threw", ch.getRoot()); + assertTrue("stream root buffers are still alive (owned by the channel)", realAllocator.getAllocatedMemory() > 0); + + ch.close(); + drainExecutor(); + assertEquals("close() must free the adopted stream root after a putNext Throwable", 0, realAllocator.getAllocatedMemory()); + } + } + + /** releaseUnsent frees the source root of a batch that never reached sendBatch (failed hand-off). */ + public void testReleaseUnsentFreesSource() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 11); + + ch.releaseUnsent(new TestArrowResponse(source)); + assertEquals("releaseUnsent must free the unsent source root", 0, realAllocator.getAllocatedMemory()); + } + } + + // ── Byte-serialized path: stream root reused, freed once ── + + /** Multi-batch byte path reuses one VarBinary stream root and frees it exactly once at close(). */ + public void testByteMultiBatchReusesStreamRootFreedOnce() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + + ch.sendBatch(new BytesResponse(new byte[] { 1, 2, 3 }), FlightServerChannelTests::emptyHeader); + VectorSchemaRoot afterFirst = ch.getRoot(); + assertNotNull("byte path must create a stream root", afterFirst); + + ch.sendBatch(new BytesResponse(new byte[] { 4, 5 }), FlightServerChannelTests::emptyHeader); + assertSame("byte path must reuse the same stream root across batches", afterFirst, ch.getRoot()); + + verify(listener, times(1)).start(any()); // start only on the first batch + verify(listener, times(2)).putNext(); + + ch.close(); + drainExecutor(); + assertEquals("byte stream root must be freed exactly once at close", 0, realAllocator.getAllocatedMemory()); + } + } + + // ── Terminal-op contracts ── + + /** completeStream is a no-op after the channel was cancelled (no terminal op after cancel). */ + public void testCompleteStreamNoOpAfterCancel() { + FlightServerChannel ch = newChannel(5_000); + listenerCancelled.set(true); + capturedCancelHandler.get().run(); // cancel -> close + + ch.completeStream(emptyHeader()); + verify(listener, never()).completed(); + } + + /** sendError is a no-op after the channel was cancelled. */ + public void testSendErrorNoOpAfterCancel() { + FlightServerChannel ch = newChannel(5_000); + listenerCancelled.set(true); + capturedCancelHandler.get().run(); + + ch.sendError(emptyHeader(), new RuntimeException("late")); + verify(listener, never()).error(any()); + } + + /** At most one terminal gRPC op: a second completeStream is a no-op. */ + public void testCompleteStreamOnlyOnce() { + FlightServerChannel ch = newChannel(5_000); + ch.completeStream(emptyHeader()); + ch.completeStream(emptyHeader()); + verify(listener, times(1)).completed(); + } + + /** Once completed(), a later sendError must not also issue error() (single terminal op). */ + public void testSendErrorNoOpAfterComplete() { + FlightServerChannel ch = newChannel(5_000); + ch.completeStream(emptyHeader()); + ch.sendError(emptyHeader(), new RuntimeException("after complete")); + verify(listener, times(1)).completed(); + verify(listener, never()).error(any()); + } + + // ── close() fire-once + listener semantics ── + + /** Concurrent close() callers must each fire every close listener exactly once (no double-fire). */ + public void testCloseIsFireOnceUnderConcurrentCallers() throws Exception { + FlightServerChannel ch = newChannel(5_000); + AtomicInteger fires = new AtomicInteger(0); + int listeners = 3; + for (int i = 0; i < listeners; i++) { + ch.addCloseListener(org.opensearch.core.action.ActionListener.wrap(r -> fires.incrementAndGet(), e -> {})); + } + + int threads = 8; + CountDownLatch start = new CountDownLatch(1); + List ts = new ArrayList<>(); + for (int i = 0; i < threads; i++) { + Thread t = new Thread(() -> { + try { + start.await(); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + ch.close(); + }); + ts.add(t); + t.start(); + } + start.countDown(); + for (Thread t : ts) { + t.join(5_000); + } + assertEquals("each close listener must fire exactly once across all concurrent close() callers", listeners, fires.get()); + } + + /** A close listener registered after close() fires immediately. */ + public void testAddCloseListenerAfterCloseFiresImmediately() { + FlightServerChannel ch = newChannel(5_000); + ch.close(); + AtomicBoolean fired = new AtomicBoolean(false); + ch.addCloseListener(org.opensearch.core.action.ActionListener.wrap(r -> fired.set(true), e -> {})); + assertTrue("listener added after close must fire immediately", fired.get()); + } + + /** A throwing close listener must not strand the remaining listeners. */ + public void testThrowingCloseListenerDoesNotStrandOthers() { + FlightServerChannel ch = newChannel(5_000); + AtomicBoolean secondFired = new AtomicBoolean(false); + ch.addCloseListener(org.opensearch.core.action.ActionListener.wrap(r -> { throw new RuntimeException("listener boom"); }, e -> {})); + ch.addCloseListener(org.opensearch.core.action.ActionListener.wrap(r -> secondFired.set(true), e -> {})); + + ch.close(); + assertTrue("a throwing listener must not prevent later listeners from firing", secondFired.get()); + } + + // ── S4: cancel races an in-flight send; the root free must run behind the send (no use-after-free) ── + + /** + * Single-writer model: the send runs on the flight executor and {@code close()} posts the + * stream-root free onto that same executor. While a send is mid-{@code putNext} (occupying the + * single executor thread), a concurrent cancel -> {@code close()} must NOT free the stream root — + * the free is queued behind the in-flight send and runs only after it returns. The close listener + * fires immediately on {@code close()} (it touches no Arrow buffers), but the buffers stay alive + * until the send completes, then are freed exactly once. + */ + public void testCancelDuringInFlightSendDefersRootFree() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + VectorSchemaRoot source = newSingleIntRoot(realAllocator, 13); + + CountDownLatch inPutNext = new CountDownLatch(1); + CountDownLatch releasePutNext = new CountDownLatch(1); + doAnswer(inv -> { + inPutNext.countDown(); + assertTrue("test timed out waiting to release putNext", releasePutNext.await(5, TimeUnit.SECONDS)); + return null; + }).when(listener).putNext(); + + // Run the send ON the executor, exactly as production does — this is what serializes the + // close()-posted free behind it. + AtomicReference sendError = new AtomicReference<>(); + executor.execute(() -> { + try { + ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader); + } catch (Throwable t) { + sendError.set(t); + } + }); + + assertTrue("send must reach putNext", inPutNext.await(5, TimeUnit.SECONDS)); + + // Fire the cancel -> close() from this (gRPC-like) thread. It must NOT block, and must post + // the root free onto the busy executor rather than freeing inline. + capturedCancelHandler.get().run(); + assertFalse("channel must be marked closed immediately", ch.isOpen()); + + // The executor thread is still inside putNext, so the queued free has not run: buffers live. + assertTrue("stream root must still be alive while the send occupies the executor", realAllocator.getAllocatedMemory() > 0); + + // Let the send finish; the executor then runs the queued free task. drainExecutor() waits + // behind both the send and the free. + releasePutNext.countDown(); + drainExecutor(); + + assertNull("send must complete without error", sendError.get()); + assertEquals("stream root must be freed exactly once after the send drains", 0, realAllocator.getAllocatedMemory()); + } + } + + /** + * Cross-thread close() never frees buffers inline: when close() is called from a non-executor + * thread, the stream root is freed on the executor (single-writer), so it stays alive until the + * executor runs the posted free. + */ + public void testCloseFreesStreamRootOnExecutor() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + // Send a batch on the executor so the channel adopts a stream root, then drain. + executor.submit(() -> { + ch.sendBatch(new TestArrowResponse(newSingleIntRoot(realAllocator, 8)), FlightServerChannelTests::emptyHeader); + return null; + }).get(5, TimeUnit.SECONDS); + assertTrue("stream root should be alive after a batch", realAllocator.getAllocatedMemory() > 0); + + ch.close(); // from the test thread (not the executor) + drainExecutor(); + assertEquals("close() must free the stream root via the executor", 0, realAllocator.getAllocatedMemory()); + } + } + + /** + * Batches queued behind a cancel must not leak. While the executor is busy, we enqueue several + * native batches, then fire the cancel (which sets cancelled/closed and posts the root free behind + * them). When the executor drains: each queued batch hits the {@code cancelled} guard in + * {@code sendBatch}, rejects before touching the stream root, and frees its own source root in the + * {@code finally}; the posted root-free task (last in FIFO order) frees the stream root. Nothing is + * dropped, leaked, or double-freed. + */ + public void testBatchesQueuedBehindCancelAreRejectedAndFreed() throws Exception { + try (RootAllocator realAllocator = new RootAllocator()) { + FlightServerChannel ch = new FlightServerChannel(listener, realAllocator, middleware, callTracker, executor, 5_000); + + // Occupy the single executor thread so the batches below sit in the queue, not run. + CountDownLatch blockExecutor = new CountDownLatch(1); + CountDownLatch executorBusy = new CountDownLatch(1); + executor.execute(() -> { + executorBusy.countDown(); + try { + assertTrue(blockExecutor.await(5, TimeUnit.SECONDS)); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + } + }); + assertTrue("executor must be busy", executorBusy.await(5, TimeUnit.SECONDS)); + + // Queue several native batches behind the blocked task. Each carries its own source root. + int queued = 4; + List sendErrors = new ArrayList<>(); + for (int i = 0; i < queued; i++) { + VectorSchemaRoot source = newSingleIntRoot(realAllocator, i); + executor.execute(() -> { + try { + ch.sendBatch(new TestArrowResponse(source), FlightServerChannelTests::emptyHeader); + } catch (Throwable t) { + synchronized (sendErrors) { + sendErrors.add(t); + } + } + }); + } + assertTrue("all queued sources must be allocated", realAllocator.getAllocatedMemory() > 0); + + // Cancel now (from the gRPC-like thread): sets cancelled, flips open, posts the root free + // to the BACK of the executor queue (after the queued batches). + capturedCancelHandler.get().run(); + assertFalse("channel must be marked closed immediately", ch.isOpen()); + + // Release the executor and let it drain the blocked task, the queued batches, and the free. + blockExecutor.countDown(); + drainExecutor(); + + assertEquals("every queued batch must have rejected", queued, sendErrors.size()); + for (Throwable t : sendErrors) { + assertTrue("queued batches must reject with CANCELLED, got " + t, t instanceof StreamException); + assertEquals(StreamErrorCode.CANCELLED, ((StreamException) t).getErrorCode()); + } + // No stream root was ever created (every batch rejected before transfer), and each queued + // source was freed by its own sendBatch finally. + verify(listener, never()).start(any()); + assertEquals("no queued source root may leak after cancel", 0, realAllocator.getAllocatedMemory()); } } @@ -322,4 +713,33 @@ private static VectorSchemaRoot newSingleIntRoot(BufferAllocator allocator, int root.setRowCount(1); return root; } + + /** Minimal send-side ArrowBatchResponse for tests. */ + static final class TestArrowResponse extends ArrowBatchResponse { + TestArrowResponse(VectorSchemaRoot root) { + super(root); + } + + TestArrowResponse(VectorSchemaRoot root, byte[] metadata) { + super(root, metadata); + } + + TestArrowResponse(StreamInput in) throws IOException { + super(in); + } + } + + /** Minimal non-Arrow response that drives the byte-serialization path. */ + static final class BytesResponse extends TransportResponse { + private final byte[] data; + + BytesResponse(byte[] data) { + this.data = data; + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + out.writeByteArray(data); + } + } } From c25ced2c800f3fdb75c646bae90847cac59f2c47 Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Sat, 20 Jun 2026 15:22:47 +0530 Subject: [PATCH 12/94] [DFAE] Retention lock for translog (#22242) Signed-off-by: Mohit Godwani Signed-off-by: Kamal Nayan Co-authored-by: Mohit Godwani --- .../index/engine/DataFormatAwareEngine.java | 2 +- .../translog/InternalTranslogManager.java | 6 ++ .../index/translog/TranslogManager.java | 8 +++ .../engine/DataFormatAwareEngineTests.java | 61 +++++++++++++++++ .../InternalTranslogManagerTests.java | 65 +++++++++++++++++++ 5 files changed, 141 insertions(+), 1 deletion(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index e129afd4dfc35..d70f3f96940a9 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -1681,7 +1681,7 @@ public TranslogManager translogManager() { @Override public Closeable acquireHistoryRetentionLock() { - return () -> {}; + return translogManager.acquireHistoryRetentionLock(); } /** diff --git a/server/src/main/java/org/opensearch/index/translog/InternalTranslogManager.java b/server/src/main/java/org/opensearch/index/translog/InternalTranslogManager.java index 9e340181e4696..031fba0403cc7 100644 --- a/server/src/main/java/org/opensearch/index/translog/InternalTranslogManager.java +++ b/server/src/main/java/org/opensearch/index/translog/InternalTranslogManager.java @@ -21,6 +21,7 @@ import org.opensearch.index.translog.listener.TranslogEventListener; import org.opensearch.index.translog.transfer.TranslogUploadFailedException; +import java.io.Closeable; import java.io.IOException; import java.util.concurrent.atomic.AtomicBoolean; import java.util.function.BooleanSupplier; @@ -432,6 +433,11 @@ public String getTranslogUUID() { return translog.getTranslogUUID(); } + @Override + public Closeable acquireHistoryRetentionLock() { + return translog.acquireRetentionLock(); + } + /** * * @param localCheckpointOfLastCommit local checkpoint reference of last commit to translog diff --git a/server/src/main/java/org/opensearch/index/translog/TranslogManager.java b/server/src/main/java/org/opensearch/index/translog/TranslogManager.java index ec312636e7ee1..83b4260c5f741 100644 --- a/server/src/main/java/org/opensearch/index/translog/TranslogManager.java +++ b/server/src/main/java/org/opensearch/index/translog/TranslogManager.java @@ -185,4 +185,12 @@ public interface TranslogManager extends Closeable { * @return the uuid of the translog */ String getTranslogUUID(); + + /** + * Acquire retention lock on the translog + * @return releasable for releasing the lock + */ + default Closeable acquireHistoryRetentionLock() { + return () -> {}; + } } diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index 7fb34b4673d7f..48dbc983c53b4 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -59,8 +59,10 @@ import org.opensearch.index.shard.ShardPath; import org.opensearch.index.store.FsDirectoryFactory; import org.opensearch.index.store.Store; +import org.opensearch.index.translog.InternalTranslogManager; import org.opensearch.index.translog.Translog; import org.opensearch.index.translog.TranslogConfig; +import org.opensearch.index.translog.TranslogDeletionPolicy; import org.opensearch.plugins.PluginsService; import org.opensearch.plugins.SearchBackEndPlugin; import org.opensearch.test.DummyShardLock; @@ -69,6 +71,7 @@ import org.opensearch.threadpool.TestThreadPool; import org.opensearch.threadpool.ThreadPool; +import java.io.Closeable; import java.io.IOException; import java.nio.file.Path; import java.util.ArrayList; @@ -327,6 +330,64 @@ public void testSequenceNumbersAssignedOnPrimary() throws IOException { } } + /** + * {@link DataFormatAwareEngine#acquireHistoryRetentionLock()} must return a lock that pins a translog + * generation in the deletion policy for as long as it is held, and releases that generation when closed. + * Peer recovery / primary relocation relies on this to keep translog history available for the duration + * of recovery. + */ + public void testAcquireHistoryRetentionLockPinsTranslogGeneration() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + int numDocs = randomIntBetween(1, 20); + for (int i = 0; i < numDocs; i++) { + engine.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + } + + // The retention lock pins a generation in the translog's deletion policy. + TranslogDeletionPolicy deletionPolicy = ((InternalTranslogManager) engine.translogManager()).getTranslog().getDeletionPolicy(); + // No retention locks are held before acquiring one. + deletionPolicy.assertNoOpenTranslogRefs(); + + Closeable retentionLock = engine.acquireHistoryRetentionLock(); + assertThat(retentionLock, notNullValue()); + // While the lock is held there is an open translog reference pinning a generation. + expectThrows(AssertionError.class, deletionPolicy::assertNoOpenTranslogRefs); + + // Releasing the lock releases the pinned generation. + retentionLock.close(); + deletionPolicy.assertNoOpenTranslogRefs(); + } + } + + /** + * {@link DataFormatAwareEngine#countNumberOfHistoryOperations(String, long, long)} must count only the + * operations whose seqNo falls within the requested {@code [fromSeqNo, toSeqNo]} range, de-duplicated -- + * i.e. the operations actually yielded by the changes snapshot for that range, not the raw operation + * count of the underlying translog generations. + */ + public void testCountNumberOfHistoryOperationsRespectsSeqNoRange() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + int numDocs = 10; + for (int i = 0; i < numDocs; i++) { + Engine.IndexResult result = engine.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + assertThat(result.getSeqNo(), equalTo((long) i)); + } + // Ensure the buffered translog operations are durable and readable by the changes snapshot. + engine.translogManager().syncTranslog(); + + // Full range counts every operation. + assertThat(engine.countNumberOfHistoryOperations("test", 0, Long.MAX_VALUE), equalTo(numDocs)); + + // Sub-ranges count only the operations whose seqNo lies within [fromSeqNo, toSeqNo]. + assertThat(engine.countNumberOfHistoryOperations("test", 5, 9), equalTo(5)); + assertThat(engine.countNumberOfHistoryOperations("test", 0, 4), equalTo(5)); + assertThat(engine.countNumberOfHistoryOperations("test", 3, 6), equalTo(4)); + assertThat(engine.countNumberOfHistoryOperations("test", 7, Long.MAX_VALUE), equalTo(3)); + // A range above the highest seqNo contains no operations. + assertThat(engine.countNumberOfHistoryOperations("test", numDocs, Long.MAX_VALUE), equalTo(0)); + } + } + public void testLocalCheckpointAdvancesCorrectly() throws IOException { try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { int numDocs = randomIntBetween(5, 15); diff --git a/server/src/test/java/org/opensearch/index/translog/InternalTranslogManagerTests.java b/server/src/test/java/org/opensearch/index/translog/InternalTranslogManagerTests.java index 92c612f7271b7..237bbe1b7648c 100644 --- a/server/src/test/java/org/opensearch/index/translog/InternalTranslogManagerTests.java +++ b/server/src/test/java/org/opensearch/index/translog/InternalTranslogManagerTests.java @@ -16,6 +16,7 @@ import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.index.translog.listener.TranslogEventListener; +import java.io.Closeable; import java.io.IOException; import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicInteger; @@ -297,4 +298,68 @@ public void onAfterTranslogSync() { translogManager.close(); } } + + /** + * {@link InternalTranslogManager#acquireHistoryRetentionLock()} must return a lock backed by + * {@link Translog#acquireRetentionLock()} that pins a translog generation in the deletion policy while + * it is held, and releases that generation when closed. This is the translog-layer support that + * {@link org.opensearch.index.engine.DataFormatAwareEngine} relies on to keep history available for + * the duration of peer recovery / primary relocation. + */ + public void testAcquireHistoryRetentionLock() throws IOException { + final AtomicLong globalCheckpoint = new AtomicLong(SequenceNumbers.NO_OPS_PERFORMED); + final LocalCheckpointTracker tracker = new LocalCheckpointTracker(NO_OPS_PERFORMED, NO_OPS_PERFORMED); + // Hold a reference to the deletion policy so we can observe the retention locks it tracks. + final TranslogDeletionPolicy deletionPolicy = createTranslogDeletionPolicy(INDEX_SETTINGS); + InternalTranslogManager translogManager = null; + try { + translogManager = new InternalTranslogManager( + new TranslogConfig(shardId, primaryTranslogDir, INDEX_SETTINGS, BigArrays.NON_RECYCLING_INSTANCE, "", false), + primaryTerm, + globalCheckpoint::get, + deletionPolicy, + shardId, + new ReleasableLock(new ReentrantReadWriteLock().readLock()), + () -> tracker, + translogUUID, + TranslogEventListener.NOOP_TRANSLOG_EVENT_LISTENER, + () -> {}, + new InternalTranslogFactory(), + () -> Boolean.TRUE, + TranslogOperationHelper.DEFAULT + ); + + // Index a few operations spread over multiple generations. + final int docs = randomIntBetween(1, 10); + for (int i = 0; i < docs; i++) { + final ParsedDocument doc = testParsedDocument(Integer.toString(i), null, testDocumentWithTextField(), SOURCE, null); + final Engine.Index index = indexForDoc(doc); + final Engine.IndexResult indexResult = new Engine.IndexResult(index.version(), index.primaryTerm(), i, true); + tracker.markSeqNoAsProcessed(i); + translogManager.add(new Translog.Index(index, indexResult)); + translogManager.rollTranslogGeneration(); + } + + // The manager must expose the same deletion policy instance the lock pins against. + assertSame(deletionPolicy, translogManager.getTranslog().getDeletionPolicy()); + + // No retention locks are held before acquiring one. + assertEquals(0, deletionPolicy.pendingTranslogRefCount()); + deletionPolicy.assertNoOpenTranslogRefs(); + + // Acquiring the history retention lock pins a translog generation. + final Closeable retentionLock = translogManager.acquireHistoryRetentionLock(); + assertNotNull(retentionLock); + assertEquals(1, deletionPolicy.pendingTranslogRefCount()); + // While the lock is held there is an open translog reference. + expectThrows(AssertionError.class, deletionPolicy::assertNoOpenTranslogRefs); + + // Releasing the lock releases the pinned generation. + retentionLock.close(); + assertEquals(0, deletionPolicy.pendingTranslogRefCount()); + deletionPolicy.assertNoOpenTranslogRefs(); + } finally { + translogManager.close(); + } + } } From 63e66a34bb7a3a0056e338099599ea339dc99cf0 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Sat, 20 Jun 2026 20:11:56 +0530 Subject: [PATCH 13/94] Fix FilterDelegationGoldenIT to read profile.plan.stages (#22252) The opensearch-sql plugin nests the analytics QueryProfile under a "plan" node (profile envelope {summary, plan, phases}), so the SHARD_FRAGMENT stage list lives at profile.plan.stages. shardFragmentStage() now reads it there. Signed-off-by: Arpit Bandejiya --- .../opensearch/analytics/qa/FilterDelegationGoldenIT.java | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/FilterDelegationGoldenIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/FilterDelegationGoldenIT.java index 4e3557b00c632..87c038db5aaf9 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/FilterDelegationGoldenIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/FilterDelegationGoldenIT.java @@ -266,7 +266,12 @@ private Map shardFragmentStage(Map response) { throw new AssertionError("No 'profile' block in response — request must set profile=true"); } @SuppressWarnings("unchecked") - List> stages = (List>) profile.get("stages"); + Map plan = (Map) profile.get("plan"); + if (plan == null) { + throw new AssertionError("No 'plan' block in profile: " + profile); + } + @SuppressWarnings("unchecked") + List> stages = (List>) plan.get("stages"); for (Map stage : stages) { if ("SHARD_FRAGMENT".equals(stage.get("execution_type"))) return stage; } From 4cc80cfca81c5301ead6fb8d553f50d5472365fe Mon Sep 17 00:00:00 2001 From: Somesh Gupta <35426854+aasom143@users.noreply.github.com> Date: Sat, 20 Jun 2026 21:57:40 +0530 Subject: [PATCH 14/94] =?UTF-8?q?fix:=20Correct=20StatsPruneTree=20rg=5Fca?= =?UTF-8?q?n=5Fmatch=20absolute-to-relative=20index=20t=E2=80=A6=20(#22186?= =?UTF-8?q?)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix: Correct StatsPruneTree rg_can_match absolute-to-relative index translation Add rg_index_to_pos reverse map (absolute RG index → position in rg_can_match vector) to fix incorrect lookups when chunks don't start at RG 0. Previously consumers indexed rg_can_match by absolute rg.index into a subset-relative vector, causing wrong pruning decisions or panics for non-zero-offset chunks. Changes: - Add rg_index_to_pos: HashMap to TreeBitsetSource, SingleCollectorEvaluator, PredicateOnlyEvaluator - Thread rg_index_to_pos through TreeEvaluator::prefetch and bitmap_tree::prefetch_node - Build reverse map from chunk.row_group_indices at each factory site - Enable StatsPruneTree in fuzz harness (prune_tree_config: Some) Tests added: - page_pruner: offset rg_indices [2,3,4] with reverse map verification - bitmap_tree: offset rg_idx not in map (no prune), in map (prune), empty collector bitsets under pruned OR subtree with Predicate nodes - ITs: single/multi segment × single/multi partition with stats pruning enabled end-to-end, direct prefetch_rg assertions for RG prune, offset access, and empty collector bitset registration Signed-off-by: Somesh Gupta * Removed deep clone from StatsPruneTree Signed-off-by: Somesh Gupta --------- Signed-off-by: Somesh Gupta --- .../rust/src/indexed_executor.rs | 24 +- .../src/indexed_table/eval/bitmap_tree.rs | 249 ++++++- .../rust/src/indexed_table/eval/mod.rs | 24 +- .../indexed_table/eval/predicate_evaluator.rs | 29 +- .../indexed_table/eval/single_collector.rs | 38 +- .../rust/src/indexed_table/page_pruner.rs | 76 +- .../rust/src/indexed_table/table_provider.rs | 8 +- .../tests_e2e/constant_predicate.rs | 2 + .../tests_e2e/dynamic_filter_pushdown.rs | 1 + .../tests_e2e/fuzz/delegation.rs | 1 + .../indexed_table/tests_e2e/fuzz/harness.rs | 54 +- .../rust/src/indexed_table/tests_e2e/mod.rs | 3 +- .../indexed_table/tests_e2e/multi_segment.rs | 662 +++++++++++++++++- .../indexed_table/tests_e2e/null_columns.rs | 2 +- .../indexed_table/tests_e2e/page_pruning.rs | 3 +- .../tests_e2e/qtf_fetch_phase.rs | 2 +- .../tests_e2e/row_id_emission.rs | 8 +- .../indexed_table/tests_e2e/schema_drift.rs | 4 +- .../tests_e2e/sort_reverse_row_id.rs | 3 +- .../tests_e2e/streaming_at_scale.rs | 4 +- 20 files changed, 1093 insertions(+), 104 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index d94c706e49ffb..09a691d7fbeda 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -906,7 +906,7 @@ async unsafe fn execute_indexed_with_context_inner( FilterClass::Tree => None, }; - let prune_tree_config = extraction.as_ref().and_then(|e| { + let mut prune_tree_config = extraction.as_ref().and_then(|e| { let mut leaf_exprs: Vec> = Vec::new(); collect_predicate_exprs(&e.tree, &mut leaf_exprs); let leaf_predicates: HashMap> = leaf_exprs @@ -919,7 +919,7 @@ async unsafe fn execute_indexed_with_context_inner( if leaf_predicates.is_empty() { return None; } - Some((e.tree.clone(), Arc::new(leaf_predicates), schema.clone())) + Some((Arc::new(e.tree.clone()), Arc::new(leaf_predicates), schema.clone())) }); let predicate_columns = collect_predicate_column_indices(extraction.as_ref()); @@ -940,11 +940,13 @@ async unsafe fn execute_indexed_with_context_inner( .and_then(|expr| build_pruning_predicate(expr, Arc::clone(&schema_for_pruner))); Arc::new( - move |segment: &SegmentFileInfo, _chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&StatsPruneTree>| { + move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { let pruner = Arc::new(PagePruner::new( &schema_for_pruner, Arc::clone(&segment.metadata), )); + let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); let eval: Arc = Arc::new(crate::indexed_table::eval::predicate_evaluator::PredicateOnlyEvaluator::new( pruner, @@ -952,6 +954,7 @@ async unsafe fn execute_indexed_with_context_inner( residual_expr.clone(), Some(PagePruneMetrics::from_stream_metrics(stream_metrics)), stats_prune_tree.cloned(), + rg_index_to_pos, )); Ok(eval) }, @@ -1017,7 +1020,7 @@ async unsafe fn execute_indexed_with_context_inner( let bloom_schema = schema.clone(); let bloom_on_read = query_config.bloom_filter_on_read; Arc::new( - move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&StatsPruneTree>| { + move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { let collector_opt: Option> = match &correctness_provider { Some(provider) => { let collector = FfmSegmentCollector::create( @@ -1074,6 +1077,7 @@ async unsafe fn execute_indexed_with_context_inner( context_id, bloom_config, stats_prune_tree.cloned(), + chunk.row_group_indices.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), )); Ok(eval) }, @@ -1125,8 +1129,17 @@ async unsafe fn execute_indexed_with_context_inner( .collect(), ); + // Build prune_tree_config from the normalized tree. This ensures + // StatsPruneTree children indices align with ResolvedNode children + // (same push_not_down + flatten normalization applied above). + prune_tree_config = if pruning_predicates.is_empty() { + None + } else { + Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema_for_pruner.clone())) + }; + Arc::new( - move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&StatsPruneTree>| { + move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { // Build one collector per Collector leaf for this chunk. let mut per_leaf: Vec<(i32, Arc)> = Vec::with_capacity(providers.len()); @@ -1171,6 +1184,7 @@ async unsafe fn execute_indexed_with_context_inner( )), collector_strategy, stats_prune_tree: stats_prune_tree.cloned(), + rg_index_to_pos: chunk.row_group_indices.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), }); Ok(eval) }, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs index ce241b62dbcc8..2fcf32e0beaba 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs @@ -89,6 +89,7 @@ impl TreeEvaluator for BitmapTreeEvaluator { pruning_predicates: &HashMap>, page_prune_metrics: Option<&PagePruneMetrics>, stats_prune_tree: Option<&StatsPruneTree>, + rg_index_to_pos: &HashMap, ) -> Result { let mut per_leaf = Vec::new(); let mut dfs_counter = 0usize; @@ -106,6 +107,7 @@ impl TreeEvaluator for BitmapTreeEvaluator { &mut per_leaf, /* under_all_and_path */ true, stats_prune_tree, + rg_index_to_pos, )?; Ok(TreePrefetch { candidates, @@ -184,23 +186,26 @@ fn prefetch_node( out: &mut Vec<(usize, RoaringBitmap)>, under_all_and_path: bool, stats_prune_tree: Option<&StatsPruneTree>, + rg_index_to_pos: &HashMap, ) -> Result { // RG-level subtree pruning: if this subtree provably can't match // the current RG, skip the entire tree walk. Since collectors are // always-true in the resolution, a false here means a Predicate // under AND proved no match — collector bitmaps are irrelevant. if let Some(spt) = stats_prune_tree { - if let Some(&false) = spt.rg_can_match.get(ctx.rg_idx) { - native_bridge_common::log_debug!( - "BitmapTree: skipping subtree for RG {} — pruned by RG-level stats", - ctx.rg_idx - ); - if under_all_and_path { - skip_dfs(node, dfs); - } else { - skip_dfs_with_empty_bitmaps(node, dfs, out); + if let Some(&pos) = rg_index_to_pos.get(&ctx.rg_idx) { + if let Some(&false) = spt.rg_can_match.get(pos) { + native_bridge_common::log_debug!( + "BitmapTree: skipping subtree for RG {} — pruned by RG-level stats", + ctx.rg_idx + ); + if under_all_and_path { + skip_dfs(node, dfs); + } else { + skip_dfs_with_empty_bitmaps(node, dfs, out); + } + return Ok(RoaringBitmap::new()); } - return Ok(RoaringBitmap::new()); } } @@ -231,6 +236,7 @@ fn prefetch_node( out, under_all_and_path, stats_prune_tree.and_then(|spt| spt.children.get(i)), + rg_index_to_pos, )?; result_bitmap = Some(match result_bitmap { None => child_bitmap, @@ -295,6 +301,7 @@ fn prefetch_node( // OR breaks all-AND propagation for its subtree. false, stats_prune_tree.and_then(|spt| spt.children.get(val)), + rg_index_to_pos, )?; result_bitmap |= &filtered_bitmap; @@ -329,6 +336,7 @@ fn prefetch_node( out, /* under_all_and_path */ false, stats_prune_tree.and_then(|spt| spt.children.first()), + rg_index_to_pos, )?; // Candidate-stage is a superset. Inverting a superset does // NOT yield a superset of the true NOT — it yields a subset @@ -1210,7 +1218,7 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); assert_eq!(result.per_leaf.len(), 2); @@ -1224,7 +1232,7 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); assert_eq!(result.candidates, bm(&[1, 2, 3])); } @@ -1237,7 +1245,7 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); // Universe is [0, 16). Minus {0,1,2} = {3..15} let expected: RoaringBitmap = (3u32..16).collect(); @@ -1252,7 +1260,7 @@ mod tests { }; let pruner = empty_pruner(); let state = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])); @@ -1512,7 +1520,7 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1552,7 +1560,7 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); // OR contributes {5} from standalone_leaf → non-empty candidates. assert!(!result.candidates.is_empty()); @@ -1590,7 +1598,7 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); // NOT inverts empty AND → universe. assert_eq!(result.candidates.len(), 16); @@ -1832,7 +1840,7 @@ mod tests { prune_tree_leaf(vec![true]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt)) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1849,7 +1857,7 @@ mod tests { prune_tree_leaf(vec![true]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt)) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); } @@ -1866,7 +1874,7 @@ mod tests { prune_tree_leaf(vec![false]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt)) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1890,7 +1898,7 @@ mod tests { ]); let spt = prune_tree_and(vec![or_spt, prune_tree_leaf(vec![true])]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt)) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) .unwrap(); // collector2 (dfs=0) → {3,4,5}; OR-child1 (dfs=2) → {3,4,5,6}; OR = {3,4,5,6} // AND = {3,4,5} ∩ {3,4,5,6} = {3,4,5} @@ -1913,7 +1921,7 @@ mod tests { ]); let spt = prune_tree_and(vec![or_spt, prune_tree_leaf(vec![true])]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt)) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1926,8 +1934,203 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None) + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); } + + /// When `rg_idx` is an absolute index not present in the reverse map, + /// the subtree must NOT be pruned (conservative: can-match). This + /// exercises the offset RG scenario where a chunk doesn't start at 0. + #[test] + fn stats_prune_tree_offset_rg_idx_not_in_map_does_not_prune() { + // Tree: AND(collector0, collector1) with spt root saying position 0 = false. + // But rg_idx=5 is NOT in the reverse map → should NOT prune. + let tree = ResolvedNode::And(vec![collector_leaf(0), collector_leaf(1)]); + let leaves = FixedLeafBitmaps { + bitmaps: vec![bm(&[1, 2, 3]), bm(&[2, 3, 4])], + }; + let pruner = empty_pruner(); + let spt = prune_tree_and(vec![ + prune_tree_leaf(vec![false]), + prune_tree_leaf(vec![true]), + ]); + // Map has {0→0} but ctx.rg_idx=5 → not in map → no pruning. + let rg_map = HashMap::from([(0usize, 0usize)]); + let mut ctx = test_ctx(); + ctx.rg_idx = 5; + let result = BitmapTreeEvaluator + .prefetch(&tree, &ctx, &leaves, &pruner, &HashMap::new(), None, Some(&spt), &rg_map) + .unwrap(); + // Not pruned — both collectors contribute. + assert_eq!(result.candidates, bm(&[2, 3])); + } + + /// When `rg_idx` IS in the reverse map and maps to a position where + /// `rg_can_match[pos] == false`, the subtree is correctly pruned. + #[test] + fn stats_prune_tree_offset_rg_idx_in_map_prunes_correctly() { + let tree = ResolvedNode::And(vec![collector_leaf(0), collector_leaf(1)]); + let leaves = FixedLeafBitmaps { + bitmaps: vec![bm(&[1, 2, 3]), bm(&[2, 3, 4])], + }; + let pruner = empty_pruner(); + // rg_can_match has 3 positions: [true, false, true] + // RG indices [2,3,4] → map: {2→0, 3→1, 4→2} + let spt = prune_tree_and(vec![ + prune_tree_leaf(vec![true, false, true]), + prune_tree_leaf(vec![true, true, true]), + ]); + let rg_map = HashMap::from([(2usize, 0usize), (3, 1), (4, 2)]); + // rg_idx=3 → pos=1 → root rg_can_match[1] = false (from AND) → pruned + let mut ctx = test_ctx(); + ctx.rg_idx = 3; + let result = BitmapTreeEvaluator + .prefetch(&tree, &ctx, &leaves, &pruner, &HashMap::new(), None, Some(&spt), &rg_map) + .unwrap(); + assert!(result.candidates.is_empty()); + } + + /// Regression: when an AND subtree under an OR is stats-pruned because + /// a native Predicate leaf proves no-match via column stats, all + /// Collector leaves inside the same subtree must still get empty bitmap + /// entries in `per_leaf`. Otherwise on_batch refinement panics with + /// "leaf bitmap missing for key". + /// + /// Realistic tree shape (mirrors a PPL query like + /// `WHERE (GoodEvent=1 AND (match(Title,'x') OR Age>18)) OR match(URL,'y')`): + /// ```text + /// OR + /// / \ + /// AND coll2 + /// / \ + /// Predicate OR(coll0, coll1) + /// ``` + /// Stats prune: AND subtree → false (Predicate child proves no-match). + /// coll0 and coll1 inside the pruned AND must still get empty per_leaf + /// entries since coll2 survives → candidates non-empty → refinement runs. + #[test] + fn stats_prune_under_or_materialises_empty_bitmaps_for_collectors() { + use datafusion::physical_expr::expressions::Literal; + use datafusion::common::ScalarValue; + let always_true_expr: Arc = + Arc::new(Literal::new(ScalarValue::Boolean(Some(true)))); + + // OR(AND(Predicate, OR(coll0, coll1)), coll2) + let tree = ResolvedNode::Or(vec![ + ResolvedNode::And(vec![ + ResolvedNode::Predicate(always_true_expr), + ResolvedNode::Or(vec![collector_leaf(0), collector_leaf(1)]), + ]), + collector_leaf(2), + ]); + // DFS order by cost-sorted evaluation: + // OR sorts: coll2 (cost=10) before AND(Pred+OR) (cost=1+20=21) + // So: coll2 dfs=0, then AND subtree (pruned): Predicate dfs=1, coll0 dfs=2, coll1 dfs=3 + let leaves = FixedLeafBitmaps { + bitmaps: vec![bm(&[5, 6, 7]), bm(&[99]), bm(&[99]), bm(&[99])], + }; + let pruner = empty_pruner(); + // Stats: AND subtree = false (Predicate child stats=false), coll2 = true + let and_spt = prune_tree_and(vec![ + prune_tree_leaf(vec![false]), // Predicate + prune_tree_or(vec![ // OR(coll0, coll1) + prune_tree_leaf(vec![true]), + prune_tree_leaf(vec![true]), + ]), + ]); + let spt = prune_tree_or(vec![and_spt, prune_tree_leaf(vec![true])]); + let result = BitmapTreeEvaluator + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .unwrap(); + // AND subtree pruned → empty; coll2 → {5,6,7}; OR = {5,6,7} + assert_eq!(result.candidates, bm(&[5, 6, 7])); + // Critical: both collector leaves from pruned subtree must have + // per_leaf entries (empty bitmaps) so refinement doesn't panic. + // coll2 (dfs=0) → real bitmap; coll0 (dfs=2), coll1 (dfs=3) → empty. + assert_eq!( + result.per_leaf.len(), + 3, + "stats-pruned collectors under OR must still have per_leaf entries; got {}", + result.per_leaf.len() + ); + // coll2 (dfs=0) gets real bitmap + assert!(!result.per_leaf[0].1.is_empty(), "coll2 should have non-empty bitmap"); + // coll0 (dfs=2) and coll1 (dfs=3) get empty bitmaps from pruned subtree + assert!(result.per_leaf[1].1.is_empty(), "pruned coll0 should have empty bitmap"); + assert!(result.per_leaf[2].1.is_empty(), "pruned coll1 should have empty bitmap"); + } + + /// Same scenario but deeper — mirrors a query like: + /// `WHERE (GoodEvent=1 AND Income>0 AND (match(T,'x') OR Age>18)) OR (match(S,'buy') AND CounterID>100)` + /// + /// ```text + /// AND (root) + /// / \ + /// coll3 OR + /// / \ + /// AND coll2 + /// / \ + /// Predicate OR(coll0, coll1) + /// ``` + /// The inner AND subtree is stats-pruned (Predicate proves no-match). + /// coll0 and coll1 must still get empty per_leaf entries. + #[test] + fn stats_prune_deep_or_under_and_materialises_all_collector_bitmaps() { + use datafusion::physical_expr::expressions::Literal; + use datafusion::common::ScalarValue; + let pred_expr: Arc = + Arc::new(Literal::new(ScalarValue::Boolean(Some(true)))); + + // AND(coll3, OR(AND(Predicate, OR(coll0, coll1)), coll2)) + let tree = ResolvedNode::And(vec![ + collector_leaf(3), + ResolvedNode::Or(vec![ + ResolvedNode::And(vec![ + ResolvedNode::Predicate(pred_expr), + ResolvedNode::Or(vec![collector_leaf(0), collector_leaf(1)]), + ]), + collector_leaf(2), + ]), + ]); + // Cost sort at root AND: coll3(10) before OR(10+1+20=31) + // Cost sort at OR: coll2(10) before AND(Pred+OR=1+20=21) + // DFS: coll3=0, coll2=1, Predicate=2, coll0=3, coll1=4 + let leaves = FixedLeafBitmaps { + bitmaps: vec![bm(&[5, 6, 7, 8]), bm(&[6, 7, 8]), bm(&[99]), bm(&[99]), bm(&[99])], + }; + let pruner = empty_pruner(); + // Stats: outer AND[coll3=true, OR=true] + // OR[inner AND=false (pruned), coll2=true] + // inner AND[Predicate=false, OR(coll0=true, coll1=true)] + let inner_and_spt = prune_tree_and(vec![ + prune_tree_leaf(vec![false]), // Predicate stats=false + prune_tree_or(vec![ + prune_tree_leaf(vec![true]), + prune_tree_leaf(vec![true]), + ]), + ]); + let or_spt = prune_tree_or(vec![inner_and_spt, prune_tree_leaf(vec![true])]); + let spt = prune_tree_and(vec![prune_tree_leaf(vec![true]), or_spt]); + let result = BitmapTreeEvaluator + .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .unwrap(); + // coll3={5,6,7,8}; OR: inner AND pruned→empty, coll2={6,7,8}; OR={6,7,8} + // Final AND = {5,6,7,8} ∩ {6,7,8} = {6,7,8} + assert_eq!(result.candidates, bm(&[6, 7, 8])); + // All 4 collector leaves must have per_leaf entries (coll3, coll2 real; + // coll0, coll1 empty from skip_dfs_with_empty_bitmaps). + assert_eq!( + result.per_leaf.len(), + 4, + "expected 4 per_leaf entries; got {}", + result.per_leaf.len() + ); + // coll3 (dfs=0) and coll2 (dfs=1) are real + assert!(!result.per_leaf[0].1.is_empty(), "coll3 should have non-empty bitmap"); + assert!(!result.per_leaf[1].1.is_empty(), "coll2 should have non-empty bitmap"); + // coll0 (dfs=3) and coll1 (dfs=4) are empty from pruned subtree + assert!(result.per_leaf[2].1.is_empty(), "pruned coll0 should have empty bitmap"); + assert!(result.per_leaf[3].1.is_empty(), "pruned coll1 should have empty bitmap"); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/mod.rs index e00764887b9e1..65d0efd22bf2b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/mod.rs @@ -274,6 +274,7 @@ pub trait TreeEvaluator: Send + Sync { pruning_predicates: &HashMap>, page_prune_metrics: Option<&PagePruneMetrics>, stats_prune_tree: Option<&StatsPruneTree>, + rg_index_to_pos: &HashMap, ) -> Result; /// Refinement stage: produce the exact per-row `BooleanArray` for one @@ -351,7 +352,9 @@ pub struct TreeBitsetSource { /// be expensive in multi-collector trees. pub collector_strategy: CollectorCallStrategy, /// Precomputed per-subtree RG match vectors. Built once at construction. - pub stats_prune_tree: Option, + pub stats_prune_tree: Option>, + /// Reverse map: absolute RG index → position in `rg_can_match` vectors. + pub rg_index_to_pos: HashMap, } impl RowGroupBitsetSource for TreeBitsetSource { @@ -365,12 +368,14 @@ impl RowGroupBitsetSource for TreeBitsetSource { // RG-level early-exit: precomputed from column stats at construction. if let Some(ref ann) = self.stats_prune_tree { - if let Some(&false) = ann.rg_can_match.get(rg.index) { - native_bridge_common::log_debug!( - "BitmapTree: skipping RG {} — pruned by RG-level stats", - rg.index - ); - return Ok(None); + if let Some(&pos) = self.rg_index_to_pos.get(&rg.index) { + if let Some(&false) = ann.rg_can_match.get(pos) { + native_bridge_common::log_debug!( + "BitmapTree: skipping RG {} — pruned by RG-level stats", + rg.index + ); + return Ok(None); + } } } @@ -421,7 +426,8 @@ impl RowGroupBitsetSource for TreeBitsetSource { // inflate counts. We compute final page-level metrics below // after the bitmap tree is fully resolved. None, - self.stats_prune_tree.as_ref(), + self.stats_prune_tree.as_deref(), + &self.rg_index_to_pos, ) .map_err(|e| format!("TreeBitsetSource::prefetch_rg(rg={}): {}", rg.index, e))?; if prefetch.candidates.is_empty() { @@ -773,6 +779,7 @@ mod tests { _pruning_predicates: &HashMap>, _page_prune_metrics: Option<&PagePruneMetrics>, _stats_prune_tree: Option<&StatsPruneTree>, + _rg_index_to_pos: &HashMap, ) -> Result { Ok(TreePrefetch { candidates: roaring::RoaringBitmap::new(), @@ -822,6 +829,7 @@ mod tests { page_prune_metrics: None, collector_strategy: CollectorCallStrategy::TightenOuterBounds, stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }; assert!(!source.needs_row_mask()); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs index ef76ece7c69b8..fe12b2ecf9d98 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs @@ -13,6 +13,7 @@ //! Candidates default to the page-pruned universe; `on_batch_mask` evaluates //! only the residual predicate. +use std::collections::HashMap; use std::sync::Arc; use std::time::Instant; @@ -35,7 +36,9 @@ pub struct PredicateOnlyEvaluator { pruning_predicate: Option>, residual_expr: Option>, page_prune_metrics: Option, - stats_prune_tree: Option, + stats_prune_tree: Option>, + /// Reverse map: absolute RG index → position in `rg_can_match` vectors. + rg_index_to_pos: HashMap, } impl PredicateOnlyEvaluator { @@ -44,7 +47,8 @@ impl PredicateOnlyEvaluator { pruning_predicate: Option>, residual_expr: Option>, page_prune_metrics: Option, - stats_prune_tree: Option, + stats_prune_tree: Option>, + rg_index_to_pos: HashMap, ) -> Self { Self { page_pruner, @@ -52,6 +56,7 @@ impl PredicateOnlyEvaluator { residual_expr, page_prune_metrics, stats_prune_tree, + rg_index_to_pos, } } } @@ -67,12 +72,14 @@ impl RowGroupBitsetSource for PredicateOnlyEvaluator { // RG-level early-exit: precomputed from column stats at construction. if let Some(ref spt) = self.stats_prune_tree { - if let Some(&false) = spt.rg_can_match.get(rg.index) { - native_bridge_common::log_debug!( - "PredicateOnly: skipping RG {} — pruned by RG-level stats", - rg.index - ); - return Ok(None); + if let Some(&pos) = self.rg_index_to_pos.get(&rg.index) { + if let Some(&false) = spt.rg_can_match.get(pos) { + native_bridge_common::log_debug!( + "PredicateOnly: skipping RG {} — pruned by RG-level stats", + rg.index + ); + return Ok(None); + } } } @@ -152,7 +159,7 @@ mod tests { rg_can_match: vec![false], children: vec![], }; - let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(spt)); + let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; assert!(eval.prefetch_rg(&rg, 0, 8).unwrap().is_none()); } @@ -164,7 +171,7 @@ mod tests { rg_can_match: vec![true], children: vec![], }; - let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(spt)); + let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have candidates"); assert_eq!(prefetched.candidates.len(), 8); @@ -173,7 +180,7 @@ mod tests { #[test] fn stats_prune_tree_none_does_not_prune() { let pruner = minimal_page_pruner(); - let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, None); + let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, None, HashMap::new()); let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have candidates"); assert_eq!(prefetched.candidates.len(), 8); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs index 5a573dd4db9f6..006edb8034287 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs @@ -177,7 +177,9 @@ pub struct SingleCollectorEvaluator { /// Bloom filter pruning config. None = disabled. bloom_config: Option, /// Precomputed per-RG/subtree match status from RG-level column stats. - stats_prune_tree: Option, + stats_prune_tree: Option>, + /// Reverse map: absolute RG index → position in `rg_can_match` vectors. + rg_index_to_pos: HashMap, } /// Resources needed for per-RG bloom filter pruning. @@ -205,7 +207,8 @@ impl SingleCollectorEvaluator { delegated_backend_collector_factory: Arc, context_id: i64, bloom_config: Option, - stats_prune_tree: Option, + stats_prune_tree: Option>, + rg_index_to_pos: HashMap, ) -> Self { Self { collector, @@ -221,6 +224,7 @@ impl SingleCollectorEvaluator { context_id, bloom_config, stats_prune_tree, + rg_index_to_pos, } } } @@ -263,12 +267,14 @@ impl RowGroupBitsetSource for SingleCollectorEvaluator { // RG-level early-exit: precomputed from column stats at construction. if let Some(ref spt) = self.stats_prune_tree { - if let Some(&false) = spt.rg_can_match.get(rg.index) { - native_bridge_common::log_debug!( - "SingleCollector: skipping RG {} — pruned by RG-level stats", - rg.index - ); - return Ok(None); + if let Some(&pos) = self.rg_index_to_pos.get(&rg.index) { + if let Some(&false) = spt.rg_can_match.get(pos) { + native_bridge_common::log_debug!( + "SingleCollector: skipping RG {} — pruned by RG-level stats", + rg.index + ); + return Ok(None); + } } } @@ -704,7 +710,7 @@ mod tests { docs: vec![0, 3, 7], }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); let rg = RowGroupInfo { index: 0, @@ -720,7 +726,7 @@ mod tests { fn on_batch_mask_returns_none_for_path_b() { let collector = Arc::new(StubCollector { docs: vec![0] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])); let batch = datafusion::arrow::record_batch::RecordBatch::try_new( schema, @@ -748,7 +754,7 @@ mod tests { // (it's the only post-decode filter we have on this path). let collector = Arc::new(StubCollector { docs: vec![0] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); assert!(eval.needs_row_mask()); } @@ -756,7 +762,7 @@ mod tests { fn empty_match_returns_none() { let collector = Arc::new(StubCollector { docs: vec![] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); let rg = RowGroupInfo { index: 0, first_row: 0, @@ -776,7 +782,7 @@ mod tests { docs: vec![0, 3, 7], }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); let rg = RowGroupInfo { index: 0, @@ -798,7 +804,7 @@ mod tests { rg_can_match: vec![false], children: vec![], }; - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(spt)); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); let rg = RowGroupInfo { index: 0, first_row: 0, @@ -817,7 +823,7 @@ mod tests { rg_can_match: vec![true], children: vec![], }; - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(spt)); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); let rg = RowGroupInfo { index: 0, first_row: 0, @@ -834,7 +840,7 @@ mod tests { docs: vec![1, 5], }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None); + let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); let rg = RowGroupInfo { index: 0, first_row: 0, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs index 5e712bb9db511..47cb30cf62f72 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs @@ -1583,7 +1583,7 @@ mod tests { Arc::new(Int32Array::from(vec![0, 5, 10, 17])), ], ) - .unwrap(); + .unwrap(); let tmp = NamedTempFile::new().unwrap(); let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), file_schema, None).unwrap(); w.write(&batch).unwrap(); @@ -1601,4 +1601,78 @@ mod tests { "severity >= 0 is always true; eval_leaf must not prune under schema drift" ); } + + /// Verifies that `build_from_bool_node` works correctly when + /// `rg_indices` is a subset that doesn't start at 0 (e.g. chunk + /// contains RGs [2,3,4] out of a 5-RG file). The `rg_can_match` + /// vector should be 3 elements long, indexed 0..2 mapping to + /// absolute RGs 2,3,4. Consumers use a reverse map to translate. + #[test] + fn stats_prune_tree_offset_rg_indices() { + use crate::indexed_table::bool_tree::BoolNode; + + // 5 RGs: price [0..9], [10..19], [20..29], [30..39], [40..49] + let schema = Arc::new(Schema::new(vec![Field::new("price", DataType::Int32, false)])); + let tmp = NamedTempFile::new().unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(10) + .set_statistics_enabled(EnabledStatistics::Chunk) + .build(); + let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), schema.clone(), Some(props)).unwrap(); + for i in 0..5i32 { + let vals: Vec = (i * 10..(i + 1) * 10).collect(); + let batch = RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vals))]).unwrap(); + w.write(&batch).unwrap(); + } + w.close().unwrap(); + let meta = ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()).unwrap(); + let arc_meta = meta.metadata().clone(); + assert_eq!(arc_meta.num_row_groups(), 5); + + // Chunk only has RGs [2, 3, 4] (prices [20..49]) + let rg_indices: Vec = vec![2, 3, 4]; + + // price < 35 → full file would be [T,T,T,T,F]; subset [2,3,4] → [T,T,F] + let p1 = pred_leaf("price", Operator::Lt, 35, &schema); + // price >= 30 → full file would be [F,F,F,T,T]; subset [2,3,4] → [F,T,T] + let p2 = pred_leaf("price", Operator::GtEq, 30, &schema); + + // AND(p1, p2) on subset → [T,T,F] & [F,T,T] = [F,T,F] + let tree = BoolNode::And(vec![p1.clone(), p2.clone()]); + + let mut leaf_predicates: HashMap> = HashMap::new(); + for node in [&p1, &p2] { + if let BoolNode::Predicate(expr) = node { + let key = Arc::as_ptr(expr) as *const () as usize; + let pp = build_pruning_predicate(expr, schema.clone()).unwrap(); + leaf_predicates.insert(key, pp); + } + } + + let spt = StatsPruneTree::build_from_bool_node( + &tree, &leaf_predicates, &arc_meta, &schema, &rg_indices, + ); + + // rg_can_match is 3 elements (one per chunk RG), relative indexing. + assert_eq!(spt.rg_can_match.len(), 3); + // Position 0 → absolute RG 2 (price [20..29]): p1=T, p2=F → AND=F + // Position 1 → absolute RG 3 (price [30..39]): p1=T, p2=T → AND=T + // Position 2 → absolute RG 4 (price [40..49]): p1=F, p2=T → AND=F + assert_eq!(spt.rg_can_match, vec![false, true, false]); + + // Verify consumer-side reverse map lookup works correctly: + let rg_index_to_pos: HashMap = rg_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + + // Absolute RG 3 should map to position 1 → can_match = true + let pos = rg_index_to_pos.get(&3).unwrap(); + assert_eq!(spt.rg_can_match[*pos], true); + + // Absolute RG 2 should map to position 0 → can_match = false + let pos = rg_index_to_pos.get(&2).unwrap(); + assert_eq!(spt.rg_can_match[*pos], false); + + // Absolute RG 0 (not in chunk) should have no entry + assert!(rg_index_to_pos.get(&0).is_none()); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs index ec390e9d357ba..730fae5dd798b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs @@ -113,7 +113,7 @@ pub type EvaluatorFactory = Arc< &SegmentFileInfo, &SegmentChunk, &StreamMetrics, - Option<&StatsPruneTree>, + Option<&Arc>, ) -> Result, String> + Send + Sync, @@ -195,7 +195,7 @@ pub struct IndexedTableConfig { /// Query-level data for building StatsPruneTree per segment. /// (BoolNode tree, prebuilt PruningPredicates keyed by Arc ptr, schema) pub prune_tree_config: Option<( - BoolNode, + Arc, Arc>>, SchemaRef, )>, @@ -646,9 +646,9 @@ impl ExecutionPlan for QueryShardExec { // Build stats prune tree for segment/RG/subtree-level pruning. let stats_prune_tree = self.config.prune_tree_config.as_ref().map(|(tree, preds, schema)| { let rg_indices: Vec = row_groups.iter().map(|rg| rg.index).collect(); - StatsPruneTree::build_from_bool_node( + Arc::new(StatsPruneTree::build_from_bool_node( tree, preds, &segment.metadata, schema, &rg_indices, - ) + )) }); // Segment-level skip: if no RG in the chunk can match, skip entirely. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs index a235770b210a0..ccdb58cd853c1 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs @@ -11,6 +11,7 @@ //! `no index_filter(...) in plan`. Asserts constant-true keeps every row and //! constant-false drops every row (the residual is evaluated, not ignored). +use std::collections::HashMap; use std::sync::Arc; use datafusion::arrow::array::{Array, Int32Array, StringArray}; @@ -90,6 +91,7 @@ async fn run_constant_residual(residual: Arc) -> usize { Some(Arc::clone(&residual)), Some(PagePruneMetrics::from_stream_metrics(stream_metrics)), None, + HashMap::new(), )); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs index 67f6fbf197a0e..6a972d942d1ac 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs @@ -157,6 +157,7 @@ async fn run_indexed( 0, None, None, + std::collections::HashMap::new(), ), ); Ok(eval) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs index 562c14178b126..562b757cb8f33 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs @@ -421,6 +421,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_delegation_tree( 0, None, None, + HashMap::new(), )); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs index 87ff2ea1d0174..1e4ece4a1043a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs @@ -13,6 +13,7 @@ //! is paid once per test, then many iterations run cheap tree //! generation + execution against the same file. +use std::collections::HashMap; use std::sync::Arc; use datafusion::arrow::array::{Array, Int32Array}; @@ -213,32 +214,36 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown let cfg_target_partitions = _corpus.config.target_partitions; let cfg_min_skip_run = _corpus.config.min_skip_run_override; + // Build per-leaf PruningPredicates the same way indexed_executor.rs + // does in production, so our harness exercises real page-pruning + // behavior instead of silently falling back to universe bitmaps. + let mut leaf_exprs: Vec> = Vec::new(); + collect_predicate_exprs_harness(&bool_tree, &mut leaf_exprs); + let pruning_predicates: Arc< + std::collections::HashMap< + usize, + Arc, + >, + > = Arc::new( + leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, loaded.schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(), + ); + let factory: EvaluatorFactory = { let per_leaf = per_leaf.clone(); let tree = Arc::clone(&bool_tree); let schema = loaded.schema.clone(); - // Build per-leaf PruningPredicates the same way indexed_executor.rs - // does in production, so our harness exercises real page-pruning - // behavior instead of silently falling back to universe bitmaps. - let mut leaf_exprs: Vec> = Vec::new(); - collect_predicate_exprs_harness(&bool_tree, &mut leaf_exprs); - let pruning_predicates: Arc< - std::collections::HashMap< - usize, - Arc, - >, - > = Arc::new( - leaf_exprs - .iter() - .filter_map(|expr| { - crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) - .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) - }) - .collect(), - ); - Arc::new(move |segment, _chunk, stream_metrics, _stats_prune_tree| { + let pruning_predicates = Arc::clone(&pruning_predicates); + Arc::new(move |segment, chunk, stream_metrics, stats_prune_tree| { let resolved = tree.resolve(&per_leaf)?; let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); + let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); let eval: Arc = Arc::new(TreeBitsetSource { tree: Arc::new(resolved), evaluator: Arc::new(BitmapTreeEvaluator), @@ -266,7 +271,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown crate::indexed_table::eval::CollectorCallStrategy::FullRange, crate::indexed_table::eval::CollectorCallStrategy::PageRangeSplit, ][seed as usize % 3], - stats_prune_tree: None, + stats_prune_tree: stats_prune_tree.cloned(), rg_index_to_pos, }); Ok(eval) }) @@ -294,7 +299,11 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown query_config: Arc::new(qc), predicate_columns: collect_predicate_column_indices(&bool_tree), emit_row_ids: false, - prune_tree_config: None, + prune_tree_config: Some(( + Arc::clone(&bool_tree), + Arc::clone(&pruning_predicates), + loaded.schema.clone(), + )), sort_fields: vec![], sort_orders: vec![], })); @@ -410,6 +419,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_single_collector( 0, None, None, + std::collections::HashMap::new(), )); let _ = segment; Ok(eval) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs index 662b71accee58..a97477e79300b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs @@ -15,6 +15,7 @@ #![cfg(test)] +use std::collections::HashMap; use std::sync::Arc; use std::sync::OnceLock; @@ -273,7 +274,7 @@ async fn run_tree_and_plan( ), ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs index 1c7d54eb95a46..650de26d4d0f8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs @@ -164,6 +164,7 @@ async fn run_two_segment_query( 0, None, None, + std::collections::HashMap::new(), ), ); Ok(eval) @@ -376,6 +377,7 @@ async fn run_two_segment_query_witness( 0, None, None, + std::collections::HashMap::new(), ), ); Ok(eval) @@ -586,6 +588,7 @@ async fn run_segments(specs: Vec, num_partitions: usize) -> Vec<(i32, S 0, None, None, + std::collections::HashMap::new(), ), ); Ok(eval) @@ -1094,7 +1097,7 @@ async fn run_wide_segments( pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }, ); Ok(eval) @@ -1318,3 +1321,660 @@ async fn wide_multi_segment_deep_tree_four_predicate_columns() { assert_eq!(rows, expected, "np={} failed", np); } } + +// ── StatsPruneTree integration with offset RG indices ─────────────── +// +// These tests exercise the full pipeline with `prune_tree_config: Some(...)` +// enabled, causing `table_provider` to build `StatsPruneTree` per chunk. +// Verifies correctness when chunks have offset RG indices and when AND +// subtrees with native predicates get stats-pruned while OR subtrees +// containing collectors still produce empty bitmaps. +// +// Tree shape: AND(Predicate(price > X), OR(Collector, Predicate(qty/active))) +// Mirrors the failing PPL pattern. + +fn collect_pred_exprs( + tree: &BoolNode, + out: &mut Vec>, +) { + match tree { + BoolNode::And(c) | BoolNode::Or(c) => c.iter().for_each(|ch| collect_pred_exprs(ch, out)), + BoolNode::Not(inner) => collect_pred_exprs(inner, out), + BoolNode::Collector { .. } => {} + BoolNode::Predicate(expr) => out.push(Arc::clone(expr)), + BoolNode::DelegationPossible { original_expr, .. } => out.push(Arc::clone(original_expr)), + } +} + +async fn run_wide_segments_with_stats_pruning( + specs: Vec, + tree: BoolNode, + num_partitions: usize, +) -> Vec<(i32, i32, i32, String, bool)> { + #[derive(Debug)] + struct AllDocs; + impl RowGroupDocsCollector for AllDocs { + fn collect_packed_u64_bitset( + &self, + min_doc: i32, + max_doc: i32, + ) -> Result, String> { + let span = (max_doc - min_doc) as usize; + let mut out = vec![0u64; span.div_ceil(64)]; + for i in 0..span { + out[i / 64] |= 1u64 << (i % 64); + } + Ok(out) + } + } + + let tmps: Vec = specs + .iter() + .map(|s| write_wide_segment(s.brand, s.rows, s.max_rg_rows)) + .collect(); + + let mut segments: Vec = Vec::new(); + let mut schema_opt: Option = None; + for (ord, tmp) in tmps.iter().enumerate() { + let path = tmp.path().to_path_buf(); + let size = std::fs::metadata(&path).unwrap().len(); + let file = std::fs::File::open(&path).unwrap(); + let meta = + ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)) + .unwrap(); + if schema_opt.is_none() { + schema_opt = Some(meta.schema().clone()); + } + let parquet_meta = meta.metadata().clone(); + let mut rgs = Vec::new(); + let mut offset = 0i64; + for i in 0..parquet_meta.num_row_groups() { + let n = parquet_meta.row_group(i).num_rows(); + rgs.push(RowGroupInfo { + index: i, + first_row: offset, + num_rows: n, + }); + offset += n; + } + let object_path = object_store::path::Path::from(path.to_string_lossy().as_ref()); + segments.push(SegmentFileInfo { + writer_generation: ord as i64, + max_doc: offset, + object_path, + parquet_size: size, + row_groups: rgs, + metadata: Arc::clone(&parquet_meta), + global_base: 0, + sort_min: None, + sort_max: None, + }); + } + + let schema = schema_opt.unwrap(); + let tree = tree.push_not_down().flatten(); + + let mut leaf_exprs: Vec> = Vec::new(); + collect_pred_exprs(&tree, &mut leaf_exprs); + let pruning_predicates: Arc>> = Arc::new( + leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(), + ); + + let tree = Arc::new(tree); + + let factory: super::super::table_provider::EvaluatorFactory = { + let tree = Arc::clone(&tree); + let schema = schema.clone(); + let pruning_predicates = Arc::clone(&pruning_predicates); + Arc::new(move |segment, chunk, stream_metrics, stats_prune_tree| { + let leaf_count = tree.collector_leaf_count(); + let per_leaf: Vec<(i32, Arc)> = (0..leaf_count) + .map(|i| (i as i32, Arc::new(AllDocs) as Arc)) + .collect(); + let resolved = tree.resolve(&per_leaf)?; + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); + let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let eval: Arc = Arc::new( + crate::indexed_table::eval::TreeBitsetSource { + tree: Arc::new(resolved), + evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), + leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + page_pruner: pruner, + cost_predicate: 1, + cost_collector: 10, + max_collector_parallelism: 1, + pruning_predicates: Arc::clone(&pruning_predicates), + page_prune_metrics: Some( + crate::indexed_table::page_pruner::PagePruneMetrics::from_stream_metrics(stream_metrics), + ), + collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: stats_prune_tree.cloned(), + rg_index_to_pos, + }, + ); + Ok(eval) + }) + }; + + let store: Arc = + Arc::new(object_store::local::LocalFileSystem::new()); + let store_url = datafusion::execution::object_store::ObjectStoreUrl::local_filesystem(); + let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() + .target_partitions(num_partitions) + .force_strategy(Some(FilterStrategy::BooleanMask)) + .force_pushdown(Some(false)) + .build(); + let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { + schema: schema.clone(), + segments, + store, + store_url, + evaluator_factory: factory, + pushdown_predicate: None, + query_config: std::sync::Arc::new(qc), + predicate_columns: vec![], + emit_row_ids: false, + prune_tree_config: Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema.clone())), + sort_fields: vec![], + sort_orders: vec![], + })); + + let ctx = SessionContext::new(); + ctx.register_table("t", provider).unwrap(); + let df = ctx.sql("SELECT brand, price, qty, region, active FROM t").await.unwrap(); + let mut stream = df.execute_stream().await.unwrap(); + let mut rows: Vec<(i32, i32, i32, String, bool)> = Vec::new(); + while let Some(batch) = stream.next().await { + let b = batch.unwrap(); + let brand = b.column(0).as_any().downcast_ref::().unwrap(); + let price = b.column(1).as_any().downcast_ref::().unwrap(); + let qty = b.column(2).as_any().downcast_ref::().unwrap(); + let region = b.column(3).as_any().downcast_ref::().unwrap(); + let active = b.column(4).as_any().downcast_ref::().unwrap(); + for i in 0..b.num_rows() { + let ord = specs.iter().position(|s| s.brand == brand.value(i)).unwrap_or(0) as i32; + rows.push((ord, price.value(i), qty.value(i), region.value(i).to_string(), active.value(i))); + } + } + rows.sort(); + rows +} + +/// Single segment (4 RGs of 4 rows), single partition. +/// Tree: AND(price > 50, OR(Collector, qty < 3)) +/// RGs with prices [0..30] are stats-pruned by `price > 50`. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_single_segment_single_partition() { + let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let tree = BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 50), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("qty", Operator::Lt, 3), + ]), + ]); + // Collector matches all docs; OR(all, qty<3) = all; so just price > 50. + let expected = wide_oracle(&specs, |i| (i as i32) * 10 > 50); + let rows = run_wide_segments_with_stats_pruning(specs, tree, 1).await; + assert_eq!(rows, expected); +} + +/// Single segment (4 RGs), multi partition (4 partitions → 1 RG per chunk). +/// Each chunk has rg_indices=[N] where N>0 for non-first chunks. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_single_segment_multi_partition() { + let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let tree = BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 50), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("qty", Operator::Lt, 3), + ]), + ]); + let expected = wide_oracle(&specs, |i| (i as i32) * 10 > 50); + let rows = run_wide_segments_with_stats_pruning(specs, tree, 4).await; + assert_eq!(rows, expected); +} + +/// Multi segment (4 segments × 4 RGs), single partition. +/// All segments in one partition — verifies stats pruning across segments. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_multi_segment_single_partition() { + let specs = wide_four_seg_specs(); + let tree = BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 80), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_bool("active", Operator::Eq, true), + ]), + ]); + let expected = wide_oracle(&specs, |i| (i as i32) * 10 > 80); + let rows = run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree, 1).await; + assert_eq!(rows, expected); +} + +/// Multi segment (4 segments × 4 RGs), multi partition (2, 3, 5, 8). +/// Maximum fragmentation — chunks split across segments with offset RGs. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_multi_segment_multi_partition() { + let specs = wide_four_seg_specs(); + let tree = BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 80), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_bool("active", Operator::Eq, true), + ]), + ]); + let expected = wide_oracle(&specs, |i| (i as i32) * 10 > 80); + for np in [2usize, 3, 5, 8] { + let rows = run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; + assert_eq!(rows, expected, "np={} failed", np); + } +} + +/// Deep tree with NOT under multi-partition multi-segment. +/// AND(NOT(price < 40), OR(Collector, qty >= 5)) +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_multi_segment_multi_partition_with_not() { + let specs = wide_four_seg_specs(); + let tree = BoolNode::And(vec![ + BoolNode::Not(Box::new(pred_wide_int("price", Operator::Lt, 40))), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("qty", Operator::GtEq, 5), + ]), + ]); + // NOT is conservative in stats (always true), so actual predicate filters. + let expected = wide_oracle(&specs, |i| !((i as i32) * 10 < 40)); + for np in [1usize, 3, 5] { + let rows = run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; + assert_eq!(rows, expected, "np={} failed", np); + } +} + +/// Directly exercises `prefetch_rg` to assert: +/// 1. RGs with stats that prove no-match return `None` (pruned) +/// 2. RGs at offset indices (index > 0) are correctly handled +/// 3. Empty collector bitsets are produced for pruned subtrees +/// +/// Uses a single segment with 4 RGs (prices [0..30],[30..70],[70..110],[110..150]) +/// and tree AND(price > 60, OR(Collector, qty < 2)). +/// RG0 and RG1 should be pruned (max price < 60). RG2 and RG3 survive. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { + use crate::indexed_table::page_pruner::StatsPruneTree; + + // Build a segment with 4 RGs of 4 rows each. + // prices: [0,10,20,30], [40,50,60,70], [80,90,100,110], [120,130,140,150] + let spec = WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }; + let tmp = write_wide_segment(spec.brand, spec.rows, spec.max_rg_rows); + let path = tmp.path().to_path_buf(); + let file = std::fs::File::open(&path).unwrap(); + let meta = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); + let parquet_meta = meta.metadata().clone(); + let schema = meta.schema().clone(); + assert_eq!(parquet_meta.num_row_groups(), 4); + + // Tree: AND(price > 60, OR(Collector, qty < 2)) + let tree = BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 60), + BoolNode::Or(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("qty", Operator::Lt, 2), + ]), + ]); + let tree = tree.push_not_down().flatten(); + + // Build pruning predicates. + let mut leaf_exprs: Vec> = Vec::new(); + collect_pred_exprs(&tree, &mut leaf_exprs); + let pruning_predicates: HashMap> = + leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(); + + // Simulate a chunk with RGs [2, 3] (offset — doesn't start at 0). + let rg_indices: Vec = vec![2, 3]; + let spt = StatsPruneTree::build_from_bool_node( + &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices, + ); + + // Assert: rg_can_match for position 0 (RG2, prices 80-110) should be true (price>60 matches). + // Assert: rg_can_match for position 1 (RG3, prices 120-150) should be true. + let rg_index_to_pos: HashMap = rg_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + assert_eq!(spt.rg_can_match.len(), 2, "subset-relative: 2 RGs in chunk"); + assert!(spt.rg_can_match[0], "RG2 (prices 80-110) should match price>60"); + assert!(spt.rg_can_match[1], "RG3 (prices 120-150) should match price>60"); + + // Now simulate a chunk with RGs [0, 1] — these SHOULD be pruned. + let rg_indices_low: Vec = vec![0, 1]; + let spt_low = StatsPruneTree::build_from_bool_node( + &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices_low, + ); + // RG0 (prices 0-30): price>60 → false → AND=false + assert!(!spt_low.rg_can_match[0], "RG0 (prices 0-30) should be pruned by price>60"); + // RG1 (prices 40-70): price>60 might be true for row with price=70 + // (stats: min=40, max=70, so max > 60 → can_match=true at RG stats level) + // This is expected: stats pruning is conservative. + + // Build a TreeBitsetSource with the offset chunk [2,3] and call prefetch_rg. + #[derive(Debug)] + struct AllDocs; + impl RowGroupDocsCollector for AllDocs { + fn collect_packed_u64_bitset(&self, min_doc: i32, max_doc: i32) -> Result, String> { + let span = (max_doc - min_doc) as usize; + let mut out = vec![0u64; span.div_ceil(64)]; + for i in 0..span { out[i / 64] |= 1u64 << (i % 64); } + Ok(out) + } + } + + let tree_arc = Arc::new(tree); + let per_leaf: Vec<(i32, Arc)> = vec![ + (0, Arc::new(AllDocs) as Arc), + ]; + let resolved = tree_arc.resolve(&per_leaf).unwrap(); + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))); + + let source = crate::indexed_table::eval::TreeBitsetSource { + tree: Arc::new(resolved), + evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), + leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + page_pruner: pruner, + cost_predicate: 1, + cost_collector: 10, + max_collector_parallelism: 1, + pruning_predicates: Arc::new(pruning_predicates), + page_prune_metrics: None, + collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: Some(Arc::new(spt_low)), + rg_index_to_pos: rg_indices_low.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), + }; + + // Assert: prefetch_rg for RG0 (offset index 0, pruned) returns None. + let rg0 = RowGroupInfo { index: 0, first_row: 0, num_rows: 4 }; + let result_rg0 = source.prefetch_rg(&rg0, 0, 4).unwrap(); + assert!(result_rg0.is_none(), "RG0 should be pruned by stats (price>60 fails for prices 0-30)"); + + // Assert: prefetch_rg for RG1 at offset index 1 — may or may not be pruned + // depending on stats (max price in RG1 is 70 which > 60, so can_match=true). + let rg1 = RowGroupInfo { index: 1, first_row: 4, num_rows: 4 }; + let result_rg1 = source.prefetch_rg(&rg1, 4, 8).unwrap(); + // RG1 (prices 40-70): max=70 > 60, so stats say can-match. Not pruned. + assert!(result_rg1.is_some(), "RG1 (max price=70) should not be stats-pruned"); + + // Now build source for chunk [2,3] — both survive. Verify offset lookup works. + let source2 = crate::indexed_table::eval::TreeBitsetSource { + tree: source.tree.clone(), + evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), + leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + page_pruner: Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))), + cost_predicate: 1, + cost_collector: 10, + max_collector_parallelism: 1, + pruning_predicates: source.pruning_predicates.clone(), + page_prune_metrics: None, + collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: Some(Arc::new(spt)), + rg_index_to_pos: rg_index_to_pos, + }; + + // RG2 at absolute index 2: should NOT be pruned (prices 80-110, all > 60). + let rg2 = RowGroupInfo { index: 2, first_row: 8, num_rows: 4 }; + let result_rg2 = source2.prefetch_rg(&rg2, 8, 12).unwrap(); + assert!(result_rg2.is_some(), "RG2 at offset index should not be pruned"); + // Verify the collector bitmap is non-empty (all docs match). + let prefetched = result_rg2.unwrap(); + assert!(!prefetched.candidates.is_empty(), "RG2 should have non-empty candidates"); + + // RG3 at absolute index 3: should NOT be pruned. + let rg3 = RowGroupInfo { index: 3, first_row: 12, num_rows: 4 }; + let result_rg3 = source2.prefetch_rg(&rg3, 12, 16).unwrap(); + assert!(result_rg3.is_some(), "RG3 at offset index should not be pruned"); +} + +/// Directly asserts that when a subtree under OR is stats-pruned, the +/// collector inside it gets an empty bitmap in `per_leaf`. +/// +/// Tree: OR(AND(price > 100, Collector0), Collector1) +/// For RG1 (prices 40-70): AND subtree is pruned (price>100 fails). +/// Collector1 survives → RG not skipped → refinement runs. +/// Collector0 must have an empty per_leaf entry. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { + use crate::indexed_table::eval::RowGroupBitsetSource; + use crate::indexed_table::page_pruner::StatsPruneTree; + + let spec = WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }; + let tmp = write_wide_segment(spec.brand, spec.rows, spec.max_rg_rows); + let path = tmp.path().to_path_buf(); + let file = std::fs::File::open(&path).unwrap(); + let meta = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); + let parquet_meta = meta.metadata().clone(); + let schema = meta.schema().clone(); + + // Tree: OR(AND(price > 100, Collector0), Collector1) + // Collector0 is under AND with a predicate that fails for low-price RGs. + // Collector1 always matches → OR always has candidates. + let tree = BoolNode::Or(vec![ + BoolNode::And(vec![ + pred_wide_int("price", Operator::Gt, 100), + BoolNode::Collector { annotation_id: 0 }, + ]), + BoolNode::Collector { annotation_id: 1 }, + ]); + let tree = tree.push_not_down().flatten(); + + let mut leaf_exprs: Vec> = Vec::new(); + collect_pred_exprs(&tree, &mut leaf_exprs); + let pruning_predicates: HashMap> = + leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(); + + // Chunk with RG1 only (prices 40-70). Offset index = 1. + let rg_indices: Vec = vec![1]; + let spt = StatsPruneTree::build_from_bool_node( + &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices, + ); + // Root OR should still be true (Collector1 child is always-true). + assert!(spt.rg_can_match[0], "OR root should be true (Collector1 always matches)"); + // AND child should be false (price>100 fails for RG1 max=70). + assert!(!spt.children[0].rg_can_match[0], "AND(price>100, Coll0) should be false for RG1"); + // Collector1 child should be true. + assert!(spt.children[1].rg_can_match[0], "Collector1 should be true"); + + // Build evaluator and call prefetch_rg for RG1. + #[derive(Debug)] + struct AllDocs; + impl RowGroupDocsCollector for AllDocs { + fn collect_packed_u64_bitset(&self, min_doc: i32, max_doc: i32) -> Result, String> { + let span = (max_doc - min_doc) as usize; + let mut out = vec![0u64; span.div_ceil(64)]; + for i in 0..span { out[i / 64] |= 1u64 << (i % 64); } + Ok(out) + } + } + + let per_leaf: Vec<(i32, Arc)> = vec![ + (0, Arc::new(AllDocs) as Arc), + (1, Arc::new(AllDocs) as Arc), + ]; + let resolved = Arc::new(tree).resolve(&per_leaf).unwrap(); + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))); + let rg_index_to_pos: HashMap = rg_indices.iter() + .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + + let source = crate::indexed_table::eval::TreeBitsetSource { + tree: Arc::new(resolved), + evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), + leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + page_pruner: pruner, + cost_predicate: 1, + cost_collector: 10, + max_collector_parallelism: 1, + pruning_predicates: Arc::new(pruning_predicates), + page_prune_metrics: None, + collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: Some(Arc::new(spt)), + rg_index_to_pos, + }; + + // RG1 at absolute index 1: NOT pruned at root (OR is true). + let rg1 = RowGroupInfo { index: 1, first_row: 4, num_rows: 4 }; + let result = source.prefetch_rg(&rg1, 4, 8).unwrap(); + assert!(result.is_some(), "RG1 should NOT be pruned at root (OR has surviving child)"); + + let prefetched = result.unwrap(); + // Candidates should be non-empty (Collector1 matches all docs). + assert!(!prefetched.candidates.is_empty(), "Collector1 should produce non-empty candidates"); + + // Downcast context to TreePrefetch to inspect per_leaf bitmaps. + let tree_prefetch = prefetched.context + .downcast_ref::() + .expect("context should be TreePrefetch"); + + // Critical assertion: per_leaf must have 2 entries (one per collector). + assert_eq!( + tree_prefetch.per_leaf.len(), 2, + "both collectors must have per_leaf entries; got {}", + tree_prefetch.per_leaf.len() + ); + + // Collector0 (inside pruned AND subtree) must have EMPTY bitmap. + let has_empty = tree_prefetch.per_leaf.iter().any(|(_, bm)| bm.is_empty()); + assert!(has_empty, "pruned Collector0 should have an empty bitmap in per_leaf"); + + // Collector1 (surviving) must have NON-EMPTY bitmap. + let has_nonempty = tree_prefetch.per_leaf.iter().any(|(_, bm)| !bm.is_empty()); + assert!(has_nonempty, "surviving Collector1 should have a non-empty bitmap in per_leaf"); +} + +/// Regression test for the flatten-misalignment bug: when the BoolNode tree +/// used for StatsPruneTree is not normalized (push_not_down + flatten), child +/// indices in spt.children don't match ResolvedNode children, causing the +/// wrong branch's rg_can_match to be applied — pruning rows that match via +/// a sibling OR branch. +/// +/// Scenario: 3-way OR built as nested OR(OR(A,B), C) — after flatten becomes +/// OR(A, B, C). Each AND branch pairs a Collector with a Predicate. One +/// Predicate is prunable by RG stats. The test verifies that rows matching +/// a non-pruned branch still appear in results regardless of clause ordering. +/// +/// Tree: OR(AND(Collector0, price > 100), AND(Collector1, region = "us-east"), AND(Collector2, qty > 5)) +/// Data: 16 rows, 4 RGs of 4 rows each. +/// prices: 0,10,20,30 | 40,50,60,70 | 80,90,100,110 | 120,130,140,150 +/// qtys: 0,1,2,3 | 4,5,6,0 | 1,2,3,4 | 5,6,0,1 +/// regions: us-east,us-west,eu-west,us-east | us-west,eu-west,us-east,us-west | ... +/// +/// RG0: price max=30 → price>100 pruned. RG0 has region="us-east" rows → branch1 should match. +/// Without the fix, branch0's pruning would incorrectly affect branch1. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_three_way_or_flatten_misalignment_regression() { + let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + + // Build as nested OR(OR(A,B), C) — this is how convert_expr produces it + // from `A OR B OR C` (left-associative binary OR). + let tree = BoolNode::Or(vec![ + BoolNode::Or(vec![ + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("price", Operator::Gt, 100), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 1 }, + pred_wide_str("region", Operator::Eq, "us-east"), + ]), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 2 }, + pred_wide_int("qty", Operator::Gt, 5), + ]), + ]); + + // Oracle: row matches if (price > 100) OR (region == "us-east") OR (qty > 5) + let expected = wide_oracle(&specs, |i| { + let price = (i as i32) * 10; + let qty = (i as i32) % 7; + let region = match i % 3 { + 0 => "us-east", + 1 => "us-west", + _ => "eu-west", + }; + price > 100 || region == "us-east" || qty > 5 + }); + + let rows = run_wide_segments_with_stats_pruning(specs, tree, 1).await; + assert_eq!(rows, expected, "3-way OR with nested structure must produce correct results after flatten"); +} + +/// Same as above but tests different clause orderings to ensure no +/// order-dependent pruning bugs. +#[tokio::test(flavor = "multi_thread", worker_threads = 2)] +async fn stats_prune_three_way_or_ordering_independence() { + let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + + let expected = wide_oracle(&specs, |i| { + let price = (i as i32) * 10; + let qty = (i as i32) % 7; + let region = match i % 3 { + 0 => "us-east", + 1 => "us-west", + _ => "eu-west", + }; + price > 100 || region == "us-east" || qty > 5 + }); + + // All 3 orderings of a nested OR that flatten differently. + let orderings: Vec = vec![ + // OR(OR(A,B), C) + BoolNode::Or(vec![ + BoolNode::Or(vec![ + BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), + BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), + ]), + BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), + ]), + // OR(A, OR(B,C)) + BoolNode::Or(vec![ + BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), + BoolNode::Or(vec![ + BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), + BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), + ]), + ]), + // OR(OR(B,C), A) + BoolNode::Or(vec![ + BoolNode::Or(vec![ + BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), + BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), + ]), + BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), + ]), + ]; + + for (idx, tree) in orderings.into_iter().enumerate() { + let rows = run_wide_segments_with_stats_pruning( + vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }], + tree, + 1, + ).await; + assert_eq!(rows, expected, "ordering {} produced wrong results", idx); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs index 197029d52bbeb..b7806316e43ed 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs @@ -363,7 +363,7 @@ async fn assert_engine_matches_reference_null(name: &str, tree: NT) { page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs index 7380793231abb..9a28828a95737 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs @@ -328,7 +328,7 @@ async fn run_bitmap_tree(tree: BoolNode) -> (Vec, Arc) { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -367,6 +367,7 @@ async fn run_single_collector( 0, None, None, + std::collections::HashMap::new(), )); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs index adc2324427011..9805e6c3be211 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs @@ -101,7 +101,7 @@ async fn query_phase(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs index 71a8ab263fe51..56bbc27304b18 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs @@ -91,7 +91,7 @@ async fn run_tree_row_ids(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -261,7 +261,7 @@ async fn run_tree_row_ids_with_global_base(tree: BoolNode, global_base: u64) -> ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -529,7 +529,7 @@ async fn test_row_id_with_data_columns() { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -784,7 +784,7 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs index 665f5f0e878f4..838708712b1d5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs @@ -119,7 +119,7 @@ async fn run_missing_col_tree(tree_bool: BoolNode) -> usize { pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -432,7 +432,7 @@ async fn query_with_mismatched_schema( page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs index 3f50c80ef4ca1..51007814141fc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs @@ -22,6 +22,7 @@ //! `reverse_segment_iteration_order` preserves each segment's original //! `global_base`, which is exactly what these tests verify end-to-end. +use std::collections::HashMap; use std::sync::Arc; use datafusion::arrow::array::{Int32Array, Int64Array, StringArray}; @@ -207,7 +208,7 @@ async fn collect_row_ids( ), ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs index 821db439365b8..63ec6658d7fd1 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs @@ -435,7 +435,7 @@ async fn run_large( pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -893,7 +893,7 @@ async fn run_large_partitioned( pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, + stats_prune_tree: None, rg_index_to_pos: HashMap::new(), }); Ok(eval) }) From c0235e32b24d539cdcb4849a033208eb29a253ee Mon Sep 17 00:00:00 2001 From: Koustubh Gupta <30352828+thorkous@users.noreply.github.com> Date: Sun, 21 Jun 2026 01:55:03 +0530 Subject: [PATCH 15/94] Add get-by-id via DocumentLookupProvider SPI in DataFormatAwareEngine. (#21803) Add version map and integrated get-by-id for document lookup. Signed-off-by: Koustubh Gupta Co-authored-by: Koustubh Gupta Co-authored-by: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> --- .../analytics/spi/DocumentLookupService.java | 169 ++++++ .../analytics/spi/DocumentRowReader.java | 51 ++ .../spi/DocumentLookupServiceTests.java | 287 ++++++++++ .../rust/src/api.rs | 4 + .../rust/src/datafusion_query_config.rs | 47 ++ .../rust/src/ffm.rs | 9 + .../rust/src/query_executor.rs | 70 ++- .../be/datafusion/DataFusionPlugin.java | 62 ++- .../opensearch/be/datafusion/GetService.java | 247 +++++++++ .../be/datafusion/nativelib/NativeBridge.java | 55 +- .../be/datafusion/GetServiceTests.java | 146 +++++ .../be/lucene/LuceneDocumentResolver.java | 98 ++++ .../opensearch/be/lucene/LucenePlugin.java | 19 +- .../lucene/LuceneDocumentResolverTests.java | 175 ++++++ .../analytics/exec/ArrowValues.java | 72 +++ .../analytics/exec/ArrowValuesTests.java | 116 ++++ sandbox/plugins/composite-engine/build.gradle | 1 + .../composite/DataFormatAwareGetByIdIT.java | 99 ++++ .../DataFormatAwareReadonlyEngineBaseIT.java | 4 +- .../DataFormatAwareReadonlyGetByIdIT.java | 43 ++ .../DataFormatAwareReplicaGetByIdIT.java | 42 ++ .../uid/PerThreadIDVersionAndSeqNoLookup.java | 56 +- .../lucene/uid/VersionsAndSeqNoResolver.java | 39 +- .../index/engine/DataFormatAwareEngine.java | 269 ++++++++- .../DataFormatAwareNRTReplicationEngine.java | 27 + .../engine/DataFormatAwareReadOnlyEngine.java | 25 + .../index/engine/EngineBackedIndexer.java | 8 + .../opensearch/index/engine/EngineConfig.java | 38 +- .../index/engine/EngineConfigFactory.java | 35 +- .../engine/dataformat/DataFormatRegistry.java | 40 ++ .../engine/exec/DocumentLookupSupport.java | 103 ++++ .../engine/exec/DocumentMetadataResolver.java | 55 ++ .../opensearch/index/engine/exec/Indexer.java | 9 + .../engine/exec/coord/CatalogSnapshot.java | 18 + .../index/get/DocumentLookupResult.java | 141 +++++ .../opensearch/index/get/ShardGetService.java | 92 ++-- .../opensearch/index/shard/IndexShard.java | 6 +- .../opensearch/indices/IndicesService.java | 9 +- .../plugins/DocumentLookupProvider.java | 70 +++ .../engine/DataFormatAwareEngineTests.java | 518 +++++++++++++++++- .../DataFormatAwareReadOnlyEngineTests.java | 137 +++++ .../DataformatAwareCatalogSnapshotTests.java | 41 ++ .../index/get/DocumentLookupResultTests.java | 68 +++ .../index/shard/ShardGetServiceTests.java | 60 ++ .../plugins/DocumentLookupProviderTests.java | 34 ++ 45 files changed, 3628 insertions(+), 86 deletions(-) create mode 100644 sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentLookupService.java create mode 100644 sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentRowReader.java create mode 100644 sandbox/libs/analytics-framework/src/test/java/org/opensearch/analytics/spi/DocumentLookupServiceTests.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/GetServiceTests.java create mode 100644 sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LuceneDocumentResolver.java create mode 100644 sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/LuceneDocumentResolverTests.java create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java create mode 100644 server/src/main/java/org/opensearch/index/engine/exec/DocumentLookupSupport.java create mode 100644 server/src/main/java/org/opensearch/index/engine/exec/DocumentMetadataResolver.java create mode 100644 server/src/main/java/org/opensearch/index/get/DocumentLookupResult.java create mode 100644 server/src/main/java/org/opensearch/plugins/DocumentLookupProvider.java create mode 100644 server/src/test/java/org/opensearch/index/get/DocumentLookupResultTests.java create mode 100644 server/src/test/java/org/opensearch/plugins/DocumentLookupProviderTests.java diff --git a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentLookupService.java b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentLookupService.java new file mode 100644 index 0000000000000..4cf62ccaf84eb --- /dev/null +++ b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentLookupService.java @@ -0,0 +1,169 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.spi; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.common.lucene.uid.Versions; +import org.opensearch.common.xcontent.XContentFactory; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.index.Index; +import org.opensearch.core.xcontent.XContentBuilder; +import org.opensearch.index.engine.dataformat.DocumentInput; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.engine.exec.Segment; +import org.opensearch.index.engine.exec.WriterFileSet; +import org.opensearch.index.get.DocumentLookupResult; +import org.opensearch.index.mapper.SeqNoFieldMapper; +import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.indices.IndicesModule; + +import java.io.IOException; +import java.util.ArrayList; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.Set; + +/** + * Core orchestrator for document lookup. Coordinates row-location resolution, + * backend-specific execution, and result assembly. + * + * @opensearch.experimental + */ +@ExperimentalApi +public class DocumentLookupService { + + /** + * Engine/storage metadata fields excluded from reconstructed {@code _source}, sourced from the mapper + * registry's built-in metadata mappers rather than a hand-maintained list. {@code _primary_term} (a + * sub-column emitted by the {@code _seq_no} mapper) and {@code __row_id__} (an engine-internal column) + * are not registered mappers, so they are excluded separately by constant in {@link #buildResultFromRow}. + */ + private static final Set METADATA_FIELDS = IndicesModule.getBuiltInMetadataFields(); + + private final DocumentMetadataResolver documentResolver; + private final DocumentRowReader executor; + + public DocumentLookupService(DocumentMetadataResolver documentResolver, DocumentRowReader executor) { + this.documentResolver = documentResolver; + this.executor = executor; + } + + public DocumentLookupResult getById(String id, IndexReaderProvider.Reader reader, Index index) throws IOException { + Map row = fetchRow(id, reader); + return row == null ? DocumentLookupResult.notFound(id) : buildResultFromRow(id, row); + } + + /** + * Resolves only the version metadata ({@code _version}/{@code _seq_no}/{@code _primary_term}) for an id, + * skipping {@code _source} reconstruction. + */ + public DocumentLookupResult getVersionMetadata(String id, IndexReaderProvider.Reader reader, Index index) throws IOException { + Map row = fetchRow(id, reader); + if (row == null) { + return DocumentLookupResult.notFound(id); + } + long seqNo = extractLong(row, "_seq_no", SequenceNumbers.UNASSIGNED_SEQ_NO); + long primaryTerm = extractLong(row, "_primary_term", SequenceNumbers.UNASSIGNED_PRIMARY_TERM); + long version = extractLong(row, "_version", Versions.NOT_FOUND); + return new DocumentLookupResult(id, version, true, null, seqNo, primaryTerm, Map.of(), Map.of()); + } + + /** Locates an id via the resolver and fetches its raw row. Returns null only when the id is not found. */ + private Map fetchRow(String id, IndexReaderProvider.Reader reader) throws IOException { + DocumentMetadataResolver.DocumentMetadata metadata = documentResolver.resolveMetadata(reader, id); + if (metadata == null) { + return null; + } + + WriterFileSet fileSet = reader.catalogSnapshot().findFileSet(executor.formatName(), metadata.writerGeneration()); + if (fileSet == null) { + throw new IllegalStateException( + "Resolver located id [" + + id + + "] at writer generation [" + + metadata.writerGeneration() + + "] but no matching file set was found" + ); + } + + Map row = executor.executeSingleRow(metadata.rowId(), fileSet); + if (row == null) { + throw new IllegalStateException( + "Resolver located id [" + + id + + "] at writer generation [" + + metadata.writerGeneration() + + "] rowId [" + + metadata.rowId() + + "] but backend returned no row" + ); + } + return row; + } + + public List getDocsAboveSeqNo(long fromSeqNoExclusive, IndexReaderProvider.Reader reader, Index index) + throws IOException { + List fileSets = new ArrayList<>(); + for (Segment segment : reader.catalogSnapshot().getSegments()) { + WriterFileSet fileSet = segment.dfGroupedSearchableFiles().get(executor.formatName()); + if (fileSet != null && !fileSet.files().isEmpty()) { + fileSets.add(fileSet); + } + } + List results = new ArrayList<>(); + for (Map row : executor.executeRowsAboveSeqNo(fileSets, fromSeqNoExclusive)) { + Object idVal = row.get("_id"); + if (idVal != null) { + results.add(buildResultFromRow(idVal.toString(), row)); + } + } + return results; + } + + /** Builds a DocumentLookupResult from a raw row, filtering metadata/internal fields out of {@code _source}. */ + private static DocumentLookupResult buildResultFromRow(String id, Map row) throws IOException { + long seqNo = extractLong(row, "_seq_no", SequenceNumbers.UNASSIGNED_SEQ_NO); + long primaryTerm = extractLong(row, "_primary_term", SequenceNumbers.UNASSIGNED_PRIMARY_TERM); + long version = extractLong(row, "_version", Versions.NOT_FOUND); + + Map filtered = new LinkedHashMap<>(); + for (Map.Entry e : row.entrySet()) { + // Exclude registered metadata fields, plus the two columns that are not registered mappers: + // _primary_term (a sub-column emitted by the _seq_no mapper) and __row_id__ (engine-internal). + String name = e.getKey(); + if (METADATA_FIELDS.contains(name) + || SeqNoFieldMapper.PRIMARY_TERM_NAME.equals(name) + || DocumentInput.ROW_ID_FIELD.equals(name)) { + continue; + } + filtered.put(name, e.getValue()); + } + + BytesReference source; + try (XContentBuilder xcb = XContentFactory.jsonBuilder()) { + xcb.map(filtered); + source = BytesReference.bytes(xcb); + } + + return new DocumentLookupResult(id, version, true, source, seqNo, primaryTerm, Map.of(), Map.of()); + } + + public static long extractLong(Map row, String key, long fallback) { + Object v = row.get(key); + if (v == null) return fallback; + if (v instanceof Number) return ((Number) v).longValue(); + try { + return Long.parseLong(v.toString()); + } catch (NumberFormatException e) { + return fallback; + } + } +} diff --git a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentRowReader.java b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentRowReader.java new file mode 100644 index 0000000000000..7297dc9439bb1 --- /dev/null +++ b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DocumentRowReader.java @@ -0,0 +1,51 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.spi; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.index.engine.exec.WriterFileSet; + +import java.io.IOException; +import java.util.List; +import java.util.Map; + +/** + * Backend-specific execution contract for reading document rows. Backends implement this + * to perform the actual storage read (e.g., DataFusion native parquet scan) from a file set + * that the Core layer has already resolved from the catalog snapshot. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface DocumentRowReader { + + /** + * The storage format this backend reads (e.g. {@code "parquet"}). Lets the Core layer + * resolve the backend's candidate {@link WriterFileSet} from the catalog snapshot. + */ + String formatName(); + + /** + * Fetch a single row at the given offset from the pre-resolved file set. + * + * @param rowId the row offset to fetch + * @param fileSet the file set to read from + * @return the row as a field-name → value map, or null if not found + */ + Map executeSingleRow(long rowId, WriterFileSet fileSet) throws IOException; + + /** + * Fetch all rows with {@code _seq_no > fromSeqNoExclusive} from the Core-resolved file sets + * (one per segment for this backend's format). + * + * @param fileSets the file sets to scan + * @param fromSeqNoExclusive the exclusive lower bound on {@code _seq_no} + */ + List> executeRowsAboveSeqNo(List fileSets, long fromSeqNoExclusive) throws IOException; +} diff --git a/sandbox/libs/analytics-framework/src/test/java/org/opensearch/analytics/spi/DocumentLookupServiceTests.java b/sandbox/libs/analytics-framework/src/test/java/org/opensearch/analytics/spi/DocumentLookupServiceTests.java new file mode 100644 index 0000000000000..3a1e259760393 --- /dev/null +++ b/sandbox/libs/analytics-framework/src/test/java/org/opensearch/analytics/spi/DocumentLookupServiceTests.java @@ -0,0 +1,287 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.spi; + +import org.opensearch.common.lucene.uid.Versions; +import org.opensearch.core.index.Index; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.engine.exec.Segment; +import org.opensearch.index.engine.exec.WriterFileSet; +import org.opensearch.index.engine.exec.coord.CatalogSnapshot; +import org.opensearch.index.get.DocumentLookupResult; +import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.test.OpenSearchTestCase; + +import java.nio.file.Path; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; + +import org.mockito.ArgumentCaptor; + +import static org.mockito.ArgumentMatchers.anyList; +import static org.mockito.ArgumentMatchers.anyLong; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +/** + * Unit tests for {@link DocumentLookupService}, the Core orchestrator for document lookup. + * + *

All collaborators are interfaces ({@link DocumentMetadataResolver}, {@link DocumentRowReader}, + * {@link IndexReaderProvider.Reader}) or an abstract class ({@link CatalogSnapshot}) and are mocked. + * {@link Segment}/{@link WriterFileSet} are real objects constructed via their builders since they + * are final records / sealed classes. + * + *

Coverage: + *

    + *
  • {@code getById} — not-found, success (reserved/underscore field filtering), and the two + * Lucene/Parquet inconsistency ISE paths (missing file set, missing row).
    • + *
  • {@code getVersionMetadata} — not-found, version-field extraction with null source, and + * fallback defaults when version fields are absent.
    • + *
  • {@code getDocsAboveSeqNo} — rows without {@code _id} skipped, empty/wrong-format file sets + * excluded from the backend scan, and empty result handling.
    • + *
  • {@code extractLong} — Number, missing key, parsable String, and unparsable String.
    • + *
+ */ +public class DocumentLookupServiceTests extends OpenSearchTestCase { + + private static final String FORMAT = "parquet"; + + private static final Index INDEX = new Index("idx", "uuid"); + + private DocumentMetadataResolver resolver; + private DocumentRowReader executor; + private IndexReaderProvider.Reader reader; + private CatalogSnapshot snapshot; + private DocumentLookupService service; + + @Override + public void setUp() throws Exception { + super.setUp(); + resolver = mock(DocumentMetadataResolver.class); + executor = mock(DocumentRowReader.class); + reader = mock(IndexReaderProvider.Reader.class); + snapshot = mock(CatalogSnapshot.class); + when(reader.catalogSnapshot()).thenReturn(snapshot); + when(executor.formatName()).thenReturn(FORMAT); + service = new DocumentLookupService(resolver, executor); + } + + // ---- helpers ------------------------------------------------------------ + + private static WriterFileSet fileSet(long generation, String... files) { + WriterFileSet.Builder b = WriterFileSet.builder() + .directory(Path.of("/tmp/idx")) + .writerGeneration(generation) + .addNumRows(files.length); + for (String f : files) { + b.addFile(f); + } + return b.build(); + } + + private static DocumentMetadataResolver.DocumentMetadata metadata(String id, long rowId, long generation) { + return new DocumentMetadataResolver.DocumentMetadata(id, rowId, generation); + } + + private static Map row(Object... kv) { + Map row = new LinkedHashMap<>(); + for (int i = 0; i < kv.length; i += 2) { + row.put((String) kv[i], kv[i + 1]); + } + return row; + } + + // ---- getById ------------------------------------------------------------ + + public void testGetById_notFoundWhenResolverReturnsNull() throws Exception { + when(resolver.resolveMetadata(reader, "missing")).thenReturn(null); + + DocumentLookupResult result = service.getById("missing", reader, INDEX); + + assertFalse(result.exists()); + assertEquals("missing", result.id()); + assertEquals(Versions.NOT_FOUND, result.version()); + assertNull(result.source()); + } + + public void testGetById_successFiltersMetadataAndInternalColumns() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + WriterFileSet fs = fileSet(7L, "0.parquet"); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(fs); + when(executor.executeSingleRow(0L, fs)).thenReturn( + row("_id", "doc1", "_seq_no", 42L, "_primary_term", 2L, "_version", 5L, "__row_id__", 99L, "name", "alice", "age", 30) + ); + + DocumentLookupResult result = service.getById("doc1", reader, INDEX); + + assertTrue(result.exists()); + assertEquals("doc1", result.id()); + assertEquals(5L, result.version()); + assertEquals(42L, result.seqNo()); + assertEquals(2L, result.primaryTerm()); + + String source = result.source().utf8ToString(); + // user fields retained + assertTrue("user fields present: " + source, source.contains("\"name\":\"alice\"")); + assertTrue("user fields present: " + source, source.contains("\"age\":30")); + // metadata-mapper fields excluded via the predicate + assertFalse("metadata field excluded: " + source, source.contains("_seq_no")); + assertFalse("metadata field excluded: " + source, source.contains("_version")); + assertFalse("metadata field excluded: " + source, source.contains("\"_id\"")); + // non-mapper columns excluded via the constant guards (the regression this protects against) + assertFalse("_primary_term excluded via constant: " + source, source.contains("_primary_term")); + assertFalse("__row_id__ excluded via constant: " + source, source.contains("__row_id__")); + } + + public void testGetById_nonMetadataUnderscoreFieldRetained() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + WriterFileSet fs = fileSet(7L, "0.parquet"); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(fs); + // "_custom" is not a registered metadata field, not _primary_term, not __row_id__ -> kept in _source. + when(executor.executeSingleRow(0L, fs)).thenReturn(row("_id", "doc1", "_seq_no", 1L, "_custom", "keepme", "name", "bob")); + + DocumentLookupResult result = service.getById("doc1", reader, INDEX); + + String source = result.source().utf8ToString(); + assertTrue("non-metadata underscore field retained: " + source, source.contains("\"_custom\":\"keepme\"")); + assertTrue("user field retained: " + source, source.contains("\"name\":\"bob\"")); + assertFalse("metadata field excluded: " + source, source.contains("_seq_no")); + } + + public void testGetById_throwsISEWhenFileSetNull() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(null); + + IllegalStateException e = expectThrows(IllegalStateException.class, () -> service.getById("doc1", reader, INDEX)); + assertTrue(e.getMessage(), e.getMessage().contains("no matching file set")); + assertTrue(e.getMessage(), e.getMessage().contains("doc1")); + } + + public void testGetById_throwsISEWhenRowNull() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + WriterFileSet fs = fileSet(7L, "0.parquet"); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(fs); + when(executor.executeSingleRow(0L, fs)).thenReturn(null); + + IllegalStateException e = expectThrows(IllegalStateException.class, () -> service.getById("doc1", reader, INDEX)); + assertTrue(e.getMessage(), e.getMessage().contains("backend returned no row")); + assertTrue(e.getMessage(), e.getMessage().contains("doc1")); + } + + // ---- getVersionMetadata ------------------------------------------------- + + public void testGetVersionMetadata_notFoundWhenResolverReturnsNull() throws Exception { + when(resolver.resolveMetadata(reader, "missing")).thenReturn(null); + + DocumentLookupResult result = service.getVersionMetadata("missing", reader, INDEX); + + assertFalse(result.exists()); + assertEquals(Versions.NOT_FOUND, result.version()); + assertNull(result.source()); + } + + public void testGetVersionMetadata_extractsVersionFieldsWithNullSource() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + WriterFileSet fs = fileSet(7L, "0.parquet"); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(fs); + when(executor.executeSingleRow(0L, fs)).thenReturn(row("_seq_no", 42L, "_primary_term", 2L, "_version", 5L, "name", "alice")); + + DocumentLookupResult result = service.getVersionMetadata("doc1", reader, INDEX); + + assertTrue(result.exists()); + assertEquals(5L, result.version()); + assertEquals(42L, result.seqNo()); + assertEquals(2L, result.primaryTerm()); + // version-only hot path: source is never reconstructed + assertNull(result.source()); + assertTrue(result.documentFields().isEmpty()); + } + + public void testGetVersionMetadata_defaultsWhenFieldsMissing() throws Exception { + when(resolver.resolveMetadata(reader, "doc1")).thenReturn(metadata("doc1", 0L, 7L)); + WriterFileSet fs = fileSet(7L, "0.parquet"); + when(snapshot.findFileSet(FORMAT, 7L)).thenReturn(fs); + // row exists (found) but carries no version fields + when(executor.executeSingleRow(0L, fs)).thenReturn(row("name", "alice")); + + DocumentLookupResult result = service.getVersionMetadata("doc1", reader, INDEX); + + assertTrue(result.exists()); + assertEquals(Versions.NOT_FOUND, result.version()); + assertEquals(SequenceNumbers.UNASSIGNED_SEQ_NO, result.seqNo()); + assertEquals(SequenceNumbers.UNASSIGNED_PRIMARY_TERM, result.primaryTerm()); + } + + // ---- getDocsAboveSeqNo -------------------------------------------------- + + public void testGetDocsAboveSeqNo_buildsResultsOnlyForRowsWithId() throws Exception { + Segment segment = Segment.builder(1L).addSearchableFiles(FORMAT, fileSet(1L, "0.parquet")).build(); + when(snapshot.getSegments()).thenReturn(List.of(segment)); + + Map withId = row("_id", "d1", "_seq_no", 10L, "name", "alice"); + Map withoutId = row("_seq_no", 11L, "name", "bob"); + when(executor.executeRowsAboveSeqNo(anyList(), eq(5L))).thenReturn(List.of(withId, withoutId)); + + List results = service.getDocsAboveSeqNo(5L, reader, INDEX); + + assertEquals(1, results.size()); + assertEquals("d1", results.get(0).id()); + assertEquals(10L, results.get(0).seqNo()); + assertTrue(results.get(0).source().utf8ToString().contains("\"name\":\"alice\"")); + } + + public void testGetDocsAboveSeqNo_skipsEmptyAndWrongFormatFileSets() throws Exception { + WriterFileSet good = fileSet(1L, "0.parquet"); + WriterFileSet empty = fileSet(2L); // no files -> excluded + WriterFileSet lucene = fileSet(3L, "seg.cfs"); // different format -> excluded + Segment s1 = Segment.builder(1L).addSearchableFiles(FORMAT, good).build(); + Segment s2 = Segment.builder(2L).addSearchableFiles(FORMAT, empty).build(); + Segment s3 = Segment.builder(3L).addSearchableFiles("lucene", lucene).build(); + when(snapshot.getSegments()).thenReturn(List.of(s1, s2, s3)); + + @SuppressWarnings("unchecked") + ArgumentCaptor> captor = ArgumentCaptor.forClass(List.class); + when(executor.executeRowsAboveSeqNo(captor.capture(), eq(0L))).thenReturn(List.of()); + + service.getDocsAboveSeqNo(0L, reader, INDEX); + + List passed = captor.getValue(); + assertEquals(1, passed.size()); + assertEquals(good, passed.get(0)); + } + + public void testGetDocsAboveSeqNo_emptyWhenNoRows() throws Exception { + when(snapshot.getSegments()).thenReturn(List.of()); + when(executor.executeRowsAboveSeqNo(anyList(), anyLong())).thenReturn(List.of()); + + assertTrue(service.getDocsAboveSeqNo(5L, reader, INDEX).isEmpty()); + } + + // ---- extractLong -------------------------------------------------------- + + public void testExtractLong_number() { + assertEquals(5L, DocumentLookupService.extractLong(Map.of("k", 5L), "k", 99L)); + assertEquals(7L, DocumentLookupService.extractLong(Map.of("k", 7), "k", 99L)); + } + + public void testExtractLong_nullReturnsFallback() { + assertEquals(99L, DocumentLookupService.extractLong(Map.of(), "k", 99L)); + } + + public void testExtractLong_parsesStringNumber() { + assertEquals(123L, DocumentLookupService.extractLong(Map.of("k", "123"), "k", 99L)); + } + + public void testExtractLong_unparseableStringReturnsFallback() { + assertEquals(99L, DocumentLookupService.extractLong(Map.of("k", "abc"), "k", 99L)); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 8da55d82a3d54..07bbf639f747c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -841,6 +841,7 @@ pub async unsafe fn execute_query( manager: &RuntimeManager, context_id: i64, query_config: crate::datafusion_query_config::DatafusionQueryConfig, + internal_search: crate::datafusion_query_config::InternalSearch, ) -> Result { let shard_view = &*(shard_view_ptr as *const ShardView); let runtime = &*(runtime_ptr as *const DataFusionRuntime); @@ -911,6 +912,8 @@ pub async unsafe fn execute_query( // - IndexedPredicateOnly → indexed path (position-based row IDs) // - None → vanilla path (no row ID computation) // 3. Neither → vanilla path + // Engine-internal point lookups pass an empty plan, so is_indexed/has_row_id are both + // false and this naturally resolves to the vanilla ListingTable path. let use_indexed = is_indexed || (has_row_id && effective_config.query_strategy != crate::datafusion_query_config::QueryStrategy::ListingTable); @@ -941,6 +944,7 @@ pub async unsafe fn execute_query( phantom_corrector, &shard_view.sort_fields, &shard_view.sort_orders, + internal_search, ).await } }; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs index 5d8cdb1df44dd..0f819690ff380 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs @@ -28,6 +28,41 @@ pub enum QueryStrategy { IndexedPredicateOnly, } +/// Engine-internal point lookup driven through the normal `df_execute_query` +/// entry point. When active, the Substrait `plan_ptr` is ignored and the plan +/// is built natively via the DataFrame API with a single pushed-down filter on +/// a stored reserved column — no Substrait, no planner round-trip. Used by the +/// pluggable-dataformat get-by-id path (`GetService`), not by user search. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum InternalSearch { + /// Not an internal lookup — decode `plan_ptr` as Substrait as usual. + Off, + /// Get-by-row-id: `__row_id__ = bound`, single row. `bound` is the physical + /// row position resolved from the secondary (Lucene) index. + ByRowId(i64), + /// Seq-no scan: `_seq_no > bound`, projecting only id/seq/term/version. + /// Used by version-map restore on crash recovery. + SeqNoAbove(i64), +} + +impl InternalSearch { + /// Decodes the FFM wire pair `(mode, bound)`. `mode`: 0 = Off, 1 = ByRowId, + /// 2 = SeqNoAbove. Any other value is treated as Off (forward-compatible). + pub fn from_wire(mode: i64, bound: i64) -> Self { + match mode { + 1 => InternalSearch::ByRowId(bound), + 2 => InternalSearch::SeqNoAbove(bound), + _ => InternalSearch::Off, + } + } + + /// Whether this is an engine-internal point lookup (i.e. not [`InternalSearch::Off`], + /// the normal user-search path). + pub fn is_internal_search(self) -> bool { + !matches!(self, InternalSearch::Off) + } +} + /// Query-scoped configuration. Owned by value after FFM decode. #[derive(Debug, Clone)] pub struct DatafusionQueryConfig { @@ -316,6 +351,18 @@ mod tests { unsafe { DatafusionQueryConfig::from_ffm_ptr(0) }; } + #[test] + fn internal_search_from_wire_decodes_modes() { + assert_eq!(InternalSearch::from_wire(0, 99), InternalSearch::Off); + assert_eq!(InternalSearch::from_wire(1, 42), InternalSearch::ByRowId(42)); + assert_eq!(InternalSearch::from_wire(2, 7), InternalSearch::SeqNoAbove(7)); + // Unknown modes are forward-compatible: treated as Off, bound ignored. + assert_eq!(InternalSearch::from_wire(3, 5), InternalSearch::Off); + assert!(!InternalSearch::Off.is_internal_search()); + assert!(InternalSearch::ByRowId(0).is_internal_search()); + assert!(InternalSearch::SeqNoAbove(0).is_internal_search()); + } + #[test] fn wire_decode_round_trips_all_fields() { let wire = WireDatafusionQueryConfig { diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 55e8719813e64..cf98dc504e66d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -46,6 +46,7 @@ fn timed_block_on( use crate::api; use crate::api::DataFusionRuntime; use crate::cache; +use crate::datafusion_query_config::InternalSearch; use crate::custom_cache_manager::CustomCacheManager; use crate::eviction_policy::PolicyType; use crate::runtime_manager::RuntimeManager; @@ -312,6 +313,12 @@ pub unsafe extern "C" fn df_execute_query( context_id: i64, // Pointer to a `WireDatafusionQueryConfig` query_config_ptr: i64, + // Engine-internal point lookup. 0 = normal query (decode `plan_ptr` as Substrait); + // 1 = get-by-row-id (`__row_id__ = internal_search_bound`); 2 = seq-no scan + // (`_seq_no > internal_search_bound`). When non-zero, `plan_ptr`/`plan_len` are + // ignored and the plan is built natively via the DataFrame API — no Substrait. + internal_search_mode: i64, + internal_search_bound: i64, ) -> i64 { let mgr = get_rt_manager()?; let table_name = str_from_raw(table_name_ptr, table_name_len) @@ -319,6 +326,7 @@ pub unsafe extern "C" fn df_execute_query( let plan_bytes = slice::from_raw_parts(plan_ptr, plan_len as usize); let query_config = crate::datafusion_query_config::DatafusionQueryConfig::from_ffm_ptr(query_config_ptr); + let internal_search = InternalSearch::from_wire(internal_search_mode, internal_search_bound); // Copy the plan bytes so the spawned future can own them (`cpu_executor.spawn` // requires `'static`). The `shard_view_ptr`, `runtime_ptr` are raw pointers // held live by the caller for the duration of the FFM downcall — safe to @@ -346,6 +354,7 @@ pub unsafe extern "C" fn df_execute_query( &mgr_for_inner, context_id, query_config, + internal_search, ) .await }); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs index 21bb8bb2a8948..c34a6162db3dc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs @@ -55,6 +55,7 @@ pub async fn execute_query( phantom_corrector: Option>, sort_fields: &[String], sort_orders: &[String], + internal_search: crate::datafusion_query_config::InternalSearch, ) -> Result { // Build per-query RuntimeEnv with list-files cache pre-populated. let runtime_env = build_query_runtime_env(runtime, &table_path, object_metas.as_ref())?; @@ -161,13 +162,9 @@ pub async fn execute_query( } } - // Decode substrait → logical plan → physical plan → stream - let substrait_plan = Plan::decode(plan_bytes.as_slice()).map_err(|e| { - DataFusionError::Execution(format!("Failed to decode Substrait: {}", e)) - })?; - - let logical_plan = from_substrait_plan(&ctx.state(), &substrait_plan).await?; - let dataframe = ctx.execute_logical_plan(logical_plan).await?; + // Planning: build the query DataFrame (Substrait decode for normal search, native filter for an + // engine-internal point lookup). Physical planning + execution below is shared by both. + let dataframe = build_dataframe(&ctx, &table_name, &plan_bytes, internal_search).await?; let physical_plan = dataframe.create_physical_plan().await?; // Retag any physical-plan output columns whose type tags differ from what Substrait @@ -221,6 +218,65 @@ pub async fn execute_query( Ok(Box::into_raw(Box::new(wrapped)) as i64) } +/// Build the query DataFrame against the table already registered in `ctx`. +/// +/// An engine-internal point lookup (get-by-id / seq-no scan) returns early with a small native +/// filter DataFrame; otherwise this is the standard user-search flow: decode the Substrait plan +/// into a logical plan and execute it. +/// +/// Internal-search filters: +/// - [`InternalSearch::ByRowId`]: `SELECT * WHERE __row_id__ = n LIMIT 1`. `__row_id__` is the +/// physical row position the writer stamps at flush, so equality is order-independent and prunes +/// row-groups/pages via min/max stats. +/// - [`InternalSearch::SeqNoAbove`]: `SELECT _id,_seq_no,_primary_term,_version WHERE _seq_no > f` +/// (version-map restore on recovery; metadata columns only). +async fn build_dataframe( + ctx: &SessionContext, + table_name: &str, + plan_bytes: &[u8], + internal_search: crate::datafusion_query_config::InternalSearch, +) -> Result { + // Engine-internal point lookup — build a native filter DataFrame and return early. + if internal_search.is_internal_search() { + return internal_search_dataframe(ctx, table_name, internal_search).await; + } + + // Standard user-search flow: Substrait → logical plan → DataFrame. + let substrait_plan = Plan::decode(plan_bytes).map_err(|e| { + DataFusionError::Execution(format!("Failed to decode Substrait: {}", e)) + })?; + let logical_plan = from_substrait_plan(&ctx.state(), &substrait_plan).await?; + ctx.execute_logical_plan(logical_plan).await +} + +/// Build the native filter DataFrame for an engine-internal point lookup against the table already +/// registered in `ctx`. Not user search — those go through the Substrait flow in [`build_dataframe`]. +/// +/// - [`InternalSearch::ByRowId`]: `SELECT * WHERE __row_id__ = n LIMIT 1`. `__row_id__` is the +/// physical row position the writer stamps at flush, so equality is order-independent and prunes +/// row-groups/pages via min/max stats. +/// - [`InternalSearch::SeqNoAbove`]: `SELECT _id,_seq_no,_primary_term,_version WHERE _seq_no > f` +/// (version-map restore on recovery; metadata columns only). +/// +/// Panics on [`InternalSearch::Off`] — callers gate on `is_internal_search()` first. +async fn internal_search_dataframe( + ctx: &SessionContext, + table_name: &str, + internal_search: crate::datafusion_query_config::InternalSearch, +) -> Result { + use crate::datafusion_query_config::InternalSearch; + let df = ctx.table(table_name).await?; + match internal_search { + InternalSearch::ByRowId(row_id) => df + .filter(col(crate::ROW_ID_COLUMN_NAME).eq(lit(row_id)))? + .limit(0, Some(1)), + InternalSearch::SeqNoAbove(seq_no_floor) => df + .filter(col("_seq_no").gt(lit(seq_no_floor)))? + .select_columns(&["_id", "_seq_no", "_primary_term", "_version"]), + InternalSearch::Off => unreachable!("internal_search_dataframe called with Off"), + } +} + /// Executes a Substrait plan against a pre-configured SessionContext. /// /// Takes ownership of the handle by value. The ownership transfer (consuming the diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index ab8892c23cbfd..3f0fdb7c9fb0e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -34,15 +34,20 @@ import org.opensearch.core.common.breaker.CircuitBreaker; import org.opensearch.core.common.io.stream.NamedWriteableRegistry; import org.opensearch.core.common.unit.ByteSizeValue; +import org.opensearch.core.index.Index; import org.opensearch.core.indices.breaker.CircuitBreakerStats; import org.opensearch.core.xcontent.NamedXContentRegistry; import org.opensearch.env.Environment; import org.opensearch.env.NodeEnvironment; import org.opensearch.index.IndexSettings; import org.opensearch.index.IndexSortConfig; +import org.opensearch.index.engine.Engine; import org.opensearch.index.engine.dataformat.DataFormatRegistry; import org.opensearch.index.engine.dataformat.ReaderManagerConfig; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.indices.breaker.BreakerSettings; import org.opensearch.monitor.os.OsProbe; import org.opensearch.nativebridge.spi.NativeMemoryFetcher; @@ -52,6 +57,7 @@ import org.opensearch.plugin.stats.AnalyticsBackendTaskCancellationStats; import org.opensearch.plugins.ActionPlugin; import org.opensearch.plugins.CircuitBreakerPlugin; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.plugins.NativeStoreHandle; import org.opensearch.plugins.Plugin; import org.opensearch.plugins.SearchBackEndPlugin; @@ -90,7 +96,8 @@ public class DataFusionPlugin extends Plugin SearchBackEndPlugin, AnalyticsSearchBackendPlugin, ActionPlugin, - CircuitBreakerPlugin { + CircuitBreakerPlugin, + DocumentLookupProvider { private static final Logger logger = LogManager.getLogger(DataFusionPlugin.class); @@ -368,6 +375,8 @@ static String deriveSpillLimitDefault() { private volatile SimpleExtension.ExtensionCollection substraitExtensions; private volatile ClusterService clusterService; private volatile DatafusionSettings datafusionSettings; + // DocumentLookupProvider implementation. Construction deferred until the DataFusion service is live. + private volatile GetService getService; private volatile CircuitBreaker datafusionBreaker; /** @@ -440,6 +449,10 @@ public Collection createComponents( dataFusionService.start(); logger.debug("DataFusion plugin initialized — memory pool {}B, spill limit {}B", memoryPoolLimit, spillMemoryLimit); + // Build the get-by-id service now that the DataFusion runtime is live. The + // DocumentMetadataResolver is supplied per-call by the engine, so it is not needed here. + this.getService = new GetService(this); + // Wire the dynamic spill limit setting to the native runtime so updates via the // cluster settings API take effect without restarting the node. clusterService.getClusterSettings().addSettingsUpdateConsumer(DATAFUSION_SPILL_MEMORY_LIMIT, this::updateSpillMemoryLimit); @@ -812,6 +825,9 @@ public Supplier getAnalyticsBackendNativeMemo @Override public void close() throws IOException { + if (getService != null) { + getService.close(); + } if (dataFusionService != null) { dataFusionService.close(); } @@ -839,4 +855,48 @@ public Map getTopQueriesByMemory() { } return result; } + + /** + * Get-by-id entry point. Delegates to {@link GetService}, which fetches the row through the native runtime. + */ + @Override + public DocumentLookupResult getById(Engine.Get get, IndexReaderProvider.Reader reader, Index index, DocumentMetadataResolver resolver) + throws IOException { + GetService getService = getServiceOrThrow(); + return getService.documentLookupService(resolver).getById(get.id(), reader, index); + } + + @Override + public DocumentLookupResult getVersionMetadata( + String id, + IndexReaderProvider.Reader reader, + Index index, + DocumentMetadataResolver resolver + ) throws IOException { + GetService svc = getServiceOrThrow(); + return svc.documentLookupService(resolver).getVersionMetadata(id, reader, index); + } + + @Override + public List getDocsAboveSeqNo( + long fromSeqNoExclusive, + IndexReaderProvider.Reader reader, + Index index, + DocumentMetadataResolver resolver + ) throws IOException { + GetService svc = getService; + if (svc == null) return List.of(); + return svc.documentLookupService(resolver).getDocsAboveSeqNo(fromSeqNoExclusive, reader, index); + } + + /** + * Returns the {@link GetService} , throwing IllegalStateException if not initialized. + */ + private GetService getServiceOrThrow() { + GetService svc = getService; + if (svc == null) { + throw new IllegalStateException("GetService is not initialized. "); + } + return svc; + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java new file mode 100644 index 0000000000000..b3a93f02e7881 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java @@ -0,0 +1,247 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion; + +import org.apache.arrow.memory.BufferAllocator; +import org.apache.arrow.memory.RootAllocator; +import org.apache.arrow.vector.FieldVector; +import org.apache.arrow.vector.VectorSchemaRoot; +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.opensearch.analytics.exec.ArrowValues; +import org.opensearch.analytics.spi.DocumentLookupService; +import org.opensearch.analytics.spi.DocumentRowReader; +import org.opensearch.be.datafusion.nativelib.NativeBridge; +import org.opensearch.be.datafusion.nativelib.ReaderHandle; +import org.opensearch.be.datafusion.nativelib.StreamHandle; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.core.action.ActionListener; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.MonoFileWriterSet; +import org.opensearch.index.engine.exec.WriterFileSet; +import org.opensearch.index.engine.exec.coord.CatalogSnapshot; +import org.opensearch.index.mapper.IdFieldMapper; +import org.opensearch.index.mapper.Uid; + +import java.io.Closeable; +import java.io.IOException; +import java.lang.foreign.Arena; +import java.lang.foreign.MemorySegment; +import java.util.ArrayList; +import java.util.List; +import java.util.Map; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.TimeUnit; + +/** + * DataFusion-backed get-by-id executor. The resolver maps an {@code _id} to a + * {@code (writerGeneration, rowId)}; this locates the parquet file in the {@link CatalogSnapshot} + * and reads that row via a Substrait scan on the native runtime, flattening the Arrow batch into a + * source map. + */ +@ExperimentalApi +public class GetService implements Closeable { + + private static final Logger logger = LogManager.getLogger(GetService.class); + + private final DocumentRowReader executor; + + /** Production constructor. */ + public GetService(DataFusionPlugin dfPlugin) { + this(new NativeBridgeExecutor(dfPlugin)); + } + + GetService(DocumentRowReader executor) { + this.executor = executor; + } + + /** Returns a core-layer DocumentLookupService wired with this backend's executor and the supplied document resolver. */ + public DocumentLookupService documentLookupService(DocumentMetadataResolver resolver) { + return new DocumentLookupService(resolver, executor); + } + + @Override + public void close() throws IOException { + if (executor instanceof Closeable c) { + c.close(); + } + } + + /** + * Production executor driving {@link NativeBridge}. Spins up a short-lived + * reader scoped to one parquet file, executes the plan, imports the single resulting batch + * via the Arrow C Data Interface, and flattens the first row into a Java map. + */ + static final class NativeBridgeExecutor implements DocumentRowReader, Closeable { + + private static final String GET_BY_ID_TABLE_ALIAS = "_t"; + private static final String PARQUET_FORMAT = "parquet"; + /** Empty Substrait plan — the internal-search path builds its plan natively and ignores it. */ + private static final byte[] EMPTY_PLAN = new byte[0]; + + private static final long GET_BY_ID_TIMEOUT_MILLIS = 30_000L; + + private final DataFusionPlugin dfPlugin; + private final BufferAllocator sharedAllocator = new RootAllocator(64 * 1024 * 1024); + + NativeBridgeExecutor(DataFusionPlugin dfPlugin) { + this.dfPlugin = dfPlugin; + } + + @Override + public void close() { + sharedAllocator.close(); + } + + @Override + public String formatName() { + return PARQUET_FORMAT; + } + + @Override + public Map executeSingleRow(long rowId, WriterFileSet parquetSet) throws IOException { + if (rowId < 0) { + throw new IllegalArgumentException("rowId must be non-negative, got: " + rowId); + } + String parquetDir = parquetSet.directory(); + String parquetFile = parquetSet.files().iterator().next(); + long runtimePtr = dfPlugin.getDataFusionService().getNativeRuntime().get(); + // ReaderHandle registers the native pointer with NativeHandle so downstream + // validatePointer() calls in executeQueryAsync() find it in the live set. + MonoFileWriterSet segment = MonoFileWriterSet.of(parquetDir, parquetSet.writerGeneration(), parquetFile, 0L); + try (ReaderHandle readerHandle = new ReaderHandle(parquetDir, List.of(segment), null, List.of(), List.of())) { + long readerPtr = readerHandle.getPointer(); + // Internal-search get-by-row-id: the native side ignores Substrait and builds a + // DataFrame plan filtering `__row_id__ = rowId` with pushdown enabled. __row_id__ is + // the physical row position the parquet writer stamps at flush (sequential 0..N after + // any index sort) and remaps into the Lucene secondary index, so the resolver's rowId + // equals the row's __row_id__. An equality predicate returns exactly that row + // independent of scan order and lets DataFusion prune row-groups/pages via the + // column's min/max statistics. + long streamPtr = executeInternalSearch( + readerPtr, + runtimePtr, + NativeBridge.INTERNAL_SEARCH_BY_ROW_ID, + rowId, + "DataFusion get-by-id query failed" + ); + return readSingleRow(streamPtr); + } + } + + @Override + public List> executeRowsAboveSeqNo(List fileSets, long seqNoFloor) throws IOException { + long runtimePtr = dfPlugin.getDataFusionService().getNativeRuntime().get(); + List> all = new ArrayList<>(); + for (WriterFileSet parquetSet : fileSets) { + String parquetDir = parquetSet.directory(); + String parquetFile = parquetSet.files().iterator().next(); + MonoFileWriterSet writerSet = MonoFileWriterSet.of(parquetDir, parquetSet.writerGeneration(), parquetFile, 0L); + try (ReaderHandle readerHandle = new ReaderHandle(parquetDir, List.of(writerSet), null, List.of(), List.of())) { + long readerPtr = readerHandle.getPointer(); + // Internal-search seq-no scan: the native side ignores Substrait and builds a + // DataFrame plan filtering `_seq_no > seqNoFloor`, projecting only the version + // metadata columns, with pushdown enabled. + long streamPtr = executeInternalSearch( + readerPtr, + runtimePtr, + NativeBridge.INTERNAL_SEARCH_SEQ_NO_ABOVE, + seqNoFloor, + "DataFusion range query failed" + ); + all.addAll(readAllRows(streamPtr)); + } + } + return all; + } + + private List> readAllRows(long streamPtr) { + List> results = new ArrayList<>(); + try ( + StreamHandle streamHandle = new StreamHandle(streamPtr, dfPlugin.getDataFusionService().getNativeRuntime()); + DatafusionResultStream stream = new DatafusionResultStream(streamHandle, sharedAllocator) + ) { + var iter = stream.iterator(); + while (iter.hasNext()) { + var batch = iter.next(); + try (VectorSchemaRoot root = batch.getArrowRoot()) { + FieldVector idVec = root.getVector(IdFieldMapper.NAME); + for (int i = 0; i < root.getRowCount(); i++) { + Map row = ArrowValues.toSourceMap(root, i); + if (idVec != null && !idVec.isNull(i)) { + row.put(IdFieldMapper.NAME, Uid.decodeId((byte[]) idVec.getObject(i))); + } + results.add(row); + } + } + } + } + return results; + } + + private Map readSingleRow(long streamPtr) { + try ( + StreamHandle streamHandle = new StreamHandle(streamPtr, dfPlugin.getDataFusionService().getNativeRuntime()); + DatafusionResultStream stream = new DatafusionResultStream(streamHandle, sharedAllocator) + ) { + var iter = stream.iterator(); + if (!iter.hasNext()) return null; + var batch = iter.next(); + try (VectorSchemaRoot root = batch.getArrowRoot()) { + if (root.getRowCount() == 0) return null; + return ArrowValues.toSourceMap(root, 0); + } + } + } + + /** + * Runs an engine-internal point lookup through {@link NativeBridge#executeQueryAsync} and + * returns the result stream pointer. No Substrait is generated: the native side builds the + * filter plan from {@code mode} + {@code bound} via the DataFrame API. The plan is empty, + * but a valid {@link WireConfigSnapshot} is still required. + */ + private long executeInternalSearch(long readerPtr, long runtimePtr, long mode, long bound, String errorMessage) throws IOException { + CompletableFuture future = new CompletableFuture<>(); + WireConfigSnapshot configSnapshot = WireConfigSnapshot.builder(dfPlugin.getDatafusionSettings().getSnapshot()) + .queryStrategy(1) + .build(); + try (Arena arena = Arena.ofConfined()) { + MemorySegment configSegment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); + configSnapshot.writeTo(configSegment); + NativeBridge.executeQueryAsync( + readerPtr, + GET_BY_ID_TABLE_ALIAS, + EMPTY_PLAN, + runtimePtr, + 0L, + configSegment.address(), + mode, + bound, + new ActionListener<>() { + @Override + public void onResponse(Long v) { + future.complete(v); + } + + @Override + public void onFailure(Exception e) { + future.completeExceptionally(e); + } + } + ); + try { + return future.get(GET_BY_ID_TIMEOUT_MILLIS, TimeUnit.MILLISECONDS); + } catch (Exception e) { + throw new IOException(errorMessage, e); + } + } + } + } + +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index 475f8d228191b..ac9e967022152 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -248,15 +248,17 @@ private static RuntimeException rethrowConverted(RuntimeException e) { EXECUTE_QUERY = linker.downcallHandle( lib.find("df_execute_query").orElseThrow(), FunctionDescriptor.of( - ValueLayout.JAVA_LONG, - ValueLayout.JAVA_LONG, - ValueLayout.ADDRESS, - ValueLayout.JAVA_LONG, - ValueLayout.ADDRESS, - ValueLayout.JAVA_LONG, - ValueLayout.JAVA_LONG, - ValueLayout.JAVA_LONG, - ValueLayout.JAVA_LONG + ValueLayout.JAVA_LONG, // returns stream_ptr + ValueLayout.JAVA_LONG, // shard_view_ptr + ValueLayout.ADDRESS, // table_name_ptr + ValueLayout.JAVA_LONG, // table_name_len + ValueLayout.ADDRESS, // plan_ptr + ValueLayout.JAVA_LONG, // plan_len + ValueLayout.JAVA_LONG, // runtime_ptr + ValueLayout.JAVA_LONG, // context_id + ValueLayout.JAVA_LONG, // query_config_ptr + ValueLayout.JAVA_LONG, // internal_search_mode + ValueLayout.JAVA_LONG // internal_search_bound ) ); @@ -901,6 +903,35 @@ public static void closeDatafusionReader(long ptr) { // ---- Query execution (confined Arena for tableName + plan bytes) ---- + /** {@code internal_search_mode}: normal query — decode {@code substraitPlan} as Substrait. */ + public static final long INTERNAL_SEARCH_OFF = 0L; + /** {@code internal_search_mode}: get-by-row-id — native plan filters {@code __row_id__ = bound}, {@code substraitPlan} ignored. */ + public static final long INTERNAL_SEARCH_BY_ROW_ID = 1L; + /** {@code internal_search_mode}: seq-no scan — native plan filters {@code _seq_no > bound}, {@code substraitPlan} ignored. */ + public static final long INTERNAL_SEARCH_SEQ_NO_ABOVE = 2L; + + public static void executeQueryAsync( + long readerPtr, + String tableName, + byte[] substraitPlan, + long runtimePtr, + long contextId, + long queryConfigPtr, + ActionListener listener + ) { + executeQueryAsync(readerPtr, tableName, substraitPlan, runtimePtr, contextId, queryConfigPtr, INTERNAL_SEARCH_OFF, 0L, listener); + } + + /** + * Executes a query and returns an opaque stream pointer via {@code listener}. + *

+ * When {@code internalSearchMode} is {@link #INTERNAL_SEARCH_OFF}, {@code substraitPlan} is + * decoded as a Substrait plan (normal search). When it is {@link #INTERNAL_SEARCH_BY_ROW_ID} + * or {@link #INTERNAL_SEARCH_SEQ_NO_ABOVE}, the native side ignores {@code substraitPlan} and + * builds a single pushed-down filter plan via the DataFusion DataFrame API, using + * {@code internalSearchBound} as the {@code __row_id__} value or the {@code _seq_no} floor. + * The returned stream is drained identically in all modes. + */ public static void executeQueryAsync( long readerPtr, String tableName, @@ -908,6 +939,8 @@ public static void executeQueryAsync( long runtimePtr, long contextId, long queryConfigPtr, + long internalSearchMode, + long internalSearchBound, ActionListener listener ) { try { @@ -928,7 +961,9 @@ public static void executeQueryAsync( (long) substraitPlan.length, runtimePtr, contextId, - queryConfigPtr + queryConfigPtr, + internalSearchMode, + internalSearchBound ); listener.onResponse(result); } catch (Throwable t) { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/GetServiceTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/GetServiceTests.java new file mode 100644 index 0000000000000..7cc4f7f3ad49d --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/GetServiceTests.java @@ -0,0 +1,146 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion; + +import org.opensearch.analytics.spi.DocumentLookupService; +import org.opensearch.analytics.spi.DocumentRowReader; +import org.opensearch.core.index.Index; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.DocumentMetadataResolver.DocumentMetadata; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.engine.exec.WriterFileSet; +import org.opensearch.index.engine.exec.coord.CatalogSnapshot; +import org.opensearch.index.get.DocumentLookupResult; +import org.opensearch.test.OpenSearchTestCase; + +import java.io.IOException; +import java.util.Map; +import java.util.Set; + +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +public class GetServiceTests extends OpenSearchTestCase { + + private static final Index INDEX = new Index("idx", "uuid"); + + private DocumentRowReader mockExecutor; + + @Override + public void setUp() throws Exception { + super.setUp(); + mockExecutor = mock(DocumentRowReader.class); + } + + public void testGetById_nullResolver_returnsNotFound() throws IOException { + DocumentMetadataResolver resolver = mock(DocumentMetadataResolver.class); + when(resolver.resolveMetadata(any(), eq("doc1"))).thenReturn(null); + + IndexReaderProvider.Reader mockReader = mock(IndexReaderProvider.Reader.class); + DocumentLookupService service = new GetService(mockExecutor).documentLookupService(resolver); + DocumentLookupResult result = service.getById("doc1", mockReader, INDEX); + assertFalse(result.exists()); + assertEquals("doc1", result.id()); + } + + public void testGetById_docFound_returnsFromParquet() throws IOException { + DocumentMetadataResolver resolver = mock(DocumentMetadataResolver.class); + DocumentMetadata metadata = new DocumentMetadata("doc1", 0L, 1L); + when(resolver.resolveMetadata(any(), eq("doc1"))).thenReturn(metadata); + + DocumentRowReader executor = mock(DocumentRowReader.class); + IndexReaderProvider.Reader mockReader = mock(IndexReaderProvider.Reader.class); + WriterFileSet pset = new WriterFileSet("/dir", 1L, Set.of("f.parquet"), 1L, 100L); + CatalogSnapshot snapshot = mock(CatalogSnapshot.class); + when(mockReader.catalogSnapshot()).thenReturn(snapshot); + when(snapshot.findFileSet("parquet", 1L)).thenReturn(pset); + when(executor.formatName()).thenReturn("parquet"); + when(executor.executeSingleRow(0L, pset)).thenReturn( + Map.of("_id", "doc1", "_seq_no", 5L, "_primary_term", 1L, "_version", 2L, "field1", "value1") + ); + + DocumentLookupService service = new GetService(executor).documentLookupService(resolver); + DocumentLookupResult result = service.getById("doc1", mockReader, INDEX); + + assertTrue("doc should be found", result.exists()); + assertEquals("doc1", result.id()); + assertEquals(5L, result.seqNo()); + assertEquals(2L, result.version()); + } + + public void testGetById_executorReturnsNull_throwsISE() throws IOException { + DocumentMetadataResolver resolver = mock(DocumentMetadataResolver.class); + DocumentMetadata metadata = new DocumentMetadata("doc1", 0L, 1L); + when(resolver.resolveMetadata(any(), eq("doc1"))).thenReturn(metadata); + + DocumentRowReader executor = mock(DocumentRowReader.class); + IndexReaderProvider.Reader mockReader = mock(IndexReaderProvider.Reader.class); + WriterFileSet pset = new WriterFileSet("/dir", 1L, Set.of("f.parquet"), 1L, 100L); + CatalogSnapshot snapshot = mock(CatalogSnapshot.class); + when(mockReader.catalogSnapshot()).thenReturn(snapshot); + when(snapshot.findFileSet("parquet", 1L)).thenReturn(pset); + when(executor.formatName()).thenReturn("parquet"); + when(executor.executeSingleRow(0L, pset)).thenReturn(null); + + DocumentLookupService service = new GetService(executor).documentLookupService(resolver); + expectThrows(IllegalStateException.class, () -> service.getById("doc1", mockReader, INDEX)); + } + + public void testGetById_fileSetNull_throwsISE() throws IOException { + DocumentMetadataResolver resolver = mock(DocumentMetadataResolver.class); + DocumentMetadata metadata = new DocumentMetadata("doc1", 0L, 1L); + when(resolver.resolveMetadata(any(), eq("doc1"))).thenReturn(metadata); + + IndexReaderProvider.Reader mockReader = mock(IndexReaderProvider.Reader.class); + CatalogSnapshot snapshot = mock(CatalogSnapshot.class); + when(mockReader.catalogSnapshot()).thenReturn(snapshot); + when(snapshot.findFileSet("parquet", 1L)).thenReturn(null); + when(mockExecutor.formatName()).thenReturn("parquet"); + + DocumentLookupService service = new GetService(mockExecutor).documentLookupService(resolver); + expectThrows(IllegalStateException.class, () -> service.getById("doc1", mockReader, INDEX)); + } + + public void testGetById_resolverThrows_propagates() throws IOException { + DocumentMetadataResolver resolver = mock(DocumentMetadataResolver.class); + when(resolver.resolveMetadata(any(), eq("doc1"))).thenThrow(new IOException("reader closed")); + + IndexReaderProvider.Reader mockReader = mock(IndexReaderProvider.Reader.class); + DocumentLookupService service = new GetService(mockExecutor).documentLookupService(resolver); + expectThrows(IOException.class, () -> service.getById("doc1", mockReader, INDEX)); + } + + public void testExtractLong_number() throws Exception { + assertEquals(42L, invokeExtractLong(Map.of("k", 42), "k", -1L)); + assertEquals(42L, invokeExtractLong(Map.of("k", 42L), "k", -1L)); + assertEquals(42L, invokeExtractLong(Map.of("k", 42.9), "k", -1L)); + } + + public void testExtractLong_string() throws Exception { + assertEquals(99L, invokeExtractLong(Map.of("k", "99"), "k", -1L)); + } + + public void testExtractLong_missing_returnsFallback() throws Exception { + assertEquals(-1L, invokeExtractLong(Map.of(), "k", -1L)); + } + + public void testExtractLong_invalidString_returnsFallback() throws Exception { + assertEquals(-1L, invokeExtractLong(Map.of("k", "abc"), "k", -1L)); + } + + public void testNoopResolver_returnsNull() throws IOException { + assertNull(DocumentMetadataResolver.NOOP.resolveMetadata(mock(IndexReaderProvider.Reader.class), "any")); + } + + private static long invokeExtractLong(Map row, String key, long fallback) { + return DocumentLookupService.extractLong(row, key, fallback); + } +} diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LuceneDocumentResolver.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LuceneDocumentResolver.java new file mode 100644 index 0000000000000..60ab0b41b7972 --- /dev/null +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LuceneDocumentResolver.java @@ -0,0 +1,98 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.lucene; + +import org.apache.lucene.index.DirectoryReader; +import org.apache.lucene.index.FilterLeafReader; +import org.apache.lucene.index.LeafReader; +import org.apache.lucene.index.LeafReaderContext; +import org.apache.lucene.index.SegmentReader; +import org.apache.lucene.index.SortedNumericDocValues; +import org.apache.lucene.index.Term; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.common.lucene.uid.VersionsAndSeqNoResolver; +import org.opensearch.index.engine.dataformat.DocumentInput; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.mapper.IdFieldMapper; +import org.opensearch.index.mapper.Uid; + +import java.io.IOException; + +/** + * Lucene-backed {@link DocumentMetadataResolver}: an {@code _id} lookup yields the row location + * ({@code rowId} from {@code __row_id__} doc values, {@code writerGeneration} from the segment + * attribute). Version fields are not read here. An empty reader or absent id reports "not found". + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class LuceneDocumentResolver implements DocumentMetadataResolver { + + @Override + public DocumentMetadata resolveMetadata(IndexReaderProvider.Reader reader, String id) throws IOException { + DirectoryReader luceneReader = directoryReader(reader); + if (luceneReader.numDocs() == 0) { + return null; + } + LeafDoc located = locate(luceneReader, id); + if (located == null) { + return null; + } + LeafReader leaf = located.leaf().reader(); + int localDocId = located.localDocId(); + return new DocumentMetadata(id, readRowId(leaf, localDocId), readWriterGeneration(leaf)); + } + + private long readRowId(LeafReader leaf, int localDocId) throws IOException { + return value(leaf.getSortedNumericDocValues(DocumentInput.ROW_ID_FIELD), localDocId); + } + + private long readWriterGeneration(LeafReader leaf) { + LeafReader unwrapped = FilterLeafReader.unwrap(leaf); + if (!(unwrapped instanceof SegmentReader segmentReader)) { + throw new IllegalStateException("Expected SegmentReader leaf, got " + unwrapped.getClass()); + } + String genAttr = segmentReader.getSegmentInfo().info.getAttribute("writer_generation"); + if (genAttr == null) { + throw new IllegalStateException("Leaf segment missing writer_generation attribute"); + } + try { + return Long.parseLong(genAttr); + } catch (NumberFormatException e) { + throw new IllegalStateException("Invalid writer_generation attribute: [" + genAttr + "]", e); + } + } + + private long value(SortedNumericDocValues dv, int docId) throws IOException { + if (dv == null) { + throw new IllegalStateException("Leaf segment missing " + DocumentInput.ROW_ID_FIELD + " doc values"); + } + if (!dv.advanceExact(docId)) { + throw new IllegalStateException("docId " + docId + " has no " + DocumentInput.ROW_ID_FIELD + " value"); + } + return dv.nextValue(); + } + + private DirectoryReader directoryReader(IndexReaderProvider.Reader reader) { + LuceneReader luceneReader = reader.getReader(LucenePlugin.DATA_FORMAT, LuceneReader.class); + return luceneReader.directoryReader(); + } + + private LeafDoc locate(DirectoryReader luceneReader, String id) throws IOException { + Term term = new Term(IdFieldMapper.NAME, Uid.encodeId(id)); + // Reuse the core per-thread, per-segment _id lookup cache (newest-segment-first, liveDocs-aware). + // We only need the doc location here; version/seqNo/primaryTerm come from the parquet row. + VersionsAndSeqNoResolver.DocIdAndSeqNo hit = VersionsAndSeqNoResolver.loadDocId(luceneReader, term); + return hit == null ? null : new LeafDoc(hit.context, hit.docId); + } + + private record LeafDoc(LeafReaderContext leaf, int localDocId) { + } +} diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LucenePlugin.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LucenePlugin.java index 0fe0d1c5c0191..84b70054a85bc 100644 --- a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LucenePlugin.java +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/LucenePlugin.java @@ -36,7 +36,9 @@ import org.opensearch.index.engine.dataformat.IndexingEngineConfig; import org.opensearch.index.engine.dataformat.IndexingExecutionEngine; import org.opensearch.index.engine.dataformat.ReaderManagerConfig; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; +import org.opensearch.index.engine.exec.IndexReaderProvider; import org.opensearch.index.engine.exec.commit.Committer; import org.opensearch.index.engine.exec.commit.CommitterFactory; import org.opensearch.index.store.checksum.LuceneChecksumHandler; @@ -69,9 +71,16 @@ * @opensearch.experimental */ @ExperimentalApi -public class LucenePlugin extends Plugin implements DataFormatPlugin, SearchBackEndPlugin, EnginePlugin, ActionPlugin { +public class LucenePlugin extends Plugin + implements + DataFormatPlugin, + SearchBackEndPlugin, + EnginePlugin, + ActionPlugin, + DocumentMetadataResolver { public static final LuceneDataFormat DATA_FORMAT = new LuceneDataFormat(); + private final LuceneDocumentResolver documentResolver = new LuceneDocumentResolver(); /** Creates a new LucenePlugin. */ public LucenePlugin() {} @@ -195,4 +204,12 @@ public List getRestHandlers( ) { return List.of(new LuceneStatsRestAction(), new LuceneNodeStatsRestAction()); } + + // --- DocumentMetadataResolver --- + + /** {@inheritDoc} Resolves a document id to its row location via Lucene. */ + @Override + public DocumentMetadata resolveMetadata(IndexReaderProvider.Reader reader, String id) throws IOException { + return documentResolver.resolveMetadata(reader, id); + } } diff --git a/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/LuceneDocumentResolverTests.java b/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/LuceneDocumentResolverTests.java new file mode 100644 index 0000000000000..14dd8fc05b02d --- /dev/null +++ b/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/LuceneDocumentResolverTests.java @@ -0,0 +1,175 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.lucene; + +import org.apache.lucene.codecs.Codec; +import org.apache.lucene.codecs.FilterCodec; +import org.apache.lucene.codecs.SegmentInfoFormat; +import org.apache.lucene.document.Document; +import org.apache.lucene.document.Field; +import org.apache.lucene.document.LongPoint; +import org.apache.lucene.document.NumericDocValuesField; +import org.apache.lucene.document.SortedNumericDocValuesField; +import org.apache.lucene.document.StoredField; +import org.apache.lucene.document.StringField; +import org.apache.lucene.index.DirectoryReader; +import org.apache.lucene.index.IndexWriter; +import org.apache.lucene.index.IndexWriterConfig; +import org.apache.lucene.index.SegmentInfo; +import org.apache.lucene.store.ByteBuffersDirectory; +import org.apache.lucene.store.Directory; +import org.apache.lucene.store.IOContext; +import org.opensearch.index.engine.dataformat.DataFormat; +import org.opensearch.index.engine.dataformat.DocumentInput; +import org.opensearch.index.engine.exec.DocumentMetadataResolver.DocumentMetadata; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.mapper.IdFieldMapper; +import org.opensearch.index.mapper.SeqNoFieldMapper; +import org.opensearch.index.mapper.Uid; +import org.opensearch.index.mapper.VersionFieldMapper; +import org.opensearch.test.OpenSearchTestCase; + +import java.io.IOException; + +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; + +public class LuceneDocumentResolverTests extends OpenSearchTestCase { + + private final LuceneDocumentResolver resolver = new LuceneDocumentResolver(); + + // --- resolveMetadata --- + + /** + * When the index has no Lucene secondary reader, {@code directoryReader(reader)} fails fast: + * resolution cannot proceed without a Lucene reader, so it throws rather than returning a bogus result. + */ + public void testResolveMetadata_emptyReader_returnsNull() throws IOException { + try (Directory dir = new ByteBuffersDirectory()) { + try (IndexWriter w = new IndexWriter(dir, new IndexWriterConfig())) { + w.commit(); + } + try (DirectoryReader dr = DirectoryReader.open(dir)) { + assertNull(resolver.resolveMetadata(readerReturning(dr), "doc1")); + } + } + } + + public void testResolveMetadata_idNotPresent_returnsNull() throws IOException { + try (Directory dir = new ByteBuffersDirectory()) { + try (IndexWriter w = new IndexWriter(dir, iwc(codecWithGeneration("1")))) { + addDoc(w, "other", 1L, 1L, 1L, 0L, true); + } + try (DirectoryReader dr = DirectoryReader.open(dir)) { + assertNull(resolver.resolveMetadata(readerReturning(dr), "missing")); + } + } + } + + public void testResolveMetadata_found_returnsMetadata() throws IOException { + try (Directory dir = new ByteBuffersDirectory()) { + try (IndexWriter w = new IndexWriter(dir, iwc(codecWithGeneration("5")))) { + addDoc(w, "doc1", 7L, 42L, 3L, 9L, true); + } + try (DirectoryReader dr = DirectoryReader.open(dir)) { + DocumentMetadata md = resolver.resolveMetadata(readerReturning(dr), "doc1"); + assertNotNull(md); + assertEquals("doc1", md.id()); + assertEquals(9L, md.rowId()); + assertEquals(5L, md.writerGeneration()); + } + } + } + + public void testResolveMetadata_missingWriterGeneration_throwsISE() throws IOException { + try (Directory dir = new ByteBuffersDirectory()) { + // default codec → no writer_generation segment attribute + try (IndexWriter w = new IndexWriter(dir, new IndexWriterConfig())) { + addDoc(w, "doc1", 1L, 1L, 1L, 0L, true); + } + try (DirectoryReader dr = DirectoryReader.open(dir)) { + IllegalStateException e = expectThrows( + IllegalStateException.class, + () -> resolver.resolveMetadata(readerReturning(dr), "doc1") + ); + assertTrue(e.getMessage().contains("writer_generation")); + } + } + } + + public void testResolveMetadata_missingRowIdDocValues_throwsISE() throws IOException { + try (Directory dir = new ByteBuffersDirectory()) { + try (IndexWriter w = new IndexWriter(dir, iwc(codecWithGeneration("1")))) { + addDoc(w, "doc1", 1L, 1L, 1L, 0L, false); // no __row_id__ doc values + } + try (DirectoryReader dr = DirectoryReader.open(dir)) { + IllegalStateException e = expectThrows( + IllegalStateException.class, + () -> resolver.resolveMetadata(readerReturning(dr), "doc1") + ); + assertTrue(e.getMessage().contains(DocumentInput.ROW_ID_FIELD)); + } + } + } + + // --- helpers --- + + private static IndexReaderProvider.Reader readerReturning(DirectoryReader dr) { + IndexReaderProvider.Reader reader = mock(IndexReaderProvider.Reader.class); + when(reader.getReader(any(DataFormat.class), eq(LuceneReader.class))).thenReturn(new LuceneReader(dr, java.util.Map.of())); + return reader; + } + + private static IndexWriterConfig iwc(Codec codec) { + IndexWriterConfig c = new IndexWriterConfig(); + c.setCodec(codec); + return c; + } + + private static void addDoc(IndexWriter w, String id, long version, long seqNo, long primaryTerm, long rowId, boolean withRowId) + throws IOException { + Document doc = new Document(); + doc.add(new StringField(IdFieldMapper.NAME, Uid.encodeId(id), Field.Store.NO)); // for _id TermQuery + doc.add(new StoredField(IdFieldMapper.NAME, Uid.encodeId(id))); // for decodeId (restore path) + doc.add(new NumericDocValuesField(VersionFieldMapper.NAME, version)); + doc.add(new LongPoint(SeqNoFieldMapper.NAME, seqNo)); // for LongPoint range scan + doc.add(new NumericDocValuesField(SeqNoFieldMapper.NAME, seqNo)); + doc.add(new NumericDocValuesField(SeqNoFieldMapper.PRIMARY_TERM_NAME, primaryTerm)); + if (withRowId) { + doc.add(new SortedNumericDocValuesField(DocumentInput.ROW_ID_FIELD, rowId)); + } + w.addDocument(doc); + w.commit(); + } + + /** Codec that stamps a {@code writer_generation} segment attribute, mirroring the production writer. */ + private static Codec codecWithGeneration(String gen) { + Codec base = Codec.getDefault(); + return new FilterCodec(base.getName(), base) { + @Override + public SegmentInfoFormat segmentInfoFormat() { + SegmentInfoFormat delegate = base.segmentInfoFormat(); + return new SegmentInfoFormat() { + @Override + public SegmentInfo read(Directory d, String name, byte[] id, IOContext ctx) throws IOException { + return delegate.read(d, name, id, ctx); + } + + @Override + public void write(Directory d, SegmentInfo info, IOContext ctx) throws IOException { + info.putAttribute("writer_generation", gen); + delegate.write(d, info, ctx); + } + }; + } + }; + } +} diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/ArrowValues.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/ArrowValues.java index b62d1c7c7a64c..e79af1e694ff8 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/ArrowValues.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/ArrowValues.java @@ -10,8 +10,10 @@ import org.apache.arrow.vector.FieldVector; import org.apache.arrow.vector.VarCharVector; +import org.apache.arrow.vector.VectorSchemaRoot; import org.apache.arrow.vector.complex.ListVector; import org.apache.arrow.vector.complex.MapVector; +import org.apache.arrow.vector.types.TimeUnit; import org.apache.arrow.vector.types.pojo.ArrowType; import org.apache.arrow.vector.types.pojo.Field; import org.apache.arrow.vector.util.Text; @@ -50,6 +52,76 @@ public final class ArrowValues { private ArrowValues() {} + private static final DateTimeFormatter ISO_FORMATTER = DateTimeFormatter.ISO_INSTANT.withZone(ZoneOffset.UTC); + + /** Converts row {@code rowId} of a {@link VectorSchemaRoot} into a JSON-friendly field map. */ + public static Map toSourceMap(VectorSchemaRoot root, int rowId) { + Map out = new LinkedHashMap<>(); + for (Field field : root.getSchema().getFields()) { + Object converted = toSourceValue(root.getVector(field.getName()), rowId); + if (converted != null) { + out.put(field.getName(), converted); + } + } + return out; + } + + /** + * Reads an Arrow cell as a JSON-friendly scalar: numerics coerced to + * {@code long}/{@code double}, timestamps rendered as ISO-8601 UTC strings. Binary and + * complex (list/struct/decimal) types are not yet supported and return {@code null}. + */ + public static Object toSourceValue(FieldVector vec, int idx) { + if (vec == null || vec.isNull(idx)) return null; + ArrowType type = vec.getField().getType(); + ArrowType.ArrowTypeID id = type.getTypeID(); + switch (id) { + case Binary: + case LargeBinary: + case FixedSizeBinary: + case BinaryView: + return null; + default: + break; + } + Object raw = vec.getObject(idx); + switch (id) { + case Utf8: + case LargeUtf8: + case Utf8View, Date: + return raw == null ? null : raw.toString(); + case Int: + return raw instanceof Number ? ((Number) raw).longValue() : raw; + case FloatingPoint: + return raw instanceof Number ? ((Number) raw).doubleValue() : raw; + case Bool: + return raw; + case Timestamp: + if (raw instanceof Number) { + ArrowType.Timestamp ts = (ArrowType.Timestamp) type; + return ISO_FORMATTER.format(toInstant(((Number) raw).longValue(), ts.getUnit())); + } + return raw == null ? null : raw.toString(); + default: + // TODO type coverage (list, struct, decimal) + return null; + } + } + + private static Instant toInstant(long v, TimeUnit unit) { + switch (unit) { + case SECOND: + return Instant.ofEpochSecond(v); + case MILLISECOND: + return Instant.ofEpochMilli(v); + case MICROSECOND: + return Instant.ofEpochSecond(v / 1_000_000L, (v % 1_000_000L) * 1_000L); + case NANOSECOND: + default: + return Instant.ofEpochSecond(v / 1_000_000_000L, v % 1_000_000_000L); + } + } + public static Object toJavaValue(FieldVector vector, int index) { if (vector.isNull(index)) return null; if (vector instanceof VarCharVector v) { diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/ArrowValuesTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/ArrowValuesTests.java index 77f3b3088bfc7..6914a1fddca93 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/ArrowValuesTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/ArrowValuesTests.java @@ -11,8 +11,12 @@ import org.apache.arrow.memory.BufferAllocator; import org.apache.arrow.memory.RootAllocator; import org.apache.arrow.vector.BigIntVector; +import org.apache.arrow.vector.BitVector; import org.apache.arrow.vector.DateDayVector; import org.apache.arrow.vector.DateMilliVector; +import org.apache.arrow.vector.FieldVector; +import org.apache.arrow.vector.Float8Vector; +import org.apache.arrow.vector.IntVector; import org.apache.arrow.vector.TimeMicroVector; import org.apache.arrow.vector.TimeMilliVector; import org.apache.arrow.vector.TimeNanoVector; @@ -21,7 +25,9 @@ import org.apache.arrow.vector.TimeStampMilliVector; import org.apache.arrow.vector.TimeStampNanoVector; import org.apache.arrow.vector.TimeStampSecVector; +import org.apache.arrow.vector.VarBinaryVector; import org.apache.arrow.vector.VarCharVector; +import org.apache.arrow.vector.VectorSchemaRoot; import org.apache.arrow.vector.complex.ListVector; import org.apache.arrow.vector.complex.impl.UnionListWriter; import org.apache.arrow.vector.types.TimeUnit; @@ -31,6 +37,10 @@ import org.opensearch.test.OpenSearchTestCase; import java.util.List; +import java.util.Map; + +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; /** Null, BigInt pass-through, VarChar, Date/Time/Timestamp formatting (scalar + list). */ public class ArrowValuesTests extends OpenSearchTestCase { @@ -212,4 +222,110 @@ public void testListOfTimeElementsHasNoEpochPrefix() { assertEquals(List.of("07:40:05"), cell); } } + + // ---- toSourceValue / toSourceMap (moved from GetService.NativeBridgeExecutor) ---- + + public void testToSourceValueNullReturnsNull() { + try (BigIntVector v = new BigIntVector("x", allocator)) { + v.allocateNew(1); + v.setNull(0); + v.setValueCount(1); + assertNull(ArrowValues.toSourceValue(v, 0)); + } + } + + public void testToSourceValueBinaryDropped() { + try (VarBinaryVector v = new VarBinaryVector("b", allocator)) { + v.allocateNew(); + v.setSafe(0, new byte[] { 1, 2, 3 }); + v.setValueCount(1); + assertNull(ArrowValues.toSourceValue(v, 0)); + } + } + + public void testToSourceValueUtf8AsString() { + try (VarCharVector v = new VarCharVector("s", allocator)) { + v.allocateNew(); + v.setSafe(0, "hello".getBytes(java.nio.charset.StandardCharsets.UTF_8)); + v.setValueCount(1); + assertEquals("hello", ArrowValues.toSourceValue(v, 0)); + } + } + + public void testToSourceValueIntAsLong() { + try (IntVector v = new IntVector("n", allocator)) { + v.allocateNew(1); + v.set(0, 42); + v.setValueCount(1); + assertEquals(42L, ArrowValues.toSourceValue(v, 0)); + } + } + + public void testToSourceValueFloatingPointAsDouble() { + try (Float8Vector v = new Float8Vector("d", allocator)) { + v.allocateNew(1); + v.set(0, 3.5d); + v.setValueCount(1); + assertEquals(3.5d, (double) ArrowValues.toSourceValue(v, 0), 0.0d); + } + } + + public void testToSourceValueBoolAsBoolean() { + try (BitVector v = new BitVector("flag", allocator)) { + v.allocateNew(1); + v.set(0, 1); + v.setValueCount(1); + assertEquals(Boolean.TRUE, ArrowValues.toSourceValue(v, 0)); + } + } + + /** Standard timestamp vectors decode to LocalDateTime; toSourceValue renders that via toString() (ISO-8601, 'T' separator, no 'Z'). */ + public void testToSourceValueTimestampLocalDateTimeToString() { + try (TimeStampMilliVector v = new TimeStampMilliVector("ts", allocator)) { + v.allocateNew(1); + v.set(0, 1_780_731_605_000L); + v.setValueCount(1); + assertEquals("2026-06-06T07:40:05", ArrowValues.toSourceValue(v, 0)); + } + } + + /** When a Timestamp cell decodes to a raw Number, toSourceValue formats it as ISO-8601 UTC (with 'Z') across all units. */ + public void testToSourceValueTimestampNumberRendersIsoUtc() { + assertEquals("2026-06-06T07:40:05Z", numericTimestampSource(1_780_731_605L, TimeUnit.SECOND)); + assertEquals("2026-06-06T07:40:05.123Z", numericTimestampSource(1_780_731_605_123L, TimeUnit.MILLISECOND)); + assertEquals("2026-06-06T07:40:05.123456Z", numericTimestampSource(1_780_731_605_123_456L, TimeUnit.MICROSECOND)); + assertEquals("2026-06-06T07:40:05.123456789Z", numericTimestampSource(1_780_731_605_123_456_789L, TimeUnit.NANOSECOND)); + } + + /** Builds a Timestamp-typed vector whose cell decodes to a raw Long, exercising the numeric ISO branch + toInstant. */ + private static Object numericTimestampSource(long raw, TimeUnit unit) { + FieldVector vec = mock(FieldVector.class); + when(vec.isNull(0)).thenReturn(false); + when(vec.getField()).thenReturn(Field.nullable("ts", new ArrowType.Timestamp(unit, null))); + when(vec.getObject(0)).thenReturn(raw); + return ArrowValues.toSourceValue(vec, 0); + } + + public void testToSourceMapDropsNullsAndPreservesFieldOrder() { + VarCharVector name = new VarCharVector("name", allocator); + IntVector age = new IntVector("age", allocator); + VarCharVector missing = new VarCharVector("missing", allocator); + name.allocateNew(); + name.setSafe(0, "alice".getBytes(java.nio.charset.StandardCharsets.UTF_8)); + name.setValueCount(1); + age.allocateNew(1); + age.set(0, 30); + age.setValueCount(1); + missing.allocateNew(); + missing.setNull(0); + missing.setValueCount(1); + // VectorSchemaRoot.of takes ownership; closing root closes the child vectors. + try (VectorSchemaRoot root = VectorSchemaRoot.of(name, age, missing)) { + Map out = ArrowValues.toSourceMap(root, 0); + assertEquals(2, out.size()); + assertEquals("alice", out.get("name")); + assertEquals(30L, out.get("age")); + assertFalse(out.containsKey("missing")); + } + } } diff --git a/sandbox/plugins/composite-engine/build.gradle b/sandbox/plugins/composite-engine/build.gradle index 06c3e157e2647..143a65571fc95 100644 --- a/sandbox/plugins/composite-engine/build.gradle +++ b/sandbox/plugins/composite-engine/build.gradle @@ -59,6 +59,7 @@ dependencies { internalClusterTestImplementation project(':sandbox:plugins:parquet-data-format') internalClusterTestImplementation project(':sandbox:plugins:analytics-backend-lucene') internalClusterTestImplementation project(':sandbox:plugins:analytics-backend-datafusion') + internalClusterTestImplementation project(':sandbox:plugins:analytics-engine') internalClusterTestImplementation project(':sandbox:libs:analytics-framework') internalClusterTestImplementation project(':sandbox:plugins:native-repository-fs') // Netty4 HTTP transport for ITs that use the low-level RestClient (e.g., DataFormatStatsIT, *DataFormatApi*IT). diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java new file mode 100644 index 0000000000000..55d659648e1f7 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java @@ -0,0 +1,99 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import org.opensearch.action.get.GetResponse; +import org.opensearch.action.index.IndexResponse; +import org.opensearch.common.settings.Settings; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.test.OpenSearchIntegTestCase; + +/** + * End-to-end get-by-id coverage for the hot {@link org.opensearch.index.engine.DataFormatAwareEngine}: + * exercises both the in-memory version-map path (realtime GET before refresh) and the parquet row + * path (GET after refresh) under active indexing and interleaved refreshes. + */ +@OpenSearchIntegTestCase.ClusterScope(scope = OpenSearchIntegTestCase.Scope.TEST, numDataNodes = 1) +public class DataFormatAwareGetByIdIT extends AbstractCompositeEngineIT { + + private static final String INDEX = "dfae_getbyid"; + + /** + * Creates the composite index (Lucene secondary for {@code _id} resolution) with auto-refresh + * disabled so the version-map vs row paths stay deterministic across the refresh boundary. + */ + private void createManualRefreshIndex() { + createCompositeIndex(INDEX); // withLuceneSecondary = true + client().admin().indices().prepareUpdateSettings(INDEX).setSettings(Settings.builder().put("index.refresh_interval", -1)).get(); + } + + private IndexResponse indexDoc(String id, String name, int value) { + return client().prepareIndex().setIndex(INDEX).setId(id).setSource("name", name, "value", value).get(); + } + + private static int intValue(GetResponse r) { + return ((Number) r.getSourceAsMap().get("value")).intValue(); + } + + public void testRealtimeGetHitsVersionMapBeforeRefresh() { + createManualRefreshIndex(); + assertEquals(RestStatus.CREATED, indexDoc("1", "doc_1", 1).status()); + + // Realtime GET resolves from the in-memory version map (translog-backed) before any refresh. + GetResponse realtime = client().prepareGet(INDEX, "1").setRealtime(true).get(); + assertTrue("realtime get must find the unrefreshed doc", realtime.isExists()); + assertEquals(1L, realtime.getVersion()); + assertEquals("doc_1", realtime.getSourceAsMap().get("name")); + assertEquals(1, intValue(realtime)); + + // Non-realtime GET only sees refreshed (row) data -> not found yet, proving rows are still empty. + GetResponse nonRealtime = client().prepareGet(INDEX, "1").setRealtime(false).get(); + assertFalse("non-realtime get must not see the unrefreshed doc", nonRealtime.isExists()); + } + + public void testGetHitsRowsAfterRefresh() { + createManualRefreshIndex(); + assertEquals(RestStatus.CREATED, indexDoc("2", "doc_2", 2).status()); + refreshIndex(INDEX); + + // After refresh the doc is materialized into parquet rows; non-realtime GET resolves via the row path. + GetResponse resp = client().prepareGet(INDEX, "2").setRealtime(false).get(); + assertTrue("post-refresh get must find the doc via rows", resp.isExists()); + assertEquals(1L, resp.getVersion()); + assertEquals("doc_2", resp.getSourceAsMap().get("name")); + assertEquals(2, intValue(resp)); + } + + public void testActiveIndexingWithInterleavedRefreshes() { + createManualRefreshIndex(); + // First batch then refresh -> these live in rows. + indexDocs(INDEX, 25, 1); + refreshIndex(INDEX); + // Second batch, NOT refreshed -> these live only in the version map. + indexDocs(INDEX, 25, 26); + + // Refreshed id -> row path. + GetResponse refreshed = client().prepareGet(INDEX, "10").setRealtime(false).get(); + assertTrue("refreshed id must be found via rows", refreshed.isExists()); + assertEquals("doc_10", refreshed.getSourceAsMap().get("name")); + assertEquals(10, intValue(refreshed)); + + // Unrefreshed id -> version-map path (realtime found), absent from rows (non-realtime not found). + GetResponse unrefreshedRealtime = client().prepareGet(INDEX, "40").setRealtime(true).get(); + assertTrue("unrefreshed id must be found realtime via version map", unrefreshedRealtime.isExists()); + assertEquals("doc_40", unrefreshedRealtime.getSourceAsMap().get("name")); + assertFalse("unrefreshed id must be absent from rows", client().prepareGet(INDEX, "40").setRealtime(false).get().isExists()); + + // After a second refresh the previously-unrefreshed id resolves via rows too. + refreshIndex(INDEX); + GetResponse nowInRows = client().prepareGet(INDEX, "40").setRealtime(false).get(); + assertTrue("after refresh id must be found via rows", nowInRows.isExists()); + assertEquals(40, intValue(nowInRows)); + } +} diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java index 427b2829f5483..4d0cbb3e3ed23 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java @@ -18,7 +18,6 @@ import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.settings.Settings; import org.opensearch.common.util.FeatureFlags; -import org.opensearch.composite.framework.ParquetOnlyDataFormatPlugin; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; import org.opensearch.core.xcontent.NamedXContentRegistry; @@ -29,6 +28,7 @@ import org.opensearch.indices.recovery.RecoverySettings; import org.opensearch.indices.replication.common.ReplicationType; import org.opensearch.node.Node; +import org.opensearch.parquet.ParquetDataFormatPlugin; import org.opensearch.plugins.Plugin; import org.opensearch.remotestore.RemoteStoreBaseIntegTestCase; import org.opensearch.remotestore.mocks.MockFsMetadataSupportedRepositoryPlugin; @@ -136,7 +136,7 @@ protected Collection> nodePlugins() { .filter(p -> p != MockFsRepositoryPlugin.class), Stream.>of( ArrowBasePlugin.class, - ParquetOnlyDataFormatPlugin.class, + ParquetDataFormatPlugin.class, CompositeDataFormatPlugin.class, LucenePlugin.class, DataFusionPlugin.class, diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java new file mode 100644 index 0000000000000..4a0a64a296105 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java @@ -0,0 +1,43 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import org.opensearch.action.get.GetResponse; +import org.opensearch.index.engine.DataFormatAwareReadOnlyEngine; +import org.opensearch.index.engine.exec.Indexer; +import org.opensearch.index.shard.IndexShard; +import org.opensearch.index.shard.IndexShardTestCase; + +/** + * End-to-end get-by-id coverage for {@link DataFormatAwareReadOnlyEngine}: after an index is tiered to + * warm, a document is still resolvable by id via the read-only row path (the warm engine has no version map). + */ +public class DataFormatAwareReadonlyGetByIdIT extends DataFormatAwareReadonlyEngineBaseIT { + + public void testGetByIdFromWarmReadOnlyEngine() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(2); + createHotIndexAndTierToWarm(0); // indexes ids 0..49 (field_text="value_", field_number=), flush, flip to warm + + // Confirm the warm primary really runs the read-only engine. + IndexShard primaryShard = getIndexShard(primaryNodeName()); + Indexer indexer = IndexShardTestCase.getIndexer(primaryShard); + assertTrue( + "warm primary must use DataFormatAwareReadOnlyEngine, got: " + indexer.getClass().getSimpleName(), + indexer instanceof DataFormatAwareReadOnlyEngine + ); + + // GET by id resolves via the warm read-only row path. + GetResponse resp = client().prepareGet(INDEX_NAME, "5").setRealtime(false).get(); + assertTrue("warm get-by-id must find the doc via rows", resp.isExists()); + assertEquals(1L, resp.getVersion()); + assertEquals("value_5", resp.getSourceAsMap().get("field_text")); + assertEquals(5L, ((Number) resp.getSourceAsMap().get("field_number")).longValue()); + } +} diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java new file mode 100644 index 0000000000000..fbb6cf086b5b4 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java @@ -0,0 +1,42 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import com.carrotsearch.randomizedtesting.annotations.ThreadLeakScope; + +import org.opensearch.action.get.GetResponse; +import org.opensearch.test.OpenSearchIntegTestCase; + +/** + * End-to-end get-by-id coverage for {@link org.opensearch.index.engine.DataFormatAwareNRTReplicationEngine}: + * a doc indexed on the primary is resolvable by id from a replica shard via the row path (the replica + * engine has no live version map) once segment replication has propagated it. + */ +@ThreadLeakScope(ThreadLeakScope.Scope.NONE) +@OpenSearchIntegTestCase.ClusterScope(scope = OpenSearchIntegTestCase.Scope.TEST, numDataNodes = 0) +public class DataFormatAwareReplicaGetByIdIT extends DataFormatAwareReplicationBaseIT { + + public void testGetByIdFromReplica() throws Exception { + createDfaIndex(1); // 1 replica, 2 data nodes (from base) + indexDocs(20); // ids 0..19, RefreshPolicy.NONE + client().admin().indices().prepareRefresh(INDEX_NAME).get(); + // Ensure the replica's catalog has converged with the primary (segments replicated). + assertCatalogSnapshotsConverged(INDEX_NAME); + + String replicaNode = replicaNodeNames().get(0); + // Route the GET to the replica copy so DataFormatAwareNRTReplicationEngine#getById serves it. + GetResponse resp = client().prepareGet(INDEX_NAME, "5").setPreference("_only_nodes:" + replicaNode).setRealtime(false).get(); + + assertTrue("replica get-by-id must find the replicated doc via rows", resp.isExists()); + assertEquals(1L, resp.getVersion()); + assertEquals(5L, ((Number) resp.getSourceAsMap().get("field_number")).longValue()); + assertNotNull(resp.getSourceAsMap().get("field_text")); + assertNotNull(resp.getSourceAsMap().get("field_keyword")); + } +} diff --git a/server/src/main/java/org/opensearch/common/lucene/uid/PerThreadIDVersionAndSeqNoLookup.java b/server/src/main/java/org/opensearch/common/lucene/uid/PerThreadIDVersionAndSeqNoLookup.java index 60d1f9e41ea2c..a8fb16d7ae6b2 100644 --- a/server/src/main/java/org/opensearch/common/lucene/uid/PerThreadIDVersionAndSeqNoLookup.java +++ b/server/src/main/java/org/opensearch/common/lucene/uid/PerThreadIDVersionAndSeqNoLookup.java @@ -78,33 +78,53 @@ final class PerThreadIDVersionAndSeqNoLookup { /** used for assertions to make sure class usage meets assumptions */ private final Object readerKey; + /** Controls which fields a lookup requires at construction. */ + enum LookupMode { + /** Requires {@code _version} doc values and validates the no-op-segment invariant. */ + FULL, + /** Resolves doc id only; tolerates a missing {@code _version} field and segments without {@code _id} terms. */ + DOC_ID_ONLY + } + + /** Initialize a {@link LookupMode#FULL} lookup for the segment. */ + PerThreadIDVersionAndSeqNoLookup(LeafReader reader, String uidField) throws IOException { + this(reader, uidField, LookupMode.FULL); + } + /** - * Initialize lookup for the provided segment + * Initialize a lookup for the segment. + * + * @param mode {@link LookupMode#DOC_ID_ONLY} skips the {@code _version} and no-op-segment checks + * and supports only {@link #getDocID}; {@link #lookupVersion}/{@link #lookupSeqNo} + * require {@link LookupMode#FULL}. */ - PerThreadIDVersionAndSeqNoLookup(LeafReader reader, String uidField) throws IOException { + PerThreadIDVersionAndSeqNoLookup(LeafReader reader, String uidField, LookupMode mode) throws IOException { this.uidField = uidField; final Terms terms = reader.terms(uidField); if (terms == null) { - // If a segment contains only no-ops, it does not have _uid but has both _soft_deletes and _tombstone fields. - final NumericDocValues softDeletesDV = reader.getNumericDocValues(Lucene.SOFT_DELETES_FIELD); - final NumericDocValues tombstoneDV = reader.getNumericDocValues(SeqNoFieldMapper.TOMBSTONE_NAME); - // this is a special case when we pruned away all IDs in a segment since all docs are deleted. - final boolean allDocsDeleted = (softDeletesDV != null && reader.numDocs() == 0); - if ((softDeletesDV == null || tombstoneDV == null) && allDocsDeleted == false) { - throw new IllegalArgumentException( - "reader does not have _uid terms but not a no-op segment; " - + "_soft_deletes [" - + softDeletesDV - + "], _tombstone [" - + tombstoneDV - + "]" - ); + if (mode == LookupMode.FULL) { + // If a segment contains only no-ops, it does not have _uid but has both _soft_deletes and _tombstone fields. + final NumericDocValues softDeletesDV = reader.getNumericDocValues(Lucene.SOFT_DELETES_FIELD); + final NumericDocValues tombstoneDV = reader.getNumericDocValues(SeqNoFieldMapper.TOMBSTONE_NAME); + // this is a special case when we pruned away all IDs in a segment since all docs are deleted. + final boolean allDocsDeleted = (softDeletesDV != null && reader.numDocs() == 0); + if ((softDeletesDV == null || tombstoneDV == null) && allDocsDeleted == false) { + throw new IllegalArgumentException( + "reader does not have _uid terms but not a no-op segment; " + + "_soft_deletes [" + + softDeletesDV + + "], _tombstone [" + + tombstoneDV + + "]" + ); + } } termsEnum = null; } else { termsEnum = terms.iterator(); } - if (reader.getNumericDocValues(VersionFieldMapper.NAME) == null) { + // _version doc values are required for version lookups but not for doc-id-only lookups. + if (mode == LookupMode.FULL && reader.getNumericDocValues(VersionFieldMapper.NAME) == null) { throw new IllegalArgumentException("reader misses the [" + VersionFieldMapper.NAME + "] field; _uid terms [" + terms + "]"); } Object readerKey = null; @@ -144,7 +164,7 @@ public DocIdAndVersion lookupVersion(BytesRef id, boolean loadSeqNo, LeafReaderC * returns the internal lucene doc id for the given id bytes. * {@link DocIdSetIterator#NO_MORE_DOCS} is returned if not found * */ - private int getDocID(BytesRef id, LeafReaderContext context) throws IOException { + int getDocID(BytesRef id, LeafReaderContext context) throws IOException { // termsEnum can possibly be null here if this leaf contains only no-ops. if (termsEnum != null && termsEnum.seekExact(id)) { final Bits liveDocs = context.reader().getLiveDocs(); diff --git a/server/src/main/java/org/opensearch/common/lucene/uid/VersionsAndSeqNoResolver.java b/server/src/main/java/org/opensearch/common/lucene/uid/VersionsAndSeqNoResolver.java index 11b1524dc2a15..d1af74fa237e7 100644 --- a/server/src/main/java/org/opensearch/common/lucene/uid/VersionsAndSeqNoResolver.java +++ b/server/src/main/java/org/opensearch/common/lucene/uid/VersionsAndSeqNoResolver.java @@ -38,10 +38,12 @@ import org.apache.lucene.index.LeafReaderContext; import org.apache.lucene.index.SegmentReader; import org.apache.lucene.index.Term; +import org.apache.lucene.search.DocIdSetIterator; import org.apache.lucene.util.CloseableThreadLocal; import org.opensearch.common.annotation.PublicApi; import org.opensearch.common.util.concurrent.ConcurrentCollections; import org.opensearch.index.codec.CriteriaBasedCodec; +import org.opensearch.index.seqno.SequenceNumbers; import java.io.IOException; import java.util.List; @@ -67,11 +69,22 @@ public final class VersionsAndSeqNoResolver { }; private static PerThreadIDVersionAndSeqNoLookup[] getLookupState(IndexReader reader, String uidField) throws IOException { + return getLookupState(reader, uidField, PerThreadIDVersionAndSeqNoLookup.LookupMode.FULL); + } + + private static PerThreadIDVersionAndSeqNoLookup[] getLookupState( + IndexReader reader, + String uidField, + PerThreadIDVersionAndSeqNoLookup.LookupMode mode + ) throws IOException { // We cache on the top level // This means cache entries have a shorter lifetime, maybe as low as 1s with the // default refresh interval and a steady indexing rate, but on the other hand it // proved to be cheaper than having to perform a CHM and a TL get for every segment. // See https://github.com/elastic/elasticsearch/pull/19856. + // Note: a given reader is only ever queried in one mode — InternalEngine readers go through + // the strict path (LookupMode.FULL); the composite secondary reader is only used by + // loadDocId (LookupMode.DOC_ID_ONLY) — so a cache entry's build mode always matches its caller. IndexReader.CacheHelper cacheHelper = reader.getReaderCacheHelper(); CloseableThreadLocal ctl = lookupStates.get(cacheHelper.getKey()); if (ctl == null) { @@ -91,7 +104,7 @@ private static PerThreadIDVersionAndSeqNoLookup[] getLookupState(IndexReader rea if (lookupState == null) { lookupState = new PerThreadIDVersionAndSeqNoLookup[reader.leaves().size()]; for (LeafReaderContext leaf : reader.leaves()) { - lookupState[leaf.ord] = new PerThreadIDVersionAndSeqNoLookup(leaf.reader(), uidField); + lookupState[leaf.ord] = new PerThreadIDVersionAndSeqNoLookup(leaf.reader(), uidField, mode); } ctl.set(lookupState); } @@ -206,4 +219,28 @@ public static DocIdAndSeqNo loadDocIdAndSeqNo(IndexReader reader, Term term) thr } return null; } + + /** + * Resolves the live doc id for a uid (no {@code _version}/{@code _seq_no} needed), returning the + * leaf and doc id, or null if not found. The returned {@link DocIdAndSeqNo} has + * {@code seqNo = }{@link SequenceNumbers#UNASSIGNED_SEQ_NO} — use only {@code docId} and {@code context}. + */ + public static DocIdAndSeqNo loadDocId(IndexReader reader, Term term) throws IOException { + final PerThreadIDVersionAndSeqNoLookup[] lookups = getLookupState( + reader, + term.field(), + PerThreadIDVersionAndSeqNoLookup.LookupMode.DOC_ID_ONLY + ); + final List leaves = reader.leaves(); + // iterate backwards to optimize for the frequently updated documents + // which are likely to be in the last segments + for (int i = leaves.size() - 1; i >= 0; i--) { + final LeafReaderContext leaf = leaves.get(i); + final int docId = lookups[leaf.ord].getDocID(term.bytes(), leaf); + if (docId != DocIdSetIterator.NO_MORE_DOCS) { + return new DocIdAndSeqNo(docId, SequenceNumbers.UNASSIGNED_SEQ_NO, leaf); + } + } + return null; + } } diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index d70f3f96940a9..5e00cbf561e34 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -14,6 +14,7 @@ import org.apache.lucene.index.Term; import org.apache.lucene.search.ReferenceManager; import org.apache.lucene.store.AlreadyClosedException; +import org.apache.lucene.util.BytesRef; import org.opensearch.common.Booleans; import org.opensearch.common.Nullable; import org.opensearch.common.SetOnce; @@ -23,6 +24,8 @@ import org.opensearch.common.lease.Releasable; import org.opensearch.common.logging.Loggers; import org.opensearch.common.lucene.Lucene; +import org.opensearch.common.lucene.uid.Versions; +import org.opensearch.common.metrics.CounterMetric; import org.opensearch.common.queue.DefaultLockableHolder; import org.opensearch.common.queue.LockablePool; import org.opensearch.common.unit.TimeValue; @@ -55,6 +58,8 @@ import org.opensearch.index.engine.dataformat.merge.OneMerge; import org.opensearch.index.engine.exec.CatalogSnapshotLifecycleListener; import org.opensearch.index.engine.exec.CombinedCatalogSnapshotDeletionPolicy; +import org.opensearch.index.engine.exec.DocumentLookupSupport; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.index.engine.exec.FileDeleter; import org.opensearch.index.engine.exec.FilesListener; @@ -68,6 +73,7 @@ import org.opensearch.index.engine.exec.coord.CatalogSnapshot; import org.opensearch.index.engine.exec.coord.CatalogSnapshotManager; import org.opensearch.index.engine.exec.coord.DataformatAwareCatalogSnapshot; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.mapper.DocumentMapperForType; import org.opensearch.index.mapper.IdFieldMapper; import org.opensearch.index.mapper.ParsedDocument; @@ -91,6 +97,7 @@ import org.opensearch.index.translog.TranslogOperationHelper; import org.opensearch.index.translog.listener.TranslogEventListener; import org.opensearch.indices.pollingingest.PollingIngestStats; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.search.suggest.completion.CompletionStats; import java.io.Closeable; @@ -165,10 +172,19 @@ public class DataFormatAwareEngine implements Indexer { private final LocalCheckpointTracker localCheckpointTracker; private final AtomicLong maxSeqNoOfUpdatesOrDeletes; + // Wall-clock time (ms) of the last version-map delete-tombstone prune; used to throttle maybePruneDeletes(). + protected volatile long lastDeleteVersionPruneTimeMSec; + // Throttling private final IndexingThrottler throttle; private final AtomicInteger throttleRequestCount = new AtomicInteger(); + @Nullable + private final DocumentLookupProvider documentLookupProvider; + private final DocumentMetadataResolver documentMetadataResolver; + // Shared get-by-id flow (parquet lookup + read version-conflict checks), common to all DataFormatAware* engines. + private final DocumentLookupSupport documentLookup; + // Timestamps and seq-no markers private final AtomicLong maxUnsafeAutoIdTimestamp = new AtomicLong(-1); private final AtomicLong maxSeenAutoIdTimestamp = new AtomicLong(-1); @@ -221,6 +237,9 @@ public class DataFormatAwareEngine implements Indexer { // Latch for the current refresh cycle — decremented by any thread that flushes a writer. // Refresh thread awaits this before proceeding with catalog commit. private volatile CountDownLatch activeFlushLatch; + private final LiveVersionMap versionMap; + private final CounterMetric numVersionLookups = new CounterMetric(); + private final CounterMetric numIndexVersionsLookups = new CounterMetric(); /** * System property to enable or disable pluggable dataformat merge operations. @@ -260,8 +279,15 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { this.shardId = engineConfig.getShardId(); this.store = engineConfig.getStore(); this.throttle = new IndexingThrottler(); + this.documentLookupProvider = engineConfig.getDocumentLookupProvider(); + this.documentMetadataResolver = engineConfig.getDocumentMetadataResolver() != null + ? engineConfig.getDocumentMetadataResolver() + : DocumentMetadataResolver.NOOP; + this.documentLookup = new DocumentLookupSupport(shardId, this.documentLookupProvider, this.documentMetadataResolver); + this.versionMap = new LiveVersionMap(); List refreshListeners = new ArrayList<>(); + refreshListeners.add(versionMap); if (engineConfig.getInternalRefreshListener() != null) { refreshListeners.addAll(engineConfig.getInternalRefreshListener()); } @@ -315,6 +341,7 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { // 4. Initialize local checkpoint tracker this.localCheckpointTracker = createLocalCheckpointTracker(LocalCheckpointTracker::new); + this.lastDeleteVersionPruneTimeMSec = engineConfig.getThreadPool().relativeTimeInMillis(); maxSeqNoOfUpdatesOrDeletes = new AtomicLong( SequenceNumbers.max(localCheckpointTracker.getMaxSeqNo(), translogManager.getMaxSeqNo()) ); @@ -419,13 +446,13 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { this.indexingStrategyPlanner = new IndexingStrategyPlanner( engineConfig.getIndexSettings(), engineConfig.getShardId(), - new LiveVersionMap(), + this.versionMap, maxUnsafeAutoIdTimestamp::get, () -> 0L, localCheckpointTracker::getProcessedCheckpoint, this::hasBeenProcessedBefore, op -> OpVsEngineDocStatus.OP_NEWER, - (a, b) -> null, + this::resolveDocVersion, this::updateAutoIdTimestamp, documentCountTracker::tryAcquireInFlightDocs ); @@ -455,6 +482,12 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { return gen; } ); + + // Restore version map and checkpoint tracker after crash recovery. + if (localCheckpointTracker.getPersistedCheckpoint() < localCheckpointTracker.getMaxSeqNo()) { + restoreVersionMapAndCheckpointTracker(); + } + // Merge failure cleanup: cleans up unreferenced files and acts as a safety net // for refreshLock. The preMergeCommitHook acquires refreshLock on the merge thread; // if the merge fails before applyMergeChanges can release it, this callback ensures @@ -586,9 +619,12 @@ public Engine.IndexResult index(Engine.Index index) throws IOException { : "DataFormatAwareEngine only supports PRIMARY, LOCAL_TRANSLOG_RECOVERY, or LOCAL_RESET origins but got: " + index.origin(); final boolean doThrottle = index.origin().isRecovery() == false; int rows = 0; - try (ReleasableLock ignored = readLock.acquire()) { + try (ReleasableLock releasableLock = readLock.acquire()) { ensureOpen(); - try (Releasable indexThrottle = doThrottle ? throttle.acquireThrottle() : () -> {}) { + try ( + Releasable ignored = versionMap.acquireLock(index.uid().bytes()); + Releasable indexThrottle = doThrottle ? throttle.acquireThrottle() : () -> {} + ) { lastWriteNanos = index.startTime(); final IndexingStrategy plan; if (index.origin() == Engine.Operation.Origin.PRIMARY) { @@ -725,6 +761,10 @@ private Engine.IndexResult indexIntoEngine(Engine.Index index, IndexingStrategy final Translog.Location location; if (indexResult.getResultType() == Engine.Result.Type.SUCCESS) { location = translogManager.add(new Translog.Index(index, indexResult)); + versionMap.maybePutIndexUnderLock( + index.uid().bytes(), + new IndexVersionValue(location, indexResult.getVersion(), index.seqNo(), index.primaryTerm()) + ); } else if (indexResult.getSeqNo() != UNASSIGNED_SEQ_NO && indexResult.getFailure() != null && !(indexResult.getFailure() instanceof AppendOnlyIndexOperationRetryException)) { @@ -1061,10 +1101,12 @@ public void refresh(String source) throws EngineException { } if (refreshed) { lastRefreshedCheckpointListener.updateRefreshedCheckpoint(localCheckpointBeforeRefresh); + maybePruneDeletes(); triggerPossibleMerges(); // trigger merges } } } finally { + versionMap.afterRefresh(refreshed); IOUtils.close(toClose); refreshLock.unlock(); } @@ -1207,6 +1249,10 @@ public void flush(boolean force, boolean waitIfOngoing) throws EngineException { flushLock.unlock(); } } + + if (engineConfig.isEnableGcDeletes()) { + pruneDeletedTombstones(); + } } /** Flushes the engine with default parameters (non-forced, wait if ongoing). */ @@ -1326,6 +1372,7 @@ public boolean isThrottled() { */ @Override public void onSettingsChanged(TimeValue translogRetentionAge, ByteSizeValue translogRetentionSize, long softDeletesRetentionOps) { + maybePruneDeletes(); if (engineConfig.isAutoGeneratedIDsOptimizationEnabled() == false) { updateAutoIdTimestamp(Long.MAX_VALUE, true); } @@ -1448,7 +1495,24 @@ public boolean maybeRefresh(String source) { /** No-op — data-format engines do not maintain Lucene-style delete tombstones. */ @Override public void maybePruneDeletes() { - // No-op: data-format engines do not maintain Lucene-style delete tombstones + // Pruning walks the deletes map taking a per-uid lock, so it is throttled to once per 1/4 of gcDeletes, + // mirroring InternalEngine. The version map carries delete tombstones used by the get-by-id/version path. + if (engineConfig.isEnableGcDeletes() + && engineConfig.getThreadPool().relativeTimeInMillis() - lastDeleteVersionPruneTimeMSec > getGcDeletesInMillis() * 0.25) { + pruneDeletedTombstones(); + } + } + + /** + * Prunes delete tombstones from the version map: those older than one GC-delete cycle whose sequence number + * is at most the processed checkpoint (the single trimming strategy used by {@code InternalEngine}, correct + * on both primary and replica). Updates {@link #lastDeleteVersionPruneTimeMSec}. + */ + protected void pruneDeletedTombstones() { + final long timeMSec = engineConfig.getThreadPool().relativeTimeInMillis(); + final long maxTimestampToPrune = timeMSec - engineConfig.getIndexSettings().getGcDeletesInMillis(); + versionMap.pruneTombstones(maxTimestampToPrune, localCheckpointTracker.getProcessedCheckpoint()); + lastDeleteVersionPruneTimeMSec = timeMSec; } /** @@ -1493,7 +1557,7 @@ public long getMaxSeqNoOfUpdatesOrDeletes() { @Override public void advanceMaxSeqNoOfUpdatesOrDeletes(long maxSeqNoOfUpdatesOnPrimary) { - throw new UnsupportedOperationException("updates/deletes not supported"); + this.maxSeqNoOfUpdatesOrDeletes.updateAndGet(curr -> Math.max(curr, maxSeqNoOfUpdatesOnPrimary)); } @Override @@ -1868,6 +1932,78 @@ public byte[] serializeSnapshotToRemoteMetadata(CatalogSnapshot catalogSnapshot) return catalogSnapshotManager.serializeToCommitFormat(catalogSnapshot); } + /** + * Delegates get-by-id to the installed {@link DocumentLookupProvider}, acquiring a + * per-format reader on the current snapshot and passing it to the plugin. + * Throws {@link UnsupportedOperationException} if no plugin is wired. + */ + @Override + public Engine.GetResult getById(Engine.Get get, BiFunction searcherFactory) + throws IOException { + if (documentLookup.isSupported() == false) { + throw new UnsupportedOperationException("getById not supported: no DocumentLookupProvider installed"); + } + try (ReleasableLock ignored = readLock.acquire()) { + ensureOpen(); + if (get.realtime()) { + VersionValue versionValue; + try (Releasable ignore = versionMap.acquireLock(get.uid().bytes())) { + versionValue = getVersionFromMap(get.uid().bytes()); + } + if (versionValue != null) { + if (versionValue.isDelete()) { + return Engine.GetResult.NOT_EXISTS; + } + if (get.versionType().isVersionConflictForReads(versionValue.version, get.version())) { + throw new VersionConflictEngineException( + shardId, + get.id(), + get.versionType().explainConflictForReads(versionValue.version, get.version()) + ); + } + if (get.getIfSeqNo() != SequenceNumbers.UNASSIGNED_SEQ_NO + && (get.getIfSeqNo() != versionValue.seqNo || get.getIfPrimaryTerm() != versionValue.term)) { + throw new VersionConflictEngineException( + shardId, + get.id(), + get.getIfSeqNo(), + get.getIfPrimaryTerm(), + versionValue.seqNo, + versionValue.term + ); + } + if (get.isReadFromTranslog() && versionValue.getLocation() != null) { + try { + Translog.Operation operation = translogManager.readOperation(versionValue.getLocation()); + if (operation != null) { + Translog.Index index = (Translog.Index) operation; + return new DocumentLookupResult( + get.id(), + index.version(), + true, + index.source(), + index.seqNo(), + index.primaryTerm(), + Map.of(), + Map.of() + ).toGetResult(); + } + } catch (IOException e) { + throw new EngineException(shardId, "failed to read operation from translog", e); + } + } + assert versionValue.seqNo >= 0 : versionValue; + } + } + + // Fall through: read from parquet + try (GatedCloseable readerRef = acquireReader()) { + DocumentLookupResult result = documentLookup.lookupFromReader(get, readerRef.get()); + return result.exists() ? result.toGetResult() : Engine.GetResult.NOT_EXISTS; + } + } // readLock + } + /** * DFA callers MUST use {@link #acquireSafeCatalogSnapshot()} — that API avoids the extra * {@code segments_N} disk read required to materialize a Lucene {@link IndexCommit}, and @@ -1995,6 +2131,7 @@ private void closeNoLock(String reason) { assert rwl.isWriteLockedByCurrentThread() || failEngineLock.isHeldByCurrentThread() : "Either the write lock must be held or the engine must be currently failing"; try { + this.versionMap.clear(); // Discard any pending segments not yet picked up by refresh pendingSegments.clear(); // Close any writers queued for deferred close (their files won't reach the catalog) @@ -2045,6 +2182,126 @@ private void closeReaders() throws IOException { } } + protected VersionValue resolveDocVersion(final Engine.Operation op, boolean loadSeqNo) throws IOException { + assert incrementVersionLookup(); + VersionValue versionValue = getVersionFromMap(op.uid().bytes()); + if (versionValue == null) { + if (documentLookupProvider == null) { + return null; + } + assert incrementIndexVersionLookup(); + DocumentLookupResult lookupResult; + try (GatedCloseable readerRef = acquireReader()) { + Reader reader = readerRef.get(); + if (reader.catalogSnapshot().getSegments().isEmpty()) { + return null; + } + lookupResult = documentLookupProvider.getVersionMetadata(op.id(), reader, shardId.getIndex(), documentMetadataResolver); + } + if (lookupResult.version() != Versions.NOT_FOUND) { + versionValue = new IndexVersionValue(null, lookupResult.version(), lookupResult.seqNo(), lookupResult.primaryTerm()); + } + } else { + if (engineConfig.isEnableGcDeletes() + && versionValue.isDelete() + && (engineConfig.getThreadPool().relativeTimeInMillis() + - ((DeleteVersionValue) versionValue).time) > getGcDeletesInMillis()) { + versionValue = null; + } + } + return versionValue; + } + + long getGcDeletesInMillis() { + return engineConfig.getIndexSettings().getGcDeletesInMillis(); + } + + private boolean incrementVersionLookup() { // only used by asserts + numVersionLookups.inc(); + return true; + } + + private boolean incrementIndexVersionLookup() { + numIndexVersionsLookups.inc(); + return true; + } + + private static OpVsEngineDocStatus compareOpToVersionMapOnSeqNo(String id, long seqNo, long primaryTerm, VersionValue versionValue) { + Objects.requireNonNull(versionValue); + if (seqNo > versionValue.seqNo) { + return OpVsEngineDocStatus.OP_NEWER; + } else if (seqNo == versionValue.seqNo) { + assert versionValue.term == primaryTerm : "primary term not matched; id=" + + id + + " seq_no=" + + seqNo + + " op_term=" + + primaryTerm + + " existing_term=" + + versionValue.term; + return OpVsEngineDocStatus.OP_STALE_OR_EQUAL; + } else { + return OpVsEngineDocStatus.OP_STALE_OR_EQUAL; + } + } + + private void restoreVersionMapAndCheckpointTracker() { + try { + final long persistedCheckpoint = localCheckpointTracker.getPersistedCheckpoint(); + if (documentLookupProvider != null) { + try (GatedCloseable readerRef = acquireReader()) { + List docs = documentLookupProvider.getDocsAboveSeqNo( + persistedCheckpoint, + readerRef.get(), + shardId.getIndex(), + documentMetadataResolver + ); + for (DocumentLookupResult doc : docs) { + localCheckpointTracker.markSeqNoAsProcessed(doc.seqNo()); + localCheckpointTracker.markSeqNoAsPersisted(doc.seqNo()); + final BytesRef uid = new Term(IdFieldMapper.NAME, Uid.encodeId(doc.id())).bytes(); + try (Releasable ignored = versionMap.acquireLock(uid)) { + final VersionValue curr = versionMap.getUnderLock(uid); + if (curr == null + || compareOpToVersionMapOnSeqNo( + doc.id(), + doc.seqNo(), + doc.primaryTerm(), + curr + ) == OpVsEngineDocStatus.OP_NEWER) { + versionMap.putIndexUnderLock( + uid, + new IndexVersionValue(null, doc.version(), doc.seqNo(), doc.primaryTerm()) + ); + } + } + } + } + } + } catch (IOException e) { + throw new EngineCreationFailureException( + config().getShardId(), + "failed to restore version map and local checkpoint tracker", + e + ); + } + } + + private VersionValue getVersionFromMap(BytesRef id) { + if (versionMap.isUnsafe()) { + synchronized (versionMap) { + // we are switching from an unsafe map to a safe map. This might happen concurrently + // but we only need to do this once since the last operation per ID is to add to the version + // map so once we pass this point we can safely lookup from the version map. + if (versionMap.isUnsafe()) { + refresh("unsafe_version_map"); + } + versionMap.enforceSafeAccess(); + } + } + return versionMap.getUnderLock(id); + } + private void awaitPendingClose() { try { closedLatch.await(); diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareNRTReplicationEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareNRTReplicationEngine.java index bcc62279dcc32..8fd3060ef7393 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareNRTReplicationEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareNRTReplicationEngine.java @@ -35,6 +35,8 @@ import org.opensearch.index.engine.exec.CatalogSnapshotDeletionPolicy; import org.opensearch.index.engine.exec.CatalogSnapshotLifecycleListener; import org.opensearch.index.engine.exec.CommitFileManager; +import org.opensearch.index.engine.exec.DocumentLookupSupport; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.index.engine.exec.FileDeleter; import org.opensearch.index.engine.exec.Indexer; @@ -45,6 +47,7 @@ import org.opensearch.index.engine.exec.commit.IndexStoreProvider; import org.opensearch.index.engine.exec.coord.CatalogSnapshot; import org.opensearch.index.engine.exec.coord.CatalogSnapshotManager; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.mapper.DocumentMapperForType; import org.opensearch.index.mapper.IdFieldMapper; import org.opensearch.index.mapper.ParsedDocument; @@ -65,6 +68,7 @@ import org.opensearch.index.translog.TranslogOperationHelper; import org.opensearch.index.translog.WriteOnlyTranslogManager; import org.opensearch.indices.pollingingest.PollingIngestStats; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.search.suggest.completion.CompletionStats; import java.io.Closeable; @@ -89,6 +93,7 @@ import java.util.concurrent.locks.Lock; import java.util.concurrent.locks.ReentrantLock; import java.util.concurrent.locks.ReentrantReadWriteLock; +import java.util.function.BiFunction; import java.util.function.Supplier; /** @@ -120,6 +125,7 @@ public class DataFormatAwareNRTReplicationEngine implements Indexer { private final CatalogSnapshotManager catalogSnapshotManager; private final Committer committer; private final CatalogSnapshotStatsCache statsCache; + private final DocumentLookupSupport documentLookup; private volatile long lastWriteNanos = System.nanoTime(); private final ReentrantReadWriteLock rwl = new ReentrantReadWriteLock(); private final ReleasableLock readLock = new ReleasableLock(rwl.readLock()); @@ -136,6 +142,10 @@ public DataFormatAwareNRTReplicationEngine(EngineConfig engineConfig) { this.engineConfig = engineConfig; this.shardId = engineConfig.getShardId(); this.store = engineConfig.getStore(); + DocumentMetadataResolver resolver = engineConfig.getDocumentMetadataResolver() != null + ? engineConfig.getDocumentMetadataResolver() + : DocumentMetadataResolver.NOOP; + this.documentLookup = new DocumentLookupSupport(shardId, engineConfig.getDocumentLookupProvider(), resolver); store.incRef(); Map> readerManagersRef = null; @@ -397,6 +407,23 @@ public GatedCloseable acquireReader() throws IOException { } } + /** + * Resolves {@code get} against the replicated segment snapshot via the installed + * {@link DocumentLookupProvider}, with read-time version-conflict checks. No live version map, + * so reads go straight to the snapshot. + */ + @Override + public Engine.GetResult getById(Engine.Get get, BiFunction searcherFactory) + throws IOException { + try (ReleasableLock ignored = readLock.acquire()) { + ensureOpen(); + try (GatedCloseable readerRef = acquireReader()) { + DocumentLookupResult result = documentLookup.getById(get, readerRef.get()); + return result.exists() ? result.toGetResult() : Engine.GetResult.NOT_EXISTS; + } + } + } + @Override public boolean refreshNeeded() { return false; diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java index f5568a1c7f229..2fac2d217c73a 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java @@ -31,6 +31,8 @@ import org.opensearch.index.engine.dataformat.ReaderManagerConfig; import org.opensearch.index.engine.exec.CatalogSnapshotDeletionPolicy; import org.opensearch.index.engine.exec.CatalogSnapshotLifecycleListener; +import org.opensearch.index.engine.exec.DocumentLookupSupport; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.index.engine.exec.FileDeleter; import org.opensearch.index.engine.exec.Indexer; @@ -39,6 +41,7 @@ import org.opensearch.index.engine.exec.commit.IndexStoreProvider; import org.opensearch.index.engine.exec.coord.CatalogSnapshot; import org.opensearch.index.engine.exec.coord.CatalogSnapshotManager; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.mapper.DocumentMapperForType; import org.opensearch.index.mapper.SourceToParse; import org.opensearch.index.merge.MergeStats; @@ -52,6 +55,7 @@ import org.opensearch.index.translog.TranslogManager; import org.opensearch.index.translog.TranslogStats; import org.opensearch.indices.pollingingest.PollingIngestStats; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.search.suggest.completion.CompletionStats; import java.io.Closeable; @@ -68,6 +72,7 @@ import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.locks.ReentrantLock; import java.util.concurrent.locks.ReentrantReadWriteLock; +import java.util.function.BiFunction; import java.util.function.Supplier; /** @@ -119,12 +124,25 @@ public class DataFormatAwareReadOnlyEngine implements Indexer { // Stats cache — populated once at construction (snapshot is permanent for this engine). private final CatalogSnapshotStatsCache statsCache; + private final DocumentLookupSupport documentLookup; + public DataFormatAwareReadOnlyEngine(EngineConfig engineConfig) { + this(engineConfig, null); + } + + public DataFormatAwareReadOnlyEngine(EngineConfig engineConfig, @Nullable DocumentLookupProvider documentLookupProvider) { this.logger = Loggers.getLogger(DataFormatAwareReadOnlyEngine.class, engineConfig.getShardId()); assert engineConfig.isReadOnlyReplica() == false : "DataFormatAwareReadOnlyEngine must only be created for primary shards; shard " + engineConfig.getShardId(); this.engineConfig = engineConfig; this.shardId = engineConfig.getShardId(); + DocumentLookupProvider provider = documentLookupProvider != null + ? documentLookupProvider + : engineConfig.getDocumentLookupProvider(); + DocumentMetadataResolver resolver = engineConfig.getDocumentMetadataResolver() != null + ? engineConfig.getDocumentMetadataResolver() + : DocumentMetadataResolver.NOOP; + this.documentLookup = new DocumentLookupSupport(shardId, provider, resolver); this.store = engineConfig.getStore(); store.incRef(); @@ -305,6 +323,13 @@ public Engine.NoOpResult noOp(Engine.NoOp noOp) throws IOException { throw new UnsupportedOperationException("DataFormatAwareReadOnlyEngine does not support no-ops"); } + @Override + public Engine.GetResult getById(Engine.Get get, BiFunction searcherFactory) + throws IOException { + DocumentLookupResult result = documentLookup.getById(get, reader); + return result.exists() ? result.toGetResult() : Engine.GetResult.NOT_EXISTS; + } + @Override public Engine.Index prepareIndex( DocumentMapperForType docMapper, diff --git a/server/src/main/java/org/opensearch/index/engine/EngineBackedIndexer.java b/server/src/main/java/org/opensearch/index/engine/EngineBackedIndexer.java index b968a7b6db098..e49a6177638ee 100644 --- a/server/src/main/java/org/opensearch/index/engine/EngineBackedIndexer.java +++ b/server/src/main/java/org/opensearch/index/engine/EngineBackedIndexer.java @@ -32,6 +32,7 @@ import java.io.Closeable; import java.io.IOException; import java.util.List; +import java.util.function.BiFunction; /** * An indexer implementation that uses an engine to perform indexing operations. @@ -468,4 +469,11 @@ public GatedCloseable acquireReader() throws IOException { public Engine getEngine() { return engine; } + + /** Engine-backed get-by-id: delegates to {@link Engine#get(Engine.Get, BiFunction)} with {@code searcherFactory}. */ + @Override + public Engine.GetResult getById(Engine.Get get, BiFunction searcherFactory) + throws IOException { + return engine.get(get, searcherFactory); + } } diff --git a/server/src/main/java/org/opensearch/index/engine/EngineConfig.java b/server/src/main/java/org/opensearch/index/engine/EngineConfig.java index 78e319bfafc3b..2ba5a881c31cb 100644 --- a/server/src/main/java/org/opensearch/index/engine/EngineConfig.java +++ b/server/src/main/java/org/opensearch/index/engine/EngineConfig.java @@ -56,6 +56,7 @@ import org.opensearch.index.codec.CodecService; import org.opensearch.index.codec.CodecSettings; import org.opensearch.index.engine.dataformat.DataFormatRegistry; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.commit.CommitterFactory; import org.opensearch.index.mapper.DocumentMapperForType; import org.opensearch.index.mapper.MapperService; @@ -69,6 +70,7 @@ import org.opensearch.index.translog.TranslogDeletionPolicyFactory; import org.opensearch.index.translog.TranslogFactory; import org.opensearch.indices.IndexingMemoryController; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.threadpool.ThreadPool; import java.util.Collections; @@ -127,6 +129,10 @@ public final class EngineConfig { private final MapperService mapperService; private final CommitterFactory committerFactory; private final Map checksumStrategies; + @Nullable + private final DocumentLookupProvider documentLookupProvider; + @Nullable + private final DocumentMetadataResolver documentMetadataResolver; /** * A supplier of the outstanding retention leases. This is used during merged operations to determine which operations that have been @@ -321,6 +327,8 @@ private EngineConfig(Builder builder) { this.mapperService = builder.mapperService; this.committerFactory = builder.committerFactory; this.checksumStrategies = builder.checksumStrategies; + this.documentLookupProvider = builder.documentLookupProvider; + this.documentMetadataResolver = builder.documentMetadataResolver; } /** @@ -369,7 +377,9 @@ public Builder toBuilder() { .documentMapperForTypeSupplier(this.documentMapperForTypeSupplier) .indexReaderWarmer(this.indexReaderWarmer) .clusterApplierService(this.clusterApplierService) - .mergedSegmentTransferTracker(this.mergedSegmentTransferTracker); + .mergedSegmentTransferTracker(this.mergedSegmentTransferTracker) + .documentLookupProvider(this.documentLookupProvider) + .documentMetadataResolver(this.documentMetadataResolver); } /** @@ -664,6 +674,18 @@ public Map getChecksumStrategies() { return this.checksumStrategies; } + /** Optional {@link DocumentLookupProvider} for the pluggable get-by-id path, or {@code null}. */ + @Nullable + public DocumentLookupProvider getDocumentLookupProvider() { + return this.documentLookupProvider; + } + + /** Optional {@link DocumentMetadataResolver} passed per-call to the provider, or {@code null}. */ + @Nullable + public DocumentMetadataResolver getDocumentMetadataResolver() { + return this.documentMetadataResolver; + } + /** * Builder for EngineConfig class * @@ -706,6 +728,10 @@ public static class Builder { private MapperService mapperService; private CommitterFactory committerFactory; private Map checksumStrategies = Collections.emptyMap(); + @Nullable + private DocumentLookupProvider documentLookupProvider; + @Nullable + private DocumentMetadataResolver documentMetadataResolver; public Builder shardId(ShardId shardId) { this.shardId = shardId; @@ -882,6 +908,16 @@ public Builder checksumStrategies(Map checksumSt return this; } + public Builder documentLookupProvider(@Nullable DocumentLookupProvider documentLookupProvider) { + this.documentLookupProvider = documentLookupProvider; + return this; + } + + public Builder documentMetadataResolver(@Nullable DocumentMetadataResolver documentMetadataResolver) { + this.documentMetadataResolver = documentMetadataResolver; + return this; + } + public EngineConfig build() { return new EngineConfig(this); } diff --git a/server/src/main/java/org/opensearch/index/engine/EngineConfigFactory.java b/server/src/main/java/org/opensearch/index/engine/EngineConfigFactory.java index b9d5be2ed5f2c..e9e0501f55186 100644 --- a/server/src/main/java/org/opensearch/index/engine/EngineConfigFactory.java +++ b/server/src/main/java/org/opensearch/index/engine/EngineConfigFactory.java @@ -29,6 +29,7 @@ import org.opensearch.index.codec.CodecServiceConfig; import org.opensearch.index.codec.CodecServiceFactory; import org.opensearch.index.engine.dataformat.DataFormatRegistry; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.commit.CommitterFactory; import org.opensearch.index.mapper.DocumentMapperForType; import org.opensearch.index.mapper.MapperService; @@ -39,6 +40,7 @@ import org.opensearch.index.translog.TranslogConfig; import org.opensearch.index.translog.TranslogDeletionPolicyFactory; import org.opensearch.index.translog.TranslogFactory; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.plugins.EnginePlugin; import org.opensearch.plugins.PluginsService; import org.opensearch.threadpool.ThreadPool; @@ -64,6 +66,10 @@ public class EngineConfigFactory { private final TranslogDeletionPolicyFactory translogDeletionPolicyFactory; private final List additionalCodecs; private final CommitterFactory committerFactory; + @Nullable + private final DocumentLookupProvider documentLookupProvider; + @Nullable + private final DocumentMetadataResolver documentMetadataResolver; /** default ctor primarily used for tests without plugins */ public EngineConfigFactory(IndexSettings idxSettings) { @@ -77,8 +83,31 @@ public EngineConfigFactory(PluginsService pluginsService, IndexSettings idxSetti this(pluginsService.filterPlugins(EnginePlugin.class), idxSettings); } - /* private constructor to construct the factory from specific EnginePlugins and IndexSettings */ + /** + * Factory wiring the optional {@link DocumentLookupProvider} and {@link DocumentMetadataResolver} + * (pluggable get-by-id path) into the produced {@link EngineConfig}. + */ + public EngineConfigFactory( + PluginsService pluginsService, + IndexSettings idxSettings, + @Nullable DocumentLookupProvider documentLookupProvider, + @Nullable DocumentMetadataResolver documentMetadataResolver + ) { + this(pluginsService.filterPlugins(EnginePlugin.class), idxSettings, documentLookupProvider, documentMetadataResolver); + } + + /* package-private constructor from specific EnginePlugins and IndexSettings without document-lookup wiring */ EngineConfigFactory(Collection enginePlugins, IndexSettings idxSettings) { + this(enginePlugins, idxSettings, null, null); + } + + /* private constructor to construct the factory from specific EnginePlugins and IndexSettings */ + EngineConfigFactory( + Collection enginePlugins, + IndexSettings idxSettings, + @Nullable DocumentLookupProvider documentLookupProvider, + @Nullable DocumentMetadataResolver documentMetadataResolver + ) { final List codecRegistries = new ArrayList<>(); Optional codecService = Optional.empty(); String codecServiceOverridingPlugin = null; @@ -149,6 +178,8 @@ public EngineConfigFactory(PluginsService pluginsService, IndexSettings idxSetti this.translogDeletionPolicyFactory = translogDeletionPolicyFactory.orElse((idxs, rtls) -> null); this.additionalCodecs = Collections.unmodifiableList(codecRegistries); this.committerFactory = committerFactories.isEmpty() ? null : committerFactories.getFirst(); + this.documentLookupProvider = documentLookupProvider; + this.documentMetadataResolver = documentMetadataResolver; } /** @@ -229,6 +260,8 @@ public EngineConfig newEngineConfig( .mapperService(mapperService) .committerFactory(committerFactory) .checksumStrategies(checksumStrategies) + .documentLookupProvider(documentLookupProvider) + .documentMetadataResolver(documentMetadataResolver) .build(); } diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/DataFormatRegistry.java b/server/src/main/java/org/opensearch/index/engine/dataformat/DataFormatRegistry.java index 527bd3e6ffef2..e3b73d751cf3f 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/DataFormatRegistry.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/DataFormatRegistry.java @@ -13,10 +13,12 @@ import org.opensearch.common.CheckedFunction; import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.index.IndexSettings; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.index.engine.exec.commit.Committer; import org.opensearch.index.mapper.MappedFieldType; import org.opensearch.index.store.FormatChecksumStrategy; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.plugins.PluginsService; import org.opensearch.plugins.SearchBackEndPlugin; @@ -48,6 +50,12 @@ public class DataFormatRegistry { private final Map dataFormats; + /** The single registered document lookup provider (engine-backed get-by-id execution), or {@code null} if none. */ + private final DocumentLookupProvider documentLookupProvider; + + /** The single registered document metadata resolver (id-to-row-location), or {@link DocumentMetadataResolver#NOOP} if none. */ + private final DocumentMetadataResolver documentMetadataResolver; + private static final Logger logger = LogManager.getLogger(DataFormatRegistry.class); /** @@ -84,6 +92,38 @@ public DataFormatRegistry(PluginsService pluginsService) { this.dataFormatPluginRegistry = Map.copyOf(dataFormatPlugiRegistry); this.dataFormats = Map.copyOf(dataFormats); this.readerManagerBuilders = Map.copyOf(readerManagerBuilders); + + List lookupProviders = pluginsService.filterPlugins(DocumentLookupProvider.class); + if (lookupProviders.size() > 1) { + throw new IllegalStateException("multiple DocumentLookupProvider implementations registered: " + lookupProviders); + } + this.documentLookupProvider = lookupProviders.isEmpty() ? null : lookupProviders.getFirst(); + + List resolvers = pluginsService.filterPlugins(DocumentMetadataResolver.class); + if (resolvers.size() > 1) { + throw new IllegalStateException("multiple DocumentMetadataResolver implementations registered: " + resolvers); + } + this.documentMetadataResolver = resolvers.isEmpty() ? DocumentMetadataResolver.NOOP : resolvers.getFirst(); + } + + /** + * Returns the single registered {@link DocumentLookupProvider} that backs the engine's + * get-by-id / version-resolution path, or {@code null} when no provider is registered. + * + * @return the document lookup provider, or null + */ + public DocumentLookupProvider getDocumentLookupProvider() { + return documentLookupProvider; + } + + /** + * Returns the single registered {@link DocumentMetadataResolver} that maps an {@code _id} + * to its row location, or {@link DocumentMetadataResolver#NOOP} when none is registered. + * + * @return the document metadata resolver (never null) + */ + public DocumentMetadataResolver getDocumentMetadataResolver() { + return documentMetadataResolver; } /** diff --git a/server/src/main/java/org/opensearch/index/engine/exec/DocumentLookupSupport.java b/server/src/main/java/org/opensearch/index/engine/exec/DocumentLookupSupport.java new file mode 100644 index 0000000000000..101bf7256ad76 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/engine/exec/DocumentLookupSupport.java @@ -0,0 +1,103 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.engine.exec; + +import org.opensearch.common.Nullable; +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.engine.Engine; +import org.opensearch.index.engine.VersionConflictEngineException; +import org.opensearch.index.get.DocumentLookupResult; +import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.plugins.DocumentLookupProvider; + +import java.io.IOException; + +/** + * Shared get-by-id helper for the {@code DataFormatAware*} engines. Centralizes the pluggable lookup + * (via the installed {@link DocumentLookupProvider}) and the read-time version-conflict checks so + * the engines don't duplicate them. Immutable and thread-safe; one per shard. + * + * @opensearch.internal + */ +public final class DocumentLookupSupport { + + private final ShardId shardId; + @Nullable + private final DocumentLookupProvider provider; + private final DocumentMetadataResolver resolver; + + public DocumentLookupSupport(ShardId shardId, @Nullable DocumentLookupProvider provider, DocumentMetadataResolver resolver) { + this.shardId = shardId; + this.provider = provider; + this.resolver = resolver; + } + + /** Whether a {@link DocumentLookupProvider} is installed (i.e. get-by-id is supported). */ + public boolean isSupported() { + return provider != null; + } + + /** + * Resolves {@code get} against {@code reader} through the installed provider. + * Returns {@link DocumentLookupResult#notFound} when the reader snapshot has no segments. + * + * @throws UnsupportedOperationException if no {@link DocumentLookupProvider} is installed + */ + public DocumentLookupResult lookupFromReader(Engine.Get get, IndexReaderProvider.Reader reader) throws IOException { + if (provider == null) { + throw new UnsupportedOperationException("getById not supported: no DocumentLookupProvider installed"); + } + if (reader.catalogSnapshot().getSegments().isEmpty()) { + return DocumentLookupResult.notFound(get.id()); + } + return provider.getById(get, reader, shardId.getIndex(), resolver); + } + + /** + * Applies read-time version-conflict checks against a resolved {@code result}, mirroring the + * get semantics in {@code InternalEngine}. A no-op when the document does not exist. + * + * @throws VersionConflictEngineException if the requested version or {@code if_seq_no} / + * {@code if_primary_term} preconditions conflict with the resolved document + */ + public void applyReadVersionConflicts(Engine.Get get, DocumentLookupResult result) { + if (result.exists() == false) { + return; + } + if (get.versionType().isVersionConflictForReads(result.version(), get.version())) { + throw new VersionConflictEngineException( + shardId, + get.id(), + get.versionType().explainConflictForReads(result.version(), get.version()) + ); + } + if (get.getIfSeqNo() != SequenceNumbers.UNASSIGNED_SEQ_NO + && (get.getIfSeqNo() != result.seqNo() || get.getIfPrimaryTerm() != result.primaryTerm())) { + throw new VersionConflictEngineException( + shardId, + get.id(), + get.getIfSeqNo(), + get.getIfPrimaryTerm(), + result.seqNo(), + result.primaryTerm() + ); + } + } + + /** + * Convenience: {@link #lookupFromReader} followed by {@link #applyReadVersionConflicts}. + * Used by the read-only and NRT replica engines, which read directly from the segment + * snapshot without a live version map. + */ + public DocumentLookupResult getById(Engine.Get get, IndexReaderProvider.Reader reader) throws IOException { + DocumentLookupResult result = lookupFromReader(get, reader); + applyReadVersionConflicts(get, result); + return result; + } +} diff --git a/server/src/main/java/org/opensearch/index/engine/exec/DocumentMetadataResolver.java b/server/src/main/java/org/opensearch/index/engine/exec/DocumentMetadataResolver.java new file mode 100644 index 0000000000000..60b5d605c4691 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/engine/exec/DocumentMetadataResolver.java @@ -0,0 +1,55 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.engine.exec; + +import org.opensearch.common.annotation.ExperimentalApi; + +import java.io.IOException; + +/** + * Resolves a document's physical row location ({@code rowId}, {@code writerGeneration}) from the + * index's secondary structure, used to fetch the row from the primary store. Returns {@code null} + * ("not found") when there is no id present. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface DocumentMetadataResolver { + + /** Sentinel for {@link DocumentMetadata} location fields that were not populated. */ + long UNSET = -1L; + + /** No-op resolver used when no backend provides one. */ + DocumentMetadataResolver NOOP = new DocumentMetadataResolver() { + @Override + public DocumentMetadata resolveMetadata(IndexReaderProvider.Reader reader, String id) { + return null; + } + }; + + /** + * Physical row location for a document. Version metadata lives in the primary store, not here. + * + * @param id the document id + * @param rowId the row offset within the data file + * @param writerGeneration the writer generation identifying the data file + */ + @ExperimentalApi + record DocumentMetadata(String id, long rowId, long writerGeneration) { + } + + /** + * Resolve row location for a document id. + * + * @param reader the point-in-time reader snapshot + * @param id the document id to resolve + * @return the {@link DocumentMetadata}, or {@code null} if not found + */ + DocumentMetadata resolveMetadata(IndexReaderProvider.Reader reader, String id) throws IOException; +} diff --git a/server/src/main/java/org/opensearch/index/engine/exec/Indexer.java b/server/src/main/java/org/opensearch/index/engine/exec/Indexer.java index 90908b4f20351..4a1209be0faf4 100644 --- a/server/src/main/java/org/opensearch/index/engine/exec/Indexer.java +++ b/server/src/main/java/org/opensearch/index/engine/exec/Indexer.java @@ -12,6 +12,7 @@ import org.opensearch.common.Nullable; import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.common.concurrent.GatedCloseable; +import org.opensearch.index.engine.Engine; import org.opensearch.index.engine.EngineConfig; import org.opensearch.index.engine.EngineException; import org.opensearch.index.engine.LifecycleAware; @@ -22,6 +23,7 @@ import java.io.Closeable; import java.io.IOException; +import java.util.function.BiFunction; /** * Unified interface for indexing operations in OpenSearch. @@ -199,6 +201,13 @@ Translog.Snapshot newChangesSnapshot(String source, long fromSeqNo, long toSeqNo */ GatedCloseable acquireLastCommittedSnapshot(boolean flushFirst) throws EngineException, IOException; + /** + * Resolves a document by id. Engine-backed indexers delegate to + * {@link Engine#get(Engine.Get, java.util.function.BiFunction)} with {@code searcherFactory}; + * row-store indexers acquire their own reader and ignore the factory. + */ + Engine.GetResult getById(Engine.Get get, BiFunction searcherFactory) throws IOException; + /** * Returns {@code true} if there are merges queued but not yet started. *

diff --git a/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshot.java b/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshot.java index 5c41de84116c2..c4f62478945e2 100644 --- a/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshot.java +++ b/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshot.java @@ -243,6 +243,24 @@ public Map> getFilesByFormat() { return cached; } + /** + * Finds the {@link WriterFileSet} for the given data format whose {@code writerGeneration} + * matches, or {@code null} if no segment carries a non-empty file set for that format/generation. + * + * @param format the data format name (e.g. {@code "parquet"}) + * @param writerGeneration the writer generation to match + * @return the matching file set, or {@code null} + */ + public WriterFileSet findFileSet(String format, long writerGeneration) { + for (Segment seg : getSegments()) { + WriterFileSet candidate = seg.dfGroupedSearchableFiles().get(format); + if (candidate == null || candidate.files().isEmpty()) continue; + if (candidate.writerGeneration() != writerGeneration) continue; + return candidate; + } + return null; + } + /** * Sets user-defined metadata for this catalog snapshot. * diff --git a/server/src/main/java/org/opensearch/index/get/DocumentLookupResult.java b/server/src/main/java/org/opensearch/index/get/DocumentLookupResult.java new file mode 100644 index 0000000000000..aedda9afe46a9 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/get/DocumentLookupResult.java @@ -0,0 +1,141 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.get; + +import org.opensearch.common.Nullable; +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.common.document.DocumentField; +import org.opensearch.common.lucene.uid.Versions; +import org.opensearch.common.lucene.uid.VersionsAndSeqNoResolver.DocIdAndVersion; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.index.engine.Engine; + +import java.util.Map; +import java.util.Objects; + +import static org.opensearch.index.seqno.SequenceNumbers.UNASSIGNED_PRIMARY_TERM; +import static org.opensearch.index.seqno.SequenceNumbers.UNASSIGNED_SEQ_NO; + +/** + * Minimal result of get-by-id lookup. Decouples callers from + * {@link Engine.GetResult}. + * + * @opensearch.experimental + */ +@ExperimentalApi +public record DocumentLookupResult(String id, long version, boolean exists, @Nullable BytesReference source, long seqNo, long primaryTerm, + Map documentFields, Map metadataFields) { + + public static DocumentLookupResult notFound(String id) { + return new DocumentLookupResult( + id, + Versions.NOT_FOUND, + false, + null, + UNASSIGNED_SEQ_NO, + UNASSIGNED_PRIMARY_TERM, + Map.of(), + Map.of() + ); + } + + public DocumentLookupResult( + String id, + long version, + boolean exists, + @Nullable BytesReference source, + long seqNo, + long primaryTerm, + Map documentFields, + Map metadataFields + ) { + this.id = id; + this.version = version; + this.exists = exists; + this.source = source; + this.seqNo = seqNo; + this.primaryTerm = primaryTerm; + this.documentFields = documentFields == null ? Map.of() : documentFields; + this.metadataFields = metadataFields == null ? Map.of() : metadataFields; + } + + /** + * Wraps this lookup as a {@link PreMaterialized} {@link Engine.GetResult} so the get-by-id path + * shares the {@code IndexShard.get(Engine.Get)} return type. The synthesized + * {@link DocIdAndVersion} carries version/seqNo/primaryTerm only; its reader/docId are unset + * and must not be dereferenced. + */ + public Engine.GetResult toGetResult() { + return new PreMaterialized(this); + } + + /** + * {@link Engine.GetResult} carrying a {@link DocumentLookupResult}. {@link ShardGetService} + * detects it via {@code instanceof} and materializes source/fields from the lookup instead of + * the engine stored-fields path. Has no searcher/docId — those accessors throw. + */ + public static final class PreMaterialized extends Engine.GetResult { + private final DocumentLookupResult lookup; + + private PreMaterialized(DocumentLookupResult lookup) { + super(null, new DocIdAndVersion(-1, lookup.version, lookup.seqNo, lookup.primaryTerm, null, 0), false); + this.lookup = lookup; + } + + public DocumentLookupResult lookup() { + return lookup; + } + + @Override + public Engine.Searcher searcher() { + throw new UnsupportedOperationException("PreMaterialized has no searcher"); + } + + @Override + public DocIdAndVersion docIdAndVersion() { + throw new UnsupportedOperationException("PreMaterialized has no docId"); + } + + @Override + public boolean exists() { + return lookup.exists; + } + + @Override + public long version() { + return lookup.version; + } + + @Override + public void close() { + // no searcher to release + } + } + + @Override + public boolean equals(Object o) { + if (this == o) return true; + if (o instanceof DocumentLookupResult == false) return false; + DocumentLookupResult other = (DocumentLookupResult) o; + return version == other.version + && exists == other.exists + && seqNo == other.seqNo + && primaryTerm == other.primaryTerm + && Objects.equals(id, other.id) + && Objects.equals(source, other.source) + && Objects.equals(documentFields, other.documentFields) + && Objects.equals(metadataFields, other.metadataFields); + } + + @Override + public int hashCode() { + return Objects.hash(id, version, exists, source, seqNo, primaryTerm, documentFields, metadataFields); + } + +} diff --git a/server/src/main/java/org/opensearch/index/get/ShardGetService.java b/server/src/main/java/org/opensearch/index/get/ShardGetService.java index c4d765c4e0358..6f8bbc92eb026 100644 --- a/server/src/main/java/org/opensearch/index/get/ShardGetService.java +++ b/server/src/main/java/org/opensearch/index/get/ShardGetService.java @@ -236,11 +236,64 @@ private GetResult innerGet( if (get == null || get.exists() == false) { return new GetResult(shardId.getIndexName(), id, UNASSIGNED_SEQ_NO, UNASSIGNED_PRIMARY_TERM, -1, false, null, null, null); } + if (get instanceof DocumentLookupResult.PreMaterialized) { + return buildFromLookup(((DocumentLookupResult.PreMaterialized) get).lookup(), fetchSourceContext); + } // break between having loaded it from translog (so we only have _source), and having a document to load return innerGetLoadFromStoredFields(id, gFields, fetchSourceContext, get, mapperService); } } + /** + * Builds a {@link GetResult} from a pre-materialized {@link DocumentLookupResult}, applying the + * request-level {@link FetchSourceContext} filters. Used by the pluggable get-by-id path. + */ + private GetResult buildFromLookup(DocumentLookupResult lookup, FetchSourceContext fetchSourceContext) { + BytesReference source = lookup.source(); + if (fetchSourceContext.fetchSource() == false) { + source = null; + } else { + source = applySourceFilter(source, fetchSourceContext); + } + return new GetResult( + shardId.getIndexName(), + lookup.id(), + lookup.seqNo(), + lookup.primaryTerm(), + lookup.version(), + lookup.exists(), + source, + lookup.documentFields(), + lookup.metadataFields() + ); + } + + /** + * Applies request-level {@code includes}/{@code excludes} source filtering via + * {@link XContentMapValues}. Returns the source unchanged when no filters + * are set, and {@code null} when the input is {@code null}. + */ + private static BytesReference applySourceFilter(BytesReference source, FetchSourceContext fetchSourceContext) { + if (source == null) { + return null; + } + if (fetchSourceContext.includes().length > 0 || fetchSourceContext.excludes().length > 0) { + Tuple> typeMapTuple = XContentHelper.convertToMap(source, true); + XContentType sourceContentType = typeMapTuple.v1(); + Map sourceAsMap = XContentMapValues.filter( + typeMapTuple.v2(), + fetchSourceContext.includes(), + fetchSourceContext.excludes() + ); + try { + return BytesReference.bytes(MediaTypeRegistry.contentBuilder(sourceContentType).map(sourceAsMap)); + } catch (IOException e) { + throw new OpenSearchException("Failed to apply source includes/excludes filter", e); + } + } + return source; + } + private GetResult innerGetLoadFromStoredFields( String id, String[] storedFields, @@ -369,28 +422,10 @@ private GetResult innerGetLoadFromStoredFields( } } - if (source != null) { - // apply request-level source filtering - if (fetchSourceContext.fetchSource() == false) { - source = null; - } else if (fetchSourceContext.includes().length > 0 || fetchSourceContext.excludes().length > 0) { - Map sourceAsMap; - // TODO: The source might be parsed and available in the sourceLookup but that one uses unordered maps so different. - // Do we care? - Tuple> typeMapTuple = XContentHelper.convertToMap(source, true); - XContentType sourceContentType = typeMapTuple.v1(); - sourceAsMap = typeMapTuple.v2(); - sourceAsMap = XContentMapValues.filter(sourceAsMap, fetchSourceContext.includes(), fetchSourceContext.excludes()); - try { - source = BytesReference.bytes(MediaTypeRegistry.contentBuilder(sourceContentType).map(sourceAsMap)); - } catch (IOException e) { - throw new OpenSearchException("Failed to get id [" + id + "] with includes/excludes set", e); - } - } - } - - if (!fetchSourceContext.fetchSource()) { + if (fetchSourceContext.fetchSource() == false) { source = null; + } else { + source = applySourceFilter(source, fetchSourceContext); } if (source != null && get.isFromTranslog()) { @@ -402,19 +437,8 @@ private GetResult innerGetLoadFromStoredFields( } } - if (source != null && (fetchSourceContext.includes().length > 0 || fetchSourceContext.excludes().length > 0)) { - Map sourceAsMap; - // TODO: The source might parsed and available in the sourceLookup but that one uses unordered maps so different. Do we care? - Tuple> typeMapTuple = XContentHelper.convertToMap(source, true); - XContentType sourceContentType = typeMapTuple.v1(); - sourceAsMap = typeMapTuple.v2(); - sourceAsMap = XContentMapValues.filter(sourceAsMap, fetchSourceContext.includes(), fetchSourceContext.excludes()); - try { - source = BytesReference.bytes(MediaTypeRegistry.contentBuilder(sourceContentType).map(sourceAsMap)); - } catch (IOException e) { - throw new OpenSearchException("Failed to get id [" + id + "] with includes/excludes set", e); - } - } + // Re-apply includes/excludes after translog reapply (which may have re-added excluded fields). + source = applySourceFilter(source, fetchSourceContext); return new GetResult( shardId.getIndexName(), diff --git a/server/src/main/java/org/opensearch/index/shard/IndexShard.java b/server/src/main/java/org/opensearch/index/shard/IndexShard.java index c5cf064562ba2..522acc858a096 100644 --- a/server/src/main/java/org/opensearch/index/shard/IndexShard.java +++ b/server/src/main/java/org/opensearch/index/shard/IndexShard.java @@ -1532,7 +1532,11 @@ public Engine.GetResult get(Engine.Get get) { if (mapper == null) { return GetResult.NOT_EXISTS; } - return applyOnEngine(getIndexer(), engine -> engine.get(get, this::acquireSearcher)); + try { + return getIndexer().getById(get, this::acquireSearcher); + } catch (IOException e) { + throw new OpenSearchException("get-by-id failed for id [" + get.id() + "]", e); + } } /** diff --git a/server/src/main/java/org/opensearch/indices/IndicesService.java b/server/src/main/java/org/opensearch/indices/IndicesService.java index 9f7d43685dfd9..ac64ae8424d89 100644 --- a/server/src/main/java/org/opensearch/indices/IndicesService.java +++ b/server/src/main/java/org/opensearch/indices/IndicesService.java @@ -752,7 +752,7 @@ public IndicesService( null, null, null, - null + new DataFormatRegistry(pluginsService) ); } @@ -1234,7 +1234,12 @@ private synchronized IndexService createIndexService( } private EngineConfigFactory getEngineConfigFactory(final IndexSettings idxSettings) { - return new EngineConfigFactory(this.pluginsService, idxSettings); + return new EngineConfigFactory( + this.pluginsService, + idxSettings, + dataFormatRegistry.getDocumentLookupProvider(), + dataFormatRegistry.getDocumentMetadataResolver() + ); } private IngestionConsumerFactory getIngestionConsumerFactory(final IndexSettings idxSettings) { diff --git a/server/src/main/java/org/opensearch/plugins/DocumentLookupProvider.java b/server/src/main/java/org/opensearch/plugins/DocumentLookupProvider.java new file mode 100644 index 0000000000000..61bc2f7bdd99c --- /dev/null +++ b/server/src/main/java/org/opensearch/plugins/DocumentLookupProvider.java @@ -0,0 +1,70 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.plugins; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.core.index.Index; +import org.opensearch.index.engine.Engine; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.engine.exec.IndexReaderProvider; +import org.opensearch.index.get.DocumentLookupResult; + +import java.io.IOException; +import java.util.List; + +/** + * SPI for pluggable get-by-id lookup. Implementations resolve a document id + * against the shard's current reader snapshot and return a + * {@link DocumentLookupResult} with the source (and optionally other fields) + * for the matching row. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface DocumentLookupProvider { + + /** + * Resolve the document referenced by {@code get} against {@code reader}. + * + * @param get the get request (id, realtime flag, etc.) + * @param reader a point-in-time index reader acquired by the caller + * @param index the index, used by implementations as the scan table name + * @param resolver the {@link DocumentMetadataResolver} used to resolve a document's row location + * @return the lookup result; never {@code null} + * @throws IOException if resolution fails + */ + DocumentLookupResult getById(Engine.Get get, IndexReaderProvider.Reader reader, Index index, DocumentMetadataResolver resolver) + throws IOException; + + /** + * Resolves only version metadata ({@code _version}/{@code _seq_no}/{@code _primary_term}) for an id, + * skipping {@code _source} reconstruction. The {@code resolver} resolves the document's row location. + */ + default DocumentLookupResult getVersionMetadata( + String id, + IndexReaderProvider.Reader reader, + Index index, + DocumentMetadataResolver resolver + ) throws IOException { + return DocumentLookupResult.notFound(id); + } + + /** + * Returns metadata for all documents with {@code _seq_no > fromSeqNoExclusive}. Default returns empty list. + * The {@code resolver} resolves each document's row location. + */ + default List getDocsAboveSeqNo( + long fromSeqNoExclusive, + IndexReaderProvider.Reader reader, + Index index, + DocumentMetadataResolver resolver + ) throws IOException { + return List.of(); + } +} diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index 48dbc983c53b4..f90036ed0a5ce 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -48,6 +48,7 @@ import org.opensearch.index.engine.exec.commit.Committer; import org.opensearch.index.engine.exec.commit.CommitterFactory; import org.opensearch.index.engine.exec.coord.CatalogSnapshot; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.mapper.DocumentMapper; import org.opensearch.index.mapper.IdFieldMapper; import org.opensearch.index.mapper.MapperService; @@ -63,6 +64,7 @@ import org.opensearch.index.translog.Translog; import org.opensearch.index.translog.TranslogConfig; import org.opensearch.index.translog.TranslogDeletionPolicy; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.plugins.PluginsService; import org.opensearch.plugins.SearchBackEndPlugin; import org.opensearch.test.DummyShardLock; @@ -94,6 +96,8 @@ import static org.hamcrest.Matchers.greaterThanOrEqualTo; import static org.hamcrest.Matchers.instanceOf; import static org.hamcrest.Matchers.notNullValue; +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.anyLong; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.when; @@ -162,6 +166,10 @@ private Store createStore() throws IOException { * expects to find: translog UUID, seq-no info, history UUID, etc. */ private void bootstrapStoreWithMetadata(Store store, String translogUUID) throws IOException { + bootstrapStoreWithMetadata(store, translogUUID, SequenceNumbers.NO_OPS_PERFORMED); + } + + private void bootstrapStoreWithMetadata(Store store, String translogUUID, long maxSeqNo) throws IOException { try ( IndexWriter writer = new IndexWriter( store.directory(), @@ -172,7 +180,7 @@ private void bootstrapStoreWithMetadata(Store store, String translogUUID) throws Map commitData = new HashMap<>(); commitData.put(Translog.TRANSLOG_UUID_KEY, translogUUID); commitData.put(SequenceNumbers.LOCAL_CHECKPOINT_KEY, Long.toString(SequenceNumbers.NO_OPS_PERFORMED)); - commitData.put(SequenceNumbers.MAX_SEQ_NO, Long.toString(SequenceNumbers.NO_OPS_PERFORMED)); + commitData.put(SequenceNumbers.MAX_SEQ_NO, Long.toString(maxSeqNo)); commitData.put(Engine.MAX_UNSAFE_AUTO_ID_TIMESTAMP_COMMIT_ID, "-1"); commitData.put(Engine.HISTORY_UUID_KEY, UUID.randomUUID().toString()); writer.setLiveCommitData(commitData.entrySet()); @@ -201,12 +209,28 @@ private EngineConfig buildDFAEngineConfig( return buildDFAEngineConfig(store, translogPath, externalListeners, internalListeners, IndexModule.TieringState.HOT.name()); } + /** Builds a HOT-tier DFA {@link EngineConfig} carrying the given {@link DocumentLookupProvider}. */ + private EngineConfig buildDFAEngineConfig(Store store, Path translogPath, DocumentLookupProvider documentLookupProvider) { + return buildDFAEngineConfig(store, translogPath, List.of(), List.of(), IndexModule.TieringState.HOT.name(), documentLookupProvider); + } + private EngineConfig buildDFAEngineConfig( Store store, Path translogPath, List externalListeners, List internalListeners, String tieringState + ) { + return buildDFAEngineConfig(store, translogPath, externalListeners, internalListeners, tieringState, null); + } + + private EngineConfig buildDFAEngineConfig( + Store store, + Path translogPath, + List externalListeners, + List internalListeners, + String tieringState, + DocumentLookupProvider documentLookupProvider ) { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings( "test", @@ -257,6 +281,7 @@ private EngineConfig buildDFAEngineConfig( public void onFailedEngine(String reason, Exception e) {} }) .mapperService(mapperService) + .documentLookupProvider(documentLookupProvider) .build(); } @@ -286,6 +311,64 @@ private Engine.Index indexOp(ParsedDocument doc) { ); } + /** + * Append-only optimizable variant of {@link #indexOp}: a non-negative autoGeneratedIdTimestamp + * with isRetry=false makes {@link IndexingStrategyPlanner} take the optimizedAppendOnly path + * (no safe-access enforcement). + */ + private Engine.Index appendOnlyOp(ParsedDocument doc) { + return new Engine.Index( + new Term(IdFieldMapper.NAME, Uid.encodeId(doc.id())), + doc, + SequenceNumbers.UNASSIGNED_SEQ_NO, + primaryTerm.get(), + Versions.MATCH_ANY, + VersionType.INTERNAL, + Engine.Operation.Origin.PRIMARY, + System.nanoTime(), + System.currentTimeMillis(), + false, + SequenceNumbers.UNASSIGNED_SEQ_NO, + 0 + ); + } + + /** Explicit-id index with a caller-supplied version/versionType (for version-conflict tests). */ + private Engine.Index indexOpWithVersion(ParsedDocument doc, long version, VersionType versionType) { + return new Engine.Index( + new Term(IdFieldMapper.NAME, Uid.encodeId(doc.id())), + doc, + SequenceNumbers.UNASSIGNED_SEQ_NO, + primaryTerm.get(), + version, + versionType, + Engine.Operation.Origin.PRIMARY, + System.nanoTime(), + -1, + false, + SequenceNumbers.UNASSIGNED_SEQ_NO, + 0 + ); + } + + /** Explicit-id index with compare-and-set ifSeqNo/ifPrimaryTerm (for optimistic-concurrency tests). */ + private Engine.Index indexOpWithIfSeqNo(ParsedDocument doc, long ifSeqNo, long ifPrimaryTerm) { + return new Engine.Index( + new Term(IdFieldMapper.NAME, Uid.encodeId(doc.id())), + doc, + SequenceNumbers.UNASSIGNED_SEQ_NO, + primaryTerm.get(), + Versions.MATCH_ANY, + VersionType.INTERNAL, + Engine.Operation.Origin.PRIMARY, + System.nanoTime(), + -1, + false, + ifSeqNo, + ifPrimaryTerm + ); + } + /** * Wraps {@link EngineTestCase#createParsedDoc(String, String)} to attach a * {@link MockDocumentInput}. {@link DataFormatAwareEngine#index} requires a @@ -3716,4 +3799,437 @@ public void testConcurrentIndexAndRefreshDocCountNeverUnderCounts() throws Excep } } } + + private DataFormatAwareEngine createDFAEngineWithLookupProvider(Store store, Path translogPath, DocumentLookupProvider provider) + throws IOException { + String uuid = Translog.createEmptyTranslog(translogPath, SequenceNumbers.NO_OPS_PERFORMED, shardId, primaryTerm.get()); + bootstrapStoreWithMetadata(store, uuid); + return new DataFormatAwareEngine(buildDFAEngineConfig(store, translogPath, provider)); + } + + private Engine.Get realtimeGet(String id) { + return new Engine.Get(true, true, id, new Term(IdFieldMapper.NAME, Uid.encodeId(id))); + } + + private DocumentLookupProvider mockLookupProvider() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn(DocumentLookupResult.notFound("")); + when(provider.getVersionMetadata(any(), any(), any(), any())).thenReturn(DocumentLookupResult.notFound("")); + return provider; + } + + public void testGetMaxSeqNoOfUpdatesOrDeletes() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + assertThat(engine.getMaxSeqNoOfUpdatesOrDeletes(), equalTo(SequenceNumbers.NO_OPS_PERFORMED)); + } + } + + public void testCurrentOngoingRefreshCheckpoint() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + assertThat(engine.currentOngoingRefreshCheckpoint(), equalTo(SequenceNumbers.NO_OPS_PERFORMED)); + for (int i = 0; i < 5; i++) { + engine.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + } + engine.refresh("test"); + assertThat(engine.currentOngoingRefreshCheckpoint(), greaterThanOrEqualTo(0L)); + } + } + + /** Calls the new getById(Engine.Get, searcherFactory) and unwraps the pre-materialized lookup. + * DFA engines ignore the searcher factory, so a no-op factory is supplied. */ + private static DocumentLookupResult getByIdLookup(DataFormatAwareEngine engine, Engine.Get get) throws IOException { + Engine.GetResult result = engine.getById(get, (source, scope) -> null); + return result.exists() ? ((DocumentLookupResult.PreMaterialized) result).lookup() : DocumentLookupResult.notFound(get.id()); + } + + public void testGetByIdThrowsWhenNoProvider() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + Engine.Get get = realtimeGet("1"); + expectThrows(UnsupportedOperationException.class, () -> getByIdLookup(engine, get)); + } + } + + public void testGetByIdReturnsNotFoundWhenEmptyCatalog() throws IOException { + DocumentLookupProvider provider = mockLookupProvider(); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + Engine.Get get = realtimeGet("1"); + DocumentLookupResult result = getByIdLookup(engine, get); + assertFalse("should be not found on empty catalog", result.exists()); + } + } + + public void testGetByIdReturnsDocFromTranslog() throws IOException { + DocumentLookupProvider provider = mockLookupProvider(); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + // Realtime get with readFromTranslog finds it in translog via versionMap location + Engine.Get get = realtimeGet("1"); + DocumentLookupResult result = getByIdLookup(engine, get); + assertTrue("doc should be found from translog", result.exists()); + assertThat(result.seqNo(), equalTo(0L)); + } + } + + public void testGetByIdReturnsDocFromParquetAfterRefresh() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 1L, true, null, 0L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + engine.refresh("test"); + // Non-realtime get falls through to provider + Engine.Get get = new Engine.Get(false, false, "1", new Term(IdFieldMapper.NAME, Uid.encodeId("1"))); + DocumentLookupResult result = getByIdLookup(engine, get); + assertTrue("doc should be found from parquet", result.exists()); + } + } + + /** + * Covers resolveDocVersion falling back to DocumentLookupProvider when versionMap miss. + * Also covers incrementIndexVersionLookup (called inside resolveDocVersion on provider path). + */ + public void testResolveDocVersionFallsBackToProvider() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getVersionMetadata(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 5L, true, null, 3L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + engine.refresh("test"); + // Re-index same doc — resolveDocVersion misses versionMap (cleared by refresh rotation), + // falls back to provider which returns version=5. MATCH_ANY accepts. + Engine.IndexResult result = engine.index(indexOp(createParsedDocWithInput("1", null))); + assertThat(result.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + assertThat(result.getSeqNo(), equalTo(1L)); + } + } + + /** Reflectively obtains the engine's LiveVersionMap. resolveDocVersion/getVersionFromMap assert the + * per-uid keyed lock is held, so callers must wrap in {@code versionMap.acquireLock(uid)}. */ + @SuppressForbidden(reason = "test needs reflective access to the engine's versionMap field") + private LiveVersionMap versionMapOf(DataFormatAwareEngine engine) throws Exception { + java.lang.reflect.Field vmField = DataFormatAwareEngine.class.getDeclaredField("versionMap"); + vmField.setAccessible(true); + return (LiveVersionMap) vmField.get(engine); + } + + /** resolveDocVersion branch 1: versionMap miss with no provider returns null. */ + public void testResolveDocVersionReturnsNullWhenNoProvider() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + Engine.Index op = indexOp(createParsedDocWithInput("1", null)); + try (org.opensearch.common.lease.Releasable ignored = versionMapOf(engine).acquireLock(op.uid().bytes())) { + assertNull(engine.resolveDocVersion(op, true)); + } + } + } + + /** resolveDocVersion branch 2: versionMap miss with an empty catalog returns null (provider not consulted). */ + public void testResolveDocVersionReturnsNullOnEmptyCatalog() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), mockLookupProvider())) { + Engine.Index op = indexOp(createParsedDocWithInput("1", null)); + try (org.opensearch.common.lease.Releasable ignored = versionMapOf(engine).acquireLock(op.uid().bytes())) { + assertNull(engine.resolveDocVersion(op, true)); + } + } + } + + /** resolveDocVersion branch 4: versionMap miss, provider consulted, getById returns NOT_FOUND → null. */ + public void testResolveDocVersionReturnsNullWhenProviderNotFound() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), mockLookupProvider())) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + engine.refresh("test"); + Engine.Index op = indexOp(createParsedDocWithInput("2", null)); + try (org.opensearch.common.lease.Releasable ignored = versionMapOf(engine).acquireLock(op.uid().bytes())) { + assertNull(engine.resolveDocVersion(op, true)); + } + } + } + + /** resolveDocVersion branch 6: versionMap hit returns the stored IndexVersionValue. */ + public void testResolveDocVersionReturnsVersionMapHit() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + Engine.Index op = indexOp(createParsedDocWithInput("1", null)); + VersionValue vv; + try (org.opensearch.common.lease.Releasable ignored = versionMapOf(engine).acquireLock(op.uid().bytes())) { + vv = engine.resolveDocVersion(op, true); + } + assertNotNull(vv); + assertThat(vv.version, equalTo(1L)); + assertThat(vv.seqNo, equalTo(0L)); + } + } + + /** + * Covers restoreVersionMapAndCheckpointTracker + compareOpToVersionMapOnSeqNo. + * The provider returns docs for seqNos 0-3 so checkpoint advances contiguously. + */ + public void testRestoreVersionMapAndCheckpointTracker() throws IOException { + Path translogPath = createTempDir(); + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getDocsAboveSeqNo(anyLong(), any(), any(), any())).thenReturn( + List.of( + new DocumentLookupResult("a", 1L, true, null, 0L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("b", 1L, true, null, 1L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("c", 1L, true, null, 2L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("d", 1L, true, null, 3L, 1L, Map.of(), Map.of()) + ) + ); + when(provider.getVersionMetadata(any(), any(), any(), any())).thenReturn(DocumentLookupResult.notFound("x")); + + // Bootstrap with maxSeqNo=3, localCheckpoint=-1 (triggers restore) + String uuid = Translog.createEmptyTranslog(translogPath, SequenceNumbers.NO_OPS_PERFORMED, shardId, primaryTerm.get()); + bootstrapStoreWithMetadata(store, uuid, 3L); + + EngineConfig config = buildDFAEngineConfig(store, translogPath, provider); + try (DataFormatAwareEngine engine = new DataFormatAwareEngine(config)) { + // All seqNos 0-3 marked → checkpoint advances to 3 + assertThat(engine.getProcessedLocalCheckpoint(), equalTo(3L)); + } + } + + /** + * Covers compareOpToVersionMapOnSeqNo returning OP_STALE_OR_EQUAL. + * Provider returns entries for id "x" at seqNo=2 and seqNo=5, plus a duplicate at seqNo=5. + * The stale entry (seqNo=2) is overwritten by OP_NEWER, the duplicate (same seqNo=5) is skipped. + */ + public void testRestoreVersionMapSkipsStaleEntries() throws IOException { + Path translogPath = createTempDir(); + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + // Return all seqNos 0-5 so checkpoint advances, with duplicate id "x" at seqNo 2 and 5 + when(provider.getDocsAboveSeqNo(anyLong(), any(), any(), any())).thenReturn( + List.of( + new DocumentLookupResult("a", 1L, true, null, 0L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("b", 1L, true, null, 1L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("x", 1L, true, null, 2L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("c", 1L, true, null, 3L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("d", 1L, true, null, 4L, 1L, Map.of(), Map.of()), + new DocumentLookupResult("x", 2L, true, null, 5L, 1L, Map.of(), Map.of()), + // Duplicate id "x" at same seqNo=5 → hits seqNo == versionValue.seqNo → OP_STALE_OR_EQUAL + new DocumentLookupResult("x", 2L, true, null, 5L, 1L, Map.of(), Map.of()) + ) + ); + when(provider.getVersionMetadata(any(), any(), any(), any())).thenReturn(DocumentLookupResult.notFound("x")); + + String uuid = Translog.createEmptyTranslog(translogPath, SequenceNumbers.NO_OPS_PERFORMED, shardId, primaryTerm.get()); + bootstrapStoreWithMetadata(store, uuid, 5L); + + EngineConfig config = buildDFAEngineConfig(store, translogPath, provider); + try (DataFormatAwareEngine engine = new DataFormatAwareEngine(config)) { + // All seqNos 0-5 contiguous → checkpoint = 5 + assertThat(engine.getProcessedLocalCheckpoint(), equalTo(5L)); + // Index "x" again — should succeed (versionMap has version=2 from seqNo=5 entry) + Engine.IndexResult result = engine.index(indexOp(createParsedDocWithInput("x", null))); + assertThat(result.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + } + } + + public void testRestoreVersionMapThrowsOnIOException() throws IOException { + Path translogPath = createTempDir(); + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getDocsAboveSeqNo(anyLong(), any(), any(), any())).thenThrow(new IOException("simulated read failure")); + + String uuid = Translog.createEmptyTranslog(translogPath, SequenceNumbers.NO_OPS_PERFORMED, shardId, primaryTerm.get()); + bootstrapStoreWithMetadata(store, uuid, 3L); + + EngineConfig config = buildDFAEngineConfig(store, translogPath, provider); + EngineCreationFailureException ex = expectThrows(EngineCreationFailureException.class, () -> new DataFormatAwareEngine(config)); + assertThat(ex.getMessage(), containsString("failed to restore version map")); + assertThat(ex.getCause(), instanceOf(IOException.class)); + } + + /** + * Covers getVersionFromMap unsafe path: versionMap.isUnsafe() triggers refresh + enforceSafeAccess. + */ + @SuppressForbidden(reason = "test needs reflective access to mark versionMap as unsafe") + public void testGetVersionFromMapUnsafePathTriggersRefresh() throws Exception { + DocumentLookupProvider provider = mockLookupProvider(); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + + java.lang.reflect.Field vmField = DataFormatAwareEngine.class.getDeclaredField("versionMap"); + vmField.setAccessible(true); + LiveVersionMap versionMap = (LiveVersionMap) vmField.get(engine); + java.lang.reflect.Field mapsField = LiveVersionMap.class.getDeclaredField("maps"); + mapsField.setAccessible(true); + Object maps = mapsField.get(versionMap); + java.lang.reflect.Field currentField = maps.getClass().getDeclaredField("current"); + currentField.setAccessible(true); + Object current = currentField.get(maps); + java.lang.reflect.Method markUnsafe = current.getClass().getDeclaredMethod("markAsUnsafe"); + markUnsafe.setAccessible(true); + markUnsafe.invoke(current); + + assertTrue("versionMap should be unsafe", versionMap.isUnsafe()); + + long genBefore; + try (GatedCloseable ref = engine.acquireSnapshot()) { + genBefore = ref.get().getGeneration(); + } + + getByIdLookup(engine, realtimeGet("1")); + + long genAfter; + try (GatedCloseable ref = engine.acquireSnapshot()) { + genAfter = ref.get().getGeneration(); + } + assertThat("refresh should have been triggered by unsafe versionMap", genAfter, greaterThan(genBefore)); + assertFalse("versionMap should be safe after refresh", versionMap.isUnsafe()); + } + } + + /** + * DFAE port of InternalEngineTests.testVersionMapAfterAutoIDDocument (delete step dropped — + * engine.delete() is unsupported in this harness). Verifies LiveVersionMap safe-access + * transitions: optimized append-only skips the map; an explicit-id index enforces safe access + * and stores the entry; safe access is carried over across refresh. + */ + @SuppressForbidden(reason = "test needs reflective access to the engine's versionMap field") + public void testVersionMapAfterAutoIDDocument() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + java.lang.reflect.Field vmField = DataFormatAwareEngine.class.getDeclaredField("versionMap"); + vmField.setAccessible(true); + LiveVersionMap versionMap = (LiveVersionMap) vmField.get(engine); + + // Optimized append-only: no safe access enforced, nothing stored in the current map. + engine.index(appendOnlyOp(createParsedDocWithInput("1", null))); + assertFalse(versionMap.isSafeAccessRequired()); + assertTrue(versionMap.getAllCurrent().isEmpty()); + + // Explicit-id index of the same id: enforces safe access and stores the entry. + engine.index(indexOp(createParsedDocWithInput("1", null))); + assertTrue(versionMap.isSafeAccessRequired()); + assertEquals(1, versionMap.getAllCurrent().size()); + + // Refresh rotates the map; safe access is carried over. + engine.refresh("test"); + assertTrue(versionMap.isSafeAccessRequired()); + + // Append-only under active safe access still stores the entry. + engine.index(appendOnlyOp(createParsedDocWithInput("2", null))); + assertEquals(1, versionMap.getAllCurrent().size()); + } + } + + /** + * A: write-path version conflict resolved from the versionMap. EXTERNAL version=5 then a stale + * EXTERNAL version=3 hits isVersionConflictForWrites (IndexingStrategyPlanner) → conflict. + */ + public void testIndexVersionConflictFromVersionMap() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + Engine.IndexResult first = engine.index(indexOpWithVersion(createParsedDocWithInput("1", null), 5L, VersionType.EXTERNAL)); + assertThat(first.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + Engine.IndexResult stale = engine.index(indexOpWithVersion(createParsedDocWithInput("1", null), 3L, VersionType.EXTERNAL)); + assertThat(stale.getResultType(), equalTo(Engine.Result.Type.FAILURE)); + assertThat(stale.getFailure(), instanceOf(VersionConflictEngineException.class)); + } + } + + /** + * B: optimistic-concurrency conflict on the write path. After indexing id "1" (seqNo 0), an index + * with a non-matching ifSeqNo hits the seqNo/term conflict branch (IndexingStrategyPlanner) → conflict. + */ + public void testIndexIfSeqNoConflict() throws IOException { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + engine.index(indexOp(createParsedDocWithInput("1", null))); + Engine.IndexResult result = engine.index(indexOpWithIfSeqNo(createParsedDocWithInput("1", null), 99L, primaryTerm.get())); + assertThat(result.getResultType(), equalTo(Engine.Result.Type.FAILURE)); + assertThat(result.getFailure(), instanceOf(VersionConflictEngineException.class)); + } + } + + /** + * C: optimized append-only ops never enter safe-access mode — they leave the current map empty + * and mark it unsafe (LiveVersionMap.maybePutIndexUnderLock else-branch). + */ + @SuppressForbidden(reason = "test needs reflective access to the engine's versionMap field") + public void testAppendOnlyMarksVersionMapUnsafe() throws Exception { + try (DataFormatAwareEngine engine = createDFAEngine(store, createTempDir())) { + java.lang.reflect.Field vmField = DataFormatAwareEngine.class.getDeclaredField("versionMap"); + vmField.setAccessible(true); + LiveVersionMap versionMap = (LiveVersionMap) vmField.get(engine); + + int n = randomIntBetween(2, 5); + for (int i = 0; i < n; i++) { + engine.index(appendOnlyOp(createParsedDocWithInput(Integer.toString(i), null))); + } + assertFalse(versionMap.isSafeAccessRequired()); + assertTrue(versionMap.getAllCurrent().isEmpty()); + assertTrue(versionMap.isUnsafe()); + } + } + + /** + * Covers getById paths: delete check, version conflict, seqNo/primaryTerm conflict. + * Uses reflection to inject a DeleteVersionValue into versionMap since engine.delete() is unsupported. + */ + @SuppressForbidden(reason = "test needs reflective access to inject DeleteVersionValue into versionMap") + public void testGetByIdDeleteAndConflictPaths() throws Exception { + DocumentLookupProvider provider = mockLookupProvider(); + try (DataFormatAwareEngine engine = createDFAEngineWithLookupProvider(store, createTempDir(), provider)) { + // Index a doc so versionMap has an IndexVersionValue + engine.index(indexOp(createParsedDocWithInput("1", null))); + + // --- Path 1: versionValue.isDelete() --- + // Inject a DeleteVersionValue into versionMap via reflection + java.lang.reflect.Field vmField = DataFormatAwareEngine.class.getDeclaredField("versionMap"); + vmField.setAccessible(true); + LiveVersionMap versionMap = (LiveVersionMap) vmField.get(engine); + org.apache.lucene.util.BytesRef uid = new Term(IdFieldMapper.NAME, Uid.encodeId("1")).bytes(); + try (org.opensearch.common.lease.Releasable ignored = versionMap.acquireLock(uid)) { + versionMap.putDeleteUnderLock(uid, new DeleteVersionValue(2L, 1L, 1L, System.currentTimeMillis())); + } + + Engine.Get getForDelete = realtimeGet("1"); + DocumentLookupResult deleteResult = getByIdLookup(engine, getForDelete); + assertFalse("deleted doc should return not found", deleteResult.exists()); + + // --- Path 2: version conflict for reads --- + // Put back an IndexVersionValue so we can test version conflict + try (org.opensearch.common.lease.Releasable ignored = versionMap.acquireLock(uid)) { + versionMap.putIndexUnderLock(uid, new IndexVersionValue(null, 5L, 0L, 1L)); + } + + Engine.Get getWithConflict = realtimeGet("1").version(3L).versionType(VersionType.EXTERNAL); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, getWithConflict)); + + // --- Path 3: seqNo/primaryTerm conflict (seqNo matches, primaryTerm doesn't) --- + Engine.Get getWithSeqNoConflict = realtimeGet("1").setIfSeqNo(99L).setIfPrimaryTerm(1L); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, getWithSeqNoConflict)); + + // --- Path 4: primaryTerm mismatch (seqNo matches but primaryTerm doesn't) --- + // versionMap has seqNo=0, primaryTerm=1 from the IndexVersionValue above + try (org.opensearch.common.lease.Releasable ignored = versionMap.acquireLock(uid)) { + versionMap.putIndexUnderLock(uid, new IndexVersionValue(null, 5L, 0L, 1L)); + } + Engine.Get getWithPtConflict = realtimeGet("1").setIfSeqNo(0L).setIfPrimaryTerm(999L); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, getWithPtConflict)); + + // --- Path 5: seqNo and primaryTerm both match — no conflict, falls through --- + Engine.Get getNoConflict = realtimeGet("1").setIfSeqNo(0L).setIfPrimaryTerm(1L); + DocumentLookupResult noConflictResult = getByIdLookup(engine, getNoConflict); + assertNotNull("should not throw when seqNo and primaryTerm match", noConflictResult); + + // --- Path 6: GC deletes in resolveDocVersion --- + // Inject an expired DeleteVersionValue (time far in the past) so gc_deletes nullifies it + try (org.opensearch.common.lease.Releasable ignored = versionMap.acquireLock(uid)) { + versionMap.putDeleteUnderLock(uid, new DeleteVersionValue(3L, 2L, 1L, 1L)); // time=1ms (epoch start, expired) + } + // Index same doc again — resolveDocVersion finds expired DeleteVersionValue, nullifies it, + // treats as new doc (version NOT_FOUND) + Engine.IndexResult gcResult = engine.index(indexOp(createParsedDocWithInput("1", null))); + assertThat(gcResult.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + + // --- Path 7: translog readOperation returns null (bogus location) --- + // Covers the negative path: if (operation != null) is false, falls through to refreshIfNeeded + Translog.Location bogusLocation = new Translog.Location(999L, 0L, 1); + try (org.opensearch.common.lease.Releasable ignored = versionMap.acquireLock(uid)) { + versionMap.putIndexUnderLock(uid, new IndexVersionValue(bogusLocation, 6L, 3L, 1L)); + } + Engine.Get getWithBadTranslog = realtimeGet("1"); + DocumentLookupResult translogNullResult = getByIdLookup(engine, getWithBadTranslog); + assertNotNull("should fall through when translog returns null", translogNullResult); + } + } } diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngineTests.java index 9ebba95a6b7e8..a6a0e709f217d 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngineTests.java @@ -36,6 +36,7 @@ import org.opensearch.index.engine.exec.coord.CatalogSnapshot; import org.opensearch.index.engine.exec.coord.CatalogSnapshotManager; import org.opensearch.index.engine.exec.coord.DataformatAwareCatalogSnapshot; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.seqno.RetentionLeases; import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.index.shard.ShardPath; @@ -43,6 +44,7 @@ import org.opensearch.index.store.Store; import org.opensearch.index.translog.Translog; import org.opensearch.index.translog.TranslogConfig; +import org.opensearch.plugins.DocumentLookupProvider; import org.opensearch.plugins.PluginsService; import org.opensearch.plugins.SearchBackEndPlugin; import org.opensearch.test.DummyShardLock; @@ -69,6 +71,7 @@ import static org.opensearch.index.engine.EngineTestCase.tombstoneDocSupplier; import static org.hamcrest.Matchers.instanceOf; +import static org.mockito.ArgumentMatchers.any; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.when; @@ -844,4 +847,138 @@ public void testNoOpDeletionPolicyNeverDeletesSnapshots() { assertTrue("onInit with empty list should return empty", policy.onInit(List.of()).isEmpty()); assertTrue("onCommit with empty list should return empty", policy.onCommit(List.of()).isEmpty()); } + + // ---------- getById Tests ---------- + + private Engine.Get realtimeGet(String id) { + return new Engine.Get(true, true, id, new org.apache.lucene.index.Term("_id", org.opensearch.index.mapper.Uid.encodeId(id))); + } + + private DataFormatAwareReadOnlyEngine createReadOnlyEngineWithProvider(org.opensearch.plugins.DocumentLookupProvider provider) + throws IOException { + String translogUUID = UUID.randomUUID().toString(); + String historyUUID = UUID.randomUUID().toString(); + bootstrapStoreWithMetadata(store, translogUUID, historyUUID); + Path translogPath = createTempDir().resolve("translog"); + TranslogConfig translogConfig = new TranslogConfig( + shardId, + translogPath, + warmIndexSettings(), + BigArrays.NON_RECYCLING_INSTANCE, + "", + false + ); + DataFormatRegistry registry = createMockRegistry(); + CommitterFactory committerFactory = config -> new InMemoryCommitter(store) { + @Override + public List listCommittedSnapshots() { + Map userData = new HashMap<>(); + userData.put(SequenceNumbers.LOCAL_CHECKPOINT_KEY, Long.toString(SequenceNumbers.NO_OPS_PERFORMED)); + userData.put(SequenceNumbers.MAX_SEQ_NO, Long.toString(SequenceNumbers.NO_OPS_PERFORMED)); + userData.put(Translog.TRANSLOG_UUID_KEY, UUID.randomUUID().toString()); + userData.put(Engine.HISTORY_UUID_KEY, UUID.randomUUID().toString()); + DataformatAwareCatalogSnapshot snapshot = (DataformatAwareCatalogSnapshot) CatalogSnapshotManager.createInitialSnapshot( + 0L, + 0L, + 0L, + List.of(new Segment(1L, Map.of())), + -1L, + userData + ); + snapshot.setLastCommitInfo("segments_1", 1L, 0L); + return List.of(snapshot); + } + }; + EngineConfig config = new EngineConfig.Builder().shardId(shardId) + .threadPool(threadPool) + .indexSettings(warmIndexSettings()) + .store(store) + .mergePolicy(org.apache.lucene.index.NoMergePolicy.INSTANCE) + .translogConfig(translogConfig) + .flushMergesAfter(TimeValue.timeValueMinutes(5)) + .externalRefreshListener(List.of()) + .internalRefreshListener(List.of()) + .globalCheckpointSupplier(() -> SequenceNumbers.NO_OPS_PERFORMED) + .retentionLeasesSupplier(() -> RetentionLeases.EMPTY) + .primaryTermSupplier(primaryTerm::get) + .tombstoneDocSupplier(tombstoneDocSupplier()) + .dataFormatRegistry(registry) + .committerFactory(committerFactory) + .readOnlyReplica(false) + .build(); + return new DataFormatAwareReadOnlyEngine(config, provider); + } + + /** Calls the new getById(Engine.Get, searcherFactory) and unwraps the pre-materialized lookup. + * DFA engines ignore the searcher factory, so a no-op factory is supplied. */ + private static DocumentLookupResult getByIdLookup(DataFormatAwareReadOnlyEngine engine, Engine.Get get) throws IOException { + Engine.GetResult result = engine.getById(get, (source, scope) -> null); + return result.exists() ? ((DocumentLookupResult.PreMaterialized) result).lookup() : DocumentLookupResult.notFound(get.id()); + } + + public void testGetByIdThrowsWhenNoProvider() throws IOException { + try (DataFormatAwareReadOnlyEngine engine = createReadOnlyEngine()) { + Engine.Get get = realtimeGet("1"); + expectThrows(UnsupportedOperationException.class, () -> getByIdLookup(engine, get)); + } + } + + public void testGetByIdReturnsNotFoundOnEmptyCatalog() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + String translogUUID = UUID.randomUUID().toString(); + String historyUUID = UUID.randomUUID().toString(); + bootstrapStoreWithMetadata(store, translogUUID, historyUUID); + EngineConfig config = buildConfig(store, warmIndexSettings(), null); + try (DataFormatAwareReadOnlyEngine engine = new DataFormatAwareReadOnlyEngine(config, provider)) { + Engine.Get get = realtimeGet("1"); + DocumentLookupResult result = getByIdLookup(engine, get); + assertFalse("should return not found when catalog has no segments", result.exists()); + } + } + + public void testGetByIdReturnsDocWhenNoConflict() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 1L, true, null, 0L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareReadOnlyEngine engine = createReadOnlyEngineWithProvider(provider)) { + Engine.Get get = realtimeGet("1"); + DocumentLookupResult result = getByIdLookup(engine, get); + assertTrue("doc should be found", result.exists()); + assertEquals(1L, result.version()); + } + } + + public void testGetByIdThrowsVersionConflictForReads() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 5L, true, null, 0L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareReadOnlyEngine engine = createReadOnlyEngineWithProvider(provider)) { + Engine.Get get = realtimeGet("1").version(3L).versionType(org.opensearch.index.VersionType.EXTERNAL); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, get)); + } + } + + public void testGetByIdThrowsOnSeqNoMismatch() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 1L, true, null, 5L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareReadOnlyEngine engine = createReadOnlyEngineWithProvider(provider)) { + Engine.Get get = realtimeGet("1").setIfSeqNo(99L).setIfPrimaryTerm(1L); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, get)); + } + } + + public void testGetByIdThrowsOnPrimaryTermMismatch() throws IOException { + DocumentLookupProvider provider = mock(DocumentLookupProvider.class); + when(provider.getById(any(), any(), any(), any())).thenReturn( + new DocumentLookupResult("1", 1L, true, null, 5L, 1L, Map.of(), Map.of()) + ); + try (DataFormatAwareReadOnlyEngine engine = createReadOnlyEngineWithProvider(provider)) { + Engine.Get get = realtimeGet("1").setIfSeqNo(5L).setIfPrimaryTerm(99L); + expectThrows(VersionConflictEngineException.class, () -> getByIdLookup(engine, get)); + } + } } diff --git a/server/src/test/java/org/opensearch/index/engine/exec/coord/DataformatAwareCatalogSnapshotTests.java b/server/src/test/java/org/opensearch/index/engine/exec/coord/DataformatAwareCatalogSnapshotTests.java index 8a1c94256ebea..4b3d02da99604 100644 --- a/server/src/test/java/org/opensearch/index/engine/exec/coord/DataformatAwareCatalogSnapshotTests.java +++ b/server/src/test/java/org/opensearch/index/engine/exec/coord/DataformatAwareCatalogSnapshotTests.java @@ -406,6 +406,47 @@ public void testClonePreservesUserData() { assertEquals(5L, cloned.getVersion()); } + // --- findFileSet --- + + public void testFindFileSet_matchesGeneration() { + WriterFileSet pset = new WriterFileSet("/tmp/pq", 5L, Set.of("f.parquet"), 100, 0L); + DataformatAwareCatalogSnapshot snapshot = new DataformatAwareCatalogSnapshot( + 1L, + 1L, + 1L, + List.of(new Segment(5L, Map.of("parquet", pset))), + 0L, + Map.of() + ); + assertEquals(pset, snapshot.findFileSet("parquet", 5L)); + } + + public void testFindFileSet_noMatchingGeneration_returnsNull() { + WriterFileSet pset = new WriterFileSet("/tmp/pq", 5L, Set.of("f.parquet"), 100, 0L); + DataformatAwareCatalogSnapshot snapshot = new DataformatAwareCatalogSnapshot( + 1L, + 1L, + 1L, + List.of(new Segment(5L, Map.of("parquet", pset))), + 0L, + Map.of() + ); + assertNull(snapshot.findFileSet("parquet", 99L)); + } + + public void testFindFileSet_skipsEmptyFiles_returnsNull() { + WriterFileSet empty = new WriterFileSet("/tmp/pq", 5L, Set.of(), 0, 0L); + DataformatAwareCatalogSnapshot snapshot = new DataformatAwareCatalogSnapshot( + 1L, + 1L, + 1L, + List.of(new Segment(5L, Map.of("parquet", empty))), + 0L, + Map.of() + ); + assertNull(snapshot.findFileSet("parquet", 5L)); + } + // --- helpers --- private WriterFileSet randomWriterFileSet(String format) { diff --git a/server/src/test/java/org/opensearch/index/get/DocumentLookupResultTests.java b/server/src/test/java/org/opensearch/index/get/DocumentLookupResultTests.java new file mode 100644 index 0000000000000..7a77e25959cef --- /dev/null +++ b/server/src/test/java/org/opensearch/index/get/DocumentLookupResultTests.java @@ -0,0 +1,68 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.get; + +import org.opensearch.common.lucene.uid.Versions; +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.index.engine.Engine; +import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.Map; + +public class DocumentLookupResultTests extends OpenSearchTestCase { + + public void testNotFound() { + DocumentLookupResult r = DocumentLookupResult.notFound("x"); + assertFalse(r.exists()); + assertEquals("x", r.id()); + assertEquals(Versions.NOT_FOUND, r.version()); + assertEquals(SequenceNumbers.UNASSIGNED_SEQ_NO, r.seqNo()); + assertEquals(SequenceNumbers.UNASSIGNED_PRIMARY_TERM, r.primaryTerm()); + assertNull(r.source()); + assertTrue(r.documentFields().isEmpty()); + assertTrue(r.metadataFields().isEmpty()); + } + + public void testNullFieldMapsNormalizedToEmpty() { + DocumentLookupResult r = new DocumentLookupResult("1", 1L, true, null, 0L, 1L, null, null); + assertNotNull(r.documentFields()); + assertNotNull(r.metadataFields()); + assertTrue(r.documentFields().isEmpty()); + assertTrue(r.metadataFields().isEmpty()); + } + + public void testEqualsAndHashCode() { + BytesReference src = new BytesArray("{\"f\":1}"); + DocumentLookupResult a = new DocumentLookupResult("1", 2L, true, src, 3L, 1L, Map.of(), Map.of()); + DocumentLookupResult b = new DocumentLookupResult("1", 2L, true, new BytesArray("{\"f\":1}"), 3L, 1L, Map.of(), Map.of()); + assertEquals(a, b); + assertEquals(a.hashCode(), b.hashCode()); + + DocumentLookupResult differentVersion = new DocumentLookupResult("1", 9L, true, src, 3L, 1L, Map.of(), Map.of()); + assertNotEquals(a, differentVersion); + } + + public void testPreMaterializedShape() { + DocumentLookupResult r = new DocumentLookupResult("1", 5L, true, null, 7L, 2L, Map.of(), Map.of()); + Engine.GetResult gr = r.toGetResult(); + + assertTrue(gr instanceof DocumentLookupResult.PreMaterialized); + assertTrue(gr.exists()); + assertEquals(5L, gr.version()); + assertSame(r, ((DocumentLookupResult.PreMaterialized) gr).lookup()); + + // PreMaterialized has no Lucene searcher/docId — these must fail fast, not be dereferenced. + expectThrows(UnsupportedOperationException.class, gr::searcher); + expectThrows(UnsupportedOperationException.class, gr::docIdAndVersion); + + gr.close(); // no-op, must not throw + } +} diff --git a/server/src/test/java/org/opensearch/index/shard/ShardGetServiceTests.java b/server/src/test/java/org/opensearch/index/shard/ShardGetServiceTests.java index e261a244742cc..97fa0cfc7253b 100644 --- a/server/src/test/java/org/opensearch/index/shard/ShardGetServiceTests.java +++ b/server/src/test/java/org/opensearch/index/shard/ShardGetServiceTests.java @@ -33,19 +33,28 @@ import org.opensearch.Version; import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.SuppressForbidden; +import org.opensearch.common.document.DocumentField; import org.opensearch.common.settings.Settings; +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; import org.opensearch.core.index.shard.ShardId; import org.opensearch.core.xcontent.MediaTypeRegistry; import org.opensearch.index.VersionType; import org.opensearch.index.engine.Engine; import org.opensearch.index.engine.VersionConflictEngineException; +import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.index.get.GetResult; +import org.opensearch.index.get.ShardGetService; import org.opensearch.index.mapper.MapperService; import org.opensearch.index.mapper.RoutingFieldMapper; import org.opensearch.search.fetch.subphase.FetchSourceContext; import java.io.IOException; +import java.lang.reflect.Method; import java.nio.charset.StandardCharsets; +import java.util.Collections; +import java.util.Map; import static org.opensearch.index.seqno.SequenceNumbers.UNASSIGNED_PRIMARY_TERM; import static org.opensearch.index.seqno.SequenceNumbers.UNASSIGNED_SEQ_NO; @@ -217,4 +226,55 @@ public void testTypelessGetForUpdate() throws IOException { closeShards(shard); } + + @SuppressForbidden(reason = "reflective access to test private buildFromLookup method") + public void testBuildFromLookupSourceFiltering() throws Exception { + Settings settings = Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .build(); + IndexMetadata metadata = IndexMetadata.builder("test") + .putMapping("{ \"properties\": { \"foo\": { \"type\": \"text\"}}}") + .settings(settings) + .primaryTerm(0, 1) + .build(); + IndexShard primary = newShard(new ShardId(metadata.getIndex(), 0), true, "n1", metadata, null); + recoverShardFromStore(primary); + + ShardGetService getService = primary.getService(); + Method buildFromLookup = ShardGetService.class.getDeclaredMethod( + "buildFromLookup", + DocumentLookupResult.class, + FetchSourceContext.class + ); + buildFromLookup.setAccessible(true); + + BytesReference source = new BytesArray("{\"foo\":\"bar\",\"baz\":\"qux\"}"); + DocumentField docField = new DocumentField("foo", Collections.singletonList("bar")); + DocumentLookupResult lookup = new DocumentLookupResult("1", 3L, true, source, 5L, 1L, Map.of("foo", docField), Map.of()); + + // Case 1: FETCH_SOURCE — source passes through unfiltered + GetResult result = (GetResult) buildFromLookup.invoke(getService, lookup, FetchSourceContext.FETCH_SOURCE); + assertTrue(result.isExists()); + assertEquals("1", result.getId()); + assertEquals(3L, result.getVersion()); + assertEquals(5L, result.getSeqNo()); + assertEquals(1L, result.getPrimaryTerm()); + assertEquals("{\"foo\":\"bar\",\"baz\":\"qux\"}", new String(result.source(), StandardCharsets.UTF_8)); + assertEquals("bar", result.getFields().get("foo").getValue()); + + // Case 2: DO_NOT_FETCH_SOURCE — source is null + GetResult noSourceResult = (GetResult) buildFromLookup.invoke(getService, lookup, FetchSourceContext.DO_NOT_FETCH_SOURCE); + assertNull(noSourceResult.source()); + assertTrue(noSourceResult.isExists()); + assertEquals("1", noSourceResult.getId()); + + // Case 3: includes filter — only matching fields in source + FetchSourceContext includesOnly = new FetchSourceContext(true, new String[] { "foo" }, new String[0]); + GetResult filteredResult = (GetResult) buildFromLookup.invoke(getService, lookup, includesOnly); + assertEquals("{\"foo\":\"bar\"}", new String(filteredResult.source(), StandardCharsets.UTF_8)); + + closeShards(primary); + } } diff --git a/server/src/test/java/org/opensearch/plugins/DocumentLookupProviderTests.java b/server/src/test/java/org/opensearch/plugins/DocumentLookupProviderTests.java new file mode 100644 index 0000000000000..593f60e6201cf --- /dev/null +++ b/server/src/test/java/org/opensearch/plugins/DocumentLookupProviderTests.java @@ -0,0 +1,34 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.plugins; + +import org.opensearch.core.index.Index; +import org.opensearch.index.engine.exec.DocumentMetadataResolver; +import org.opensearch.index.get.DocumentLookupResult; +import org.opensearch.test.OpenSearchTestCase; + +import java.io.IOException; + +public class DocumentLookupProviderTests extends OpenSearchTestCase { + + private static final Index INDEX = new Index("idx", "uuid"); + + /** A provider that overrides only the abstract getById; getVersionMetadata/getDocsAboveSeqNo use the SPI defaults. */ + private static final DocumentLookupProvider DEFAULTS = (get, reader, index, resolver) -> DocumentLookupResult.notFound("x"); + + public void testGetVersionMetadataDefaultsToNotFound() throws IOException { + DocumentLookupResult result = DEFAULTS.getVersionMetadata("id", null, INDEX, DocumentMetadataResolver.NOOP); + assertFalse(result.exists()); + assertEquals("id", result.id()); + } + + public void testGetDocsAboveSeqNoDefaultsToEmpty() throws IOException { + assertTrue(DEFAULTS.getDocsAboveSeqNo(0L, null, INDEX, DocumentMetadataResolver.NOOP).isEmpty()); + } +} From 78530346e5c3a2d013a4fe7b5ac22d50ffff8c7c Mon Sep 17 00:00:00 2001 From: Marc Handalian Date: Sat, 20 Jun 2026 14:45:53 -0700 Subject: [PATCH 16/94] Fix Flight/transport response leaks on abnormal exit (#22249) Two leaks on the streaming-transport response path, each unit-tested (fails without the fix, passes with it): - FlightTransportResponse: close() racing the async prefetch could miss the stream the prefetch publishes, stranding the prefetched first-batch root. Set closed first and have the prefetch self-close on that flag. Test: FlightTransportResponseTests. - AnalyticsSearchTransportService: on an abnormal exit (consumer throw or stage failure), cancel() the flight stream instead of close() so the data-node producer tears down its FlightServerChannel rather than stranding its streamRoot. Test: AnalyticsSearchTransportServiceTests. Signed-off-by: Marc Handalian --- .../transport/FlightTransportResponse.java | 18 ++- .../FlightTransportResponseTests.java | 147 ++++++++++++++++++ .../exec/AnalyticsSearchTransportService.java | 25 ++- .../AnalyticsSearchTransportServiceTests.java | 8 +- 4 files changed, 192 insertions(+), 6 deletions(-) diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java index 5587f13c073f5..80f80855ed415 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java @@ -105,6 +105,13 @@ void openAndPrefetchAsync(CompletableFuture

future) { future.completeExceptionally(FlightErrorMapper.fromFlightException(e)); } catch (Exception e) { future.completeExceptionally(new StreamException(StreamErrorCode.INTERNAL, "Stream open/prefetch failed", e)); + } finally { + // If close() ran while we were opening/prefetching, it may have missed the stream + // we just published. Re-close here so the prefetched first-batch root is released + // (FlightStream.close() is idempotent). + if (closed) { + closeStreamQuietly(); + } } }); } @@ -187,11 +194,18 @@ public void cancel(String reason, Throwable cause) { @Override public void close() { if (closed) return; + // Set closed=true before closing so a prefetch still in flight re-checks it and self-closes + // the stream it publishes (covers close() racing ahead of flightStream being set). closed = true; + closeStreamQuietly(); + } - if (flightStream != null) { + /** Closes the flight stream if present, swallowing the benign already-closed error. Idempotent. */ + private void closeStreamQuietly() { + FlightStream stream = flightStream; + if (stream != null) { try { - flightStream.close(); + stream.close(); } catch (IllegalStateException ignore) {} catch (Exception e) { throw new StreamException(StreamErrorCode.INTERNAL, "Error closing flight stream", e); } diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java index 07b720c0cf2a0..f72f81934e29c 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java @@ -8,18 +8,37 @@ package org.opensearch.arrow.flight.transport; +import org.apache.arrow.flight.FlightClient; +import org.apache.arrow.flight.FlightStream; +import org.apache.arrow.flight.Ticket; import org.apache.arrow.memory.ArrowBuf; import org.apache.arrow.memory.RootAllocator; import org.opensearch.arrow.transport.ArrowBatchResponse; import org.opensearch.arrow.transport.ArrowBatchResponseHandler; +import org.opensearch.core.common.io.stream.NamedWriteableRegistry; import org.opensearch.core.transport.TransportResponse; import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.transport.Header; import org.opensearch.transport.StreamTransportResponseHandler; import org.opensearch.transport.TransportException; import org.opensearch.transport.TransportResponseHandler; +import org.opensearch.transport.stream.StreamException; import java.io.IOException; import java.nio.charset.StandardCharsets; +import java.util.List; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.CountDownLatch; +import java.util.concurrent.TimeUnit; + +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.Mockito.doThrow; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.never; +import static org.mockito.Mockito.timeout; +import static org.mockito.Mockito.times; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; public class FlightTransportResponseTests extends OpenSearchTestCase { @@ -45,6 +64,134 @@ public void testRealMetricsTrackingWrapperForwards() { assertTrue(wrapped.skipsDeserialization()); } + // ── close() / prefetch-race stream lifecycle ───────────────────────────── + + /** + * Builds a response wired to the given client. Uses package-private collaborators + * directly (the test lives in the same package). + */ + private FlightTransportResponse newResponse(FlightClient client, HeaderContext headerContext) { + return new FlightTransportResponse<>( + new TestArrowHandler(), + 1L, + client, + headerContext, + new Ticket(new byte[0]), + new NamedWriteableRegistry(List.of()), + new FlightTransportConfig() + ); + } + + /** Normal path: once the stream is published, close() closes it. */ + public void testCloseClosesPublishedStream() throws Exception { + FlightClient client = mock(FlightClient.class); + FlightStream stream = mock(FlightStream.class); + when(client.getStream(any(Ticket.class), any())).thenReturn(stream); + when(stream.next()).thenReturn(true); + + FlightTransportResponse response = newResponse(client, new HeaderContext()); + CompletableFuture
future = new CompletableFuture<>(); + response.openAndPrefetchAsync(future); + future.get(5, TimeUnit.SECONDS); // prefetch finished → flightStream published + + response.close(); + // close() ran after publish; the finally in the prefetch saw closed=false, so close() owns the close. + verify(stream, timeout(5_000).atLeastOnce()).close(); + } + + /** + * The race the fix targets: close() runs while the prefetch thread is still inside getStream(), + * so close() sees flightStream==null and closes nothing. When the prefetch then publishes the + * stream, its finally block must self-close it (closed already true) so the first-batch root is + * not stranded on the client allocator. + */ + public void testCloseDuringPrefetchSelfClosesStream() throws Exception { + FlightStream stream = mock(FlightStream.class); + when(stream.next()).thenReturn(true); + + CountDownLatch enteredGetStream = new CountDownLatch(1); + CountDownLatch proceed = new CountDownLatch(1); + FlightClient client = mock(FlightClient.class); + when(client.getStream(any(Ticket.class), any())).thenAnswer(inv -> { + enteredGetStream.countDown(); + assertTrue("test must release getStream", proceed.await(5, TimeUnit.SECONDS)); + return stream; + }); + + FlightTransportResponse response = newResponse(client, new HeaderContext()); + CompletableFuture
future = new CompletableFuture<>(); + response.openAndPrefetchAsync(future); + + // Prefetch thread is parked inside getStream(); flightStream is still null. + assertTrue(enteredGetStream.await(5, TimeUnit.SECONDS)); + response.close(); // sees flightStream==null → closes nothing itself + verify(stream, never()).close(); + + // Let the prefetch publish the stream; its finally must self-close it. + proceed.countDown(); + verify(stream, timeout(5_000)).close(); + } + + /** close() before any prefetch has a null stream — must be a no-op, no NPE. */ + public void testCloseBeforePrefetchIsNoOp() { + FlightClient client = mock(FlightClient.class); + FlightTransportResponse response = newResponse(client, new HeaderContext()); + response.close(); // no stream yet + // A second close is still safe. + response.close(); + } + + /** close() is idempotent: a second call short-circuits and does not re-close the stream. */ + public void testCloseIsIdempotent() throws Exception { + FlightClient client = mock(FlightClient.class); + FlightStream stream = mock(FlightStream.class); + when(client.getStream(any(Ticket.class), any())).thenReturn(stream); + when(stream.next()).thenReturn(true); + + FlightTransportResponse response = newResponse(client, new HeaderContext()); + CompletableFuture
future = new CompletableFuture<>(); + response.openAndPrefetchAsync(future); + future.get(5, TimeUnit.SECONDS); + + response.close(); + response.close(); + response.close(); + // The prefetch finally saw closed=false (publish happened first), so only the first close() closes. + verify(stream, times(1)).close(); + } + + /** A benign already-closed error from the stream is swallowed. */ + public void testCloseSwallowsAlreadyClosedError() throws Exception { + FlightClient client = mock(FlightClient.class); + FlightStream stream = mock(FlightStream.class); + when(client.getStream(any(Ticket.class), any())).thenReturn(stream); + when(stream.next()).thenReturn(true); + doThrow(new IllegalStateException("already closed")).when(stream).close(); + + FlightTransportResponse response = newResponse(client, new HeaderContext()); + CompletableFuture
future = new CompletableFuture<>(); + response.openAndPrefetchAsync(future); + future.get(5, TimeUnit.SECONDS); + + response.close(); // must not propagate the IllegalStateException + } + + /** An unexpected error from the stream is wrapped as a StreamException. */ + public void testCloseRethrowsUnexpectedErrorAsStreamException() throws Exception { + FlightClient client = mock(FlightClient.class); + FlightStream stream = mock(FlightStream.class); + when(client.getStream(any(Ticket.class), any())).thenReturn(stream); + when(stream.next()).thenReturn(true); + doThrow(new RuntimeException("boom")).when(stream).close(); + + FlightTransportResponse response = newResponse(client, new HeaderContext()); + CompletableFuture
future = new CompletableFuture<>(); + response.openAndPrefetchAsync(future); + future.get(5, TimeUnit.SECONDS); + + expectThrows(StreamException.class, response::close); + } + public void testCopyMetadataNullBuffer() { assertNull(FlightTransportResponse.copyMetadata(null)); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java index aca076b796d38..f03e90c4be41e 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java @@ -288,6 +288,9 @@ public void handleStreamResponse(StreamTransportResponse Date: Sat, 20 Jun 2026 15:54:39 -0700 Subject: [PATCH 17/94] [Sandbox] Fix coordinator cancel-teardown leaks in analytics-engine (#22247) * Fix coordinator cancel-teardown leaks in analytics-engine Two coordinator-side teardown leaks, each unit-tested (fails without the fix, passes with it): - StageExecution cascade: on a CANCELLED child, close the parent's input for that child so a COORDINATOR_REDUCE drain blocked on streamNext sees EOF and unwinds. Without this the reduce thread hangs and its borrowed batches are stranded (a mid-flight shard scan cancelled never EOFs its sender). Cancel is still not propagated to the parent's state. Test: AttachChildrenTests. - RowProducingSink: a feed() racing close() frees the batch instead of buffering it (close already freed the list and won't run again). Test: RowProducingSinkTests. Also defaults analytics.coordinator.buffer_limit to 0 (no per-query child allocator). Signed-off-by: Marc Handalian * add todo Signed-off-by: Marc Handalian --------- Signed-off-by: Marc Handalian --- .../opensearch/analytics/AnalyticsPlugin.java | 4 +++- .../analytics/exec/RowProducingSink.java | 11 ++++++++++ .../analytics/exec/stage/StageExecution.java | 13 +++++++++--- .../analytics/exec/RowProducingSinkTests.java | 20 +++++++++++++++++++ .../exec/stage/AttachChildrenTests.java | 12 ++++++----- 5 files changed, 51 insertions(+), 9 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java index 4a64ea9e16e54..cf5dd7ea174d0 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java @@ -99,9 +99,11 @@ public class AnalyticsPlugin extends Plugin implements ExtensiblePlugin, ActionP private static final int REDUCE_POOL_SIZE = Math.max(8, Runtime.getRuntime().availableProcessors() * 4); private static final int REDUCE_QUEUE_SIZE = 200; + // Per-query coordinator allocator cap in bytes. 0 (default) → no per-query child allocator; + // queries share the coordinator allocator with no per-query cap. public static final Setting COORDINATOR_BUFFER_LIMIT = Setting.longSetting( "analytics.coordinator.buffer_limit", - 256L * 1024 * 1024, + 0L, 0L, Setting.Property.NodeScope, Setting.Property.Dynamic diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/RowProducingSink.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/RowProducingSink.java index 939e01feae944..b473139ee39f1 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/RowProducingSink.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/RowProducingSink.java @@ -39,6 +39,9 @@ * {@code QueryPhaseResultConsumer} for coordinator-reduce in the core * search path. */ +// TODO: refactor this push-based flow — it's brittle with multiple failure points (feed racing +// close, partial buffering on early exit). Revisit the locking as part of that (e.g. tryLock with +// timeout); the current single-monitor synchronization is correct but worth reconsidering then. public class RowProducingSink implements ExchangeSink, ExchangeSource { /** @@ -54,6 +57,8 @@ public class RowProducingSink implements ExchangeSink, ExchangeSource { private final List fieldNames = new ArrayList<>(); private final long maxRows; private long totalRows; + /** Set by {@link #close}; a {@link #feed} after this frees the batch instead of buffering it. */ + private boolean closed; /** * Creates a sink with the default row limit. @@ -71,6 +76,11 @@ public RowProducingSink(long maxRows) { @Override public synchronized void feed(VectorSchemaRoot batch) { + // Feed racing close(): buffering now would strand the batch, so free it here instead. + if (closed) { + batch.close(); + return; + } if (fieldNames.isEmpty() && batch.getSchema().getFields().isEmpty() == false) { for (Field f : batch.getSchema().getFields()) { fieldNames.add(f.getName()); @@ -93,6 +103,7 @@ public synchronized void feed(VectorSchemaRoot batch) { */ @Override public synchronized void close() { + closed = true; for (VectorSchemaRoot batch : batches) { batch.close(); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java index 750dc5ff62944..50e8aa3b555d4 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java @@ -138,8 +138,10 @@ default void closeChildInput(int childStageId) {} * no per-child resources); decrements a counter; on zero, collects * {@link #publishedMetadata} from each child and hands off via {@link #consumeChildMetadata}; * default-mode parents are scheduled here (eager parents already scheduled). - *
  • FAILED — propagates via {@link #failWithCause}. - *
  • CANCELLED — intentionally not propagated (cancel initiator owns the parent's lifecycle). + *
  • FAILED — invokes {@link #closeChildInput} then propagates via {@link #failWithCause}. + *
  • CANCELLED — invokes {@link #closeChildInput} (so a parent reduce drain sees EOF and + * unwinds) but does NOT propagate cancel to the parent's state (the cancel initiator owns the + * parent's lifecycle). * * *

    Parent→sibling cancel sweep: on FAILED / CANCELLED, sweep still-running children. @@ -189,8 +191,13 @@ default void attachChildren(List children, Consumer + // Close this parent's input for the cancelled child so a parent reduce drain + // blocked on streamNext sees EOF and unwinds. Cancel is not propagated to the + // parent's state (it stays owner-driven). + closeChildInput(childId); default -> { - } // CANCELLED intentionally not propagated + } } }); } diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/RowProducingSinkTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/RowProducingSinkTests.java index 90b5183f8eafd..85a0ff6157d1e 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/RowProducingSinkTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/RowProducingSinkTests.java @@ -203,6 +203,26 @@ public void testUnlimitedSinkRetainsAllBatches() { sink.close(); } + // ─── Feed racing close (leak fix) ──────────────────────────────────── + + /** + * A {@code feed} after {@code close} must free the batch immediately rather than buffer it + * (close already cleared the list and will not run again, so a buffered batch would leak). + */ + public void testFeedAfterCloseClosesBatchAndDoesNotBuffer() { + RowProducingSink sink = new RowProducingSink(); + sink.close(); + + VectorSchemaRoot late = makeVsr(List.of("id"), new Object[][] { { "1" } }); + assertTrue("batch holds buffers before the late feed", allocator.getAllocatedMemory() > 0); + + sink.feed(late); + + assertEquals("late batch must be closed, not buffered", 0, allocator.getAllocatedMemory()); + assertEquals("late batch must not count toward rows", 0, sink.getRowCount()); + assertFalse("nothing retained from a post-close feed", sink.readResult().iterator().hasNext()); + } + // ─── Helpers ──────────────────────────────────────────────────────── private VectorSchemaRoot makeVsr(List fieldNames, Object[][] rows) { diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java index 8713f4d128213..f8182b7617ffd 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java @@ -92,12 +92,11 @@ public void testFailedChildPropagatesDirectlyToParent() { } /** - * Early-termination contract: when a parent cancels its own child (e.g. coordinator-side - * LIMIT satisfied, stop the shard stream), the child transitions to CANCELLED. The - * cascade must NOT propagate that cancel back to the parent — the parent is the one - * who issued the cancel and must stay RUNNING. + * Cancelled-child contract: the cascade must close the parent's per-child input (so a parent + * reduce drain blocked on {@code streamNext} sees EOF and unwinds) but must NOT propagate cancel + * to the parent's state or schedule it. */ - public void testCancelledChildIsNotPropagatedToParent() { + public void testCancelledChildClosesInputButDoesNotPropagateToParent() { StageExecution parent = mock(StageExecution.class, CALLS_REAL_METHODS); FakeChild cancelled = new FakeChild(5); // no failure recorded @@ -106,6 +105,9 @@ public void testCancelledChildIsNotPropagatedToParent() { parent.attachChildren(List.of(cancelled), scheduler); cancelled.fire(StageExecution.State.CANCELLED); + // EOF released to the reduce input (the leak fix). + verify(parent).closeChildInput(eq(5)); + // State is NOT propagated and the parent is NOT scheduled. verify(parent, never()).cancel(any()); verify(parent, never()).failWithCause(any()); verify(parent, never()).consumeChildMetadata(any()); From c73dc2e07473201fa8faf141374775585a694a51 Mon Sep 17 00:00:00 2001 From: Marc Handalian Date: Sat, 20 Jun 2026 22:06:44 -0700 Subject: [PATCH 18/94] Wire cooperative cancellation into the reduce and QTF fetch native streams (#22248) --- .../spi/AnalyticsSearchBackendPlugin.java | 9 ++ .../rust/src/api.rs | 18 ++- .../rust/src/cross_rt_stream.rs | 112 ++++++++++++++++-- .../rust/src/indexed_executor.rs | 4 +- .../rust/src/query_executor.rs | 31 +++-- .../rust/src/query_tracker.rs | 4 +- .../DataFusionAnalyticsBackendPlugin.java | 9 ++ .../exec/AnalyticsSearchService.java | 8 +- 8 files changed, 165 insertions(+), 30 deletions(-) diff --git a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/AnalyticsSearchBackendPlugin.java b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/AnalyticsSearchBackendPlugin.java index adaf425215e3d..ae426598b1cea 100644 --- a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/AnalyticsSearchBackendPlugin.java +++ b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/AnalyticsSearchBackendPlugin.java @@ -167,6 +167,15 @@ default EngineResultStream fetchByRowIds( throw new UnsupportedOperationException("fetchByRowIds not implemented for [" + name() + "]"); } + /** + * Cooperatively cancels in-flight backend work for {@code contextId} (e.g. fire the per-context + * cancellation token). Called from a task cancellation listener for the fetch path, which — + * unlike the query path's {@code SearchExecEngine} — returns an opaque {@link EngineResultStream}. + * Implementations must signal the native execution to unwind, not close the stream cross-thread + * (that races the in-flight pull). No-op for an unknown {@code contextId}; default no-op. + */ + default void cancelByContext(long contextId) {} + /** * Converts a backend-specific exception into an appropriate OpenSearch exception type. * diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 07bbf639f747c..173d6e3137e59 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -1826,11 +1826,10 @@ pub async unsafe fn execute_local_plan( // drain this handle unchanged. Use the cancellable variant so the CPU // task can be aborted mid-execution when cancel_query fires. let cpu_exec = manager.cpu_executor(); - let (cross_rt_stream, abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone()); - if let Some(h) = abort_handle { - query_tracker::set_abort_handle(context_id, h); - } + let (cross_rt_stream, _abort_handle, task_done) = + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone(), token.clone()); + // Reduce path: cancel via the token only, do NOT register the abort handle — an abort() mid-send + // would skip the cross_rt drop+drain cleanup and leak the aggregate's in-flight GroupValues. if let Some(rt) = cpu_exec.handle() { query_tracker::set_cpu_runtime_handle(context_id, rt); } @@ -1866,6 +1865,7 @@ pub unsafe fn execute_local_prepared_plan( // The token is held via the QueryStreamHandle's context and consulted by // stream_next on each batch pull. let query_context = QueryTrackingContext::new(context_id, session.memory_pool(), query_tracker::QueryType::Coordinator); + let token = query_tracker::get_cancellation_token(context_id); // DataFusion's execute_stream is sync, but kicks off RepartitionExec / // stream channels that require a Tokio reactor. Enter the IO runtime's @@ -1874,11 +1874,9 @@ pub unsafe fn execute_local_prepared_plan( let df_stream = session.execute_prepared()?; let cpu_exec = manager.cpu_executor(); - let (cross_rt_stream, abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone()); - if let Some(h) = abort_handle { - query_tracker::set_abort_handle(context_id, h); - } + let (cross_rt_stream, _abort_handle, task_done) = + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone(), token.clone()); + // Prepared-reduce path: same as execute_local_plan — token-only cancel, no abort handle. if let Some(rt) = cpu_exec.handle() { query_tracker::set_cpu_runtime_handle(context_id, rt); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs index 87d685c22a737..08549997a8021 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs @@ -23,6 +23,7 @@ use tokio::sync::mpsc::{channel, Sender}; use tokio::sync::oneshot; use tokio::task::AbortHandle; use tokio_stream::wrappers::ReceiverStream; +use tokio_util::sync::CancellationToken; /// Fires its `oneshot` when dropped. Held inside the spawned task body so the signal is sent on /// every exit path (drain, error, abort-unwind, panic). @@ -72,16 +73,21 @@ impl CrossRtStream { stream: SendableRecordBatchStream, exec: DedicatedExecutor, ) -> Self { - let (cross_rt, _abort_handle, _done_rx) = Self::new_with_df_error_stream_cancellable(stream, exec); + let (cross_rt, _abort_handle, _done_rx) = Self::new_with_df_error_stream_cancellable(stream, exec, None); cross_rt } /// Like [`new_with_df_error_stream`](Self::new_with_df_error_stream), but also returns an /// [`AbortHandle`] and a `oneshot::Receiver` that fires once the spawned task has fully dropped /// (completion or abort) — the barrier `stream_close` waits on before the allocator closes. + /// + /// When `cancel_token` is supplied, cancel is cooperative: the producer breaks on the token and + /// runs the drop(stream)+drain cleanup, instead of an abort() mid-send that skips it. Callers + /// that pass `None` are unchanged. pub fn new_with_df_error_stream_cancellable( stream: SendableRecordBatchStream, exec: DedicatedExecutor, + cancel_token: Option, ) -> (Self, Option, oneshot::Receiver<()>) { let schema = stream.schema(); let (tx, rx) = channel(1); @@ -90,12 +96,32 @@ impl CrossRtStream { let fut = async move { let _done = DoneGuard(Some(done_tx)); - tokio::pin!(stream); - while let Some(res) = stream.next().await { - if tx_captured.send(res).await.is_err() { - return; + let mut stream = Box::pin(stream); + // Cooperative cancel: select each await against the token so a cancel breaks the loop + // and falls through to the drop(stream)+drain below, rather than an abort() mid-send. + loop { + let next = tokio::select! { + biased; + _ = async { match &cancel_token { Some(t) => t.cancelled().await, None => std::future::pending::<()>().await } } => break, + n = stream.next() => n, + }; + let res = match next { + Some(r) => r, + None => break, + }; + let sent = tokio::select! { + biased; + _ = async { match &cancel_token { Some(t) => t.cancelled().await, None => std::future::pending::<()>().await } } => break, + r = tx_captured.send(res) => r, + }; + if sent.is_err() { + break; } } + // Drop the inner stream while this future is still polled — frees the aggregate's own + // GroupValues and schedules its child producer tasks for abort. The remaining deferred + // child drops are reaped by stream_close (it waits on task_done, then flush_cpu_runtime). + drop(stream); }; let (abort_handle, join_fut) = exec.spawn_with_abort_handle(fut); @@ -296,7 +322,7 @@ mod tests { stream::iter(vec![Ok(test_batch(&[1, 2, 3]))]), )); - let (cross, _abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone()); + let (cross, _abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); let wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); tokio::pin!(wrapped); while wrapped.next().await.is_some() {} @@ -315,7 +341,7 @@ mod tests { stream::pending::>(), )); - let (cross, abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone()); + let (cross, abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); // Hold the stream so the abort, not a drop, is what ends the task. let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); @@ -325,4 +351,76 @@ mod tests { assert!(fired.is_ok(), "done_rx must fire after the task is aborted"); exec.join_blocking(); } + + // Firing the token breaks the loop and fires done_rx without an abort(), so the producer runs + // its drop+drain cleanup that frees the aggregate's GroupValues. + #[tokio::test] + async fn cancellation_token_breaks_loop_and_fires_done_rx() { + let exec = test_exec(); + let schema = test_schema(); + // Never-ending stream: the only way the task ends is the cooperative cancel. + let inner = Box::pin(RecordBatchStreamAdapter::new( + schema.clone(), + stream::pending::>(), + )); + + let token = CancellationToken::new(); + let (cross, _abort, done_rx) = + CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), Some(token.clone())); + // Hold the stream so a consumer-side drop is NOT what ends the task — the token is. + let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); + + token.cancel(); + + let fired = tokio::time::timeout(std::time::Duration::from_secs(5), done_rx).await; + assert!(fired.is_ok(), "cancelling the token must break the loop and fire done_rx"); + assert!(fired.unwrap().is_ok(), "done_rx must complete, not be dropped"); + exec.join_blocking(); + } + + // A token that is never fired must not perturb the normal drain path: the stream completes and + // all its batches are delivered. + #[tokio::test] + async fn uncancelled_token_drains_normally() { + let exec = test_exec(); + let schema = test_schema(); + let batches = vec![Ok(test_batch(&[1, 2, 3])), Ok(test_batch(&[4, 5]))]; + let inner = Box::pin(RecordBatchStreamAdapter::new(schema.clone(), stream::iter(batches))); + + let token = CancellationToken::new(); // never cancelled + let (cross, _abort, done_rx) = + CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), Some(token)); + let wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); + tokio::pin!(wrapped); + + let mut total_rows = 0; + while let Some(batch) = wrapped.next().await { + total_rows += batch.unwrap().num_rows(); + } + assert_eq!(total_rows, 5, "all rows delivered when the token is never fired"); + assert!(done_rx.await.is_ok(), "done_rx fires on normal drain even with a token present"); + exec.join_blocking(); + } + + // Cancelling BEFORE the first poll still terminates cleanly (the biased select checks the token + // first), exercising the immediate-cancel race. + #[tokio::test] + async fn cancel_before_first_poll_terminates() { + let exec = test_exec(); + let schema = test_schema(); + let inner = Box::pin(RecordBatchStreamAdapter::new( + schema.clone(), + stream::pending::>(), + )); + + let token = CancellationToken::new(); + token.cancel(); // already cancelled before the task runs + let (cross, _abort, done_rx) = + CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), Some(token)); + let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); + + let fired = tokio::time::timeout(std::time::Duration::from_secs(5), done_rx).await; + assert!(fired.is_ok(), "a pre-cancelled token must still terminate the task"); + exec.join_blocking(); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index 09a691d7fbeda..1aa8fda126289 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -745,7 +745,7 @@ async unsafe fn execute_indexed_with_context_inner( let empty_exec = EmptyExec::new(Arc::clone(&plan_schema)); let df_stream = empty_exec.execute(0, handle.ctx.task_ctx())?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id_early, h); } @@ -1240,7 +1240,7 @@ async unsafe fn execute_indexed_with_context_inner( .map_err(|e| DataFusionError::Execution(format!("execute_stream: {}", e)))?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs index c34a6162db3dc..2eb3863b37dea 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs @@ -195,7 +195,7 @@ pub async fn execute_query( // Wrap in CrossRtStream — CPU work runs on DedicatedExecutor let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); @@ -352,7 +352,7 @@ pub async fn execute_with_context( e })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } @@ -392,7 +392,7 @@ pub async fn execute_with_context( })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } @@ -421,7 +421,7 @@ pub async fn execute_with_context( })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone()); + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); @@ -543,22 +543,35 @@ pub fn store_url_from_table_path(table_path: &ListingTableUrl) -> Result i64 { - let cross_rt_stream = CrossRtStream::new_with_df_error_stream(df_stream, cpu_executor); - let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( - cross_rt_stream.schema(), - cross_rt_stream, - ); + // Create the tracking context first so its cancellation token is registered before the task starts. let query_context = crate::query_tracker::QueryTrackingContext::new( context_id, runtime.runtime_env.memory_pool.clone(), crate::query_tracker::QueryType::Shard, ); + + let (cross_rt_stream, abort_handle, _task_done) = + CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); + if let Some(h) = abort_handle { + crate::query_tracker::set_abort_handle(context_id, h); + } + if let Some(rt) = cpu_executor.handle() { + crate::query_tracker::set_cpu_runtime_handle(context_id, rt); + } + + let wrapped = datafusion::physical_plan::stream::RecordBatchStreamAdapter::new( + cross_rt_stream.schema(), + cross_rt_stream, + ); let handle = crate::api::QueryStreamHandle::new(wrapped, query_context, None); Box::into_raw(Box::new(handle)) as i64 } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs index b1391963bacb6..c6b842639d1de 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs @@ -967,7 +967,9 @@ mod tests { } let global = make_global_pool(10_000); - let ctx_id = 70_001; + // Unique id: the QUERY_REGISTRY is process-wide and tests run in parallel, so this must not + // collide with any other test's id (70_001 collides with test_top_n_picks_highest_current_bytes). + let ctx_id = 80_001; let ctx = QueryTrackingContext::new(ctx_id, global, QueryType::Shard); // Build a dedicated executor with its own tokio runtime. diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionAnalyticsBackendPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionAnalyticsBackendPlugin.java index a3b04a5a632a1..6831e27bb06e2 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionAnalyticsBackendPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionAnalyticsBackendPlugin.java @@ -1022,6 +1022,15 @@ public EngineResultStream fetchByRowIds( return new DatafusionResultStream(streamHandle, allocator); } + @Override + public void cancelByContext(long contextId) { + // Fire the per-context cancellation token so the fetch stream's cross_rt task breaks + // cooperatively. No-op for an unknown contextId. + if (contextId != 0) { + NativeBridge.cancelQuery(contextId); + } + } + public Exception convertException(Exception original) { return NativeErrorConverter.convert(original); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java index 5b62f0aff7bfa..2da84ff3e8815 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java @@ -275,7 +275,8 @@ private void drainFetchByRowIds( AnalyticsShardTask task, StreamingFragmentResponseHandler responseHandler ) { - if (task != null && task.isCancelled()) { + assert task != null : "fetch on " + shard.shardId() + " requires a non-null AnalyticsShardTask"; + if (task.isCancelled()) { responseHandler.onFailure(new TaskCancelledException("Fetch task cancelled before execution: " + task.getReasonCancelled())); return; } @@ -354,6 +355,9 @@ private void drainFetchByRowIds( responseHandler.onFailure(new RuntimeException("Failed to execute fetch-by-row-ids on " + shard.shardId(), e)); return; } + // On cancel, release a fetch parked in the native pull via cooperative cancellation, not + // stream.close() (which would race the in-flight native pull). + task.setCancellationListener(() -> backend.cancelByContext(task.getId())); try (FragmentResources ctx = resources) { Iterator it = ctx.stream().iterator(); while (it.hasNext()) { @@ -362,6 +366,8 @@ private void drainFetchByRowIds( responseHandler.onComplete(); } catch (Exception e) { responseHandler.onFailure(e); + } finally { + task.clearCancellationListener(); } } From 106768ceb224cbace14b13b28b1e7b2f84de1d9a Mon Sep 17 00:00:00 2001 From: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> Date: Sun, 21 Jun 2026 13:07:07 +0530 Subject: [PATCH 19/94] [DFAE] Fix races between merge and force merge (#22250) Signed-off-by: Mohit Godwani --- .../be/lucene/merge/LuceneMerger.java | 23 +++- .../merge/CompositeMergeExecutor.java | 31 +++++- .../composite/merge/CompositeMergerTests.java | 76 +++++++++++++ .../index/engine/DataFormatAwareEngine.java | 2 + .../engine/dataformat/merge/MergeHandler.java | 28 ++++- .../dataformat/merge/MergeScheduler.java | 8 ++ .../exec/coord/CatalogSnapshotManager.java | 60 +++++++---- .../engine/DataFormatAwareEngineTests.java | 102 ++++++++++++++++++ .../dataformat/merge/MergeHandlerTests.java | 87 +++++++++++++++ .../dataformat/merge/MergeSchedulerTests.java | 60 +++++++++++ 10 files changed, 452 insertions(+), 25 deletions(-) diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/merge/LuceneMerger.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/merge/LuceneMerger.java index 4f951637b61e0..655975b3bd348 100644 --- a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/merge/LuceneMerger.java +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/merge/LuceneMerger.java @@ -119,8 +119,11 @@ public MergeResult merge(MergeInput mergeInput) throws IOException { } if (segmentInfos.size() == 0) { - logger.warn("No segments in IndexWriter — skipping merge"); - return new MergeResult(Map.of()); + throw new IOException( + "IndexWriter has no segments — cannot proceed with Lucene merge for generations " + + generationsToMerge + + ". This may indicate a concurrent commit cleared the segment list." + ); } List matchingSegments = findMatchingSegments(segmentInfos, generationsToMerge); @@ -133,6 +136,22 @@ public MergeResult merge(MergeInput mergeInput) throws IOException { ); } + if (matchingSegments.size() != generationsToMerge.size()) { + throw new IllegalStateException( + "Expected " + + generationsToMerge.size() + + " Lucene segments for generations " + + generationsToMerge + + " but found only " + + matchingSegments.size() + + ". Missing segments may have been consumed by a concurrent merge. " + + "Found generations: " + + matchingSegments.stream() + .map(sci -> sci.info.getAttribute(WRITER_GENERATION_ATTRIBUTE)) + .collect(java.util.stream.Collectors.toList()) + ); + } + logger.debug( "LuceneMerger: merging {} segments (generations {}) using merge(OneMerge) + IndexSort", matchingSegments.size(), diff --git a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMergeExecutor.java b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMergeExecutor.java index caf75785175db..d7b84da2fef08 100644 --- a/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMergeExecutor.java +++ b/sandbox/plugins/composite-engine/src/main/java/org/opensearch/composite/merge/CompositeMergeExecutor.java @@ -58,7 +58,36 @@ public MergeResult execute(MergePlan plan) { : null; for (DataFormat secondary : plan.secondaryFormats()) { - completed.add(mergeFormat(plan, secondary, mapping)); + FormatMergeResult secondaryResult = mergeFormat(plan, secondary, mapping); + // Verify secondary produced output when primary did + if (primaryResult.mergedFiles() != null && secondaryResult.mergedFiles() == null) { + throw new IllegalStateException( + "Primary format [" + + plan.primaryFormat().name() + + "] produced merged output but secondary format [" + + secondary.name() + + "] returned null — possible concurrent merge consumed segments" + ); + } + // Verify secondary merged row count matches primary + if (primaryResult.mergedFiles() != null && secondaryResult.mergedFiles() != null) { + long primaryRows = primaryResult.mergedFiles().numRows(); + long secondaryRows = secondaryResult.mergedFiles().numRows(); + if (primaryRows != secondaryRows) { + throw new IllegalStateException( + "Row count mismatch after merge: primary format [" + + plan.primaryFormat().name() + + "] has " + + primaryRows + + " rows but secondary format [" + + secondary.name() + + "] has " + + secondaryRows + + " rows" + ); + } + } + completed.add(secondaryResult); } return toMergeResult(completed, mapping); diff --git a/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java index 3cb370cadd171..fee013931652e 100644 --- a/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java +++ b/sandbox/plugins/composite-engine/src/test/java/org/opensearch/composite/merge/CompositeMergerTests.java @@ -21,6 +21,7 @@ import org.opensearch.index.engine.dataformat.DataFormat; import org.opensearch.index.engine.dataformat.FieldTypeCapabilities; import org.opensearch.index.engine.dataformat.IndexingExecutionEngine; +import org.opensearch.index.engine.dataformat.MergeInput; import org.opensearch.index.engine.dataformat.MergeResult; import org.opensearch.index.engine.dataformat.Merger; import org.opensearch.index.engine.dataformat.PackedRowIdMapping; @@ -643,4 +644,79 @@ private static CatalogSnapshot mockCatalogSnapshot(List segments) { when(snapshot.getSegments()).thenReturn(segments); return snapshot; } + + // ── Cross-format merge verification tests ── + + public void testExecutorThrowsWhenSecondaryReturnsNullButPrimaryHasOutput() throws IOException { + Merger primaryMerger = mock(Merger.class); + Merger secondaryMerger = mock(Merger.class); + + DataFormat primary = stubFormat("parquet", 0); + DataFormat secondary = stubFormat("lucene", 50); + + String dir = createTempDir().toString(); + WriterFileSet primaryFiles = new WriterFileSet(dir, 10L, Set.of("file.parquet"), 100, 1L); + + RowIdMapping mapping = mock(RowIdMapping.class); + when(mapping.size()).thenReturn(100); + + when(primaryMerger.merge(any(MergeInput.class))).thenReturn(new MergeResult(Map.of(primary, primaryFiles), mapping)); + when(secondaryMerger.merge(any(MergeInput.class))).thenReturn(new MergeResult(Map.of())); + + CompositeMergeExecutor executor = new CompositeMergeExecutor(Map.of(primary, primaryMerger, secondary, secondaryMerger)); + + WriterFileSet inputP = new WriterFileSet(createTempDir().toString(), 1L, Set.of("in.parquet"), 50, 1L); + WriterFileSet inputS = new WriterFileSet(createTempDir().toString(), 1L, Set.of("in.si"), 50, 1L); + + MergePlan plan = new MergePlan(10L, primary, List.of(secondary), Map.of(primary, List.of(inputP), secondary, List.of(inputS))); + + IllegalStateException ex = expectThrows(IllegalStateException.class, () -> executor.execute(plan)); + assertTrue(ex.getMessage().contains("returned null")); + } + + public void testExecutorThrowsOnRowCountMismatch() throws IOException { + Merger primaryMerger = mock(Merger.class); + Merger secondaryMerger = mock(Merger.class); + + DataFormat primary = stubFormat("parquet", 0); + DataFormat secondary = stubFormat("lucene", 50); + + WriterFileSet primaryFiles = new WriterFileSet(createTempDir().toString(), 10L, Set.of("file.parquet"), 100, 1L); + WriterFileSet secondaryFiles = new WriterFileSet(createTempDir().toString(), 10L, Set.of("file.si"), 90, 1L); + + RowIdMapping mapping = mock(RowIdMapping.class); + when(mapping.size()).thenReturn(100); + + when(primaryMerger.merge(any(MergeInput.class))).thenReturn(new MergeResult(Map.of(primary, primaryFiles), mapping)); + when(secondaryMerger.merge(any(MergeInput.class))).thenReturn(new MergeResult(Map.of(secondary, secondaryFiles))); + + CompositeMergeExecutor executor = new CompositeMergeExecutor(Map.of(primary, primaryMerger, secondary, secondaryMerger)); + + WriterFileSet inputP = new WriterFileSet(createTempDir().toString(), 1L, Set.of("in.parquet"), 50, 1L); + WriterFileSet inputS = new WriterFileSet(createTempDir().toString(), 1L, Set.of("in.si"), 50, 1L); + + MergePlan plan = new MergePlan(10L, primary, List.of(secondary), Map.of(primary, List.of(inputP), secondary, List.of(inputS))); + + IllegalStateException ex = expectThrows(IllegalStateException.class, () -> executor.execute(plan)); + assertTrue(ex.getMessage().contains("Row count mismatch")); + } + + private static DataFormat stubFormat(String name, long priority) { + return new DataFormat() { + @Override + public String name() { + return name; + } + + @Override + public long priority() { + return priority; + } + + @Override + public Set supportedFields() { + return Set.of(); + } + }; + } } diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index 5e00cbf561e34..a3188d076661a 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -2132,6 +2132,8 @@ private void closeNoLock(String reason) { : "Either the write lock must be held or the engine must be currently failing"; try { this.versionMap.clear(); + // Stop accepting new merges immediately + mergeScheduler.shutdown(); // Discard any pending segments not yet picked up by refresh pendingSegments.clear(); // Close any writers queued for deferred close (their files won't reach the catalog) diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeHandler.java b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeHandler.java index 52b54b8eb86be..69a6982de3505 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeHandler.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeHandler.java @@ -107,7 +107,22 @@ public Collection findForceMerges(int maxSegmentCount) { List segmentList = catalogSnapshotRef.get().getSegments(); List> mergeCandidates = mergePolicy.findForceMergeCandidates(segmentList, maxSegmentCount); for (List mergeGroup : mergeCandidates) { - oneMerges.add(new OneMerge(mergeGroup)); + boolean hasConflict = false; + synchronized (this) { + for (Segment seg : mergeGroup) { + if (currentlyMergingSegments.contains(seg)) { + hasConflict = true; + break; + } + } + if (!hasConflict) { + OneMerge oneMerge = new OneMerge(mergeGroup); + if (registerMerge(oneMerge, false)) { + oneMerges.add(oneMerge); + } + } + } + } } catch (Exception e) { logger.warn("Failed to acquire snapshots", e); @@ -142,21 +157,28 @@ public synchronized void findAndRegisterMerges() { * @param merge the merge to register */ public synchronized void registerMerge(OneMerge merge) { + registerMerge(merge, true); + } + + private synchronized boolean registerMerge(OneMerge merge, boolean addToPending) { try (GatedCloseable catalogSnapshotRef = snapshotSupplier.get()) { List catalogSegments = catalogSnapshotRef.get().getSegments(); for (Segment mergeSegment : merge.getSegmentsToMerge()) { if (!catalogSegments.contains(mergeSegment)) { - return; + return false; } } } catch (Exception e) { logger.warn("Failed to acquire snapshots", e); throw new RuntimeException(e); } - pendingMerges.add(merge); + if (addToPending) { // Skips this for force merges. Avoid 2 workers executing the merge. + pendingMerges.add(merge); + } currentlyMergingSegments.addAll(merge.getSegmentsToMerge()); mergeListener.addMergingSegment(merge.getSegmentsToMerge()); logger.debug(() -> new ParameterizedMessage("Registered merge [{}], pendingMerges: [{}]", merge, pendingMerges)); + return true; } /** diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java index 373547e43a970..2904cd9f541ab 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java @@ -155,8 +155,16 @@ public void forceMerge(int maxNumSegment) throws IOException { : "forceMerge must be called on FORCE_MERGE thread but was: " + Thread.currentThread().getName(); forceMergeLock.acquireUninterruptibly(); try { + if (isShutdown.get()) { + logger.debug("MergeScheduler is shutdown, skipping force merge"); + return; + } Collection oneMerges = mergeHandler.findForceMerges(maxNumSegment); for (OneMerge oneMerge : oneMerges) { + if (isShutdown.get()) { + logger.debug("MergeScheduler shutdown during force merge, aborting remaining merges"); + break; + } runMerge(oneMerge); } } finally { diff --git a/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshotManager.java b/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshotManager.java index 4fbafba64f54c..b1416e240b39f 100644 --- a/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshotManager.java +++ b/server/src/main/java/org/opensearch/index/engine/exec/coord/CatalogSnapshotManager.java @@ -33,6 +33,7 @@ import java.util.ArrayList; import java.util.HashSet; import java.util.List; +import java.util.Locale; import java.util.Map; import java.util.Set; import java.util.concurrent.ConcurrentHashMap; @@ -157,18 +158,38 @@ public synchronized Segment applyMergeResults(MergeResult mergeResult, OneMerge Set segmentsToRemove = new HashSet<>(oneMerge.getSegmentsToMerge()); // All source segments must exist in the current snapshot - assert segmentList.containsAll(segmentsToRemove) : "merge source segments must all exist in the current catalog snapshot"; + if (!segmentList.containsAll(segmentsToRemove)) { + throw new IllegalStateException( + "Merge source segments must all exist in the current catalog snapshot. Missing: " + + segmentsToRemove.stream() + .filter(s -> !segmentList.contains(s)) + .map(s -> "gen=" + s.generation()) + .collect(java.util.stream.Collectors.joining(", ")) + ); + } // Merged segment generation must not collide with any segment that will be retained - assert segmentList.stream() - .filter(s -> segmentsToRemove.contains(s) == false) - .noneMatch(s -> s.generation() == segmentToAdd.generation()) : "merged segment generation [" - + segmentToAdd.generation() - + "] collides with a retained segment generation"; + if (segmentList.stream().filter(s -> !segmentsToRemove.contains(s)).anyMatch(s -> s.generation() == segmentToAdd.generation())) { + throw new IllegalStateException( + "Merged segment generation [" + segmentToAdd.generation() + "] collides with a retained segment generation" + ); + } // Row count conservation: merged output must have the same total rows as the inputs - assert assertRowCountConservation(segmentsToRemove, segmentToAdd) - : "merged segment row count must equal sum of source segment row counts"; + if (!assertRowCountConservation(segmentsToRemove, segmentToAdd)) { + long inputRows = segmentsToRemove.stream() + .flatMap(s -> s.dfGroupedSearchableFiles().values().stream()) + .mapToLong(WriterFileSet::numRows) + .sum(); + long outputRows = segmentToAdd.dfGroupedSearchableFiles().values().stream().mapToLong(WriterFileSet::numRows).sum(); + throw new IllegalStateException( + "Merged segment row count mismatch: input segments have " + + inputRows + + " total rows but merged output has " + + outputRows + + " rows" + ); + } boolean inserted = false; int newSegIdx = 0; @@ -276,7 +297,7 @@ assert assertSegmentGenerationFileConsistency(refreshedSegments) // one of the writers dropped or duplicated rows during a single refresh — // exactly the class of bug that silently produced different match/LIKE // counts at query time. - assert assertPerSegmentCrossFormatRowCountParity(refreshedSegments) : "per-segment row count must be equal across all formats"; + verifyPerSegmentCrossFormatRowCountParity(refreshedSegments); installSnapshot(newSnapshot); } @@ -673,7 +694,7 @@ private boolean assertRowCountConservation(Set sourceSegments, Segment * single refresh — which produces silent correctness issues like different counts * from {@code match} vs {@code LIKE} over the same field. */ - private boolean assertPerSegmentCrossFormatRowCountParity(List segments) { + private void verifyPerSegmentCrossFormatRowCountParity(List segments) { for (Segment seg : segments) { long expected = -1L; String referenceFormat = null; @@ -683,18 +704,19 @@ private boolean assertPerSegmentCrossFormatRowCountParity(List segments expected = rows; referenceFormat = entry.getKey(); } else if (rows != expected) { - logger.error( - "Per-segment row count mismatch at generation {}: format [{}] has {} rows but format [{}] has {} rows", - seg.generation(), - referenceFormat, - expected, - entry.getKey(), - rows + throw new IllegalStateException( + String.format( + Locale.ROOT, + "Per-segment row count mismatch at generation %s: format [%s] has %s rows but format [%s] has %s rows", + seg.generation(), + referenceFormat, + expected, + entry.getKey(), + rows + ) ); - return false; } } } - return true; } } diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index f90036ed0a5ce..655b92399c34c 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -84,6 +84,7 @@ import java.util.UUID; import java.util.concurrent.CountDownLatch; import java.util.concurrent.CyclicBarrier; +import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicLong; @@ -4232,4 +4233,105 @@ public void testGetByIdDeleteAndConflictPaths() throws Exception { assertNotNull("should fall through when translog returns null", translogNullResult); } } + + /** + * Tests that engine close is graceful when concurrent index, refresh, and flush operations + * are in flight. Verifies no unhandled exceptions escape and the engine transitions to closed. + */ + public void testGracefulCloseUnderConcurrentLoad() throws Exception { + try (Store store = createStore()) { + DataFormatAwareEngine engine = createDFAEngine(store, createTempDir()); + + final AtomicBoolean stop = new AtomicBoolean(false); + final AtomicReference failure = new AtomicReference<>(); + final CountDownLatch started = new CountDownLatch(3); + + // Thread 1: continuous indexing + Thread indexThread = new Thread(() -> { + started.countDown(); + int i = 0; + while (stop.get() == false) { + try { + engine.index(indexOp(createParsedDocWithInput(Integer.toString(i++), null))); + } catch (AlreadyClosedException e) { + break; // expected during close + } catch (Exception e) { + if (stop.get() == false) { + failure.compareAndSet(null, e); + } + break; + } + } + }); + + // Thread 2: continuous refresh + Thread refreshThread = new Thread(() -> { + started.countDown(); + while (stop.get() == false) { + try { + engine.refresh("concurrent-test"); + } catch (AlreadyClosedException e) { + break; + } catch (Exception e) { + if (stop.get() == false) { + failure.compareAndSet(null, e); + } + break; + } + } + }); + + // Thread 3: periodic flush + Thread flushThread = new Thread(() -> { + started.countDown(); + while (stop.get() == false) { + try { + engine.flush(false, true); + Thread.sleep(10); + } catch (AlreadyClosedException e) { + break; + } catch (FlushFailedEngineException e) { + // flush may be disabled during translog recovery or after close + break; + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + break; + } catch (Exception e) { + if (stop.get() == false) { + failure.compareAndSet(null, e); + } + break; + } + } + }); + + indexThread.start(); + refreshThread.start(); + flushThread.start(); + + // Wait for all threads to start + assertTrue(started.await(5, TimeUnit.SECONDS)); + + // Let them run briefly + Thread.sleep(200); + + // Close the engine while operations are in-flight + stop.set(true); + engine.close(); + + // Wait for threads to finish + indexThread.join(10_000); + refreshThread.join(10_000); + flushThread.join(10_000); + + assertFalse("Index thread should have stopped", indexThread.isAlive()); + assertFalse("Refresh thread should have stopped", refreshThread.isAlive()); + assertFalse("Flush thread should have stopped", flushThread.isAlive()); + + // No unexpected exceptions + if (failure.get() != null) { + throw new AssertionError("Unexpected exception during concurrent close", failure.get()); + } + } + } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeHandlerTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeHandlerTests.java index 35ac62fee0803..ba9e8947074cd 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeHandlerTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeHandlerTests.java @@ -224,4 +224,91 @@ public void testDoMerge_DelegatesToMerger() throws Exception { assertSame(result, actual); verify(merger).merge(any(MergeInput.class)); } + + /** + * Verifies that {@code findForceMerges} excludes segments that are already being merged + * by a background merge. Without this fix, a concurrent force merge + background merge + * could pick the same segments, causing the Lucene secondary to merge fewer docs than + * parquet (row count mismatch). + */ + public void testFindForceMergesExcludesAlreadyMergingSegments() throws Exception { + Segment s1 = seg(1); + Segment s2 = seg(2); + Segment s3 = seg(3); + Segment s4 = seg(4); + + MergeHandler handler = newHandler(snapshotWith(s1, s2, s3, s4)); + + // Simulate merge policy returning all segments as force merge candidates + when(mergePolicy.findForceMergeCandidates(any(), any(Integer.class))).thenReturn(List.of(List.of(s1, s2, s3, s4))); + + // Register a background merge for segments [s1, s2] — marks them as currently merging + OneMerge backgroundMerge = new OneMerge(List.of(s1, s2)); + handler.registerMerge(backgroundMerge); + + // Now findForceMerges should exclude s1 and s2 since they're already merging + var forceMerges = handler.findForceMerges(1); + + // The force merge group [s1, s2, s3, s4] contains merging segments → should be filtered out + assertTrue("Force merge should not pick segments already being merged by background merge", forceMerges.isEmpty()); + } + + /** + * Verifies that {@code findForceMerges} returns candidates when no segments overlap + * with currently merging segments. + */ + public void testFindForceMergesReturnsNonConflictingCandidates() throws Exception { + Segment s1 = seg(1); + Segment s2 = seg(2); + Segment s3 = seg(3); + Segment s4 = seg(4); + + MergeHandler handler = newHandler(snapshotWith(s1, s2, s3, s4)); + + // Merge policy returns two groups: [s1, s2] and [s3, s4] + when(mergePolicy.findForceMergeCandidates(any(), any(Integer.class))).thenReturn(List.of(List.of(s1, s2), List.of(s3, s4))); + + // Register background merge for [s1, s2] + OneMerge backgroundMerge = new OneMerge(List.of(s1, s2)); + handler.registerMerge(backgroundMerge); + + // findForceMerges should return only the non-conflicting group [s3, s4] + var forceMerges = handler.findForceMerges(1); + + assertEquals("Should return 1 non-conflicting merge group", 1, forceMerges.size()); + OneMerge remaining = forceMerges.iterator().next(); + assertEquals(2, remaining.getSegmentsToMerge().size()); + assertTrue(remaining.getSegmentsToMerge().contains(s3)); + assertTrue(remaining.getSegmentsToMerge().contains(s4)); + } + + /** + * Verifies that {@code findForceMerges} does NOT register conflicting merge groups + * in currentlyMergingSegments. Only non-conflicting groups should be registered. + */ + public void testFindForceMergesOnlyRegistersNonConflictingGroups() throws Exception { + Segment s1 = seg(1); + Segment s2 = seg(2); + Segment s3 = seg(3); + + MergeHandler handler = newHandler(snapshotWith(s1, s2, s3)); + + // Merge policy returns two groups: [s1, s2] (will conflict) and [s3] (won't conflict) + when(mergePolicy.findForceMergeCandidates(any(), any(Integer.class))).thenReturn(List.of(List.of(s1, s2), List.of(s3))); + + // Register background merge for s1 — makes [s1, s2] group conflicting + handler.registerMerge(new OneMerge(List.of(s1))); + + // findForceMerges should only return and register [s3] + var forceMerges = handler.findForceMerges(1); + assertEquals(1, forceMerges.size()); + + // s2 should NOT be stuck in currentlyMergingSegments + // Verify by registering a merge containing s2 — should succeed + OneMerge s2Merge = new OneMerge(List.of(s2)); + handler.registerMerge(s2Merge); + // background s1 is pending (from registerMerge), force s3 is NOT pending (only in currentlyMerging), + // newly registered s2 is pending → 2 pending total + assertEquals(2, handler.getPendingMergeCount()); + } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java index 51713660a24c6..a5939653303f2 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java @@ -15,11 +15,18 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexModule; import org.opensearch.index.IndexSettings; +import org.opensearch.index.engine.dataformat.MergeResult; +import org.opensearch.index.engine.exec.Segment; import org.opensearch.test.IndexSettingsModule; import org.opensearch.test.OpenSearchTestCase; import org.opensearch.threadpool.TestThreadPool; import org.opensearch.threadpool.ThreadPool; +import java.io.IOException; +import java.util.List; +import java.util.Map; + +import static org.mockito.ArgumentMatchers.anyInt; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.never; import static org.mockito.Mockito.times; @@ -114,4 +121,57 @@ public void testIsNotFrozenForHotTieringState() { MergeScheduler scheduler = newScheduler(mergeHandler, IndexModule.TieringState.HOT); assertFalse("HOT tiering state must not report frozen", scheduler.isFrozen()); } + + public void testForceMergeSkipsAfterShutdown() throws IOException { + MergeHandler mergeHandler = mock(MergeHandler.class); + MergeScheduler scheduler = newScheduler(mergeHandler, IndexModule.TieringState.HOT); + + scheduler.shutdown(); + + String oldName = Thread.currentThread().getName(); + Thread.currentThread().setName("TEST-" + ThreadPool.Names.FORCE_MERGE + "-0"); + try { + scheduler.forceMerge(1); + } finally { + Thread.currentThread().setName(oldName); + } + + verify(mergeHandler, never()).findForceMerges(anyInt()); + } + + public void testForceMergeAbortsRemainingMergesOnShutdown() throws Exception { + MergeHandler mergeHandler = mock(MergeHandler.class); + + Segment s1 = new Segment(1L, Map.of()); + Segment s2 = new Segment(2L, Map.of()); + OneMerge merge1 = new OneMerge(List.of(s1)); + OneMerge merge2 = new OneMerge(List.of(s2)); + + when(mergeHandler.findForceMerges(1)).thenReturn(List.of(merge1, merge2)); + when(mergeHandler.doMerge(merge1)).thenReturn(new MergeResult(Map.of())); + + final java.util.concurrent.atomic.AtomicReference schedulerRef = + new java.util.concurrent.atomic.AtomicReference<>(); + + MergeScheduler scheduler = new MergeScheduler( + mergeHandler, + (result, merge) -> { schedulerRef.get().shutdown(); }, + () -> {}, + shardId, + indexSettings(IndexModule.TieringState.HOT), + threadPool + ); + schedulerRef.set(scheduler); + + String oldName = Thread.currentThread().getName(); + Thread.currentThread().setName("TEST-" + ThreadPool.Names.FORCE_MERGE + "-0"); + try { + scheduler.forceMerge(1); + } finally { + Thread.currentThread().setName(oldName); + } + + verify(mergeHandler).doMerge(merge1); + verify(mergeHandler, never()).doMerge(merge2); + } } From 4cbcf6a8bdfcbad3307ea194b89342218f012618 Mon Sep 17 00:00:00 2001 From: Bharathwaj G Date: Sun, 21 Jun 2026 23:53:23 +0530 Subject: [PATCH 20/94] Changes in Datafusion plugin to stitch clear cache rest action, cache settings and cache stats (#22257) * Datafusion - clear cache rest action, cache settings and cache stats Signed-off-by: G * updating stats cache percent Signed-off-by: G * addressing comments Signed-off-by: G * removing unused settings Signed-off-by: G --------- Signed-off-by: G --- .../rust/src/ffm.rs | 42 ++++ .../be/datafusion/DataFusionPlugin.java | 85 +++++++- .../be/datafusion/DatafusionSettings.java | 9 +- .../action/stats/ClearCacheActionType.java | 30 +++ .../action/stats/ClearCacheNodeRequest.java | 60 ++++++ .../action/stats/ClearCacheNodeResponse.java | 33 ++++ .../action/stats/ClearCacheNodesRequest.java | 82 ++++++++ .../action/stats/ClearCacheNodesResponse.java | 53 +++++ .../action/stats/RestClearCacheAction.java | 64 ++++++ .../stats/TransportClearCacheAction.java | 88 +++++++++ .../be/datafusion/cache/CacheSettings.java | 187 +++++++++++++++--- .../be/datafusion/cache/CacheUtils.java | 80 +++++--- .../be/datafusion/nativelib/NativeBridge.java | 69 +++++++ .../be/datafusion/nativelib/StatsLayout.java | 43 +++- .../be/datafusion/stats/CacheStats.java | 67 ++++--- .../DataFusionPluginSettingsTests.java | 14 +- .../be/datafusion/DataFusionServiceTests.java | 14 +- .../DatafusionCacheManagerTests.java | 7 +- .../datafusion/DatafusionSettingsTests.java | 2 +- .../action/stats/ClearCacheRequestTests.java | 111 +++++++++++ .../stats/RestClearCacheActionTests.java | 128 ++++++++++++ .../CacheSettingsPercentValidationTests.java | 112 +++++++++++ .../nativelib/StatsLayoutPropertyTests.java | 62 ++++-- .../nativelib/StatsLayoutTests.java | 6 +- .../be/datafusion/stats/CacheStatsTests.java | 66 +++++-- .../stats/DataFusionStatsPropertyTests.java | 2 +- .../stats/DataFusionStatsTests.java | 4 +- .../analytics/qa/DataFusionCacheClearIT.java | 122 ++++++++++++ .../tracker/ResourceTrackerSettings.java | 8 +- .../NodeResourceUsageTrackerTests.java | 6 +- 30 files changed, 1503 insertions(+), 153 deletions(-) create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheActionType.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeResponse.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesResponse.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/RestClearCacheAction.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DataFusionCacheClearIT.java diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index cf98dc504e66d..3a1c01ea3e666 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -1335,6 +1335,48 @@ pub unsafe extern "C" fn df_execute_local_prepared_plan( api::execute_local_prepared_plan(session_ptr, &mgr, context_id, None).map_err(|e| e.to_string()) } +// ── Scoped page-index cache limit setters ──────────────────────────────────── +// +// These are wired from Java at startup (CacheUtils.createCacheConfig) and on +// dynamic setting changes (DataFusionPlugin settings consumers). They forward +// to the process-global caches in crate::cache::page_index. +// +// NOTE: On main these are stubs that do nothing — the cache module from PR 1 +// is not yet present. Once PR 1 merges the bodies replace these no-ops. + +/// Set the byte budget of the process-global scoped ColumnIndex cache. +/// Zero is ignored; negative returns an error. +#[ffm_safe] +#[no_mangle] +pub extern "C" fn df_set_column_index_cache_limit(size_limit: i64) -> i64 { + if size_limit < 0 { + return Err(format!("df_set_column_index_cache_limit: negative limit {}", size_limit)); + } + // TODO(PR1): crate::cache::page_index::set_column_index_cache_limit(size_limit as usize); + Ok(0) +} + +/// Set the byte budget of the process-global scoped OffsetIndex cache. +/// Zero is ignored; negative returns an error. +#[ffm_safe] +#[no_mangle] +pub extern "C" fn df_set_offset_index_cache_limit(size_limit: i64) -> i64 { + if size_limit < 0 { + return Err(format!("df_set_offset_index_cache_limit: negative limit {}", size_limit)); + } + // TODO(PR1): crate::cache::page_index::set_offset_index_cache_limit(size_limit as usize); + Ok(0) +} + +/// Clear the process-global scoped page-index cache (drop entries + reset +/// counters, keep the budget). No-op stub until PR 1 merges. +#[ffm_safe] +#[no_mangle] +pub extern "C" fn df_clear_scoped_page_index_cache() -> i64 { + // TODO(PR1): crate::cache::page_index::clear_scoped_cache(); + Ok(0) +} + #[cfg(test)] mod tests { use super::*; diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index 3f0fdb7c9fb0e..b11e989872471 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -19,6 +19,7 @@ import org.opensearch.be.datafusion.action.stats.DataFusionStatsActionType; import org.opensearch.be.datafusion.action.stats.RestDataFusionStatsAction; import org.opensearch.be.datafusion.action.stats.TransportDataFusionStatsAction; +import org.opensearch.be.datafusion.cache.CacheSettings; import org.opensearch.be.datafusion.nativelib.NativeBridge; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; import org.opensearch.cluster.node.DiscoveryNodes; @@ -108,7 +109,8 @@ public class DataFusionPlugin extends Plugin * ({@link ResourceTrackerSettings#NODE_NATIVE_MEMORY_LIMIT_SETTING}), which is * the same off-heap budget admission control throttles against. The DataFusion Rust * runtime is the dominant native-memory consumer for analytics workloads (see PR #21732 - * partitioning model), so the default takes 74% of {@code node.native_memory.limit}. + * partitioning model), so the default takes 71% of {@code node.native_memory.limit} + * (reduced from 74% to fund the 3% parquet cache budget). * If the AC limit is unset (== 0), the default is {@link Long#MAX_VALUE} — unbounded — to * preserve pre-AC behaviour rather than make up a number from JVM heap (which is a * separate, already-allocated region with no relation to native-memory sizing). @@ -131,10 +133,16 @@ public class DataFusionPlugin extends Plugin ); /** - * Computes the default for {@link #DATAFUSION_MEMORY_POOL_LIMIT} as 74% of + * Computes the default for {@link #DATAFUSION_MEMORY_POOL_LIMIT} as 71% of * {@link ResourceTrackerSettings#NODE_NATIVE_MEMORY_LIMIT_SETTING}, falling back to * {@link Long#MAX_VALUE} when AC is unconfigured. * + *

    Reduced from 74% to 71%: 3% of {@code node.native_memory.limit} is now reserved for + * the DataFusion parquet caches (footer metadata, ColumnIndex, OffsetIndex). That 3% is + * funded by 2% from the operator pool and 1% from the unmanaged headroom (which expanded + * from 21% to 20% of off-heap via the 79→80% change to + * {@code ResourceTrackerSettings.deriveNativeMemoryLimitDefault}). + * *

    The fraction is taken straight from {@code node.native_memory.limit}, not from * {@code limit - buffer_percent}. {@code buffer_percent} is an admission-control throttle * margin, not a framework budget reduction; subtracting it here would collapse AC's safety @@ -147,10 +155,10 @@ static String deriveMemoryPoolLimitDefault(Settings settings) { if (nativeLimit.getBytes() <= 0) { return Long.toString(Long.MAX_VALUE); } - // 74% of node.native_memory.limit. DataFusion is the dominant native consumer for + // 71% of node.native_memory.limit. DataFusion is the dominant native consumer for // analytics workloads; operators tune via the dynamic setting once they characterize // their workload. - long pool = Math.max(0L, nativeLimit.getBytes() * 74 / 100); + long pool = Math.max(0L, nativeLimit.getBytes() * 71 / 100); return Long.toString(pool); } @@ -457,6 +465,33 @@ public Collection createComponents( // cluster settings API take effect without restarting the node. clusterService.getClusterSettings().addSettingsUpdateConsumer(DATAFUSION_SPILL_MEMORY_LIMIT, this::updateSpillMemoryLimit); clusterService.getClusterSettings().addSettingsUpdateConsumer(DATAFUSION_MIN_TARGET_PARTITIONS, this::updateMinTargetPartitions); + // Recompute and push absolute cache limits whenever the total budget or any + // sub-cache percentage changes. Validates that percentages sum to 100 first. + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE, + v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + ); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + CacheSettings.FOOTER_METADATA_CACHE_PERCENT, + v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + ); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + CacheSettings.OFFSET_INDEX_CACHE_PERCENT, + v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + ); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + CacheSettings.COLUMN_INDEX_CACHE_PERCENT, + v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + ); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + CacheSettings.STATISTICS_CACHE_PERCENT, + v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + ); clusterService.getClusterSettings() .addSettingsUpdateConsumer(DATAFUSION_REDUCE_TARGET_PARTITIONS, NativeBridge::setReduceTargetPartitions); clusterService.getClusterSettings() @@ -694,6 +729,38 @@ void updateMinTargetPartitions(int value) { logger.info("Updated DataFusion min_target_partitions to {}", value); } + /** + * Recompute absolute ColumnIndex and OffsetIndex cache limits from the current + * {@link CacheSettings#METADATA_INDEX_CACHE_TOTAL_SIZE} and percent settings, then push them + * to native. Validates that percentages sum to 100 before applying. + */ + private void recomputePageCacheLimits(org.opensearch.common.settings.ClusterSettings cs) { + long total = cs.get(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE).getBytes(); + int metaPct = cs.get(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); + int oiPct = cs.get(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); + int ciPct = cs.get(CacheSettings.COLUMN_INDEX_CACHE_PERCENT); + int statsPct = cs.get(CacheSettings.STATISTICS_CACHE_PERCENT); + CacheSettings.validatePercentSum(metaPct, oiPct, ciPct, statsPct); + long metaLimit = total * metaPct / 100; + long ciLimit = total * ciPct / 100; + long oiLimit = total * oiPct / 100; + long statsLimit = total * statsPct / 100; + logger.info( + "Updating cache limits: footer_metadata={} bytes (node restart required), " + + "column_index={} bytes, offset_index={} bytes, statistics={} bytes (node restart required)", + metaLimit, + ciLimit, + oiLimit, + statsLimit + ); + // CI and OI limits take effect immediately via FFI. + // Footer metadata and statistics cache limits require a node restart + // (no runtime FFI to update the Java-side DefaultFilesMetadataCache limits). + // TODO: add df_update_metadata_cache_limit FFI to make them dynamic. + NativeBridge.setColumnIndexCacheLimit(ciLimit); + NativeBridge.setOffsetIndexCacheLimit(oiLimit); + } + private void updateMemoryGuardThresholds() { double admissionThrottle = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD); double admissionReject = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD); @@ -761,7 +828,13 @@ public List getSupportedFormats() { @Override public List> getActions() { - return List.of(new ActionHandler<>(DataFusionStatsActionType.INSTANCE, TransportDataFusionStatsAction.class)); + return List.of( + new ActionHandler<>(DataFusionStatsActionType.INSTANCE, TransportDataFusionStatsAction.class), + new ActionHandler<>( + org.opensearch.be.datafusion.action.stats.ClearCacheActionType.INSTANCE, + org.opensearch.be.datafusion.action.stats.TransportClearCacheAction.class + ) + ); } @Override @@ -777,7 +850,7 @@ public List getRestHandlers( if (dataFusionService == null) { return Collections.emptyList(); } - return List.of(new RestDataFusionStatsAction()); + return List.of(new RestDataFusionStatsAction(), new org.opensearch.be.datafusion.action.stats.RestClearCacheAction()); } @Override diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java index 06de123d0a675..b278c4da6ed9d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java @@ -291,13 +291,16 @@ static String derivePoolMinDefault(Settings settings, int percent) { DataFusionPlugin.DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD, DATAFUSION_MEMORY_POOL_MIN, - // Cache settings — metadata and statistics cache configuration - CacheSettings.METADATA_CACHE_SIZE_LIMIT, - CacheSettings.STATISTICS_CACHE_SIZE_LIMIT, + // Cache settings — metadata, statistics, and metadata-index cache configuration CacheSettings.METADATA_CACHE_EVICTION_TYPE, CacheSettings.STATISTICS_CACHE_EVICTION_TYPE, CacheSettings.METADATA_CACHE_ENABLED, CacheSettings.STATISTICS_CACHE_ENABLED, + CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE, + CacheSettings.FOOTER_METADATA_CACHE_PERCENT, + CacheSettings.OFFSET_INDEX_CACHE_PERCENT, + CacheSettings.COLUMN_INDEX_CACHE_PERCENT, + CacheSettings.STATISTICS_CACHE_PERCENT, // Concurrency gate settings CONCURRENCY_DATANODE_MULTIPLIER, diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheActionType.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheActionType.java new file mode 100644 index 0000000000000..abc0bf0cb2a59 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheActionType.java @@ -0,0 +1,30 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.ActionType; + +/** + * Action type for the broadcast "clear datafusion caches" transport action. + * + *

    The datafusion caches are process-global singletons, one per node. Clearing + * them must fan out to every node so a single-node REST handler doesn't leave + * other nodes' caches populated. + * + * @opensearch.internal + */ +public class ClearCacheActionType extends ActionType { + + public static final String NAME = "cluster:admin/_analytics_backend_datafusion/cache/clear"; + public static final ClearCacheActionType INSTANCE = new ClearCacheActionType(); + + private ClearCacheActionType() { + super(NAME, ClearCacheNodesResponse::new); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java new file mode 100644 index 0000000000000..59dadadfdaf27 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java @@ -0,0 +1,60 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.transport.TransportRequest; + +import java.io.IOException; + +/** Per-node request carrying which caches to clear. @opensearch.internal */ +public class ClearCacheNodeRequest extends TransportRequest { + + private boolean footer; + private boolean column; + private boolean offset; + + public ClearCacheNodeRequest(boolean footer, boolean column, boolean offset) { + this.footer = footer; + this.column = column; + this.offset = offset; + } + + public ClearCacheNodeRequest(StreamInput in) throws IOException { + super(in); + this.footer = in.readBoolean(); + this.column = in.readBoolean(); + this.offset = in.readBoolean(); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + super.writeTo(out); + out.writeBoolean(footer); + out.writeBoolean(column); + out.writeBoolean(offset); + } + + public boolean isFooter() { + return footer; + } + + public boolean isColumn() { + return column; + } + + public boolean isOffset() { + return offset; + } + + public boolean isClearAll() { + return !footer && !column && !offset; + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeResponse.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeResponse.java new file mode 100644 index 0000000000000..0d7087201a0f8 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeResponse.java @@ -0,0 +1,33 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.support.nodes.BaseNodeResponse; +import org.opensearch.cluster.node.DiscoveryNode; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; + +/** Per-node response confirming the caches were cleared. @opensearch.internal */ +public class ClearCacheNodeResponse extends BaseNodeResponse { + + public ClearCacheNodeResponse(DiscoveryNode node) { + super(node); + } + + public ClearCacheNodeResponse(StreamInput in) throws IOException { + super(in); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + super.writeTo(out); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java new file mode 100644 index 0000000000000..c592916ba03a2 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java @@ -0,0 +1,82 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.support.nodes.BaseNodesRequest; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; + +/** + * Cluster-level request to clear DataFusion caches on target nodes. + * + *

    When all flags are false (the default), every cache is cleared. Set individual + * flags to clear only specific caches — mirrors {@code /_cache/clear?query=true} pattern. + * + * @opensearch.internal + */ +public class ClearCacheNodesRequest extends BaseNodesRequest { + + private boolean footer; + private boolean column; + private boolean offset; + + /** Clears ALL caches on the target nodes (no params given). */ + public ClearCacheNodesRequest(String... nodesIds) { + super(nodesIds); + } + + public ClearCacheNodesRequest(StreamInput in) throws IOException { + super(in); + this.footer = in.readBoolean(); + this.column = in.readBoolean(); + this.offset = in.readBoolean(); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + super.writeTo(out); + out.writeBoolean(footer); + out.writeBoolean(column); + out.writeBoolean(offset); + } + + /** Whether to clear the footer metadata cache. */ + public boolean isFooter() { + return footer; + } + + public void setFooter(boolean footer) { + this.footer = footer; + } + + /** Whether to clear the ColumnIndex (predicate) cache. */ + public boolean isColumn() { + return column; + } + + public void setColumn(boolean column) { + this.column = column; + } + + /** Whether to clear the OffsetIndex (projection) cache. */ + public boolean isOffset() { + return offset; + } + + public void setOffset(boolean offset) { + this.offset = offset; + } + + /** True when no specific flag is set — means clear everything. */ + public boolean isClearAll() { + return !footer && !column && !offset; + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesResponse.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesResponse.java new file mode 100644 index 0000000000000..d1f11e5f6ae56 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesResponse.java @@ -0,0 +1,53 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.FailedNodeException; +import org.opensearch.action.support.nodes.BaseNodesResponse; +import org.opensearch.cluster.ClusterName; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.core.xcontent.ToXContentFragment; +import org.opensearch.core.xcontent.XContentBuilder; + +import java.io.IOException; +import java.util.List; + +/** Aggregated cluster-wide response for the clear-scoped-cache broadcast. @opensearch.internal */ +public class ClearCacheNodesResponse extends BaseNodesResponse implements ToXContentFragment { + + public ClearCacheNodesResponse(ClusterName clusterName, List nodes, List failures) { + super(clusterName, nodes, failures); + } + + public ClearCacheNodesResponse(StreamInput in) throws IOException { + super(in); + } + + @Override + protected List readNodesFrom(StreamInput in) throws IOException { + return in.readList(ClearCacheNodeResponse::new); + } + + @Override + protected void writeNodesTo(StreamOutput out, List nodes) throws IOException { + out.writeList(nodes); + } + + @Override + public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { + builder.field("acknowledged", failures() == null || failures().isEmpty()); + builder.startArray("cleared_nodes"); + for (ClearCacheNodeResponse node : getNodes()) { + builder.value(node.getNode().getId()); + } + builder.endArray(); + return builder; + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/RestClearCacheAction.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/RestClearCacheAction.java new file mode 100644 index 0000000000000..3b56303d531b7 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/RestClearCacheAction.java @@ -0,0 +1,64 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.rest.BaseRestHandler; +import org.opensearch.rest.RestRequest; +import org.opensearch.rest.action.RestActions.NodesResponseRestListener; +import org.opensearch.transport.client.node.NodeClient; + +import java.io.IOException; +import java.util.List; + +import static java.util.Collections.singletonList; +import static org.opensearch.rest.RestRequest.Method.POST; + +/** + * Clears DataFusion caches across ALL nodes in the cluster. + * + * 

    + * POST /_plugins/_analytics_backend_datafusion/cache/_clear           → clears all caches
+ * POST /_plugins/_analytics_backend_datafusion/cache/_clear?footer=true  → footer metadata only
+ * POST /_plugins/_analytics_backend_datafusion/cache/_clear?column=true  → column index only
+ * POST /_plugins/_analytics_backend_datafusion/cache/_clear?offset=true  → offset index only
+ *
    + * + *

    Multiple params may be combined. When no param is set, all caches are cleared. + * Mirrors the {@code /_cache/clear?query=true} pattern used by OpenSearch index caches. + * + * @opensearch.internal + */ +public class RestClearCacheAction extends BaseRestHandler { + + private static final String ROUTE = "/_plugins/_analytics_backend_datafusion/cache/_clear"; + + @Override + public String getName() { + return "datafusion_clear_cache_action"; + } + + @Override + public List routes() { + return singletonList(new Route(POST, ROUTE)); + } + + @Override + protected RestChannelConsumer prepareRequest(RestRequest request, NodeClient client) throws IOException { + ClearCacheNodesRequest nodesRequest = new ClearCacheNodesRequest(); + nodesRequest.setFooter(request.paramAsBoolean("footer", false)); + nodesRequest.setColumn(request.paramAsBoolean("column", false)); + nodesRequest.setOffset(request.paramAsBoolean("offset", false)); + return channel -> client.execute(ClearCacheActionType.INSTANCE, nodesRequest, new NodesResponseRestListener<>(channel)); + } + + @Override + public boolean canTripCircuitBreaker() { + return false; + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java new file mode 100644 index 0000000000000..e685c3fae4877 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java @@ -0,0 +1,88 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.FailedNodeException; +import org.opensearch.action.support.ActionFilters; +import org.opensearch.action.support.nodes.TransportNodesAction; +import org.opensearch.be.datafusion.nativelib.NativeBridge; +import org.opensearch.cluster.service.ClusterService; +import org.opensearch.common.inject.Inject; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.threadpool.ThreadPool; +import org.opensearch.transport.TransportService; + +import java.io.IOException; +import java.util.List; + +/** + * Broadcast transport action that clears the process-global scoped page-index + * caches (ColumnIndex + OffsetIndex) on every target node. + * + * @opensearch.internal + */ +public class TransportClearCacheAction extends TransportNodesAction< + ClearCacheNodesRequest, + ClearCacheNodesResponse, + ClearCacheNodeRequest, + ClearCacheNodeResponse> { + + @Inject + public TransportClearCacheAction( + ThreadPool threadPool, + ClusterService clusterService, + TransportService transportService, + ActionFilters actionFilters + ) { + super( + ClearCacheActionType.NAME, + threadPool, + clusterService, + transportService, + actionFilters, + ClearCacheNodesRequest::new, + ClearCacheNodeRequest::new, + ThreadPool.Names.MANAGEMENT, + ClearCacheNodeResponse.class + ); + } + + @Override + protected ClearCacheNodesResponse newResponse( + ClearCacheNodesRequest request, + List responses, + List failures + ) { + return new ClearCacheNodesResponse(clusterService.getClusterName(), responses, failures); + } + + @Override + protected ClearCacheNodeRequest newNodeRequest(ClearCacheNodesRequest request) { + return new ClearCacheNodeRequest(request.isFooter(), request.isColumn(), request.isOffset()); + } + + @Override + protected ClearCacheNodeResponse newNodeResponse(StreamInput in) throws IOException { + return new ClearCacheNodeResponse(in); + } + + @Override + protected ClearCacheNodeResponse nodeOperation(ClearCacheNodeRequest request) { + if (request.isClearAll()) { + NativeBridge.clearColumnIndexCache(); + NativeBridge.clearOffsetIndexCache(); + NativeBridge.clearFooterCache(); + } else { + if (request.isColumn()) NativeBridge.clearColumnIndexCache(); + if (request.isOffset()) NativeBridge.clearOffsetIndexCache(); + if (request.isFooter()) NativeBridge.clearFooterCache(); + } + return new ClearCacheNodeResponse(clusterService.localNode()); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java index 3f1f9e969b880..1be3e801afdfb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java @@ -9,34 +9,43 @@ package org.opensearch.be.datafusion.cache; import org.opensearch.common.settings.Setting; +import org.opensearch.common.settings.Settings; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; +import org.opensearch.node.resource.tracker.ResourceTrackerSettings; -import java.util.Arrays; -import java.util.List; import java.util.Locale; +/** + * Settings for the DataFusion parquet caches. + * + *

    Budget model

    + * + * 
    + * node.native_memory.limit = 80% of off-heap
+ *   ├── 71% → datafusion.memory_pool_limit_bytes  (operator pool)
+ *   ├──  3% → datafusion.metadata_index_cache.total_size   (all metadata caches (footer + page indexes), this class)
+ *   │     ├── 50% → metadata cache   (footer metadata, Rust jemalloc)
+ *   │     ├── 35% → offset index     (projection-driven, Rust jemalloc)
+ *   │     └── 15% → column index     (predicate-driven, Rust jemalloc)
+ *   ├──  8% → Arrow ingest pool
+ *   ├──  5% → Arrow flight pool
+ *   ├──  5% → Arrow query pool
+ *   ├──  5% → Parquet write pool
+ *   └──  3% → Parquet merge pool
+ *   = 100%
+ *
    + * + *

    The three sub-cache percentages must sum to <= 100 (unused headroom is accepted). Changing any one without adjusting + * the others is rejected at validation time. + * + *

    The statistics cache is sized independently (not part of the 3% total) because it + * holds file-level row-group statistics, not page-level indexes — a different working set + * with different eviction characteristics. + */ public class CacheSettings { - public static final String METADATA_CACHE_SIZE_LIMIT_KEY = "datafusion.metadata.cache.size.limit"; - public static final String STATISTICS_CACHE_SIZE_LIMIT_KEY = "datafusion.statistics.cache.size.limit"; - public static final Setting METADATA_CACHE_SIZE_LIMIT = new Setting<>( - METADATA_CACHE_SIZE_LIMIT_KEY, - "250mb", - (s) -> ByteSizeValue.parseBytesSizeValue(s, new ByteSizeValue(1000, ByteSizeUnit.KB), METADATA_CACHE_SIZE_LIMIT_KEY), - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); - - public static final Setting STATISTICS_CACHE_SIZE_LIMIT = new Setting<>( - STATISTICS_CACHE_SIZE_LIMIT_KEY, - "100mb", - (s) -> ByteSizeValue.parseBytesSizeValue(s, new ByteSizeValue(0, ByteSizeUnit.KB), STATISTICS_CACHE_SIZE_LIMIT_KEY), - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); - - public static final Setting METADATA_CACHE_EVICTION_TYPE = new Setting( + public static final Setting METADATA_CACHE_EVICTION_TYPE = new Setting<>( "datafusion.metadata.cache.eviction.type", "LRU", CacheSettings::validateEvictionType, @@ -44,7 +53,7 @@ public class CacheSettings { Setting.Property.Dynamic ); - public static final Setting STATISTICS_CACHE_EVICTION_TYPE = new Setting( + public static final Setting STATISTICS_CACHE_EVICTION_TYPE = new Setting<>( "datafusion.statistics.cache.eviction.type", "LRU", CacheSettings::validateEvictionType, @@ -68,15 +77,135 @@ public class CacheSettings { Setting.Property.Dynamic ); - public static final List> CACHE_SETTINGS = Arrays.asList( - METADATA_CACHE_ENABLED, - METADATA_CACHE_SIZE_LIMIT, - METADATA_CACHE_EVICTION_TYPE, - STATISTICS_CACHE_ENABLED, - STATISTICS_CACHE_SIZE_LIMIT, - STATISTICS_CACHE_EVICTION_TYPE + // Page-cache total budget (3% of node.native_memory.limit) + + public static final String METADATA_INDEX_CACHE_TOTAL_SIZE_KEY = "datafusion.metadata_index_cache.total_size"; + + /** + * Total byte budget for all three metadata caches (footer metadata, ColumnIndex, + * OffsetIndex). Defaults to 3% of {@code node.native_memory.limit}; falls back to + * 500 MB when AC is unconfigured. + */ + public static final Setting METADATA_INDEX_CACHE_TOTAL_SIZE = new Setting<>( + METADATA_INDEX_CACHE_TOTAL_SIZE_KEY, + CacheSettings::deriveMetadataIndexCacheTotalDefault, + s -> ByteSizeValue.parseBytesSizeValue(s, new ByteSizeValue(0, ByteSizeUnit.BYTES), METADATA_INDEX_CACHE_TOTAL_SIZE_KEY), + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + // ── Sub-cache percentages (must sum to <= 100) ─────────────────────────────── + + public static final String FOOTER_METADATA_CACHE_PERCENT_KEY = "datafusion.cache.footer_metadata_percent"; + public static final String OFFSET_INDEX_CACHE_PERCENT_KEY = "datafusion.cache.offset_index_percent"; + public static final String COLUMN_INDEX_CACHE_PERCENT_KEY = "datafusion.cache.column_index_percent"; + public static final String STATISTICS_CACHE_PERCENT_KEY = "datafusion.cache.statistics_percent"; + + /** Percentage of {@link #METADATA_INDEX_CACHE_TOTAL_SIZE} allocated to the footer metadata cache. Default 48%. */ + public static final Setting FOOTER_METADATA_CACHE_PERCENT = Setting.intSetting( + FOOTER_METADATA_CACHE_PERCENT_KEY, + 48, + 1, + 98, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Percentage of {@link #METADATA_INDEX_CACHE_TOTAL_SIZE} allocated to the OffsetIndex cache. + * Larger than ColumnIndex because it covers predicate ∪ projection ∪ {col 0}. + * Default 34%. + */ + public static final Setting OFFSET_INDEX_CACHE_PERCENT = Setting.intSetting( + OFFSET_INDEX_CACHE_PERCENT_KEY, + 34, + 1, + 98, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** Percentage of {@link #METADATA_INDEX_CACHE_TOTAL_SIZE} allocated to the ColumnIndex cache. Default 13%. */ + public static final Setting COLUMN_INDEX_CACHE_PERCENT = Setting.intSetting( + COLUMN_INDEX_CACHE_PERCENT_KEY, + 13, + 1, + 98, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Percentage of {@link #METADATA_INDEX_CACHE_TOTAL_SIZE} allocated to the file-level statistics cache + * (row-group min/max/null-count). Default 5%. + */ + public static final Setting STATISTICS_CACHE_PERCENT = Setting.intSetting( + STATISTICS_CACHE_PERCENT_KEY, + 5, + 1, + 98, + Setting.Property.NodeScope, + Setting.Property.Dynamic ); + /** + * Validate that the four sub-cache percentages sum to <= 100. Unused headroom (sum < 100) is accepted — mirrors Arrow's pool model where sum(max) <= budget. + * + * @param metaPct footer metadata cache percent + * @param oiPct offset index cache percent + * @param ciPct column index cache percent + * @param statsPct statistics cache percent + */ + public static void validatePercentSum(int metaPct, int oiPct, int ciPct, int statsPct) { + if (metaPct + oiPct + ciPct + statsPct > 100) { + throw new IllegalArgumentException( + "Datafusion cache percentages must sum to <= 100, got: " + + FOOTER_METADATA_CACHE_PERCENT_KEY + + "=" + + metaPct + + ", " + + OFFSET_INDEX_CACHE_PERCENT_KEY + + "=" + + oiPct + + ", " + + COLUMN_INDEX_CACHE_PERCENT_KEY + + "=" + + ciPct + + ", " + + STATISTICS_CACHE_PERCENT_KEY + + "=" + + statsPct + + " (sum=" + + (metaPct + oiPct + ciPct + statsPct) + + ")" + ); + } + } + + /** + * Compute absolute cache sizes from percent values and a total budget. + * Returns {@code long[]{footerMetadataBytes, offsetIndexBytes, columnIndexBytes, statisticsBytes}}. + * Does NOT validate that percents sum to <= 100 — call {@link #validatePercentSum} first. + */ + public static long[] computeCacheSizes(int metaPct, int oiPct, int ciPct, int statsPct, long totalBytes) { + return new long[] { totalBytes * metaPct / 100, totalBytes * oiPct / 100, totalBytes * ciPct / 100, totalBytes * statsPct / 100 }; + } + + // ── Helpers ────────────────────────────────────────────────────────────── + + /** + * Default total page-cache budget: 3% of {@code node.native_memory.limit}. + * Falls back to 500 MB when AC is unconfigured (limit == 0). + */ + static String deriveMetadataIndexCacheTotalDefault(Settings settings) { + ByteSizeValue nativeLimit = ResourceTrackerSettings.NODE_NATIVE_MEMORY_LIMIT_SETTING.get(settings); + if (nativeLimit.getBytes() <= 0) { + return (500L * 1024 * 1024) + "b"; + } + long total = Math.max(nativeLimit.getBytes() * 3 / 100, 0L); + return total + "b"; + } + private static String validateEvictionType(String value) { String upper = value.toUpperCase(Locale.ROOT); if (!upper.equals("LRU") && !upper.equals("LFU")) { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java index 1b95478fd83aa..60ef93ae83610 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java @@ -13,14 +13,11 @@ import org.opensearch.be.datafusion.nativelib.NativeBridge; import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Setting; -import org.opensearch.core.common.unit.ByteSizeValue; import static org.opensearch.be.datafusion.cache.CacheSettings.METADATA_CACHE_ENABLED; import static org.opensearch.be.datafusion.cache.CacheSettings.METADATA_CACHE_EVICTION_TYPE; -import static org.opensearch.be.datafusion.cache.CacheSettings.METADATA_CACHE_SIZE_LIMIT; import static org.opensearch.be.datafusion.cache.CacheSettings.STATISTICS_CACHE_ENABLED; import static org.opensearch.be.datafusion.cache.CacheSettings.STATISTICS_CACHE_EVICTION_TYPE; -import static org.opensearch.be.datafusion.cache.CacheSettings.STATISTICS_CACHE_SIZE_LIMIT; /** * Utility class for cache initialization and configuration. @@ -36,27 +33,31 @@ private CacheUtils() {} * Cache type enumeration with associated settings. */ public enum CacheType { - METADATA("METADATA", METADATA_CACHE_ENABLED, METADATA_CACHE_SIZE_LIMIT, METADATA_CACHE_EVICTION_TYPE), - - STATISTICS("STATISTICS", STATISTICS_CACHE_ENABLED, STATISTICS_CACHE_SIZE_LIMIT, STATISTICS_CACHE_EVICTION_TYPE); + METADATA("METADATA", METADATA_CACHE_ENABLED, METADATA_CACHE_EVICTION_TYPE) { + @Override + public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit) { + return metaLimit; + } + }, + STATISTICS("STATISTICS", STATISTICS_CACHE_ENABLED, STATISTICS_CACHE_EVICTION_TYPE) { + @Override + public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit) { + return statsLimit; + } + }; private final String cacheTypeName; private final Setting enabledSetting; - private final Setting sizeLimitSetting; private final Setting evictionTypeSetting; - CacheType( - String cacheTypeName, - Setting enabledSetting, - Setting sizeLimitSetting, - Setting evictionTypeSetting - ) { + CacheType(String cacheTypeName, Setting enabledSetting, Setting evictionTypeSetting) { this.cacheTypeName = cacheTypeName; this.enabledSetting = enabledSetting; - this.sizeLimitSetting = sizeLimitSetting; this.evictionTypeSetting = evictionTypeSetting; } + public abstract long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit); + public boolean isEnabled(ClusterSettings clusterSettings) { return clusterSettings.get(enabledSetting); } @@ -65,18 +66,10 @@ public Setting getEnabledSetting() { return enabledSetting; } - public Setting getSizeLimitSetting() { - return sizeLimitSetting; - } - public Setting getEvictionTypeSetting() { return evictionTypeSetting; } - public ByteSizeValue getSizeLimit(ClusterSettings clusterSettings) { - return clusterSettings.get(sizeLimitSetting); - } - public String getEvictionType(ClusterSettings clusterSettings) { return clusterSettings.get(evictionTypeSetting); } @@ -97,26 +90,51 @@ public static NativeCacheManagerHandle createCacheConfig(ClusterSettings cluster long cacheManagerPtr = NativeBridge.createCustomCacheManager(); NativeCacheManagerHandle handle = new NativeCacheManagerHandle(cacheManagerPtr); - // Configure each enabled cache type + // All three caches share the unified METADATA_INDEX_CACHE_TOTAL_SIZE budget. + // Compute absolute sizes from the percent model BEFORE creating the caches so + // the footer metadata cache (created in the loop below) gets the correct limit + // rather than the old standalone METADATA_CACHE_SIZE_LIMIT (hardcoded 250 MB). + long total = clusterSettings.get(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE).getBytes(); + int metaPct = clusterSettings.get(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); + int oiPct = clusterSettings.get(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); + int ciPct = clusterSettings.get(CacheSettings.COLUMN_INDEX_CACHE_PERCENT); + int statsPct = clusterSettings.get(CacheSettings.STATISTICS_CACHE_PERCENT); + long metaLimit = total * metaPct / 100; + long oiLimit = total * oiPct / 100; + long ciLimit = total * ciPct / 100; + long statsLimit = total * statsPct / 100; + logger.info( + "Configuring metadata caches: total={} bytes " + + "(footer={}% → {} bytes, offset_index={}% → {} bytes, column_index={}% → {} bytes, statistics={}% → {} bytes)", + total, + metaPct, + metaLimit, + oiPct, + oiLimit, + ciPct, + ciLimit, + statsPct, + statsLimit + ); + + // Configure each enabled cache type using the percent-derived limit. for (CacheType type : CacheType.values()) { if (type.isEnabled(clusterSettings)) { + long sizeLimit = type.sizeBytes(metaLimit, oiLimit, ciLimit, statsLimit); logger.info( "Configuring {} cache: size={} bytes, eviction={}", type.getCacheTypeName(), - type.getSizeLimit(clusterSettings).getBytes(), - type.getEvictionType(clusterSettings) - ); - - NativeBridge.createCache( - handle.getPointer(), - type.cacheTypeName, - type.getSizeLimit(clusterSettings).getBytes(), + sizeLimit, type.getEvictionType(clusterSettings) ); + NativeBridge.createCache(handle.getPointer(), type.cacheTypeName, sizeLimit, type.getEvictionType(clusterSettings)); } else { logger.debug("Cache type {} is disabled", type.getCacheTypeName()); } } + + NativeBridge.setColumnIndexCacheLimit(ciLimit); + NativeBridge.setOffsetIndexCacheLimit(oiLimit); logger.info("Cache configuration completed"); return handle; } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index ac9e967022152..d6040dd6e7344 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -134,6 +134,9 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle CREATE_SESSION_CONTEXT_INDEXED; private static final MethodHandle CLOSE_SESSION_CONTEXT; private static final MethodHandle EXECUTE_WITH_CONTEXT; + private static final MethodHandle SET_COLUMN_INDEX_CACHE_LIMIT; + private static final MethodHandle SET_OFFSET_INDEX_CACHE_LIMIT; + private static final MethodHandle CLEAR_SCOPED_PAGE_INDEX_CACHE; private static final MethodHandle CANCEL_QUERY; private static final MethodHandle SET_CANCEL_STATS_THRESHOLD_MS; private static final MethodHandle STATS; @@ -503,6 +506,18 @@ private static RuntimeException rethrowConverted(RuntimeException e) { ) ); + SET_COLUMN_INDEX_CACHE_LIMIT = linker.downcallHandle( + lib.find("df_set_column_index_cache_limit").orElseThrow(), + FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) + ); + SET_OFFSET_INDEX_CACHE_LIMIT = linker.downcallHandle( + lib.find("df_set_offset_index_cache_limit").orElseThrow(), + FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) + ); + CLEAR_SCOPED_PAGE_INDEX_CACHE = linker.downcallHandle( + lib.find("df_clear_scoped_page_index_cache").orElseThrow(), + FunctionDescriptor.of(ValueLayout.JAVA_LONG) + ); CANCEL_QUERY = linker.downcallHandle(lib.find("df_cancel_query").orElseThrow(), FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG)); SET_CANCEL_STATS_THRESHOLD_MS = linker.downcallHandle( @@ -1625,5 +1640,59 @@ public static boolean cacheManagerGetItemByCacheType(long runtimePtr, String cac } } + /** + * Sets the byte budget of the process-global scoped ColumnIndex cache. + * Shrinking evicts LRU entries immediately. Zero is ignored. + */ + public static void setColumnIndexCacheLimit(long sizeLimitBytes) { + try (var call = new NativeCall()) { + call.invoke(SET_COLUMN_INDEX_CACHE_LIMIT, sizeLimitBytes); + } + } + + /** + * Sets the byte budget of the process-global scoped OffsetIndex cache. + * Shrinking evicts LRU entries immediately. Zero is ignored. + */ + public static void setOffsetIndexCacheLimit(long sizeLimitBytes) { + try (var call = new NativeCall()) { + call.invoke(SET_OFFSET_INDEX_CACHE_LIMIT, sizeLimitBytes); + } + } + + /** + * Clears the process-global scoped page-index cache (drops entries + resets + * counters, keeps the budget). For operational testing. + */ + public static void clearScopedPageIndexCache() { + try (var call = new NativeCall()) { + call.invoke(CLEAR_SCOPED_PAGE_INDEX_CACHE); + } + } + + /** Clears the footer metadata cache. */ + public static void clearFooterCache() { + // TODO(PR1): wire to df_clear_footer_cache when available + try (var call = new NativeCall()) { + call.invoke(CLEAR_SCOPED_PAGE_INDEX_CACHE); + } + } + + /** Clears the scoped ColumnIndex (predicate) cache. */ + public static void clearColumnIndexCache() { + // TODO(PR1): wire to df_clear_column_index_cache when available + try (var call = new NativeCall()) { + call.invoke(CLEAR_SCOPED_PAGE_INDEX_CACHE); + } + } + + /** Clears the scoped OffsetIndex (projection) cache. */ + public static void clearOffsetIndexCache() { + // TODO(PR1): wire to df_clear_offset_index_cache when available + try (var call = new NativeCall()) { + call.invoke(CLEAR_SCOPED_PAGE_INDEX_CACHE); + } + } + public static void initLogger() {} } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/StatsLayout.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/StatsLayout.java index 8e90357fcac53..5bf4a36480f7a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/StatsLayout.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/StatsLayout.java @@ -29,7 +29,7 @@ * *

    The layout contains 10 named groups (2 runtime × 9 fields + 4 task monitor × 5 fields * + 1 partition gate × 8 fields + 1 adaptive budget × 2 fields + 1 cache stats × 10 fields - * + 1 search stats × 17 fields = 75 longs = 600 bytes). + * + 1 search stats × 17 fields = 85 longs = 680 bytes). The cache stats group holds three sub-caches × 5 fields each: metadata, statistics, and scoped page-index.. */ public final class StatsLayout { @@ -99,8 +99,8 @@ public final class StatsLayout { ); static { - if (LAYOUT.byteSize() != 75 * Long.BYTES) { - throw new AssertionError("StatsLayout size mismatch: expected " + (75 * Long.BYTES) + " but got " + LAYOUT.byteSize()); + if (LAYOUT.byteSize() != 85 * Long.BYTES) { + throw new AssertionError("StatsLayout size mismatch: expected " + (85 * Long.BYTES) + " but got " + LAYOUT.byteSize()); } } @@ -182,6 +182,20 @@ public final class StatsLayout { private static final VarHandle CACHE_STATS_MEMORY_BYTES = cacheHandle("statistics_cache", "memory_bytes"); private static final VarHandle CACHE_STATS_SIZE_LIMIT_BYTES = cacheHandle("statistics_cache", "size_limit_bytes"); + // ---- VarHandles for cache_stats.column_index_cache fields ---- + private static final VarHandle CACHE_CI_HIT_COUNT = cacheHandle("column_index_cache", "hit_count"); + private static final VarHandle CACHE_CI_MISS_COUNT = cacheHandle("column_index_cache", "miss_count"); + private static final VarHandle CACHE_CI_ENTRY_COUNT = cacheHandle("column_index_cache", "entry_count"); + private static final VarHandle CACHE_CI_MEMORY_BYTES = cacheHandle("column_index_cache", "memory_bytes"); + private static final VarHandle CACHE_CI_SIZE_LIMIT_BYTES = cacheHandle("column_index_cache", "size_limit_bytes"); + + // ---- VarHandles for cache_stats.offset_index_cache fields ---- + private static final VarHandle CACHE_OI_HIT_COUNT = cacheHandle("offset_index_cache", "hit_count"); + private static final VarHandle CACHE_OI_MISS_COUNT = cacheHandle("offset_index_cache", "miss_count"); + private static final VarHandle CACHE_OI_ENTRY_COUNT = cacheHandle("offset_index_cache", "entry_count"); + private static final VarHandle CACHE_OI_MEMORY_BYTES = cacheHandle("offset_index_cache", "memory_bytes"); + private static final VarHandle CACHE_OI_SIZE_LIMIT_BYTES = cacheHandle("offset_index_cache", "size_limit_bytes"); + // ---- VarHandles for search_stats fields ---- private static final VarHandle SS_LISTING_TABLE_SCAN = handle("search_stats", "listing_table_scan"); private static final VarHandle SS_SINGLE_COLLECTOR_SCAN = handle("search_stats", "single_collector_scan"); @@ -311,7 +325,21 @@ public static CacheStats readCacheStats(MemorySegment seg) { (long) CACHE_STATS_MEMORY_BYTES.get(seg, 0L), (long) CACHE_STATS_SIZE_LIMIT_BYTES.get(seg, 0L) ); - return new CacheStats(metadata, statistics); + CacheGroupStats columnIndex = new CacheGroupStats( + (long) CACHE_CI_HIT_COUNT.get(seg, 0L), + (long) CACHE_CI_MISS_COUNT.get(seg, 0L), + (long) CACHE_CI_ENTRY_COUNT.get(seg, 0L), + (long) CACHE_CI_MEMORY_BYTES.get(seg, 0L), + (long) CACHE_CI_SIZE_LIMIT_BYTES.get(seg, 0L) + ); + CacheGroupStats offsetIndex = new CacheGroupStats( + (long) CACHE_OI_HIT_COUNT.get(seg, 0L), + (long) CACHE_OI_MISS_COUNT.get(seg, 0L), + (long) CACHE_OI_ENTRY_COUNT.get(seg, 0L), + (long) CACHE_OI_MEMORY_BYTES.get(seg, 0L), + (long) CACHE_OI_SIZE_LIMIT_BYTES.get(seg, 0L) + ); + return new CacheStats(metadata, statistics, columnIndex, offsetIndex); } /** @@ -402,7 +430,12 @@ private static StructLayout cacheGroup(String name) { } private static StructLayout cacheStatsGroup(String name) { - return MemoryLayout.structLayout(cacheGroup("metadata_cache"), cacheGroup("statistics_cache")).withName(name); + return MemoryLayout.structLayout( + cacheGroup("metadata_cache"), + cacheGroup("statistics_cache"), + cacheGroup("column_index_cache"), + cacheGroup("offset_index_cache") + ).withName(name); } private static StructLayout searchStatsGroup(String name) { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/stats/CacheStats.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/stats/CacheStats.java index 3f01c221f3c68..9307ce46e59dd 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/stats/CacheStats.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/stats/CacheStats.java @@ -18,44 +18,52 @@ import java.util.Objects; /** - * Stats for the two parquet caches owned by {@code CustomCacheManager}: - * the parquet metadata (footer) cache and the column-statistics cache. + * Stats for the four DataFusion parquet caches: + *

      + *
    • {@code metadata_cache} — footer metadata (per-file parquet footer, row-group stats)
      • + *
    • {@code statistics_cache} — file-level row-group statistics
      • + *
    • {@code column_index_cache} — predicate-driven ColumnIndex (per-page string min/max), + * keyed per {@code (file, col, rg)} cell
      • + *
    • {@code offset_index_cache} — projection-driven OffsetIndex (page byte offsets), + * keyed per {@code (file, col)} cell
      • + *
    * - *

    Each sub-group reports five fields. Disabled caches surface as all-zero - * groups (in particular {@code size_limit_bytes == 0}); the JSON shape stays - * symmetric so clients can render the response uniformly. + *

    Each sub-group reports five fields. Disabled caches surface as all-zero groups + * (in particular {@code size_limit_bytes == 0}); the JSON shape stays symmetric + * so clients can render the response uniformly. */ public class CacheStats implements Writeable, ToXContentFragment { private final CacheGroupStats metadataCache; private final CacheGroupStats statisticsCache; + private final CacheGroupStats columnIndexCache; + private final CacheGroupStats offsetIndexCache; - /** - * Construct from individual sub-group stats. - * - * @param metadataCache metadata cache counters (must not be null) - * @param statisticsCache statistics cache counters (must not be null) - */ - public CacheStats(CacheGroupStats metadataCache, CacheGroupStats statisticsCache) { + public CacheStats( + CacheGroupStats metadataCache, + CacheGroupStats statisticsCache, + CacheGroupStats columnIndexCache, + CacheGroupStats offsetIndexCache + ) { this.metadataCache = Objects.requireNonNull(metadataCache); this.statisticsCache = Objects.requireNonNull(statisticsCache); + this.columnIndexCache = Objects.requireNonNull(columnIndexCache); + this.offsetIndexCache = Objects.requireNonNull(offsetIndexCache); } - /** - * Deserialize from stream. - * - * @param in the stream input - * @throws IOException if deserialization fails - */ public CacheStats(StreamInput in) throws IOException { this.metadataCache = new CacheGroupStats(in); this.statisticsCache = new CacheGroupStats(in); + this.columnIndexCache = new CacheGroupStats(in); + this.offsetIndexCache = new CacheGroupStats(in); } @Override public void writeTo(StreamOutput out) throws IOException { metadataCache.writeTo(out); statisticsCache.writeTo(out); + columnIndexCache.writeTo(out); + offsetIndexCache.writeTo(out); } @Override @@ -67,30 +75,45 @@ public XContentBuilder toXContent(XContentBuilder builder, Params params) throws builder.startObject("statistics_cache"); statisticsCache.toXContent(builder); builder.endObject(); + builder.startObject("column_index_cache"); + columnIndexCache.toXContent(builder); + builder.endObject(); + builder.startObject("offset_index_cache"); + offsetIndexCache.toXContent(builder); + builder.endObject(); builder.endObject(); return builder; } - /** Returns the metadata cache counters. */ public CacheGroupStats getMetadataCache() { return metadataCache; } - /** Returns the statistics cache counters. */ public CacheGroupStats getStatisticsCache() { return statisticsCache; } + public CacheGroupStats getColumnIndexCache() { + return columnIndexCache; + } + + public CacheGroupStats getOffsetIndexCache() { + return offsetIndexCache; + } + @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; CacheStats that = (CacheStats) o; - return Objects.equals(metadataCache, that.metadataCache) && Objects.equals(statisticsCache, that.statisticsCache); + return Objects.equals(metadataCache, that.metadataCache) + && Objects.equals(statisticsCache, that.statisticsCache) + && Objects.equals(columnIndexCache, that.columnIndexCache) + && Objects.equals(offsetIndexCache, that.offsetIndexCache); } @Override public int hashCode() { - return Objects.hash(metadataCache, statisticsCache); + return Objects.hash(metadataCache, statisticsCache, columnIndexCache, offsetIndexCache); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index 43b89b3ccee86..9eccbd86de45c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -115,7 +115,7 @@ public void testGetSettingsReturnsAllIndexedSettings() { public void testGetSettingsReturnsTotalExpectedCount() { try (DataFusionPlugin plugin = new DataFusionPlugin()) { List> settings = plugin.getSettings(); - assertEquals(28, settings.size()); + assertEquals(31, settings.size()); } catch (Exception e) { throw new AssertionError(e); } @@ -203,11 +203,11 @@ public void testDeriveMemoryPoolLimitDefaultUnsetReturnsLongMaxValue() { } public void testDeriveMemoryPoolLimitDefaultUsesNativeMemoryLimit() { - // 10 GiB native memory limit — default takes 74% straight from limit, not + // 10 GiB native memory limit — default takes 71% straight from limit, not // from limit - buffer_percent (which is AC's throttle margin, not a framework - // budget reduction). 74% of 10 GiB. + // budget reduction). 71% of 10 GiB. Settings s = Settings.builder().put("node.native_memory.limit", "10gb").build(); - long expected = (10L * 1024 * 1024 * 1024) * 74 / 100; + long expected = (10L * 1024 * 1024 * 1024) * 71 / 100; assertEquals(Long.toString(expected), DataFusionPlugin.deriveMemoryPoolLimitDefault(s)); } @@ -215,14 +215,14 @@ public void testDeriveMemoryPoolLimitDefaultIgnoresBufferPercent() { // node.native_memory.buffer_percent is AC's throttle margin. The framework default // takes its fraction off node.native_memory.limit directly so the buffer can sit // between AC's throttle threshold and the framework's hard cap. - // 1000 bytes limit, 20% buffer => pool max still 74% of 1000 = 740. + // 1000 bytes limit, 20% buffer => pool max still 71% of 1000 = 710. Settings s = Settings.builder().put("node.native_memory.limit", "1000b").put("node.native_memory.buffer_percent", 20).build(); - assertEquals("740", DataFusionPlugin.deriveMemoryPoolLimitDefault(s)); + assertEquals("710", DataFusionPlugin.deriveMemoryPoolLimitDefault(s)); } public void testMemoryPoolLimitSettingExposesDerivedDefault() { Settings s = Settings.builder().put("node.native_memory.limit", "10gb").build(); - long expected = (10L * 1024 * 1024 * 1024) * 74 / 100; + long expected = (10L * 1024 * 1024 * 1024) * 71 / 100; assertEquals(Long.valueOf(expected), DataFusionPlugin.DATAFUSION_MEMORY_POOL_LIMIT.get(s)); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java index 002e8e2e1e976..df2f51570ca95 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java @@ -166,12 +166,15 @@ public void testServiceWithoutCacheReturnsNullCacheManager() { public void testPluginRegistersAllCacheSettings() { List> settings = new DataFusionPlugin().getSettings(); - assertTrue(settings.contains(CacheSettings.METADATA_CACHE_SIZE_LIMIT)); - assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_SIZE_LIMIT)); assertTrue(settings.contains(CacheSettings.METADATA_CACHE_EVICTION_TYPE)); assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE)); assertTrue(settings.contains(CacheSettings.METADATA_CACHE_ENABLED)); assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_ENABLED)); + assertTrue(settings.contains(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE)); + assertTrue(settings.contains(CacheSettings.FOOTER_METADATA_CACHE_PERCENT)); + assertTrue(settings.contains(CacheSettings.OFFSET_INDEX_CACHE_PERCENT)); + assertTrue(settings.contains(CacheSettings.COLUMN_INDEX_CACHE_PERCENT)); + assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_PERCENT)); } public void testNativeBridgeCacheManagerLifecycle() { @@ -223,11 +226,14 @@ public void testCacheManagerHandleConsumedAfterRuntimeCreation() { private ClusterSettings createCacheClusterSettings(Settings settings) { Set> all = new HashSet<>(BUILT_IN_CLUSTER_SETTINGS); all.add(CacheSettings.METADATA_CACHE_ENABLED); - all.add(CacheSettings.METADATA_CACHE_SIZE_LIMIT); all.add(CacheSettings.METADATA_CACHE_EVICTION_TYPE); all.add(CacheSettings.STATISTICS_CACHE_ENABLED); - all.add(CacheSettings.STATISTICS_CACHE_SIZE_LIMIT); all.add(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE); + all.add(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE); + all.add(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); + all.add(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); + all.add(CacheSettings.COLUMN_INDEX_CACHE_PERCENT); + all.add(CacheSettings.STATISTICS_CACHE_PERCENT); all.add(DataFusionPlugin.DATAFUSION_MEMORY_POOL_LIMIT); all.add(DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT); return new ClusterSettings(settings, all); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java index f09497c72564c..dce2e191e444d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java @@ -36,11 +36,14 @@ private void setup() { Set> clusterSettingsToAdd = new HashSet<>(BUILT_IN_CLUSTER_SETTINGS); clusterSettingsToAdd.add(CacheSettings.METADATA_CACHE_ENABLED); - clusterSettingsToAdd.add(CacheSettings.METADATA_CACHE_SIZE_LIMIT); clusterSettingsToAdd.add(CacheSettings.METADATA_CACHE_EVICTION_TYPE); clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_ENABLED); - clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_SIZE_LIMIT); clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE); + clusterSettingsToAdd.add(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE); + clusterSettingsToAdd.add(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); + clusterSettingsToAdd.add(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); + clusterSettingsToAdd.add(CacheSettings.COLUMN_INDEX_CACHE_PERCENT); + clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_PERCENT); clusterSettingsToAdd.add(DataFusionPlugin.DATAFUSION_MEMORY_POOL_LIMIT); clusterSettingsToAdd.add(DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java index 24c7303192f2c..b452b6b3e50fc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java @@ -69,7 +69,7 @@ public void testMaxCollectorParallelismSettingDefinition() { } public void testAllSettingsContainsAllExpectedSettings() { - assertEquals(28, DatafusionSettings.ALL_SETTINGS.size()); + assertEquals(31, DatafusionSettings.ALL_SETTINGS.size()); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_REDUCE_TARGET_PARTITIONS)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_SPILL_DIRECTORY)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_BATCH_SIZE)); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java new file mode 100644 index 0000000000000..7273a8a0f728b --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java @@ -0,0 +1,111 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.common.io.stream.BytesStreamOutput; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.test.OpenSearchTestCase; + +import java.io.IOException; + +/** + * Unit tests for {@link ClearCacheNodesRequest} and {@link ClearCacheNodeRequest}. + * Verifies flag semantics, isClearAll() logic, and round-trip serialization. + */ +public class ClearCacheRequestTests extends OpenSearchTestCase { + + // ── ClearCacheNodesRequest ──────────────────────────────────────────────── + + public void testDefaultNodesRequestIsClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertTrue("no flags set → isClearAll()", req.isClearAll()); + } + + public void testSetFooterOnlyIsNotClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + req.setFooter(true); + assertTrue(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertFalse("footer=true → not clear-all", req.isClearAll()); + } + + public void testSetColumnOnlyIsNotClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + req.setColumn(true); + assertFalse(req.isFooter()); + assertTrue(req.isColumn()); + assertFalse(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testSetOffsetOnlyIsNotClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + req.setOffset(true); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertTrue(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testAllFlagsSetIsNotClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + req.setFooter(true); + req.setColumn(true); + req.setOffset(true); + // isClearAll() is false when any flag is explicitly set — caller chose specific caches + assertFalse(req.isClearAll()); + } + + public void testNodesRequestRoundTrip() throws IOException { + ClearCacheNodesRequest original = new ClearCacheNodesRequest(); + original.setFooter(true); + original.setColumn(false); + original.setOffset(true); + + BytesStreamOutput out = new BytesStreamOutput(); + original.writeTo(out); + StreamInput in = out.bytes().streamInput(); + ClearCacheNodesRequest deserialized = new ClearCacheNodesRequest(in); + + assertEquals(original.isFooter(), deserialized.isFooter()); + assertEquals(original.isColumn(), deserialized.isColumn()); + assertEquals(original.isOffset(), deserialized.isOffset()); + assertEquals(original.isClearAll(), deserialized.isClearAll()); + } + + // ── ClearCacheNodeRequest ───────────────────────────────────────────────── + + public void testNodeRequestIsClearAllWhenNoFlagsSet() { + ClearCacheNodeRequest req = new ClearCacheNodeRequest(false, false, false); + assertTrue(req.isClearAll()); + } + + public void testNodeRequestIsNotClearAllWhenFlagSet() { + ClearCacheNodeRequest req = new ClearCacheNodeRequest(true, false, false); + assertFalse(req.isClearAll()); + } + + public void testNodeRequestRoundTrip() throws IOException { + ClearCacheNodeRequest original = new ClearCacheNodeRequest(false, true, true); + + BytesStreamOutput out = new BytesStreamOutput(); + original.writeTo(out); + StreamInput in = out.bytes().streamInput(); + ClearCacheNodeRequest deserialized = new ClearCacheNodeRequest(in); + + assertFalse(deserialized.isFooter()); + assertTrue(deserialized.isColumn()); + assertTrue(deserialized.isOffset()); + assertFalse(deserialized.isClearAll()); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java new file mode 100644 index 0000000000000..3f5a1e8c2631d --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java @@ -0,0 +1,128 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action.stats; + +import org.opensearch.action.ActionRequest; +import org.opensearch.action.ActionType; +import org.opensearch.core.action.ActionListener; +import org.opensearch.core.action.ActionResponse; +import org.opensearch.rest.RestHandler.Route; +import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.test.client.NoOpNodeClient; +import org.opensearch.test.rest.FakeRestChannel; +import org.opensearch.test.rest.FakeRestRequest; +import org.opensearch.transport.client.node.NodeClient; + +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.concurrent.atomic.AtomicReference; + +import static org.opensearch.rest.RestRequest.Method.POST; + +/** + * Unit tests for {@link RestClearCacheAction}. + */ +public class RestClearCacheActionTests extends OpenSearchTestCase { + + private RestClearCacheAction action; + + @Override + public void setUp() throws Exception { + super.setUp(); + action = new RestClearCacheAction(); + } + + public void testSinglePostRoute() { + List routes = action.routes(); + assertEquals(1, routes.size()); + assertEquals(POST, routes.get(0).getMethod()); + assertEquals("/_plugins/_analytics_backend_datafusion/cache/_clear", routes.get(0).getPath()); + } + + public void testName() { + assertEquals("datafusion_clear_cache_action", action.getName()); + } + + public void testDoesNotTripCircuitBreaker() { + assertFalse(action.canTripCircuitBreaker()); + } + + public void testNoParamsSendsClearAllRequest() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of()); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertTrue("no params → isClearAll()", req.isClearAll()); + } + + public void testFooterParamSetsFooterFlag() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("footer", "true")); + assertTrue(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testColumnParamSetsColumnFlag() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("column", "true")); + assertFalse(req.isFooter()); + assertTrue(req.isColumn()); + assertFalse(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testOffsetParamSetsOffsetFlag() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("offset", "true")); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertTrue(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testMultipleParamsSetsMultipleFlags() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("column", "true", "offset", "true")); + assertFalse(req.isFooter()); + assertTrue(req.isColumn()); + assertTrue(req.isOffset()); + assertFalse(req.isClearAll()); + } + + public void testFalseParamDoesNotSetFlag() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("footer", "false", "column", "true")); + assertFalse(req.isFooter()); + assertTrue(req.isColumn()); + assertFalse(req.isClearAll()); + } + + @SuppressWarnings("unchecked") + private ClearCacheNodesRequest captureRequest(Map params) throws Exception { + AtomicReference captured = new AtomicReference<>(); + try (NodeClient client = new NoOpNodeClient(getTestName()) { + @Override + public void doExecute( + ActionType actionType, + Request request, + ActionListener listener + ) { + if (request instanceof ClearCacheNodesRequest) { + captured.set((ClearCacheNodesRequest) request); + } + } + }) { + FakeRestRequest restRequest = new FakeRestRequest.Builder(xContentRegistry()).withPath( + "/_plugins/_analytics_backend_datafusion/cache/_clear" + ).withParams(new HashMap<>(params)).build(); + FakeRestChannel channel = new FakeRestChannel(restRequest, false, 1); + action.handleRequest(restRequest, channel, client); + } + assertNotNull("request must have been captured", captured.get()); + return captured.get(); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java new file mode 100644 index 0000000000000..9a8b14a279406 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java @@ -0,0 +1,112 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.cache; + +import org.opensearch.test.OpenSearchTestCase; + +/** + * Tests for {@link CacheSettings#validatePercentSum} and + * {@link CacheSettings#computeCacheSizes}. + */ +public class CacheSettingsPercentValidationTests extends OpenSearchTestCase { + + // ── validatePercentSum ──────────────────────────────────────────────────── + + public void testDefaultsSumTo100() { + // Defaults: 48 + 34 + 13 + 5 = 100 + CacheSettings.validatePercentSum(48, 34, 13, 5); + } + + public void testSumExactly100Passes() { + CacheSettings.validatePercentSum(60, 25, 10, 5); + CacheSettings.validatePercentSum(33, 34, 28, 5); + CacheSettings.validatePercentSum(1, 1, 97, 1); + } + + public void testSumUnder100PassesHeadroomAccepted() { + CacheSettings.validatePercentSum(48, 34, 13, 1); // 96% — 4% unused + CacheSettings.validatePercentSum(40, 30, 10, 5); // 85% — headroom OK + CacheSettings.validatePercentSum(1, 1, 1, 1); // 4% — valid + } + + public void testSinglePercentRaisedAloneBreaks() { + IllegalArgumentException ex = expectThrows( + IllegalArgumentException.class, + () -> CacheSettings.validatePercentSum(48, 34, 13, 15) // 110 + ); + assertTrue("error must mention sum", ex.getMessage().contains("sum=110")); + assertTrue("error must name statistics key", ex.getMessage().contains("statistics_percent")); + } + + public void testSumOver100Throws() { + IllegalArgumentException ex = expectThrows( + IllegalArgumentException.class, + () -> CacheSettings.validatePercentSum(50, 35, 20, 5) // 110 + ); + assertTrue("error must mention sum", ex.getMessage().contains("sum=110")); + } + + public void testAtomicUpdateAllFourPasses() { + CacheSettings.validatePercentSum(45, 33, 12, 5); // 95% — headroom allowed + CacheSettings.validatePercentSum(40, 40, 15, 5); // 100% — exact + } + + public void testErrorMessageNamesAllKeys() { + IllegalArgumentException ex = expectThrows( + IllegalArgumentException.class, + () -> CacheSettings.validatePercentSum(48, 34, 13, 10) // 105 + ); + assertTrue(ex.getMessage().contains("footer_metadata_percent")); + assertTrue(ex.getMessage().contains("offset_index_percent")); + assertTrue(ex.getMessage().contains("column_index_percent")); + assertTrue(ex.getMessage().contains("statistics_percent")); + assertTrue(ex.getMessage().contains("sum=105")); + } + + // ── computeCacheSizes ───────────────────────────────────────────────────── + + public void testComputeSizesDefaultSplit() { + long total = 1_150_000_000L; // ~1.15 GB (3% of 38.4 GB native limit on r6g.2xlarge) + long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, total); + assertEquals(4, sizes.length); + assertEquals(total * 48 / 100, sizes[0]); // footer ~552 MB + assertEquals(total * 34 / 100, sizes[1]); // offset index ~391 MB + assertEquals(total * 13 / 100, sizes[2]); // column index ~150 MB + assertEquals(total * 5 / 100, sizes[3]); // statistics ~58 MB + } + + public void testComputeSizesStatisticsNotZero() { + long total = 1_000_000L; + long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, total); + assertTrue("statistics cache must get non-zero bytes", sizes[3] > 0); + assertEquals(50_000L, sizes[3]); // 5% of 1_000_000 + } + + public void testComputeSizesZeroTotalGivesZeros() { + long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, 0L); + for (long s : sizes) + assertEquals(0L, s); + } + + public void testComputeSizesSumWithinBudget() { + long total = 1_000_000L; + long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, total); + long sum = sizes[0] + sizes[1] + sizes[2] + sizes[3]; + assertTrue("sum must not exceed total", sum <= total); + // 48+34+13+5=100, integer division may lose up to 3 bytes + assertTrue("sum must be close to total", sum >= total - 3); + } + + public void testStatisticsUsesPercentDerivedLimit() { + // Statistics bytes come from the unified percent budget, not a standalone hardcoded limit. + long total = 1_000_000L; + long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, total); + assertEquals("statistics cache must use percent-derived limit", 50_000L, sizes[3]); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutPropertyTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutPropertyTests.java index 4fd7679ce5b9b..3327d2d9f4863 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutPropertyTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutPropertyTests.java @@ -35,7 +35,7 @@ public class StatsLayoutPropertyTests extends OpenSearchTestCase { private static final int TRIES = 100; - private static final int FIELD_COUNT = 75; + private static final int FIELD_COUNT = 85; // ---- Generators ---- @@ -187,26 +187,36 @@ public void testPackThenDecodeRoundTripWithCpu() { assertEquals(values[55], cs.getStatisticsCache().entryCount); assertEquals(values[56], cs.getStatisticsCache().memoryBytes); assertEquals(values[57], cs.getStatisticsCache().sizeLimitBytes); - - // Search stats (offsets 58-74) + assertEquals(values[58], cs.getColumnIndexCache().hitCount); + assertEquals(values[59], cs.getColumnIndexCache().missCount); + assertEquals(values[60], cs.getColumnIndexCache().entryCount); + assertEquals(values[61], cs.getColumnIndexCache().memoryBytes); + assertEquals(values[62], cs.getColumnIndexCache().sizeLimitBytes); + assertEquals(values[63], cs.getOffsetIndexCache().hitCount); + assertEquals(values[64], cs.getOffsetIndexCache().missCount); + assertEquals(values[65], cs.getOffsetIndexCache().entryCount); + assertEquals(values[66], cs.getOffsetIndexCache().memoryBytes); + assertEquals(values[67], cs.getOffsetIndexCache().sizeLimitBytes); + + // Search stats (offsets 68-84) var ss = StatsLayout.readSearchStats(seg); - assertEquals(values[58], ss.listingTableScan); - assertEquals(values[59], ss.singleCollectorScan); - assertEquals(values[60], ss.bitmapTreeScan); - assertEquals(values[61], ss.delegationCalls); - assertEquals(values[62], ss.rgProcessed); - assertEquals(values[63], ss.rgSkipped); - assertEquals(values[64], ss.parquetScanTotalTimeMs); - assertEquals(values[65], ss.parquetScanUntilDataTimeMs); - assertEquals(values[66], ss.parquetProcessingTimeMs); - assertEquals(values[67], ss.parquetBytesScanned); - assertEquals(values[68], ss.prefetchWaitTimeMs); - assertEquals(values[69], ss.prefetchWaitCount); - assertEquals(values[70], ss.elapsedComputeMs); - assertEquals(values[71], ss.buildMaskTimeMs); - assertEquals(values[72], ss.onBatchMaskTimeMs); - assertEquals(values[73], ss.filterRecordBatchTimeMs); - assertEquals(values[74], ss.objectStoreReadTimeMs); + assertEquals(values[68], ss.listingTableScan); + assertEquals(values[69], ss.singleCollectorScan); + assertEquals(values[70], ss.bitmapTreeScan); + assertEquals(values[71], ss.delegationCalls); + assertEquals(values[72], ss.rgProcessed); + assertEquals(values[73], ss.rgSkipped); + assertEquals(values[74], ss.parquetScanTotalTimeMs); + assertEquals(values[75], ss.parquetScanUntilDataTimeMs); + assertEquals(values[76], ss.parquetProcessingTimeMs); + assertEquals(values[77], ss.parquetBytesScanned); + assertEquals(values[78], ss.prefetchWaitTimeMs); + assertEquals(values[79], ss.prefetchWaitCount); + assertEquals(values[80], ss.elapsedComputeMs); + assertEquals(values[81], ss.buildMaskTimeMs); + assertEquals(values[82], ss.onBatchMaskTimeMs); + assertEquals(values[83], ss.filterRecordBatchTimeMs); + assertEquals(values[84], ss.objectStoreReadTimeMs); } } } @@ -328,6 +338,18 @@ public void testDecodeThenReencodeIdentity() { cs.getStatisticsCache().entryCount, cs.getStatisticsCache().memoryBytes, cs.getStatisticsCache().sizeLimitBytes, + // cache_stats.column_index_cache (5) + cs.getColumnIndexCache().hitCount, + cs.getColumnIndexCache().missCount, + cs.getColumnIndexCache().entryCount, + cs.getColumnIndexCache().memoryBytes, + cs.getColumnIndexCache().sizeLimitBytes, + // cache_stats.offset_index_cache (5) + cs.getOffsetIndexCache().hitCount, + cs.getOffsetIndexCache().missCount, + cs.getOffsetIndexCache().entryCount, + cs.getOffsetIndexCache().memoryBytes, + cs.getOffsetIndexCache().sizeLimitBytes, // search_stats (17) ss.listingTableScan, ss.singleCollectorScan, diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutTests.java index 9a72c2af21a26..79aa25dd45295 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/nativelib/StatsLayoutTests.java @@ -22,10 +22,10 @@ */ public class StatsLayoutTests extends OpenSearchTestCase { - /** 7.1: Layout byte size must be 600 (75 × 8). */ + /** 7.1: Layout byte size must be 640 (85 × 8). */ public void testLayoutByteSize() { - assertEquals(600L, StatsLayout.LAYOUT.byteSize()); - assertEquals(75 * Long.BYTES, (int) StatsLayout.LAYOUT.byteSize()); + assertEquals(680L, StatsLayout.LAYOUT.byteSize()); + assertEquals(85 * Long.BYTES, (int) StatsLayout.LAYOUT.byteSize()); } /** 7.2: readRuntimeMetrics decodes 9 known values from io_runtime group. */ diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/CacheStatsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/CacheStatsTests.java index 77a839c377b9c..1c1796b30de54 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/CacheStatsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/CacheStatsTests.java @@ -90,21 +90,33 @@ public void testCacheGroupStatsEqualsAndHashCode() { // ---- CacheStats ---- public void testCacheStatsConstructorRejectsNullSubGroups() { - expectThrows(NullPointerException.class, () -> new CacheStats(null, new CacheGroupStats(0, 0, 0, 0, 0))); - expectThrows(NullPointerException.class, () -> new CacheStats(new CacheGroupStats(0, 0, 0, 0, 0), null)); + CacheGroupStats g = new CacheGroupStats(0, 0, 0, 0, 0); + expectThrows(NullPointerException.class, () -> new CacheStats(null, g, g, g)); + expectThrows(NullPointerException.class, () -> new CacheStats(g, null, g, g)); + expectThrows(NullPointerException.class, () -> new CacheStats(g, g, null, g)); + expectThrows(NullPointerException.class, () -> new CacheStats(g, g, g, null)); } public void testCacheStatsAccessors() { CacheGroupStats meta = new CacheGroupStats(1, 2, 3, 4, 5); CacheGroupStats stats = new CacheGroupStats(6, 7, 8, 9, 10); - CacheStats c = new CacheStats(meta, stats); + CacheGroupStats scoped = new CacheGroupStats(11, 12, 13, 14, 15); + CacheGroupStats offset = new CacheGroupStats(11, 12, 13, 14, 15); + CacheStats c = new CacheStats(meta, stats, scoped, offset); assertSame(meta, c.getMetadataCache()); assertSame(stats, c.getStatisticsCache()); + assertSame(scoped, c.getColumnIndexCache()); + assertSame(offset, c.getOffsetIndexCache()); } public void testCacheStatsWriteableRoundTrip() throws IOException { - CacheStats original = new CacheStats(new CacheGroupStats(11, 12, 13, 14, 15), new CacheGroupStats(21, 22, 23, 24, 25)); + CacheStats original = new CacheStats( + new CacheGroupStats(11, 12, 13, 14, 15), + new CacheGroupStats(21, 22, 23, 24, 25), + new CacheGroupStats(31, 32, 33, 34, 35), + new CacheGroupStats(41, 42, 43, 44, 45) + ); BytesStreamOutput out = new BytesStreamOutput(); original.writeTo(out); StreamInput in = out.bytes().streamInput(); @@ -113,7 +125,12 @@ public void testCacheStatsWriteableRoundTrip() throws IOException { } public void testCacheStatsToXContentShape() throws IOException { - CacheStats c = new CacheStats(new CacheGroupStats(11, 0, 3, 1024, 250_000_000), new CacheGroupStats(0, 7, 0, 0, 100_000_000)); + CacheStats c = new CacheStats( + new CacheGroupStats(11, 0, 3, 1024, 250_000_000), + new CacheGroupStats(0, 7, 0, 0, 100_000_000), + new CacheGroupStats(5, 1, 2, 512, 64_000_000), + new CacheGroupStats(5, 2, 3, 256, 32_000_000) + ); XContentBuilder builder = XContentFactory.jsonBuilder(); builder.startObject(); c.toXContent(builder, ToXContent.EMPTY_PARAMS); @@ -122,9 +139,11 @@ public void testCacheStatsToXContentShape() throws IOException { // Top-level wrapper assertTrue("expected cache_stats wrapper, got: " + json, json.contains("\"cache_stats\"")); - // Both sub-groups present + // All four sub-groups present assertTrue(json.contains("\"metadata_cache\"")); assertTrue(json.contains("\"statistics_cache\"")); + assertTrue(json.contains("\"column_index_cache\"")); + assertTrue(json.contains("\"offset_index_cache\"")); // Per-group fields assertTrue(json.contains("\"hit_count\":11")); assertTrue(json.contains("\"miss_count\":7")); @@ -132,27 +151,50 @@ public void testCacheStatsToXContentShape() throws IOException { assertTrue(json.contains("\"memory_bytes\":1024")); assertTrue(json.contains("\"size_limit_bytes\":250000000")); assertTrue(json.contains("\"size_limit_bytes\":100000000")); + assertTrue(json.contains("\"size_limit_bytes\":64000000")); + assertTrue(json.contains("\"size_limit_bytes\":32000000")); } public void testCacheStatsZeroedRendersAllZeros() throws IOException { - CacheStats zero = new CacheStats(new CacheGroupStats(0, 0, 0, 0, 0), new CacheGroupStats(0, 0, 0, 0, 0)); + CacheStats zero = new CacheStats( + new CacheGroupStats(0, 0, 0, 0, 0), + new CacheGroupStats(0, 0, 0, 0, 0), + new CacheGroupStats(0, 0, 0, 0, 0), + new CacheGroupStats(0, 0, 0, 0, 0) + ); XContentBuilder builder = XContentFactory.jsonBuilder(); builder.startObject(); zero.toXContent(builder, ToXContent.EMPTY_PARAMS); builder.endObject(); String json = builder.toString(); - // Disabled-cache sentinel: both size_limit_bytes are 0 + // Disabled-cache sentinel: all four size_limit_bytes are 0 long sizeLimitOccurrences = json.split("\"size_limit_bytes\":0", -1).length - 1; - assertEquals("expected size_limit_bytes:0 to appear twice (one per sub-cache)", 2, sizeLimitOccurrences); + assertEquals("expected size_limit_bytes:0 to appear four times (one per sub-cache)", 4, sizeLimitOccurrences); // hit_rate must not be NaN assertFalse("hit_rate must not be NaN: " + json, json.contains("NaN")); } public void testCacheStatsEqualsAndHashCode() { - CacheStats a = new CacheStats(new CacheGroupStats(1, 2, 3, 4, 5), new CacheGroupStats(6, 7, 8, 9, 10)); - CacheStats b = new CacheStats(new CacheGroupStats(1, 2, 3, 4, 5), new CacheGroupStats(6, 7, 8, 9, 10)); - CacheStats c = new CacheStats(new CacheGroupStats(1, 2, 3, 4, 5), new CacheGroupStats(6, 7, 8, 9, 99)); + // c differs only in statisticsCache (sizeLimitBytes 10 → 99) + CacheStats a = new CacheStats( + new CacheGroupStats(1, 2, 3, 4, 5), + new CacheGroupStats(6, 7, 8, 9, 10), + new CacheGroupStats(11, 12, 13, 14, 15), + new CacheGroupStats(16, 17, 18, 19, 20) + ); + CacheStats b = new CacheStats( + new CacheGroupStats(1, 2, 3, 4, 5), + new CacheGroupStats(6, 7, 8, 9, 10), + new CacheGroupStats(11, 12, 13, 14, 15), + new CacheGroupStats(16, 17, 18, 19, 20) + ); + CacheStats c = new CacheStats( + new CacheGroupStats(1, 2, 3, 4, 5), + new CacheGroupStats(6, 7, 8, 9, 99), + new CacheGroupStats(11, 12, 13, 14, 15), + new CacheGroupStats(16, 17, 18, 19, 20) + ); assertEquals(a, b); assertEquals(a.hashCode(), b.hashCode()); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsPropertyTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsPropertyTests.java index 972deafcbdce7..a200058172870 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsPropertyTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsPropertyTests.java @@ -108,7 +108,7 @@ private CacheGroupStats randomCacheGroupStats() { } private CacheStats randomCacheStats() { - return new CacheStats(randomCacheGroupStats(), randomCacheGroupStats()); + return new CacheStats(randomCacheGroupStats(), randomCacheGroupStats(), randomCacheGroupStats(), randomCacheGroupStats()); } private SearchStats randomSearchStats() { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsTests.java index 075a48c5ebcc5..4ec614a50a051 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/stats/DataFusionStatsTests.java @@ -278,7 +278,9 @@ public void testCacheStatsPresentRendersIntoJson() throws IOException { CacheStats cache = new CacheStats( new CacheGroupStats(100, 5, 25, 4096, 250_000_000), - new CacheGroupStats(50, 0, 25, 2048, 100_000_000) + new CacheGroupStats(50, 0, 25, 2048, 100_000_000), + new CacheGroupStats(20, 3, 8, 1024, 64_000_000), + new CacheGroupStats(15, 2, 5, 512, 16_000_000) ); DataFusionStats stats = new DataFusionStats( new NativeExecutorsStats(io, null, taskMonitors), diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DataFusionCacheClearIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DataFusionCacheClearIT.java new file mode 100644 index 0000000000000..79a0a7bccf4db --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DataFusionCacheClearIT.java @@ -0,0 +1,122 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.io.IOException; +import java.util.List; +import java.util.Map; + +/** + * Integration tests for {@code POST /_plugins/_analytics_backend_datafusion/cache/_clear}. + * + *

    Tests verify: + *

      + *
    • Clear all: no params — returns 200, {@code acknowledged=true}, non-empty {@code cleared_nodes}
      • + *
    • Selective clear: {@code ?footer=true}, {@code ?column=true}, {@code ?offset=true} — each returns 200
      • + *
    • Combined params: {@code ?column=true&offset=true} — returns 200
      • + *
    • Unknown param: ignored (backward compat) — still returns 200
      • + *
    + * + *

    The cache contents themselves are not observable via REST (stats endpoint is PR 1), + * so these tests verify only that the action completes successfully and returns a + * well-formed response. + */ +public class DataFusionCacheClearIT extends AnalyticsRestTestCase { + + private static final String CLEAR_ENDPOINT = "/_plugins/_analytics_backend_datafusion/cache/_clear"; + + // ── clear all ──────────────────────────────────────────────────────────── + + public void testClearAllCachesReturns200WithAcknowledged() throws IOException { + Map body = clearCache(""); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + // ── selective: single param ─────────────────────────────────────────────── + + public void testClearFooterCacheOnly() throws IOException { + Map body = clearCache("?footer=true"); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + public void testClearColumnIndexCacheOnly() throws IOException { + Map body = clearCache("?column=true"); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + public void testClearOffsetIndexCacheOnly() throws IOException { + Map body = clearCache("?offset=true"); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + // ── selective: combined params ──────────────────────────────────────────── + + public void testClearColumnAndOffsetTogether() throws IOException { + Map body = clearCache("?column=true&offset=true"); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + public void testClearAllThreeExplicitly() throws IOException { + Map body = clearCache("?footer=true&column=true&offset=true"); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + // ── idempotency ─────────────────────────────────────────────────────────── + + public void testClearIsIdempotent() throws IOException { + // Second clear of an already-empty cache must still return 200. + clearCache(""); + Map body = clearCache(""); + assertEquals(true, body.get("acknowledged")); + assertClearedNodes(body); + } + + // ── response shape ──────────────────────────────────────────────────────── + + @SuppressWarnings("unchecked") + public void testResponseIncludesNodesAndClusterName() throws IOException { + Request request = new Request("POST", CLEAR_ENDPOINT); + Response response = client().performRequest(request); + Map body = assertOkAndParse(response, "cache/_clear"); + + // NodesResponseRestListener wraps with _nodes + cluster_name + assertNotNull("_nodes header present", body.get("_nodes")); + assertNotNull("cluster_name present", body.get("cluster_name")); + + Map nodesHeader = (Map) body.get("_nodes"); + int total = ((Number) nodesHeader.get("total")).intValue(); + int successful = ((Number) nodesHeader.get("successful")).intValue(); + assertTrue("at least one node total", total >= 1); + assertTrue("all nodes successful", successful == total); + } + + // ── helpers ─────────────────────────────────────────────────────────────── + + @SuppressWarnings("unchecked") + private void assertClearedNodes(Map body) { + List clearedNodes = (List) body.get("cleared_nodes"); + assertNotNull("cleared_nodes present", clearedNodes); + assertFalse("at least one node cleared", clearedNodes.isEmpty()); + } + + private Map clearCache(String queryParams) throws IOException { + Request request = new Request("POST", CLEAR_ENDPOINT + queryParams); + Response response = client().performRequest(request); + return assertOkAndParse(response, "cache/_clear" + queryParams); + } +} diff --git a/server/src/main/java/org/opensearch/node/resource/tracker/ResourceTrackerSettings.java b/server/src/main/java/org/opensearch/node/resource/tracker/ResourceTrackerSettings.java index baacf68a8e4f1..475ab9d525aa9 100644 --- a/server/src/main/java/org/opensearch/node/resource/tracker/ResourceTrackerSettings.java +++ b/server/src/main/java/org/opensearch/node/resource/tracker/ResourceTrackerSettings.java @@ -143,12 +143,14 @@ static String deriveNativeMemoryLimitDefault(long ram, long heap) { if (ram <= 0 || heap <= 0 || heap >= ram) { return "0b"; } - // 79% of off-heap (RAM - heap) leaves ~21% headroom for unmanaged native consumers: - // Lucene mmap, Liquid cache, OS page cache, sidecar processes. Matches the partitioning + // 80% of off-heap (RAM - heap) leaves ~20% headroom for unmanaged native consumers: + // Lucene mmap, Liquid cache, OS page cache, sidecar processes. Raised from 79% to 80% + // to accommodate the DataFusion parquet cache budget (1% of off-heap carved from + // unmanaged headroom + 2% from the DataFusion operator pool). Matches the partitioning // model in PR #21732. Operators with predominantly analytics workloads can raise this // toward 100%; search-heavy workloads needing more page cache should lower it. long offHeap = ram - heap; - return Long.toString(offHeap * 79 / 100) + "b"; + return Long.toString(offHeap * 80 / 100) + "b"; } /** diff --git a/server/src/test/java/org/opensearch/node/resource/tracker/NodeResourceUsageTrackerTests.java b/server/src/test/java/org/opensearch/node/resource/tracker/NodeResourceUsageTrackerTests.java index 5ddc8ebf0ff47..b8218f7af41ea 100644 --- a/server/src/test/java/org/opensearch/node/resource/tracker/NodeResourceUsageTrackerTests.java +++ b/server/src/test/java/org/opensearch/node/resource/tracker/NodeResourceUsageTrackerTests.java @@ -176,12 +176,12 @@ public void testDeriveNativeMemoryLimitDefaultFallbackPaths() { long ram = 8L * 1024 * 1024 * 1024; assertEquals("heap >= ram → unconfigured", "0b", ResourceTrackerSettings.deriveNativeMemoryLimitDefault(ram, ram)); assertEquals("heap > ram → unconfigured", "0b", ResourceTrackerSettings.deriveNativeMemoryLimitDefault(ram, ram + 1)); - // Happy path: 64 GB / 16 GB heap → 79% of (RAM - heap) = 79% of 48 GB. + // Happy path: 64 GB / 16 GB heap → 80% of (RAM - heap) = 79% of 48 GB. long sixtyFourGB = 64L * 1024 * 1024 * 1024; long sixteenGB = 16L * 1024 * 1024 * 1024; - long expected = (sixtyFourGB - sixteenGB) * 79 / 100; + long expected = (sixtyFourGB - sixteenGB) * 80 / 100; assertEquals( - "happy path → 79% of (ram - heap)", + "happy path → 80% of (ram - heap)", expected + "b", ResourceTrackerSettings.deriveNativeMemoryLimitDefault(sixtyFourGB, sixteenGB) ); From ce2c53f9eae354d86864a62e4e1234de0008dea9 Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Mon, 22 Jun 2026 02:20:30 +0530 Subject: [PATCH 21/94] Added DFA and warm snapshot blocking (#22011) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan Co-authored-by: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> --- .../DataFormatAwareDFASnapshotBlockingIT.java | 318 ++++++++++++++++++ ...FormatAwareRestoreShallowSnapshotV2IT.java | 107 ++++++ .../snapshots/SnapshotsService.java | 32 +- 3 files changed, 456 insertions(+), 1 deletion(-) create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java new file mode 100644 index 0000000000000..d0be72d44f126 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java @@ -0,0 +1,318 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import org.opensearch.action.admin.cluster.snapshots.create.CreateSnapshotResponse; +import org.opensearch.action.admin.cluster.snapshots.restore.RestoreSnapshotResponse; +import org.opensearch.action.admin.indices.delete.DeleteIndexRequest; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.settings.Settings; +import org.opensearch.core.common.unit.ByteSizeUnit; +import org.opensearch.core.common.unit.ByteSizeValue; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.index.IndexModule; +import org.opensearch.indices.RemoteStoreSettings; +import org.opensearch.indices.replication.common.ReplicationType; +import org.opensearch.node.Node; +import org.opensearch.repositories.blobstore.BlobStoreRepository; +import org.opensearch.snapshots.SnapshotInfo; +import org.opensearch.snapshots.SnapshotState; +import org.opensearch.transport.client.Client; +import org.junit.After; +import org.junit.Before; + +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.List; + +import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertAcked; + +/** + * Integration tests covering the snapshot guardrails for pluggable-data-format-aware (DFA) indexes: + *
      + *
    • Block A ({@code SnapshotsService.createSnapshotV2}): warm-tiered DFA indexes are + * silently filtered out of V2 snapshots; the rest of the cluster is captured normally.
      • + *
    + * + * Together these guarantee: hot DFA + non-DFA flow normally through V2 snapshots; warm DFA never + * appears in any snapshot. + */ +public class DataFormatAwareDFASnapshotBlockingIT extends DataFormatAwareReadonlyEngineBaseIT { + + private static final String V2_REPO = "v2-block-test-repo"; + + private Path v2RepoPath; + + @Before + public void setupSnapshotRepos() throws java.io.IOException { + v2RepoPath = randomRepoPath().toAbsolutePath(); + Files.createDirectories(v2RepoPath); + } + + @After + public void tearDownFileCache() { + for (String nodeName : internalCluster().getNodeNames()) { + try { + Node node = internalCluster().getInstance(Node.class, nodeName); + var fc = node.fileCache(); + if (fc != null) { + fc.clear(); + } + } catch (Exception ignored) { + // Node may have already been stopped; skip it. + } + } + } + + @Override + protected Settings nodeSettings(int nodeOrdinal) { + return Settings.builder() + .put(super.nodeSettings(nodeOrdinal)) + .put(Node.NODE_SEARCH_CACHE_SIZE_SETTING.getKey(), new ByteSizeValue(2, ByteSizeUnit.GB).toString()) + .put(RemoteStoreSettings.CLUSTER_REMOTE_STORE_PINNED_TIMESTAMP_ENABLED.getKey(), true) + .build(); + } + + private Settings.Builder v2RepoSettings(Path location) { + return Settings.builder() + .put("location", location) + .put(BlobStoreRepository.REMOTE_STORE_INDEX_SHALLOW_COPY.getKey(), true) + .put(BlobStoreRepository.SHALLOW_SNAPSHOT_V2.getKey(), true); + } + + /** Create a hot DFA index with the given name, index docs, and flush. */ + private void createHotDFAIndex(String indexName, int docs) { + Settings hot = Settings.builder() + .put(remoteStoreIndexSettings(0, 1)) + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT) + .put("index.pluggable.dataformat.enabled", true) + .put("index.pluggable.dataformat", "composite") + .put("index.composite.primary_data_format", "parquet") + .build(); + client().admin().indices().prepareCreate(indexName).setSettings(hot).get(); + ensureGreen(indexName); + for (int i = 0; i < docs; i++) { + client().prepareIndex(indexName).setId(String.valueOf(i)).setSource("n", (long) i).get(); + } + client().admin().indices().prepareFlush(indexName).setForce(true).get(); + } + + /** Create a hot DFA index, ingest docs, then tier to warm. */ + private void createWarmDFAIndex(String indexName, int docs) { + createHotDFAIndex(indexName, docs); + client().admin().indices().prepareClose(indexName).get(); + client().admin() + .indices() + .prepareUpdateSettings(indexName) + .setSettings(Settings.builder().put(IndexModule.IS_WARM_INDEX_SETTING.getKey(), true)) + .get(); + client().admin().indices().prepareOpen(indexName).get(); + ensureGreen(indexName); + } + + /** Create a plain non-DFA, remote-store-backed index. */ + private void createNonDFAIndex(String indexName, int docs) { + Settings nonDfa = Settings.builder() + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT) + .build(); + client().admin().indices().prepareCreate(indexName).setSettings(nonDfa).get(); + ensureGreen(indexName); + for (int i = 0; i < docs; i++) { + client().prepareIndex(indexName).setId(String.valueOf(i)).setSource("text", "n" + i).get(); + } + client().admin().indices().prepareFlush(indexName).setForce(true).get(); + client().admin().indices().prepareRefresh(indexName).get(); + } + + /** Create a writable-warm (non-DFA) index directly and ingest docs. */ + private void createWarmNonDFAIndex(String indexName, int docs) { + // Writable warm: the index is created warm from the start (OpenSearch does not support + // tiering a hot non-DFA index to warm). Remote store is enabled cluster-wide by the base. + Settings warmNonDfa = Settings.builder() + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT) + .put(IndexModule.IS_WARM_INDEX_SETTING.getKey(), true) + .build(); + client().admin().indices().prepareCreate(indexName).setSettings(warmNonDfa).get(); + ensureGreen(indexName); + for (int i = 0; i < docs; i++) { + client().prepareIndex(indexName).setId(String.valueOf(i)).setSource("text", "n" + i).get(); + } + client().admin().indices().prepareFlush(indexName).setForce(true).get(); + client().admin().indices().prepareRefresh(indexName).get(); + } + + /** + * Block A coverage — the headline V2 partial-filter test for a mixed cluster: + *
      + *
    • Take a V2 snapshot of a cluster with hot DFA + warm DFA + non-DFA indexes.
      • + *
    • Verify the snapshot manifest contains hot DFA + non-DFA, NOT warm DFA.
      • + *
    • Delete all indexes, restore all (*), and verify from cluster state that hot DFA + + * non-DFA come back while the filtered warm DFA index does not.
      • + *
    • Phase 3: explicitly request restore of the warm DFA index from the snapshot — fails + * because it's not in the snapshot manifest (Block A filtered it at create time).
      • + *
    + */ + public void testV2SnapshotMixedClusterFiltersWarmDFAFullLifecycle() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(1); + + final String hotDFA = "hot-dfa-mix"; + final String warmDFA = "warm-dfa-mix"; + final String nonDFA = "non-dfa-mix"; + + createRepository(V2_REPO, "fs", v2RepoSettings(v2RepoPath)); + + createHotDFAIndex(hotDFA, 30); + createWarmDFAIndex(warmDFA, 20); + createNonDFAIndex(nonDFA, 15); + + // Phase 1: take V2 snapshot, verify warm DFA is filtered. + CreateSnapshotResponse snapResp = client().admin() + .cluster() + .prepareCreateSnapshot(V2_REPO, "v2-mixed-snap") + .setWaitForCompletion(true) + .get(); + SnapshotInfo info = snapResp.getSnapshotInfo(); + assertEquals(SnapshotState.SUCCESS, info.state()); + + List snapshotIndices = info.indices(); + assertTrue("snapshot must contain hot DFA index, got: " + snapshotIndices, snapshotIndices.contains(hotDFA)); + assertTrue("snapshot must contain non-DFA index, got: " + snapshotIndices, snapshotIndices.contains(nonDFA)); + assertFalse("warm DFA index must be filtered out, got: " + snapshotIndices, snapshotIndices.contains(warmDFA)); + + // Phase 2: delete every index, then restore all (*). Validate from cluster state that only + // the snapshotted indices (hot DFA + non-DFA) come back; the filtered warm DFA does not. + Client client = client(); + assertAcked(client.admin().indices().delete(new DeleteIndexRequest(hotDFA, nonDFA, warmDFA)).get()); + assertFalse(indexExists(hotDFA)); + assertFalse(indexExists(nonDFA)); + assertFalse(indexExists(warmDFA)); + + RestoreSnapshotResponse restoreResp = client.admin() + .cluster() + .prepareRestoreSnapshot(V2_REPO, "v2-mixed-snap") + .setIndices("*") + .setWaitForCompletion(true) + .get(); + assertEquals(RestStatus.OK, restoreResp.status()); + ensureGreen(hotDFA, nonDFA); + + // Validate the restored set from cluster state. + assertTrue("hot DFA must be restored", indexExists(hotDFA)); + assertTrue("non-DFA must be restored", indexExists(nonDFA)); + assertFalse("warm DFA must NOT be restored (filtered from snapshot)", indexExists(warmDFA)); + + // Phase 3: explicitly try to restore warm DFA from the snapshot → must fail (not in manifest). + Exception ex = expectThrows( + Exception.class, + () -> client.admin() + .cluster() + .prepareRestoreSnapshot(V2_REPO, "v2-mixed-snap") + .setWaitForCompletion(true) + .setIndices(warmDFA) + .get() + ); + // Standard "no indices in snapshot match" / "index does not exist in snapshot" type error. + assertNotNull("explicit restore of filtered warm DFA must fail", ex.getMessage()); + } + + /** + * Block A coverage — only-warm-DFA cluster. Snapshot succeeds with empty index list; explicit + * restore of the warm DFA index fails because it's not in the manifest. + */ + public void testV2SnapshotWhenClusterHasOnlyWarmDFA() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(1); + + final String warmDFA = "only-warm-dfa"; + + createRepository(V2_REPO, "fs", v2RepoSettings(v2RepoPath)); + createWarmDFAIndex(warmDFA, 10); + + CreateSnapshotResponse snapResp = client().admin() + .cluster() + .prepareCreateSnapshot(V2_REPO, "v2-only-warm") + .setWaitForCompletion(true) + .get(); + SnapshotInfo info = snapResp.getSnapshotInfo(); + assertEquals(SnapshotState.SUCCESS, info.state()); + assertTrue("snapshot must be empty when cluster has only warm DFA, got: " + info.indices(), info.indices().isEmpty()); + + // Explicit restore of warm DFA → fails (not in snapshot). + Exception ex = expectThrows( + Exception.class, + () -> client().admin() + .cluster() + .prepareRestoreSnapshot(V2_REPO, "v2-only-warm") + .setWaitForCompletion(true) + .setIndices(warmDFA) + .get() + ); + assertNotNull("explicit restore of warm DFA must fail; snapshot has no such index", ex.getMessage()); + } + + /** + * Block A guard — warm tiering alone must NOT trigger exclusion; only the combination of + * warm tier + pluggable data format is filtered. This verifies that a writable-warm + * non-DFA index is captured by a V2 snapshot (present in the manifest with a + * successful shard), while a warm DFA index in the same cluster is still filtered out. + */ + public void testV2SnapshotIncludesWarmNonDFAIndex() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(1); + + final String warmNonDFA = "warm-non-dfa"; + final String warmDFA = "warm-dfa"; + + createRepository(V2_REPO, "fs", v2RepoSettings(v2RepoPath)); + createWarmNonDFAIndex(warmNonDFA, 15); + createWarmDFAIndex(warmDFA, 10); + + // Take V2 snapshot — warm non-DFA must be included, warm DFA must be filtered. + CreateSnapshotResponse snapResp = client().admin() + .cluster() + .prepareCreateSnapshot(V2_REPO, "v2-warm-mix") + .setWaitForCompletion(true) + .get(); + SnapshotInfo info = snapResp.getSnapshotInfo(); + assertEquals(SnapshotState.SUCCESS, info.state()); + + List snapshotIndices = info.indices(); + assertTrue("warm non-DFA index must be included in snapshot, got: " + snapshotIndices, snapshotIndices.contains(warmNonDFA)); + assertFalse("warm DFA index must be filtered out, got: " + snapshotIndices, snapshotIndices.contains(warmDFA)); + // The warm non-DFA shard must actually be captured, not just listed. + assertTrue("warm non-DFA shard must be snapshotted, successfulShards=" + info.successfulShards(), info.successfulShards() >= 1); + + // Restore all (*): delete both indices, restore, and validate from cluster state that only + // the warm non-DFA index comes back; the warm DFA index (filtered at create time) does not. + Client client = client(); + assertAcked(client.admin().indices().delete(new DeleteIndexRequest(warmNonDFA, warmDFA)).get()); + assertFalse(indexExists(warmNonDFA)); + assertFalse(indexExists(warmDFA)); + + RestoreSnapshotResponse restoreResp = client.admin() + .cluster() + .prepareRestoreSnapshot(V2_REPO, "v2-warm-mix") + .setIndices("*") + .setWaitForCompletion(true) + .get(); + assertEquals(RestStatus.OK, restoreResp.status()); + ensureGreen(warmNonDFA); + + // Validate the restored set from cluster state. + assertTrue("warm non-DFA must be restored", indexExists(warmNonDFA)); + assertFalse("warm DFA must NOT be restored (filtered from snapshot)", indexExists(warmDFA)); + } +} diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java index 24d7e97a05238..30b35686d723d 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java @@ -1935,4 +1935,111 @@ public void testV2InvalidRestoreRequestForDFAIndex() throws Exception { assertDocCountInIndex(client, indexName, numDocs); } + /** + * End-to-end V2 snapshot lifecycle for a hot DFA index, validating that indexing + refresh + + * catalog/segments invariants hold across two restore cycles: + *
      + *
    1. Create hot DFA index, ingest, snapshot {@code snap1}, delete, restore from {@code snap1}.
      2. + *
    2. After restore: validate engine, catalog, doc count, then ingest more, refresh, validate.
      3. + *
    3. Snapshot the now-larger index as {@code snap2}, delete, restore from {@code snap2}.
      4. + *
    4. After second restore: validate everything again, ingest more, refresh, validate.
      5. + *
    + */ + public void testV2HotDFASnapshotRestoreLifecycle() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(1); + + final String indexName = "hot-v2-lifecycle"; + final String repoName = "test-snapshot-repo"; + final String snap1 = "snap1-initial"; + final String snap2 = "snap2-after-more-docs"; + + final int initialDocs = 30; + final int phase2Docs = 20; + final int phase3Docs = 15; + final int totalAtSnap2 = initialDocs + phase2Docs; + final int finalTotal = totalAtSnap2 + phase3Docs; + + Path repoPath = randomRepoPath().toAbsolutePath(); + createRepository(repoName, "fs", getRepositorySettings(repoPath, true)); + + // ── Phase 1: create hot DFA index, ingest, snapshot ──────────────── + Client client = client(); + createIndex(indexName, getIndexSettings(1, 0).build()); + ensureGreen(indexName); + indexDocuments(client, indexName, 0, initialDocs); + refresh(indexName); + flush(indexName); + assertDocCountInIndex(client, indexName, initialDocs); + + IndexShard shardPreSnap1 = getShardZero(indexName); + assertAllFormatDirsHaveFiles(shardPreSnap1); + DataFormatAwareITUtils.assertCatalogMatchesLocalAndRemote(shardPreSnap1); + + SnapshotInfo s1 = createSnapshot(repoName, snap1, new ArrayList<>()); + assertThat(s1.state(), equalTo(SnapshotState.SUCCESS)); + assertEquals(1, s1.successfulShards()); + + // ── Restore from snap1, validate, ingest more, validate, snap2 ───── + assertAcked(client().admin().indices().delete(new DeleteIndexRequest(indexName)).get()); + assertFalse(indexExists(indexName)); + + RestoreSnapshotResponse r1 = client.admin() + .cluster() + .prepareRestoreSnapshot(repoName, snap1) + .setWaitForCompletion(true) + .setIndices(indexName) + .get(); + assertEquals(RestStatus.OK, r1.status()); + ensureGreen(indexName); + + // Post-restore #1 validations + IndexShard shardR1 = getShardZero(indexName); + assertAllFormatDirsHaveFiles(shardR1); + DataFormatAwareITUtils.assertCatalogMatchesLocalAndRemote(shardR1); + assertDocCountInIndex(client, indexName, initialDocs); + + // Ingest more on the restored index — proves indexing works post-restore + indexDocuments(client, indexName, initialDocs, totalAtSnap2); + refresh(indexName); + flush(indexName); + assertDocCountInIndex(client, indexName, totalAtSnap2); + + IndexShard shardAfterPhase2 = getShardZero(indexName); + assertAllFormatDirsHaveFiles(shardAfterPhase2); + DataFormatAwareITUtils.assertCatalogMatchesLocalAndRemote(shardAfterPhase2); + + SnapshotInfo s2 = createSnapshot(repoName, snap2, new ArrayList<>()); + assertThat(s2.state(), equalTo(SnapshotState.SUCCESS)); + assertEquals(1, s2.successfulShards()); + + // ── Delete and restore from snap2 (the LATER snapshot, larger doc set) ─ + assertAcked(client().admin().indices().delete(new DeleteIndexRequest(indexName)).get()); + assertFalse(indexExists(indexName)); + + RestoreSnapshotResponse r2 = client.admin() + .cluster() + .prepareRestoreSnapshot(repoName, snap2) + .setWaitForCompletion(true) + .setIndices(indexName) + .get(); + assertEquals(RestStatus.OK, r2.status()); + ensureGreen(indexName); + + // Post-restore #2 validations — must reflect snap2 (totalAtSnap2 docs) + IndexShard shardR2 = getShardZero(indexName); + assertAllFormatDirsHaveFiles(shardR2); + DataFormatAwareITUtils.assertCatalogMatchesLocalAndRemote(shardR2); + assertDocCountInIndex(client, indexName, totalAtSnap2); + + // Ingest yet more, refresh, validate — proves indexing still works after second restore + indexDocuments(client, indexName, totalAtSnap2, finalTotal); + refresh(indexName); + assertDocCountInIndex(client, indexName, finalTotal); + + IndexShard shardFinal = getShardZero(indexName); + assertAllFormatDirsHaveFiles(shardFinal); + DataFormatAwareITUtils.assertCatalogMatchesLocalAndRemote(shardFinal); + } + } diff --git a/server/src/main/java/org/opensearch/snapshots/SnapshotsService.java b/server/src/main/java/org/opensearch/snapshots/SnapshotsService.java index d9b6d3a303a4d..66026b817bb8a 100644 --- a/server/src/main/java/org/opensearch/snapshots/SnapshotsService.java +++ b/server/src/main/java/org/opensearch/snapshots/SnapshotsService.java @@ -92,6 +92,8 @@ import org.opensearch.core.common.io.stream.StreamInput; import org.opensearch.core.index.Index; import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.IndexModule; +import org.opensearch.index.IndexSettings; import org.opensearch.index.store.RemoteSegmentStoreDirectoryFactory; import org.opensearch.index.store.lockmanager.RemoteStoreLockManagerFactory; import org.opensearch.indices.RemoteStoreSettings; @@ -505,7 +507,35 @@ public ClusterState execute(ClusterState currentState) { createSnapshotPreValidations(currentState, repositoryData, repositoryName, snapshotName); - List indices = new ArrayList<>(currentState.metadata().indices().keySet()); + // Exclude warm-tiered pluggable-data-format indexes from V2 snapshots; they are + // not currently restorable. The rest of the cluster is captured normally. + final List allIndices = new ArrayList<>(currentState.metadata().indices().keySet()); + final List excludedWarmDfa = new ArrayList<>(); + final List indices = new ArrayList<>(); + for (String indexName : allIndices) { + IndexMetadata idxMd = currentState.metadata().index(indexName); + if (idxMd != null + && IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.get(idxMd.getSettings()) + && IndexModule.IS_WARM_INDEX_SETTING.get(idxMd.getSettings())) { + excludedWarmDfa.add(indexName); + } else { + indices.add(indexName); + } + } + if (excludedWarmDfa.isEmpty() == false) { + logger.info( + "[{}][{}] excluding [{}] warm-tiered pluggable data format index(es) from snapshot v2 (not currently supported)", + repositoryName, + snapshotName, + excludedWarmDfa.size() + ); + logger.trace( + "[{}][{}] excluded warm-tiered pluggable data format indexes from snapshot v2: {}", + repositoryName, + snapshotName, + excludedWarmDfa + ); + } final List dataStreams = indexNameExpressionResolver.dataStreamNames( currentState, From 2da5e4a72fa209e58e817d6741e73269728e1736 Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Mon, 22 Jun 2026 12:57:12 +0530 Subject: [PATCH 22/94] [DFAE] Fix flush committing checkpoint ahead of persisted snapshot (#22262) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan --- .../index/engine/DataFormatAwareEngine.java | 16 +- .../engine/DataFormatAwareEngineTests.java | 150 ++++++++++++++++++ 2 files changed, 162 insertions(+), 4 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index a3188d076661a..1942f4f01a2d7 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -1169,6 +1169,17 @@ public void flush(boolean force, boolean waitIfOngoing) throws EngineException { // latestCatalogSnapshot between commit() and updateLastCommitInfo(). Reentrant. refreshLock.lock(); try { + // Capture the processed checkpoint BEFORE refreshing. The refresh persists the + // current writer buffer into the catalog snapshot; any operation processed + // concurrently DURING this flush lands in a NEW writer that is not part of this + // snapshot. Committing the live (post-refresh) processed checkpoint would + // over-claim those ops, so a subsequent recovery/relocation would start replay + // past them (seeding them as "already processed") and silently drop them. + // Capturing here keeps the committed local checkpoint <= what the snapshot + // durably contains, mirroring Lucene's InternalEngine.commitIndexWriter (which + // captures the checkpoint before IndexWriter.commit flushes). See + // DataFormatAwareEngineTests#testFlushMustNotCommitCheckpointAheadOfPersistedSnapshot. + final long committedLocalCheckpoint = localCheckpointTracker.getProcessedCheckpoint(); // Refresh first to flush buffered data to segments refresh("flush"); translogManager.rollTranslogGeneration(); @@ -1190,10 +1201,7 @@ public void flush(boolean force, boolean waitIfOngoing) throws EngineException { ); commitData.put(CatalogSnapshot.CATALOG_SNAPSHOT_ID, Long.toString(snapshot.getId())); commitData.put(Translog.TRANSLOG_UUID_KEY, translogManager.getTranslogUUID()); - commitData.put( - SequenceNumbers.LOCAL_CHECKPOINT_KEY, - Long.toString(localCheckpointTracker.getProcessedCheckpoint()) - ); + commitData.put(SequenceNumbers.LOCAL_CHECKPOINT_KEY, Long.toString(committedLocalCheckpoint)); commitData.put(SequenceNumbers.MAX_SEQ_NO, Long.toString(localCheckpointTracker.getMaxSeqNo())); commitData.put(MAX_UNSAFE_AUTO_ID_TIMESTAMP_COMMIT_ID, Long.toString(maxUnsafeAutoIdTimestamp.get())); commitData.put(Engine.HISTORY_UUID_KEY, historyUUID); diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index 655b92399c34c..c6b9f73c6ac54 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -96,6 +96,7 @@ import static org.hamcrest.Matchers.greaterThan; import static org.hamcrest.Matchers.greaterThanOrEqualTo; import static org.hamcrest.Matchers.instanceOf; +import static org.hamcrest.Matchers.lessThanOrEqualTo; import static org.hamcrest.Matchers.notNullValue; import static org.mockito.ArgumentMatchers.any; import static org.mockito.ArgumentMatchers.anyLong; @@ -4334,4 +4335,153 @@ public void testGracefulCloseUnderConcurrentLoad() throws Exception { } } } + + /** + * Reproduces the composite checkpoint-inflation data-loss bug (the one behind the + * doc-count gap observed after a primary relocation under sustained ingest). + * + *

    Mechanism: {@code flush()} calls {@code refresh("flush")} — which snapshots the + * writers frozen at {@code checkoutAll} — and then commits + * {@code LOCAL_CHECKPOINT = getProcessedCheckpoint()} read after that refresh. If a + * document is processed during the flush (after the snapshot is frozen but before the + * checkpoint is read) it lands in a NEW writer that is not in the snapshot, yet it advances + * the processed checkpoint. The commit therefore records a checkpoint that is AHEAD of what + * the durable snapshot actually contains. On recovery, replay starts at {@code committed+1} + * and the band in between is seeded as "already processed", so it is never replayed — the + * acknowledged docs are silently lost. + * + *

    We inject the in-window document via an {@code afterRefresh} listener (it fires + * synchronously at the end of {@code refresh()}, i.e. after the snapshot is built but, when + * called from inside {@code flush()}, before {@code flush()} reads the checkpoint). We then + * assert the engine-level invariant the fix must restore: the committed + * {@code LOCAL_CHECKPOINT} must NOT exceed the highest seqno durably persisted in the + * snapshot. + */ + public void testFlushMustNotCommitCheckpointAheadOfPersistedSnapshot() throws Exception { + Path translogPath = createTempDir(); + String uuid = Translog.createEmptyTranslog(translogPath, SequenceNumbers.NO_OPS_PERFORMED, shardId, primaryTerm.get()); + bootstrapStoreWithMetadata(store, uuid); + InMemoryCommitter committer = new InMemoryCommitter(store); + + final AtomicReference engineRef = new AtomicReference<>(); + final AtomicBoolean armed = new AtomicBoolean(false); + final AtomicBoolean fired = new AtomicBoolean(false); + final List injectedSeqNos = new ArrayList<>(); + + // Fires at the END of refresh() — after the catalog snapshot has been built, but + // (when called from inside flush()) before flush() reads getProcessedCheckpoint(). + ReferenceManager.RefreshListener injector = new ReferenceManager.RefreshListener() { + @Override + public void beforeRefresh() {} + + @Override + public void afterRefresh(boolean didRefresh) { + if (armed.get() && fired.compareAndSet(false, true)) { + DataFormatAwareEngine eng = engineRef.get(); + try { + for (int i = 10; i <= 12; i++) { + Engine.IndexResult r = eng.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + injectedSeqNos.add(r.getSeqNo()); + } + } catch (IOException e) { + throw new java.io.UncheckedIOException(e); + } + } + } + }; + + IndexSettings indexSettings = IndexSettingsModule.newIndexSettings( + "test", + Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(IndexSettings.INDEX_SOFT_DELETES_SETTING.getKey(), true) + .put(IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.getKey(), true) + .put(IndexSettings.PLUGGABLE_DATAFORMAT_VALUE_SETTING.getKey(), mockDataFormat.name()) + .build() + ); + TranslogConfig translogConfig = new TranslogConfig( + shardId, + translogPath, + indexSettings, + BigArrays.NON_RECYCLING_INSTANCE, + "", + false + ); + MapperService mapperService = mock(MapperService.class); + when(mapperService.getIndexSettings()).thenReturn(indexSettings); + DocumentMapper documentMapper = mock(DocumentMapper.class); + when(documentMapper.getVersion()).thenReturn(1L); + when(mapperService.documentMapper()).thenReturn(documentMapper); + EngineConfig config = new EngineConfig.Builder().shardId(shardId) + .threadPool(threadPool) + .indexSettings(indexSettings) + .store(store) + .mergePolicy(NoMergePolicy.INSTANCE) + .translogConfig(translogConfig) + .flushMergesAfter(TimeValue.timeValueMinutes(5)) + .externalRefreshListener(List.of(injector)) + .internalRefreshListener(List.of()) + .globalCheckpointSupplier(() -> SequenceNumbers.NO_OPS_PERFORMED) + .retentionLeasesSupplier(() -> RetentionLeases.EMPTY) + .primaryTermSupplier(primaryTerm::get) + .tombstoneDocSupplier(tombstoneDocSupplier()) + .dataFormatRegistry(createMockRegistry()) + .committerFactory(c -> committer) + .eventListener(new Engine.EventListener() { + @Override + public void onFailedEngine(String reason, Exception e) {} + }) + .mapperService(mapperService) + .build(); + + try (DataFormatAwareEngine engine = new DataFormatAwareEngine(config)) { + engineRef.set(engine); + engine.translogManager().recoverFromTranslog(ignore -> 0, engine.getProcessedLocalCheckpoint(), Long.MAX_VALUE); + + // Pre-flush docs: seqnos 0..9 — captured by the flush's refresh snapshot. + for (int i = 0; i < 10; i++) { + engine.index(indexOp(createParsedDocWithInput(Integer.toString(i), null))); + } + assertThat("processed checkpoint before flush", engine.getProcessedLocalCheckpoint(), equalTo(9L)); + + // Arm the injector: during flush()'s refresh, seqnos 10,11,12 get indexed into a NEW + // writer (after the snapshot is frozen) but before the commit reads the checkpoint. + armed.set(true); + engine.flush(false, true); + + assertThat("injector ran inside the flush window", injectedSeqNos, equalTo(List.of(10L, 11L, 12L))); + assertThat("all 13 ops were processed/acked", engine.getProcessedLocalCheckpoint(), equalTo(12L)); + + // What the commit DURABLY persisted: only seqnos 0..9 made it into the snapshot. + long persistedRows; + try (GatedCloseable ref = engine.acquireSnapshot()) { + persistedRows = ref.get() + .getSegments() + .stream() + .mapToLong(s -> s.dfGroupedSearchableFiles().get(mockDataFormat.name()).numRows()) + .sum(); + } + assertThat("snapshot durably persisted only the pre-flush docs [0..9]", persistedRows, equalTo(10L)); + final long persistedMaxSeqNo = persistedRows - 1; // contiguous 0..9 -> max seqno 9 + + // What the commit CLAIMS is durable. + long committedCheckpoint = Long.parseLong(committer.getLastCommittedData().get(SequenceNumbers.LOCAL_CHECKPOINT_KEY)); + + // INVARIANT the fix must restore: committed LOCAL_CHECKPOINT must not exceed the max + // seqno actually present in the committed snapshot. Otherwise recovery replays from + // committedCheckpoint+1 and silently drops (persistedMaxSeqNo, committedCheckpoint]. + assertThat( + "committed LOCAL_CHECKPOINT (" + + committedCheckpoint + + ") must not exceed the max seqno durably persisted in the snapshot (" + + persistedMaxSeqNo + + "); recovery would otherwise skip and lose seqnos " + + (persistedMaxSeqNo + 1) + + ".." + + committedCheckpoint, + committedCheckpoint, + lessThanOrEqualTo(persistedMaxSeqNo) + ); + } + } } From 25b80686a24347fd85ef11da6d2e18a1c35369de Mon Sep 17 00:00:00 2001 From: gaurav-amz Date: Mon, 22 Jun 2026 20:59:28 +0530 Subject: [PATCH 23/94] [analytics-datafusion] Memory guard fix for spill (#22187) * [analytics-datafusion] Native memory, spill, and threshold fixes for the DataFusion engine Squash of the datafusion-try-grow-fix work: - Clamp data-node fragment gate to CPU worker count. - Fix permanent CrossRtStream wedge by spawning the driver off the consumer. - Exempt self-liquidating spill reservations from the 85% RSS gate (bounded by SPILL_EXEMPT_CAP_BYTES). - Fix dynamic memory-guard threshold updates silently using stale values (single grouped settings-update consumer). - Default spill cap to 80% of spill volume capacity; validate operator overrides. - Make spill_exempt_cap_bytes a dynamic cluster setting (datafusion.memory_guard.spill_exempt_cap_bytes, raw bytes, default 512MB). - Add Rust unit tests for the spill_exempt_cap setter and FFI negative-clamp. - Add an end-to-end disk-spill test (GROUP BY under a small pool spills and returns correct results, asserted via DataFusion SpillCount/SpilledBytes metrics). The cross_rt_stream.rs and runtime_manager.rs changes were reverted; this squash reflects the net final state with those files unchanged from origin/main. Signed-off-by: snghsvn * [analytics-datafusion] Fix DatafusionSettingsTests expected ALL_SETTINGS count Adding datafusion.memory_guard.spill_exempt_cap_bytes to ALL_SETTINGS raised the registered-setting count from 28 to 29, but testAllSettingsContainsAllExpectedSettings still asserted 28. Update the count and assert the new setting is registered. Signed-off-by: snghsvn * [analytics-datafusion] Raise spill limit default to 90% of disk capacity SPILL_LIMIT_FRACTION 0.80 -> 0.90; update the derive-default test accordingly. Signed-off-by: snghsvn * [analytics-datafusion] @AwaitsFix the failing composite-engine warm DFA ITs Mute 4 internalClusterTest failures unrelated to this PR (pulled in via the origin/main merge), all currently red on the sandbox-check: - DataFormatAwareDFASnapshotBlockingIT (3 tests, from #22011) - DataFormatAwareReadonlyGetByIdIT.testGetByIdFromWarmReadOnlyEngine (#21803) All tests in each class fail, so the annotation is applied at class level and points at the source PR for tracking. Signed-off-by: snghsvn --------- Signed-off-by: snghsvn --- .../rust/src/api.rs | 54 +--- .../rust/src/ffm.rs | 8 + .../rust/src/lib.rs | 3 + .../rust/src/memory.rs | 196 +++++++++++++-- .../rust/src/memory_guard.rs | 43 ++++ .../rust/src/spill_e2e_test.rs | 204 +++++++++++++++ .../be/datafusion/DataFusionPlugin.java | 232 +++++++++++++----- .../be/datafusion/DatafusionSettings.java | 1 + .../be/datafusion/nativelib/NativeBridge.java | 19 ++ .../DataFusionPluginSettingsTests.java | 133 +++++++++- .../datafusion/DatafusionSettingsTests.java | 3 +- .../DataFormatAwareDFASnapshotBlockingIT.java | 2 + .../DataFormatAwareReadonlyGetByIdIT.java | 2 + 13 files changed, 773 insertions(+), 127 deletions(-) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/spill_e2e_test.rs diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 173d6e3137e59..06b9ff4a99a19 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -488,11 +488,7 @@ pub fn create_global_runtime( crate::memory_guard::mark_spill_disabled(); DiskManagerBuilder::default().with_mode(DiskManagerMode::Disabled) } else { - let effective_spill_limit = if spill_limit == 0 { - resolve_dynamic_spill_limit(spill_dir) - } else { - spill_limit as u64 - }; + let effective_spill_limit = spill_limit as u64; // Wipe leaked entries from a prior non-graceful shutdown. // @@ -1125,36 +1121,6 @@ pub async unsafe fn fetch_by_row_ids( Ok(wrap_stream_as_handle(df_stream, manager.cpu_executor(), runtime, context_id)) } -/// it; the failure mode is documented here to keep the dispatch contract -/// explicit. -/// Resolve the dynamic spill limit based on available disk space. -/// Uses 80% of available space on the spill directory's filesystem. -/// Falls back to 8GB if disk space cannot be determined. -fn resolve_dynamic_spill_limit(spill_dir: &str) -> u64 { - const FRACTION: f64 = 0.80; - const FALLBACK: u64 = 8 * 1024 * 1024 * 1024; // 8GB - - let _ = std::fs::create_dir_all(spill_dir); - - match crate::memory_guard::available_disk_space(spill_dir) { - Some(available) => { - let limit = (available as f64 * FRACTION) as u64; - log::info!( - "Dynamic spill limit: {} bytes (80% of {} available on {})", - limit, available, spill_dir - ); - limit - } - None => { - log::warn!( - "Could not determine disk space for '{}', using fallback {}GB", - spill_dir, FALLBACK / (1024 * 1024 * 1024) - ); - FALLBACK - } - } -} - /// Inspect substrait plan bytes for routing signals. /// Returns (has_index_filter, has_row_id). fn inspect_plan_bytes(plan_bytes: &[u8]) -> (bool, bool) { @@ -2003,11 +1969,10 @@ mod tests { #[test] fn create_global_runtime_with_spill_dir_enables_disk_manager() { // Non-empty spill_dir takes the Directories(...) path. tmp_files_enabled() must - // be true so spill attempts succeed. Passing spill_limit=0 also exercises the - // dynamic-limit resolver (resolve_dynamic_spill_limit + set_spill_dir). The - // budget must NOT be Disabled — set_spill_dir flips SPILL_ENABLED on. Whether - // it's Available or Critical depends on the test host's free disk; both prove - // the enabled-path branch is taken. + // be true so spill attempts succeed. The budget must NOT be Disabled — + // set_spill_dir flips SPILL_ENABLED on. Whether it's Available or Critical + // depends on the test host's free disk; both prove the enabled-path branch + // is taken. // // Also doubles as a startup-cleanup regression check: drop a "leaked" sentinel // file in the directory before the call and assert it's gone after. @@ -2020,7 +1985,7 @@ mod tests { fs::write(&sentinel, b"stale spill data").expect("seed sentinel"); assert!(sentinel.exists(), "sentinel must exist before runtime build"); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024).expect("runtime build"); assert!(ptr > 0); // Phase 1 renames the sentinel file to leaked_from_prior_run.tmp.stale @@ -2036,6 +2001,11 @@ mod tests { runtime.runtime_env.disk_manager.tmp_files_enabled(), "expected DiskManagerMode::Directories when spill_dir is set" ); + assert_eq!( + runtime.runtime_env.disk_manager.max_temp_directory_size(), + 1024 * 1024 * 1024, + "DiskManager cap must equal the positive spill_limit passed in" + ); assert_ne!( crate::memory_guard::per_query_spill_budget(), crate::memory_guard::SpillBudget::Disabled, @@ -2072,7 +2042,7 @@ mod tests { assert!(top_file.exists()); assert!(nested_file.exists()); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024).expect("runtime build"); assert!(ptr > 0); // Phase 1: original names gone (renamed to *.stale). diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 3a1c01ea3e666..3ec85a23b2f4e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -219,6 +219,14 @@ pub extern "C" fn df_set_reduce_target_partitions(value: i64) { api::set_reduce_target_partitions(value); } +/// Sets the spill-exemption cap in bytes (the total in-flight allocation allowed +/// through the 85% spill gate by spillable consumers so they can finish spilling). +/// Live-tunable; takes effect on the next try_grow. Java: NativeBridge.setSpillExemptCapBytes(long). +#[no_mangle] +pub extern "C" fn df_set_spill_exempt_cap_bytes(value: i64) { + crate::memory_guard::set_spill_exempt_cap_bytes(value.max(0) as u64); +} + /// Sets memory guard thresholds. Values are thresholds multiplied by 1000 /// (e.g., 700 = 0.70, 850 = 0.85, 950 = 0.95). #[no_mangle] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index c1c853db2c04a..6bf408fc42206 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -58,3 +58,6 @@ pub mod native_node_stats; pub mod search_stats; pub mod stats; pub mod task_monitors; + +#[cfg(test)] +mod spill_e2e_test; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs index bc5984295d6b2..c4a92d69f463c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs @@ -19,6 +19,57 @@ use std::sync::Arc; use datafusion::common::DataFusionError; use datafusion::execution::memory_pool::{MemoryPool, MemoryReservation}; +/// Outcome of the 85%→95% spill-gate decision for one reservation. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub(crate) enum SpillGateDecision { + /// Allow the request through so the spill can finish writing. + Exempt, + /// Reject: not a spillable consumer, so reject it to make it spill. + RejectNonSpillable, + /// Reject: spillable, but the request is larger than the remaining budget. + RejectCapped, +} + +/// Decides what to do with a memory request whose RSS is in the 85%-to-95% +/// band (above the spill threshold, below the critical threshold). +/// +/// A request from a spillable consumer is allowed through ("exempt"). When such +/// a consumer hits the spill threshold it spills: it frees its existing data +/// first, then needs a small temporary buffer to write the spilled data out. +/// That buffer must be allowed to allocate, otherwise the spill cannot finish +/// and the query gets stuck. The exemption is bounded by a fixed byte budget, +/// `cap - outstanding`, so that many spills happening at once cannot add up to +/// enough memory to cross the 95% critical threshold. +/// +/// The decision deliberately does not look at how many pages the allocator has +/// freed-but-not-yet-returned. Right after a spill frees its data, the OS RSS +/// has not dropped yet (the allocator holds the pages), so that signal reads as +/// near-zero exactly when the spill needs its buffer, and an earlier version of +/// this code wrongly rejected the buffer ("Failed to reserve memory for sort +/// during spill"). The fixed byte budget avoids that. The caller still applies +/// the pool-limit check and the 95% critical check, so the node stays protected +/// from running out of memory. +/// +/// Kept as a separate pure function so it can be unit-tested without needing +/// real process memory. The 95% critical check runs in the caller before this +/// is called, so this can never allow crossing 95%. +pub(crate) fn spill_gate_decision( + can_spill: bool, + additional: usize, + cap: usize, + outstanding: usize, +) -> SpillGateDecision { + if !can_spill { + return SpillGateDecision::RejectNonSpillable; + } + let cap_room = cap.saturating_sub(outstanding); + if additional <= cap_room { + SpillGateDecision::Exempt + } else { + SpillGateDecision::RejectCapped + } +} + /// A `MemoryPool` whose limit can be changed at runtime. /// /// Behaviour matches `GreedyMemoryPool` exactly, except the limit is stored @@ -32,6 +83,12 @@ pub struct DynamicLimitPool { used: AtomicUsize, dynamic_limit: Arc, tripped_count: Arc, + /// Total bytes currently allowed through the 85% gate by the spill + /// exemption that have not yet been freed. This is the `outstanding` value + /// the exemption budget is measured against, so concurrent spills together + /// cannot exceed the cap. Increased when a request is exempted, decreased in + /// `shrink` as memory is freed (saturating, so it never goes below zero). + exempt_outstanding: AtomicUsize, } /// Handle to change the pool limit at runtime. @@ -76,6 +133,7 @@ impl DynamicLimitPool { used: AtomicUsize::new(0), dynamic_limit: limit, tripped_count: tripped, + exempt_outstanding: AtomicUsize::new(0), }; (pool, handle) } @@ -120,6 +178,15 @@ impl MemoryPool for DynamicLimitPool { fn shrink(&self, _reservation: &MemoryReservation, shrink: usize) { self.used.fetch_sub(shrink, Ordering::Relaxed); + // Give back exemption budget as memory is freed (a spill writing out its + // data calls `shrink`). Subtract without going below zero. A normal, + // non-exempt shrink may give budget back a little early, which is safe: + // it only makes the exemption stricter, never looser. + let _ = self + .exempt_outstanding + .fetch_update(Ordering::Relaxed, Ordering::Relaxed, |out| { + Some(out.saturating_sub(shrink)) + }); } fn try_grow( @@ -127,21 +194,18 @@ impl MemoryPool for DynamicLimitPool { reservation: &MemoryReservation, additional: usize, ) -> Result<(), DataFusionError> { - // Two-tier RSS guard for in-flight queries: - // - // - operator (85%): reject to trigger spill. The operator will flush its hash - // table to disk and retry. This is recoverable — the query continues. - // - critical (95%): hard reject to prevent OOM. Last resort — even spill can't - // save the node at this pressure level. + // Two memory checks based on process RSS: + // - At 95% (critical): reject every request. This is the hard limit that + // protects the node from running out of memory. + // - At 85% (spill): reject requests so consumers spill to disk, except + // spillable consumers, which are allowed through so they can finish + // spilling (see `spill_gate_decision`). The exemption is bounded by a + // byte budget, and the pool-limit and 95% checks still apply, so this + // cannot push the node over the limit. // - // Between 85-95%, the override (below) ensures spill sort buffers can still - // allocate: when the CAS fails and RSS has dropped below operator threshold - // (because the hash table was freed during spill), the override fires and - // allows the sort allocation through. - // - // The adaptive cache (cached_resident_bytes) bypasses the 100ms cache when - // the last value was above operator threshold — so the override sees the - // fresh (lower) RSS after spill frees memory, not a stale peak. + // Set if a spillable consumer is allowed through the 85% check; its + // budget is only counted after the allocation actually succeeds below. + let mut exempted = false; let limit = self.dynamic_limit.load(Ordering::Acquire); let resident = crate::memory_guard::cached_resident_bytes(); if resident > 0 && limit >= 16 * 1024 * 1024 { @@ -151,9 +215,9 @@ impl MemoryPool for DynamicLimitPool { let resident_usize = resident as usize; // Critical (95%): hard reject — OOM imminent, protect the node. + // Absolute and pre-CAS for every consumer, spillable or not. if resident_usize > critical_bytes { self.tripped_count.fetch_add(1, Ordering::Relaxed); - let used = self.used.load(Ordering::Relaxed); return Err(crate::native_error::pool_limit_error( additional, reservation.consumer().name(), @@ -163,19 +227,29 @@ impl MemoryPool for DynamicLimitPool { )); } - // Operator (85%): soft reject — triggers spill. The operator will - // flush to disk, free memory, then retry. Spill sort buffers will - // succeed on retry because RSS drops and the override allows them. + // RSS is between 85% and 95%. Allow a spillable consumer through so + // it can finish spilling; reject everything else so it spills. if resident_usize > spill_bytes { - self.tripped_count.fetch_add(1, Ordering::Relaxed); - let used = self.used.load(Ordering::Relaxed); - return Err(crate::native_error::pool_limit_error( - additional, - reservation.consumer().name(), - reservation.size(), - 0, - limit, - )); + let can_spill = reservation.consumer().can_spill(); + let outstanding = self.exempt_outstanding.load(Ordering::Relaxed); + let cap = crate::memory_guard::spill_exempt_cap_bytes(); + + match spill_gate_decision(can_spill, additional, cap, outstanding) { + // Continue to the allocation below. Only count this against + // the budget if the allocation actually succeeds (see + // `exempted`), so a failed one doesn't use up the budget. + SpillGateDecision::Exempt => exempted = true, + _ => { + self.tripped_count.fetch_add(1, Ordering::Relaxed); + return Err(crate::native_error::pool_limit_error( + additional, + reservation.consumer().name(), + reservation.size(), + 0, + limit, + )); + } + } } } @@ -190,6 +264,11 @@ impl MemoryPool for DynamicLimitPool { }); if cas_result.is_ok() { + // Charge the exemption budget only now that the grow succeeded; + // released saturating in `shrink`. + if exempted { + self.exempt_outstanding.fetch_add(additional, Ordering::Relaxed); + } return Ok(()); } @@ -210,6 +289,9 @@ impl MemoryPool for DynamicLimitPool { let _ = self.used.fetch_update(Ordering::Relaxed, Ordering::Relaxed, |u| { u.checked_add(additional) }); + if exempted { + self.exempt_outstanding.fetch_add(additional, Ordering::Relaxed); + } return Ok(()); } } @@ -535,4 +617,64 @@ mod tests { ); assert_eq!(pool.reserved(), 4096); } + + // ---- Spill-gate exemption rule (pure, deterministic) ---- + + const MB: usize = 1024 * 1024; + + #[test] + fn test_spill_gate_rejects_non_spillable() { + // A non-spillable consumer in the 85% band is always rejected so it + // triggers spill — regardless of the cap budget. + let d = spill_gate_decision(false, 256 * 1024, 512 * MB, 0); + assert_eq!(d, SpillGateDecision::RejectNonSpillable); + } + + #[test] + fn test_spill_gate_exempts_spillable_within_cap() { + // Spillable, small request, full cap available → exempt. + // Mirrors the observed 256 KiB spill-trigger allocation. + let d = spill_gate_decision(true, 262_528, 512 * MB, 0); + assert_eq!(d, SpillGateDecision::Exempt); + } + + #[test] + fn test_spill_gate_exempts_buffer_within_budget() { + // A 193 MB spill buffer must be allowed through as long as it fits the + // budget. An earlier version also looked at how much memory the allocator + // had freed but not yet returned, which reads as near-zero right when a + // spill needs its buffer, so it wrongly rejected this and the spill could + // not finish. The decision now depends only on the budget. + let d = spill_gate_decision(true, 193 * MB, 512 * MB, 0); + assert_eq!(d, SpillGateDecision::Exempt); + // A buffer larger than the whole budget is still rejected. + let d2 = spill_gate_decision(true, 600 * MB, 512 * MB, 0); + assert_eq!(d2, SpillGateDecision::RejectCapped); + } + + #[test] + fn test_spill_gate_caps_when_budget_exhausted() { + // Most of the budget is already used (500MB of a 512MB cap, leaving + // 12MB). A 64 MB request does not fit, so it is rejected. + let d = spill_gate_decision(true, 64 * MB, 512 * MB, 500 * MB); + assert_eq!(d, SpillGateDecision::RejectCapped); + // A request that fits the remaining 12 MB is allowed through. + let d2 = spill_gate_decision(true, 8 * MB, 512 * MB, 500 * MB); + assert_eq!(d2, SpillGateDecision::Exempt); + } + + #[test] + fn test_spill_gate_bound_is_cap_minus_outstanding() { + // The sole bound is the hard cap minus outstanding exemptions. + // 40MB room (512 - 472), 60MB request → rejected. + assert_eq!( + spill_gate_decision(true, 60 * MB, 512 * MB, 472 * MB), + SpillGateDecision::RejectCapped + ); + // Same request fits when the cap is unused. + assert_eq!( + spill_gate_decision(true, 60 * MB, 512 * MB, 0), + SpillGateDecision::Exempt + ); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs index 123310f9f75b4..76c15ef8af08f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs @@ -93,6 +93,22 @@ static ADMISSION_REJECT_X1000: AtomicU64 = AtomicU64::new(850); static EXECUTION_SPILL_X1000: AtomicU64 = AtomicU64::new(850); static EXECUTION_CRITICAL_X1000: AtomicU64 = AtomicU64::new(950); +// Total byte budget for the spill-gate exemption (see +// `DynamicLimitPool::try_grow`). Limits how much memory spillable consumers can +// be allowed through the 85% check at the same time, so several spills together +// stay below the 95% limit. Default 512MB. +static SPILL_EXEMPT_CAP_BYTES: AtomicU64 = AtomicU64::new(512 * 1024 * 1024); + +/// Set the spill-gate exemption byte cap at runtime. +pub fn set_spill_exempt_cap_bytes(bytes: u64) { + SPILL_EXEMPT_CAP_BYTES.store(bytes, Ordering::Release); +} + +/// Current spill-gate exemption byte cap. +pub fn spill_exempt_cap_bytes() -> usize { + SPILL_EXEMPT_CAP_BYTES.load(Ordering::Acquire) as usize +} + /// Which layer is asking for the override check. #[derive(Debug, Clone, Copy)] pub enum OverrideContext { @@ -372,6 +388,33 @@ mod tests { set_thresholds(MemoryThresholds::default()); } + #[test] + fn set_and_get_spill_exempt_cap() { + // Default is 512MB. + assert_eq!(spill_exempt_cap_bytes(), 512 * 1024 * 1024); + // Round-trips an arbitrary value. + set_spill_exempt_cap_bytes(64 * 1024 * 1024); + assert_eq!(spill_exempt_cap_bytes(), 64 * 1024 * 1024); + // Zero is valid (disables the exemption budget). + set_spill_exempt_cap_bytes(0); + assert_eq!(spill_exempt_cap_bytes(), 0); + // Restore default. + set_spill_exempt_cap_bytes(512 * 1024 * 1024); + } + + #[test] + fn ffi_spill_exempt_cap_clamps_negative_to_zero() { + // The FFI export takes a signed i64 (Java long); negative inputs must clamp + // to 0 rather than wrap to a huge u64. + crate::ffm::df_set_spill_exempt_cap_bytes(-1); + assert_eq!(spill_exempt_cap_bytes(), 0); + // A positive value passes through unchanged. + crate::ffm::df_set_spill_exempt_cap_bytes(256 * 1024 * 1024); + assert_eq!(spill_exempt_cap_bytes(), 256 * 1024 * 1024); + // Restore default. + set_spill_exempt_cap_bytes(512 * 1024 * 1024); + } + #[test] fn skip_for_small_pools() { // Pool below 16MB → always returns false (no override) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/spill_e2e_test.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/spill_e2e_test.rs new file mode 100644 index 0000000000000..61e311c804459 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/spill_e2e_test.rs @@ -0,0 +1,204 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! End-to-end disk-spill test for the analytics-backend-datafusion engine. +//! +//! Proves the full spill flow works through the *production* memory pool +//! ([`crate::memory::DynamicLimitPool`]) and a real on-disk [`DiskManager`]: +//! a high-cardinality `GROUP BY` over enough rows, run under a memory pool too +//! small to hold the hash table, must spill to disk **and still return correct +//! results**. +//! +//! How spill is observed: DataFusion records `SpillCount` / `SpilledBytes` +//! metrics on the operators that spill (the same signal DataFusion's own +//! aggregate spill tests assert on). We walk the executed physical plan tree +//! and sum those metrics; a non-zero `spill_count` is proof spill happened. +//! +//! Determinism: `DynamicLimitPool` only consults process RSS / the jemalloc +//! override when its limit is >= 16 MiB (see `memory_guard::should_override` +//! and the `skip_for_small_pools` unit test). With a sub-16 MiB limit it is a +//! pure size-bounded pool, so spill is forced deterministically by data volume +//! alone — no dependency on the test host's live RSS. + +#[cfg(test)] +mod tests { + use std::path::Path; + use std::sync::Arc; + + use arrow::datatypes::{DataType, Field, Schema}; + use arrow_array::{Int64Array, RecordBatch, StringArray}; + use datafusion::execution::context::SessionContext; + use datafusion::execution::disk_manager::{DiskManagerBuilder, DiskManagerMode}; + use datafusion::execution::memory_pool::MemoryPool; + use datafusion::execution::runtime_env::RuntimeEnvBuilder; + use datafusion::execution::SessionStateBuilder; + use datafusion::physical_plan::{collect, ExecutionPlan}; + use datafusion::prelude::{ParquetReadOptions, SessionConfig}; + use parquet::arrow::ArrowWriter; + use tempfile::TempDir; + + use crate::memory::DynamicLimitPool; + + /// Rows of test data. Large enough that the GROUP BY hash table dwarfs the + /// tiny memory pool, guaranteeing a spill. + const NUM_ROWS: usize = 500_000; + const NUM_FILES: usize = 4; + /// Pool limit kept below 16 MiB so the pool is a pure size-bounded pool + /// (no RSS gate / jemalloc override) — see module docs. 12 MiB is small + /// enough that the high-cardinality hash table can't stay resident (forcing + /// spill) but large enough that the spill machinery's own working reservations + /// can complete rather than erroring with ResourcesExhausted. + const POOL_LIMIT_BYTES: usize = 12 * 1024 * 1024; + + /// Writes `NUM_ROWS` rows across `NUM_FILES` parquet files. `id` is unique + /// (the high-cardinality GROUP BY key); `host` is low-cardinality filler so + /// each row carries a bit of payload. + fn write_parquet_data(dir: &Path) { + let schema = Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int64, false), + Field::new("host", DataType::Utf8, true), + ])); + + let rows_per_file = NUM_ROWS / NUM_FILES; + for file_idx in 0..NUM_FILES { + let start = file_idx * rows_per_file; + let ids: Vec = (start..start + rows_per_file).map(|i| i as i64).collect(); + let hosts: Vec = ids.iter().map(|i| format!("host-{:04}", i % 100)).collect(); + + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(ids)), + Arc::new(StringArray::from( + hosts.iter().map(|s| s.as_str()).collect::>(), + )), + ], + ) + .unwrap(); + + let path = dir.join(format!("data_{}.parquet", file_idx)); + let file = std::fs::File::create(&path).unwrap(); + let mut writer = ArrowWriter::try_new(file, schema.clone(), None).unwrap(); + writer.write(&batch).unwrap(); + writer.close().unwrap(); + } + } + + /// Recursively sums the `SpillCount` metric across every operator in the + /// executed plan tree (the spilling operator may be nested under others). + fn total_spill_count(plan: &dyn ExecutionPlan) -> usize { + let here = plan.metrics().and_then(|m| m.spill_count()).unwrap_or(0); + here + plan + .children() + .iter() + .map(|child| total_spill_count(child.as_ref())) + .sum::() + } + + /// Same as [`total_spill_count`] for the `SpilledBytes` metric. + fn total_spilled_bytes(plan: &dyn ExecutionPlan) -> usize { + let here = plan.metrics().and_then(|m| m.spilled_bytes()).unwrap_or(0); + here + plan + .children() + .iter() + .map(|child| total_spilled_bytes(child.as_ref())) + .sum::() + } + + #[tokio::test(flavor = "multi_thread", worker_threads = 2)] + async fn group_by_spills_to_disk_and_returns_correct_results() { + let data_dir = TempDir::new().unwrap(); + write_parquet_data(data_dir.path()); + + let spill_dir = TempDir::new().unwrap(); + + // Build a RuntimeEnv that mirrors production: the real DynamicLimitPool + // (deliberately tiny) plus an on-disk DiskManager rooted at spill_dir. + let pool: Arc = Arc::new(DynamicLimitPool::new(POOL_LIMIT_BYTES).0); + let runtime_env = RuntimeEnvBuilder::new() + .with_memory_pool(pool) + .with_disk_manager_builder(DiskManagerBuilder::default().with_mode( + DiskManagerMode::Directories(vec![spill_dir.path().to_path_buf()]), + )) + .build() + .unwrap(); + assert!( + runtime_env.disk_manager.tmp_files_enabled(), + "precondition: spill must be enabled for this test to be meaningful" + ); + + // Small batches + a couple of partitions keep per-operator memory low so + // the aggregator is pushed to spill rather than failing outright. + let mut config = SessionConfig::new(); + config.options_mut().execution.target_partitions = 2; + config.options_mut().execution.batch_size = 1024; + + let state = SessionStateBuilder::new() + .with_config(config) + .with_runtime_env(Arc::new(runtime_env)) + .with_default_features() + .build(); + let ctx = SessionContext::new_with_state(state); + + ctx.register_parquet( + "t", + data_dir.path().to_str().unwrap(), + ParquetReadOptions::default(), + ) + .await + .unwrap(); + + // High-cardinality GROUP BY: one group per (unique) id. The hash table + // holds ~NUM_ROWS groups — far more than the 4 MiB pool can keep + // resident — so the grouped aggregation must spill. + let df = ctx + .sql("SELECT id, COUNT(*) AS c FROM t GROUP BY id") + .await + .unwrap(); + let plan = df.create_physical_plan().await.unwrap(); + let batches = collect(plan.clone(), ctx.task_ctx()).await.unwrap(); + + // ── Correctness: spilling must not change the answer ── + let total_rows: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!( + total_rows, NUM_ROWS, + "every unique id must yield exactly one group" + ); + + // Every group's COUNT(*) must be 1 (ids are unique), so the counts sum + // to NUM_ROWS. This catches data loss/duplication across the spill cycle. + let mut count_sum: i64 = 0; + for b in &batches { + let counts = b + .column(1) + .as_any() + .downcast_ref::() + .expect("COUNT(*) column is Int64"); + for i in 0..counts.len() { + assert_eq!(counts.value(i), 1, "each unique id appears exactly once"); + count_sum += counts.value(i); + } + } + assert_eq!(count_sum as usize, NUM_ROWS, "counts must sum to row count"); + + // ── Spill actually happened ── + let spill_count = total_spill_count(plan.as_ref()); + let spilled_bytes = total_spilled_bytes(plan.as_ref()); + assert!( + spill_count > 0, + "expected the grouped aggregation to spill to disk under a {}MiB pool, \ + but SpillCount across the plan was 0", + POOL_LIMIT_BYTES / (1024 * 1024) + ); + assert!( + spilled_bytes > 0, + "spill happened (spill_count={}) but SpilledBytes was 0", + spill_count + ); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index b11e989872471..21a9b6b0539d5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -50,7 +50,6 @@ import org.opensearch.index.engine.exec.IndexReaderProvider; import org.opensearch.index.get.DocumentLookupResult; import org.opensearch.indices.breaker.BreakerSettings; -import org.opensearch.monitor.os.OsProbe; import org.opensearch.nativebridge.spi.NativeMemoryFetcher; import org.opensearch.nativebridge.spi.RustLoggerBridge; import org.opensearch.node.resource.tracker.ResourceTrackerSettings; @@ -73,10 +72,12 @@ import org.opensearch.watcher.ResourceWatcherService; import java.io.IOException; +import java.nio.file.FileStore; import java.nio.file.Path; import java.util.Collection; import java.util.Collections; import java.util.HashMap; +import java.util.Iterator; import java.util.List; import java.util.Map; import java.util.function.Function; @@ -102,6 +103,67 @@ public class DataFusionPlugin extends Plugin private static final Logger logger = LogManager.getLogger(DataFusionPlugin.class); + /** Fraction of the spill volume's total capacity used as the default cap. */ + static final double SPILL_LIMIT_FRACTION = 0.90; + + /** Fallback when the spill volume's capacity cannot be probed. 8 GiB. */ + static final long SPILL_LIMIT_FALLBACK_BYTES = 8L * 1024 * 1024 * 1024; + + /** + * Validates {@link #DATAFUSION_SPILL_MEMORY_LIMIT} against {@link #DATAFUSION_SPILL_DIRECTORY}: + *

      + *
    • If spill is disabled (empty directory), only {@code 0} is accepted.
      • + *
    • If spill is enabled, the value must not exceed the spill volume's total capacity + * (probed live via {@link FileStore#getTotalSpace()}).
      • + *
    + * Probes the filesystem on each validate call. Cluster-settings updates are infrequent and + * the probe is a single syscall (~µs), so caching is not worth the bookkeeping cost. + * If the probe fails ({@link IOException}) the capacity check is skipped — operators retain + * the ability to set the cap; only the safety-net validation is disabled. + */ + static final class SpillLimitValidator implements Setting.Validator { + @Override + public void validate(Long value) { + // Range check (>= 0) lives in the parser; nothing to do here without dependencies. + } + + @Override + public void validate(Long value, Map, Object> dependencies) { + String dir = (String) dependencies.get(DATAFUSION_SPILL_DIRECTORY); + if (dir == null) { + dir = ""; + } + if (dir.isEmpty()) { + if (value != 0L) { + throw new IllegalArgumentException( + "Setting [datafusion.spill_memory_limit_bytes]=" + + value + + " is non-zero but datafusion.spill_directory is unset (spill disabled)" + ); + } + return; + } + long total; + try { + total = Environment.getFileStore(Path.of(dir)).getTotalSpace(); + } catch (IOException e) { + // Probe failed — skip the capacity check. Same fail-open behavior as the + // boot-time default derivation. + return; + } + if (total > 0 && value > total) { + throw new IllegalArgumentException( + "Setting [datafusion.spill_memory_limit_bytes]=" + value + " exceeds spill volume capacity (" + total + " bytes)" + ); + } + } + + @Override + public Iterator> settings() { + return List.>of(DATAFUSION_SPILL_DIRECTORY).iterator(); + } + } + /** * Memory pool limit for the DataFusion runtime. * @@ -162,21 +224,46 @@ static String deriveMemoryPoolLimitDefault(Settings settings) { return Long.toString(pool); } + /** + * Spill directory used by DataFusion's {@code DiskManager} for intermediate state when + * operators (HashAggregate, Sort, TopK) exceed {@link #DATAFUSION_MEMORY_POOL_LIMIT}. + * + *

    Optional. When set, DataFusion uses {@code DiskManagerMode::Directories} to spill + * to the configured path. When unset (empty), DataFusion runs in + * {@code DiskManagerMode::Disabled} — spill is off and queries that exceed + * {@link #DATAFUSION_MEMORY_POOL_LIMIT} fail with a clear "DiskManager is disabled" error + * rather than silently spilling somewhere unexpected. + * + *

    {@code Final} because DataFusion's {@code DiskManager} is built once at runtime + * startup; changing the directory mid-flight would orphan in-progress spill files. + * + *

    Declared before {@link #DATAFUSION_SPILL_MEMORY_LIMIT} because the {@code Setting} + * constructor evaluates the default-value supplier eagerly (under {@code -ea}); the + * spill-limit default reads this setting, so it must be initialized first. + */ + public static final Setting DATAFUSION_SPILL_DIRECTORY = new Setting<>( + "datafusion.spill_directory", + "", + Function.identity(), + DataFusionPlugin::validateSpillDirectory, + Setting.Property.NodeScope, + Setting.Property.Final + ); + /** * Disk-staging budget for DataFusion spill. When in-memory operations (HashAggregate, Sort, * TopK) exceed {@link #DATAFUSION_MEMORY_POOL_LIMIT}, DataFusion writes working state to disk; * this setting caps how much disk space that staging can consume. * - *

    Default: 50% of physical RAM. Spill is a disk budget, not a memory budget, - * so it is intentionally not derived from {@link ResourceTrackerSettings#NODE_NATIVE_MEMORY_LIMIT_SETTING} - * — the operator-declared off-heap budget bounds working memory, but the spill ceiling needs - * to scale with how much state could plausibly need to spill across all concurrent queries, - * which tracks physical RAM rather than the off-heap carve-out. 50% is a conservative upper - * bound that leaves room for page cache, JVM heap, and OS overhead. + *

    Default: 80% of the spill volume's total disk capacity. Spill is a disk + * budget, not a memory budget, so the default is derived from the disk volume itself rather + * than from physical RAM or the off-heap carve-out. This sizes correctly on both supported + * deployment patterns: a dedicated EBS volume mounted at the spill directory, or the spill + * directory on the same disk as the OpenSearch process. * - *

    Falls back to {@link Long#MAX_VALUE} when {@link OsProbe#getTotalPhysicalMemorySize()} - * returns 0 (containerized environments where {@code /proc/meminfo} is restricted), preserving - * pre-AC unbounded behaviour. + *

    When {@link #DATAFUSION_SPILL_DIRECTORY} is unset (empty), returns {@code 0} — spill is + * disabled and the cap is irrelevant. Falls back to {@link #SPILL_LIMIT_FALLBACK_BYTES} + * (8 GiB) when the spill volume cannot be probed. * *

    Dynamic only when the loaded native library exports {@code df_set_spill_limit} * (see {@link org.opensearch.be.datafusion.nativelib.NativeBridge#isSpillLimitDynamic()}). @@ -185,8 +272,8 @@ static String deriveMemoryPoolLimitDefault(Settings settings) { * logs a warning in that case. */ public static final Setting DATAFUSION_SPILL_MEMORY_LIMIT = new Setting<>( - "datafusion.spill_memory_limit_bytes", - s -> deriveSpillLimitDefault(), + new Setting.SimpleKey("datafusion.spill_memory_limit_bytes"), + DataFusionPlugin::deriveSpillLimitDefault, s -> { long v = Long.parseLong(s); if (v < 0) { @@ -194,32 +281,11 @@ static String deriveMemoryPoolLimitDefault(Settings settings) { } return v; }, + new SpillLimitValidator(), Setting.Property.NodeScope, Setting.Property.Dynamic ); - /** - * Spill directory used by DataFusion's {@code DiskManager} for intermediate state when - * operators (HashAggregate, Sort, TopK) exceed {@link #DATAFUSION_MEMORY_POOL_LIMIT}. - * - *

    Optional. When set, DataFusion uses {@code DiskManagerMode::Directories} to spill - * to the configured path. When unset (empty), DataFusion runs in - * {@code DiskManagerMode::Disabled} — spill is off and queries that exceed - * {@link #DATAFUSION_MEMORY_POOL_LIMIT} fail with a clear "DiskManager is disabled" error - * rather than silently spilling somewhere unexpected. - * - *

    {@code Final} because DataFusion's {@code DiskManager} is built once at runtime - * startup; changing the directory mid-flight would orphan in-progress spill files. - */ - public static final Setting DATAFUSION_SPILL_DIRECTORY = new Setting<>( - "datafusion.spill_directory", - "", - Function.identity(), - DataFusionPlugin::validateSpillDirectory, - Setting.Property.NodeScope, - Setting.Property.Final - ); - /** * Validates {@link #DATAFUSION_SPILL_DIRECTORY}. Empty (the unset sentinel) is accepted * and signals that spill should be disabled. Non-empty values must parse as a {@link Path}. @@ -242,20 +308,36 @@ static String validateSpillDirectory(String value) { } /** - * Computes the default for {@link #DATAFUSION_SPILL_MEMORY_LIMIT} as 50% of physical RAM. - * Returns the bytes-as-string representation expected by the {@link Setting} parser. + * Computes the default for {@link #DATAFUSION_SPILL_MEMORY_LIMIT}. * - *

    Falls back to {@link Long#MAX_VALUE} when the OS probe cannot read total physical memory - * (returns 0 or negative), which happens in some containerized environments. Preserving the - * unbounded fallback matches the pattern used by {@link #DATAFUSION_MEMORY_POOL_LIMIT} and - * {@code ArrowBasePlugin}'s pool-max defaults when AC is unconfigured. + *

      + *
    • When {@link #DATAFUSION_SPILL_DIRECTORY} is unset (empty), returns {@code "0"} — + * spill is disabled and the cap is irrelevant.
      • + *
    • When set, returns {@link #SPILL_LIMIT_FRACTION} of the spill volume's + * {@link FileStore#getTotalSpace() total space}.
      • + *
    • When the file store cannot be probed (transient FS hiccup after boot probe), + * returns {@link #SPILL_LIMIT_FALLBACK_BYTES} — a conservative 8 GiB.
      • + *
    + * + *

    Spill is a disk budget, so the default is derived from the disk volume itself + * rather than from physical RAM. This sizes correctly on both supported deployment + * patterns: a dedicated EBS volume mounted at the spill directory, or the spill + * directory on the same disk as the OpenSearch process. */ - static String deriveSpillLimitDefault() { - long totalRam = OsProbe.getInstance().getTotalPhysicalMemorySize(); - if (totalRam <= 0) { - return Long.toString(Long.MAX_VALUE); + static String deriveSpillLimitDefault(Settings settings) { + String dir = DATAFUSION_SPILL_DIRECTORY.get(settings); + if (dir == null || dir.isEmpty()) { + return "0"; + } + try { + long total = Environment.getFileStore(Path.of(dir)).getTotalSpace(); + if (total <= 0) { + return Long.toString(SPILL_LIMIT_FALLBACK_BYTES); + } + return Long.toString((long) (total * SPILL_LIMIT_FRACTION)); + } catch (IOException e) { + return Long.toString(SPILL_LIMIT_FALLBACK_BYTES); } - return Long.toString(totalRam / 2); } /** @@ -346,6 +428,21 @@ static String deriveSpillLimitDefault() { Setting.Property.Dynamic ); + /** + * Total in-flight allocation in bytes allowed through the 85% spill gate by spillable consumers + * so they can finish spilling before the pool rejects them. Bounds how much concurrent spilling + * can collectively borrow above the spill threshold while staying below the 95% critical limit. + * Default 536870912 (512MB) expressed in raw bytes. Live-tunable — takes effect on the next + * allocation decision. + */ + public static final Setting DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP = Setting.longSetting( + "datafusion.memory_guard.spill_exempt_cap_bytes", + 536870912L, + 0L, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + /** * Selects how the coordinator-reduce sink hands shard responses to the native runtime. *

      @@ -495,18 +592,30 @@ public Collection createComponents( clusterService.getClusterSettings() .addSettingsUpdateConsumer(DATAFUSION_REDUCE_TARGET_PARTITIONS, NativeBridge::setReduceTargetPartitions); clusterService.getClusterSettings() - .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD, v -> updateMemoryGuardThresholds()); + .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP, NativeBridge::setSpillExemptCapBytes); + // The four memory-guard thresholds are pushed to the native pool together via a single + // grouped consumer. This MUST use the grouped Consumer overload (not + // `v -> updateMemoryGuardThresholds()` re-reading via getClusterSettings().get()): during + // an apply cycle the per-setting getter resolves against `lastSettingsApplied`, which the + // settings framework only swaps in AFTER all update consumers have run — so a callback that + // re-reads sees the stale/previous value and would push defaults instead of the new value. + // The grouped consumer receives a Settings built from the cycle's new (`current`) settings, + // so reading each threshold from it yields the value just set. clusterService.getClusterSettings() - .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD, v -> updateMemoryGuardThresholds()); + .addSettingsUpdateConsumer( + this::updateMemoryGuardThresholds, + List.of( + DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD, + DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD, + DATAFUSION_MEMORY_GUARD_EXECUTION_SPILL_THRESHOLD, + DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD + ) + ); // Push Rust log level whenever any logger.* cluster setting changes, so Rust macros // can short-circuit format!() for suppressed levels without polling. clusterService.getClusterSettings() .addAffixUpdateConsumer(Loggers.LOG_LEVEL_SETTING, (namespace, level) -> RustLoggerBridge.pushLevel(), (k, v) -> {}); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_EXECUTION_SPILL_THRESHOLD, v -> updateMemoryGuardThresholds()); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD, v -> updateMemoryGuardThresholds()); // Wire dynamic concurrency gate multiplier settings int cpuThreads = DataFusionService.cpuThreadCount(); @@ -519,6 +628,7 @@ public Collection createComponents( // Apply initial values NativeBridge.setMinTargetPartitions(DATAFUSION_MIN_TARGET_PARTITIONS.get(settings)); NativeBridge.setReduceTargetPartitions(DATAFUSION_REDUCE_TARGET_PARTITIONS.get(settings)); + NativeBridge.setSpillExemptCapBytes(DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.get(settings)); NativeBridge.setMemoryGuardThresholds( DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD.get(settings), DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD.get(settings), @@ -761,11 +871,21 @@ private void recomputePageCacheLimits(org.opensearch.common.settings.ClusterSett NativeBridge.setOffsetIndexCacheLimit(oiLimit); } - private void updateMemoryGuardThresholds() { - double admissionThrottle = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD); - double admissionReject = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD); - double executionSpill = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_EXECUTION_SPILL_THRESHOLD); - double executionCritical = clusterService.getClusterSettings().get(DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD); + /** + * Pushes the four memory-guard thresholds to the native pool. Reads each value from the + * `updated` Settings supplied by the grouped settings-update consumer — which the framework + * builds from the cycle's new settings — rather than re-reading via + * `clusterService.getClusterSettings().get(...)`. The latter resolves against + * `lastSettingsApplied`, which is not swapped in until after all update consumers have run, so + * re-reading mid-cycle would yield the stale/previous value (the root cause of thresholds + * silently not updating at runtime). Unchanged thresholds are filled with their registered + * defaults in `updated`, so passing all four every time is correct. + */ + private void updateMemoryGuardThresholds(Settings updated) { + double admissionThrottle = DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD.get(updated); + double admissionReject = DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD.get(updated); + double executionSpill = DATAFUSION_MEMORY_GUARD_EXECUTION_SPILL_THRESHOLD.get(updated); + double executionCritical = DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD.get(updated); NativeBridge.setMemoryGuardThresholds(admissionThrottle, admissionReject, executionSpill, executionCritical); logger.info( "Updated DataFusion memory guard thresholds: admission_throttle={}, admission_reject={}, execution_spill={}, execution_critical={}", diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java index b278c4da6ed9d..562f9d6464f4d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java @@ -289,6 +289,7 @@ static String derivePoolMinDefault(Settings settings, int percent) { DataFusionPlugin.DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD, DataFusionPlugin.DATAFUSION_MEMORY_GUARD_EXECUTION_SPILL_THRESHOLD, DataFusionPlugin.DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD, + DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP, DATAFUSION_MEMORY_POOL_MIN, // Cache settings — metadata, statistics, and metadata-index cache configuration diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index d6040dd6e7344..0778b027a8f5b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -102,6 +102,7 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle SET_SPILL_LIMIT; private static final MethodHandle SET_MIN_TARGET_PARTITIONS; private static final MethodHandle SET_REDUCE_TARGET_PARTITIONS; + private static final MethodHandle SET_SPILL_EXEMPT_CAP_BYTES; private static final MethodHandle SET_MEMORY_GUARD_THRESHOLDS; private static final MethodHandle CREATE_READER; private static final MethodHandle CLOSE_READER; @@ -222,6 +223,11 @@ private static RuntimeException rethrowConverted(RuntimeException e) { FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) ); + SET_SPILL_EXEMPT_CAP_BYTES = linker.downcallHandle( + lib.find("df_set_spill_exempt_cap_bytes").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + SET_MEMORY_GUARD_THRESHOLDS = linker.downcallHandle( lib.find("df_set_memory_guard_thresholds").orElseThrow(), FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) @@ -824,6 +830,19 @@ public static void setReduceTargetPartitions(int value) { } } + /** + * Sets the spill-exemption cap in bytes — the total in-flight allocation allowed through the + * 85% spill gate by spillable consumers so they can finish spilling. Live-tunable; takes effect + * on the next try_grow. + */ + public static void setSpillExemptCapBytes(long bytes) { + try { + SET_SPILL_EXEMPT_CAP_BYTES.invokeExact(bytes); + } catch (Throwable t) { + logger.debug("Failed to set spill exempt cap bytes", t); + } + } + /** Sets the memory guard thresholds (0.0–1.0): admission throttle, admission reject, execution spill, execution critical. */ public static void setMemoryGuardThresholds( double admissionThrottle, diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index 9eccbd86de45c..61bacf9a710fb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -10,6 +10,7 @@ import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; +import org.opensearch.env.Environment; import org.opensearch.test.OpenSearchTestCase; import java.nio.file.Files; @@ -115,7 +116,7 @@ public void testGetSettingsReturnsAllIndexedSettings() { public void testGetSettingsReturnsTotalExpectedCount() { try (DataFusionPlugin plugin = new DataFusionPlugin()) { List> settings = plugin.getSettings(); - assertEquals(31, settings.size()); + assertEquals(32, settings.size()); } catch (Exception e) { throw new AssertionError(e); } @@ -239,4 +240,134 @@ public void testMemoryPoolLimitRejectsNegative() { ); assertTrue(e.getMessage().contains("must be >= 0")); } + + public void testDeriveSpillLimitDefaultWithEmptySpillDirReturnsZero() { + Settings settings = Settings.builder().put("datafusion.spill_directory", "").build(); + String defaultValue = DataFusionPlugin.deriveSpillLimitDefault(settings); + assertEquals("Empty spill_directory must yield default 0 (spill disabled)", "0", defaultValue); + } + + public void testDeriveSpillLimitDefaultWithValidSpillDirReturnsFractionOfTotal() throws Exception { + Path spillDir = createTempDir(); + Settings settings = Settings.builder().put("datafusion.spill_directory", spillDir.toString()).build(); + long total = Environment.getFileStore(spillDir).getTotalSpace(); + assertTrue("test host must report a non-zero total space for the temp dir", total > 0); + long expected = (long) (total * 0.90); + long actual = Long.parseLong(DataFusionPlugin.deriveSpillLimitDefault(settings)); + assertEquals("Default must be 90% of the spill volume's total space", expected, actual); + } + + public void testDeriveSpillLimitDefaultWithMissingSpillDirReturnsFallback() { + // Path that doesn't exist → getFileStore throws IOException → fallback applies. + Settings settings = Settings.builder() + .put("datafusion.spill_directory", "/nonexistent/path/that/does/not/exist/spill-test-12345") + .build(); + long actual = Long.parseLong(DataFusionPlugin.deriveSpillLimitDefault(settings)); + assertEquals("Probe failure must fall back to 8 GiB", 8L * 1024 * 1024 * 1024, actual); + } + + public void testValidateSpillLimitAcceptsValueAtOrBelowDiskCapacity() throws Exception { + Path spillDir = createTempDir(); + long total = Environment.getFileStore(spillDir).getTotalSpace(); + Settings settings = Settings.builder() + .put("datafusion.spill_directory", spillDir.toString()) + .put("datafusion.spill_memory_limit_bytes", total / 2) + .build(); + // get() runs the parser AND the validator; no throw = pass. + long parsed = DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings); + assertEquals(total / 2, parsed); + } + + public void testValidateSpillLimitRejectsValueExceedingDiskCapacity() throws Exception { + Path spillDir = createTempDir(); + long total = Environment.getFileStore(spillDir).getTotalSpace(); + Settings settings = Settings.builder() + .put("datafusion.spill_directory", spillDir.toString()) + .put("datafusion.spill_memory_limit_bytes", total + 1) + .build(); + IllegalArgumentException e = expectThrows( + IllegalArgumentException.class, + () -> DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings) + ); + assertTrue( + "expected message to mention exceeding capacity, got: " + e.getMessage(), + e.getMessage().contains("exceeds spill volume capacity") + ); + } + + public void testValidateSpillLimitRejectsNonZeroWhenSpillDirUnset() { + Settings settings = Settings.builder() + .put("datafusion.spill_directory", "") + .put("datafusion.spill_memory_limit_bytes", 1024L * 1024 * 1024) + .build(); + IllegalArgumentException e = expectThrows( + IllegalArgumentException.class, + () -> DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings) + ); + assertTrue( + "expected message to mention spill_directory unset, got: " + e.getMessage(), + e.getMessage().contains("datafusion.spill_directory is unset") + ); + } + + public void testValidateSpillLimitAcceptsZeroWhenSpillDirUnset() { + Settings settings = Settings.builder().put("datafusion.spill_directory", "").put("datafusion.spill_memory_limit_bytes", 0L).build(); + long parsed = DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings); + assertEquals("Zero with spill disabled is valid", 0L, parsed); + } + + public void testValidateSpillLimitSkipsCapacityCheckWhenProbeFails() { + // When the spill directory cannot be probed (e.g. a path that doesn't exist), + // the validator must fail open: skip the capacity check rather than block the + // operator. Same fail-open behavior as deriveSpillLimitDefault uses for its 8 GiB fallback. + Settings settings = Settings.builder() + .put("datafusion.spill_directory", "/nonexistent/path/that/does/not/exist/spill-test-12345") + .put("datafusion.spill_memory_limit_bytes", 1024L * 1024 * 1024 * 1024) // 1 TiB + .build(); + // Even though 1 TiB would likely exceed any real disk, the probe fails so the check is skipped. + long parsed = DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings); + assertEquals("probe failure must skip the volume-capacity check", 1024L * 1024 * 1024 * 1024, parsed); + } + + // ── datafusion.memory_guard.spill_exempt_cap_bytes ── + + public void testSpillExemptCapIsRegistered() { + try (DataFusionPlugin plugin = new DataFusionPlugin()) { + List> settings = plugin.getSettings(); + assertTrue( + "Plugin must register DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP via getSettings()", + settings.contains(DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP) + ); + } catch (Exception e) { + throw new AssertionError(e); + } + } + + public void testSpillExemptCapIsDynamicAndNodeScope() { + assertTrue( + "datafusion.memory_guard.spill_exempt_cap_bytes must be dynamic so it can be tuned at runtime", + DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.isDynamic() + ); + assertTrue( + "datafusion.memory_guard.spill_exempt_cap_bytes must have node scope", + DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.hasNodeScope() + ); + } + + public void testSpillExemptCapDefaultIs512MiB() { + assertEquals( + "Default spill-exempt cap must be 512 MiB in raw bytes", + 536870912L, + DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.get(Settings.EMPTY).longValue() + ); + } + + public void testSpillExemptCapRejectsNegative() { + Settings s = Settings.builder().put("datafusion.memory_guard.spill_exempt_cap_bytes", -1L).build(); + IllegalArgumentException e = expectThrows( + IllegalArgumentException.class, + () -> DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.get(s) + ); + assertTrue(e.getMessage().contains("must be >= 0")); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java index b452b6b3e50fc..05a00ffa3c640 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java @@ -69,8 +69,9 @@ public void testMaxCollectorParallelismSettingDefinition() { } public void testAllSettingsContainsAllExpectedSettings() { - assertEquals(31, DatafusionSettings.ALL_SETTINGS.size()); + assertEquals(32, DatafusionSettings.ALL_SETTINGS.size()); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_REDUCE_TARGET_PARTITIONS)); + assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_SPILL_DIRECTORY)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_BATCH_SIZE)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS)); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java index d0be72d44f126..f32fb1fa63a9b 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java @@ -8,6 +8,7 @@ package org.opensearch.composite; +import org.apache.lucene.tests.util.LuceneTestCase.AwaitsFix; import org.opensearch.action.admin.cluster.snapshots.create.CreateSnapshotResponse; import org.opensearch.action.admin.cluster.snapshots.restore.RestoreSnapshotResponse; import org.opensearch.action.admin.indices.delete.DeleteIndexRequest; @@ -43,6 +44,7 @@ * Together these guarantee: hot DFA + non-DFA flow normally through V2 snapshots; warm DFA never * appears in any snapshot. */ +@AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/pull/22011") public class DataFormatAwareDFASnapshotBlockingIT extends DataFormatAwareReadonlyEngineBaseIT { private static final String V2_REPO = "v2-block-test-repo"; diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java index 4a0a64a296105..19c0053db9d63 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java @@ -8,6 +8,7 @@ package org.opensearch.composite; +import org.apache.lucene.tests.util.LuceneTestCase.AwaitsFix; import org.opensearch.action.get.GetResponse; import org.opensearch.index.engine.DataFormatAwareReadOnlyEngine; import org.opensearch.index.engine.exec.Indexer; @@ -18,6 +19,7 @@ * End-to-end get-by-id coverage for {@link DataFormatAwareReadOnlyEngine}: after an index is tiered to * warm, a document is still resolvable by id via the read-only row path (the warm engine has no version map). */ +@AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/pull/21803") public class DataFormatAwareReadonlyGetByIdIT extends DataFormatAwareReadonlyEngineBaseIT { public void testGetByIdFromWarmReadOnlyEngine() throws Exception { From c21d2a3d4d655f0152b95918cda0e8ade1d18156 Mon Sep 17 00:00:00 2001 From: expani1729 <110471048+expani@users.noreply.github.com> Date: Mon, 22 Jun 2026 12:13:25 -0700 Subject: [PATCH 24/94] [FIX] Detect delegation using Bottom-most filter over scan for Single Shard (#22266) * Detecting bottom most Filter in the plan for delegation to derive DelegationType Signed-off-by: Aniketh Jain * Spotless Signed-off-by: Aniketh Jain --------- Signed-off-by: Aniketh Jain --- .../analytics/planner/RelNodeUtils.java | 19 +++++ .../planner/dag/FragmentConversionDriver.java | 6 +- .../dag/FragmentConversionDriverTests.java | 76 +++++++++++++++++++ 3 files changed, 100 insertions(+), 1 deletion(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java index f9537ae72c047..58f593bed8657 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java @@ -36,6 +36,7 @@ import org.opensearch.analytics.planner.rel.OpenSearchValues; import org.opensearch.analytics.spi.FieldStorageInfo; +import java.util.ArrayList; import java.util.HashSet; import java.util.LinkedHashSet; import java.util.List; @@ -165,6 +166,24 @@ public static T findNode(RelNode node, Class type) { return null; } + /** + * Finds all nodes of the given type reachable from {@code node} (walks the full tree, all inputs). + * Unlike {@link #findNode} (which returns only the topmost match via the first-input chain), this + * sees every match — e.g. a WHERE filter below an Aggregate AND a HAVING filter above it, which + * do not merge (FILTER_MERGE does not cross the Aggregate). Order is pre-order (topmost first). + */ + @SuppressWarnings("unchecked") + public static List findAllNodes(RelNode node, Class type) { + List out = new ArrayList<>(); + if (type.isInstance(node)) { + out.add((T) node); + } + for (RelNode input : node.getInputs()) { + out.addAll(findAllNodes(input, type)); + } + return out; + } + /** * Qualified name of the first {@link OpenSearchTableScan} reachable from {@code node}, * searching all inputs. Returns {@code null} if none is present. diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/dag/FragmentConversionDriver.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/dag/FragmentConversionDriver.java index bf9464a8463b4..80f6e814af173 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/dag/FragmentConversionDriver.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/dag/FragmentConversionDriver.java @@ -113,7 +113,11 @@ private static void convertStage(Stage stage, CapabilityRegistry registry) { // Derive filter tree shape BEFORE stripping (annotations must be intact). The deriver // mirrors the combiner's post-combine shape so the data node's classification matches // the tree it actually receives. - OpenSearchFilter filter = RelNodeUtils.findNode(plan.resolvedFragment(), OpenSearchFilter.class); + // Pushdown+merge rules leave delegated annotations only in the bottommost (WHERE) filter; + // a HAVING stays in a separate un-delegated filter above the Aggregate. Pick the WHERE, + // not findNode's topmost (HAVING → NO_DELEGATION → collector skipped → over-count). + List filters = RelNodeUtils.findAllNodes(plan.resolvedFragment(), OpenSearchFilter.class); + OpenSearchFilter filter = filters.isEmpty() ? null : filters.getLast(); FilterTreeShape treeShape = filter != null ? FilterTreeShapeDeriver.derive(filter, plan.backendId()) : FilterTreeShape.NO_DELEGATION; diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/dag/FragmentConversionDriverTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/dag/FragmentConversionDriverTests.java index 736d9173c8288..345b9c101a751 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/dag/FragmentConversionDriverTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/dag/FragmentConversionDriverTests.java @@ -1279,6 +1279,82 @@ private FilterTreeShape treeShapeOf(StagePlan plan) { .orElseThrow()).getTreeShape(); } + // ---- HAVING regression: delegated WHERE under an Aggregate with a HAVING filter above ---- + + /** + * HAVING produces two stacked filters that don't merge across the Aggregate: a native HAVING + * (count=1) above and the delegated WHERE (match_phrase) below. The derived FilterTreeShape + * (which the data node reads as its classification) must reflect the WHERE's delegation + * (CONJUNCTIVE), not the topmost HAVING (NO_DELEGATION). Regression: picking the topmost filter + * yielded NO_DELEGATION → data node skipped the Lucene collector → full scan / over-count. + */ + public void testHavingFilterAboveDelegatedWhere_derivesConjunctive() { + StagePlan plan = runHaving(matchPhrase("hello")); + assertEquals("delegated WHERE under HAVING must still ship one expression", 1, plan.delegatedExpressions().size()); + assertEquals( + "treeShape must come from the WHERE (CONJUNCTIVE), not the HAVING (NO_DELEGATION)", + FilterTreeShape.CONJUNCTIVE, + treeShapeOf(plan) + ); + } + + /** Builds Filter(count=1)[HAVING] over Aggregate(group=message, count(*)) over Filter(where)[scan]. */ + private StagePlan runHaving(RexNode whereCondition) { + RecordingConvertor dfConvertor = new RecordingConvertor(); + RecordingSerializer serializer = new RecordingSerializer(); + MockDataFusionBackend df = new MockDataFusionBackend() { + @Override + protected Set supportedDelegations() { + return Set.of(DelegationType.FILTER); + } + + @Override + public FragmentConvertor getFragmentConvertor() { + return dfConvertor; + } + }; + MockLuceneBackend lucene = new MockLuceneBackend() { + @Override + protected Set acceptedDelegations() { + return Set.of(DelegationType.FILTER); + } + + @Override + public Map delegatedPredicateSerializers() { + Map map = new HashMap<>(super.delegatedPredicateSerializers()); + map.put(ScalarFunction.MATCH_PHRASE, serializer); + return map; + } + }; + List backends = List.of(df, lucene); + Map> fields = Map.of( + "message", + Map.of("type", "keyword", "index", true), + "amount", + Map.of("type", "integer", "index", false), + "count", + Map.of("type", "integer", "index", false) + ); + // Single shard: no exchange split, so HAVING + Aggregate + WHERE stay in ONE fragment — the + // shape the bug needs (multi-shard forks HAVING into a separate reduce stage, hiding it). + PlannerContext context = buildContext("parquet", 1, fields, backends); + RelNode scan = stubScan( + mockTable( + "test_index", + new String[] { "message", "amount", "count" }, + new SqlTypeName[] { SqlTypeName.VARCHAR, SqlTypeName.INTEGER, SqlTypeName.INTEGER } + ) + ); + LogicalFilter where = LogicalFilter.create(scan, whereCondition); + LogicalAggregate aggregate = makeAggregate(where, ImmutableBitSet.of(0), countStarCall(where)); + LogicalFilter having = LogicalFilter.create(aggregate, makeEquals(1, SqlTypeName.BIGINT, 1)); + RelNode cboOutput = runPlanner(having, context); + QueryDAG dag = DAGBuilder.build(cboOutput, context.getCapabilityRegistry(), mockClusterService(), TEST_RESOLVER); + PlanForker.forkAll(dag, context.getCapabilityRegistry()); + FragmentConversionDriver.convertAll(dag, context.getCapabilityRegistry()); + return leafStage(dag).getPlanAlternatives().getFirst(); + } + // ---- Combining tests (OR/NOT/mixed) ---- /** match_phrase AND fuzzy OR amount=200 → OR(AND(lucene,lucene), native) — combined, INTERLEAVED. */ From 30e744b732b329598dd2e8cbd1bed368dbe1716e Mon Sep 17 00:00:00 2001 From: gaurav-amz Date: Tue, 23 Jun 2026 03:05:29 +0530 Subject: [PATCH 25/94] Fix analytics engine error handling: circuit breaker 429 + spill-limit startup validation (#22275) * Surface circuit breaker as HTTP 429 when it self-cancels the query A memory-gate trip (CircuitBreakingException) on the reduce stage fails the stage and then cancels the parent task via the child cancel sweep (ReduceStageExecution FAILED -> child.cancel -> parentTask.cancel). By the time QueryExecution.terminalCause reports, the parent task is already cancelled, so the original isCancelled()-first ordering returned a synthetic TaskCancelledException (HTTP 500) and discarded the real breaker (HTTP 429). terminalCause now peeks at the captured root failure inside the cancelled branch: if a CircuitBreakingException is in its cause chain, it is surfaced unwrapped so status() yields 429. Genuine top-down cancels record no stage failure (getFailure() == null), so they are unchanged. The non-cancel path is byte-for-byte the original. Uses ExceptionsHelper.unwrap (cause-only, no suppressed) to avoid a multi-shard suppressed-sibling false positive. Adds QueryExecutionTests coverage: bare breaker masquerading as a cancel, nested breaker under a cancel, genuine cancel stays 500, and non-breaker failure under a cancel stays 500. Signed-off-by: snghsvn * Don't reject a non-zero spill limit when spill is disabled When datafusion.spill_directory is unset, spill is disabled and datafusion.spill_memory_limit_bytes has no effect. The validator previously threw IllegalArgumentException for any non-zero limit in that state, which aborted node startup (StartupException) on nodes configured with a spill cap but no spill volume. SpillLimitValidator now returns early when the directory is empty, accepting any value as an inert no-op. The volume-capacity check still applies when spill is enabled. Flips the corresponding unit test to assert acceptance. Signed-off-by: snghsvn --------- Signed-off-by: snghsvn --- .../be/datafusion/DataFusionPlugin.java | 12 +- .../DataFusionPluginSettingsTests.java | 14 +- .../analytics/exec/QueryExecution.java | 20 ++- .../analytics/exec/QueryExecutionTests.java | 133 ++++++++++++++++++ 4 files changed, 159 insertions(+), 20 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index 21a9b6b0539d5..07d03fee44339 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -112,7 +112,8 @@ public class DataFusionPlugin extends Plugin /** * Validates {@link #DATAFUSION_SPILL_MEMORY_LIMIT} against {@link #DATAFUSION_SPILL_DIRECTORY}: *
        - *
      • If spill is disabled (empty directory), only {@code 0} is accepted.
        • + *
      • If spill is disabled (empty directory), the limit is a no-op and any value is accepted — + * the capacity check has no volume to probe, so it is skipped.
        • *
      • If spill is enabled, the value must not exceed the spill volume's total capacity * (probed live via {@link FileStore#getTotalSpace()}).
        • *
      @@ -134,13 +135,8 @@ public void validate(Long value, Map, Object> dependencies) { dir = ""; } if (dir.isEmpty()) { - if (value != 0L) { - throw new IllegalArgumentException( - "Setting [datafusion.spill_memory_limit_bytes]=" - + value - + " is non-zero but datafusion.spill_directory is unset (spill disabled)" - ); - } + // Spill disabled: the limit has no effect and there is no volume to size it against, + // so accept any value rather than rejecting startup over an inert setting. return; } long total; diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index 61bacf9a710fb..cdcee73e97300 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -295,19 +295,15 @@ public void testValidateSpillLimitRejectsValueExceedingDiskCapacity() throws Exc ); } - public void testValidateSpillLimitRejectsNonZeroWhenSpillDirUnset() { + public void testValidateSpillLimitAcceptsNonZeroWhenSpillDirUnset() { + // Spill disabled (empty directory): a non-zero limit is inert, so it must be accepted rather + // than failing node startup. Mirrors a node configured with a spill cap but no spill volume. Settings settings = Settings.builder() .put("datafusion.spill_directory", "") .put("datafusion.spill_memory_limit_bytes", 1024L * 1024 * 1024) .build(); - IllegalArgumentException e = expectThrows( - IllegalArgumentException.class, - () -> DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings) - ); - assertTrue( - "expected message to mention spill_directory unset, got: " + e.getMessage(), - e.getMessage().contains("datafusion.spill_directory is unset") - ); + long parsed = DataFusionPlugin.DATAFUSION_SPILL_MEMORY_LIMIT.get(settings); + assertEquals("non-zero limit with spill disabled must be accepted as a no-op", 1024L * 1024 * 1024, parsed); } public void testValidateSpillLimitAcceptsZeroWhenSpillDirUnset() { diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java index 279abf81ea705..dc3aaaa86f49c 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java @@ -13,10 +13,12 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; import org.apache.logging.log4j.message.ParameterizedMessage; +import org.opensearch.ExceptionsHelper; import org.opensearch.analytics.exec.stage.DataProducer; import org.opensearch.analytics.exec.stage.StageExecution; import org.opensearch.analytics.spi.ExchangeSink; import org.opensearch.core.action.ActionListener; +import org.opensearch.core.common.breaker.CircuitBreakingException; import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.tasks.CancellableTask; @@ -170,12 +172,24 @@ private void fireListener(State terminal) { } /** - * Live parent-task cancellation wins — keeps the user-facing message accurate over the - * downstream FAILED cause. Otherwise propagate the captured stage failure (synthetic - * fallback for CANCELLED with no upstream cause). + * Determines the exception to report for a non-SUCCEEDED terminal. + * + *

      Live parent-task cancellation still wins — the user-facing "query cancelled" message stays + * accurate for genuine top-down cancels. The one exception is a breaker masquerading as a cancel: + * a memory-gate trip ({@link CircuitBreakingException}) fails the (reduce) stage and then cancels + * the parent task via the sibling/child cancel sweep, so {@code isCancelled()} is already true by + * the time we report. Returning {@link TaskCancelledException} there would mask the real cause as + * HTTP 500; instead we peek at the captured root failure and, if a breaker is hiding in its cause + * chain, surface it unwrapped so {@code status()} yields 429. A genuine cancel records no stage + * failure ({@code getFailure()} is {@code null}), so the peek finds nothing and behavior is + * unchanged. The non-cancel path is byte-for-byte the original: captured failure, else synthetic. */ private Exception terminalCause(State terminal) { if (config.parentTask() instanceof CancellableTask ct && ct.isCancelled()) { + Throwable breaker = ExceptionsHelper.unwrap(graph.rootExecution().getFailure(), CircuitBreakingException.class); + if (breaker != null) { + return (CircuitBreakingException) breaker; + } return new TaskCancelledException("query cancelled"); } StageExecution rootExec = graph.rootExecution(); diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java index 28b6c9bd020d9..1ca6a73bbf2f4 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java @@ -9,6 +9,7 @@ package org.opensearch.analytics.exec; import org.apache.arrow.vector.VectorSchemaRoot; +import org.opensearch.OpenSearchException; import org.opensearch.analytics.backend.ExchangeSource; import org.opensearch.analytics.exec.stage.DataProducer; import org.opensearch.analytics.exec.stage.StageExecution; @@ -21,12 +22,17 @@ import org.opensearch.analytics.planner.dag.StageExecutionType; import org.opensearch.analytics.spi.ExchangeSink; import org.opensearch.core.action.ActionListener; +import org.opensearch.core.common.breaker.CircuitBreaker; +import org.opensearch.core.common.breaker.CircuitBreakingException; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.core.tasks.TaskId; import org.opensearch.test.OpenSearchTestCase; import java.util.ArrayList; import java.util.Collections; import java.util.List; +import java.util.concurrent.CompletionException; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicReference; @@ -184,6 +190,118 @@ public void testFailedTransitionStillFiresOriginalFailureWhenTerminalSinkCloseTh assertSame("original stage failure must reach the listener even when terminal sink close throws", rootCause, onFailure.get()); } + public void testBareBreakerMasqueradingAsCancelSurfacesAs429() { + // The exact shape reproduced live on 91-d: the breaker is the root stage's captured failure + // (DatafusionReduceSink.reduce → onTaskTerminal → captureFailure), and the same trip then + // cancels the parent task via the child cancel sweep so isCancelled() is already true. + // terminalCause must surface the breaker (HTTP 429), not mask it as TaskCancelledException (500). + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("circuit breaker sweep cancelled the parent task"); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + + CircuitBreakingException breaker = new CircuitBreakingException( + "[analytics_backend_datafusion] Failed to allocate 64 bytes (limit: 7101482993)", + 64, + 7101482993L, + CircuitBreaker.Durability.TRANSIENT + ); + root.failWith(breaker); + + Exception surfaced = onFailure.get(); + assertSame("breaker must be surfaced, not masked by the self-cancel", breaker, surfaced); + assertEquals("breaker maps to HTTP 429", RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + } + + public void testWrappedBreakerUnderCancelStillUnwrapsTo429() { + // Defends the cause-walk: even if the breaker arrives nested (e.g. a CompletionException from + // an async→sync future.join() bridge) under a cancelled parent task, it must still be unwrapped. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("circuit breaker sweep cancelled the parent task"); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + + CircuitBreakingException breaker = new CircuitBreakingException( + "[analytics_backend_datafusion] Failed to allocate 327680 bytes (limit: 4194304)", + 327680, + 4194304, + CircuitBreaker.Durability.TRANSIENT + ); + root.failWith(new CompletionException(breaker)); + + Exception surfaced = onFailure.get(); + assertSame("nested breaker must be unwrapped, not masked by cancellation", breaker, surfaced); + assertEquals("breaker maps to HTTP 429", RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + } + + public void testBareBreakerFailureSurfacesAs429() { + // A breaker captured directly as the root failure (parent task NOT cancelled) is surfaced as-is + // via the unchanged non-cancel path. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set)); + + CircuitBreakingException breaker = new CircuitBreakingException("Failed to allocate", CircuitBreaker.Durability.TRANSIENT); + root.failWith(breaker); + + Exception surfaced = onFailure.get(); + assertSame(breaker, surfaced); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + } + + public void testGenuineCancelWithNoStageFailureStaysTaskCancelled() { + // No stage recorded a failure (getFailure()==null) and the parent task is cancelled: this is a + // real top-down cancel and must remain a TaskCancelledException (HTTP 500) — proving the fix + // does not turn genuine cancellations into 429. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("user aborted the request"); + + AtomicReference onFailure = new AtomicReference<>(); + QueryExecution qe = newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + qe.cancelAll("user aborted the request"); + + Exception surfaced = onFailure.get(); + assertTrue("genuine cancel must stay TaskCancelledException", surfaced instanceof TaskCancelledException); + assertEquals("cancellation maps to HTTP 500", RestStatus.INTERNAL_SERVER_ERROR, ((OpenSearchException) surfaced).status()); + } + + public void testNonBreakerFailureWithCancelledParentStaysTaskCancelled() { + // A non-breaker stage failure that also cancelled the parent task keeps the original cancel-first + // behavior: the peek finds no breaker, so we report TaskCancelledException (HTTP 500). Option B + // only diverts the breaker case; every other cancelled path is unchanged. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("sibling sweep cancelled the parent task"); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + + root.failWith(new RuntimeException("non-memory stage failure")); + + Exception surfaced = onFailure.get(); + assertTrue("non-breaker failure under a cancel stays TaskCancelledException", surfaced instanceof TaskCancelledException); + } + // ── helpers ───────────────────────────────────────────────────────── private QueryExecution newQueryExecution(Stage rootStage, ActionListener> listener) { @@ -192,6 +310,21 @@ private QueryExecution newQueryExecution(Stage rootStage, ActionListener> listener, + AnalyticsQueryTask task + ) { + QueryDAG dag = new QueryDAG("q-test", rootStage); + QueryContext ctx = QueryContext.forTest(dag, task); + ExecutionGraph graph = ExecutionGraph.build(ctx, builder, StageExecution::start); + return new QueryExecution(ctx, graph, StageExecution::start, listener); + } + + private static AnalyticsQueryTask newTask() { + return new AnalyticsQueryTask(1L, "transport", "analytics_query", "q-test", TaskId.EMPTY_TASK_ID, java.util.Map.of(), null); + } + private static Stage stageWithId(int id) { Stage stage = mock(Stage.class); when(stage.getStageId()).thenReturn(id); From 20784d2c84018a00387aace029978dcf310c38aa Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Tue, 23 Jun 2026 08:06:57 +0530 Subject: [PATCH 26/94] [DFAE] Acknowledge all docs present during composite-engine primary relocation (#22279) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan --- .../index/engine/DataFormatAwareEngine.java | 23 +++++++++++++++---- .../engine/DataFormatAwareEngineTests.java | 22 +++++++++++------- 2 files changed, 32 insertions(+), 13 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index 1942f4f01a2d7..54c8699356231 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -86,6 +86,7 @@ import org.opensearch.index.seqno.SeqNoStats; import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.index.shard.DocsStats; +import org.opensearch.index.shard.RemoteStoreRefreshListener; import org.opensearch.index.store.Store; import org.opensearch.index.translog.DefaultTranslogDeletionPolicy; import org.opensearch.index.translog.InternalTranslogManager; @@ -946,6 +947,9 @@ public void refresh(String source) throws EngineException { ensureOpen(); ensureNoTragicException(); refreshLock.lock(); + + // refresh only if new segments have been created or force param is true + notifyRefreshListenersBefore(); try (GatedCloseable catalogSnapshot = catalogSnapshotManager.acquireSnapshot()) { if (store.tryIncRef()) { try { @@ -1059,8 +1063,6 @@ public void refresh(String source) throws EngineException { .noneMatch(ns -> existingSegments.stream().anyMatch(es -> es.generation() == ns.generation())) : "new segment generation collides with an existing segment generation"; - // refresh only if new segments have been created or force param is true - notifyRefreshListenersBefore(); if (refreshed) { final long engineRefreshStartNanos = System.nanoTime(); long nextGen = newSegments.size() > 1 ? writerGenerationCounter.incrementAndGet() : RefreshInput.NO_GENERATION; @@ -1095,7 +1097,6 @@ public void refresh(String source) throws EngineException { } else if ("flush".equals(source)) { catalogSnapshotManager.bumpGeneration(); } - notifyRefreshListenersAfter(refreshed); } finally { store.decRef(); } @@ -1106,6 +1107,7 @@ public void refresh(String source) throws EngineException { } } } finally { + notifyRefreshListenersAfter(refreshed); versionMap.afterRefresh(refreshed); IOUtils.close(toClose); refreshLock.unlock(); @@ -2107,9 +2109,20 @@ private void applyMergeChanges(MergeResult mergeResult, OneMerge oneMerge) { refreshLock.lock(); } try (GatedCloseable oldSnapshotRef = catalogSnapshotManager.acquireSnapshot()) { - notifyRefreshListenersBefore(); + // A merge only swaps segments in the catalog; it does not advance the checkpoint, so + // checkpoint-publishing listeners must not be notified. We invoke only the + // RemoteStoreRefreshListener so the merged segments get uploaded to the remote store. + for (ReferenceManager.RefreshListener refreshListener : refreshListeners) { + if (refreshListener instanceof RemoteStoreRefreshListener) { + refreshListener.beforeRefresh(); + } + } catalogSnapshotManager.applyMergeResults(mergeResult, oneMerge); - notifyRefreshListenersAfter(true); + for (ReferenceManager.RefreshListener refreshListener : refreshListeners) { + if (refreshListener instanceof RemoteStoreRefreshListener) { + refreshListener.afterRefresh(true); + } + } } catch (Exception ex) { try { logger.error(() -> new ParameterizedMessage("Merge failed while registering merged files in Snapshot"), ex); diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index c6b9f73c6ac54..b1d474217be91 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -2160,8 +2160,9 @@ public void testUnreferencedFileCleanUpsPerformed() throws IOException { /** * Covers {@code DataFormatAwareEngine.applyMergeChanges}: a forceMerge over two * previously-refreshed segments must (1) replace the source segments in the catalog - * with a single merged segment, (2) invoke beforeRefresh/afterRefresh exactly once - * each on registered refresh listeners while holding the refresh lock, and + * with a single merged segment, (2) restrict its beforeRefresh/afterRefresh + * notifications to {@code RemoteStoreRefreshListener} instances only, so a plain + * refresh listener that fires on real refreshes is NOT invoked by the merge, and * (3) release the refresh lock on exit so a subsequent {@code refresh()} proceeds. * *

      The system-property gate on {@code MERGE_ENABLED_PROPERTY} applies only to @@ -2169,7 +2170,7 @@ public void testUnreferencedFileCleanUpsPerformed() throws IOException { * straight to {@code MergeScheduler.forceMerge} and does not consult it, so this * test drives the merge end-to-end without touching system properties. */ - public void testApplyMergeChangesUpdatesCatalogAndNotifiesListeners() throws Exception { + public void testApplyMergeChangesUpdatesCatalogAndSkipsNonRemoteStoreListeners() throws Exception { AtomicInteger beforeCalls = new AtomicInteger(); AtomicInteger afterCalls = new AtomicInteger(); // Records call order: 'B' for beforeRefresh, 'A' for afterRefresh. @@ -2233,12 +2234,17 @@ public void afterRefresh(boolean didRefresh) { } }, 10, java.util.concurrent.TimeUnit.SECONDS); - // applyMergeChanges must have invoked the listeners exactly once each, in order. - assertThat("beforeRefresh must fire exactly once for the merge", beforeCalls.get() - beforeAfterSeed, equalTo(1)); - assertThat("afterRefresh must fire exactly once for the merge", afterCalls.get() - afterAfterSeed, equalTo(1)); + // applyMergeChanges must notify only RemoteStoreRefreshListener instances. The plain + // listener registered here is not one, so the merge must NOT invoke it. + assertThat( + "merge must not invoke beforeRefresh on a non-remote-store listener", + beforeCalls.get() - beforeAfterSeed, + equalTo(0) + ); + assertThat("merge must not invoke afterRefresh on a non-remote-store listener", afterCalls.get() - afterAfterSeed, equalTo(0)); synchronized (callOrder) { - // Seed cycles contribute "BABA"; the merge must append exactly "BA". - assertThat("call order must be before-then-after for every cycle", callOrder.toString(), equalTo("BABABA")); + // Seed cycles contribute "BABA"; the merge must append nothing for this listener. + assertThat("merge must not append before/after for a non-remote-store listener", callOrder.toString(), equalTo("BABA")); } // Sanity: the refreshLock must have been released. A follow-up refresh must From 6b676cdda3894faa262e5a9392b3581c6912ee2b Mon Sep 17 00:00:00 2001 From: Xi Lu Date: Mon, 22 Jun 2026 20:05:16 -0700 Subject: [PATCH 27/94] [gRPC] Handle null FieldValue and aggregation missing values (#22278) --- .../TermsAggregationBuilderConverter.java | 2 +- .../metrics/MaxAggregationProtoUtils.java | 2 +- .../metrics/MinAggregationProtoUtils.java | 2 +- .../response/common/FieldValueProtoUtils.java | 6 ++-- ...TermsAggregationBuilderConverterTests.java | 11 ++++++++ .../MaxAggregationProtoUtilsTests.java | 11 ++++++++ .../MinAggregationProtoUtilsTests.java | 11 ++++++++ .../common/FieldValueProtoUtilsTests.java | 9 ++++++ .../search/SearchHitProtoUtilsTests.java | 28 +++++++++++++++++++ 9 files changed, 75 insertions(+), 7 deletions(-) diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverter.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverter.java index d23d1a460dc33..d80ee665ee4b1 100644 --- a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverter.java +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverter.java @@ -78,7 +78,7 @@ public AggregationBuilder fromProto(String name, AggregationContainer container) // common fields for ValuesSourceAggregation ValuesSourceProtoFields valuesSourceFields = ValuesSourceProtoFields.builder() .field(terms.hasField() ? terms.getField() : null) - .missing(terms.hasMissing() ? FieldValueProtoUtils.fromProto(terms.getMissing()) : null) + .missing(terms.hasMissing() ? FieldValueProtoUtils.fromProto(terms.getMissing(), false) : null) .valueType(terms.hasValueType() ? terms.getValueType() : null) .format(terms.hasFormat() ? terms.getFormat() : null) .script(terms.hasScript() ? ScriptProtoUtils.parseFromProtoRequest(terms.getScript()) : null) diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtils.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtils.java index f2d18ca75d121..265f427d963f5 100644 --- a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtils.java +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtils.java @@ -43,7 +43,7 @@ public static MaxAggregationBuilder fromProto(String name, MaxAggregation maxAgg ValuesSourceProtoFields fields = ValuesSourceProtoFields.builder() .field(maxAggProto.hasField() ? maxAggProto.getField() : null) - .missing(maxAggProto.hasMissing() ? FieldValueProtoUtils.fromProto(maxAggProto.getMissing()) : null) + .missing(maxAggProto.hasMissing() ? FieldValueProtoUtils.fromProto(maxAggProto.getMissing(), false) : null) .valueType(maxAggProto.hasValueType() ? maxAggProto.getValueType() : null) .format(maxAggProto.hasFormat() ? maxAggProto.getFormat() : null) .script(maxAggProto.hasScript() ? ScriptProtoUtils.parseFromProtoRequest(maxAggProto.getScript()) : null) diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtils.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtils.java index 0ad7afe39e5d0..58732f6a79fe0 100644 --- a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtils.java +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtils.java @@ -43,7 +43,7 @@ public static MinAggregationBuilder fromProto(String name, MinAggregation minAgg ValuesSourceProtoFields fields = ValuesSourceProtoFields.builder() .field(minAggProto.hasField() ? minAggProto.getField() : null) - .missing(minAggProto.hasMissing() ? FieldValueProtoUtils.fromProto(minAggProto.getMissing()) : null) + .missing(minAggProto.hasMissing() ? FieldValueProtoUtils.fromProto(minAggProto.getMissing(), false) : null) .valueType(minAggProto.hasValueType() ? minAggProto.getValueType() : null) .format(minAggProto.hasFormat() ? minAggProto.getFormat() : null) .script(minAggProto.hasScript() ? ScriptProtoUtils.parseFromProtoRequest(minAggProto.getScript()) : null) diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtils.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtils.java index a8fe5fcc98a56..5b1a2e20ef89d 100644 --- a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtils.java +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtils.java @@ -9,6 +9,7 @@ import org.opensearch.common.Numbers; import org.opensearch.protobufs.FieldValue; +import org.opensearch.protobufs.NullValue; import java.math.BigInteger; @@ -51,11 +52,8 @@ public static FieldValue toProto(Object javaObject) { * @throws IllegalArgumentException if the Java object type cannot be converted */ public static void toProto(Object javaObject, FieldValue.Builder fieldValueBuilder) { - if (javaObject == null) { - throw new IllegalArgumentException("Cannot convert null to FieldValue"); - } - switch (javaObject) { + case null -> fieldValueBuilder.setNullValue(NullValue.NULL_VALUE_NULL); case String s -> fieldValueBuilder.setString(s); case Integer i -> { org.opensearch.protobufs.GeneralNumber.Builder num = org.opensearch.protobufs.GeneralNumber.newBuilder(); diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverterTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverterTests.java index 76ab38967203c..95ee87ccf2fc9 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverterTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/bucket/terms/TermsAggregationBuilderConverterTests.java @@ -8,6 +8,7 @@ package org.opensearch.transport.grpc.proto.request.search.aggregation.bucket.terms; import org.opensearch.protobufs.AggregationContainer; +import org.opensearch.protobufs.FieldValue; import org.opensearch.protobufs.InlineScript; import org.opensearch.protobufs.Script; import org.opensearch.protobufs.SortOrder; @@ -95,6 +96,16 @@ public void testAllFieldsCombined() { assertNotNull(t.includeExclude()); } + public void testStringMissingValue() { + AggregationContainer container = buildContainer( + TermsAggregationFields.newBuilder().setField("status").setMissing(FieldValue.newBuilder().setString("unknown").build()).build() + ); + + TermsAggregationBuilder builder = (TermsAggregationBuilder) converter.fromProto("by_status", container); + + assertEquals("unknown", builder.missing()); + } + public void testOrderVariants() { // _count desc TermsAggregationBuilder countDesc = (TermsAggregationBuilder) converter.fromProto( diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtilsTests.java index 8c00a7f93dab8..47328f411c54a 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtilsTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MaxAggregationProtoUtilsTests.java @@ -46,6 +46,17 @@ public void testFromProtoWithMissingValue() { assertEquals(0.0, result.missing()); } + public void testFromProtoWithStringMissingValue() { + MaxAggregation proto = MaxAggregation.newBuilder() + .setField("status") + .setMissing(FieldValue.newBuilder().setString("unknown").build()) + .build(); + + MaxAggregationBuilder result = MaxAggregationProtoUtils.fromProto("max_status", proto); + + assertEquals("unknown", result.missing()); + } + public void testFromProtoWithoutFieldOrScript() { MaxAggregation proto = MaxAggregation.newBuilder().build(); diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtilsTests.java index fbfc93cd733f2..465a706668900 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtilsTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/search/aggregation/metrics/MinAggregationProtoUtilsTests.java @@ -46,6 +46,17 @@ public void testFromProtoWithMissingValue() { assertEquals(0.0, result.missing()); } + public void testFromProtoWithStringMissingValue() { + MinAggregation proto = MinAggregation.newBuilder() + .setField("status") + .setMissing(FieldValue.newBuilder().setString("unknown").build()) + .build(); + + MinAggregationBuilder result = MinAggregationProtoUtils.fromProto("min_status", proto); + + assertEquals("unknown", result.missing()); + } + public void testFromProtoWithoutFieldOrScript() { MinAggregation proto = MinAggregation.newBuilder().build(); diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtilsTests.java index 2cd39c8624f09..227101d6ad949 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtilsTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/common/FieldValueProtoUtilsTests.java @@ -9,6 +9,7 @@ package org.opensearch.transport.grpc.proto.response.common; import org.opensearch.protobufs.FieldValue; +import org.opensearch.protobufs.NullValue; import org.opensearch.test.OpenSearchTestCase; import java.math.BigInteger; @@ -17,6 +18,14 @@ public class FieldValueProtoUtilsTests extends OpenSearchTestCase { + public void testToProtoWithNull() { + FieldValue fieldValue = FieldValueProtoUtils.toProto(null); + + assertNotNull("FieldValue should not be null", fieldValue); + assertTrue("FieldValue should have null value", fieldValue.hasNullValue()); + assertEquals("Null value should match proto enum", NullValue.NULL_VALUE_NULL, fieldValue.getNullValue()); + } + public void testToProtoWithInteger() { Integer intValue = 42; FieldValue fieldValue = FieldValueProtoUtils.toProto(intValue); diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/search/SearchHitProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/search/SearchHitProtoUtilsTests.java index 89aa185172c0d..4b5c223f4bd0d 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/search/SearchHitProtoUtilsTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/response/search/SearchHitProtoUtilsTests.java @@ -17,6 +17,8 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.protobufs.HitsMetadataHitsInner; +import org.opensearch.protobufs.NullValue; +import org.opensearch.search.DocValueFormat; import org.opensearch.search.SearchHit; import org.opensearch.search.SearchHits; import org.opensearch.search.SearchShardTarget; @@ -139,6 +141,32 @@ public void testToProtoWithNullFields() throws IOException { assertFalse("Source should not be set", hit.hasXSource()); } + public void testToProtoWithNullSortValue() throws IOException { + SearchHit searchHit = new SearchHit(1); + searchHit.sortValues(new Object[] { "first", null }, new DocValueFormat[] { DocValueFormat.RAW, DocValueFormat.RAW }); + + HitsMetadataHitsInner hit = SearchHitProtoUtils.toProto(searchHit); + + assertNotNull("Hit should not be null", hit); + assertEquals("Should have 2 sort values", 2, hit.getSortCount()); + assertTrue("First sort value should be a string", hit.getSort(0).hasString()); + assertEquals("First sort value should match", "first", hit.getSort(0).getString()); + assertTrue("Second sort value should be null", hit.getSort(1).hasNullValue()); + assertEquals("Null sort value should match proto enum", NullValue.NULL_VALUE_NULL, hit.getSort(1).getNullValue()); + } + + public void testToProtoWithOnlyNullSortValue() throws IOException { + SearchHit searchHit = new SearchHit(1); + searchHit.sortValues(new Object[] { null }, new DocValueFormat[] { DocValueFormat.RAW }); + + HitsMetadataHitsInner hit = SearchHitProtoUtils.toProto(searchHit); + + assertNotNull("Hit should not be null", hit); + assertEquals("Should have 1 sort value", 1, hit.getSortCount()); + assertTrue("Sort value should be null", hit.getSort(0).hasNullValue()); + assertEquals("Null sort value should match proto enum", NullValue.NULL_VALUE_NULL, hit.getSort(0).getNullValue()); + } + public void testToProtoWithDocumentFields() throws IOException { // Create a SearchHit with document fields SearchHit searchHit = new SearchHit(1); From eee3f1d80e811abd5de11da31f4c0fa5f3e063c5 Mon Sep 17 00:00:00 2001 From: Bharathwaj G Date: Tue, 23 Jun 2026 09:29:07 +0530 Subject: [PATCH 28/94] core page index cache changes (#22254) * core page index cache changes Signed-off-by: G * addressing comments Signed-off-by: G * addressing comments Signed-off-by: G * cleaning up code , removing surviving RGs Signed-off-by: G * fixing policy wiring Signed-off-by: G * fix for sort + head query Signed-off-by: G * fixing perf by passing the object meta for get store ranges calls Signed-off-by: G * fixing settings and IT Signed-off-by: G * fixing test failures Signed-off-by: G --------- Signed-off-by: G --- .../rust/src/cache.rs | 183 --- .../src/{ => cache}/custom_cache_manager.rs | 322 +++- .../rust/src/{ => cache}/eviction_policy.rs | 128 +- .../rust/src/cache/metadata_cache.rs | 343 ++++ .../rust/src/cache/mod.rs | 37 + .../rust/src/cache/page_index/cache_keys.rs | 65 + .../rust/src/cache/page_index/cache_store.rs | 703 ++++++++ .../page_index/column_schema_resolver.rs | 114 ++ .../rust/src/cache/page_index/mod.rs | 198 +++ .../src/cache/page_index/page_index_io.rs | 1459 +++++++++++++++++ .../rust/src/{ => cache}/statistics_cache.rs | 91 +- .../rust/src/ffm.rs | 59 +- .../rust/src/indexed_executor.rs | 128 +- .../rust/src/indexed_table/parquet_bridge.rs | 90 +- .../rust/src/indexed_table/segment_info.rs | 6 +- .../rust/src/lib.rs | 11 +- .../rust/src/query_tracker.rs | 21 +- .../rust/src/scoped_index_optimizer.rs | 425 +++++ .../rust/src/scoped_page_index_reader.rs | 403 +++++ .../rust/src/session_context.rs | 34 + .../rust/src/stats.rs | 53 +- .../be/datafusion/DataFusionPlugin.java | 80 +- .../be/datafusion/DatafusionSettings.java | 7 +- .../stats/TransportClearCacheAction.java | 36 +- .../be/datafusion/cache/CacheSettings.java | 44 + .../be/datafusion/cache/CacheUtils.java | 33 +- .../be/datafusion/nativelib/NativeBridge.java | 24 +- .../DataFusionPluginSettingsTests.java | 2 +- .../be/datafusion/DataFusionServiceTests.java | 6 + .../DatafusionCacheManagerTests.java | 3 + .../datafusion/DatafusionSettingsTests.java | 2 +- .../analytics/qa/ScopedPageIndexCacheIT.java | 1345 +++++++++++++++ 32 files changed, 5981 insertions(+), 474 deletions(-) delete mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache.rs rename sandbox/plugins/analytics-backend-datafusion/rust/src/{ => cache}/custom_cache_manager.rs (59%) rename sandbox/plugins/analytics-backend-datafusion/rust/src/{ => cache}/eviction_policy.rs (68%) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_keys.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/column_schema_resolver.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs rename sandbox/plugins/analytics-backend-datafusion/rust/src/{ => cache}/statistics_cache.rs (91%) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ScopedPageIndexCacheIT.java diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache.rs deleted file mode 100644 index d5fb186acbc51..0000000000000 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache.rs +++ /dev/null @@ -1,183 +0,0 @@ -/* - * SPDX-License-Identifier: Apache-2.0 - * - * The OpenSearch Contributors require contributions made to - * this file be licensed under the Apache-2.0 license or a - * compatible open source license. - */ - -use std::sync::atomic::{AtomicUsize, Ordering}; -use std::sync::{Arc, Mutex}; - -use datafusion::execution::cache::cache_manager::{ - CachedFileMetadataEntry, FileMetadataCache, FileMetadataCacheEntry, -}; -use datafusion::execution::cache::DefaultFilesMetadataCache; -use datafusion::execution::cache::CacheAccessor; -use log::error; -use object_store::path::Path; - -// Cache type constants -pub const CACHE_TYPE_METADATA: &str = "METADATA"; -pub const CACHE_TYPE_STATS: &str = "STATISTICS"; - -// Helper function to log cache operations -fn log_cache_error(operation: &str, error: &str) { - error!("[CACHE ERROR] {} operation failed: {}", operation, error); -} - -// Wrapper to make Mutex implement FileMetadataCache -pub struct MutexFileMetadataCache { - pub inner: Mutex, - hit_count: AtomicUsize, - miss_count: AtomicUsize, -} - -impl MutexFileMetadataCache { - pub fn new(cache: DefaultFilesMetadataCache) -> Self { - Self { - inner: Mutex::new(cache), - hit_count: AtomicUsize::new(0), - miss_count: AtomicUsize::new(0), - } - } - - pub fn hit_count(&self) -> usize { - self.hit_count.load(Ordering::Relaxed) - } - - pub fn miss_count(&self) -> usize { - self.miss_count.load(Ordering::Relaxed) - } - - pub fn reset_stats(&self) { - self.hit_count.store(0, Ordering::Relaxed); - self.miss_count.store(0, Ordering::Relaxed); - } - - pub fn clear_cache(&self) { - if let Ok(cache) = self.inner.lock() { - cache.clear(); - } - } - - pub fn update_cache_limit(&self, new_limit: usize) { - if let Ok(cache) = self.inner.lock() { - cache.update_cache_limit(new_limit); - } - } - - pub fn get_cache_limit(&self) -> usize { - if let Ok(cache) = self.inner.lock() { - cache.cache_limit() - } else { - 0 - } - } -} - -impl CacheAccessor for MutexFileMetadataCache { - fn get(&self, k: &Path) -> Option { - match self.inner.lock() { - Ok(cache) => { - let result = cache.get(k); - if result.is_some() { - self.hit_count.fetch_add(1, Ordering::Relaxed); - } else { - self.miss_count.fetch_add(1, Ordering::Relaxed); - } - result - } - Err(e) => { - log_cache_error("get", &e.to_string()); - None - } - } - } - - fn put(&self, k: &Path, v: CachedFileMetadataEntry) -> Option { - match self.inner.lock() { - Ok(cache) => cache.put(k, v), - Err(e) => { - log_cache_error("put", &e.to_string()); - None - } - } - } - - fn remove(&self, k: &Path) -> Option { - match self.inner.lock() { - Ok(cache) => cache.remove(k), - Err(e) => { - log_cache_error("remove", &e.to_string()); - None - } - } - } - - fn contains_key(&self, k: &Path) -> bool { - match self.inner.lock() { - Ok(cache) => cache.contains_key(k), - Err(e) => { - log_cache_error("contains_key", &e.to_string()); - false - } - } - } - - fn len(&self) -> usize { - match self.inner.lock() { - Ok(cache) => cache.len(), - Err(e) => { - log_cache_error("len", &e.to_string()); - 0 - } - } - } - - fn clear(&self) { - match self.inner.lock() { - Ok(cache) => cache.clear(), - Err(e) => log_cache_error("clear", &e.to_string()), - } - } - - fn name(&self) -> String { - match self.inner.lock() { - Ok(cache) => cache.name(), - Err(e) => { - log_cache_error("name", &e.to_string()); - "cache_error".to_string() - } - } - } -} - -impl FileMetadataCache for MutexFileMetadataCache { - fn cache_limit(&self) -> usize { - match self.inner.lock() { - Ok(cache) => cache.cache_limit(), - Err(e) => { - log_cache_error("cache_limit", &e.to_string()); - 0 - } - } - } - - fn update_cache_limit(&self, limit: usize) { - match self.inner.lock() { - Ok(cache) => cache.update_cache_limit(limit), - Err(e) => log_cache_error("update_cache_limit", &e.to_string()), - } - } - - fn list_entries(&self) -> std::collections::HashMap { - match self.inner.lock() { - Ok(cache) => cache.list_entries(), - Err(e) => { - log_cache_error("list_entries", &e.to_string()); - std::collections::HashMap::new() - } - } - } -} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/custom_cache_manager.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs similarity index 59% rename from sandbox/plugins/analytics-backend-datafusion/rust/src/custom_cache_manager.rs rename to sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs index 097d3657b9e8e..540c05f7defd8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/custom_cache_manager.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs @@ -10,13 +10,15 @@ use std::sync::Arc; use datafusion::execution::cache::cache_manager::{FileMetadataCache, FileStatisticsCache, CacheManagerConfig}; use datafusion::execution::cache::file_statistics_cache::DefaultFileStatisticsCache; use datafusion::execution::cache::CacheAccessor; -use crate::statistics_cache::compute_parquet_statistics; -use crate::cache::MutexFileMetadataCache; -use crate::statistics_cache::CustomStatisticsCache; +use crate::cache::statistics_cache::{compute_parquet_statistics, compute_parquet_statistics_from_metadata}; +use crate::cache::metadata_cache::MutexFileMetadataCache; +use crate::cache::statistics_cache::CustomStatisticsCache; use object_store::path::Path; use object_store::ObjectMeta; -use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; -use log::{debug, error}; +use object_store::ObjectStore; +use native_bridge_common::log_debug; +use crate::cache::{metadata_cache, page_index}; +use crate::indexed_table::parquet_bridge; /// Create ObjectMeta from a local file path. fn create_object_meta_from_file(file_path: &str) -> Result, datafusion::common::DataFusionError> { @@ -48,7 +50,9 @@ pub struct CustomCacheManager { /// Direct reference to the file metadata cache file_metadata_cache: Option>, /// Direct reference to the statistics cache - statistics_cache: Option> + statistics_cache: Option>, + column_index_registered: bool, + offset_index_registered: bool, } impl CustomCacheManager { @@ -56,20 +60,38 @@ impl CustomCacheManager { pub fn new() -> Self { Self { file_metadata_cache: None, - statistics_cache: None + statistics_cache: None, + column_index_registered: false, + offset_index_registered: false, } } /// Set the file metadata cache pub fn set_file_metadata_cache(&mut self, cache: Arc) { self.file_metadata_cache = Some(cache); - debug!("[CACHE INFO] File metadata cache set in CustomCacheManager"); + log_debug!("[CACHE INFO] File metadata cache set in CustomCacheManager"); } /// Set the statistics cache pub fn set_statistics_cache(&mut self, cache: Arc) { self.statistics_cache = Some(cache); - debug!("[CACHE INFO] Statistics cache set in CustomCacheManager"); + log_debug!("[CACHE INFO] Statistics cache set in CustomCacheManager"); + } + + /// Register the column index cache with the given size limit. + /// Sets the limit on the process-global `COLUMN_INDEX_CACHE` singleton. + pub fn set_column_index_cache(&mut self, size_limit: usize) { + crate::cache::page_index::set_column_index_cache_limit(size_limit); + self.column_index_registered = true; + log_debug!("[CACHE INFO] Column index cache registered (limit={} bytes)", size_limit); + } + + /// Register the offset index cache with the given size limit. + /// Sets the limit on the process-global `OFFSET_INDEX_CACHE` singleton. + pub fn set_offset_index_cache(&mut self, size_limit: usize) { + crate::cache::page_index::set_offset_index_cache_limit(size_limit); + self.offset_index_registered = true; + log_debug!("[CACHE INFO] Offset index cache registered (limit={} bytes)", size_limit); } /// Get the statistics cache @@ -104,7 +126,12 @@ impl CustomCacheManager { config } - /// Add multiple files to all applicable caches + /// Add multiple files to all applicable caches. + /// + /// Footer metadata and statistics are derived from a **single** object-store + /// read per file: `load_parquet_metadata` fetches the footer, caches it, and + /// returns `(schema, ParquetMetaData)`. Statistics are then computed from that + /// already-decoded metadata — avoiding a second file read. pub fn add_files(&self, file_paths: &[String], rt_handle: &tokio::runtime::Handle) -> Result, String> { let mut results = Vec::new(); @@ -112,40 +139,43 @@ impl CustomCacheManager { let mut any_success = false; let mut errors = Vec::new(); - // Add to metadata cache - match self.metadata_cache_put(file_path, rt_handle) { - Ok(true) => { + // Single footer fetch — warms metadata cache and returns the decoded metadata + // so statistics can be derived without a second IO round-trip. + match self.metadata_cache_put_returning_meta(file_path, rt_handle) { + Ok(Some((schema, pq_meta))) => { any_success = true; + + // Derive statistics from the already-loaded metadata — no second read. + if let Some(stats_cache) = &self.statistics_cache { + let path = Path::from(file_path.as_str()); + if !stats_cache.contains_key(&path) { + match compute_parquet_statistics_from_metadata(&pq_meta, &schema) { + Ok(stats) => { + let meta = ObjectMeta { + location: path.clone(), + last_modified: chrono::Utc::now(), + size: std::fs::metadata(file_path).map(|m| m.len()).unwrap_or(0), + e_tag: None, + version: None, + }; + stats_cache.put_statistics(&path, Arc::new(stats), &meta); + } + Err(e) => { + errors.push(format!("Statistics cache: {}", e)); + } + } + } + } } - Ok(false) => { - debug!("[CACHE INFO] File not added for metadata cache: {}", file_path); + Ok(None) => { + log_debug!("[CACHE INFO] File not added for metadata cache: {}", file_path); } Err(e) => { errors.push(format!("Metadata cache: {}", e)); } } - // Add to statistics cache - if let Some(_) = &self.statistics_cache { - match self.statistics_cache_compute_and_put(file_path) { - Ok(true) => { - any_success = true; - } - Ok(false) => { - debug!("[CACHE INFO] File not added for statistics cache: {}", file_path); - } - Err(e) => { - errors.push(format!("Statistics cache: {}", e)); - } - } - } - - let success = if !errors.is_empty() && !any_success { - false - } else { - any_success - }; - + let success = if !errors.is_empty() && !any_success { false } else { any_success }; results.push((file_path.clone(), success)); } @@ -169,7 +199,7 @@ impl CustomCacheManager { if cache_guard.remove(&path).is_some() { any_removed = true; } else { - debug!("[CACHE INFO] File not found in metadata cache: {}", file_path); + log_debug!("[CACHE INFO] File not found in metadata cache: {}", file_path); } } Err(e) => { @@ -189,6 +219,12 @@ impl CustomCacheManager { } } + // Evict from scoped page-index caches (CI + OI) by file prefix + if self.column_index_registered || self.offset_index_registered { + page_index::evict_file_from_scoped_cache(file_path); + any_removed = true; + } + let removed = if !errors.is_empty() && !any_removed { false } else { @@ -229,18 +265,32 @@ impl CustomCacheManager { /// Check if a file exists in a specific cache type pub fn contains_file_by_type(&self, file_path: &str, cache_type: &str) -> bool { match cache_type { - crate::cache::CACHE_TYPE_METADATA => { + crate::cache::metadata_cache::CACHE_TYPE_METADATA => { let path = Path::from(file_path); self.file_metadata_cache .as_ref() .and_then(|cache| cache.get(&path)) .is_some() } - crate::cache::CACHE_TYPE_STATS => { + crate::cache::metadata_cache::CACHE_TYPE_STATS => { self.statistics_cache .as_ref() .map_or(false, |cache| cache.contains_key(&Path::from(file_path))) } + metadata_cache::CACHE_TYPE_COLUMN_INDEX => { + if !self.column_index_registered { return false; } + let stats = page_index::column_index_cache_stats(); + // CI is keyed by (file, col) — a file is "present" if entries > 0 and + // we match by prefix; check via evict-probe is heavy so we approximate + // with entries > 0. A per-file lookup requires iterating DashMap — not + // worth it for a boolean check; callers use this for diagnostics only. + stats.entries > 0 + } + metadata_cache::CACHE_TYPE_OFFSET_INDEX => { + if !self.offset_index_registered { return false; } + let stats = page_index::offset_index_cache_stats(); + stats.entries > 0 + } _ => false } } @@ -289,12 +339,15 @@ impl CustomCacheManager { if let Some(cache) = &self.statistics_cache { cache.clear(); } + if self.column_index_registered || self.offset_index_registered { + page_index::clear_scoped_cache(); + } } /// Clear specific cache type pub fn clear_cache_type(&self, cache_type: &str) -> Result<(), String> { match cache_type { - crate::cache::CACHE_TYPE_METADATA => { + metadata_cache::CACHE_TYPE_METADATA => { if let Some(cache) = &self.file_metadata_cache { cache.clear(); Ok(()) @@ -302,7 +355,7 @@ impl CustomCacheManager { Err("No metadata cache configured".to_string()) } } - crate::cache::CACHE_TYPE_STATS => { + metadata_cache::CACHE_TYPE_STATS => { if let Some(cache) = &self.statistics_cache { cache.clear(); Ok(()) @@ -310,6 +363,11 @@ impl CustomCacheManager { Err("No statistics cache configured".to_string()) } } + metadata_cache::CACHE_TYPE_COLUMN_INDEX + | metadata_cache::CACHE_TYPE_OFFSET_INDEX => { + page_index::clear_scoped_cache(); + Ok(()) + } _ => Err(format!("Unknown cache type: {}", cache_type)) } } @@ -317,7 +375,7 @@ impl CustomCacheManager { /// Get memory consumed by specific cache type pub fn get_memory_consumed_by_type(&self, cache_type: &str) -> Result { match cache_type { - crate::cache::CACHE_TYPE_METADATA => { + metadata_cache::CACHE_TYPE_METADATA => { if let Some(cache) = &self.file_metadata_cache { if let Ok(cache_guard) = cache.inner.lock() { Ok(cache_guard.memory_used()) @@ -328,21 +386,35 @@ impl CustomCacheManager { Err("No metadata cache configured".to_string()) } } - crate::cache::CACHE_TYPE_STATS => { + metadata_cache::CACHE_TYPE_STATS => { if let Some(cache) = &self.statistics_cache { Ok(cache.memory_consumed()) } else { Err("No statistics cache configured".to_string()) } } + metadata_cache::CACHE_TYPE_COLUMN_INDEX => { + Ok(page_index::column_index_cache_stats().used_bytes) + } + metadata_cache::CACHE_TYPE_OFFSET_INDEX => { + Ok(page_index::offset_index_cache_stats().used_bytes) + } _ => Err(format!("Unknown cache type: {}", cache_type)) } } - /// Internal method to put metadata into cache - fn metadata_cache_put(&self, file_path: &str, rt_handle: &tokio::runtime::Handle) -> Result { + /// Fetch a parquet file's footer, warm the metadata cache, and return the + /// decoded `(SchemaRef, Arc)` so the caller can derive + /// statistics without a second IO round-trip. + /// + /// Returns `Ok(None)` for non-parquet files. + fn metadata_cache_put_returning_meta( + &self, + file_path: &str, + rt_handle: &tokio::runtime::Handle, + ) -> Result)>, String> { if !file_path.to_lowercase().ends_with(".parquet") { - return Ok(false); // Skip unsupported formats + return Ok(None); } let object_metas = create_object_meta_from_file(file_path) @@ -351,42 +423,19 @@ impl CustomCacheManager { let object_meta = object_metas.first() .ok_or_else(|| "No object metadata returned".to_string())?; - let store = Arc::new(object_store::local::LocalFileSystem::new()); - - // Get cache reference for DataFusion metadata loading - let cache_ref = self.file_metadata_cache.as_ref() - .ok_or_else(|| "No file metadata cache configured".to_string())?; - - let metadata_cache = cache_ref.clone() as Arc; + let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); - // Use DataFusion's metadata loading by passing reference to file_metadata_cache to get complete metadata - // IMPORTANT: When a cache is provided to DFParquetMetadata, fetch_metadata() will: - // 1. Enable page index loading (with_page_indexes(true)) - // 2. Load the complete metadata including column and offset indexes - // 3. Automatically put the metadata into the cache (lines 155-160 in datafusion's metadata.rs) - // This ensures we cache exactly what DataFusion would cache during query execution - let _parquet_metadata = rt_handle.block_on(async { - let df_metadata = DFParquetMetadata::new(store.as_ref(), object_meta) - .with_file_metadata_cache(Some(metadata_cache)); + let metadata_cache = self.file_metadata_cache.as_ref() + .ok_or_else(|| "No file metadata cache configured".to_string())? + .clone() as Arc; - // fetch_metadata() performs the cache put operation internally - df_metadata.fetch_metadata().await - .map_err(|e| format!("Failed to fetch metadata: {}", e)) + let location = object_meta.location.clone(); + let meta = object_meta.clone(); + let (schema, _size, pq_meta) = rt_handle.block_on(async { + parquet_bridge::load_parquet_metadata_with_meta(store, &location, meta, metadata_cache).await })?; - // Verify the metadata was cached properly - match cache_ref.inner.lock() { - Ok(cache_guard) => { - let path = Path::from(file_path.to_string()); - if cache_guard.contains_key(&path) { - Ok(true) - } else { - debug!("[CACHE ERROR] Failed to cache metadata for: {}", file_path); - Ok(false) - } - } - Err(e) => Err(format!("Failed to verify cache: {}", e)) - } + Ok(Some((schema, pq_meta))) } /// Compute and put statistics into cache @@ -455,14 +504,14 @@ impl CustomCacheManager { success_count += 1; } Err(e) => { - debug!("[STATS CACHE ERROR] Failed to compute statistics for {}: {}", file_path, e); + native_bridge_common::log_debug!("[STATS CACHE ERROR] Failed to compute statistics for {}: {}", file_path, e); failed_files.push(file_path.clone()); } } } if !failed_files.is_empty() { - debug!("[STATS CACHE WARNING] Failed to compute statistics for {} files: {:?}", + native_bridge_common::log_debug!("[STATS CACHE WARNING] Failed to compute statistics for {} files: {:?}", failed_files.len(), failed_files); } @@ -560,3 +609,116 @@ impl CustomCacheManager { } } } + +#[cfg(test)] +mod tests { + use crate::cache::{CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_OFFSET_INDEX}; + use super::*; + use crate::cache::eviction_policy::PolicyType; + use crate::cache::page_index::{ + SCOPED_CACHE_TEST_GUARD, clear_scoped_cache_for_test, column_index_cache_stats, + offset_index_cache_stats, + }; + + #[test] + fn set_column_index_cache_registers_and_sets_limit() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + assert!(!mgr.column_index_registered); + + let limit = 16 * 1024 * 1024; // 16 MB + mgr.set_column_index_cache(limit); + + assert!(mgr.column_index_registered); + assert_eq!(column_index_cache_stats().limit_bytes, limit); + + clear_scoped_cache_for_test(); + } + + #[test] + fn set_offset_index_cache_registers_and_sets_limit() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + assert!(!mgr.offset_index_registered); + + let limit = 32 * 1024 * 1024; // 32 MB + mgr.set_offset_index_cache(limit); + + assert!(mgr.offset_index_registered); + assert_eq!(offset_index_cache_stats().limit_bytes, limit); + + clear_scoped_cache_for_test(); + } + + #[test] + fn clear_cache_type_column_index_clears_scoped_cache() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + mgr.set_column_index_cache(16 * 1024 * 1024); + + // clear_cache_type must succeed for COLUMN_INDEX + assert!(mgr.clear_cache_type(CACHE_TYPE_COLUMN_INDEX).is_ok()); + // and for OFFSET_INDEX too (both route to clear_scoped_cache) + assert!(mgr.clear_cache_type(CACHE_TYPE_OFFSET_INDEX).is_ok()); + + clear_scoped_cache_for_test(); + } + + #[test] + fn get_memory_consumed_by_type_returns_scoped_stats() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + mgr.set_column_index_cache(16 * 1024 * 1024); + mgr.set_offset_index_cache(32 * 1024 * 1024); + + // On empty cache both return 0 bytes (no entries yet). + assert_eq!( + mgr.get_memory_consumed_by_type(CACHE_TYPE_COLUMN_INDEX).unwrap(), + 0 + ); + assert_eq!( + mgr.get_memory_consumed_by_type(CACHE_TYPE_OFFSET_INDEX).unwrap(), + 0 + ); + + clear_scoped_cache_for_test(); + } + + #[test] + fn remove_files_evicts_scoped_cache_when_registered() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + mgr.set_column_index_cache(16 * 1024 * 1024); + + // Calling remove_files on a non-existent file must not panic. + let result = mgr.remove_files(&["/nonexistent/file.parquet".to_string()]); + assert!(result.is_ok()); + + clear_scoped_cache_for_test(); + } + + #[test] + fn clear_all_clears_scoped_cache_when_registered() { + let _g = SCOPED_CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + + let mut mgr = CustomCacheManager::new(); + mgr.set_column_index_cache(16 * 1024 * 1024); + mgr.set_offset_index_cache(32 * 1024 * 1024); + + // Must not panic even with no metadata/stats caches set. + mgr.clear_all(); + + clear_scoped_cache_for_test(); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/eviction_policy.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs similarity index 68% rename from sandbox/plugins/analytics-backend-datafusion/rust/src/eviction_policy.rs rename to sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs index 6fe2a7402b3b8..6d7eef0b4fca4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/eviction_policy.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs @@ -10,6 +10,8 @@ //! //! Simple pluggable cache eviction policies for statistics cache. +use std::sync::Arc; +use std::sync::atomic::Ordering; use datafusion::common::instant; use instant::Instant; use thiserror::Error; @@ -24,35 +26,54 @@ pub enum CacheError { /// Result type for cache operations pub type CacheResult = Result; -/// Core trait for cache eviction policies +/// Core trait for cache eviction policies. +/// +/// All methods take `&self` — implementations use interior mutability +/// (`DashMap`, atomics) so the trait object can be shared as `Arc` +/// without an outer `Mutex`. This means `get` on the parent cache never contends +/// on a global lock, only on the per-shard DashMap locks inside the policy. pub trait CachePolicy: Send + Sync { - /// Called when a cache entry is accessed - fn on_access(&mut self, key: &str, size: usize); + /// Called when a cache entry is accessed (updates recency/frequency metadata). + fn on_access(&self, key: &str, size: usize); - /// Called when a cache entry is inserted - fn on_insert(&mut self, key: &str, size: usize); - /// Called when a cache entry is removed - fn on_remove(&mut self, key: &str); + /// Called when a cache entry is inserted. + fn on_insert(&self, key: &str, size: usize); - /// Select entries for eviction to reach target size - /// Returns keys to evict, ordered by eviction priority + /// Called when a cache entry is removed. + fn on_remove(&self, key: &str); + + /// Select entries for eviction to free at least `target_size` bytes. + /// Returns string keys ordered by eviction priority (lowest-priority first). fn select_for_eviction(&self, target_size: usize) -> Vec; - /// Reset policy state - fn clear(&mut self); + /// Reset all policy state (called on cache clear). + fn clear(&self); - /// Get the name of this policy + /// Name of this policy, for logging/stats. fn policy_name(&self) -> &'static str; } -/// Policy types -#[derive(Debug, Clone)] -pub enum PolicyType { +/// Unified eviction policy selector for all caches in this crate. +/// +/// - `Lru` / `Lfu` — used by `CustomStatisticsCache` and the metadata cache +/// (backed by [`CachePolicy`] + [`create_policy`]). +/// - `Fifo` — used by `BoundedCache` (CI/OI scoped caches) via +/// `ScopedEvictionPolicy` + `FifoPolicy`. +/// +/// One enum for all caches means `df_create_cache` parses the Java-supplied +/// eviction string once and routes uniformly without separate enums per family. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum CacheEvictionPolicy { Lru, Lfu, + Fifo, } -/// Simple cache entry metadata +/// Backward-compatible alias — will be removed once all call sites are migrated. +pub type PolicyType = CacheEvictionPolicy; + +/// Metadata tracked per cached entry for eviction ordering. +/// Stored inside the policy's `DashMap`, mutated via `get_mut`. #[derive(Debug, Clone)] pub struct CacheEntryMetadata { pub size: usize, @@ -69,6 +90,8 @@ impl CacheEntryMetadata { } } + /// Update recency and frequency. Called via `DashMap::get_mut` which holds + /// only the per-shard write lock — not a global lock. pub fn on_access(&mut self) { self.last_accessed = Instant::now(); self.access_count += 1; @@ -97,37 +120,31 @@ impl Default for LruPolicy { } impl CachePolicy for LruPolicy { - fn on_access(&mut self, key: &str, size: usize) { + fn on_access(&self, key: &str, size: usize) { match self.entries.get_mut(key) { Some(mut entry) => { entry.on_access(); } None => { + // Entry missing from policy metadata (can happen transiently) — insert it. let metadata = CacheEntryMetadata::new(key.to_string(), size); self.entries.insert(key.to_string(), metadata); - self.total_size - .fetch_add(size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_add(size, Ordering::Relaxed); } } } - fn on_insert(&mut self, key: &str, size: usize) { + fn on_insert(&self, key: &str, size: usize) { let metadata = CacheEntryMetadata::new(key.to_string(), size); - if let Some(old_entry) = self.entries.insert(key.to_string(), metadata) { - let old_size = old_entry.size; - self.total_size - .fetch_sub(old_size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_sub(old_entry.size, Ordering::Relaxed); } - - self.total_size - .fetch_add(size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_add(size, Ordering::Relaxed); } - fn on_remove(&mut self, key: &str) { + fn on_remove(&self, key: &str) { if let Some((_, entry)) = self.entries.remove(key) { - self.total_size - .fetch_sub(entry.size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_sub(entry.size, Ordering::Relaxed); } } @@ -167,10 +184,9 @@ impl CachePolicy for LruPolicy { candidates } - fn clear(&mut self) { + fn clear(&self) { self.entries.clear(); - self.total_size - .store(0, std::sync::atomic::Ordering::Relaxed); + self.total_size.store(0, Ordering::Relaxed); } fn policy_name(&self) -> &'static str { @@ -200,7 +216,7 @@ impl Default for LfuPolicy { } impl CachePolicy for LfuPolicy { - fn on_access(&mut self, key: &str, size: usize) { + fn on_access(&self, key: &str, size: usize) { match self.entries.get_mut(key) { Some(mut entry) => { entry.on_access(); @@ -208,29 +224,22 @@ impl CachePolicy for LfuPolicy { None => { let metadata = CacheEntryMetadata::new(key.to_string(), size); self.entries.insert(key.to_string(), metadata); - self.total_size - .fetch_add(size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_add(size, Ordering::Relaxed); } } } - fn on_insert(&mut self, key: &str, size: usize) { + fn on_insert(&self, key: &str, size: usize) { let metadata = CacheEntryMetadata::new(key.to_string(), size); - if let Some(old_entry) = self.entries.insert(key.to_string(), metadata) { - let old_size = old_entry.size; - self.total_size - .fetch_sub(old_size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_sub(old_entry.size, Ordering::Relaxed); } - - self.total_size - .fetch_add(size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_add(size, Ordering::Relaxed); } - fn on_remove(&mut self, key: &str) { + fn on_remove(&self, key: &str) { if let Some((_, entry)) = self.entries.remove(key) { - self.total_size - .fetch_sub(entry.size, std::sync::atomic::Ordering::Relaxed); + self.total_size.fetch_sub(entry.size, Ordering::Relaxed); } } @@ -273,10 +282,9 @@ impl CachePolicy for LfuPolicy { candidates } - fn clear(&mut self) { + fn clear(&self) { self.entries.clear(); - self.total_size - .store(0, std::sync::atomic::Ordering::Relaxed); + self.total_size.store(0, Ordering::Relaxed); } fn policy_name(&self) -> &'static str { @@ -284,11 +292,19 @@ impl CachePolicy for LfuPolicy { } } -/// Create a cache policy instance -pub fn create_policy(policy_type: PolicyType) -> Box { +/// Create a [`CachePolicy`] (LRU or LFU) from `CacheEvictionPolicy`. +/// +/// Returns `None` for `Fifo` — FIFO uses `ScopedEvictionPolicy` via +/// `BoundedCache::with_named_policy`, not this trait. Callers that receive +/// `None` should route to `BoundedCache` instead. +/// +/// When a new variant is added to `CacheEvictionPolicy`, the compiler will +/// flag the missing arm here. +pub fn create_policy(policy_type: CacheEvictionPolicy) -> Option> { match policy_type { - PolicyType::Lru => Box::new(LruPolicy::new()), - PolicyType::Lfu => Box::new(LfuPolicy::new()), + CacheEvictionPolicy::Lru => Some(Arc::new(LruPolicy::new())), + CacheEvictionPolicy::Lfu => Some(Arc::new(LfuPolicy::new())), + CacheEvictionPolicy::Fifo => None, } } @@ -314,10 +330,10 @@ mod tests { #[test] fn test_create_policy() { - let lru_policy = create_policy(PolicyType::Lru); + let lru_policy = create_policy(PolicyType::Lru).unwrap(); assert_eq!(lru_policy.policy_name(), "lru"); - let lfu_policy = create_policy(PolicyType::Lfu); + let lfu_policy = create_policy(PolicyType::Lfu).unwrap(); assert_eq!(lfu_policy.policy_name(), "lfu"); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs new file mode 100644 index 0000000000000..04d1e80edc3d3 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs @@ -0,0 +1,343 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +use std::sync::atomic::{AtomicUsize, Ordering}; +use std::sync::{Arc, Mutex}; + +use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; +use datafusion::execution::cache::cache_manager::{ + CachedFileMetadataEntry, FileMetadataCache, FileMetadataCacheEntry, +}; +use datafusion::execution::cache::CacheAccessor; +use datafusion::execution::cache::DefaultFilesMetadataCache; +use datafusion::parquet::file::metadata::ParquetMetaData; +use object_store::path::Path; +use native_bridge_common::log_error; +use crate::parquet_page_cache::is_scoped_page_index_enabled; + +// Cache type constants +pub const CACHE_TYPE_METADATA: &str = "METADATA"; +pub const CACHE_TYPE_STATS: &str = "STATISTICS"; +pub const CACHE_TYPE_COLUMN_INDEX: &str = "COLUMN_INDEX"; +pub const CACHE_TYPE_OFFSET_INDEX: &str = "OFFSET_INDEX"; + +fn log_cache_error(operation: &str, error: &str) { + log_error!("[CACHE ERROR] {} operation failed: {}", operation, error); +} + +/// Return a cache entry whose `ParquetMetaData` carries footer-only metadata (no +/// `ColumnIndex` / `OffsetIndex`). If the entry already lacks a page index — or +/// isn't a `CachedParquetMetaData` at all — it's returned unchanged (no clone, no +/// rebuild). +/// +/// This is the single chokepoint that enforces the footer-only invariant: every +/// `put` runs the entry through here before it lands in the shared LRU. +fn strip_page_index(entry: CachedFileMetadataEntry) -> CachedFileMetadataEntry { + let Some(cached) = entry + .file_metadata + .as_any() + .downcast_ref::() + else { + return entry; + }; + let meta = cached.parquet_metadata(); + if meta.column_index().is_none() && meta.offset_index().is_none() { + // Already footer-only — keep the existing Arc, avoid a rebuild. + return entry; + } + // Rebuild without the page index. The heavy decoded `ColumnIndex` / + // `OffsetIndex` are released when the original Arc drops; the footer + // (row-group + column chunk stats) is preserved. + let stripped = ParquetMetaData::clone(meta) + .into_builder() + .set_column_index(None) + .set_offset_index(None) + .build(); + CachedFileMetadataEntry::new( + entry.meta, + Arc::new(CachedParquetMetaData::new(Arc::new(stripped))), + ) +} + +// Wrapper to make Mutex implement FileMetadataCache +pub struct MutexFileMetadataCache { + pub inner: Mutex, + hit_count: AtomicUsize, + miss_count: AtomicUsize, +} + +impl MutexFileMetadataCache { + pub fn new(cache: DefaultFilesMetadataCache) -> Self { + Self { + inner: Mutex::new(cache), + hit_count: AtomicUsize::new(0), + miss_count: AtomicUsize::new(0), + } + } + + pub fn hit_count(&self) -> usize { + self.hit_count.load(Ordering::Relaxed) + } + + pub fn miss_count(&self) -> usize { + self.miss_count.load(Ordering::Relaxed) + } + + pub fn reset_stats(&self) { + self.hit_count.store(0, Ordering::Relaxed); + self.miss_count.store(0, Ordering::Relaxed); + } + + pub fn clear_cache(&self) { + if let Ok(cache) = self.inner.lock() { + cache.clear(); + } + } + + pub fn update_cache_limit(&self, new_limit: usize) { + if let Ok(cache) = self.inner.lock() { + cache.update_cache_limit(new_limit); + } + } + + pub fn get_cache_limit(&self) -> usize { + if let Ok(cache) = self.inner.lock() { + cache.cache_limit() + } else { + 0 + } + } +} + +impl CacheAccessor for MutexFileMetadataCache { + fn get(&self, k: &Path) -> Option { + match self.inner.lock() { + Ok(cache) => { + let result = cache.get(k); + if result.is_some() { + self.hit_count.fetch_add(1, Ordering::Relaxed); + } else { + self.miss_count.fetch_add(1, Ordering::Relaxed); + } + result + } + Err(e) => { + log_cache_error("get", &e.to_string()); + None + } + } + } + + fn put(&self, k: &Path, v: CachedFileMetadataEntry) -> Option { + // When scoped page-index is enabled: strip ColumnIndex + OffsetIndex from + // the entry before caching. The level-1 cache stays footer-only; page-level + // pruning is handled by the scoped cache (`parquet_page_cache`). + // + // When scoped page-index is disabled (fallback mode): retain the full entry + // including page indexes so DataFusion's default page pruning path continues + // to function. In this mode `load_parquet_metadata` fetches with + // `PageIndexPolicy::ReadAll`, so the full index is present to retain. + let v = if is_scoped_page_index_enabled() { + strip_page_index(v) + } else { + v + }; + match self.inner.lock() { + Ok(cache) => cache.put(k, v), + Err(e) => { + log_cache_error("put", &e.to_string()); + None + } + } + } + + fn remove(&self, k: &Path) -> Option { + match self.inner.lock() { + Ok(cache) => cache.remove(k), + Err(e) => { + log_cache_error("remove", &e.to_string()); + None + } + } + } + + fn contains_key(&self, k: &Path) -> bool { + match self.inner.lock() { + Ok(cache) => cache.contains_key(k), + Err(e) => { + log_cache_error("contains_key", &e.to_string()); + false + } + } + } + + fn len(&self) -> usize { + match self.inner.lock() { + Ok(cache) => cache.len(), + Err(e) => { + log_cache_error("len", &e.to_string()); + 0 + } + } + } + + fn clear(&self) { + match self.inner.lock() { + Ok(cache) => cache.clear(), + Err(e) => log_cache_error("clear", &e.to_string()), + } + } + + fn name(&self) -> String { + match self.inner.lock() { + Ok(cache) => cache.name(), + Err(e) => { + log_cache_error("name", &e.to_string()); + "cache_error".to_string() + } + } + } +} + +impl FileMetadataCache for MutexFileMetadataCache { + fn cache_limit(&self) -> usize { + match self.inner.lock() { + Ok(cache) => cache.cache_limit(), + Err(e) => { + log_cache_error("cache_limit", &e.to_string()); + 0 + } + } + } + + fn update_cache_limit(&self, limit: usize) { + match self.inner.lock() { + Ok(cache) => cache.update_cache_limit(limit), + Err(e) => log_cache_error("update_cache_limit", &e.to_string()), + } + } + + fn list_entries(&self) -> std::collections::HashMap { + match self.inner.lock() { + Ok(cache) => cache.list_entries(), + Err(e) => { + log_cache_error("list_entries", &e.to_string()); + std::collections::HashMap::new() + } + } + } +} + +#[cfg(test)] +mod strip_page_index_tests { + use super::*; + use datafusion::arrow::array::{Int64Array, RecordBatch}; + use datafusion::arrow::datatypes::{DataType, Field, Schema}; + use datafusion::parquet::arrow::arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}; + use datafusion::parquet::arrow::ArrowWriter; + use datafusion::parquet::file::properties::{EnabledStatistics, WriterProperties}; + use object_store::ObjectMeta; + use prost::bytes::Bytes; + + fn parquet_with_page_index() -> Bytes { + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); + let batch = RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from((0..4096i64).collect::>()))], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_statistics_enabled(EnabledStatistics::Page) + .set_data_page_row_count_limit(128) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema, Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + Bytes::from(buf) + } + + fn object_meta(bytes: &Bytes) -> ObjectMeta { + ObjectMeta { + location: Path::from("data.parquet"), + last_modified: chrono::Utc::now(), + size: bytes.len() as u64, + e_tag: None, + version: None, + } + } + + fn full_index_entry(bytes: &Bytes) -> CachedFileMetadataEntry { + let meta = ArrowReaderMetadata::load( + &bytes.clone(), + ArrowReaderOptions::new().with_page_index(true), + ) + .unwrap(); + let pq = meta.metadata().clone(); + assert!(pq.column_index().is_some() && pq.offset_index().is_some()); + CachedFileMetadataEntry::new(object_meta(bytes), Arc::new(CachedParquetMetaData::new(pq))) + } + + fn page_index_present(entry: &CachedFileMetadataEntry) -> bool { + let cached = entry + .file_metadata + .as_any() + .downcast_ref::() + .unwrap(); + let m = cached.parquet_metadata(); + m.column_index().is_some() || m.offset_index().is_some() + } + + #[test] + fn put_strips_page_index_and_get_returns_footer_only() { + let bytes = parquet_with_page_index(); + let entry = full_index_entry(&bytes); + assert!(page_index_present(&entry), "precondition: entry has page index"); + + let cache = MutexFileMetadataCache::new(DefaultFilesMetadataCache::new(64 * 1024 * 1024)); + let key = Path::from("data.parquet"); + cache.put(&key, entry); + + let got = cache.get(&key).expect("entry must be retrievable"); + assert!(!page_index_present(&got), "cached entry must be footer-only after put"); + let cached = got + .file_metadata + .as_any() + .downcast_ref::() + .unwrap(); + let m = cached.parquet_metadata(); + assert!(m.num_row_groups() > 0); + assert!(m.row_group(0).column(0).statistics().is_some(), "footer stats must survive"); + } + + #[test] + fn strip_is_noop_for_footer_only_entry() { + let bytes = parquet_with_page_index(); + let meta = ArrowReaderMetadata::load( + &bytes.clone(), + ArrowReaderOptions::new().with_page_index(false), + ) + .unwrap(); + let pq = meta.metadata().clone(); + assert!(pq.column_index().is_none() && pq.offset_index().is_none()); + let entry = CachedFileMetadataEntry::new( + object_meta(&bytes), + Arc::new(CachedParquetMetaData::new(Arc::clone(&pq))), + ); + let stripped = strip_page_index(entry); + let cached = stripped + .file_metadata + .as_any() + .downcast_ref::() + .unwrap(); + assert!( + Arc::ptr_eq(cached.parquet_metadata(), &pq), + "footer-only entry must be returned unchanged (same Arc)" + ); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs new file mode 100644 index 0000000000000..b7a4a623f928e --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs @@ -0,0 +1,37 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Cache infrastructure for the analytics backend. +//! +//! # Structure +//! +//! - [`eviction_policy`] — pluggable eviction policy trait (`CachePolicy`) and +//! built-in implementations (`LruPolicy`, `LfuPolicy`). Add new policies here +//! (e.g. S3-FIFO) without touching the cache implementations. +//! - [`metadata_cache`] — `MutexFileMetadataCache`: wraps DataFusion's +//! `DefaultFilesMetadataCache` with hit/miss counters and enforces the +//! footer-only invariant via `strip_page_index` at every `put`. +//! - [`statistics_cache`] — `CustomStatisticsCache`: byte-bounded LRU cache +//! for per-file `Statistics` (row-group min/max/null-count). +//! - [`custom_manager`] — `CustomCacheManager`: ties the metadata and +//! statistics caches together for pre-warming and lifecycle management. +//! - [`page_index`] — scoped parquet page-index caches (ColumnIndex + +//! OffsetIndex), cell-granular and backed by `BoundedCache` / +//! `Box`. + +pub mod custom_cache_manager; +pub mod eviction_policy; +pub mod metadata_cache; +pub mod page_index; +pub mod statistics_cache; + +// Flat re-exports so existing call sites keep working without path changes. +pub use custom_cache_manager::CustomCacheManager; +pub use eviction_policy::{CachePolicy, CacheResult, PolicyType, create_policy}; +pub use metadata_cache::{MutexFileMetadataCache, CACHE_TYPE_METADATA, CACHE_TYPE_STATS, CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_OFFSET_INDEX}; +pub use statistics_cache::{CustomStatisticsCache, compute_parquet_statistics}; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_keys.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_keys.rs new file mode 100644 index 0000000000000..8bcc121a1646e --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_keys.rs @@ -0,0 +1,65 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Cache key types for the two scoped page-index caches. + +use std::fmt::Display; +use std::sync::Arc; + +use parquet::file::page_index::offset_index::OffsetIndexMetaData; + +/// ColumnIndex cache key — one decoded `ColumnIndexMetaData` **cell** per +/// `(file, column, row-group)`. The page index for a given column+RG is an +/// intrinsic property of the file: it is identical no matter which *other* +/// columns a query filters on, or which literal a predicate uses. Keying at the +/// cell granularity means a column's per-page string min/max is decoded and +/// stored **once per file**, then reused by every query whose predicate touches +/// that column — regardless of the predicate-column *combination* or the +/// surviving-row-group *set*. (The prior set-keyed design re-decoded and +/// re-stored a column for every distinct predicate/RG combination — storage grew +/// with query diversity, not schema width.) +/// +/// Both scan paths resolve the same `(file, col, rg)` for the same logical +/// request, so cells are shared across paths → cross-path sharing. +#[derive(Clone, PartialEq, Eq, Hash, Debug)] +pub(crate) struct CiCellKey { + pub(crate) path: Arc, + pub(crate) col: usize, + pub(crate) rg: usize, +} + +impl Display for CiCellKey { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}:{}:{}", self.path, self.col, self.rg) + } +} + +/// OffsetIndex cache key — one decoded value per `(file, column)`, where the +/// value is that column's `OffsetIndexMetaData` for **every** row group (a +/// `Vec` indexed by RG). Unlike the ColumnIndex, the OffsetIndex is read at scan +/// time for any RG DataFusion chooses to scan — and DataFusion picks that set +/// itself, after our load — so a column's OffsetIndex must always cover all RGs +/// (an empty entry on a scanned RG panics / breaks reads). RG can therefore never +/// be a key axis here; the cell is the whole-column, all-RG offset index. Keyed +/// only on `(file, col)`, so any query that reads a column reuses its offset +/// index irrespective of projection or predicate. +#[derive(Clone, PartialEq, Eq, Hash, Debug)] +pub(crate) struct OiCellKey { + pub(crate) path: Arc, + pub(crate) col: usize, +} + +impl Display for OiCellKey { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}:{}", self.path, self.col) + } +} + +/// One column's OffsetIndex across all row groups (indexed by RG). The value type +/// of [`OFFSET_INDEX_CACHE`]. +pub(crate) type OiColumn = Vec; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs new file mode 100644 index 0000000000000..7dabe251071cc --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs @@ -0,0 +1,703 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Byte-bounded concurrent cache with a pluggable eviction policy. +//! +//! # Architecture +//! +//! ```text +//! BoundedCache> +//! ├── DashMap ← lock-free concurrent reads +//! ├── Mutex<{ used_bytes, limit }> ← write-path accounting only +//! └── P (eviction policy) ← owns the eviction queue, uses interior mutability +//! ``` +//! +//! **Reads are lock-free** — `get` only touches the `DashMap` shard lock. +//! +//! **Writes take one `parking_lot::Mutex`** for `used_bytes` + limit accounting. +//! The eviction policy is called inside the lock for consistency. +//! +//! **Pluggable eviction**: [`ScopedEvictionPolicy`] is the trait. Today +//! [`FifoPolicy`] is the only implementation. S3-FIFO (ghost-set promotion) +//! can be added later by implementing the same trait. +//! +//! **Lazy deletion on overwrite**: re-inserting an existing key leaves a stale +//! entry in the eviction queue. [`BoundedCache::drain_to_limit`] skips stale +//! victims with a single `DashMap::remove` miss — O(1) overwrite, no O(n) +//! retain scan. +//! +//! **`evict_by_prefix`** is the only O(n) operation: it scans the eviction +//! queue to remove all cells for a deleted/replaced file. This is a rare +//! cold-path operation (file deletion or merge), not on the query hot path. + +use std::cell::UnsafeCell; +use std::fmt::Display; +use std::hash::Hash; +use std::collections::VecDeque; +use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering::Relaxed}; + +use dashmap::DashMap; +use parking_lot::Mutex; +use crate::eviction_policy::CacheEvictionPolicy; + +/// Fallback byte budget used only in tests that bypass the Java startup path. +/// In production the Java settings consumer always calls +/// `set_column_index_cache_limit` / `set_offset_index_cache_limit` during +/// plugin initialization before any query runs, so this value is never used +/// outside tests. +pub(crate) const DEFAULT_SCOPED_CACHE_LIMIT: usize = 150 * 1024 * 1024; + +// ── Eviction policy trait ──────────────────────────────────────────────────── + +/// Pluggable eviction policy for [`BoundedCache`]. +/// +/// Implementations must use interior mutability (`Mutex`, atomics, etc.) so +/// they can be called through a shared reference. All methods are called from +/// inside the `BoundedCache` write lock, so implementations do not need their +/// own locks — but must still be `Send + Sync` for the `Lazy` +/// statics. +/// +/// # Implementing a new policy +/// +/// 1. Implement this trait with interior mutability. +/// 2. Wire it in `mod.rs` by passing it to `BoundedCache::new`. +/// 3. Expose a `PolicyType` variant in the Java API and route it from +/// `df_create_cache` in `ffm.rs`. +pub(super) trait ScopedEvictionPolicy: Send + Sync { + /// Called when a new entry is inserted (or an existing key is overwritten). + /// The policy should record `key` as the most-recently inserted entry. + fn on_insert(&self, key: K); + + /// Called when an entry is accessed on the hot read path. + /// FIFO ignores this; frequency-aware policies (LFU, S3-FIFO) update + /// access counts here. + fn on_access(&self, key: &K); + + /// Pop and return the next eviction candidate. + /// + /// Called repeatedly by [`BoundedCache::drain_to_limit`] until + /// `used_bytes <= limit`. The caller performs lazy deletion: if the + /// returned key is no longer in the `DashMap` (stale entry from an + /// overwrite), `drain_to_limit` skips it and calls `next_victim` again. + fn next_victim(&self) -> Option; + + /// Called when an entry is explicitly removed (prefix eviction, clear). + /// Allows the policy to remove the entry from its internal bookkeeping. + fn on_remove(&self, key: &K); + + /// Reset all internal state (called on `clear_keep_limit`). + fn clear(&self); +} + +// ── FIFO policy ────────────────────────────────────────────────────────────── + +/// Insert-order (FIFO) eviction policy. +/// +/// Oldest-inserted entry is evicted first. Access order is not tracked — reads +/// are fully lock-free. Stale entries (from overwrites) are left in the queue +/// and skipped by the `BoundedCache` eviction loop (lazy deletion). +/// +/// # No inner lock +/// +/// All `ScopedEvictionPolicy` methods are called exclusively from inside +/// `BoundedCache`'s outer `Mutex` lock, which already serializes +/// all mutations. An additional inner lock on the queue would be a +/// no-contention lock/unlock cycle with zero benefit. We use `UnsafeCell` +/// instead, with the outer lock as the synchronization invariant. +/// +/// # Safety invariant +/// +/// Every method that calls `queue_mut()` or `queue_ref()` must be called while +/// the `BoundedCache` write lock is held. `on_access` is a no-op for FIFO and +/// is called from the lock-free `get` path — it does not touch the queue. +/// +/// S3-FIFO (planned successor) wraps two FIFO queues with a ghost set. If its +/// `on_access` needs to update state from the read path, it would need its own +/// interior mutability (e.g. atomics for frequency counters). +pub(super) struct FifoPolicy { + /// Guarded by the outer `BoundedCache` write lock — no inner lock needed. + queue: UnsafeCell>, +} + +// SAFETY: `FifoPolicy` is only mutated under `BoundedCache`'s `Mutex`. +unsafe impl Send for FifoPolicy {} +unsafe impl Sync for FifoPolicy {} + +impl FifoPolicy { + pub(super) fn new() -> Self { + Self { queue: UnsafeCell::new(VecDeque::new()) } + } + + /// Borrow the queue mutably. Caller must hold the outer write lock. + #[inline] + fn queue_mut(&self) -> &mut VecDeque { + // SAFETY: caller holds the `BoundedCache` write lock. + unsafe { &mut *self.queue.get() } + } +} + +impl ScopedEvictionPolicy for FifoPolicy { + fn on_insert(&self, key: K) { + self.queue_mut().push_back(key); + } + + fn on_access(&self, _key: &K) { + // FIFO does not track access order — no queue mutation, reads stay lock-free. + } + + fn next_victim(&self) -> Option { + self.queue_mut().pop_front() + } + + fn on_remove(&self, key: &K) { + // O(n) scan — only called from evict_by_prefix (cold path). + self.queue_mut().retain(|k| k != key); + } + + fn clear(&self) { + self.queue_mut().clear(); + } +} + +// ── Write-lock state ───────────────────────────────────────────────────────── + +/// Mutable accounting serialised under the `BoundedCache` write lock. +/// The eviction queue lives in the policy; this struct tracks only bytes. +struct WriteState { + used_bytes: usize, + limit: usize, +} + +impl WriteState { + fn new(limit: usize) -> Self { + Self { used_bytes: 0, limit } + } +} + +// ── BoundedCache ───────────────────────────────────────────────────────────── + +/// Snapshot of one scoped cache's counters plus occupancy. +/// Surfaced on node-stats and used by tests. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)] +pub struct ScopedCacheStats { + pub hits: u64, + pub misses: u64, + pub evictions: u64, + pub entries: usize, + pub used_bytes: usize, + pub limit_bytes: usize, +} + +/// Byte-bounded concurrent cache parameterised over an eviction policy `P`. +/// +/// `K` must implement `Display` so `evict_by_prefix` can match keys by their +/// string representation (e.g. `"path:col:rg"` → prefix `"path"`). +pub(super) struct BoundedCache> +where + K: Eq + Hash + Clone + Display + Send + Sync + 'static, + V: Clone + Send + Sync + 'static, + P: ScopedEvictionPolicy, +{ + /// Value store — DashMap for lock-free concurrent reads. + map: DashMap, + /// Byte accounting under one lock. The eviction queue lives in `policy`. + write: Mutex, + /// Eviction policy — uses interior mutability, called inside `write` lock. + policy: P, + /// Byte cap snapshot for lock-free `stats()`. + limit_snapshot: AtomicUsize, + // Lock-free diagnostic counters. + hits: AtomicU64, + misses: AtomicU64, + evictions: AtomicU64, + used_bytes_snapshot: AtomicUsize, +} + +impl BoundedCache> +where + K: Eq + Hash + Clone + Display + Send + Sync + 'static, + V: Clone + Send + Sync + 'static, +{ + /// Create a `BoundedCache` with the named eviction policy. + /// + /// Only `Fifo` is accepted — `Lru`/`Lfu` belong to `CustomStatisticsCache`. + /// The match is exhaustive over `CacheEvictionPolicy` so adding a new + /// variant (e.g. `S3Fifo`) will be a compile error here until it's wired. + pub(crate) fn with_named_policy(limit: usize, policy: CacheEvictionPolicy) -> Self { + use crate::cache::eviction_policy::CacheEvictionPolicy; + let CacheEvictionPolicy::Fifo = policy else { + unreachable!("BoundedCache only supports Fifo; use CustomStatisticsCache for Lru/Lfu"); + }; + Self::with_policy(limit, FifoPolicy::new()) + } + + /// Create a new cache with FIFO eviction — shorthand for tests. + pub(super) fn new(limit: usize) -> Self { + Self::with_named_policy(limit, CacheEvictionPolicy::Fifo) + } +} + +impl BoundedCache +where + K: Eq + Hash + Clone + Display + Send + Sync + 'static, + V: Clone + Send + Sync + 'static, + P: ScopedEvictionPolicy, +{ + /// Create a cache with an explicit policy. Use this when plugging in a + /// non-default policy (e.g. S3-FIFO in a future PR). + pub(super) fn with_policy(limit: usize, policy: P) -> Self { + Self { + map: DashMap::new(), + write: Mutex::new(WriteState::new(limit)), + policy, + limit_snapshot: AtomicUsize::new(limit), + hits: AtomicU64::new(0), + misses: AtomicU64::new(0), + evictions: AtomicU64::new(0), + used_bytes_snapshot: AtomicUsize::new(0), + } + } + + /// Lock-free read. Contends only on the DashMap per-shard read lock. + pub(super) fn get(&self, key: &K) -> Option { + match self.map.get(key) { + Some(entry) => { + self.policy.on_access(key); + self.hits.fetch_add(1, Relaxed); + Some(entry.0.clone()) + } + None => { + self.misses.fetch_add(1, Relaxed); + None + } + } + } + + /// Insert a key-value pair with its byte cost. + /// + /// If `size > limit` the entry is silently dropped. Takes the write lock + /// for accounting; IO must be done by the caller before calling this. + pub(super) fn insert(&self, key: K, value: V, size: usize) { + let limit = self.limit_snapshot.load(Relaxed); + if size > limit { + return; + } + + let old_size = self.map.insert(key.clone(), (value, size)) + .map(|(_, s)| s) + .unwrap_or(0); + + let mut w = self.write.lock(); + + if old_size > 0 { + // Overwrite: update byte accounting. Stale FIFO entry is left in + // place for lazy deletion by drain_to_limit. + w.used_bytes = w.used_bytes.saturating_sub(old_size); + } + + w.used_bytes += size; + self.policy.on_insert(key); + + let evicted = self.drain_to_limit(&mut w); + self.used_bytes_snapshot.store(w.used_bytes, Relaxed); + drop(w); + + if evicted > 0 { + self.evictions.fetch_add(evicted, Relaxed); + } + } + + /// Insert multiple entries under a single write-lock acquisition. + /// + /// Preferred when a query produces several cells at once (e.g. all CI + /// cells for a vectored multi-column fetch). One lock + one eviction pass + /// instead of N separate calls. + pub(super) fn insert_batch(&self, entries: impl IntoIterator) { + let limit = self.limit_snapshot.load(Relaxed); + + // DashMap updates are outside the write lock — independently concurrent. + let mut to_account: Vec<(K, usize, usize)> = Vec::new(); + for (key, value, size) in entries { + if size > limit { + continue; + } + let old_size = self.map.insert(key.clone(), (value, size)) + .map(|(_, s)| s) + .unwrap_or(0); + to_account.push((key, size, old_size)); + } + + if to_account.is_empty() { + return; + } + + let mut w = self.write.lock(); + for (key, size, old_size) in to_account { + if old_size > 0 { + w.used_bytes = w.used_bytes.saturating_sub(old_size); + } + w.used_bytes += size; + self.policy.on_insert(key); + } + + let evicted = self.drain_to_limit(&mut w); + self.used_bytes_snapshot.store(w.used_bytes, Relaxed); + drop(w); + + if evicted > 0 { + self.evictions.fetch_add(evicted, Relaxed); + } + } + + /// Evict policy victims until `used_bytes <= limit`. + /// Stale victims (overwritten entries) are skipped via lazy deletion. + /// Must be called inside the write lock. + fn drain_to_limit(&self, w: &mut WriteState) -> u64 { + let mut evicted = 0u64; + while w.used_bytes > w.limit { + let Some(victim) = self.policy.next_victim() else { break }; + if let Some((_, (_, size))) = self.map.remove(&victim) { + w.used_bytes = w.used_bytes.saturating_sub(size); + evicted += 1; + } + // If map.remove returned None: stale entry, used_bytes already + // adjusted at overwrite time — skip without double-decrementing. + } + evicted + } + + /// Update the byte cap and immediately evict if over budget. + pub(super) fn set_limit(&self, limit: usize) { + self.limit_snapshot.store(limit, Relaxed); + let mut w = self.write.lock(); + w.limit = limit; + let evicted = self.drain_to_limit(&mut w); + self.used_bytes_snapshot.store(w.used_bytes, Relaxed); + drop(w); + if evicted > 0 { + self.evictions.fetch_add(evicted, Relaxed); + } + } + + /// Drop all entries and reset counters, keeping the current limit. + pub(super) fn clear_keep_limit(&self) { + self.map.clear(); + let mut w = self.write.lock(); + w.used_bytes = 0; + self.policy.clear(); + drop(w); + self.hits.store(0, Relaxed); + self.misses.store(0, Relaxed); + self.evictions.store(0, Relaxed); + self.used_bytes_snapshot.store(0, Relaxed); + } + + /// Evict all entries whose `Display` representation starts with `prefix`. + /// Used when a parquet file is deleted or replaced. + /// + /// O(n) scan of the eviction queue — cold path only (file deletion/merge). + pub(super) fn evict_by_prefix(&self, prefix: &str) { + // Collect victims by iterating the DashMap (avoids holding the write + // lock while doing string comparisons on every FIFO entry). + let victims: Vec = self.map.iter() + .filter(|e| e.key().to_string().starts_with(prefix)) + .map(|e| e.key().clone()) + .collect(); + + if victims.is_empty() { + return; + } + + let mut w = self.write.lock(); + let mut evicted = 0u64; + for victim in &victims { + if let Some((_, (_, size))) = self.map.remove(victim) { + w.used_bytes = w.used_bytes.saturating_sub(size); + evicted += 1; + } + self.policy.on_remove(victim); + } + self.used_bytes_snapshot.store(w.used_bytes, Relaxed); + drop(w); + + if evicted > 0 { + self.evictions.fetch_add(evicted, Relaxed); + } + } + + /// Lock-free stats snapshot. + pub(super) fn stats(&self) -> ScopedCacheStats { + ScopedCacheStats { + hits: self.hits.load(Relaxed), + misses: self.misses.load(Relaxed), + evictions: self.evictions.load(Relaxed), + entries: self.map.len(), + used_bytes: self.used_bytes_snapshot.load(Relaxed), + limit_bytes: self.limit_snapshot.load(Relaxed), + } + } +} + +// ── Tests ──────────────────────────────────────────────────────────────────── + +#[cfg(test)] +mod tests { + use super::*; + use std::sync::Arc; + + #[derive(Clone, PartialEq, Eq, Hash)] + struct Key(String); + impl std::fmt::Display for Key { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { f.write_str(&self.0) } + } + impl Key { + fn new(s: impl Into) -> Self { Key(s.into()) } + } + + fn make_cache(limit: usize) -> BoundedCache> { + BoundedCache::new(limit) + } + + // ── basic correctness ───────────────────────────────────────────────────── + + #[test] + fn insert_and_get_roundtrip() { + let c = make_cache(1024); + c.insert(Key::new("a"), vec![1, 2, 3], 3); + assert_eq!(c.get(&Key::new("a")), Some(vec![1, 2, 3])); + assert_eq!(c.get(&Key::new("missing")), None); + } + + #[test] + fn used_bytes_tracks_inserts_and_evictions() { + let c = make_cache(10); + c.insert(Key::new("a"), vec![], 4); + c.insert(Key::new("b"), vec![], 4); + assert_eq!(c.stats().used_bytes, 8); + c.insert(Key::new("c"), vec![], 4); + let s = c.stats(); + assert!(s.used_bytes <= 10, "used_bytes={} must be <= limit=10", s.used_bytes); + assert!(s.evictions >= 1); + } + + #[test] + fn overwrite_does_not_leak_bytes() { + let c = make_cache(1024); + c.insert(Key::new("a"), vec![1], 10); + c.insert(Key::new("a"), vec![2], 5); + assert_eq!(c.stats().used_bytes, 5); + assert_eq!(c.get(&Key::new("a")), Some(vec![2])); + } + + #[test] + fn entry_too_large_is_dropped() { + let c = make_cache(10); + c.insert(Key::new("huge"), vec![], 11); + assert_eq!(c.get(&Key::new("huge")), None); + assert_eq!(c.stats().used_bytes, 0); + } + + #[test] + fn evict_by_prefix_removes_matching_entries() { + let c = make_cache(1024); + c.insert(Key::new("file1:col0"), vec![], 10); + c.insert(Key::new("file1:col1"), vec![], 10); + c.insert(Key::new("file2:col0"), vec![], 10); + c.evict_by_prefix("file1"); + assert_eq!(c.get(&Key::new("file1:col0")), None); + assert_eq!(c.get(&Key::new("file1:col1")), None); + assert_eq!(c.get(&Key::new("file2:col0")), Some(vec![])); + assert_eq!(c.stats().used_bytes, 10); + } + + #[test] + fn clear_resets_all_state() { + let c = make_cache(1024); + c.insert(Key::new("a"), vec![], 10); + c.insert(Key::new("b"), vec![], 20); + c.clear_keep_limit(); + let s = c.stats(); + assert_eq!(s.used_bytes, 0); + assert_eq!(s.entries, 0); + assert_eq!(s.hits, 0); + assert_eq!(s.misses, 0); + assert_eq!(s.evictions, 0); + assert_eq!(c.limit_snapshot.load(Relaxed), 1024); + } + + #[test] + fn insert_batch_one_lock_same_result_as_individual() { + let c1 = make_cache(1024); + let c2 = make_cache(1024); + let entries = vec![ + (Key::new("a"), vec![1u8], 10), + (Key::new("b"), vec![2u8], 20), + (Key::new("c"), vec![3u8], 30), + ]; + for (k, v, s) in entries.clone() { + c1.insert(k, v, s); + } + c2.insert_batch(entries.into_iter()); + assert_eq!(c1.get(&Key::new("a")), c2.get(&Key::new("a"))); + assert_eq!(c1.get(&Key::new("b")), c2.get(&Key::new("b"))); + assert_eq!(c1.get(&Key::new("c")), c2.get(&Key::new("c"))); + assert_eq!(c1.stats().used_bytes, c2.stats().used_bytes); + } + + // ── pluggable policy ────────────────────────────────────────────────────── + + /// Verify that `with_policy` compiles and works with a custom policy, + /// proving the extensibility point works without modifying `BoundedCache`. + #[test] + fn custom_policy_compiles_and_works() { + // A trivial "always evict the first key ever inserted" policy (same as FIFO). + let cache: BoundedCache, FifoPolicy> = + BoundedCache::with_policy(20, FifoPolicy::new()); + cache.insert(Key::new("x"), vec![], 10); + cache.insert(Key::new("y"), vec![], 10); + cache.insert(Key::new("z"), vec![], 10); // triggers eviction of "x" + assert_eq!(cache.get(&Key::new("x")), None, "x must have been evicted"); + assert!(cache.stats().used_bytes <= 20); + } + + // ── concurrency ─────────────────────────────────────────────────────────── + + #[test] + fn concurrent_inserts_stay_within_limit() { + const THREADS: usize = 8; + const PER_THREAD: usize = 200; + const ENTRY_SIZE: usize = 10; + const LIMIT: usize = THREADS * PER_THREAD * ENTRY_SIZE / 4; + + let cache = Arc::new(make_cache(LIMIT)); + let mut handles = vec![]; + + for t in 0..THREADS { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..PER_THREAD { + c.insert(Key::new(format!("t{t}:k{i}")), vec![t as u8], ENTRY_SIZE); + } + })); + } + for h in handles { h.join().unwrap(); } + + let s = cache.stats(); + assert!(s.used_bytes <= LIMIT, "used_bytes={} > limit={}", s.used_bytes, LIMIT); + let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); + assert_eq!(map_total, s.used_bytes); + } + + #[test] + fn concurrent_reads_and_writes_no_panic() { + let cache = Arc::new(make_cache(200)); + let mut handles = vec![]; + for t in 0..4usize { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..500 { + c.insert(Key::new(format!("k{}", i % 20)), vec![t as u8], 10); + } + })); + } + for _ in 0..4 { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..500 { + let _ = c.get(&Key::new(format!("k{}", i % 20))); + } + })); + } + for h in handles { h.join().unwrap(); } + let s = cache.stats(); + assert!(s.used_bytes <= 200); + let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); + assert_eq!(map_total, s.used_bytes); + } + + #[test] + fn concurrent_insert_and_evict_by_prefix_consistent() { + let cache = Arc::new(make_cache(4096)); + let mut handles = vec![]; + for t in 0..3usize { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..300 { + c.insert(Key::new(format!("hot/t{t}:k{i}")), vec![], 10); + } + })); + } + for t in 0..3usize { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..300 { + c.insert(Key::new(format!("cold/t{t}:k{i}")), vec![], 10); + } + })); + } + for h in handles { h.join().unwrap(); } + cache.evict_by_prefix("hot/"); + for entry in cache.map.iter() { + assert!(!entry.key().0.starts_with("hot/")); + } + let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); + assert_eq!(map_total, cache.stats().used_bytes); + } + + #[test] + fn concurrent_insert_batch_consistent() { + const THREADS: usize = 8; + const LIMIT: usize = THREADS * 50 * 5 * 8 / 3; + let cache = Arc::new(make_cache(LIMIT)); + let mut handles = vec![]; + for t in 0..THREADS { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for b in 0..50usize { + let batch = (0..5usize).map(|i| { + (Key::new(format!("t{t}:b{b}:i{i}")), vec![t as u8], 8) + }); + c.insert_batch(batch); + } + })); + } + for h in handles { h.join().unwrap(); } + let s = cache.stats(); + assert!(s.used_bytes <= LIMIT); + let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); + assert_eq!(map_total, s.used_bytes); + } + + #[test] + fn concurrent_set_limit_and_inserts_consistent() { + let cache = Arc::new(make_cache(1000)); + let mut handles = vec![]; + for t in 0..4usize { + let c = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for i in 0..400 { + c.insert(Key::new(format!("t{t}:k{i}")), vec![], 10); + } + })); + } + let c2 = Arc::clone(&cache); + handles.push(std::thread::spawn(move || { + for _ in 0..20 { + c2.set_limit(200); + std::hint::spin_loop(); + c2.set_limit(1000); + } + })); + for h in handles { h.join().unwrap(); } + let limit = cache.limit_snapshot.load(Relaxed); + let s = cache.stats(); + assert!(s.used_bytes <= limit); + let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); + assert_eq!(map_total, s.used_bytes); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/column_schema_resolver.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/column_schema_resolver.rs new file mode 100644 index 0000000000000..984d387446dcb --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/column_schema_resolver.rs @@ -0,0 +1,114 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Predicate-column name → parquet leaf-index resolution. +//! +//! Resolution is done against the file's OWN schema (derived from the footer) +//! rather than the shared table schema to ensure correct leaf indices under +//! schema evolution (see [`resolve_predicate_parquet_columns`] for details). + +use std::collections::HashSet; +use std::sync::Arc; + +use arrow::datatypes::SchemaRef; +use datafusion::parquet::arrow::arrow_reader::statistics::StatisticsConverter; +use datafusion::parquet::file::metadata::ParquetMetaData; +use parquet::arrow::parquet_to_arrow_schema; + +/// Map the query's predicate-column names to **this file's** parquet leaf +/// indices, resolving against the file's OWN schema so the indices are correct +/// even when the file is missing columns (schema evolution). +/// +/// # Why the file's own schema, not the shared table schema +/// +/// `StatisticsConverter`/`parquet_column` map a column by finding its position in +/// the supplied arrow schema and then matching that position to a parquet leaf +/// (`get_column_root_idx`). The table schema is the **union** of all +/// files' columns [N]; a given file may physically contain fewer[M] (e.g. +/// the merged file has M leaves — the absent columns are all-null and not +/// written). Resolving against the N-field union therefore maps a column to the +/// WRONG leaf in a M-leaf file. We would then build +/// the scoped ColumnIndex/OffsetIndex at the wrong leaf and leave the real one an +/// empty placeholder — and DataFusion's pruner, which resolves against the file's +/// physical schema, reads the real leaf and panics on the empty `page_locations` +/// (`statistics.rs` `page_locations.last().unwrap()`). +/// +/// Deriving the arrow schema from the file footer (`parquet_to_arrow_schema`) +/// gives a 1:1 field↔leaf correspondence for that file, so the resolved index +/// matches what DataFusion dereferences. Columns absent from the file are skipped. +pub fn resolve_predicate_parquet_columns( + _arrow_schema: &SchemaRef, + metadata: &ParquetMetaData, + predicate_column_names: &[String], +) -> Vec { + let parquet_schema = metadata.file_metadata().schema_descr(); + // Per-file arrow schema: 1:1 with this file's parquet leaves, so a column's + // arrow position maps to its true leaf. (The passed `_arrow_schema` is the + // union table schema and is intentionally NOT used for index resolution — + // see the doc comment.) + let file_arrow_schema = match parquet_to_arrow_schema( + parquet_schema, + metadata.file_metadata().key_value_metadata(), + ) { + Ok(s) => Arc::new(s), + // If we can't derive the file schema (malformed footer, unsupported type), + // return empty. Empty is the safe conservative choice: the caller skips the + // scoped load and falls back to footer-only. + Err(_) => return vec![], + }; + resolve_with_schema(&file_arrow_schema, metadata, predicate_column_names) +} + +/// Resolve TWO name-sets (e.g. predicate columns and projection columns) against +/// the same file in one pass. Deriving the per-file arrow schema +/// (`parquet_to_arrow_schema`) is the dominant cost of name→leaf resolution on +/// wide schemas (it rebuilds the whole file's Schema); the two callers in the +/// indexed setup loop previously each rebuilt it, so doing it once here removes a +/// full schema reconstruction per file per query. Pure refactor — each returned +/// Vec is identical to calling `resolve_predicate_parquet_columns` separately. +pub fn resolve_predicate_parquet_columns_pair( + _union_schema: &SchemaRef, + metadata: &ParquetMetaData, + predicate_col_names: &[String], + projection_col_names: &[String], +) -> (Vec, Vec) { + let parquet_schema = metadata.file_metadata().schema_descr(); + match parquet_to_arrow_schema( + parquet_schema, + metadata.file_metadata().key_value_metadata(), + ) { + Ok(s) => { + let file_arrow_schema = Arc::new(s); + ( + resolve_with_schema(&file_arrow_schema, metadata, predicate_col_names), + resolve_with_schema(&file_arrow_schema, metadata, projection_col_names), + ) + } + // Can't derive the file schema — return empty for both sets. + Err(_) => (vec![], vec![]), + } +} + +/// Resolve predicate column names → parquet leaf indices against a specific arrow +/// schema, via the same `StatisticsConverter` mapping DataFusion's pruner uses. +pub(super) fn resolve_with_schema( + arrow_schema: &SchemaRef, + metadata: &ParquetMetaData, + predicate_column_names: &[String], +) -> Vec { + let parquet_schema = metadata.file_metadata().schema_descr(); + let mut set = HashSet::new(); + for name in predicate_column_names { + if let Ok(conv) = StatisticsConverter::try_new(name, arrow_schema, parquet_schema) { + if let Some(idx) = conv.parquet_column_index() { + set.insert(idx); + } + } + } + set.into_iter().collect() +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs new file mode 100644 index 0000000000000..3010b0b1bea09 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs @@ -0,0 +1,198 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Scoped parquet page-index caches — TWO caches, by consumer. +//! +//! # Why this exists +//! +//! Parquet metadata loading pulls the **entire page index** — `ColumnIndex` +//! (per-page min/max; the per-page *string* min/max is the heap hog) plus +//! `OffsetIndex` (per-page byte offsets), for every column of every row group. +//! On wide schemas this is very memory expensive. +//! The level-1 metadata cache is kept footer-only (see +//! [`crate::cache`]); this module rebuilds a *scoped* page index per query and +//! caches it, shared by both scan paths (the DataFusion `ListingTable` path and +//! the custom indexed-table executor). +//! +//! # Two caches, because the two indexes have different drivers +//! +//! The `ColumnIndex` and `OffsetIndex` are consumed by different parts of +//! DataFusion / parquet, with **different natural cache keys**. Forcing +//! them into one key makes the projection-driven OffsetIndex poison the +//! predicate-driven ColumnIndex's broad cross-path sharing (the failure mode of +//! the prior iteration). So they are split: +//! +//! - **ColumnIndex — predicate-driven.** Read only at *prune* time, and only for +//! the predicate column being evaluated +//! (`page_filter::PagesPruningStatistics`, `offset_index[rg][predicate_col]`). +//! Key: `(file, predicate_cols, surviving_rgs)`. Deterministic in the +//! *predicate* (independent of what you `SELECT`), so the same filter shares +//! its entry across scan paths **and** across queries with different +//! projections. This is the heavy index (string min/max) and the big heap win. +//! Scoped to predicate columns (`NONE` placeholders elsewhere) and, optionally, +//! to the row groups that pass footer-stats pruning ([`surviving_row_groups`]). +//! +//! - **OffsetIndex — projection-driven.** Read at *scan* time for **projected** +//! columns (`InMemoryRowGroup::fetch_ranges`, `projection.leaf_included(idx)`), +//! and at prune time for the predicate column, and at column 0 for the +//! page-skip metric. Key: `(file, projection_cols)` where +//! `projection_cols = predicate ∪ projection ∪ {0}`. This is the cheap, fixed-width +//! index (no per-page string stats). Built for **all row groups** (an empty +//! OffsetIndex on a row group DataFusion scans panics / breaks reads, and +//! DataFusion chooses the scanned set itself, after our load). +//! +//! Each cache stores only its decoded vector (`ParquetColumnIndex` / +//! `ParquetOffsetIndex`) — never a full `ParquetMetaData` (no footer +//! duplication). On lookup the two are **grafted** onto the caller's +//! already-resident footer via [`ParquetMetaData::into_builder`] → +//! `set_column_index`/`set_offset_index`. +//! +//! **Consequence for tests:** a lookup returns a *fresh* `Arc`, so `Arc::ptr_eq` +//! is the wrong signal for "served from cache" — assert via the per-cache hit +//! counters ([`column_index_cache_stats`] / [`offset_index_cache_stats`]). +//! +//! ## Correctness / fallback +//! +//! Any failure (file has no page index, a column lacks an index range, a +//! decode/IO error) makes the load return `None`. The caller keeps its +//! footer-only metadata and the pruner conservatively no-ops (scans the whole +//! row group) — never a wrong result. +//! +//! ## Upstream note +//! +//! arrow-rs is moving toward first-class selective metadata decoding +//! (apache/arrow-rs#8643 open; the `ParquetStatisticsPolicy::skip_except` pattern +//! merged in #8797 / #8714 for encoding stats). None yet expose a page-index +//! column/row-group projection, so we hand-roll it with the deprecated +//! [`read_columns_indexes`]/[`read_offset_indexes`] (the only public subset +//! decoders). Migrate to `ParquetMetaDataOptions` when it grows a page-index knob. + +pub mod cache_store; +pub mod cache_keys; +pub mod page_index_io; +pub mod column_schema_resolver; + +use cache_store::{BoundedCache, DEFAULT_SCOPED_CACHE_LIMIT}; +use crate::cache::eviction_policy::CacheEvictionPolicy; +use cache_keys::{CiCellKey, OiCellKey, OiColumn}; + +use datafusion::parquet::file::page_index::column_index::ColumnIndexMetaData; +use once_cell::sync::Lazy; +use std::sync::atomic::{AtomicBool, Ordering}; + +/// Process-global kill-switch for the scoped page-index feature. +/// When false, `metadata_cache::put` retains the full page index (fallback mode), +/// and the scoped optimizer/augmentation loops are no-ops. +/// Toggled via `datafusion.scoped_page_index.enabled` dynamic cluster setting. +pub(crate) static SCOPED_PAGE_INDEX_ENABLED: AtomicBool = AtomicBool::new(true); + +/// Returns true when the scoped page-index feature is enabled (default). +pub fn is_scoped_page_index_enabled() -> bool { + SCOPED_PAGE_INDEX_ENABLED.load(Ordering::Relaxed) +} + +/// Enable or disable the scoped page-index feature. Called from the Java settings consumer. +pub fn set_scoped_page_index_enabled(enabled: bool) { + SCOPED_PAGE_INDEX_ENABLED.store(enabled, Ordering::Relaxed); +} + +pub use cache_store::ScopedCacheStats; +pub use page_index_io::load_scoped_page_index_cols; +pub use column_schema_resolver::{ + resolve_predicate_parquet_columns, + resolve_predicate_parquet_columns_pair, +}; + +// Process-global caches + +pub(crate) static COLUMN_INDEX_CACHE: Lazy> = + Lazy::new(|| BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo)); + +pub(crate) static OFFSET_INDEX_CACHE: Lazy> = + Lazy::new(|| BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo)); + +/// Set the ColumnIndex cache's byte budget. Called from startup wiring with the +/// configured limit. Idempotent; shrinking evicts immediately. Zero ignored. +pub fn set_column_index_cache_limit(limit: usize) { + if limit > 0 { + COLUMN_INDEX_CACHE.set_limit(limit); + } +} + +/// Set the OffsetIndex cache's byte budget. Called from startup wiring with the +/// configured limit. Idempotent; shrinking evicts immediately. Zero ignored. +pub fn set_offset_index_cache_limit(limit: usize) { + if limit > 0 { + OFFSET_INDEX_CACHE.set_limit(limit); + } +} + +/// Counters + occupancy of the ColumnIndex (predicate-driven) cache. Lock-free. +pub fn column_index_cache_stats() -> ScopedCacheStats { + COLUMN_INDEX_CACHE.stats() +} + +/// Counters + occupancy of the OffsetIndex (projection-driven) cache. Lock-free. +pub fn offset_index_cache_stats() -> ScopedCacheStats { + OFFSET_INDEX_CACHE.stats() +} + +/// Drop all entries and reset counters in BOTH caches, keeping the budgets. For +/// operational testing — reset and re-measure without a cluster restart. +pub fn clear_scoped_cache() { + COLUMN_INDEX_CACHE.clear_keep_limit(); + OFFSET_INDEX_CACHE.clear_keep_limit(); +} + +/// Evict all page-index cells for a specific file from both caches. +/// +/// Called when a segment file is deleted or replaced so stale cells don't survive +/// in the cache under the same `(path, col, rg)` key. The page-index caches have +/// no freshness check (unlike the metadata cache's `is_valid_for`), so stale cells +/// from a re-written file would otherwise be served as hits — wrong data. +pub fn evict_file_from_scoped_cache(file_path: &str) { + COLUMN_INDEX_CACHE.evict_by_prefix(file_path); + OFFSET_INDEX_CACHE.evict_by_prefix(file_path); +} + +/// Crate-wide guard so every test that touches the process-global caches mutually +/// excludes (distinct fixtures alone aren't enough — the `InMemory` path is always +/// "data.parquet"). Shared (not per-module) so all cache users serialize. +#[cfg(test)] +pub(crate) static SCOPED_CACHE_TEST_GUARD: std::sync::Mutex<()> = std::sync::Mutex::new(()); + +/// Clear both caches AND restore the default limit on each. +#[cfg(test)] +pub(crate) fn clear_scoped_cache_for_test() { + COLUMN_INDEX_CACHE.clear_keep_limit(); + COLUMN_INDEX_CACHE.set_limit(DEFAULT_SCOPED_CACHE_LIMIT); + OFFSET_INDEX_CACHE.clear_keep_limit(); + OFFSET_INDEX_CACHE.set_limit(DEFAULT_SCOPED_CACHE_LIMIT); +} + +#[cfg(test)] +pub(crate) fn set_column_index_cache_limit_for_test(limit: usize) { + COLUMN_INDEX_CACHE.set_limit(limit); +} + +/// Combined view (sum of both caches) — test-only convenience for assertions that +/// only need "is the scoped machinery doing anything". Production code reads the +/// two caches separately ([`column_index_cache_stats`] / [`offset_index_cache_stats`]). +#[cfg(test)] +pub(crate) fn scoped_cache_stats() -> ScopedCacheStats { + let a = column_index_cache_stats(); + let b = offset_index_cache_stats(); + ScopedCacheStats { + hits: a.hits + b.hits, + misses: a.misses + b.misses, + evictions: a.evictions + b.evictions, + entries: a.entries + b.entries, + used_bytes: a.used_bytes + b.used_bytes, + limit_bytes: a.limit_bytes.max(b.limit_bytes), + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs new file mode 100644 index 0000000000000..201c146434497 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs @@ -0,0 +1,1459 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Page-index load entry points and their supporting internals. +//! +//! [`load_scoped_page_index_cols`] is the single public entry point — it loads +//! the ColumnIndex for predicate columns (all RGs) and the OffsetIndex for +//! projection columns, using the two process-global caches. + +use std::collections::{HashMap, HashSet}; +use std::mem; +use std::ops::Range; +use std::sync::Arc; + +use arrow::array::{ArrayRef, BooleanArray, UInt64Array}; +use arrow::datatypes::SchemaRef; +use datafusion::parquet::arrow::arrow_reader::statistics::StatisticsConverter; +use datafusion::parquet::errors::{ParquetError, Result as ParquetResult}; +use datafusion::parquet::file::metadata::{ + ColumnChunkMetaData, OffsetIndexBuilder, ParquetColumnIndex, ParquetMetaData, + ParquetOffsetIndex, +}; +use datafusion::parquet::file::page_index::column_index::ColumnIndexMetaData; +use datafusion::parquet::file::page_index::index_reader::{ + read_columns_indexes, read_offset_indexes, +}; +use datafusion::parquet::file::reader::{ChunkReader, Length}; +use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningStatistics}; +use datafusion::physical_expr::PhysicalExpr; +use datafusion::scalar::ScalarValue; +use object_store::ObjectStore; +use parquet::file::page_index::offset_index::OffsetIndexMetaData; +use prost::bytes::{buf, Buf, Bytes}; + +use super::cache_keys::{CiCellKey, OiCellKey, OiColumn}; +use super::{COLUMN_INDEX_CACHE, OFFSET_INDEX_CACHE}; + +/// Load + graft a scoped page index: ColumnIndex for `predicate_cols` (all RGs), +/// OffsetIndex for `projection_cols` (∪ predicate ∪ col 0). This is the single +/// production entry point used by both the listing path (`ScopedPageIndexReaderFactory`) +/// and the indexed executor augmentation loop. +pub async fn load_scoped_page_index_cols( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + predicate_cols: &[usize], + projection_cols: &[usize], +) -> Option> { + attach_scoped_page_index_to_metadata(store, location, footer_meta, predicate_cols, Some(projection_cols)).await +} + +async fn attach_scoped_page_index_to_metadata( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + predicate_cols: &[usize], + projection_cols: Option<&[usize]>, +) -> Option> { + // Nothing to build when both predicate_cols and projection_cols are empty/absent. + // An empty projection slice means "no specific projection" → treat as None (all columns). + let oi_proj = match projection_cols { + Some(p) if !p.is_empty() => Some(p), + _ => None, // empty or absent → OI covers all columns + }; + if predicate_cols.is_empty() && oi_proj.is_none() && projection_cols.is_some() { + // All empty — nothing to build. + return None; + } + // CI and OI IO run concurrently — wall time = max(ci, oi) not their sum. + let (ci_result, oi_result) = tokio::join!( + async { + if predicate_cols.is_empty() { + Some(None) + } else { + Some(Some(get_or_build_column_index(store, location, footer_meta, predicate_cols).await?)) + } + }, + get_or_build_offset_index(store, location, footer_meta, predicate_cols, oi_proj), + ); + let column_index = ci_result?; + let offset_index = oi_result?; + Some(graft(footer_meta, column_index, offset_index)) +} + +/// Build a fresh `ParquetMetaData` = `footer` with the page-index pair grafted +/// on. Clones the footer to get an owned value for the builder — but with +/// `ParquetMetaData.row_groups` held behind an `Arc` (see the arrow-rs change), +/// that clone is a refcount bump, not a deep copy of every row group's +/// column-chunk metadata. On wide / many-row-group files (e.g. textbench's +/// ~403-col, ~64-RG footers) that deep copy was ~60ms/query; sharing makes the +/// graft effectively free. +fn graft( + footer_meta: &Arc, + column_index: Option, + offset_index: ParquetOffsetIndex, +) -> Arc { + let base = ParquetMetaData::clone(footer_meta); + let rebuilt = base + .into_builder() + .set_column_index(column_index) + .set_offset_index(Some(offset_index)) + .build(); + Arc::new(rebuilt) +} + +// ── ColumnIndex cache lookup + build (per `(file, col, rg)` cell) ──────────── + +/// Assemble the full-width `[rg][col]` `ColumnIndex` matrix (real cells only at +/// `predicate_cols` × all RGs; `NONE` everywhere else) by looking up each +/// `(file, col, rg)` cell in the cache and decoding only the cells that miss. +/// +/// Each cell is keyed on `(file, col, rg)` and decoded once per file — reused +/// across every query that filters on the same column regardless of predicates. +async fn get_or_build_column_index( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + predicate_cols: &[usize], +) -> Option { + let num_rgs = footer_meta.num_row_groups(); + if num_rgs == 0 { + return None; + } + let num_cols = footer_meta.file_metadata().schema_descr().num_columns(); + + debug_assert!( + predicate_cols.iter().all(|&i| i < num_cols), + "predicate_cols contains out-of-bounds index (num_cols={num_cols}): {predicate_cols:?}" + ); + if predicate_cols.iter().any(|&i| i >= num_cols) { + return None; + } + + let build_rgs: Vec = (0..num_rgs).collect(); + let path: Arc = Arc::from(location.as_ref()); + + // Initially filled NONE for all RGs and all cols - as placeholders + let mut col_index_matrix: ParquetColumnIndex = (0..num_rgs) + .map(|_| (0..num_cols).map(|_| ColumnIndexMetaData::NONE).collect()) + .collect(); + + // Phase 1: serve every needed cell that is already cached; collect misses. + let mut missing_col_rg_matrix: Vec<(usize, usize)> = Vec::new(); // (col, rg) + for &rg in &build_rgs { + for &col in predicate_cols { + let key = CiCellKey { path: path.clone(), col, rg }; + match COLUMN_INDEX_CACHE.get(&key) { + Some(cell) => col_index_matrix[rg][col] = cell, + None => missing_col_rg_matrix.push((col, rg)), + } + } + } + // Phase 2: decode the missing cells (vectored fetch grouped by RG), place + // them in the matrix, and populate the cache. + // Use insert_batch so all cells from this query are inserted under a single + // write-lock acquisition — avoids per-cell lock overhead and runs eviction + // exactly once after the batch rather than once per cell. + if !missing_col_rg_matrix.is_empty() { + let built = build_column_index_cells(store, location, footer_meta, &missing_col_rg_matrix).await?; + + let batch = built.iter().map(|cell| { + debug_assert!( + cell.rg < col_index_matrix.len() && cell.col < col_index_matrix[cell.rg].len(), + "cell ({}, {}) out of matrix bounds ({num_rgs} rgs, {num_cols} cols)", + cell.col, cell.rg, + ); + (CiCellKey { path: path.clone(), col: cell.col, rg: cell.rg }, cell.data.clone(), cell.size) + }); + COLUMN_INDEX_CACHE.insert_batch(batch); + + for cell in built { + col_index_matrix[cell.rg][cell.col] = cell.data; + } + } + + Some(col_index_matrix) +} + +struct RgPlan { + rg: usize, + cols: Vec, + chunks: Vec, + range_start: u64, +} + +struct CiCell { + col: usize, + rg: usize, + data: ColumnIndexMetaData, + size: usize, +} + +struct OiCell { + col: usize, + data: OiColumn, + size: usize, +} + +/// Range-read + decode the requested `(col, rg)` ColumnIndex cells, grouping by +/// row group so each RG's columns share one vectored fetch + decode. `None` if +/// any requested column lacks a column-index range (→ footer-only fallback). +async fn build_column_index_cells( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + col_rg_matrix: &[(usize, usize)], +) -> Option> { + let mut by_rg: HashMap> = HashMap::new(); + for &(col, rg) in col_rg_matrix { + by_rg.entry(rg).or_default().push(col); + } + + let mut plans: Vec = Vec::with_capacity(by_rg.len()); + let mut fetch_ranges: Vec> = Vec::with_capacity(by_rg.len()); + for (rg, cols) in by_rg { + let rgm = footer_meta.row_group(rg); + let chunks: Vec = cols.iter().map(|&i| rgm.column(i).clone()).collect(); + let range = column_index_union(&chunks)?; + plans.push(RgPlan { rg, cols, chunks, range_start: range.start }); + fetch_ranges.push(range); + } + + let buffers = store.get_ranges(location, &fetch_ranges).await.ok()?; + if buffers.len() != fetch_ranges.len() { + return None; + } + + let mut out: Vec = Vec::with_capacity(col_rg_matrix.len()); + for (plan, buf) in plans.iter().zip(buffers.iter()) { + let reader = BufferChunkReader { base: plan.range_start, bytes: buf.clone() }; + // Deprecated but the only PUBLIC column-subset decoder (arrow-rs#8643). + #[allow(deprecated)] + let decoded = read_columns_indexes(&reader, &plan.chunks).ok()??; + if decoded.len() != plan.cols.len() { + return None; + } + let rgm = footer_meta.row_group(plan.rg); + for (entry, &col) in decoded.into_iter().zip(plan.cols.iter()) { + let size = rgm.column(col).column_index_length().unwrap_or(0).max(0) as usize; + out.push(CiCell { col, rg: plan.rg, data: entry, size }); + } + } + Some(out) +} + +// ── OffsetIndex cache lookup + build (per `(file, col)` cell, all RGs) ─────── + +/// Assemble the full-width `[rg][col]` `OffsetIndex` matrix (real entries only at +/// the resolved offset columns; empty placeholders elsewhere) from per-`(file, +/// col)` cells, decoding only the columns that miss. +/// +/// The resolved offset-column set is `predicate ∪ projection ∪ {0}` (`projection_cols +/// == None` → all columns); see [`OiCellKey`] for why each must be real. Each +/// cached cell is a column's OffsetIndex across **all** row groups, keyed only on +/// `(file, col)`, so it is decoded once per file and reused across every query +/// that reads that column irrespective of projection or predicate. +async fn get_or_build_offset_index( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + predicate_cols: &[usize], + projection_cols: Option<&[usize]>, +) -> Option { + let num_rgs = footer_meta.num_row_groups(); + if num_rgs == 0 { + return None; + } + let num_cols = footer_meta.file_metadata().schema_descr().num_columns(); + + // Resolve which columns need a real OffsetIndex: + // None → no explicit projection, read everything → all columns get a real entry. + // Some → build {col 0} ∪ predicate_cols ∪ proj_cols, clamped to num_cols. + // Col 0 is always included because the page-skip metric reads it + // regardless of what the query projects or filters on. + // Predicate-only queries (empty proj_cols) still get col 0 + predicate + // columns; projection-only queries get col 0 + projected columns. + let off_cols: Vec = match projection_cols { + None => (0..num_cols).collect(), + Some(proj_cols) => { + let mut set: HashSet = HashSet::new(); + set.insert(0); // page-skip metric always reads col 0 + for &c in predicate_cols { + set.insert(c); + } + for &c in proj_cols { + set.insert(c); + } + debug_assert!( + set.iter().all(|&c| c < num_cols), + "column index out of bounds (num_cols={num_cols}): {set:?}" + ); + set.into_iter().filter(|&c| c < num_cols).collect() + } + }; + if off_cols.is_empty() { + return None; + } + + let path: Arc = Arc::from(location.as_ref()); + // Placeholder for columns we don't build: a SINGLE page spanning the whole row + // group, NOT an empty page-locations list. A scoped OffsetIndex is grafted as a + // full-width `[rg][col]` matrix; consumers (DataFusion's page pruner, arrow's + // reader, our indexed pruner) index it by absolute column and dereference + // `page_locations` (`.last()`, `[0]`, `windows(2)`). An EMPTY placeholder + // panics those (`page_locations.last().unwrap()` etc.) if any path touches a + // column we scoped out — which is hard to predict across every query shape + // (count/agg, SingleCollector prefetch, schema-evolved files). A one-page + // placeholder is always safe to dereference and makes pruning conservatively + // keep the whole RG (1 page = all rows → can't prune), never a wrong result. + // + // The single page MUST carry the column chunk's REAL byte offset+size, not + // (0, 0). When a row selection actually READS a placeholdered column (e.g. a + // `match() | sort | head` that page-selects the projected columns), arrow + // derives the fetch byte range from this page location. A (0, 0) page makes + // arrow compute a range whose `end < start`, and the read path's + // `range.end - range.start` then underflows (`parquet_bridge.rs` get_byte_ranges + // → "subtract with overflow" / release "capacity overflow"). Spanning the real + // chunk extent (`byte_range()` = dictionary/data page start + compressed size) + // makes any derived range a valid full-chunk read — the one-page semantics are + // preserved (still "can't prune"), just with coordinates arrow can subtract. + let placeholder_for = |rg_idx: usize, col_idx: usize| -> OffsetIndexMetaData { + let rg = footer_meta.row_group(rg_idx); + let (col_start, col_len) = rg.column(col_idx).byte_range(); + let mut b = OffsetIndexBuilder::new(); + // compressed_page_size is i32; clamp the (already-bounded) chunk length so a + // pathologically large column can't wrap the cast. + let size = i32::try_from(col_len).unwrap_or(i32::MAX); + b.append_offset_and_size(col_start as i64, size); + b.append_row_count(rg.num_rows()); + b.build() + }; + // Each column chunk has its OWN byte offset, so the placeholder is per-(rg, col): + // unlike the earlier (0, 0) placeholder it cannot be shared across columns. The + // scoped columns get their real OffsetIndex scattered in afterward, overwriting + // these placeholders. + let mut matrix: ParquetOffsetIndex = (0..num_rgs) + .map(|rg| (0..num_cols).map(|col| placeholder_for(rg, col)).collect()) + .collect(); + + // Phase 1: serve cached columns; collect misses. + let mut missing: Vec = Vec::new(); + for &col in &off_cols { + let key = OiCellKey { path: path.clone(), col }; + match OFFSET_INDEX_CACHE.get(&key) { + Some(column) => scatter_offset_column(&mut matrix, col, &column), + None => missing.push(col), + } + } + + // Phase 2: decode the missing columns (each spanning all RGs), scatter into + // the matrix, and populate the cache. + // Use insert_batch: all missing OI columns for this query in one lock acquisition. + if !missing.is_empty() { + let built = build_offset_index_columns(store, location, footer_meta, &missing, num_rgs).await?; + + let batch = built.iter().map(|cell| { + (OiCellKey { path: path.clone(), col: cell.col }, cell.data.clone(), cell.size) + }); + OFFSET_INDEX_CACHE.insert_batch(batch); + + for cell in built { + scatter_offset_column_owned(&mut matrix, cell.col, cell.data); + } + } + + Some(matrix) +} + +/// Place a column's all-RG OffsetIndex (indexed by RG) into the matrix at `col`. +fn scatter_offset_column(matrix: &mut ParquetOffsetIndex, col: usize, column: &OiColumn) { + for (rg, entry) in column.iter().enumerate() { + if rg < matrix.len() { + matrix[rg][col] = entry.clone(); + } + } +} + +/// Consuming version of [`scatter_offset_column`] — used after inserting into +/// the cache so we move rather than clone the per-RG entries. +fn scatter_offset_column_owned(matrix: &mut ParquetOffsetIndex, col: usize, column: OiColumn) { + for (rg, entry) in column.into_iter().enumerate() { + if rg < matrix.len() { + matrix[rg][col] = entry; + } + } +} + +/// Range-read + decode the OffsetIndex for each requested column across **every** +/// row group (read-time safety — see [`OiCellKey`]). `None` if any column lacks +/// an offset-index range (→ footer-only fallback). +async fn build_offset_index_columns( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + cols: &[usize], + num_rgs: usize, +) -> Option> { + struct RgPlan { + chunks: Vec, + range_start: u64, + } + let mut plans: Vec = Vec::with_capacity(num_rgs); + let mut fetch_ranges: Vec> = Vec::with_capacity(num_rgs); + for rg_idx in 0..num_rgs { + let rg = footer_meta.row_group(rg_idx); + let chunks: Vec = cols.iter().map(|&i| rg.column(i).clone()).collect(); + let range = offset_index_union(&chunks)?; + plans.push(RgPlan { chunks, range_start: range.start }); + fetch_ranges.push(range); + } + + let buffers = store.get_ranges(location, &fetch_ranges).await.ok()?; + if buffers.len() != fetch_ranges.len() { + return None; + } + + // Per-column accumulator: one OiColumn slot per requested col, filled RG by RG. + let mut columns: Vec = cols.iter().map(|_| Vec::with_capacity(num_rgs)).collect(); + for (plan, buf) in plans.iter().zip(buffers.iter()) { + let reader = BufferChunkReader { base: plan.range_start, bytes: buf.clone() }; + #[allow(deprecated)] + let decoded = read_offset_indexes(&reader, &plan.chunks).ok()??; + if decoded.len() != cols.len() { + return None; + } + for (k, entry) in decoded.into_iter().enumerate() { + columns[k].push(entry); + } + } + + let mut out: Vec = Vec::with_capacity(cols.len()); + for (k, &col) in cols.iter().enumerate() { + let size = footer_meta + .row_groups() + .iter() + .map(|rg| rg.column(col).offset_index_length().unwrap_or(0).max(0) as usize) + .sum(); + out.push(OiCell { col, data: mem::take(&mut columns[k]), size }); + } + Some(out) +} + +/// Union of `column_index` byte ranges across the given column chunks. `None` if +/// any chunk lacks a column index (we require all predicate columns to have one, +/// else fall back to footer-only). +fn column_index_union(chunks: &[ColumnChunkMetaData]) -> Option> { + range_union(chunks, |c| { + let off = u64::try_from(c.column_index_offset()?).ok()?; + let len = u64::try_from(c.column_index_length()?).ok()?; + Some(off..off + len) + }) +} + +/// Union of `offset_index` byte ranges across the given column chunks. +fn offset_index_union(chunks: &[ColumnChunkMetaData]) -> Option> { + range_union(chunks, |c| { + let off = u64::try_from(c.offset_index_offset()?).ok()?; + let len = u64::try_from(c.offset_index_length()?).ok()?; + Some(off..off + len) + }) +} + +fn range_union( + chunks: &[ColumnChunkMetaData], + f: impl Fn(&ColumnChunkMetaData) -> Option>, +) -> Option> { + let mut acc: Option> = None; + for c in chunks { + let r = f(c)?; // any missing range → bail (caller falls back) + acc = Some(match acc { + None => r, + Some(a) => a.start.min(r.start)..a.end.max(r.end), + }); + } + acc +} + +/// A [`ChunkReader`] over an in-memory byte buffer representing the file region +/// `[base, base + bytes.len())`. The arrow-rs page-index readers call +/// `get_bytes(absolute_offset, len)`; we translate into the buffer. +struct BufferChunkReader { + base: u64, + bytes: Bytes, +} + +impl Length for BufferChunkReader { + fn len(&self) -> u64 { + self.base + self.bytes.len() as u64 + } +} + +impl ChunkReader for BufferChunkReader { + type T = buf::Reader; + + fn get_read(&self, start: u64) -> ParquetResult { + let rel = self.rel(start, 0)?; + Ok(self.bytes.slice(rel..).reader()) + } + + fn get_bytes(&self, start: u64, length: usize) -> ParquetResult { + let rel = self.rel(start, length)?; + Ok(self.bytes.slice(rel..rel + length)) + } +} + +impl BufferChunkReader { + /// Translate an absolute file offset `start` to a buffer-relative index. + /// The fork's `read_columns_indexes`/`read_offset_indexes` call `get_bytes` + /// with absolute file offsets (from chunk metadata); `self.base` is the + /// absolute start of the fetched buffer, so `start - base` gives the + /// position within `self.bytes`. + fn rel(&self, start: u64, length: usize) -> ParquetResult { + let rel = start.checked_sub(self.base).ok_or_else(|| { + ParquetError::General(format!( + "page-index read offset {start} precedes buffer base {}", + self.base + )) + })?; + let rel = usize::try_from(rel) + .map_err(|e| ParquetError::General(format!("offset overflow: {e}")))?; + if rel + length > self.bytes.len() { + return Err(ParquetError::General(format!( + "page-index read [{rel}..{}) exceeds buffer of len {}", + rel + length, + self.bytes.len() + ))); + } + Ok(rel) + } +} +#[cfg(test)] +mod tests { + use super::*; + use super::super::{ + clear_scoped_cache_for_test, column_index_cache_stats, offset_index_cache_stats, + scoped_cache_stats, set_column_index_cache_limit_for_test, ScopedCacheStats, + SCOPED_CACHE_TEST_GUARD, + }; + use super::super::column_schema_resolver::{resolve_predicate_parquet_columns, resolve_predicate_parquet_columns_pair}; + use crate::indexed_table::page_pruner::{build_pruning_predicate, PagePruner}; + use arrow::array::{Int32Array, RecordBatch}; + use arrow::datatypes::{DataType, Field, Schema}; + use datafusion::common::ScalarValue; + use datafusion::logical_expr::Operator; + use datafusion::parquet::arrow::arrow_reader::{ + ArrowReaderMetadata, ArrowReaderOptions, RowSelection, RowSelector, + }; + use datafusion::parquet::arrow::ArrowWriter; + use datafusion::parquet::file::properties::{EnabledStatistics, WriterProperties}; + use datafusion::physical_expr::expressions::{BinaryExpr, Column as PhysColumn, Literal}; + use datafusion::physical_expr::PhysicalExpr; + use object_store::memory::InMemory; + use object_store::path::Path as ObjPath; + use object_store::{ObjectStoreExt, PutPayload}; + + use super::super::SCOPED_CACHE_TEST_GUARD as CACHE_TEST_GUARD; + + // ── fixtures + expr helpers ────────────────────────────────────────── + + /// 2 columns (`price`, `qty`), 32 rows, 1 row group, 4 pages of 8 rows. + fn two_col_parquet() -> (Bytes, SchemaRef) { + let schema = Arc::new(Schema::new(vec![ + Field::new("price", DataType::Int32, false), + Field::new("qty", DataType::Int32, false), + ])); + let prices: Vec = (0..32).collect(); + let qtys: Vec = (100..132).collect(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int32Array::from(prices)), Arc::new(Int32Array::from(qtys))], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(32) + .set_data_page_row_count_limit(8) + .set_write_batch_size(8) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + (Bytes::from(buf), schema) + } + + /// 4 row groups of 10 rows (`id` 0..40, `v` = id*2), page size 5. + fn four_rg_parquet() -> (Bytes, SchemaRef) { + let schema = Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int32, false), + Field::new("v", DataType::Int32, false), + ])); + let ids: Vec = (0..40).collect(); + let vs: Vec = (0..40).map(|x| x * 2).collect(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int32Array::from(ids)), Arc::new(Int32Array::from(vs))], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(10) + .set_data_page_row_count_limit(5) + .set_write_batch_size(5) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + (Bytes::from(buf), schema) + } + + /// 4 columns (2 int `n0`,`n1` + 2 wide string `s0`,`s1`), 1 RG, multiple pages. + fn wide4_parquet() -> (Bytes, SchemaRef) { + use arrow::array::StringArray; + let schema = Arc::new(Schema::new(vec![ + Field::new("n0", DataType::Int32, false), + Field::new("n1", DataType::Int32, false), + Field::new("s0", DataType::Utf8, false), + Field::new("s1", DataType::Utf8, false), + ])); + const ROWS: i32 = 256; + let n0: Vec = (0..ROWS).collect(); + let n1: Vec = (0..ROWS).collect(); + let s0: Vec = (0..ROWS).map(|r| format!("s0_{r:05}_padpadpad")).collect(); + let s1: Vec = (0..ROWS).map(|r| format!("s1_{r:05}_padpadpad")).collect(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(n0)), + Arc::new(Int32Array::from(n1)), + Arc::new(StringArray::from(s0)), + Arc::new(StringArray::from(s1)), + ], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(ROWS as usize) + .set_data_page_row_count_limit(32) + .set_write_batch_size(32) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + (Bytes::from(buf), schema) + } + + async fn stage(bytes: Bytes) -> (Arc, ObjPath) { + let store: Arc = Arc::new(InMemory::new()); + let loc = ObjPath::from("data.parquet"); + store.put(&loc, PutPayload::from_bytes(bytes)).await.unwrap(); + (store, loc) + } + + fn footer_only(bytes: &Bytes) -> Arc { + ArrowReaderMetadata::load(&bytes.clone(), ArrowReaderOptions::new().with_page_index(false)) + .unwrap() + .metadata() + .clone() + } + + fn full_index(bytes: &Bytes) -> Arc { + ArrowReaderMetadata::load(&bytes.clone(), ArrowReaderOptions::new().with_page_index(true)) + .unwrap() + .metadata() + .clone() + } + + fn col(name: &str, idx: usize) -> Arc { + Arc::new(PhysColumn::new(name, idx)) + } + fn lit_int(v: i32) -> Arc { + Arc::new(Literal::new(ScalarValue::Int32(Some(v)))) + } + fn pred(name: &str, idx: usize, op: Operator, v: i32) -> Arc { + Arc::new(BinaryExpr::new(col(name, idx), op, lit_int(v))) + } + fn kept(sel: &RowSelection) -> usize { + sel.iter().filter(|s| !s.skip).map(|s| s.row_count).sum() + } + fn ci() -> ScopedCacheStats { + column_index_cache_stats() + } + fn oi() -> ScopedCacheStats { + offset_index_cache_stats() + } + + fn read_selected_column( + bytes: &Bytes, + meta: &Arc, + leaf_col: usize, + selection: RowSelection, + ) -> std::result::Result, String> { + use datafusion::parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; + use datafusion::parquet::arrow::ProjectionMask; + + let arm = ArrowReaderMetadata::try_new(Arc::clone(meta), ArrowReaderOptions::new()) + .map_err(|e| format!("try_new metadata: {e}"))?; + let builder = ParquetRecordBatchReaderBuilder::new_with_metadata(bytes.clone(), arm); + let proj = ProjectionMask::leaves(builder.parquet_schema(), [leaf_col]); + let mut reader = builder + .with_row_groups(vec![0]) + .with_projection(proj) + .with_row_selection(selection) + .build() + .map_err(|e| format!("build reader: {e}"))?; + let mut out = Vec::new(); + while let Some(next) = reader.next() { + let batch = next.map_err(|e| format!("read batch: {e}"))?; + let a = batch + .column(0) + .as_any() + .downcast_ref::() + .ok_or("projected column was not Int32")?; + for i in 0..a.len() { + out.push(a.value(i)); + } + } + Ok(out) + } + + // ── baseline / correctness ──────────────────────────────────────────── + + #[tokio::test] + async fn footer_only_has_no_page_index() { + let (bytes, _schema) = two_col_parquet(); + let fo = footer_only(&bytes); + assert!(fo.column_index().is_none()); + assert!(fo.offset_index().is_none()); + } + + #[tokio::test] + async fn empty_column_set_returns_none() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, _schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + assert!(load_scoped_page_index_cols(&store, &loc, &fo, &[], &[]).await.is_none()); + assert_eq!(ci().entries, 0); + assert_eq!(oi().entries, 0); + } + + #[tokio::test] + async fn scoped_index_is_predicate_scoped_for_column_index() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + assert_eq!(cols, vec![0]); + + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let c = aug.column_index().unwrap(); + let o = aug.offset_index().unwrap(); + assert!(!matches!(c[0][0], ColumnIndexMetaData::NONE), "predicate col has real CI"); + assert!(matches!(c[0][1], ColumnIndexMetaData::NONE), "non-predicate col CI is NONE"); + assert!( + !o[0][0].page_locations().is_empty() && !o[0][1].page_locations().is_empty(), + "OffsetIndex real for every column (all-col default)" + ); + } + + // The pair-resolve must return exactly what two separate single-name resolves + // return — it only shares the per-file arrow-schema derivation, nothing else. + #[tokio::test] + async fn resolve_pair_equals_two_single_resolves() { + let (bytes, schema) = two_col_parquet(); + let fo = footer_only(&bytes); + let names_a = vec!["price".to_string()]; + let names_b = vec!["qty".to_string(), "price".to_string()]; + let mut single_a = resolve_predicate_parquet_columns(&schema, &fo, &names_a); + let mut single_b = resolve_predicate_parquet_columns(&schema, &fo, &names_b); + let (mut pair_a, mut pair_b) = + resolve_predicate_parquet_columns_pair(&schema, &fo, &names_a, &names_b); + single_a.sort_unstable(); single_b.sort_unstable(); + pair_a.sort_unstable(); pair_b.sort_unstable(); + assert_eq!(pair_a, single_a, "pair predicate result must match single"); + assert_eq!(pair_b, single_b, "pair projection result must match single"); + assert_eq!(pair_a, vec![0]); + assert_eq!(pair_b, vec![0, 1]); + } + + /// Regression: a match()-only query has NO residual predicate columns + /// (`parquet_cols` empty) but DOES project columns (`offset_cols` non-empty). + /// The scoped load must still build the OffsetIndex for the projected column + /// so the parquet reader fetches only matched-row pages, not whole chunks. + /// (Bug: the load short-circuited on empty `parquet_cols`, skipping the + /// OffsetIndex → reader over-read ~2.5× the bytes on `... | stats ... by URL`.) + #[tokio::test] + async fn projection_only_builds_offset_index_without_predicate() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, _schema) = two_col_parquet(); // price=col0, qty=col1 + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + + // No predicate columns; project qty (col 1). + let parquet_cols: Vec = vec![]; + let offset_cols: Vec = vec![1]; + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &parquet_cols, &offset_cols) + .await + .expect("projection-only load must produce grafted metadata (not None)"); + + // No predicate → no ColumnIndex grafted. + assert!(aug.column_index().is_none(), "no predicate → ColumnIndex absent"); + + // OffsetIndex must be real for the projected col (1) AND col 0 (loader + // always unions in {0}); other behavior unchanged. + let o = aug.offset_index().expect("OffsetIndex must be grafted"); + assert!(!o[0][1].page_locations().is_empty(), "projected col qty has real OffsetIndex"); + assert!(!o[0][0].page_locations().is_empty(), "col 0 OffsetIndex real (always unioned)"); + } + + #[tokio::test] + async fn scoped_pruning_matches_full_index() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let full = full_index(&bytes); + let pp = build_pruning_predicate(&pred("price", 0, Operator::GtEq, 20), schema.clone()).unwrap(); + let s = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, 0, None); + let f = PagePruner::new(&schema, full).prune_rg(&pp, 0, None); + assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept)); + assert_eq!(s.as_ref().map(kept), Some(16)); + } + + /// Schema-evolution fixture: a file whose physical layout is `[extra, price]` + /// (so `price` is parquet leaf **1**), 32 rows / 4 pages. Used to prove the + /// predicate→leaf resolution does NOT depend on a column's position in a wider + /// *union* schema. + fn evolved_extra_price_parquet() -> Bytes { + let schema = Arc::new(Schema::new(vec![ + Field::new("extra", DataType::Int32, false), + Field::new("price", DataType::Int32, false), + ])); + let extra: Vec = (1000..1032).collect(); + let prices: Vec = (0..32).collect(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int32Array::from(extra)), Arc::new(Int32Array::from(prices))], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(32) + .set_data_page_row_count_limit(8) + .set_write_batch_size(8) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + Bytes::from(buf) + } + + /// Regression for the schema-evolution wrong-count bug: when the query's + /// (union) schema lists `price` at a DIFFERENT position than the file's + /// physical layout, the predicate must still resolve to the file's TRUE leaf + /// and scoped pruning must match the full-index pruning. Previously the + /// resolver used the union-schema position, scoped the page index at the wrong + /// leaf, and the residual mis-pruned → over-count. + #[tokio::test] + async fn scoped_resolution_is_per_file_under_schema_evolution() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let bytes = evolved_extra_price_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + + // The UNION/table schema the query carries: `price` at position 0 — but in + // THIS file `price` is physically leaf 1 (after `extra`). + let union_schema: SchemaRef = Arc::new(Schema::new(vec![ + Field::new("price", DataType::Int32, false), + Field::new("qty", DataType::Int32, false), + Field::new("extra", DataType::Int32, false), + ])); + + // Must resolve to the file's TRUE leaf for `price` = 1, NOT the union + // position 0 (which is `extra` in this file). + let cols = resolve_predicate_parquet_columns(&union_schema, &fo, &["price".to_string()]); + assert_eq!(cols, vec![1], "price must resolve to its per-file leaf (1), not union pos 0"); + + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let full = full_index(&bytes); + // `price` pages: 0..8,8..16,16..24,24..32; `price >= 20` keeps the last two + // pages (rows 16..32 = 16 rows). Build the pruning predicate against the + // FILE schema (price at index 1) so the converter matches the data. + let file_schema: SchemaRef = Arc::new(Schema::new(vec![ + Field::new("extra", DataType::Int32, false), + Field::new("price", DataType::Int32, false), + ])); + let pp = build_pruning_predicate(&pred("price", 1, Operator::GtEq, 20), file_schema.clone()).unwrap(); + let s = PagePruner::new(&file_schema, Arc::clone(&aug)).prune_rg(&pp, 0, None); + let f = PagePruner::new(&file_schema, full).prune_rg(&pp, 0, None); + assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept), "scoped pruning must match full index"); + assert_eq!(s.as_ref().map(kept), Some(16)); + clear_scoped_cache_for_test(); + } + + /// Page pruning over a column-scoped index must be a SAFE SUPERSET of the + /// full-index pruning — never drop a row the full index would keep (that + /// would be an under-count / lost result). It MAY keep extra rows (the + /// residual mask drops them post-decode), so equality is NOT required and is + /// the wrong invariant. + /// + /// The hazard this guards: with the page index scoped to `price` only, `qty` + /// is a one-page non-panicking OffsetIndex placeholder with a `NONE` + /// ColumnIndex. If the pruner TRUSTED that placeholder's (absent) stats it + /// would build a bogus single-page grid for `qty` and could mis-prune. The + /// `page_pruner` fix treats a `NONE`-ColumnIndex column as "no usable stats" + /// (like a schema-evolution-absent column) → it contributes "unknown" and + /// never prunes on `qty`, so the scoped result stays a conservative superset. + #[tokio::test] + async fn scoped_pruning_is_safe_superset_with_placeholdered_residual_col() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + // price 0..32 (pages 0..8,8..16,16..24,24..32); qty 100..132 (pages + // 100..108,108..116,116..124,124..132). 1 RG, 4 pages each. + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + + // Scope the page index to `price` ONLY (mimics the predicate-scoped indexed + // path). `qty` therefore gets the one-page placeholder + NONE ColumnIndex. + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + assert_eq!(cols, vec![0]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let full = full_index(&bytes); + + // Residual references BOTH columns: price >= 16 (full keeps pages 2,3) AND + // qty <= 115 (full keeps pages 0,1) → full intersection prunes to 0 rows. + let price_ge = pred("price", 0, Operator::GtEq, 16); + let qty_le = pred("qty", 1, Operator::LtEq, 115); + let residual: Arc = + Arc::new(BinaryExpr::new(price_ge, Operator::And, qty_le)); + let pp = build_pruning_predicate(&residual, schema.clone()).unwrap(); + + let s_kept = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, 0, None).map(|s| kept(&s)); + let f_kept = PagePruner::new(&schema, full).prune_rg(&pp, 0, None).map(|s| kept(&s)); + // Superset invariant: scoped must keep AT LEAST what full keeps (never + // fewer). It keeps more here (16 vs 0) because it correctly cannot prune + // the placeholdered `qty` — that's safe; the residual mask removes the + // extras post-decode. A scoped result SMALLER than full would be the real + // bug (lost rows). `None` = "kept everything" (no pruning) = the maximal + // superset, also safe. + let s = s_kept.unwrap_or(usize::MAX); + let f = f_kept.unwrap_or(usize::MAX); + assert!( + s >= f, + "scoped page pruning must be a safe superset of full ({} kept) but kept fewer ({})", + f, s + ); + clear_scoped_cache_for_test(); + } + + #[tokio::test] + async fn scoped_index_reads_non_predicate_projected_column() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); + let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); + let full = full_index(&bytes); + let full_vals = read_selected_column(&bytes, &full, 1, selection).unwrap(); + let expected: Vec = (116..132).collect(); + assert_eq!(scoped_vals, expected); + assert_eq!(scoped_vals, full_vals); + } + + // ── cache behavior: hits, independence, eviction ────────────────────── + + /// Second identical load is a pure hit in BOTH caches; no new cells/bytes. + /// Cells: predicate `price` → 1 CI cell `(col0,rg0)`; all-column OffsetIndex + /// (the default) → 2 OI cells (one per column). + #[tokio::test] + async fn second_load_is_cache_hit() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let (c1, o1) = (ci(), oi()); + assert_eq!((c1.hits, c1.misses, c1.entries), (0, 1, 1), "1 CI cell (price,rg0)"); + assert_eq!((o1.hits, o1.misses, o1.entries), (0, 2, 2), "2 OI cells (col0,col1)"); + assert!(c1.used_bytes > 0 && o1.used_bytes > 0); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let (c2, o2) = (ci(), oi()); + assert_eq!((c2.hits, c2.misses, c2.entries, c2.used_bytes), (1, 1, 1, c1.used_bytes)); + assert_eq!((o2.hits, o2.misses, o2.entries, o2.used_bytes), (2, 2, 2, o1.used_bytes)); + } + + /// Distinct predicate columns → distinct CI cells, but the OffsetIndex column + /// cells are SHARED. Both loads default to the all-column OffsetIndex, so the + /// second load re-reads the SAME 2 OI cells from cache (no new cells). This is + /// the whole point of cell-keying: a column's index is stored once per file. + #[tokio::test] + async fn distinct_predicates_share_offset_index() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let c_qty = resolve_predicate_parquet_columns(&schema, &fo, &["qty".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + + assert_eq!(ci().entries, 2, "distinct predicate cells: (price,rg0) + (qty,rg0)"); + assert_eq!(oi().entries, 2, "all-column OffsetIndex: 2 column cells, shared"); + // Second (qty) load re-read the same 2 OI cells from cache. + assert_eq!(oi().hits, 2); + } + + /// The cell-keying payoff: a predicate that ADDS a column reuses the cell the + /// first predicate already decoded, instead of re-decoding it inside a new + /// set-keyed entry. `price` then `{price, qty}` → `price`'s cell is a HIT; only + /// `qty`'s cell is freshly decoded. (Under the old set-keyed cache this was a + /// full miss that re-decoded `price`.) + #[tokio::test] + async fn adding_predicate_column_reuses_existing_cell() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let c_both = resolve_predicate_parquet_columns( + &schema, + &fo, + &["price".to_string(), "qty".to_string()], + ); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses, ci().entries), (0, 1, 1), "price cell decoded"); + + // Predicate now covers {price, qty}: price's cell hits, qty's cell misses. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_both, &[]).await.unwrap(); + assert_eq!( + (ci().hits, ci().misses, ci().entries), + (1, 2, 2), + "price cell reused (hit); only qty cell freshly decoded" + ); + clear_scoped_cache_for_test(); + } + + /// Two predicates on the SAME column with DIFFERENT literals resolve to the + /// same `(file, col)` parquet column, so they share the one CI cell — predicate + /// *value* never multiplies cache entries. (`status>=400` vs `status>=100`.) + #[tokio::test] + async fn different_literals_same_column_share_cell() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + // Both predicates are on `price` (col 0) — only the literal differs, which + // never enters the cache key. + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + assert_eq!(ci().entries, 1, "same column → one cell regardless of literal"); + assert_eq!(ci().hits, 1); + clear_scoped_cache_for_test(); + } + + /// CI hit/miss accounting across two predicate-column sets. + #[tokio::test] + async fn stats_count_hits_and_misses() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let c_qty = resolve_predicate_parquet_columns(&schema, &fo, &["qty".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses), (0, 1)); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses), (1, 1)); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses), (1, 2)); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + let s = ci(); + assert_eq!((s.hits, s.misses, s.entries, s.evictions), (3, 2, 2, 0)); + } + + /// Byte-bounded LRU on the (now cell-keyed) ColumnIndex cache: with the budget + /// sized to hold ~1.5 cells, loading two distinct column cells evicts the LRU + /// one; the cache never exceeds its limit and never degrades to "cache + /// nothing"; the most-recently-used cell survives. + #[tokio::test] + async fn lru_evicts_over_byte_budget() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let c_qty = resolve_predicate_parquet_columns(&schema, &fo, &["qty".to_string()]); + + // Measure one CI cell (predicate `price` = col0 at the single RG), then set + // a budget of ~1.5 cells so a second distinct cell forces an eviction. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let one_cell = ci().used_bytes; + assert!(one_cell > 0); + let budget = one_cell + one_cell / 2; + clear_scoped_cache_for_test(); + set_column_index_cache_limit_for_test(budget); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); // cell (col0) + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); // cell (col1) → evicts col0 + + assert!(ci().used_bytes <= budget, "CI bytes {} must stay within {}", ci().used_bytes, budget); + assert_eq!(ci().entries, 1, "only the most-recent cell fits"); + assert!(ci().evictions >= 1, "the LRU cell must have evicted"); + + // The most-recently-used cell (qty/col1) must still be a hit. + let hits_before = ci().hits; + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + assert_eq!(ci().hits, hits_before + 1, "MRU cell must remain cached"); + + clear_scoped_cache_for_test(); + } + + /// CI cells are keyed per `(file, col, rg)`. Loading a predicate column on a + /// 4-RG file caches 4 cells (one per RG); a repeat query hits all 4. + #[tokio::test] + async fn rg_scoped_key_includes_surviving_rgs() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = four_rg_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["id".to_string()]); + + // Cold: 4 RGs × 1 predicate col → 4 CI misses, 4 CI entries. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + assert_eq!((ci().misses, ci().entries), (4, 4), "4 RGs × col → 4 CI cells"); + + // Warm: all 4 cells hit, entry count unchanged. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().entries), (4, 4), "warm: all 4 cells hit"); + + // OI: empty projection → all 2 columns × 1 file → 2 OI entries. + assert_eq!(oi().entries, 2, "OI: 2 cols (all cols) × 1 file"); + clear_scoped_cache_for_test(); + } + + /// The combined payoff across BOTH axes: a second query that adds a new + /// predicate column AND scans a wider RG set decodes only the genuinely new + /// `(col, rg)` cells. Uses `wide4` (1 RG) for the column axis and asserts CI + /// cell-level hit/miss deltas. + #[tokio::test] + async fn new_column_combination_caches_only_new_column_cells() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = wide4_parquet(); // n0,n1,s0,s1 — 1 RG + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let c_n0 = resolve_predicate_parquet_columns(&schema, &fo, &["n0".to_string()]); + let c_n0_n1 = resolve_predicate_parquet_columns( + &schema, + &fo, + &["n0".to_string(), "n1".to_string()], + ); + let c_n1_s0 = resolve_predicate_parquet_columns( + &schema, + &fo, + &["n1".to_string(), "s0".to_string()], + ); + + // {n0}: 1 new cell. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses, ci().entries), (0, 1, 1)); + // {n0,n1}: n0 hits, n1 new. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0_n1, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses, ci().entries), (1, 2, 2), "n0 reused; n1 new"); + // {n1,s0}: n1 hits, s0 new. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n1_s0, &[]).await.unwrap(); + assert_eq!((ci().hits, ci().misses, ci().entries), (2, 3, 3), "n1 reused; s0 new"); + clear_scoped_cache_for_test(); + } + + /// OffsetIndex equivalent: different projections cache only the new column + /// cells. Project {s0} (offset cols n1∪s0∪{0}), then {s1} (offset cols + /// n1∪s1∪{0}) — the shared cols (0, n1) hit; only the genuinely new projected + /// column is decoded. + #[tokio::test] + async fn different_projections_cache_only_new_offset_columns() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = wide4_parquet(); // n0=0,n1=1,s0=2,s1=3 — 1 RG + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); + + // Project s0 (col 2): offset cols = {0, 1(n1), 2(s0)} → 3 new cells. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + assert_eq!((oi().hits, oi().misses, oi().entries), (0, 3, 3), "cols 0,1,2"); + + // Project s1 (col 3): offset cols = {0, 1, 3}. Cols 0 & 1 hit; col 3 new. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[3]).await.unwrap(); + assert_eq!( + (oi().hits, oi().misses, oi().entries), + (2, 4, 4), + "cols 0,1 reused (2 hits); only col 3 freshly decoded" + ); + clear_scoped_cache_for_test(); + } + + // ── Step 2: column-scoping the OffsetIndex ──────────────────────────── + + #[tokio::test] + async fn col_scoped_offset_index_only_for_requested_columns() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = wide4_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); + assert_eq!(pred_cols, vec![1]); + + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + let o = aug.offset_index().unwrap(); + // wide4 has 256 rows / page-size 32 → real columns have multiple pages. + let full = full_index(&bytes); + let real_pages = full.offset_index().unwrap()[0][0].page_locations().len(); + assert!(real_pages > 1, "fixture should have multi-page columns"); + // Scoped columns (predicate 1 ∪ projection 2 ∪ metric 0) carry the REAL + // page index; the rest carry a single whole-RG placeholder page (non-empty + // so any consumer dereference is safe — never empty, which would panic). + for &c in &[0usize, 1, 2] { + assert_eq!(o[0][c].page_locations().len(), real_pages, "col {c} (pred/proj/metric) real OI"); + } + assert_eq!( + o[0][3].page_locations().len(), + 1, + "col 3 (scoped out) OI is a single-page placeholder, not real and not empty" + ); + } + + /// Regression: the single-page placeholder for a scoped-OUT column must carry + /// the column chunk's REAL byte offset + size — not (0, 0). A (0, 0) placeholder + /// makes arrow derive a fetch byte range with `end < start` when a row selection + /// actually reads that column (e.g. `match() | sort | head`), and the read path's + /// `range.end - range.start` then underflows ("subtract with overflow" in debug / + /// "capacity overflow" in release; see indexed_table/parquet_bridge.rs get_byte_ranges). + /// The placeholder page must span `[col_start, col_start + col_len)` so any range + /// derived from it is a valid full-chunk read. + #[tokio::test] + async fn placeholder_offset_index_spans_real_chunk_byte_range() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = wide4_parquet(); // n0,n1,s0,s1 — 1 RG, multi-page columns + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + // Scope to n1 (pred) + s0 (proj). Col 3 (s1) is scoped out → placeholder. + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + let o = aug.offset_index().unwrap(); + + // The scoped-out column's placeholder is a single page... + let ph_pages = o[0][3].page_locations(); + assert_eq!(ph_pages.len(), 1, "scoped-out col 3 must have a single placeholder page"); + let ph = &ph_pages[0]; + + // ...whose coordinates equal the real column chunk byte range from the footer. + let (col_start, col_len) = fo.row_group(0).column(3).byte_range(); + assert_eq!( + ph.offset as u64, col_start, + "placeholder page offset must be the real chunk start (not 0)" + ); + assert_eq!( + ph.compressed_page_size as u64, col_len, + "placeholder page size must be the real chunk compressed size (not 0)" + ); + assert!(col_start > 0 && col_len > 0, "fixture sanity: real chunk has non-zero offset+size"); + + // The byte range a reader derives from this page must NOT underflow: + // end (offset+size) >= start (offset). + let end = ph.offset as u64 + ph.compressed_page_size as u64; + assert!(end >= ph.offset as u64, "derived range must not underflow (end >= start)"); + assert_eq!(ph.first_row_index, 0, "single placeholder page starts at row 0"); + clear_scoped_cache_for_test(); + } + + #[tokio::test] + async fn col_scoped_reads_projected_non_predicate_column() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]).await.unwrap(); + let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); + let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); + let full = full_index(&bytes); + let full_vals = read_selected_column(&bytes, &full, 1, selection).unwrap(); + let expected: Vec = (116..132).collect(); + assert_eq!(scoped_vals, expected); + assert_eq!(scoped_vals, full_vals); + } + + #[tokio::test] + async fn col_scoping_reduces_offset_index_bytes() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = wide4_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]).await.unwrap(); + let all_cols = oi().used_bytes; + clear_scoped_cache_for_test(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + assert!(oi().used_bytes < all_cols, "col-scoped OI {} < all-col {}", oi().used_bytes, all_cols); + clear_scoped_cache_for_test(); + } + + /// Cell-keying makes OffsetIndex reuse automatic: an all-columns load caches + /// per-column cells, and a later column-scoped load whose set is covered by + /// those cells hits them — no new entries, no special "collapse to all-columns + /// sentinel" needed (the prior set-keyed design's mechanism). + #[tokio::test] + async fn col_scoping_full_coverage_collapses_to_all_columns_entry() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]).await.unwrap(); + assert_eq!(oi().entries, 2, "all-columns load caches 2 column cells"); + // Project {1}; union {0,1} = both columns, both already cached → 2 hits. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]).await.unwrap(); + assert_eq!(oi().entries, 2, "covered columns reuse their cells, no new entries"); + assert_eq!(oi().hits, 2); + clear_scoped_cache_for_test(); + } + + /// CI (all RGs) + OI column-scoped: both axes populated in one call. + #[tokio::test] + async fn fully_scoped_load_combines_both_axes() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = four_rg_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["id".to_string()]); + let proj_cols = resolve_predicate_parquet_columns(&schema, &fo, &["val".to_string()]); + + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &proj_cols) + .await + .unwrap(); + let c = aug.column_index().unwrap(); + // All 4 RGs built for the predicate column (id = col 0). + assert!(!matches!(c[0][0], ColumnIndexMetaData::NONE), "RG0 real CI"); + assert!(!matches!(c[2][0], ColumnIndexMetaData::NONE), "RG2 real CI"); + // CI: 4 RGs × 1 pred col = 4 cells; OI: {id(0), val(1)} × 1 file = 2 cells. + assert_eq!(ci().entries, 4, "4 RGs × 1 pred col"); + assert_eq!(oi().entries, 2, "2 proj cols × 1 file"); + clear_scoped_cache_for_test(); + } + + // ── Eviction on file deletion ───────────────────────────────────────────── + + /// Evicting a file removes ALL its CI and OI cells from the caches — + /// a subsequent load for the same path is a miss, not a stale hit. + #[tokio::test] + async fn evict_file_clears_all_cells_for_that_path() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + + // Warm: 1 CI cell (price,rg0) + 2 OI cells (col0, col1). + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]).await.unwrap(); + assert_eq!(ci().entries, 1); + assert_eq!(oi().entries, 2); + assert_eq!(ci().misses, 1); + + // Evict the file. + super::super::evict_file_from_scoped_cache(loc.as_ref()); + assert_eq!(ci().entries, 0, "CI cells must be gone after eviction"); + assert_eq!(oi().entries, 0, "OI cells must be gone after eviction"); + + // Reload — must be a miss, not a hit from stale cache. + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]).await.unwrap(); + assert_eq!(ci().misses, 2, "second load after eviction must be a cache miss"); + assert_eq!(ci().hits, 0, "no hits — eviction prevented serving stale data"); + + clear_scoped_cache_for_test(); + } + + /// Evicting file A does not remove cells for file B. Cross-file isolation. + #[tokio::test] + async fn evict_file_does_not_affect_other_files() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + let (bytes, schema) = two_col_parquet(); + let cols = resolve_predicate_parquet_columns(&schema, &footer_only(&bytes), &["price".to_string()]); + + // Stage two identical files at different paths. + let store_a: Arc = Arc::new(object_store::memory::InMemory::new()); + let loc_a = object_store::path::Path::from("file_a.parquet"); + let loc_b = object_store::path::Path::from("file_b.parquet"); + store_a.put(&loc_a, object_store::PutPayload::from_bytes(bytes.clone())).await.unwrap(); + store_a.put(&loc_b, object_store::PutPayload::from_bytes(bytes.clone())).await.unwrap(); + + let fo = footer_only(&bytes); + let _ = load_scoped_page_index_cols(&store_a, &loc_a, &fo, &cols, &[0, 1]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]).await.unwrap(); + assert_eq!(ci().entries, 2, "one CI cell per file"); + assert_eq!(oi().entries, 4, "two OI cells per file"); + + // Evict only file_a. + super::super::evict_file_from_scoped_cache(loc_a.as_ref()); + assert_eq!(ci().entries, 1, "only file_a's CI cell removed"); + assert_eq!(oi().entries, 2, "only file_a's OI cells removed"); + + // file_b's cells are still hits. + let hits_before = ci().hits; + let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]).await.unwrap(); + assert_eq!(ci().hits, hits_before + 1, "file_b CI cell must still be cached"); + + clear_scoped_cache_for_test(); + } + +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/statistics_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs similarity index 91% rename from sandbox/plugins/analytics-backend-datafusion/rust/src/statistics_cache.rs rename to sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs index 2930dee08f3f2..8a84fb2c894e8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/statistics_cache.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs @@ -24,6 +24,8 @@ use std::sync::{Arc, Mutex}; use std::sync::atomic::{AtomicUsize, Ordering}; use std::fs::File; +use arrow_schema::SchemaRef; +use parquet::file::metadata::ParquetMetaData; /// Trait to calculate heap memory size for statistics objects trait HeapSize { @@ -125,8 +127,10 @@ struct MemoryState { pub struct CustomStatisticsCache { /// The underlying DataFusion statistics cache (DashMap-based, already thread-safe) inner_cache: DashMap, - /// The eviction policy (thread-safe) - policy: Arc>>, + /// Current eviction policy. `Mutex` guards atomic swaps in `set_policy`; + /// hot-path callers clone the `Arc` while holding the lock briefly, then call + /// through the clone without holding the lock. + policy: Mutex>, /// Size limit for the cache in bytes size_limit: AtomicUsize, /// Eviction threshold (0.0 to 1.0) @@ -144,7 +148,7 @@ impl CustomStatisticsCache { pub fn new(policy_type: PolicyType, size_limit: usize, eviction_threshold: f64) -> Self { Self { inner_cache: DashMap::new(), - policy: Arc::new(Mutex::new(create_policy(policy_type))), + policy: Mutex::new(create_policy(policy_type).expect("statistics cache requires Lru or Lfu")), size_limit: AtomicUsize::new(size_limit), eviction_threshold, memory_state: Arc::new(Mutex::new(MemoryState { @@ -195,17 +199,19 @@ impl CustomStatisticsCache { self.miss_count.store(0, Ordering::Relaxed); } + /// Clone the policy Arc without holding the Mutex. Hot-path callers use this + /// so they don't hold the lock while calling policy methods. + fn policy(&self) -> Arc { + self.policy.lock().unwrap_or_else(|e| e.into_inner()).clone() + } + /// Update the cache size limit pub fn update_size_limit(&self, new_limit: usize) -> CacheResult<()> { self.size_limit.store(new_limit, Ordering::Relaxed); let current_size = self.current_size()?; if current_size > new_limit { let target_eviction = current_size - (new_limit as f64 * self.eviction_threshold) as usize; - let candidates = { - if let Ok(policy_guard) = self.policy.lock() { - policy_guard.select_for_eviction(target_eviction) - } else { vec![] } - }; + let candidates = self.policy().select_for_eviction(target_eviction); for candidate_key in candidates { if let Ok(path) = self.parse_key_to_path(&candidate_key) { self.remove_internal(&path); @@ -215,7 +221,7 @@ impl CustomStatisticsCache { Ok(()) } - /// Switch to a different eviction policy + /// Switch to a different eviction policy, rebuilding state from current entries. pub fn set_policy(&self, policy_type: PolicyType) -> CacheResult<()> { let entries: Vec<(String, usize)> = { let state = self.memory_state.lock().map_err(|e| CacheError::PolicyLockError { @@ -223,23 +229,20 @@ impl CustomStatisticsCache { })?; state.tracker.iter().map(|(k, v)| (k.clone(), *v)).collect() }; - let mut policy_guard = self.policy.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire policy lock: {}", e), - })?; - let mut new_policy = create_policy(policy_type); + let new_policy = create_policy(policy_type).expect("statistics cache requires Lru or Lfu"); for (key, size) in entries { new_policy.on_insert(&key, size); } - *policy_guard = new_policy; + let mut guard = self.policy.lock().map_err(|e| CacheError::PolicyLockError { + reason: format!("Failed to acquire policy lock: {}", e), + })?; + *guard = new_policy; Ok(()) } /// Get current policy name pub fn policy_name(&self) -> CacheResult { - let policy_guard = self.policy.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire policy lock: {}", e), - })?; - Ok(policy_guard.policy_name().to_string()) + Ok(self.policy().policy_name().to_string()) } /// Get current cache size according to policy (uses actual memory consumption) @@ -252,16 +255,10 @@ impl CustomStatisticsCache { self.size_limit.load(Ordering::Relaxed) } - /// Manually trigger eviction (requires &mut self) + /// Manually trigger eviction. pub fn evict(&mut self, target_size: usize) -> CacheResult { if target_size == 0 { return Ok(0); } - - let candidates = { - let policy_guard = self.policy.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire policy lock: {}", e), - })?; - policy_guard.select_for_eviction(target_size) - }; + let candidates = self.policy().select_for_eviction(target_size); let mut freed_size = 0; for key in candidates { @@ -279,9 +276,7 @@ impl CustomStatisticsCache { state.tracker.remove(&key); state.total = state.total.saturating_sub(entry_size); } - if let Ok(mut policy_guard) = self.policy.lock() { - policy_guard.on_remove(&key); - } + self.policy().on_remove(&key); freed_size += entry_size; } if freed_size >= target_size { break; } @@ -322,9 +317,7 @@ impl CustomStatisticsCache { state.total = state.total.saturating_sub(old_size); } } - if let Ok(mut policy_guard) = self.policy.lock() { - policy_guard.on_remove(&key); - } + self.policy().on_remove(&key); } result.map(|x| x.1) } @@ -347,9 +340,7 @@ impl CustomStatisticsCache { let state = self.memory_state.lock(); state.map(|s| s.tracker.get(&key).copied().unwrap_or(0)).unwrap_or(0) }; - if let Ok(mut policy_guard) = self.policy.lock() { - policy_guard.on_access(&key, memory_size); - } + self.policy().on_access(&key, memory_size); } else { self.miss_count.fetch_add(1, Ordering::Relaxed); } @@ -370,9 +361,7 @@ impl CustomStatisticsCache { let threshold = (size_limit as f64 * self.eviction_threshold) as usize; if current_size + memory_size > threshold { let target_eviction = (current_size + memory_size) - (size_limit as f64 * 0.6) as usize; - if let Ok(policy_guard) = self.policy.lock() { - policy_guard.select_for_eviction(target_eviction) - } else { vec![] } + self.policy().select_for_eviction(target_eviction) } else { vec![] } }; @@ -392,10 +381,7 @@ impl CustomStatisticsCache { state.total += memory_size; } - if let Ok(mut policy_guard) = self.policy.lock() { - policy_guard.on_insert(&key, memory_size); - } - + self.policy().on_insert(&key, memory_size); result } @@ -408,9 +394,7 @@ impl CustomStatisticsCache { state.total = state.total.saturating_sub(old_size); } } - if let Ok(mut policy_guard) = self.policy.lock() { - policy_guard.on_remove(&key); - } + self.policy().on_remove(&key); } result.map(|x| x.1) } @@ -429,7 +413,7 @@ impl CustomStatisticsCache { state.tracker.clear(); state.total = 0; } - if let Ok(mut policy_guard) = self.policy.lock() { policy_guard.clear(); } + self.policy().clear(); self.reset_stats(); } @@ -505,6 +489,21 @@ impl Default for CustomStatisticsCache { } } +/// Compute statistics from an already-loaded `ParquetMetaData` and schema. +/// +/// Avoids a second file/IO round-trip when the footer has already been fetched +/// (e.g. by `load_parquet_metadata` during metadata cache warming). The caller +/// is responsible for providing the correct Arrow schema derived from the same +/// metadata. +pub fn compute_parquet_statistics_from_metadata( + metadata: &ParquetMetaData, + schema: &SchemaRef, +) -> Result> { + use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; + let statistics = DFParquetMetadata::statistics_from_parquet_metadata(metadata, schema)?; + Ok(statistics) +} + /// Compute statistics from a parquet file using DataFusion's built-in functionality pub fn compute_parquet_statistics(file_path: &str) -> Result> { use datafusion::parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 3ec85a23b2f4e..e6578cc74bef3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -48,11 +48,12 @@ use crate::api::DataFusionRuntime; use crate::cache; use crate::datafusion_query_config::InternalSearch; use crate::custom_cache_manager::CustomCacheManager; -use crate::eviction_policy::PolicyType; +use crate::eviction_policy::CacheEvictionPolicy; use crate::runtime_manager::RuntimeManager; use crate::statistics_cache::CustomStatisticsCache; use datafusion::execution::cache::DefaultFilesMetadataCache; +use crate::cache::page_index; static TOKIO_RUNTIME_MANAGER: RwLock>> = RwLock::new(None); @@ -782,15 +783,14 @@ pub unsafe extern "C" fn df_create_cache( let eviction_type = str_from_raw(eviction_type_ptr, eviction_type_len) .map_err(|e| format!("df_create_cache: eviction_type: {}", e))?; - let policy_type = match eviction_type.to_uppercase().as_str() { - "LRU" => PolicyType::Lru, - "LFU" => PolicyType::Lfu, - _ => { - return Err(format!( - "df_create_cache: unsupported eviction type: {}", - eviction_type - )) - } + // Parse the eviction type string into the unified CacheEvictionPolicy enum. + // All four cache types share one enum — the per-cache match below enforces + // which policies are valid for each type. + let policy = match eviction_type.to_uppercase().as_str() { + "LRU" => CacheEvictionPolicy::Lru, + "LFU" => CacheEvictionPolicy::Lfu, + "FIFO" => CacheEvictionPolicy::Fifo, + _ => return Err(format!("df_create_cache: unsupported eviction type: {}", eviction_type)), }; // Safety: cache_manager_ptr must be a valid pointer from df_create_custom_cache_manager @@ -798,18 +798,36 @@ pub unsafe extern "C" fn df_create_cache( match cache_type { cache::CACHE_TYPE_METADATA => { + // METADATA uses DefaultFilesMetadataCache (has its own LRU); eviction + // type is accepted but not forwarded. let inner_cache = DefaultFilesMetadataCache::new(size_limit as usize); let metadata_cache = Arc::new(cache::MutexFileMetadataCache::new(inner_cache)); manager.set_file_metadata_cache(metadata_cache); } cache::CACHE_TYPE_STATS => { + if policy == CacheEvictionPolicy::Fifo { + return Err("df_create_cache: STATISTICS cache does not support FIFO eviction".to_string()); + } let stats_cache = Arc::new(CustomStatisticsCache::new( - policy_type, + policy, size_limit as usize, 0.8, )); manager.set_statistics_cache(stats_cache); } + cache::CACHE_TYPE_COLUMN_INDEX => { + // CI/OI use BoundedCache; eviction type must be FIFO. + if policy != CacheEvictionPolicy::Fifo { + return Err(format!("df_create_cache: COLUMN_INDEX cache only supports FIFO eviction, got {eviction_type}")); + } + manager.set_column_index_cache(size_limit as usize); + } + cache::CACHE_TYPE_OFFSET_INDEX => { + if policy != CacheEvictionPolicy::Fifo { + return Err(format!("df_create_cache: OFFSET_INDEX cache only supports FIFO eviction, got {eviction_type}")); + } + manager.set_offset_index_cache(size_limit as usize); + } _ => { return Err(format!( "df_create_cache: invalid cache type: {}", @@ -1360,7 +1378,7 @@ pub extern "C" fn df_set_column_index_cache_limit(size_limit: i64) -> i64 { if size_limit < 0 { return Err(format!("df_set_column_index_cache_limit: negative limit {}", size_limit)); } - // TODO(PR1): crate::cache::page_index::set_column_index_cache_limit(size_limit as usize); + page_index::set_column_index_cache_limit(size_limit as usize); Ok(0) } @@ -1372,16 +1390,25 @@ pub extern "C" fn df_set_offset_index_cache_limit(size_limit: i64) -> i64 { if size_limit < 0 { return Err(format!("df_set_offset_index_cache_limit: negative limit {}", size_limit)); } - // TODO(PR1): crate::cache::page_index::set_offset_index_cache_limit(size_limit as usize); + page_index::set_offset_index_cache_limit(size_limit as usize); Ok(0) } -/// Clear the process-global scoped page-index cache (drop entries + reset -/// counters, keep the budget). No-op stub until PR 1 merges. +/// Clear the process-global scoped page-index caches (drop entries + reset counters). #[ffm_safe] #[no_mangle] pub extern "C" fn df_clear_scoped_page_index_cache() -> i64 { - // TODO(PR1): crate::cache::page_index::clear_scoped_cache(); + page_index::clear_scoped_cache(); + Ok(0) +} + +/// Enable or disable the scoped page-index feature. +/// When disabled: metadata cache retains full page index (fallback mode). +/// When enabled (default): metadata cache strips page index; scoped caches handle it. +#[ffm_safe] +#[no_mangle] +pub extern "C" fn df_set_scoped_page_index_enabled(enabled: i64) -> i64 { + page_index::set_scoped_page_index_enabled(enabled != 0); Ok(0) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index 1aa8fda126289..cf133e049efc4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -67,15 +67,16 @@ use crate::indexed_table::table_provider::{ EvaluatorFactory, IndexedTableConfig, IndexedTableProvider, SegmentFileInfo, }; -use std::collections::{BTreeSet, HashMap}; +use std::collections::{HashMap, HashSet}; use std::fmt; use crate::api::ShardView; +use crate::cache::page_index; use crate::datafusion_query_config::DatafusionQueryConfig; use crate::indexed_table::bool_tree::residual_bool_to_physical_expr; use crate::indexed_table::metrics::StreamMetrics; use crate::indexed_table::page_pruner::{build_pruning_predicate, PagePruneMetrics, StatsPruneTree}; - +use crate::parquet_page_cache::{load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair}; /// Execute an indexed query. /// @@ -304,7 +305,7 @@ fn collect_predicate_column_indices(extraction: Option<&ExtractionResult>) -> Ve let Some(e) = extraction else { return vec![] }; let mut exprs = Vec::new(); collect_predicate_exprs(&e.tree, &mut exprs); - let mut indices = BTreeSet::new(); + let mut indices = HashSet::new(); for expr in &exprs { let _ = expr.apply(|node| { if let Some(col) = node.downcast_ref::() { @@ -315,6 +316,56 @@ fn collect_predicate_column_indices(extraction: Option<&ExtractionResult>) -> Ve } indices.into_iter().collect() } + +fn collect_predicate_column_names( + extraction: Option<&ExtractionResult>, + schema: &SchemaRef, +) -> Vec { + let Some(e) = extraction else { return vec![] }; + let mut exprs = Vec::new(); + collect_predicate_exprs(&e.tree, &mut exprs); + let mut names = HashSet::new(); + for expr in &exprs { + let _ = expr.apply(|node| { + if let Some(col) = node.downcast_ref::() { + if let Some(field) = schema.fields().get(col.index()) { + names.insert(field.name().to_string()); + } + } + Ok(TreeNodeRecursion::Continue) + }); + } + names.into_iter().collect() +} + +fn collect_plan_column_names(plan: &datafusion::logical_expr::LogicalPlan) -> Vec { + let mut names = HashSet::new(); + let _ = plan.apply(|node| { + // Output-schema columns of every node: this is what each node actually + // emits / reads. Critically this captures `SELECT *` (and any projection + // pushed into the scan), where no Projection expression lists the columns + // but every column is still read. Expression-only collection misses them, + // and a read column that gets only a placeholder OffsetIndex (instead of + // its real multi-page one) corrupts the page read: arrow decodes the whole + // column chunk as a single page → "output too small for decompressed data" + // (or, upstream, the (0,0)-page byte-range subtract underflow). + for field in node.schema().fields() { + names.insert(field.name().to_string()); + } + let _ = node.apply_expressions(|expr| { + let _ = expr.apply(|e| { + if let Expr::Column(col) = e { + names.insert(col.name().to_string()); + } + Ok(TreeNodeRecursion::Continue) + }); + Ok(TreeNodeRecursion::Continue) + }); + Ok(TreeNodeRecursion::Continue) + }); + names.into_iter().collect() +} + /// For a tree classified as `SingleCollector`, walk it to find the single /// Collector leaf and return its query bytes. fn single_collector_id(tree: &BoolNode) -> Option { @@ -558,6 +609,43 @@ mod tests { assert!(analyze_top_sort(&plan).is_none()); } + // ── collect_plan_column_names ───────────────────────────────────── + + /// Regression: `SELECT *` (and any scan that reads columns no Projection + /// expression names) must yield ALL output columns. The scoped page-index + /// load gives only these columns a REAL multi-page OffsetIndex; columns left + /// out get a single-page placeholder, which is fine for pruning but CORRUPTS + /// a real read — arrow decodes the whole chunk as one page ("output too small + /// for decompressed data"), or underflows the read byte range. The + /// `match() | sort | head` shape (q23) hit this: it reads every column but no + /// expression lists them. Collecting each plan node's OUTPUT SCHEMA fixes it. + #[test] + fn collect_plan_column_names_includes_select_star_columns() { + // No projection expressions name id/ts/v, but `SELECT *` reads all three. + let plan = build_logical_plan("SELECT * FROM t WHERE v = 0 ORDER BY ts"); + let mut names = collect_plan_column_names(&plan); + names.sort(); + assert_eq!( + names, + vec!["id".to_string(), "ts".to_string(), "v".to_string()], + "every read column (full output schema) must be collected, not just expression columns" + ); + } + + /// A narrow projection still collects exactly the columns the query touches + /// (projected `v` + filter `id` + sort `ts`) — the scoping benefit is retained. + #[test] + fn collect_plan_column_names_collects_projected_and_referenced() { + let plan = build_logical_plan("SELECT v FROM t WHERE id = 1 ORDER BY ts"); + let names = collect_plan_column_names(&plan); + for expected in ["v", "id", "ts"] { + assert!( + names.iter().any(|n| n == expected), + "expected column `{expected}` in collected names {names:?}" + ); + } + } + #[test] fn analyze_top_sort_returns_none_for_function_sort_key() { // `ORDER BY abs(v)` — leading sort key isn't a plain column. Catalog monotonicity @@ -924,6 +1012,40 @@ async unsafe fn execute_indexed_with_context_inner( let predicate_columns = collect_predicate_column_indices(extraction.as_ref()); + // Augment each segment's footer-only metadata with a scoped page index so + // the indexed PagePruner can page-prune. Both predicate (→ ColumnIndex) and + // projection (→ OffsetIndex) are wired — a match()-only query still needs a + // scoped OffsetIndex so the reader fetches only matched pages. + if page_index::is_scoped_page_index_enabled() { + let predicate_column_names = collect_predicate_column_names(extraction.as_ref(), &schema); + let projection_column_names = collect_plan_column_names(&logical_plan); + if !predicate_column_names.is_empty() || !projection_column_names.is_empty() { + for segment in segments.iter_mut() { + let (parquet_cols, offset_cols) = + resolve_predicate_parquet_columns_pair( + &schema, + &segment.metadata, + &predicate_column_names, + &projection_column_names, + ); + if parquet_cols.is_empty() && offset_cols.is_empty() { + continue; + } + if let Some(augmented) = load_scoped_page_index_cols( + &store, + &segment.object_path, + &segment.metadata, + &parquet_cols, + &offset_cols, + ) + .await + { + segment.metadata = augmented; + } + } + } + } + let factory: EvaluatorFactory = match classification { FilterClass::None => { // Predicate-only scan: page-pruned universe, residual applied in diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs index 5231187a694e2..a9661276f30d3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs @@ -24,10 +24,13 @@ use std::time::{Duration, Instant}; use datafusion::arrow::datatypes::SchemaRef; use datafusion::common::Result; -use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; +use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; use datafusion::datasource::physical_plan::parquet::{ ParquetAccessPlan, ParquetFileMetrics, ParquetFileReaderFactory, RowGroupAccess, }; +use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; +use datafusion::parquet::arrow::async_reader::ParquetObjectReader; +use datafusion::parquet::file::metadata::{PageIndexPolicy, ParquetMetaDataReader}; use datafusion::datasource::physical_plan::ParquetSource; use datafusion::execution::cache::cache_manager::FileMetadataCache; use datafusion::execution::object_store::ObjectStoreUrl; @@ -48,8 +51,18 @@ use prost::bytes::Bytes; // ── Parquet Metadata Loading ───────────────────────────────────────── -/// Load parquet metadata via DataFusion's `DFParquetMetadata`, consulting the -/// caller-supplied `FileMetadataCache`. +/// Load footer-only parquet metadata, consulting the caller-supplied cache. +/// +/// On a cache hit the cached (footer-only) metadata is returned with no IO. +/// On a cache miss we fetch with `PageIndexPolicy::Skip` — never fetching page +/// index bytes — then store the footer in the cache for future hits. +/// +/// Issues a `head()` to learn the file's size + last-modified. Callers that +/// already hold an authoritative [`ObjectMeta`] (e.g. from the listing snapshot +/// passed into a `ParquetFileReaderFactory`) should call +/// [`load_parquet_metadata_with_meta`] instead — the `head()` is a `File::open` +/// + `fstat` syscall per call on local stores, which adds up under repeated +/// per-file reader creation. pub async fn load_parquet_metadata( store: Arc, location: &object_store::path::Path, @@ -58,18 +71,75 @@ pub async fn load_parquet_metadata( let meta = store .head(location) .await - .map_err(|e| format!("object-store head {}: {}", location, e))?; + .map_err(|e| format!("object-store head {location}: {e}"))?; + load_parquet_metadata_with_meta(store, location, meta, metadata_cache).await +} + +/// Like [`load_parquet_metadata`] but uses a caller-supplied [`ObjectMeta`] +/// (size + last_modified) instead of issuing a `head()`. The cache validity +/// check ([`CachedFileMetadataEntry::is_valid_for`]) only consults `size` and +/// `last_modified`, both present in the listing's `ObjectMeta`, so no `head()` +/// is needed when the caller already has it. +pub async fn load_parquet_metadata_with_meta( + store: Arc, + location: &object_store::path::Path, + meta: object_store::ObjectMeta, + metadata_cache: Arc, +) -> std::result::Result<(SchemaRef, u64, Arc), String> { let size = meta.size; - let pq_meta = DFParquetMetadata::new(&*store, &meta) - .with_file_metadata_cache(Some(metadata_cache)) - .fetch_metadata() - .await - .map_err(|e| format!("load parquet metadata {}: {}", location, e))?; + // Cache hit — return footer-only metadata without any IO. + let pq_meta = if let Some(entry) = metadata_cache.get(location) { + if entry.is_valid_for(&meta) { + entry + .file_metadata + .as_any() + .downcast_ref::() + .map(|cached| Arc::clone(cached.parquet_metadata())) + } else { + None + } + } else { + None + }; + + // Cache miss — fetch metadata. When the scoped page-index cache is enabled, + // skip page index bytes (they are loaded lazily per-column by the scoped cache). + // When disabled (fallback mode), fetch the full page index so the metadata cache + // retains it and DataFusion's default page pruning path continues to work. + // Scoped enabled: skip page index bytes entirely (scoped cache handles it lazily). + // Scoped disabled (fallback): use Optional — reads page index if it falls within + // the same footer fetch range, without issuing a separate IO request for it. + let policy = if crate::cache::page_index::is_scoped_page_index_enabled() { + PageIndexPolicy::Skip + } else { + PageIndexPolicy::Optional + }; + let pq_meta = match pq_meta { + Some(m) => m, + None => { + let mut reader = ParquetObjectReader::new(Arc::clone(&store), location.clone()); + let fetched = Arc::new( + ParquetMetaDataReader::new() + .with_page_index_policy(policy) + .load_and_finish(&mut reader, size) + .await + .map_err(|e| format!("load parquet metadata {location}: {e}"))?, + ); + metadata_cache.put( + location, + CachedFileMetadataEntry::new( + meta, + Arc::new(CachedParquetMetaData::new(Arc::clone(&fetched))), + ), + ); + fetched + } + }; let file_meta = pq_meta.file_metadata(); let schema = parquet_to_arrow_schema(file_meta.schema_descr(), file_meta.key_value_metadata()) - .map_err(|e| format!("parquet_to_arrow_schema {}: {}", location, e))?; + .map_err(|e| format!("parquet_to_arrow_schema {location}: {e}"))?; Ok((Arc::new(schema), size, pq_meta)) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs index 0c3f7025965ed..5dcc974c09142 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs @@ -77,9 +77,13 @@ pub async fn build_segments( // RuntimeEnv that `infer_schema` uses below shares this data when // both are pointed at the same object location, so this isn't a // duplicated cold fetch in practice. - let (file_schema, size, pq_meta) = parquet_bridge::load_parquet_metadata( + // `meta` is the authoritative listing snapshot — pass it through so the + // footer load resolves from cache without a redundant `head()` syscall + // per segment. + let (file_schema, size, pq_meta) = parquet_bridge::load_parquet_metadata_with_meta( Arc::clone(&store), &meta.location, + meta.clone(), Arc::clone(&metadata_cache), ) .await diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 6bf408fc42206..9be338343fc81 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -25,9 +25,7 @@ pub mod api; pub mod cache; pub mod cancellation; pub mod cross_rt_stream; -pub mod custom_cache_manager; pub mod datafusion_query_config; -pub mod eviction_policy; pub mod executor; pub mod ffm; pub mod indexed_executor; @@ -50,7 +48,6 @@ pub mod shard_table_provider; pub mod runtime_manager; pub mod schema_coerce; pub mod session_context; -pub mod statistics_cache; pub mod udaf; pub mod udf; pub mod udwf; @@ -58,6 +55,14 @@ pub mod native_node_stats; pub mod search_stats; pub mod stats; pub mod task_monitors; +pub mod scoped_index_optimizer; +pub mod scoped_page_index_reader; + +// Path aliases — old module names still resolve unchanged. +pub use cache::statistics_cache; +pub use cache::eviction_policy; +pub use cache::custom_cache_manager; +pub use cache::page_index as parquet_page_cache; #[cfg(test)] mod spill_e2e_test; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs index c6b842639d1de..86534209dd2ad 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs @@ -625,7 +625,7 @@ mod tests { use super::*; use datafusion::execution::memory_pool::GreedyMemoryPool; use std::thread; - use std::time::Duration; + use std::time::{Duration, Instant}; fn make_global_pool(limit: usize) -> Arc { Arc::new(GreedyMemoryPool::new(limit)) @@ -1007,10 +1007,23 @@ mod tests { // The abort is async — the task future may not be dropped yet. // flush_cpu_runtime gives the runtime scheduling opportunities to - // process the abort and drop the future (freeing the sentinel). - flush_cpu_runtime(ctx_id); + // process the abort and drop the future (freeing the sentinel). A single + // flush is best-effort: it spawns a fixed number of yield tasks and + // returns once they finish, which under heavy parallel test load (a + // CPU-starved CI box running 1000+ tests against a 2-worker runtime) can + // race the runtime actually polling and dropping the aborted task. Poll + // the flush until the deferred drop is observed, bounded by a timeout so + // a genuine regression (flush never processes the drop) still fails. + let deadline = Instant::now() + Duration::from_secs(10); + while !dropped.load(Ordering::Acquire) && Instant::now() < deadline { + flush_cpu_runtime(ctx_id); + if dropped.load(Ordering::Acquire) { + break; + } + thread::sleep(Duration::from_millis(5)); + } - // After flush, the sentinel should have been dropped. + // After flushing, the sentinel must have been dropped. assert!( dropped.load(Ordering::Acquire), "sentinel must be dropped after flush — deferred drop was not processed" diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs new file mode 100644 index 0000000000000..dddcdbb767b6f --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs @@ -0,0 +1,425 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Physical optimizer rule that installs the scoped page-index reader factory on +//! **every** parquet scan in the plan — provider-agnostic. +//! +//! # Why a rule (not a TableProvider) +//! +//! The scoped page-index loader is a property of *how we read parquet*, not of +//! *which TableProvider* produced the scan. Wiring it into a specific provider +//! leaves other scan paths on DataFusion's default reader, which loads the full +//! all-column page index every query and caches none of it. +//! +//! This rule walks the physical plan, finds each parquet `DataSourceExec`, reads +//! the predicate already pushed onto its `ParquetSource`, derives the predicate +//! columns, and swaps in a [`ScopedPageIndexReaderFactory`] scoped to those +//! columns. It runs after DataFusion's own optimizers (which is when filter +//! pushdown has populated `ParquetSource::predicate`), so it works uniformly for +//! `ListingTable`, `ShardTableProvider`, and any future parquet provider. +//! +//! # Replace, do NOT skip-if-present +//! +//! DataFusion's `ParquetFormat::create_physical_plan` ALWAYS pre-installs its own +//! `CachedParquetFileReaderFactory` (the full all-column page-index loader). That +//! is exactly the factory we want to replace, so this rule does not skip a scan +//! just because a factory is already set. (A skip-if-present guard was the +//! original bug that made the end-to-end listing scan never use the scoped +//! reader.) The indexed path does not run this rule — it uses its own executor. +//! +//! # No-op cases (left exactly as DataFusion would run them) +//! +//! - A `DataSourceExec` that isn't parquet — skipped. +//! - A parquet scan with no predicate, or whose predicate references no file +//! columns — skipped (nothing to scope; the opener loads on demand as today). + +use std::sync::Arc; + +use datafusion::common::config::ConfigOptions; +use datafusion::common::tree_node::{Transformed, TreeNode}; +use datafusion::common::Result; +use datafusion::datasource::physical_plan::{FileSource, ParquetSource}; +use datafusion::datasource::source::DataSourceExec; +use datafusion::execution::cache::cache_manager::FileMetadataCache; +use datafusion::physical_expr::utils::collect_columns; +use datafusion::physical_optimizer::PhysicalOptimizerRule; +use datafusion::physical_plan::ExecutionPlan; +use datafusion_datasource::file_scan_config::{FileScanConfig, FileScanConfigBuilder}; +use object_store::ObjectStore; + +use crate::scoped_page_index_reader::ScopedPageIndexReaderFactory; + +/// Installs the scoped page-index reader factory on parquet scans. +/// +/// Carries the object store and shared metadata cache because a +/// `PhysicalOptimizerRule` has no access to the session; the caller constructs +/// it from the query's `RuntimeEnv`. +#[derive(Debug)] +pub struct ScopedPageIndexOptimizer { + store: Arc, + metadata_cache: Arc, +} + +impl ScopedPageIndexOptimizer { + pub fn new(store: Arc, metadata_cache: Arc) -> Self { + Self { store, metadata_cache } + } +} + +impl PhysicalOptimizerRule for ScopedPageIndexOptimizer { + fn optimize( + &self, + plan: Arc, + _config: &ConfigOptions, + ) -> Result> { + let rewritten = plan.transform_up(|node| { + let Some(dse) = node.downcast_ref::() else { + return Ok(Transformed::no(node)); + }; + let Some(config) = dse.data_source().as_ref().downcast_ref::() else { + return Ok(Transformed::no(node)); + }; + let Some(parquet) = (config.file_source().as_ref() as &dyn std::any::Any) + .downcast_ref::() + else { + return Ok(Transformed::no(node)); + }; + + let file_schema = config.file_schema(); + let predicate = parquet.filter(); + + // Predicate column NAMES — empty when there's no pushed-down filter. + let mut predicate_names: Vec = predicate + .as_ref() + .map(|p| { + let mut names: Vec = collect_columns(p) + .into_iter() + .map(|c| c.name().to_string()) + .filter(|n| file_schema.index_of(n).is_ok()) + .collect(); + names.sort(); + names.dedup(); + names + }) + .unwrap_or_default(); + + // Projected column NAMES — the file-schema columns this scan actually READS. + // + // We must derive these from the projection's underlying column references, NOT from + // the projected output field names. With expression push-down the projected schema can + // contain computed fields (e.g. `CASE WHEN status = 200 ...`) whose names are not in the + // file schema; those expressions still read the base column (`status`). Matching output + // field names against the file schema would drop `status`, leaving it without a real + // OffsetIndex — and a column that is read but only has the single-page placeholder OI + // corrupts the page decode ("provided output is too small for the decompressed data"). + // `ProjectionExprs::column_indices()` walks every projection expression and returns the + // referenced file-schema column indices, which is exactly the read set we must scope to. + let num_file_cols = file_schema.fields().len(); + let projection_names: Vec = match config.file_source().projection() { + Some(proj) => proj + .column_indices() + .into_iter() + .filter(|&i| i < num_file_cols) + .map(|i| file_schema.field(i).name().to_string()) + .collect(), + // No projection pushed → the scan reads every column. + None => Vec::new(), + }; + + // Only scope when there's something to scope to. A full-schema scan with no predicate + // gains nothing from scoping — skip it. A None projection (read-all) or a projection + // that already covers every column is not a strict subset. + let is_projected = !projection_names.is_empty() && projection_names.len() < num_file_cols; + if predicate_names.is_empty() && !is_projected { + return Ok(Transformed::no(node)); + } + // Pass empty projection when the scan reads all columns — the factory + // will build all-column OffsetIndex (existing behavior). + let projection_names = if is_projected { projection_names } else { Vec::new() }; + + // Build the scoped factory and reinstall the source. The predicate is + // retained for parity but not used for RG scoping (Step 1 builds an + // all-row-group, column-scoped page index — see the reader's docs). + let factory = Arc::new(ScopedPageIndexReaderFactory::new( + Arc::clone(&self.store), + Arc::clone(&self.metadata_cache), + predicate_names, + projection_names, + predicate, + Arc::clone(file_schema), + )); + let new_source = parquet.clone().with_parquet_file_reader_factory(factory); + let new_config = FileScanConfigBuilder::from(config.clone()) + .with_source(Arc::new(new_source)) + .build(); + let new_dse: Arc = DataSourceExec::from_data_source(new_config); + Ok(Transformed::yes(new_dse)) + })?; + Ok(rewritten.data) + } + + fn name(&self) -> &str { + "ScopedPageIndexOptimizer" + } + + /// We swap a reader factory only; the scan's output schema is unchanged. + fn schema_check(&self) -> bool { + true + } +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::datatypes::{DataType, Field, Schema}; + use datafusion::execution::cache::DefaultFilesMetadataCache; + use datafusion::execution::object_store::ObjectStoreUrl; + use datafusion::logical_expr::Operator; + use datafusion::physical_expr::expressions::{lit, BinaryExpr, Column}; + use datafusion::physical_expr::PhysicalExpr; + use datafusion_datasource::table_schema::TableSchema; + use object_store::memory::InMemory; + use crate::cache::page_index; + use crate::parquet_page_cache::{clear_scoped_cache_for_test, scoped_cache_stats}; + + fn schema() -> Arc { + Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + ])) + } + + fn deps() -> (Arc, Arc) { + ( + Arc::new(InMemory::new()), + Arc::new(DefaultFilesMetadataCache::new(64 * 1024 * 1024)), + ) + } + + fn datasource_exec(parquet: ParquetSource) -> Arc { + let config = + FileScanConfigBuilder::new(ObjectStoreUrl::local_filesystem(), Arc::new(parquet)).build(); + DataSourceExec::from_data_source(config) + } + + fn predicate_on_a() -> Arc { + Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Gt, + lit(5i32), + )) + } + + fn parquet_for(sch: &Arc) -> ParquetSource { + ParquetSource::new(TableSchema::new(sch.clone(), vec![])) + } + + fn get_factory(plan: &Arc) -> Option { + let dse = plan.downcast_ref::()?; + let cfg = (dse.data_source().as_ref() as &dyn std::any::Any) + .downcast_ref::()?; + let pq = (cfg.file_source().as_ref() as &dyn std::any::Any) + .downcast_ref::()?; + Some(pq.parquet_file_reader_factory().is_some()) + } + + #[test] + fn installs_factory_when_predicate_present() { + let sch = schema(); + let (store, cache) = deps(); + let parquet = parquet_for(&sch).with_predicate(predicate_on_a()); + let plan = datasource_exec(parquet); + assert_eq!(get_factory(&plan), Some(false), "precondition: no factory yet"); + + let rule = ScopedPageIndexOptimizer::new(store, cache); + let out = rule.optimize(plan, &ConfigOptions::default()).unwrap(); + assert_eq!( + get_factory(&out), + Some(true), + "optimizer must install a scoped reader factory when a predicate is present" + ); + } + + #[test] + fn noop_without_predicate_or_projection() { + let sch = schema(); + let (store, cache) = deps(); + // No predicate, no pushed projection — nothing to scope. + let plan = datasource_exec(parquet_for(&sch)); + let rule = ScopedPageIndexOptimizer::new(store, cache); + let out = rule.optimize(plan, &ConfigOptions::default()).unwrap(); + assert_eq!( + get_factory(&out), + Some(false), + "no predicate and no projection → nothing to scope → no factory installed" + ); + } + + /// A projection-only scan (no predicate pushed down) still needs a scoped + /// OffsetIndex so the parquet reader fetches only matched-row pages instead + /// of whole column chunks. The factory must be installed from the projected + /// schema even when `parquet.filter()` is `None`. + #[test] + fn installs_factory_for_projection_only_scan() { + use datafusion::parquet::arrow::ProjectionMask; + use datafusion_datasource::file_scan_config::FileScanConfigBuilder; + + let sch = schema(); // fields: a(0), b(1) + let (store, cache) = deps(); + + // Project only column `a` — no predicate. + let parquet = parquet_for(&sch); + let config = FileScanConfigBuilder::new( + ObjectStoreUrl::local_filesystem(), + Arc::new(parquet), + ) + .with_projection(Some(vec![0])) // project `a` only + .build(); + let plan = DataSourceExec::from_data_source(config); + + let rule = ScopedPageIndexOptimizer::new(store, cache); + let out = rule.optimize(plan, &ConfigOptions::default()).unwrap(); + assert_eq!( + get_factory(&out), + Some(true), + "projection-only scan must get a scoped factory for OffsetIndex scoping" + ); + } + + /// The rule REPLACES an already-installed factory when a predicate is present + /// (DataFusion's `ParquetFormat` always pre-installs its own). + #[test] + fn replaces_existing_default_factory() { + let sch = schema(); + let (store, cache) = deps(); + let pre = Arc::new(ScopedPageIndexReaderFactory::new( + Arc::clone(&store), + Arc::clone(&cache), + vec!["a".to_string()], + vec!["a".to_string()], + None, + sch.clone(), + )); + let parquet = parquet_for(&sch) + .with_predicate(predicate_on_a()) + .with_parquet_file_reader_factory(pre); + let plan = datasource_exec(parquet); + assert_eq!(get_factory(&plan), Some(true), "precondition: a factory is present"); + + let rule = ScopedPageIndexOptimizer::new(store, cache); + let out = rule.optimize(Arc::clone(&plan), &ConfigOptions::default()).unwrap(); + assert_eq!(get_factory(&out), Some(true), "scoped factory present after rule"); + assert!( + !Arc::ptr_eq(&plan, &out), + "rule must rewrite the scan to install the scoped factory, replacing the default" + ); + } + + /// End-to-end through a real `SessionContext` + stock `ListingTable`: write a + /// parquet file, register it, plan `SELECT s0 WHERE n1 >= k`, apply the rule, + /// execute, and assert (a) results are correct and (b) the shared scoped + /// page-index cache filled — proving the rule installs a working scoped reader + /// on the vanilla listing path. + #[tokio::test] + async fn end_to_end_listing_scan_fills_scoped_cache() { + use arrow::array::{Int32Array, StringArray}; + use arrow::record_batch::RecordBatch; + use datafusion::datasource::file_format::parquet::ParquetFormat; + use datafusion::datasource::listing::{ + ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl, + }; + use datafusion::parquet::arrow::ArrowWriter; + use datafusion::parquet::file::properties::{EnabledStatistics, WriterProperties}; + use datafusion::prelude::SessionContext; + use futures::StreamExt; + + // Serialize on the shared guard — this asserts on the global cache. + let _g = page_index::SCOPED_CACHE_TEST_GUARD + .lock() + .unwrap(); + crate::cache::page_index::clear_scoped_cache_for_test(); + + let sch = Arc::new(Schema::new(vec![ + Field::new("n0", DataType::Int32, false), + Field::new("n1", DataType::Int32, false), + Field::new("s0", DataType::Utf8, false), + Field::new("s1", DataType::Utf8, false), + ])); + const ROWS: i32 = 4096; + let n0: Vec = (0..ROWS).collect(); + let n1: Vec = (0..ROWS).collect(); + let s0: Vec = (0..ROWS).map(|r| format!("s0_{r:06}_padding_padding")).collect(); + let s1: Vec = (0..ROWS).map(|r| format!("s1_{r:06}_padding_padding")).collect(); + let batch = RecordBatch::try_new( + sch.clone(), + vec![ + Arc::new(Int32Array::from(n0)), + Arc::new(Int32Array::from(n1)), + Arc::new(StringArray::from(s0)), + Arc::new(StringArray::from(s1)), + ], + ) + .unwrap(); + + let dir = std::env::temp_dir().join(format!("scoped_e2e_{}", std::process::id())); + let _ = std::fs::create_dir_all(&dir); + let file_path = dir.join("data.parquet"); + { + let props = WriterProperties::builder() + .set_data_page_row_count_limit(256) + .set_write_batch_size(256) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let f = std::fs::File::create(&file_path).unwrap(); + let mut w = ArrowWriter::try_new(f, sch.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + } + + let ctx = SessionContext::new(); + let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); + let table_url = ListingTableUrl::parse(format!("file://{}", dir.to_str().unwrap())).unwrap(); + ctx.register_object_store(table_url.as_ref(), Arc::clone(&store)); + let listing_options = ListingOptions::new(Arc::new(ParquetFormat::new())) + .with_file_extension(".parquet") + .with_collect_stat(true); + let resolved = listing_options.infer_schema(&ctx.state(), &table_url).await.unwrap(); + let config = ListingTableConfig::new(table_url.clone()) + .with_listing_options(listing_options) + .with_schema(resolved); + let provider = Arc::new(ListingTable::try_new(config).unwrap()); + ctx.register_table("t", provider).unwrap(); + + // n1 >= 4080 keeps rows 4080..4096 (16 rows); project the non-predicate s0. + let df = ctx.sql("SELECT s0 FROM t WHERE n1 >= 4080").await.unwrap(); + let physical = df.create_physical_plan().await.unwrap(); + + let metadata_cache = ctx.runtime_env().cache_manager.get_file_metadata_cache(); + let rule = ScopedPageIndexOptimizer::new(Arc::clone(&store), metadata_cache); + let physical = rule.optimize(physical, &ConfigOptions::default()).unwrap(); + + let mut stream = + datafusion::physical_plan::execute_stream(physical, ctx.task_ctx()).unwrap(); + let mut rows = 0usize; + while let Some(b) = stream.next().await { + rows += b.unwrap().num_rows(); + } + + assert_eq!(rows, 16, "predicate n1>=4080 must keep 16 rows"); + + let stats = scoped_cache_stats(); + assert!( + stats.entries >= 1 && stats.used_bytes > 0, + "scoped cache must have filled on the listing path: {stats:?}" + ); + assert!(stats.misses >= 1, "first scan must register a scoped-cache miss: {stats:?}"); + + clear_scoped_cache_for_test(); + let _ = std::fs::remove_dir_all(&dir); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs new file mode 100644 index 0000000000000..d564b0ffac440 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs @@ -0,0 +1,403 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Scoped page-index reader factory for the **listing-table** scan path. +//! +//! # Why this exists +//! +//! The listing-table path (`ShardTableProvider` / vanilla `ListingTable`) uses +//! DataFusion's default reader factory, so when page pruning is enabled the +//! `ParquetOpener` loads the **entire** page index (`ColumnIndex` + `OffsetIndex` +//! for *every* column) of each surviving file, every query, and caches none of +//! it. On wide schemas the `ColumnIndex` (per-page string min/max) dominates the +//! native heap. +//! +//! This factory closes that gap using the unified scoped cache +//! ([`crate::cache::page_index`]). The seam is DataFusion's +//! [`ParquetFileReaderFactory`]: the `ParquetOpener` asks the reader for metadata +//! via `get_metadata`, and — per `opener::load_page_index` — if the returned +//! `ParquetMetaData` *already* carries a page index, the opener uses it and skips +//! the full, all-column load. So our reader's `get_metadata`: +//! +//! 1. loads footer-only metadata (shared metadata-cache hit — see +//! [`crate::indexed_table::parquet_bridge::load_parquet_metadata`]), then +//! 2. augments it with a page index scoped to the predicate columns via +//! [`crate::cache::page_index::load_scoped_page_index`] +//! (real `ColumnIndex` for predicate columns, real `OffsetIndex` for all +//! columns), and +//! 3. returns that augmented metadata. +//! +//! The scoped `(file, predicate-columns)` cache is shared with the indexed path, +//! so repeated queries reuse the decoded index across both scan paths. +//! +//! # Why all row groups (no RG scoping here) +//! +//! `ScopedPageIndexOptimizer` only swaps the reader factory; DataFusion still +//! selects which row groups to scan via its OWN RG-statistics pruning, and its +//! page-pruner + reader then dereference `column_index[rg][col]` / +//! `offset_index[rg][col]` for *its* chosen RGs — a set independent of anything +//! we could compute here. Leaving a placeholder entry on an RG DataFusion still +//! touches panics (`page_row_counts.first().unwrap()` on an empty `OffsetIndex`), +//! and its page-index gate is per-FILE (both indexes must be `Some`), so a +//! partial page index would lie to it. So the page index is built for ALL row +//! groups, column-scoped only — heap stays bounded because the heavy +//! `ColumnIndex` is scoped to predicate columns and only the cheap all-column +//! `OffsetIndex` spans every RG (and that is required for correctness at read +//! time anyway). +//! +//! # Fallback +//! +//! If there are no predicate columns, or scoped augmentation fails for a file +//! (no page index, decode/IO error), `get_metadata` returns the footer-only +//! metadata and the opener loads the page index on demand exactly as today — +//! correct, just without the scoping benefit for that file. Never a wrong result. + +use std::sync::Arc; + +use arrow::datatypes::SchemaRef; +use datafusion::datasource::physical_plan::parquet::{ParquetFileMetrics, ParquetFileReaderFactory}; +use datafusion::execution::cache::cache_manager::FileMetadataCache; +use datafusion::parquet::arrow::arrow_reader::ArrowReaderOptions; +use datafusion::parquet::arrow::async_reader::AsyncFileReader; +use datafusion::parquet::errors::ParquetError; +use datafusion::parquet::file::metadata::ParquetMetaData; +use datafusion::physical_expr::PhysicalExpr; +use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet; +use datafusion_datasource::PartitionedFile; +use futures::future::BoxFuture; +use futures::FutureExt; +use object_store::{ObjectStore, ObjectStoreExt}; +use prost::bytes::Bytes; + +use crate::cache::page_index::{load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair}; +use crate::indexed_table::parquet_bridge::load_parquet_metadata_with_meta; + +/// A [`ParquetFileReaderFactory`] that, on `get_metadata`, returns metadata whose +/// page index is scoped to the query's predicate columns. Data reads go straight +/// to the object store. +/// +/// Carries predicate column *names* + the file schema rather than pre-resolved +/// parquet indices: the reader resolves names → parquet leaf indices per file via +/// the same `resolve_predicate_parquet_columns` the indexed path uses, robust to +/// schema evolution across files (a column absent from one file is just skipped). +#[derive(Debug)] +pub struct ScopedPageIndexReaderFactory { + store: Arc, + metadata_cache: Arc, + /// File-column names referenced by the query predicate. Empty means "no + /// scoping" — `get_metadata` returns footer-only and the opener loads the + /// page index on demand as usual. + predicate_column_names: Arc>, + /// File-column names this scan PROJECTS (reads). Used to scope the + /// OffsetIndex to `predicate ∪ projection` instead of all columns. Empty = + /// fall back to all-column offsets (old behavior). + projection_column_names: Arc>, + /// The physical predicate (if any). Retained in the constructor signature for + /// parity with the indexed path, but intentionally NOT used for RG scoping + /// here (see module docs). + #[allow(dead_code)] + predicate: Option>, + /// File schema (no partition columns), for per-file column resolution. + file_schema: SchemaRef, +} + +impl ScopedPageIndexReaderFactory { + pub fn new( + store: Arc, + metadata_cache: Arc, + predicate_column_names: Vec, + projection_column_names: Vec, + predicate: Option>, + file_schema: SchemaRef, + ) -> Self { + Self { + store, + metadata_cache, + predicate_column_names: Arc::new(predicate_column_names), + projection_column_names: Arc::new(projection_column_names), + predicate, + file_schema, + } + } +} + +impl ParquetFileReaderFactory for ScopedPageIndexReaderFactory { + fn create_reader( + &self, + partition_index: usize, + file: PartitionedFile, + _metadata_size_hint: Option, + metrics: &ExecutionPlanMetricsSet, + ) -> datafusion::common::Result> { + let file_metrics = + ParquetFileMetrics::new(partition_index, file.object_meta.location.as_ref(), metrics); + Ok(Box::new(ScopedPageIndexReader { + store: Arc::clone(&self.store), + metadata_cache: Arc::clone(&self.metadata_cache), + predicate_column_names: Arc::clone(&self.predicate_column_names), + projection_column_names: Arc::clone(&self.projection_column_names), + file_schema: Arc::clone(&self.file_schema), + location: file.object_meta.location.clone(), + // Carry the listing's ObjectMeta so `get_metadata` resolves the footer + // from cache without a per-read `head()` syscall (see + // `load_parquet_metadata_with_meta`). + object_meta: file.object_meta.clone(), + metrics: file_metrics, + })) + } +} + +struct ScopedPageIndexReader { + store: Arc, + metadata_cache: Arc, + predicate_column_names: Arc>, + projection_column_names: Arc>, + file_schema: SchemaRef, + location: object_store::path::Path, + /// Listing-snapshot metadata (size + last_modified) for `location`. Used to + /// resolve footer metadata from cache without a `head()` syscall per read. + object_meta: object_store::ObjectMeta, + metrics: ParquetFileMetrics, +} + +impl AsyncFileReader for ScopedPageIndexReader { + fn get_bytes( + &mut self, + range: std::ops::Range, + ) -> BoxFuture<'_, datafusion::parquet::errors::Result> { + self.metrics.bytes_scanned.add((range.end - range.start) as usize); + let store = Arc::clone(&self.store); + let location = self.location.clone(); + // IO-runtime dispatch is handled by the store wrapper around the + // registered store, so a plain `.await` already runs on the IO runtime. + async move { + store + .get_range(&location, range) + .await + .map_err(|e| ParquetError::External(Box::new(e))) + } + .boxed() + } + + fn get_byte_ranges( + &mut self, + ranges: Vec>, + ) -> BoxFuture<'_, datafusion::parquet::errors::Result>> { + let total: u64 = ranges.iter().map(|r| r.end - r.start).sum(); + self.metrics.bytes_scanned.add(total as usize); + let store = Arc::clone(&self.store); + let location = self.location.clone(); + async move { + store + .get_ranges(&location, &ranges) + .await + .map_err(|e| ParquetError::External(Box::new(e))) + } + .boxed() + } + + fn get_metadata( + &mut self, + _options: Option<&ArrowReaderOptions>, + ) -> BoxFuture<'_, datafusion::parquet::errors::Result>> { + let store = Arc::clone(&self.store); + let metadata_cache = Arc::clone(&self.metadata_cache); + let predicate_names = Arc::clone(&self.predicate_column_names); + let projection_names = Arc::clone(&self.projection_column_names); + let file_schema = Arc::clone(&self.file_schema); + let location = self.location.clone(); + let object_meta = self.object_meta.clone(); + async move { + // 1. Footer-only metadata (shared metadata-cache hit if pre-seeded). + // Use the listing's ObjectMeta rather than a `head()` — the cache + // validity check only needs size + last_modified, both already known. + let (_schema, _size, footer) = load_parquet_metadata_with_meta( + Arc::clone(&store), + &location, + object_meta, + Arc::clone(&metadata_cache), + ) + .await + .map_err(|e| ParquetError::General(format!("footer metadata {location}: {e}")))?; + + // 2. Resolve predicate + projection names → parquet leaf indices, then + // augment with a column-scoped page index. Gated on either being + // non-empty: a projection-only query still needs a scoped OffsetIndex. + if !predicate_names.is_empty() || !projection_names.is_empty() { + let (parquet_cols, offset_cols) = resolve_predicate_parquet_columns_pair( + &file_schema, &footer, &predicate_names, &projection_names, + ); + if let Some(augmented) = load_scoped_page_index_cols( + &store, + &location, + &footer, + &parquet_cols, + &offset_cols, + ) + .await + { + return Ok(augmented); + } + } + + Ok(footer) + } + .boxed() + } +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::array::{Int32Array, RecordBatch}; + use arrow::datatypes::{DataType, Field, Schema}; + use datafusion::parquet::arrow::ArrowWriter; + use datafusion::parquet::file::page_index::column_index::ColumnIndexMetaData; + use datafusion::parquet::file::properties::{EnabledStatistics, WriterProperties}; + use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet; + use object_store::memory::InMemory; + use object_store::path::Path as ObjPath; + use object_store::{ObjectStore, ObjectStoreExt, PutPayload}; + + // Shared crate-wide guard so all users of the one process-global scoped cache + // mutually exclude. + use crate::cache::page_index::SCOPED_CACHE_TEST_GUARD as SCOPED_TEST_GUARD; + + /// Two int columns (`price`, `qty`), one row group, four 8-row data pages. + fn two_col_parquet() -> (Bytes, SchemaRef) { + let schema = Arc::new(Schema::new(vec![ + Field::new("price", DataType::Int32, false), + Field::new("qty", DataType::Int32, false), + ])); + let prices: Vec = (0..32).collect(); + let qtys: Vec = (100..132).collect(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(prices)), + Arc::new(Int32Array::from(qtys)), + ], + ) + .unwrap(); + let props = WriterProperties::builder() + .set_max_row_group_size(32) + .set_data_page_row_count_limit(8) + .set_write_batch_size(8) + .set_statistics_enabled(EnabledStatistics::Page) + .build(); + let mut buf: Vec = Vec::new(); + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + w.write(&batch).unwrap(); + w.close().unwrap(); + (Bytes::from(buf), schema) + } + + async fn stage(bytes: Bytes) -> (Arc, ObjPath, u64) { + let size = bytes.len() as u64; + let store: Arc = Arc::new(InMemory::new()); + let loc = ObjPath::from("data.parquet"); + store.put(&loc, PutPayload::from_bytes(bytes)).await.unwrap(); + (store, loc, size) + } + + fn fresh_cache() -> Arc { + Arc::new(crate::cache::MutexFileMetadataCache::new( + datafusion::execution::cache::DefaultFilesMetadataCache::new(64 * 1024 * 1024), + )) + } + + fn metrics() -> ExecutionPlanMetricsSet { + ExecutionPlanMetricsSet::new() + } + + /// The factory's reader must, on `get_metadata`, return metadata whose page + /// index is scoped to the predicate column (`price`) — real ColumnIndex for + /// `price`, NONE placeholder for `qty` — while keeping a REAL OffsetIndex for + /// BOTH columns. Also fills the shared scoped cache. + #[tokio::test] + async fn get_metadata_returns_scoped_page_index() { + let _g = SCOPED_TEST_GUARD.lock().unwrap(); + crate::cache::page_index::clear_scoped_cache_for_test(); + + let (bytes, schema) = two_col_parquet(); + let (store, loc, size) = stage(bytes).await; + let factory = ScopedPageIndexReaderFactory::new( + Arc::clone(&store), + fresh_cache(), + vec!["price".to_string()], + // Project both columns so the OffsetIndex is built for both (this test + // asserts a real OffsetIndex for every column). + vec!["price".to_string(), "qty".to_string()], + None, + schema, + ); + let pf = PartitionedFile::new(loc.as_ref().to_string(), size); + let m = metrics(); + let mut reader = factory.create_reader(0, pf, None, &m).unwrap(); + + let meta = reader.get_metadata(None).await.unwrap(); + let ci = meta.column_index().expect("augmented metadata has column index"); + let oi = meta.offset_index().expect("augmented metadata has offset index"); + assert!( + !matches!(ci[0][0], ColumnIndexMetaData::NONE), + "predicate col (price) must have a real ColumnIndex" + ); + assert!( + matches!(ci[0][1], ColumnIndexMetaData::NONE), + "non-predicate col (qty) ColumnIndex must be a NONE placeholder" + ); + assert!( + !oi[0][0].page_locations().is_empty() && !oi[0][1].page_locations().is_empty(), + "OffsetIndex must be real for every column" + ); + + let stats = crate::cache::page_index::scoped_cache_stats(); + assert!(stats.entries >= 1 && stats.misses >= 1 && stats.used_bytes > 0); + + crate::cache::page_index::clear_scoped_cache_for_test(); + } + + /// No predicate columns → no scoping happens: `get_metadata` returns the + /// footer load as-is and the scoped cache is never touched. + /// + /// Note: we deliberately do NOT assert the returned metadata has no page + /// index. Until the base metadata-cache strip lands (Step 1e), the shared + /// `load_parquet_metadata` still loads the full page index when a metadata + /// cache is present (DataFusion's `PageIndexPolicy::Optional`). The invariant + /// this reader guarantees with no predicate is "no scoping", i.e. the scoped + /// cache stays empty — which holds before and after 1e. + #[tokio::test] + async fn get_metadata_no_predicate_does_not_scope() { + let _g = SCOPED_TEST_GUARD.lock().unwrap(); + crate::cache::page_index::clear_scoped_cache_for_test(); + + let (bytes, schema) = two_col_parquet(); + let (store, loc, size) = stage(bytes).await; + let factory = ScopedPageIndexReaderFactory::new( + Arc::clone(&store), + fresh_cache(), + vec![], + vec![], + None, + schema, + ); + let pf = PartitionedFile::new(loc.as_ref().to_string(), size); + let m = metrics(); + let mut reader = factory.create_reader(0, pf, None, &m).unwrap(); + + let _meta = reader.get_metadata(None).await.unwrap(); + let stats = crate::cache::page_index::scoped_cache_stats(); + assert_eq!( + (stats.entries, stats.misses, stats.hits), + (0, 0, 0), + "no predicate → scoped cache must be untouched" + ); + + crate::cache::page_index::clear_scoped_cache_for_test(); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index bfae9428738bf..87cedc085b2fb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -30,8 +30,10 @@ use log::error; use object_store::ObjectMeta; use crate::api::{DataFusionRuntime, ShardView}; +use crate::cache::page_index; use crate::datafusion_query_config::DatafusionQueryConfig; use crate::query_tracker::QueryTrackingContext; +use crate::scoped_index_optimizer::ScopedPageIndexOptimizer; /// Opaque handle holding a configured SessionContext between FFM calls. pub struct SessionContextHandle { @@ -229,6 +231,18 @@ pub async unsafe fn create_session_context( ); } + // Install the scoped page-index reader factory on every parquet scan. + // Registered AFTER ProjectRowIdOptimizer so it sees the final DataSourceExec. + // Also, this SHOULD be the last optimizer to see all projections / predicates + if page_index::is_scoped_page_index_enabled() { + state_builder = state_builder.with_physical_optimizer_rule(Arc::new( + ScopedPageIndexOptimizer::new( + Arc::clone(&shard_view.store), + runtime.runtime_env.cache_manager.get_file_metadata_cache(), + ), + )); + } + let state = state_builder.build(); let ctx = SessionContext::new_with_state(state); @@ -270,6 +284,26 @@ pub async unsafe fn create_session_context( table_name.to_string() }; + // Pre-warm the metadata cache footer-only before infer_schema fires. + // infer_schema calls DFParquetMetadata::fetch_metadata with PageIndexPolicy::Optional + // on a cache miss — fetching full page index bytes. By pre-warming here with + // PageIndexPolicy::Skip via load_parquet_metadata, every infer_schema call becomes + // a cache hit and never touches the page index bytes. + // Cache key is meta.location (Path) — same key infer_schema uses. + // Empty shard: loop is a no-op; infer_schema is also skipped below. + { + let metadata_cache = runtime.runtime_env.cache_manager.get_file_metadata_cache(); + for meta in shard_view.object_metas.as_ref() { + let _ = crate::indexed_table::parquet_bridge::load_parquet_metadata_with_meta( + Arc::clone(&shard_view.store), + &meta.location, + meta.clone(), + Arc::clone(&metadata_cache), + ) + .await; + } + } + // Empty shard: skip infer_schema (errors on zero files); widen_schema_from_plan // below populates columns from the substrait base_schema. let inferred: arrow::datatypes::SchemaRef = if shard_view.object_metas.is_empty() { diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs index 2fcec9ce4d86e..85bc941682095 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs @@ -5,7 +5,7 @@ //! Stats packing helpers for the FFM `df_stats()` function. //! //! Packs Tokio runtime metrics and per-operation task monitor metrics -//! into a `#[repr(C)]` `DfStatsBuffer` struct (600 bytes) for efficient +//! into a `#[repr(C)]` `DfStatsBuffer` struct (680 bytes) for efficient //! transfer across the FFM boundary. //! //! ## Struct layout @@ -20,7 +20,7 @@ //! | `plan_setup` | `TaskMonitorRepr` | 5 × i64 | //! | `fragment_executor_gate` | `PartitionGateRepr` | 8 × i64 | //! | `adaptive_budget` | `AdaptiveBudgetRepr` | 2 × i64 | -//! | `cache_stats` | `CacheStatsRepr` | 10 × i64 (2 × 5: metadata + statistics caches) | +//! | `cache_stats` | `CacheStatsRepr` | 20 × i64 (4 × 5: metadata, statistics, column_index, offset_index) | //! | `search_stats` | `SearchStatsRepr` | 17 × i64 | use tokio::runtime::Handle; @@ -92,6 +92,8 @@ pub struct CacheGroupRepr { pub struct CacheStatsRepr { pub metadata_cache: CacheGroupRepr, pub statistics_cache: CacheGroupRepr, + pub column_index_cache: CacheGroupRepr, + pub offset_index_cache: CacheGroupRepr, } impl Default for CacheGroupRepr { @@ -111,6 +113,8 @@ impl Default for CacheStatsRepr { Self { metadata_cache: CacheGroupRepr::default(), statistics_cache: CacheGroupRepr::default(), + column_index_cache: CacheGroupRepr::default(), + offset_index_cache: CacheGroupRepr::default(), } } } @@ -156,19 +160,19 @@ pub struct AdaptiveBudgetRepr { pub rejections: i64, } -const _: () = assert!(std::mem::size_of::() == 9 * 8); -const _: () = assert!(std::mem::size_of::() == 5 * 8); -const _: () = assert!(std::mem::size_of::() == 8 * 8); -const _: () = assert!(std::mem::size_of::() == 2 * 8); -const _: () = assert!(std::mem::size_of::() == 5 * 8); -const _: () = assert!(std::mem::size_of::() == 10 * 8); -const _: () = assert!(std::mem::size_of::() == 17 * 8); -const _: () = assert!(std::mem::size_of::() == 75 * 8); +const _: () = assert!(size_of::() == 9 * 8); +const _: () = assert!(size_of::() == 5 * 8); +const _: () = assert!(size_of::() == 8 * 8); +const _: () = assert!(size_of::() == 2 * 8); +const _: () = assert!(size_of::() == 5 * 8); +const _: () = assert!(size_of::() == 20 * 8); +const _: () = assert!(size_of::() == 17 * 8); +const _: () = assert!(size_of::() == 85 * 8); pub mod layout { use super::*; - pub const BUFFER_BYTE_SIZE: usize = std::mem::size_of::(); - const _: () = assert!(BUFFER_BYTE_SIZE == 600); + pub const BUFFER_BYTE_SIZE: usize = size_of::(); + const _: () = assert!(BUFFER_BYTE_SIZE == 680); } /// Snapshot a `RuntimeMonitor` and return a populated `RuntimeMetricsRepr`. @@ -289,6 +293,9 @@ pub fn pack_cache_stats(mgr: &CustomCacheManager) -> CacheStatsRepr { .get_memory_consumed_by_type(crate::cache::CACHE_TYPE_STATS) .unwrap_or(0) as i64; + let ci = crate::cache::page_index::column_index_cache_stats(); + let oi = crate::cache::page_index::offset_index_cache_stats(); + CacheStatsRepr { metadata_cache: CacheGroupRepr { hit_count: mgr.metadata_cache_hit_count() as i64, @@ -304,6 +311,20 @@ pub fn pack_cache_stats(mgr: &CustomCacheManager) -> CacheStatsRepr { memory_bytes: statistics_memory, size_limit_bytes: mgr.statistics_cache_size_limit() as i64, }, + column_index_cache: CacheGroupRepr { + hit_count: ci.hits as i64, + miss_count: ci.misses as i64, + entry_count: ci.entries as i64, + memory_bytes: ci.used_bytes as i64, + size_limit_bytes: ci.limit_bytes as i64, + }, + offset_index_cache: CacheGroupRepr { + hit_count: oi.hits as i64, + miss_count: oi.misses as i64, + entry_count: oi.entries as i64, + memory_bytes: oi.used_bytes as i64, + size_limit_bytes: oi.limit_bytes as i64, + }, } } @@ -396,7 +417,7 @@ mod tests { search_stats: crate::search_stats::snapshot(), }; - assert_eq!(layout::BUFFER_BYTE_SIZE, 600); + assert_eq!(layout::BUFFER_BYTE_SIZE, 680); assert!(buf.io_runtime.workers_count > 0, "IO runtime workers_count should be > 0, got {}", buf.io_runtime.workers_count); assert!(buf.fragment_executor_gate.max_permits > 0, "fragment_executor_gate max_permits should be > 0, got {}", buf.fragment_executor_gate.max_permits); @@ -411,9 +432,9 @@ mod tests { #[test] fn test_df_stats_buffer_too_small() { // Verify that the buffer size assertion holds - assert_eq!(std::mem::size_of::(), 600); - assert_eq!(layout::BUFFER_BYTE_SIZE, 600); - // A buffer smaller than 600 bytes should be rejected by df_stats. + assert_eq!(size_of::(), 680); + assert_eq!(layout::BUFFER_BYTE_SIZE, 680); + // A buffer smaller than 680 bytes should be rejected by df_stats. // We can't call df_stats directly without a runtime manager, // but we verify the constant is correct. assert!(layout::BUFFER_BYTE_SIZE > 0); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index 07d03fee44339..bb29fc5916b5c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -365,6 +365,18 @@ static String deriveSpillLimitDefault(Settings settings) { Setting.Property.Dynamic ); + /** + * Kill-switch for the scoped page-index feature. + * When false, the scoped CI/OI caches are bypassed and the metadata cache + * retains the full page index (fallback mode). Default: true. + */ + public static final Setting SCOPED_PAGE_INDEX_ENABLED = Setting.boolSetting( + "datafusion.scoped_page_index.enabled", + true, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + /** * Admission threshold for the jemalloc memory guard (0.0–1.0). * When pool accounting rejects a phantom reservation but jemalloc reports @@ -560,33 +572,37 @@ public Collection createComponents( clusterService.getClusterSettings().addSettingsUpdateConsumer(DATAFUSION_MIN_TARGET_PARTITIONS, this::updateMinTargetPartitions); // Recompute and push absolute cache limits whenever the total budget or any // sub-cache percentage changes. Validates that percentages sum to 100 first. + // The total-size budget and the four sub-cache percentages together determine the + // absolute CI/OI limits, so they are wired through a single grouped Consumer. + // This MUST use the grouped overload (not `v -> recompute(getClusterSettings())`): during + // an apply cycle the per-setting getter resolves against `lastSettingsApplied`, which the + // settings framework only swaps in AFTER all update consumers have run — so a callback that + // re-reads via getClusterSettings().get() sees the stale/previous value and pushes the + // limit derived from the OLD budget (an off-by-one update). The grouped consumer receives a + // Settings built from the cycle's new values, so reading each setting from it is correct. clusterService.getClusterSettings() .addSettingsUpdateConsumer( - CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE, - v -> recomputePageCacheLimits(clusterService.getClusterSettings()) - ); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer( - CacheSettings.FOOTER_METADATA_CACHE_PERCENT, - v -> recomputePageCacheLimits(clusterService.getClusterSettings()) - ); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer( - CacheSettings.OFFSET_INDEX_CACHE_PERCENT, - v -> recomputePageCacheLimits(clusterService.getClusterSettings()) - ); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer( - CacheSettings.COLUMN_INDEX_CACHE_PERCENT, - v -> recomputePageCacheLimits(clusterService.getClusterSettings()) - ); - clusterService.getClusterSettings() - .addSettingsUpdateConsumer( - CacheSettings.STATISTICS_CACHE_PERCENT, - v -> recomputePageCacheLimits(clusterService.getClusterSettings()) + this::recomputePageCacheLimits, + List.of( + CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE, + CacheSettings.FOOTER_METADATA_CACHE_PERCENT, + CacheSettings.OFFSET_INDEX_CACHE_PERCENT, + CacheSettings.COLUMN_INDEX_CACHE_PERCENT, + CacheSettings.STATISTICS_CACHE_PERCENT + ) ); clusterService.getClusterSettings() .addSettingsUpdateConsumer(DATAFUSION_REDUCE_TARGET_PARTITIONS, NativeBridge::setReduceTargetPartitions); + clusterService.getClusterSettings().addSettingsUpdateConsumer(SCOPED_PAGE_INDEX_ENABLED, enabled -> { + NativeBridge.setScopedPageIndexEnabled(enabled); + if (!enabled) { + // Clear scoped caches immediately when disabling — entries are + // useless in fallback mode and would waste native heap. + NativeBridge.clearColumnIndexCache(); + NativeBridge.clearOffsetIndexCache(); + logger.info("Scoped page-index disabled: cleared CI and OI caches"); + } + }); clusterService.getClusterSettings() .addSettingsUpdateConsumer(DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP, NativeBridge::setSpillExemptCapBytes); // The four memory-guard thresholds are pushed to the native pool together via a single @@ -625,6 +641,7 @@ public Collection createComponents( NativeBridge.setMinTargetPartitions(DATAFUSION_MIN_TARGET_PARTITIONS.get(settings)); NativeBridge.setReduceTargetPartitions(DATAFUSION_REDUCE_TARGET_PARTITIONS.get(settings)); NativeBridge.setSpillExemptCapBytes(DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP.get(settings)); + NativeBridge.setScopedPageIndexEnabled(SCOPED_PAGE_INDEX_ENABLED.get(settings)); NativeBridge.setMemoryGuardThresholds( DATAFUSION_MEMORY_GUARD_ADMISSION_THROTTLE_THRESHOLD.get(settings), DATAFUSION_MEMORY_GUARD_ADMISSION_REJECT_THRESHOLD.get(settings), @@ -836,16 +853,21 @@ void updateMinTargetPartitions(int value) { } /** - * Recompute absolute ColumnIndex and OffsetIndex cache limits from the current + * Recompute absolute ColumnIndex and OffsetIndex cache limits from the updated * {@link CacheSettings#METADATA_INDEX_CACHE_TOTAL_SIZE} and percent settings, then push them * to native. Validates that percentages sum to 100 before applying. + * + *

      Reads each value from the {@code updated} Settings supplied by the grouped settings-update + * consumer — NOT via {@code clusterService.getClusterSettings().get(...)}, which during an apply + * cycle still resolves against the previous settings and would derive limits from the stale + * budget (an off-by-one update). */ - private void recomputePageCacheLimits(org.opensearch.common.settings.ClusterSettings cs) { - long total = cs.get(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE).getBytes(); - int metaPct = cs.get(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); - int oiPct = cs.get(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); - int ciPct = cs.get(CacheSettings.COLUMN_INDEX_CACHE_PERCENT); - int statsPct = cs.get(CacheSettings.STATISTICS_CACHE_PERCENT); + private void recomputePageCacheLimits(org.opensearch.common.settings.Settings updated) { + long total = CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE.get(updated).getBytes(); + int metaPct = CacheSettings.FOOTER_METADATA_CACHE_PERCENT.get(updated); + int oiPct = CacheSettings.OFFSET_INDEX_CACHE_PERCENT.get(updated); + int ciPct = CacheSettings.COLUMN_INDEX_CACHE_PERCENT.get(updated); + int statsPct = CacheSettings.STATISTICS_CACHE_PERCENT.get(updated); CacheSettings.validatePercentSum(metaPct, oiPct, ciPct, statsPct); long metaLimit = total * metaPct / 100; long ciLimit = total * ciPct / 100; diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java index 562f9d6464f4d..e8f6cda469456 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java @@ -292,9 +292,11 @@ static String derivePoolMinDefault(Settings settings, int percent) { DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP, DATAFUSION_MEMORY_POOL_MIN, - // Cache settings — metadata, statistics, and metadata-index cache configuration + // Cache settings — metadata, statistics, column index, offset index configuration CacheSettings.METADATA_CACHE_EVICTION_TYPE, CacheSettings.STATISTICS_CACHE_EVICTION_TYPE, + CacheSettings.COLUMN_INDEX_CACHE_EVICTION_TYPE, + CacheSettings.OFFSET_INDEX_CACHE_EVICTION_TYPE, CacheSettings.METADATA_CACHE_ENABLED, CacheSettings.STATISTICS_CACHE_ENABLED, CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE, @@ -303,6 +305,9 @@ static String derivePoolMinDefault(Settings settings, int percent) { CacheSettings.COLUMN_INDEX_CACHE_PERCENT, CacheSettings.STATISTICS_CACHE_PERCENT, + // Scoped page-index feature flag + DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED, + // Concurrency gate settings CONCURRENCY_DATANODE_MULTIPLIER, diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java index e685c3fae4877..1fe3da15f81fc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java @@ -11,7 +11,9 @@ import org.opensearch.action.FailedNodeException; import org.opensearch.action.support.ActionFilters; import org.opensearch.action.support.nodes.TransportNodesAction; -import org.opensearch.be.datafusion.nativelib.NativeBridge; +import org.opensearch.be.datafusion.DataFusionService; +import org.opensearch.be.datafusion.cache.CacheManager; +import org.opensearch.be.datafusion.cache.CacheUtils; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.inject.Inject; import org.opensearch.core.common.io.stream.StreamInput; @@ -22,8 +24,11 @@ import java.util.List; /** - * Broadcast transport action that clears the process-global scoped page-index - * caches (ColumnIndex + OffsetIndex) on every target node. + * Broadcast transport action that clears the DataFusion parquet caches on every + * target node. Clearing is routed through the node-local {@link CacheManager}, + * which holds the native runtime handle: the metadata (footer) and statistics + * caches are runtime-scoped and can only be cleared through that handle, while + * the ColumnIndex/OffsetIndex scoped caches are cleared alongside them. * * @opensearch.internal */ @@ -33,12 +38,15 @@ public class TransportClearCacheAction extends TransportNodesAction< ClearCacheNodeRequest, ClearCacheNodeResponse> { + private final DataFusionService dataFusionService; + @Inject public TransportClearCacheAction( ThreadPool threadPool, ClusterService clusterService, TransportService transportService, - ActionFilters actionFilters + ActionFilters actionFilters, + DataFusionService dataFusionService ) { super( ClearCacheActionType.NAME, @@ -51,6 +59,7 @@ public TransportClearCacheAction( ThreadPool.Names.MANAGEMENT, ClearCacheNodeResponse.class ); + this.dataFusionService = dataFusionService; } @Override @@ -74,14 +83,17 @@ protected ClearCacheNodeResponse newNodeResponse(StreamInput in) throws IOExcept @Override protected ClearCacheNodeResponse nodeOperation(ClearCacheNodeRequest request) { - if (request.isClearAll()) { - NativeBridge.clearColumnIndexCache(); - NativeBridge.clearOffsetIndexCache(); - NativeBridge.clearFooterCache(); - } else { - if (request.isColumn()) NativeBridge.clearColumnIndexCache(); - if (request.isOffset()) NativeBridge.clearOffsetIndexCache(); - if (request.isFooter()) NativeBridge.clearFooterCache(); + CacheManager cacheManager = dataFusionService.getCacheManager(); + // Caching may not be configured on this node (DataFusion not started or + // caches disabled). Nothing to clear in that case. + if (cacheManager != null) { + if (request.isClearAll()) { + cacheManager.clearAllCache(); + } else { + if (request.isFooter()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.METADATA); + if (request.isColumn()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.COLUMN_INDEX); + if (request.isOffset()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.OFFSET_INDEX); + } } return new ClearCacheNodeResponse(clusterService.localNode()); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java index 1be3e801afdfb..0a0706ed2a22e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java @@ -77,6 +77,32 @@ public class CacheSettings { Setting.Property.Dynamic ); + /** + * Eviction policy for the scoped ColumnIndex cache. + * Currently only {@code FIFO} is supported — the CI/OI caches use a lock-free + * read design (FIFO insert-order eviction under a single write lock). + * {@code S3_FIFO} will be added as a follow-up. + */ + public static final Setting COLUMN_INDEX_CACHE_EVICTION_TYPE = new Setting<>( + "datafusion.column_index.cache.eviction.type", + "FIFO", + CacheSettings::validateScopedEvictionType, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Eviction policy for the scoped OffsetIndex cache. + * Currently only {@code FIFO} is supported. + */ + public static final Setting OFFSET_INDEX_CACHE_EVICTION_TYPE = new Setting<>( + "datafusion.offset_index.cache.eviction.type", + "FIFO", + CacheSettings::validateScopedEvictionType, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + // Page-cache total budget (3% of node.native_memory.limit) public static final String METADATA_INDEX_CACHE_TOTAL_SIZE_KEY = "datafusion.metadata_index_cache.total_size"; @@ -206,6 +232,7 @@ static String deriveMetadataIndexCacheTotalDefault(Settings settings) { return total + "b"; } + /** Validates eviction type for metadata/statistics caches (LRU or LFU via CachePolicy). */ private static String validateEvictionType(String value) { String upper = value.toUpperCase(Locale.ROOT); if (!upper.equals("LRU") && !upper.equals("LFU")) { @@ -213,4 +240,21 @@ private static String validateEvictionType(String value) { } return upper; } + + /** + * Validates eviction type for the scoped CI/OI caches. + * Only {@code FIFO} is supported today; {@code S3_FIFO} will be added as a follow-up. + */ + private static String validateScopedEvictionType(String value) { + String upper = value.toUpperCase(Locale.ROOT); + if (!upper.equals("FIFO")) { + throw new IllegalArgumentException( + "Invalid eviction type '" + + value + + "' for scoped page-index cache. " + + "Only 'FIFO' is supported. S3_FIFO support is planned as a follow-up." + ); + } + return upper; + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java index 60ef93ae83610..411001173ddcf 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheUtils.java @@ -11,11 +11,14 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; import org.opensearch.be.datafusion.nativelib.NativeBridge; +import org.opensearch.common.Nullable; import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Setting; +import static org.opensearch.be.datafusion.cache.CacheSettings.COLUMN_INDEX_CACHE_EVICTION_TYPE; import static org.opensearch.be.datafusion.cache.CacheSettings.METADATA_CACHE_ENABLED; import static org.opensearch.be.datafusion.cache.CacheSettings.METADATA_CACHE_EVICTION_TYPE; +import static org.opensearch.be.datafusion.cache.CacheSettings.OFFSET_INDEX_CACHE_EVICTION_TYPE; import static org.opensearch.be.datafusion.cache.CacheSettings.STATISTICS_CACHE_ENABLED; import static org.opensearch.be.datafusion.cache.CacheSettings.STATISTICS_CACHE_EVICTION_TYPE; @@ -44,13 +47,36 @@ public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimi public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit) { return statsLimit; } + }, + COLUMN_INDEX("COLUMN_INDEX", null, COLUMN_INDEX_CACHE_EVICTION_TYPE) { + @Override + public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit) { + return ciLimit; + } + + @Override + public boolean isEnabled(ClusterSettings clusterSettings) { + return clusterSettings.get(org.opensearch.be.datafusion.DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED); + } + }, + OFFSET_INDEX("OFFSET_INDEX", null, OFFSET_INDEX_CACHE_EVICTION_TYPE) { + @Override + public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit) { + return oiLimit; + } + + @Override + public boolean isEnabled(ClusterSettings clusterSettings) { + return clusterSettings.get(org.opensearch.be.datafusion.DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED); + } }; private final String cacheTypeName; + @Nullable private final Setting enabledSetting; private final Setting evictionTypeSetting; - CacheType(String cacheTypeName, Setting enabledSetting, Setting evictionTypeSetting) { + CacheType(String cacheTypeName, @Nullable Setting enabledSetting, Setting evictionTypeSetting) { this.cacheTypeName = cacheTypeName; this.enabledSetting = enabledSetting; this.evictionTypeSetting = evictionTypeSetting; @@ -59,9 +85,10 @@ public long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimi public abstract long sizeBytes(long metaLimit, long oiLimit, long ciLimit, long statsLimit); public boolean isEnabled(ClusterSettings clusterSettings) { - return clusterSettings.get(enabledSetting); + return enabledSetting != null && clusterSettings.get(enabledSetting); } + @Nullable public Setting getEnabledSetting() { return enabledSetting; } @@ -133,8 +160,6 @@ public static NativeCacheManagerHandle createCacheConfig(ClusterSettings cluster } } - NativeBridge.setColumnIndexCacheLimit(ciLimit); - NativeBridge.setOffsetIndexCacheLimit(oiLimit); logger.info("Cache configuration completed"); return handle; } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index 0778b027a8f5b..5ca552750c36c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -138,6 +138,7 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle SET_COLUMN_INDEX_CACHE_LIMIT; private static final MethodHandle SET_OFFSET_INDEX_CACHE_LIMIT; private static final MethodHandle CLEAR_SCOPED_PAGE_INDEX_CACHE; + private static final MethodHandle SET_SCOPED_PAGE_INDEX_ENABLED; private static final MethodHandle CANCEL_QUERY; private static final MethodHandle SET_CANCEL_STATS_THRESHOLD_MS; private static final MethodHandle STATS; @@ -524,6 +525,10 @@ private static RuntimeException rethrowConverted(RuntimeException e) { lib.find("df_clear_scoped_page_index_cache").orElseThrow(), FunctionDescriptor.of(ValueLayout.JAVA_LONG) ); + SET_SCOPED_PAGE_INDEX_ENABLED = linker.downcallHandle( + lib.find("df_set_scoped_page_index_enabled").orElseThrow(), + FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) + ); CANCEL_QUERY = linker.downcallHandle(lib.find("df_cancel_query").orElseThrow(), FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG)); SET_CANCEL_STATS_THRESHOLD_MS = linker.downcallHandle( @@ -1689,14 +1694,6 @@ public static void clearScopedPageIndexCache() { } } - /** Clears the footer metadata cache. */ - public static void clearFooterCache() { - // TODO(PR1): wire to df_clear_footer_cache when available - try (var call = new NativeCall()) { - call.invoke(CLEAR_SCOPED_PAGE_INDEX_CACHE); - } - } - /** Clears the scoped ColumnIndex (predicate) cache. */ public static void clearColumnIndexCache() { // TODO(PR1): wire to df_clear_column_index_cache when available @@ -1713,5 +1710,16 @@ public static void clearOffsetIndexCache() { } } + /** + * Enable or disable the scoped page-index feature. + * When disabled, the metadata cache retains the full page index (fallback mode) + * and CI/OI scoped caches are bypassed entirely. + */ + public static void setScopedPageIndexEnabled(boolean enabled) { + try (var call = new NativeCall()) { + call.invoke(SET_SCOPED_PAGE_INDEX_ENABLED, enabled ? 1L : 0L); + } + } + public static void initLogger() {} } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index cdcee73e97300..c7fdbfc2701d6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -116,7 +116,7 @@ public void testGetSettingsReturnsAllIndexedSettings() { public void testGetSettingsReturnsTotalExpectedCount() { try (DataFusionPlugin plugin = new DataFusionPlugin()) { List> settings = plugin.getSettings(); - assertEquals(32, settings.size()); + assertEquals(35, settings.size()); } catch (Exception e) { throw new AssertionError(e); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java index df2f51570ca95..1cf221e4e9f57 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java @@ -168,8 +168,11 @@ public void testPluginRegistersAllCacheSettings() { List> settings = new DataFusionPlugin().getSettings(); assertTrue(settings.contains(CacheSettings.METADATA_CACHE_EVICTION_TYPE)); assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE)); + assertTrue(settings.contains(CacheSettings.COLUMN_INDEX_CACHE_EVICTION_TYPE)); + assertTrue(settings.contains(CacheSettings.OFFSET_INDEX_CACHE_EVICTION_TYPE)); assertTrue(settings.contains(CacheSettings.METADATA_CACHE_ENABLED)); assertTrue(settings.contains(CacheSettings.STATISTICS_CACHE_ENABLED)); + assertTrue(settings.contains(DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED)); assertTrue(settings.contains(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE)); assertTrue(settings.contains(CacheSettings.FOOTER_METADATA_CACHE_PERCENT)); assertTrue(settings.contains(CacheSettings.OFFSET_INDEX_CACHE_PERCENT)); @@ -229,6 +232,9 @@ private ClusterSettings createCacheClusterSettings(Settings settings) { all.add(CacheSettings.METADATA_CACHE_EVICTION_TYPE); all.add(CacheSettings.STATISTICS_CACHE_ENABLED); all.add(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE); + all.add(CacheSettings.COLUMN_INDEX_CACHE_EVICTION_TYPE); + all.add(CacheSettings.OFFSET_INDEX_CACHE_EVICTION_TYPE); + all.add(DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED); all.add(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE); all.add(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); all.add(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java index dce2e191e444d..df7b162270e2a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionCacheManagerTests.java @@ -39,6 +39,9 @@ private void setup() { clusterSettingsToAdd.add(CacheSettings.METADATA_CACHE_EVICTION_TYPE); clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_ENABLED); clusterSettingsToAdd.add(CacheSettings.STATISTICS_CACHE_EVICTION_TYPE); + clusterSettingsToAdd.add(CacheSettings.COLUMN_INDEX_CACHE_EVICTION_TYPE); + clusterSettingsToAdd.add(CacheSettings.OFFSET_INDEX_CACHE_EVICTION_TYPE); + clusterSettingsToAdd.add(DataFusionPlugin.SCOPED_PAGE_INDEX_ENABLED); clusterSettingsToAdd.add(CacheSettings.METADATA_INDEX_CACHE_TOTAL_SIZE); clusterSettingsToAdd.add(CacheSettings.FOOTER_METADATA_CACHE_PERCENT); clusterSettingsToAdd.add(CacheSettings.OFFSET_INDEX_CACHE_PERCENT); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java index 05a00ffa3c640..915a7f378f444 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java @@ -69,7 +69,7 @@ public void testMaxCollectorParallelismSettingDefinition() { } public void testAllSettingsContainsAllExpectedSettings() { - assertEquals(32, DatafusionSettings.ALL_SETTINGS.size()); + assertEquals(35, DatafusionSettings.ALL_SETTINGS.size()); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_REDUCE_TARGET_PARTITIONS)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_SPILL_DIRECTORY)); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ScopedPageIndexCacheIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ScopedPageIndexCacheIT.java new file mode 100644 index 0000000000000..45a22477f1d0d --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ScopedPageIndexCacheIT.java @@ -0,0 +1,1345 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; + +import org.apache.hc.core5.http.io.entity.EntityUtils; +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.io.IOException; +import java.util.Map; + +/** + * Integration tests for the scoped page-index cache (ColumnIndex + OffsetIndex). + * + *

      The cache is governed by the {@code datafusion.scoped_page_index.enabled} cluster setting. + * Key invariants verified across the suite: + *

        + *
      • Enabled: CI fills on cold query (misses), hits on warm repeat. Metadata cache is smaller + * because page index entries are stripped and kept separately in the scoped cache.
        • + *
      • Disabled: CI/OI stats = 0. Metadata cache is larger because page index is retained via + * PageIndexPolicy::Optional.
        • + *
      • Toggle-off clears CI/OI caches immediately; metadata cache is unaffected.
        • + *
      • Explicit clear resets stats so the next query is a miss again.
        • + *
      • OI fills on projection-only queries; CI does NOT fill when there is no predicate.
        • + *
      • Both CI and OI fill when the same column is filtered and projected.
        • + *
      • Schema-drift (new field added in a later segment) is handled: CI fills for the new field + * from the segment that carries it, and the old-field query continues to work.
        • + *
      • After a force-merge the pre-merge segment entries are gone; a fresh query re-misses.
        • + *
      + * + *

      Every test that needs clean measurements calls {@code recreateIndex()} (or a named variant), + * then {@code clearAllCaches()}, then {@code assertCacheEmpty()} before measuring. This ensures + * that any warming triggered by the refresh inside {@code recreateIndex()} is wiped out. + */ +public class ScopedPageIndexCacheIT extends AnalyticsRestTestCase { + + private static final ObjectMapper MAPPER = new ObjectMapper(); + private static final String INDEX_NAME = "scoped_cache_it"; + private static final String DYNAMIC_INDEX_NAME = "scoped_cache_dynamic_it"; + private static final String CLEAR_ENDPOINT = "/_plugins/_analytics_backend_datafusion/cache/_clear"; + private static final int DOC_COUNT = 2000; + + /** + * Per-test setup via {@link AnalyticsRestTestCase#onBeforeQuery()} — this fires + * inside the test body lifecycle where {@link #client()} is guaranteed non-null. + * Using {@code setUp()} is unsafe here because {@code client()} may not yet be + * initialized when setUp() runs (see existing IT comments in this package). + */ + @Override + protected void onBeforeQuery() throws IOException { + setScopedPageIndexEnabled(true); + try { + recreateIndex(); + clearAllCaches(); + } catch (Exception e) { + throw new IOException("ScopedPageIndexCacheIT setup failed", e); + } + } + + @Override + public void tearDown() throws Exception { + try { + setScopedPageIndexEnabled(true); + restoreCacheDefaults(); + restoreLuceneBlockedPredicates(); + clearAllCaches(); + } catch (Exception ignored) { + // best-effort: don't mask the test failure + } + super.tearDown(); + } + + @Override + protected boolean preserveClusterUponCompletion() { + return true; + } + + // ── listing table path ──────────────────────────────────────────────────── + + /** + * Listing path (numeric age predicate): refresh must NOT fill the scoped CI cache; only a + * query should. Cold run produces CI misses; warm repeat produces CI hits. + */ + public void testListingPathColdMissThenWarmHit() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where age > 90 | stats count()"; + + // After recreateIndex() + clearAllCaches() in setUp(): + // both metadata memory and CI entries must be 0 — refresh did not fill the cache. + JsonNode afterRefresh = stats(); + assertEquals("refresh must NOT fill metadata cache", 0L, metaMemoryBytes(afterRefresh)); + assertEquals("refresh must NOT fill CI cache", 0L, ciEntries(afterRefresh)); + assertEquals("refresh must NOT fill OI cache", 0L, oiEntries(afterRefresh)); + + // Cold query — must fill CI and OI (misses) and populate metadata cache. + executePpl(ppl); + JsonNode cold = stats(); + assertTrue("cold query must populate metadata cache", metaMemoryBytes(cold) > 0); + assertTrue("cold query must register CI misses", ciMisses(cold) > 0); + assertTrue("cold query must register OI misses (predicate col + col 0)", oiMisses(cold) > 0); + + // Warm query — same query hits from both CI and OI caches. + executePpl(ppl); + JsonNode warm = stats(); + assertTrue("warm query must register CI hits", ciHits(warm) > 0); + assertTrue("warm query must register OI hits", oiHits(warm) > 0); + } + + /** + * Listing path disabled: CI/OI = 0, metadata cache larger than enabled baseline. + * + *

      Flow per mode: delete → create → index → refresh → clearAllCaches() → + * assertCacheEmpty() → query → measure. + */ + public void testListingPathDisabledMetadataCacheLarger() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where age > 90 | stats count()"; + + // ── ENABLED baseline ────────────────────────────────────────────── + setScopedPageIndexEnabled(true); + recreateIndex(); + clearAllCaches(); + assertCacheEmpty(); + + executePpl(ppl); + JsonNode s1 = stats(); + long metaEnabled = metaMemoryBytes(s1); + assertTrue("enabled: metadata cache populated by query", metaEnabled > 0); + assertTrue("enabled: CI must have activity", ciMisses(s1) + ciHits(s1) > 0); + + // ── DISABLED ───────────────────────────────────────────────────── + setScopedPageIndexEnabled(false); + assertEquals("CI entries 0 after auto-clear on disable", 0L, ciEntries(stats())); + assertEquals("OI entries 0 after auto-clear on disable", 0L, oiEntries(stats())); + + recreateIndex(); + clearAllCaches(); + assertCacheEmpty(); + + executePpl(ppl); + JsonNode s2 = stats(); + long metaDisabled = metaMemoryBytes(s2); + assertTrue("disabled: metadata cache populated by query", metaDisabled > 0); + assertTrue( + "disabled metadata >= enabled (page index retained): enabled=" + + metaEnabled + " disabled=" + metaDisabled, + metaDisabled >= metaEnabled + ); + assertEquals("CI hits 0 with scoped disabled", 0L, ciHits(s2)); + assertEquals("CI misses 0 with scoped disabled", 0L, ciMisses(s2)); + assertEquals("OI hits 0 with scoped disabled", 0L, oiHits(s2)); + assertEquals("OI misses 0 with scoped disabled", 0L, oiMisses(s2)); + } + + // ── indexed path (match() → Lucene + DataFusion) ────────────────────────── + + /** + * Indexed path: refresh must NOT fill the scoped CI/OI cache; only a query should. + * Cold run produces CI/OI misses; warm repeat produces hits. + */ + public void testIndexedPathColdMissThenWarmHit() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where match(city, 'seattle') and age > 50 | stats count()"; + + // After setUp(): refresh must not have filled the scoped cache. + JsonNode afterRefresh = stats(); + assertEquals("refresh must NOT fill metadata cache", 0L, metaMemoryBytes(afterRefresh)); + assertEquals("refresh must NOT fill CI cache", 0L, ciEntries(afterRefresh)); + assertEquals("refresh must NOT fill OI cache", 0L, oiEntries(afterRefresh)); + + // Cold query — fills both CI and OI. + executePpl(ppl); + JsonNode cold = stats(); + assertTrue("indexed cold: metadata cache populated by query", metaMemoryBytes(cold) > 0); + assertTrue("indexed cold: CI misses > 0", ciMisses(cold) > 0); + assertTrue("indexed cold: OI misses > 0 (predicate col + col 0)", oiMisses(cold) > 0); + + // Warm query — hits from both CI and OI caches. + executePpl(ppl); + JsonNode warm = stats(); + assertTrue("indexed warm: CI hits > 0", ciHits(warm) > 0); + assertTrue("indexed warm: OI hits > 0", oiHits(warm) > 0); + } + + /** + * Indexed path disabled: CI/OI = 0, metadata cache larger than enabled baseline. + * + *

      Same flow as the listing test: recreate → clear → assertCacheEmpty → query → measure. + */ + public void testIndexedPathDisabledMetadataCacheLarger() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where match(city, 'seattle') and age > 50 | stats count()"; + + // ── ENABLED baseline ────────────────────────────────────────────── + setScopedPageIndexEnabled(true); + recreateIndex(); + clearAllCaches(); + assertCacheEmpty(); + + executePpl(ppl); + JsonNode s1 = stats(); + long metaEnabled = metaMemoryBytes(s1); + assertTrue("indexed enabled: metadata cache populated", metaEnabled > 0); + + // ── DISABLED ───────────────────────────────────────────────────── + setScopedPageIndexEnabled(false); + assertEquals("CI entries 0 after auto-clear on disable", 0L, ciEntries(stats())); + assertEquals("OI entries 0 after auto-clear on disable", 0L, oiEntries(stats())); + + recreateIndex(); + clearAllCaches(); + assertCacheEmpty(); + + executePpl(ppl); + JsonNode s2 = stats(); + long metaDisabled = metaMemoryBytes(s2); + assertTrue("indexed disabled: metadata cache populated", metaDisabled > 0); + assertTrue( + "indexed disabled metadata >= enabled (page index retained): enabled=" + + metaEnabled + " disabled=" + metaDisabled, + metaDisabled >= metaEnabled + ); + assertEquals("CI hits 0 on indexed path disabled", 0L, ciHits(s2)); + assertEquals("CI misses 0 on indexed path disabled", 0L, ciMisses(s2)); + assertEquals("OI hits 0 on indexed path disabled", 0L, oiHits(s2)); + assertEquals("OI misses 0 on indexed path disabled", 0L, oiMisses(s2)); + } + + // ── string field filter (CI) ────────────────────────────────────────────── + + /** + * String keyword field predicate: {@code city = 'seattle'} hits the ColumnIndex because + * {@code city} is a keyword with string min/max statistics in the parquet ColumnIndex. + * Cold query fills CI with misses; warm repeat hits from cache. + */ + public void testStringFieldFilterFillsColumnIndex() throws Exception { + // city is a keyword field; equality would normally be delegated to Lucene and never + // touch parquet. Block EQUALS so the predicate scans parquet and fills the ColumnIndex. + setLuceneBlockedPredicates("EQUALS"); + String ppl = "source=" + INDEX_NAME + " | where city = 'seattle' | stats count()"; + clearAllCaches(); + assertCacheEmpty(); + + assertCacheFillsOnCold(ppl); + // CI: 1 file × city(col 3) × 1 RG = 1 entry + assertExactCiEntries("string predicate: CI entries = 1 (file×col×rg)", 1L); + // OI: 1 file × {col_0(name), city(col 3)} = 2 entries + assertExactOiEntries("string predicate: OI entries = 2 (file×{col_0,city})", 2L); + assertCacheHitsOnWarm(ppl); + } + + // ── numeric field filter (CI) ───────────────────────────────────────────── + + /** + * Numeric double field predicate: {@code score > 75.0} hits the ColumnIndex because + * {@code score} carries numeric min/max statistics in the parquet ColumnIndex. + * Cold query fills CI with misses; warm repeat hits from cache. + */ + public void testNumericFieldFilterFillsColumnIndex() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where score > 75.0 | stats count()"; + clearAllCaches(); + assertCacheEmpty(); + + assertCacheFillsOnCold(ppl); + // CI: 1 file × score(col 2) × 1 RG = 1 entry + assertExactCiEntries("numeric predicate: CI entries = 1 (file×col×rg)", 1L); + // OI: 1 file × {col_0(name), score(col 2)} = 2 entries + assertExactOiEntries("numeric predicate: OI entries = 2 (file×{col_0,score})", 2L); + assertCacheHitsOnWarm(ppl); + } + + // ── projection-only, no filter (OI only) ───────────────────────────────── + + /** + * Projection-only query with no filter: {@code fields name, score | head 100} requires the + * OffsetIndex to locate the page offsets for the projected columns, but there is no predicate + * so the ColumnIndex should NOT be consulted at all. + * Asserts: OI misses > 0, CI misses == 0. + */ + public void testProjectionOnlyFillsOffsetIndexNotColumnIndex() throws Exception { + String ppl = "source=" + INDEX_NAME + " | fields name, score | head 100"; + clearAllCaches(); + assertCacheEmpty(); + + assertOnlyOiFills(ppl); + // OI key = (file, col); the column set is {col 0} ∪ predicate ∪ projection. The + // page-skip metric always reads col 0, so it is included even when not projected. + // Here name/score are distinct keyword/double leaves (neither is col 0), so the set + // is {col 0, name, score} = 3 entries over 1 file. + assertExactOiEntries("projection-only: OI entries = 3 (file×{col 0,name,score})", 3L); + assertExactCiEntries("projection-only: CI entries = 0 (no predicate)", 0L); + } + + // ── filter = projection same columns (CI + OI overlap) ─────────────────── + + /** + * When the same column ({@code age}) is used in both a filter predicate and a projection, + * the query must consult both the ColumnIndex (predicate push-down) and the OffsetIndex + * (column projection). Both CI and OI should accumulate misses on the cold run. + */ + public void testFilterAndProjectionSameColumnFillsBothCaches() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where age > 80 | fields age | stats count()"; + clearAllCaches(); + assertCacheEmpty(); + + executePpl(ppl); + JsonNode cold = stats(); + assertPositive("CI+OI overlap: CI misses > 0", ciMisses(cold)); + assertPositive("CI+OI overlap: OI misses > 0", oiMisses(cold)); + assertPositive("CI+OI overlap: metadata populated", metaMemoryBytes(cold)); + // CI: 1 file × age(col 1) × 1 RG = 1 entry + // OI: 1 file × {col_0(name), age(col 1)} = 2 entries (predicate ∪ projection ∪ {col_0}) + assertExactCiEntries("filter=projection: CI entries = 1 (age×file×rg)", 1L); + assertExactOiEntries("filter=projection: OI entries = 2 (file×{col_0(name),age})", 2L); + } + + // ── dynamic mapping — new field in second segment ───────────────────────── + + /** + * Schema-drift scenario: a new field ({@code region}) is added in a second batch after the + * first segment already exists. Verifies that: + *

        + *
      1. The first batch's field ({@code age}) can still be queried correctly after the schema + * expands.
        2. + *
      2. The new field ({@code region}) fills the CI from the segment that carries it, even + * though the first segment has no such column.
        3. + *
      + * Uses a dedicated index ({@value #DYNAMIC_INDEX_NAME}) with dynamic mapping so no explicit + * schema is defined — the mapping is inferred from each batch. + */ + public void testDynamicMappingNewFieldInSecondSegmentFillsCI() throws Exception { + // region/city are keyword fields; block EQUALS so the keyword-equality predicate + // (region = 'west') scans parquet and fills the ColumnIndex instead of being + // delegated to Lucene. + setLuceneBlockedPredicates("EQUALS"); + + // Clean up any leftovers from a prior run. + try { client().performRequest(new Request("DELETE", "/" + DYNAMIC_INDEX_NAME)); } catch (Exception ignored) {} + + // Create index with dynamic mapping (no explicit properties) and composite parquet format. + String createBody = "{" + + "\"settings\":{" + + " \"number_of_shards\":1,\"number_of_replicas\":0," + + " \"index.pluggable.dataformat.enabled\":true," + + " \"index.pluggable.dataformat\":\"composite\"," + + " \"index.composite.primary_data_format\":\"parquet\"," + + " \"index.composite.secondary_data_formats\":\"lucene\"" + + "}}"; + Request create = new Request("PUT", "/" + DYNAMIC_INDEX_NAME); + create.setJsonEntity(createBody); + assertOkAndParse(client().performRequest(create), "create dynamic index"); + + Request health = new Request("GET", "/_cluster/health/" + DYNAMIC_INDEX_NAME); + health.addParameter("wait_for_status", "green"); + health.addParameter("timeout", "30s"); + client().performRequest(health); + + // Batch 1: fields name, age, city — creates segment 1. + StringBuilder batch1 = new StringBuilder(); + String[] cities = {"seattle", "portland", "denver", "austin", "boston"}; + for (int i = 0; i < 500; i++) { + batch1.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(i) + .append("\",\"age\":").append(i % 100) + .append(",\"city\":\"").append(cities[i % cities.length]) + .append("\"}\n"); + } + Request bulk1 = new Request("POST", "/" + DYNAMIC_INDEX_NAME + "/_bulk"); + bulk1.setJsonEntity(batch1.toString()); + bulk1.addParameter("refresh", "true"); + bulk1.setOptions(bulk1.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map r1 = assertOkAndParse(client().performRequest(bulk1), "dynamic bulk1"); + assertEquals("dynamic bulk1 errors", false, r1.get("errors")); + + // After batch 1 refresh: clear caches and verify age query fills CI. + clearAllCaches(); + assertCacheEmpty(); + + String agePpl = "source=" + DYNAMIC_INDEX_NAME + " | where age > 50 | stats count()"; + executePpl(agePpl); + JsonNode afterBatch1 = stats(); + assertPositive("dynamic batch1: CI fills for age", ciMisses(afterBatch1)); + assertPositive("dynamic batch1: metadata populated", metaMemoryBytes(afterBatch1)); + + // Batch 2: adds NEW field region to every doc → creates segment 2 with schema drift. + StringBuilder batch2 = new StringBuilder(); + String[] regions = {"west", "east", "central"}; + for (int i = 500; i < 1000; i++) { + batch2.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(i) + .append("\",\"age\":").append(i % 100) + .append(",\"city\":\"").append(cities[i % cities.length]) + .append("\",\"region\":\"").append(regions[i % regions.length]) + .append("\"}\n"); + } + Request bulk2 = new Request("POST", "/" + DYNAMIC_INDEX_NAME + "/_bulk"); + bulk2.setJsonEntity(batch2.toString()); + bulk2.addParameter("refresh", "true"); + bulk2.setOptions(bulk2.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map r2 = assertOkAndParse(client().performRequest(bulk2), "dynamic bulk2"); + assertEquals("dynamic bulk2 errors", false, r2.get("errors")); + + // Clear caches before measuring new-field scenario. + clearAllCaches(); + assertCacheEmpty(); + + // Query on new field region — only segment 2 carries it; CI must fill from that segment. + String regionPpl = "source=" + DYNAMIC_INDEX_NAME + " | where region = 'west' | stats count()"; + executePpl(regionPpl); + JsonNode afterRegion = stats(); + assertPositive("dynamic: CI fills for new field region", ciMisses(afterRegion)); + assertPositive("dynamic: metadata populated after region query", metaMemoryBytes(afterRegion)); + + // The old-field age query must still work correctly after schema drift. + clearAllCaches(); + assertCacheEmpty(); + executePpl(agePpl); + JsonNode afterAgeDrift = stats(); + assertPositive("dynamic: age CI still fills after schema drift", ciMisses(afterAgeDrift)); + } + + // ── refresh → merge lifecycle ───────────────────────────────────────────── + + /** + * Force-merge lifecycle: two separate refresh cycles produce two segments. After a + * force-merge to one segment the pre-merge cache entries are stale; a fresh query after + * clearing must re-miss against the merged segment. + * + *

      Flow: + *

        + *
      1. Batch 1 → refresh (segment 1)
        2. + *
      2. Batch 2 → refresh (segment 2)
        3. + *
      3. clearAllCaches → assertCacheEmpty → query → assert CI fills across both segments
        4. + *
      4. Force-merge to 1 segment
        5. + *
      5. clearAllCaches → assertCacheEmpty (old entries gone)
        6. + *
      6. Query → CI misses > 0 (merged segment is a fresh miss)
        7. + *
      + */ + public void testRefreshThenMergeCacheRefillsAfterMerge() throws Exception { + // Start with a clean index that has NO data yet — we will drive two separate + // refreshes ourselves so we get two distinct segments. + try { client().performRequest(new Request("DELETE", "/" + INDEX_NAME)); } catch (Exception ignored) {} + + String createBody = "{" + + "\"settings\":{" + + " \"number_of_shards\":1,\"number_of_replicas\":0," + + " \"index.pluggable.dataformat.enabled\":true," + + " \"index.pluggable.dataformat\":\"composite\"," + + " \"index.composite.primary_data_format\":\"parquet\"," + + " \"index.composite.secondary_data_formats\":\"lucene\"" + + "}," + + "\"mappings\":{\"properties\":{" + + " \"name\":{\"type\":\"keyword\"}," + + " \"age\":{\"type\":\"integer\"}," + + " \"score\":{\"type\":\"double\"}," + + " \"city\":{\"type\":\"keyword\"}" + + "}}}"; + Request createReq = new Request("PUT", "/" + INDEX_NAME); + createReq.setJsonEntity(createBody); + assertOkAndParse(client().performRequest(createReq), "merge-test: create index"); + + Request health = new Request("GET", "/_cluster/health/" + INDEX_NAME); + health.addParameter("wait_for_status", "green"); + health.addParameter("timeout", "30s"); + client().performRequest(health); + + String[] cities = {"seattle", "portland", "denver", "austin", "boston"}; + + // Batch 1 → refresh → segment 1. + StringBuilder b1 = new StringBuilder(); + for (int i = 0; i < 500; i++) { + b1.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(i) + .append("\",\"age\":").append(i % 100) + .append(",\"score\":").append(50.0 + (i % 50)) + .append(",\"city\":\"").append(cities[i % cities.length]) + .append("\"}\n"); + } + Request bulk1 = new Request("POST", "/" + INDEX_NAME + "/_bulk"); + bulk1.setJsonEntity(b1.toString()); + bulk1.addParameter("refresh", "true"); + bulk1.setOptions(bulk1.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map rb1 = assertOkAndParse(client().performRequest(bulk1), "merge-test bulk1"); + assertEquals("merge-test bulk1 errors", false, rb1.get("errors")); + + // Batch 2 → refresh → segment 2. + StringBuilder b2 = new StringBuilder(); + for (int i = 500; i < 1000; i++) { + b2.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(i) + .append("\",\"age\":").append(i % 100) + .append(",\"score\":").append(50.0 + (i % 50)) + .append(",\"city\":\"").append(cities[i % cities.length]) + .append("\"}\n"); + } + Request bulk2 = new Request("POST", "/" + INDEX_NAME + "/_bulk"); + bulk2.setJsonEntity(b2.toString()); + bulk2.addParameter("refresh", "true"); + bulk2.setOptions(bulk2.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map rb2 = assertOkAndParse(client().performRequest(bulk2), "merge-test bulk2"); + assertEquals("merge-test bulk2 errors", false, rb2.get("errors")); + + // Clear caches then verify query fills CI across both segments. + clearAllCaches(); + assertCacheEmpty(); + + String ppl = "source=" + INDEX_NAME + " | where age > 80 | stats count()"; + executePpl(ppl); + JsonNode premerge = stats(); + assertPositive("pre-merge: CI misses across both segments", ciMisses(premerge)); + assertPositive("pre-merge: OI misses across both segments", oiMisses(premerge)); + assertPositive("pre-merge: metadata populated", metaMemoryBytes(premerge)); + // CI: 2 files × age(col 1) × 1 RG each = 2 entries + assertExactCiEntries("pre-merge: CI entries = 2 (2 files × age × rg)", 2L); + // OI: 2 files × {col_0(name), age(col 1)} = 4 entries + assertExactOiEntries("pre-merge: OI entries = 4 (2 files × {col_0,age})", 4L); + + // Force-merge to a single segment — old segment entries in the scoped cache are stale. + Request fm = new Request("POST", "/" + INDEX_NAME + "/_forcemerge"); + fm.addParameter("max_num_segments", "1"); + client().performRequest(fm); + + // Wipe stale entries; the merged segment should not be in the cache. + clearAllCaches(); + assertCacheEmpty(); + + // Fresh query against the merged segment — must re-miss. + executePpl(ppl); + JsonNode postmerge = stats(); + assertPositive("post-merge: CI misses > 0 (forced re-miss after merge)", ciMisses(postmerge)); + assertPositive("post-merge: OI misses > 0 (forced re-miss after merge)", oiMisses(postmerge)); + assertPositive("post-merge: metadata populated from merged segment", metaMemoryBytes(postmerge)); + // CI: 1 merged file × age(col 1) × 1 RG = 1 entry (down from 2) + assertExactCiEntries("post-merge: CI entries = 1 (1 merged file × age × rg)", 1L); + // OI: 1 merged file × {col_0(name), age(col 1)} = 2 entries (down from 4) + assertExactOiEntries("post-merge: OI entries = 2 (1 merged file × {col_0,age})", 2L); + } + + // ── cross-index shared cache ────────────────────────────────────────────── + + private static final String INDEX_B = "scoped_cache_it_b"; + + /** + * Two parquet indices share the same process-global CI/OI caches. + * Queries on INDEX_NAME and INDEX_B accumulate independent entries + * (different file paths → different cache keys). Entries from one index + * must not corrupt or evict entries from the other if the cache is sized + * to hold both comfortably. + * + *

      This exercises the FIFO write lock under real concurrent key diversity. + */ + public void testCrossIndexCacheEntriesAreIndependent() throws Exception { + // Provision a second index with the same schema. + try { client().performRequest(new Request("DELETE", "/" + INDEX_B)); } catch (Exception ignored) {} + provisionNamedIndex(INDEX_B); + try { + clearAllCaches(); + assertCacheEmpty(); + + String pplA = "source=" + INDEX_NAME + " | where age > 80 | stats count()"; + String pplB = "source=" + INDEX_B + " | where score > 75.0 | stats count()"; + + // Cold run on both indices. + executePpl(pplA); + executePpl(pplB); + JsonNode cold = stats(); + // Each index contributes 1 CI entry (1 file × 1 pred col × 1 RG). + // Total CI entries = 2 (one per index, different file paths). + long ciAfterBoth = ciEntries(cold); + assertTrue("cross-index: CI entries must be >= 2 after cold queries on both indices", + ciAfterBoth >= 2); + + // Warm run on both — both should hit. + long hitsBefore = ciHits(cold); + executePpl(pplA); + executePpl(pplB); + JsonNode warm = stats(); + assertTrue("cross-index: CI hits must increase after warm queries on both indices", + ciHits(warm) > hitsBefore); + + // Clearing index A's entries via prefix eviction must not affect index B. + // (Index B has different file path prefix so its entries survive.) + executePpl(pplB); // ensure B is warm + long bHitsBefore = ciHits(stats()); + // Simulate an eviction for INDEX_NAME by clearing all and re-running only B. + clearAllCaches(); + executePpl(pplA); // re-populates A + executePpl(pplB); // should hit from re-populated B after cache clear + // B's entries are fresh misses after the clear — that's expected and correct. + assertPositive("cross-index: B CI misses after full clear", ciMisses(stats())); + } finally { + try { client().performRequest(new Request("DELETE", "/" + INDEX_B)); } catch (Exception ignored) {} + } + } + + /** + * Cache sized to hold exactly one index's worth of entries (tight budget). + * Concurrent queries on INDEX_NAME and INDEX_B put the FIFO write lock under + * contention while eviction fires. After all queries: + *

        + *
      • used_bytes must not exceed the limit (correctness under eviction).
        • + *
      • Both indices must still return correct query results (cache is optional).
        • + *
      • Cache stats must be internally consistent (no phantom entries).
        • + *
      + * + *

      The budget is set to approximately the size of CI entries for one index so + * inserting B's entries forces eviction of A's (or vice versa) — exercising the + * FIFO drain path under concurrent inserts. + */ + public void testCacheContetionTwoIndicesOneTightBudget() throws Exception { + try { client().performRequest(new Request("DELETE", "/" + INDEX_B)); } catch (Exception ignored) {} + provisionNamedIndex(INDEX_B); + try { + // Set a tight budget: ~500 bytes — enough for a handful of entries but not all. + // A typical CI entry for an integer column with 2000 rows is ~100-500 bytes. + // This forces eviction when both indices push entries concurrently. + setCacheTotalSize("2kb"); + clearAllCaches(); + assertCacheEmpty(); + + String pplA1 = "source=" + INDEX_NAME + " | where age > 80 | stats count()"; + String pplA2 = "source=" + INDEX_NAME + " | where score > 75.0 | stats count()"; + String pplB1 = "source=" + INDEX_B + " | where age > 60 | stats count()"; + String pplB2 = "source=" + INDEX_B + " | where score > 60.0 | stats count()"; + + // Interleave queries on both indices — drives concurrent cache inserts + evictions. + for (int i = 0; i < 3; i++) { + executePpl(pplA1); + executePpl(pplB1); + executePpl(pplA2); + executePpl(pplB2); + // Interleave refreshes to create new segments. + if (i == 1) { + client().performRequest(new Request("POST", "/" + INDEX_NAME + "/_refresh")); + client().performRequest(new Request("POST", "/" + INDEX_B + "/_refresh")); + } + } + + JsonNode s = stats(); + long limit = s.get("column_index_cache").get("size_limit_bytes").asLong(); + long usedBytes = s.get("column_index_cache").get("memory_bytes").asLong(); + + // Correctness: cache must never exceed its limit. + assertTrue( + "CI used_bytes=" + usedBytes + " must be <= size_limit_bytes=" + limit, + usedBytes <= limit + ); + + // Result correctness: queries must return valid results regardless of eviction. + // Re-run all queries — they must not error even if the cache is empty. + executePpl(pplA1); + executePpl(pplA2); + executePpl(pplB1); + executePpl(pplB2); + + } finally { + restoreCacheDefaults(); + clearAllCaches(); + try { client().performRequest(new Request("DELETE", "/" + INDEX_B)); } catch (Exception ignored) {} + } + } + + /** Provision a named parquet index with the same schema as the main test index. */ + private void provisionNamedIndex(String indexName) throws IOException { + String body = "{" + + "\"settings\":{" + + " \"number_of_shards\":1,\"number_of_replicas\":0," + + " \"index.pluggable.dataformat.enabled\":true," + + " \"index.pluggable.dataformat\":\"composite\"," + + " \"index.composite.primary_data_format\":\"parquet\"," + + " \"index.composite.secondary_data_formats\":\"lucene\"" + + "}," + + "\"mappings\":{\"properties\":{" + + " \"name\":{\"type\":\"keyword\"}," + + " \"age\":{\"type\":\"integer\"}," + + " \"score\":{\"type\":\"double\"}," + + " \"city\":{\"type\":\"keyword\"}" + + "}}}"; + Request create = new Request("PUT", "/" + indexName); + create.setJsonEntity(body); + assertOkAndParse(client().performRequest(create), "create " + indexName); + + Request health = new Request("GET", "/_cluster/health/" + indexName); + health.addParameter("wait_for_status", "green"); + health.addParameter("timeout", "30s"); + client().performRequest(health); + + String[] cities = {"seattle", "portland", "denver", "austin", "boston"}; + StringBuilder bulk = new StringBuilder(); + for (int i = 0; i < DOC_COUNT; i++) { + bulk.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(i) + .append("\",\"age\":").append(i % 100) + .append(",\"score\":").append(50.0 + (i % 50)) + .append(",\"city\":\"").append(cities[i % cities.length]) + .append("\"}\n"); + } + Request bulkReq = new Request("POST", "/" + indexName + "/_bulk"); + bulkReq.setJsonEntity(bulk.toString()); + bulkReq.addParameter("refresh", "true"); + bulkReq.setOptions(bulkReq.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map r = assertOkAndParse(client().performRequest(bulkReq), "bulk " + indexName); + assertEquals(indexName + " bulk errors", false, r.get("errors")); + } + + // ── full enabled → disabled lifecycle loop ──────────────────────────────── + + /** + * Full lifecycle covering listing + indexed paths through enabled → disabled → re-enabled: + * + * 

      +     * Phase 1 — ENABLED, listing path
+     *   recreate → clear → assertCacheEmpty (refresh did NOT fill)
+     *   query → assert metadata populated, CI misses > 0
+     *   query again → assert CI hits > 0 (warm)
+     *
+     * Phase 2 — ENABLED, indexed path  (same data, same caches still live)
+     *   match() query → CI/OI misses or hits recorded (cumulative)
+     *   match() query again → hits increase
+     *
+     * Phase 3 — DISABLE  (auto-clear CI/OI)
+     *   assert CI entries = 0, OI entries = 0 immediately
+     *   assert metadata still present (not cleared by disabling)
+     *
+     * Phase 4 — DISABLED, listing path
+     *   recreate → clear → assertCacheEmpty
+     *   query → assert metadata populated AND larger than enabled baseline
+     *   assert CI = 0, OI = 0
+     *
+     * Phase 5 — DISABLED, indexed path
+     *   recreate → clear → assertCacheEmpty
+     *   match() query → metadata larger than enabled, CI = 0, OI = 0
+     *
+     * Phase 6 — RE-ENABLE
+     *   recreate → clear → assertCacheEmpty
+     *   query → CI misses fill again (confirms scoped cache is back)
+     *
      + */ + public void testFullLifecycleEnabledDisabledReenabled() throws Exception { + String listingPpl = "source=" + INDEX_NAME + " | where age > 90 | stats count()"; + String indexedPpl = "source=" + INDEX_NAME + " | where match(city, 'seattle') and age > 50 | stats count()"; + + // ── Phase 1: ENABLED, listing path ──────────────────────────────── + setScopedPageIndexEnabled(true); + recreateIndex(); + clearAllCaches(); + + // Refresh must NOT fill the scoped cache. + assertZero("P1 refresh: metadata", metaMemoryBytes(stats())); + assertZero("P1 refresh: CI entries", ciEntries(stats())); + assertZero("P1 refresh: OI entries", oiEntries(stats())); + + // Cold listing query. + executePpl(listingPpl); + JsonNode p1cold = stats(); + assertPositive("P1 cold: metadata populated", metaMemoryBytes(p1cold)); + assertPositive("P1 cold: CI misses", ciMisses(p1cold)); + long metaEnabledListing = metaMemoryBytes(p1cold); + + // Warm listing query. + executePpl(listingPpl); + assertPositive("P1 warm: CI hits", ciHits(stats())); + + // ── Phase 2: ENABLED, indexed path ──────────────────────────────── + executePpl(indexedPpl); + JsonNode p2cold = stats(); + long p2coldActivity = ciMisses(p2cold) + oiMisses(p2cold) + ciHits(p2cold) + oiHits(p2cold); + assertPositive("P2 cold indexed: CI/OI activity", p2coldActivity); + + executePpl(indexedPpl); + JsonNode p2warm = stats(); + long p2warmHits = ciHits(p2warm) + oiHits(p2warm); + assertPositive("P2 warm indexed: CI or OI hits", p2warmHits); + + // ── Phase 3: DISABLE ────────────────────────────────────────────── + setScopedPageIndexEnabled(false); + JsonNode p3 = stats(); + assertZero("P3 disable: CI entries auto-cleared", ciEntries(p3)); + assertZero("P3 disable: OI entries auto-cleared", oiEntries(p3)); + // Metadata cache is unaffected by the toggle. + assertPositive("P3 disable: metadata cache still present", metaMemoryBytes(p3)); + + // ── Phase 4: DISABLED, listing path ─────────────────────────────── + recreateIndex(); + clearAllCaches(); + assertZero("P4 before query: metadata", metaMemoryBytes(stats())); + assertZero("P4 before query: CI", ciEntries(stats())); + assertZero("P4 before query: OI", oiEntries(stats())); + + executePpl(listingPpl); + JsonNode p4 = stats(); + long metaDisabledListing = metaMemoryBytes(p4); + assertPositive("P4 disabled listing: metadata populated", metaDisabledListing); + assertTrue( + "P4 disabled listing metadata >= enabled (page index retained): enabled=" + + metaEnabledListing + " disabled=" + metaDisabledListing, + metaDisabledListing >= metaEnabledListing + ); + assertZero("P4 CI hits", ciHits(p4)); + assertZero("P4 CI misses", ciMisses(p4)); + assertZero("P4 OI hits", oiHits(p4)); + assertZero("P4 OI misses", oiMisses(p4)); + + // ── Phase 5: DISABLED, indexed path ─────────────────────────────── + recreateIndex(); + clearAllCaches(); + assertZero("P5 before query: metadata", metaMemoryBytes(stats())); + + executePpl(indexedPpl); + JsonNode p5 = stats(); + long metaDisabledIndexed = metaMemoryBytes(p5); + assertPositive("P5 disabled indexed: metadata populated", metaDisabledIndexed); + assertTrue( + "P5 disabled indexed metadata >= enabled: enabled=" + + metaEnabledListing + " disabled=" + metaDisabledIndexed, + metaDisabledIndexed >= metaEnabledListing + ); + assertZero("P5 CI hits", ciHits(p5)); + assertZero("P5 CI misses", ciMisses(p5)); + assertZero("P5 OI hits", oiHits(p5)); + assertZero("P5 OI misses", oiMisses(p5)); + + // ── Phase 6: RE-ENABLE ──────────────────────────────────────────── + setScopedPageIndexEnabled(true); + recreateIndex(); + clearAllCaches(); + assertZero("P6 before query: metadata", metaMemoryBytes(stats())); + assertZero("P6 before query: CI", ciEntries(stats())); + + executePpl(listingPpl); + JsonNode p6 = stats(); + assertPositive("P6 re-enabled: CI misses (scoped cache back)", ciMisses(p6)); + assertPositive("P6 re-enabled: metadata populated", metaMemoryBytes(p6)); + // Metadata is footer-only again (smaller than disabled). + assertTrue( + "P6 re-enabled metadata must be <= disabled (page index stripped): enabled=" + + metaMemoryBytes(p6) + " disabled=" + metaDisabledListing, + metaMemoryBytes(p6) <= metaDisabledListing + ); + } + + // ── pure Lucene path (no parquet scan) ─────────────────────────────────── + + /** + * {@code match(city, 'seattle') | stats count()} can be satisfied entirely by + * Lucene's inverted index without touching the parquet files, so neither CI + * nor OI should be populated. No parquet IO means no page-index loading. + */ + public void testPureLuceneCountQueryProducesNoCacheActivity() throws Exception { + clearAllCaches(); + assertCacheEmpty(); + + // match() + count(*) — Lucene satisfies this without scanning parquet pages + String ppl = "source=" + INDEX_NAME + " | where match(city, 'seattle') | stats count()"; + executePpl(ppl); + executePpl(ppl); + + JsonNode s = stats(); + assertZero("pure Lucene count: CI hits must be 0", ciHits(s)); + assertZero("pure Lucene count: CI misses must be 0", ciMisses(s)); + assertZero("pure Lucene count: OI hits must be 0", oiHits(s)); + assertZero("pure Lucene count: OI misses must be 0", oiMisses(s)); + assertZero("pure Lucene count: CI entries must be 0", ciEntries(s)); + assertZero("pure Lucene count: OI entries must be 0", oiEntries(s)); + } + + /** + * Aggregation whose {@code case(...)} expression reads a column that is NOT in the + * group-by/projection list must still scan that column correctly. + * + *

      Regression test for a scoped-OffsetIndex bug: the optimizer derived the scan's read set + * from the projected output field names, but with expression push-down the projection + * contains computed fields like {@code CASE WHEN status = 200 ...} whose names are not file + * columns. The base column the CASE reads ({@code age}/{@code score} here) was therefore left + * out of the scoped OffsetIndex and got a single-page placeholder. When the scan actually read + * that column, arrow decoded the whole chunk as one page and failed with + * "provided output is too small for the decompressed data" (HTTP 500). + * + *

      Two variants exercise both factory-install paths: + *

        + *
      • Listing path — numeric predicate keeps the scan on the listing/parquet path.
        • + *
      • Indexed path — {@code match()} routes through the Lucene-indexed executor, which wires + * the scoped page index via a different code path ({@code collect_plan_column_names}).
        • + *
      + * Each query groups by one column while a {@code case()} reads a different, non-projected one; + * {@code executePpl} asserts HTTP 200, so a decompression failure fails the test. + */ + public void testCaseAggregationOnNonProjectedColumnListingPath() throws Exception { + clearAllCaches(); + // Listing path (mirrors api_metrics Q1/Q7): NO predicate, group by city, the case() + // aggregations read `age`/`score` which are not otherwise projected. Projection push-down + // makes the scan project {city, CASE(age...), CASE(score...)} — the CASE fields are not + // file columns, so the buggy name-based read-set inference dropped age/score and gave them + // a placeholder OffsetIndex, corrupting the page read. + String listing = "source=" + INDEX_NAME + + " | stats count() as total, sum(case(age > 50, 1 else 0)) as old," + + " sum(case(score > 75.0, 1 else 0)) as hi by city" + + " | eval old_rate = round(old * 100.0 / total, 2)" + + " | fields city, total, old_rate"; + executePpl(listing); + executePpl(listing); // warm: exercise the cached-OI path too + } + + public void testCaseAggregationOnNonProjectedColumnIndexedPath() throws Exception { + clearAllCaches(); + // Indexed path: match() routes through the Lucene-indexed executor, which wires the scoped + // page index via a different code path than the listing optimizer. Same hazard: the case() + // aggregations read `age`/`score`, which are not in the group-by/projection list. + String indexed = "source=" + INDEX_NAME + + " | where match(city, 'seattle') | stats count() as total," + + " sum(case(age > 50, 1 else 0)) as old, sum(case(score > 75.0, 1 else 0)) as hi by city" + + " | fields city, total, old, hi"; + executePpl(indexed); + executePpl(indexed); // warm + } + + /** + * Delegated keyword-equality predicate produces NO scoped cache activity. + * + *

      This is the converse of {@link #testStringFieldFilterFillsColumnIndex}: with the default + * delegation block-list (EQUALS is NOT blocked), {@code city = 'seattle'} on a keyword field is + * answered by Lucene's inverted index. The parquet file is never scanned for that predicate, so + * neither the ColumnIndex nor the OffsetIndex scoped cache should record any hit, miss, or entry. + * + *

      Guards against a regression where a delegated string predicate still triggers a parquet + * page-index load (which would defeat the point of delegation and waste cache budget). + */ + public void testDelegatedStringPredicateProducesNoOffsetIndexActivity() throws Exception { + // Be explicit that EQUALS is delegated to Lucene (this is also the cluster default). + setLuceneBlockedPredicates(); + clearAllCaches(); + assertCacheEmpty(); + + String ppl = "source=" + INDEX_NAME + " | where city = 'seattle' | stats count()"; + executePpl(ppl); + executePpl(ppl); + + JsonNode s = stats(); + // The predicate went to Lucene; parquet pages were never read. + assertZero("delegated EQUALS: OI hits must be 0", oiHits(s)); + assertZero("delegated EQUALS: OI misses must be 0", oiMisses(s)); + assertZero("delegated EQUALS: OI entries must be 0", oiEntries(s)); + assertZero("delegated EQUALS: CI hits must be 0", ciHits(s)); + assertZero("delegated EQUALS: CI misses must be 0", ciMisses(s)); + assertZero("delegated EQUALS: CI entries must be 0", ciEntries(s)); + } + + // ── tiny cache limits — correctness under eviction pressure ────────────── + + /** + * Set the total metadata-index cache budget to a handful of bytes so every entry is + * guaranteed to be rejected on insert (CI entry size = column_index_length bytes from the + * parquet footer, always ≥ tens of bytes; OI entry size = offset_index_length, likewise). + * When an entry's {@code size > limit} the Rust cache skips the insert — every access is a + * miss, {@code used_bytes} stays 0, {@code entry_count} stays 0. + * + *

      The budget is split across the sub-caches by fixed percentages (CI 13%, OI 34%) with + * integer truncation, and the native limit setters IGNORE a zero limit (treating it as + * "unset" and keeping the default multi-MB budget). So a 1-byte total would truncate both + * shares to 0 and leave the real caches huge. We use 8 bytes instead: CI → 8×13/100 = 1 byte, + * OI → 8×34/100 = 2 bytes — both non-zero (honored) yet far below any real entry, which is + * exactly the "reject everything" regime this test needs. + * + *

      Queries must still return correct results — the cache is a performance + * optimisation, not a correctness dependency. The parquet reader falls back to + * loading page-index bytes fresh from the object store on every query. + */ + public void testQueriesCorrectWithTinyCacheLimits() throws Exception { + // 8b → CI limit 1b, OI limit 2b: tiny but non-zero, so every entry is larger and rejected. + // The cluster-settings PUT is acknowledged only after every node has applied the update and + // run the cache-limit consumer, so the scoped limits are already live when this returns. + setCacheTotalSize("8b"); + try { + clearAllCaches(); + + // Listing path predicate — misses every time, never gets cached. + String listing = "source=" + INDEX_NAME + " | where age > 90 | stats count()"; + executePpl(listing); + JsonNode s1 = stats(); + // size_limit_bytes must reflect the configured tiny per-cache limit (% of 8b), + // small enough that no entry can ever fit. + assertTrue("CI size_limit_bytes must be tiny (<= 8) under 8b budget", + s1.get("column_index_cache").get("size_limit_bytes").asLong() <= 8L); + assertTrue("OI size_limit_bytes must be tiny (<= 8) under 8b budget", + s1.get("offset_index_cache").get("size_limit_bytes").asLong() <= 8L); + // Entries must be 0 — entries are too large to fit, so nothing is stored. + assertEquals("CI entry_count must be 0 (entries too large for 1b limit)", + 0L, ciEntries(s1)); + assertEquals("OI entry_count must be 0 (entries too large for 1b limit)", + 0L, oiEntries(s1)); + // used_bytes must be 0 — nothing was stored. + assertEquals("CI memory_bytes must be 0", 0L, + s1.get("column_index_cache").get("memory_bytes").asLong()); + assertEquals("OI memory_bytes must be 0", 0L, + s1.get("offset_index_cache").get("memory_bytes").asLong()); + // All accesses are misses since nothing is ever cached. + assertPositive("CI misses must be > 0 with 1b limit", ciMisses(s1)); + assertPositive("OI misses must be > 0 with 1b limit", oiMisses(s1)); + + // Second run — still all misses (nothing was cached from first run). + executePpl(listing); + JsonNode s2 = stats(); + assertEquals("CI hits must remain 0 — nothing fits in 1b cache", 0L, ciHits(s2)); + assertEquals("OI hits must remain 0 — nothing fits in 1b cache", 0L, oiHits(s2)); + assertTrue("CI misses must increase on second run", ciMisses(s2) > ciMisses(s1)); + + // Indexed path — must also work correctly with evicted cache. + String indexed = "source=" + INDEX_NAME + " | where match(city, 'seattle') and age > 50 | stats count()"; + executePpl(indexed); + executePpl(indexed); + + // Projection-only — must work correctly. + String proj = "source=" + INDEX_NAME + " | fields name, score | head 10"; + executePpl(proj); + + // Pure Lucene count — must still work (does not touch CI/OI at all). + String lucene = "source=" + INDEX_NAME + " | where match(city, 'seattle') | stats count()"; + executePpl(lucene); + + } finally { + restoreCacheDefaults(); + clearAllCaches(); + } + } + + // ── cache clear ─────────────────────────────────────────────────────────── + + /** Explicit CI clear resets hit counter; next query is a miss again. */ + public void testClearColumnIndexResetsToMiss() throws Exception { + String ppl = "source=" + INDEX_NAME + " | where age > 90 | stats count()"; + + executePpl(ppl); + executePpl(ppl); + long hitsBefore = ciHits(stats()); + assertTrue("must have hits before clear", hitsBefore > 0); + + clearColumnCaches(); + assertEquals("CI hits reset to 0 after clear", 0L, ciHits(stats())); + + executePpl(ppl); + assertTrue("re-run after clear produces misses", ciMisses(stats()) > 0); + } + + // ── stats shape ─────────────────────────────────────────────────────────── + + /** Stats endpoint exposes column_index_cache and offset_index_cache with expected fields. */ + public void testStatsShapeHasBothCacheGroups() throws Exception { + executePpl("source=" + INDEX_NAME + " | where age > 50 | stats count()"); + + JsonNode s = stats(); + for (String group : new String[]{"column_index_cache", "offset_index_cache"}) { + JsonNode block = s.get(group); + assertNotNull(group + " block missing", block); + for (String field : new String[]{"hit_count", "miss_count", "entry_count", "memory_bytes", "size_limit_bytes", "hit_rate"}) { + assertTrue(group + "." + field + " missing", block.has(field)); + } + } + } + + // ── reusable assertion helpers ──────────────────────────────────────────── + + /** + * Run {@code ppl} cold (caches assumed empty by caller) and assert that both CI and OI fill. + * + *

      OI is built for {@code predicate ∪ projection ∪ {col 0}}, so any predicate query + * produces OI misses in addition to CI misses — even if no explicit {@code fields} clause + * is present. + */ + private void assertCacheFillsOnCold(String ppl) throws Exception { + executePpl(ppl); + JsonNode cold = stats(); + assertPositive("cold CI misses for: " + ppl, ciMisses(cold)); + assertPositive("cold OI misses for: " + ppl, oiMisses(cold)); + assertPositive("cold metadata populated for: " + ppl, metaMemoryBytes(cold)); + } + + /** + * Run {@code ppl} a second time (cache already warm) and assert that both CI and OI hit. + * OI is keyed by (file, col) — same file+col on a repeat query is a guaranteed hit. + */ + private void assertCacheHitsOnWarm(String ppl) throws Exception { + executePpl(ppl); + JsonNode warm = stats(); + assertPositive("warm CI hits for: " + ppl, ciHits(warm)); + assertPositive("warm OI hits for: " + ppl, oiHits(warm)); + } + + /** + * Run {@code ppl} twice with scoped disabled (CI/OI = 0 each time). + * Does NOT clear or assert metadata — the caller controls surrounding state. + */ + @SuppressWarnings("unused") + private void assertScopedDisabled(String ppl) throws Exception { + executePpl(ppl); + JsonNode s1 = stats(); + assertZero("disabled CI misses run1: " + ppl, ciMisses(s1)); + assertZero("disabled OI misses run1: " + ppl, oiMisses(s1)); + + executePpl(ppl); + JsonNode s2 = stats(); + assertZero("disabled CI hits run2: " + ppl, ciHits(s2)); + assertZero("disabled OI hits run2: " + ppl, oiHits(s2)); + } + + /** + * Assert that all scoped cache counters and metadata memory are zero (i.e. caches are empty). + * Call this after {@link #clearAllCaches()} to confirm the clear took effect before measuring. + */ + private void assertCacheEmpty() throws Exception { + JsonNode s = stats(); + assertZero("assertCacheEmpty: metadata memory", metaMemoryBytes(s)); + assertZero("assertCacheEmpty: CI entries", ciEntries(s)); + assertZero("assertCacheEmpty: OI entries", oiEntries(s)); + } + + /** + * Run {@code ppl} and assert that ONLY the OffsetIndex fills: OI misses > 0 and CI misses == 0. + * Intended for projection-only queries that carry no predicate. + */ + private void assertOnlyOiFills(String ppl) throws Exception { + executePpl(ppl); + JsonNode s = stats(); + assertPositive("assertOnlyOiFills: OI misses > 0 for: " + ppl, oiMisses(s)); + assertZero("assertOnlyOiFills: CI misses must be 0 for: " + ppl, ciMisses(s)); + } + + // ── index lifecycle helpers ─────────────────────────────────────────────── + + /** + * Delete, recreate, and bulk-index {@value #DOC_COUNT} documents with refresh=true. + * Every test that needs a clean state calls this explicitly. + */ + private void recreateIndex() throws IOException { + try { client().performRequest(new Request("DELETE", "/" + INDEX_NAME)); } catch (Exception ignored) {} + + String body = "{" + + "\"settings\":{" + + " \"number_of_shards\":1,\"number_of_replicas\":0," + + " \"index.pluggable.dataformat.enabled\":true," + + " \"index.pluggable.dataformat\":\"composite\"," + + " \"index.composite.primary_data_format\":\"parquet\"," + + " \"index.composite.secondary_data_formats\":\"lucene\"" + + "}," + + "\"mappings\":{\"properties\":{" + + " \"name\":{\"type\":\"keyword\"}," + + " \"age\":{\"type\":\"integer\"}," + + " \"score\":{\"type\":\"double\"}," + + " \"city\":{\"type\":\"keyword\"}" + + "}}}"; + + Request create = new Request("PUT", "/" + INDEX_NAME); + create.setJsonEntity(body); + assertOkAndParse(client().performRequest(create), "create index"); + + Request health = new Request("GET", "/_cluster/health/" + INDEX_NAME); + health.addParameter("wait_for_status", "green"); + health.addParameter("timeout", "30s"); + client().performRequest(health); + + String[] cities = {"seattle", "portland", "denver", "austin", "boston"}; + int batchSize = 500; + for (int batch = 0; batch < DOC_COUNT / batchSize; batch++) { + boolean lastBatch = batch == (DOC_COUNT / batchSize - 1); + StringBuilder bulk = new StringBuilder(); + for (int i = 0; i < batchSize; i++) { + int id = batch * batchSize + i; + bulk.append("{\"index\":{}}\n") + .append("{\"name\":\"user").append(id) + .append("\",\"age\":").append(id % 100) + .append(",\"score\":").append(50.0 + (id % 50)) + .append(",\"city\":\"").append(cities[id % cities.length]) + .append("\"}\n"); + } + Request bulkReq = new Request("POST", "/" + INDEX_NAME + "/_bulk"); + bulkReq.setJsonEntity(bulk.toString()); + bulkReq.addParameter("refresh", lastBatch ? "true" : "false"); + bulkReq.setOptions(bulkReq.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build()); + Map r = assertOkAndParse(client().performRequest(bulkReq), "bulk batch " + batch); + assertEquals("bulk batch " + batch + " errors", false, r.get("errors")); + } + } + + /** Set the total metadata-index cache budget (e.g. {@code "100b"}, {@code "500mb"}). */ + private void setCacheTotalSize(String size) throws IOException { + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity("{\"persistent\":{\"datafusion.metadata_index_cache.total_size\":\"" + size + "\"}}"); + client().performRequest(req); + } + + /** + * Restore the total metadata-index cache budget to the cluster default (null = derive from AC). + * The cluster-settings PUT is acknowledged only after every node has applied the update and run + * the cache-limit consumer, so the large default scoped limits are live again on return. + */ + private void restoreCacheDefaults() throws IOException { + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity("{\"persistent\":{\"datafusion.metadata_index_cache.total_size\":null}}"); + client().performRequest(req); + } + + /** + * Block the given predicate functions from being delegated to the Lucene backend. + * + *

      String fields (keyword/text) route their predicates to Lucene's inverted index by + * default, so a predicate like {@code city = 'seattle'} is answered by Lucene and never + * scans the parquet file — meaning it never loads the parquet ColumnIndex. Blocking the + * predicate (e.g. {@code EQUALS}) forces the planner to leave it on the DataFusion/parquet + * backend, which is what fills the scoped ColumnIndex cache. Pass an empty list to clear. + */ + private void setLuceneBlockedPredicates(String... predicates) throws IOException { + StringBuilder arr = new StringBuilder("["); + for (int i = 0; i < predicates.length; i++) { + if (i > 0) arr.append(','); + arr.append('"').append(predicates[i]).append('"'); + } + arr.append(']'); + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity("{\"persistent\":{\"analytics.delegation.lucene.blocked_predicates\":" + arr + "}}"); + client().performRequest(req); + } + + /** Restore the Lucene delegation block-list to the cluster default (null clears the override). */ + private void restoreLuceneBlockedPredicates() throws IOException { + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity("{\"persistent\":{\"analytics.delegation.lucene.blocked_predicates\":null}}"); + client().performRequest(req); + } + + private void setScopedPageIndexEnabled(boolean enabled) throws IOException { + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity("{\"persistent\":{\"datafusion.scoped_page_index.enabled\":" + enabled + "}}"); + client().performRequest(req); + } + + private void clearAllCaches() throws IOException { + client().performRequest(new Request("POST", CLEAR_ENDPOINT)); + } + + private void clearColumnCaches() throws IOException { + client().performRequest(new Request("POST", CLEAR_ENDPOINT + "?column=true")); + } + + /** + * Fetches DataFusion cache stats aggregated across all nodes in the cluster. + * + *

      The test cluster runs with multiple nodes but the test index has a single shard, + * so the parquet scan that fills the scoped CI/OI caches (process-global per JVM) and + * the per-runtime metadata cache only happens on the node that hosts that shard. The + * caches therefore live on one specific node, while the round-robin REST client may + * route a {@code _local} stats request to any node. Reading a single node's stats would + * intermittently observe an empty cache simply because the request landed on a node that + * never ran the scan. + * + *

      To make the measurements deterministic we query the cluster-wide stats endpoint + * (all nodes) and sum each cache counter across every node. Cluster-wide sums are exactly + * what the assertions want: cache activity is non-zero iff some node did the work, + * and {@code clearAllCaches()} broadcasts to every node so cleared sums are zero everywhere. + */ + private JsonNode stats() throws Exception { + Response response = client().performRequest( + new Request("GET", "/_plugins/_analytics_backend_datafusion/stats") + ); + JsonNode root = MAPPER.readTree(EntityUtils.toString(response.getEntity())); + JsonNode nodes = root.get("nodes"); + assertNotNull("nodes block missing", nodes); + + // Combine each cache group's fields across all nodes into a synthetic cache_stats + // object with the same shape the accessor helpers expect. Counters (hit_count, + // miss_count, entry_count, memory_bytes) accumulate across the cluster, so they are + // SUMMED. size_limit_bytes is a per-node capacity (every node configures the same + // budget), so it is taken as the MAX rather than summed — otherwise an N-node cluster + // would report N× the configured limit. + com.fasterxml.jackson.databind.node.ObjectNode aggregate = MAPPER.createObjectNode(); + for (JsonNode node : nodes) { + JsonNode cacheStats = node.get("cache_stats"); + if (cacheStats == null) { + continue; + } + cacheStats.fieldNames().forEachRemaining(group -> { + JsonNode groupNode = cacheStats.get(group); + if (groupNode == null || !groupNode.isObject()) { + return; + } + com.fasterxml.jackson.databind.node.ObjectNode aggGroup = aggregate.has(group) + ? (com.fasterxml.jackson.databind.node.ObjectNode) aggregate.get(group) + : aggregate.putObject(group); + groupNode.fieldNames().forEachRemaining(field -> { + JsonNode value = groupNode.get(field); + if (value != null && value.isNumber()) { + long prev = aggGroup.path(field).asLong(0L); + long combined = "size_limit_bytes".equals(field) + ? Math.max(prev, value.asLong()) + : prev + value.asLong(); + aggGroup.put(field, combined); + } + }); + }); + } + assertTrue("cache_stats block missing on every node", aggregate.size() > 0); + return aggregate; + } + + // ── low-level assertion utilities ───────────────────────────────────────── + + private void assertZero(String msg, long v) { assertEquals(msg + " must be 0, got " + v, 0L, v); } + private void assertPositive(String msg, long v) { assertTrue(msg + " must be > 0, got " + v, v > 0); } + + /** + * Assert exact entry count with an informative message. + * + *

      CI key = (file, col, rg) so expectedCi = files × predicateCols × rowGroupsPerFile. + * OI key = (file, col) so expectedOi = files × projectionCols. + * + *

      With DOC_COUNT=2000 on a single shard and a single refresh the data lands in one + * parquet segment with one row group (2000 rows well under the default 1M-row row-group limit), so: + *

        + *
      • 1 predicate col → CI entries = 1
        • + *
      • N projection cols → OI entries = N
        • + *
      + * For multi-segment scenarios (two separate refreshes before merge) multiply by the + * number of segments. + */ + private void assertExactCiEntries(String msg, long expected) throws Exception { + assertEquals(msg, expected, ciEntries(stats())); + } + + private void assertExactOiEntries(String msg, long expected) throws Exception { + assertEquals(msg, expected, oiEntries(stats())); + } + + // ── stat accessor shorthands ────────────────────────────────────────────── + + private long ciHits(JsonNode s) { return s.get("column_index_cache").get("hit_count").asLong(); } + private long ciMisses(JsonNode s) { return s.get("column_index_cache").get("miss_count").asLong(); } + private long ciEntries(JsonNode s) { return s.get("column_index_cache").get("entry_count").asLong(); } + private long oiHits(JsonNode s) { return s.get("offset_index_cache").get("hit_count").asLong(); } + private long oiMisses(JsonNode s) { return s.get("offset_index_cache").get("miss_count").asLong(); } + private long oiEntries(JsonNode s) { return s.get("offset_index_cache").get("entry_count").asLong(); } + private long metaMemoryBytes(JsonNode s) { return s.get("metadata_cache").get("memory_bytes").asLong(); } +} From 416fb84a10896f6c2f7f12d8439c01a9a886596f Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Tue, 23 Jun 2026 11:28:41 +0530 Subject: [PATCH 29/94] [DFAE] Always reconcile version map & checkpoint tracker on composite engine open (#22281) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan --- .../org/opensearch/index/engine/DataFormatAwareEngine.java | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index 54c8699356231..9566952273942 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -484,10 +484,8 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { } ); - // Restore version map and checkpoint tracker after crash recovery. - if (localCheckpointTracker.getPersistedCheckpoint() < localCheckpointTracker.getMaxSeqNo()) { - restoreVersionMapAndCheckpointTracker(); - } + // Restore version map and checkpoint tracker after recovery. + restoreVersionMapAndCheckpointTracker(); // Merge failure cleanup: cleans up unreferenced files and acts as a safety net // for refreshLock. The preMergeCommitHook acquires refreshLock on the merge thread; From 8919d539f397be3a898cb9350e991f9927f6fdcb Mon Sep 17 00:00:00 2001 From: Vinay Krishna Pudyodu Date: Mon, 22 Jun 2026 23:49:04 -0700 Subject: [PATCH 30/94] Fix clickbench ppl queries (#22239) Signed-off-by: Vinay Krishna Pudyodu --- .../analytics/qa/PplClickBenchIT.java | 9 +- .../resources/datasets/clickbench/bulk.json | 92 ++++++++ .../datasets/clickbench/ppl/expected/q1.json | 4 +- .../datasets/clickbench/ppl/expected/q10.json | 74 ++++++ .../datasets/clickbench/ppl/expected/q11.json | 32 +++ .../datasets/clickbench/ppl/expected/q12.json | 54 +++++ .../datasets/clickbench/ppl/expected/q13.json | 16 ++ .../datasets/clickbench/ppl/expected/q14.json | 16 ++ .../datasets/clickbench/ppl/expected/q15.json | 34 +++ .../datasets/clickbench/ppl/expected/q16.json | 44 ++++ .../datasets/clickbench/ppl/expected/q17.json | 54 +++++ .../datasets/clickbench/ppl/expected/q18.json | 54 +++++ .../datasets/clickbench/ppl/expected/q19.json | 64 ++++++ .../datasets/clickbench/ppl/expected/q2.json | 4 +- .../datasets/clickbench/ppl/expected/q20.json | 7 + .../datasets/clickbench/ppl/expected/q21.json | 7 + .../datasets/clickbench/ppl/expected/q22.json | 8 + .../datasets/clickbench/ppl/expected/q23.json | 9 + .../datasets/clickbench/ppl/expected/q24.json | 214 ++++++++++++++++++ .../datasets/clickbench/ppl/expected/q25.json | 28 +++ .../datasets/clickbench/ppl/expected/q26.json | 28 +++ .../datasets/clickbench/ppl/expected/q27.json | 28 +++ .../datasets/clickbench/ppl/expected/q28.json | 14 ++ .../datasets/clickbench/ppl/expected/q29.json | 34 +++ .../datasets/clickbench/ppl/expected/q3.json | 9 + .../datasets/clickbench/ppl/expected/q30.json | 16 ++ .../datasets/clickbench/ppl/expected/q31.json | 46 ++++ .../datasets/clickbench/ppl/expected/q32.json | 60 +++++ .../datasets/clickbench/ppl/expected/q33.json | 74 ++++++ .../datasets/clickbench/ppl/expected/q34.json | 44 ++++ .../datasets/clickbench/ppl/expected/q35.json | 54 +++++ .../datasets/clickbench/ppl/expected/q36.json | 74 ++++++ .../datasets/clickbench/ppl/expected/q37.json | 44 ++++ .../datasets/clickbench/ppl/expected/q38.json | 44 ++++ .../datasets/clickbench/ppl/expected/q39.json | 40 ++++ .../datasets/clickbench/ppl/expected/q4.json | 7 + .../datasets/clickbench/ppl/expected/q40.json | 84 +++++++ .../datasets/clickbench/ppl/expected/q41.json | 34 +++ .../datasets/clickbench/ppl/expected/q42.json | 39 ++++ .../datasets/clickbench/ppl/expected/q43.json | 44 ++++ .../datasets/clickbench/ppl/expected/q5.json | 7 + .../datasets/clickbench/ppl/expected/q6.json | 7 + .../datasets/clickbench/ppl/expected/q7.json | 8 + .../datasets/clickbench/ppl/expected/q8.json | 120 ++++++++++ .../datasets/clickbench/ppl/expected/q9.json | 44 ++++ .../resources/datasets/clickbench/ppl/q10.ppl | 2 +- .../resources/datasets/clickbench/ppl/q12.ppl | 2 +- .../resources/datasets/clickbench/ppl/q15.ppl | 2 +- .../resources/datasets/clickbench/ppl/q16.ppl | 2 +- .../resources/datasets/clickbench/ppl/q17.ppl | 2 +- .../resources/datasets/clickbench/ppl/q18.ppl | 2 +- .../resources/datasets/clickbench/ppl/q19.ppl | 2 +- .../resources/datasets/clickbench/ppl/q28.ppl | 2 +- .../resources/datasets/clickbench/ppl/q29.ppl | 2 +- .../resources/datasets/clickbench/ppl/q31.ppl | 2 +- .../resources/datasets/clickbench/ppl/q33.ppl | 2 +- .../resources/datasets/clickbench/ppl/q34.ppl | 2 +- .../resources/datasets/clickbench/ppl/q36.ppl | 2 +- .../resources/datasets/clickbench/ppl/q37.ppl | 2 +- .../resources/datasets/clickbench/ppl/q38.ppl | 2 +- .../resources/datasets/clickbench/ppl/q39.ppl | 2 +- .../resources/datasets/clickbench/ppl/q40.ppl | 2 +- .../resources/datasets/clickbench/ppl/q41.ppl | 2 +- .../resources/datasets/clickbench/ppl/q42.ppl | 2 +- .../resources/datasets/clickbench/ppl/q43.ppl | 2 +- .../resources/datasets/clickbench/ppl/q8.ppl | 2 +- .../resources/datasets/clickbench/ppl/q9.ppl | 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sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q18.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q19.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q20.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q21.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q22.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q23.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q24.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q25.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q26.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q27.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q28.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q29.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q3.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q30.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q31.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q32.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q33.json create mode 100644 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create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q42.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q43.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q5.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q6.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q7.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q8.json create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q9.json diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java index 04650162fb259..13458a017e570 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java @@ -35,14 +35,7 @@ public class PplClickBenchIT extends AnalyticsRestTestCase { * resources/datasets/clickbench/ppl/. Individual queries can be excluded via * {@link #SKIP_QUERIES} when a feature is genuinely missing rather than broken. */ - // Queries skipped: - // - Q29: Substrait's default aggregate catalog has no min/max binding for string - // types. Isthmus fails with "Unable to find binding for call MIN($1)" when PPL - // emits `min(Referer)` on a VARCHAR column. DataFusion can execute min(Utf8) - // natively — the gap is purely in the Substrait serialization layer. A fix - // would register additional min/max impls covering string types in the loaded - // SimpleExtension.ExtensionCollection at plugin init. - private static final Set SKIP_QUERIES = Set.of(29); + private static final Set SKIP_QUERIES = Set.of(); private static boolean dataProvisioned = false; diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/bulk.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/bulk.json index 32e3d2d6213af..7fb6030d2d2e5 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/bulk.json +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/bulk.json @@ -199,3 +199,95 @@ {"index":{}} 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a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q32.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q32.json new file mode 100644 index 0000000000000..5b8736412c6a1 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q32.json @@ -0,0 +1,60 @@ +{ + "rows": [ + [ + 1, + 0, + 1330.0, + 5001, + 1002 + ], + [ + 1, + 0, + 1340.0, + 5002, + 1000 + ], + [ + 1, + 0, + 1350.0, + 5003, + 1001 + ], + [ + 1, + 0, + 1300.0, + 5002, + 1002 + ], + [ + 1, + 0, + 1310.0, + 5003, + 1000 + ], + [ + 1, + 0, + 1290.0, + 5001, + 1001 + ], + [ + 1, + 0, + 1320.0, + 5000, + 1001 + ], + [ + 1, + 0, + 1280.0, + 5000, + 1000 + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q33.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q33.json new file mode 100644 index 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a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q39.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q39.json new file mode 100644 index 0000000000000..cb10e55729838 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q39.json @@ -0,0 +1,40 @@ +{ + "rows": [ + [ + 2, + "https://test.org/page-1" + ], + [ + 2, + "https://test.org/page-2" + ], + [ + 2, + "https://test.org/page-3" + ], + [ + 2, + "https://test.org/q41-page-2" + ], + [ + 2, + "https://test.org/q42-page-2" + ], + [ + 2, + "https://test.org/q42-page-3" + ], + [ + 2, + "https://test.org/q42-page-4" + ], + [ + 1, + "https://test.org/page-4" + ], + [ + 1, + "https://test.org/page-5" + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q4.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q4.json new 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], + [ + 1, + -1, + 0, + 0, + "https://news.net/article-2", + "https://test.org/page-2" + ], + [ + 1, + -1, + 0, + 0, + "https://news.net/article-2", + "https://test.org/q41-page-0" + ], + [ + 1, + -1, + 0, + 0, + "https://news.net/article-2", + "https://test.org/q41-page-2" + ], + [ + 1, + -1, + 5, + 2, + "", + "https://test.org/q42-page-0" + ], + [ + 1, + -1, + 5, + 2, + "", + "https://test.org/q42-page-2" + ], + [ + 1, + -1, + 5, + 2, + "", + "https://test.org/q42-page-3" + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q41.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q41.json new file mode 100644 index 0000000000000..5ec4392680b43 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q41.json @@ -0,0 +1,34 @@ +{ + "rows": [ + [ + 1, + 4001, + "2013-07-14 00:00:00" + ], + [ + 1, + 4001, + "2013-07-15 00:00:00" + ], + [ + 1, + 4002, + "2013-07-14 00:00:00" + ], + [ + 1, + 4002, + "2013-07-15 00:00:00" + ], + [ + 1, + 4003, + "2013-07-14 00:00:00" + ], + [ + 1, + 4003, + "2013-07-15 00:00:00" + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q42.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q42.json new file mode 100644 index 0000000000000..10205f830bf55 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q42.json @@ -0,0 +1,39 @@ +{ + "rows": [ + [ + 1, + 1200, + 800 + ], + [ + 1, + 1300, + 750 + ], + [ + 1, + 1300, + 850 + ], + [ + 1, + 1400, + 700 + ], + [ + 1, + 1400, + 800 + ], + [ + 1, + 1500, + 750 + ], + [ + 1, + 1500, + 850 + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q43.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q43.json new file 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diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q6.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q6.json new file mode 100644 index 0000000000000..ebcbd002de361 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q6.json @@ -0,0 +1,7 @@ +{ + "rows": [ + [ + 4 + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q7.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q7.json new file mode 100644 index 0000000000000..9ff2572f4a043 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q7.json @@ -0,0 +1,8 @@ +{ + "rows": [ + [ + "2013-07-14 00:00:00", + "2014-07-11 18:38:59.3" + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q8.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q8.json new file mode 100644 index 0000000000000..c18c378339069 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q8.json @@ -0,0 +1,120 @@ +{ + "rows": [ + [ + 11, + 2 + ], + [ + 6, + 15 + ], + [ + 6, + 21 + ], + [ + 6, + 24 + ], + [ + 5, + 4 + ], + [ + 5, + 8 + ], + [ + 5, + 13 + ], + [ + 5, + 19 + ], + [ + 4, + 5 + ], + [ + 4, + 23 + ], + [ + 3, + 1 + ], + [ + 3, + 7 + ], + [ + 3, + 9 + ], + [ + 3, + 10 + ], + [ + 3, + 14 + ], + [ + 3, + 17 + ], + [ + 3, + 27 + ], + [ + 2, + 3 + ], + [ + 2, + 6 + ], + [ + 2, + 11 + ], + [ + 2, + 12 + ], + [ + 2, + 18 + ], + [ + 2, + 20 + ], + [ + 2, + 22 + ], + [ + 2, + 25 + ], + [ + 2, + 26 + ], + [ + 2, + 28 + ], + [ + 2, + 29 + ], + [ + 1, + 16 + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q9.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q9.json new file mode 100644 index 0000000000000..b4fae23926f48 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/expected/q9.json @@ -0,0 +1,44 @@ +{ + "rows": [ + [ + 14, + 1 + ], + [ + 3, + 53 + ], + [ + 3, + 127 + ], + [ + 2, + 8 + ], + [ + 2, + 29 + ], + [ + 2, + 68 + ], + [ + 2, + 76 + ], + [ + 2, + 125 + ], + [ + 2, + 169 + ], + [ + 2, + 174 + ] + ] +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q10.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q10.ppl index a7d0c198dbca7..9eebc0c4e371d 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q10.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q10.ppl @@ -1 +1 @@ -source = clickbench | stats sum(AdvEngineID), count() as c, avg(ResolutionWidth), dc(UserID) by RegionID | sort - c | head 10 +source = clickbench | stats sum(AdvEngineID), count() as c, avg(ResolutionWidth), dc(UserID) by RegionID | sort - c, RegionID | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q12.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q12.ppl index b33534923fe2f..0c92e4dcb81b4 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q12.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q12.ppl @@ -1 +1 @@ -source = clickbench | where MobilePhoneModel != '' | stats dc(UserID) as u by MobilePhone, MobilePhoneModel | sort - u | head 10 +source = clickbench | where MobilePhoneModel != '' | stats dc(UserID) as u by MobilePhone, MobilePhoneModel | sort - u, MobilePhone, MobilePhoneModel | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q15.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q15.ppl index ff6c5c5f9eb07..28098b1878615 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q15.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q15.ppl @@ -1 +1 @@ -source = clickbench | where SearchPhrase != '' | stats count() as c by SearchEngineID, SearchPhrase | sort - c | head 10 +source = clickbench | where SearchPhrase != '' | stats count() as c by SearchEngineID, SearchPhrase | sort - c, SearchEngineID, SearchPhrase | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q16.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q16.ppl index 157e75680e1b1..739e54c75d286 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q16.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q16.ppl @@ -1 +1 @@ -source = clickbench | stats count() by UserID | sort - `count()` | head 10 +source = clickbench | stats count() by UserID | sort - `count()`, UserID | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q17.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q17.ppl index 0ad47efdd3693..df22b10ab127d 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q17.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q17.ppl @@ -1 +1 @@ -source = clickbench | stats count() by UserID, SearchPhrase | sort - `count()` | head 10 +source = clickbench | stats count() by UserID, SearchPhrase | sort - `count()`, UserID, SearchPhrase | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q18.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q18.ppl index 03f06e60e3259..ade1b99a01cb2 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q18.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q18.ppl @@ -1 +1 @@ -source = clickbench | stats count() by UserID, SearchPhrase | head 10 +source = clickbench | stats count() by UserID, SearchPhrase | sort UserID, SearchPhrase | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q19.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q19.ppl index ac7c3cc785ac6..0537d77917d76 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q19.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q19.ppl @@ -1 +1 @@ -source = clickbench | eval m = extract(minute from EventTime) | stats count() by UserID, m, SearchPhrase | sort - `count()` | head 10 +source = clickbench | eval m = extract(minute from EventTime) | stats count() by UserID, m, SearchPhrase | sort - `count()`, UserID, m, SearchPhrase | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q28.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q28.ppl index c93dd211ab90f..f2e60c993ac5a 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q28.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q28.ppl @@ -1 +1 @@ -source = clickbench | where URL != '' | stats avg(length(URL)) as l, count() as c by CounterID | where c > 100000 | sort - l | head 25 +source = clickbench | where URL != '' | stats avg(length(URL)) as l, count() as c by CounterID | where c > 5 | sort - l | head 25 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q29.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q29.ppl index d0f042ef1ef6c..0d3b6d524d502 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q29.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q29.ppl @@ -1 +1 @@ -source = clickbench | where Referer != '' | eval k = regexp_replace(Referer, '^https?://(?:www\\.)?([^/]+)/.*$', '\\1') | stats avg(length(Referer)) as l, count() as c, min(Referer) by k | where c > 100000 | sort - l | head 25 +source = clickbench | where Referer != '' | eval k = regexp_replace(Referer, '^https?://(?:www\\.)?([^/]+)/.*$', '\\1') | stats avg(length(Referer)) as l, count() as c, min(Referer) by k | where c > 5 | sort - l | head 25 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q31.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q31.ppl index 537ec1565bba3..e8541c9b82304 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q31.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q31.ppl @@ -1 +1 @@ -source = clickbench | where SearchPhrase != '' | stats count() as c, sum(IsRefresh), avg(ResolutionWidth) by SearchEngineID, ClientIP | sort - c | head 10 +source = clickbench | where SearchPhrase != '' | stats count() as c, sum(IsRefresh), avg(ResolutionWidth) by SearchEngineID, ClientIP | sort - c, SearchEngineID, ClientIP | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q33.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q33.ppl index 5cadfab7ef0b7..78ad04cebca2d 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q33.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q33.ppl @@ -1 +1 @@ -source = clickbench | stats count() as c, sum(IsRefresh), avg(ResolutionWidth) by WatchID, ClientIP | sort - c | head 10 +source = clickbench | stats count() as c, sum(IsRefresh), avg(ResolutionWidth) by WatchID, ClientIP | sort - c, WatchID, ClientIP | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q34.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q34.ppl index f7f147accb219..31fd74dd3a271 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q34.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q34.ppl @@ -1 +1 @@ -source = clickbench | stats count() as c by URL | sort - c | head 10 +source = clickbench | stats count() as c by URL | sort - c, URL | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q36.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q36.ppl index f9d633e4f5117..5e544a1e54c48 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q36.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q36.ppl @@ -1 +1 @@ -source = clickbench | eval `ClientIP - 1` = ClientIP - 1, `ClientIP - 2` = ClientIP - 2, `ClientIP - 3` = ClientIP - 3 | stats count() as c by ClientIP, `ClientIP - 1`, `ClientIP - 2`, `ClientIP - 3` | sort - c | head 10 +source = clickbench | eval `ClientIP - 1` = ClientIP - 1, `ClientIP - 2` = ClientIP - 2, `ClientIP - 3` = ClientIP - 3 | stats count() as c by ClientIP, `ClientIP - 1`, `ClientIP - 2`, `ClientIP - 3` | sort - c, ClientIP | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q37.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q37.ppl index 0e7e8563285a1..6dbaa807d0251 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q37.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q37.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and DontCountHits = 0 and IsRefresh = 0 and URL != '' | stats count() as PageViews by URL | sort - PageViews | head 10 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and DontCountHits = 0 and IsRefresh = 0 and URL != '' | stats count() as PageViews by URL | sort - PageViews, URL | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q38.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q38.ppl index ea48c98e2bd35..a75e767fe3525 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q38.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q38.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and DontCountHits = 0 and IsRefresh = 0 and Title != '' | stats count() as PageViews by Title | sort - PageViews | head 10 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and DontCountHits = 0 and IsRefresh = 0 and Title != '' | stats count() as PageViews by Title | sort - PageViews, Title | head 10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q39.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q39.ppl index 32b2d3cc3f7b3..e0e21e498ee6d 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q39.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q39.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and IsRefresh = 0 and IsLink != 0 and IsDownload = 0 | stats count() as PageViews by URL | sort - PageViews | head 10 from 1000 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and IsRefresh = 0 and IsLink != 0 and IsDownload = 0 | stats count() as PageViews by URL | sort - PageViews, URL | head 10 from 5 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q40.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q40.ppl index 1327762ad3359..8df5c29cb4ee1 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q40.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q40.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and IsRefresh = 0 | eval Src=case(SearchEngineID = 0 and AdvEngineID = 0, Referer else ''), Dst=URL | stats count() as PageViews by TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst | sort - PageViews | head 10 from 1000 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and IsRefresh = 0 | eval Src=case(SearchEngineID = 0 and AdvEngineID = 0, Referer else ''), Dst=URL | stats count() as PageViews by TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst | sort - PageViews, TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst | head 10 from 5 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q41.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q41.ppl index 17a373f376111..ff66476ad44d3 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q41.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q41.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and IsRefresh = 0 and TraficSourceID in (-1, 6) and RefererHash = 3594120000172545465 | stats count() as PageViews by URLHash, EventDate | sort - PageViews | head 10 from 100 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and IsRefresh = 0 and TraficSourceID in (-1, 6) and RefererHash = 3594120000172545465 | stats count() as PageViews by URLHash, EventDate | sort - PageViews, URLHash, EventDate | head 10 from 2 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q42.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q42.ppl index cff7ee534ad94..137ebc5b29f2d 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q42.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q42.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-31 00:00:00' and IsRefresh = 0 and DontCountHits = 0 and URLHash = 2868770270353813622 | stats count() as PageViews by WindowClientWidth, WindowClientHeight | sort - PageViews | head 10 from 10000 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01' and EventDate <= '2013-07-31' and IsRefresh = 0 and DontCountHits = 0 and URLHash = 2868770270353813622 | stats count() as PageViews by WindowClientWidth, WindowClientHeight | sort - PageViews, WindowClientWidth, WindowClientHeight | head 10 from 5 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q43.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q43.ppl index 990e3450fa713..3fcfa8fbb8f1a 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q43.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q43.ppl @@ -1 +1 @@ -source = clickbench | where CounterID = 62 and EventDate >= '2013-07-01 00:00:00' and EventDate <= '2013-07-15 00:00:00' and IsRefresh = 0 and DontCountHits = 0 | eval M = date_format(EventTime, '%Y-%m-%d %H:00:00') | stats count() as PageViews by M | sort M | head 10 from 1000 +source = clickbench | where CounterID = 62 and EventDate >= '2013-07-14' and EventDate <= '2013-07-15' and IsRefresh = 0 and DontCountHits = 0 | eval M = date_format(EventTime, '%Y-%m-%d %H:%i:00') | stats count() as PageViews by M | sort M | head 10 from 5 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q8.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q8.ppl index 28c29067cd425..38bfd46f8ae27 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q8.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q8.ppl @@ -1 +1 @@ -source = clickbench | where AdvEngineID!=0 | stats count() by AdvEngineID | sort - `count()` +source = clickbench | where AdvEngineID!=0 | stats count() by AdvEngineID | sort - `count()`, AdvEngineID diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q9.ppl b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q9.ppl index ac5a40dc2ca06..a909d43141afc 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q9.ppl +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/clickbench/ppl/q9.ppl @@ -1 +1 @@ -source = clickbench | stats dc(UserID) as u by RegionID | sort -u | head 10 +source = clickbench | stats dc(UserID) as u by RegionID | sort -u, RegionID | head 10 From b2feda3b95d521136671f07a1326de1960c6882b Mon Sep 17 00:00:00 2001 From: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> Date: Tue, 23 Jun 2026 14:15:46 +0530 Subject: [PATCH 31/94] [DFAE] Enable append only mode for indices. (#22185) * Enforce append only mode for data format aware indices Signed-off-by: Mohit Godwani * Fix id in composite engine tests Signed-off-by: Mohit Godwani * Mute flaky test Signed-off-by: Mohit Godwani --------- Signed-off-by: Mohit Godwani --- .../FlightTransportResponseTests.java | 1 + .../be/datafusion/BaseScalarFunctionIT.java | 2 - .../be/datafusion/CoordinatorJoinIT.java | 2 +- .../CoordinatorJoinMultiNodeIT.java | 13 +--- .../foyer/BlockCacheKeyIndexScaleIT.java | 2 +- .../composite/AbstractCompositeEngineIT.java | 19 +++--- .../composite/CompositeCommitDeletionIT.java | 5 +- .../composite/CompositeDynamicMappingIT.java | 14 ++--- ...positeEngineLuceneFailureCheckpointIT.java | 2 +- .../CompositeEngineLuceneOversizedTermIT.java | 18 ++---- ...ositeEngineParquetFailureCheckpointIT.java | 12 ++-- ...ositeEngineParquetFailureDurabilityIT.java | 6 +- ...siteEnginePrimaryFailoverCheckpointIT.java | 2 +- .../composite/CompositeFieldCapabilityIT.java | 61 ++++--------------- .../CompositeFieldConfigRandomizedIT.java | 2 - .../composite/CompositeIndexingSlowLogIT.java | 6 +- .../composite/CompositeMergeIT.java | 5 +- .../CompositeParquet3TierSettingsIT.java | 1 - .../CompositeRelocationFailureIT.java | 7 +-- .../CompositeRemoteStoreFsyncRecoveryIT.java | 5 +- .../DataFormatAwareDFASnapshotBlockingIT.java | 5 +- .../composite/DataFormatAwareGetByIdIT.java | 36 ++++++----- .../DataFormatAwareMultiIndexRecoveryIT.java | 5 +- .../DataFormatAwarePeerRecoveryIT.java | 1 + .../DataFormatAwarePrepareTieringAsyncIT.java | 10 +-- .../DataFormatAwareReadonlyEngineBaseIT.java | 12 +++- .../DataFormatAwareReadonlyEngineWriteIT.java | 21 +------ .../DataFormatAwareReadonlyGetByIdIT.java | 21 ++++--- .../DataFormatAwareRemoteStoreRecoveryIT.java | 2 - .../DataFormatAwareReplicaGetByIdIT.java | 24 +++++--- .../DataFormatAwareReplicationBaseIT.java | 10 ++- .../DataFormatAwareReplicationIT.java | 1 - ...DataFormatAwareReplicationPromotionIT.java | 1 + ...FormatAwareRestoreShallowSnapshotV2IT.java | 2 +- .../composite/DataFormatAwareUploadIT.java | 1 - .../opensearch/composite/StatsFailureIT.java | 2 +- .../composite/StatsLifecycleIT.java | 4 +- .../org/opensearch/dsl/DslIntegTestBase.java | 1 - .../opensearch/dsl/DslQueryExecutorIT.java | 2 +- .../resilience/CoordinatorResilienceIT.java | 6 +- .../CoordinatorTopologyTestBase.java | 2 +- .../CoordinatorTransportStressIT.java | 4 +- .../resilience/MaxShardsPerQueryIT.java | 4 +- .../analytics/resilience/ShardFailoverIT.java | 2 +- .../sql/AnalyticsSearchSlowLogIT.java | 2 +- .../opensearch/analytics/sql/ValuesSqlIT.java | 4 +- .../be/datafusion/IndexSortPropagationIT.java | 1 - .../datafusion/QtfDerivedAboveProjectIT.java | 1 - .../be/datafusion/SortReverseQtfIT.java | 1 - .../analytics/qa/CoordinatorReduceIT.java | 16 ++--- .../qa/CoordinatorReduceMemtableIT.java | 2 +- .../analytics/qa/DateNanosUDTPrecisionIT.java | 8 +-- .../qa/GroupedListAggregateMultiShardIT.java | 8 +-- .../qa/LateMaterializationDateNanosIT.java | 12 ++-- .../qa/ListAggregateMultiShardIT.java | 4 +- .../qa/ListAggregateMultiTypeIT.java | 2 +- .../analytics/qa/ListValuesRenderingIT.java | 8 +-- .../analytics/qa/LocalRecoveryIT.java | 12 ++-- .../qa/StreamingCoordinatorReduceIT.java | 4 +- .../datasets/ip_multishard/bulk.json | 20 +++--- .../datasets/merge_coverage/bulk.json | 60 +++++++++--------- .../datasets/object_fields/bulk.json | 6 +- .../cluster/metadata/IndexMetadata.java | 4 +- .../engine/DataFormatAwareEngineTests.java | 8 ++- 64 files changed, 237 insertions(+), 310 deletions(-) diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java index f72f81934e29c..9efae24b49f4a 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java @@ -177,6 +177,7 @@ public void testCloseSwallowsAlreadyClosedError() throws Exception { } /** An unexpected error from the stream is wrapped as a StreamException. */ + @AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/issues/22249") public void testCloseRethrowsUnexpectedErrorAsStreamException() throws Exception { FlightClient client = mock(FlightClient.class); FlightStream stream = mock(FlightStream.class); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/BaseScalarFunctionIT.java b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/BaseScalarFunctionIT.java index d2b9b2ee75d4c..8ca4d37939aba 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/BaseScalarFunctionIT.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/BaseScalarFunctionIT.java @@ -160,7 +160,6 @@ private void indexBankDocs() { // This lets scalar-JSON UDF tests assert both the happy path (row 1 → length 3) // and the non-array → NULL path (row 6) from real column values. client().prepareIndex(BANK_INDEX) - .setId("1") .setSource( "account_number", 1, @@ -175,7 +174,6 @@ private void indexBankDocs() { ) .get(); client().prepareIndex(BANK_INDEX) - .setId("6") .setSource( "account_number", 6, diff --git a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinIT.java b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinIT.java index ec288e2457a96..5bd20cc9d7059 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinIT.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinIT.java @@ -170,7 +170,7 @@ private void createParquetBackedIndex(String indexName, String payloadField) { private void indexKeyedDocs(String indexName, String payloadField) { for (int key = 1; key <= NUM_KEYS; key++) { int payload = payloadField.equals("v") ? expectedV(key) : expectedW(key); - client().prepareIndex(indexName).setId(indexName + "_" + key).setSource("k", key, payloadField, payload).get(); + client().prepareIndex(indexName).setSource("k", key, payloadField, payload).get(); } client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinMultiNodeIT.java b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinMultiNodeIT.java index 09ba047523ca1..f6e6d2324e4e7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinMultiNodeIT.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/CoordinatorJoinMultiNodeIT.java @@ -340,10 +340,7 @@ private void createParquetIndex(String indexName, int numShards, String payloadF /** One document per key in {@code [keyLo, keyHi]}. Sequential — fine for small N. */ private void indexUnique(String indexName, String payloadField, int keyLo, int keyHi, IntUnaryOperator keyToPayload) { for (int key = keyLo; key <= keyHi; key++) { - client().prepareIndex(indexName) - .setId(indexName + "_" + key) - .setSource("k", key, payloadField, keyToPayload.applyAsInt(key)) - .get(); + client().prepareIndex(indexName).setSource("k", key, payloadField, keyToPayload.applyAsInt(key)).get(); } client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); @@ -356,11 +353,7 @@ private void bulkIndexUnique(String indexName, String payloadField, int keyLo, i int batchEnd = Math.min(batchStart + batchSize - 1, keyHi); org.opensearch.action.bulk.BulkRequestBuilder bulk = client().prepareBulk(); for (int key = batchStart; key <= batchEnd; key++) { - bulk.add( - client().prepareIndex(indexName) - .setId(indexName + "_" + key) - .setSource("k", key, payloadField, keyToPayload.applyAsInt(key)) - ); + bulk.add(client().prepareIndex(indexName).setSource("k", key, payloadField, keyToPayload.applyAsInt(key))); } org.opensearch.action.bulk.BulkResponse response = bulk.get(); assertFalse( @@ -377,7 +370,7 @@ private void indexWithDuplicates(String indexName, String payloadField, int keyL for (int key = keyLo; key <= keyHi; key++) { for (int d = 0; d < dupes; d++) { int payload = key * 1000 + d; - client().prepareIndex(indexName).setId(indexName + "_" + key + "_" + d).setSource("k", key, payloadField, payload).get(); + client().prepareIndex(indexName).setSource("k", key, payloadField, payload).get(); } } client().admin().indices().prepareRefresh(indexName).get(); diff --git a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java index bb8a2c6da2324..63d50e165ac3a 100644 --- a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java +++ b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java @@ -287,7 +287,7 @@ private void setupScaleShards() throws Exception { // Index 1 doc into each index to make the snapshot non-trivial. for (String name : indexNames) { - client.prepareIndex(name).setId("1").setSource("field", "value").get(); + client.prepareIndex(name).setSource("field", "value").get(); } ensureGreen(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/AbstractCompositeEngineIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/AbstractCompositeEngineIT.java index 10eb0d747ca1d..3d09a08cb8b2b 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/AbstractCompositeEngineIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/AbstractCompositeEngineIT.java @@ -14,6 +14,7 @@ import org.opensearch.action.admin.indices.flush.FlushResponse; import org.opensearch.action.admin.indices.stats.IndicesStatsResponse; import org.opensearch.action.admin.indices.stats.ShardStats; +import org.opensearch.action.index.IndexResponse; import org.opensearch.arrow.allocator.ArrowBasePlugin; import org.opensearch.be.datafusion.DataFusionPlugin; import org.opensearch.be.lucene.LucenePlugin; @@ -38,8 +39,10 @@ import org.opensearch.transport.Netty4ModulePlugin; import java.io.IOException; +import java.util.ArrayList; import java.util.Arrays; import java.util.Collection; +import java.util.List; import java.util.function.Function; import java.util.regex.Pattern; @@ -126,18 +129,14 @@ protected void createCompositeIndex(String indexName, boolean withLuceneSecondar ensureGreen(indexName); } - protected void indexDocs(String indexName, int count, int startId) { + protected List indexDocs(String indexName, int count, int startId) { + List ids = new ArrayList<>(); for (int i = startId; i < startId + count; i++) { - assertEquals( - RestStatus.CREATED, - client().prepareIndex() - .setIndex(indexName) - .setId(String.valueOf(i)) - .setSource("name", "doc_" + i, "value", i) - .get() - .status() - ); + IndexResponse indexResponse = client().prepareIndex().setIndex(indexName).setSource("name", "doc_" + i, "value", i).get(); + assertEquals(RestStatus.CREATED, indexResponse.status()); + ids.add(indexResponse.getId()); } + return ids; } protected void refreshIndex(String indexName) { diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeCommitDeletionIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeCommitDeletionIT.java index e54c10e506b0f..241ff73b66fac 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeCommitDeletionIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeCommitDeletionIT.java @@ -90,10 +90,7 @@ private void createCompositeIndex() { private void indexDocs(int count, int startId) { for (int i = startId; i < startId + count; i++) { - assertEquals( - RestStatus.CREATED, - client().prepareIndex().setIndex(INDEX_NAME).setId(String.valueOf(i)).setSource("field", i).get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex().setIndex(INDEX_NAME).setSource("field", i).get().status()); } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeDynamicMappingIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeDynamicMappingIT.java index d59fab0091b09..eaea52d0e898e 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeDynamicMappingIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeDynamicMappingIT.java @@ -169,11 +169,11 @@ public void testConflictingDynamicMappings() { ensureGreen(indexName); // First doc: foo inferred as long - client().prepareIndex(indexName).setId("1").setSource("foo", 3).get(); + client().prepareIndex(indexName).setSource("foo", 3).get(); // Second doc: foo as text — should fail try { - client().prepareIndex(indexName).setId("2").setSource("foo", "bar").get(); + client().prepareIndex(indexName).setSource("foo", "bar").get(); fail("Indexing request should have failed!"); } catch (Exception e) { assertTrue( @@ -294,16 +294,10 @@ private void runConcurrentIndexing(String indexName, int numThreads) throws Thro indexThreads[i] = new Thread(() -> { try { startLatch.await(); - IndexResponse respA = client().prepareIndex(indexName) - .setId("a_" + threadId) - .setSource("fieldA_" + threadId, "valueA_" + threadId) - .get(); + IndexResponse respA = client().prepareIndex(indexName).setSource("fieldA_" + threadId, "valueA_" + threadId).get(); assert respA.status() == RestStatus.CREATED : "index a_" + threadId + " failed: " + respA.status(); Thread.sleep(1000); - IndexResponse respB = client().prepareIndex(indexName) - .setId("b_" + threadId) - .setSource("fieldB_" + threadId, "valueB_" + threadId) - .get(); + IndexResponse respB = client().prepareIndex(indexName).setSource("fieldB_" + threadId, "valueB_" + threadId).get(); assert respB.status() == RestStatus.CREATED : "index b_" + threadId + " failed: " + respB.status(); Thread.sleep(1000); client().admin().indices().prepareRefresh(indexName).get(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneFailureCheckpointIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneFailureCheckpointIT.java index c1d5bc45ca330..3042cc84c1522 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneFailureCheckpointIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneFailureCheckpointIT.java @@ -154,7 +154,7 @@ public void testCheckpointsConvergeAfterLuceneDirectoryFault() throws Exception } private BulkItemResponse indexOne(String id, String value) { - BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setId(id).setSource("field", value)).get(); + BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setSource("field", value)).get(); assertEquals(1, bulk.getItems().length); return bulk.getItems()[0]; } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneOversizedTermIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneOversizedTermIT.java index c49ffe6bd772c..3f23ae3403ef8 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneOversizedTermIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineLuceneOversizedTermIT.java @@ -147,7 +147,7 @@ private void runOversizedTermScenario(boolean withIndexSort) throws Exception { createIndex(withIndexSort); // Doc 1: succeeds. - IndexResponse ok1 = client().prepareIndex(INDEX_NAME).setId("1").setSource("field", "value-1", "sort_key", 10L).get(); + IndexResponse ok1 = client().prepareIndex(INDEX_NAME).setSource("field", "value-1", "sort_key", 10L).get(); assertEquals(RestStatus.CREATED, ok1.status()); // Doc 2: a single oversized keyword token. Lucene's IndexingChain throws @@ -155,7 +155,7 @@ private void runOversizedTermScenario(boolean withIndexSort) throws Exception { // remains open, the bulk item surfaces as a per-doc failure. String oversized = "x".repeat(OVERSIZED_TERM_CHARS); BulkResponse bulk = client().prepareBulk() - .add(client().prepareIndex(INDEX_NAME).setId("2").setSource("field", oversized, "sort_key", 5L)) + .add(client().prepareIndex(INDEX_NAME).setSource("field", oversized, "sort_key", 5L)) .get(); assertEquals(1, bulk.getItems().length); BulkItemResponse failed = bulk.getItems()[0]; @@ -177,7 +177,7 @@ private void runOversizedTermScenario(boolean withIndexSort) throws Exception { // Doc 3: succeeds on the same primary — proves the engine and writer pool recovered. // sort_key=1 is less than doc 1's sort_key=10, so the index-sort variant exercises // a non-trivial RowIdMapping permutation rather than the identity case. - IndexResponse ok3 = client().prepareIndex(INDEX_NAME).setId("3").setSource("field", "value-3", "sort_key", 1L).get(); + IndexResponse ok3 = client().prepareIndex(INDEX_NAME).setSource("field", "value-3", "sort_key", 1L).get(); assertEquals(RestStatus.CREATED, ok3.status()); client().admin().indices().prepareFlush(INDEX_NAME).get(); @@ -226,10 +226,7 @@ public void testLuceneFailureReplacesWriterAndClosesOldOne() throws Exception { createIndex(/* withIndexSort= */ false); // Doc 1 mints writer-1 in the pool. - assertEquals( - RestStatus.CREATED, - client().prepareIndex(INDEX_NAME).setId("1").setSource("field", "v1", "sort_key", 10L).get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setSource("field", "v1", "sort_key", 10L).get().status()); DataFormatAwareEngine engine = CompositeEngineHelper.getEngine(clusterService(), internalCluster(), INDEX_NAME); Writer writerBefore = singleWriter(engine); @@ -237,15 +234,12 @@ public void testLuceneFailureReplacesWriterAndClosesOldOne() throws Exception { // Doc 2: oversized term → Lucene IAE → RETIRED_FLUSHABLE → DFAE retires + closes. String oversized = "x".repeat(OVERSIZED_TERM_CHARS); BulkResponse bulk = client().prepareBulk() - .add(client().prepareIndex(INDEX_NAME).setId("2").setSource("field", oversized, "sort_key", 5L)) + .add(client().prepareIndex(INDEX_NAME).setSource("field", oversized, "sort_key", 5L)) .get(); assertTrue("oversized term doc must fail", bulk.getItems()[0].isFailed()); // Doc 3 forces the pool to mint a fresh writer (the old one is gone). - assertEquals( - RestStatus.CREATED, - client().prepareIndex(INDEX_NAME).setId("3").setSource("field", "v3", "sort_key", 1L).get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setSource("field", "v3", "sort_key", 1L).get().status()); Writer writerAfter = singleWriter(engine); assertNotSame("Lucene retirement must replace the writer instance in the pool", writerBefore, writerAfter); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureCheckpointIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureCheckpointIT.java index 48f59fcaf8157..86b379c4d60ff 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureCheckpointIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureCheckpointIT.java @@ -136,7 +136,7 @@ public void testParquetAddDocFailureSelfRollsAndCheckpointsConverge() throws Exc ensureGreen(INDEX_NAME); // Doc 1 with the original mapping (just f1) — succeeds. - IndexResponse ok1 = client().prepareIndex(INDEX_NAME).setId("1").setSource("f1", "value-1").get(); + IndexResponse ok1 = client().prepareIndex(INDEX_NAME).setSource("f1", "value-1").get(); assertEquals(RestStatus.CREATED, ok1.status()); // Suppress the parquet writer's mapping-version updates. Then add a new field f2 @@ -148,7 +148,7 @@ public void testParquetAddDocFailureSelfRollsAndCheckpointsConverge() throws Exc FailableParquetDataFormatPlugin.armSchemaSuppression(); client().admin().indices().preparePutMapping(INDEX_NAME).setSource("f2", "type=keyword").get(); - BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setId("2").setSource("f2", "value-2")).get(); + BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setSource("f2", "value-2")).get(); assertEquals(1, bulk.getItems().length); BulkItemResponse failed = bulk.getItems()[0]; assertTrue("doc 2 must surface as a per-item failure: " + failed.getFailureMessage(), failed.isFailed()); @@ -166,7 +166,7 @@ public void testParquetAddDocFailureSelfRollsAndCheckpointsConverge() throws Exc // Doc 3 with f1 (already in every schema version) succeeds on the fresh writer — // proves the engine survives a per-doc parquet failure and continues serving writes. - IndexResponse ok3 = client().prepareIndex(INDEX_NAME).setId("3").setSource("f1", "value-3").get(); + IndexResponse ok3 = client().prepareIndex(INDEX_NAME).setSource("f1", "value-3").get(); assertEquals(RestStatus.CREATED, ok3.status()); client().admin().indices().prepareFlush(INDEX_NAME).get(); @@ -205,7 +205,7 @@ public void testParquetSelfRollbackKeepsSameWriterInPool() throws Exception { ensureGreen(INDEX_NAME); // Doc 1 mints writer-1 in the pool. - assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setId("1").setSource("f1", "v1").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setSource("f1", "v1").get().status()); DataFormatAwareEngine engine = CompositeEngineHelper.getEngine(clusterService(), internalCluster(), INDEX_NAME); Writer writerBefore = singleWriter(engine); @@ -214,12 +214,12 @@ public void testParquetSelfRollbackKeepsSameWriterInPool() throws Exception { // → composite rollback → state restored to ACTIVE (no flush, no retire). FailableParquetDataFormatPlugin.armSchemaSuppression(); client().admin().indices().preparePutMapping(INDEX_NAME).setSource("f2", "type=keyword").get(); - BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setId("fail").setSource("f2", "x")).get(); + BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setSource("f2", "x")).get(); assertTrue("must surface per-item failure", bulk.getItems()[0].isFailed()); FailableParquetDataFormatPlugin.clearFailure(); // Doc 3 (f1, schema v1-compatible) must land on the same writer instance. - assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setId("3").setSource("f1", "v3").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setSource("f1", "v3").get().status()); Writer writerAfter = singleWriter(engine); assertSame("parquet self-rollback must keep the same writer instance in the pool", writerBefore, writerAfter); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureDurabilityIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureDurabilityIT.java index 9ffb162d64368..43b2c7ca4f0e2 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureDurabilityIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEngineParquetFailureDurabilityIT.java @@ -126,7 +126,7 @@ private void runDurabilityScenario(boolean refreshBeforeRestart, boolean flushBe // Phase 1: index N docs with f1 into writer-1. final int initialDocs = 5; for (int i = 0; i < initialDocs; i++) { - IndexResponse r = client().prepareIndex(INDEX_NAME).setId("d" + i).setSource("f1", "v" + i).get(); + IndexResponse r = client().prepareIndex(INDEX_NAME).setSource("f1", "v" + i).get(); assertEquals(RestStatus.CREATED, r.status()); } @@ -137,7 +137,7 @@ private void runDurabilityScenario(boolean refreshBeforeRestart, boolean flushBe FailableParquetDataFormatPlugin.armSchemaSuppression(); client().admin().indices().preparePutMapping(INDEX_NAME).setSource("f2", "type=keyword").get(); - BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setId("fail").setSource("f2", "value-fail")).get(); + BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setSource("f2", "value-fail")).get(); assertEquals(1, bulk.getItems().length); BulkItemResponse failed = bulk.getItems()[0]; assertTrue("oversized-schema doc must surface as a per-item failure: " + failed.getFailureMessage(), failed.isFailed()); @@ -147,7 +147,7 @@ private void runDurabilityScenario(boolean refreshBeforeRestart, boolean flushBe FailableParquetDataFormatPlugin.clearFailure(); final int postRetirementDocs = 3; for (int i = 0; i < postRetirementDocs; i++) { - IndexResponse r = client().prepareIndex(INDEX_NAME).setId("p" + i).setSource("f1", "p" + i).get(); + IndexResponse r = client().prepareIndex(INDEX_NAME).setSource("f1", "p" + i).get(); assertEquals(RestStatus.CREATED, r.status()); } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEnginePrimaryFailoverCheckpointIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEnginePrimaryFailoverCheckpointIT.java index 33f1ac621fe7f..7cf5537f17008 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEnginePrimaryFailoverCheckpointIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeEnginePrimaryFailoverCheckpointIT.java @@ -152,7 +152,7 @@ private void waitForPrimaryTerm(long expectedTerm, TimeValue timeout) throws Exc } private BulkItemResponse indexOne(String id, String value) { - BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setId(id).setSource("field", value)).get(); + BulkResponse bulk = client().prepareBulk().add(client().prepareIndex(INDEX_NAME).setSource("field", value)).get(); assertEquals(1, bulk.getItems().length); return bulk.getItems()[0]; } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldCapabilityIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldCapabilityIT.java index 275b475c9bb2c..549d37d58151a 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldCapabilityIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldCapabilityIT.java @@ -312,7 +312,6 @@ public void testAllSupportedFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("1") .setSource( "f_long", 100L, @@ -355,7 +354,6 @@ public void testAllSupportedFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("2") .setSource( "f_long", 200L, @@ -378,7 +376,6 @@ public void testAllSupportedFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("3") .setSource("f_long", 300L, "f_keyword", "gamma", "f_text", "third with dynamic", "dynamic_new_field", "dynamic_value") .get() .status() @@ -445,28 +442,17 @@ public void testKeywordIgnoreAboveIndexAndVerify() throws Exception { ensureGreen(indexName); // Index doc with value within ignore_above - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("1").setSource("field", "short", "id_field", "doc1").get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "short", "id_field", "doc1").get().status()); // Index doc with value exceeding ignore_above (value ignored, sourceKeywordFieldType stores raw) assertEquals( RestStatus.CREATED, - client().prepareIndex(indexName) - .setId("2") - .setSource("field", "this_exceeds_ignore_above_limit", "id_field", "doc2") - .get() - .status() + client().prepareIndex(indexName).setSource("field", "this_exceeds_ignore_above_limit", "id_field", "doc2").get().status() ); // Dynamic mapping: add a new field assertEquals( RestStatus.CREATED, - client().prepareIndex(indexName) - .setId("3") - .setSource("field", "dynamic", "id_field", "doc3", "new_dynamic_field", "hello") - .get() - .status() + client().prepareIndex(indexName).setSource("field", "dynamic", "id_field", "doc3", "new_dynamic_field", "hello").get().status() ); client().admin().indices().prepareRefresh(indexName).get(); @@ -540,14 +526,8 @@ public void testKeywordNormalizerStoresSourceSeparately() throws Exception { ensureGreen(indexName); // Index doc — value is within any ignore_above but normalizer transforms it - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("1").setSource("field", "Hello", "id_field", "doc1").get().status() - ); - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("2").setSource("field", "WORLD", "id_field", "doc2").get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "Hello", "id_field", "doc1").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "WORLD", "id_field", "doc2").get().status()); client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); @@ -597,14 +577,8 @@ public void testKeywordNormalizerStoresSourceSeparatelyWhenDynamicFieldIsPresent ensureGreen(indexName); // Index doc — value is within any ignore_above but normalizer transforms it - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("1").setSource("field", "Hello", "id_field1", "doc1").get().status() - ); - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("2").setSource("field", "WORLD", "id_field2", "doc2").get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "Hello", "id_field1", "doc1").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "WORLD", "id_field2", "doc2").get().status()); client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); @@ -658,17 +632,14 @@ public void testMultiFieldIndexAndVerify() throws Exception { // Index initial docs assertEquals( RestStatus.CREATED, - client().prepareIndex(indexName).setId("1").setSource("content", "hello world", "tag", "greeting").get().status() - ); - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("2").setSource("content", "foo bar", "tag", "test").get().status() + client().prepareIndex(indexName).setSource("content", "hello world", "tag", "greeting").get().status() ); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("content", "foo bar", "tag", "test").get().status()); // Dynamic mapping: add new field assertEquals( RestStatus.CREATED, - client().prepareIndex(indexName).setId("3").setSource("content", "dynamic doc", "tag", "new", "extra_field", 42).get().status() + client().prepareIndex(indexName).setSource("content", "dynamic doc", "tag", "new", "extra_field", 42).get().status() ); client().admin().indices().prepareRefresh(indexName).get(); @@ -714,7 +685,6 @@ public void testMultipleFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("1") .setSource("f_long", 100L, "f_keyword", "alpha", "f_date", "2024-01-01", "f_text", "some text") .get() .status() @@ -722,7 +692,6 @@ public void testMultipleFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("2") .setSource("f_long", 200L, "f_keyword", "beta", "f_date", "2024-06-15", "f_text", "more text") .get() .status() @@ -732,7 +701,6 @@ public void testMultipleFieldTypesIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId("3") .setSource("f_long", 300L, "f_keyword", "gamma", "f_date", "2024-12-31", "f_text", "final", "dyn_bool", true) .get() .status() @@ -774,7 +742,7 @@ public void testMappingUpdateFailsWithUnsupportedField() throws Exception { assertIndexCreationSucceeds(indexName, "field", "type=keyword"); // Index a document successfully - assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setId("1").setSource("field", "value1").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("field", "value1").get().status()); client().admin().indices().prepareRefresh(indexName).get(); @@ -817,13 +785,10 @@ public void testDynamicMappingNumericField() throws Exception { ensureGreen(indexName); // Index initial doc - assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setId("1").setSource("name", "first").get().status()); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("name", "first").get().status()); // Index doc with dynamic numeric field - assertEquals( - RestStatus.CREATED, - client().prepareIndex(indexName).setId("2").setSource("name", "second", "dynamic_num", 42).get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(indexName).setSource("name", "second", "dynamic_num", 42).get().status()); client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldConfigRandomizedIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldConfigRandomizedIT.java index 3a661122674d2..8f9012e4b8815 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldConfigRandomizedIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeFieldConfigRandomizedIT.java @@ -136,7 +136,6 @@ public void testRandomizedFieldConfigIndexingAndVerification() throws Exception assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId(String.valueOf(i)) .setSource( "f_keyword_1", "kw1_val_" + i, @@ -243,7 +242,6 @@ public void testColumnarOnlyFieldsIndexAndVerify() throws Exception { assertEquals( RestStatus.CREATED, client().prepareIndex(indexName) - .setId(String.valueOf(i)) .setSource("col_keyword", "value_" + i, "col_long", (long) (i * 10), "col_double", i * 2.5) .get() .status() diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeIndexingSlowLogIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeIndexingSlowLogIT.java index 31c8ac24bb03c..b6f530bc1fca9 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeIndexingSlowLogIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeIndexingSlowLogIT.java @@ -36,13 +36,13 @@ public void testSlowLogEmitsAllFieldsForDFAEngine() throws Exception { appender.addExpectation(expectSeen("contains index name", ".*slowlog-test-idx.*")); appender.addExpectation(expectSeen("contains took", ".*took\\[.*\\].*")); appender.addExpectation(expectSeen("contains took_millis", ".*took_millis\\[\\d+\\].*")); - appender.addExpectation(expectSeen("contains document id", ".*id\\[1\\].*")); + appender.addExpectation(expectSeen("contains document id", ".*id\\[.*\\].*")); appender.addExpectation(expectSeen("contains routing field", ".*routing\\[.*\\].*")); appender.addExpectation(expectSeen("contains document source", ".*source\\[.*test_value.*\\].*")); assertEquals( RestStatus.CREATED, - client().prepareIndex().setIndex(INDEX_NAME).setId("1").setSource("name", "test_value", "value", 42).get().status() + client().prepareIndex().setIndex(INDEX_NAME).setSource("name", "test_value", "value", 42).get().status() ); appender.assertAllExpectationsMatched(); @@ -59,7 +59,7 @@ public void testSlowLogDoesNotFireWhenBelowThreshold() throws Exception { assertEquals( RestStatus.CREATED, - client().prepareIndex().setIndex(INDEX_NAME).setId("1").setSource("name", "fast_doc", "value", 1).get().status() + client().prepareIndex().setIndex(INDEX_NAME).setSource("name", "fast_doc", "value", 1).get().status() ); appender.assertAllExpectationsMatched(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergeIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergeIT.java index 579a98dd096f9..9f444bb77ec70 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergeIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergeIT.java @@ -266,10 +266,7 @@ public void testMergeOnRefresh() throws Exception { startLatch.await(); for (int i = 0; i < docsPerThread; i++) { int docId = threadId * docsPerThread + i; - client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(docId)) - .setSource("name", "doc_" + docId, "age", randomIntBetween(0, 100)) - .get(); + client().prepareIndex(INDEX_NAME).setSource("name", "doc_" + docId, "age", randomIntBetween(0, 100)).get(); } } catch (Exception e) { error.compareAndSet(null, e); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeParquet3TierSettingsIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeParquet3TierSettingsIT.java index c030ef5e96191..36977cd36d6d2 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeParquet3TierSettingsIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeParquet3TierSettingsIT.java @@ -440,7 +440,6 @@ private void indexAllTypeDocs() { for (int i = 0; i < 5; i++) { client().prepareIndex() .setIndex(INDEX_NAME) - .setId(String.valueOf(i)) .setSource( "col_utf8", "val_" + i, diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRelocationFailureIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRelocationFailureIT.java index bd473fca32770..e9a7c9901bea6 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRelocationFailureIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRelocationFailureIT.java @@ -94,10 +94,7 @@ private void createCompositeIndex(int replicas) { private void indexDocs(int count, int startId) { for (int i = startId; i < startId + count; i++) { - assertEquals( - RestStatus.CREATED, - client().prepareIndex(INDEX_NAME).setId(String.valueOf(i)).setSource("name", "doc_" + i, "value", i).get().status() - ); + assertEquals(RestStatus.CREATED, client().prepareIndex(INDEX_NAME).setSource("name", "doc_" + i, "value", i).get().status()); } } @@ -134,7 +131,7 @@ public void testConcurrentIndexingDuringRelocation() throws Exception { int id = 10000; while (!stopIndexing.get()) { try { - client().prepareIndex(INDEX_NAME).setId("concurrent_" + id).setSource("name", "concurrent_" + id, "value", id).get(); + client().prepareIndex(INDEX_NAME).setSource("name", "concurrent_" + id, "value", id).get(); successCount.incrementAndGet(); id++; Thread.sleep(10); // Pace writes to avoid overwhelming during relocation diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRemoteStoreFsyncRecoveryIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRemoteStoreFsyncRecoveryIT.java index 3e6e5b765bca0..aac0ea4c7050f 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRemoteStoreFsyncRecoveryIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeRemoteStoreFsyncRecoveryIT.java @@ -93,10 +93,7 @@ private Settings compositeIndexSettings(int replicas) { private void indexDocs(int count, int offset) { for (int i = 0; i < count; i++) { - client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(offset + i)) - .setSource("name", "doc_" + (offset + i), "value", offset + i) - .get(); + client().prepareIndex(INDEX_NAME).setSource("name", "doc_" + (offset + i), "value", offset + i).get(); } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java index f32fb1fa63a9b..f8ede58cdc8a0 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareDFASnapshotBlockingIT.java @@ -8,7 +8,6 @@ package org.opensearch.composite; -import org.apache.lucene.tests.util.LuceneTestCase.AwaitsFix; import org.opensearch.action.admin.cluster.snapshots.create.CreateSnapshotResponse; import org.opensearch.action.admin.cluster.snapshots.restore.RestoreSnapshotResponse; import org.opensearch.action.admin.indices.delete.DeleteIndexRequest; @@ -44,7 +43,6 @@ * Together these guarantee: hot DFA + non-DFA flow normally through V2 snapshots; warm DFA never * appears in any snapshot. */ -@AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/pull/22011") public class DataFormatAwareDFASnapshotBlockingIT extends DataFormatAwareReadonlyEngineBaseIT { private static final String V2_REPO = "v2-block-test-repo"; @@ -98,11 +96,12 @@ private void createHotDFAIndex(String indexName, int docs) { .put("index.pluggable.dataformat.enabled", true) .put("index.pluggable.dataformat", "composite") .put("index.composite.primary_data_format", "parquet") + .putList("index.composite.secondary_data_formats", List.of("lucene")) .build(); client().admin().indices().prepareCreate(indexName).setSettings(hot).get(); ensureGreen(indexName); for (int i = 0; i < docs; i++) { - client().prepareIndex(indexName).setId(String.valueOf(i)).setSource("n", (long) i).get(); + client().prepareIndex(indexName).setSource("n", (long) i).get(); } client().admin().indices().prepareFlush(indexName).setForce(true).get(); } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java index 55d659648e1f7..9c8827e23ad30 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareGetByIdIT.java @@ -14,6 +14,8 @@ import org.opensearch.core.rest.RestStatus; import org.opensearch.test.OpenSearchIntegTestCase; +import java.util.List; + /** * End-to-end get-by-id coverage for the hot {@link org.opensearch.index.engine.DataFormatAwareEngine}: * exercises both the in-memory version-map path (realtime GET before refresh) and the parquet row @@ -33,8 +35,8 @@ private void createManualRefreshIndex() { client().admin().indices().prepareUpdateSettings(INDEX).setSettings(Settings.builder().put("index.refresh_interval", -1)).get(); } - private IndexResponse indexDoc(String id, String name, int value) { - return client().prepareIndex().setIndex(INDEX).setId(id).setSource("name", name, "value", value).get(); + private IndexResponse indexDoc(String name, int value) { + return client().prepareIndex().setIndex(INDEX).setSource("name", name, "value", value).get(); } private static int intValue(GetResponse r) { @@ -43,27 +45,31 @@ private static int intValue(GetResponse r) { public void testRealtimeGetHitsVersionMapBeforeRefresh() { createManualRefreshIndex(); - assertEquals(RestStatus.CREATED, indexDoc("1", "doc_1", 1).status()); + IndexResponse indexResponse = indexDoc("doc_1", 1); + assertEquals(RestStatus.CREATED, indexResponse.status()); + String docId = indexResponse.getId(); + + // Non-realtime GET only sees refreshed (row) data -> not found yet, proving rows are still empty. + GetResponse nonRealtime = client().prepareGet(INDEX, docId).setRealtime(false).get(); + assertFalse("non-realtime get must not see the unrefreshed doc", nonRealtime.isExists()); // Realtime GET resolves from the in-memory version map (translog-backed) before any refresh. - GetResponse realtime = client().prepareGet(INDEX, "1").setRealtime(true).get(); + GetResponse realtime = client().prepareGet(INDEX, docId).setRealtime(true).get(); assertTrue("realtime get must find the unrefreshed doc", realtime.isExists()); assertEquals(1L, realtime.getVersion()); assertEquals("doc_1", realtime.getSourceAsMap().get("name")); assertEquals(1, intValue(realtime)); - - // Non-realtime GET only sees refreshed (row) data -> not found yet, proving rows are still empty. - GetResponse nonRealtime = client().prepareGet(INDEX, "1").setRealtime(false).get(); - assertFalse("non-realtime get must not see the unrefreshed doc", nonRealtime.isExists()); } public void testGetHitsRowsAfterRefresh() { createManualRefreshIndex(); - assertEquals(RestStatus.CREATED, indexDoc("2", "doc_2", 2).status()); + IndexResponse indexResponse = indexDoc("doc_2", 2); + assertEquals(RestStatus.CREATED, indexResponse.status()); refreshIndex(INDEX); + String docId = indexResponse.getId(); // After refresh the doc is materialized into parquet rows; non-realtime GET resolves via the row path. - GetResponse resp = client().prepareGet(INDEX, "2").setRealtime(false).get(); + GetResponse resp = client().prepareGet(INDEX, docId).setRealtime(false).get(); assertTrue("post-refresh get must find the doc via rows", resp.isExists()); assertEquals(1L, resp.getVersion()); assertEquals("doc_2", resp.getSourceAsMap().get("name")); @@ -73,26 +79,26 @@ public void testGetHitsRowsAfterRefresh() { public void testActiveIndexingWithInterleavedRefreshes() { createManualRefreshIndex(); // First batch then refresh -> these live in rows. - indexDocs(INDEX, 25, 1); + List ids = indexDocs(INDEX, 25, 1); refreshIndex(INDEX); // Second batch, NOT refreshed -> these live only in the version map. - indexDocs(INDEX, 25, 26); + ids.addAll(indexDocs(INDEX, 25, 26)); // Refreshed id -> row path. - GetResponse refreshed = client().prepareGet(INDEX, "10").setRealtime(false).get(); + GetResponse refreshed = client().prepareGet(INDEX, ids.get(9)).setRealtime(false).get(); assertTrue("refreshed id must be found via rows", refreshed.isExists()); assertEquals("doc_10", refreshed.getSourceAsMap().get("name")); assertEquals(10, intValue(refreshed)); // Unrefreshed id -> version-map path (realtime found), absent from rows (non-realtime not found). - GetResponse unrefreshedRealtime = client().prepareGet(INDEX, "40").setRealtime(true).get(); + GetResponse unrefreshedRealtime = client().prepareGet(INDEX, ids.get(39)).setRealtime(true).get(); assertTrue("unrefreshed id must be found realtime via version map", unrefreshedRealtime.isExists()); assertEquals("doc_40", unrefreshedRealtime.getSourceAsMap().get("name")); assertFalse("unrefreshed id must be absent from rows", client().prepareGet(INDEX, "40").setRealtime(false).get().isExists()); // After a second refresh the previously-unrefreshed id resolves via rows too. refreshIndex(INDEX); - GetResponse nowInRows = client().prepareGet(INDEX, "40").setRealtime(false).get(); + GetResponse nowInRows = client().prepareGet(INDEX, ids.get(39)).setRealtime(false).get(); assertTrue("after refresh id must be found via rows", nowInRows.isExists()); assertEquals(40, intValue(nowInRows)); } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareMultiIndexRecoveryIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareMultiIndexRecoveryIT.java index f7f1190d512be..0531640957c05 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareMultiIndexRecoveryIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareMultiIndexRecoveryIT.java @@ -160,10 +160,7 @@ public void testMultiShardRecoveryNoRedState() throws Exception { private void indexDocsToIndex(String indexName, int count) { for (int i = 0; i < count; i++) { - client().prepareIndex(indexName) - .setId(String.valueOf(i)) - .setSource("field_text", randomAlphaOfLength(10), "field_number", (long) i) - .get(); + client().prepareIndex(indexName).setSource("field_text", randomAlphaOfLength(10), "field_number", (long) i).get(); } } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePeerRecoveryIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePeerRecoveryIT.java index 4f03c13b5b082..35ea8ee8c7a31 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePeerRecoveryIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePeerRecoveryIT.java @@ -51,6 +51,7 @@ public void testPeerRecoveryOfFreshReplicaUnderIndexingLoad() throws Exception { random() ) ) { + indexer.setUseAutoGeneratedIDs(true); indexer.setIgnoreIndexingFailures(true); indexer.start(-1); waitForIndexerDocs(200, indexer); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java index 519f14d06373f..47edc5b14da81 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java @@ -73,10 +73,7 @@ public void testPrepareTieringRunsAsyncAcrossShardsAndDrainsMerges() throws Exce int id = 0; for (int batch = 0; batch < INDEX_BATCHES; batch++) { for (int i = 0; i < DOCS_PER_BATCH; i++) { - client().prepareIndex(ASYNC_INDEX) - .setId(String.valueOf(id)) - .setSource("field_text", "value_" + id, "field_number", (long) id) - .get(); + client().prepareIndex(ASYNC_INDEX).setSource("field_text", "value_" + id, "field_number", (long) id).get(); id++; } client().admin().indices().prepareRefresh(ASYNC_INDEX).get(); @@ -135,10 +132,7 @@ public void testPrepareTieringIsIdempotentAcrossInvocations() throws Exception { int id = 0; for (int batch = 0; batch < INDEX_BATCHES; batch++) { for (int i = 0; i < DOCS_PER_BATCH; i++) { - client().prepareIndex(ASYNC_INDEX) - .setId(String.valueOf(id)) - .setSource("field_text", "value_" + id, "field_number", (long) id) - .get(); + client().prepareIndex(ASYNC_INDEX).setSource("field_text", "value_" + id, "field_number", (long) id).get(); id++; } client().admin().indices().prepareRefresh(ASYNC_INDEX).get(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java index 4d0cbb3e3ed23..a071dd2230da7 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineBaseIT.java @@ -11,6 +11,7 @@ import com.carrotsearch.randomizedtesting.ThreadFilter; import com.carrotsearch.randomizedtesting.annotations.ThreadLeakFilters; +import org.opensearch.action.index.IndexResponse; import org.opensearch.arrow.allocator.ArrowBasePlugin; import org.opensearch.be.datafusion.DataFusionPlugin; import org.opensearch.be.lucene.LucenePlugin; @@ -20,6 +21,7 @@ import org.opensearch.common.util.FeatureFlags; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; +import org.opensearch.core.rest.RestStatus; import org.opensearch.core.xcontent.NamedXContentRegistry; import org.opensearch.env.Environment; import org.opensearch.index.IndexModule; @@ -42,6 +44,7 @@ import java.io.IOException; import java.io.UncheckedIOException; import java.nio.file.Files; +import java.util.ArrayList; import java.util.Collection; import java.util.Collections; import java.util.List; @@ -205,15 +208,17 @@ protected IndexShard getIndexShard(String nodeName) { } /** Create hot DFA index, index docs, flush, then tier to warm. */ - protected void createHotIndexAndTierToWarm(int replicaCount) throws Exception { + protected List createHotIndexAndTierToWarm(int replicaCount) throws Exception { client().admin().indices().prepareCreate(INDEX_NAME).setSettings(dfaIndexSettings(replicaCount)).get(); ensureGreen(INDEX_NAME); + List docIds = new ArrayList<>(); for (int i = 0; i < DOC_COUNT; i++) { - client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(i)) + IndexResponse indexResponse = client().prepareIndex(INDEX_NAME) .setSource("field_text", "value_" + i, "field_number", (long) i) .get(); + assertEquals(RestStatus.CREATED, indexResponse.status()); + docIds.add(indexResponse.getId()); } client().admin().indices().prepareFlush(INDEX_NAME).setForce(true).get(); @@ -226,5 +231,6 @@ protected void createHotIndexAndTierToWarm(int replicaCount) throws Exception { .get(); client().admin().indices().prepareOpen(INDEX_NAME).get(); ensureGreen(INDEX_NAME); + return docIds; } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineWriteIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineWriteIT.java index 454f0c5aaf0ec..ad7dc02181d7a 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineWriteIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyEngineWriteIT.java @@ -46,31 +46,12 @@ public void testWarmEngineFlipAndWriteRejection() throws Exception { // Index must be rejected try { - client().prepareIndex(INDEX_NAME).setId("new-doc").setSource("field_text", "fail").get(); + client().prepareIndex(INDEX_NAME).setSource("field_text", "fail").get(); fail("index should be rejected"); } catch (Exception e) { assertTrue("expected rejection, got: " + e.getMessage(), e.getMessage().contains("does not support")); } - // Delete must be rejected - try { - client().prepareDelete(INDEX_NAME, "0").get(); - fail("delete should be rejected"); - } catch (Exception e) { - assertTrue("expected rejection, got: " + e.getMessage(), e.getMessage().contains("does not support")); - } - - // Update must be rejected - try { - client().prepareUpdate(INDEX_NAME, "0").setDoc("field_text", "updated").get(); - fail("update should be rejected"); - } catch (Exception e) { - assertTrue( - "expected rejection, got: " + e.getMessage(), - e.getMessage().contains("does not support") || e.getMessage().contains("Cannot apply function on indexer") - ); - } - // Flush is no-op (should not throw) client().admin().indices().prepareFlush(INDEX_NAME).setForce(true).get(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java index 19c0053db9d63..88f91c072d4e4 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReadonlyGetByIdIT.java @@ -15,6 +15,8 @@ import org.opensearch.index.shard.IndexShard; import org.opensearch.index.shard.IndexShardTestCase; +import java.util.List; + /** * End-to-end get-by-id coverage for {@link DataFormatAwareReadOnlyEngine}: after an index is tiered to * warm, a document is still resolvable by id via the read-only row path (the warm engine has no version map). @@ -25,7 +27,8 @@ public class DataFormatAwareReadonlyGetByIdIT extends DataFormatAwareReadonlyEng public void testGetByIdFromWarmReadOnlyEngine() throws Exception { internalCluster().startClusterManagerOnlyNode(); internalCluster().startDataAndWarmNodes(2); - createHotIndexAndTierToWarm(0); // indexes ids 0..49 (field_text="value_", field_number=), flush, flip to warm + List ids = createHotIndexAndTierToWarm(0); // indexes ids 0..49 (field_text="value_", field_number=), flush, flip to + // warm // Confirm the warm primary really runs the read-only engine. IndexShard primaryShard = getIndexShard(primaryNodeName()); @@ -35,11 +38,15 @@ public void testGetByIdFromWarmReadOnlyEngine() throws Exception { indexer instanceof DataFormatAwareReadOnlyEngine ); - // GET by id resolves via the warm read-only row path. - GetResponse resp = client().prepareGet(INDEX_NAME, "5").setRealtime(false).get(); - assertTrue("warm get-by-id must find the doc via rows", resp.isExists()); - assertEquals(1L, resp.getVersion()); - assertEquals("value_5", resp.getSourceAsMap().get("field_text")); - assertEquals(5L, ((Number) resp.getSourceAsMap().get("field_number")).longValue()); + long cnt = 1; + for (String id : ids) { + GetResponse resp = client().prepareGet(INDEX_NAME, id).setRealtime(false).get(); + + assertTrue("replica get-by-id must find the replicated doc via rows", resp.isExists()); + assertEquals(1L, resp.getVersion()); + assertEquals(cnt++, ((Number) resp.getSourceAsMap().get("field_number")).longValue()); + assertNotNull(resp.getSourceAsMap().get("field_text")); + assertNotNull(resp.getSourceAsMap().get("field_keyword")); + } } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRemoteStoreRecoveryIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRemoteStoreRecoveryIT.java index 4f4407b1a1837..57ce8c0fe2cfc 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRemoteStoreRecoveryIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRemoteStoreRecoveryIT.java @@ -133,7 +133,6 @@ protected void assertLuceneIndexDirContents(IndexShard shard) throws java.io.IOE protected void indexDocs(int count) { for (int i = 0; i < count; i++) { client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(i)) .setRefreshPolicy(org.opensearch.action.support.WriteRequest.RefreshPolicy.NONE) .setSource("field_text", randomAlphaOfLength(10), "field_keyword", randomAlphaOfLength(10), "field_number", (long) i) .get(); @@ -143,7 +142,6 @@ protected void indexDocs(int count) { protected void indexDocsWithOffset(int offset, int count) { for (int i = 0; i < count; i++) { client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(offset + i)) .setRefreshPolicy(org.opensearch.action.support.WriteRequest.RefreshPolicy.NONE) .setSource( "field_text", diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java index fbb6cf086b5b4..273492121ee5d 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java @@ -13,6 +13,9 @@ import org.opensearch.action.get.GetResponse; import org.opensearch.test.OpenSearchIntegTestCase; +import java.util.Collections; +import java.util.List; + /** * End-to-end get-by-id coverage for {@link org.opensearch.index.engine.DataFormatAwareNRTReplicationEngine}: * a doc indexed on the primary is resolvable by id from a replica shard via the row path (the replica @@ -23,20 +26,23 @@ public class DataFormatAwareReplicaGetByIdIT extends DataFormatAwareReplicationBaseIT { public void testGetByIdFromReplica() throws Exception { + int maxDocs = randomInt(20); createDfaIndex(1); // 1 replica, 2 data nodes (from base) - indexDocs(20); // ids 0..19, RefreshPolicy.NONE + List ids = indexDocs(maxDocs); // ids 0..19, RefreshPolicy.NONE client().admin().indices().prepareRefresh(INDEX_NAME).get(); // Ensure the replica's catalog has converged with the primary (segments replicated). assertCatalogSnapshotsConverged(INDEX_NAME); + Collections.shuffle(ids, random()); String replicaNode = replicaNodeNames().get(0); - // Route the GET to the replica copy so DataFormatAwareNRTReplicationEngine#getById serves it. - GetResponse resp = client().prepareGet(INDEX_NAME, "5").setPreference("_only_nodes:" + replicaNode).setRealtime(false).get(); - - assertTrue("replica get-by-id must find the replicated doc via rows", resp.isExists()); - assertEquals(1L, resp.getVersion()); - assertEquals(5L, ((Number) resp.getSourceAsMap().get("field_number")).longValue()); - assertNotNull(resp.getSourceAsMap().get("field_text")); - assertNotNull(resp.getSourceAsMap().get("field_keyword")); + + for (String id : ids) { + // Route the GET to the replica copy so DataFormatAwareNRTReplicationEngine#getById serves it. + GetResponse resp = client().prepareGet(INDEX_NAME, id).setPreference("_only_nodes:" + replicaNode).setRealtime(false).get(); + assertTrue("replica get-by-id must find the replicated doc via rows", resp.isExists()); + assertEquals(1L, resp.getVersion()); + assertNotNull(resp.getSourceAsMap().get("field_text")); + assertNotNull(resp.getSourceAsMap().get("field_keyword")); + } } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationBaseIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationBaseIT.java index 6cb17694e97d3..4ee596da70df0 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationBaseIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationBaseIT.java @@ -11,6 +11,7 @@ import com.carrotsearch.randomizedtesting.ThreadFilter; import com.carrotsearch.randomizedtesting.annotations.ThreadLeakFilters; +import org.opensearch.action.index.IndexResponse; import org.opensearch.arrow.allocator.ArrowBasePlugin; import org.opensearch.be.datafusion.DataFusionPlugin; import org.opensearch.be.lucene.LucenePlugin; @@ -41,6 +42,7 @@ import org.opensearch.test.InternalTestCluster; import org.opensearch.test.OpenSearchIntegTestCase; +import java.util.ArrayList; import java.util.Collection; import java.util.Collections; import java.util.List; @@ -230,14 +232,16 @@ protected void createDfaIndex(int replicaCount) throws Exception { } /** Index N docs with RefreshPolicy.NONE. */ - protected void indexDocs(int count) { + protected List indexDocs(int count) { + List ids = new ArrayList<>(); for (int i = 0; i < count; i++) { - client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(i)) + IndexResponse indexResponse = client().prepareIndex(INDEX_NAME) .setRefreshPolicy(org.opensearch.action.support.WriteRequest.RefreshPolicy.NONE) .setSource("field_text", randomAlphaOfLength(10), "field_keyword", randomAlphaOfLength(10), "field_number", (long) i) .get(); + ids.add(indexResponse.getId()); } + return ids; } /** Primary's node name. */ diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationIT.java index f22f6d3536e4f..45b1d06432918 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationIT.java @@ -127,7 +127,6 @@ protected void indexDocs(int count) { // refresh/flush at the end gives deterministic replication rounds. for (int i = 0; i < count; i++) { client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(i)) .setRefreshPolicy(org.opensearch.action.support.WriteRequest.RefreshPolicy.NONE) .setSource("field_text", randomAlphaOfLength(10), "field_keyword", randomAlphaOfLength(10), "field_number", (long) i) .get(); diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationPromotionIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationPromotionIT.java index 7661993224880..5d156ba37f9c9 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationPromotionIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicationPromotionIT.java @@ -251,6 +251,7 @@ private BackgroundIndexer newIndexer() { ); indexer.setIgnoreIndexingFailures(true); indexer.setFailureAssertion(e -> {}); + indexer.setUseAutoGeneratedIDs(true); return indexer; } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java index 30b35686d723d..9014d7f6c8617 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareRestoreShallowSnapshotV2IT.java @@ -195,7 +195,7 @@ private void indexDocuments(Client client, String indexName, int numOfDocs) { protected void indexDocuments(Client client, String indexName, int fromId, int toId) { for (int i = fromId; i < toId; i++) { String id = Integer.toString(i); - client.prepareIndex(indexName).setId(id).setSource("text", "sometext").get(); + client.prepareIndex(indexName).setSource("text", "sometext").get(); } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareUploadIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareUploadIT.java index 1a6fb281d7104..22ff75e0b21f5 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareUploadIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareUploadIT.java @@ -86,7 +86,6 @@ protected void createDfaIndex(int replicaCount) throws Exception { protected void indexDocs(int count) { for (int i = 0; i < count; i++) { client().prepareIndex(INDEX_NAME) - .setId(String.valueOf(i)) .setSource("field_text", randomAlphaOfLength(10), "field_keyword", randomAlphaOfLength(10), "field_number", (long) i) .get(); } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsFailureIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsFailureIT.java index 58671a1aed1d1..41bd1cf932b93 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsFailureIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsFailureIT.java @@ -117,7 +117,7 @@ public void testTrackerLifecycleAroundEngineFailure() throws Exception { FailableLuceneDataFormatPlugin.failOnNthWrite(3); for (int i = 50; i < 70; i++) { try { - client().prepareIndex(idx).setId(String.valueOf(i)).setSource("name", "injection_" + i, "value", i).get(); + client().prepareIndex(idx).setSource("name", "injection_" + i, "value", i).get(); } catch (Exception expected) { // Engine failure causes indexing exceptions — expected. break; diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsLifecycleIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsLifecycleIT.java index 9a399a9ea8c34..1aab87f23c554 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsLifecycleIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/StatsLifecycleIT.java @@ -367,7 +367,7 @@ public void testConcurrentIndexingAccuracy() throws Exception { start.await(); for (int i = 0; i < docsPerThread; i++) { int docId = threadId * docsPerThread + i; - client().prepareIndex(idx).setId(String.valueOf(docId)).setSource("name", "doc_" + docId, "value", docId).get(); + client().prepareIndex(idx).setSource("name", "doc_" + docId, "value", docId).get(); } } catch (Exception e) { throw new RuntimeException("thread " + threadId + " failed", e); @@ -453,7 +453,7 @@ public void testNonCompositeIndexReturnsEmpty() throws Exception { // Index some docs — these go to plain Lucene, not DFA. for (int i = 0; i < 5; i++) { - client().prepareIndex("plain-idx").setId(String.valueOf(i)).setSource("name", "doc_" + i).get(); + client().prepareIndex("plain-idx").setSource("name", "doc_" + i).get(); } refreshIndex("plain-idx"); diff --git a/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslIntegTestBase.java b/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslIntegTestBase.java index f502fcb5f5635..ea56dda24f678 100644 --- a/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslIntegTestBase.java +++ b/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslIntegTestBase.java @@ -39,7 +39,6 @@ protected void createTestIndex() { createIndex(INDEX); ensureGreen(); client().prepareIndex(INDEX) - .setId("1") .setSource("{\"name\":\"laptop\",\"price\":1200,\"brand\":\"brandX\",\"rating\":4.5}", XContentType.JSON) .get(); refresh(INDEX); diff --git a/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslQueryExecutorIT.java b/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslQueryExecutorIT.java index b449bf22f2768..11a00cb1fc0d1 100644 --- a/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslQueryExecutorIT.java +++ b/sandbox/plugins/dsl-query-executor/src/internalClusterTest/java/org/opensearch/dsl/DslQueryExecutorIT.java @@ -68,7 +68,7 @@ public void testSearchFailsForMultipleIndices() { private void createTestIndex() { createIndex(INDEX); ensureGreen(); - client().prepareIndex(INDEX).setId("1").setSource("{\"name\":\"laptop\",\"price\":1200}", XContentType.JSON).get(); + client().prepareIndex(INDEX).setSource("{\"name\":\"laptop\",\"price\":1200}", XContentType.JSON).get(); refresh(INDEX); } } diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorResilienceIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorResilienceIT.java index f46de7df3b550..2e1e0e63979f8 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorResilienceIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorResilienceIT.java @@ -280,7 +280,7 @@ private void createAndSeedIndex() { ensureGreen(INDEX); for (int i = 0; i < TOTAL_DOCS; i++) { - client().prepareIndex(INDEX).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(INDEX).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(INDEX).get(); client().admin().indices().prepareFlush(INDEX).get(); @@ -324,7 +324,7 @@ private void createSingleShardIndex(String name, int docs) { assertTrue("index creation must be acknowledged", response.isAcknowledged()); ensureGreen(name); for (int i = 0; i < docs; i++) { - client().prepareIndex(name).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(name).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(name).get(); client().admin().indices().prepareFlush(name).get(); @@ -1070,7 +1070,7 @@ private void createSingleShardIndexOnNode(String name, int docs, String nodeName assertTrue("index creation must be acknowledged", response.isAcknowledged()); ensureGreen(name); for (int i = 0; i < docs; i++) { - client().prepareIndex(name).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(name).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(name).get(); } diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTopologyTestBase.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTopologyTestBase.java index 8fa20072a87c7..858425fecb7f8 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTopologyTestBase.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTopologyTestBase.java @@ -119,7 +119,7 @@ protected void runSumOverSeededIndex(String index, int numShards, int docs) thro ensureGreen(index); for (int i = 0; i < docs; i++) { - client().prepareIndex(index).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(index).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(index).get(); client().admin().indices().prepareFlush(index).get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTransportStressIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTransportStressIT.java index 609d802aea052..b69da993165f4 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTransportStressIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/CoordinatorTransportStressIT.java @@ -226,7 +226,7 @@ private void createSingleShardIndex(String indexName) { .get(); assertTrue("create must be acknowledged", response.isAcknowledged()); ensureGreen(indexName); - client().prepareIndex(indexName).setId("0").setSource("value", VALUE).get(); + client().prepareIndex(indexName).setSource("value", VALUE).get(); client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); } @@ -254,7 +254,7 @@ private void createThreeShardIndex() { assertTrue("create must be acknowledged", response.isAcknowledged()); ensureGreen(INDEX_3); for (int i = 0; i < 9; i++) { - client().prepareIndex(INDEX_3).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(INDEX_3).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(INDEX_3).get(); client().admin().indices().prepareFlush(INDEX_3).get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MaxShardsPerQueryIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MaxShardsPerQueryIT.java index 97368fd327194..300c0b456fba0 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MaxShardsPerQueryIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MaxShardsPerQueryIT.java @@ -260,7 +260,7 @@ private void createIndexWithAlias(String indexName, int shardCount, String alias ensureGreen(indexName); for (int i = 0; i < shardCount; i++) { - client().prepareIndex(indexName).setId(indexName + "-" + i).setSource("val", i + 1).get(); + client().prepareIndex(indexName).setSource("val", i + 1).get(); } client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); @@ -290,7 +290,7 @@ private void createSingleIndex(String indexName, int shardCount) { ensureGreen(indexName); for (int i = 0; i < shardCount; i++) { - client().prepareIndex(indexName).setId(String.valueOf(i)).setSource("val", i + 1).get(); + client().prepareIndex(indexName).setSource("val", i + 1).get(); } client().admin().indices().prepareRefresh(indexName).get(); client().admin().indices().prepareFlush(indexName).get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/ShardFailoverIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/ShardFailoverIT.java index 2b65c9f21420c..d6b476e26fc68 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/ShardFailoverIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/ShardFailoverIT.java @@ -166,7 +166,7 @@ public void testQuerySucceedsAfterPrimaryNodeIsolated() throws Exception { } for (int i = 0; i < DOCS; i++) { - client().prepareIndex(INDEX).setId(String.valueOf(i)).setSource("value", VALUE).get(); + client().prepareIndex(INDEX).setSource("value", VALUE).get(); } client().admin().indices().prepareRefresh(INDEX).get(); client().admin().indices().prepareFlush(INDEX).get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/AnalyticsSearchSlowLogIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/AnalyticsSearchSlowLogIT.java index 77d36a93c3d09..664eb7f53eda8 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/AnalyticsSearchSlowLogIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/AnalyticsSearchSlowLogIT.java @@ -238,7 +238,7 @@ private void createAndSeedIndex() { ensureGreen(INDEX); for (int i = 0; i < TOTAL_DOCS; i++) { - client().prepareIndex(INDEX).setId(String.valueOf(i)).setSource("val", i + 1).get(); + client().prepareIndex(INDEX).setSource("val", i + 1).get(); } client().admin().indices().prepareRefresh(INDEX).get(); client().admin().indices().prepareFlush(INDEX).get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/ValuesSqlIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/ValuesSqlIT.java index 81ae1c7b9cd8a..1231605f8bf9f 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/ValuesSqlIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/sql/ValuesSqlIT.java @@ -208,7 +208,7 @@ private void createAndSeedIndex(int shardCount) { // Three distinct vals, each repeated → 1, 2, 3, 1, 2, 3. for (int i = 0; i < TOTAL_DOCS; i++) { int val = (i % 3) + 1; - client().prepareIndex(INDEX).setId(String.valueOf(i)).setSource("val", val).get(); + client().prepareIndex(INDEX).setSource("val", val).get(); } client().admin().indices().prepareRefresh(INDEX).get(); client().admin().indices().prepareFlush(INDEX).get(); @@ -235,7 +235,7 @@ private void createAndSeedHttpLogsIndex(int shardCount) { Object[][] docs = { { "GET", 100 }, { "POST", 50 }, { "GET", 200 }, { "GET", 300 } }; for (int i = 0; i < docs.length; i++) { - client().prepareIndex("http_logs").setId(String.valueOf(i)).setSource("verb", docs[i][0], "size", docs[i][1]).get(); + client().prepareIndex("http_logs").setSource("verb", docs[i][0], "size", docs[i][1]).get(); } client().admin().indices().prepareRefresh("http_logs").get(); client().admin().indices().prepareFlush("http_logs").get(); diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/IndexSortPropagationIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/IndexSortPropagationIT.java index 5dac8b8c1eb0b..e0dd17f8a2c5a 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/IndexSortPropagationIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/IndexSortPropagationIT.java @@ -229,7 +229,6 @@ private void seed(String index) { // CounterID: 1..DOC_COUNT, EventDate spans 2026-05-01..2026-05-(1 + i mod 10). // Same content for both indices — only physical layout differs because of index.sort.field. client().prepareIndex(index) - .setId(String.valueOf(i)) .setSource( "URL", "https://example.com/page" + i, diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/QtfDerivedAboveProjectIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/QtfDerivedAboveProjectIT.java index 9b86183dc87e9..805cd32dcef23 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/QtfDerivedAboveProjectIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/QtfDerivedAboveProjectIT.java @@ -206,7 +206,6 @@ private void createAndSeedIndex(int shardCount) { // CounterID is monotonically increasing so `WHERE CounterID > 0` matches all rows. for (int i = 0; i < 10; i++) { client().prepareIndex(INDEX) - .setId(String.valueOf(i)) .setSource( "URL", "https://example.com/page" + i, diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/SortReverseQtfIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/SortReverseQtfIT.java index 5219e89a4985e..4e2b19a4613c9 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/SortReverseQtfIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/be/datafusion/SortReverseQtfIT.java @@ -311,7 +311,6 @@ private void seedDocs() { for (int i = 0; i < DOCS_PER_FLUSH; i++) { long ts = (long) batch * DOCS_PER_FLUSH + i; client().prepareIndex(INDEX) - .setId(String.valueOf(ts)) .setSource( "ts", ts, diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceIT.java index 40307bae8c501..5b3750e0cca55 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceIT.java @@ -157,7 +157,7 @@ public void testDistinctCountCrossShardOverlap() throws Exception { int total = 800; StringBuilder bulk = new StringBuilder(); for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"o").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append((i % distinct) + 1).append("}\n"); } bulkAndRefresh(index, bulk.toString()); @@ -208,7 +208,7 @@ public void testDistinctCountCrossShardOverlapKeyword() throws Exception { int total = 800; StringBuilder bulk = new StringBuilder(); for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"k").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"label\": \"lbl").append(i % distinct).append("\"}\n"); } bulkAndRefresh(index, bulk.toString()); @@ -674,7 +674,7 @@ private void indexStringGroupDocs() throws Exception { StringBuilder bulk = new StringBuilder(); int total = NUM_SHARDS * DOCS_PER_SHARD; for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"w").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"category\": \"\", \"value\": ").append(i + 1).append("}\n"); } bulkAndRefresh(STRING_GROUP_INDEX, bulk.toString()); @@ -745,7 +745,7 @@ private void indexConstantValueDocs(String indexName) throws Exception { StringBuilder bulk = new StringBuilder(); int total = NUM_SHARDS * DOCS_PER_SHARD; for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(VALUE).append("}\n"); } bulkAndRefresh(indexName, bulk.toString()); @@ -797,7 +797,7 @@ private void createSingleShardParquetBackedIndex(String indexName) throws Except private void indexSequentialValueDocsSingleShard(String indexName) throws Exception { StringBuilder bulk = new StringBuilder(); for (int i = 0; i < DOCS_PER_SHARD; i++) { - bulk.append("{\"index\": {\"_id\": \"s").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(i + 1).append("}\n"); } bulkAndRefresh(indexName, bulk.toString()); @@ -812,7 +812,7 @@ private void indexVaryingValueDocs(String indexName) throws Exception { StringBuilder bulk = new StringBuilder(); int total = NUM_SHARDS * DOCS_PER_SHARD; for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"v").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(i + 1).append("}\n"); } bulkAndRefresh(indexName, bulk.toString()); @@ -826,7 +826,7 @@ private void indexVaryingValueDocs(String indexName) throws Exception { private void indexDuplicateValueDocsSingleShard(String indexName) throws Exception { StringBuilder bulk = new StringBuilder(); for (int i = 0; i < DOCS_PER_SHARD; i++) { - bulk.append("{\"index\": {\"_id\": \"d").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append((i % 5) + 1).append("}\n"); } bulkAndRefresh(indexName, bulk.toString()); @@ -842,7 +842,7 @@ private void indexDuplicateValueDocs(String indexName) throws Exception { StringBuilder bulk = new StringBuilder(); int total = NUM_SHARDS * DOCS_PER_SHARD; for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"d").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append((i % 10) + 1).append("}\n"); } bulkAndRefresh(indexName, bulk.toString()); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceMemtableIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceMemtableIT.java index 55b31501ead99..16b02fc443635 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceMemtableIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/CoordinatorReduceMemtableIT.java @@ -90,7 +90,7 @@ private void indexDeterministicDocs() throws Exception { int total = NUM_SHARDS * DOCS_PER_SHARD; StringBuilder bulk = new StringBuilder(); for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(VALUE).append("}\n"); } diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DateNanosUDTPrecisionIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DateNanosUDTPrecisionIT.java index 55f023027752c..8148d2c962213 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DateNanosUDTPrecisionIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DateNanosUDTPrecisionIT.java @@ -87,13 +87,13 @@ private void createParquetBackedIndex() throws Exception { private void indexDocs() throws Exception { // 4 docs, two distinct dates, spread across shards by id parity. basic_date is yyyymmdd. - String bulk = "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"1\"}}\n" + String bulk = "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"d\":\"20240101\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"2\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"d\":\"20240102\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"3\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"d\":\"20240103\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"4\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"d\":\"20240104\"}\n"; Request bulkReq = new Request("POST", "/_bulk"); bulkReq.addParameter("refresh", "true"); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/GroupedListAggregateMultiShardIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/GroupedListAggregateMultiShardIT.java index a4095c22cb9a9..7e374cef4d966 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/GroupedListAggregateMultiShardIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/GroupedListAggregateMultiShardIT.java @@ -84,13 +84,13 @@ private void provision() throws Exception { client().performRequest(health); // 4 docs distributed across the 2 shards by _id hash. grp ∈ {1,2}, str_value ∈ {x,y}. - String bulk = "{\"index\":{\"_id\":\"1\"}}\n" + String bulk = "{\"index\":{}}\n" + "{\"num_value\":10,\"grp\":1,\"str_value\":\"x\"}\n" - + "{\"index\":{\"_id\":\"2\"}}\n" + + "{\"index\":{}}\n" + "{\"num_value\":20,\"grp\":2,\"str_value\":\"y\"}\n" - + "{\"index\":{\"_id\":\"3\"}}\n" + + "{\"index\":{}}\n" + "{\"num_value\":30,\"grp\":1,\"str_value\":\"x\"}\n" - + "{\"index\":{\"_id\":\"4\"}}\n" + + "{\"index\":{}}\n" + "{\"num_value\":40,\"grp\":2,\"str_value\":\"y\"}\n"; Request bulkRequest = new Request("POST", "/" + INDEX + "/_bulk"); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LateMaterializationDateNanosIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LateMaterializationDateNanosIT.java index 4540c87aa412e..2bfb6835602f5 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LateMaterializationDateNanosIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LateMaterializationDateNanosIT.java @@ -85,17 +85,17 @@ private void createParquetBackedIndex() throws Exception { private void indexDocs() throws Exception { String bulk = - "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"1\"}}\n" + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:01:01.123456Z\",\"service\":\"checkout\",\"severity\":\"ERROR\",\"body\":\"failed order: payment declined\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"2\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:02:01.234567Z\",\"service\":\"checkout\",\"severity\":\"ERROR\",\"body\":\"failed order due to expired session\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"3\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:03:01.345678Z\",\"service\":\"checkout\",\"severity\":\"WARN\",\"body\":\"failed order: inventory check\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"4\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:04:01.456789Z\",\"service\":\"checkout\",\"severity\":\"ERROR\",\"body\":\"failed gateway\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"5\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:05:00.000000Z\",\"service\":\"frontend\",\"severity\":\"INFO\",\"body\":\"ok\"}\n" - + "{\"index\":{\"_index\":\"" + INDEX + "\",\"_id\":\"6\"}}\n" + + "{\"index\":{\"_index\":\"" + INDEX + "\"}}\n" + "{\"ts\":\"2025-09-23T00:06:00.000000Z\",\"service\":\"checkout\",\"severity\":\"INFO\",\"body\":\"successful\"}\n"; Request bulkReq = new Request("POST", "/_bulk"); bulkReq.addParameter("refresh", "true"); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiShardIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiShardIT.java index dce436c986e8c..0543e99adae68 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiShardIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiShardIT.java @@ -160,7 +160,7 @@ private void provision() throws Exception { // FULL_TEXT_SEARCH" — so we rely on default _id routing.) The cross-shard reduce path is // exercised because the SINGLE list/values aggregate is gathered from all shards; the // assertions sort the merged list so they hold regardless of the exact 1/1 vs 2/0 split. - String bulk = "{\"index\":{\"_id\":\"1\"}}\n" + String bulk = "{\"index\":{}}\n" + "{" + "\"byte_value\":4,\"short_value\":3,\"integer_value\":2,\"long_value\":1," + "\"float_value\":6.2,\"double_value\":5.1," @@ -168,7 +168,7 @@ private void provision() throws Exception { + "\"binary_value\":\"YWFh\"," + "\"date_value\":\"2020-10-13 13:00:00\",\"ip_value\":\"127.0.0.1\"" + "}\n" - + "{\"index\":{\"_id\":\"2\"}}\n" + + "{\"index\":{}}\n" + "{" + "\"byte_value\":40,\"short_value\":30,\"integer_value\":20,\"long_value\":10," + "\"float_value\":60.2,\"double_value\":50.1," diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiTypeIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiTypeIT.java index ae6500d5cb1b2..c3145aed2e8a3 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiTypeIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListAggregateMultiTypeIT.java @@ -153,7 +153,7 @@ private void provision() throws Exception { health.addParameter("timeout", "30s"); client().performRequest(health); - String bulk = "{\"index\":{\"_id\":\"1\"}}\n" + String bulk = "{\"index\":{}}\n" + "{" + "\"boolean_value\":true," + "\"byte_value\":4," diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListValuesRenderingIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListValuesRenderingIT.java index 950da6bdfd6b7..2ea0776b149ae 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListValuesRenderingIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ListValuesRenderingIT.java @@ -120,13 +120,13 @@ private void provision(int shards) throws Exception { // num: 2, 10, 2, null → list drops null (10,2,2); values distinct+sorted ("10","2") // flag: true, false, true, (absent) → list (true,false,true); values ("false","true") - String bulk = "{\"index\":{\"_id\":\"1\"}}\n" + String bulk = "{\"index\":{}}\n" + "{\"num\":2,\"flag\":true}\n" - + "{\"index\":{\"_id\":\"2\"}}\n" + + "{\"index\":{}}\n" + "{\"num\":10,\"flag\":false}\n" - + "{\"index\":{\"_id\":\"3\"}}\n" + + "{\"index\":{}}\n" + "{\"num\":2,\"flag\":true}\n" - + "{\"index\":{\"_id\":\"4\"}}\n" + + "{\"index\":{}}\n" + "{}\n"; Request bulkRequest = new Request("POST", "/" + INDEX + "/_bulk"); bulkRequest.setJsonEntity(bulk); diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LocalRecoveryIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LocalRecoveryIT.java index 2555c28146c7a..a4584473bc53a 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LocalRecoveryIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LocalRecoveryIT.java @@ -74,11 +74,11 @@ private void ensureIndexProvisioned() throws IOException { // Bulk index documents StringBuilder bulk = new StringBuilder(); - bulk.append("{\"index\": {\"_id\": \"1\"}}\n{\"name\": \"alice\", \"age\": 30, \"score\": 95.5}\n"); - bulk.append("{\"index\": {\"_id\": \"2\"}}\n{\"name\": \"bob\", \"age\": 25, \"score\": 88.0}\n"); - bulk.append("{\"index\": {\"_id\": \"3\"}}\n{\"name\": \"carol\", \"age\": 35, \"score\": 92.3}\n"); - bulk.append("{\"index\": {\"_id\": \"4\"}}\n{\"name\": \"dave\", \"age\": 28, \"score\": 76.8}\n"); - bulk.append("{\"index\": {\"_id\": \"5\"}}\n{\"name\": \"eve\", \"age\": 32, \"score\": 91.0}\n"); + bulk.append("{\"index\": {}}\n{\"name\": \"alice\", \"age\": 30, \"score\": 95.5}\n"); + bulk.append("{\"index\": {}}\n{\"name\": \"bob\", \"age\": 25, \"score\": 88.0}\n"); + bulk.append("{\"index\": {}}\n{\"name\": \"carol\", \"age\": 35, \"score\": 92.3}\n"); + bulk.append("{\"index\": {}}\n{\"name\": \"dave\", \"age\": 28, \"score\": 76.8}\n"); + bulk.append("{\"index\": {}}\n{\"name\": \"eve\", \"age\": 32, \"score\": 91.0}\n"); Request bulkRequest = new Request("POST", "/" + INDEX_NAME + "/_bulk"); bulkRequest.setJsonEntity(bulk.toString()); @@ -190,7 +190,7 @@ public void testQueryResultsIdenticalAfterForceMergeAndRestart() throws IOExcept for (int batch = 0; batch < numBatches; batch++) { StringBuilder bulk = new StringBuilder(); for (int i = 0; i < docsPerBatch; i++) { - bulk.append("{\"index\": {\"_id\": \"").append(docId).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"name\": \"user_") .append(docId) .append("\", \"age\": ") diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/StreamingCoordinatorReduceIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/StreamingCoordinatorReduceIT.java index d3314d526a80b..67027488abb06 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/StreamingCoordinatorReduceIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/StreamingCoordinatorReduceIT.java @@ -220,7 +220,7 @@ private void indexValuedDocs(IntUnaryOperator valueFn) throws Exception { int total = NUM_SHARDS * DOCS_PER_SHARD; StringBuilder bulk = new StringBuilder(); for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(valueFn.applyAsInt(i)).append("}\n"); } @@ -285,7 +285,7 @@ private void indexDeterministicDocs() throws Exception { int total = NUM_SHARDS * DOCS_PER_SHARD; StringBuilder bulk = new StringBuilder(); for (int i = 0; i < total; i++) { - bulk.append("{\"index\": {\"_id\": \"").append(i).append("\"}}\n"); + bulk.append("{\"index\": {}}\n"); bulk.append("{\"value\": ").append(VALUE).append("}\n"); } diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/ip_multishard/bulk.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/ip_multishard/bulk.json index 5abc1a5eb4cfb..fa5e1ad36c833 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/ip_multishard/bulk.json +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/ip_multishard/bulk.json @@ -1,20 +1,20 @@ -{"index": {"_id": "0"}} +{"index": {}} {"id": 0, "client_ip": "10.0.0.0", "status_code": 200} -{"index": {"_id": "1"}} +{"index": {}} {"id": 1, "client_ip": "10.0.0.1", "status_code": 201} -{"index": {"_id": "2"}} +{"index": {}} {"id": 2, "client_ip": "10.0.0.2", "status_code": 202} -{"index": {"_id": "3"}} +{"index": {}} {"id": 3, "client_ip": "10.0.0.3", "status_code": 200} -{"index": {"_id": "4"}} +{"index": {}} {"id": 4, "client_ip": "10.0.0.4", "status_code": 201} -{"index": {"_id": "5"}} +{"index": {}} {"id": 5, "client_ip": "10.0.0.5", "status_code": 202} -{"index": {"_id": "6"}} +{"index": {}} {"id": 6, "client_ip": "10.0.0.6", "status_code": 200} -{"index": {"_id": "7"}} +{"index": {}} {"id": 7, "client_ip": "10.0.0.7", "status_code": 201} -{"index": {"_id": "8"}} +{"index": {}} {"id": 8, "client_ip": "10.0.0.8", "status_code": 202} -{"index": {"_id": "9"}} +{"index": {}} {"id": 9, "client_ip": "10.0.0.9", "status_code": 200} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/merge_coverage/bulk.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/merge_coverage/bulk.json index d19910527c170..df208340ce1ea 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/merge_coverage/bulk.json +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/merge_coverage/bulk.json @@ -1,60 +1,60 @@ -{"index": {"_id": "0"}} +{"index": {}} {"id": 0, "category": "A", "region": "east", "amount": 1, "price": 1.5, "label": "lbl1", "flag": false, "ts": "2024-01-01", "opt": 1, "payload": "{\"v\": 1}", "big_amount": 3000000000, "client_ip": "10.0.0.1", "opt_ts": "2024-01-01", "@timestamp": "2024-01-01"} -{"index": {"_id": "1"}} +{"index": {}} {"id": 1, "category": "A", "region": "west", "amount": 2, "price": 3.0, "label": "lbl2", "flag": true, "ts": "2024-01-02", "payload": "{\"v\": 2}", "big_amount": 6000000000, "@timestamp": "2024-01-02"} -{"index": {"_id": "2"}} +{"index": {}} {"id": 2, "category": "A", "region": "east", "amount": 3, "price": 4.5, "label": "lbl3", "flag": false, "ts": "2024-01-03", "opt": 3, "payload": "{\"v\": 3}", "big_amount": 9000000000, "client_ip": "192.168.1.1", "opt_ts": "2024-01-03", "@timestamp": "2024-01-03"} -{"index": {"_id": "3"}} +{"index": {}} {"id": 3, "category": "A", "region": "west", "amount": 4, "price": 6.0, "label": "lbl4", "flag": true, "ts": "2024-01-04", "payload": "{\"v\": 4}", "big_amount": 12000000000, "@timestamp": "2024-01-04"} -{"index": {"_id": "4"}} +{"index": {}} {"id": 4, "category": "A", "region": "east", "amount": 5, "price": 7.5, "label": "lbl0", "flag": false, "ts": "2024-01-05", "opt": 5, "payload": "{\"v\": 5}", "big_amount": 15000000000, "client_ip": "172.16.0.1", "opt_ts": "2024-01-05", "@timestamp": "2024-01-05"} -{"index": {"_id": "5"}} +{"index": {}} {"id": 5, "category": "A", "region": "west", "amount": 6, "price": 9.0, "label": "lbl1", "flag": true, "ts": "2024-01-06", "payload": "{\"v\": 6}", "big_amount": 18000000000, "@timestamp": "2024-01-06"} -{"index": {"_id": "6"}} +{"index": {}} {"id": 6, "category": "A", "region": "east", "amount": 7, "price": 10.5, "label": "lbl2", "flag": false, "ts": "2024-01-07", "opt": 7, "payload": "{\"v\": 7}", "big_amount": 21000000000, "client_ip": "10.0.0.2", "opt_ts": "2024-01-07", "@timestamp": "2024-01-07"} -{"index": {"_id": "7"}} +{"index": {}} {"id": 7, "category": "A", "region": "west", "amount": 8, "price": 12.0, "label": "lbl3", "flag": true, "ts": "2024-01-08", "payload": "{\"v\": 8}", "big_amount": 24000000000, "@timestamp": "2024-01-08"} -{"index": {"_id": "8"}} +{"index": {}} {"id": 8, "category": "A", "region": "east", "amount": 9, "price": 13.5, "label": "lbl4", "flag": false, "ts": "2024-01-09", "opt": 9, "payload": "{\"v\": 9}", "big_amount": 27000000000, "client_ip": "192.168.1.2", "opt_ts": "2024-01-09", "@timestamp": "2024-01-09"} -{"index": {"_id": "9"}} +{"index": {}} {"id": 9, "category": "A", "region": "west", "amount": 10, "price": 15.0, "label": "lbl0", "flag": true, "ts": "2024-01-10", "payload": "{\"v\": 10}", "big_amount": 30000000000, "@timestamp": "2024-01-10"} -{"index": {"_id": "10"}} +{"index": {}} {"id": 10, "category": "B", "region": "east", "amount": 11, "price": 16.5, "label": "lbl1", "flag": false, "ts": "2024-01-11", "opt": 11, "payload": "{\"v\": 11}", "big_amount": 33000000000, "client_ip": "10.0.0.1", "opt_ts": "2024-01-11", "@timestamp": "2024-01-11"} -{"index": {"_id": "11"}} +{"index": {}} {"id": 11, "category": "B", "region": "west", "amount": 12, "price": 18.0, "label": "lbl2", "flag": true, "ts": "2024-01-12", "payload": "{\"v\": 12}", "big_amount": 36000000000, "@timestamp": "2024-01-12"} -{"index": {"_id": "12"}} +{"index": {}} {"id": 12, "category": "B", "region": "east", "amount": 13, "price": 19.5, "label": "lbl3", "flag": false, "ts": "2024-01-13", "opt": 13, "payload": "{\"v\": 13}", "big_amount": 39000000000, "client_ip": "192.168.1.1", "opt_ts": "2024-01-13", "@timestamp": "2024-01-13"} -{"index": {"_id": "13"}} +{"index": {}} {"id": 13, "category": "B", "region": "west", "amount": 14, "price": 21.0, "label": "lbl4", "flag": true, "ts": "2024-01-14", "payload": "{\"v\": 14}", "big_amount": 42000000000, "@timestamp": "2024-01-14"} -{"index": {"_id": "14"}} +{"index": {}} {"id": 14, "category": "B", "region": "east", "amount": 15, "price": 22.5, "label": "lbl0", "flag": false, "ts": "2024-01-15", "opt": 15, "payload": "{\"v\": 15}", "big_amount": 45000000000, "client_ip": "172.16.0.1", "opt_ts": "2024-01-15", "@timestamp": "2024-01-15"} -{"index": {"_id": "15"}} +{"index": {}} {"id": 15, "category": "B", "region": "west", "amount": 16, "price": 24.0, "label": "lbl1", "flag": true, "ts": "2024-01-16", "payload": "{\"v\": 16}", "big_amount": 48000000000, "@timestamp": "2024-01-16"} -{"index": {"_id": "16"}} +{"index": {}} {"id": 16, "category": "B", "region": "east", "amount": 17, "price": 25.5, "label": "lbl2", "flag": false, "ts": "2024-01-17", "opt": 17, "payload": "{\"v\": 17}", "big_amount": 51000000000, "client_ip": "10.0.0.2", "opt_ts": "2024-01-17", "@timestamp": "2024-01-17"} -{"index": {"_id": "17"}} +{"index": {}} {"id": 17, "category": "B", "region": "west", "amount": 18, "price": 27.0, "label": "lbl3", "flag": true, "ts": "2024-01-18", "payload": "{\"v\": 18}", "big_amount": 54000000000, "@timestamp": "2024-01-18"} -{"index": {"_id": "18"}} +{"index": {}} {"id": 18, "category": "B", "region": "east", "amount": 19, "price": 28.5, "label": "lbl4", "flag": false, "ts": "2024-01-19", "opt": 19, "payload": "{\"v\": 19}", "big_amount": 57000000000, "client_ip": "192.168.1.2", "opt_ts": "2024-01-19", "@timestamp": "2024-01-19"} -{"index": {"_id": "19"}} +{"index": {}} {"id": 19, "category": "B", "region": "west", "amount": 20, "price": 30.0, "label": "lbl0", "flag": true, "ts": "2024-01-20", "payload": "{\"v\": 20}", "big_amount": 60000000000, "@timestamp": "2024-01-20"} -{"index": {"_id": "20"}} +{"index": {}} {"id": 20, "category": "C", "region": "east", "amount": 21, "price": 31.5, "label": "lbl1", "flag": false, "ts": "2024-01-21", "opt": 21, "payload": "{\"v\": 21}", "big_amount": 63000000000, "client_ip": "10.0.0.1", "opt_ts": "2024-01-21", "@timestamp": "2024-01-21"} -{"index": {"_id": "21"}} +{"index": {}} {"id": 21, "category": "C", "region": "west", "amount": 22, "price": 33.0, "label": "lbl2", "flag": true, "ts": "2024-01-22", "payload": "{\"v\": 22}", "big_amount": 66000000000, "@timestamp": "2024-01-22"} -{"index": {"_id": "22"}} +{"index": {}} {"id": 22, "category": "C", "region": "east", "amount": 23, "price": 34.5, "label": "lbl3", "flag": false, "ts": "2024-01-23", "opt": 23, "payload": "{\"v\": 23}", "big_amount": 69000000000, "client_ip": "192.168.1.1", "opt_ts": "2024-01-23", "@timestamp": "2024-01-23"} -{"index": {"_id": "23"}} +{"index": {}} {"id": 23, "category": "C", "region": "west", "amount": 24, "price": 36.0, "label": "lbl4", "flag": true, "ts": "2024-01-24", "payload": "{\"v\": 24}", "big_amount": 72000000000, "@timestamp": "2024-01-24"} -{"index": {"_id": "24"}} +{"index": {}} {"id": 24, "category": "C", "region": "east", "amount": 25, "price": 37.5, "label": "lbl0", "flag": false, "ts": "2024-01-25", "opt": 25, "payload": "{\"v\": 25}", "big_amount": 75000000000, "client_ip": "172.16.0.1", "opt_ts": "2024-01-25", "@timestamp": "2024-01-25"} -{"index": {"_id": "25"}} +{"index": {}} {"id": 25, "category": "C", "region": "west", "amount": 26, "price": 39.0, "label": "lbl1", "flag": true, "ts": "2024-01-26", "payload": "{\"v\": 26}", "big_amount": 78000000000, "@timestamp": "2024-01-26"} -{"index": {"_id": "26"}} +{"index": {}} {"id": 26, "category": "C", "region": "east", "amount": 27, "price": 40.5, "label": "lbl2", "flag": false, "ts": "2024-01-27", "opt": 27, "payload": "{\"v\": 27}", "big_amount": 81000000000, "client_ip": "10.0.0.2", "opt_ts": "2024-01-27", "@timestamp": "2024-01-27"} -{"index": {"_id": "27"}} +{"index": {}} {"id": 27, "category": "C", "region": "west", "amount": 28, "price": 42.0, "label": "lbl3", "flag": true, "ts": "2024-01-28", "payload": "{\"v\": 28}", "big_amount": 84000000000, "@timestamp": "2024-01-28"} -{"index": {"_id": "28"}} +{"index": {}} {"id": 28, "category": "C", "region": "east", "amount": 29, "price": 43.5, "label": "lbl4", "flag": false, "ts": "2024-01-29", "opt": 29, "payload": "{\"v\": 29}", "big_amount": 87000000000, "client_ip": "192.168.1.2", "opt_ts": "2024-01-29", "@timestamp": "2024-01-29"} -{"index": {"_id": "29"}} +{"index": {}} {"id": 29, "category": "C", "region": "west", "amount": 30, "price": 45.0, "label": "lbl0", "flag": true, "ts": "2024-01-30", "payload": "{\"v\": 30}", "big_amount": 90000000000, "@timestamp": "2024-01-30"} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/object_fields/bulk.json b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/object_fields/bulk.json index 323018b2c91be..b29e9a9b1ed86 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/object_fields/bulk.json +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/datasets/object_fields/bulk.json @@ -1,7 +1,7 @@ -{"index": {"_id": "1"}} +{"index": {}} {"id": "1", "city": {"name": "Seattle", "population": 750000, "location": {"latitude": 47.6062, "longitude": -122.3321}}, "account": {"owner": "alice", "balance": 1000.50}} -{"index": {"_id": "2"}} +{"index": {}} {"id": "2", "city": {"name": "Portland", "population": 650000, "location": {"latitude": 45.5152, "longitude": -122.6784}}, "account": {"owner": "bob", "balance": 2500.00}} -{"index": {"_id": "3"}} +{"index": {}} {"id": "3", "city": {"name": "Austin", "population": 980000, "location": {"latitude": 30.2672, "longitude": -97.7431}}, "account": {"owner": "carol", "balance": 300.25}} diff --git a/server/src/main/java/org/opensearch/cluster/metadata/IndexMetadata.java b/server/src/main/java/org/opensearch/cluster/metadata/IndexMetadata.java index 3a30d0688f734..d951e4b2786a8 100644 --- a/server/src/main/java/org/opensearch/cluster/metadata/IndexMetadata.java +++ b/server/src/main/java/org/opensearch/cluster/metadata/IndexMetadata.java @@ -68,6 +68,7 @@ import org.opensearch.core.xcontent.XContentParser; import org.opensearch.gateway.MetadataStateFormat; import org.opensearch.index.IndexModule; +import org.opensearch.index.IndexSettings; import org.opensearch.index.mapper.MapperService; import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.indices.pollingingest.IngestionErrorStrategy; @@ -2490,7 +2491,8 @@ public IndexMetadata build() { ShardsLimitAllocationDecider.INDEX_TOTAL_REMOTE_CAPABLE_SHARDS_PER_NODE_SETTING.get(settings); final int indexTotalRemoteCapablePrimaryShardsPerNodeLimit = ShardsLimitAllocationDecider.INDEX_TOTAL_REMOTE_CAPABLE_PRIMARY_SHARDS_PER_NODE_SETTING.get(settings); - final boolean isAppendOnlyIndex = INDEX_APPEND_ONLY_ENABLED_SETTING.get(settings); + final boolean isAppendOnlyIndex = INDEX_APPEND_ONLY_ENABLED_SETTING.get(settings) + || IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.get(settings); final String uuid = settings.get(SETTING_INDEX_UUID, INDEX_UUID_NA_VALUE); diff --git a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java index b1d474217be91..a940122e73ca2 100644 --- a/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java +++ b/server/src/test/java/org/opensearch/index/engine/DataFormatAwareEngineTests.java @@ -24,6 +24,7 @@ import org.opensearch.common.settings.Settings; import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.BigArrays; +import org.opensearch.core.index.AppendOnlyIndexOperationRetryException; import org.opensearch.core.index.Index; import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexModule; @@ -3908,8 +3909,8 @@ public void testResolveDocVersionFallsBackToProvider() throws IOException { // Re-index same doc — resolveDocVersion misses versionMap (cleared by refresh rotation), // falls back to provider which returns version=5. MATCH_ANY accepts. Engine.IndexResult result = engine.index(indexOp(createParsedDocWithInput("1", null))); - assertThat(result.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); - assertThat(result.getSeqNo(), equalTo(1L)); + assertThat(result.getResultType(), equalTo(Engine.Result.Type.FAILURE)); + assertEquals(result.getFailure().getClass(), AppendOnlyIndexOperationRetryException.class); } } @@ -4029,7 +4030,8 @@ public void testRestoreVersionMapSkipsStaleEntries() throws IOException { assertThat(engine.getProcessedLocalCheckpoint(), equalTo(5L)); // Index "x" again — should succeed (versionMap has version=2 from seqNo=5 entry) Engine.IndexResult result = engine.index(indexOp(createParsedDocWithInput("x", null))); - assertThat(result.getResultType(), equalTo(Engine.Result.Type.SUCCESS)); + assertThat(result.getResultType(), equalTo(Engine.Result.Type.FAILURE)); + assertEquals(result.getFailure().getClass(), AppendOnlyIndexOperationRetryException.class); } } From 223d2a707f073ad465922ad8476f4d9d8d842396 Mon Sep 17 00:00:00 2001 From: Suresh N S <41610499+nssuresh2007@users.noreply.github.com> Date: Tue, 23 Jun 2026 15:16:05 +0530 Subject: [PATCH 32/94] Reducing the ingestion/write memory limit by 50% of original value (#22273) * Reducing the ingestion/write memory limit by 50% of their original values for warm and increase warm metadata cache Signed-off-by: Suresh N S --- .../arrow/allocator/ArrowBasePlugin.java | 9 ++++--- .../arrow/allocator/ArrowBasePluginTests.java | 15 +++++++++-- .../be/datafusion/cache/CacheSettings.java | 26 +++++++++++-------- .../CacheSettingsPercentValidationTests.java | 2 +- .../opensearch/parquet/ParquetSettings.java | 7 ++--- 5 files changed, 38 insertions(+), 21 deletions(-) diff --git a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java index 6a2c52a46f9ce..b0fe6a5ee22b7 100644 --- a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java +++ b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java @@ -11,6 +11,7 @@ import org.opensearch.arrow.spi.NativeAllocatorPoolConfig; import org.opensearch.arrow.spi.PoolGroup; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; +import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.cluster.node.DiscoveryNodes; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.settings.ClusterSettings; @@ -125,19 +126,19 @@ public ArrowBasePlugin() {} Setting.Property.Dynamic ); - /** Minimum guaranteed bytes for the ingest pool. Default is 4% of budget. */ + /** Minimum guaranteed bytes for the ingest pool. Default is 2% of budget on warm nodes, 4% otherwise. */ public static final Setting INGEST_MIN_SETTING = new Setting<>( NativeAllocatorPoolConfig.SETTING_INGEST_MIN, - s -> derivePoolMinDefault(s, 4), + s -> derivePoolMinDefault(s, DiscoveryNode.isWarmNode(s) ? 2 : 4), s -> parseNonNegativeLong(s, NativeAllocatorPoolConfig.SETTING_INGEST_MIN), Setting.Property.NodeScope, Setting.Property.Dynamic ); - /** Maximum bytes the ingest pool can burst to. Default is 8% of budget. */ + /** Maximum bytes the ingest pool can burst to. Default is 4% of budget on warm nodes, 8% otherwise. */ public static final Setting INGEST_MAX_SETTING = new Setting<>( NativeAllocatorPoolConfig.SETTING_INGEST_MAX, - s -> derivePoolMaxDefault(s, 8), + s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 4 : 8), s -> parseNonNegativeLong(s, NativeAllocatorPoolConfig.SETTING_INGEST_MAX), Setting.Property.NodeScope, Setting.Property.Dynamic diff --git a/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java b/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java index df2673a5a8a7b..6bc5660171ab4 100644 --- a/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java +++ b/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java @@ -28,10 +28,11 @@ public void testQuerySettingsExposeDefaults() { } public void testFlightAndIngestMinDerivedFromBudget() { - // With node.native_memory.limit set, mins derive as percentages + // With node.native_memory.limit set, mins derive as percentages. No warm role here, so + // ingest uses the non-warm default. Settings s = Settings.builder().put("node.native_memory.limit", "1gb").build(); long budget = 1024L * 1024 * 1024; - // flight min = 2% of budget, ingest min = 4% of budget + // flight min = 2% of budget, ingest min = 4% of budget (non-warm) assertEquals(Long.valueOf(budget * 2 / 100), ArrowBasePlugin.FLIGHT_MIN_SETTING.get(s)); assertEquals(Long.valueOf(budget * 4 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); } @@ -47,13 +48,23 @@ public void testPoolMaxDefaultsScaleFromAcBudget() { Settings s = Settings.builder().put("node.native_memory.limit", "10gb").build(); long limit = 10L * 1024 * 1024 * 1024; assertEquals(Long.valueOf(limit * 5 / 100), ArrowBasePlugin.FLIGHT_MAX_SETTING.get(s)); + // No warm role, so ingest uses the non-warm default (8%). assertEquals(Long.valueOf(limit * 8 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); assertEquals(Long.valueOf(limit * 5 / 100), ArrowBasePlugin.QUERY_MAX_SETTING.get(s)); } + public void testIngestPoolDefaultsAreReducedOnWarmNodes() { + // Warm nodes shrink the ingest pool (min 2%, max 4%) to free budget for the metadata cache. + Settings s = Settings.builder().put("node.native_memory.limit", "10gb").putList("node.roles", "warm").build(); + long limit = 10L * 1024 * 1024 * 1024; + assertEquals(Long.valueOf(limit * 2 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); + assertEquals(Long.valueOf(limit * 4 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); + } + public void testPoolMaxDefaultsIgnoreBufferPercent() { Settings s = Settings.builder().put("node.native_memory.limit", "1000b").put("node.native_memory.buffer_percent", 20).build(); assertEquals(Long.valueOf(50L), ArrowBasePlugin.FLIGHT_MAX_SETTING.get(s)); + // No warm role, so ingest uses the non-warm default (8% of 1000 = 80). assertEquals(Long.valueOf(80L), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); assertEquals(Long.valueOf(50L), ArrowBasePlugin.QUERY_MAX_SETTING.get(s)); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java index 0a0706ed2a22e..6623f1f1c9dfa 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheSettings.java @@ -8,6 +8,7 @@ package org.opensearch.be.datafusion.cache; +import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; import org.opensearch.core.common.unit.ByteSizeUnit; @@ -24,22 +25,23 @@ * 
        * node.native_memory.limit = 80% of off-heap
  *   ├── 71% → datafusion.memory_pool_limit_bytes  (operator pool)
- *   ├──  3% → datafusion.metadata_index_cache.total_size   (all metadata caches (footer + page indexes), this class)
+ *   ├──  9% → datafusion.metadata_index_cache.total_size   (all metadata caches (footer + page indexes), this class)
+ *   │     │       (9% on warm nodes; 3% on all other node types)
  *   │     ├── 50% → metadata cache   (footer metadata, Rust jemalloc)
  *   │     ├── 35% → offset index     (projection-driven, Rust jemalloc)
  *   │     └── 15% → column index     (predicate-driven, Rust jemalloc)
- *   ├──  8% → Arrow ingest pool
+ *   ├──  4% → Arrow ingest pool                            (4% on warm nodes; 8% on all other node types)
  *   ├──  5% → Arrow flight pool
  *   ├──  5% → Arrow query pool
- *   ├──  5% → Parquet write pool
+ *   ├──  3% → Parquet write pool                           (3% on warm nodes; 5% on all other node types)
  *   └──  3% → Parquet merge pool
- *   = 100%
+ *   = 100% (warm node)
  *
      * *

      The three sub-cache percentages must sum to <= 100 (unused headroom is accepted). Changing any one without adjusting * the others is rejected at validation time. * - *

      The statistics cache is sized independently (not part of the 3% total) because it + *

      The statistics cache is sized independently (not part of the 9% total) because it * holds file-level row-group statistics, not page-level indexes — a different working set * with different eviction characteristics. */ @@ -103,14 +105,14 @@ public class CacheSettings { Setting.Property.Dynamic ); - // Page-cache total budget (3% of node.native_memory.limit) + // Page-cache total budget (9% of node.native_memory.limit on warm nodes, 3% otherwise) public static final String METADATA_INDEX_CACHE_TOTAL_SIZE_KEY = "datafusion.metadata_index_cache.total_size"; /** * Total byte budget for all three metadata caches (footer metadata, ColumnIndex, - * OffsetIndex). Defaults to 3% of {@code node.native_memory.limit}; falls back to - * 500 MB when AC is unconfigured. + * OffsetIndex). Defaults to 9% of {@code node.native_memory.limit} on warm nodes + * (3% on all other node types); falls back to 500 MB when AC is unconfigured. */ public static final Setting METADATA_INDEX_CACHE_TOTAL_SIZE = new Setting<>( METADATA_INDEX_CACHE_TOTAL_SIZE_KEY, @@ -220,15 +222,17 @@ public static long[] computeCacheSizes(int metaPct, int oiPct, int ciPct, int st // ── Helpers ────────────────────────────────────────────────────────────── /** - * Default total page-cache budget: 3% of {@code node.native_memory.limit}. - * Falls back to 500 MB when AC is unconfigured (limit == 0). + * Default total page-cache budget: 9% of {@code node.native_memory.limit} on warm nodes, + * 3% on all other node types. Falls back to 500 MB when AC is unconfigured (limit == 0). */ static String deriveMetadataIndexCacheTotalDefault(Settings settings) { ByteSizeValue nativeLimit = ResourceTrackerSettings.NODE_NATIVE_MEMORY_LIMIT_SETTING.get(settings); if (nativeLimit.getBytes() <= 0) { return (500L * 1024 * 1024) + "b"; } - long total = Math.max(nativeLimit.getBytes() * 3 / 100, 0L); + // Warm nodes dedicate a larger share (9%) to metadata caches; other node types retain the 3% default. + int percent = DiscoveryNode.isWarmNode(settings) ? 9 : 3; + long total = Math.max(nativeLimit.getBytes() * percent / 100, 0L); return total + "b"; } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java index 9a8b14a279406..332556ceeb99f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/cache/CacheSettingsPercentValidationTests.java @@ -72,7 +72,7 @@ public void testErrorMessageNamesAllKeys() { // ── computeCacheSizes ───────────────────────────────────────────────────── public void testComputeSizesDefaultSplit() { - long total = 1_150_000_000L; // ~1.15 GB (3% of 38.4 GB native limit on r6g.2xlarge) + long total = 1_150_000_000L; // ~1.15 GB sample metadata-index cache total budget long[] sizes = CacheSettings.computeCacheSizes(48, 34, 13, 5, total); assertEquals(4, sizes.length); assertEquals(total * 48 / 100, sizes[0]); // footer ~552 MB diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java index 245e65bf35edb..59ec98bd19d2f 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java @@ -14,6 +14,7 @@ import org.apache.arrow.vector.types.pojo.ArrowType; import org.apache.arrow.vector.types.pojo.Field; import org.apache.arrow.vector.types.pojo.Schema; +import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; import org.opensearch.core.common.unit.ByteSizeUnit; @@ -185,7 +186,7 @@ private ParquetSettings() {} Setting.Property.Dynamic ); - /** Minimum guaranteed bytes for the native write pool. Default is half of write max (2% of budget). */ + /** Minimum guaranteed bytes for the native write pool. Default is 2% of budget. */ public static final Setting WRITE_POOL_MIN = new Setting<>( "parquet.native.pool.write.min", s -> derivePoolMinDefault(s, 2), @@ -200,10 +201,10 @@ private ParquetSettings() {} Setting.Property.Dynamic ); - /** Maximum bytes the native write pool can burst to. Default is 5% of node.native_memory.limit. */ + /** Maximum bytes the native write pool can burst to. Default is 3% of budget on warm nodes, 5% otherwise. */ public static final Setting WRITE_POOL_MAX = new Setting<>( "parquet.native.pool.write.max", - s -> derivePoolMaxDefault(s, 5), + s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 3 : 5), s -> { long v = Long.parseLong(s); if (v < 0) { From 0402802b9e2649996f707d0c25882a5dc17adf7c Mon Sep 17 00:00:00 2001 From: rayshrey <121871912+rayshrey@users.noreply.github.com> Date: Tue, 23 Jun 2026 20:07:15 +0530 Subject: [PATCH 33/94] Integrate rust side changes for memory pool (#22227) * Integrate rust side changes for memory pool, relies on native memory backpressure to reject excess work, allows infallible growth in the write path Signed-off-by: rayshrey --- .../arrow/allocator/ArrowBasePlugin.java | 8 +- .../arrow/allocator/ArrowBasePluginTests.java | 18 +- .../rust/common/src/memory_pool.rs | 63 ++++- .../common/tests/pool_backpressure_tests.rs | 216 ++++++++++++++++++ .../opensearch/parquet/ParquetSettings.java | 8 +- .../src/main/rust/src/ffm.rs | 12 + .../src/main/rust/src/memory.rs | 8 +- .../src/main/rust/src/merge/context.rs | 28 +++ .../src/main/rust/src/merge/cursor.rs | 94 ++++++-- .../src/main/rust/src/merge/mod.rs | 2 + .../src/main/rust/src/merge/sorted.rs | 40 +++- .../src/main/rust/src/merge/unsorted.rs | 39 +++- .../src/main/rust/src/writer.rs | 90 +++++--- .../common/settings/ClusterSettings.java | 1 + .../indices/IndexingMemoryController.java | 4 +- .../main/java/org/opensearch/node/Node.java | 25 +- .../AdmissionControlService.java | 12 +- .../NativeMemoryBasedAdmissionController.java | 82 ++++++- ...emoryBasedAdmissionControllerSettings.java | 26 +++ .../AdmissionControlServiceTests.java | 18 +- ...veMemoryBasedAdmissionControllerTests.java | 177 +++++++++++++- 21 files changed, 860 insertions(+), 111 deletions(-) create mode 100644 sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs diff --git a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java index b0fe6a5ee22b7..7b0cd3af59221 100644 --- a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java +++ b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java @@ -126,19 +126,19 @@ public ArrowBasePlugin() {} Setting.Property.Dynamic ); - /** Minimum guaranteed bytes for the ingest pool. Default is 2% of budget on warm nodes, 4% otherwise. */ + /** Minimum guaranteed bytes for the ingest pool. Default is 1% of budget on warm nodes, 2% otherwise. */ public static final Setting INGEST_MIN_SETTING = new Setting<>( NativeAllocatorPoolConfig.SETTING_INGEST_MIN, - s -> derivePoolMinDefault(s, DiscoveryNode.isWarmNode(s) ? 2 : 4), + s -> derivePoolMinDefault(s, DiscoveryNode.isWarmNode(s) ? 1 : 2), s -> parseNonNegativeLong(s, NativeAllocatorPoolConfig.SETTING_INGEST_MIN), Setting.Property.NodeScope, Setting.Property.Dynamic ); - /** Maximum bytes the ingest pool can burst to. Default is 4% of budget on warm nodes, 8% otherwise. */ + /** Maximum bytes the ingest pool can burst to. Default is 3% of budget on warm nodes, 5% otherwise. */ public static final Setting INGEST_MAX_SETTING = new Setting<>( NativeAllocatorPoolConfig.SETTING_INGEST_MAX, - s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 4 : 8), + s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 3 : 5), s -> parseNonNegativeLong(s, NativeAllocatorPoolConfig.SETTING_INGEST_MAX), Setting.Property.NodeScope, Setting.Property.Dynamic diff --git a/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java b/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java index 6bc5660171ab4..189cee5b33f39 100644 --- a/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java +++ b/plugins/arrow-base/src/test/java/org/opensearch/arrow/allocator/ArrowBasePluginTests.java @@ -32,9 +32,9 @@ public void testFlightAndIngestMinDerivedFromBudget() { // ingest uses the non-warm default. Settings s = Settings.builder().put("node.native_memory.limit", "1gb").build(); long budget = 1024L * 1024 * 1024; - // flight min = 2% of budget, ingest min = 4% of budget (non-warm) + // flight min = 2% of budget, ingest min = 2% of budget (non-warm) assertEquals(Long.valueOf(budget * 2 / 100), ArrowBasePlugin.FLIGHT_MIN_SETTING.get(s)); - assertEquals(Long.valueOf(budget * 4 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); + assertEquals(Long.valueOf(budget * 2 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); } public void testPoolMaxDefaultsAreLongMaxValueWhenAcUnset() { @@ -48,24 +48,24 @@ public void testPoolMaxDefaultsScaleFromAcBudget() { Settings s = Settings.builder().put("node.native_memory.limit", "10gb").build(); long limit = 10L * 1024 * 1024 * 1024; assertEquals(Long.valueOf(limit * 5 / 100), ArrowBasePlugin.FLIGHT_MAX_SETTING.get(s)); - // No warm role, so ingest uses the non-warm default (8%). - assertEquals(Long.valueOf(limit * 8 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); + // No warm role, so ingest uses the non-warm default (5%). + assertEquals(Long.valueOf(limit * 5 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); assertEquals(Long.valueOf(limit * 5 / 100), ArrowBasePlugin.QUERY_MAX_SETTING.get(s)); } public void testIngestPoolDefaultsAreReducedOnWarmNodes() { - // Warm nodes shrink the ingest pool (min 2%, max 4%) to free budget for the metadata cache. + // Warm nodes shrink the ingest pool (min 1%, max 3%) to free budget for the metadata cache. Settings s = Settings.builder().put("node.native_memory.limit", "10gb").putList("node.roles", "warm").build(); long limit = 10L * 1024 * 1024 * 1024; - assertEquals(Long.valueOf(limit * 2 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); - assertEquals(Long.valueOf(limit * 4 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); + assertEquals(Long.valueOf(limit * 1 / 100), ArrowBasePlugin.INGEST_MIN_SETTING.get(s)); + assertEquals(Long.valueOf(limit * 3 / 100), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); } public void testPoolMaxDefaultsIgnoreBufferPercent() { Settings s = Settings.builder().put("node.native_memory.limit", "1000b").put("node.native_memory.buffer_percent", 20).build(); assertEquals(Long.valueOf(50L), ArrowBasePlugin.FLIGHT_MAX_SETTING.get(s)); - // No warm role, so ingest uses the non-warm default (8% of 1000 = 80). - assertEquals(Long.valueOf(80L), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); + // No warm role, so ingest uses the non-warm default (5% of 1000 = 50). + assertEquals(Long.valueOf(50L), ArrowBasePlugin.INGEST_MAX_SETTING.get(s)); assertEquals(Long.valueOf(50L), ArrowBasePlugin.QUERY_MAX_SETTING.get(s)); } diff --git a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs index 7fc5c7c83a20c..ac587c6b91db5 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs @@ -26,13 +26,15 @@ pub const DEFAULT_WAIT_TIMEOUT: Duration = Duration::from_secs(300); /// Merge operations can wait longer (600 seconds). pub const MERGE_WAIT_TIMEOUT: Duration = Duration::from_secs(600); -/// Controls whether an allocation blocks or rejects immediately. +/// Controls how a reservation reacts when the pool is full. #[derive(Debug, Clone)] pub enum PoolBehavior { /// Block until memory is available, up to the given timeout. Wait(Duration), /// Fail immediately if pool is full. Reject, + /// Never block and never fail: account via infallible `grow`, allowing the pool to over-commit. + IgnoreLimit, } /// Error returned when a pool cannot satisfy an allocation request. @@ -253,6 +255,11 @@ impl MemoryReservation { self.size += bytes; Ok(()) } + PoolBehavior::IgnoreLimit => { + self.pool.grow(bytes); + self.size += bytes; + Ok(()) + } } } @@ -269,6 +276,28 @@ impl MemoryReservation { self.size -= actual; } + /// Reserve an estimated amount. Returns the estimated amount for later use with `reconcile()`. + pub fn reserve_estimated(&mut self, estimated: usize) -> Result> { + self.request(estimated)?; + Ok(estimated) + } + + /// Reconcile a previous estimate with the actual measured size. + /// If actual > estimated: infallible grow for the delta. + /// If actual < estimated: shrink the excess. + pub fn reconcile(&mut self, estimated: usize, actual: usize) { + if actual > estimated { + self.grow(actual - estimated); + } else if actual < estimated { + self.shrink(estimated - actual); + } + } + + /// Returns a reference to the underlying pool. + pub fn pool(&self) -> &Arc { + &self.pool + } + /// Release all memory back to the pool. pub fn free(&mut self) -> usize { let s = self.size; @@ -367,4 +396,36 @@ mod tests { assert_eq!(child.consumer(), "child"); assert_eq!(pool.used(), 100); } + + #[test] + fn test_ignore_limit_exceeds_limit() { + let pool = Arc::new(MemoryPool::new("test", 100)); + let mut res = MemoryReservation::new(&pool, "writer", PoolBehavior::IgnoreLimit); + // Request far beyond the limit — must succeed and over-commit. + assert!(res.request(500).is_ok()); + assert_eq!(res.size(), 500); + assert_eq!(pool.used(), 500); + assert!(pool.used() > pool.limit()); + } + + #[test] + fn test_ignore_limit_never_fails_when_already_over() { + let pool = Arc::new(MemoryPool::new("test", 100)); + let mut res = MemoryReservation::new(&pool, "writer", PoolBehavior::IgnoreLimit); + res.request(1000).unwrap(); + // Already over the limit; further requests still succeed immediately. + assert!(res.request(1000).is_ok()); + assert_eq!(pool.used(), 2000); + } + + #[test] + fn test_ignore_limit_drop_releases() { + let pool = Arc::new(MemoryPool::new("test", 100)); + { + let mut res = MemoryReservation::new(&pool, "writer", PoolBehavior::IgnoreLimit); + res.request(500).unwrap(); + assert_eq!(pool.used(), 500); + } + assert_eq!(pool.used(), 0); + } } diff --git a/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs b/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs new file mode 100644 index 0000000000000..76d9c05e03211 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs @@ -0,0 +1,216 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Tests for memory pool backpressure, timeout, and deadlock prevention. + +use std::sync::Arc; +use std::time::{Duration, Instant}; + +use native_bridge_common::memory_pool::{MemoryPool, MemoryReservation, PoolBehavior}; + +/// Request times out cleanly when pool is full. +#[test] +fn test_request_rejected_when_pool_full() { + let pool = Arc::new(MemoryPool::new("test", 1_000)); + let mut reservation = MemoryReservation::new( + &pool, + "requester", + PoolBehavior::Wait(Duration::from_secs(1)), + ); + + // Pre-fill pool to near capacity + reservation.grow(999); + assert_eq!(pool.used(), 999); + + // Request more than available — should timeout + let start = Instant::now(); + let result = reservation.request(500); + let elapsed = start.elapsed(); + + assert!(result.is_err(), "Expected timeout error"); + assert!( + elapsed >= Duration::from_millis(900), + "Should have waited ~1s, got {:?}", + elapsed + ); + assert!( + elapsed < Duration::from_millis(2_000), + "Should not hang, got {:?}", + elapsed + ); + // Pool unchanged — failed request didn't partially allocate + assert_eq!(pool.used(), 999); +} + +/// Request blocks and succeeds when another thread frees memory. +#[test] +fn test_request_waits_and_succeeds() { + let pool = Arc::new(MemoryPool::new("test", 10_000)); + + // Blocker fills pool + let mut blocker = MemoryReservation::new( + &pool, + "blocker", + PoolBehavior::Wait(Duration::from_secs(1)), + ); + blocker.grow(9_500); + assert_eq!(pool.used(), 9_500); + + // Thread frees after 500ms + let pool_clone = Arc::clone(&pool); + let handle = std::thread::spawn(move || { + std::thread::sleep(Duration::from_millis(500)); + pool_clone.shrink(9_500); + }); + + // Writer requests — should block then succeed after space is freed + let mut writer = MemoryReservation::new( + &pool, + "writer", + PoolBehavior::Wait(Duration::from_secs(5)), + ); + let start = Instant::now(); + let result = writer.request(5_000); + let elapsed = start.elapsed(); + + handle.join().unwrap(); + + assert!(result.is_ok(), "Expected success after blocker freed"); + assert!( + elapsed >= Duration::from_millis(400), + "Should have waited ~500ms, got {:?}", + elapsed + ); + assert!( + elapsed < Duration::from_millis(2_000), + "Should not wait too long, got {:?}", + elapsed + ); + // Writer holds its allocation + assert_eq!(writer.size(), 5_000); +} + +/// Request blocks for the full timeout duration then fails. +#[test] +fn test_request_waits_and_times_out() { + let pool = Arc::new(MemoryPool::new("test", 1_000)); + + let mut blocker = MemoryReservation::new( + &pool, + "blocker", + PoolBehavior::Wait(Duration::from_secs(1)), + ); + blocker.grow(999); + + let mut writer = MemoryReservation::new( + &pool, + "writer", + PoolBehavior::Wait(Duration::from_secs(2)), + ); + + let start = Instant::now(); + let result = writer.request(500); + let elapsed = start.elapsed(); + + assert!(result.is_err(), "Expected timeout"); + assert!( + elapsed >= Duration::from_secs(2), + "Should wait full timeout, got {:?}", + elapsed + ); + assert!( + elapsed < Duration::from_secs(3), + "Should not hang forever, got {:?}", + elapsed + ); + assert_eq!(pool.used(), 999); // blocker unchanged +} + +/// Two concurrent requesters on the same pool — one waits for the other, no deadlock. +#[test] +fn test_no_deadlock_two_requesters_same_pool() { + let pool = Arc::new(MemoryPool::new("test", 5_000)); + + let start = Instant::now(); + + std::thread::scope(|s| { + let p1 = Arc::clone(&pool); + let p2 = Arc::clone(&pool); + + // Thread 1: grabs 3000, holds for 500ms, releases + s.spawn(move || { + let mut r = MemoryReservation::new( + &p1, + "t1", + PoolBehavior::Wait(Duration::from_secs(10)), + ); + r.request(3_000).expect("t1 request should succeed"); + std::thread::sleep(Duration::from_millis(500)); + r.shrink(3_000); + }); + + // Thread 2: waits 100ms (ensure t1 gets in first), then requests 3000 + s.spawn(move || { + std::thread::sleep(Duration::from_millis(100)); + let mut r = MemoryReservation::new( + &p2, + "t2", + PoolBehavior::Wait(Duration::from_secs(10)), + ); + // This blocks until t1 releases (pool: 3000/5000, needs 3000 more = 6000 > 5000) + r.request(3_000).expect("t2 request should succeed after t1 releases"); + r.shrink(3_000); + }); + }); + + let elapsed = start.elapsed(); + + assert_eq!(pool.used(), 0, "Pool should be empty after both complete"); + assert!( + elapsed < Duration::from_secs(5), + "Should complete within 5s (no deadlock), got {:?}", + elapsed + ); +} + +/// Reservation that partially succeeded then failed on a subsequent request +/// frees all its memory when dropped. +#[test] +fn test_reservation_drop_frees_all_on_partial_failure() { + let pool = Arc::new(MemoryPool::new("test", 10_000)); + + { + let mut reservation = MemoryReservation::new( + &pool, + "res", + PoolBehavior::Wait(Duration::from_secs(1)), + ); + + // First allocation succeeds + let r1 = reservation.request(3_000); + assert!(r1.is_ok()); + assert_eq!(pool.used(), 3_000); + assert_eq!(reservation.size(), 3_000); + + // Infallible grow also succeeds + reservation.grow(2_000); + assert_eq!(pool.used(), 5_000); + assert_eq!(reservation.size(), 5_000); + + // Second request fails — needs 8000 more, total would be 13000 > 10000 + let r2 = reservation.request(8_000); + assert!(r2.is_err()); + assert_eq!(pool.used(), 5_000); // unchanged by failed request + assert_eq!(reservation.size(), 5_000); // unchanged + + // reservation drops here + } + + // After drop — all previously allocated memory is freed + assert_eq!(pool.used(), 0, "Drop should free all tracked memory"); +} diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java index 59ec98bd19d2f..3dcb1e29feb9b 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java @@ -186,10 +186,10 @@ private ParquetSettings() {} Setting.Property.Dynamic ); - /** Minimum guaranteed bytes for the native write pool. Default is 2% of budget. */ + /** Minimum guaranteed bytes for the native write pool. Default is 2% of budget on warm nodes, 4% otherwise. */ public static final Setting WRITE_POOL_MIN = new Setting<>( "parquet.native.pool.write.min", - s -> derivePoolMinDefault(s, 2), + s -> derivePoolMinDefault(s, DiscoveryNode.isWarmNode(s) ? 2 : 4), s -> { long v = Long.parseLong(s); if (v < 0) { @@ -201,10 +201,10 @@ private ParquetSettings() {} Setting.Property.Dynamic ); - /** Maximum bytes the native write pool can burst to. Default is 3% of budget on warm nodes, 5% otherwise. */ + /** Maximum bytes the native write pool can burst to. Default is 4% of budget on warm nodes, 8% otherwise. */ public static final Setting WRITE_POOL_MAX = new Setting<>( "parquet.native.pool.write.max", - s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 3 : 5), + s -> derivePoolMaxDefault(s, DiscoveryNode.isWarmNode(s) ? 4 : 8), s -> { long v = Long.parseLong(s); if (v < 0) { diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs index 63d671c9788b1..8d8ff9d9a9faa 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs @@ -154,6 +154,9 @@ pub unsafe extern "C" fn parquet_finalize_writer( if !sort_perm_ptr_out.is_null() && !sort_perm_len_out.is_null() { if let Some(perm) = result.row_id_mapping { let len = perm.len(); + let mapping_bytes = len * std::mem::size_of::(); + // Track mapping handoff to Java — Java holds until parquet_free_row_id_mapping + crate::memory::write_pool().grow(mapping_bytes); let boxed = perm.into_boxed_slice(); *sort_perm_len_out = len as i64; *sort_perm_ptr_out = Box::into_raw(boxed) as *mut i64 as i64; @@ -552,6 +555,9 @@ pub unsafe extern "C" fn parquet_merge_files( // Write row-ID mapping into out-pointers as heap-allocated arrays. // Java reads them and then calls parquet_free_merge_result to deallocate. let mapping = result.mapping.into_boxed_slice(); + let mapping_bytes = mapping.len() * std::mem::size_of::(); + // Track merge mapping handoff to Java — Java holds until parquet_free_merge_result + crate::memory::merge_pool().grow(mapping_bytes); *out_mapping_len = mapping.len() as i64; *out_mapping_ptr = Box::into_raw(mapping) as *mut i64 as i64; @@ -583,6 +589,9 @@ pub unsafe extern "C" fn parquet_free_merge_result( gen_count: i64, ) { if mapping_ptr != 0 && mapping_len > 0 { + let mapping_bytes = mapping_len as usize * std::mem::size_of::(); + // Java released merge mapping — free from pool + crate::memory::merge_pool().shrink(mapping_bytes); let _ = Box::from_raw(slice::from_raw_parts_mut(mapping_ptr as *mut i64, mapping_len as usize)); } let n = gen_count as usize; @@ -689,6 +698,9 @@ pub unsafe extern "C" fn parquet_free_row_id_mapping( mapping_len: i64, ) { if mapping_ptr != 0 && mapping_len > 0 { + let mapping_bytes = mapping_len as usize * std::mem::size_of::(); + // Java released write mapping — free from pool + crate::memory::write_pool().shrink(mapping_bytes); let _ = Box::from_raw(slice::from_raw_parts_mut(mapping_ptr as *mut i64, mapping_len as usize)); } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/memory.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/memory.rs index d88ee47f8e831..5132adbef8652 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/memory.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/memory.rs @@ -21,14 +21,14 @@ pub fn init_pools(write_limit: usize, merge_limit: usize) { MERGE_POOL.get_or_init(|| Arc::new(MemoryPool::new("merge", merge_limit))); } -/// Returns the write pool, or panics if not initialized. +/// Returns the write pool, initializing with a large default if not yet set. pub fn write_pool() -> &'static Arc { - WRITE_POOL.get().expect("write pool not initialized") + WRITE_POOL.get_or_init(|| Arc::new(MemoryPool::new("write", usize::MAX))) } -/// Returns the merge pool, or panics if not initialized. +/// Returns the merge pool, initializing with a large default if not yet set. pub fn merge_pool() -> &'static Arc { - MERGE_POOL.get().expect("merge pool not initialized") + MERGE_POOL.get_or_init(|| Arc::new(MemoryPool::new("merge", usize::MAX))) } pub fn set_write_limit(v: usize) { diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs index 1715678f340c3..2a735c40b9b2d 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs @@ -23,6 +23,8 @@ use crate::rate_limited_writer::RateLimitedWriter; use crate::writer_properties_builder::WriterPropertiesBuilder; use crate::{log_debug, log_error, SETTINGS_STORE}; +use native_bridge_common::memory_pool::MemoryReservation; + use super::error::{MergeError, MergeResult}; use super::io_task::{ get_merge_pool, spawn_io_task, IoCommand, RATE_LIMIT_MB_PER_SEC, @@ -48,6 +50,8 @@ pub struct MergeContext { // Java side (see NativeParquetMergeStrategy + ParquetShardStatsTracker). flush_and_sort_chunk_count: i64, flush_and_sort_chunk_time_millis: i64, + reservation: MemoryReservation, + tracked_writer_bytes: usize, } impl MergeContext { @@ -62,6 +66,7 @@ impl MergeContext { rayon_threads: Option, io_threads: Option, output_writer_generation: i64, + reservation: MemoryReservation, ) -> MergeResult { if let Some(parent) = Path::new(output_path).parent() { if !parent.exists() { @@ -128,6 +133,8 @@ impl MergeContext { rayon_threads, flush_and_sort_chunk_count: 0, flush_and_sort_chunk_time_millis: 0, + reservation, + tracked_writer_bytes: 0, }) } @@ -142,8 +149,12 @@ impl MergeContext { pub fn push_batch(&mut self, batch: RecordBatch) -> MergeResult<()> { let num_rows = batch.num_rows(); let with_id = append_row_id(&batch, self.next_row_id, &self.output_schema)?; + let with_id_bytes = with_id.get_array_memory_size(); drop(batch); + // Track with_id batch (transient — alive during column write) + self.reservation.grow(with_id_bytes); + let col_writers = self.col_writers.as_mut() .ok_or_else(|| MergeError::Logic("Column writers not initialized".into()))?; @@ -165,9 +176,22 @@ impl MergeContext { if let Some(e) = write_errors.into_iter().next() { log_error!("[RUST] Column write failed during push_batch: {}", e); + self.reservation.shrink(with_id_bytes); return Err(e.into()); } + // with_id dropped here — release its tracking + self.reservation.shrink(with_id_bytes); + + // Track actual column writer memory using memory_size() API + let actual_writer_bytes: usize = col_writers.iter().map(|w| w.memory_size()).sum(); + if actual_writer_bytes > self.tracked_writer_bytes { + self.reservation.grow(actual_writer_bytes - self.tracked_writer_bytes); + } else if actual_writer_bytes < self.tracked_writer_bytes { + self.reservation.shrink(self.tracked_writer_bytes - actual_writer_bytes); + } + self.tracked_writer_bytes = actual_writer_bytes; + self.next_row_id += num_rows as i64; self.output_row_count += num_rows; self.total_rows_written += num_rows; @@ -229,6 +253,10 @@ impl MergeContext { self.row_group_index += 1; self.output_row_count = 0; + // Column writers closed via close() — release tracked writer memory + self.reservation.shrink(self.tracked_writer_bytes); + self.tracked_writer_bytes = 0; + // Open writers for the next row group. self.col_writers = Some( self.rg_writer_factory.create_column_writers(self.row_group_index)? diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs index 97c5fa3e05930..ddcc558b6ebc6 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs @@ -19,6 +19,8 @@ use super::heap::{get_sort_values, SortKey}; use super::io_task::get_merge_pool; use super::schema::projection_indices_excluding_row_id; +use native_bridge_common::memory_pool::MemoryReservation; + /// A cursor over a single sorted Parquet input file. /// /// When deferred mode is active (controlled by the dynamic index setting @@ -43,6 +45,8 @@ pub struct FileCursor { pub sort_col_indices: Vec, pub sort_col_types: Vec, pub nulls_first: Vec, + current_sort_batch_bytes: usize, + current_data_batch_bytes: usize, } impl FileCursor { @@ -53,6 +57,7 @@ impl FileCursor { nulls_first: &[bool], batch_size: usize, deferred_threshold: usize, + reservation: &mut MemoryReservation, ) -> MergeResult<(Self, Arc, SchemaDescriptor, i64, usize)> { // Open file and read metadata let file = File::open(path)?; @@ -159,7 +164,15 @@ impl FileCursor { sort_col_indices, sort_col_types, nulls_first: nulls_first.to_vec(), + current_sort_batch_bytes: 0, + current_data_batch_bytes: 0, }; + + // Track sort batch + prefetch (estimate 2x first batch) + let batch_bytes = cursor.sort_batch.as_ref().unwrap().get_array_memory_size(); + reservation.grow(batch_bytes * 2); + cursor.current_sort_batch_bytes = batch_bytes; + cursor.start_sort_prefetch(); Ok((cursor, projected_schema, parquet_schema_descr, writer_generation, total_row_count)) } @@ -182,60 +195,89 @@ impl FileCursor { }); } - pub fn load_next_batch(&mut self) -> MergeResult { + pub fn load_next_batch(&mut self, reservation: &mut MemoryReservation) -> MergeResult { + let old_sort_bytes = self.current_sort_batch_bytes; self.sort_batch = None; + + // Release data batch tracking — previous data_batch is dropped + if self.current_data_batch_bytes > 0 { + reservation.shrink(self.current_data_batch_bytes); + self.current_data_batch_bytes = 0; + } self.data_batch = None; let sort_result = match self.sort_prefetch_rx.recv() { Ok(Some(Ok(batch))) => Some(batch), - Ok(Some(Err(e))) => { self.sort_prefetch_pending = false; return Err(e); } + Ok(Some(Err(e))) => { + self.sort_prefetch_pending = false; + // Error: release sort batch tracking since cursor is now exhausted + reservation.shrink(old_sort_bytes); + self.current_sort_batch_bytes = 0; + return Err(e); + } Ok(None) | Err(_) => None, }; self.sort_prefetch_pending = false; match sort_result { Some(batch) => { + let new_bytes = batch.get_array_memory_size(); self.sort_batch = Some(batch); self.row_idx = 0; self.sort_batch_index += 1; self.start_sort_prefetch(); + // Delta-adjust: new sort batch may differ in size from previous + if new_bytes > old_sort_bytes { + reservation.grow(new_bytes - old_sort_bytes); + } else if new_bytes < old_sort_bytes { + reservation.shrink(old_sort_bytes - new_bytes); + } + self.current_sort_batch_bytes = new_bytes; Ok(true) } None => { - self.data_reader = None; // Release file descriptor + // Cursor exhausted — release all sort batch tracking + self.data_reader = None; + reservation.shrink(old_sort_bytes); + self.current_sort_batch_bytes = 0; Ok(false) } } } - fn ensure_data_loaded(&mut self) -> MergeResult<()> { + fn ensure_data_loaded(&mut self, reservation: &mut MemoryReservation) -> MergeResult<()> { if !self.deferred { return Ok(()); } - // data_batch_index tracks "next batch to read" — after successfully loading - // sort_batch_index, it equals sort_batch_index + 1. if self.data_batch.is_some() && self.data_batch_index == self.sort_batch_index + 1 { return Ok(()); } - match self.try_load_data() { + match self.try_load_data(reservation) { Ok(()) => Ok(()), Err(e) => { - // Close the data reader on failure — the cursor is irrecoverable since - // the reader's internal position is unknown after a partial advance. + // Error path: close reader and release any data_batch memory self.data_reader = None; + if self.current_data_batch_bytes > 0 { + reservation.shrink(self.current_data_batch_bytes); + self.current_data_batch_bytes = 0; + } Err(e) } } } - fn try_load_data(&mut self) -> MergeResult<()> { + fn try_load_data(&mut self, reservation: &mut MemoryReservation) -> MergeResult<()> { let reader = self.data_reader.as_mut() .ok_or_else(|| MergeError::Logic("Data reader already closed".into()))?; - // Read batches from data reader until we have the one at sort_batch_index. - // data_batch_index tracks how many batches have been consumed from the reader - // (i.e., the next call to reader.next() will return batch number data_batch_index). + // Release previous data_batch — about to load a new one + if self.current_data_batch_bytes > 0 { + reservation.shrink(self.current_data_batch_bytes); + self.current_data_batch_bytes = 0; + } + self.data_batch = None; + while self.data_batch_index <= self.sort_batch_index { match reader.next() { Some(Ok(batch)) => { @@ -255,6 +297,10 @@ impl FileCursor { ))); } } + let data_bytes = batch.get_array_memory_size(); + // Track full-column data batch — already allocated by data_reader.next() + reservation.grow(data_bytes); + self.current_data_batch_bytes = data_bytes; self.data_batch = Some(batch); } // Skipped batch — discard @@ -290,9 +336,9 @@ impl FileCursor { } #[inline] - pub fn take_slice(&mut self, start: usize, len: usize) -> MergeResult { + pub fn take_slice(&mut self, start: usize, len: usize, reservation: &mut MemoryReservation) -> MergeResult { if self.deferred { - self.ensure_data_loaded()?; + self.ensure_data_loaded(reservation)?; let batch = self.data_batch.as_ref() .ok_or_else(|| MergeError::Logic("Data batch not loaded".into()))?; Ok(batch.slice(start, len)) @@ -303,7 +349,7 @@ impl FileCursor { } } - pub fn advance(&mut self) -> MergeResult { + pub fn advance(&mut self, reservation: &mut MemoryReservation) -> MergeResult { if self.sort_batch.is_none() { return Ok(false); } @@ -311,14 +357,24 @@ impl FileCursor { if self.row_idx >= self.sort_batch.as_ref().unwrap().num_rows() { self.sort_batch = None; self.data_batch = None; - return self.load_next_batch(); + // Batch boundary crossed — release data_batch before loading next sort batch + if self.current_data_batch_bytes > 0 { + reservation.shrink(self.current_data_batch_bytes); + self.current_data_batch_bytes = 0; + } + return self.load_next_batch(reservation); } Ok(true) } - pub fn advance_past_batch(&mut self) -> MergeResult { + pub fn advance_past_batch(&mut self, reservation: &mut MemoryReservation) -> MergeResult { self.sort_batch = None; self.data_batch = None; - self.load_next_batch() + // Skip remaining rows — release data_batch before loading next sort batch + if self.current_data_batch_bytes > 0 { + reservation.shrink(self.current_data_batch_bytes); + self.current_data_batch_bytes = 0; + } + self.load_next_batch(reservation) } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/mod.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/mod.rs index 09d6d90a8d844..545337729e297 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/mod.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/mod.rs @@ -18,7 +18,9 @@ mod unsorted; pub use error::{MergeError, MergeResult}; pub use sorted::merge_sorted; +pub use sorted::merge_sorted_with_pool; pub use unsorted::merge_unsorted; +pub use unsorted::merge_unsorted_with_pool; /// Output of a merge operation. Carries both the row-ID mapping (for remapping /// secondary-format row IDs post-merge) and the Parquet file metadata + CRC32 diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs index 109fd3374ee66..fb9728aac566c 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs @@ -21,6 +21,9 @@ use super::heap::{cmp_sort_values, get_sort_values, HeapItem}; use super::io_task::get_merge_pool; use super::schema::ColumnMapping; +use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; +use crate::memory::merge_pool; + /// Performs a streaming k-way merge with an explicit sort direction per column. pub fn merge_sorted( input_files: &[String], @@ -30,6 +33,21 @@ pub fn merge_sorted( reverse_sorts: &[bool], nulls_first: &[bool], output_writer_generation: i64, +) -> super::MergeResult { + let mut reservation = MemoryReservation::new(merge_pool(), "merge_sorted", PoolBehavior::Reject); + merge_sorted_with_pool(input_files, output_path, index_name, sort_columns, reverse_sorts, nulls_first, output_writer_generation, &mut reservation) +} + +/// Performs a streaming k-way merge using the provided memory reservation. +pub fn merge_sorted_with_pool( + input_files: &[String], + output_path: &str, + index_name: &str, + sort_columns: &[String], + reverse_sorts: &[bool], + nulls_first: &[bool], + output_writer_generation: i64, + reservation: &mut MemoryReservation, ) -> super::MergeResult { let config = crate::writer::SETTINGS_STORE .get(index_name) @@ -83,7 +101,7 @@ pub fn merge_sorted( for (file_id, path) in input_files.iter().enumerate() { log_debug!("[RUST] Opening cursor {} for file: {}", file_id, path); let (cursor, projected_schema, parquet_descr, generation, row_count) = - FileCursor::new(path, file_id, sort_columns, nulls_first, batch_size, deferred_threshold)?; + FileCursor::new(path, file_id, sort_columns, nulls_first, batch_size, deferred_threshold, reservation)?; cursors.push(cursor); arrow_schemas.push(projected_schema.as_ref().clone()); parquet_descriptors.push(parquet_descr); @@ -94,6 +112,7 @@ pub fn merge_sorted( let num_cursors = cursors.len(); // ── Phase 2: Create MergeContext (union schemas, writer, IO task) ─── + let ctx_reservation = reservation.child("merge:flush"); let mut ctx = MergeContext::new( arrow_schemas.clone(), &parquet_descriptors, @@ -103,6 +122,7 @@ pub fn merge_sorted( rayon_threads, io_threads, output_writer_generation, + ctx_reservation, )?; // Precompute column mappings per cursor (avoids per-batch name lookups) @@ -113,6 +133,9 @@ pub fn merge_sorted( // Row-ID mapping: pre-allocate the flat mapping array and compute offsets // from file metadata row counts (known before reading any data). let total_rows: usize = file_row_counts.iter().sum(); + let mapping_bytes = total_rows * std::mem::size_of::(); + // Reserve for row-ID mapping Vec — total_rows × 8 bytes, allocated next line + reservation.request(mapping_bytes).map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; let mut mapping: Vec = vec![0i64; total_rows]; let mut gen_keys: Vec = Vec::with_capacity(num_cursors); let mut gen_offsets: Vec = Vec::with_capacity(num_cursors); @@ -161,7 +184,7 @@ pub fn merge_sorted( loop { let remaining = cursor.batch_height() - cursor.row_idx; if remaining > 0 { - let slice = cursor.take_slice(cursor.row_idx, remaining)?; + let slice = cursor.take_slice(cursor.row_idx, remaining, reservation)?; for _ in 0..remaining { mapping[file_offset + rows_emitted_per_file[file_id]] = new_row_id; rows_emitted_per_file[file_id] += 1; @@ -169,7 +192,7 @@ pub fn merge_sorted( } ctx.push_batch(col_mapping.pad_batch(&slice)?)?; } - if !cursor.advance_past_batch()? { + if !cursor.advance_past_batch(reservation)? { break; } } @@ -188,7 +211,7 @@ pub fn merge_sorted( let last_val = cursor.last_sort_values()?; if cmp_sort_values(&last_val, heap_top, reverse_sorts) != Ordering::Greater { let remaining = cursor.batch_height() - cursor.row_idx; - let slice = cursor.take_slice(cursor.row_idx, remaining)?; + let slice = cursor.take_slice(cursor.row_idx, remaining, reservation)?; for _ in 0..remaining { mapping[file_offset + rows_emitted_per_file[file_id]] = new_row_id; rows_emitted_per_file[file_id] += 1; @@ -196,7 +219,7 @@ pub fn merge_sorted( } ctx.push_batch(col_mapping.pad_batch(&slice)?)?; - if !cursor.advance_past_batch()? { + if !cursor.advance_past_batch(reservation)? { break; } // Check if cursor should yield after loading new batch @@ -240,7 +263,7 @@ pub fn merge_sorted( let run_len = run_end - run_start + 1; if run_len > 0 { - let slice = cursor.take_slice(run_start, run_len)?; + let slice = cursor.take_slice(run_start, run_len, reservation)?; for _ in 0..run_len { mapping[file_offset + rows_emitted_per_file[file_id]] = new_row_id; rows_emitted_per_file[file_id] += 1; @@ -250,7 +273,7 @@ pub fn merge_sorted( } cursor.row_idx = run_end; - if !cursor.advance()? { + if !cursor.advance(reservation)? { break; } @@ -278,6 +301,9 @@ pub fn merge_sorted( stats.crc32 ); + // Detach mapping from reservation — FFI layer will track via merge_pool().grow + reservation.shrink(mapping_bytes); + Ok(super::MergeOutput { mapping, gen_keys, diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs index 8ce8059ceb65f..223ea552e3a39 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs @@ -19,6 +19,9 @@ use super::context::MergeContext; use super::error::MergeResult; use super::schema::{projection_indices_excluding_row_id, ColumnMapping}; +use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; +use crate::memory::merge_pool; + /// Unsorted merge: reads each input file sequentially, pads to union schema, /// rewrites `__row_id__` with globally sequential values. No sorting performed. pub fn merge_unsorted( @@ -26,6 +29,18 @@ pub fn merge_unsorted( output_path: &str, index_name: &str, output_writer_generation: i64, +) -> MergeResult { + let mut reservation = MemoryReservation::new(merge_pool(), "merge_unsorted", PoolBehavior::Reject); + merge_unsorted_with_pool(input_files, output_path, index_name, output_writer_generation, &mut reservation) +} + +/// Unsorted merge with an explicit memory reservation. +pub fn merge_unsorted_with_pool( + input_files: &[String], + output_path: &str, + index_name: &str, + output_writer_generation: i64, + reservation: &mut MemoryReservation, ) -> MergeResult { let config = crate::writer::SETTINGS_STORE .get(index_name) @@ -68,6 +83,7 @@ pub fn merge_unsorted( file_generations.push(generation); } + let ctx_reservation = reservation.child("merge:flush"); let mut ctx = MergeContext::new( arrow_schemas.clone(), &parquet_descriptors, @@ -77,6 +93,7 @@ pub fn merge_unsorted( rayon_threads, io_threads, output_writer_generation, + ctx_reservation, )?; // Precompute column mappings per reader @@ -87,6 +104,8 @@ pub fn merge_unsorted( // Build row-ID mapping: for unsorted merge, files are concatenated sequentially. // old_row_id maps directly to new_row_id with a per-file offset. let total_rows: usize = file_row_counts.iter().sum(); + let mapping_bytes = total_rows * std::mem::size_of::(); + reservation.request(mapping_bytes).map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; let mut mapping: Vec = vec![0i64; total_rows]; let mut gen_keys: Vec = Vec::with_capacity(input_files.len()); let mut gen_offsets: Vec = Vec::with_capacity(input_files.len()); @@ -108,10 +127,23 @@ pub fn merge_unsorted( let file_start_row_id = new_row_id; let col_mapping = &col_mappings[file_idx]; + let mut batch_tracked: usize = 0; for batch_result in reader { let batch = batch_result?; let num_rows = batch.num_rows(); - // Record mapping: each row in this batch gets the next sequential new_row_id + let batch_bytes = batch.get_array_memory_size(); + // Track reader batch memory: grow on first batch, delta-adjust on subsequent + if batch_tracked == 0 { + reservation.grow(batch_bytes); + batch_tracked = batch_bytes; + } else if batch_bytes != batch_tracked { + if batch_bytes > batch_tracked { + reservation.grow(batch_bytes - batch_tracked); + } else { + reservation.shrink(batch_tracked - batch_bytes); + } + batch_tracked = batch_bytes; + } for _ in 0..num_rows { mapping[mapping_offset] = new_row_id; mapping_offset += 1; @@ -119,6 +151,8 @@ pub fn merge_unsorted( } ctx.push_batch(col_mapping.pad_batch(&batch)?)?; } + // File done — release batch memory (reader dropped, batch no longer alive) + reservation.shrink(batch_tracked); let file_rows = (new_row_id - file_start_row_id) as i32; gen_sizes.push(file_rows); @@ -134,6 +168,9 @@ pub fn merge_unsorted( stats.crc32 ); + // Detach mapping from reservation — FFI layer will track via merge_pool().grow + reservation.shrink(mapping_bytes); + Ok(super::MergeOutput { mapping, gen_keys, diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs index 3bce35f286f5d..295a90dce146f 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs @@ -22,9 +22,11 @@ use std::sync::{Arc, Mutex}; use crate::{log_error, log_debug, log_info}; use crate::crc_writer::CrcWriter; -use crate::merge::{merge_sorted, schema::ROW_ID_COLUMN_NAME}; +use crate::memory::write_pool; +use crate::merge::{merge_sorted_with_pool, schema::ROW_ID_COLUMN_NAME}; use crate::native_settings::NativeSettings; use crate::writer_properties_builder::WriterPropertiesBuilder; +use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; /// Result from finalizing a writer: Parquet metadata + whole-file CRC32 + optional sort permutation. #[derive(Debug)] @@ -148,7 +150,7 @@ impl SortingChunkedWriter { Ok(()) } - fn write(&mut self, batch: &RecordBatch) -> Result<(), Box> { + fn write(&mut self, batch: &RecordBatch, reservation: &mut MemoryReservation) -> Result<(), Box> { if self.current_ipc_writer.is_none() { return Ok(()); } @@ -162,7 +164,7 @@ impl SortingChunkedWriter { if self.current_chunk_bytes > 0 && self.current_chunk_bytes + incoming_batch_bytes > self.memory_threshold_bytes { - self.flush_and_sort_chunk()?; + self.flush_and_sort_chunk(reservation)?; } // If the batch itself fits within the threshold, write it directly. @@ -200,21 +202,21 @@ impl SortingChunkedWriter { // Flush after each slice that fills the budget. if self.current_chunk_bytes >= self.memory_threshold_bytes { - self.flush_and_sort_chunk()?; + self.flush_and_sort_chunk(reservation)?; } } } // Safety net: flush if we ended up at or above the threshold. if self.current_chunk_bytes >= self.memory_threshold_bytes { - self.flush_and_sort_chunk()?; + self.flush_and_sort_chunk(reservation)?; } Ok(()) } /// Close the current IPC file, read it back, sort, write as sorted Parquet chunk. - fn flush_and_sort_chunk(&mut self) -> Result<(), Box> { + fn flush_and_sort_chunk(&mut self, reservation: &mut MemoryReservation) -> Result<(), Box> { use arrow::array::Int64Array; log_debug!( @@ -222,6 +224,10 @@ impl SortingChunkedWriter { self.chunk_idx, self.current_chunk_bytes, self.current_rows, self.memory_size() ); + // Reserve memory for sort (read-back + sorted copy coexist = 2× chunk) + let sort_reserve = self.current_chunk_bytes as usize * 2; + reservation.request(sort_reserve)?; + // Close the IPC writer if let Some(mut writer) = self.current_ipc_writer.take() { writer.finish()?; @@ -242,6 +248,7 @@ impl SortingChunkedWriter { if batches.is_empty() { // Nothing to sort, just reopen + reservation.shrink(sort_reserve); let _ = std::fs::remove_file(&ipc_path); self.open_new_ipc()?; return Ok(()); @@ -288,6 +295,13 @@ impl SortingChunkedWriter { self.chunk_crcs.push(crc32); self.chunk_idx += 1; + // Release sort memory + // Release sort working memory (read-back + sorted copy no longer alive) + reservation.shrink(sort_reserve); + // Track accumulated row_ids for this chunk — Vec per chunk persists until finish() + let row_ids_bytes = self.current_rows * std::mem::size_of::(); + reservation.grow(row_ids_bytes); + // Delete the IPC staging file and open a fresh one let _ = std::fs::remove_file(&ipc_path); self.open_new_ipc()?; @@ -295,9 +309,9 @@ impl SortingChunkedWriter { } /// Finalize: flush remaining IPC data (sort + write) and return chunk paths + row IDs + CRCs. - fn finish(mut self) -> Result<(Vec, Vec>, Vec), Box> { + fn finish(mut self, reservation: &mut MemoryReservation) -> Result<(Vec, Vec>, Vec), Box> { if self.current_rows > 0 { - self.flush_and_sort_chunk()?; + self.flush_and_sort_chunk(reservation)?; } // Close and remove the trailing IPC staging file if let Some(mut writer) = self.current_ipc_writer.take() { @@ -335,6 +349,7 @@ struct WriterState { settings: NativeSettings, crc_handle: Option, writer_generation: i64, + reservation: MemoryReservation, } /// Path suffix for the intermediate Arrow IPC file used during sort-on-close. @@ -437,6 +452,7 @@ impl NativeParquetWriter { settings, crc_handle, writer_generation, + reservation: MemoryReservation::new(write_pool(), "parquet_writer", PoolBehavior::IgnoreLimit), }); Ok(()) @@ -462,17 +478,29 @@ impl NativeParquetWriter { let record_batch = RecordBatch::try_new(schema, struct_array.columns().to_vec())?; log_debug!("Created RecordBatch with {} rows and {} columns", record_batch.num_rows(), record_batch.num_columns()); - if let Some(state) = WRITERS.get_mut(&temp_filename) { + if let Some(mut state) = WRITERS.get_mut(&temp_filename) { match &state.variant { WriterVariant::Ipc(writer_arc) => { log_debug!("Writing RecordBatch to IPC staging file"); + let writer_arc = writer_arc.clone(); let mut writer = writer_arc.lock().unwrap(); - writer.write(&record_batch)?; + writer.write(&record_batch, &mut state.reservation)?; } WriterVariant::Parquet(writer_arc) => { log_debug!("Writing RecordBatch to Parquet file"); + let batch_bytes = record_batch.get_array_memory_size(); + // Reserve 3× batch as estimate — ArrowWriter encoding may temporarily + // hold dictionary, compressed pages, and data page buffers. + let estimated = batch_bytes * 3; + let writer_arc = writer_arc.clone(); + state.reservation.reserve_estimated(estimated)?; let mut writer = writer_arc.lock().unwrap(); + let before = writer.memory_size(); writer.write(&record_batch)?; + // Reconcile: adjust reservation to actual delta reported by ArrowWriter + let actual = writer.memory_size().saturating_sub(before); + drop(writer); + state.reservation.reconcile(estimated, actual); } } Ok(()) @@ -492,7 +520,7 @@ impl NativeParquetWriter { log_debug!("finalize_writer called for file: {} (temp: {})", filename, temp_filename); if let Some((_, state)) = WRITERS.remove(&temp_filename) { - let WriterState { variant, settings, crc_handle, writer_generation } = state; + let WriterState { variant, settings, crc_handle, writer_generation, mut reservation } = state; let index_name = settings.index_name.as_deref().unwrap_or(""); match variant { @@ -502,7 +530,7 @@ impl NativeParquetWriter { let chunked_writer = mutex.into_inner().unwrap(); let total_rows = chunked_writer.total_rows(); let schema = chunked_writer.schema.clone(); - let (chunk_paths, chunk_row_ids, chunk_crcs) = chunked_writer.finish()?; + let (chunk_paths, chunk_row_ids, chunk_crcs) = chunked_writer.finish(&mut reservation)?; log_info!( "Successfully closed sorting chunked writer for: {}, total_rows={}, chunks={}", temp_filename, total_rows, chunk_paths.len() @@ -511,7 +539,7 @@ impl NativeParquetWriter { let (crc32, row_id_mapping) = Self::finalize_sorted_chunks( &chunk_paths, &chunk_row_ids, &chunk_crcs, &filename, index_name, &settings.sort_columns, &settings.reverse_sorts, &settings.nulls_first, - writer_generation, schema.clone(), + writer_generation, schema.clone(), &mut reservation, )?; // Clean up sorted chunk files only after successful finalization. @@ -526,6 +554,12 @@ impl NativeParquetWriter { let reader = SerializedFileReader::new(file)?; let parquet_metadata = reader.metadata().clone(); + // Detach mapping from reservation before handing to FFI/Java. + // FFI layer will track it via write_pool().grow/shrink. + if let Some(ref mapping) = row_id_mapping { + reservation.shrink(mapping.len() * std::mem::size_of::()); + } + Ok(Some(FinalizeResult { metadata: parquet_metadata, crc32, row_id_mapping })) } Err(_) => { @@ -587,6 +621,7 @@ impl NativeParquetWriter { nulls_first: &[bool], writer_generation: i64, schema: Arc, + reservation: &mut MemoryReservation, ) -> Result<(u32, Option>), Box> { if chunk_paths.is_empty() { log_info!("finalize_sorted_chunks: no chunks, writing empty Parquet file"); @@ -614,6 +649,9 @@ impl NativeParquetWriter { let row_id_mapping = if !chunk_row_ids.is_empty() && !chunk_row_ids[0].is_empty() { let ids = &chunk_row_ids[0]; let total = ids.len(); + let mapping_bytes = total * std::mem::size_of::(); + // Reserve for permutation Vec before allocating + reservation.request(mapping_bytes)?; let mut mapping = vec![0i64; total]; for (new_pos, &old_row_id) in ids.iter().enumerate() { let orig_idx = old_row_id as usize; @@ -636,7 +674,8 @@ impl NativeParquetWriter { chunk_paths.len(), output_filename ); - let merge_output = merge_sorted( + let mut merge_reservation = MemoryReservation::new(write_pool(), "writer:k_way_merge", PoolBehavior::IgnoreLimit); + let merge_output = merge_sorted_with_pool( chunk_paths, output_filename, index_name, @@ -644,6 +683,7 @@ impl NativeParquetWriter { reverse_sorts, nulls_first, writer_generation, + &mut merge_reservation, ) .map_err(|e| -> Box { format!("Streaming merge failed: {}", e).into() @@ -655,8 +695,12 @@ impl NativeParquetWriter { ); // Build the flat permutation: result[original_row_id] = new_row_id + let crc32 = merge_output.crc32; let row_id_mapping = if !merge_output.mapping.is_empty() && !chunk_row_ids.is_empty() { let total = merge_output.mapping.len(); + let mapping_bytes = total * std::mem::size_of::(); + // Reserve 2× mapping: merge_output.mapping (alive) + flat_mapping (about to allocate) + reservation.request(mapping_bytes * 2)?; let mut flat_mapping = vec![0i64; total]; for i in 0..total { flat_mapping[i] = i as i64; @@ -671,6 +715,9 @@ impl NativeParquetWriter { pos += 1; } } + drop(merge_output); + // merge_output.mapping freed — release its share, flat_mapping remains tracked + reservation.shrink(mapping_bytes); log_info!("finalize_sorted_chunks: produced {} permutation entries for {}", flat_mapping.len(), output_filename); Some(flat_mapping) } else { @@ -681,7 +728,7 @@ impl NativeParquetWriter { "finalize_sorted_chunks: DONE file={}, chunks={}, merge_duration={:?}", output_filename, chunk_paths.len(), merge_duration ); - Ok((merge_output.crc32, row_id_mapping)) + Ok((crc32, row_id_mapping)) } /// Sort a batch using RowConverter: converts sort columns into compact @@ -760,18 +807,7 @@ impl NativeParquetWriter { let mut total_memory = 0; for entry in WRITERS.iter() { if entry.key().starts_with(&path_prefix) { - match &entry.value().variant { - WriterVariant::Parquet(writer_arc) => { - if let Ok(writer) = writer_arc.lock() { - total_memory += writer.memory_size(); - } - } - WriterVariant::Ipc(writer_arc) => { - if let Ok(writer) = writer_arc.lock() { - total_memory += writer.memory_size(); - } - } - } + total_memory += entry.value().reservation.size(); } } Ok(total_memory) diff --git a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java index 28b25c5e8a253..2341971e388a3 100644 --- a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java +++ b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java @@ -838,6 +838,7 @@ public void apply(Settings value, Settings current, Settings previous) { NativeMemoryBasedAdmissionControllerSettings.SEARCH_NATIVE_MEMORY_USAGE_LIMIT, NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_USAGE_LIMIT, NativeMemoryBasedAdmissionControllerSettings.CLUSTER_ADMIN_NATIVE_MEMORY_USAGE_LIMIT, + NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT, // Concurrent segment search settings SearchService.CLUSTER_CONCURRENT_SEGMENT_SEARCH_SETTING, // deprecated diff --git a/server/src/main/java/org/opensearch/indices/IndexingMemoryController.java b/server/src/main/java/org/opensearch/indices/IndexingMemoryController.java index 84854a16ec58c..2b2d72099cfa7 100644 --- a/server/src/main/java/org/opensearch/indices/IndexingMemoryController.java +++ b/server/src/main/java/org/opensearch/indices/IndexingMemoryController.java @@ -115,10 +115,10 @@ public class IndexingMemoryController implements IndexingOperationListener, Clos /** How much native (off-heap) memory we allow for indexing buffers across all shards. * Accepts either a percentage (of available native memory = total physical - JVM heap) or an absolute byte value. - * Default is 10%. */ + * Default is 7%. */ public static final Setting NATIVE_INDEX_BUFFER_SIZE_SETTING = Setting.nativeMemorySizeSetting( "indices.memory.native_index_buffer_size", - "10%", + "7%", Property.NodeScope ); diff --git a/server/src/main/java/org/opensearch/node/Node.java b/server/src/main/java/org/opensearch/node/Node.java index 3af6070c628c1..9356c30644f66 100644 --- a/server/src/main/java/org/opensearch/node/Node.java +++ b/server/src/main/java/org/opensearch/node/Node.java @@ -1353,6 +1353,18 @@ protected Node(final Environment initialEnvironment, Collection clas final RestController restController = actionModule.getRestController(); + // Discover the native-allocator stats supplier from any plugin that publishes a + // NativeAllocatorStatsRegistry component (today: ArrowBasePlugin). Lookup mirrors + // the SearchRequestOperationsListener instanceof filter on pluginComponents elsewhere + // in this file. Server has no compile-time dependency on arrow-base. + // Discovered here (ahead of AdmissionControlService) so it can be forwarded to the + // native-memory admission controller for indexing-pool based rejection. + final Supplier nativeAllocatorStatsSupplier = pluginComponents.stream() + .filter(c -> c instanceof NativeAllocatorStatsRegistry) + .map(c -> ((NativeAllocatorStatsRegistry) c).supplier()) + .findFirst() + .orElse(null); + final NodeResourceUsageTracker nodeResourceUsageTracker = new NodeResourceUsageTracker( monitorService.fsService(), threadPool, @@ -1369,7 +1381,8 @@ protected Node(final Environment initialEnvironment, Collection clas settings, clusterService, threadPool, - resourceUsageCollectorService + resourceUsageCollectorService, + nativeAllocatorStatsSupplier ); AdmissionControlTransportInterceptor admissionControlTransportInterceptor = new AdmissionControlTransportInterceptor( @@ -1644,16 +1657,6 @@ protected Node(final Environment initialEnvironment, Collection clas analyticsTaskCancellationStatsSupplier ); - // Discover the native-allocator stats supplier from any plugin that publishes a - // NativeAllocatorStatsRegistry component (today: ArrowBasePlugin). Lookup mirrors - // the SearchRequestOperationsListener instanceof filter on pluginComponents elsewhere - // in this file. Server has no compile-time dependency on arrow-base. - final Supplier nativeAllocatorStatsSupplier = pluginComponents.stream() - .filter(c -> c instanceof NativeAllocatorStatsRegistry) - .map(c -> ((NativeAllocatorStatsRegistry) c).supplier()) - .findFirst() - .orElse(null); - this.nodeService = new NodeService( settings, threadPool, diff --git a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlService.java b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlService.java index e97593c15cc01..fa567e374ccb7 100644 --- a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlService.java +++ b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlService.java @@ -14,6 +14,7 @@ import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.settings.Settings; import org.opensearch.node.ResourceUsageCollectorService; +import org.opensearch.plugin.stats.NativeAllocatorPoolStats; import org.opensearch.ratelimitting.admissioncontrol.controllers.AdmissionController; import org.opensearch.ratelimitting.admissioncontrol.controllers.CpuBasedAdmissionController; import org.opensearch.ratelimitting.admissioncontrol.controllers.IoBasedAdmissionController; @@ -27,6 +28,7 @@ import java.util.List; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentMap; +import java.util.function.Supplier; import static org.opensearch.ratelimitting.admissioncontrol.controllers.CpuBasedAdmissionController.CPU_BASED_ADMISSION_CONTROLLER; import static org.opensearch.ratelimitting.admissioncontrol.controllers.IoBasedAdmissionController.IO_BASED_ADMISSION_CONTROLLER; @@ -43,6 +45,7 @@ public class AdmissionControlService { private final ClusterService clusterService; private final Settings settings; private final ResourceUsageCollectorService resourceUsageCollectorService; + private final Supplier nativeAllocatorStatsSupplier; /** * @@ -50,12 +53,15 @@ public class AdmissionControlService { * @param clusterService ClusterService Instance * @param threadPool ThreadPool Instance * @param resourceUsageCollectorService Instance used to get node resource usage stats + * @param nativeAllocatorStatsSupplier Nullable supplier of native allocator pool stats, forwarded to the + * native-memory admission controller for indexing-pool based rejection */ public AdmissionControlService( Settings settings, ClusterService clusterService, ThreadPool threadPool, - ResourceUsageCollectorService resourceUsageCollectorService + ResourceUsageCollectorService resourceUsageCollectorService, + Supplier nativeAllocatorStatsSupplier ) { this.threadPool = threadPool; this.admissionControlSettings = new AdmissionControlSettings(clusterService.getClusterSettings(), settings); @@ -63,6 +69,7 @@ public AdmissionControlService( this.clusterService = clusterService; this.settings = settings; this.resourceUsageCollectorService = resourceUsageCollectorService; + this.nativeAllocatorStatsSupplier = nativeAllocatorStatsSupplier; this.initialize(); } @@ -122,7 +129,8 @@ private AdmissionController controllerFactory(String admissionControllerName) { admissionControllerName, this.resourceUsageCollectorService, this.clusterService, - this.settings + this.settings, + this.nativeAllocatorStatsSupplier ); default: throw new IllegalArgumentException("Not Supported AdmissionController : " + admissionControllerName); diff --git a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionController.java b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionController.java index da494bb510807..b1c02a1b5580b 100644 --- a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionController.java +++ b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionController.java @@ -10,16 +10,21 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.opensearch.arrow.spi.PoolGroup; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.settings.Settings; +import org.opensearch.common.unit.TimeValue; +import org.opensearch.common.util.SingleObjectCache; import org.opensearch.core.concurrency.OpenSearchRejectedExecutionException; import org.opensearch.node.NodeResourceUsageStats; import org.opensearch.node.ResourceUsageCollectorService; +import org.opensearch.plugin.stats.NativeAllocatorPoolStats; import org.opensearch.ratelimitting.admissioncontrol.enums.AdmissionControlActionType; import org.opensearch.ratelimitting.admissioncontrol.settings.NativeMemoryBasedAdmissionControllerSettings; import java.util.Locale; import java.util.Optional; +import java.util.function.Supplier; /** * Class for Native Memory Based Admission Controller in OpenSearch, which aims to provide @@ -29,22 +34,53 @@ public class NativeMemoryBasedAdmissionController extends AdmissionController { public static final String NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER = "global_native_memory_usage"; private static final Logger LOGGER = LogManager.getLogger(NativeMemoryBasedAdmissionController.class); + + /** + * Refresh interval for the cached indexing-pool utilization snapshot. The pool stats supplier is + * sampled at most once per interval so the per-request admission path only reads a cached value. + */ + private static final TimeValue INDEXING_POOL_STATS_REFRESH_INTERVAL = TimeValue.timeValueSeconds(1); + private NativeMemoryBasedAdmissionControllerSettings settings; + /** + * Nullable supplier of native allocator pool stats, installed by a plugin (today: ArrowBasePlugin). + * When {@code null} the indexing-pool admission check is skipped entirely and behavior is unchanged. + */ + private final Supplier nativeAllocatorStatsSupplier; + + /** + * Cached indexing-pool utilization percentage ({@code allocated / limit * 100}), or {@code null} when + * no stats supplier is installed. A value of {@code -1.0} means the signal is currently unavailable. + */ + private final SingleObjectCache indexingPoolUtilizationCache; + /** * @param admissionControllerName Name of the admission controller * @param resourceUsageCollectorService Instance used to get node resource usage stats * @param clusterService ClusterService Instance * @param settings Immutable settings instance + * @param nativeAllocatorStatsSupplier Nullable supplier of native allocator pool stats; when {@code null} + * the indexing-pool admission check is disabled */ public NativeMemoryBasedAdmissionController( String admissionControllerName, ResourceUsageCollectorService resourceUsageCollectorService, ClusterService clusterService, - Settings settings + Settings settings, + Supplier nativeAllocatorStatsSupplier ) { super(admissionControllerName, resourceUsageCollectorService, clusterService); this.settings = new NativeMemoryBasedAdmissionControllerSettings(clusterService.getClusterSettings(), settings); + this.nativeAllocatorStatsSupplier = nativeAllocatorStatsSupplier; + this.indexingPoolUtilizationCache = nativeAllocatorStatsSupplier == null + ? null + : new SingleObjectCache<>(INDEXING_POOL_STATS_REFRESH_INTERVAL, -1.0) { + @Override + protected Double refresh() { + return computeIndexingPoolUtilizationPercent(); + } + }; } /** @@ -107,9 +143,53 @@ private boolean isLimitsBreached(String actionName, AdmissionControlActionType a } } } + // Indexing-pool based check: reject indexing requests when the INDEXING native memory pool + // utilization breaches its configured limit. Skipped entirely when no stats supplier is installed. + if (admissionControlActionType == AdmissionControlActionType.INDEXING && this.indexingPoolUtilizationCache != null) { + double indexingPoolUsage = this.indexingPoolUtilizationCache.getOrRefresh(); + long indexingPoolLimit = this.settings.getIndexingNativeMemoryPoolUsageLimit(); + if (indexingPoolUsage >= 0.0 && indexingPoolUsage >= indexingPoolLimit) { + LOGGER.warn( + "NativeMemoryBasedAdmissionController limit reached as the current indexing native memory pool " + + "usage [{}] exceeds the allowed limit [{}] for transport action [{}] in admissionControlMode [{}]", + indexingPoolUsage, + indexingPoolLimit, + actionName, + this.settings.getTransportLayerAdmissionControllerMode() + ); + return true; + } + } return false; } + /** + * Computes the current utilization percentage of the INDEXING native memory pool group as + * {@code allocated / limit * 100}. Returns {@code -1.0} (signal unavailable) when the supplier is + * absent, returns {@code null}, the INDEXING group is missing, or the pool limit is non-positive. + */ + private double computeIndexingPoolUtilizationPercent() { + Supplier supplier = this.nativeAllocatorStatsSupplier; + if (supplier == null) { + return -1.0; + } + NativeAllocatorPoolStats stats; + try { + stats = supplier.get(); + } catch (RuntimeException e) { + LOGGER.debug("native allocator pool stats supplier threw; skipping indexing-pool admission check", e); + return -1.0; + } + if (stats == null) { + return -1.0; + } + NativeAllocatorPoolStats.PoolStats indexingGroup = stats.getGroupedStats().get(PoolGroup.INDEXING.getName()); + if (indexingGroup == null || indexingGroup.getLimitBytes() <= 0) { + return -1.0; + } + return 100.0 * indexingGroup.getAllocatedBytes() / indexingGroup.getLimitBytes(); + } + /** * Get memory rejection threshold based on action type */ diff --git a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/settings/NativeMemoryBasedAdmissionControllerSettings.java b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/settings/NativeMemoryBasedAdmissionControllerSettings.java index abc051f5a7837..f81a14a35897f 100644 --- a/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/settings/NativeMemoryBasedAdmissionControllerSettings.java +++ b/server/src/main/java/org/opensearch/ratelimitting/admissioncontrol/settings/NativeMemoryBasedAdmissionControllerSettings.java @@ -26,12 +26,14 @@ public class NativeMemoryBasedAdmissionControllerSettings { public static class Defaults { public static final long NATIVE_MEMORY_USAGE_LIMIT = 95; public static final long CLUSTER_ADMIN_NATIVE_MEMORY_USAGE_LIMIT = 95; + public static final long INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT = 90; } private AdmissionControlMode transportLayerMode; private Long searchNativeMemoryUsageLimit; private Long indexingNativeMemoryUsageLimit; private Long clusterAdminNativeMemoryUsageLimit; + private Long indexingNativeMemoryPoolUsageLimit; /** * Feature level setting to operate in shadow-mode or in enforced-mode. If enforced field is set @@ -78,6 +80,20 @@ public static class Defaults { Setting.Property.NodeScope ); + /** + * This setting is used to reject indexing requests based on the utilization of the indexing native + * memory pool (the {@code PoolGroup.INDEXING} group of the native allocator pools), as opposed to the + * node-wide native memory utilization governed by {@link #INDEXING_NATIVE_MEMORY_USAGE_LIMIT}. + * The value is a percentage (0-100) of the pool's allocated bytes over its limit bytes. + */ + public static final Setting INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT = Setting.longSetting( + "admission_control.indexing.native_memory_pool_usage.limit", + Defaults.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT, + 0, + Setting.Property.Dynamic, + Setting.Property.NodeScope + ); + public NativeMemoryBasedAdmissionControllerSettings(ClusterSettings clusterSettings, Settings settings) { this.transportLayerMode = NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.get(settings); clusterSettings.addSettingsUpdateConsumer( @@ -87,9 +103,11 @@ public NativeMemoryBasedAdmissionControllerSettings(ClusterSettings clusterSetti this.searchNativeMemoryUsageLimit = SEARCH_NATIVE_MEMORY_USAGE_LIMIT.get(settings); this.indexingNativeMemoryUsageLimit = INDEXING_NATIVE_MEMORY_USAGE_LIMIT.get(settings); this.clusterAdminNativeMemoryUsageLimit = CLUSTER_ADMIN_NATIVE_MEMORY_USAGE_LIMIT.get(settings); + this.indexingNativeMemoryPoolUsageLimit = INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.get(settings); clusterSettings.addSettingsUpdateConsumer(SEARCH_NATIVE_MEMORY_USAGE_LIMIT, this::setSearchNativeMemoryUsageLimit); clusterSettings.addSettingsUpdateConsumer(INDEXING_NATIVE_MEMORY_USAGE_LIMIT, this::setIndexingNativeMemoryUsageLimit); clusterSettings.addSettingsUpdateConsumer(CLUSTER_ADMIN_NATIVE_MEMORY_USAGE_LIMIT, this::setClusterAdminNativeMemoryUsageLimit); + clusterSettings.addSettingsUpdateConsumer(INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT, this::setIndexingNativeMemoryPoolUsageLimit); } public void setTransportLayerMode(AdmissionControlMode transportLayerMode) { @@ -123,4 +141,12 @@ public Long getClusterAdminNativeMemoryUsageLimit() { public void setClusterAdminNativeMemoryUsageLimit(Long clusterAdminNativeMemoryUsageLimit) { this.clusterAdminNativeMemoryUsageLimit = clusterAdminNativeMemoryUsageLimit; } + + public Long getIndexingNativeMemoryPoolUsageLimit() { + return indexingNativeMemoryPoolUsageLimit; + } + + public void setIndexingNativeMemoryPoolUsageLimit(Long indexingNativeMemoryPoolUsageLimit) { + this.indexingNativeMemoryPoolUsageLimit = indexingNativeMemoryPoolUsageLimit; + } } diff --git a/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlServiceTests.java b/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlServiceTests.java index 04753c4924b10..3974ed12fb2bf 100644 --- a/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlServiceTests.java +++ b/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/AdmissionControlServiceTests.java @@ -51,7 +51,7 @@ public void tearDown() throws Exception { } public void testWhenAdmissionControllerRegistered() { - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); if (Constants.LINUX) { assertEquals(admissionControlService.getAdmissionControllers().size(), 3); } else { @@ -61,7 +61,7 @@ public void testWhenAdmissionControllerRegistered() { public void testRegisterInvalidAdmissionController() { String test = "TEST"; - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); if (Constants.LINUX) { assertEquals(admissionControlService.getAdmissionControllers().size(), 3); } else { @@ -75,7 +75,7 @@ public void testRegisterInvalidAdmissionController() { } public void testAdmissionControllerSettings() { - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); AdmissionControlSettings admissionControlSettings = admissionControlService.admissionControlSettings; List admissionControllerList = admissionControlService.getAdmissionControllers(); if (Constants.LINUX) { @@ -122,7 +122,7 @@ public void testAdmissionControllerSettings() { public void testApplyAdmissionControllerDisabled() { this.action = "indices:data/write/bulk[s][p]"; - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); admissionControlService.applyTransportAdmissionControl(this.action, null); List admissionControllerList = admissionControlService.getAdmissionControllers(); admissionControllerList.forEach(admissionController -> { @@ -132,7 +132,7 @@ public void testApplyAdmissionControllerDisabled() { public void testApplyAdmissionControllerEnabled() { this.action = "indices:data/write/bulk[s][p]"; - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); admissionControlService.applyTransportAdmissionControl(this.action, null); assertEquals( admissionControlService.getAdmissionController(CpuBasedAdmissionController.CPU_BASED_ADMISSION_CONTROLLER) @@ -157,7 +157,7 @@ public void testApplyAdmissionControllerEnabled() { public void testApplyAdmissionControllerEnforced() { this.action = "indices:data/write/bulk[s][p]"; - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); admissionControlService.applyTransportAdmissionControl(this.action, null); assertEquals( admissionControlService.getAdmissionController(CpuBasedAdmissionController.CPU_BASED_ADMISSION_CONTROLLER) @@ -182,7 +182,7 @@ public void testApplyAdmissionControllerEnforced() { public void testNativeMemoryBasedAdmissionControllerRegistered() { assumeTrue("native memory controller is Linux-only", Constants.LINUX); - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); AdmissionController nativeMemoryController = admissionControlService.getAdmissionController( NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER ); @@ -192,7 +192,7 @@ public void testNativeMemoryBasedAdmissionControllerRegistered() { public void testNativeMemoryAdmissionControllerSettings() { assumeTrue("native memory controller is Linux-only", Constants.LINUX); - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); NativeMemoryBasedAdmissionController nativeMemoryController = (NativeMemoryBasedAdmissionController) admissionControlService .getAdmissionController(NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER); assertNotNull(nativeMemoryController); @@ -216,7 +216,7 @@ public void testNativeMemoryAdmissionControllerSettings() { public void testApplyNativeMemoryAdmissionControllerDisabled() { assumeTrue("native memory controller is Linux-only", Constants.LINUX); this.action = "indices:data/write/bulk[s][p]"; - admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null); + admissionControlService = new AdmissionControlService(Settings.EMPTY, clusterService, threadPool, null, null); admissionControlService.applyTransportAdmissionControl(this.action, null); assertEquals( admissionControlService.getAdmissionController(NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER) diff --git a/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionControllerTests.java b/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionControllerTests.java index e320daeb439df..253da7268389a 100644 --- a/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionControllerTests.java +++ b/server/src/test/java/org/opensearch/ratelimitting/admissioncontrol/controllers/NativeMemoryBasedAdmissionControllerTests.java @@ -8,10 +8,12 @@ package org.opensearch.ratelimitting.admissioncontrol.controllers; +import org.opensearch.arrow.spi.PoolGroup; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.settings.Settings; import org.opensearch.node.NodeResourceUsageStats; import org.opensearch.node.ResourceUsageCollectorService; +import org.opensearch.plugin.stats.NativeAllocatorPoolStats; import org.opensearch.ratelimitting.admissioncontrol.enums.AdmissionControlActionType; import org.opensearch.ratelimitting.admissioncontrol.enums.AdmissionControlMode; import org.opensearch.ratelimitting.admissioncontrol.settings.NativeMemoryBasedAdmissionControllerSettings; @@ -20,7 +22,9 @@ import org.opensearch.threadpool.TestThreadPool; import org.opensearch.threadpool.ThreadPool; +import java.util.List; import java.util.Optional; +import java.util.function.Supplier; import org.mockito.Mockito; @@ -51,7 +55,8 @@ public void testCheckDefaultParameters() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, null, clusterService, - Settings.EMPTY + Settings.EMPTY, + null ); assertEquals(admissionController.getName(), NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER); assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 0); @@ -66,7 +71,8 @@ public void testCheckDefaultLimits() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, null, clusterService, - Settings.EMPTY + Settings.EMPTY, + null ); assertEquals( admissionController.getSettings().getSearchNativeMemoryUsageLimit().longValue(), @@ -87,7 +93,8 @@ public void testCheckUpdateSettings() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, null, clusterService, - Settings.EMPTY + Settings.EMPTY, + null ); Settings settings = Settings.builder() .put( @@ -109,7 +116,8 @@ public void testCheckUpdateLimitSettings() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, null, clusterService, - Settings.EMPTY + Settings.EMPTY, + null ); Settings settings = Settings.builder() .put(NativeMemoryBasedAdmissionControllerSettings.SEARCH_NATIVE_MEMORY_USAGE_LIMIT.getKey(), 80) @@ -126,7 +134,8 @@ public void testApplyControllerWithDefaultSettings() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - Settings.EMPTY + Settings.EMPTY, + null ); assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 0); assertEquals(admissionController.getSettings().getTransportLayerAdmissionControllerMode(), AdmissionControlMode.DISABLED); @@ -147,7 +156,8 @@ public void testApplyControllerWhenSettingsEnabled() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - settings + settings, + null ); assertTrue( admissionController.isEnabledForTransportLayer(admissionController.getSettings().getTransportLayerAdmissionControllerMode()) @@ -172,7 +182,8 @@ public void testApplyControllerWhenMemoryUsageBreached() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - settings + settings, + null ); // Mock node stats with native memory usage above the threshold @@ -202,7 +213,8 @@ public void testApplyControllerWhenMemoryUsageNotBreached() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - settings + settings, + null ); // Mock node stats with native memory usage below the threshold @@ -229,7 +241,8 @@ public void testApplyControllerInMonitorMode() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - settings + settings, + null ); // Mock node stats with native memory usage above the threshold @@ -255,7 +268,8 @@ public void testRejectionCount() { NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, rs, clusterService, - settings + settings, + null ); admissionController.addRejectionCount(AdmissionControlActionType.SEARCH.getType(), 1); admissionController.addRejectionCount(AdmissionControlActionType.INDEXING.getType(), 3); @@ -266,4 +280,147 @@ public void testRejectionCount() { assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.SEARCH.getType()), 2); assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 5); } + + private static Supplier indexingPoolSupplier(long allocatedBytes, long limitBytes) { + return () -> new NativeAllocatorPoolStats( + -1, + -1, + List.of( + new NativeAllocatorPoolStats.PoolStats( + "ingest", + allocatedBytes, + allocatedBytes, + limitBytes, + PoolGroup.INDEXING.getName(), + 0 + ) + ) + ); + } + + public void testApplyControllerWhenIndexingPoolUsageBreached() { + Settings settings = Settings.builder() + .put( + NativeMemoryBasedAdmissionControllerSettings.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.getKey(), + AdmissionControlMode.ENFORCED.getMode() + ) + .put(NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.getKey(), 90) + .build(); + ResourceUsageCollectorService rs = Mockito.mock(ResourceUsageCollectorService.class); + // 95 / 100 = 95% > 90% limit + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + rs, + clusterService, + settings, + indexingPoolSupplier(95, 100) + ); + action = "indices:data/write/bulk[s][p]"; + expectThrows( + org.opensearch.core.concurrency.OpenSearchRejectedExecutionException.class, + () -> admissionController.apply(action, AdmissionControlActionType.INDEXING) + ); + assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 1); + } + + public void testApplyControllerWhenIndexingPoolUsageNotBreached() { + Settings settings = Settings.builder() + .put( + NativeMemoryBasedAdmissionControllerSettings.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.getKey(), + AdmissionControlMode.ENFORCED.getMode() + ) + .put(NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.getKey(), 90) + .build(); + ResourceUsageCollectorService rs = Mockito.mock(ResourceUsageCollectorService.class); + // 50 / 100 = 50% < 90% limit + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + rs, + clusterService, + settings, + indexingPoolSupplier(50, 100) + ); + action = "indices:data/write/bulk[s][p]"; + admissionController.apply(action, AdmissionControlActionType.INDEXING); + assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 0); + } + + public void testIndexingPoolCheckSkippedWhenSupplierNull() { + Settings settings = Settings.builder() + .put( + NativeMemoryBasedAdmissionControllerSettings.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.getKey(), + AdmissionControlMode.ENFORCED.getMode() + ) + .put(NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.getKey(), 90) + .build(); + ResourceUsageCollectorService rs = Mockito.mock(ResourceUsageCollectorService.class); + // No stats supplier installed -> indexing-pool check is skipped entirely (current behavior preserved) + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + rs, + clusterService, + settings, + null + ); + action = "indices:data/write/bulk[s][p]"; + admissionController.apply(action, AdmissionControlActionType.INDEXING); + assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 0); + } + + public void testIndexingPoolCheckIgnoredForSearchAction() { + Settings settings = Settings.builder() + .put( + NativeMemoryBasedAdmissionControllerSettings.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.getKey(), + AdmissionControlMode.ENFORCED.getMode() + ) + .put(NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.getKey(), 90) + .build(); + ResourceUsageCollectorService rs = Mockito.mock(ResourceUsageCollectorService.class); + // Indexing pool is breached (95%) but the action is SEARCH, so the pool check must not apply + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + rs, + clusterService, + settings, + indexingPoolSupplier(95, 100) + ); + action = "indices:data/read/search"; + admissionController.apply(action, AdmissionControlActionType.SEARCH); + assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.SEARCH.getType()), 0); + } + + public void testIndexingPoolCheckInMonitorModeCountsButDoesNotThrow() { + Settings settings = Settings.builder() + .put( + NativeMemoryBasedAdmissionControllerSettings.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER_TRANSPORT_LAYER_MODE.getKey(), + AdmissionControlMode.MONITOR.getMode() + ) + .put(NativeMemoryBasedAdmissionControllerSettings.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT.getKey(), 90) + .build(); + ResourceUsageCollectorService rs = Mockito.mock(ResourceUsageCollectorService.class); + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + rs, + clusterService, + settings, + indexingPoolSupplier(95, 100) + ); + action = "indices:data/write/bulk[s][p]"; + admissionController.apply(action, AdmissionControlActionType.INDEXING); + assertEquals(admissionController.getRejectionCount(AdmissionControlActionType.INDEXING.getType()), 1); + } + + public void testCheckDefaultIndexingPoolUsageLimit() { + admissionController = new NativeMemoryBasedAdmissionController( + NativeMemoryBasedAdmissionController.NATIVE_MEMORY_BASED_ADMISSION_CONTROLLER, + null, + clusterService, + Settings.EMPTY, + null + ); + assertEquals( + admissionController.getSettings().getIndexingNativeMemoryPoolUsageLimit().longValue(), + NativeMemoryBasedAdmissionControllerSettings.Defaults.INDEXING_NATIVE_MEMORY_POOL_USAGE_LIMIT + ); + } } From 7a27c094c91493565e16c6163665e4bba438b665 Mon Sep 17 00:00:00 2001 From: Finn Date: Tue, 23 Jun 2026 15:28:48 -0700 Subject: [PATCH 34/94] Redact internal details from unrecognized analytics engine 500s (#22233) Unrecognized exceptions (those not converted by NativeErrorConverter to 400/429) now return a generic 'Internal error [task_id=X, query_id=Y]' message to the user instead of leaking internal details (stage IDs, shard routing, gRPC metadata, native error messages, planner internals). The full stack trace is logged at ERROR level server-side so operators can still diagnose issues using the task/query ID as a correlator. Exceptions with well-defined HTTP semantics (IllegalArgumentException -> 400, CircuitBreakingException -> 429, RejectedExecution -> 429) are passed through unchanged since their messages are user-facing by design. Signed-off-by: Finn Carroll --- .../analytics/exec/DefaultPlanExecutor.java | 25 ++++++++++++++++++- .../analytics/planner/IndexResolution.java | 4 +-- .../planner/IndexResolutionTests.java | 8 +++--- 3 files changed, 30 insertions(+), 7 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java index dd6d0dc9ef403..71d89b408a075 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java @@ -17,6 +17,7 @@ import org.apache.calcite.rel.metadata.RelMetadataQueryBase; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.opensearch.ExceptionsHelper; import org.opensearch.action.support.ActionFilters; import org.opensearch.action.support.HandledTransportAction; import org.opensearch.action.support.TimeoutTaskCancellationUtility; @@ -50,6 +51,7 @@ import org.opensearch.common.inject.Inject; import org.opensearch.common.unit.TimeValue; import org.opensearch.core.action.ActionListener; +import org.opensearch.core.rest.RestStatus; import org.opensearch.core.tasks.TaskId; import org.opensearch.search.SearchService; import org.opensearch.tasks.Task; @@ -409,7 +411,21 @@ protected void doExecute(Task task, AnalyticsQueryRequest request, ActionListene // immediately. The listener is wrapped to convert backend-specific exceptions. ActionListener convertingListener = ActionListener.wrap(listener::onResponse, e -> { Exception converted = e instanceof Exception ex ? contextProvider.convertException(ex) : new RuntimeException(e); - listener.onFailure(converted); + // If convertException returned unrecognized 500 — redact internal details and log the original. + if (converted == e && isInternalError(converted)) { + AnalyticsQueryTask queryTask = (AnalyticsQueryTask) task; + String queryId = queryTask.getQueryId(); + String identifier = "unassigned".equals(queryId) + ? "task_id=" + task.getId() + : "task_id=" + task.getId() + ", query_id=" + queryId; + logger.error( + new org.apache.logging.log4j.message.ParameterizedMessage("[analytics-engine] internal error [{}]", identifier), + converted + ); + listener.onFailure(new RuntimeException("Internal error [" + identifier + "]")); + } else { + listener.onFailure(converted); + } }); ContextAwareExecutor.wrap(searchExecutor, threadPool).execute(() -> { try { @@ -443,6 +459,13 @@ protected void doExecute(Task task, AnalyticsQueryRequest request, ActionListene }); } + /** + * Returns true if the exception would produce a 500 response and should be redacted. + */ + private static boolean isInternalError(Exception e) { + return ExceptionsHelper.status(e) == RestStatus.INTERNAL_SERVER_ERROR; + } + /** * Materializes Arrow batches into row-oriented {@code Object[]}s for the * external query API. The scheduler yields batches (the native wire format); diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/IndexResolution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/IndexResolution.java index 4cf9cdaee1b0c..7cdb19d7aec62 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/IndexResolution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/IndexResolution.java @@ -195,7 +195,7 @@ private static IndexResolution resolveAlias(String aliasName, List IndexResolution.resolve("bank_all", state)); + IllegalArgumentException ex = expectThrows(IllegalArgumentException.class, () -> IndexResolution.resolve("bank_all", state)); assertTrue("error must mention the conflicting field: " + ex.getMessage(), ex.getMessage().contains("age")); assertTrue( "error must mention both indices: " + ex.getMessage(), @@ -103,7 +103,7 @@ public void testAliasRejectsFilterAlias() { IndexMetadata.Builder a = indexBuilder("bank_a", longField("age")).putAlias(filterAlias); ClusterState state = clusterStateOf(a); - IllegalStateException ex = expectThrows(IllegalStateException.class, () -> IndexResolution.resolve("active_only", state)); + IllegalArgumentException ex = expectThrows(IllegalArgumentException.class, () -> IndexResolution.resolve("active_only", state)); assertTrue("error must mention the alias name: " + ex.getMessage(), ex.getMessage().contains("active_only")); assertTrue("error must mention 'filter': " + ex.getMessage(), ex.getMessage().toLowerCase(Locale.ROOT).contains("filter")); } @@ -142,7 +142,7 @@ public void testCommaSeparatedExpressionResolvesToUnion() { public void testWildcardRejectsIncompatibleSchemasAcrossMatches() { ClusterState state = clusterStateOf(indexBuilder("test", longField("age")), indexBuilder("test1", keywordField("age"))); - IllegalStateException ex = expectThrows(IllegalStateException.class, () -> IndexResolution.resolve("test*", state, RESOLVER)); + IllegalArgumentException ex = expectThrows(IllegalArgumentException.class, () -> IndexResolution.resolve("test*", state, RESOLVER)); assertTrue("error must mention the conflicting field: " + ex.getMessage(), ex.getMessage().contains("age")); } @@ -268,7 +268,7 @@ public void testDataStreamRejectsConflictingBackingMappings() { ) .build(); - IllegalStateException ex = expectThrows(IllegalStateException.class, () -> IndexResolution.resolve("logs", state, RESOLVER)); + IllegalArgumentException ex = expectThrows(IllegalArgumentException.class, () -> IndexResolution.resolve("logs", state, RESOLVER)); assertTrue("error must mention the conflicting field: " + ex.getMessage(), ex.getMessage().contains("age")); } From 64d6b50abf470506784480bae0c57482605158e6 Mon Sep 17 00:00:00 2001 From: Prudhvi Godithi Date: Tue, 23 Jun 2026 16:03:20 -0700 Subject: [PATCH 35/94] [Sandbox] Map Arrow allocator exhaustion to HTTP 429 (#22274) * analytics error handling Signed-off-by: Prudhvi Godithi * wrap 429 Signed-off-by: Prudhvi Godithi --------- Signed-off-by: Prudhvi Godithi Co-authored-by: Peter Zhu --- .../analytics/exec/QueryExecution.java | 95 +++++++++-- .../analytics/exec/QueryExecutionTests.java | 149 ++++++++++++++++++ 2 files changed, 232 insertions(+), 12 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java index dc3aaaa86f49c..908dc0b42d45a 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryExecution.java @@ -9,6 +9,7 @@ package org.opensearch.analytics.exec; import org.apache.arrow.memory.BufferAllocator; +import org.apache.arrow.memory.OutOfMemoryException; import org.apache.arrow.vector.VectorSchemaRoot; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; @@ -18,9 +19,11 @@ import org.opensearch.analytics.exec.stage.StageExecution; import org.opensearch.analytics.spi.ExchangeSink; import org.opensearch.core.action.ActionListener; +import org.opensearch.core.common.breaker.CircuitBreaker; import org.opensearch.core.common.breaker.CircuitBreakingException; import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.tasks.CancellableTask; +import org.opensearch.transport.stream.StreamException; import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicReference; @@ -175,26 +178,94 @@ private void fireListener(State terminal) { * Determines the exception to report for a non-SUCCEEDED terminal. * *

      Live parent-task cancellation still wins — the user-facing "query cancelled" message stays - * accurate for genuine top-down cancels. The one exception is a breaker masquerading as a cancel: - * a memory-gate trip ({@link CircuitBreakingException}) fails the (reduce) stage and then cancels - * the parent task via the sibling/child cancel sweep, so {@code isCancelled()} is already true by - * the time we report. Returning {@link TaskCancelledException} there would mask the real cause as - * HTTP 500; instead we peek at the captured root failure and, if a breaker is hiding in its cause - * chain, surface it unwrapped so {@code status()} yields 429. A genuine cancel records no stage - * failure ({@code getFailure()} is {@code null}), so the peek finds nothing and behavior is - * unchanged. The non-cancel path is byte-for-byte the original: captured failure, else synthetic. + * accurate for genuine top-down cancels. Two exceptions ride past the cancel mask: + *

        + *
      • Breaker masquerading as a cancel — a memory-gate trip ({@link CircuitBreakingException}) + * fails the (reduce) stage and then cancels the parent task via the sibling/child cancel sweep, + * so {@code isCancelled()} is already true by the time we report. Surfacing it unwrapped gives + * {@code status()} = 429 (Garov, PR #22275). + *
      • Arrow allocator exhaustion — {@link OutOfMemoryException} from {@code BufferAllocator} + * is also back-pressure (allocation rejected against {@code native.allocator.pool.query.max}), + * NOT a JVM {@code OutOfMemoryError}. Translate to {@code CircuitBreakingException} so the same + * budget-refusal convention applies: client sees 429 and {@code FailAwareWeightedRouting} skips + * replica retry, preventing retry storms. Covers two propagation paths: + *
          + *
        • In-process — Arrow's {@code OutOfMemoryException} reaches the coordinator with its + * original class identity intact (e.g. coordinator-local materialization, or a same-JVM + * reduce stage). Matched directly via {@link ExceptionsHelper#unwrap}. + *
        • Across Flight RPC — even on a single-node cluster, shard executor → reduce stage + * rides the Flight transport. Flight's wire envelope strips the original class to + * {@code StreamException[errorCode=INTERNAL]} carrying the Arrow message as a string. We + * pattern-match the {@code "Unable to allocate buffer"} marker (the only producer is + * {@code BaseAllocator.wrapForeignAllocation}) so the cross-RPC path also surfaces as 429. + * A reactive shim until proactive {@code AllocationListener} circuit-breaking lands. + *
        + *
      + * A genuine cancel records no stage failure ({@code getFailure()} is {@code null}), so neither peek + * matches and behavior is unchanged. The non-cancel path is the original modulo the same Arrow OOM + * translation, so direct in-process Arrow OOMs (no cancel sweep, e.g. coordinator-local materialization) + * also surface as 429. + * + *

      TODO: replace this reactive translation with proactive circuit-breaking via Arrow's + * {@code AllocationListener} — wired to register against the parent breaker, so the budget check + * happens at allocation request time and a {@code CircuitBreakingException} is raised natively + * (no unwrap dance). Until then, this is the chokepoint. */ private Exception terminalCause(State terminal) { + Exception failure = graph.rootExecution().getFailure(); if (config.parentTask() instanceof CancellableTask ct && ct.isCancelled()) { - Throwable breaker = ExceptionsHelper.unwrap(graph.rootExecution().getFailure(), CircuitBreakingException.class); + Throwable breaker = ExceptionsHelper.unwrap(failure, CircuitBreakingException.class); if (breaker != null) { return (CircuitBreakingException) breaker; } + CircuitBreakingException arrowOom = arrowOomAsBreaker(failure); + if (arrowOom != null) { + return arrowOom; + } return new TaskCancelledException("query cancelled"); } - StageExecution rootExec = graph.rootExecution(); - Exception failure = rootExec.getFailure(); - return failure != null ? failure : new RuntimeException("Stage " + rootExec.getStageId() + " " + terminal); + if (failure != null) { + CircuitBreakingException arrowOom = arrowOomAsBreaker(failure); + if (arrowOom != null) { + return arrowOom; + } + return failure; + } + return new RuntimeException("Stage " + graph.rootExecution().getStageId() + " " + terminal); + } + + /** + * If {@code failure}'s cause chain carries an Arrow allocator exhaustion — either as a real + * {@link OutOfMemoryException} (in-process) or as a {@link StreamException} whose message contains + * Arrow's allocator-refusal marker (post-Flight-RPC, where the wire envelope stripped the class) — + * return a fresh {@link CircuitBreakingException} (HTTP 429). Otherwise {@code null}. + * + *

      Arrow's {@code OutOfMemoryException} is the allocator's budget-refusal signal, not a JVM OOM, + * so it belongs in the same 429/back-pressure class as {@code CircuitBreakingException}. The string + * marker is Arrow's stable {@code BaseAllocator.wrapForeignAllocation} message ("Unable to allocate + * buffer ... due to memory limit"); this is the only producer of that exact prefix in Arrow Java. + */ + private static CircuitBreakingException arrowOomAsBreaker(Throwable failure) { + Throwable arrowOom = ExceptionsHelper.unwrap(failure, OutOfMemoryException.class); + if (arrowOom != null) { + return wrapAsBreaker("native memory allocation rejected: " + arrowOom.getMessage(), failure); + } + Throwable streamFailure = ExceptionsHelper.unwrap(failure, StreamException.class); + if (streamFailure instanceof StreamException se && carriesArrowOomMessage(se)) { + return wrapAsBreaker("native memory allocation rejected: " + se.getMessage(), failure); + } + return null; + } + + private static boolean carriesArrowOomMessage(StreamException se) { + String msg = se.getMessage(); + return msg != null && msg.contains("Unable to allocate buffer"); + } + + private static CircuitBreakingException wrapAsBreaker(String message, Throwable cause) { + CircuitBreakingException cbe = new CircuitBreakingException(message, CircuitBreaker.Durability.TRANSIENT); + cbe.initCause(cause); + return cbe; } /** Releases buffered terminal-sink batches. Arrow leak/double-release surfaces via {@link #runQuietly}. */ diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java index 1ca6a73bbf2f4..99b18e90bede0 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QueryExecutionTests.java @@ -8,6 +8,7 @@ package org.opensearch.analytics.exec; +import org.apache.arrow.memory.OutOfMemoryException; import org.apache.arrow.vector.VectorSchemaRoot; import org.opensearch.OpenSearchException; import org.opensearch.analytics.backend.ExchangeSource; @@ -28,6 +29,8 @@ import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.core.tasks.TaskId; import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.transport.stream.StreamErrorCode; +import org.opensearch.transport.stream.StreamException; import java.util.ArrayList; import java.util.Collections; @@ -302,6 +305,152 @@ public void testNonBreakerFailureWithCancelledParentStaysTaskCancelled() { assertTrue("non-breaker failure under a cancel stays TaskCancelledException", surfaced instanceof TaskCancelledException); } + // ── Arrow OutOfMemoryException translation ────────────────────────── + // Same shape as Garov's CircuitBreakingException tests, but for Arrow Java's allocator-budget + // refusal (org.apache.arrow.memory.OutOfMemoryException — NOT a JVM OOM). Arrow OOM is the + // signal that an allocation was rejected against native.allocator.pool.query.max; it belongs + // in the same back-pressure / 429 class as CircuitBreakingException so FailAwareWeightedRouting + // skips replica retry. terminalCause translates it to CircuitBreakingException at the coordinator. + + public void testBareArrowOomMasqueradingAsCancelSurfacesAs429() { + // Mirrors the live failure on dev (332-big5): an Arrow allocator trip fails the reduce stage + // and the same sweep cancels the parent task, so isCancelled() is already true by the time we + // report. terminalCause must translate the Arrow OOM to CircuitBreakingException (HTTP 429), + // not mask it as TaskCancelledException (HTTP 500). + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("arrow allocator sweep cancelled the parent task"); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + + OutOfMemoryException arrowOom = new OutOfMemoryException( + "Unable to allocate buffer of size 128 (rounded from 80) due to memory limit. Current allocation: 277821480" + ); + root.failWith(arrowOom); + + Exception surfaced = onFailure.get(); + assertTrue("Arrow OOM must be translated to CircuitBreakingException", surfaced instanceof CircuitBreakingException); + assertEquals("translated breaker maps to HTTP 429", RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + assertSame("original Arrow OOM must be preserved as cause", arrowOom, surfaced.getCause()); + assertTrue("translated message must preserve the Arrow OOM detail", surfaced.getMessage().contains("Unable to allocate buffer")); + } + + public void testWrappedArrowOomUnderCancelStillUnwrapsTo429() { + // Mirrors the in-process Arrow OOM path: ArrayImporter wraps the OOM in IllegalArgumentException + // ("Could not load buffers for field cnt[hll_registers]") before it propagates up. Even nested + // under a cancelled parent task, the cause-walk must surface it as 429. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AnalyticsQueryTask task = newTask(); + task.cancel("arrow allocator sweep cancelled the parent task"); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set), task); + + OutOfMemoryException arrowOom = new OutOfMemoryException("Unable to allocate buffer of size 98304"); + IllegalArgumentException wrapped = new IllegalArgumentException("Could not load buffers for field cnt[hll_registers]", arrowOom); + root.failWith(wrapped); + + Exception surfaced = onFailure.get(); + assertTrue("wrapped Arrow OOM must still translate to CircuitBreakingException", surfaced instanceof CircuitBreakingException); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + assertTrue(surfaced.getMessage().contains("Unable to allocate buffer")); + } + + public void testBareArrowOomFailureSurfacesAs429() { + // Coordinator-local Arrow OOM (no cancel sweep): a direct in-process materialization + // OOM with parent task NOT cancelled must still translate to 429 via the non-cancel + // path so client/router treat it as back-pressure. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set)); + + OutOfMemoryException arrowOom = new OutOfMemoryException("Unable to allocate buffer of size 4194304"); + root.failWith(arrowOom); + + Exception surfaced = onFailure.get(); + assertTrue(surfaced instanceof CircuitBreakingException); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + assertSame(arrowOom, surfaced.getCause()); + } + + public void testStreamExceptionCarryingArrowOomMessageTranslatesTo429() { + // The cross-Flight-RPC path: shard-side Arrow OOM travels over Flight, the wire envelope strips + // the original OutOfMemoryException class, coordinator receives StreamException[INTERNAL] whose + // message contains Arrow's "Unable to allocate buffer ..." marker. terminalCause must still + // surface this as CircuitBreakingException (HTTP 429), not as the raw 500 StreamException. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set)); + + StreamException se = new StreamException( + StreamErrorCode.INTERNAL, + "Could not load buffers for field cnt[hll_registers]: Binary not null. error message: " + + "Unable to allocate buffer of size 98304 due to memory limit. Current allocation: 197104" + ); + root.failWith(se); + + Exception surfaced = onFailure.get(); + assertTrue("post-RPC Arrow OOM must translate to CircuitBreakingException", surfaced instanceof CircuitBreakingException); + assertEquals("translated breaker maps to HTTP 429", RestStatus.TOO_MANY_REQUESTS, ((OpenSearchException) surfaced).status()); + assertSame("original StreamException must be preserved as cause", se, surfaced.getCause()); + assertTrue("translated message must preserve the Arrow OOM detail", surfaced.getMessage().contains("Unable to allocate buffer")); + } + + public void testStreamExceptionWithoutArrowOomMessageSurfacesUnchanged() { + // INTERNAL-code StreamException whose message is NOT an Arrow allocator failure (e.g. a Rust + // panic surfaced via cross_rt_stream.rs) must NOT be re-classified as back-pressure — operators + // need 500 so it pages and FailAwareWeightedRouting can retry on a replica. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set)); + + StreamException se = new StreamException( + StreamErrorCode.INTERNAL, + "java.lang.RuntimeException: Execution error: Panic: byte array offset overflow" + ); + root.failWith(se); + + Exception surfaced = onFailure.get(); + assertSame("non-Arrow-OOM StreamException must pass through unchanged", se, surfaced); + assertFalse(surfaced instanceof CircuitBreakingException); + } + + public void testNonArrowOomFailureSurfacesUnchanged() { + // An unrelated stage failure (e.g. engine-bug-class — a Rust panic surfaced as a + // RuntimeException) must NOT be re-classified as back-pressure. It needs HTTP 500 + // so operators see a real "fix this" signal and FailAwareWeightedRouting can retry + // it on a replica. + Stage rootStage = stageWithId(0); + TestRootExecution root = new TestRootExecution(rootStage, new CountingCloseSink()); + builder.registerFactory(StageExecutionType.LOCAL_PASSTHROUGH, (stage, s, cfg) -> root); + + AtomicReference onFailure = new AtomicReference<>(); + newQueryExecution(rootStage, ActionListener.wrap(r -> fail("unexpected success"), onFailure::set)); + + RuntimeException panic = new RuntimeException("Execution error: Panic: byte array offset overflow"); + root.failWith(panic); + + Exception surfaced = onFailure.get(); + assertSame("non-Arrow-OOM failure must pass through unchanged", panic, surfaced); + assertFalse(surfaced instanceof CircuitBreakingException); + } + // ── helpers ───────────────────────────────────────────────────────── private QueryExecution newQueryExecution(Stage rootStage, ActionListener> listener) { From aa1c6623dc473570f285f2db7fc5fef9d5d98375 Mon Sep 17 00:00:00 2001 From: Michael Oviedo Date: Tue, 23 Jun 2026 16:57:22 -0700 Subject: [PATCH 36/94] Fix SearchStatsContributor to report per-shard fragment counts (#22291) The analytics-engine SearchStatsContributor was reporting 1-per-query (via queries.elapsed_ms.count), but Lucene's ShardSearchStats counts 1-per-shard via per-shard onPreQueryPhase / onQueryPhase callbacks. Downstream consumers of _nodes/stats search counters were undercounting analytics-engine traffic by the shard fan-out factor (e.g. ~50x on a 50-shard index, ~8x on 8 shards). A secondary symptom: query_time_in_millis was reporting near-zero because AnalyticsStatsCollector.recordExecution computes per-query elapsed as (latestStageEnd - earliestStageStart) and skips recording when either timestamp is 0, dropping most queries' latency entirely. Fix: contribute from the fragments bucket (per-shard StageTasks) instead of the per-query bucket. fragments.total is populated once per shard execution with its own elapsed time, matching Lucene's per-shard semantics for both count and time-in-millis. Empirical confirmation on a 27-node OpenSearch 3.5 cluster: 50 PPL queries against a 50-shard index - Observed: cluster-wide query_total delta = 36 - Expected (Lucene parity): 50 queries x 50 shards = 2500 - Per-node breakdown: only 3 of 27 nodes incremented (coordinators) 100 PPL queries against an 8-shard index - Observed: cluster-wide query_total delta = 66 - Expected (Lucene parity): 100 queries x 8 shards = 800 The ratio of undercount scales with shard count, exactly as shard-fan-out-vs-1-per-query predicts. Also splits SearchStatsContributorIT into three tests: - testQueryTotalScalesWithShardFanOut: 3-shard index, asserts delta >= N*shards/2 (catches the 1-per-query bug) - testQueryTimeIncrementsAfterAnalyticsQueries: asserts time delta > 0 (catches the all-or-nothing-window latency bug) - testQueryTotalIncrementsAtLeastOncePerQuery: asserts delta >= N (catches a regression where the contributor stops firing) Signed-off-by: Michael Oviedo --- .../opensearch/analytics/AnalyticsPlugin.java | 21 ++++- .../qa/SearchStatsContributorIT.java | 89 ++++++++++++++----- 2 files changed, 87 insertions(+), 23 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java index cf5dd7ea174d0..b3994c0bf0c9f 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/AnalyticsPlugin.java @@ -260,11 +260,26 @@ static int schedulerPoolSize() { @Override public SearchStats contributeSearchStats() { - AnalyticsStats.LatencyStats elapsed = statsCollector.snapshot().queries().elapsedMs(); - if (elapsed.count() == 0) { + // Contribute per-shard fragment task counts so the node-level search counters + // exposed via _nodes/stats match Lucene's per-shard accounting (one increment + // per shard query phase, not per user query). + // + // The queries.elapsed_ms bucket counts 1-per-query, which undercounts the + // rate by the shard fan-out factor and drops most queries' latency (the + // start/end window in AnalyticsStatsCollector#recordExecution is commonly + // 0 when stage timestamps aren't populated). The SHARD_FRAGMENT stage + // bucket counts 1-per-(query, node-hosting-shards), still missing the + // per-shard granularity Lucene reports. fragments.total walks each + // SHARD_FRAGMENT execution's per-shard StageTasks, giving per-shard + // counts matching Lucene's onPreQueryPhase semantics. + AnalyticsStats snapshot = statsCollector.snapshot(); + AnalyticsStats.Fragments fragments = snapshot.fragments(); + if (fragments == null || fragments.total() == 0) { return null; } - SearchStats.Stats stats = new SearchStats.Stats.Builder().queryCount(elapsed.count()).queryTimeInMillis(elapsed.sumMs()).build(); + SearchStats.Stats stats = new SearchStats.Stats.Builder().queryCount(fragments.total()) + .queryTimeInMillis(fragments.elapsedMs().sumMs()) + .build(); return new SearchStats(stats, 0, null); } diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SearchStatsContributorIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SearchStatsContributorIT.java index a562432a734e6..acb701a78dce0 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SearchStatsContributorIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/SearchStatsContributorIT.java @@ -25,42 +25,91 @@ public class SearchStatsContributorIT extends AnalyticsRestTestCase { private static final Dataset DATASET = new Dataset("calcs", "calcs"); + /** + * Multi-shard index so the test can distinguish the per-query contributor + * (queryCount delta ≈ N) from the per-shard Lucene-equivalent contributor + * (queryCount delta ≈ N × shards). Catches the regression class where the + * contributor counts 1-per-query and silently under-reports search rate + * by the shard fan-out factor to downstream consumers of node stats. + */ + private static final int NUMBER_OF_SHARDS = 3; private static boolean dataProvisioned = false; private void ensureDataProvisioned() throws IOException { if (dataProvisioned == false) { - DatasetProvisioner.provision(client(), DATASET); + DatasetProvisioner.provision(client(), DATASET, NUMBER_OF_SHARDS); dataProvisioned = true; } } - public void testQueryTotalIncrementsAfterAnalyticsQueries() throws IOException { + /** + * Guards the 1-per-query bug: cluster-wide query_total must grow with the + * shard fan-out factor. A 1-per-query contributor would produce delta ≈ N + * (instead of N × shards), under-reporting search rate by the shard fan-out + * factor to downstream consumers of node stats. + */ + public void testQueryTotalScalesWithShardFanOut() throws IOException { ensureDataProvisioned(); - long baselineQueryTotal = getQueryTotalAcrossNodes(); - long baselineQueryTimeMs = getQueryTimeAcrossNodes(); + long before = getQueryTotalAcrossNodes(); + fireQueries(); + long after = getQueryTotalAcrossNodes(); - // Fire a handful of analytics-engine PPL queries — varied shapes so the contributor - // sees both real elapsed time and a non-trivial count. + long delta = after - before; + long minExpected = (long) TOTAL_QUERIES * NUMBER_OF_SHARDS / 2; + assertTrue( + "search.query_total must grow with shard fan-out (fired " + TOTAL_QUERIES + + " on " + NUMBER_OF_SHARDS + "-shard index, expected ≥ " + minExpected + + ", observed delta=" + delta + ")", + delta >= minExpected + ); + } + + /** + * Guards the latency-aggregation bug: query_time_in_millis must move when + * real PPL work runs. A delta of 0 means the contributor's time source + * dropped every recording (e.g. an all-or-nothing window that collapsed). + */ + public void testQueryTimeIncrementsAfterAnalyticsQueries() throws IOException { + ensureDataProvisioned(); + + long before = getQueryTimeAcrossNodes(); + fireQueries(); + long after = getQueryTimeAcrossNodes(); + + long delta = after - before; + assertTrue("search.query_time_in_millis must grow > 0 after PPL work, observed delta=" + delta, delta > 0); + } + + /** + * Minimum-viable check: every fired query must contribute at least once to + * cluster-wide query_total. Catches regressions where the contributor stops + * firing entirely (e.g. returns null, or filters out all stages). + */ + public void testQueryTotalIncrementsAtLeastOncePerQuery() throws IOException { + ensureDataProvisioned(); + + long before = getQueryTotalAcrossNodes(); + fireQueries(); + long after = getQueryTotalAcrossNodes(); + + long delta = after - before; + assertTrue( + "search.query_total must grow by at least one per query (fired " + TOTAL_QUERIES + + ", observed delta=" + delta + ")", + delta >= TOTAL_QUERIES + ); + } + + private static final int TOTAL_QUERIES = 15; + + private void fireQueries() throws IOException { + // Varied shapes so the contributor sees both real elapsed time and a non-trivial count. for (int i = 0; i < 5; i++) { executePpl("source=" + DATASET.indexName + " | fields str0"); executePpl("source=" + DATASET.indexName + " | where num0 > 0 | fields str0, num0"); executePpl("source=" + DATASET.indexName + " | stats avg(num0)"); } - - long afterQueryTotal = getQueryTotalAcrossNodes(); - long afterQueryTimeMs = getQueryTimeAcrossNodes(); - - long countDelta = afterQueryTotal - baselineQueryTotal; - assertTrue( - "search.query_total must increment by at least 1 after analytics queries, delta=" + countDelta, - countDelta >= 1 - ); - // query_time_in_millis is a sum so it should grow strictly monotonically with count; - // any single query that took 0ms is unlikely with non-trivial work, but the contract - // we care about is "the field is being populated", so >= 0 is enough. - long timeDelta = afterQueryTimeMs - baselineQueryTimeMs; - assertTrue("search.query_time_in_millis must not regress, delta=" + timeDelta, timeDelta >= 0); } private long getQueryTotalAcrossNodes() throws IOException { From 65276be7f5e3bafd05bd5ffadc2f6526750c31d4 Mon Sep 17 00:00:00 2001 From: Suresh N S <41610499+nssuresh2007@users.noreply.github.com> Date: Wed, 24 Jun 2026 11:21:26 +0530 Subject: [PATCH 37/94] Fix for text functions with non-text filter condition (#21882) * Fix for text functions with non-text filter condition Signed-off-by: Suresh N S * Addressing PR comments Signed-off-by: Suresh N S * Fixing fully classified class name Signed-off-by: Suresh N S * Addressed comments Signed-off-by: Suresh N S * Fixing sandbox test failure which did not contain explicit fields Signed-off-by: Suresh N S * Adding Lucene Field Extraction Logic Adding Lucene Field Extraction logic in the backend which will be invoked by planner to identify the list of fields that are eligible for the given backend Signed-off-by: Suresh N S * Few more fixes. Added more integration test coverage Signed-off-by: Suresh N S * Spotless fix Signed-off-by: Suresh N S * Adding new method in SPI for RelevanceFieldExtraction Signed-off-by: Suresh N S * Throw exception if field name is not present in list Signed-off-by: Suresh N S --------- Signed-off-by: Suresh N S --- .../spi/DelegatedPredicateSerializer.java | 27 ++ .../analytics/spi/FieldReferences.java | 50 +++ .../AbstractRelevanceSerializer.java | 22 +- .../serializers/RelevanceFieldExtractor.java | 174 +++++++++++ ...elevanceSerializerFieldReferenceTests.java | 198 ++++++++++++ .../analytics/planner/CapabilityRegistry.java | 22 ++ .../planner/rules/OpenSearchFilterRule.java | 69 +++- .../rules/TextRelevanceFieldValidator.java | 131 ++++++++ .../analytics/planner/FilterRuleTests.java | 295 ++++++++++++++++++ .../analytics/planner/MockLuceneBackend.java | 86 ++++- .../qa/TextRelevanceValidationIT.java | 272 ++++++++++++++++ 11 files changed, 1341 insertions(+), 5 deletions(-) create mode 100644 sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/FieldReferences.java create mode 100644 sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/RelevanceFieldExtractor.java create mode 100644 sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/RelevanceSerializerFieldReferenceTests.java create mode 100644 sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/TextRelevanceFieldValidator.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TextRelevanceValidationIT.java diff --git a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DelegatedPredicateSerializer.java b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DelegatedPredicateSerializer.java index 7935b3702dd44..5eefef5f28596 100644 --- a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DelegatedPredicateSerializer.java +++ b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/DelegatedPredicateSerializer.java @@ -21,6 +21,12 @@ * {@link RexCall} and serialize them into backend-specific bytes that can be deserialized * at the data node to create the appropriate query. * + *

      A serializer is the single place that understands a predicate's shape, so it can also + * report the fields the predicate references at planning time via {@link #referencedFields}. + * This is used for full-text predicates whose fields may live inside an opaque query string + * (e.g. {@code query_string}) rather than only in a {@code fields} operand. Serializers that do + * not own such field-resolution semantics inherit the default (no field references reported). + * *

      TODO(same-backend-combining): When tree normalization combines adjacent same-backend * predicates under AND/OR into a single BooleanQuery, serializers will need to handle * composite predicate shapes — not just single-function leaves. @@ -39,4 +45,25 @@ public interface DelegatedPredicateSerializer { * @return backend-specific serialized bytes */ byte[] serialize(RexCall call, List fieldStorage); + + /** + * Returns the fields this predicate references, for plan-time validation, or {@code null} if + * this serializer does not expose field references (the default). Runs at planning time and + * must not require a {@code QueryShardContext} — field identity is analyzer-independent, so only + * the predicate's {@link RexCall} and per-column {@link FieldStorageInfo} are needed. + * + *

      Overridden by full-text serializers whose fields may be written inside the query string + * (e.g. {@code query_string}); the implementation is expected to derive fields from the + * same operand path it would use for {@link #serialize}, so extraction can never drift + * from execution. + * + * @param call the relevance {@link RexCall} (e.g. {@code QUERY_STRING(MAP('fields', ...), MAP('query', ...))}) + * @param fieldStorage per-column storage metadata; {@link org.apache.calcite.rex.RexInputRef} + * indices in {@code call} index into this list + * @return the referenced fields split into validated literals vs. passed-through patterns, plus + * lenient metadata, or {@code null} if field references are not exposed + */ + default FieldReferences referencedFields(RexCall call, List fieldStorage) { + return null; + } } diff --git a/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/FieldReferences.java b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/FieldReferences.java new file mode 100644 index 0000000000000..f476bcc465bee --- /dev/null +++ b/sandbox/libs/analytics-framework/src/main/java/org/opensearch/analytics/spi/FieldReferences.java @@ -0,0 +1,50 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.spi; + +import java.util.List; + +/** + * The fields a relevance predicate (e.g. {@code query_string}, {@code simple_query_string}, + * {@code multi_match}) explicitly references, plus the metadata the planner needs to decide whether + * to eagerly validate them. + * + *

      Produced by {@link DelegatedPredicateSerializer#referencedFields} at planning time from the + * predicate's {@link org.apache.calcite.rex.RexCall} and consumed by the planner's text-relevance + * validation. Field-name extraction is analyzer-independent, so this can be computed without a + * {@code QueryShardContext}. + * + *

      The planner validates only {@link #literalFields()}. {@link #patternTokens()} are + * informational and pass through unvalidated — wildcard/regex field expansion (and default-field + * fan-out for unqualified terms) is resolved at execution by the data node, which matches + * OpenSearch's best-effort, never-erroring treatment of those forms. + * + * @param literalFields explicitly-named concrete field names (from the {@code fields}/{@code field} + * operand and, for {@code query_string}, literal {@code field:} tokens in the + * query string). Validated by the planner. First-appearance ordered. + * @param patternTokens explicitly-named wildcard/regex tokens (e.g. {@code cat*}, {@code *}), + * classified via {@code Regex.isSimpleMatchPattern}. Passed through — not + * expanded, not rejected. + * @param lenient effective lenient flag: the explicit {@code lenient} param when set, + * otherwise {@code true} (assume tolerant when unset). When {@code true} the + * planner suppresses eager type rejection of {@link #literalFields()}. + * + * @opensearch.internal + */ +public record FieldReferences(List literalFields, List patternTokens, boolean lenient) { + + /** + * Normalizes null token lists to empty and wraps both in unmodifiable lists so the result is a + * safe, immutable value object. + */ + public FieldReferences { + literalFields = literalFields == null ? List.of() : List.copyOf(literalFields); + patternTokens = patternTokens == null ? List.of() : List.copyOf(patternTokens); + } +} diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/AbstractRelevanceSerializer.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/AbstractRelevanceSerializer.java index 09f8ad184693b..500dc507025da 100644 --- a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/AbstractRelevanceSerializer.java +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/AbstractRelevanceSerializer.java @@ -9,6 +9,7 @@ package org.opensearch.be.lucene.serializers; import org.apache.calcite.rex.RexCall; +import org.opensearch.analytics.spi.FieldReferences; import org.opensearch.analytics.spi.FieldStorageInfo; import org.opensearch.be.lucene.ConversionUtils; import org.opensearch.index.query.QueryBuilder; @@ -17,9 +18,17 @@ import java.util.Map; /** - * Base class for relevance function serializers. Handles the common pattern of - * extracting operands, validating, creating the query builder, and applying - * optional parameters. + * Base class for relevance function serializers ({@code query_string}, {@code simple_query_string}, + * {@code multi_match}). Handles the common pattern of extracting operands, validating, creating the + * query builder, and applying optional parameters. + * + *

      It also implements {@link org.opensearch.analytics.spi.DelegatedPredicateSerializer#referencedFields} + * for these functions — the serializer is the single place that understands the predicate's operand + * shape — but only orchestrates: it extracts the operands and delegates the actual field parsing and + * literal/pattern classification to {@link RelevanceFieldExtractor} (which decides per function whether + * to parse the query string for in-string fields). Both {@link #buildQueryBuilder} and + * {@code referencedFields} read operands through {@link ConversionUtils#extractRelevanceOperands}, so + * plan-time field extraction can never drift from execution. */ public abstract class AbstractRelevanceSerializer extends AbstractQuerySerializer { @@ -33,6 +42,13 @@ public final QueryBuilder buildQueryBuilder(RexCall call, List return qb; } + @Override + public final FieldReferences referencedFields(RexCall call, List fieldStorage) { + ConversionUtils.RelevanceOperands operands = ConversionUtils.extractRelevanceOperands(call, fieldStorage); + Map params = ConversionUtils.extractOptionalParams(call, optionalParamsStartIndex()); + return RelevanceFieldExtractor.referencedFields(functionName(), operands, params); + } + protected abstract QueryBuilder createQueryBuilder(ConversionUtils.RelevanceOperands operands); protected abstract String functionName(); diff --git a/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/RelevanceFieldExtractor.java b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/RelevanceFieldExtractor.java new file mode 100644 index 0000000000000..ebf757543c1ea --- /dev/null +++ b/sandbox/plugins/analytics-backend-lucene/src/main/java/org/opensearch/be/lucene/serializers/RelevanceFieldExtractor.java @@ -0,0 +1,174 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.lucene.serializers; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.apache.lucene.index.Term; +import org.apache.lucene.queryparser.classic.ParseException; +import org.apache.lucene.queryparser.classic.QueryParser; +import org.apache.lucene.search.Query; +import org.apache.lucene.search.QueryVisitor; +import org.opensearch.analytics.spi.FieldReferences; +import org.opensearch.be.lucene.ConversionUtils; +import org.opensearch.common.lucene.Lucene; +import org.opensearch.common.regex.Regex; + +import java.util.ArrayList; +import java.util.LinkedHashSet; +import java.util.List; +import java.util.Map; +import java.util.Set; + +/** + * Derives the {@link FieldReferences} a multi-field relevance predicate references, for the planner's + * plan-time field-type validation. Kept separate from the serializers so the serializer base stays + * focused on building {@link org.opensearch.index.query.QueryBuilder}s; the relevance serializers + * simply delegate their {@code referencedFields} to this helper. + * + *

      Explicit field tokens come from the already-parsed {@link ConversionUtils.RelevanceOperands} + * (the same operands the serializer builds its query from, so extraction cannot drift from execution). + * For {@code query_string} only, the query string is additionally parsed with Lucene's classic grammar + * (no-op analyzer) to collect fields written inside it (e.g. {@code category:A}, {@code _exists_:status}). + * Tokens are classified literal vs. pattern via {@link Regex#isSimpleMatchPattern} — the same predicate + * OpenSearch's resolver uses — so plan-time classification matches runtime. Only literals are validated + * by the planner; patterns and fan-out pass through. + * + * @opensearch.internal + */ +final class RelevanceFieldExtractor { + + private static final Logger LOGGER = LogManager.getLogger(RelevanceFieldExtractor.class); + + /** Field name for the EXISTS pseudo-operator: {@code _exists_:status} references field {@code status}. */ + private static final String EXISTS_FIELD = "_exists_"; + + /** + * Sentinel default field for parsing {@code query_string} bodies. Unqualified terms resolve to + * this field; it is skipped rather than emitted as a reference. Uses a control char so it can + * never collide with a real mapping field name. + */ + private static final String DEFAULT_FIELD_SENTINEL = "\u0000__analytics_default_field__"; + + /** + * Relevance functions whose query string carries in-string {@code field:value} syntax and should + * therefore be parsed for in-string fields. Only {@code query_string} qualifies today; + * {@code simple_query_string}/{@code multi_match} have no in-string field grammar (a {@code :} is + * treated literally), so their referenced fields come solely from the {@code fields} operand. Add + * future functions here. Entries match the serializers' {@code functionName()}. + */ + private static final Set QUERY_STRING_FUNCTIONS = Set.of("query_string"); + + private RelevanceFieldExtractor() {} + + /** + * Computes the referenced fields for a relevance predicate. + * + *

      Explicit {@code fields}/{@code field} tokens are collected for every relevance function; the + * query string is additionally parsed for in-string fields only when {@code functionName} is a + * query-string-style function (see {@link #QUERY_STRING_FUNCTIONS}). + * + * @param functionName the relevance function name (e.g. {@code "query_string"}); decides whether + * the query string is parsed for in-string fields, and used for log context + * @param operands the predicate's extracted operands (fields, query, etc.) + * @param optionalParams the predicate's optional key/value params; the {@code lenient} flag is + * read from here (absent → non-lenient, preserving eager rejection) + */ + static FieldReferences referencedFields( + String functionName, + ConversionUtils.RelevanceOperands operands, + Map optionalParams + ) { + // Collect referenced field tokens in first-appearance order, deduped. + Set tokens = new LinkedHashSet<>(); + + // 1. Explicit fields from the `fields`/`field` operand (already mapping-resolved for $ref forms). + if (operands.fields() != null) { + tokens.addAll(operands.fields()); + } + if (operands.fieldName() != null) { + tokens.add(operands.fieldName()); + } + + // 2. Only query_string carries in-string field:value syntax; parse it for in-string fields. + if (QUERY_STRING_FUNCTIONS.contains(functionName) && operands.query() != null) { + collectInStringFields(functionName, operands.query(), tokens); + } + + // 3. Classify literal vs. pattern; only literals are validated by the planner. + List literalFields = new ArrayList<>(); + List patternTokens = new ArrayList<>(); + for (String token : tokens) { + if (Regex.isSimpleMatchPattern(token)) { + patternTokens.add(token); + } else { + literalFields.add(token); + } + } + + return new FieldReferences(literalFields, patternTokens, resolveLenient(optionalParams)); + } + + /** + * Parses the query string with Lucene's classic grammar and records every field a leaf clause + * touches. The sentinel default field marks fan-out; {@code _exists_:field} contributes the + * named field (its term text) rather than {@code _exists_}. + * + *

      Best-effort: the plan-time parser does not implement OpenSearch's {@code query_string} + * extensions (e.g. {@code field:>15} unbounded ranges). On any parse failure, in-string + * extraction is skipped and validation relies on the explicit {@code fields} operand — the + * authoritative parse happens at execution. Unqualified terms resolve to the sentinel default + * field and are not emitted as field references. + */ + private static void collectInStringFields(String functionName, String queryString, Set tokens) { + QueryParser parser = new QueryParser(DEFAULT_FIELD_SENTINEL, Lucene.KEYWORD_ANALYZER); + parser.setAllowLeadingWildcard(true); + Query query; + try { + query = parser.parse(queryString); + } catch (ParseException | RuntimeException e) { + LOGGER.warn( + "[{}] skipping in-string field extraction; query string not parseable by plan-time parser [{}]: {}", + functionName, + queryString, + e.getMessage() + ); + return; + } + query.visit(new QueryVisitor() { + @Override + public boolean acceptField(String field) { + // Skip the sentinel (unqualified terms) and _exists_ (handled via term text below). + if (DEFAULT_FIELD_SENTINEL.equals(field) == false && EXISTS_FIELD.equals(field) == false) { + tokens.add(field); + } + return true; + } + + @Override + public void consumeTerms(Query q, Term... terms) { + for (Term term : terms) { + if (EXISTS_FIELD.equals(term.field())) { + tokens.add(term.text()); + } + } + } + }); + } + + /** + * Effective lenient flag: the explicit {@code lenient} param when present, otherwise {@code false} + * (assume non-lenient when unset). Treating unset as non-lenient preserves the planner's eager + * rejection of explicitly-named non-text fields; an explicit {@code lenient=true} opts out. + */ + private static boolean resolveLenient(Map optionalParams) { + String value = optionalParams.get("lenient"); + return value != null && Boolean.parseBoolean(value); + } +} diff --git a/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/RelevanceSerializerFieldReferenceTests.java b/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/RelevanceSerializerFieldReferenceTests.java new file mode 100644 index 0000000000000..666838bf2d8c2 --- /dev/null +++ b/sandbox/plugins/analytics-backend-lucene/src/test/java/org/opensearch/be/lucene/RelevanceSerializerFieldReferenceTests.java @@ -0,0 +1,198 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.lucene; + +import org.apache.calcite.jdbc.JavaTypeFactoryImpl; +import org.apache.calcite.rel.type.RelDataType; +import org.apache.calcite.rel.type.RelDataTypeFactory; +import org.apache.calcite.rex.RexBuilder; +import org.apache.calcite.rex.RexCall; +import org.apache.calcite.rex.RexNode; +import org.apache.calcite.sql.SqlFunction; +import org.apache.calcite.sql.SqlFunctionCategory; +import org.apache.calcite.sql.SqlKind; +import org.apache.calcite.sql.fun.SqlStdOperatorTable; +import org.apache.calcite.sql.type.OperandTypes; +import org.apache.calcite.sql.type.ReturnTypes; +import org.apache.calcite.sql.type.SqlTypeName; +import org.opensearch.analytics.spi.FieldReferences; +import org.opensearch.be.lucene.serializers.QueryStringSerializer; +import org.opensearch.be.lucene.serializers.SimpleQueryStringSerializer; +import org.opensearch.test.OpenSearchTestCase; + +import java.math.BigDecimal; +import java.util.ArrayList; +import java.util.List; + +/** + * Unit tests for the relevance serializers' {@code referencedFields} implementation + * (in {@code AbstractRelevanceSerializer}) across the design's Problem-statement cases: explicit + * MAP fields, in-string fields, ranges, {@code _exists_}, default-field fan-out, pattern + * classification, lenient resolution, and parse failures. + */ +public class RelevanceSerializerFieldReferenceTests extends OpenSearchTestCase { + + private static final SqlFunction RELEVANCE_FUNCTION = new SqlFunction( + "RELEVANCE_FN", + SqlKind.OTHER_FUNCTION, + ReturnTypes.BOOLEAN, + null, + OperandTypes.ANY, + SqlFunctionCategory.USER_DEFINED_FUNCTION + ); + + // query_string parses the query string for in-string fields; simple_query_string does not. + private final QueryStringSerializer queryStringSerializer = new QueryStringSerializer(); + private final SimpleQueryStringSerializer simpleQueryStringSerializer = new SimpleQueryStringSerializer(); + + private RelDataTypeFactory typeFactory; + private RexBuilder rexBuilder; + + @Override + public void setUp() throws Exception { + super.setUp(); + typeFactory = new JavaTypeFactoryImpl(); + rexBuilder = new RexBuilder(typeFactory); + } + + public void testQueryStringExplicitFields() { + RexCall call = buildCall(List.of("title", "body"), "hello"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("title", "body"), refs.literalFields()); + assertTrue(refs.patternTokens().isEmpty()); + assertFalse("lenient defaults to false when unset (Option B)", refs.lenient()); + } + + public void testQueryStringInStringFieldNoExplicitFields() { + RexCall call = buildCall(null, "category:A"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("category"), refs.literalFields()); + } + + public void testQueryStringMergesExplicitAndInStringFields() { + RexCall call = buildCall(List.of("title"), "title:hi AND status:1"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + // title (explicit + in-string, deduped) and status (in-string), first-appearance order. + assertEquals(List.of("title", "status"), refs.literalFields()); + } + + public void testQueryStringPatternTokenNotValidatedAsLiteral() { + RexCall call = buildCall(List.of("cat*"), "hello"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertTrue("pattern must not be a literal", refs.literalFields().isEmpty()); + assertEquals(List.of("cat*"), refs.patternTokens()); + } + + public void testQueryStringFieldlessYieldsNoLiterals() { + RexCall call = buildCall(null, "foo bar"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + // Unqualified terms fan out to default_field at execution; nothing for the planner to validate. + assertTrue(refs.literalFields().isEmpty()); + assertTrue(refs.patternTokens().isEmpty()); + } + + public void testQueryStringExistsField() { + RexCall call = buildCall(null, "_exists_:status"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("status"), refs.literalFields()); + } + + public void testQueryStringRangeField() { + RexCall call = buildCall(null, "value:[1 TO 5]"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("value"), refs.literalFields()); + } + + public void testSimpleQueryStringIgnoresInStringSyntax() { + // simple_query_string has no field:value syntax; only the `fields` operand contributes. + RexCall call = buildCall(List.of("title", "body"), "category:A"); + FieldReferences refs = simpleQueryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("title", "body"), refs.literalFields()); + } + + public void testExplicitLenientHonored() { + RexCall callFalse = buildCallWithLenient(List.of("intField"), "x", false); + assertFalse(queryStringSerializer.referencedFields(callFalse, List.of()).lenient()); + + RexCall callTrue = buildCallWithLenient(List.of("intField"), "x", true); + assertTrue(queryStringSerializer.referencedFields(callTrue, List.of()).lenient()); + + // Unset → false (Option B): preserves eager rejection. + RexCall callUnset = buildCall(List.of("intField"), "x"); + assertFalse(queryStringSerializer.referencedFields(callUnset, List.of()).lenient()); + } + + public void testParseFailureFallsBackGracefully() { + // OpenSearch query_string supports `field:>15`; Lucene's stock parser does not. On parse + // failure we skip in-string extraction (no throw) and rely on explicit fields. + RexCall call = buildCall(List.of("severityNumber"), "severityNumber:>15"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + assertEquals(List.of("severityNumber"), refs.literalFields()); + assertTrue(refs.patternTokens().isEmpty()); + } + + public void testUnparseableFieldlessQueryFallsBackToFanout() { + RexCall call = buildCall(null, "title:(unbalanced"); + FieldReferences refs = queryStringSerializer.referencedFields(call, List.of()); + + // Parse failed, no explicit fields → nothing for the planner to validate; fan-out resolved at execution. + assertTrue(refs.literalFields().isEmpty()); + assertTrue(refs.patternTokens().isEmpty()); + } + + // ---- builders ---- + + /** Builds {@code fn(MAP('fields', MAP(f1,1.0,...)), MAP('query', queryString))}; omits fields MAP when null. */ + private RexCall buildCall(List fields, String queryString) { + List operands = new ArrayList<>(); + if (fields != null) { + operands.add(fieldsOperand(fields)); + } + operands.add(queryOperand(queryString)); + return (RexCall) rexBuilder.makeCall(RELEVANCE_FUNCTION, operands.toArray(new RexNode[0])); + } + + /** Builds {@code fn(MAP('fields', ...), MAP('query', ...), MAP('lenient', 'true|false'))}. */ + private RexCall buildCallWithLenient(List fields, String queryString, boolean lenient) { + RexNode lenientMap = rexBuilder.makeCall( + SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, + rexBuilder.makeLiteral("lenient"), + rexBuilder.makeLiteral(Boolean.toString(lenient)) + ); + return (RexCall) rexBuilder.makeCall(RELEVANCE_FUNCTION, fieldsOperand(fields), queryOperand(queryString), lenientMap); + } + + private RexNode fieldsOperand(List fields) { + RelDataType doubleType = typeFactory.createSqlType(SqlTypeName.DOUBLE); + List nested = new ArrayList<>(); + for (String field : fields) { + nested.add(rexBuilder.makeLiteral(field)); + nested.add(rexBuilder.makeExactLiteral(new BigDecimal("1.0"), doubleType)); + } + RexNode nestedMap = rexBuilder.makeCall(SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, nested.toArray(new RexNode[0])); + return rexBuilder.makeCall(SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, rexBuilder.makeLiteral("fields"), nestedMap); + } + + private RexNode queryOperand(String queryString) { + return rexBuilder.makeCall( + SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, + rexBuilder.makeLiteral("query"), + rexBuilder.makeLiteral(queryString) + ); + } +} diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/CapabilityRegistry.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/CapabilityRegistry.java index 397fdf1469699..b318bd90471d9 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/CapabilityRegistry.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/CapabilityRegistry.java @@ -12,6 +12,7 @@ import org.opensearch.analytics.spi.AggregateFunction; import org.opensearch.analytics.spi.AnalyticsSearchBackendPlugin; import org.opensearch.analytics.spi.BackendCapabilityProvider; +import org.opensearch.analytics.spi.DelegatedPredicateSerializer; import org.opensearch.analytics.spi.DelegationType; import org.opensearch.analytics.spi.EngineCapability; import org.opensearch.analytics.spi.FieldStorageInfo; @@ -73,6 +74,12 @@ public class CapabilityRegistry { private final Map> delegationAcceptors = new HashMap<>(); private final Map> fullTextParamIndex = new HashMap<>(); + // Per-function delegated-predicate serializers, aggregated across backends (first declaration wins). + // Besides producing execution bytes, a serializer can report a predicate's referenced fields at + // planning time (referencedFields). Full-text is Lucene-only today, so a single function -> serializer + // map suffices. + private final Map predicateSerializers = new HashMap<>(); + private final Function fieldStorageFactory; // Backends that declared any capability for each operator — O(1) membership check @@ -92,6 +99,10 @@ public CapabilityRegistry( backendsByName.put(name, backend); BackendCapabilityProvider caps = backend.getCapabilityProvider(); + for (Map.Entry entry : caps.delegatedPredicateSerializers().entrySet()) { + predicateSerializers.putIfAbsent(entry.getKey(), entry.getValue()); + } + for (EngineCapability cap : caps.supportedEngineCapabilities()) { operatorIndex.computeIfAbsent(cap, k -> new ArrayList<>()).add(name); } @@ -303,6 +314,17 @@ public List opaqueBackendsAnyFormat(String name) { return allBackends(opaqueIndex.getOrDefault(name, Map.of())); } + /** + * The {@link DelegatedPredicateSerializer} registered for {@code function}, or {@code null} if no + * backend declared one. Besides producing execution bytes, the serializer exposes a predicate's + * referenced fields at planning time via {@link DelegatedPredicateSerializer#referencedFields}, + * which full-text field-type validation uses to enumerate the fields a relevance predicate + * references (including in-query-string fields). + */ + public DelegatedPredicateSerializer predicateSerializer(ScalarFunction function) { + return predicateSerializers.get(function); + } + // ---- Annotation handling ---- /** diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java index 6c71c9929c923..a1e4540c01dcb 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java @@ -25,7 +25,9 @@ import org.opensearch.analytics.planner.rel.OpenSearchFilter; import org.opensearch.analytics.planner.rel.OpenSearchRelNode; import org.opensearch.analytics.settings.DelegationBlockList; +import org.opensearch.analytics.spi.DelegatedPredicateSerializer; import org.opensearch.analytics.spi.DelegationType; +import org.opensearch.analytics.spi.FieldReferences; import org.opensearch.analytics.spi.FieldStorageInfo; import org.opensearch.analytics.spi.FieldType; import org.opensearch.analytics.spi.ScalarFunction; @@ -166,8 +168,73 @@ private List resolveViableBackends( if (fieldIndices.isEmpty()) { // Multi-field full-text functions (multi_match, query_string, simple_query_string) // encode field names as string literals in nested MAPs rather than RexInputRef. - // Resolve viability against any backend that supports the function on text fields. + // Extract the literal field names and resolve viability per-field using the actual + // FieldStorageInfo lookup — same code path as RexInputRef-based fields. This ensures + // that, e.g., query_string(['severityNumber'], ...) on an INTEGER field doesn't get + // routed to a backend that only declared (QUERY_STRING, TEXT) capability. if (function.getCategory() == ScalarFunction.Category.FULL_TEXT) { + if (TextRelevanceFieldValidator.usesLiteralFieldEncoding(function)) { + // A backend that declares full-text capability for these multi-field functions + // MUST register a DelegatedPredicateSerializer whose referencedFields() surfaces + // the fields named inside the query string (not just the `fields` MAP). A missing + // serializer (or one that does not implement referencedFields) is a wiring error, + // not a query error — fail explicitly rather than under-validating. + DelegatedPredicateSerializer serializer = registry.predicateSerializer(function); + FieldReferences refs = serializer == null ? null : serializer.referencedFields(predicate, fieldStorageInfos); + if (refs == null) { + throw new IllegalStateException( + "No field-reference extraction available for full-text function [" + + predicate.getOperator().getName() + + "]. A backend declaring this function's filter capability must provide a" + + " DelegatedPredicateSerializer that implements referencedFields()." + ); + } + List literalFieldNames = refs.literalFields(); + boolean lenient = refs.lenient(); + if (literalFieldNames.isEmpty()) { + // No explicit literal fields to type-check: only patterns and/or default-field + // fan-out, which OpenSearch resolves best-effort at execution. Fall back to the + // TEXT-type assumption and let the full-text-capable backend handle it. + return new ArrayList<>(registry.filterBackendsAnyFormat(function, FieldType.TEXT)); + } + // Eagerly reject text-relevance functions on non-text/keyword fields, unless the + // caller explicitly set lenient=true + if (lenient == false) { + TextRelevanceFieldValidator.rejectNonTextFieldsForTextFunction( + predicate.getOperator().getName(), + literalFieldNames, + fieldStorageInfos + ); + } + Set viableSet = new HashSet<>(registry.filterCapableBackends()); + for (String fieldName : literalFieldNames) { + FieldStorageInfo storageInfo = null; + for (FieldStorageInfo info : fieldStorageInfos) { + if (fieldName.equals(info.getFieldName())) { + storageInfo = info; + break; + } + } + if (storageInfo == null) { + // An explicitly-named literal field absent from the scan's schema is an + // unknown field. (Wildcard/regex field tokens never reach here: they are + // classified as patterns and handled by the empty-literals branch above.) + throw new IllegalArgumentException("Field [" + fieldName + "] not found."); + } + viableSet.retainAll(registry.filterBackendsForField(function, storageInfo)); + } + if (viableSet.isEmpty()) { + throw new IllegalStateException( + "No backend can evaluate filter predicate [" + + predicate.getKind() + + "] on literal-named fields " + + literalFieldNames + ); + } + return new ArrayList<>(viableSet); + } + // FULL_TEXT but not a literal-field-encoding function (e.g. QUERY no-field variant, + // MATCHALL): no explicit field list to validate — fall back to TEXT type assumption. return new ArrayList<>(registry.filterBackendsAnyFormat(function, FieldType.TEXT)); } // No field reference (non-deterministic, or an unfoldable constant like diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/TextRelevanceFieldValidator.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/TextRelevanceFieldValidator.java new file mode 100644 index 0000000000000..8a95b34fb700d --- /dev/null +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/TextRelevanceFieldValidator.java @@ -0,0 +1,131 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.planner.rules; + +import org.opensearch.analytics.spi.FieldStorageInfo; +import org.opensearch.analytics.spi.FieldType; +import org.opensearch.analytics.spi.ScalarFunction; + +import java.util.EnumSet; +import java.util.List; +import java.util.Set; + +/** + * Validates that explicitly-named fields in multi-field text-relevance functions are mapped as + * {@code text} or {@code keyword}. + * + *

      Multi-field full-text functions ({@code multi_match}, {@code query_string}, + * {@code simple_query_string}) encode field names as string literals inside a nested + * {@code MAP_VALUE_CONSTRUCTOR} rather than through {@link org.apache.calcite.rex.RexInputRef}. + * The backend's {@code DelegatedPredicateSerializer.referencedFields} surfaces those names; this class rejects any that + * resolve to a non-text/keyword mapping so users get a precise, actionable planning error (naming + * the field and its type) instead of a generic "no backend can evaluate" failure later in the + * pipeline. + * + *

      Extracted from {@link OpenSearchFilterRule} to keep that rule focused on predicate annotation + * and viable-backend computation. + * + * @opensearch.internal + */ +public final class TextRelevanceFieldValidator { + + /** + * The multi-field/literal-MAP text-relevance functions that encode their field list as string + * literals in a nested MAP. Single-field {@code MATCH} variants are intentionally excluded — + * they reference their field through {@link org.apache.calcite.rex.RexInputRef} and so flow + * through the standard field-index path instead. + */ + private static final Set LITERAL_FIELD_TEXT_FUNCTIONS = Set.of( + ScalarFunction.QUERY_STRING, + ScalarFunction.SIMPLE_QUERY_STRING, + ScalarFunction.MULTI_MATCH + ); + + /** + * Field types a text-relevance function may be applied to: {@code text} family ∪ {@code keyword} + * family. Built once at class init from {@link FieldType#text()} and {@link FieldType#keyword()} + * rather than per validation call. + */ + private static final Set ALLOWED_TEXT_FIELD_TYPES; + + static { + EnumSet allowed = EnumSet.noneOf(FieldType.class); + allowed.addAll(FieldType.text()); + allowed.addAll(FieldType.keyword()); + ALLOWED_TEXT_FIELD_TYPES = allowed; + } + + private TextRelevanceFieldValidator() { + // utility class + } + + /** + * Returns whether {@code function} encodes its field list as string literals in a nested MAP + * (i.e. is one of {@code query_string}, {@code simple_query_string}, {@code multi_match}). Only + * for these functions should {@link #rejectNonTextFieldsForTextFunction} be applied; other + * full-text functions either reference fields via {@code RexInputRef} or carry no explicit + * field list. + */ + public static boolean usesLiteralFieldEncoding(ScalarFunction function) { + return LITERAL_FIELD_TEXT_FUNCTIONS.contains(function); + } + + /** + * Validates that all explicitly named fields used in a text-relevance function + * (e.g. {@code query_string}, {@code simple_query_string}, {@code multi_match}) + * are mapped as {@code text} or {@code keyword}. Throws a descriptive + * {@link IllegalArgumentException} naming the offending field, its mapping type, + * and the function — surfaced at planning so users get a clear, actionable error + * instead of a generic "no backend can evaluate" failure later in the pipeline. + * + *

      Fields whose storage info cannot be resolved (unknown columns, dynamic + * mappings) are skipped — they fall through to the existing capability-based + * matching where they get the conservative TEXT-type assumption. + */ + public static void rejectNonTextFieldsForTextFunction( + String functionName, + List fieldNames, + List fieldStorageInfos + ) { + for (String fieldName : fieldNames) { + FieldStorageInfo storageInfo = findStorageByFieldName(fieldStorageInfos, fieldName); + if (storageInfo == null) { + continue; + } + FieldType type = storageInfo.getFieldType(); + if (type != null && ALLOWED_TEXT_FIELD_TYPES.contains(type) == false) { + String mappingType = storageInfo.getMappingType() != null ? storageInfo.getMappingType() : "unknown"; + throw new IllegalArgumentException( + "Text-relevance function [" + + functionName + + "] cannot be applied to field [" + + fieldName + + "] of type [" + + mappingType + + "]. Only text and keyword fields are supported. " + + "Use a typed comparison (e.g. [" + + fieldName + + " > value]) for non-text fields." + ); + } + } + } + + /** + * Looks up a {@link FieldStorageInfo} by field name. Returns null if no match. + */ + private static FieldStorageInfo findStorageByFieldName(List fieldStorageInfos, String fieldName) { + for (FieldStorageInfo info : fieldStorageInfos) { + if (fieldName.equals(info.getFieldName())) { + return info; + } + } + return null; + } +} diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java index 8879057cace67..b1c64587bf74d 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java @@ -31,10 +31,15 @@ import org.opensearch.analytics.settings.PlannerSettings; import org.opensearch.analytics.spi.AnalyticsSearchBackendPlugin; import org.opensearch.analytics.spi.BackendCapabilityProvider; +import org.opensearch.analytics.spi.DelegatedPredicateSerializer; import org.opensearch.analytics.spi.DelegationType; import org.opensearch.analytics.spi.EngineCapability; +import org.opensearch.analytics.spi.FieldReferences; +import org.opensearch.analytics.spi.FieldStorageInfo; import org.opensearch.analytics.spi.ScalarFunction; +import java.math.BigDecimal; +import java.util.ArrayList; import java.util.List; import java.util.Map; import java.util.Set; @@ -312,6 +317,296 @@ public void testErrorForUnsupportedFieldTypeOperatorCombo() { assertTrue(exception.getMessage().contains("has no storage")); } + // ---- Text-relevance function on non-text field type-check ---- + + /** + * {@code query_string(['severityNumber'], '...')} on a {@code long} field is rejected + * at planning with a precise, actionable error message — text-relevance functions + * cannot be applied to numeric fields. + */ + public void testQueryStringOnNumericFieldIsRejected() { + RelOptTable table = mockTable("test_index", new String[] { "severityNumber" }, new SqlTypeName[] { SqlTypeName.BIGINT }); + RexNode condition = makeMultiFieldFullTextCall( + fullTextSqlFunction("QUERY_STRING"), + List.of("severityNumber"), + "severityNumber:>15" + ); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext("parquet", Map.of("severityNumber", Map.of("type", "long"))); + + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); + assertTrue("Error must name the function: " + exception.getMessage(), exception.getMessage().contains("QUERY_STRING")); + assertTrue("Error must name the offending field: " + exception.getMessage(), exception.getMessage().contains("severityNumber")); + assertTrue("Error must name the field type: " + exception.getMessage(), exception.getMessage().contains("long")); + assertTrue("Error must hint at typed comparison: " + exception.getMessage(), exception.getMessage().contains("typed comparison")); + } + + /** + * {@code query_string(['eventTime'], '...')} on a {@code date} field is rejected — text-relevance + * functions only apply to text/keyword. + */ + public void testQueryStringOnDateFieldIsRejected() { + RelOptTable table = mockTable("test_index", new String[] { "eventTime" }, new SqlTypeName[] { SqlTypeName.DATE }); + RexNode condition = makeMultiFieldFullTextCall(fullTextSqlFunction("QUERY_STRING"), List.of("eventTime"), "2026-01-01"); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext("parquet", Map.of("eventTime", Map.of("type", "date"))); + + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); + assertTrue(exception.getMessage().contains("QUERY_STRING")); + assertTrue(exception.getMessage().contains("eventTime")); + assertTrue(exception.getMessage().contains("date")); + } + + /** + * {@code query_string(['status'], '...')} on a {@code keyword} field is accepted — + * keyword fields are valid for text-relevance functions. + * + *

      Note: this fixture's mock DataFusion backend declares scan support only for + * numeric/keyword/date/boolean types (not {@code text}), and the mock Lucene backend + * has no value-producing scan capability, so a pure {@code text} field can't be scanned + * here at all — the table-scan rule throws before the filter rule runs. This test therefore + * exercises the {@code keyword} acceptance path. + */ + public void testQueryStringOnKeywordFieldIsAccepted() { + OpenSearchFilter result = runFilterWithDelegation( + "parquet", + Map.of("status", Map.of("type", "keyword", "index", true)), + new String[] { "status" }, + new SqlTypeName[] { SqlTypeName.VARCHAR }, + makeMultiFieldFullTextCall(fullTextSqlFunction("QUERY_STRING"), List.of("status"), "active") + ); + + AnnotatedPredicate predicate = (AnnotatedPredicate) result.getCondition(); + assertPredicateAnnotation(predicate, MockLuceneBackend.NAME); + } + + /** + * {@code query_string(['status', 'severityNumber'], '...')} with a mixed field list + * (keyword + long) is rejected — every named field must be text/keyword. The keyword + * field keeps the scan viable (see note on {@link #testQueryStringOnKeywordFieldIsAccepted}), + * so planning reaches the filter rule and the {@code long} field triggers the rejection. + */ + public void testQueryStringOnMixedFieldsRejectsBecauseOfNonTextField() { + RelOptTable table = mockTable( + "test_index", + new String[] { "status", "severityNumber" }, + new SqlTypeName[] { SqlTypeName.VARCHAR, SqlTypeName.BIGINT } + ); + RexNode condition = makeMultiFieldFullTextCall(fullTextSqlFunction("QUERY_STRING"), List.of("status", "severityNumber"), "error"); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext( + "parquet", + Map.of("status", Map.of("type", "keyword", "index", true), "severityNumber", Map.of("type", "long")) + ); + + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); + assertTrue(exception.getMessage().contains("severityNumber")); + assertTrue(exception.getMessage().contains("long")); + } + + /** + * Field-less {@code query_string('category:A')} — the form the PPL {@code search} command lowers + * {@code search source=idx category=A} into. There is no {@code fields} MAP, so no literal field + * names are extracted; the field reference lives inside the Lucene query-string syntax. This must + * NOT be rejected — it falls back to the TEXT-type assumption and routes to the full-text backend. + * Regression test for the {@code search}-command 500 (no {@code fields} MAP present). + */ + public void testFieldlessQueryStringIsAccepted() { + OpenSearchFilter result = runFilterWithDelegation( + "parquet", + Map.of("category", Map.of("type", "keyword", "index", true)), + new String[] { "category" }, + new SqlTypeName[] { SqlTypeName.VARCHAR }, + makeFieldlessFullTextCall(fullTextSqlFunction("QUERY_STRING"), "category:A") + ); + + AnnotatedPredicate predicate = (AnnotatedPredicate) result.getCondition(); + assertPredicateAnnotation(predicate, MockLuceneBackend.NAME); + } + + // ---- referencedFields-driven validation (Wave 4) ---- + + /** + * With a backend serializer that reports field references, a field named only inside the + * query string (no {@code fields} MAP) is now validated. The stub reports a literal {@code long} + * field with {@code lenient=false}, so the planner rejects it — coverage the old MAP-literal + * path missed (field-less queries previously fell back to the TEXT assumption and were accepted). + */ + public void testInStringLiteralNonTextRejectedViaExtractor() { + FieldReferences refs = new FieldReferences(List.of("severityNumber"), List.of(), false); + RelOptTable table = mockTable("test_index", new String[] { "severityNumber" }, new SqlTypeName[] { SqlTypeName.BIGINT }); + RexNode condition = makeFieldlessFullTextCall(fullTextSqlFunction("QUERY_STRING"), "severityNumber:>15"); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext("parquet", Map.of("severityNumber", Map.of("type", "long")), backendsWithExtractor(refs)); + + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); + assertTrue(exception.getMessage().contains("severityNumber")); + assertTrue(exception.getMessage().contains("text and keyword")); + } + + /** + * An explicit {@code lenient=true} (reported by the extractor) suppresses the eager type + * rejection. The query still fails — no backend supports {@code query_string} on a {@code long} + * field — but via the capability-viability path, not the friendly type-rejection. The distinct + * error proves the lenient gate skipped {@code rejectNonTextFieldsForTextFunction}. + */ + public void testLenientTrueSuppressesEagerRejectionViaExtractor() { + FieldReferences refs = new FieldReferences(List.of("severityNumber"), List.of(), true); + RelOptTable table = mockTable("test_index", new String[] { "severityNumber" }, new SqlTypeName[] { SqlTypeName.BIGINT }); + RexNode condition = makeFieldlessFullTextCall(fullTextSqlFunction("QUERY_STRING"), "severityNumber:>15"); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext("parquet", Map.of("severityNumber", Map.of("type", "long")), backendsWithExtractor(refs)); + + IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(filter, context)); + assertTrue( + "Should fail via viability, not eager rejection: " + exception.getMessage(), + exception.getMessage().contains("No backend can evaluate") + ); + assertFalse( + "Eager type-rejection must have been skipped: " + exception.getMessage(), + exception.getMessage().contains("text and keyword") + ); + } + + /** + * A field named only inside the query string that resolves to a {@code keyword} field is + * accepted via the extractor path and routes to the full-text backend — the extractor surfaces + * {@code category} as a literal, which the planner type-checks as keyword (valid). + */ + public void testInStringLiteralKeywordAcceptedViaExtractor() { + FieldReferences refs = new FieldReferences(List.of("category"), List.of(), false); + OpenSearchFilter result = runFilter( + "parquet", + Map.of("category", Map.of("type", "keyword", "index", true)), + new String[] { "category" }, + new SqlTypeName[] { SqlTypeName.VARCHAR }, + makeFieldlessFullTextCall(fullTextSqlFunction("QUERY_STRING"), "category:A"), + backendsWithExtractor(refs), + Set.of(MockDataFusionBackend.NAME) + ); + + AnnotatedPredicate predicate = (AnnotatedPredicate) result.getCondition(); + assertPredicateAnnotation(predicate, MockLuceneBackend.NAME); + } + + /** + * A literal field named in {@code query_string} that is absent from the scan's schema is an + * unknown field — rejected with a "field not found" error, matching how a normal predicate on an + * unknown field fails, rather than silently assuming TEXT and matching nothing. (Wildcard/regex + * tokens are classified as patterns and are unaffected — see + * {@link #testQueryStringWildcardFieldPatternIsAccepted}.) + */ + public void testQueryStringOnUnknownLiteralFieldIsRejected() { + RelOptTable table = mockTable("test_index", new String[] { "status" }, new SqlTypeName[] { SqlTypeName.VARCHAR }); + RexNode condition = makeMultiFieldFullTextCall(fullTextSqlFunction("QUERY_STRING"), List.of("nosuchfield"), "active"); + LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); + PlannerContext context = buildContext("parquet", Map.of("status", Map.of("type", "keyword", "index", true))); + + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); + assertTrue("Error must name the unknown field: " + exception.getMessage(), exception.getMessage().contains("nosuchfield")); + assertTrue("Error must say not found: " + exception.getMessage(), exception.getMessage().contains("not found")); + } + + /** + * A wildcard field pattern (e.g. {@code ser*}) is classified as a pattern, not a literal, so it + * is never type-checked or treated as an unknown field — it routes to the full-text backend and + * is expanded at execution. Guards the empty-literals fallback against the unknown-field rejection + * added in {@link #testQueryStringOnUnknownLiteralFieldIsRejected}. + */ + public void testQueryStringWildcardFieldPatternIsAccepted() { + OpenSearchFilter result = runFilterWithDelegation( + "parquet", + Map.of("status", Map.of("type", "keyword", "index", true)), + new String[] { "status" }, + new SqlTypeName[] { SqlTypeName.VARCHAR }, + makeMultiFieldFullTextCall(fullTextSqlFunction("QUERY_STRING"), List.of("ser*"), "active") + ); + + AnnotatedPredicate predicate = (AnnotatedPredicate) result.getCondition(); + assertPredicateAnnotation(predicate, MockLuceneBackend.NAME); + } + + /** + * DataFusion (FILTER delegation) + Lucene (accepts FILTER delegation, registers a stub + * {@link DelegatedPredicateSerializer} for {@code QUERY_STRING} whose {@code referencedFields} + * returns {@code refs}). + */ + private List backendsWithExtractor(FieldReferences refs) { + MockDataFusionBackend df = new MockDataFusionBackend() { + @Override + protected Set supportedDelegations() { + return Set.of(DelegationType.FILTER); + } + }; + MockLuceneBackend lucene = new MockLuceneBackend() { + @Override + protected Set acceptedDelegations() { + return Set.of(DelegationType.FILTER); + } + + @Override + public Map delegatedPredicateSerializers() { + DelegatedPredicateSerializer stub = new DelegatedPredicateSerializer() { + @Override + public byte[] serialize(RexCall call, List fieldStorage) { + throw new UnsupportedOperationException("stub"); + } + + @Override + public FieldReferences referencedFields(RexCall call, List fieldStorage) { + return refs; + } + }; + return Map.of(ScalarFunction.QUERY_STRING, stub); + } + }; + return List.of(df, lucene); + } + + /** + * Builds a multi-field full-text {@code RexCall} matching the shape that the SQL plugin + * lowers {@code query_string(['fieldName'], 'queryText')} into: + * 

      +     *   QUERY_STRING(
+     *     MAP('fields', MAP('fieldName':VARCHAR, 1.0:DOUBLE)),
+     *     MAP('query', 'queryText':VARCHAR)
+     *   )
+     *
      + */ + private RexNode makeMultiFieldFullTextCall(SqlFunction function, List fieldNames, String query) { + List innerMapOperands = new ArrayList<>(); + for (String fieldName : fieldNames) { + innerMapOperands.add(rexBuilder.makeLiteral(fieldName)); + innerMapOperands.add(rexBuilder.makeApproxLiteral(BigDecimal.valueOf(1.0))); + } + RexNode innerMap = rexBuilder.makeCall(SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, innerMapOperands); + RexNode fieldsMap = rexBuilder.makeCall(SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, rexBuilder.makeLiteral("fields"), innerMap); + RexNode queryMap = rexBuilder.makeCall( + SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, + rexBuilder.makeLiteral("query"), + rexBuilder.makeLiteral(query) + ); + return rexBuilder.makeCall(function, fieldsMap, queryMap); + } + + /** + * Builds a field-less full-text {@code RexCall} matching the shape the SQL plugin lowers + * {@code query_string('category:A')} (and the PPL {@code search} command's {@code category=A}) + * into: + * 
      +     *   QUERY_STRING(MAP('query', 'category:A':VARCHAR))
+     *
      + * There is no {@code fields} MAP — the field names live inside the query-string value itself. + */ + private RexNode makeFieldlessFullTextCall(SqlFunction function, String query) { + RexNode queryMap = rexBuilder.makeCall( + SqlStdOperatorTable.MAP_VALUE_CONSTRUCTOR, + rexBuilder.makeLiteral("query"), + rexBuilder.makeLiteral(query) + ); + return rexBuilder.makeCall(function, queryMap); + } + // ---- Derived columns ---- /** diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/MockLuceneBackend.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/MockLuceneBackend.java index 4529d206eae29..e7601d060fe6b 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/MockLuceneBackend.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/MockLuceneBackend.java @@ -8,16 +8,25 @@ package org.opensearch.analytics.planner; +import org.apache.calcite.rex.RexCall; +import org.apache.calcite.rex.RexLiteral; +import org.apache.calcite.rex.RexNode; +import org.opensearch.analytics.spi.DelegatedPredicateSerializer; import org.opensearch.analytics.spi.DelegatedSubtreeConvertor; +import org.opensearch.analytics.spi.FieldReferences; +import org.opensearch.analytics.spi.FieldStorageInfo; import org.opensearch.analytics.spi.FieldType; import org.opensearch.analytics.spi.FilterCapability; import org.opensearch.analytics.spi.ScalarFunction; +import org.opensearch.common.regex.Regex; import org.opensearch.index.engine.dataformat.ReaderManagerConfig; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.plugins.SearchBackEndPlugin; +import java.util.ArrayList; import java.util.HashSet; import java.util.List; +import java.util.Map; import java.util.Set; /** @@ -52,7 +61,8 @@ public class MockLuceneBackend extends MockBackend implements SearchBackEndPlugi ScalarFunction.MATCH_PHRASE, ScalarFunction.FUZZY, ScalarFunction.WILDCARD, - ScalarFunction.REGEXP + ScalarFunction.REGEXP, + ScalarFunction.QUERY_STRING ); private static final Set STANDARD_TYPES = new HashSet<>(); @@ -94,6 +104,80 @@ protected Set filterCapabilities() { return FILTER_CAPS; } + /** + * Default delegated-predicate serializers for the multi-field full-text functions. Their + * {@code referencedFields} mirrors the planner's pre-extractor behavior: literals come from the + * {@code fields} MAP, fan-out when empty, non-lenient. {@code serialize} is unused in planner + * tests. Tests needing in-string fields or explicit lenient override this. + */ + @Override + public Map delegatedPredicateSerializers() { + DelegatedPredicateSerializer mapLiteralSerializer = new DelegatedPredicateSerializer() { + @Override + public byte[] serialize(RexCall call, List fieldStorage) { + throw new UnsupportedOperationException("Mock backend does not serialize predicates"); + } + + @Override + public FieldReferences referencedFields(RexCall call, List fieldStorage) { + List literals = new ArrayList<>(); + List patterns = new ArrayList<>(); + for (String token : extractLiteralFieldNames(call)) { + if (Regex.isSimpleMatchPattern(token)) { + patterns.add(token); + } else { + literals.add(token); + } + } + return new FieldReferences(literals, patterns, false); + } + }; + return Map.of( + ScalarFunction.QUERY_STRING, + mapLiteralSerializer, + ScalarFunction.SIMPLE_QUERY_STRING, + mapLiteralSerializer, + ScalarFunction.MULTI_MATCH, + mapLiteralSerializer + ); + } + + /** + * Extracts literal field names from the {@code fields}/{@code field} MAP operand of a + * multi-field full-text {@code RexCall} — the field-name encoding the SQL plugin emits. Mirrors + * the planner's pre-extractor behavior so existing full-text tests keep their semantics. + */ + private static List extractLiteralFieldNames(RexCall predicate) { + List names = new ArrayList<>(); + for (RexNode operand : predicate.getOperands()) { + if (operand instanceof RexCall outerMap && outerMap.getOperands().size() >= 2) { + RexNode keyNode = outerMap.getOperands().get(0); + if (!(keyNode instanceof RexLiteral keyLit)) continue; + String key = keyLit.getValueAs(String.class); + if (!"fields".equals(key) && !"field".equals(key)) continue; + + RexNode valueNode = outerMap.getOperands().get(1); + if (valueNode instanceof RexCall nestedMap) { + List nestedOperands = nestedMap.getOperands(); + for (int i = 0; i + 1 < nestedOperands.size(); i += 2) { + if (nestedOperands.get(i) instanceof RexLiteral fieldLit) { + String fieldName = fieldLit.getValueAs(String.class); + if (fieldName != null && !fieldName.isEmpty()) { + names.add(fieldName); + } + } + } + } else if (valueNode instanceof RexLiteral valueLit) { + String fieldName = valueLit.getValueAs(String.class); + if (fieldName != null && !fieldName.isEmpty()) { + names.add(fieldName); + } + } + } + } + return names; + } + // ---- SearchBackEndPlugin (storage) ---- @Override diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TextRelevanceValidationIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TextRelevanceValidationIT.java new file mode 100644 index 0000000000000..f0ebbf5bed003 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TextRelevanceValidationIT.java @@ -0,0 +1,272 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.opensearch.client.ResponseException; + +import java.io.IOException; +import java.util.Map; + +/** + * Integration test for text-relevance field-type validation on the analytics-engine route. + * + *

      Multi-field text-relevance functions ({@code query_string}, {@code simple_query_string}, + * {@code multi_match}) may only be applied to {@code text}/{@code keyword} fields. The analytics + * planner rejects them on numeric/date fields at planning time with an actionable error rather + * than failing later in the pipeline (see {@code TextRelevanceFieldValidator}). These tests send + * real PPL queries through {@code POST /_plugins/_ppl} against the {@code otel_logs} dataset to + * verify the end-to-end behavior. + * + *

      Provisions the {@code otel_logs} dataset once per class via {@link DatasetProvisioner}; + * {@link AnalyticsRestTestCase#preserveIndicesUponCompletion()} keeps it across test methods. + */ +public class TextRelevanceValidationIT extends AnalyticsRestTestCase { + + private static final Dataset DATASET = OtelLogsTestHelper.DATASET; + + private static boolean dataProvisioned = false; + + /** + * Lazily provision the otel_logs dataset on first invocation. Same lazy-provision pattern as + * {@link WhereCommandIT} — {@code client()} is only reliably available inside a test body. + */ + @Override + protected void onBeforeQuery() throws IOException { + if (dataProvisioned == false) { + DatasetProvisioner.provision(client(), DATASET); + dataProvisioned = true; + } + } + + /** + * {@code query_string(['severityNumber'], ...)} on a {@code long} field is rejected at + * planning. The error body names the offending field and the supported types. + */ + public void testQueryStringOnNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['severityNumber'], 'severityNumber:>15')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * {@code query_string(['body'], 'GET')} on a {@code text} field plans and executes + * successfully — text fields are valid for text-relevance functions. + */ + public void testQueryStringOnTextFieldSucceeds() throws IOException { + assertSucceeds("source=" + DATASET.indexName + " | where query_string(['body'], 'GET')"); + } + + /** + * Same numeric-field rejection as {@link #testQueryStringOnNumericFieldIsRejected}, but driven + * through PPL's explicit {@code search} command form ({@code search source=... | where ...}). + * Confirms the field-type validation fires regardless of which command introduces the relation. + */ + public void testSearchCommandQueryStringOnNumericFieldIsRejected() { + String ppl = "search source=" + DATASET.indexName + " | where query_string(['severityNumber'], 'severityNumber:>15')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * {@code search source=... | where query_string(['body'], 'GET')} on a {@code text} field + * plans and executes successfully via the {@code search} command. + */ + public void testSearchCommandQueryStringOnTextFieldSucceeds() throws IOException { + assertSucceeds("search source=" + DATASET.indexName + " | where query_string(['body'], 'GET')"); + } + + /** + * A mixed explicit field list (text + numeric) is rejected because of the numeric field — every + * explicitly-named literal field must be text/keyword. The error names the offending field. + */ + public void testQueryStringMixedFieldsRejectsBecauseOfNumericField() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['body', 'severityNumber'], 'GET')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * A wildcard field pattern ({@code body*}) is a pattern token, not a literal: the planner passes + * it through unvalidated and the data node expands it at execution. So it is NOT rejected and the + * query runs. {@code body*} is chosen deliberately because it expands only to text-family fields + * ({@code body}, {@code body.keyword}); a pattern matching a numeric field could throw a runtime + * number-format error unrelated to this plan-time validation. The property under test is that a + * pattern token never triggers the text-relevance rejection. + */ + public void testQueryStringWildcardFieldPatternIsNotRejected() throws IOException { + assertSucceeds("source=" + DATASET.indexName + " | where query_string(['body*'], 'GET')"); + } + + /** + * With {@code lenient=true} the planner suppresses the eager text/keyword rejection, but no + * backend declares {@code query_string} capability over a numeric field, so backend selection + * still finds no viable backend and planning fails — now with the generic routing error + * ("No backend can evaluate") rather than the friendly "text and keyword" message. This confirms + * {@code lenient} changes the failure mode, not the outcome, for an explicitly-named non-text + * field: it cannot conjure a backend that can serve the field, so the query still cannot run. + */ + public void testQueryStringLenientTrueStillCannotRouteNumericField() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['severityNumber'], '15', lenient=true)"; + assertErrorContains(ppl, "No backend can evaluate"); + assertErrorContains(ppl, "severityNumber"); + } + + /** + * {@code simple_query_string(['severityNumber'], ...)} on a {@code long} field is rejected — + * exercises the SIMPLE_QUERY_STRING field-reference extractor path. + */ + public void testSimpleQueryStringOnNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where simple_query_string(['severityNumber'], 'error')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * {@code multi_match(['body','severityNumber'], ...)} with a numeric field is rejected — + * exercises the MULTI_MATCH field-reference extractor path. + */ + public void testMultiMatchOnNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where multi_match(['body', 'severityNumber'], 'error')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * In-string literal field reference: the {@code fields} list is a valid text field ({@code body}), + * but the query string names a numeric field ({@code severityNumber:15}). The extractor parses the + * query string and surfaces {@code severityNumber} as an explicit literal, so the planner rejects it. + * This isolates the in-string extraction path — {@code body} alone would not be rejected, so the + * rejection must come from the field named inside the query string. + */ + public void testQueryStringInStringNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['body'], 'severityNumber:15')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * In-string literal field with a regex value ({@code severityNumber:/1[0-9]/}). The regex applies to + * the value, not the field name — {@code severityNumber} is still a concrete literal field. So the + * planner must extract and reject it just like a non-regex in-string reference. Verifies that a regex + * value does not change literal-field classification. + */ + public void testQueryStringInStringRegexOnNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['body'], 'severityNumber:/1[0-9]/')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * Field-less literal non-text rejection (no explicit {@code fields} operand). PPL's {@code search} + * command lowers {@code severityNumber=15} to {@code query_string(MAP('query', 'severityNumber:15'))} + * — there is no {@code fields} list, so {@code severityNumber} is named only inside the query string. + * The extractor parses the query string, surfaces {@code severityNumber} as a concrete literal field, + * and the planner rejects it because it is a {@code long}. This is the field-less analogue of + * {@link #testQueryStringInStringNumericFieldIsRejected} and pins the rejection behind the + * {@code search}-command lowering path (the same path exercised by extensive-coverage Q92). + */ + public void testSearchCommandFieldlessLiteralNumericFieldIsRejected() { + String ppl = "search source=" + DATASET.indexName + " severityNumber=15"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * In-string wildcard field qualifier, written in the only syntactically valid form: the + * {@code *} is escaped ({@code serviceName\*:test}) so Lucene's classic grammar lexes the whole token + * as a single field name rather than a prefix term. (An unescaped {@code serviceName*:test} is not a + * field qualifier at all — the grammar only accepts a plain {@code TERM} or bare {@code *} before the + * {@code :} — so it fails to parse; see {@code QueryParser.Clause}.) The escaped field token still + * contains {@code *}, so {@link org.opensearch.common.regex.Regex#isSimpleMatchPattern} classifies it + * as a pattern, not a literal: the planner passes it through unvalidated (no text/keyword rejection — + * the property under test) and the data node expands it via {@code extractMultiFields} at execution. + * {@code serviceName*} expands only to text-family fields, so the query plans and executes successfully. + */ + public void testQueryStringInStringWildcardFieldIsNotRejected() throws IOException { + assertSucceeds("source=" + DATASET.indexName + " | where query_string(['body'], 'serviceName\\*:test')"); + } + + /** + * Escaped in-string wildcard field that also matches a numeric field ({@code severity\*} → {@code severityText} + * text + {@code severityNumber} long). Because the escaped field token contains {@code *} it is classified as + * a pattern, so it is passed through and never rejected — even though it spans a non-text field — and the + * query plans and executes successfully (the value {@code 15} is valid for both the text and numeric + * expansions). As above, the {@code *} must be escaped to be a valid field qualifier. + */ + public void testQueryStringInStringWildcardFieldSpanningNumericIsNotRejected() throws IOException { + assertSucceeds("source=" + DATASET.indexName + " | where query_string(['body'], 'severity\\*:15')"); + } + + /** + * In-string literal field with an integer fuzzy value ({@code severityNumber:15~2}). The + * {@code ~2} edit-distance applies to the value, not the field name — {@code severityNumber} is still a + * concrete literal field — and {@code ~2} (integer edit distance) is grammar the plan-time classic parser + * accepts, so the query string parses, {@code severityNumber} is surfaced as a literal, and the planner + * rejects it because it is a {@code long}. This is the fuzzy-value analogue of + * {@link #testQueryStringInStringRegexOnNumericFieldIsRejected}: a fuzzy operator on the value does not + * change literal-field classification. + */ + public void testQueryStringInStringFuzzyOnNumericFieldIsRejected() { + String ppl = "source=" + DATASET.indexName + " | where query_string(['body'], 'severityNumber:15~2')"; + assertErrorContains(ppl, "severityNumber"); + assertErrorContains(ppl, "text and keyword"); + } + + /** + * Graceful fallback for a query string the plan-time parser cannot parse. {@code GET~2.5} uses a + * fractional fuzzy similarity, which Lucene's classic {@link org.apache.lucene.queryparser.classic.QueryParser} + * no longer accepts, so {@code RelevanceFieldExtractor} fails to parse the whole string, logs a warning, and + * skips in-string field extraction (rather than failing the plan). Validation then relies solely on the + * explicit {@code fields} operand ({@code body}, a text field), which is valid — so the query is NOT rejected + * at planning and runs to completion (the authoritative parse happens at execution). This pins the + * best-effort fallback contract: an unparseable in-string body must not turn into a plan-time rejection. + */ + public void testQueryStringUnparseableInStringFallsBackToExplicitField() throws IOException { + assertSucceeds( + "source=" + DATASET.indexName + " | where query_string(['body'], 'severityNumber:15 OR GET~2.5') | stats count() as c" + ); + } + + /** + * Sends a PPL query expected to plan and execute successfully; asserts a non-null response that + * carries a result shape ({@code datarows} or {@code schema}). + */ + private void assertSucceeds(String ppl) throws IOException { + Map response = executePpl(ppl); + assertNotNull("Expected a non-null response for [" + ppl + "]", response); + assertTrue( + "Expected response to carry a result shape (datarows or schema): " + response, + response.containsKey("datarows") || response.containsKey("schema") + ); + } + + /** + * Send a PPL query expecting the planner to reject it; assert the error body contains + * {@code expectedSubstring}. + */ + private void assertErrorContains(String ppl, String expectedSubstring) { + try { + Map response = executePpl(ppl); + fail("Expected query to fail with [" + expectedSubstring + "] but got response: " + response); + } catch (ResponseException e) { + String body; + try { + body = org.apache.hc.core5.http.io.entity.EntityUtils.toString(e.getResponse().getEntity()); + } catch (Exception ioe) { + body = e.getMessage(); + } + assertTrue( + "Expected response body to contain [" + expectedSubstring + "] but was: " + body, + body.contains(expectedSubstring) + ); + } catch (IOException e) { + fail("Unexpected IOException: " + e); + } + } +} From dcb2d6e8a7a3a4b00dd5edd5a0d255e1fcea3f60 Mon Sep 17 00:00:00 2001 From: Tanvir Alam <93071696+cocosz@users.noreply.github.com> Date: Wed, 24 Jun 2026 18:41:09 +0530 Subject: [PATCH 38/94] Change default merge policy from TieredMergePolicy to LogByteSizeMergePolicy (#22277) Signed-off-by: Tanvir Alam Co-authored-by: Tanvir Alam --- .../org/opensearch/index/IndexSettings.java | 14 ++++- .../index/LogByteSizeMergePolicyProvider.java | 3 +- .../index/MergePolicySettingsTests.java | 53 +++++++++++++++++-- 3 files changed, 63 insertions(+), 7 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/IndexSettings.java b/server/src/main/java/org/opensearch/index/IndexSettings.java index 08d717ec20ef4..4f761d7d755a9 100644 --- a/server/src/main/java/org/opensearch/index/IndexSettings.java +++ b/server/src/main/java/org/opensearch/index/IndexSettings.java @@ -2051,15 +2051,17 @@ public MergePolicy getMergePolicy(boolean isTimeSeriesIndex) { IndexMergePolicy nodeMergePolicy = IndexMergePolicy.fromString(nodeScopedTimeSeriesIndexPolicy); switch (nodeMergePolicy) { case TIERED: - case DEFAULT_POLICY: mergePolicyProvider = tieredMergePolicyProvider; break; case LOG_BYTE_SIZE: mergePolicyProvider = logByteSizeMergePolicyProvider; break; + case DEFAULT_POLICY: + mergePolicyProvider = defaultMergePolicyProvider(); + break; } } else { - mergePolicyProvider = tieredMergePolicyProvider; + mergePolicyProvider = defaultMergePolicyProvider(); } break; } @@ -2071,6 +2073,14 @@ public MergePolicy getMergePolicy(boolean isTimeSeriesIndex) { return mergePolicyProvider.getMergePolicy(); } + /** + * Composite engine indexes default to {@link LogByteSizeMergePolicyProvider}; + * all other indexes default to {@link TieredMergePolicyProvider}. + */ + private MergePolicyProvider defaultMergePolicyProvider() { + return isPluggableDataFormatEnabled() ? logByteSizeMergePolicyProvider : tieredMergePolicyProvider; + } + public T getValue(Setting setting) { return scopedSettings.get(setting); } diff --git a/server/src/main/java/org/opensearch/index/LogByteSizeMergePolicyProvider.java b/server/src/main/java/org/opensearch/index/LogByteSizeMergePolicyProvider.java index 1b44f910ba51b..c69ac1fbd2e90 100644 --- a/server/src/main/java/org/opensearch/index/LogByteSizeMergePolicyProvider.java +++ b/server/src/main/java/org/opensearch/index/LogByteSizeMergePolicyProvider.java @@ -23,9 +23,8 @@ *

      * The LogByteSizeMergePolicy is an alternative merge policy primarily used here to optimize the merging of segments in scenarios * with index with timestamps. - * While the TieredMergePolicy is the default choice, the LogByteSizeMergePolicy can be configured + * For composite engine, we have LogByteSizeMergePolicy as the default choice while the TieredMergePolicy is the default choice for non-composite engine indexes, the LogByteSizeMergePolicy can be configured * as the default merge policy for time-index data using the index.datastream_merge.policy setting. - * *

      * Unlike the TieredMergePolicy, which prioritizes merging segments of equal sizes, the LogByteSizeMergePolicy * specializes in merging adjacent segments efficiently. diff --git a/server/src/test/java/org/opensearch/index/MergePolicySettingsTests.java b/server/src/test/java/org/opensearch/index/MergePolicySettingsTests.java index 32c4c048d77ba..6745ed57e228b 100644 --- a/server/src/test/java/org/opensearch/index/MergePolicySettingsTests.java +++ b/server/src/test/java/org/opensearch/index/MergePolicySettingsTests.java @@ -34,6 +34,7 @@ import org.apache.lucene.index.LogByteSizeMergePolicy; import org.apache.lucene.index.NoMergePolicy; import org.opensearch.common.settings.Settings; +import org.opensearch.common.util.FeatureFlags; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; import org.opensearch.core.index.shard.ShardId; @@ -106,20 +107,19 @@ public void testDefaultMergePolicy() throws IOException { public void testMergePolicyPrecedence() throws IOException { // 1. INDEX_MERGE_POLICY is not set - // assert defaults + // assert defaults to tiered for non-composite-engine indexes IndexSettings indexSettings = indexSettings(EMPTY_SETTINGS); assertTrue(indexSettings.getMergePolicy(false) instanceof OpenSearchTieredMergePolicy); assertTrue(indexSettings.getMergePolicy(true) instanceof OpenSearchTieredMergePolicy); // 1.1 node setting TIME_SERIES_INDEX_MERGE_POLICY is set as log_byte_size - // assert index policy is tiered whereas time series index policy is log_byte_size + // assert index policy is tiered (default, non-composite-engine) and time series index policy is log_byte_size Settings nodeSettings = Settings.builder() .put(IndexSettings.TIME_SERIES_INDEX_MERGE_POLICY.getKey(), IndexSettings.IndexMergePolicy.LOG_BYTE_SIZE.getValue()) .build(); indexSettings = new IndexSettings(newIndexMeta("test", Settings.EMPTY), nodeSettings); assertTrue(indexSettings.getMergePolicy(false) instanceof OpenSearchTieredMergePolicy); assertTrue(indexSettings.getMergePolicy(true) instanceof LogByteSizeMergePolicy); - // 1.2 node setting TIME_SERIES_INDEX_MERGE_POLICY is set as tiered // assert both index and time series index policy is tiered nodeSettings = Settings.builder() @@ -181,6 +181,53 @@ public void testMergePolicyPrecedence() throws IOException { } + /** + * When the pluggable data format (composite engine) is enabled on an index, the default merge policy + * should be LogByteSizeMergePolicy for both regular and time-series indexes. + */ + @OpenSearchTestCase.LockFeatureFlag(FeatureFlags.PLUGGABLE_DATAFORMAT_EXPERIMENTAL_FLAG) + public void testDefaultMergePolicyForCompositeEngineIndex() throws IOException { + Settings compositeEngineSettings = Settings.builder() + .put(IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.getKey(), true) + .build(); + + // no index-level merge policy set — should default to LBS for composite engine indexes + IndexSettings indexSettings = indexSettings(compositeEngineSettings); + assertTrue(indexSettings.isPluggableDataFormatEnabled()); + assertTrue(indexSettings.getMergePolicy(false) instanceof LogByteSizeMergePolicy); + assertTrue(indexSettings.getMergePolicy(true) instanceof LogByteSizeMergePolicy); + } + + @OpenSearchTestCase.LockFeatureFlag(FeatureFlags.PLUGGABLE_DATAFORMAT_EXPERIMENTAL_FLAG) + public void testExplicitTieredPolicyOverridesDefaultForCompositeEngineIndex() throws IOException { + Settings compositeEngineTieredSettings = Settings.builder() + .put(IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.getKey(), true) + .put(IndexSettings.INDEX_MERGE_POLICY.getKey(), IndexSettings.IndexMergePolicy.TIERED.getValue()) + .build(); + + // explicit tiered setting must be honored even for composite engine indexes + IndexSettings indexSettings = indexSettings(compositeEngineTieredSettings); + assertTrue(indexSettings.isPluggableDataFormatEnabled()); + assertTrue(indexSettings.getMergePolicy(false) instanceof OpenSearchTieredMergePolicy); + assertTrue(indexSettings.getMergePolicy(true) instanceof OpenSearchTieredMergePolicy); + } + + @OpenSearchTestCase.LockFeatureFlag(FeatureFlags.PLUGGABLE_DATAFORMAT_EXPERIMENTAL_FLAG) + public void testTimeSeriesNodeSettingTieredOverridesDefaultForCompositeEngineIndex() throws IOException { + Settings compositeEngineSettings = Settings.builder() + .put(IndexSettings.PLUGGABLE_DATAFORMAT_ENABLED_SETTING.getKey(), true) + .build(); + Settings nodeSettings = Settings.builder() + .put(IndexSettings.TIME_SERIES_INDEX_MERGE_POLICY.getKey(), IndexSettings.IndexMergePolicy.TIERED.getValue()) + .build(); + + // node sets tiered for time-series — must be honored even for composite engine indexes + IndexSettings indexSettings = new IndexSettings(newIndexMeta("test", compositeEngineSettings), nodeSettings); + assertTrue(indexSettings.isPluggableDataFormatEnabled()); + assertTrue(indexSettings.getMergePolicy(false) instanceof LogByteSizeMergePolicy); + assertTrue(indexSettings.getMergePolicy(true) instanceof OpenSearchTieredMergePolicy); + } + public void testInvalidMergePolicy() throws IOException { final Settings invalidSettings = Settings.builder().put(IndexSettings.INDEX_MERGE_POLICY.getKey(), "invalid").build(); From fc3096345ec703fbc0d34a6e3c4e56becb1f4792 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Wed, 24 Jun 2026 18:48:37 +0530 Subject: [PATCH 39/94] Remove over-engineered indexed-path tuning knobs (#22159) Also promote force_strategy to a dynamic cluster setting, drop the test-only force_pushdown override, and consolidate shared per-query setup into helper.rs. Signed-off-by: Arpit Bandejiya --- .../rust/src/api.rs | 199 +++++++------ .../rust/src/datafusion_query_config.rs | 187 ++---------- .../rust/src/ffm.rs | 8 +- .../rust/src/helper.rs | 185 ++++++++++++ .../rust/src/indexed_executor.rs | 115 +++---- .../rust/src/indexed_table/stream.rs | 83 +++--- .../rust/src/indexed_table/table_provider.rs | 8 +- .../tests_e2e/constant_predicate.rs | 2 +- .../tests_e2e/dynamic_filter_pushdown.rs | 1 - .../tests_e2e/fuzz/delegation.rs | 2 +- .../indexed_table/tests_e2e/fuzz/harness.rs | 20 +- .../rust/src/indexed_table/tests_e2e/mod.rs | 2 +- .../indexed_table/tests_e2e/multi_segment.rs | 10 +- .../indexed_table/tests_e2e/null_columns.rs | 2 +- .../indexed_table/tests_e2e/page_pruning.rs | 2 +- .../tests_e2e/qtf_fetch_phase.rs | 2 +- .../tests_e2e/row_id_emission.rs | 8 +- .../tests_e2e/row_id_strategies.rs | 12 +- .../indexed_table/tests_e2e/schema_drift.rs | 4 +- .../tests_e2e/sort_reverse_row_id.rs | 2 +- .../tests_e2e/streaming_at_scale.rs | 4 +- .../rust/src/lib.rs | 1 + .../rust/src/query_executor.rs | 186 ++---------- .../rust/src/session_context.rs | 16 +- .../DatafusionDynamicSettingsIT.java | 25 +- .../be/datafusion/DatafusionSettings.java | 281 +++++------------- .../opensearch/be/datafusion/GetService.java | 4 +- .../be/datafusion/WireConfigSnapshot.java | 160 +++------- .../DataFusionPluginSettingsTests.java | 11 +- .../DatafusionSettingsPropertyTests.java | 98 +----- .../datafusion/DatafusionSettingsTests.java | 138 ++++----- .../datafusion/WireConfigSnapshotTests.java | 85 +++--- 32 files changed, 703 insertions(+), 1160 deletions(-) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 06b9ff4a99a19..3897cf48d9519 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -47,7 +47,7 @@ use datafusion::common::DataFusionError; use datafusion::datasource::listing::ListingTableUrl; use datafusion::datasource::physical_plan::parquet::{ParquetAccessPlan, RowGroupAccess}; use datafusion::execution::disk_manager::{DiskManagerBuilder, DiskManagerMode}; -use datafusion::execution::memory_pool::TrackConsumersPool; +use datafusion::execution::memory_pool::{MemoryPool, TrackConsumersPool}; use datafusion::execution::runtime_env::RuntimeEnvBuilder; use datafusion::execution::cache::cache_manager::CacheManagerConfig; use datafusion::execution::RecordBatchStream; @@ -63,10 +63,16 @@ use roaring::RoaringBitmap; use crate::cancellation; use crate::cross_rt_stream::CrossRtStream; use crate::custom_cache_manager::CustomCacheManager; +use crate::datafusion_query_config::DatafusionQueryConfig; +use crate::helper::{build_query_runtime_env_with_store, new_query_tracking_context}; +use crate::indexed_executor::execute_indexed_query; use crate::local_executor::LocalSession; use crate::memory::{DynamicLimitHandle, DynamicLimitPool}; +use crate::memory_guard::{per_query_spill_budget, SpillBudget}; use crate::partition_stream::PartitionStreamSender; -use crate::query_tracker::{self, QueryTrackingContext}; +use crate::phantom_corrector::PhantomCorrector; +use crate::query_executor; +use crate::query_tracker::{self, QueryTrackingContext, QueryType}; use crate::runtime_manager::RuntimeManager; use crate::shard_table_provider::{ShardTableConfig, ShardTableProvider}; @@ -843,54 +849,23 @@ pub async unsafe fn execute_query( let runtime = &*(runtime_ptr as *const DataFusionRuntime); let cpu_executor = manager.cpu_executor(); - // Create per-query context — auto-registers in the global registry + // Create per-query context (auto-registers in the global registry) and extract + // its per-query memory pool overlaying the global pool. let global_pool = runtime.runtime_env.memory_pool.clone(); - let mut query_context = QueryTrackingContext::new(context_id, global_pool.clone(), query_tracker::QueryType::Shard); - - let query_memory_pool = query_context - .memory_pool() - .map(|p| p as Arc); - - // Check disk pressure: when spill is on and disk is dangerously low, reduce - // parallelism so each query produces less spill volume. When spill is off, disk - // health is irrelevant — there is no spill to throttle, so parallelism stays at - // the configured value. One statvfs call (~1µs) only on the enabled path. - let disk_capped_partitions = match crate::memory_guard::per_query_spill_budget() { - crate::memory_guard::SpillBudget::Critical => 1, - crate::memory_guard::SpillBudget::Disabled - | crate::memory_guard::SpillBudget::Available(_) => query_config.target_partitions, - }; + let (mut query_context, query_memory_pool) = new_query_tracking_context( + context_id, + global_pool.clone(), + QueryType::Shard, + ); - // Acquire memory budget: reserve phantom for untracked memory. - // Best-effort from cached metadata (zero I/O). If not cached, skip budget - // — first query warms the cache, subsequent queries benefit. - let (effective_config, phantom_corrector) = { - let mut cfg = query_config.clone(); - cfg.target_partitions = disk_capped_partitions; - let corrector = if let Some(budget) = try_acquire_budget_from_cache(shard_view, runtime, &global_pool, &cfg) { - cfg.target_partitions = budget.target_partitions; - cfg.batch_size = budget.batch_size; - let batches_in_pipeline = budget.target_partitions * 3 + 2; // partitions × multiplier + output channel(2) - let estimated_batch_bytes = if budget.phantom_bytes > 0 && batches_in_pipeline > 0 { - budget.phantom_bytes / batches_in_pipeline - } else { - cfg.batch_size * 100 // fallback - }; - let corrector = Arc::new(crate::phantom_corrector::PhantomCorrector::new_from_metadata( - budget.phantom_bytes, estimated_batch_bytes, batches_in_pipeline, - )); - query_context.set_phantom_reservation(budget.phantom_reservation); - Some(query_context.set_phantom_corrector(corrector)) - } else { - None - }; - (cfg, corrector) - }; + // Apply disk-pressure capping + memory budget, attaching phantom + // reservation/corrector to the query context. + let (effective_config, phantom_corrector) = + resolve_effective_config(shard_view, runtime, &global_pool, &query_config, &mut query_context); - // Peek at plan bytes for routing signals. - // - is_indexed: index_filter UDF present (indexed query path) - // - has_row_id: __row_id__ column requested (QTF query phase) - let (is_indexed, has_row_id) = inspect_plan_bytes(plan_bytes); + // Route to the indexed executor when the plan has an index_filter UDF or + // requests __row_id__ (QTF query phase); otherwise the ListingTable path. + let use_indexed = use_indexed_path(plan_bytes); // Register cancellation token. let token = query_tracker::get_cancellation_token(context_id); @@ -901,32 +876,19 @@ pub async unsafe fn execute_query( // in single-JVM test topologies where coordinator and data node share a gate. let query_future = async move { - // Routing logic: - // 1. Indexed query (has index_filter) → always indexed path - // 2. Has __row_id__ but not indexed (non-indexed + sort) → consult QueryStrategy - // - ListingTable → vanilla path with ShardTableProvider + ProjectRowIdOptimizer - // - IndexedPredicateOnly → indexed path (position-based row IDs) - // - None → vanilla path (no row ID computation) - // 3. Neither → vanilla path - // Engine-internal point lookups pass an empty plan, so is_indexed/has_row_id are both - // false and this naturally resolves to the vanilla ListingTable path. - let use_indexed = is_indexed - || (has_row_id && effective_config.query_strategy != crate::datafusion_query_config::QueryStrategy::ListingTable); - if use_indexed { - let qc = Arc::new(effective_config); - crate::indexed_executor::execute_indexed_query( + execute_indexed_query( plan_bytes.to_vec(), table_name.to_string(), shard_view, runtime, cpu_executor, query_memory_pool, - qc, + effective_config, context_id, ).await } else { - crate::query_executor::execute_query( + query_executor::execute_query( shard_view.table_path.clone(), shard_view.object_metas.clone(), table_name.to_string(), @@ -980,17 +942,17 @@ pub async unsafe fn fetch_by_row_ids( ) -> Result { use crate::indexed_table::row_selection::build_row_selection_with_min_skip_run; use crate::indexed_table::segment_info::build_segments; - use crate::query_executor::{build_query_runtime_env, store_url_from_table_path, wrap_stream_as_handle}; + use crate::query_executor::{store_url_from_table_path, wrap_stream_as_handle}; // ── 1. Build RuntimeEnv + SessionContext ── - let runtime_env = build_query_runtime_env(runtime, &shard_view.table_path, shard_view.object_metas.as_ref())?; - - // Register shard-specific object store on file:// scheme for this query. - runtime_env.register_object_store( - &url::Url::parse("file://").unwrap(), + let runtime_env = build_query_runtime_env_with_store( + runtime, + &shard_view.table_path, + shard_view.object_metas.as_ref(), Arc::clone(&shard_view.store), - ); + None, + )?; let mut config = SessionConfig::new(); config.options_mut().execution.parquet.pushdown_filters = true; @@ -1121,15 +1083,48 @@ pub async unsafe fn fetch_by_row_ids( Ok(wrap_stream_as_handle(df_stream, manager.cpu_executor(), runtime, context_id)) } -/// Inspect substrait plan bytes for routing signals. -/// Returns (has_index_filter, has_row_id). -fn inspect_plan_bytes(plan_bytes: &[u8]) -> (bool, bool) { +/// Resolve the dynamic spill limit based on available disk space. +/// Uses 80% of available space on the spill directory's filesystem. +/// Falls back to 8GB if disk space cannot be determined. +fn resolve_dynamic_spill_limit(spill_dir: &str) -> u64 { + const FRACTION: f64 = 0.80; + const FALLBACK: u64 = 8 * 1024 * 1024 * 1024; // 8GB + + let _ = std::fs::create_dir_all(spill_dir); + + match crate::memory_guard::available_disk_space(spill_dir) { + Some(available) => { + let limit = (available as f64 * FRACTION) as u64; + log::info!( + "Dynamic spill limit: {} bytes (80% of {} available on {})", + limit, available, spill_dir + ); + limit + } + None => { + log::warn!( + "Could not determine disk space for '{}', using fallback {}GB", + spill_dir, FALLBACK / (1024 * 1024 * 1024) + ); + FALLBACK + } + } +} + +/// Whether a shard query routes to the indexed executor (vs the ListingTable path), +/// decided by scanning the substrait plan bytes for two needles: the `index_filter` +/// UDF name and the `__row_id__` column name. Either one → indexed path. +/// +/// This is a cheap byte-substring scan, not a parse. A false positive on +/// `index_filter` takes the indexed path and then fails in `execute_indexed_query` +/// when `classify_filter` returns `None` (no automatic retry on the ListingTable +/// path) — unreachable in practice because the needle is not a valid DataFusion +/// identifier a plan would otherwise contain. +fn use_indexed_path(plan_bytes: &[u8]) -> bool { const INDEX_FILTER: &[u8] = b"index_filter"; const ROW_ID: &[u8] = crate::ROW_ID_COLUMN_NAME.as_bytes(); - ( - plan_bytes.windows(INDEX_FILTER.len()).any(|w| w == INDEX_FILTER), - plan_bytes.windows(ROW_ID.len()).any(|w| w == ROW_ID), - ) + plan_bytes.windows(INDEX_FILTER.len()).any(|w| w == INDEX_FILTER) + || plan_bytes.windows(ROW_ID.len()).any(|w| w == ROW_ID) } /// Best-effort budget acquisition from cached parquet metadata. @@ -1138,17 +1133,51 @@ fn inspect_plan_bytes(plan_bytes: &[u8]) -> (bool, bool) { /// If cached: extracts the schema + measured row bytes, acquires budget. /// If not cached: returns None (first query — skip budget, warm cache). /// Zero I/O in all cases. -/// Best-effort budget acquisition from cached parquet metadata. -/// -/// Looks up the first file's ParquetMetaData from the file metadata cache. -/// If cached: extracts the schema + measured row bytes, acquires budget. -/// If not cached: returns None (first query — skip budget, warm cache). -/// Zero I/O in all cases. +fn resolve_effective_config( + shard_view: &ShardView, + runtime: &DataFusionRuntime, + global_pool: &Arc, + query_config: &DatafusionQueryConfig, + query_context: &mut QueryTrackingContext, +) -> (Arc, Option>) { + // Disk pressure: when spill is on and disk is dangerously low, cap parallelism + // to 1 so each query produces less spill volume. When spill is off, disk health + // is irrelevant — no spill to throttle. One statvfs call (~1µs) only when enabled. + let disk_capped_partitions = match per_query_spill_budget() { + SpillBudget::Critical => 1, + SpillBudget::Disabled | SpillBudget::Available(_) => query_config.target_partitions, + }; + + // Acquire memory budget: reserve phantom for untracked memory. Best-effort from + // cached metadata (zero I/O); if not cached, skip budget (first query warms the + // cache, subsequent queries benefit). + let mut cfg = query_config.clone(); + cfg.target_partitions = disk_capped_partitions; + let corrector = if let Some(budget) = try_acquire_budget_from_cache(shard_view, runtime, global_pool, &cfg) { + cfg.target_partitions = budget.target_partitions; + cfg.batch_size = budget.batch_size; + let batches_in_pipeline = budget.target_partitions * 3 + 2; // partitions × multiplier + output channel(2) + let estimated_batch_bytes = if budget.phantom_bytes > 0 && batches_in_pipeline > 0 { + budget.phantom_bytes / batches_in_pipeline + } else { + cfg.batch_size * 100 // fallback + }; + let corrector = Arc::new(PhantomCorrector::new_from_metadata( + budget.phantom_bytes, estimated_batch_bytes, batches_in_pipeline, + )); + query_context.set_phantom_reservation(budget.phantom_reservation); + Some(query_context.set_phantom_corrector(corrector)) + } else { + None + }; + (Arc::new(cfg), corrector) +} + fn try_acquire_budget_from_cache( shard_view: &ShardView, runtime: &DataFusionRuntime, - pool: &Arc, - config: &crate::datafusion_query_config::DatafusionQueryConfig, + pool: &Arc, + config: &DatafusionQueryConfig, ) -> Option { use datafusion::execution::cache::CacheAccessor; use parquet::arrow::parquet_to_arrow_schema; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs index 0f819690ff380..d308d0f4e8dc5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs @@ -5,29 +5,8 @@ //! setup time and copied into hot-path fields — never dereferenced on a //! per-batch or per-row hot path. -use crate::indexed_table::eval::single_collector::CollectorCallStrategy; use crate::indexed_table::stream::FilterStrategy; -/// Selects which execution path computes shard-global row IDs. -/// -/// Selects which execution path computes shard-global row IDs. -/// `None` = no row ID computation (baseline — reads ___row_id as a regular column). -#[derive(Debug, Clone, Copy, PartialEq, Eq)] -pub enum QueryStrategy { - /// No row ID optimizer applied. ___row_id is read as a regular column - /// without any row_base addition. Returns local (per-file) row IDs only. - None, - /// ShardTableProvider + ProjectRowIdOptimizer. - /// Reads ___row_id from parquet, adds row_base via physical optimizer rewrite. - /// Produces shard-global absolute row IDs. - ListingTable, - /// Predicate-only mode in the indexed executor. - /// Uses indexed pipeline (segment partitioning, prefetch, PositionMap). - /// Does NOT read ___row_id from disk — computes from position: - /// global_base + rg.first_row + position_in_rg. Zero column I/O for row ID. - IndexedPredicateOnly, -} - /// Engine-internal point lookup driven through the normal `df_execute_query` /// entry point. When active, the Substrait `plan_ptr` is ignored and the plan /// is built natively via the DataFrame API with a single pushed-down filter on @@ -70,8 +49,8 @@ pub struct DatafusionQueryConfig { pub batch_size: usize, // Single query concurrency pub target_partitions: usize, - /// DataFusion's own decode-time predicate pushdown on the vanilla path. - pub parquet_pushdown_filters: bool, + /// DataFusion's own decode-time predicate pushdown on the ListingTable path. + pub listing_table_pushdown_filters: bool, // Indexed-only pub min_skip_run_default: usize, @@ -80,40 +59,14 @@ pub struct DatafusionQueryConfig { /// during decode (via `RowFilter` pushdown). Narrow row-granular /// selections benefit; block-granular ones don't. pub indexed_pushdown_filters: bool, + /// Optional override that pins the per-RG `min_skip_run` choice instead of + /// letting selectivity decide. Backed by the `datafusion.indexed.force_strategy` + /// cluster setting: `None` (wire `-1`) lets the selectivity heuristic run, + /// `RowSelection`/`BooleanMask` pin the choice node-wide. See + /// `IndexedStream::pick_min_skip_run`. pub force_strategy: Option, - pub force_pushdown: Option, pub cost_predicate: u32, pub cost_collector: u32, - /// Maximum number of Collector-leaf FFM calls issued in parallel per - /// RG prefetch. 1 = today's fully-sequential behaviour (lowest CPU, - /// fastest short-circuit). `target_partitions × max_collector_parallelism` - /// bounds total concurrent Lucene threads; default is 1 - /// - /// At higher values, short-circuit savings in AND/OR groups are - /// sacrificed (see `BitmapTreeEvaluator::prefetch`): collectors - /// beyond the first may run even if their result is not needed. - pub max_collector_parallelism: usize, - /// How the SingleCollectorEvaluator narrows collector doc ranges - /// relative to page-pruning results. `PageRangeSplit` is the default - /// — only one collector, so multiple FFM calls per RG is acceptable. - pub single_collector_strategy: CollectorCallStrategy, - /// How the bitmap tree evaluator narrows collector doc ranges. - /// `TightenOuterBounds` is the default — multiple collectors in the - /// tree means `PageRangeSplit` would multiply FFM calls. - pub tree_collector_strategy: CollectorCallStrategy, - /// Strategy for row ID emission on the vanilla path. - /// Only consulted when the plan requests row IDs (contains _global_row_id() UDF - /// or projects ___row_id). - pub query_strategy: QueryStrategy, - /// Whether to use bloom filters for row group pruning on the indexed read path. - pub bloom_filter_on_read: bool, - /// Whether to accept and apply runtime dynamic filters (TopK / join) - /// pushed into the indexed scan via physical filter pushdown, pruning row - /// groups whose parquet statistics cannot satisfy the tightening predicate. - /// Off → `QueryShardExec` declines the pushdown (parent keeps its - /// `FilterExec`), so behaviour is identical to before this feature. Exposed - /// as a toggle to A/B the performance impact. - pub indexed_dynamic_filter_pushdown: bool, } /// FFM wire format. Must stay in lockstep with the Java `MemoryLayout`. @@ -129,26 +82,14 @@ pub struct WireDatafusionQueryConfig { pub min_skip_run_default: i64, pub min_skip_run_selectivity_threshold: f64, /// 0 = false, 1 = true - pub parquet_pushdown_filters: i32, + pub listing_table_pushdown_filters: i32, /// 0 = false, 1 = true pub indexed_pushdown_filters: i32, - /// -1 = None, 0 = RowSelection, 1 = BooleanMask + /// -1 = None, 0 = RowSelection, 1 = BooleanMask. + /// Backed by the `datafusion.indexed.force_strategy` cluster setting. pub force_strategy: i32, - /// -1 = None, 0 = false, 1 = true - pub force_pushdown: i32, pub cost_predicate: i32, pub cost_collector: i32, - pub max_collector_parallelism: i32, - /// 0 = FullRange, 1 = TightenOuterBounds, 2 = PageRangeSplit - pub single_collector_strategy: i32, - /// 0 = FullRange, 1 = TightenOuterBounds, 2 = PageRangeSplit - pub tree_collector_strategy: i32, - /// 0 = None (baseline), 1 = ListingTable, 2 = IndexedPredicateOnly - pub query_strategy: i32, - /// 0 = false, 1 = true - pub bloom_filter_on_read: i32, - /// 0 = false, 1 = true - pub indexed_dynamic_filter_pushdown: i32, } impl DatafusionQueryConfig { @@ -160,22 +101,13 @@ impl DatafusionQueryConfig { Self { batch_size: 8192, target_partitions: 4, - parquet_pushdown_filters: false, + listing_table_pushdown_filters: false, min_skip_run_default: 1024, min_skip_run_selectivity_threshold: 0.03, indexed_pushdown_filters: true, force_strategy: None, - force_pushdown: None, cost_predicate: 1, cost_collector: 10, - max_collector_parallelism: 1, - single_collector_strategy: CollectorCallStrategy::PageRangeSplit, - tree_collector_strategy: CollectorCallStrategy::TightenOuterBounds, - query_strategy: QueryStrategy::None, - bloom_filter_on_read: true, - // On by default — matches the Java cluster-setting default - // (`datafusion.indexed.dynamic_filter_pushdown`). Toggle to A/B perf. - indexed_dynamic_filter_pushdown: true, } } @@ -209,45 +141,22 @@ impl DatafusionQueryConfig { } fn from_wire(w: &WireDatafusionQueryConfig) -> Self { - let force_strategy = match w.force_strategy { - 0 => Some(FilterStrategy::RowSelection), - 1 => Some(FilterStrategy::BooleanMask), - _ => None, - }; - let force_pushdown = match w.force_pushdown { - 0 => Some(false), - 1 => Some(true), - _ => None, - }; Self { batch_size: w.batch_size as usize, target_partitions: w.target_partitions as usize, - parquet_pushdown_filters: w.parquet_pushdown_filters != 0, + listing_table_pushdown_filters: w.listing_table_pushdown_filters != 0, min_skip_run_default: w.min_skip_run_default as usize, min_skip_run_selectivity_threshold: w.min_skip_run_selectivity_threshold, indexed_pushdown_filters: w.indexed_pushdown_filters != 0, - force_strategy, - force_pushdown, + // `force_strategy` is backed by a cluster setting; `-1` means None + // (selectivity heuristic decides). + force_strategy: match w.force_strategy { + 0 => Some(FilterStrategy::RowSelection), + 1 => Some(FilterStrategy::BooleanMask), + _ => None, + }, cost_predicate: w.cost_predicate as u32, cost_collector: w.cost_collector as u32, - max_collector_parallelism: (w.max_collector_parallelism as usize).max(1), - single_collector_strategy: match w.single_collector_strategy { - 0 => CollectorCallStrategy::FullRange, - 1 => CollectorCallStrategy::TightenOuterBounds, - _ => CollectorCallStrategy::PageRangeSplit, - }, - tree_collector_strategy: match w.tree_collector_strategy { - 0 => CollectorCallStrategy::FullRange, - 2 => CollectorCallStrategy::PageRangeSplit, - _ => CollectorCallStrategy::TightenOuterBounds, - }, - query_strategy: match w.query_strategy { - 1 => QueryStrategy::ListingTable, - 2 => QueryStrategy::IndexedPredicateOnly, - _ => QueryStrategy::None, - }, - bloom_filter_on_read: w.bloom_filter_on_read != 0, - indexed_dynamic_filter_pushdown: w.indexed_dynamic_filter_pushdown != 0, } } } @@ -268,8 +177,8 @@ impl DatafusionQueryConfigBuilder { self.0.target_partitions = v; self } - pub fn parquet_pushdown_filters(mut self, v: bool) -> Self { - self.0.parquet_pushdown_filters = v; + pub fn listing_table_pushdown_filters(mut self, v: bool) -> Self { + self.0.listing_table_pushdown_filters = v; self } pub fn min_skip_run_default(mut self, v: usize) -> Self { @@ -288,10 +197,6 @@ impl DatafusionQueryConfigBuilder { self.0.force_strategy = v; self } - pub fn force_pushdown(mut self, v: Option) -> Self { - self.0.force_pushdown = v; - self - } pub fn cost_predicate(mut self, v: u32) -> Self { self.0.cost_predicate = v; self @@ -300,26 +205,6 @@ impl DatafusionQueryConfigBuilder { self.0.cost_collector = v; self } - pub fn max_collector_parallelism(mut self, v: usize) -> Self { - self.0.max_collector_parallelism = v; - self - } - pub fn single_collector_strategy(mut self, v: CollectorCallStrategy) -> Self { - self.0.single_collector_strategy = v; - self - } - pub fn tree_collector_strategy(mut self, v: CollectorCallStrategy) -> Self { - self.0.tree_collector_strategy = v; - self - } - pub fn bloom_filter_on_read(mut self, v: bool) -> Self { - self.0.bloom_filter_on_read = v; - self - } - pub fn indexed_dynamic_filter_pushdown(mut self, v: bool) -> Self { - self.0.indexed_dynamic_filter_pushdown = v; - self - } pub fn build(self) -> DatafusionQueryConfig { self.0 } @@ -334,15 +219,13 @@ mod tests { let c = DatafusionQueryConfig::test_default(); assert_eq!(c.batch_size, 8192); assert_eq!(c.target_partitions, 4); - assert!(!c.parquet_pushdown_filters); + assert!(!c.listing_table_pushdown_filters); assert_eq!(c.min_skip_run_default, 1024); assert!((c.min_skip_run_selectivity_threshold - 0.03).abs() < 1e-9); assert!(c.indexed_pushdown_filters); assert_eq!(c.force_strategy, None); - assert_eq!(c.force_pushdown, None); assert_eq!(c.cost_predicate, 1); assert_eq!(c.cost_collector, 10); - assert!(c.indexed_dynamic_filter_pushdown); } #[test] @@ -370,33 +253,23 @@ mod tests { target_partitions: 8, min_skip_run_default: 512, min_skip_run_selectivity_threshold: 0.07, - parquet_pushdown_filters: 1, + listing_table_pushdown_filters: 1, indexed_pushdown_filters: 0, force_strategy: 1, - force_pushdown: 0, cost_predicate: 3, cost_collector: 17, - max_collector_parallelism: 4, - single_collector_strategy: 2, - tree_collector_strategy: 1, - query_strategy: 1, - bloom_filter_on_read: 1, - indexed_dynamic_filter_pushdown: 1, }; let ptr = &wire as *const _ as i64; let c = unsafe { DatafusionQueryConfig::from_ffm_ptr(ptr) }; assert_eq!(c.batch_size, 16384); - assert!(c.indexed_dynamic_filter_pushdown); assert_eq!(c.target_partitions, 8); assert_eq!(c.min_skip_run_default, 512); assert!((c.min_skip_run_selectivity_threshold - 0.07).abs() < 1e-9); - assert!(c.parquet_pushdown_filters); + assert!(c.listing_table_pushdown_filters); assert!(!c.indexed_pushdown_filters); assert_eq!(c.force_strategy, Some(FilterStrategy::BooleanMask)); - assert_eq!(c.force_pushdown, Some(false)); assert_eq!(c.cost_predicate, 3); assert_eq!(c.cost_collector, 17); - assert_eq!(c.query_strategy, QueryStrategy::ListingTable); } #[test] @@ -406,24 +279,14 @@ mod tests { target_partitions: 4, min_skip_run_default: 1024, min_skip_run_selectivity_threshold: 0.03, - parquet_pushdown_filters: 0, + listing_table_pushdown_filters: 0, indexed_pushdown_filters: 1, force_strategy: -1, - force_pushdown: -1, cost_predicate: 1, cost_collector: 10, - max_collector_parallelism: 2, - single_collector_strategy: 2, - tree_collector_strategy: 1, - query_strategy: 0, - bloom_filter_on_read: 0, - indexed_dynamic_filter_pushdown: 0, }; let ptr = &wire as *const _ as i64; let c = unsafe { DatafusionQueryConfig::from_ffm_ptr(ptr) }; assert_eq!(c.force_strategy, None); - assert!(!c.indexed_dynamic_filter_pushdown); - assert_eq!(c.force_pushdown, None); - assert_eq!(c.query_strategy, QueryStrategy::None); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index e6578cc74bef3..3bc8f3cc02745 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -1129,14 +1129,12 @@ pub unsafe extern "C" fn df_execute_with_context( let mgr_for_spawn = Arc::clone(&mgr); // Route based on whether the session was configured for indexed execution, - // or if the plan projects __row_id__ (QTF query phase) under a non-ListingTable - // fetch strategy. + // or if the plan projects __row_id__ (QTF query phase). QTF row-id computation + // always runs in the indexed executor. let has_row_id = plan_bytes .windows(crate::ROW_ID_COLUMN_NAME.len()) .any(|w| w == crate::ROW_ID_COLUMN_NAME.as_bytes()); - let query_strategy = session_handle.query_config.query_strategy; - let use_indexed = session_handle.indexed_config.is_some() - || (has_row_id && query_strategy != crate::datafusion_query_config::QueryStrategy::ListingTable); + let use_indexed = session_handle.indexed_config.is_some() || has_row_id; if use_indexed { // Extract target_partitions BEFORE boxing into raw pointer (session_handle is consumed). let partition_weight = session_handle.query_config.target_partitions.max(1) as u32; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs new file mode 100644 index 0000000000000..908e0ea4e265f --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs @@ -0,0 +1,185 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Small shared helpers for the query execution paths. + +use std::sync::Arc; + +use datafusion::common::DataFusionError; +use datafusion::datasource::file_format::parquet::ParquetFormat; +use datafusion::datasource::listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl}; +use datafusion::execution::context::SessionContext; +use datafusion::execution::memory_pool::MemoryPool; +use datafusion::execution::runtime_env::{RuntimeEnv, RuntimeEnvBuilder}; +use datafusion::execution::session_state::SessionStateBuilder; +use datafusion::prelude::SessionConfig; +use log::error; +use object_store::{ObjectMeta, ObjectStore}; + +use crate::agg_mode::physical_optimizer_rules_without_combine; +use crate::api::DataFusionRuntime; +use crate::datafusion_query_config::DatafusionQueryConfig; +use crate::indexed_table::substrait_to_tree::{create_delegation_possible_udf, create_index_filter_udf}; +use crate::query_executor::build_query_runtime_env; +use crate::query_tracker::{QueryTrackingContext, QueryType}; +use crate::schema_coerce::coerce_inferred_schema; +use crate::session_context::build_file_sort_order; +use crate::udaf; +use crate::udf; + +/// Creates a per-query [`QueryTrackingContext`] (auto-registered in the global +/// registry) and extracts its per-query memory pool as a `dyn MemoryPool`. +/// +/// The returned pool is `Some` only when tracking is active; pass it to the +/// executor so the query's allocations are charged against a pool that wraps +/// `global_pool` (global limits stay enforced). Returns the context too so the +/// caller can attach phantom reservations/correctors before execution. +pub fn new_query_tracking_context( + context_id: i64, + global_pool: Arc, + query_type: QueryType, +) -> (QueryTrackingContext, Option>) { + let query_context = QueryTrackingContext::new(context_id, global_pool, query_type); + let query_memory_pool = query_context.memory_pool().map(|p| p as Arc); + (query_context, query_memory_pool) +} + +/// Builds the per-query `RuntimeEnv` and registers the shard-specific object store. +/// +/// Combines the three steps every query-execution entry point shares: +/// 1. Build a per-query `RuntimeEnv` with the list-files cache pre-populated for +/// `table_path` / `object_metas` (via [`build_query_runtime_env`]). +/// 2. If `query_memory_pool` is `Some`, rebuild the env with that pool overlaid. +/// The per-query pool wraps the global pool, so global limits stay enforced. +/// 3. Register `shard_store` on the `file://` scheme so this query's reads route +/// through `TieredObjectStore` (local + remote) or the default `LocalFileSystem`. +pub fn build_query_runtime_env_with_store( + runtime: &DataFusionRuntime, + table_path: &ListingTableUrl, + object_metas: &[ObjectMeta], + shard_store: Arc, + query_memory_pool: Option>, +) -> Result, DataFusionError> { + // Build per-query RuntimeEnv with list-files cache pre-populated. + let runtime_env = build_query_runtime_env(runtime, table_path, object_metas)?; + + // If a per-query memory pool is provided, rebuild with it overlaid. + // The per-query pool wraps the global pool, so global limits are still enforced. + let runtime_env = if let Some(pool) = query_memory_pool { + Arc::from( + RuntimeEnvBuilder::from_runtime_env(&runtime_env) + .with_memory_pool(pool) + .build() + .map_err(|e| { + error!("Failed to build runtime env with query pool: {}", e); + e + })?, + ) + } else { + runtime_env + }; + + // Register shard-specific object store on file:// scheme for this query. + // Routes reads through TieredObjectStore (local + remote) or default LocalFileSystem. + runtime_env.register_object_store(&url::Url::parse("file://").unwrap(), shard_store); + + Ok(runtime_env) +} + +/// Registers a standard DataFusion `ListingTable` for `table_path` under +/// `table_name` so the substrait consumer can resolve the table. +/// +/// Shared by the vanilla and indexed execution paths. Infers + coerces the +/// schema, and — when `sort_fields`/`sort_orders` describe an `index.sort.field` +/// — declares the per-file sort order to DataFusion (see +/// [`build_file_sort_order`] for what that buys and its case/nulls caveats). +/// Pass empty slices to skip the sort-order declaration. +pub async fn register_listing_table( + ctx: &SessionContext, + table_name: &str, + table_path: ListingTableUrl, + sort_fields: &[String], + sort_orders: &[String], +) -> Result<(), DataFusionError> { + let mut listing_options = ListingOptions::new(Arc::new(ParquetFormat::new())) + .with_file_extension(".parquet") + .with_collect_stat(true); + if let Some(sort_exprs) = build_file_sort_order(sort_fields, sort_orders) { + listing_options = listing_options.with_file_sort_order(vec![sort_exprs]); + } + + let resolved_schema = listing_options + .infer_schema(&ctx.state(), &table_path) + .await + .map_err(|e| { + error!("Failed to infer schema: {}", e); + e + })?; + let resolved_schema = coerce_inferred_schema(resolved_schema); + + let table_config = ListingTableConfig::new(table_path) + .with_listing_options(listing_options) + .with_schema(resolved_schema); + let provider = Arc::new(ListingTable::try_new(table_config).map_err(|e| { + error!("Failed to create listing table: {}", e); + e + })?); + ctx.register_table(table_name, provider).map_err(|e| { + error!("Failed to register listing table: {}", e); + e + })?; + Ok(()) +} + +/// Builds a per-query [`SessionContext`] shared by the vanilla and indexed paths. +/// +/// Sets the common execution options (parquet pushdown, target partitions, batch +/// size) from `query_config`, installs `runtime_env`, and registers the base +/// scalar/aggregate UDFs. +/// +/// `target_partitions` is passed explicitly because the paths differ: the vanilla +/// path uses `query_config.target_partitions`, while the indexed path fans out via +/// its own IndexedExec partitions and only needs a sane value here for any +/// post-scan operators. +/// +/// When `indexed_path` is true, the context is built for the indexed executor: +/// the physical optimizer drops the combine-partial-final pass, and the indexed +/// `index_filter` / `delegation_possible` UDFs are registered on top of the base +/// UDFs. When false, the vanilla path's defaults are used. +pub fn build_query_session_context( + query_config: &DatafusionQueryConfig, + runtime_env: Arc, + target_partitions: usize, + indexed_path: bool, +) -> SessionContext { + let mut config = SessionConfig::new(); + config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; + config.options_mut().execution.target_partitions = target_partitions.max(1); + config.options_mut().execution.batch_size = query_config.batch_size; + + let mut builder = SessionStateBuilder::new() + .with_config(config) + .with_runtime_env(runtime_env) + .with_default_features(); + if indexed_path { + // Indexed executor drives partial/final aggregation itself; drop the + // combine-partial-final physical optimizer pass. + builder = builder.with_physical_optimizer_rules(physical_optimizer_rules_without_combine()); + } + let state = builder.build(); + + let ctx = SessionContext::new_with_state(state); + udf::register_all(&ctx); + udaf::register_all(&ctx); + if indexed_path { + // Indexed-path-only UDFs, on top of the base UDFs above. + ctx.register_udf(create_index_filter_udf()); + ctx.register_udf(create_delegation_possible_udf()); + } + ctx +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index cf133e049efc4..ce44abc777574 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -25,16 +25,11 @@ use native_bridge_common::log_debug; use datafusion::{ physical_plan::displayable, physical_plan::execute_stream, - execution::SessionStateBuilder, - execution::context::SessionContext, common::DataFusionError, - prelude::*, arrow::datatypes::SchemaRef, catalog::Session, common::tree_node::{TreeNode, TreeNodeRecursion}, datasource::{TableProvider, TableType}, - execution::cache::cache_manager::CachedFileList, - execution::cache::{CacheAccessor, DefaultListFilesCache, TableScopedPath}, execution::memory_pool::MemoryPool, execution::object_store::ObjectStoreUrl, logical_expr::Expr, @@ -51,6 +46,7 @@ use substrait::proto::Plan; use crate::api::DataFusionRuntime; use crate::cross_rt_stream::CrossRtStream; use crate::executor::DedicatedExecutor; +use crate::helper::{build_query_runtime_env_with_store, build_query_session_context, register_listing_table}; use crate::indexed_table::bool_tree::BoolNode; use crate::indexed_table::eval::bitmap_tree::{BitmapTreeEvaluator, CollectorLeafBitmaps}; use crate::indexed_table::eval::single_collector::SingleCollectorEvaluator; @@ -60,8 +56,7 @@ use crate::indexed_table::index::RowGroupDocsCollector; use crate::indexed_table::page_pruner::PagePruner; use crate::indexed_table::segment_info::build_segments; use crate::indexed_table::substrait_to_tree::{ - classify_filter, create_index_filter_udf, expr_to_bool_tree, - extract_filter_expr, ExtractionResult, FilterClass, + classify_filter, expr_to_bool_tree, extract_filter_expr, ExtractionResult, FilterClass, }; use crate::indexed_table::table_provider::{ EvaluatorFactory, IndexedTableConfig, IndexedTableProvider, SegmentFileInfo, @@ -99,63 +94,29 @@ pub async fn execute_indexed_query( context_id: i64, ) -> Result { let num_partitions = query_config.target_partitions.max(1); - // Share caches with the global runtime (same as vanilla path): list-files - // pre-populated with the reader's object_metas, file-metadata and - // file-statistics inherited from the global runtime for cross-query reuse. - let list_file_cache = Arc::new(DefaultListFilesCache::default()); - let table_scoped_path = TableScopedPath { - table: None, - path: shard_view.table_path.prefix().clone(), - }; - list_file_cache.put(&table_scoped_path, CachedFileList::new(shard_view.object_metas.as_ref().clone())); + // Build the per-query RuntimeEnv (list-files cache pre-populated, optional + // per-query pool overlay) and register the shard object store — shared with + // the vanilla path. File-metadata and file-statistics caches are inherited + // from the global runtime for cross-query reuse. + let runtime_env = build_query_runtime_env_with_store( + runtime, + &shard_view.table_path, + shard_view.object_metas.as_ref(), + Arc::clone(&shard_view.store), + query_memory_pool, + )?; - let mut runtime_env_builder = crate::query_executor::query_runtime_env_builder(runtime, list_file_cache); - if let Some(pool) = query_memory_pool { - runtime_env_builder = runtime_env_builder.with_memory_pool(pool); - } - let runtime_env = runtime_env_builder - .build() - .map_err(|e| DataFusionError::Execution(format!("runtime env: {}", e)))?; + // Build a fresh session context per query. The indexed path fans out via + // IndexedExec partitions (derived from num_partitions), not DataFusion's, but + // DF still wants a sane value for any post-scan operators it may add. The + // `indexed_path` flag also drops the combine-partial-final optimizer pass and + // registers the indexed-only index_filter / delegation_possible UDFs. + let ctx = build_query_session_context(&query_config, runtime_env, num_partitions, true); - // Register shard-specific object store on file:// scheme for this query. - runtime_env.register_object_store( - &url::Url::parse("file://").unwrap(), - Arc::clone(&shard_view.store), - ); - - let mut config = SessionConfig::new(); - config.options_mut().execution.parquet.pushdown_filters = query_config.parquet_pushdown_filters; - // Indexed path fans out via IndexedExec partitions (derived from - // num_partitions), not DataFusion's. But DF wants a sane value here - // for any post-scan operators it may add. - config.options_mut().execution.target_partitions = num_partitions.max(1); - config.options_mut().execution.batch_size = query_config.batch_size; - let state = SessionStateBuilder::new() - .with_config(config) - .with_runtime_env(Arc::from(runtime_env)) - .with_default_features() - .with_physical_optimizer_rules(crate::agg_mode::physical_optimizer_rules_without_combine()) - .build(); - let ctx = SessionContext::new_with_state(state); - ctx.register_udf(create_index_filter_udf()); - ctx.register_udf(crate::indexed_table::substrait_to_tree::create_delegation_possible_udf()); - crate::udf::register_all(&ctx); - crate::udaf::register_all(&ctx); - - // Register default ListingTable so substrait consumer can resolve the table - let listing_options = datafusion::datasource::listing::ListingOptions::new( - Arc::new(datafusion::datasource::file_format::parquet::ParquetFormat::new())) - .with_file_extension(".parquet") - .with_collect_stat(true); - let resolved_schema = listing_options - .infer_schema(&ctx.state(), &shard_view.table_path) - .await?; - let resolved_schema = crate::schema_coerce::coerce_inferred_schema(resolved_schema); - let table_config = datafusion::datasource::listing::ListingTableConfig::new(shard_view.table_path.clone()) - .with_listing_options(listing_options) - .with_schema(resolved_schema); - let provider = Arc::new(datafusion::datasource::listing::ListingTable::try_new(table_config)?); - ctx.register_table(&table_name, provider)?; + // Register default ListingTable so substrait consumer can resolve the table. + // No sort-order declaration on the indexed path (empty slices) — the indexed + // executor drives ordering itself via IndexedExec. + register_listing_table(&ctx, &table_name, shard_view.table_path.clone(), &[], &[]).await?; // Build SessionContextHandle and delegate to execute_indexed_with_context let handle = crate::session_context::SessionContextHandle { @@ -1137,10 +1098,9 @@ async unsafe fn execute_indexed_with_context_inner( .as_ref() .and_then(|expr| build_pruning_predicate(expr, Arc::clone(&schema_for_pruner))); - let call_strategy = query_config.single_collector_strategy; + let call_strategy = CollectorCallStrategy::PageRangeSplit; let bloom_store = Arc::clone(&store); let bloom_schema = schema.clone(); - let bloom_on_read = query_config.bloom_filter_on_read; Arc::new( move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { let collector_opt: Option> = match &correctness_provider { @@ -1171,19 +1131,16 @@ async unsafe fn execute_indexed_with_context_inner( &schema_for_pruner, Arc::clone(&segment.metadata), )); - let bloom_config = if bloom_on_read { - Some(crate::indexed_table::eval::single_collector::BloomConfig { - store: Arc::clone(&bloom_store), - object_path: segment.object_path.clone(), - metadata: Arc::clone(&segment.metadata), - arrow_schema: Arc::clone(&bloom_schema), - io_handle: io_handle.clone(), - rg_bloom_pruned: stream_metrics.rg_bloom_pruned.clone(), - bloom_filter_eval_time: stream_metrics.bloom_filter_eval_time.clone(), - }) - } else { - None - }; + // Bloom-filter row-group pruning is always enabled on the indexed read path. + let bloom_config = Some(crate::indexed_table::eval::single_collector::BloomConfig { + store: Arc::clone(&bloom_store), + object_path: segment.object_path.clone(), + metadata: Arc::clone(&segment.metadata), + arrow_schema: Arc::clone(&bloom_schema), + io_handle: io_handle.clone(), + rg_bloom_pruned: stream_metrics.rg_bloom_pruned.clone(), + bloom_filter_eval_time: stream_metrics.bloom_filter_eval_time.clone(), + }); let eval: Arc = Arc::new(SingleCollectorEvaluator::new( collector_opt, @@ -1229,8 +1186,8 @@ async unsafe fn execute_indexed_with_context_inner( let schema_for_pruner = schema.clone(); let cost_predicate = query_config.cost_predicate; let cost_collector = query_config.cost_collector; - let max_collector_parallelism = query_config.max_collector_parallelism; - let collector_strategy = query_config.tree_collector_strategy; + let max_collector_parallelism = 1; + let collector_strategy = CollectorCallStrategy::TightenOuterBounds; // Build one `PruningPredicate` per unique `Predicate` leaf // in the tree. Key = `Arc::as_ptr(expr) as usize` — the diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs index bda6dd599593c..decb69ae21e11 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs @@ -67,10 +67,12 @@ pub struct RowGroupInfo { } -/// Test-only override for the per-RG `min_skip_run` selectivity heuristic. -/// `IndexedStream` normally picks `min_skip_run` from candidate -/// selectivity; setting `force_strategy` to one of these variants pins the -/// choice so tests can exercise either extreme. +/// Override for the per-RG `min_skip_run` selectivity heuristic. `IndexedStream` +/// normally picks `min_skip_run` from candidate selectivity; setting +/// `force_strategy` to one of these variants pins the choice node-wide. +/// +/// Backed by the `datafusion.indexed.force_strategy` cluster setting (wire +/// `-1` = `None` = let selectivity decide). #[derive(Debug, Clone, Copy, PartialEq)] pub enum FilterStrategy { /// Force row-granular selection (`min_skip_run = 1`). @@ -442,7 +444,6 @@ impl ExecutionPlan for IndexedExec { Arc::clone(&self.metadata), self.predicate.clone(), self.stream_metrics.clone(), - self.query_config.force_pushdown, self.query_config.force_strategy, self.query_config.min_skip_run_default, self.query_config.min_skip_run_selectivity_threshold, @@ -489,17 +490,20 @@ struct IndexedStream { predicate: Option>, initialized: bool, metrics: StreamMetrics, - force_pushdown: Option, + /// Optional override for the per-RG `min_skip_run` choice, backed by the + /// `datafusion.indexed.force_strategy` cluster setting — see `pick_min_skip_run`. force_strategy: Option, - /// Baseline `min_skip_run` used when neither selectivity nor - /// `force_strategy` drives the choice. Extracted once from - /// `DatafusionQueryConfig` so the hot path reads a local `usize`. + /// Baseline `min_skip_run` used when selectivity drives the choice (the + /// only path in production; tests may pin it via `force_strategy`). + /// Extracted once from `DatafusionQueryConfig` so the hot path reads a + /// local `usize`. min_skip_run_default: usize, /// Below this candidate selectivity, pin `min_skip_run = 1` /// (row-granular selection). Same hot-path discipline as above. min_skip_run_selectivity_threshold: f64, /// Whether to ask parquet to apply residual predicates during decode. - /// `force_pushdown` still takes priority when set. + /// Node-wide default from the `datafusion.indexed.pushdown_filters` + /// cluster setting. indexed_pushdown_filters: bool, evaluator: Arc, /// Output coalescer — combines small post-filter batches up to @@ -542,7 +546,6 @@ impl IndexedStream { metadata: Arc, predicate: Option>, metrics: StreamMetrics, - force_pushdown: Option, force_strategy: Option, min_skip_run_default: usize, min_skip_run_selectivity_threshold: f64, @@ -584,7 +587,6 @@ impl IndexedStream { predicate, initialized: false, metrics, - force_pushdown, force_strategy, min_skip_run_default, min_skip_run_selectivity_threshold, @@ -600,6 +602,30 @@ impl IndexedStream { } } + /// Per-RG `min_skip_run` decision. + /// + /// When `force_strategy` is set (via the `datafusion.indexed.force_strategy` + /// cluster setting) it pins the choice to either extreme (`RowSelection` → 1, + /// `BooleanMask` → whole-RG select), bypassing the heuristic. + /// + /// Otherwise the choice is selectivity-driven: at low selectivity every gap + /// is worth skipping (`min_skip_run = 1`, row-granular); at higher selectivity + /// noisy short gaps would explode the selector Vec, so absorb anything shorter + /// than `min_skip_run_default` (block-granular). + fn pick_min_skip_run(&self, num_candidates: usize, rg_num_rows: usize) -> usize { + match self.force_strategy { + Some(FilterStrategy::RowSelection) => return 1, + Some(FilterStrategy::BooleanMask) => return rg_num_rows + 1, + None => {} + } + let selectivity = num_candidates as f64 / rg_num_rows as f64; + if selectivity < self.min_skip_run_selectivity_threshold { + 1 + } else { + self.min_skip_run_default + } + } + fn bridge_config(&self) -> RowGroupStreamConfig { RowGroupStreamConfig { file_path: self.object_path.to_string(), @@ -991,29 +1017,8 @@ impl IndexedStream { self.current_rg_context = Some(prefetched.prefetched.context); self.batch_offset = 0; - // Decide min_skip_run for this RG. - // - // - `force_strategy = RowSelection`: row-granular - // (min_skip_run = 1) — "sparse" path. - // - `force_strategy = BooleanMask`: disable skipping - // (min_skip_run > rg.num_rows) — full scan. - // - otherwise: pick based on selectivity. At low - // selectivity every gap is worth skipping (1); at - // higher selectivity noisy short gaps would explode - // the selector Vec, so absorb anything smaller than - // the default block size. - let selectivity = candidates.len() as f64 / rg.num_rows as f64; - let min_skip_run = match self.force_strategy { - Some(FilterStrategy::RowSelection) => 1, - Some(FilterStrategy::BooleanMask) => rg.num_rows as usize + 1, - None => { - if selectivity < self.min_skip_run_selectivity_threshold { - 1 - } else { - self.min_skip_run_default - } - } - }; + // Decide min_skip_run for this RG (see `pick_min_skip_run`). + let min_skip_run = self.pick_min_skip_run(candidates.len() as usize, rg.num_rows as usize); // Metrics: track which regime we landed in, using the // same counters as before so `EXPLAIN ANALYZE` output @@ -1087,10 +1092,12 @@ impl IndexedStream { // dropped (supports_filters_pushdown = Exact) so // there's no safety net if pushdown misbehaves on a // UDF-containing predicate. - let base_push = self.force_pushdown.unwrap_or(self.indexed_pushdown_filters); + // Node-wide `indexed_pushdown_filters` setting, gated by + // alignment/forbid checks below. let alignment_risk = min_skip_run != 1 && self.evaluator.needs_row_mask(); - let push = - base_push && !alignment_risk && !self.evaluator.forbid_parquet_pushdown(); + let push = self.indexed_pushdown_filters + && !alignment_risk + && !self.evaluator.forbid_parquet_pushdown(); match self.create_row_selection_stream(&rg, selection, push) { Ok((stream, plan)) => { diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs index 730fae5dd798b..666f78d74ffc7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs @@ -55,7 +55,7 @@ use super::partitioning::{ compute_assignments, compute_assignments_one_per_segment, segments_chain_on_sort_key, PartitionAssignment, SegmentChunk, SegmentLayout, }; -use super::stream::{FilterStrategy, IndexedExec, RowGroupInfo}; +use super::stream::{IndexedExec, RowGroupInfo}; use crate::datafusion_query_config::DatafusionQueryConfig; use crate::indexed_table::metrics::StreamMetrics; use crate::indexed_table::page_pruner::StatsPruneTree; @@ -572,12 +572,6 @@ impl ExecutionPlan for QueryShardExec { FilterPushdownPhase, FilterPushdownPropagation, PushedDown, }; - // Feature gate: when disabled, decline everything so behaviour is - // identical to before this feature (parent keeps its FilterExec). - if !self.config.query_config.indexed_dynamic_filter_pushdown { - return Ok(FilterPushdownPropagation::if_all(child_pushdown_result)); - } - // Only the Post phase carries dynamic filters; in Pre we own static // WHERE semantics via the BoolNode tree and want no interference. if phase != FilterPushdownPhase::Post { diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs index ccdb58cd853c1..b23d9de2955fc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs @@ -103,7 +103,7 @@ async fn run_constant_residual(residual: Arc) -> usize { let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs index 6a972d942d1ac..1974cfb33418b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs @@ -175,7 +175,6 @@ async fn run_indexed( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .batch_size(RG_ROWS) - .indexed_dynamic_filter_pushdown(true) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs index 562b757cb8f33..e27e3a3a6f103 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs @@ -442,7 +442,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_delegation_tree( // arithmetic were wrong we'd silently corrupt results on any segment after the first. let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(corpus.config.target_partitions.max(1)) - .force_pushdown(Some(true)) + .indexed_pushdown_filters(true) .batch_size(1024) .build(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs index 1e4ece4a1043a..6991c9c758c9c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs @@ -283,8 +283,12 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown let mut qcb = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(cfg_target_partitions.max(1)) .force_strategy(force_strategy) - .force_pushdown(force_pushdown) .batch_size(cfg_batch_size.unwrap_or([128, 1024, 8192][seed as usize % 3])); + // `force_pushdown` overrides the node-wide indexed_pushdown_filters default; + // `None` leaves the default in place. + if let Some(push) = force_pushdown { + qcb = qcb.indexed_pushdown_filters(push); + } if let Some(msr) = cfg_min_skip_run { qcb = qcb.min_skip_run_default(msr); } @@ -473,7 +477,7 @@ async fn run_single_collector_query( let mut qcb = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(force_strategy) - .force_pushdown(Some(true)) + .indexed_pushdown_filters(true) .batch_size([128, 1024, 8192][loaded.segments.len() % 3]); if let Some(msr) = min_skip_run_override { qcb = qcb.min_skip_run_default(msr); @@ -685,12 +689,16 @@ async fn run_with_factory_plan( let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); let store_url = datafusion::execution::object_store::ObjectStoreUrl::local_filesystem(); - let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() + let mut qcb = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(force_strategy) - .force_pushdown(force_pushdown) - .batch_size([256, 1024, 8192][loaded.segments.len() % 3]) - .build(); + .batch_size([256, 1024, 8192][loaded.segments.len() % 3]); + // `force_pushdown` overrides the node-wide indexed_pushdown_filters default; + // `None` leaves the default in place. + if let Some(push) = force_pushdown { + qcb = qcb.indexed_pushdown_filters(push); + } + let qc = qcb.build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: loaded.schema.clone(), segments: loaded.segments.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs index a97477e79300b..dd443908029d2 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs @@ -290,7 +290,7 @@ async fn run_tree_and_plan( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs index 650de26d4d0f8..2ceff34d8b907 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs @@ -177,7 +177,7 @@ async fn run_two_segment_query( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(num_partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -390,7 +390,7 @@ async fn run_two_segment_query_witness( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(num_partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -601,7 +601,7 @@ async fn run_segments(specs: Vec, num_partitions: usize) -> Vec<(i32, S let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(num_partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -1110,7 +1110,7 @@ async fn run_wide_segments( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(num_partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -1469,7 +1469,7 @@ async fn run_wide_segments_with_stats_pruning( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(num_partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs index b7806316e43ed..400b8747e9fab 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs @@ -372,7 +372,7 @@ async fn assert_engine_matches_reference_null(name: &str, tree: NT) { let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs index 9a28828a95737..90a9cae809066 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs @@ -387,7 +387,7 @@ async fn execute_and_collect( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs index 9805e6c3be211..65dc75c0a80ae 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs @@ -121,7 +121,7 @@ async fn query_phase(tree: BoolNode) -> Vec { let mut qc = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); qc.target_partitions = 1; qc.force_strategy = Some(FilterStrategy::BooleanMask); - qc.force_pushdown = Some(false); + qc.indexed_pushdown_filters = false; qc }), predicate_columns: vec![0, 1, 2, 3], diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs index 56bbc27304b18..9f2621948eebb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs @@ -111,7 +111,7 @@ async fn run_tree_row_ids(tree: BoolNode) -> Vec { let mut qc = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); qc.target_partitions = 1; qc.force_strategy = Some(FilterStrategy::BooleanMask); - qc.force_pushdown = Some(false); + qc.indexed_pushdown_filters = false; qc }), predicate_columns: vec![0, 1, 2, 3], @@ -281,7 +281,7 @@ async fn run_tree_row_ids_with_global_base(tree: BoolNode, global_base: u64) -> let mut qc = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); qc.target_partitions = 1; qc.force_strategy = Some(FilterStrategy::BooleanMask); - qc.force_pushdown = Some(false); + qc.indexed_pushdown_filters = false; qc }), predicate_columns: vec![0, 1, 2, 3], @@ -549,7 +549,7 @@ async fn test_row_id_with_data_columns() { let mut qc = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); qc.target_partitions = 1; qc.force_strategy = Some(FilterStrategy::BooleanMask); - qc.force_pushdown = Some(false); + qc.indexed_pushdown_filters = false; qc }), predicate_columns: vec![0, 1, 2, 3], @@ -804,7 +804,7 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { let mut qc = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); qc.target_partitions = 1; qc.force_strategy = Some(FilterStrategy::BooleanMask); - qc.force_pushdown = Some(false); + qc.indexed_pushdown_filters = false; qc }), predicate_columns: vec![0, 1, 2, 3], diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs index 7a7d8dc9fea53..b1744e4027f16 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs @@ -6,10 +6,10 @@ * compatible open source license. */ -//! End-to-end correctness tests for row ID emission across all three strategies. +//! End-to-end correctness tests for shard-global row ID computation. //! //! These tests create real parquet files with known `___row_id` values and verify -//! that all three `QueryStrategy` variants produce identical shard-global row IDs. +//! that the row-base prefix-sum produces unique, contiguous shard-global row IDs. #[cfg(test)] mod tests { @@ -26,7 +26,6 @@ mod tests { use tempfile::TempDir; use crate::api::{build_shard_files, FileRowMetadata}; - use crate::datafusion_query_config::QueryStrategy; use crate::project_row_id_optimizer::ProjectRowIdOptimizer; /// Create a test parquet file with `___row_id` column containing positional indices. @@ -283,13 +282,6 @@ mod tests { assert_eq!(result.schema().field(1).name(), "b"); } - #[test] - fn test_query_strategy_default_is_none() { - let config = crate::datafusion_query_config::DatafusionQueryConfig::test_default(); - assert_eq!(config.query_strategy, QueryStrategy::None); - } - - #[test] fn test_build_shard_files_empty() { let shard_files = build_shard_files(&[], &[]); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs index 838708712b1d5..4d915ecd86637 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs @@ -127,7 +127,7 @@ async fn run_missing_col_tree(tree_bool: BoolNode) -> usize { let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -440,7 +440,7 @@ async fn query_with_mismatched_schema( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: table_schema, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs index 51007814141fc..d277d691b1a3d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs @@ -220,7 +220,7 @@ async fn collect_row_ids( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs index 63ec6658d7fd1..564637b026f94 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs @@ -444,7 +444,7 @@ async fn run_large( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(1) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), @@ -901,7 +901,7 @@ async fn run_large_partitioned( let qc = crate::datafusion_query_config::DatafusionQueryConfig::builder() .target_partitions(partitions) .force_strategy(Some(FilterStrategy::BooleanMask)) - .force_pushdown(Some(false)) + .indexed_pushdown_filters(false) .build(); let provider = Arc::new(IndexedTableProvider::new(IndexedTableConfig { schema: schema.clone(), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 9be338343fc81..0c954e73ed1b4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -28,6 +28,7 @@ pub mod cross_rt_stream; pub mod datafusion_query_config; pub mod executor; pub mod ffm; +pub mod helper; pub mod indexed_executor; pub mod indexed_table; pub mod io; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs index 2eb3863b37dea..d752370063a83 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs @@ -11,17 +11,15 @@ use std::sync::Arc; use native_bridge_common::log_debug; use datafusion::{ common::DataFusionError, - datasource::listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl}, - execution::context::SessionContext, + datasource::listing::ListingTableUrl, execution::runtime_env::RuntimeEnvBuilder, - execution::SessionStateBuilder, physical_plan::displayable, physical_plan::execute_stream, - prelude::*, }; -use datafusion::datasource::file_format::parquet::ParquetFormat; use datafusion::execution::cache::cache_manager::{CacheManagerConfig, CachedFileList}; use datafusion::execution::cache::{CacheAccessor, DefaultListFilesCache}; +use datafusion::execution::context::SessionContext; +use datafusion::logical_expr::{col, lit}; use datafusion_substrait::logical_plan::consumer::from_substrait_plan; use log::error; use object_store::ObjectMeta; @@ -29,9 +27,10 @@ use object_store::ObjectStore; use prost::Message; use substrait::proto::Plan; +use crate::api::{DataFusionRuntime, ShardFileInfo}; use crate::cross_rt_stream::CrossRtStream; use crate::executor::DedicatedExecutor; -use crate::api::{DataFusionRuntime, ShardFileInfo}; +use crate::helper::{build_query_runtime_env_with_store, build_query_session_context, register_listing_table}; use crate::session_context::SessionContextHandle; /// Execute a vanilla parquet query: substrait plan → DataFusion → CrossRtStream. @@ -57,110 +56,28 @@ pub async fn execute_query( sort_orders: &[String], internal_search: crate::datafusion_query_config::InternalSearch, ) -> Result { - // Build per-query RuntimeEnv with list-files cache pre-populated. - let runtime_env = build_query_runtime_env(runtime, &table_path, object_metas.as_ref())?; - - // If a per-query memory pool is provided, rebuild with it overlaid. - // The per-query pool wraps the global pool, so global limits are still enforced. - let runtime_env = if let Some(pool) = query_memory_pool { - Arc::from( - RuntimeEnvBuilder::from_runtime_env(&runtime_env) - .with_memory_pool(pool) - .build() - .map_err(|e| { - error!("Failed to build runtime env with query pool: {}", e); - e - })?, - ) - } else { - runtime_env - }; - - // Register shard-specific object store on file:// scheme for this query. - // Routes reads through TieredObjectStore (local + remote) or default LocalFileSystem. - runtime_env.register_object_store( - &url::Url::parse("file://").unwrap(), + // Build per-query RuntimeEnv (optional pool overlay) + register the shard store. + let runtime_env = build_query_runtime_env_with_store( + runtime, + &table_path, + object_metas.as_ref(), shard_store, + query_memory_pool, + )?; + + // Build a fresh session context per query (default optimizer rules on the + // vanilla path). TODO : Tune this during planning per query. + let ctx = build_query_session_context( + query_config, + runtime_env, + query_config.target_partitions, + false, // vanilla path ); - // Build a fresh session state per query. TODO : Tune this during planning per query - let mut config = SessionConfig::new(); - config.options_mut().execution.parquet.pushdown_filters = query_config.parquet_pushdown_filters; - config.options_mut().execution.target_partitions = query_config.target_partitions; - config.options_mut().execution.batch_size = query_config.batch_size; - - let state = SessionStateBuilder::new() - .with_config(config) - .with_runtime_env(runtime_env) - .with_default_features() - .build(); - - let ctx = SessionContext::new_with_state(state); - crate::udf::register_all(&ctx); - crate::udaf::register_all(&ctx); - - // Register table provider based on strategy. - // - // Note: api::execute_query only routes to this function when the plan does NOT - // request row IDs (otherwise it dispatches to the indexed executor). The strategy - // therefore matters only for distinguishing the ShardTableProvider rewrite - // (ListingTable) from the plain ListingTable scan (None / IndexedPredicateOnly). - use crate::datafusion_query_config::QueryStrategy; - match query_config.query_strategy { - QueryStrategy::ListingTable => { - use crate::shard_table_provider::{ShardTableConfig, ShardTableProvider}; - - // Infer schema from the first file - let file_format = ParquetFormat::new(); - let listing_options = ListingOptions::new(Arc::new(file_format)) - .with_file_extension(".parquet") - .with_collect_stat(true); - let resolved_schema = listing_options - .infer_schema(&ctx.state(), &table_path) - .await - .map_err(|e| { error!("Failed to infer schema: {}", e); e })?; - let resolved_schema = crate::schema_coerce::coerce_inferred_schema(resolved_schema); - - // Build ShardFileInfo with row_base from cumulative row counts - let store = ctx.state().runtime_env().object_store(&table_path)?; - let files = build_shard_file_infos(&store, object_metas.as_ref()).await?; - - let store_url = store_url_from_table_path(&table_path)?; - - let provider = Arc::new(ShardTableProvider::new(ShardTableConfig { - file_schema: resolved_schema, - files, - store_url, - })); - ctx.register_table(&table_name, provider) - .map_err(|e| { error!("Failed to register table: {}", e); e })?; - } - _ => { - // Baseline: use standard ListingTable - let file_format = ParquetFormat::new(); - let mut listing_options = ListingOptions::new(Arc::new(file_format)) - .with_file_extension(".parquet") - .with_collect_stat(true); - // Declare per-file sort order to DataFusion if the index has `index.sort.field`. - // See `session_context::build_file_sort_order` for what the declaration buys us - // and the case/nulls/non-sort caveats. - if let Some(sort_exprs) = crate::session_context::build_file_sort_order(sort_fields, sort_orders) { - listing_options = listing_options.with_file_sort_order(vec![sort_exprs]); - } - let resolved_schema = listing_options - .infer_schema(&ctx.state(), &table_path) - .await - .map_err(|e| { error!("Failed to infer schema: {}", e); e })?; - let resolved_schema = crate::schema_coerce::coerce_inferred_schema(resolved_schema); - let table_config = ListingTableConfig::new(table_path) - .with_listing_options(listing_options) - .with_schema(resolved_schema); - let provider = Arc::new(ListingTable::try_new(table_config) - .map_err(|e| { error!("Failed to create listing table: {}", e); e })?); - ctx.register_table(&table_name, provider) - .map_err(|e| { error!("Failed to register table: {}", e); e })?; - } - } + // Register the standard DataFusion ListingTable. This function only runs the vanilla + // (non-row-id) path — QTF row-id plans always route to the indexed executor. + // Declares the per-file sort order when the index has `index.sort.field`. + register_listing_table(&ctx, &table_name, table_path, sort_fields, sort_orders).await?; // Planning: build the query DataFrame (Substrait decode for normal search, native filter for an // engine-internal point lookup). Physical planning + execution below is shared by both. @@ -175,19 +92,6 @@ pub async fn execute_query( let target_schema = crate::schema_coerce::coerce_inferred_schema(physical_plan.schema()); let physical_plan = crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; - // Apply row ID optimizer when ShardTableProvider injected `row_base`. - // For other strategies the vanilla scan output is already what the plan expects. - use datafusion::physical_optimizer::PhysicalOptimizerRule; - let physical_plan = match query_config.query_strategy { - QueryStrategy::ListingTable => { - // Rewrites ___row_id to ___row_id + row_base. - let optimizer = crate::project_row_id_optimizer::ProjectRowIdOptimizer; - let config = datafusion::common::config::ConfigOptions::default(); - optimizer.optimize(physical_plan, &config)? - } - _ => physical_plan, - }; - let df_stream = execute_stream(physical_plan, ctx.task_ctx()).map_err(|e| { error!("Failed to create execution stream: {}", e); e @@ -284,10 +188,8 @@ async fn internal_search_dataframe( /// by the time this function is reached the pointer is already invalidated from /// Java's perspective and cleanup is pure RAII. /// -/// When the plan requests row IDs and a `QueryStrategy` is configured, this -/// function routes to the appropriate execution path: -/// - `ListingTable`: applies `ProjectRowIdOptimizer` to the physical plan -/// - `IndexedPredicateOnly`: delegates to the indexed executor with `emit_row_ids=true` +/// This is the fragment (non-row-id) execution path: row-id-requesting plans are +/// routed to the indexed executor by `df_execute_with_context` before reaching here. pub async fn execute_with_context( handle: SessionContextHandle, plan_bytes: &[u8], @@ -297,45 +199,9 @@ pub async fn execute_with_context( // Permit was acquired by the caller (ffm.rs) on the IO runtime before // spawning on the CPU runtime, so the Java search thread blocks at the // gate when it is full — creating backpressure at the Java threadpool level. - use crate::datafusion_query_config::QueryStrategy; - let context_id = handle.query_context.context_id(); let token = crate::query_tracker::get_cancellation_token(context_id); - let query_strategy = handle.query_config.query_strategy; - - // If ListingTable strategy: replace the default ListingTable with ShardTableProvider - // that adds row_base partition column for ProjectRowIdOptimizer. - // Also register the ProjectRowIdAnalyzer to ensure __row_id__ survives logical optimization. - if query_strategy == QueryStrategy::ListingTable { - use crate::shard_table_provider::{ShardTableConfig, ShardTableProvider}; - - handle.ctx.deregister_table(&handle.table_name)?; - - let store = handle.ctx.state().runtime_env().object_store(&handle.table_path)?; - - // Infer schema from existing files - let listing_options = ListingOptions::new(Arc::new(ParquetFormat::new())) - .with_file_extension(".parquet") - .with_collect_stat(true); - let resolved_schema = listing_options - .infer_schema(&handle.ctx.state(), &handle.table_path) - .await?; - let resolved_schema = crate::schema_coerce::coerce_inferred_schema(resolved_schema); - - // Build ShardFileInfo with cumulative row_base from parquet metadata. - let files = build_shard_file_infos(&store, handle.object_metas.as_ref()).await?; - - let store_url = store_url_from_table_path(&handle.table_path)?; - - let provider = Arc::new(ShardTableProvider::new(ShardTableConfig { - file_schema: resolved_schema, - files, - store_url, - })); - handle.ctx.register_table(&handle.table_name, provider)?; - } - let query_future = async { // If prepare_partial_plan stored a stripped plan on this handle (engine-native-merge // PARTIAL stage triggered by SETUP_PARTIAL_AGGREGATE), skip the substrait re-decode diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 87cedc085b2fb..9a5f700d07ed1 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -199,7 +199,7 @@ pub async unsafe fn create_session_context( let phantom = phantom_reservation.map(|b| b.phantom_reservation); let mut config = SessionConfig::new(); - config.options_mut().execution.parquet.pushdown_filters = query_config.parquet_pushdown_filters; + config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; config.options_mut().execution.target_partitions = effective_partitions; config.options_mut().execution.batch_size = effective_batch_size; // When the index has `index.sort.field`, ask DataFusion to use the sort-aware @@ -218,21 +218,7 @@ pub async unsafe fn create_session_context( datafusion::physical_optimizer::optimizer::PhysicalOptimizer::new().rules }); - // For ListingTable query strategy: - // 1. Add ProjectRowIdAnalyzer (logical) — ensures __row_id__ survives pruning. - // 2. Add ProjectRowIdOptimizer (physical) — computes __row_id__ + row_base. - if query_config.query_strategy == crate::datafusion_query_config::QueryStrategy::ListingTable { - state_builder = state_builder - .with_analyzer_rule( - Arc::new(crate::project_row_id_analyzer::ProjectRowIdAnalyzer::new()) - ) - .with_physical_optimizer_rule( - Arc::new(crate::project_row_id_optimizer::ProjectRowIdOptimizer) - ); - } - // Install the scoped page-index reader factory on every parquet scan. - // Registered AFTER ProjectRowIdOptimizer so it sees the final DataSourceExec. // Also, this SHOULD be the last optimizer to see all projections / predicates if page_index::is_scoped_page_index_enabled() { state_builder = state_builder.with_physical_optimizer_rule(Arc::new( diff --git a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/DatafusionDynamicSettingsIT.java b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/DatafusionDynamicSettingsIT.java index 85cea8d93c102..40fa47e4e2ba0 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/DatafusionDynamicSettingsIT.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/internalClusterTest/java/org/opensearch/be/datafusion/DatafusionDynamicSettingsIT.java @@ -70,26 +70,20 @@ public void testAllIndexedSettingsCanBeUpdatedDynamically() { .prepareUpdateSettings() .setTransientSettings( Settings.builder() - .put("datafusion.indexed.batch_size", 16384) - .put("datafusion.indexed.parquet_pushdown_filters", true) + .put("datafusion.batch_size", 16384) + .put("datafusion.listing_table.pushdown_filters", true) .put("datafusion.indexed.min_skip_run_default", 2048) .put("datafusion.indexed.min_skip_run_selectivity_threshold", 0.5) - .put("datafusion.indexed.single_collector_strategy", "full_range") - .put("datafusion.indexed.tree_collector_strategy", "page_range_split") - .put("datafusion.indexed.max_collector_parallelism", 4) .build() ) .get(); assertTrue(response.isAcknowledged()); Settings transientSettings = response.getTransientSettings(); - assertEquals("16384", transientSettings.get("datafusion.indexed.batch_size")); - assertEquals("true", transientSettings.get("datafusion.indexed.parquet_pushdown_filters")); + assertEquals("16384", transientSettings.get("datafusion.batch_size")); + assertEquals("true", transientSettings.get("datafusion.listing_table.pushdown_filters")); assertEquals("2048", transientSettings.get("datafusion.indexed.min_skip_run_default")); assertEquals("0.5", transientSettings.get("datafusion.indexed.min_skip_run_selectivity_threshold")); - assertEquals("full_range", transientSettings.get("datafusion.indexed.single_collector_strategy")); - assertEquals("page_range_split", transientSettings.get("datafusion.indexed.tree_collector_strategy")); - assertEquals("4", transientSettings.get("datafusion.indexed.max_collector_parallelism")); } public void testInvalidValuesAreRejected() { @@ -98,7 +92,7 @@ public void testInvalidValuesAreRejected() { () -> client().admin() .cluster() .prepareUpdateSettings() - .setTransientSettings(Settings.builder().put("datafusion.indexed.batch_size", 0).build()) + .setTransientSettings(Settings.builder().put("datafusion.batch_size", 0).build()) .get() ); @@ -110,14 +104,5 @@ public void testInvalidValuesAreRejected() { .setTransientSettings(Settings.builder().put("datafusion.indexed.min_skip_run_selectivity_threshold", 1.5).build()) .get() ); - - expectThrows( - IllegalArgumentException.class, - () -> client().admin() - .cluster() - .prepareUpdateSettings() - .setTransientSettings(Settings.builder().put("datafusion.indexed.single_collector_strategy", "bogus").build()) - .get() - ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java index e8f6cda469456..5f3fbb818e865 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java @@ -39,8 +39,8 @@ public final class DatafusionSettings { // ── New indexed query settings ── /** Number of rows per batch in the indexed query execution path. */ - public static final Setting INDEXED_BATCH_SIZE = Setting.intSetting( - "datafusion.indexed.batch_size", + public static final Setting BATCH_SIZE = Setting.intSetting( + "datafusion.batch_size", 8192, 1, Setting.Property.NodeScope, @@ -48,44 +48,29 @@ public final class DatafusionSettings { ); /** - * Whether DataFusion applies residual predicate pushdown during parquet decode - * on the indexed path. When true, narrow row-granular selections benefit from - * decode-time filtering via {@code RowFilter}. When false (default), the indexed - * stream handles filtering externally via bitmap-based row selection. - *

      - * Note: ideally this decision should be taken by the planner on a per-query basis - * (e.g., based on filter shape and estimated selectivity). This setting acts as - * the node-wide default until per-query planner support is added. + * Whether DataFusion applies its own decode-time predicate pushdown on the + * ListingTable (non-indexed) query path. Maps to DataFusion's + * {@code execution.parquet.pushdown_filters} session option. */ - public static final Setting INDEXED_PARQUET_PUSHDOWN_FILTERS = Setting.boolSetting( - "datafusion.indexed.parquet_pushdown_filters", + public static final Setting LISTING_TABLE_PUSHDOWN_FILTERS = Setting.boolSetting( + "datafusion.listing_table.pushdown_filters", false, Setting.Property.NodeScope, Setting.Property.Dynamic ); /** - * Whether to use parquet bloom filters for row-group pruning on the indexed read path. - * When true, equality predicates are checked against the SBBF (Split Block Bloom Filter) - * embedded in the parquet footer before invoking the expensive FFM collector call. - * If the bloom filter proves absence, the row group is skipped entirely. - */ - public static final Setting INDEXED_BLOOM_FILTER_ON_READ = Setting.boolSetting( - "datafusion.indexed.bloom_filter_on_read", - true, - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); - - /** - * Whether the indexed scan accepts runtime dynamic filters (TopK / join) - * pushed down via physical filter pushdown and uses them to prune row groups - * whose parquet statistics cannot satisfy the tightening predicate. On by - * default; turn off to A/B the performance impact. When off, the scan - * declines the pushdown and behaves exactly as before this feature. + * Whether the indexed stream asks parquet to apply the residual predicate during + * decode (via {@code RowFilter} pushdown). When true (default), narrow row-granular + * selections benefit from decode-time filtering; when false, the indexed stream + * handles filtering externally via bitmap-based row selection. + *

      + * Note: ideally this decision should be taken by the planner on a per-query basis + * (e.g., based on filter shape and estimated selectivity). This setting acts as + * the node-wide default until per-query planner support is added. */ - public static final Setting INDEXED_DYNAMIC_FILTER_PUSHDOWN = Setting.boolSetting( - "datafusion.indexed.dynamic_filter_pushdown", + public static final Setting INDEXED_PUSHDOWN_FILTERS = Setting.boolSetting( + "datafusion.indexed.pushdown_filters", true, Setting.Property.NodeScope, Setting.Property.Dynamic @@ -122,76 +107,44 @@ public final class DatafusionSettings { Setting.Property.Dynamic ); - // Strategy constants for CollectorCallStrategy - public static final String STRATEGY_FULL_RANGE = "full_range"; - public static final String STRATEGY_TIGHTEN_OUTER_BOUNDS = "tighten_outer_bounds"; - public static final String STRATEGY_PAGE_RANGE_SPLIT = "page_range_split"; - /** - * How the SingleCollectorEvaluator narrows collector doc ranges relative to - * page-pruning results. Valid values: full_range, tighten_outer_bounds, page_range_split. - * Default is page_range_split — only one collector, so multiple FFM calls per RG is acceptable. + * Pins the indexed stream's per-row-group {@code min_skip_run} strategy instead of + * letting candidate selectivity decide. Accepts: + *

        + *
      • {@code "none"} (default) — selectivity heuristic decides (wire {@code -1});
        • + *
      • {@code "row_selection"} — force row-granular selection, {@code min_skip_run = 1} (wire {@code 0});
        • + *
      • {@code "boolean_mask"} — force a single whole-RG select (wire {@code 1}).
        • + *
      + * Node-wide override intended for benchmarking/diagnostics; production normally + * leaves this at {@code "none"}. */ - public static final Setting INDEXED_SINGLE_COLLECTOR_STRATEGY = Setting.simpleString( - "datafusion.indexed.single_collector_strategy", - STRATEGY_PAGE_RANGE_SPLIT, - value -> { - switch (value) { - case STRATEGY_FULL_RANGE: - case STRATEGY_TIGHTEN_OUTER_BOUNDS: - case STRATEGY_PAGE_RANGE_SPLIT: - break; - default: - throw new IllegalArgumentException( - "datafusion.indexed.single_collector_strategy must be one of " - + "[full_range, tighten_outer_bounds, page_range_split], got: " - + value - ); - } - }, + public static final Setting INDEXED_FORCE_STRATEGY = Setting.simpleString( + "datafusion.indexed.force_strategy", + "none", + DatafusionSettings::validateForceStrategy, Setting.Property.NodeScope, Setting.Property.Dynamic ); - /** - * How the bitmap tree evaluator narrows collector doc ranges when multiple collectors - * are present. Valid values: full_range, tighten_outer_bounds, page_range_split. - * Default is tighten_outer_bounds — multiple collectors make page_range_split expensive. - */ - public static final Setting INDEXED_TREE_COLLECTOR_STRATEGY = Setting.simpleString( - "datafusion.indexed.tree_collector_strategy", - STRATEGY_TIGHTEN_OUTER_BOUNDS, - value -> { - switch (value) { - case STRATEGY_FULL_RANGE: - case STRATEGY_TIGHTEN_OUTER_BOUNDS: - case STRATEGY_PAGE_RANGE_SPLIT: - break; - default: - throw new IllegalArgumentException( - "datafusion.indexed.tree_collector_strategy must be one of " - + "[full_range, tighten_outer_bounds, page_range_split], got: " - + value - ); - } - }, - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); + private static void validateForceStrategy(String value) { + forceStrategyToWire(value); + } - /** - * Maximum number of Collector-leaf FFM calls issued in parallel per row-group - * prefetch. 1 = fully sequential (lowest CPU, fastest short-circuit). Higher - * values sacrifice short-circuit savings in AND/OR groups but reduce latency - * for independent collector leaves. - */ - public static final Setting INDEXED_MAX_COLLECTOR_PARALLELISM = Setting.intSetting( - "datafusion.indexed.max_collector_parallelism", - 1, - 1, - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); + /** Maps the {@link #INDEXED_FORCE_STRATEGY} string to the Rust wire code (-1/0/1). */ + static int forceStrategyToWire(String value) { + switch (value) { + case "none": + return -1; + case "row_selection": + return 0; + case "boolean_mask": + return 1; + default: + throw new IllegalArgumentException( + "Setting [datafusion.indexed.force_strategy] must be one of [none, row_selection, boolean_mask], got [" + value + "]" + ); + } + } // ── Concurrency gate settings ── @@ -220,47 +173,6 @@ public final class DatafusionSettings { Setting.Property.Dynamic ); - // Query strategy constants - public static final String QUERY_STRATEGY_NONE = "none"; - public static final String QUERY_STRATEGY_LISTING_TABLE = "listing_table"; - public static final String QUERY_STRATEGY_INDEXED = "indexed"; - - /** - * Query strategy for query-then-fetch (QTF) row ID computation. - *

      - * Controls how shard-global row IDs are computed when the query projects {@code __row_id__}. - *

        - *
      • {@code none} — No global row ID computation. Reads {@code __row_id__} as a regular - * column from parquet (per-file 0-based values, NOT shard-global). Useful for debugging.
        • - *
      • {@code listing_table} — Uses ShardTableProvider with a {@code row_base} partition column. - * Reads {@code __row_id__} from parquet and adds the file's cumulative row offset via - * ProjectRowIdOptimizer ({@code __row_id__ + row_base = global_id}). Works with standard - * DataFusion ListingTable scan path.
        • - *
      • {@code indexed} — Uses the indexed pipeline (segment partitioning, PositionMap). - * Computes row IDs from position ({@code global_base + rg.first_row + position_in_rg}). - * Zero I/O for the row ID column. Fastest path when the indexed executor is available.
        • - *
      - * Default: {@code indexed}. - */ - public static final Setting INDEXED_QUERY_STRATEGY = Setting.simpleString( - "datafusion.indexed.query_strategy", - QUERY_STRATEGY_INDEXED, - value -> { - switch (value) { - case QUERY_STRATEGY_NONE: - case QUERY_STRATEGY_LISTING_TABLE: - case QUERY_STRATEGY_INDEXED: - break; - default: - throw new IllegalArgumentException( - "datafusion.indexed.query_strategy must be one of " + "[none, listing_table, indexed], got: " + value - ); - } - }, - Setting.Property.NodeScope, - Setting.Property.Dynamic - ); - /** * Computes the default for a pool min as a percentage of * {@link ResourceTrackerSettings#NODE_NATIVE_MEMORY_LIMIT_SETTING}. @@ -312,16 +224,12 @@ static String derivePoolMinDefault(Settings settings, int percent) { CONCURRENCY_DATANODE_MULTIPLIER, // Indexed query settings — per-query tuning knobs for the indexed execution path - INDEXED_BATCH_SIZE, - INDEXED_PARQUET_PUSHDOWN_FILTERS, - INDEXED_BLOOM_FILTER_ON_READ, + BATCH_SIZE, + LISTING_TABLE_PUSHDOWN_FILTERS, + INDEXED_PUSHDOWN_FILTERS, INDEXED_MIN_SKIP_RUN_DEFAULT, INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD, - INDEXED_SINGLE_COLLECTOR_STRATEGY, - INDEXED_TREE_COLLECTOR_STRATEGY, - INDEXED_MAX_COLLECTOR_PARALLELISM, - INDEXED_QUERY_STRATEGY, - INDEXED_DYNAMIC_FILTER_PUSHDOWN + INDEXED_FORCE_STRATEGY ); // ── Snapshot management ── @@ -354,17 +262,13 @@ public DatafusionSettings(ClusterService clusterService) { this.maxSliceCount = SearchService.CONCURRENT_SEGMENT_SEARCH_TARGET_MAX_SLICE_COUNT_SETTING.get(settings); this.snapshot = WireConfigSnapshot.builder() - .batchSize(INDEXED_BATCH_SIZE.get(settings)) + .batchSize(BATCH_SIZE.get(settings)) .targetPartitions(deriveTargetPartitions(this.concurrentSearchMode, this.maxSliceCount)) - .parquetPushdownFilters(INDEXED_PARQUET_PUSHDOWN_FILTERS.get(settings)) - .bloomFilterOnRead(INDEXED_BLOOM_FILTER_ON_READ.get(settings)) + .listingTablePushdownFilters(LISTING_TABLE_PUSHDOWN_FILTERS.get(settings)) + .indexedPushdownFilters(INDEXED_PUSHDOWN_FILTERS.get(settings)) .minSkipRunDefault(INDEXED_MIN_SKIP_RUN_DEFAULT.get(settings)) .minSkipRunSelectivityThreshold(INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD.get(settings)) - .singleCollectorStrategy(strategyToWireValue(INDEXED_SINGLE_COLLECTOR_STRATEGY.get(settings))) - .treeCollectorStrategy(strategyToWireValue(INDEXED_TREE_COLLECTOR_STRATEGY.get(settings))) - .maxCollectorParallelism(INDEXED_MAX_COLLECTOR_PARALLELISM.get(settings)) - .queryStrategy(queryStrategyToWireValue(INDEXED_QUERY_STRATEGY.get(settings))) - .indexedDynamicFilterPushdown(INDEXED_DYNAMIC_FILTER_PUSHDOWN.get(settings)) + .forceStrategy(forceStrategyToWire(INDEXED_FORCE_STRATEGY.get(settings))) .build(); registerListeners(clusterSettings); @@ -379,31 +283,27 @@ public DatafusionSettings(ClusterService clusterService) { this.maxSliceCount = SearchService.CONCURRENT_SEGMENT_SEARCH_TARGET_MAX_SLICE_COUNT_SETTING.get(settings); this.snapshot = WireConfigSnapshot.builder() - .batchSize(INDEXED_BATCH_SIZE.get(settings)) + .batchSize(BATCH_SIZE.get(settings)) .targetPartitions(deriveTargetPartitions(this.concurrentSearchMode, this.maxSliceCount)) - .parquetPushdownFilters(INDEXED_PARQUET_PUSHDOWN_FILTERS.get(settings)) - .bloomFilterOnRead(INDEXED_BLOOM_FILTER_ON_READ.get(settings)) + .listingTablePushdownFilters(LISTING_TABLE_PUSHDOWN_FILTERS.get(settings)) + .indexedPushdownFilters(INDEXED_PUSHDOWN_FILTERS.get(settings)) .minSkipRunDefault(INDEXED_MIN_SKIP_RUN_DEFAULT.get(settings)) .minSkipRunSelectivityThreshold(INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD.get(settings)) - .singleCollectorStrategy(strategyToWireValue(INDEXED_SINGLE_COLLECTOR_STRATEGY.get(settings))) - .treeCollectorStrategy(strategyToWireValue(INDEXED_TREE_COLLECTOR_STRATEGY.get(settings))) - .maxCollectorParallelism(INDEXED_MAX_COLLECTOR_PARALLELISM.get(settings)) - .queryStrategy(queryStrategyToWireValue(INDEXED_QUERY_STRATEGY.get(settings))) - .indexedDynamicFilterPushdown(INDEXED_DYNAMIC_FILTER_PUSHDOWN.get(settings)) + .forceStrategy(forceStrategyToWire(INDEXED_FORCE_STRATEGY.get(settings))) .build(); } void registerListeners(ClusterSettings clusterSettings) { - clusterSettings.addSettingsUpdateConsumer(INDEXED_BATCH_SIZE, newValue -> { + clusterSettings.addSettingsUpdateConsumer(BATCH_SIZE, newValue -> { snapshot = WireConfigSnapshot.builder(snapshot).batchSize(newValue).build(); }); - clusterSettings.addSettingsUpdateConsumer(INDEXED_PARQUET_PUSHDOWN_FILTERS, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).parquetPushdownFilters(newValue).build(); + clusterSettings.addSettingsUpdateConsumer(LISTING_TABLE_PUSHDOWN_FILTERS, newValue -> { + snapshot = WireConfigSnapshot.builder(snapshot).listingTablePushdownFilters(newValue).build(); }); - clusterSettings.addSettingsUpdateConsumer(INDEXED_BLOOM_FILTER_ON_READ, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).bloomFilterOnRead(newValue).build(); + clusterSettings.addSettingsUpdateConsumer(INDEXED_PUSHDOWN_FILTERS, newValue -> { + snapshot = WireConfigSnapshot.builder(snapshot).indexedPushdownFilters(newValue).build(); }); clusterSettings.addSettingsUpdateConsumer(INDEXED_MIN_SKIP_RUN_DEFAULT, newValue -> { @@ -414,24 +314,8 @@ void registerListeners(ClusterSettings clusterSettings) { snapshot = WireConfigSnapshot.builder(snapshot).minSkipRunSelectivityThreshold(newValue).build(); }); - clusterSettings.addSettingsUpdateConsumer(INDEXED_SINGLE_COLLECTOR_STRATEGY, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).singleCollectorStrategy(strategyToWireValue(newValue)).build(); - }); - - clusterSettings.addSettingsUpdateConsumer(INDEXED_TREE_COLLECTOR_STRATEGY, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).treeCollectorStrategy(strategyToWireValue(newValue)).build(); - }); - - clusterSettings.addSettingsUpdateConsumer(INDEXED_MAX_COLLECTOR_PARALLELISM, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).maxCollectorParallelism(newValue).build(); - }); - - clusterSettings.addSettingsUpdateConsumer(INDEXED_QUERY_STRATEGY, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).queryStrategy(queryStrategyToWireValue(newValue)).build(); - }); - - clusterSettings.addSettingsUpdateConsumer(INDEXED_DYNAMIC_FILTER_PUSHDOWN, newValue -> { - snapshot = WireConfigSnapshot.builder(snapshot).indexedDynamicFilterPushdown(newValue).build(); + clusterSettings.addSettingsUpdateConsumer(INDEXED_FORCE_STRATEGY, newValue -> { + snapshot = WireConfigSnapshot.builder(snapshot).forceStrategy(forceStrategyToWire(newValue)).build(); }); clusterSettings.addSettingsUpdateConsumer(SearchService.CONCURRENT_SEGMENT_SEARCH_TARGET_MAX_SLICE_COUNT_SETTING, newValue -> { @@ -457,37 +341,6 @@ public WireConfigSnapshot getSnapshot() { return snapshot; } - /** - * Converts a strategy string to its wire format integer value. - *

      - * Mapping: full_range = 0, tighten_outer_bounds = 1, page_range_split = 2. - */ - static int strategyToWireValue(String strategy) { - switch (strategy) { - case STRATEGY_FULL_RANGE: - return 0; - case STRATEGY_TIGHTEN_OUTER_BOUNDS: - return 1; - case STRATEGY_PAGE_RANGE_SPLIT: - return 2; - default: - throw new IllegalArgumentException("Unknown strategy: " + strategy); - } - } - - static int queryStrategyToWireValue(String strategy) { - switch (strategy) { - case QUERY_STRATEGY_NONE: - return 0; - case QUERY_STRATEGY_LISTING_TABLE: - return 1; - case QUERY_STRATEGY_INDEXED: - return 2; - default: - throw new IllegalArgumentException("Unknown fetch strategy: " + strategy); - } - } - /** * Derives {@code target_partitions} from the concurrent search mode and * {@code search.concurrent.max_slice_count} setting value. diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java index b3a93f02e7881..52a7b82f40de1 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/GetService.java @@ -208,9 +208,7 @@ private Map readSingleRow(long streamPtr) { */ private long executeInternalSearch(long readerPtr, long runtimePtr, long mode, long bound, String errorMessage) throws IOException { CompletableFuture future = new CompletableFuture<>(); - WireConfigSnapshot configSnapshot = WireConfigSnapshot.builder(dfPlugin.getDatafusionSettings().getSnapshot()) - .queryStrategy(1) - .build(); + WireConfigSnapshot configSnapshot = WireConfigSnapshot.builder(dfPlugin.getDatafusionSettings().getSnapshot()).build(); try (Arena arena = Arena.ofConfined()) { MemorySegment configSegment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); configSnapshot.writeTo(configSegment); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/WireConfigSnapshot.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/WireConfigSnapshot.java index cb468baf59f56..6f72dd3912bed 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/WireConfigSnapshot.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/WireConfigSnapshot.java @@ -26,32 +26,24 @@ public final class WireConfigSnapshot { /** Total byte size of the wire struct ({@code WireDatafusionQueryConfig}). */ - public static final long BYTE_SIZE = 80; + public static final long BYTE_SIZE = 52; private final int batchSize; private final int targetPartitions; - private final boolean parquetPushdownFilters; - private final boolean bloomFilterOnRead; + private final boolean listingTablePushdownFilters; private final int minSkipRunDefault; private final double minSkipRunSelectivityThreshold; - private final int maxCollectorParallelism; - private final int singleCollectorStrategy; - private final int treeCollectorStrategy; - private final int queryStrategy; - private final boolean indexedDynamicFilterPushdown; + private final boolean indexedPushdownFilters; + private final int forceStrategy; private WireConfigSnapshot(Builder builder) { this.batchSize = builder.batchSize; this.targetPartitions = builder.targetPartitions; - this.parquetPushdownFilters = builder.parquetPushdownFilters; - this.bloomFilterOnRead = builder.bloomFilterOnRead; + this.listingTablePushdownFilters = builder.listingTablePushdownFilters; this.minSkipRunDefault = builder.minSkipRunDefault; this.minSkipRunSelectivityThreshold = builder.minSkipRunSelectivityThreshold; - this.maxCollectorParallelism = builder.maxCollectorParallelism; - this.singleCollectorStrategy = builder.singleCollectorStrategy; - this.treeCollectorStrategy = builder.treeCollectorStrategy; - this.queryStrategy = builder.queryStrategy; - this.indexedDynamicFilterPushdown = builder.indexedDynamicFilterPushdown; + this.indexedPushdownFilters = builder.indexedPushdownFilters; + this.forceStrategy = builder.forceStrategy; } public static Builder builder() { @@ -65,15 +57,11 @@ public static Builder builder() { public static Builder builder(WireConfigSnapshot current) { return new Builder().batchSize(current.batchSize) .targetPartitions(current.targetPartitions) - .parquetPushdownFilters(current.parquetPushdownFilters) - .bloomFilterOnRead(current.bloomFilterOnRead) + .listingTablePushdownFilters(current.listingTablePushdownFilters) .minSkipRunDefault(current.minSkipRunDefault) .minSkipRunSelectivityThreshold(current.minSkipRunSelectivityThreshold) - .maxCollectorParallelism(current.maxCollectorParallelism) - .singleCollectorStrategy(current.singleCollectorStrategy) - .treeCollectorStrategy(current.treeCollectorStrategy) - .queryStrategy(current.queryStrategy) - .indexedDynamicFilterPushdown(current.indexedDynamicFilterPushdown); + .indexedPushdownFilters(current.indexedPushdownFilters) + .forceStrategy(current.forceStrategy); } public int batchSize() { @@ -84,12 +72,8 @@ public int targetPartitions() { return targetPartitions; } - public boolean parquetPushdownFilters() { - return parquetPushdownFilters; - } - - public boolean bloomFilterOnRead() { - return bloomFilterOnRead; + public boolean listingTablePushdownFilters() { + return listingTablePushdownFilters; } public int minSkipRunDefault() { @@ -100,24 +84,13 @@ public double minSkipRunSelectivityThreshold() { return minSkipRunSelectivityThreshold; } - public int maxCollectorParallelism() { - return maxCollectorParallelism; - } - - public int singleCollectorStrategy() { - return singleCollectorStrategy; - } - - public int treeCollectorStrategy() { - return treeCollectorStrategy; - } - - public int queryStrategy() { - return queryStrategy; + public boolean indexedPushdownFilters() { + return indexedPushdownFilters; } - public boolean indexedDynamicFilterPushdown() { - return indexedDynamicFilterPushdown; + /** -1 = None (selectivity heuristic), 0 = RowSelection, 1 = BooleanMask. */ + public int forceStrategy() { + return forceStrategy; } /** @@ -125,7 +98,9 @@ public boolean indexedDynamicFilterPushdown() { * {@code WireDatafusionQueryConfig} {@code #[repr(C)]} layout. *

      * The segment must be at least {@link #BYTE_SIZE} bytes and allocated from - * a confined {@code Arena} scoped to the query lifetime. + * a confined {@code Arena} scoped to the query lifetime. Fields that the Rust + * side no longer exposes as settings ({@code cost_predicate}, + * {@code cost_collector}) are written as their fixed hardcoded values. * * 

            * Offset  Size  Field                                Type     Source
@@ -134,19 +109,13 @@ public boolean indexedDynamicFilterPushdown() {
      * 8       8     target_partitions                    i64      from snapshot
      * 16      8     min_skip_run_default                 i64      from snapshot
      * 24      8     min_skip_run_selectivity_threshold   f64      from snapshot
-     * 32      4     parquet_pushdown_filters             i32      from snapshot (0/1)
-     * 36      4     indexed_pushdown_filters             i32      hardcoded 1
-     * 40      4     force_strategy                       i32      hardcoded -1
-     * 44      4     force_pushdown                       i32      hardcoded -1
-     * 48      4     cost_predicate                       i32      hardcoded 1
-     * 52      4     cost_collector                       i32      hardcoded 10
-     * 56      4     max_collector_parallelism            i32      from snapshot
-     * 60      4     single_collector_strategy            i32      from snapshot
-     * 64      4     tree_collector_strategy              i32      from snapshot
-     * 68      4     query_strategy                       i32      from snapshot (0/1/2)
-     * 72      4     bloom_filter_on_read                 i32      from snapshot (0/1)
+     * 32      4     listing_table_pushdown_filters       i32      from snapshot (0/1)
+     * 36      4     indexed_pushdown_filters             i32      from snapshot (0/1)
+     * 40      4     force_strategy                       i32      from snapshot (-1/0/1)
+     * 44      4     cost_predicate                       i32      hardcoded 1
+     * 48      4     cost_collector                       i32      hardcoded 10
      * ──────  ────
-     * Total: 76 bytes
+     * Total: 52 bytes
      *
      * * @param segment the target memory segment (at least {@link #BYTE_SIZE} bytes) @@ -160,30 +129,16 @@ public void writeTo(MemorySegment segment) { segment.set(ValueLayout.JAVA_LONG, 16, (long) minSkipRunDefault); // Offset 24: min_skip_run_selectivity_threshold (f64) segment.set(ValueLayout.JAVA_DOUBLE, 24, minSkipRunSelectivityThreshold); - // Offset 32: parquet_pushdown_filters (i32) — 0 = false, 1 = true - segment.set(ValueLayout.JAVA_INT, 32, parquetPushdownFilters ? 1 : 0); - // Offset 36: indexed_pushdown_filters (i32) — always 1 (hardcoded) - segment.set(ValueLayout.JAVA_INT, 36, 1); - // Offset 40: force_strategy (i32) — always -1 (None) - segment.set(ValueLayout.JAVA_INT, 40, -1); - // Offset 44: force_pushdown (i32) — always -1 (None) - segment.set(ValueLayout.JAVA_INT, 44, -1); - // Offset 48: cost_predicate (i32) — hardcoded 1 - segment.set(ValueLayout.JAVA_INT, 48, 1); - // Offset 52: cost_collector (i32) — hardcoded 10 - segment.set(ValueLayout.JAVA_INT, 52, 10); - // Offset 56: max_collector_parallelism (i32) - segment.set(ValueLayout.JAVA_INT, 56, maxCollectorParallelism); - // Offset 60: single_collector_strategy (i32) - segment.set(ValueLayout.JAVA_INT, 60, singleCollectorStrategy); - // Offset 64: tree_collector_strategy (i32) - segment.set(ValueLayout.JAVA_INT, 64, treeCollectorStrategy); - // Offset 68: query_strategy (i32) — 0 = None, 1 = ListingTable, 2 = IndexedPredicateOnly - segment.set(ValueLayout.JAVA_INT, 68, queryStrategy); - // Offset 72: bloom_filter_on_read (i32) — 0 = false, 1 = true - segment.set(ValueLayout.JAVA_INT, 72, bloomFilterOnRead ? 1 : 0); - // Offset 76: indexed_dynamic_filter_pushdown (i32) — 0 = false, 1 = true - segment.set(ValueLayout.JAVA_INT, 76, indexedDynamicFilterPushdown ? 1 : 0); + // Offset 32: listing_table_pushdown_filters (i32) — 0 = false, 1 = true + segment.set(ValueLayout.JAVA_INT, 32, listingTablePushdownFilters ? 1 : 0); + // Offset 36: indexed_pushdown_filters (i32) — 0 = false, 1 = true + segment.set(ValueLayout.JAVA_INT, 36, indexedPushdownFilters ? 1 : 0); + // Offset 40: force_strategy (i32) — -1 = None, 0 = RowSelection, 1 = BooleanMask + segment.set(ValueLayout.JAVA_INT, 40, forceStrategy); + // Offset 44: cost_predicate (i32) — hardcoded 1 + segment.set(ValueLayout.JAVA_INT, 44, 1); + // Offset 48: cost_collector (i32) — hardcoded 10 + segment.set(ValueLayout.JAVA_INT, 48, 10); } /** @@ -193,15 +148,11 @@ public void writeTo(MemorySegment segment) { public static final class Builder { private int batchSize = 8192; private int targetPartitions = 4; - private boolean parquetPushdownFilters = false; - private boolean bloomFilterOnRead = true; + private boolean listingTablePushdownFilters = false; private int minSkipRunDefault = 1024; private double minSkipRunSelectivityThreshold = 0.03; - private int maxCollectorParallelism = 1; - private int singleCollectorStrategy = 2; // PageRangeSplit - private int treeCollectorStrategy = 1; // TightenOuterBounds - private int queryStrategy = 2; // IndexedPredicateOnly (matches DatafusionSettings default "indexed") - private boolean indexedDynamicFilterPushdown = true; // runtime TopK/join RG pruning on by default + private boolean indexedPushdownFilters = true; + private int forceStrategy = -1; private Builder() {} @@ -215,13 +166,8 @@ public Builder targetPartitions(int targetPartitions) { return this; } - public Builder parquetPushdownFilters(boolean parquetPushdownFilters) { - this.parquetPushdownFilters = parquetPushdownFilters; - return this; - } - - public Builder bloomFilterOnRead(boolean bloomFilterOnRead) { - this.bloomFilterOnRead = bloomFilterOnRead; + public Builder listingTablePushdownFilters(boolean listingTablePushdownFilters) { + this.listingTablePushdownFilters = listingTablePushdownFilters; return this; } @@ -235,28 +181,14 @@ public Builder minSkipRunSelectivityThreshold(double minSkipRunSelectivityThresh return this; } - public Builder maxCollectorParallelism(int maxCollectorParallelism) { - this.maxCollectorParallelism = maxCollectorParallelism; - return this; - } - - public Builder singleCollectorStrategy(int singleCollectorStrategy) { - this.singleCollectorStrategy = singleCollectorStrategy; - return this; - } - - public Builder treeCollectorStrategy(int treeCollectorStrategy) { - this.treeCollectorStrategy = treeCollectorStrategy; - return this; - } - - public Builder queryStrategy(int queryStrategy) { - this.queryStrategy = queryStrategy; + public Builder indexedPushdownFilters(boolean indexedPushdownFilters) { + this.indexedPushdownFilters = indexedPushdownFilters; return this; } - public Builder indexedDynamicFilterPushdown(boolean indexedDynamicFilterPushdown) { - this.indexedDynamicFilterPushdown = indexedDynamicFilterPushdown; + /** @param forceStrategy -1 = None (heuristic), 0 = RowSelection, 1 = BooleanMask. */ + public Builder forceStrategy(int forceStrategy) { + this.forceStrategy = forceStrategy; return this; } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index c7fdbfc2701d6..be7142952b5de 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -99,15 +99,10 @@ public void testGetSettingsReturnsAllIndexedSettings() { List> settings = plugin.getSettings(); Set settingKeys = settings.stream().map(Setting::getKey).collect(Collectors.toSet()); - assertTrue(settingKeys.contains("datafusion.indexed.batch_size")); - assertTrue(settingKeys.contains("datafusion.indexed.parquet_pushdown_filters")); - assertTrue(settingKeys.contains("datafusion.indexed.bloom_filter_on_read")); + assertTrue(settingKeys.contains("datafusion.batch_size")); + assertTrue(settingKeys.contains("datafusion.listing_table.pushdown_filters")); assertTrue(settingKeys.contains("datafusion.indexed.min_skip_run_default")); assertTrue(settingKeys.contains("datafusion.indexed.min_skip_run_selectivity_threshold")); - assertTrue(settingKeys.contains("datafusion.indexed.single_collector_strategy")); - assertTrue(settingKeys.contains("datafusion.indexed.tree_collector_strategy")); - assertTrue(settingKeys.contains("datafusion.indexed.max_collector_parallelism")); - assertTrue(settingKeys.contains("datafusion.indexed.query_strategy")); } catch (Exception e) { throw new AssertionError(e); } @@ -116,7 +111,7 @@ public void testGetSettingsReturnsAllIndexedSettings() { public void testGetSettingsReturnsTotalExpectedCount() { try (DataFusionPlugin plugin = new DataFusionPlugin()) { List> settings = plugin.getSettings(); - assertEquals(35, settings.size()); + assertEquals(31, settings.size()); } catch (Exception e) { throw new AssertionError(e); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsPropertyTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsPropertyTests.java index c215c3e02619c..2caf8b4e1c2eb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsPropertyTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsPropertyTests.java @@ -20,7 +20,6 @@ public class DatafusionSettingsPropertyTests extends OpenSearchTestCase { private static final int ITERATIONS = 200; - private static final String[] STRATEGIES = { "full_range", "tighten_outer_bounds", "page_range_split" }; private ClusterSettings createClusterSettings() { Set> settingsSet = new HashSet<>(DatafusionSettings.ALL_SETTINGS); @@ -37,38 +36,32 @@ public void testSnapshotUpdateConsistencyProperty() { WireConfigSnapshot before = datafusionSettings.getSnapshot(); - int settingIndex = randomIntBetween(0, 8); + int settingIndex = randomIntBetween(0, 5); Settings newSettings; switch (settingIndex) { case 0: // batch_size int newBatchSize = randomIntBetween(1, 1_000_000); - newSettings = Settings.builder().put("datafusion.indexed.batch_size", newBatchSize).build(); + newSettings = Settings.builder().put("datafusion.batch_size", newBatchSize).build(); clusterSettings.applySettings(newSettings); WireConfigSnapshot afterBatch = datafusionSettings.getSnapshot(); assertEquals(newBatchSize, afterBatch.batchSize()); assertEquals(before.targetPartitions(), afterBatch.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterBatch.parquetPushdownFilters()); + assertEquals(before.listingTablePushdownFilters(), afterBatch.listingTablePushdownFilters()); assertEquals(before.minSkipRunDefault(), afterBatch.minSkipRunDefault()); assertEquals(before.minSkipRunSelectivityThreshold(), afterBatch.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterBatch.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterBatch.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterBatch.maxCollectorParallelism()); break; - case 1: // parquet_pushdown_filters - boolean newPushdown = before.parquetPushdownFilters() == false; - newSettings = Settings.builder().put("datafusion.indexed.parquet_pushdown_filters", newPushdown).build(); + case 1: // listing_table.pushdown_filters + boolean newPushdown = before.listingTablePushdownFilters() == false; + newSettings = Settings.builder().put("datafusion.listing_table.pushdown_filters", newPushdown).build(); clusterSettings.applySettings(newSettings); WireConfigSnapshot afterPushdown = datafusionSettings.getSnapshot(); - assertEquals(newPushdown, afterPushdown.parquetPushdownFilters()); + assertEquals(newPushdown, afterPushdown.listingTablePushdownFilters()); assertEquals(before.batchSize(), afterPushdown.batchSize()); assertEquals(before.targetPartitions(), afterPushdown.targetPartitions()); assertEquals(before.minSkipRunDefault(), afterPushdown.minSkipRunDefault()); assertEquals(before.minSkipRunSelectivityThreshold(), afterPushdown.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterPushdown.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterPushdown.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterPushdown.maxCollectorParallelism()); break; case 2: // min_skip_run_default @@ -79,11 +72,8 @@ public void testSnapshotUpdateConsistencyProperty() { assertEquals(newMinSkipRun, afterSkipRun.minSkipRunDefault()); assertEquals(before.batchSize(), afterSkipRun.batchSize()); assertEquals(before.targetPartitions(), afterSkipRun.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterSkipRun.parquetPushdownFilters()); + assertEquals(before.listingTablePushdownFilters(), afterSkipRun.listingTablePushdownFilters()); assertEquals(before.minSkipRunSelectivityThreshold(), afterSkipRun.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterSkipRun.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterSkipRun.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterSkipRun.maxCollectorParallelism()); break; case 3: // min_skip_run_selectivity_threshold @@ -94,85 +84,31 @@ public void testSnapshotUpdateConsistencyProperty() { assertEquals(newThreshold, afterThreshold.minSkipRunSelectivityThreshold(), 1e-15); assertEquals(before.batchSize(), afterThreshold.batchSize()); assertEquals(before.targetPartitions(), afterThreshold.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterThreshold.parquetPushdownFilters()); + assertEquals(before.listingTablePushdownFilters(), afterThreshold.listingTablePushdownFilters()); assertEquals(before.minSkipRunDefault(), afterThreshold.minSkipRunDefault()); - assertEquals(before.singleCollectorStrategy(), afterThreshold.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterThreshold.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterThreshold.maxCollectorParallelism()); break; - case 4: // single_collector_strategy - String newSingle = STRATEGIES[randomIntBetween(0, 2)]; - newSettings = Settings.builder().put("datafusion.indexed.single_collector_strategy", newSingle).build(); - clusterSettings.applySettings(newSettings); - WireConfigSnapshot afterSingle = datafusionSettings.getSnapshot(); - assertEquals(DatafusionSettings.strategyToWireValue(newSingle), afterSingle.singleCollectorStrategy()); - assertEquals(before.batchSize(), afterSingle.batchSize()); - assertEquals(before.targetPartitions(), afterSingle.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterSingle.parquetPushdownFilters()); - assertEquals(before.minSkipRunDefault(), afterSingle.minSkipRunDefault()); - assertEquals(before.minSkipRunSelectivityThreshold(), afterSingle.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.treeCollectorStrategy(), afterSingle.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterSingle.maxCollectorParallelism()); - break; - - case 5: // tree_collector_strategy - String newTree = STRATEGIES[randomIntBetween(0, 2)]; - newSettings = Settings.builder().put("datafusion.indexed.tree_collector_strategy", newTree).build(); - clusterSettings.applySettings(newSettings); - WireConfigSnapshot afterTree = datafusionSettings.getSnapshot(); - assertEquals(DatafusionSettings.strategyToWireValue(newTree), afterTree.treeCollectorStrategy()); - assertEquals(before.batchSize(), afterTree.batchSize()); - assertEquals(before.targetPartitions(), afterTree.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterTree.parquetPushdownFilters()); - assertEquals(before.minSkipRunDefault(), afterTree.minSkipRunDefault()); - assertEquals(before.minSkipRunSelectivityThreshold(), afterTree.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterTree.singleCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterTree.maxCollectorParallelism()); - break; - - case 6: // max_collector_parallelism - int newMaxParallelism = randomIntBetween(1, 64); - newSettings = Settings.builder().put("datafusion.indexed.max_collector_parallelism", newMaxParallelism).build(); - clusterSettings.applySettings(newSettings); - WireConfigSnapshot afterParallelism = datafusionSettings.getSnapshot(); - assertEquals(newMaxParallelism, afterParallelism.maxCollectorParallelism()); - assertEquals(before.batchSize(), afterParallelism.batchSize()); - assertEquals(before.targetPartitions(), afterParallelism.targetPartitions()); - assertEquals(before.parquetPushdownFilters(), afterParallelism.parquetPushdownFilters()); - assertEquals(before.minSkipRunDefault(), afterParallelism.minSkipRunDefault()); - assertEquals(before.minSkipRunSelectivityThreshold(), afterParallelism.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterParallelism.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterParallelism.treeCollectorStrategy()); - break; - - case 7: // max_slice_count + case 4: // max_slice_count int newSliceCount = randomIntBetween(1, 32); newSettings = Settings.builder().put("search.concurrent.max_slice_count", newSliceCount).build(); clusterSettings.applySettings(newSettings); WireConfigSnapshot afterSlice = datafusionSettings.getSnapshot(); assertEquals(Math.min(newSliceCount, Runtime.getRuntime().availableProcessors()), afterSlice.targetPartitions()); assertEquals(before.batchSize(), afterSlice.batchSize()); - assertEquals(before.parquetPushdownFilters(), afterSlice.parquetPushdownFilters()); + assertEquals(before.listingTablePushdownFilters(), afterSlice.listingTablePushdownFilters()); assertEquals(before.minSkipRunDefault(), afterSlice.minSkipRunDefault()); assertEquals(before.minSkipRunSelectivityThreshold(), afterSlice.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterSlice.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterSlice.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterSlice.maxCollectorParallelism()); break; - case 8: // concurrent_search_mode + case 5: // concurrent_search_mode newSettings = Settings.builder().put("search.concurrent_segment_search.mode", "none").build(); clusterSettings.applySettings(newSettings); WireConfigSnapshot afterMode = datafusionSettings.getSnapshot(); assertEquals(1, afterMode.targetPartitions()); assertEquals(before.batchSize(), afterMode.batchSize()); - assertEquals(before.parquetPushdownFilters(), afterMode.parquetPushdownFilters()); + assertEquals(before.listingTablePushdownFilters(), afterMode.listingTablePushdownFilters()); assertEquals(before.minSkipRunDefault(), afterMode.minSkipRunDefault()); assertEquals(before.minSkipRunSelectivityThreshold(), afterMode.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(before.singleCollectorStrategy(), afterMode.singleCollectorStrategy()); - assertEquals(before.treeCollectorStrategy(), afterMode.treeCollectorStrategy()); - assertEquals(before.maxCollectorParallelism(), afterMode.maxCollectorParallelism()); break; default: @@ -188,13 +124,11 @@ public void testSequentialUpdatesAccumulateCorrectly() { datafusionSettings.registerListeners(clusterSettings); int newBatchSize = randomIntBetween(1, 1_000_000); - String newSingleStrategy = STRATEGIES[randomIntBetween(0, 2)]; double newThreshold = randomDoubleBetween(0.0, 1.0, true); clusterSettings.applySettings( Settings.builder() - .put("datafusion.indexed.batch_size", newBatchSize) - .put("datafusion.indexed.single_collector_strategy", newSingleStrategy) + .put("datafusion.batch_size", newBatchSize) .put("datafusion.indexed.min_skip_run_selectivity_threshold", newThreshold) .build() ); @@ -202,11 +136,9 @@ public void testSequentialUpdatesAccumulateCorrectly() { WireConfigSnapshot finalSnapshot = datafusionSettings.getSnapshot(); assertEquals(newBatchSize, finalSnapshot.batchSize()); - assertEquals(DatafusionSettings.strategyToWireValue(newSingleStrategy), finalSnapshot.singleCollectorStrategy()); assertEquals(newThreshold, finalSnapshot.minSkipRunSelectivityThreshold(), 1e-15); - assertEquals(false, finalSnapshot.parquetPushdownFilters()); + assertEquals(false, finalSnapshot.listingTablePushdownFilters()); assertEquals(1024, finalSnapshot.minSkipRunDefault()); - assertEquals(1, finalSnapshot.maxCollectorParallelism()); } } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java index 915a7f378f444..e7cde67cd052d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java @@ -17,17 +17,24 @@ public class DatafusionSettingsTests extends OpenSearchTestCase { private static final int DEFAULT_PARALLELISM = Math.max(1, Math.min(Runtime.getRuntime().availableProcessors() / 2, 4)); public void testBatchSizeSettingDefinition() { - assertEquals("datafusion.indexed.batch_size", DatafusionSettings.INDEXED_BATCH_SIZE.getKey()); - assertEquals(Integer.valueOf(8192), DatafusionSettings.INDEXED_BATCH_SIZE.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_BATCH_SIZE.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_BATCH_SIZE.hasNodeScope()); + assertEquals("datafusion.batch_size", DatafusionSettings.BATCH_SIZE.getKey()); + assertEquals(Integer.valueOf(8192), DatafusionSettings.BATCH_SIZE.get(Settings.EMPTY)); + assertTrue(DatafusionSettings.BATCH_SIZE.isDynamic()); + assertTrue(DatafusionSettings.BATCH_SIZE.hasNodeScope()); } - public void testParquetPushdownFiltersSettingDefinition() { - assertEquals("datafusion.indexed.parquet_pushdown_filters", DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS.getKey()); - assertEquals(Boolean.FALSE, DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS.hasNodeScope()); + public void testListingTablePushdownFiltersSettingDefinition() { + assertEquals("datafusion.listing_table.pushdown_filters", DatafusionSettings.LISTING_TABLE_PUSHDOWN_FILTERS.getKey()); + assertEquals(Boolean.FALSE, DatafusionSettings.LISTING_TABLE_PUSHDOWN_FILTERS.get(Settings.EMPTY)); + assertTrue(DatafusionSettings.LISTING_TABLE_PUSHDOWN_FILTERS.isDynamic()); + assertTrue(DatafusionSettings.LISTING_TABLE_PUSHDOWN_FILTERS.hasNodeScope()); + } + + public void testIndexedPushdownFiltersSettingDefinition() { + assertEquals("datafusion.indexed.pushdown_filters", DatafusionSettings.INDEXED_PUSHDOWN_FILTERS.getKey()); + assertEquals(Boolean.TRUE, DatafusionSettings.INDEXED_PUSHDOWN_FILTERS.get(Settings.EMPTY)); + assertTrue(DatafusionSettings.INDEXED_PUSHDOWN_FILTERS.isDynamic()); + assertTrue(DatafusionSettings.INDEXED_PUSHDOWN_FILTERS.hasNodeScope()); } public void testMinSkipRunDefaultSettingDefinition() { @@ -47,42 +54,43 @@ public void testMinSkipRunSelectivityThresholdSettingDefinition() { assertTrue(DatafusionSettings.INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD.hasNodeScope()); } - public void testSingleCollectorStrategySettingDefinition() { - assertEquals("datafusion.indexed.single_collector_strategy", DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY.getKey()); - assertEquals("page_range_split", DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY.hasNodeScope()); - } - - public void testTreeCollectorStrategySettingDefinition() { - assertEquals("datafusion.indexed.tree_collector_strategy", DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY.getKey()); - assertEquals("tighten_outer_bounds", DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY.hasNodeScope()); - } - - public void testMaxCollectorParallelismSettingDefinition() { - assertEquals("datafusion.indexed.max_collector_parallelism", DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM.getKey()); - assertEquals(Integer.valueOf(1), DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM.hasNodeScope()); - } - public void testAllSettingsContainsAllExpectedSettings() { - assertEquals(35, DatafusionSettings.ALL_SETTINGS.size()); + assertEquals(31, DatafusionSettings.ALL_SETTINGS.size()); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_REDUCE_TARGET_PARTITIONS)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_SPILL_DIRECTORY)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_BATCH_SIZE)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_PARQUET_PUSHDOWN_FILTERS)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_BLOOM_FILTER_ON_READ)); + assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.BATCH_SIZE)); + assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.LISTING_TABLE_PUSHDOWN_FILTERS)); + assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_PUSHDOWN_FILTERS)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_MIN_SKIP_RUN_DEFAULT)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_QUERY_STRATEGY)); - assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_DYNAMIC_FILTER_PUSHDOWN)); + assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DatafusionSettings.INDEXED_FORCE_STRATEGY)); + } + + public void testForceStrategySettingDefaultsAndMapping() { + assertEquals("datafusion.indexed.force_strategy", DatafusionSettings.INDEXED_FORCE_STRATEGY.getKey()); + assertEquals("none", DatafusionSettings.INDEXED_FORCE_STRATEGY.get(Settings.EMPTY)); + assertTrue(DatafusionSettings.INDEXED_FORCE_STRATEGY.isDynamic()); + assertTrue(DatafusionSettings.INDEXED_FORCE_STRATEGY.hasNodeScope()); + + assertEquals(-1, DatafusionSettings.forceStrategyToWire("none")); + assertEquals(0, DatafusionSettings.forceStrategyToWire("row_selection")); + assertEquals(1, DatafusionSettings.forceStrategyToWire("boolean_mask")); + + // Default snapshot encodes None (-1). + assertEquals(-1, new DatafusionSettings(Settings.EMPTY).getSnapshot().forceStrategy()); + + // A configured value flows into the snapshot. + DatafusionSettings ds = new DatafusionSettings(Settings.builder().put("datafusion.indexed.force_strategy", "boolean_mask").build()); + assertEquals(1, ds.getSnapshot().forceStrategy()); + + // Invalid values are rejected at parse time. + expectThrows( + IllegalArgumentException.class, + () -> DatafusionSettings.INDEXED_FORCE_STRATEGY.get( + Settings.builder().put("datafusion.indexed.force_strategy", "bogus").build() + ) + ); } public void testDefaultSnapshotValuesMatchDefaults() { @@ -90,15 +98,10 @@ public void testDefaultSnapshotValuesMatchDefaults() { WireConfigSnapshot snapshot = ds.getSnapshot(); assertEquals(8192, snapshot.batchSize()); - assertEquals(false, snapshot.parquetPushdownFilters()); - assertEquals(true, snapshot.bloomFilterOnRead()); + assertEquals(false, snapshot.listingTablePushdownFilters()); assertEquals(1024, snapshot.minSkipRunDefault()); assertEquals(0.03, snapshot.minSkipRunSelectivityThreshold(), 1e-15); - assertEquals(2, snapshot.singleCollectorStrategy()); // page_range_split - assertEquals(1, snapshot.treeCollectorStrategy()); // tighten_outer_bounds - assertEquals(1, snapshot.maxCollectorParallelism()); assertEquals(DEFAULT_PARALLELISM, snapshot.targetPartitions()); - assertEquals(2, snapshot.queryStrategy()); // indexed } public void testTargetPartitionsPassthroughWhenNonZero() { @@ -136,54 +139,13 @@ public void testTargetPartitionsCappedAtAvailableProcessors() { assertEquals(processors, ds.getSnapshot().targetPartitions()); } - public void testStrategyToWireValueMapping() { - assertEquals(0, DatafusionSettings.strategyToWireValue("full_range")); - assertEquals(1, DatafusionSettings.strategyToWireValue("tighten_outer_bounds")); - assertEquals(2, DatafusionSettings.strategyToWireValue("page_range_split")); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.strategyToWireValue("invalid")); - } - - public void testQueryStrategySettingDefinition() { - assertEquals("datafusion.indexed.query_strategy", DatafusionSettings.INDEXED_QUERY_STRATEGY.getKey()); - assertEquals("indexed", DatafusionSettings.INDEXED_QUERY_STRATEGY.get(Settings.EMPTY)); - assertTrue(DatafusionSettings.INDEXED_QUERY_STRATEGY.isDynamic()); - assertTrue(DatafusionSettings.INDEXED_QUERY_STRATEGY.hasNodeScope()); - } - - public void testQueryStrategyToWireValueMapping() { - assertEquals(0, DatafusionSettings.queryStrategyToWireValue("none")); - assertEquals(1, DatafusionSettings.queryStrategyToWireValue("listing_table")); - assertEquals(2, DatafusionSettings.queryStrategyToWireValue("indexed")); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.queryStrategyToWireValue("invalid")); - } - - public void testInvalidQueryStrategyIsRejected() { - Settings settings = Settings.builder().put("datafusion.indexed.query_strategy", "bogus").build(); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_QUERY_STRATEGY.get(settings)); - } - public void testBatchSizeZeroIsRejected() { - Settings settings = Settings.builder().put("datafusion.indexed.batch_size", 0).build(); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_BATCH_SIZE.get(settings)); - } - - public void testMaxCollectorParallelismNegativeIsRejected() { - Settings settings = Settings.builder().put("datafusion.indexed.max_collector_parallelism", -1).build(); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_MAX_COLLECTOR_PARALLELISM.get(settings)); + Settings settings = Settings.builder().put("datafusion.batch_size", 0).build(); + expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.BATCH_SIZE.get(settings)); } public void testSelectivityThresholdAboveBoundIsRejected() { Settings settings = Settings.builder().put("datafusion.indexed.min_skip_run_selectivity_threshold", 1.1).build(); expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD.get(settings)); } - - public void testInvalidSingleCollectorStrategyIsRejected() { - Settings settings = Settings.builder().put("datafusion.indexed.single_collector_strategy", "bogus").build(); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_SINGLE_COLLECTOR_STRATEGY.get(settings)); - } - - public void testInvalidTreeCollectorStrategyIsRejected() { - Settings settings = Settings.builder().put("datafusion.indexed.tree_collector_strategy", "bogus").build(); - expectThrows(IllegalArgumentException.class, () -> DatafusionSettings.INDEXED_TREE_COLLECTOR_STRATEGY.get(settings)); - } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/WireConfigSnapshotTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/WireConfigSnapshotTests.java index 3bd9a927cfe0d..40beaa0d0f6ee 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/WireConfigSnapshotTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/WireConfigSnapshotTests.java @@ -17,21 +17,16 @@ public class WireConfigSnapshotTests extends OpenSearchTestCase { public void testByteSize() { - assertEquals(80L, WireConfigSnapshot.BYTE_SIZE); + assertEquals(52L, WireConfigSnapshot.BYTE_SIZE); } public void testWriteToWritesCorrectValuesAtCorrectOffsets() { WireConfigSnapshot snapshot = WireConfigSnapshot.builder() .batchSize(8192) .targetPartitions(4) - .parquetPushdownFilters(true) + .listingTablePushdownFilters(true) .minSkipRunDefault(1024) .minSkipRunSelectivityThreshold(0.03) - .maxCollectorParallelism(4) - .singleCollectorStrategy(2) - .treeCollectorStrategy(1) - .queryStrategy(2) - .indexedDynamicFilterPushdown(true) .build(); try (Arena arena = Arena.ofConfined()) { @@ -42,17 +37,12 @@ public void testWriteToWritesCorrectValuesAtCorrectOffsets() { assertEquals(4L, segment.get(ValueLayout.JAVA_LONG, 8)); assertEquals(1024L, segment.get(ValueLayout.JAVA_LONG, 16)); assertEquals(0.03, segment.get(ValueLayout.JAVA_DOUBLE, 24), 1e-15); - assertEquals(1, segment.get(ValueLayout.JAVA_INT, 32)); // parquet_pushdown = true - assertEquals(4, segment.get(ValueLayout.JAVA_INT, 56)); // max_collector_parallelism - assertEquals(2, segment.get(ValueLayout.JAVA_INT, 60)); // single_collector_strategy - assertEquals(1, segment.get(ValueLayout.JAVA_INT, 64)); // tree_collector_strategy - assertEquals(2, segment.get(ValueLayout.JAVA_INT, 68)); // query_strategy = IndexedPredicateOnly - assertEquals(1, segment.get(ValueLayout.JAVA_INT, 76)); // indexed_dynamic_filter_pushdown = true + assertEquals(1, segment.get(ValueLayout.JAVA_INT, 32)); // listing_table_pushdown = true } } - public void testWriteToWritesParquetPushdownFalseAsZero() { - WireConfigSnapshot snapshot = WireConfigSnapshot.builder().parquetPushdownFilters(false).build(); + public void testWriteToWritesListingTablePushdownFalseAsZero() { + WireConfigSnapshot snapshot = WireConfigSnapshot.builder().listingTablePushdownFilters(false).build(); try (Arena arena = Arena.ofConfined()) { MemorySegment segment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); @@ -63,17 +53,41 @@ public void testWriteToWritesParquetPushdownFalseAsZero() { } public void testHardcodedFieldsAreWrittenCorrectly() { - WireConfigSnapshot snapshot = WireConfigSnapshot.builder().batchSize(16384).targetPartitions(8).maxCollectorParallelism(6).build(); + WireConfigSnapshot snapshot = WireConfigSnapshot.builder().batchSize(16384).targetPartitions(8).build(); try (Arena arena = Arena.ofConfined()) { MemorySegment segment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); snapshot.writeTo(segment); - assertEquals(1, segment.get(ValueLayout.JAVA_INT, 36)); // indexed_pushdown_filters - assertEquals(-1, segment.get(ValueLayout.JAVA_INT, 40)); // force_strategy - assertEquals(-1, segment.get(ValueLayout.JAVA_INT, 44)); // force_pushdown - assertEquals(1, segment.get(ValueLayout.JAVA_INT, 48)); // cost_predicate (hardcoded) - assertEquals(10, segment.get(ValueLayout.JAVA_INT, 52)); // cost_collector (hardcoded) + assertEquals(1, segment.get(ValueLayout.JAVA_INT, 36)); // indexed_pushdown_filters default (true) + assertEquals(-1, segment.get(ValueLayout.JAVA_INT, 40)); // force_strategy default (None) + assertEquals(1, segment.get(ValueLayout.JAVA_INT, 44)); // cost_predicate (hardcoded) + assertEquals(10, segment.get(ValueLayout.JAVA_INT, 48)); // cost_collector (hardcoded) + } + } + + public void testIndexedPushdownFiltersIsWrittenFromSnapshot() { + for (boolean v : new boolean[] { true, false }) { + WireConfigSnapshot snapshot = WireConfigSnapshot.builder().indexedPushdownFilters(v).build(); + try (Arena arena = Arena.ofConfined()) { + MemorySegment segment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); + snapshot.writeTo(segment); + assertEquals(v ? 1 : 0, segment.get(ValueLayout.JAVA_INT, 36)); + } + assertEquals(v, snapshot.indexedPushdownFilters()); + } + } + + public void testForceStrategyIsWrittenFromSnapshot() { + // 0 = RowSelection, 1 = BooleanMask, -1 = None + for (int wire : new int[] { -1, 0, 1 }) { + WireConfigSnapshot snapshot = WireConfigSnapshot.builder().forceStrategy(wire).build(); + try (Arena arena = Arena.ofConfined()) { + MemorySegment segment = arena.allocate(WireConfigSnapshot.BYTE_SIZE); + snapshot.writeTo(segment); + assertEquals(wire, segment.get(ValueLayout.JAVA_INT, 40)); + } + assertEquals(wire, snapshot.forceStrategy()); } } @@ -82,44 +96,31 @@ public void testBuilderDefaultsMatchExpected() { assertEquals(8192, snapshot.batchSize()); assertEquals(4, snapshot.targetPartitions()); - assertEquals(false, snapshot.parquetPushdownFilters()); - assertEquals(true, snapshot.bloomFilterOnRead()); + assertEquals(false, snapshot.listingTablePushdownFilters()); assertEquals(1024, snapshot.minSkipRunDefault()); assertEquals(0.03, snapshot.minSkipRunSelectivityThreshold(), 1e-15); - assertEquals(1, snapshot.maxCollectorParallelism()); - assertEquals(2, snapshot.singleCollectorStrategy()); // page_range_split - assertEquals(1, snapshot.treeCollectorStrategy()); // tighten_outer_bounds - assertEquals(2, snapshot.queryStrategy()); // IndexedPredicateOnly - assertEquals(true, snapshot.indexedDynamicFilterPushdown()); // on by default + assertEquals(true, snapshot.indexedPushdownFilters()); } public void testBuilderCopyPreservesAllFields() { WireConfigSnapshot original = WireConfigSnapshot.builder() .batchSize(4096) .targetPartitions(16) - .parquetPushdownFilters(true) - .bloomFilterOnRead(false) + .listingTablePushdownFilters(true) .minSkipRunDefault(512) .minSkipRunSelectivityThreshold(0.5) - .maxCollectorParallelism(8) - .singleCollectorStrategy(0) - .treeCollectorStrategy(2) - .queryStrategy(1) - .indexedDynamicFilterPushdown(false) + .indexedPushdownFilters(false) + .forceStrategy(1) .build(); WireConfigSnapshot copy = WireConfigSnapshot.builder(original).build(); assertEquals(original.batchSize(), copy.batchSize()); assertEquals(original.targetPartitions(), copy.targetPartitions()); - assertEquals(original.parquetPushdownFilters(), copy.parquetPushdownFilters()); - assertEquals(original.bloomFilterOnRead(), copy.bloomFilterOnRead()); + assertEquals(original.listingTablePushdownFilters(), copy.listingTablePushdownFilters()); assertEquals(original.minSkipRunDefault(), copy.minSkipRunDefault()); assertEquals(original.minSkipRunSelectivityThreshold(), copy.minSkipRunSelectivityThreshold(), 0.0); - assertEquals(original.maxCollectorParallelism(), copy.maxCollectorParallelism()); - assertEquals(original.singleCollectorStrategy(), copy.singleCollectorStrategy()); - assertEquals(original.treeCollectorStrategy(), copy.treeCollectorStrategy()); - assertEquals(original.queryStrategy(), copy.queryStrategy()); - assertEquals(original.indexedDynamicFilterPushdown(), copy.indexedDynamicFilterPushdown()); + assertEquals(original.indexedPushdownFilters(), copy.indexedPushdownFilters()); + assertEquals(original.forceStrategy(), copy.forceStrategy()); } } From 50accb8c6386d423a1ce8e9a0a55e313bdf54979 Mon Sep 17 00:00:00 2001 From: Suresh N S <41610499+nssuresh2007@users.noreply.github.com> Date: Wed, 24 Jun 2026 23:46:58 +0530 Subject: [PATCH 40/94] Bug fix to throw 400 instead of 500 (#22304) * Bug fix to throw 400 instead of 500 When no viable backend is present, it should be thrown as 400 error so that the meaningful error can be propagated to the client. Currently it is getting redacted since it is thrown as 500 Signed-off-by: Suresh N S * Disabling the failing test Signed-off-by: Suresh N S --------- Signed-off-by: Suresh N S --- .../analytics/planner/rules/OpenSearchFilterRule.java | 4 +++- .../org/opensearch/analytics/planner/FilterRuleTests.java | 6 +++++- .../org/opensearch/composite/CompositeForceMergeIT.java | 1 + 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java index a1e4540c01dcb..11a00b65b22f1 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchFilterRule.java @@ -224,7 +224,9 @@ private List resolveViableBackends( viableSet.retainAll(registry.filterBackendsForField(function, storageInfo)); } if (viableSet.isEmpty()) { - throw new IllegalStateException( + // No viable alternatives is a client error (IllegalArgumentException -> HTTP 400) so the actionable + // message is surfaced to the caller instead of being redacted as a 500. + throw new IllegalArgumentException( "No backend can evaluate filter predicate [" + predicate.getKind() + "] on literal-named fields " diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java index b1c64587bf74d..145a095a428f1 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/FilterRuleTests.java @@ -449,6 +449,10 @@ public void testInStringLiteralNonTextRejectedViaExtractor() { * rejection. The query still fails — no backend supports {@code query_string} on a {@code long} * field — but via the capability-viability path, not the friendly type-rejection. The distinct * error proves the lenient gate skipped {@code rejectNonTextFieldsForTextFunction}. + * + *

      The viability failure is a query-level (client) error, so it surfaces as an + * {@link IllegalArgumentException} (HTTP 400 with the actionable message preserved) rather + * than an {@link IllegalStateException} (which would be redacted as a 500). */ public void testLenientTrueSuppressesEagerRejectionViaExtractor() { FieldReferences refs = new FieldReferences(List.of("severityNumber"), List.of(), true); @@ -457,7 +461,7 @@ public void testLenientTrueSuppressesEagerRejectionViaExtractor() { LogicalFilter filter = LogicalFilter.create(stubScan(table), condition); PlannerContext context = buildContext("parquet", Map.of("severityNumber", Map.of("type", "long")), backendsWithExtractor(refs)); - IllegalStateException exception = expectThrows(IllegalStateException.class, () -> runPlanner(filter, context)); + IllegalArgumentException exception = expectThrows(IllegalArgumentException.class, () -> runPlanner(filter, context)); assertTrue( "Should fail via viability, not eager rejection: " + exception.getMessage(), exception.getMessage().contains("No backend can evaluate") diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeForceMergeIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeForceMergeIT.java index 788202f040ca6..0b094ae2b5027 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeForceMergeIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeForceMergeIT.java @@ -97,6 +97,7 @@ public void testForceMergeReducesSegmentsToOne() throws Exception { assertEquals(docsPerCycle * cycles, getTotalDocCount()); } + @AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/issues/22307") public void testForceMergeWithMaxNumSegmentsGreaterThanOne() throws Exception { client().admin() .indices() From e3831ffc74b9e198fa59f09a6571376b46dcb905 Mon Sep 17 00:00:00 2001 From: Marc Handalian Date: Wed, 24 Jun 2026 14:08:51 -0700 Subject: [PATCH 41/94] Drive parent stage terminal when a child stage is cancelled (#22284) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit A CANCELLED child only closed the parent's input without propagating cancel, so the parent's pending count never drained — it stranded in RUNNING, the root never mirrored to the query, and the coordinator task leaked (the phantom task). attachChildren now propagates cancel() to the parent on a CANCELLED child. Guarded by AttachChildrenTests probes and AnalyticsQueryTaskCleanupIT (task-cancel + QTF query/fetch SBP-cancel stand-ins). Signed-off-by: Marc Handalian --- .../analytics/exec/stage/StageExecution.java | 13 +- .../exec/stage/AttachChildrenTests.java | 76 +++++- .../AnalyticsQueryTaskCleanupIT.java | 227 +++++++++++++++++- 3 files changed, 292 insertions(+), 24 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java index 50e8aa3b555d4..2fffb540095c9 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/StageExecution.java @@ -140,8 +140,7 @@ default void closeChildInput(int childStageId) {} * default-mode parents are scheduled here (eager parents already scheduled). *

    • FAILED — invokes {@link #closeChildInput} then propagates via {@link #failWithCause}. *
    • CANCELLED — invokes {@link #closeChildInput} (so a parent reduce drain sees EOF and - * unwinds) but does NOT propagate cancel to the parent's state (the cancel initiator owns the - * parent's lifecycle). + * unwinds) then propagates {@link #cancel} to the parent so it can't strand in RUNNING. * * *

      Parent→sibling cancel sweep: on FAILED / CANCELLED, sweep still-running children. @@ -191,11 +190,13 @@ default void attachChildren(List children, Consumer - // Close this parent's input for the cancelled child so a parent reduce drain - // blocked on streamNext sees EOF and unwinds. Cancel is not propagated to the - // parent's state (it stays owner-driven). + case CANCELLED -> { closeChildInput(childId); + // A cancelled child can't produce a complete result, so the parent must reach + // terminal too — otherwise pending never drains and it strands in RUNNING (the + // phantom-task leak). Idempotent; no-op if the parent is already terminal. + cancel("child stage " + childId + " cancelled"); + } default -> { } } diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java index f8182b7617ffd..818e3ffa6f9d2 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/AttachChildrenTests.java @@ -92,11 +92,14 @@ public void testFailedChildPropagatesDirectlyToParent() { } /** - * Cancelled-child contract: the cascade must close the parent's per-child input (so a parent - * reduce drain blocked on {@code streamNext} sees EOF and unwinds) but must NOT propagate cancel - * to the parent's state or schedule it. + * Cancelled-child contract: the cascade closes the parent's per-child input (so a parent reduce + * drain blocked on {@code streamNext} sees EOF and unwinds) AND propagates cancel to the parent + * so it reaches a terminal state. Without the propagation the parent strands in RUNNING, its + * pending count never drains, the root never mirrors to the query, and the coordinator task is + * never unregistered (the phantom-task leak). The parent must NOT be scheduled (nothing to run) + * and must NOT be failed (cancel is not a failure). */ - public void testCancelledChildClosesInputButDoesNotPropagateToParent() { + public void testCancelledChildClosesInputAndPropagatesCancelToParent() { StageExecution parent = mock(StageExecution.class, CALLS_REAL_METHODS); FakeChild cancelled = new FakeChild(5); // no failure recorded @@ -107,8 +110,8 @@ public void testCancelledChildClosesInputButDoesNotPropagateToParent() { // EOF released to the reduce input (the leak fix). verify(parent).closeChildInput(eq(5)); - // State is NOT propagated and the parent is NOT scheduled. - verify(parent, never()).cancel(any()); + // Cancel IS propagated so the parent reaches terminal (phantom-task fix); not failed, not metadata-consumed. + verify(parent).cancel(any()); verify(parent, never()).failWithCause(any()); verify(parent, never()).consumeChildMetadata(any()); } @@ -136,6 +139,67 @@ public void testSiblingsAreCancelledWhenParentReachesFailedTerminal() { assertNull("already-terminal sibling must not be re-cancelled", alreadyDone.cancelReason); } + // ---- Phantom-task probes: does a CANCELLED child strand the parent (never terminal)? ---- + // A parent that never reaches terminal never fires mirrorRootStateToQuery → the coordinator + // query task never unregisters → phantom task (observed as a query/ppl task stuck for hours + // with zero CPU). These tests pin which child-state combinations strand the parent. + + /** PROBE 1: one child CANCELLED, sibling still RUNNING. Does the parent ever reach terminal? */ + public void testCancelledChildWithRunningSiblingDoesNotStrandParent() { + FakeChild cancelled = new FakeChild(1); + FakeChild stillRunning = new FakeChild(2); // stays RUNNING, never fires terminal + FakeParent parent = new FakeParent(99); + + parent.attachChildren(List.of(cancelled, stillRunning), stage -> {}); + cancelled.fire(StageExecution.State.CANCELLED); + + assertTrue( + "parent must reach a terminal state after a child is cancelled; otherwise the coordinator " + + "query task never unregisters (phantom). parent state=" + + parent.fakeState, + parent.fakeState.isTerminal() + ); + } + + /** PROBE 2: ALL children CANCELLED (full bottom-up cancel of leaves). Parent terminal? */ + public void testAllChildrenCancelledDrivesParentTerminal() { + FakeChild a = new FakeChild(1); + FakeChild b = new FakeChild(2); + FakeParent parent = new FakeParent(99); + + parent.attachChildren(List.of(a, b), stage -> {}); + a.fire(StageExecution.State.CANCELLED); + b.fire(StageExecution.State.CANCELLED); + + assertTrue( + "parent must reach a terminal state when all children are cancelled. parent state=" + parent.fakeState, + parent.fakeState.isTerminal() + ); + } + + /** + * PROBE 3: one CANCELLED + one SUCCEEDED. The cancelled child must still account for its pending + * slot so the count drains to 0; with a cancelled child present the parent reaches CANCELLED + * (terminal) rather than being scheduled — there is nothing left to run. + */ + public void testCancelledPlusSucceededChildDrivesParentTerminalNotScheduled() { + FakeChild cancelled = new FakeChild(1); + FakeChild succeeded = new FakeChild(2); + FakeParent parent = new FakeParent(99); + AtomicReference scheduled = new AtomicReference<>(); + + parent.attachChildren(List.of(cancelled, succeeded), scheduled::set); + cancelled.fire(StageExecution.State.CANCELLED); + succeeded.fire(StageExecution.State.SUCCEEDED); + + assertTrue( + "parent must reach a terminal state (not strand) once all children are accounted for; " + "parent state=" + parent.fakeState, + parent.fakeState.isTerminal() + ); + assertEquals("parent with a cancelled child must terminate as CANCELLED", StageExecution.State.CANCELLED, parent.fakeState); + assertNull("parent must NOT be scheduled when a child was cancelled", scheduled.get()); + } + /** * Eager (streaming) parents must be scheduled as soon as the first child transitions * to RUNNING — they need to run concurrently with their children's feeds (e.g. a diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java index 221fdaa1bcc6e..6d036441acd64 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java @@ -16,6 +16,7 @@ import org.opensearch.action.admin.indices.create.CreateIndexResponse; import org.opensearch.analytics.AnalyticsPlugin; import org.opensearch.analytics.exec.action.AnalyticsQueryAction; +import org.opensearch.analytics.exec.action.FetchByRowIdsAction; import org.opensearch.analytics.exec.action.FragmentExecutionAction; import org.opensearch.arrow.allocator.ArrowBasePlugin; import org.opensearch.arrow.flight.transport.FlightStreamPlugin; @@ -25,6 +26,7 @@ import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.FeatureFlags; import org.opensearch.composite.CompositeDataFormatPlugin; +import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.index.engine.dataformat.stub.MockCommitterEnginePlugin; import org.opensearch.parquet.ParquetOnlyDataFormatPlugin; import org.opensearch.plugins.Plugin; @@ -47,6 +49,7 @@ import java.util.concurrent.Future; import java.util.concurrent.TimeUnit; import java.util.concurrent.TimeoutException; +import java.util.concurrent.atomic.AtomicBoolean; /** * Verifies the framework-task lifecycle for the analytics query action @@ -162,6 +165,50 @@ private void createAndSeedIndex() { } } + // ---- QTF (query-then-fetch / late-materialization) index ---- + // A `sortkey` to order by + a fetch-only `payload` (index=false) projected ABOVE the sort anchor. + // `source = QTF_INDEX | sort sortkey | head N | fields payload` makes the LateMaterialization + // rewriter fire: the query phase emits row-ids, the fetch phase (FetchByRowIdsAction) materializes + // `payload`. Multi-shard so the rewriter engages. + private static final String QTF_INDEX = "analytics_qtf_cleanup_idx"; + private static final int QTF_DOCS = 200; + + private void createAndSeedQtfIndex() throws Exception { + Settings indexSettings = Settings.builder() + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, NUM_SHARDS) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .put("index.pluggable.dataformat.enabled", true) + .put("index.pluggable.dataformat", "composite") + .put("index.composite.primary_data_format", "parquet") + .putList("index.composite.secondary_data_formats") + .build(); + assertTrue( + client().admin() + .indices() + .prepareCreate(QTF_INDEX) + .setSettings(indexSettings) + .setMapping("sortkey", "type=integer", "payload", "type=keyword,index=false") + .get() + .isAcknowledged() + ); + ensureGreen(QTF_INDEX); + for (int i = 0; i < QTF_DOCS; i++) { + client().prepareIndex(QTF_INDEX).setSource("sortkey", i, "payload", "row-" + i).get(); + } + client().admin().indices().prepareRefresh(QTF_INDEX).get(); + client().admin().indices().prepareFlush(QTF_INDEX).get(); + // Force the parquet commit visible before measuring. + assertBusy(() -> { + PPLResponse r = executePPL("source = " + QTF_INDEX + " | stats count() as c"); + assertEquals("QTF seed not yet visible", (long) QTF_DOCS, ((Number) r.getRows().get(0)[r.getColumns().indexOf("c")]).longValue()); + }, 30, TimeUnit.SECONDS); + } + + /** The QTF query: sort by sortkey, head N, project the fetch-only payload column → fires late materialization. */ + private static String qtfQuery() { + return "source = " + QTF_INDEX + " | sort sortkey | head 20 | fields payload"; + } + private PPLResponse executePPL(String ppl) { return client().execute(UnifiedPPLExecuteAction.INSTANCE, new PPLRequest(ppl)).actionGet(); } @@ -197,6 +244,54 @@ public void testSuccessfulQueryLeavesNoResidualAnalyticsTask() throws Exception assertNoResidualTasks(FragmentExecutionAction.NAME); } + /** + * A shard fragment returning a {@link TaskCancelledException} over stream transport — exactly what + * Search BackPressure does when it cancels a leaf {@code AnalyticsShardTask} (the bottom-up cancel + * that does NOT touch the coordinator action) — must tear down the whole query cleanly: the + * coordinator query task AND the fragment tasks must both unregister. Without the + * StageExecution attachChildren CANCELLED-propagation fix, a cancelled shard stage strands its + * parent and the coordinator task leaks (phantom). This is the closest IT analogue of the + * production SBP-cancel path. + */ + public void testShardTaskCancelledExceptionTearsDownQueryAndCleansUp() throws Exception { + createAndSeedIndex(); + + // Inject on every data node: with 2 shards / 0 replicas across 2 nodes, allocation may place both + // shards on one node, so a single-victim injection can miss the fragment and the query succeeds (flake). + List mtsList = new java.util.ArrayList<>(); + for (String node : internalCluster().getDataNodeNames()) { + MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, node); + mts.addRequestHandlingBehavior(FragmentExecutionAction.NAME, (handler, request, channel, task) -> { + // What SBP surfaces when it cancels the shard task mid-fragment. + channel.sendResponse(new TaskCancelledException("task cancelled by search backpressure on " + node)); + }); + mtsList.add(mts); + } + try { + Throwable failure = null; + PPLResponse response = null; + try { + response = executePPL("source = " + INDEX + " | stats sum(value) as total", QUERY_TIMEOUT); + } catch (Throwable t) { + failure = t; + } + // Either it surfaces as a failure (expected) or returns — but it must NOT hang past the + // timeout, and the surfaced error must reflect cancellation, not a generic 500/hang. + logger.info( + "[sbp-cancel] shard TaskCancelledException -> coordinator surfaced: response={}, failure={}", + response, + failure == null ? "none" : failure.getClass().getName() + ": " + failure.getMessage() + ); + assertNotNull("a cancelled shard must fail the query, not silently return a result (response=" + response + ")", failure); + } finally { + mtsList.forEach(MockTransportService::clearAllRules); + } + // The contract that matters for the stuck-task issue: NO phantom coordinator query task, no + // residual fragment tasks, after a bottom-up shard cancel. + assertNoResidualTasks(AnalyticsQueryAction.NAME); + assertNoResidualTasks(FragmentExecutionAction.NAME); + } + /** * Cancelling the framework {@code AnalyticsQueryAction} task terminates the in-flight query * (no hang) and leaves no residual analytics/query or fragment tasks. This only works because @@ -206,18 +301,22 @@ public void testSuccessfulQueryLeavesNoResidualAnalyticsTask() throws Exception public void testCancelAnalyticsQueryTaskTerminatesQueryAndCleansUp() throws Exception { createAndSeedIndex(); - // Block one data node's shard handler so cancellation lands while the query is in-flight. - String victim = randomFrom(internalCluster().getDataNodeNames()); - MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, victim); + // Block every data node's shard handler so cancellation lands while the query is in-flight, + // regardless of which node(s) the 2 shards were allocated to. CountDownLatch released = new CountDownLatch(1); - mts.addRequestHandlingBehavior(FragmentExecutionAction.NAME, (handler, request, channel, task) -> { - try { - released.await(QUERY_TIMEOUT.seconds(), TimeUnit.SECONDS); - } catch (InterruptedException ie) { - Thread.currentThread().interrupt(); - } - handler.messageReceived(request, channel, task); - }); + List mtsList = new java.util.ArrayList<>(); + for (String node : internalCluster().getDataNodeNames()) { + MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, node); + mts.addRequestHandlingBehavior(FragmentExecutionAction.NAME, (handler, request, channel, task) -> { + try { + released.await(QUERY_TIMEOUT.seconds(), TimeUnit.SECONDS); + } catch (InterruptedException ie) { + Thread.currentThread().interrupt(); + } + handler.messageReceived(request, channel, task); + }); + mtsList.add(mts); + } ExecutorService exec = Executors.newSingleThreadExecutor(); try { @@ -248,7 +347,7 @@ public void testCancelAnalyticsQueryTaskTerminatesQueryAndCleansUp() throws Exce } } finally { released.countDown(); - mts.clearAllRules(); + mtsList.forEach(MockTransportService::clearAllRules); exec.shutdownNow(); exec.awaitTermination(5, TimeUnit.SECONDS); } @@ -256,4 +355,108 @@ public void testCancelAnalyticsQueryTaskTerminatesQueryAndCleansUp() throws Exce assertNoResidualTasks(AnalyticsQueryAction.NAME); assertNoResidualTasks(FragmentExecutionAction.NAME); } + + // ---------------------------------------------------------------- QTF (query-then-fetch) tests + // A QTF query has THREE stage levels (shard fragment → late-materialization → reduce) and a second + // round of shard work: the fetch phase ({@link FetchByRowIdsAction}). The phantom-task strand the + // StageExecution attachChildren fix addresses is reachable here in production: a cancelled shard + // stage (SBP) or a breaker mid-fetch leaves the LateMaterialization stage draining with a cancelled + // child, stranding the parent unless CANCELLED is propagated. These tests inject failures on BOTH + // the query phase (FragmentExecutionAction) and the fetch phase (FetchByRowIdsAction), and assert no + // residual tasks of any of the three actions. + + /** + * QTF sanity + cleanup. Confirms the late-materialization rewriter actually fires on this index + + * query shape (we flip a flag from a pass-through {@code FetchByRowIdsAction} behavior — if the + * rewriter didn't engage, no fetch is dispatched and the assertion fails, telling us the QTF tests + * below are testing the wrong thing). A successful QTF query must leave no residual query, fragment, + * or fetch tasks. + */ + public void testQtfQueryFiresFetchPhaseAndLeavesNoResidualTasks() throws Exception { + createAndSeedQtfIndex(); + + AtomicBoolean fetchDispatched = new AtomicBoolean(false); + List mtsList = new java.util.ArrayList<>(); + for (String node : internalCluster().getDataNodeNames()) { + MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, node); + mts.addRequestHandlingBehavior(FetchByRowIdsAction.NAME, (handler, request, channel, task) -> { + fetchDispatched.set(true); + handler.messageReceived(request, channel, task); + }); + mtsList.add(mts); + } + try { + PPLResponse response = executePPL(qtfQuery(), QUERY_TIMEOUT); + assertFalse("QTF query must return rows", response.getRows().isEmpty()); + assertTrue( + "late-materialization rewriter must fire (FetchByRowIdsAction dispatched) — otherwise the QTF " + + "cancel/breaker tests below exercise a non-QTF plan", + fetchDispatched.get() + ); + } finally { + mtsList.forEach(MockTransportService::clearAllRules); + } + assertNoResidualTasks(AnalyticsQueryAction.NAME); + assertNoResidualTasks(FragmentExecutionAction.NAME); + assertNoResidualTasks(FetchByRowIdsAction.NAME); + } + + /** SBP stand-in on the QTF QUERY phase: TaskCancelledException → clean teardown of all three actions. */ + public void testQtfFragmentCancelTearsDownAndCleansUp() throws Exception { + createAndSeedQtfIndex(); + assertQtfInjectedFailureSurfacesAndCleansUp( + FragmentExecutionAction.NAME, + (channel, victim) -> channel.sendResponse(new TaskCancelledException("sbp cancel (qtf query phase) on " + victim)) + ); + } + + /** SBP stand-in on the QTF FETCH phase: TaskCancelledException → clean teardown of all three actions. */ + public void testQtfFetchCancelTearsDownAndCleansUp() throws Exception { + createAndSeedQtfIndex(); + assertQtfInjectedFailureSurfacesAndCleansUp( + FetchByRowIdsAction.NAME, + (channel, victim) -> channel.sendResponse(new TaskCancelledException("sbp cancel (qtf fetch phase) on " + victim)) + ); + } + + /** Injects {@code injector} on {@code action} of a QTF query, asserts it fails, and verifies no residual tasks. */ + private void assertQtfInjectedFailureSurfacesAndCleansUp(String action, FailureInjector injector) throws Exception { + // Inject on EVERY data node, not a single random victim: with 2 shards / 0 replicas across 2 nodes, + // allocation may place both shards on one node, so a single-victim injection can miss every fragment + // (the query then succeeds and the test flakes). Injecting everywhere fails the fragment wherever it runs. + List mtsList = new java.util.ArrayList<>(); + for (String node : internalCluster().getDataNodeNames()) { + MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, node); + mts.addRequestHandlingBehavior(action, (handler, request, channel, task) -> injector.inject(channel, node)); + mtsList.add(mts); + } + try { + Throwable failure = null; + PPLResponse response = null; + try { + response = executePPL(qtfQuery(), QUERY_TIMEOUT); + } catch (Throwable t) { + failure = t; + } + logger.info( + "[qtf-inject] action={} -> response={}, failure={}", + action, + response, + failure == null ? "none" : failure.getClass().getName() + ": " + failure.getMessage() + ); + assertNotNull("injected failure on " + action + " must fail the QTF query, not return (response=" + response + ")", failure); + } finally { + mtsList.forEach(MockTransportService::clearAllRules); + } + // The phantom-task contract: no stranded coordinator query task, no residual fragment/fetch tasks. + assertNoResidualTasks(AnalyticsQueryAction.NAME); + assertNoResidualTasks(FragmentExecutionAction.NAME); + assertNoResidualTasks(FetchByRowIdsAction.NAME); + } + + /** Sends an injected error on a transport channel for the named victim node. */ + @FunctionalInterface + private interface FailureInjector { + void inject(org.opensearch.transport.TransportChannel channel, String victim) throws Exception; + } } From 4ef0aaf24ba02ea49535b3e8586c384009bcc5b0 Mon Sep 17 00:00:00 2001 From: Vishwas garg Date: Thu, 25 Jun 2026 03:41:58 +0530 Subject: [PATCH 42/94] Warm | Separate Parquet metadata and data into tiered SSD block caches (#22286) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * [Sandbox] Warm | Separate Parquet metadata and data into tiered SSD block caches Introduces TieredBlockCache: a two-tier SSD block cache that physically separates Parquet metadata from column data. Components: - TieredBlockCache: routes get() to probe metadata Foyer first, then data Foyer. put() → data Foyer only. put_metadata() → metadata Foyer with configurable max_metadata_entry_size bound (default 10MB, dynamic). - FoyerCache: added reinsertion_admit_all parameter for AdmitAll filter on the metadata instance. Added HybridCache::close() on drop to flush partial blocks to SSD (fixes entries < block_size surviving restart). - BlockCache trait: added put_metadata() with default fallback to put(). - FFM: foyer_create_tiered_cache, foyer_update_max_metadata_entry_size. - 11 unit tests validating routing, isolation, key alignment. * Integerate lazy loading with foyer disk based meta * Add cache statistics into heap and fix cache ref usage Signed-off-by: Vishwas Garg Co-authored-by: Bukhtawar Khan Co-authored-by: G --- .../libs/dataformat-native/rust/Cargo.lock | 4 +- .../libs/dataformat-native/rust/Cargo.toml | 1 + .../tiered-storage/src/main/rust/Cargo.toml | 3 +- .../tiered-storage/src/main/rust/src/ffm.rs | 20 +- .../src/main/rust/src/tiered_object_store.rs | 267 ++- .../rust/src/tiered_object_store_tests.rs | 228 +++ .../rust/Cargo.toml | 5 + .../rust/src/api.rs | 20 +- .../rust/src/cache/custom_cache_manager.rs | 415 ++++- .../rust/src/cache/page_index/mod.rs | 22 + .../src/cache/page_index/page_index_io.rs | 283 ++- .../rust/src/ffm.rs | 72 + .../rust/src/lib.rs | 8 + .../src/tiered_storage_integration_tests.rs | 1535 +++++++++++++++++ .../be/datafusion/DataFusionService.java | 17 + .../datafusion/DatafusionReaderManager.java | 25 +- .../be/datafusion/nativelib/NativeBridge.java | 29 + .../foyer/BlockCacheKeyIndexRecoveryIT.java | 153 ++ .../foyer/BlockCacheKeyIndexScaleIT.java | 79 + .../foyer/BlockCacheFoyerPlugin.java | 86 +- .../foyer/FoyerAggregatedStats.java | 144 +- .../blockcache/foyer/FoyerBlockCache.java | 145 +- .../foyer/FoyerBlockCacheSettings.java | 52 + .../blockcache/foyer/FoyerBridge.java | 113 +- .../src/main/rust/src/foyer/ffm.rs | 179 +- .../src/main/rust/src/foyer/foyer_cache.rs | 70 +- .../src/main/rust/src/lib.rs | 1 + .../src/main/rust/src/tests.rs | 367 +++- .../src/main/rust/src/tiered_block_cache.rs | 188 ++ .../src/main/rust/src/traits.rs | 15 +- .../foyer/BlockCacheFoyerPluginTests.java | 6 +- .../foyer/FoyerAggregatedStatsTests.java | 129 ++ .../foyer/FoyerBlockCacheSettingsTests.java | 112 ++ .../parquet/store/TieredStorageBridge.java | 4 +- .../engine/DataFormatAwareReadOnlyEngine.java | 17 +- .../remote/filecache/NodeCacheService.java | 8 +- .../org/opensearch/plugins/BlockCache.java | 13 + .../opensearch/plugins/BlockCacheStats.java | 51 +- .../plugins/BlockCacheTieredStats.java | 129 ++ .../filecache/NodeCacheServiceTests.java | 55 + .../plugins/BlockCacheStatsTests.java | 114 +- .../plugins/BlockCacheTieredStatsTests.java | 166 ++ .../TransportPrepareTieringActionTests.java | 25 +- 43 files changed, 5075 insertions(+), 300 deletions(-) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs create mode 100644 sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs create mode 100644 server/src/main/java/org/opensearch/plugins/BlockCacheTieredStats.java create mode 100644 server/src/test/java/org/opensearch/plugins/BlockCacheTieredStatsTests.java diff --git a/sandbox/libs/dataformat-native/rust/Cargo.lock b/sandbox/libs/dataformat-native/rust/Cargo.lock index 78827944527d7..df8ce26cf1cc8 100644 --- a/sandbox/libs/dataformat-native/rust/Cargo.lock +++ b/sandbox/libs/dataformat-native/rust/Cargo.lock @@ -2838,6 +2838,7 @@ dependencies = [ "arrow-schema", "async-trait", "base64", + "bytes", "chrono", "chrono-tz", "crc32fast", @@ -2858,6 +2859,8 @@ dependencies = [ "num_cpus", "object_store", "once_cell", + "opensearch-block-cache", + "opensearch-tiered-storage", "parking_lot", "parquet", "proptest", @@ -2966,7 +2969,6 @@ dependencies = [ "native-bridge-common", "object_store", "opensearch-block-cache", - "tempfile", "thiserror 1.0.69", "tokio", ] diff --git a/sandbox/libs/dataformat-native/rust/Cargo.toml b/sandbox/libs/dataformat-native/rust/Cargo.toml index d632a5c550f4d..b5f7cb0440f92 100644 --- a/sandbox/libs/dataformat-native/rust/Cargo.toml +++ b/sandbox/libs/dataformat-native/rust/Cargo.toml @@ -77,6 +77,7 @@ proptest = "=1.4.0" # Internal native-bridge-common = { path = "common" } +opensearch-tiered-storage = { path = "../../tiered-storage/src/main/rust" } opensearch-repository-s3 = { path = "../../../plugins/native-repository-s3/src/main/rust" } opensearch-repository-gcs = { path = "../../../plugins/native-repository-gcs/src/main/rust" } opensearch-repository-azure = { path = "../../../plugins/native-repository-azure/src/main/rust" } diff --git a/sandbox/libs/tiered-storage/src/main/rust/Cargo.toml b/sandbox/libs/tiered-storage/src/main/rust/Cargo.toml index c7a7d6ec9e471..29f4011f8e340 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/Cargo.toml +++ b/sandbox/libs/tiered-storage/src/main/rust/Cargo.toml @@ -21,5 +21,4 @@ native-bridge-common = { workspace = true } opensearch-block-cache = { path = "../../../../../plugins/block-cache-foyer/src/main/rust" } [dev-dependencies] -tempfile = { workspace = true } -tokio = { workspace = true } +tokio = { workspace = true, features = ["rt-multi-thread", "macros"] } diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs b/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs index fa044ced26137..12aa7bba567a6 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs @@ -22,7 +22,7 @@ use opensearch_block_cache::traits::BlockCache; use crate::registry::TieredStorageRegistry; use crate::registry::FileRegistry; -use crate::tiered_object_store::TieredObjectStore; +use crate::tiered_object_store::{MetadataCachingStore, TieredObjectStore}; use crate::types::FileLocation; const NULL_PTR: i64 = 0; @@ -116,8 +116,12 @@ pub extern "C" fn ts_create_tiered_object_store( Ok(ptr) } -/// Returns a `Box>` pointer from an existing TieredObjectStore Arc pointer. -/// This is the format that `df_create_reader` expects — a boxed fat pointer to the trait object. +/// Returns a `Box>` pointer from an existing TieredObjectStore +/// Arc pointer. This is the format that `df_create_reader` and warmup paths expect — a boxed +/// fat pointer to the trait object. `MetadataCachingStore: ObjectStore`, so all `ObjectStore` +/// methods remain available; in addition, callers can invoke `put_metadata` to promote bytes +/// into the never-evict metadata tier. +/// /// Each call creates a new Box with its own Arc clone — caller must free with /// `ts_destroy_object_store_box_ptr`. #[ffm_safe] @@ -129,22 +133,22 @@ pub extern "C" fn ts_get_object_store_box_ptr(tiered_store_ptr: i64) -> i64 { // Increment strong count so we don't consume the original Arc unsafe { Arc::increment_strong_count(tiered_store_ptr as *const TieredObjectStore) }; let arc: Arc = unsafe { Arc::from_raw(tiered_store_ptr as *const TieredObjectStore) }; - // Coerce to trait object and box it - let boxed: Box> = Box::new(arc as Arc); + // Coerce to MetadataCachingStore trait object and box it + let boxed: Box> = Box::new(arc as Arc); let ptr = Box::into_raw(boxed) as i64; native_bridge_common::log_info!("ffm: ts_get_object_store_box_ptr: ok"); Ok(ptr) } -/// Destroy a `Box>` pointer returned by `ts_get_object_store_box_ptr`. -/// Drops the Box and decrements the Arc strong count. +/// Destroy a `Box>` pointer returned by +/// `ts_get_object_store_box_ptr`. Drops the Box and decrements the Arc strong count. #[ffm_safe] #[no_mangle] pub extern "C" fn ts_destroy_object_store_box_ptr(ptr: i64) -> i64 { if ptr == NULL_PTR { return Err("ts_destroy_object_store_box_ptr: null pointer (0)".to_string()); } - let _boxed = unsafe { Box::from_raw(ptr as *mut Arc) }; + let _boxed = unsafe { Box::from_raw(ptr as *mut Arc) }; native_bridge_common::log_info!("ffm: ts_destroy_object_store_box_ptr: ok"); Ok(0) } diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs index d1140f574f34f..19aaf3349b2bc 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs @@ -27,8 +27,9 @@ use bytes::Bytes; use futures::stream::BoxStream; use futures::StreamExt; use object_store::{ - path::Path, CopyOptions, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, - ObjectStore, PutMultipartOptions, PutOptions, PutPayload, PutResult, Result as OsResult, + path::Path, CopyOptions, GetOptions, GetRange, GetResult, ListResult, MultipartUpload, + ObjectMeta, ObjectStore, PutMultipartOptions, PutOptions, PutPayload, PutResult, + Result as OsResult, }; use opensearch_block_cache::range_cache::range_cache_key; @@ -38,6 +39,34 @@ use crate::registry::traits::FileRegistry; use crate::registry::TieredStorageRegistry; use crate::types::{FileLocation, TieredFileEntry}; +// --------------------------------------------------------------------------- +// MetadataCachingStore — extension trait +// --------------------------------------------------------------------------- + +/// An [`ObjectStore`] that supports promoting reads into a sticky metadata tier +/// (the never-evict Foyer SSD instance in production). +/// +/// The default implementation is a no-op so callers can invoke `put_metadata` +/// uniformly through any `Arc` without checking the +/// concrete type. [`TieredObjectStore`] overrides it to actually route the +/// bytes into the metadata cache; plain stores (e.g. `LocalFileSystem` in +/// tests) just inherit the no-op. +/// +/// Used by warmup paths (e.g. `analytics-backend-datafusion`'s +/// `add_files_with_store`) that need to populate the metadata tier after +/// fetching bytes through the store. +pub trait MetadataCachingStore: ObjectStore { + /// Promote `data` ranges to the never-evict metadata tier. + /// + /// Default: no-op. + fn put_metadata( + &self, + _path: &str, + _ranges: &[std::ops::Range], + _data: &[Bytes], + ) {} +} + // --------------------------------------------------------------------------- // TieredObjectStore // --------------------------------------------------------------------------- @@ -76,13 +105,15 @@ impl TieredObjectStore { /// Set the remote store (once). Subsequent calls are ignored. pub fn set_remote(&self, store: Arc) { - self.remote.set(store).ok(); // ignore if already set + let was_set = self.remote.set(store).is_err(); + native_bridge_common::log_debug!("[warm-tier] set_remote wired={} (already_set={})", !was_set, was_set); } /// Attach a block cache. Hot nodes skip this; `None` means no caching. #[must_use] pub fn with_cache(mut self, cache: Arc) -> Self { self.cache = Some(cache); + native_bridge_common::log_debug!("[warm-tier] TieredObjectStore: block cache attached"); self } @@ -93,10 +124,40 @@ impl TieredObjectStore { /// so that stale byte-range entries are freed promptly. pub fn evict_path(&self, path: &str) { if let Some(ref cache) = self.cache { + native_bridge_common::log_debug!("[warm-tier] evict_path path='{}'", path); cache.evict_prefix(path); } } + /// Store byte ranges directly into the metadata cache (never-evict tier). + /// + /// Called by warmup after fetching metadata bytes. The warmup code reads + /// metadata (via this store or any source), then calls this to ensure the + /// bytes are in the durable metadata_cache — surviving LRU eviction from + /// data scan pressure and node restarts. + /// + /// No-op if no cache is attached. + pub fn put_metadata(&self, path: &str, ranges: &[std::ops::Range], data: &[Bytes]) { + // Normalize path by stripping leading '/' to match `object_store::Path` semantics + // (read paths through ObjectStore::get_opts/get_ranges arrive with the leading '/' + // already stripped). Without this, warmup writes under "/Volumes/..." while query + // reads probe under "Volumes/..." — silent cache miss on every read. + let path_str = path.strip_prefix('/').unwrap_or(path); + native_bridge_common::log_debug!( + "[warm-tier] put_metadata path='{}' ranges={} bytes={} cache={}", + path_str, + ranges.len(), + ranges.iter().map(|r| r.end - r.start).sum::(), + self.cache.is_some() + ); + if let Some(ref cache) = self.cache { + for (r, bytes) in ranges.iter().zip(data.iter()) { + let key = range_cache_key(path_str, r.start, r.end); + cache.put_metadata(&key, bytes.clone()); + } + } + } + /// Register a file in the registry. For Remote/Both locations, the caller /// must provide a `remote_path`. pub fn register_file( @@ -152,8 +213,49 @@ impl TieredObjectStore { Ok(()) } - // TODO: Add pin(path)/unpin(path) methods for write-path eviction protection. - // TODO: Add schedule_eviction(path) and sweep() for deferred eviction lifecycle. + /// Resolve a GetRange to absolute (start, end) byte offsets. + /// + /// - `Bounded(start..end)`: returned directly. + /// - `Suffix(n)`: resolved to `(file_size - n, file_size)` using registry. + /// - `Offset(n)`: resolved to `(n, file_size)` using registry. + /// + /// Returns `None` if file_size is needed but not available in the registry. + /// + /// Note: `GetRange::Offset` is defensive/forward-compatible code. DataFusion's + /// current parquet reading pipeline only produces `Bounded` (column data) and + /// `Suffix` (footer metadata). The `Offset` variant is never generated in + /// practice but is handled for completeness. + fn resolve_range(&self, path_str: &str, range: &GetRange) -> Option<(u64, u64)> { + match range { + GetRange::Bounded(r) => Some((r.start, r.end)), + GetRange::Suffix(n) => { + let file_size = self.registry.get(path_str).map(|g| g.size()).filter(|&s| s > 0); + match file_size { + Some(size) => Some((size.saturating_sub(*n), size)), + None => { + native_bridge_common::log_debug!( + "TieredObjectStore: resolve_range Suffix({}) — file_size unavailable for '{}', cache bypassed", + n, path_str + ); + None + } + } + } + GetRange::Offset(o) => { + let file_size = self.registry.get(path_str).map(|g| g.size()).filter(|&s| s > 0); + match file_size { + Some(size) => Some((*o, size)), + None => { + native_bridge_common::log_debug!( + "TieredObjectStore: resolve_range Offset({}) — file_size unavailable for '{}', cache bypassed", + o, path_str + ); + None + } + } + } + } + } // NOTE: The guard is intentionally dropped before I/O. The Arc // keeps the store alive independently. On writable warm, the guard must be held @@ -178,7 +280,7 @@ impl TieredObjectStore { if matches!(err, object_store::Error::NotFound { .. }) { let resolved = self.resolve_remote(path_str); if resolved.is_some() { - native_bridge_common::log_info!( + native_bridge_common::log_debug!( "TieredObjectStore: LOCAL NotFound, file transitioned to REMOTE — retrying path='{}'", path_str ); @@ -225,7 +327,7 @@ impl TieredObjectStore { }; let matches = self.registry.entries_matching(&prefix_with_slash); if !matches.is_empty() { - native_bridge_common::log_info!( + native_bridge_common::log_debug!( "TieredObjectStore: try_head_from_registry — path='{}' is a directory ({} files), returning NotFound", path_str, matches.len() ); @@ -238,6 +340,41 @@ impl TieredObjectStore { None } + /// Try to serve a range read from the cache. Returns `Some(Ok(GetResult))` on hit, + /// `None` on miss. Does NOT auto-populate the cache on miss. + /// + /// Used by `get_opts` to short-circuit range reads when the requested bytes were + /// previously stored via `put_metadata()` during warmup. + async fn try_serve_from_cache( + &self, + path_str: &str, + location: &Path, + range: &GetRange, + ) -> Option> { + let cache = self.cache.as_ref()?; + let (start, end) = self.resolve_range(path_str, range)?; + let key = range_cache_key(path_str, start, end); + let cached = cache.get(&key).await?; + let file_size = self.registry.get(path_str) + .map(|g| g.size()) + .unwrap_or(end); + let meta = ObjectMeta { + location: location.clone(), + last_modified: chrono::DateTime::::default(), + size: file_size, + e_tag: None, + version: None, + }; + Some(Ok(GetResult { + payload: object_store::GetResultPayload::Stream( + futures::stream::once(async { Ok(cached) }).boxed(), + ), + meta, + range: start..end, + attributes: Default::default(), + })) + } + /// Phase 1 — probe the block cache for each requested range. /// /// Returns: @@ -348,6 +485,16 @@ impl fmt::Display for TieredObjectStore { } } +// --------------------------------------------------------------------------- +// MetadataCachingStore impl — delegates to the inherent put_metadata above. +// --------------------------------------------------------------------------- + +impl MetadataCachingStore for TieredObjectStore { + fn put_metadata(&self, path: &str, ranges: &[std::ops::Range], data: &[Bytes]) { + TieredObjectStore::put_metadata(self, path, ranges, data); + } +} + // --------------------------------------------------------------------------- // ObjectStore impl // --------------------------------------------------------------------------- @@ -392,6 +539,12 @@ impl ObjectStore for TieredObjectStore { /// Also handles head requests (options.head == true) by returning cached /// size from the registry when available — avoids I/O for the common case. /// For directory paths, returns NotFound so DataFusion uses list() instead. + /// + /// When a bounded/suffix/offset range is specified AND a cache is attached, + /// probes the cache first. On hit (entry previously stored via `put_metadata` + /// during warmup), returns cached bytes immediately — zero S3/local I/O. + /// On miss, proceeds with normal fetch (no auto-populate — metadata cache is + /// populated only by explicit `put_metadata()` calls from warmup code). async fn get_opts(&self, location: &Path, options: GetOptions) -> OsResult { let path_str = location.as_ref(); @@ -402,26 +555,85 @@ impl ObjectStore for TieredObjectStore { } } + // Cache probe for range reads. Serves entries from metadata Foyer + // (put there by warmup) or data Foyer (populated on prior miss). + // On miss: fetches from S3/local, then populates data Foyer via put() + // so repeated reads hit cache. + if let Some(ref get_range) = options.range { + if let Some(result) = self.try_serve_from_cache(path_str, location, get_range).await { + return result; + } + } - if let Some((rp, store)) = self.resolve_remote(path_str) { + // Cache miss — fetch from remote/local then populate data Foyer. + // This ensures single-range reads (CachedMetadataReader::get_bytes for + // column chunks in the IndexedExec path) are cached on first access. + // cache.put() always routes to data Foyer — metadata Foyer is only + // populated via explicit put_metadata() from warmup. + let get_result = if let Some((rp, store)) = self.resolve_remote(path_str) { native_bridge_common::log_debug!( "TieredObjectStore: get_opts REMOTE path='{}'", path_str ); - return store.get_opts(&rp, options).await; - } - - - let result = self.local.get_opts(location, options.clone()).await; - - + store.get_opts(&rp, options.clone()).await + } else { + let local_result = self.local.get_opts(location, options.clone()).await; + match local_result { + Ok(r) => Ok(r), + Err(ref e) => { + if let Some((rp, store)) = self.should_retry_remote(path_str, e) { + store.get_opts(&rp, options.clone()).await + } else { + local_result + } + } + } + }?; - if let Err(ref e) = result { - if let Some((rp, store)) = self.should_retry_remote(path_str, e) { - return store.get_opts(&rp, options).await; + // Populate data Foyer for bounded-range reads so repeated single-range + // reads (IndexedExec column chunks) hit cache on subsequent queries. + // TieredBlockCache::put() enforces max_data_entry_size — entries exceeding + // that limit are silently skipped (no buffering needed for them either). + if let Some(ref cache) = self.cache { + if let Some(ref get_range) = options.range { + if let Some((start, end)) = self.resolve_range(path_str, get_range) { + let range_size = end - start; + // Skip buffering for large ranges — TieredBlockCache::put() would + // reject them anyway (max_data_entry_size). This avoids allocating + // memory for entries that won't be cached. + let max_size = cache.as_any() + .downcast_ref::() + .map(|t| t.max_data_entry_size()) + .unwrap_or(32 * 1024 * 1024); // fallback for non-tiered cache + if range_size > max_size { + return Ok(get_result); + } + let bytes = get_result.bytes().await?; + let key = range_cache_key(path_str, start, end); + cache.put(&key, bytes.clone()); + let file_size = self.registry.get(path_str) + .map(|g| g.size()) + .unwrap_or(end); + let meta = ObjectMeta { + location: location.clone(), + last_modified: chrono::DateTime::::default(), + size: file_size, + e_tag: None, + version: None, + }; + return Ok(GetResult { + payload: object_store::GetResultPayload::Stream( + futures::stream::once(async { Ok(bytes) }).boxed(), + ), + meta, + range: start..end, + attributes: Default::default(), + }); + } } } - result + + Ok(get_result) } /// Multi-range read with cache-first routing. @@ -433,26 +645,9 @@ impl ObjectStore for TieredObjectStore { if miss_ranges.is_empty() { // Full cache hit — all ranges served from SSD. - native_bridge_common::log_debug!( - "TieredObjectStore: get_ranges FULL CACHE HIT path='{}' n={} total_bytes={}", - path_str, ranges.len(), - ranges.iter().map(|r| r.end - r.start).sum::() - ); return Ok(slots.into_iter().map(|o| o.unwrap()).collect()); } - if self.cache.is_some() { - native_bridge_common::log_debug!( - "TieredObjectStore: get_ranges CACHE MISS path='{}' misses={}/{}", - path_str, miss_ranges.len(), ranges.len() - ); - } else { - native_bridge_common::log_debug!( - "TieredObjectStore: get_ranges NO CACHE path='{}' fetching={}/{}", - path_str, miss_ranges.len(), ranges.len() - ); - } - let fetched = self.fetch_misses(location, path_str, &miss_ranges).await?; self.populate_cache_and_reassemble( diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs index b055f7da14f61..60de8555402b9 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs @@ -951,3 +951,231 @@ async fn test_head_file_path_not_treated_as_directory() { // Not in registry, not local → NotFound assert!(result.is_err()); } + +// -- resolve_range tests ---------------------------------------------------- + +#[test] +fn test_resolve_range_bounded_returns_bounds_directly() { + let (_registry, _local, _remote, tiered) = setup(); + // Bounded needs no registry/size — returned verbatim. + assert_eq!(tiered.resolve_range("any.parquet", &GetRange::Bounded(10..20)), Some((10, 20))); +} + +#[test] +fn test_resolve_range_suffix_uses_registry_size() { + let (registry, _local, _remote, tiered) = setup(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + // Suffix(64) → (size - 64, size). + assert_eq!(tiered.resolve_range("a.parquet", &GetRange::Suffix(64)), Some((936, 1000))); +} + +#[test] +fn test_resolve_range_offset_uses_registry_size() { + let (registry, _local, _remote, tiered) = setup(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + // Offset(100) → (100, size). + assert_eq!(tiered.resolve_range("a.parquet", &GetRange::Offset(100)), Some((100, 1000))); +} + +#[test] +fn test_resolve_range_suffix_none_when_unregistered() { + let (_registry, _local, _remote, tiered) = setup(); + // No registry entry → size unavailable → cache bypassed (None). + assert_eq!(tiered.resolve_range("missing.parquet", &GetRange::Suffix(64)), None); +} + +#[test] +fn test_resolve_range_offset_none_when_size_zero() { + let (registry, _local, _remote, tiered) = setup(); + // size 0 (default) is filtered out → None. + registry.register("z.parquet", TieredFileEntry::new(FileLocation::Local, None)); + assert_eq!(tiered.resolve_range("z.parquet", &GetRange::Offset(10)), None); +} + +// -- Cache routing tests (MockBlockCache) ----------------------------------- + +use bytes::Bytes; +use opensearch_block_cache::range_cache::{range_cache_key, CacheKey}; +use opensearch_block_cache::traits::BlockCache; +use std::collections::HashMap; +use std::sync::Mutex; + +/// Minimal in-memory [`BlockCache`] for unit-testing TieredObjectStore's cache +/// routing without pulling in real Foyer. Mirrors TieredBlockCache semantics: +/// `get` probes the metadata tier first, then the data tier. +#[derive(Default)] +struct MockBlockCache { + data: Mutex>, + meta: Mutex>, + evicted: Mutex>, +} + +impl BlockCache for MockBlockCache { + fn as_any(&self) -> &dyn std::any::Any { + self + } + + fn get<'a>( + &'a self, + key: &'a CacheKey, + ) -> std::pin::Pin> + Send + 'a>> { + let k = key.as_str().to_string(); + let hit = self + .meta + .lock() + .unwrap() + .get(&k) + .cloned() + .or_else(|| self.data.lock().unwrap().get(&k).cloned()); + Box::pin(async move { hit }) + } + + fn put(&self, key: &CacheKey, data: Bytes) { + self.data.lock().unwrap().insert(key.as_str().to_string(), data); + } + + fn put_metadata(&self, key: &CacheKey, data: Bytes) { + self.meta.lock().unwrap().insert(key.as_str().to_string(), data); + } + + fn evict_prefix(&self, prefix: &str) { + self.evicted.lock().unwrap().push(prefix.to_string()); + self.data.lock().unwrap().retain(|k, _| !k.starts_with(prefix)); + self.meta.lock().unwrap().retain(|k, _| !k.starts_with(prefix)); + } + + fn clear(&self) -> std::pin::Pin + Send + '_>> { + self.data.lock().unwrap().clear(); + self.meta.lock().unwrap().clear(); + Box::pin(async {}) + } +} + +fn setup_with_cache() -> (Arc, Arc, Arc, TieredObjectStore) { + let registry = Arc::new(TieredStorageRegistry::new()); + let local = Arc::new(InMemory::new()); + let cache = Arc::new(MockBlockCache::default()); + let tiered = TieredObjectStore::new(Arc::clone(®istry), Arc::clone(&local) as _) + .with_cache(Arc::clone(&cache) as Arc); + (registry, local, cache, tiered) +} + +#[tokio::test] +async fn test_put_metadata_served_from_cache_on_get_opts() { + let (registry, _local, _cache, tiered) = setup_with_cache(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + + // Warmup promotes the footer range into the metadata tier. No local file exists, + // so a successful read proves the bytes were served from the cache. + tiered.put_metadata("a.parquet", &[936..1000], &[Bytes::from_static(b"FOOTER")]); + + let opts = GetOptions { range: Some(GetRange::Bounded(936..1000)), ..Default::default() }; + let bytes = tiered + .get_opts(&Path::from("a.parquet"), opts) + .await + .unwrap() + .bytes() + .await + .unwrap(); + assert_eq!(bytes.as_ref(), b"FOOTER"); +} + +#[tokio::test] +async fn test_put_metadata_routes_to_metadata_tier_only() { + let (registry, _local, cache, tiered) = setup_with_cache(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + + tiered.put_metadata("a.parquet", &[936..1000], &[Bytes::from_static(b"FOOTER")]); + + let key = range_cache_key("a.parquet", 936, 1000); + assert!(cache.meta.lock().unwrap().contains_key(key.as_str()), "metadata tier populated"); + assert!(!cache.data.lock().unwrap().contains_key(key.as_str()), "data tier must NOT be populated by put_metadata"); +} + +#[tokio::test] +async fn test_put_metadata_noop_without_cache() { + // No cache attached — must be a no-op, not a panic. + let (_registry, _local, _remote, tiered) = setup(); + tiered.put_metadata("a.parquet", &[0..10], &[Bytes::from_static(b"0123456789")]); +} + +#[tokio::test] +async fn test_get_opts_miss_populates_data_tier() { + let (registry, local, cache, tiered) = setup_with_cache(); + local + .put(&Path::from("a.parquet"), PutPayload::from_static(b"0123456789")) + .await + .unwrap(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 10)); + + let opts = GetOptions { range: Some(GetRange::Bounded(0..4)), ..Default::default() }; + let bytes = tiered + .get_opts(&Path::from("a.parquet"), opts) + .await + .unwrap() + .bytes() + .await + .unwrap(); + assert_eq!(bytes.as_ref(), b"0123"); + + // A get_opts miss populates the DATA tier (never the metadata tier). + let key = range_cache_key("a.parquet", 0, 4); + assert!(cache.data.lock().unwrap().contains_key(key.as_str()), "data tier populated on miss"); + assert!(!cache.meta.lock().unwrap().contains_key(key.as_str()), "get_opts must not populate metadata tier"); +} + +#[tokio::test] +async fn test_get_ranges_full_hit_served_from_cache() { + // Empty local store proves the cache served the read. + let (registry, _local, cache, tiered) = setup_with_cache(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 100)); + + cache.put(&range_cache_key("a.parquet", 0, 4), Bytes::from_static(b"AAAA")); + cache.put(&range_cache_key("a.parquet", 4, 8), Bytes::from_static(b"BBBB")); + + let results = tiered.get_ranges(&Path::from("a.parquet"), &[0..4, 4..8]).await.unwrap(); + assert_eq!(results[0].as_ref(), b"AAAA"); + assert_eq!(results[1].as_ref(), b"BBBB"); +} + +#[tokio::test] +async fn test_get_ranges_partial_miss_fetches_and_populates() { + let (registry, local, cache, tiered) = setup_with_cache(); + local + .put(&Path::from("a.parquet"), PutPayload::from_static(b"0123456789")) + .await + .unwrap(); + registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 10)); + + // Pre-seed only [0,4); [5,8) misses and is fetched from local. + cache.put(&range_cache_key("a.parquet", 0, 4), Bytes::from_static(b"AAAA")); + + let results = tiered.get_ranges(&Path::from("a.parquet"), &[0..4, 5..8]).await.unwrap(); + assert_eq!(results[0].as_ref(), b"AAAA", "hit served from cache"); + assert_eq!(results[1].as_ref(), b"567", "miss fetched from local store"); + + // The previously-missing range is now cached. + let miss_key = range_cache_key("a.parquet", 5, 8); + assert!(cache.data.lock().unwrap().contains_key(miss_key.as_str()), "miss range populated into data tier"); +} + +#[tokio::test] +async fn test_evict_path_evicts_cache_prefix() { + let (_registry, _local, cache, tiered) = setup_with_cache(); + + cache.put_metadata(&range_cache_key("seg/a.parquet", 0, 4), Bytes::from_static(b"m")); + cache.put(&range_cache_key("seg/a.parquet", 4, 8), Bytes::from_static(b"d")); + + tiered.evict_path("seg/a.parquet"); + + assert_eq!(cache.evicted.lock().unwrap().as_slice(), &["seg/a.parquet".to_string()]); + assert!(cache.data.lock().unwrap().is_empty(), "data tier cleared for the evicted prefix"); + assert!(cache.meta.lock().unwrap().is_empty(), "metadata tier cleared for the evicted prefix"); +} + +#[test] +fn test_evict_path_noop_without_cache() { + // No cache attached — must be a no-op, not a panic. + let (_registry, _local, _remote, tiered) = setup(); + tiered.evict_path("x"); +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml b/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml index 83ce662d149f1..c12a4cb13c5c2 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml +++ b/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml @@ -25,6 +25,7 @@ arrow-schema = { workspace = true } parquet = { workspace = true } object_store = { workspace = true } +bytes = { workspace = true } url = { workspace = true } prost = { workspace = true } @@ -40,6 +41,7 @@ dashmap = { workspace = true } log = { workspace = true } num_cpus = { workspace = true } native-bridge-common = { workspace = true } +opensearch-tiered-storage = { workspace = true } async-trait = { workspace = true } chrono = { workspace = true } roaring = "=0.10.12" @@ -98,6 +100,9 @@ criterion = { workspace = true } tempfile = { workspace = true } rand = "=0.8.6" proptest = { workspace = true } +# Used only by tiered_storage_integration_tests.rs, which exercise FoyerCache / +# TieredBlockCache directly through the TieredObjectStore. +opensearch-block-cache = { path = "../../block-cache-foyer/src/main/rust" } [[bench]] name = "query_bench" diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 3897cf48d9519..822605b694ee3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -759,7 +759,8 @@ pub fn get_reduce_target_partitions() -> usize { /// `filenames` are kept in the order supplied by the caller. /// /// `store_ptr`: 0 = use default LocalFileSystem (hot path), -/// >0 = Box> pointer (routes reads through TieredObjectStore). +/// >0 = `Box>` pointer (routes reads through TieredObjectStore; +/// trait upcasts to `dyn ObjectStore` for DataFusion APIs that take `Arc`). pub fn create_reader( table_path: &str, filenames: Vec, @@ -788,15 +789,28 @@ pub fn create_reader( .map_err(|e| DataFusionError::Execution(format!("Invalid table path: {}", e)))?; // Resolve the object store: if store_ptr > 0, clone the Arc from the boxed pointer. + // Pointer type is `Arc` (since 2026-06); trait-upcast to + // `Arc` for the DataFusion APIs below. // Otherwise use default LocalFileSystem. let store: Arc = if store_ptr > 0 { - let boxed = unsafe { &*(store_ptr as *const Arc) }; - Arc::clone(boxed) + let boxed = unsafe { + &*(store_ptr as *const Arc) + }; + // Bind first, then trait-upcast at the let-binding boundary + // (Arc::clone alone can't infer the supertrait return type). + let mc_arc: Arc = + Arc::clone(boxed); + mc_arc } else { let default_rt = RuntimeEnvBuilder::new().build()?; default_rt.object_store(&table_url)? }; + // A Java-supplied store (store_ptr > 0) is a remote/warm store: fetch the whole + // page-index region so query range keys match eager warm-population (warm hits). + // The default LocalFileSystem has no warm tier → keep the narrow scoped fetch. + crate::cache::page_index::set_whole_region_fetch_enabled(store_ptr > 0); + let object_metas = tokio_rt_manager.io_runtime.block_on(create_object_metas( store.as_ref(), table_path, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs index 540c05f7defd8..05af240173bb4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs @@ -19,6 +19,67 @@ use object_store::ObjectStore; use native_bridge_common::log_debug; use crate::cache::{metadata_cache, page_index}; use crate::indexed_table::parquet_bridge; +use opensearch_tiered_storage::tiered_object_store::MetadataCachingStore; +use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; +use log::{debug, error}; + +/// Compute the page-index regions to warm, as SEPARATE column-index (CI) and +/// offset-index (OI) whole regions — matching exactly how the query-time +/// whole-region fetch (`page_index/page_index_io.rs::whole_index_region`) computes +/// and probes them. +/// +/// Each region folds ALL columns across ALL row groups for that one index kind: +/// - CI region = `min(start)..max(end)` over every column×RG `column_index` extent +/// - OI region = `min(start)..max(end)` over every column×RG `offset_index` extent +/// +/// Returns up to two ranges (CI first, then OI), skipping whichever kind the file +/// lacks. Returns an empty Vec if the file has no page index at all. +/// +/// IMPORTANT: warmup must write these as TWO keys (CI, OI) — NOT one merged +/// CI∪OI range. The query probes the CI whole region and the OI whole region +/// under separate keys, so a single merged key would never match (warm miss). +pub(crate) fn compute_page_index_range(metadata: &parquet::file::metadata::ParquetMetaData) -> Vec> { + // Column-index whole region across all columns × all row groups. + let ci_region = metadata.row_groups().iter() + .flat_map(|rg| rg.columns().iter()) + .fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + } + }); + + // Offset-index whole region across all columns × all row groups. + let oi_region = metadata.row_groups().iter() + .flat_map(|rg| rg.columns().iter()) + .fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + } + }); + + let mut ranges = Vec::with_capacity(2); + if let Some(r) = ci_region { + ranges.push(r); + } + if let Some(r) = oi_region { + ranges.push(r); + } + ranges +} /// Create ObjectMeta from a local file path. fn create_object_meta_from_file(file_path: &str) -> Result, datafusion::common::DataFusionError> { @@ -438,7 +499,181 @@ impl CustomCacheManager { Ok(Some((schema, pq_meta))) } - /// Compute and put statistics into cache + /// Warmup: load footer (lightweight) into heap, fetch page/offset index bytes + /// through the store (for Foyer caching), and promote those ranges to the + /// metadata Foyer tier via `MetadataCachingStore::put_metadata`. + /// + /// Key design: + /// - Footer (schema + RG stats) → heap file_metadata_cache (parsed `ParquetMetaData`, fast path) + /// - Footer raw bytes (last 64 KB) + page-index bytes → **promoted to metadata Foyer** + /// (never-evict SSD tier) via `store.put_metadata(...)`. The parsed footer in heap is + /// the fast path; the metadata-Foyer footer is the heap-eviction safety net (served from + /// SSD instead of S3 on cold-path re-parse). + /// - Page indexes NOT stored in heap (avoids 1GB+ memory bloat on wide schemas). + pub fn add_files_with_store( + &self, + file_paths: &[String], + store: Arc, + rt_handle: &tokio::runtime::Handle, + ) -> Result, String> { + let mut results = Vec::with_capacity(file_paths.len()); + for file_path in file_paths { + match self.warmup_file_with_store(file_path, &store, rt_handle) { + Ok(success) => { + results.push((file_path.clone(), success)); + } + Err(e) => { + error!("[CACHE ERROR] add_files_with_store failed for {}: {}", file_path, e); + results.push((file_path.clone(), false)); + } + } + } + Ok(results) + } + + /// Warmup a single file + /// 1. Fetch footer only (PageIndexPolicy::Skip) → heap cache (lightweight parsed metadata) + /// 2. Derive statistics from the same parsed metadata → statistics cache + /// 3. Compute page/offset index byte ranges from the parsed footer; append the footer + /// range so it's also covered by the metadata Foyer promotion below + /// 4. Fetch those ranges through the store (populates **data Foyer** as a side effect of get_ranges) + /// 5. Promote those ranges to **metadata Foyer** (never-evict tier) via `store.put_metadata` + fn warmup_file_with_store( + &self, + file_path: &str, + store: &Arc, + rt_handle: &tokio::runtime::Handle, + ) -> Result { + if !file_path.to_lowercase().ends_with(".parquet") { + return Ok(false); + } + + // Step 1: Fetch footer only → heap cache (parsed ParquetMetaData) + let (parquet_metadata, object_meta) = self.fetch_footer_to_heap(file_path, store, rt_handle)?; + + // Step 2: Derive statistics from the same parsed metadata → statistics cache. + // Reuses `parquet_metadata` so we don't re-fetch through the store. Failures + // here are non-fatal — they only mean the first query will recompute statistics. + if let Err(e) = self.statistics_cache_put_from_parsed(file_path, &parquet_metadata, &object_meta) { + error!( + "[warmup::warmup_file_with_store] statistics_cache_put failed for {}: {} (non-fatal)", + file_path, e + ); + } + + // Step 3: Compute page/offset index byte ranges from the parsed footer. + // NOTE: this now returns SEPARATE CI and OI whole regions (up to 2 ranges), + // matching the query-time whole-region probe keys exactly. A single merged + // CI∪OI range would never match the query's per-kind probes (warm miss). + let mut index_ranges = compute_page_index_range(&parquet_metadata); + + // Also promote the footer (last 64 KB) to metadata Foyer — heap-eviction safety net. + // Heap holds the parsed `ParquetMetaData` for fast lookups; the metadata Foyer entry + // is the SSD-served re-parse path when the heap evicts under memory pressure. + let footer_prefetch = 64 * 1024u64; // matches DataFusion's DEFAULT_FOOTER_READ_SIZE + let footer_start = object_meta.size.saturating_sub(footer_prefetch); + index_ranges.push(footer_start..object_meta.size); + + // Also promote the exact last-8-byte postscript [size-8, size] to metadata Foyer. + // DataFusion's FIRST footer read is an 8-byte read of the postscript (4-byte + // footer-metadata length + "PAR1" magic) to learn the footer length. On an + // exact-key warm tier that 8-byte read probes key [size-8, size], which the + // 64 KB footer range above does NOT match — so without this the very first + // metadata read always misses the warm tier. Promoting the exact 8 bytes under + // their own key makes that probe a warm hit. + let postscript_start = object_meta.size.saturating_sub(8); + index_ranges.push(postscript_start..object_meta.size); + + // Step 4: Fetch the ranges through the store (populates data Foyer on the way). + let fetched_bytes = Self::fetch_ranges_via_store(store, file_path, &index_ranges, rt_handle)?; + + // Step 5: Promote bytes to metadata Foyer (never-evict tier). + // No-op when `store` is not a TieredObjectStore (default trait impl is no-op). + store.put_metadata(file_path, &index_ranges, &fetched_bytes); + + native_bridge_common::log_debug!( + "[warm-tier] warmed file='{}' size={} promoted {} metadata ranges ({} bytes)", + file_path, + object_meta.size, + index_ranges.len(), + index_ranges.iter().map(|r| r.end - r.start).sum::() + ); + + Ok(true) + } + + /// Fetch footer only (no page indexes) from the store and put into heap cache. + /// + /// Returns the parsed metadata and object meta (for file size). + /// + /// # Panics + /// Panics if called from within a tokio async context (uses `block_on`). + /// Must be called from FFM entry points (Java → Rust, non-async) or from + /// a dedicated synchronous thread. Integration tests use a separate OnceLock runtime. + fn fetch_footer_to_heap( + &self, + file_path: &str, + store: &Arc, + rt_handle: &tokio::runtime::Handle, + ) -> Result<(Arc, ObjectMeta), String> { + let path = Path::from(file_path.to_string()); + + // Head call to get file size (TieredObjectStore serves from registry) + let object_meta = rt_handle.block_on(async { + use object_store::ObjectStoreExt; + store.head(&path).await + .map_err(|e| format!("Failed to head {}: {}", file_path, e)) + })?; + + let cache_ref = self.file_metadata_cache.as_ref() + .ok_or_else(|| "No file metadata cache configured".to_string())?; + let metadata_cache = cache_ref.clone() as Arc; + + // Do NOT pass file_metadata_cache here — that triggers PageIndexPolicy::Optional + // which loads page indexes into the heap struct. Instead, load footer only + // and manually put into the heap cache afterward. + let parquet_metadata: Arc = rt_handle.block_on(async { + let df_metadata = DFParquetMetadata::new(store.as_ref(), &object_meta); + df_metadata.fetch_metadata().await + .map_err(|e| format!("Failed to fetch footer: {}", e)) + })?; + + // Put lightweight footer-only metadata into heap cache + use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; + use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; + use datafusion::execution::cache::CacheAccessor; + let cached_entry = CachedFileMetadataEntry::new( + object_meta.clone(), + Arc::new(CachedParquetMetaData::new(Arc::clone(&parquet_metadata))), + ); + metadata_cache.put(&path, cached_entry); + + Ok((parquet_metadata, object_meta)) + } + + /// Fetch byte ranges from the store. Returns the fetched bytes in order. + fn fetch_ranges_via_store( + store: &Arc, + file_path: &str, + ranges: &[std::ops::Range], + rt_handle: &tokio::runtime::Handle, + ) -> Result, String> { + if ranges.is_empty() { + return Ok(vec![]); + } + let path = Path::from(file_path.to_string()); + rt_handle.block_on(async { + store.get_ranges(&path, ranges).await + .map_err(|e| format!("Failed to fetch ranges for {}: {}", file_path, e)) + }) + } + + /// Compute and put statistics into cache (hot path — reads the local file) + /// + /// Used by [`Self::add_files`] (no-store flow) when the parquet lives on local fs + /// For warm shards (data on the per-shard remote store) the equivalent helper is + /// [`Self::statistics_cache_put_from_parsed`], which reuses already-parsed + /// `ParquetMetaData` from the warmup pass instead of opening the file locally pub fn statistics_cache_compute_and_put(&self, file_path: &str) -> Result { let cache = self.statistics_cache.as_ref() .ok_or_else(|| "No statistics cache configured".to_string())?; @@ -472,6 +707,47 @@ impl CustomCacheManager { } } + /// Warm-tier statistics warmer: derive statistics from already-parsed + /// [`parquet::file::metadata::ParquetMetaData`] and put them into the statistics + /// cache, reusing the same [`ObjectMeta`] the heap metadata cache used so + /// subsequent query lookups validate cleanly via `is_valid_for`. + /// + /// Called from [`Self::warmup_file_with_store`] right after the heap metadata + /// cache is warmed, so we avoid re-fetching the footer through the store + /// (which is a remote-IO call on warm shards). Returns `Ok(true)` on insert, + /// `Ok(false)` if the statistics cache is not configured or the file is + /// already cached, `Err(_)` on schema/derivation failure. + fn statistics_cache_put_from_parsed( + &self, + file_path: &str, + parquet_metadata: &Arc, + object_meta: &ObjectMeta, + ) -> Result { + use datafusion::parquet::arrow::parquet_to_arrow_schema; + + let cache = match self.statistics_cache.as_ref() { + Some(c) => c, + None => return Ok(false), + }; + + let path = Path::from(file_path.to_string()); + if cache.contains_key(&path) { + return Ok(false); + } + + let file_metadata = parquet_metadata.file_metadata(); + let schema = Arc::new( + parquet_to_arrow_schema(file_metadata.schema_descr(), file_metadata.key_value_metadata()) + .map_err(|e| format!("failed to derive arrow schema for {}: {}", file_path, e))?, + ); + + let stats = DFParquetMetadata::statistics_from_parquet_metadata(parquet_metadata, &schema) + .map_err(|e| format!("failed to compute statistics for {}: {}", file_path, e))?; + + cache.put_statistics(&path, Arc::new(stats), object_meta); + Ok(true) + } + /// Batch compute and cache statistics for multiple files pub fn statistics_cache_batch_compute_and_put(&self, file_paths: &[String]) -> Result { let cache = self.statistics_cache.as_ref() @@ -721,4 +997,141 @@ mod tests { clear_scoped_cache_for_test(); } + + // ── compute_page_index_range ────────────────────────────────────────────── + + /// Write an in-memory parquet file and return its raw bytes. `stats` controls + /// whether page indexes (column-index + offset-index) are emitted into the footer. + fn parquet_bytes(num_cols: usize, num_rg: usize, stats: parquet::file::properties::EnabledStatistics) -> bytes::Bytes { + use arrow::array::{Int64Array, RecordBatch}; + use arrow::datatypes::{DataType, Field, Schema}; + use parquet::arrow::ArrowWriter; + use parquet::file::properties::WriterProperties; + + let fields: Vec = (0..num_cols) + .map(|c| Field::new(format!("col_{}", c), DataType::Int64, false)) + .collect(); + let schema = Arc::new(Schema::new(fields)); + + let props = WriterProperties::builder() + .set_max_row_group_size(32) + .set_data_page_row_count_limit(8) + .set_write_batch_size(8) + .set_statistics_enabled(stats) + .build(); + + let mut buf: Vec = Vec::new(); + { + let mut w = ArrowWriter::try_new(&mut buf, schema.clone(), Some(props)).unwrap(); + for rg in 0..num_rg { + let base = (rg * 100) as i64; + let cols: Vec> = (0..num_cols) + .map(|c| { + let vals: Vec = (base..base + 40).map(|v| v + (c as i64 * 1000)).collect(); + Arc::new(Int64Array::from(vals)) as Arc + }) + .collect(); + let batch = RecordBatch::try_new(schema.clone(), cols).unwrap(); + w.write(&batch).unwrap(); + } + w.close().unwrap(); + } + bytes::Bytes::from(buf) + } + + /// A page-indexed file yields exactly TWO regions — the column-index (CI) whole + /// region first, then the offset-index (OI) whole region — and each region is the + /// tight min..max fold over the corresponding per-column extents in the footer. + #[test] + fn compute_page_index_range_returns_tight_ci_and_oi_regions() { + use parquet::file::properties::EnabledStatistics; + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let buf = parquet_bytes(3, 2, EnabledStatistics::Page); + let reader = SerializedFileReader::new(buf).unwrap(); + let metadata = reader.metadata(); + + let ranges = compute_page_index_range(metadata); + assert_eq!(ranges.len(), 2, "page-indexed file must yield separate CI and OI regions"); + let (ci, oi) = (ranges[0].clone(), ranges[1].clone()); + assert!(ci.end > ci.start, "CI region must be non-empty"); + assert!(oi.end > oi.start, "OI region must be non-empty"); + assert_ne!(ci, oi, "CI and OI must be distinct warm-tier keys (not merged)"); + + // Compute the expected tight folds independently and compare. + let mut exp_ci: Option> = None; + let mut exp_oi: Option> = None; + for rg in metadata.row_groups() { + for col in rg.columns() { + if let (Some(off), Some(len)) = (col.column_index_offset(), col.column_index_length()) { + let (s, e) = (off as u64, off as u64 + len as u64); + exp_ci = Some(match exp_ci { + Some(a) => a.start.min(s)..a.end.max(e), + None => s..e, + }); + } + if let (Some(off), Some(len)) = (col.offset_index_offset(), col.offset_index_length()) { + let (s, e) = (off as u64, off as u64 + len as u64); + exp_oi = Some(match exp_oi { + Some(a) => a.start.min(s)..a.end.max(e), + None => s..e, + }); + } + } + } + assert_eq!(Some(ci), exp_ci, "CI region must equal the tight min..max fold of all column_index extents"); + assert_eq!(Some(oi), exp_oi, "OI region must equal the tight min..max fold of all offset_index extents"); + } + + /// With page statistics disabled the column index is absent (it requires + /// page-level stats), though the writer may still emit an offset index. The + /// function must equal the independent `[CI?, OI?]` fold — skipping absent + /// kinds — which exercises the "one kind present" branch. + #[test] + fn compute_page_index_range_matches_independent_fold_no_page_stats() { + use parquet::file::properties::EnabledStatistics; + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let buf = parquet_bytes(2, 1, EnabledStatistics::None); + let reader = SerializedFileReader::new(buf).unwrap(); + let metadata = reader.metadata(); + + let mut exp_ci: Option> = None; + let mut exp_oi: Option> = None; + for rg in metadata.row_groups() { + for col in rg.columns() { + if let (Some(off), Some(len)) = (col.column_index_offset(), col.column_index_length()) { + let (s, e) = (off as u64, off as u64 + len as u64); + exp_ci = Some(match exp_ci { + Some(a) => a.start.min(s)..a.end.max(e), + None => s..e, + }); + } + if let (Some(off), Some(len)) = (col.offset_index_offset(), col.offset_index_length()) { + let (s, e) = (off as u64, off as u64 + len as u64); + exp_oi = Some(match exp_oi { + Some(a) => a.start.min(s)..a.end.max(e), + None => s..e, + }); + } + } + } + let mut expected: Vec> = Vec::new(); + if let Some(r) = exp_ci.clone() { + expected.push(r); + } + if let Some(r) = exp_oi { + expected.push(r); + } + + assert_eq!( + compute_page_index_range(metadata), + expected, + "result must equal the independent [CI?, OI?] fold, skipping absent index kinds" + ); + // Column index requires page-level statistics; with stats disabled it must be absent. + assert!(exp_ci.is_none(), "column index must be absent when statistics are disabled"); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs index 3010b0b1bea09..7e92a8507db67 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs @@ -101,6 +101,28 @@ pub fn set_scoped_page_index_enabled(enabled: bool) { SCOPED_PAGE_INDEX_ENABLED.store(enabled, Ordering::Relaxed); } +/// Whether the page-index loader fetches each file's WHOLE index region in one +/// `get_ranges` (decode stays scoped) instead of per-column scoped fetches. +/// +/// Only worthwhile on a remote/warm object store: the warm tier is keyed by the +/// exact byte-range string, and eager shard-init populates the whole-region range, +/// so a narrower per-column fetch computes a different key and misses. Fetching the +/// whole region makes the query's key match what warming wrote → a warm hit. For +/// local stores there is no warm tier and fewer bytes is better, so it stays off. +/// Set from `create_reader` when a Java-supplied (remote) store is wired in. +pub(crate) static WHOLE_REGION_FETCH_ENABLED: AtomicBool = AtomicBool::new(false); + +/// Returns true when whole-region page-index fetch is enabled (remote stores). +pub fn is_whole_region_fetch_enabled() -> bool { + WHOLE_REGION_FETCH_ENABLED.load(Ordering::Relaxed) +} + +/// Enable/disable whole-region page-index fetch. Called from `create_reader` based +/// on whether a remote object store is in use (`store_ptr > 0`). +pub fn set_whole_region_fetch_enabled(enabled: bool) { + WHOLE_REGION_FETCH_ENABLED.store(enabled, Ordering::Relaxed); +} + pub use cache_store::ScopedCacheStats; pub use page_index_io::load_scoped_page_index_cols; pub use column_schema_resolver::{ diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs index 201c146434497..a197592c10fec 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs @@ -181,11 +181,22 @@ async fn get_or_build_column_index( Some(col_index_matrix) } +/// One row group's decode unit: the scoped columns and their precomputed chunk +/// metadata. Built once per RG and used by BOTH the fetch (to union the chunks' +/// byte extents) and the decode (to pass to `read_*_indexes`), so `chunks` is +/// cloned from the footer exactly once. struct RgPlan { rg: usize, cols: Vec, chunks: Vec, - range_start: u64, +} + +impl RgPlan { + fn new(footer_meta: &Arc, rg: usize, cols: Vec) -> Self { + let rgm = footer_meta.row_group(rg); + let chunks = cols.iter().map(|&i| rgm.column(i).clone()).collect(); + Self { rg, cols, chunks } + } } struct CiCell { @@ -214,35 +225,27 @@ async fn build_column_index_cells( for &(col, rg) in col_rg_matrix { by_rg.entry(rg).or_default().push(col); } + let plan: Vec = by_rg + .into_iter() + .map(|(rg, cols)| RgPlan::new(footer_meta, rg, cols)) + .collect(); - let mut plans: Vec = Vec::with_capacity(by_rg.len()); - let mut fetch_ranges: Vec> = Vec::with_capacity(by_rg.len()); - for (rg, cols) in by_rg { - let rgm = footer_meta.row_group(rg); - let chunks: Vec = cols.iter().map(|&i| rgm.column(i).clone()).collect(); - let range = column_index_union(&chunks)?; - plans.push(RgPlan { rg, cols, chunks, range_start: range.start }); - fetch_ranges.push(range); - } - - let buffers = store.get_ranges(location, &fetch_ranges).await.ok()?; - if buffers.len() != fetch_ranges.len() { - return None; - } + // Fetch (wide whole-region on remote, narrow per-RG on local). Decode below is + // always scoped to the requested columns. + let buffers = fetch_index_buffers(store, location, footer_meta, &plan, ci_extent).await?; let mut out: Vec = Vec::with_capacity(col_rg_matrix.len()); - for (plan, buf) in plans.iter().zip(buffers.iter()) { - let reader = BufferChunkReader { base: plan.range_start, bytes: buf.clone() }; + for (i, p) in plan.iter().enumerate() { // Deprecated but the only PUBLIC column-subset decoder (arrow-rs#8643). #[allow(deprecated)] - let decoded = read_columns_indexes(&reader, &plan.chunks).ok()??; - if decoded.len() != plan.cols.len() { + let decoded = read_columns_indexes(&buffers.reader(i), &p.chunks).ok()??; + if decoded.len() != p.cols.len() { return None; } - let rgm = footer_meta.row_group(plan.rg); - for (entry, &col) in decoded.into_iter().zip(plan.cols.iter()) { + let rgm = footer_meta.row_group(p.rg); + for (entry, &col) in decoded.into_iter().zip(p.cols.iter()) { let size = rgm.column(col).column_index_length().unwrap_or(0).max(0) as usize; - out.push(CiCell { col, rg: plan.rg, data: entry, size }); + out.push(CiCell { col, rg: p.rg, data: entry, size }); } } Some(out) @@ -400,31 +403,17 @@ async fn build_offset_index_columns( cols: &[usize], num_rgs: usize, ) -> Option> { - struct RgPlan { - chunks: Vec, - range_start: u64, - } - let mut plans: Vec = Vec::with_capacity(num_rgs); - let mut fetch_ranges: Vec> = Vec::with_capacity(num_rgs); - for rg_idx in 0..num_rgs { - let rg = footer_meta.row_group(rg_idx); - let chunks: Vec = cols.iter().map(|&i| rg.column(i).clone()).collect(); - let range = offset_index_union(&chunks)?; - plans.push(RgPlan { chunks, range_start: range.start }); - fetch_ranges.push(range); - } - - let buffers = store.get_ranges(location, &fetch_ranges).await.ok()?; - if buffers.len() != fetch_ranges.len() { - return None; - } + // Same `cols` on every RG (read-time safety). Fetch, then decode scoped per RG. + let plan: Vec = (0..num_rgs) + .map(|rg| RgPlan::new(footer_meta, rg, cols.to_vec())) + .collect(); + let buffers = fetch_index_buffers(store, location, footer_meta, &plan, oi_extent).await?; // Per-column accumulator: one OiColumn slot per requested col, filled RG by RG. let mut columns: Vec = cols.iter().map(|_| Vec::with_capacity(num_rgs)).collect(); - for (plan, buf) in plans.iter().zip(buffers.iter()) { - let reader = BufferChunkReader { base: plan.range_start, bytes: buf.clone() }; + for (i, p) in plan.iter().enumerate() { #[allow(deprecated)] - let decoded = read_offset_indexes(&reader, &plan.chunks).ok()??; + let decoded = read_offset_indexes(&buffers.reader(i), &p.chunks).ok()??; if decoded.len() != cols.len() { return None; } @@ -445,41 +434,124 @@ async fn build_offset_index_columns( Some(out) } -/// Union of `column_index` byte ranges across the given column chunks. `None` if -/// any chunk lacks a column index (we require all predicate columns to have one, -/// else fall back to footer-only). -fn column_index_union(chunks: &[ColumnChunkMetaData]) -> Option> { - range_union(chunks, |c| { - let off = u64::try_from(c.column_index_offset()?).ok()?; - let len = u64::try_from(c.column_index_length()?).ok()?; - Some(off..off + len) - }) +/// The page-index extent (byte offset..end) of one column chunk, for one index kind. +/// The only thing that differs between the CI and OI fetch paths. +type ChunkExtent = fn(&ColumnChunkMetaData) -> Option>; + +fn ci_extent(c: &ColumnChunkMetaData) -> Option> { + let off = u64::try_from(c.column_index_offset()?).ok()?; + let len = u64::try_from(c.column_index_length()?).ok()?; + Some(off..off + len) +} + +fn oi_extent(c: &ColumnChunkMetaData) -> Option> { + let off = u64::try_from(c.offset_index_offset()?).ok()?; + let len = u64::try_from(c.offset_index_length()?).ok()?; + Some(off..off + len) +} + +/// Fetch the page-index bytes for a decode plan and return one [`BufferChunkReader`] +/// The fetched page-index bytes for a decode plan. The caller builds a transient +/// [`BufferChunkReader`] per decode iteration via [`IndexBuffers::reader`] — readers +/// are never stored across the loop. +enum IndexBuffers { + /// Wide (remote): every plan entry decodes from the ONE whole-region buffer. + Shared { base: u64, bytes: Bytes }, + /// Narrow (local): one scoped buffer per plan entry, aligned to `plan` order. + PerEntry(Vec<(u64, Bytes)>), } -/// Union of `offset_index` byte ranges across the given column chunks. -fn offset_index_union(chunks: &[ColumnChunkMetaData]) -> Option> { - range_union(chunks, |c| { - let off = u64::try_from(c.offset_index_offset()?).ok()?; - let len = u64::try_from(c.offset_index_length()?).ok()?; - Some(off..off + len) - }) +impl IndexBuffers { + /// Reader for the `i`-th plan entry. A `BufferChunkReader` is a `(u64, Bytes)` + /// where `Bytes::clone` is a refcount bump, so this is cheap and short-lived. + fn reader(&self, i: usize) -> BufferChunkReader { + match self { + IndexBuffers::Shared { base, bytes } => { + BufferChunkReader { base: *base, bytes: bytes.clone() } + } + IndexBuffers::PerEntry(v) => { + BufferChunkReader { base: v[i].0, bytes: v[i].1.clone() } + } + } + } } -fn range_union( - chunks: &[ColumnChunkMetaData], - f: impl Fn(&ColumnChunkMetaData) -> Option>, -) -> Option> { +/// Fetch the page-index bytes for a decode plan. The single place the fetch strategy +/// is decided: +/// +/// - **Remote/warm store** ([`is_whole_region_fetch_enabled`]) — ONE `get_ranges` +/// over the file's whole index region (all cols × all RGs; lenient — missing +/// columns skipped). Matches the range key eager warm-population writes, so a +/// warmed file is a hit instead of remote IO. All entries share that one buffer; +/// only the scoped columns are decoded out, so heap is unchanged — just the bytes +/// fetched widen. +/// - **Local store** — the original narrow per-entry fetch of just the scoped +/// columns' extents (fewer bytes; no warm tier to match). +/// +/// `extent` selects the index kind. `None` (→ footer-only fallback) if there is no +/// such index region, or — narrow path — any scoped column lacks an extent. +async fn fetch_index_buffers( + store: &Arc, + location: &object_store::path::Path, + footer_meta: &Arc, + plan: &[RgPlan], + extent: ChunkExtent, +) -> Option { + if super::is_whole_region_fetch_enabled() { + // Whole region spans ALL cols × ALL RGs, so it's derived from the footer, + // not the (scoped) plan. + let region = whole_index_region(footer_meta, extent)?; + let buffers = store.get_ranges(location, std::slice::from_ref(®ion)).await.ok()?; + return Some(IndexBuffers::Shared { base: region.start, bytes: buffers.first()?.clone() }); + } + // Narrow: one scoped fetch per plan entry, reusing each entry's precomputed chunks. + let mut fetch_ranges: Vec> = Vec::with_capacity(plan.len()); + for p in plan { + fetch_ranges.push(union_extent(&p.chunks, extent)?); + } + let buffers = store.get_ranges(location, &fetch_ranges).await.ok()?; + if buffers.len() != fetch_ranges.len() { + return None; + } + Some(IndexBuffers::PerEntry( + fetch_ranges.iter().map(|r| r.start).zip(buffers).collect(), + )) +} + +/// `min(start)..max(end)` over EVERY `(col, rg)` chunk's `extent`, skipping columns +/// without one (lenient). The whole-file index region for the wide fetch — the +/// single source of truth for the range key warm-population must also write. +fn whole_index_region(footer_meta: &Arc, extent: ChunkExtent) -> Option> { + let num_cols = footer_meta.file_metadata().schema_descr().num_columns(); + let mut acc: Option> = None; + for rg in 0..footer_meta.num_row_groups() { + let rgm = footer_meta.row_group(rg); + for col in 0..num_cols { + if let Some(r) = extent(rgm.column(col)) { + acc = Some(merge(acc, r)); + } + } + } + acc +} + +/// Union of `extent` across `chunks`; any missing extent bails to `None` (the narrow +/// path requires all requested columns to have an index, else footer-only fallback). +fn union_extent(chunks: &[ColumnChunkMetaData], extent: ChunkExtent) -> Option> { let mut acc: Option> = None; for c in chunks { - let r = f(c)?; // any missing range → bail (caller falls back) - acc = Some(match acc { - None => r, - Some(a) => a.start.min(r.start)..a.end.max(r.end), - }); + acc = Some(merge(acc, extent(c)?)); } acc } +fn merge(acc: Option>, r: Range) -> Range { + match acc { + None => r, + Some(a) => a.start.min(r.start)..a.end.max(r.end), + } +} + /// A [`ChunkReader`] over an in-memory byte buffer representing the file region /// `[base, base + bytes.len())`. The arrow-rs page-index readers call /// `get_bytes(absolute_offset, len)`; we translate into the buffer. @@ -538,8 +610,8 @@ mod tests { use super::*; use super::super::{ clear_scoped_cache_for_test, column_index_cache_stats, offset_index_cache_stats, - scoped_cache_stats, set_column_index_cache_limit_for_test, ScopedCacheStats, - SCOPED_CACHE_TEST_GUARD, + scoped_cache_stats, set_column_index_cache_limit_for_test, set_whole_region_fetch_enabled, + ScopedCacheStats, SCOPED_CACHE_TEST_GUARD, }; use super::super::column_schema_resolver::{resolve_predicate_parquet_columns, resolve_predicate_parquet_columns_pair}; use crate::indexed_table::page_pruner::{build_pruning_predicate, PagePruner}; @@ -1456,4 +1528,75 @@ mod tests { clear_scoped_cache_for_test(); } + // ── Whole-region fetch (remote/warm stores) ─────────────────────────────── + + /// With whole-region fetch on, the grafted index decodes IDENTICALLY to the + /// narrow path: scoped pruning still matches the full index, and the decode is + /// still scoped (one CI cell per (col, rg), not one per column). Only the bytes + /// fetched widen. `whole_index_region` is a superset of the scoped union, so the + /// shared buffer must contain every scoped column's absolute offsets. + #[tokio::test] + async fn whole_region_fetch_matches_full_index_and_stays_scoped() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + set_whole_region_fetch_enabled(true); + + let (bytes, schema) = four_rg_parquet(); // id, v — 4 RGs, multi-page + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["id".to_string()]); + + // Whole CI region is a strict superset of the scoped `id`-only union. + let region = whole_index_region(&fo, ci_extent).unwrap(); + let scoped = union_extent( + &[fo.row_group(0).column(0).clone()], + ci_extent, + ).unwrap(); + assert!(region.start <= scoped.start && region.end >= scoped.end, "region superset of scoped"); + + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + + // Decode stayed scoped: 4 RGs × 1 predicate col = 4 CI cells (not all columns). + assert_eq!(ci().entries, 4, "decode scoped to predicate col despite wide fetch"); + let c = aug.column_index().unwrap(); + assert!(matches!(c[0][1], ColumnIndexMetaData::NONE), "non-predicate col stays NONE"); + + // Pruning identical to the full index. + let full = full_index(&bytes); + let pp = build_pruning_predicate(&pred("id", 0, Operator::GtEq, 20), schema.clone()).unwrap(); + for rg in 0..4 { + let s = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, rg, None); + let f = PagePruner::new(&schema, Arc::clone(&full)).prune_rg(&pp, rg, None); + assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept), "RG{rg} pruning matches full"); + } + + set_whole_region_fetch_enabled(false); + clear_scoped_cache_for_test(); + } + + /// The OffsetIndex path under whole-region fetch reads the projected column + /// correctly (same bytes as the full index), proving the shared whole-region + /// buffer resolves every scoped column's absolute offsets. + #[tokio::test] + async fn whole_region_fetch_offset_index_reads_match_full() { + let _g = CACHE_TEST_GUARD.lock().unwrap(); + clear_scoped_cache_for_test(); + set_whole_region_fetch_enabled(true); + + let (bytes, schema) = two_col_parquet(); + let (store, loc) = stage(bytes.clone()).await; + let fo = footer_only(&bytes); + let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[1]).await.unwrap(); + + let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); + let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); + let full_vals = read_selected_column(&bytes, &full_index(&bytes), 1, selection).unwrap(); + assert_eq!(scoped_vals, (116..132).collect::>()); + assert_eq!(scoped_vals, full_vals); + + set_whole_region_fetch_enabled(false); + clear_scoped_cache_for_test(); + } + } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 3bc8f3cc02745..c665dae11d181 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -876,6 +876,78 @@ pub unsafe extern "C" fn df_cache_manager_add_files( Ok(0) } +/// Warmup: load footer (lightweight) into heap and promote footer + page/offset +/// index bytes to the metadata Foyer tier (never-evict) through the store. +/// +/// After this call: +/// - file_metadata_cache (heap): lightweight ParquetMetaData (footer only, no page indexes) +/// - data Foyer: raw footer + page index bytes (via get_ranges populate) +/// - metadata Foyer: the same ranges promoted via `MetadataCachingStore::put_metadata` +/// +/// Promotion happens entirely in Rust inside `CustomCacheManager::add_files_with_store`; +/// the Java caller only supplies the file paths. +/// +/// # Safety +/// - `runtime_ptr` must be a valid pointer from `df_create_global_runtime`. +/// - `store_ptr` must be a valid `Box>` pointer (produced by +/// `ts_get_object_store_box_ptr`). +/// - `files_ptr[i]` must point to `files_len_ptr[i]` valid UTF-8 bytes. +#[ffm_safe] +#[no_mangle] +pub unsafe extern "C" fn df_cache_manager_add_files_with_store( + runtime_ptr: i64, + store_ptr: i64, + files_ptr: *const *const u8, + files_len_ptr: *const i64, + files_count: i64, +) -> i64 { + if runtime_ptr == 0 { + return Err("df_cache_manager_add_files_with_store: null runtime pointer".to_string()); + } + if store_ptr == 0 { + return Err("df_cache_manager_add_files_with_store: null store pointer".to_string()); + } + + let runtime = &*(runtime_ptr as *const DataFusionRuntime); + let manager = runtime + .custom_cache_manager + .as_ref() + .ok_or_else(|| "df_cache_manager_add_files_with_store: no cache manager".to_string())?; + + // Pointer type is `Arc`; the manager calls `put_metadata` + // directly via the trait, no downcast needed. + let store_box = &*(store_ptr + as *const std::sync::Arc); + let store = std::sync::Arc::clone(store_box); + + let mut file_paths = Vec::with_capacity(files_count as usize); + for i in 0..files_count as usize { + let ptr = *files_ptr.add(i); + let len = *files_len_ptr.add(i); + file_paths.push( + str_from_raw(ptr, len) + .map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))? + .to_string(), + ); + } + + let rt_manager = get_rt_manager() + .map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))?; + let rt_handle = rt_manager.io_runtime.handle(); + + let results = manager.add_files_with_store(&file_paths, store, rt_handle) + .map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))?; + + // Log summary + let success_count = results.iter().filter(|(_, ok)| *ok).count(); + native_bridge_common::log_info!( + "df_cache_manager_add_files_with_store: {} files, {} warmed (page-index promoted to metadata Foyer)", + files_count, success_count + ); + + Ok(0) +} + // --------------------------------------------------------------------------- // SessionContext decomposition — instruction-based execution // --------------------------------------------------------------------------- diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 0c954e73ed1b4..364262254d147 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -67,3 +67,11 @@ pub use cache::page_index as parquet_page_cache; #[cfg(test)] mod spill_e2e_test; + +// End-to-end TieredObjectStore + TieredBlockCache integration tests. Located here +// (not in the lower-level `opensearch-tiered-storage` crate) because they drive a +// real DataFusion session + Parquet I/O, and DataFusion/Parquet/Arrow are already +// normal dependencies of this crate — keeping the storage-primitive crate's test +// build free of the DataFusion stack. +#[cfg(test)] +mod tiered_storage_integration_tests; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs new file mode 100644 index 0000000000000..5ed3db79799f4 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs @@ -0,0 +1,1535 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Integration tests: TieredObjectStore + TieredBlockCache with real Parquet files. +//! +//! Uses `#[test]` (not `#[tokio::test]`) because FoyerCache::new() internally +//! calls block_on() and panics if called inside an existing tokio runtime. + +use std::sync::Arc; + +use arrow::datatypes::{DataType, Field, Schema}; +use arrow_array::{Int64Array, RecordBatch, StringArray}; +use object_store::local::LocalFileSystem; +use object_store::path::Path; +use object_store::{ObjectStore, ObjectStoreExt}; +use parquet::arrow::ArrowWriter; +use parquet::file::properties::WriterProperties; +use tempfile::TempDir; + +use opensearch_block_cache::foyer::foyer_cache::FoyerCache; +use opensearch_block_cache::range_cache::range_cache_key; +use opensearch_block_cache::tiered_block_cache::TieredBlockCache; +use opensearch_block_cache::traits::BlockCache; + +use opensearch_tiered_storage::registry::traits::FileRegistry; +use opensearch_tiered_storage::registry::TieredStorageRegistry; +use opensearch_tiered_storage::tiered_object_store::TieredObjectStore; +use opensearch_tiered_storage::types::{FileLocation, TieredFileEntry}; + +// ── Helpers ───────────────────────────────────────────────────────────────────── + +const BLOCK_SIZE: usize = 1 * 1024 * 1024; +const DISK_BYTES: usize = 8 * 1024 * 1024; +const BUFFER_POOL: usize = 8 * 1024 * 1024; +const SUBMIT_QUEUE: usize = 8 * 1024 * 1024; + +fn create_tiered_cache(data_dir: &std::path::Path, meta_dir: &std::path::Path) -> Arc { + let data_cache = Arc::new(FoyerCache::new( + DISK_BYTES, data_dir, BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let metadata_cache = Arc::new(FoyerCache::new( + DISK_BYTES, meta_dir, BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + Arc::new(TieredBlockCache::new(data_cache, metadata_cache)) +} + +fn create_store( + parquet_dir: &std::path::Path, + cache: Arc, + path_str: &str, + file_size: u64, +) -> Arc { + let local: Arc = Arc::new( + LocalFileSystem::new_with_prefix(parquet_dir).unwrap() + ); + let registry = Arc::new(TieredStorageRegistry::new()); + let store = TieredObjectStore::new(registry, local) + .with_cache(cache as Arc); + let store = Arc::new(store); + store.registry().register( + path_str, + TieredFileEntry::with_size(FileLocation::Local, None, file_size), + ); + store +} + +#[allow(deprecated)] +fn write_test_parquet(dir: &std::path::Path, filename: &str, num_row_groups: usize) -> u64 { + let schema = Arc::new(Schema::new(vec![ + Field::new("id", DataType::Int64, false), + Field::new("name", DataType::Utf8, false), + ])); + + let file_path = dir.join(filename); + let file = std::fs::File::create(&file_path).unwrap(); + let props = WriterProperties::builder().set_max_row_group_row_count(Some(100)).build(); + let mut writer = ArrowWriter::try_new(file, schema.clone(), Some(props)).unwrap(); + + for rg in 0..num_row_groups { + let offset = (rg * 100) as i64; + let ids: Vec = (offset..offset + 100).collect(); + let names: Vec = ids.iter().map(|i| format!("name_{}", i)).collect(); + let batch = RecordBatch::try_new(schema.clone(), vec![ + Arc::new(Int64Array::from(ids)), + Arc::new(StringArray::from(names)), + ]).unwrap(); + writer.write(&batch).unwrap(); + } + + writer.close().unwrap(); + std::fs::metadata(&file_path).unwrap().len() +} + +/// Shared runtime for test async blocks (created lazily, not inside FoyerCache::new). +fn block_on(f: F) -> F::Output { + static RT: std::sync::OnceLock = std::sync::OnceLock::new(); + RT.get_or_init(|| tokio::runtime::Runtime::new().unwrap()).block_on(f) +} + +/// Compute the single global page index range matching parquet crate's `range_for_page_index()`. +/// +/// Folds ALL columns across ALL row groups into a single contiguous range +/// encompassing all column_index and offset_index data. Returns `None` if the +/// file has no page index metadata. +fn compute_global_page_index_range(metadata: &parquet::file::metadata::ParquetMetaData) -> Option> { + metadata.row_groups().iter() + .flat_map(|rg| rg.columns().iter()) + .fold(None::>, |acc, col| { + let acc = if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + }; + if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + } + }) +} + +/// Compute merged column index and offset index ranges per row group. +/// +/// Returns two optional ranges per RG: (column_index_range, offset_index_range). +fn compute_per_rg_page_index_ranges( + rg: &parquet::file::metadata::RowGroupMetaData, +) -> (Option>, Option>) { + let col_idx_range = rg.columns().iter().fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + } + }); + + let off_idx_range = rg.columns().iter().fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc + } + }); + + (col_idx_range, off_idx_range) +} + +/// Set up a DataFusion session with the store registered and a ListingTable for the given file. +/// +/// Returns the SessionContext and the inferred schema. The table is registered as `table_name`. +async fn setup_df_session( + store: Arc, + file_path: &str, + table_name: &str, + schema: Option>, +) -> (datafusion::prelude::SessionContext, Arc) { + use datafusion::prelude::*; + use datafusion::datasource::listing::{ListingTable, ListingTableConfig, ListingTableUrl, ListingOptions}; + use datafusion::datasource::file_format::parquet::ParquetFormat; + + let ctx = SessionContext::new(); + let url = url::Url::parse("file://").unwrap(); + ctx.runtime_env().register_object_store(&url, store.clone() as Arc); + + let table_url = ListingTableUrl::parse(&format!("file:///{}", file_path)).unwrap(); + let format = Arc::new(ParquetFormat::default()); + let listing_options = ListingOptions::new(format).with_file_extension(".parquet"); + + let schema = match schema { + Some(s) => s, + None => listing_options.infer_schema(&ctx.state(), &table_url).await.unwrap(), + }; + + let config = ListingTableConfig::new(table_url) + .with_listing_options(listing_options) + .with_schema(schema.clone()); + let table = ListingTable::try_new(config).unwrap(); + ctx.register_table(table_name, Arc::new(table)).unwrap(); + + (ctx, schema) +} + +// ── Tests ─────────────────────────────────────────────────────────────────────── + +/// Helper: simulates warmup — reads bytes via local FS and puts into metadata cache. +fn warmup_metadata( + cache: &TieredBlockCache, + parquet_dir: &std::path::Path, + filename: &str, + start: u64, + end: u64, +) -> bytes::Bytes { + let file_path = parquet_dir.join(filename); + let file_bytes = std::fs::read(&file_path).unwrap(); + let range_bytes = bytes::Bytes::copy_from_slice(&file_bytes[start as usize..end as usize]); + let key = range_cache_key(filename, start, end); + cache.put_metadata(&key, range_bytes.clone()); + range_bytes +} + +#[test] +fn metadata_routed_to_metadata_cache_data_to_data_cache() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "test.parquet", 3); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "test.parquet", file_size); + + let path = Path::from("test.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Warmup: explicitly put metadata into metadata cache + let footer = warmup_metadata(&cache, parquet_dir.path(), "test.parquet", footer_start, file_size); + + block_on(async { + // Metadata read via get_range → get_opts → cache probe HIT + let footer_from_cache = store.get_range(&path, footer_start..file_size).await.unwrap(); + assert_eq!(footer_from_cache, footer); + + // Confirm in metadata cache, NOT data cache + let footer_key = range_cache_key("test.parquet", footer_start, file_size); + assert!(cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata cache"); + assert!(cache.data_cache().get(&footer_key).await.is_none(), + "footer must NOT be in data cache"); + + // Data read (get_ranges) → data cache + let data = store.get_ranges(&path, &[0u64..4096]).await.unwrap(); + assert_eq!(data[0].len(), 4096); + + // Confirm data in data cache, NOT metadata cache + let data_key = range_cache_key("test.parquet", 0, 4096); + assert!(cache.data_cache().get(&data_key).await.is_some(), + "data must be in data cache"); + assert!(cache.metadata_cache().get(&data_key).await.is_none(), + "data must NOT be in metadata cache"); + }); +} + +#[test] +fn metadata_survives_restart_via_foyer_recovery() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "restart.parquet", 2); + let path = Path::from("restart.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Session 1: warmup puts metadata into metadata cache + let original_bytes = { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + warmup_metadata(&cache, parquet_dir.path(), "restart.parquet", footer_start, file_size) + }; + + // Session 2: new instances, same SSD dirs — Foyer recovers + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "restart.parquet", file_size); + block_on(async { + // get_range → get_opts → cache probe → HIT (recovered from SSD) + let bytes = store.get_range(&path, footer_start..file_size).await.unwrap(); + assert_eq!(bytes, original_bytes, "metadata must survive restart"); + }); + } +} + +#[test] +fn evict_prefix_clears_both_caches_on_shard_delete() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "delete.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "delete.parquet", file_size); + let path = Path::from("delete.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Warmup metadata + populate data + warmup_metadata(&cache, parquet_dir.path(), "delete.parquet", footer_start, file_size); + + block_on(async { + let _data = store.get_ranges(&path, &[0u64..4096]).await.unwrap(); + + let footer_key = range_cache_key("delete.parquet", footer_start, file_size); + let data_key = range_cache_key("delete.parquet", 0, 4096); + assert!(cache.metadata_cache().get(&footer_key).await.is_some()); + assert!(cache.data_cache().get(&data_key).await.is_some()); + + // Shard delete + store.evict_path("delete.parquet"); + + assert!(cache.metadata_cache().get(&footer_key).await.is_none(), "metadata must be evicted"); + assert!(cache.data_cache().get(&data_key).await.is_none(), "data must be evicted"); + }); +} + +/// Proves metadata is served from cache, not local FS: delete the local file +/// after warmup, then read via store — must succeed from cache. +#[test] +fn metadata_served_from_ssd_not_local_fs() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "ssd_only.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "ssd_only.parquet", file_size); + let path = Path::from("ssd_only.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Warmup puts metadata into metadata cache + let original = warmup_metadata(&cache, parquet_dir.path(), "ssd_only.parquet", footer_start, file_size); + + // Delete local file — force subsequent reads to come from cache only + std::fs::remove_file(parquet_dir.path().join("ssd_only.parquet")).unwrap(); + + block_on(async { + // Read via store — local FS is gone, must succeed from metadata SSD cache + let from_cache = store.get_range(&path, footer_start..file_size).await.unwrap(); + assert_eq!(from_cache, original, "must serve from SSD cache after local deletion"); + }); +} + +/// Fill data cache beyond capacity, verify metadata is untouched. +#[test] +fn data_pressure_does_not_evict_metadata() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "pressure.parquet", 5); + + let data_cache = Arc::new(FoyerCache::new( + 2 * 1024 * 1024, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let metadata_cache = Arc::new(FoyerCache::new( + DISK_BYTES, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); + let store = create_store(parquet_dir.path(), cache.clone(), "pressure.parquet", file_size); + let path = Path::from("pressure.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Warmup + let footer = warmup_metadata(&cache, parquet_dir.path(), "pressure.parquet", footer_start, file_size); + let footer_key = range_cache_key("pressure.parquet", footer_start, file_size); + + block_on(async { + // Fill data cache to trigger eviction + for i in 0..20 { + let start = (i * 1024) as u64; + let end = start + 102400; + if end <= file_size { + let _ = store.get_ranges(&path, &[start..end]).await; + } + } + + // Metadata untouched + assert!(cache.metadata_cache().get(&footer_key).await.is_some(), + "metadata must survive data cache LRU pressure"); + let footer_after = store.get_range(&path, footer_start..file_size).await.unwrap(); + assert_eq!(footer_after, footer); + }); +} + +/// Suffix fetch resolves to correct absolute range and hits metadata cache. +#[test] +fn suffix_fetch_resolves_and_hits_cache() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "suffix.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "suffix.parquet", file_size); + let path = Path::from("suffix.parquet"); + + let suffix_size = 4096u64; + let expected_start = file_size - suffix_size; + + // Warmup: put with absolute range key + warmup_metadata(&cache, parquet_dir.path(), "suffix.parquet", expected_start, file_size); + + block_on(async { + // Suffix fetch should resolve to same absolute key and hit cache + use object_store::GetOptions; + let opts = GetOptions { + range: Some(object_store::GetRange::Suffix(suffix_size)), + ..Default::default() + }; + let result = store.get_opts(&path, opts).await.unwrap(); + let suffix_bytes = result.bytes().await.unwrap(); + + // Must match what we put via absolute range + let bounded_bytes = store.get_range(&path, expected_start..file_size).await.unwrap(); + assert_eq!(suffix_bytes, bounded_bytes, + "suffix fetch must resolve to same bytes as bounded range"); + }); +} + +/// Multiple concurrent reads of same metadata range — all succeed with same bytes. +#[test] +fn concurrent_metadata_reads_are_safe() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "concurrent.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "concurrent.parquet", file_size); + let path = Path::from("concurrent.parquet"); + let footer_start = file_size.saturating_sub(8 * 1024); + + // Warmup + let expected = warmup_metadata(&cache, parquet_dir.path(), "concurrent.parquet", footer_start, file_size); + + block_on(async { + let mut handles = Vec::new(); + for _ in 0..10 { + let store = store.clone(); + let path = path.clone(); + handles.push(tokio::spawn(async move { + store.get_range(&path, footer_start..file_size).await.unwrap() + })); + } + + let results: Vec<_> = futures::future::join_all(handles).await + .into_iter().map(|r| r.unwrap()).collect(); + + for (i, result) in results.iter().enumerate() { + assert_eq!(result, &expected, + "concurrent read {} must match warmup bytes", i); + } + }); +} + +/// A range read via get_range (single) and get_ranges (multi with one element) +/// must NOT create duplicate cache entries — verify they use compatible paths. +#[test] +fn get_range_and_get_ranges_share_same_cache_key() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "keyshare.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "keyshare.parquet", file_size); + let path = Path::from("keyshare.parquet"); + + block_on(async { + // Read first 4KB via get_ranges (data path → data_cache) + let via_ranges = store.get_ranges(&path, &[0u64..4096]).await.unwrap(); + + // Read same range via get_range (metadata path → metadata_cache) + let via_range = store.get_range(&path, 0u64..4096).await.unwrap(); + + // Both must return same bytes + assert_eq!(via_ranges[0], via_range, "get_range and get_ranges must return same bytes"); + + // The key is the same regardless of path + let key = range_cache_key("keyshare.parquet", 0, 4096); + + // get_ranges puts in data_cache, get_range puts in metadata_cache + // One or both should have it — important thing is bytes are correct + let in_data = cache.data_cache().get(&key).await; + let in_meta = cache.metadata_cache().get(&key).await; + assert!(in_data.is_some() || in_meta.is_some(), + "range must be cached in at least one tier"); + }); +} + +/// When metadata cache is full, reads still succeed via local FS / S3. +/// Foyer may drop entries that exceed capacity (LRU hasn't run yet). +/// The system degrades gracefully — no panics, no errors. +#[test] +fn metadata_cache_full_reads_still_succeed_via_local_fs() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + // Write a large parquet file + let file_size = write_test_parquet(parquet_dir.path(), "breach.parquet", 10); + + // Tiny metadata cache (1MB disk, 1MB block) — will fill quickly + let data_cache = Arc::new(FoyerCache::new( + DISK_BYTES, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let metadata_cache = Arc::new(FoyerCache::new( + 1 * 1024 * 1024, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); + let store = create_store(parquet_dir.path(), cache.clone(), "breach.parquet", file_size); + let path = Path::from("breach.parquet"); + + block_on(async { + // Read multiple ranges — even with small metadata cache, reads succeed + // (served from local FS since get_opts doesn't auto-populate) + let mut all_bytes = Vec::new(); + for i in 0..10 { + let start = (i * 1024) as u64; + let end = start + 4096; + if end <= file_size { + let bytes = store.get_range(&path, start..end).await.unwrap(); + all_bytes.push((start, end, bytes)); + } + } + + // All reads succeed — no panics, no errors regardless of cache state + assert!(!all_bytes.is_empty(), "reads must succeed regardless of metadata cache pressure"); + + // Repeated reads also succeed (from local FS — get_opts does not auto-populate cache) + for (start, end, original) in &all_bytes { + let bytes = store.get_range(&path, *start..*end).await.unwrap(); + assert_eq!(&bytes, original, + "repeated read of {}..{} must return same bytes", start, end); + } + }); +} + +/// DataFusion reads Parquet through the TieredObjectStore, executing a real SQL query. +#[test] +fn datafusion_query_through_tiered_store() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "query.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "query.parquet", file_size); + + block_on(async { + let (ctx, _schema) = setup_df_session(store.clone(), "query.parquet", "test_table", None).await; + + let df = ctx.sql("SELECT id, name FROM test_table WHERE id < 5 ORDER BY id") + .await.unwrap(); + let batches = df.collect().await.unwrap(); + + assert!(!batches.is_empty()); + let total_rows: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!(total_rows, 5, "WHERE id < 5 should return 5 rows"); + }); +} + +/// Warmup puts metadata via store.put_metadata(), then DataFusion query reads +/// metadata from metadata_cache (never-evict) and data from data_cache. +/// After warmup, the local file is deleted to prove all reads come from cache. +#[test] +fn warmup_put_metadata_then_datafusion_query_from_cache() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "warm.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "warm.parquet", file_size); + + block_on(async { + // ── Warmup: read metadata through store, then promote to metadata_cache ── + // First, let DataFusion do a full query to discover what ranges it needs. + // This populates data_cache with all metadata + data ranges. + let (ctx, schema) = setup_df_session(store.clone(), "warm.parquet", "t", None).await; + + let batches = ctx.sql("SELECT id FROM t WHERE id < 5 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + assert_eq!(batches.iter().map(|b| b.num_rows()).sum::(), 5); + + // Step 2: Now promote the footer range to metadata_cache. + let footer_start = file_size.saturating_sub(64 * 1024); + let footer_key = range_cache_key("warm.parquet", footer_start, file_size); + if let Some(footer_bytes) = cache.get(&footer_key).await { + store.put_metadata("warm.parquet", &[footer_start..file_size], &[footer_bytes]); + } + + // Verify metadata is now in metadata_cache + assert!(cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata_cache after put_metadata"); + + // ── Delete local file — all subsequent reads must come from cache ──── + std::fs::remove_file(parquet_dir.path().join("warm.parquet")).unwrap(); + + // ── Query again: must succeed entirely from cache ──────────────────── + let (ctx2, _) = setup_df_session(store.clone(), "warm.parquet", "t", Some(schema)).await; + + let batches2 = ctx2.sql("SELECT id FROM t WHERE id < 5 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + assert_eq!(batches2.iter().map(|b| b.num_rows()).sum::(), 5, + "query after file deletion must succeed from cache (metadata in metadata_cache)"); + }); +} + +/// Key alignment test: warmup via put_metadata, then DataFusion query hits cache. +/// +/// Strategy: +/// 1. Run DataFusion query (cold start) — all reads go to local FS and populate +/// data_cache via get_opts/get_ranges. Query succeeds. +/// 2. Delete local file. +/// 3. Run same query again — must succeed entirely from cache (data_cache populated +/// by step 1). This proves the keys produced by DataFusion's read path are the +/// same keys stored in the cache — key alignment is correct. +/// +/// This validates that get_opts (metadata path) and get_ranges (data path) produce +/// consistent, deterministic cache keys that are found on subsequent probes. +#[test] +fn datafusion_query_succeeds_from_cache_after_local_file_deleted() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "align.parquet", 2); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "align.parquet", file_size); + + block_on(async { + // ── Query 1: cold start, file on local FS ──────────────────────────── + let (ctx, schema) = setup_df_session(store.clone(), "align.parquet", "t", None).await; + + let batches = ctx.sql("SELECT id FROM t WHERE id < 3 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + let rows1: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!(rows1, 3, "query 1 must return 3 rows"); + + // ── Delete local file — cache is the only source now ───────────────── + std::fs::remove_file(parquet_dir.path().join("align.parquet")).unwrap(); + + // ── Query 2: same query, file gone — must succeed from cache ───────── + let (ctx2, _) = setup_df_session(store.clone(), "align.parquet", "t", Some(schema)).await; + + let batches2 = ctx2.sql("SELECT id FROM t WHERE id < 3 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + let rows2: usize = batches2.iter().map(|b| b.num_rows()).sum(); + assert_eq!(rows2, 3, + "query 2 (file deleted) must succeed from cache — proves key alignment"); + }); +} + +// ── New correctness-risk integration tests ───────────────────────────────────── + +/// Write a Parquet file with page-level statistics (column index + offset index) +/// enabled. Returns the file size. +#[allow(deprecated)] +fn write_page_indexed_parquet(dir: &std::path::Path, filename: &str, num_row_groups: usize, num_columns: usize) -> u64 { + let mut fields: Vec = Vec::new(); + for i in 0..num_columns { + fields.push(Field::new(format!("col_{}", i), DataType::Int64, false)); + } + let schema = Arc::new(Schema::new(fields)); + + let file_path = dir.join(filename); + let file = std::fs::File::create(&file_path).unwrap(); + + // Enable page-level statistics by setting write_page_index(true) + // and small max_row_group_size so we get multiple row groups. + let props = WriterProperties::builder() + .set_max_row_group_row_count(Some(100)) + .set_column_index_truncate_length(Some(64)) + .set_write_batch_size(50) // force multiple pages per row group + .build(); + + let mut writer = ArrowWriter::try_new(file, schema.clone(), Some(props)).unwrap(); + + for rg in 0..num_row_groups { + let offset = (rg * 100) as i64; + let columns: Vec> = (0..num_columns) + .map(|c| { + let vals: Vec = (offset..offset + 100).map(|v| v + (c as i64 * 1000)).collect(); + Arc::new(Int64Array::from(vals)) as Arc + }) + .collect(); + let batch = RecordBatch::try_new(schema.clone(), columns).unwrap(); + writer.write(&batch).unwrap(); + } + + writer.close().unwrap(); + std::fs::metadata(&file_path).unwrap().len() +} + +/// **Test 1**: Page index key alignment — warmup computes page index ranges from +/// footer metadata and stores them in metadata Foyer. At query time, the same +/// ranges must be found in the cache (key alignment). +/// +/// Strategy: warmup puts page index ranges into metadata Foyer using the same fold +/// logic as `custom_cache_manager.rs`. Then delete the local file. Reading those +/// ranges via the store must succeed from cache — proving key alignment. +#[test] +fn page_index_key_alignment_warmup_matches_query_time() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + // Write a multi-column file with page indexes enabled + let file_size = write_page_indexed_parquet(parquet_dir.path(), "page_idx.parquet", 3, 5); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "page_idx.parquet", file_size); + let path = Path::from("page_idx.parquet"); + + // Read footer and compute page index ranges using the shared helper + let file = std::fs::File::open(parquet_dir.path().join("page_idx.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let parquet_metadata = reader.metadata(); + + // Compute ONE global merged range — matching parquet crate's range_for_page_index() + let mut index_ranges: Vec> = Vec::new(); + if let Some(r) = compute_global_page_index_range(parquet_metadata) { + index_ranges.push(r); + } + + // Must have a page index range (proves our test file has page indexes) + assert!(!index_ranges.is_empty(), + "test file must have page index data; got {} ranges", index_ranges.len()); + + // Warmup: read actual bytes and put into metadata Foyer via store.put_metadata() + let file_bytes = std::fs::read(parquet_dir.path().join("page_idx.parquet")).unwrap(); + let range_data: Vec = index_ranges.iter() + .map(|r| bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])) + .collect(); + store.put_metadata("page_idx.parquet", &index_ranges, &range_data); + + // Assert: the global page index range covers ALL individual column offsets + let global_range = &index_ranges[0]; + for rg in parquet_metadata.row_groups() { + for (col_idx, col) in rg.columns().iter().enumerate() { + if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let start = offset as u64; + let end = start + length as u64; + assert!(start >= global_range.start && end <= global_range.end, + "col {} column_index {}..{} must be within global range {}..{}", + col_idx, start, end, global_range.start, global_range.end); + } + if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + let start = offset as u64; + let end = start + length as u64; + assert!(start >= global_range.start && end <= global_range.end, + "col {} offset_index {}..{} must be within global range {}..{}", + col_idx, start, end, global_range.start, global_range.end); + } + } + } + + // Assert: the exact cache key we expect is in metadata Foyer + let expected_key = range_cache_key("page_idx.parquet", global_range.start, global_range.end); + block_on(async { + assert!(cache.metadata_cache().get(&expected_key).await.is_some(), + "exact global page index key {}..{} must be in metadata Foyer", + global_range.start, global_range.end); + + // Assert: page index range is NOT in data Foyer (put_metadata goes only to metadata) + assert!(cache.data_cache().get(&expected_key).await.is_none(), + "page index range must NOT be in data Foyer — only metadata Foyer"); + }); + + // Also warmup the footer (last 8KB) + let footer_start = file_size.saturating_sub(8 * 1024); + warmup_metadata(&cache, parquet_dir.path(), "page_idx.parquet", footer_start, file_size); + + // Delete local file — all reads must come from metadata cache + std::fs::remove_file(parquet_dir.path().join("page_idx.parquet")).unwrap(); + + block_on(async { + // Read the global page index range via store — must succeed from metadata cache + let result = store.get_range(&path, global_range.start..global_range.end).await; + assert!(result.is_ok(), + "global page index range ({}..{}) must be served from metadata cache after file deletion", + global_range.start, global_range.end); + let bytes = result.unwrap(); + assert_eq!(bytes, range_data[0], + "page index bytes must match warmup data byte-for-byte"); + }); +} + +/// **Test 2**: Concurrent shard warmup does not corrupt shared metadata Foyer. +/// +/// Multiple shards warming up in parallel (different files, same TieredBlockCache) +/// must not interfere. After all complete, each file's metadata is independently +/// correct and retrievable. +#[test] +fn concurrent_shard_warmup_does_not_corrupt() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + + // Create 5 parquet files simulating 5 shard warmups + let num_shards = 5; + let mut file_info: Vec<(String, u64, bytes::Bytes)> = Vec::new(); + for i in 0..num_shards { + let filename = format!("shard_{}.parquet", i); + let file_size = write_test_parquet(parquet_dir.path(), &filename, 2 + i); + let footer_start = file_size.saturating_sub(8 * 1024); + // Read footer bytes before spawning tasks + let file_bytes = std::fs::read(parquet_dir.path().join(&filename)).unwrap(); + let footer_bytes = bytes::Bytes::copy_from_slice( + &file_bytes[footer_start as usize..file_size as usize] + ); + file_info.push((filename, file_size, footer_bytes)); + } + + block_on(async { + // Spawn 5 concurrent warmup tasks + let mut handles = Vec::new(); + for (filename, file_size, footer_bytes) in &file_info { + let cache_clone = cache.clone(); + let filename = filename.clone(); + let file_size = *file_size; + let footer_bytes = footer_bytes.clone(); + handles.push(tokio::spawn(async move { + let footer_start = file_size.saturating_sub(8 * 1024); + let key = range_cache_key(&filename, footer_start, file_size); + cache_clone.put_metadata(&key, footer_bytes); + })); + } + + // Wait for all warmups to complete + for handle in handles { + handle.await.unwrap(); + } + + // Verify each file's metadata is independently correct + for (filename, file_size, expected_bytes) in &file_info { + let footer_start = file_size.saturating_sub(8 * 1024); + let key = range_cache_key(filename, footer_start, *file_size); + let cached = cache.metadata_cache().get(&key).await; + assert!(cached.is_some(), + "metadata for {} must be retrievable after concurrent warmup", filename); + assert_eq!(cached.unwrap(), *expected_bytes, + "metadata for {} must not be corrupted by concurrent warmup", filename); + } + }); +} + +/// **Test 3**: Metadata Foyer capacity breach graceful degradation. +/// +/// When metadata Foyer SSD fills, new put_metadata calls may fail silently (Foyer +/// behavior). Reads should still work for entries that survived, and no panics or +/// errors occur — graceful degradation. +#[test] +fn metadata_foyer_capacity_breach_graceful_degradation() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + // Write a larger file to have enough data to fill cache + let file_size = write_test_parquet(parquet_dir.path(), "overflow.parquet", 10); + + // Create a metadata cache with very small capacity (1MB) + let data_cache = Arc::new(FoyerCache::new( + DISK_BYTES, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let metadata_cache = Arc::new(FoyerCache::new( + 1 * 1024 * 1024, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, + "auto", 0, 0.0, 0, false, + )); + let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); + let store = create_store(parquet_dir.path(), cache.clone(), "overflow.parquet", file_size); + let path = Path::from("overflow.parquet"); + + // Read file bytes for warmup + let file_bytes = std::fs::read(parquet_dir.path().join("overflow.parquet")).unwrap(); + + // Put many metadata entries to exceed 1MB capacity. + // Use small chunk sizes that fit within our actual file size. + let mut entries: Vec<(u64, u64, bytes::Bytes)> = Vec::new(); + let chunk_size = 1024u64; // 1KB chunks — small enough for our test file + let num_entries = (file_size / chunk_size).max(1); + for i in 0..num_entries { + let start = i * chunk_size; + let end = ((i + 1) * chunk_size).min(file_size); + if end > start && (end as usize) <= file_bytes.len() { + let data = bytes::Bytes::copy_from_slice(&file_bytes[start as usize..end as usize]); + entries.push((start, end, data.clone())); + let key = range_cache_key("overflow.parquet", start, end); + cache.put_metadata(&key, data); + } + } + + // No panics must have occurred. Now verify graceful degradation. + block_on(async { + let mut hits = 0; + let mut misses = 0; + + for (start, end, expected) in &entries { + let key = range_cache_key("overflow.parquet", *start, *end); + match cache.metadata_cache().get(&key).await { + Some(cached) => { + assert_eq!(&cached, expected, "cached metadata at {}..{} must match", start, end); + hits += 1; + } + None => { + misses += 1; + } + } + } + + // Some entries should have survived (at least the most recent ones) + assert!(hits > 0, + "at least some metadata entries must survive capacity pressure (got {} hits, {} misses)", + hits, misses); + + // Reads via store must not error even for ranges that missed metadata cache + // (they fall through to local FS or data cache) + for (start, end, _) in &entries { + let result = store.get_range(&path, *start..*end).await; + assert!(result.is_ok(), + "get_range({}..{}) must succeed (graceful degradation) even under capacity pressure", + start, end); + } + }); +} + +/// **Test 4**: Page index ranges match parquet crate computation. +/// +/// Our warmup code computes page index ranges by folding column_index_offset/length +/// and offset_index_offset/length across columns per RG. This test verifies that +/// the fold produces ranges that cover all column metadata by checking against +/// individual column offsets. +#[test] +fn page_index_ranges_match_parquet_crate_computation() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + + // Write a multi-column file (5 columns, 4 row groups) + let _file_size = write_page_indexed_parquet(parquet_dir.path(), "parity.parquet", 4, 5); + + let file = std::fs::File::open(parquet_dir.path().join("parity.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let parquet_metadata = reader.metadata(); + + for (rg_idx, rg) in parquet_metadata.row_groups().iter().enumerate() { + // Compute merged ranges using our shared fold helper + let (col_idx_range, off_idx_range) = compute_per_rg_page_index_ranges(rg); + + // Verify that every individual column's range is fully contained within the merged range + for (col_idx, col) in rg.columns().iter().enumerate() { + if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let start = offset as u64; + let end = start + length as u64; + let merged = col_idx_range.as_ref().unwrap(); + assert!(start >= merged.start && end <= merged.end, + "RG {} col {} column_index range {}..{} must be contained in merged {}..{}", + rg_idx, col_idx, start, end, merged.start, merged.end); + } + + if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + let start = offset as u64; + let end = start + length as u64; + let merged = off_idx_range.as_ref().unwrap(); + assert!(start >= merged.start && end <= merged.end, + "RG {} col {} offset_index range {}..{} must be contained in merged {}..{}", + rg_idx, col_idx, start, end, merged.start, merged.end); + } + } + + // Verify the merged range is tight (start == min offset, end == max offset+length) + if let Some(ref merged) = col_idx_range { + let actual_min = rg.columns().iter() + .filter_map(|c| c.column_index_offset().map(|o| o as u64)) + .min().unwrap(); + let actual_max = rg.columns().iter() + .filter_map(|c| { + c.column_index_offset().and_then(|o| { + c.column_index_length().map(|l| o as u64 + l as u64) + }) + }) + .max().unwrap(); + assert_eq!(merged.start, actual_min, + "RG {} column_index merged start must equal min offset", rg_idx); + assert_eq!(merged.end, actual_max, + "RG {} column_index merged end must equal max offset+length", rg_idx); + } + + if let Some(ref merged) = off_idx_range { + let actual_min = rg.columns().iter() + .filter_map(|c| c.offset_index_offset().map(|o| o as u64)) + .min().unwrap(); + let actual_max = rg.columns().iter() + .filter_map(|c| { + c.offset_index_offset().and_then(|o| { + c.offset_index_length().map(|l| o as u64 + l as u64) + }) + }) + .max().unwrap(); + assert_eq!(merged.start, actual_min, + "RG {} offset_index merged start must equal min offset", rg_idx); + assert_eq!(merged.end, actual_max, + "RG {} offset_index merged end must equal max offset+length", rg_idx); + } + } +} + +/// **Test 5**: get_opts probe does NOT pollute metadata Foyer with column data. +/// +/// At query time, column data reads via CachedMetadataReader::get_bytes() go +/// through get_opts. This must NOT put column data bytes into metadata Foyer. +/// Only warmup's explicit put_metadata() should populate metadata Foyer. +#[test] +fn get_opts_probe_does_not_pollute_metadata_foyer() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "nopollute.parquet", 3); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "nopollute.parquet", file_size); + let path = Path::from("nopollute.parquet"); + + // First, put only the footer into metadata cache via explicit warmup + let footer_start = file_size.saturating_sub(8 * 1024); + warmup_metadata(&cache, parquet_dir.path(), "nopollute.parquet", footer_start, file_size); + + block_on(async { + // Verify footer IS in metadata cache + let footer_key = range_cache_key("nopollute.parquet", footer_start, file_size); + assert!(cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata cache after warmup"); + + // Now read a column data range via get_range (simulates CachedMetadataReader::get_bytes) + // This goes through get_opts path + let data_start = 0u64; + let data_end = 4096u64; + let result = store.get_range(&path, data_start..data_end).await; + assert!(result.is_ok(), "get_range must succeed"); + + // The column data range must NOT be in metadata cache + let data_key = range_cache_key("nopollute.parquet", data_start, data_end); + assert!(cache.metadata_cache().get(&data_key).await.is_none(), + "column data range must NOT be in metadata cache — get_opts must not auto-populate metadata"); + assert!(cache.data_cache().get(&data_key).await.is_some(), + "get_opts must populate data cache on miss"); + + // Contrast: reading via get_ranges DOES populate data cache + let data2 = store.get_ranges(&path, &[100u64..4196]).await.unwrap(); + assert_eq!(data2[0].len(), 4096); + let data2_key = range_cache_key("nopollute.parquet", 100, 4196); + assert!(cache.data_cache().get(&data2_key).await.is_some(), + "get_ranges must populate data cache"); + assert!(cache.metadata_cache().get(&data2_key).await.is_none(), + "get_ranges must NOT populate metadata cache"); + }); +} + +/// **Test 6**: Restart — no S3/local FS reads for previously warmed metadata. +/// +/// On restart, warmup re-runs. Previously warmed metadata (footer + page indexes) +/// should be recovered from Foyer's SSD tier, not re-fetched from local FS. +/// +/// Strategy: warmup puts metadata ranges into metadata Foyer, drop caches, +/// recreate on same dirs. After recovery, verify that the majority of warmed +/// ranges are still available from SSD. Uses the existing `metadata_survives_restart` +/// pattern but with multiple ranges including page indexes. +/// +/// Note: Foyer's disk recovery may not recover every entry (small entries below +/// block alignment may be lost), so we verify that at least the footer and some +/// page index ranges survive — proving the SSD recovery path works. +#[test] +fn restart_no_s3_for_previously_warmed_metadata() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_page_indexed_parquet(parquet_dir.path(), "restart_meta.parquet", 3, 3); + + // Session 1: warmup puts footer + page index ranges into metadata Foyer + let mut warmed_ranges: Vec> = Vec::new(); + let mut warmed_data: Vec = Vec::new(); + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "restart_meta.parquet", file_size); + + // Read file and compute page index ranges + let file = std::fs::File::open(parquet_dir.path().join("restart_meta.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let parquet_metadata = reader.metadata(); + let file_bytes = std::fs::read(parquet_dir.path().join("restart_meta.parquet")).unwrap(); + + // Footer range (last 8KB — large enough to survive Foyer block alignment) + let footer_start = file_size.saturating_sub(8 * 1024); + warmed_ranges.push(footer_start..file_size); + warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..file_size as usize])); + + // Page index ranges + for rg in parquet_metadata.row_groups() { + let (col_idx_range, off_idx_range) = compute_per_rg_page_index_ranges(rg); + if let Some(r) = col_idx_range { + warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + warmed_ranges.push(r); + } + if let Some(r) = off_idx_range { + warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + warmed_ranges.push(r); + } + } + + assert!(warmed_ranges.len() >= 2, + "must have footer + at least 1 page index range"); + + // Put all ranges into metadata Foyer + store.put_metadata("restart_meta.parquet", &warmed_ranges, &warmed_data); + } + // Session 1 dropped — Foyer flushes to SSD + + // Session 2: new Foyer instances on same directories — should recover from SSD + // NOTE: we do NOT delete the local file here. Instead, we verify recovery by + // probing the metadata cache directly. This avoids flakiness from Foyer's block + // alignment behavior with very small entries. + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + + block_on(async { + let mut recovered_count = 0; + for (i, (range, expected)) in warmed_ranges.iter().zip(warmed_data.iter()).enumerate() { + let key = range_cache_key("restart_meta.parquet", range.start, range.end); + if let Some(cached) = cache.metadata_cache().get(&key).await { + assert_eq!(&cached, expected, + "recovered range {} ({}..{}) bytes must match original warmup data", + i, range.start, range.end); + recovered_count += 1; + } + } + + // The footer (range 0) must survive — it is the largest entry and most + // critical for restart without S3 calls. + let footer_key = range_cache_key("restart_meta.parquet", + warmed_ranges[0].start, warmed_ranges[0].end); + assert!(cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must survive SSD recovery — this is the primary restart-without-S3 guarantee"); + + // At least the footer should be recovered; page index ranges may or may not + // depending on Foyer's block packing. The key correctness guarantee is that + // recovered data is byte-for-byte correct (verified above). + assert!(recovered_count >= 1, + "at least the footer must survive SSD recovery (recovered {} of {} ranges)", + recovered_count, warmed_ranges.len()); + }); + } +} + +/// **HIGH-CONFIDENCE TEST**: Full production warmup sequence → delete file → +/// DataFusion query succeeds entirely from cache. +/// +/// This exercises the EXACT production path: +/// 1. Warmup: parse footer, compute page index ranges, put all into metadata Foyer +/// 2. First DataFusion query: reads column data → populates data Foyer +/// 3. Delete the local Parquet file (simulates warm node with no local copy) +/// 4. Second DataFusion query: must succeed from cache alone +/// - Metadata (footer): served from metadata Foyer via get_opts probe +/// - Column data: served from data Foyer via get_ranges probe +/// +/// If this test passes, key alignment is proven for ALL byte ranges across the +/// full stack: warmup → DataFusion → TieredObjectStore → TieredBlockCache → Foyer. +#[test] +fn production_warmup_then_query_from_cache_only() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_page_indexed_parquet(parquet_dir.path(), "prod.parquet", 3, 4); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "prod.parquet", file_size); + + // ── Step 1: Production warmup (same logic as warmup_file_with_store) ───── + let file_bytes = std::fs::read(parquet_dir.path().join("prod.parquet")).unwrap(); + let file = std::fs::File::open(parquet_dir.path().join("prod.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let parquet_metadata = reader.metadata(); + + // Compute all metadata ranges (footer + page indexes) + let mut metadata_ranges: Vec> = Vec::new(); + let mut metadata_bytes: Vec = Vec::new(); + + // Footer + let footer_start = file_size.saturating_sub(64 * 1024); + metadata_ranges.push(footer_start..file_size); + metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..file_size as usize])); + + // Page/offset indexes per RG + for rg in parquet_metadata.row_groups() { + let (col_idx_range, off_idx_range) = compute_per_rg_page_index_ranges(rg); + if let Some(r) = col_idx_range { + metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + metadata_ranges.push(r); + } + if let Some(r) = off_idx_range { + metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + metadata_ranges.push(r); + } + } + + // Put metadata into metadata Foyer (production warmup step) + store.put_metadata("prod.parquet", &metadata_ranges, &metadata_bytes); + + // ── Step 2: First DataFusion query (populates data Foyer with column data) ── + block_on(async { + let (ctx, schema) = setup_df_session(store.clone(), "prod.parquet", "prod", None).await; + + // Run query — this reads column data via get_ranges → data Foyer + let batches = ctx.sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") + .await.unwrap().collect().await.unwrap(); + let rows1: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert!(rows1 > 0, "first query must return rows"); + + // ── Step 3: Delete local file ──────────────────────────────────────── + std::fs::remove_file(parquet_dir.path().join("prod.parquet")).unwrap(); + + // ── Step 4: Second query — must succeed entirely from cache ─────────── + let (ctx2, _) = setup_df_session(store.clone(), "prod.parquet", "prod", Some(schema)).await; + + let batches2 = ctx2.sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") + .await.unwrap().collect().await.unwrap(); + let rows2: usize = batches2.iter().map(|b| b.num_rows()).sum(); + assert_eq!(rows2, rows1, + "second query (file deleted) must return same rows as first — proves full cache correctness"); + }); +} + +/// **HIGH-CONFIDENCE TEST**: Restart with file deleted — Foyer is the ONLY source. +/// +/// Session 1: production warmup + DataFusion query (populates both caches) +/// Session 2: new Foyer instances (same SSD dirs), file deleted → DataFusion query succeeds. +/// +/// This proves that across a full restart (new process, new Foyer instances), +/// the recovered SSD state is sufficient to serve all reads without any +/// local FS or S3 access. +/// +/// Requires: FoyerCache::drop() calls HybridCache::close() to flush partial blocks. +#[test] +fn restart_with_file_deleted_query_succeeds_from_foyer_only() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "restart_full.parquet", 2); + let expected_rows; + let saved_schema; + + // ── Session 1: warmup + query (populates both caches) ──────────────────── + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "restart_full.parquet", file_size); + + // Warmup: put footer into metadata Foyer + let footer_start = file_size.saturating_sub(64 * 1024); + let file_bytes = std::fs::read(parquet_dir.path().join("restart_full.parquet")).unwrap(); + let footer_bytes = bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..]); + store.put_metadata("restart_full.parquet", &[footer_start..file_size], &[footer_bytes]); + + // Run DataFusion query — populates data Foyer with column data + let (rows, schema) = block_on(async { + let (ctx, schema) = setup_df_session(store.clone(), "restart_full.parquet", "t", None).await; + + let batches = ctx.sql("SELECT id FROM t WHERE id < 10 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + let rows = batches.iter().map(|b| b.num_rows()).sum::(); + (rows, schema) + }); + expected_rows = rows; + saved_schema = schema; + assert!(expected_rows > 0); + } + // Session 1 dropped — FoyerCache::drop() calls HybridCache::close() which + // flushes partial blocks to SSD. No sleep needed. + + // ── Delete local file between sessions ─────────────────────────────────── + std::fs::remove_file(parquet_dir.path().join("restart_full.parquet")).unwrap(); + + // ── Session 2: new Foyer instances, file gone — query from Foyer only ──── + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "restart_full.parquet", file_size); + + let rows = block_on(async { + // Use saved schema from session 1 (in production, CatalogSnapshot provides this) + let (ctx, _) = setup_df_session(store.clone(), "restart_full.parquet", "t", Some(saved_schema)).await; + + let batches = ctx.sql("SELECT id FROM t WHERE id < 10 ORDER BY id") + .await.unwrap().collect().await.unwrap(); + batches.iter().map(|b| b.num_rows()).sum::() + }); + + assert_eq!(rows, expected_rows, + "restart query (file deleted, new Foyer instances) must return same rows — \ + proves full lifecycle: warmup → persist → recover → serve from Foyer only"); + } +} + + +/// get_opts auto-populates data Foyer on miss — repeated single-range reads +/// hit data cache on second access (simulates CachedMetadataReader::get_bytes +/// for column chunks in IndexedExec path). +#[test] +fn get_opts_populates_data_cache_on_miss() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "indexed.parquet", 3); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "indexed.parquet", file_size); + let path = Path::from("indexed.parquet"); + + block_on(async { + let range = 0u64..4096; + + // First read: cache miss → local FS → populate data Foyer + let bytes1 = store.get_range(&path, range.clone()).await.unwrap(); + assert_eq!(bytes1.len(), 4096); + + // Verify: entry is now in data Foyer (not metadata Foyer) + let key = range_cache_key("indexed.parquet", 0, 4096); + assert!(cache.data_cache().get(&key).await.is_some(), + "first read must populate data Foyer"); + assert!(cache.metadata_cache().get(&key).await.is_none(), + "get_opts must NOT populate metadata Foyer"); + + // Second read: hits data Foyer (no local FS needed) + // Delete file to prove it comes from cache + std::fs::remove_file(parquet_dir.path().join("indexed.parquet")).unwrap(); + + let bytes2 = store.get_range(&path, range).await.unwrap(); + assert_eq!(bytes2, bytes1, + "second read must return same bytes from data Foyer cache"); + }); +} + +/// get_opts skips caching for ranges exceeding max_cache_entry_size. +/// The threshold is configurable and dynamically updatable. +#[test] +fn get_opts_skips_caching_for_large_ranges() { + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_test_parquet(parquet_dir.path(), "threshold.parquet", 5); + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "threshold.parquet", file_size); + let path = Path::from("threshold.parquet"); + + // Set threshold to 2KB — anything larger skips caching + cache.update_max_data_entry_size(2048); + + block_on(async { + // Read 4KB range (> 2KB threshold) — should NOT be cached + let large_range = 0u64..4096.min(file_size); + let bytes = store.get_range(&path, large_range.clone()).await.unwrap(); + assert!(!bytes.is_empty()); + + let large_key = range_cache_key("threshold.parquet", large_range.start, large_range.end); + assert!(cache.data_cache().get(&large_key).await.is_none(), + "range > threshold must NOT be cached"); + + // Read 1KB range (< 2KB threshold) — should be cached + let small_range = 0u64..1024.min(file_size); + let _ = store.get_range(&path, small_range.clone()).await.unwrap(); + + let small_key = range_cache_key("threshold.parquet", small_range.start, small_range.end); + assert!(cache.data_cache().get(&small_key).await.is_some(), + "range < threshold must be cached"); + + // Dynamic update: increase threshold to 8KB — now 4KB is cached + cache.update_max_data_entry_size(8192); + let _ = store.get_range(&path, large_range.clone()).await.unwrap(); + assert!(cache.data_cache().get(&large_key).await.is_some(), + "after threshold increase, 4KB range must be cached"); + }); +} + +// ── Small-file + per-range metadata persistence (prod-gap reproduction) ────── +// +// Production logs (warm node, ~3 KB Parquet file) showed that after warmup the +// metadata tier's key_index.json contained ONLY the whole-file footer key +// (`␟0-`) — the column-index, offset-index, and 8-byte postscript +// keys were missing. These tests pin the property that EVERY warmed range must +// land in the never-evict metadata tier, and isolate the small-file footer +// collapse that triggers the overlap. + +/// Compute the warmup ranges exactly as `custom_cache_manager::warmup_file_with_store`: +/// - CI + OI page-index whole regions (via the real `compute_page_index_range`) +/// - footer: `[size - 64KB, size]` (collapses to `[0, size]` for files < 64KB) +/// - postscript: `[size - 8, size]` +fn production_warmup_ranges( + metadata: &parquet::file::metadata::ParquetMetaData, + file_size: u64, +) -> Vec> { + let mut ranges = crate::cache::custom_cache_manager::compute_page_index_range(metadata); + let footer_start = file_size.saturating_sub(64 * 1024); + ranges.push(footer_start..file_size); + let postscript_start = file_size.saturating_sub(8); + ranges.push(postscript_start..file_size); + ranges +} + +/// In-session per-range persistence: warm a small (< 64 KB) page-indexed file +/// exactly as production does, then assert that EACH warmed range (CI, OI, footer, +/// postscript) is individually present in the metadata tier — not just the +/// whole-file footer key. +#[test] +fn small_file_warmup_persists_every_range_to_metadata_tier() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + // 11 columns × 1 row group → a few-KB file, matching the production shape + // (col_count=11, rg_count=1, size ≈ 3 KB). + let file_size = write_page_indexed_parquet(parquet_dir.path(), "small.parquet", 1, 11); + assert!(file_size < 64 * 1024, "fixture must be smaller than the 64KB footer prefetch"); + + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "small.parquet", file_size); + + let file = std::fs::File::open(parquet_dir.path().join("small.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let ranges = production_warmup_ranges(reader.metadata(), file_size); + assert_eq!(ranges.len(), 4, "expected CI, OI, footer, postscript ranges"); + + // Root-cause quirk: for a sub-64KB file the footer range is the whole file. + assert_eq!(ranges[2], 0..file_size, "small-file footer range collapses to the whole file"); + + block_on(async { + let path = Path::from("small.parquet"); + let fetched = store.get_ranges(&path, &ranges).await.unwrap(); + store.put_metadata("small.parquet", &ranges, &fetched); + + for r in &ranges { + let key = range_cache_key("small.parquet", r.start, r.end); + assert!( + cache.metadata_cache().get(&key).await.is_some(), + "warmed range {}..{} ({} bytes) must be in the metadata tier \ + (prod showed only the footer key persisting)", + r.start, r.end, r.end - r.start + ); + } + }); +} + +/// Restart variant — closest to the production `key_index.json` evidence. Warm all +/// ranges into the metadata tier, drop the caches (FoyerCache::drop flushes + +/// persists), then recreate on the same SSD dirs and assert EVERY warmed range is +/// recovered byte-for-byte. If the small CI/OI/postscript entries are lost on Foyer +/// SSD recovery while the larger footer survives, this fails on those ranges — +/// reproducing the production symptom. +#[test] +fn small_file_warmed_ranges_survive_restart() { + use parquet::file::reader::FileReader; + use parquet::file::serialized_reader::SerializedFileReader; + + let parquet_dir = TempDir::new().unwrap(); + let data_dir = TempDir::new().unwrap(); + let meta_dir = TempDir::new().unwrap(); + + let file_size = write_page_indexed_parquet(parquet_dir.path(), "small_restart.parquet", 1, 11); + assert!(file_size < 64 * 1024); + + let file = std::fs::File::open(parquet_dir.path().join("small_restart.parquet")).unwrap(); + let reader = SerializedFileReader::new(file).unwrap(); + let ranges = production_warmup_ranges(reader.metadata(), file_size); + + let file_bytes = std::fs::read(parquet_dir.path().join("small_restart.parquet")).unwrap(); + let datas: Vec = ranges + .iter() + .map(|r| bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])) + .collect(); + + // Session 1: warm all ranges, then drop → flush to SSD + persist key_index. + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + let store = create_store(parquet_dir.path(), cache.clone(), "small_restart.parquet", file_size); + store.put_metadata("small_restart.parquet", &ranges, &datas); + } + + // Session 2: new instances on the same SSD dirs — Foyer recovers from disk. + { + let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); + block_on(async { + for (i, r) in ranges.iter().enumerate() { + let key = range_cache_key("small_restart.parquet", r.start, r.end); + let recovered = cache.metadata_cache().get(&key).await; + assert!( + recovered.is_some(), + "range[{}] {}..{} ({} bytes) must survive Foyer SSD recovery \ + (prod showed only the whole-file footer surviving)", + i, r.start, r.end, r.end - r.start + ); + assert_eq!(recovered.unwrap(), datas[i], "recovered bytes must match the warmed bytes"); + } + }); + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java index adfd2eb5356ec..31a0838b18ee8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java @@ -266,6 +266,23 @@ public void onFilesAdded(Collection filePaths) { } } + /** + * Warmup files through the TieredObjectStore — reads metadata via the store + * (populating Foyer caches) and puts into heap cache. For warm nodes where + * files are on S3, this routes through the registry to remote storage. + * + * @param filePaths absolute paths of the files to warm + * @param storeBoxPtr Box<Arc<dyn ObjectStore>> pointer from TieredStorageBridge.getObjectStoreBoxPtr + */ + public void onFilesAddedWithStore(Collection filePaths, long storeBoxPtr) { + if (filePaths == null || filePaths.isEmpty()) return; + try { + NativeBridge.cacheManagerAddFilesWithStore(runtimeHandle.get(), storeBoxPtr, filePaths.toArray(new String[0])); + } catch (Exception e) { + logger.warn("Failed to warmup files with store", e); + } + } + /** * Notifies the native cache that files have been deleted and should be evicted. * @param filePaths absolute paths of the deleted files diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReaderManager.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReaderManager.java index a066eda7bf3da..008468648ddd5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReaderManager.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionReaderManager.java @@ -110,7 +110,30 @@ public void onFilesDeleted(Collection files) throws IOException { @Override public void onFilesAdded(Collection files) throws IOException { if (files == null || files.isEmpty()) return; - dataFusionService.onFilesAdded(toAbsolutePaths(files)); + Collection absolutePaths = toAbsolutePaths(files); + long storePtr = storePointerOrDefault(dataformatAwareStoreHandle); + if (storePtr > 0) { + dataFusionService.onFilesAddedWithStore(absolutePaths, storePtr); + } else { + dataFusionService.onFilesAdded(absolutePaths); + } + } + + /** + * Resolves the native store pointer for cache warming. Returns {@code 0} when there is no + * live handle (no per-shard remote store, e.g. hot tier) so the caller falls back to the + * legacy local-FS warming path. + */ + private static long storePointerOrDefault(NativeStoreHandle handle) { + if (handle == null) { + return 0L; + } + try { + return handle.getPointer(); + } catch (IllegalStateException closed) { + // Handle closed between check and extraction — fall back to local. + return 0L; + } } @Override diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index 5ca552750c36c..9c743b72a5f49 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -125,6 +125,7 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle DESTROY_CUSTOM_CACHE_MANAGER; private static final MethodHandle CREATE_CACHE; private static final MethodHandle CACHE_MANAGER_ADD_FILES; + private static final MethodHandle CACHE_MANAGER_ADD_FILES_WITH_STORE; private static final MethodHandle CACHE_MANAGER_REMOVE_FILES; private static final MethodHandle CACHE_MANAGER_CLEAR; private static final MethodHandle CACHE_MANAGER_CLEAR_BY_TYPE; @@ -468,6 +469,18 @@ private static RuntimeException rethrowConverted(RuntimeException e) { ) ); + CACHE_MANAGER_ADD_FILES_WITH_STORE = linker.downcallHandle( + lib.find("df_cache_manager_add_files_with_store").orElseThrow(), + FunctionDescriptor.of( + ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG, // runtime_ptr + ValueLayout.JAVA_LONG, // store_ptr + ValueLayout.ADDRESS, // files_ptr + ValueLayout.ADDRESS, // files_len_ptr + ValueLayout.JAVA_LONG // files_count + ) + ); + CACHE_MANAGER_REMOVE_FILES = linker.downcallHandle( lib.find("df_cache_manager_remove_files").orElseThrow(), FunctionDescriptor.of( @@ -1622,6 +1635,22 @@ public static void cacheManagerAddFiles(long runtimePtr, String[] filePaths) { } } + /** + * Load metadata for files through the given TieredObjectStore. + * Reads footer (lightweight) into heap cache, fetches page/offset index bytes + * through the store (populating data Foyer), and returns for promotion to metadata Foyer. + * + * @param runtimePtr pointer from createGlobalRuntime + * @param storePtr Box<Arc<dyn ObjectStore>> pointer (from TieredStorageBridge.getObjectStoreBoxPtr) + * @param filePaths array of absolute file paths + */ + public static void cacheManagerAddFilesWithStore(long runtimePtr, long storePtr, String[] filePaths) { + try (var call = new NativeCall()) { + var f = call.strArray(filePaths); + call.invoke(CACHE_MANAGER_ADD_FILES_WITH_STORE, runtimePtr, storePtr, f.ptrs(), f.lens(), f.count()); + } + } + public static void cacheManagerRemoveFiles(long runtimePtr, String[] filePaths) { try (var call = new NativeCall()) { var f = call.strArray(filePaths); diff --git a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexRecoveryIT.java b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexRecoveryIT.java index 9614adb3f85bf..28cf1bcb47264 100644 --- a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexRecoveryIT.java +++ b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexRecoveryIT.java @@ -423,6 +423,122 @@ public void testWrongVersionKeyIndexFileResultsInCleanStartup() throws Exception assertDocCount(indexName + "-copy", 50L); } + // ── Tiered-mode coverage ───────────────────────────────────────────────── + + /** + * Tiered mode (default): both the data tier and the metadata tier each persist + * their own {@code key_index.json} on graceful warm-node restart. + * + *

      With {@code block_cache.foyer.metadata_cache_ratio > 0} (5% by default) the + * Foyer block cache splits into two independent instances under + * {@code foyer-block-cache/data} and {@code foyer-block-cache/metadata}. Each + * tier has its own Drop impl writing its own snapshot. This test guards against + * a regression where one tier's persistence wiring is broken while the other + * appears healthy — the previous helper would only see the data tier and miss + * a metadata-tier failure entirely. + */ + public void testTieredBothTiersWriteKeyIndexOnShutdown() throws Exception { + final Client client = client(); + final String indexName = "test-tiered-shutdown"; + + setupWarmNodeWithIndex(client, indexName); + assertDocCount(indexName + "-copy", 50L); + + logger.info("[tiered-shutdown-01] restarting warm node '{}'", getWarmNodeName()); + internalCluster().restartNode(getWarmNodeName()); + ensureGreen(); + + Path dataDir = findFoyerCacheDir(); + Path metaDir = findFoyerMetadataCacheDir(); + assertNotNull("data-tier cache directory must exist on warm node after restart", dataDir); + assertNotNull( + "metadata-tier cache directory must exist on warm node after restart " + + "(check block_cache.foyer.metadata_cache_ratio is > 0)", + metaDir + ); + + // Both tiers wrote a key_index.json. + Path dataKeyIndex = dataDir.resolve(KEY_INDEX_FILENAME); + Path metaKeyIndex = metaDir.resolve(KEY_INDEX_FILENAME); + assertTrue("data-tier key_index.json must exist after restart", Files.exists(dataKeyIndex)); + assertTrue("metadata-tier key_index.json must exist after restart", Files.exists(metaKeyIndex)); + + // No leftover .tmp files on either tier. + assertFalse( + "data-tier .key_index.json.tmp must not exist after successful rename", + Files.exists(dataDir.resolve(KEY_INDEX_TMP_FILENAME)) + ); + assertFalse( + "metadata-tier .key_index.json.tmp must not exist after successful rename", + Files.exists(metaDir.resolve(KEY_INDEX_TMP_FILENAME)) + ); + + // Both snapshots are valid JSON with version=1. + String dataContent = Files.readString(dataKeyIndex); + String metaContent = Files.readString(metaKeyIndex); + assertFalse("data-tier key_index.json must not be empty", dataContent.isBlank()); + assertFalse("metadata-tier key_index.json must not be empty", metaContent.isBlank()); + assertTrue("data-tier key_index.json must contain version:1", dataContent.contains("\"version\":1")); + assertTrue("metadata-tier key_index.json must contain version:1", metaContent.contains("\"version\":1")); + + // Cluster healthy after restart. + assertDocCount(indexName + "-copy", 50L); + } + + /** + * Tiered mode: the periodic persist task fires independently on both tiers + * and writes {@code key_index.json} within the configured interval. + * + *

      Each tier owns its own persist task, so this test catches the case where + * one tier's task is starved or never spawned — symptoms that would otherwise + * only surface on shutdown. + */ + public void testTieredBothTiersPeriodicPersistFires() throws Exception { + final Client client = client(); + final String indexName = "test-tiered-periodic"; + + setupWarmNodeWithIndex(client, indexName); + assertDocCount(indexName + "-copy", 50L); + + Path dataDir = findFoyerCacheDir(); + Path metaDir = findFoyerMetadataCacheDir(); + assertNotNull("data-tier cache directory must exist on warm node", dataDir); + assertNotNull( + "metadata-tier cache directory must exist on warm node " + "(check block_cache.foyer.metadata_cache_ratio is > 0)", + metaDir + ); + + logger.info("[tiered-periodic-01] waiting up to 30s for periodic persist (interval=5s) on data and metadata tiers"); + + // Persist interval is 5s (set in nodeSettings); allow up to 30s for both tiers. + assertBusy(() -> { + assertTrue( + "data-tier key_index.json must be written by periodic persist task within interval", + Files.exists(dataDir.resolve(KEY_INDEX_FILENAME)) + ); + assertTrue( + "metadata-tier key_index.json must be written by periodic persist task within interval", + Files.exists(metaDir.resolve(KEY_INDEX_FILENAME)) + ); + }, 30, TimeUnit.SECONDS); + + // No leftover .tmp files after successful rename on either tier. + assertFalse( + "data-tier .key_index.json.tmp must not exist after successful periodic persist", + Files.exists(dataDir.resolve(KEY_INDEX_TMP_FILENAME)) + ); + assertFalse( + "metadata-tier .key_index.json.tmp must not exist after successful periodic persist", + Files.exists(metaDir.resolve(KEY_INDEX_TMP_FILENAME)) + ); + + // Both tiers' content is valid JSON with version=1. + String dataContent = Files.readString(dataDir.resolve(KEY_INDEX_FILENAME)); + String metaContent = Files.readString(metaDir.resolve(KEY_INDEX_FILENAME)); + assertTrue("data-tier key_index.json must contain version:1", dataContent.contains("\"version\":1")); + assertTrue("metadata-tier key_index.json must contain version:1", metaContent.contains("\"version\":1")); + } + // ── Helper methods ──────────────────────────────────────────────────────── /** @@ -520,7 +636,44 @@ private long getWarmNodeUsedBytes(Client client) { * different node ordinals. Fails the test with a descriptive message if the directory is * not found — this ensures file-level assertions are never silently skipped. */ + /** + * Locates the Foyer block cache directory that holds {@code key_index.json}. + * + *

      In tiered mode (default — {@code block_cache.foyer.metadata_cache_ratio > 0}) + * the layout is {@code foyer-block-cache/data/} and {@code foyer-block-cache/metadata/}; + * each subdir has its own {@code key_index.json}. This helper returns the data + * subdir in that case. In single-cache mode the file lives directly under + * {@code foyer-block-cache/}, which is what gets returned then. + * + *

      Use {@link #findFoyerMetadataCacheDir()} for the metadata-tier subdir. + */ private Path findFoyerCacheDir() { + Path root = findFoyerCacheRoot(); + if (root == null) { + return null; + } + Path dataSubdir = root.resolve("data"); + if (Files.isDirectory(dataSubdir)) { + return dataSubdir; // tiered mode + } + return root; // single-cache mode + } + + /** + * Returns the metadata-tier subdir ({@code foyer-block-cache/metadata}) when + * the cache is in tiered mode, or {@code null} in single-cache mode. + */ + private Path findFoyerMetadataCacheDir() { + Path root = findFoyerCacheRoot(); + if (root == null) { + return null; + } + Path metaSubdir = root.resolve("metadata"); + return Files.isDirectory(metaSubdir) ? metaSubdir : null; + } + + /** Locates the {@code foyer-block-cache} parent directory on the warm node. */ + private Path findFoyerCacheRoot() { String warmName = getWarmNodeName(); assertNotNull("A warm node must be present in the cluster", warmName); diff --git a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java index 63d50e165ac3a..e6419115a6a67 100644 --- a/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java +++ b/sandbox/plugins/block-cache-foyer/src/internalClusterTest/java/org/opensearch/blockcache/foyer/BlockCacheKeyIndexScaleIT.java @@ -224,6 +224,48 @@ public void testEvictPrefixAfterRecovery() throws Exception { assertTrue("Warm node must still be present and healthy after bulk evict_prefix", foundWarm); } + /** + * Tiered mode: verify that BOTH the data tier and the metadata tier write + * their own {@code key_index.json} on graceful warm-node shutdown. + * + *

      With the default {@code block_cache.foyer.metadata_cache_ratio} (5%) the + * Foyer block cache runs in tiered mode and creates two independent Foyer + * instances rooted at {@code foyer-block-cache/data} and + * {@code foyer-block-cache/metadata}. Each tier owns its own key_index.json, + * its own Drop impl, and its own periodic-persist task. A regression in either + * tier's persistence wiring would leak state across restarts. + */ + public void testKeyIndexJsonForBothTiersWrittenOnShutdown() throws Exception { + setupScaleShards(); + + logger.info("[scale-tiered-01] restarting warm node '{}'", getWarmNodeName()); + internalCluster().restartNode(getWarmNodeName()); + ensureGreen(TimeValue.timeValueSeconds(120)); + + Path dataDir = findFoyerCacheDir(); + Path metaDir = findFoyerMetadataCacheDir(); + assertNotNull("data-tier cache directory must exist on warm node after restart", dataDir); + assertNotNull( + "metadata-tier cache directory must exist on warm node after restart " + + "(check block_cache.foyer.metadata_cache_ratio is > 0)", + metaDir + ); + + // Data tier + Path dataKeyIndex = dataDir.resolve(KEY_INDEX_FILENAME); + assertTrue("data-tier key_index.json must exist after restart", Files.exists(dataKeyIndex)); + String dataContent = Files.readString(dataKeyIndex); + assertFalse("data-tier key_index.json must not be empty", dataContent.isBlank()); + assertTrue("data-tier key_index.json must contain version:1", dataContent.contains("\"version\":1")); + + // Metadata tier + Path metaKeyIndex = metaDir.resolve(KEY_INDEX_FILENAME); + assertTrue("metadata-tier key_index.json must exist after restart", Files.exists(metaKeyIndex)); + String metaContent = Files.readString(metaKeyIndex); + assertFalse("metadata-tier key_index.json must not be empty", metaContent.isBlank()); + assertTrue("metadata-tier key_index.json must contain version:1", metaContent.contains("\"version\":1")); + } + /** * Verifies that the warm node remains healthy after restoring all indices, * cluster is GREEN, and block_cache stats are accessible. @@ -359,7 +401,44 @@ private long getWarmNodeUsedBytes() { return 0L; } + /** + * Locates the Foyer block cache directory that holds {@code key_index.json}. + * + *

      In tiered mode (default — {@code block_cache.foyer.metadata_cache_ratio > 0}) + * the layout is {@code foyer-block-cache/data/} and {@code foyer-block-cache/metadata/}; + * each subdir has its own {@code key_index.json}. This helper returns the data + * subdir in that case. In single-cache mode the file lives directly under + * {@code foyer-block-cache/}, which is what gets returned then. + * + *

      Use {@link #findFoyerMetadataCacheDir()} for the metadata-tier subdir. + */ private Path findFoyerCacheDir() { + Path root = findFoyerCacheRoot(); + if (root == null) { + return null; + } + Path dataSubdir = root.resolve("data"); + if (Files.isDirectory(dataSubdir)) { + return dataSubdir; // tiered mode + } + return root; // single-cache mode + } + + /** + * Returns the metadata-tier subdir ({@code foyer-block-cache/metadata}) when + * the cache is in tiered mode, or {@code null} in single-cache mode. + */ + private Path findFoyerMetadataCacheDir() { + Path root = findFoyerCacheRoot(); + if (root == null) { + return null; + } + Path metaSubdir = root.resolve("metadata"); + return Files.isDirectory(metaSubdir) ? metaSubdir : null; + } + + /** Locates the {@code foyer-block-cache} parent directory on the warm node. */ + private Path findFoyerCacheRoot() { String warmName = getWarmNodeName(); assertNotNull("A warm node must be present in the cluster", warmName); Environment environment = internalCluster().getInstance(Environment.class, warmName); diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPlugin.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPlugin.java index 0321861ec3af0..0bf5117aed1d5 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPlugin.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPlugin.java @@ -102,7 +102,9 @@ public List> getSettings() { FoyerBlockCacheSettings.IO_ENGINE_SETTING, FoyerBlockCacheSettings.KEY_INDEX_SWEEP_INTERVAL_SETTING, FoyerBlockCacheSettings.KEY_INDEX_SWEEP_THRESHOLD_SETTING, - FoyerBlockCacheSettings.KEY_INDEX_PERSIST_INTERVAL_SETTING + FoyerBlockCacheSettings.KEY_INDEX_PERSIST_INTERVAL_SETTING, + FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING, + FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING ); } @@ -173,6 +175,9 @@ public Collection createComponents( final long sweepIntervalSecs = FoyerBlockCacheSettings.KEY_INDEX_SWEEP_INTERVAL_SETTING.get(settings); final double sweepThresholdRatio = FoyerBlockCacheSettings.KEY_INDEX_SWEEP_THRESHOLD_SETTING.get(settings); final long persistIntervalSecs = FoyerBlockCacheSettings.KEY_INDEX_PERSIST_INTERVAL_SETTING.get(settings); + final long metaBlockSizeBytes = FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get(settings).getBytes(); + final String metadataCacheRatioRaw = FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get(settings); + final double metadataCacheRatio = RatioValue.parseRatioValue(metadataCacheRatioRaw).getAsRatio(); // Use the exact capacity reserved by NodeCacheService during budget phase. final long diskCapacityBytes = reservedCapacityBytes; @@ -189,7 +194,6 @@ public Collection createComponents( } // block_size must be strictly less than the total disk capacity. - final long effectiveBlockSizeBytes; if (blockSizeBytes >= diskCapacityBytes) { throw new SettingsException( "block_cache.foyer.block_size (" @@ -198,22 +202,64 @@ public Collection createComponents( + diskCapacityBytes + " bytes). Reduce block_cache.foyer.block_size or increase node.search.cache.size." ); - } else { - effectiveBlockSizeBytes = blockSizeBytes; } try { - cache = new FoyerBlockCache( - diskCapacityBytes, - diskDir, - blockSizeBytes, - bufferPoolSizeBytes, - submitQueueSizeThresholdBytes, - ioEngine, - sweepIntervalSecs, - sweepThresholdRatio, - persistIntervalSecs - ); + if (metadataCacheRatio > 0.0) { + final long metaDiskBytes = Math.round(diskCapacityBytes * metadataCacheRatio); + final long dataDiskBytes = diskCapacityBytes - metaDiskBytes; + final String dataDiskDir = diskDir + "/data"; + final String metaDiskDir = diskDir + "/metadata"; + cache = new FoyerBlockCache( + dataDiskBytes, + dataDiskDir, + blockSizeBytes, + bufferPoolSizeBytes, + submitQueueSizeThresholdBytes, + metaDiskBytes, + metaDiskDir, + metaBlockSizeBytes, + bufferPoolSizeBytes, + submitQueueSizeThresholdBytes, + ioEngine, + sweepIntervalSecs, + sweepThresholdRatio, + persistIntervalSecs + ); + logger.info( + "BlockCacheFoyerPlugin created tiered FoyerBlockCache (dataDir={}, metaDir={}, " + + "dataDisk={}, metaDisk={}, dataBlockSize={}, metaBlockSize={}, ioEngine={})", + dataDiskDir, + metaDiskDir, + dataDiskBytes, + metaDiskBytes, + blockSizeBytes, + metaBlockSizeBytes, + ioEngine + ); + } else { + cache = new FoyerBlockCache( + diskCapacityBytes, + diskDir, + blockSizeBytes, + bufferPoolSizeBytes, + submitQueueSizeThresholdBytes, + ioEngine, + sweepIntervalSecs, + sweepThresholdRatio, + persistIntervalSecs + ); + logger.info( + "BlockCacheFoyerPlugin created FoyerBlockCache (diskDir={}, blockSize={}, ioEngine={}, " + + "sweepIntervalSecs={}, sweepThresholdRatio={}, persistIntervalSecs={})", + diskDir, + blockSizeBytes, + ioEngine, + sweepIntervalSecs == 0 ? "disabled" : sweepIntervalSecs + "s", + sweepThresholdRatio == 0.0 ? "always-sweep (no threshold)" : sweepThresholdRatio, + persistIntervalSecs == 0 ? "disabled" : persistIntervalSecs + "s" + ); + } } catch (final Throwable t) { throw new IllegalStateException("Failed to initialise Foyer block cache (diskDir=" + diskDir + ")", t); } @@ -232,16 +278,6 @@ public Collection createComponents( FoyerBlockCacheSettings.KEY_INDEX_PERSIST_INTERVAL_SETTING, newInterval -> finalCache.updatePersistInterval(newInterval) ); - logger.info( - "BlockCacheFoyerPlugin created FoyerBlockCache (diskDir={}, blockSize={}, ioEngine={}, " - + "sweepIntervalSecs={}, sweepThresholdRatio={}, persistIntervalSecs={})", - diskDir, - blockSizeBytes, - ioEngine, - sweepIntervalSecs == 0 ? "disabled" : sweepIntervalSecs + "s", - sweepThresholdRatio == 0.0 ? "always-sweep (no threshold)" : sweepThresholdRatio, - persistIntervalSecs == 0 ? "disabled" : persistIntervalSecs + "s" - ); return List.of(cache); } diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerAggregatedStats.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerAggregatedStats.java index 32e83bf285854..66507b8028e6d 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerAggregatedStats.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerAggregatedStats.java @@ -13,14 +13,21 @@ /** * Point-in-time stats snapshot for the Foyer block cache. * - *

      Combines two sections parsed from the native FFM stats buffer: - * section 0 (overall cross-tier rollup) and section 1 (disk-tier only). - * Each section is a {@link BlockCacheStats} record carrying the full - * counter set. + *

      Two construction modes: + *

        + *
      • Single-cache — built via {@link #snapshot(long[], long)}. The FFM + * buffer's section 0 (overall) and section 1 (block-level / disk-tier) are + * written by Rust as identical copies; we keep both for back-compat with + * existing tests.
        • + *
      • Tiered — built via {@link #snapshotTiered(long[], long, long)}. + * Section 0 is the data tier and section 1 is the metadata tier. Both + * sections are stored directly; {@link #overallStats()} returns the + * eagerly-computed merge of the two so callers see a single rolled-up view.
        • + *
      * - *

      Core only ever sees the {@link BlockCacheStats} from {@link #overallStats()}, - * via {@link FoyerBlockCache#stats()}. The per-tier breakdown is available to - * Foyer-aware code via {@link FoyerBlockCache#foyerStats()}. + *

      Core only ever sees {@link #overallStats()} via {@link FoyerBlockCache#stats()}. + * Foyer-aware code can reach for {@link #dataCacheStats()} / {@link #metadataCacheStats()} + * which return {@code null} in single-cache mode and the per-tier sections in tiered mode. * * @opensearch.internal */ @@ -52,26 +59,83 @@ private enum Field { */ static final int STATS_BUFFER_SIZE = Field.COUNT * 2; - /** Cross-tier rollup — section 0 of the FFM buffer. */ + /** Cross-tier rollup. In tiered mode = {@code merge(data, meta)}; in single mode = section 0. */ private final BlockCacheStats overallStats; - /** Disk-tier only — section 1 of the FFM buffer. */ + /** + * Disk-tier breakdown. In tiered mode == {@link #dataCacheStats}; in single mode = section 1 + * of the FFM buffer (which Rust mirrors from section 0 in single-cache mode). + * Kept as a separate accessor for back-compat with existing tests. + */ private final BlockCacheStats blockLevelStats; - private FoyerAggregatedStats(BlockCacheStats overallStats, BlockCacheStats blockLevelStats) { + /** Tiered mode only. {@code null} in single-cache mode. */ + private final BlockCacheStats dataCacheStats; + + /** Tiered mode only. {@code null} in single-cache mode. */ + private final BlockCacheStats metadataCacheStats; + + /** Data cache configured capacity. {@code 0} in single-cache mode. */ + private final long dataCapacityBytes; + + /** Metadata cache configured capacity. {@code 0} in single-cache mode. */ + private final long metadataCapacityBytes; + + private FoyerAggregatedStats( + BlockCacheStats overallStats, + BlockCacheStats blockLevelStats, + BlockCacheStats dataCacheStats, + BlockCacheStats metadataCacheStats, + long dataCapacityBytes, + long metadataCapacityBytes + ) { this.overallStats = overallStats; this.blockLevelStats = blockLevelStats; + this.dataCacheStats = dataCacheStats; + this.metadataCacheStats = metadataCacheStats; + this.dataCapacityBytes = dataCapacityBytes; + this.metadataCapacityBytes = metadataCapacityBytes; } /** - * Parses both sections from the FFM stats buffer returned by - * {@code FoyerBridge.snapshotStats(cachePtr)}. + * Parses both sections from the FFM stats buffer for a single-cache (non-tiered) Foyer. * * @param raw stats buffer; length must be {@code >= 2 * Field.COUNT} * @param capacityBytes configured disk capacity for this cache instance */ public static FoyerAggregatedStats snapshot(long[] raw, long capacityBytes) { - return new FoyerAggregatedStats(readSection(raw, 0, capacityBytes), readSection(raw, Field.COUNT, capacityBytes)); + BlockCacheStats overall = readSection(raw, 0, capacityBytes); + BlockCacheStats blockLevel = readSection(raw, Field.COUNT, capacityBytes); + // dataCacheStats / metadataCacheStats are null in single-cache mode — callers asking + // for per-tier breakdown are expected to check isTiered() first. + return new FoyerAggregatedStats(overall, blockLevel, null, null, 0L, 0L); + } + + /** + * Parses the FFM stats buffer for a tiered cache (data + metadata on separate SSDs). + * + *

      The Rust FFM writes: + *

        + *
      • Indices 0–9: data cache stats
        • + *
      • Indices 10–19: metadata cache stats
        • + *
      + * + *

      {@link #dataCacheStats()} and {@link #metadataCacheStats()} return their respective + * sections directly — no subtraction, no derivation — so per-tier counters reflect + * exactly what the native side emitted. {@link #overallStats()} is the eagerly-computed + * merge of both tiers for callers that want a single rolled-up view. + * + * @param raw stats buffer; length must be {@code >= 2 * Field.COUNT} + * @param dataCapacityBytes data cache disk capacity + * @param metaCapacityBytes metadata cache disk capacity + */ + public static FoyerAggregatedStats snapshotTiered(long[] raw, long dataCapacityBytes, long metaCapacityBytes) { + BlockCacheStats data = readSection(raw, 0, dataCapacityBytes); + BlockCacheStats meta = readSection(raw, Field.COUNT, metaCapacityBytes); + BlockCacheStats overall = merge(data, meta); + // blockLevelStats == data is intentional: the historical "block-level" view in tiered + // mode pointed at the data tier, and existing tests assert on that. Keep it stable. + return new FoyerAggregatedStats(overall, data, data, meta, dataCapacityBytes, metaCapacityBytes); } private static BlockCacheStats readSection(long[] raw, int offset, long capacityBytes) { @@ -99,8 +163,60 @@ public BlockCacheStats overallStats() { return overallStats; } - /** Disk-tier-only stats — SSD I/O and eviction pressure breakdown. */ + /** + * Disk-tier-only stats — SSD I/O and eviction pressure breakdown. + * In tiered mode this returns the data tier (back-compat with the historical contract). + * Use {@link #dataCacheStats()} / {@link #metadataCacheStats()} for explicit per-tier access. + */ public BlockCacheStats blockLevelStats() { return blockLevelStats; } + + /** + * Data cache stats. Returns the data-tier section directly in tiered mode, + * or {@code null} in single-cache mode. + */ + public BlockCacheStats dataCacheStats() { + return dataCacheStats; + } + + /** + * Metadata cache stats. Returns the metadata-tier section directly in tiered mode, + * or {@code null} in single-cache mode. + */ + public BlockCacheStats metadataCacheStats() { + return metadataCacheStats; + } + + /** Data cache configured capacity. {@code 0} in single-cache mode. */ + public long dataCapacityBytes() { + return dataCapacityBytes; + } + + /** Metadata cache configured capacity. {@code 0} in single-cache mode. */ + public long metadataCapacityBytes() { + return metadataCapacityBytes; + } + + /** Whether this snapshot represents a tiered cache (data + metadata). */ + public boolean isTiered() { + return metadataCacheStats != null; + } + + private static BlockCacheStats merge(BlockCacheStats data, BlockCacheStats meta) { + return new BlockCacheStats( + data.hits() + meta.hits(), + data.misses() + meta.misses(), + data.hitBytes() + meta.hitBytes(), + data.missBytes() + meta.missBytes(), + data.evictions() + meta.evictions(), + data.evictionBytes() + meta.evictionBytes(), + data.removed() + meta.removed(), + data.removedBytes() + meta.removedBytes(), + 0L, + data.diskBytesUsed() + meta.diskBytesUsed(), + data.totalBytes() + meta.totalBytes(), + data.activeInBytes() + meta.activeInBytes() + ); + } } diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCache.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCache.java index 1ccbc8307aed3..1b5ef38d2b809 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCache.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCache.java @@ -13,6 +13,7 @@ import org.opensearch.plugins.BlockCache; import org.opensearch.plugins.BlockCacheConstants; import org.opensearch.plugins.BlockCacheStats; +import org.opensearch.plugins.BlockCacheTieredStats; import org.opensearch.plugins.NativeStoreHandle; import java.util.Objects; @@ -33,6 +34,15 @@ public final class FoyerBlockCache implements BlockCache { /** The configured disk capacity in bytes */ private final long diskBytes; + /** Data cache capacity in tiered mode. 0 in single-cache mode. */ + private final long dataDiskBytes; + + /** Metadata cache capacity in tiered mode. 0 in single-cache mode. */ + private final long metadataDiskBytes; + + /** Whether this instance is a tiered cache (data + metadata on separate SSDs). */ + private final boolean tiered; + /** Guards against double-close per the {@link AutoCloseable} contract. */ private final AtomicBoolean closed = new AtomicBoolean(false); @@ -97,6 +107,9 @@ public FoyerBlockCache( throw new IllegalArgumentException("persistIntervalSecs must be >= 0, got: " + persistIntervalSecs); } this.diskBytes = diskBytes; + this.dataDiskBytes = 0L; + this.metadataDiskBytes = 0L; + this.tiered = false; this.cachePtr = FoyerBridge.createCache( diskBytes, diskDir, @@ -110,6 +123,71 @@ public FoyerBlockCache( ); } + /** + * Create a tiered Foyer cache with separate data and metadata SSDs. + * + * @param dataDiskBytes data cache disk capacity + * @param dataDiskDir directory for data cache + * @param dataBlockSizeBytes data cache block size + * @param dataBufferPoolSizeBytes data cache buffer pool + * @param dataSubmitQueueSizeBytes data cache submit queue threshold + * @param metaDiskBytes metadata cache disk capacity + * @param metaDiskDir directory for metadata cache + * @param metaBlockSizeBytes metadata cache block size + * @param metaBufferPoolSizeBytes metadata cache buffer pool + * @param metaSubmitQueueSizeBytes metadata cache submit queue threshold + * @param ioEngine I/O engine for both caches + * @param sweepIntervalSecs sweep interval; 0 = disabled + * @param sweepThresholdRatio sweep threshold; 0.0 = always + * @param persistIntervalSecs persist interval; 0 = disabled + */ + public FoyerBlockCache( + long dataDiskBytes, + String dataDiskDir, + long dataBlockSizeBytes, + long dataBufferPoolSizeBytes, + long dataSubmitQueueSizeBytes, + long metaDiskBytes, + String metaDiskDir, + long metaBlockSizeBytes, + long metaBufferPoolSizeBytes, + long metaSubmitQueueSizeBytes, + String ioEngine, + long sweepIntervalSecs, + double sweepThresholdRatio, + long persistIntervalSecs + ) { + if (dataDiskBytes <= 0) { + throw new IllegalArgumentException("dataDiskBytes must be > 0, got: " + dataDiskBytes); + } + if (metaDiskBytes <= 0) { + throw new IllegalArgumentException("metaDiskBytes must be > 0, got: " + metaDiskBytes); + } + Objects.requireNonNull(dataDiskDir, "dataDiskDir must not be null"); + Objects.requireNonNull(metaDiskDir, "metaDiskDir must not be null"); + Objects.requireNonNull(ioEngine, "ioEngine must not be null"); + this.diskBytes = dataDiskBytes + metaDiskBytes; + this.dataDiskBytes = dataDiskBytes; + this.metadataDiskBytes = metaDiskBytes; + this.tiered = true; + this.cachePtr = FoyerBridge.createTieredCache( + dataDiskBytes, + dataDiskDir, + dataBlockSizeBytes, + dataBufferPoolSizeBytes, + dataSubmitQueueSizeBytes, + metaDiskBytes, + metaDiskDir, + metaBlockSizeBytes, + metaBufferPoolSizeBytes, + metaSubmitQueueSizeBytes, + ioEngine, + sweepIntervalSecs, + sweepThresholdRatio, + persistIntervalSecs + ); + } + @Override public String cacheName() { return BlockCacheConstants.FOYER; @@ -117,13 +195,8 @@ public String cacheName() { /** * Snapshots cache statistics via FFM call to the native Foyer runtime. - * Returns the cross-tier rollup {@link BlockCacheStats} (section 0 of the - * native stats buffer) for core consumption. - * - *

      Delegates to {@link #foyerStats()} and returns the overall section - * directly — no projection step needed. Core code uses this method; - * Foyer-aware code that needs the disk-tier breakdown (section 1) should - * call {@link #foyerStats()} directly. + * Returns the cross-tier rollup {@link BlockCacheStats} for core consumption. + * In tiered mode, this is the merged (data + metadata) view. */ @Override public BlockCacheStats stats() { @@ -131,25 +204,61 @@ public BlockCacheStats stats() { } /** - * Snapshots the full two-section Foyer stats from the native runtime: - *

        - *
      • section 0 — cross-tier overall rollup
        • - *
      • section 1 — disk-tier (block-level) only
        • - *
      + * Snapshots the full Foyer stats from the native runtime. * - *

      Returns richer counters than {@link #stats()}: per-tier hit/miss/eviction - * byte counts, configured capacity, and the disk-tier breakdown. Intended for - * Foyer-internal logging, node-stats contributions, and any caller that - * explicitly narrows the {@link org.opensearch.plugins.BlockCache} reference - * to {@code FoyerBlockCache}. + *

      In single-cache mode: section 0 = overall, section 1 = block-level (identical). + * In tiered mode: section 0 = data cache, section 1 = metadata cache, + * {@code overallStats()} returns merged counters. * - * @return two-section snapshot; never {@code null} + * @return stats snapshot; never {@code null} */ public FoyerAggregatedStats foyerStats() { long[] raw = FoyerBridge.snapshotStats(cachePtr); + if (tiered) { + return FoyerAggregatedStats.snapshotTiered(raw, dataDiskBytes, metadataDiskBytes); + } return FoyerAggregatedStats.snapshot(raw, diskBytes); } + /** Whether this is a tiered cache (data + metadata on separate SSDs). */ + public boolean isTiered() { + return tiered; + } + + @Override + public BlockCacheTieredStats tieredStats() { + if (tiered == false) { + return null; + } + FoyerAggregatedStats s = foyerStats(); + BlockCacheStats data = s.dataCacheStats(); + BlockCacheStats meta = s.metadataCacheStats(); + return new BlockCacheTieredStats( + data.hits(), + data.misses(), + data.hitBytes(), + data.missBytes(), + data.evictions(), + data.evictionBytes(), + data.removed(), + data.removedBytes(), + data.diskBytesUsed(), + data.totalBytes(), + data.activeInBytes(), + meta.hits(), + meta.misses(), + meta.hitBytes(), + meta.missBytes(), + meta.evictions(), + meta.evictionBytes(), + meta.removed(), + meta.removedBytes(), + meta.diskBytesUsed(), + meta.totalBytes(), + meta.activeInBytes() + ); + } + /** * Returns a borrowed, non-owning {@link NativeStoreHandle} for this Foyer cache. * diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java index 3c556a8e115c2..131786ff6960a 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java @@ -218,5 +218,57 @@ public final class FoyerBlockCacheSettings { Setting.Property.Dynamic ); + /** + * Fraction of the total Foyer disk budget allocated to the metadata cache. + * + *

      The remaining {@code (1 - ratio)} goes to the data cache. Applied against the + * total Foyer disk bytes computed from {@code block_cache.foyer.size}. + * + *

      Example: 400 GB Foyer budget, {@code metadata_cache_ratio=5%} → + * metadata cache gets 20 GB, data cache gets 380 GB. + * + *

      Default: {@code 5%}. Set to {@code 0%} to disable tiered caching (single + * data-only cache). Accepts a percentage (e.g. {@code 5%}) or a ratio (e.g. {@code 0.05}). + * + *

      Range: [0%, 50%). Values ≥ 50% are rejected — metadata should never consume + * more than half the SSD budget. + */ + public static final Setting METADATA_CACHE_RATIO_SETTING = new Setting<>( + "block_cache.foyer.metadata_cache_ratio", + "5%", + value -> { + try { + RatioValue ratio = RatioValue.parseRatioValue(value); + if (ratio.getAsRatio() < 0 || ratio.getAsRatio() >= 0.5) { + throw new IllegalArgumentException("[block_cache.foyer.metadata_cache_ratio] must be in [0%, 50%); got: " + value); + } + return value; + } catch (Exception e) { + throw new IllegalArgumentException( + "[block_cache.foyer.metadata_cache_ratio] must be a percentage (e.g. 5%) or ratio (e.g. 0.05); got: " + value, + e + ); + } + }, + Setting.Property.NodeScope + ); + + /** + * Block size for the metadata cache's Foyer disk tier. + * + *

      Metadata entries (page indexes, offset indexes) are typically small (KB–MB range). + * A smaller block size than the data cache avoids wasting SSD space on internal + * fragmentation for these small entries. + * + *

      Default: 8 MB. Range: [1 MB, 128 MB]. + */ + public static final Setting METADATA_BLOCK_SIZE_SETTING = Setting.byteSizeSetting( + "block_cache.foyer.metadata_block_size", + new ByteSizeValue(8, ByteSizeUnit.MB), + new ByteSizeValue(1, ByteSizeUnit.MB), + new ByteSizeValue(128, ByteSizeUnit.MB), + Setting.Property.NodeScope + ); + private FoyerBlockCacheSettings() {} } diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBridge.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBridge.java index a361084cd6f91..b93148027fd8f 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBridge.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBridge.java @@ -38,6 +38,7 @@ public final class FoyerBridge { private static final Logger logger = LogManager.getLogger(FoyerBridge.class); private static final MethodHandle FOYER_CREATE_CACHE; + private static final MethodHandle FOYER_CREATE_TIERED_CACHE; private static final MethodHandle FOYER_DESTROY_CACHE; private static final MethodHandle FOYER_SNAPSHOT_STATS; private static final MethodHandle FOYER_EVICT_PREFIX; @@ -68,6 +69,34 @@ public final class FoyerBridge { ) ); + // foyer_create_tiered_cache(data_disk, data_dir_ptr, data_dir_len, data_block_size, + // data_buffer_pool, data_submit_queue, meta_disk, meta_dir_ptr, meta_dir_len, + // meta_block_size, meta_buffer_pool, meta_submit_queue, io_engine_ptr, io_engine_len, + // sweep_interval, sweep_threshold, persist_interval) -> i64 + FOYER_CREATE_TIERED_CACHE = linker.downcallHandle( + lib.find("foyer_create_tiered_cache").orElseThrow(), + FunctionDescriptor.of( + ValueLayout.JAVA_LONG, // return: opaque i64 fat pointer + ValueLayout.JAVA_LONG, // data_disk_bytes + ValueLayout.ADDRESS, // data_dir_ptr + ValueLayout.JAVA_LONG, // data_dir_len + ValueLayout.JAVA_LONG, // data_block_size_bytes + ValueLayout.JAVA_LONG, // data_buffer_pool_size_bytes + ValueLayout.JAVA_LONG, // data_submit_queue_size_threshold_bytes + ValueLayout.JAVA_LONG, // meta_disk_bytes + ValueLayout.ADDRESS, // meta_dir_ptr + ValueLayout.JAVA_LONG, // meta_dir_len + ValueLayout.JAVA_LONG, // meta_block_size_bytes + ValueLayout.JAVA_LONG, // meta_buffer_pool_size_bytes + ValueLayout.JAVA_LONG, // meta_submit_queue_size_threshold_bytes + ValueLayout.ADDRESS, // io_engine_ptr + ValueLayout.JAVA_LONG, // io_engine_len + ValueLayout.JAVA_LONG, // sweep_interval_secs + ValueLayout.JAVA_DOUBLE, // sweep_threshold_ratio + ValueLayout.JAVA_LONG // persist_interval_secs + ) + ); + // i64 foyer_destroy_cache(i64 ptr) — 0=success, <0=error pointer FOYER_DESTROY_CACHE = linker.downcallHandle( lib.find("foyer_destroy_cache").orElseThrow(), @@ -138,8 +167,8 @@ public final class FoyerBridge { ); logger.info( - "FFM downcall handles resolved: foyer_create_cache, foyer_destroy_cache, foyer_snapshot_stats, " - + "foyer_evict_prefix, foyer_clear_cache, foyer_update_sweep_threshold, " + "FFM downcall handles resolved: foyer_create_cache, foyer_create_tiered_cache, foyer_destroy_cache, " + + "foyer_snapshot_stats, foyer_evict_prefix, foyer_clear_cache, foyer_update_sweep_threshold, " + "foyer_update_sweep_interval, foyer_update_persist_interval" ); } @@ -211,6 +240,86 @@ public static long createCache( } } + /** + * Create a tiered Foyer block cache with separate data and metadata SSDs. + * + *

      Returns a {@code Box>} fat pointer that can be passed + * directly as {@code cache_box_ptr} to {@code ts_create_tiered_object_store}. + * + * @param dataDiskBytes data cache disk capacity in bytes + * @param dataDiskDir directory for data cache files + * @param dataBlockSizeBytes data cache block size in bytes + * @param dataBufferPoolSizeBytes data cache buffer pool size in bytes + * @param dataSubmitQueueSizeBytes data cache submit queue threshold in bytes + * @param metaDiskBytes metadata cache disk capacity in bytes + * @param metaDiskDir directory for metadata cache files + * @param metaBlockSizeBytes metadata cache block size in bytes + * @param metaBufferPoolSizeBytes metadata cache buffer pool size in bytes + * @param metaSubmitQueueSizeBytes metadata cache submit queue threshold in bytes + * @param ioEngine I/O engine for both caches + * @param sweepIntervalSecs sweep interval for both caches; 0 = disabled + * @param sweepThresholdRatio sweep threshold for both caches; 0.0 = always + * @param persistIntervalSecs persist interval for both caches; 0 = disabled + * @return opaque handle; always positive on success + */ + public static long createTieredCache( + long dataDiskBytes, + String dataDiskDir, + long dataBlockSizeBytes, + long dataBufferPoolSizeBytes, + long dataSubmitQueueSizeBytes, + long metaDiskBytes, + String metaDiskDir, + long metaBlockSizeBytes, + long metaBufferPoolSizeBytes, + long metaSubmitQueueSizeBytes, + String ioEngine, + long sweepIntervalSecs, + double sweepThresholdRatio, + long persistIntervalSecs + ) { + try (var call = new NativeCall()) { + var dataDir = call.str(dataDiskDir); + var metaDir = call.str(metaDiskDir); + var engine = call.str(ioEngine); + long ptr = call.invoke( + FOYER_CREATE_TIERED_CACHE, + dataDiskBytes, + dataDir.segment(), + dataDir.len(), + dataBlockSizeBytes, + dataBufferPoolSizeBytes, + dataSubmitQueueSizeBytes, + metaDiskBytes, + metaDir.segment(), + metaDir.len(), + metaBlockSizeBytes, + metaBufferPoolSizeBytes, + metaSubmitQueueSizeBytes, + engine.segment(), + engine.len(), + sweepIntervalSecs, + sweepThresholdRatio, + persistIntervalSecs + ); + if (ptr <= 0) { + throw new IllegalStateException("foyer_create_tiered_cache returned an invalid handle"); + } + logger.info( + "Foyer tiered block cache created: dataDisk={}, metaDisk={}, dataBlockSize={}, metaBlockSize={}, " + + "ioEngine={}, dataDir={}, metaDir={}", + dataDiskBytes, + metaDiskBytes, + dataBlockSizeBytes, + metaBlockSizeBytes, + ioEngine, + dataDiskDir, + metaDiskDir + ); + return ptr; + } + } + /** * Destroy a cache previously created by {@link #createCache}. * diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs index 6b0fae0a9fabe..bc92fce244e32 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs @@ -11,6 +11,7 @@ use std::sync::Arc; use native_bridge_common::ffm_safe; use crate::foyer::foyer_cache::FoyerCache; +use crate::tiered_block_cache::TieredBlockCache; /// Create a [`FoyerCache`] and return an opaque `Box>` fat pointer as `i64`. /// @@ -70,6 +71,7 @@ pub unsafe extern "C" fn foyer_create_cache( sweep_interval_secs, sweep_threshold_ratio, persist_interval_secs, + false, // reinsertion_admit_all: default RejectAll for standard data cache )); Ok(Box::into_raw(Box::new(cache)) as i64) } @@ -126,18 +128,24 @@ pub unsafe extern "C" fn foyer_snapshot_stats(ptr: i64, out: *mut i64) -> i64 { } // Borrow the Box> without consuming it. let boxed = &*(ptr as *const Arc); - // Downcast to FoyerCache to access Foyer-specific stats. - let foyer = match boxed.as_any().downcast_ref::() { - Some(f) => f, - None => return -1, - }; - let single = foyer.stats.snapshot(); - // Foyer is currently single-tier (disk only): overall and block_level are identical. - // 10 fields × 2 sections = 20 longs total. let mut flat = [0i64; 20]; - flat[..10].copy_from_slice(&single); - flat[10..].copy_from_slice(&single); + + if let Some(foyer) = boxed.as_any().downcast_ref::() { + // Single-tier: overall and block_level are identical. + let single = foyer.stats.snapshot(); + flat[..10].copy_from_slice(&single); + flat[10..].copy_from_slice(&single); + } else if let Some(tiered) = boxed.as_any().downcast_ref::() { + // Tiered: indices 0-9 = data cache stats, indices 10-19 = metadata cache stats. + let data_stats = tiered.data_cache().stats.snapshot(); + let meta_stats = tiered.metadata_cache().stats.snapshot(); + flat[..10].copy_from_slice(&data_stats); + flat[10..].copy_from_slice(&meta_stats); + } else { + return -1; + } + for (i, &v) in flat.iter().enumerate() { *out.add(i) = v; } @@ -161,11 +169,13 @@ pub unsafe extern "C" fn foyer_clear_cache(ptr: i64) -> i64 { return Err(format!("foyer_clear_cache: invalid ptr {}", ptr)); } let boxed = &*(ptr as *const Arc); - let foyer = match boxed.as_any().downcast_ref::() { - Some(f) => f, - None => return Err("foyer_clear_cache: downcast to FoyerCache failed".to_string()), - }; - foyer.clear_sync(); + if let Some(foyer) = boxed.as_any().downcast_ref::() { + foyer.clear_sync(); + } else if let Some(tiered) = boxed.as_any().downcast_ref::() { + tiered.clear_sync(); + } else { + return Err("foyer_clear_cache: downcast to FoyerCache or TieredBlockCache failed".to_string()); + } native_bridge_common::log_info!("ffm: foyer_clear_cache completed"); Ok(0) } @@ -192,11 +202,14 @@ pub unsafe extern "C" fn foyer_update_sweep_threshold(ptr: i64, new_ratio: f64) return Err(format!("foyer_update_sweep_threshold: invalid ptr {}", ptr)); } let boxed = &*(ptr as *const Arc); - let foyer = match boxed.as_any().downcast_ref::() { - Some(f) => f, - None => return Err("foyer_update_sweep_threshold: downcast to FoyerCache failed".to_string()), - }; - foyer.update_sweep_threshold(new_ratio); + if let Some(foyer) = boxed.as_any().downcast_ref::() { + foyer.update_sweep_threshold(new_ratio); + } else if let Some(tiered) = boxed.as_any().downcast_ref::() { + tiered.data_cache().update_sweep_threshold(new_ratio); + tiered.metadata_cache().update_sweep_threshold(new_ratio); + } else { + return Err("foyer_update_sweep_threshold: downcast failed".to_string()); + } Ok(0) } @@ -208,11 +221,14 @@ pub unsafe extern "C" fn foyer_update_sweep_interval(ptr: i64, new_secs: u64) -> return Err(format!("foyer_update_sweep_interval: invalid ptr {}", ptr)); } let boxed = &*(ptr as *const Arc); - let foyer = match boxed.as_any().downcast_ref::() { - Some(f) => f, - None => return Err("foyer_update_sweep_interval: downcast failed".to_string()), - }; - foyer.update_sweep_interval(new_secs); + if let Some(foyer) = boxed.as_any().downcast_ref::() { + foyer.update_sweep_interval(new_secs); + } else if let Some(tiered) = boxed.as_any().downcast_ref::() { + tiered.data_cache().update_sweep_interval(new_secs); + tiered.metadata_cache().update_sweep_interval(new_secs); + } else { + return Err("foyer_update_sweep_interval: downcast failed".to_string()); + } Ok(0) } @@ -224,11 +240,14 @@ pub unsafe extern "C" fn foyer_update_persist_interval(ptr: i64, new_secs: u64) return Err(format!("foyer_update_persist_interval: invalid ptr {}", ptr)); } let boxed = &*(ptr as *const Arc); - let foyer = match boxed.as_any().downcast_ref::() { - Some(f) => f, - None => return Err("foyer_update_persist_interval: downcast failed".to_string()), - }; - foyer.update_persist_interval(new_secs); + if let Some(foyer) = boxed.as_any().downcast_ref::() { + foyer.update_persist_interval(new_secs); + } else if let Some(tiered) = boxed.as_any().downcast_ref::() { + tiered.data_cache().update_persist_interval(new_secs); + tiered.metadata_cache().update_persist_interval(new_secs); + } else { + return Err("foyer_update_persist_interval: downcast failed".to_string()); + } Ok(0) } @@ -257,3 +276,103 @@ pub extern "C" fn foyer_evict_prefix(ptr: i64, prefix_ptr: *const u8, prefix_len native_bridge_common::log_debug!("ffm: foyer_evict_prefix prefix='{}'", prefix); Ok(0) } + +/// Create a [`TieredBlockCache`] with separate data and metadata caches. +/// +/// Returns an opaque `Box>` fat pointer as `i64`. +/// The data cache uses default reinsertion (RejectAll) and the metadata cache +/// uses AdmitAll reinsertion so that metadata entries are never evicted. +/// +/// # Parameters +/// - `data_*` — parameters for the data cache (large SSD, normal eviction). +/// - `meta_*` — parameters for the metadata cache (small SSD, never-evict). +/// - Shared parameters (`io_engine_*`, `sweep_*`, `persist_*`) apply to both caches. +/// +/// # Safety +/// All `*_ptr` parameters must point to `*_len` consecutive valid UTF-8 bytes. +#[ffm_safe] +#[no_mangle] +pub unsafe extern "C" fn foyer_create_tiered_cache( + // Data cache params + data_disk_bytes: u64, + data_dir_ptr: *const u8, + data_dir_len: u64, + data_block_size_bytes: u64, + data_buffer_pool_size_bytes: u64, + data_submit_queue_size_threshold_bytes: u64, + // Metadata cache params + meta_disk_bytes: u64, + meta_dir_ptr: *const u8, + meta_dir_len: u64, + meta_block_size_bytes: u64, + meta_buffer_pool_size_bytes: u64, + meta_submit_queue_size_threshold_bytes: u64, + // Shared params + io_engine_ptr: *const u8, + io_engine_len: u64, + sweep_interval_secs: u64, + sweep_threshold_ratio: f64, + persist_interval_secs: u64, +) -> i64 { + // Parse data dir + if data_dir_ptr.is_null() { + return Err("data_dir_ptr is null".to_string()); + } + let data_dir = std::str::from_utf8(std::slice::from_raw_parts(data_dir_ptr, data_dir_len as usize)) + .map_err(|e| format!("invalid UTF-8 in data_dir path: {}", e))?; + + // Parse metadata dir + if meta_dir_ptr.is_null() { + return Err("meta_dir_ptr is null".to_string()); + } + let meta_dir = std::str::from_utf8(std::slice::from_raw_parts(meta_dir_ptr, meta_dir_len as usize)) + .map_err(|e| format!("invalid UTF-8 in meta_dir path: {}", e))?; + + // Parse io_engine + let io_engine = if io_engine_ptr.is_null() { + "auto" + } else { + std::str::from_utf8(std::slice::from_raw_parts(io_engine_ptr, io_engine_len as usize)) + .unwrap_or("auto") + }; + + // Build data cache (default reinsertion = RejectAll) + let data_cache = Arc::new(FoyerCache::new( + data_disk_bytes as usize, + data_dir, + data_block_size_bytes as usize, + data_buffer_pool_size_bytes as usize, + data_submit_queue_size_threshold_bytes as usize, + io_engine, + sweep_interval_secs, + sweep_threshold_ratio, + persist_interval_secs, + false, // reinsertion_admit_all = false (RejectAll) + )); + + // Build metadata cache (same LRU as data cache — separate SSD prevents + // data pressure from evicting metadata) + let metadata_cache = Arc::new(FoyerCache::new( + meta_disk_bytes as usize, + meta_dir, + meta_block_size_bytes as usize, + meta_buffer_pool_size_bytes as usize, + meta_submit_queue_size_threshold_bytes as usize, + io_engine, + sweep_interval_secs, + sweep_threshold_ratio, + persist_interval_secs, + false, // reinsertion_admit_all = false (normal LRU, same as data) + )); + + native_bridge_common::log_info!( + "[tiered-block-cache] ffm: created tiered cache: data_dir={}, meta_dir={}, \ + data_disk={}B, meta_disk={}B", + data_dir, meta_dir, data_disk_bytes, meta_disk_bytes + ); + + let cache: Arc = Arc::new( + TieredBlockCache::new(data_cache, metadata_cache) + ); + Ok(Box::into_raw(Box::new(cache)) as i64) +} diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs index c9f9f60f25f7c..e2d01550c0465 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs @@ -15,8 +15,9 @@ use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering}; use std::time::{Duration, Instant}; use bytes::Bytes; use dashmap::DashMap; -use foyer::{BlockEngineConfig, DeviceBuilder, FsDeviceBuilder, - HybridCache, HybridCacheBuilder, IoEngineConfig, PsyncIoEngineConfig, RecoverMode}; +use foyer::{AdmitAll, BlockEngineConfig, DeviceBuilder, FsDeviceBuilder, + HybridCache, HybridCacheBuilder, IoEngineConfig, PsyncIoEngineConfig, RecoverMode, + StorageFilter}; use tokio_util::sync::CancellationToken; #[cfg(target_os = "linux")] use foyer::UringIoEngineConfig; @@ -226,12 +227,31 @@ pub struct FoyerCache { impl Drop for FoyerCache { fn drop(&mut self) { + // Flush partial blocks to SSD before shutdown with a timeout. + // Without close(), entries smaller than block_size are lost on restart. + // Timeout prevents indefinite blocking if the flusher is stuck. + let close_result = self._runtime.block_on(async { + tokio::time::timeout( + std::time::Duration::from_secs(30), + self.inner.close() + ).await + }); + match close_result { + Ok(Ok(())) => {} + Ok(Err(e)) => { + native_bridge_common::log_info!( + "[block-cache] HybridCache close FAILED on shutdown: {}", e + ); + } + Err(_) => { + native_bridge_common::log_info!( + "[block-cache] HybridCache close TIMED OUT (30s) on shutdown — partial blocks may be lost" + ); + } + } + // Unconditional final persist — graceful shutdown path. // Writes the complete current key_index as the authoritative final snapshot. - // This supersedes any earlier periodic persist and ensures the most - // up-to-date state is available on the next restart. - // On crash (OOM, SIGKILL) Drop is not called; the cache restarts from the - // last periodic snapshot, or with an empty key_index if no snapshot exists. if let Err(e) = key_index_store::save(&self.cache_dir, &self.key_index) { native_bridge_common::log_info!( "[block-cache] key_index final persist FAILED on shutdown: {}", @@ -284,6 +304,7 @@ impl FoyerCache { sweep_interval_secs: u64, sweep_threshold_ratio: f64, persist_interval_secs: u64, + reinsertion_admit_all: bool, ) -> Self { let disk_dir: PathBuf = disk_dir.into(); @@ -298,6 +319,22 @@ impl FoyerCache { let io_engine = io_engine.to_string(); let io_engine_for_log = io_engine.clone(); // clone for use in log after the closure let inner = rt.block_on(async move { + let mut engine_config = BlockEngineConfig::new( + FsDeviceBuilder::new(dir_clone) + .with_capacity(disk_bytes) + .build() + .expect("[block-cache] FsDevice build failed") + ) + .with_block_size(block_size_bytes) + .with_buffer_pool_size(buffer_pool_size_bytes) + .with_submit_queue_size_threshold(submit_queue_size_threshold_bytes); + + if reinsertion_admit_all { + engine_config = engine_config.with_reinsertion_filter( + StorageFilter::new().with_condition(AdmitAll) + ); + } + HybridCacheBuilder::>::new() .with_name("block-cache") .memory(1) @@ -313,27 +350,18 @@ impl FoyerCache { // On a fresh directory (clean startup) Quiet behaves identically to None. .with_recover_mode(RecoverMode::Quiet) .with_io_engine_config(build_io_engine_config(&io_engine)) - .with_engine_config( - BlockEngineConfig::new( - FsDeviceBuilder::new(dir_clone) - .with_capacity(disk_bytes) - .build() - .expect("[block-cache] FsDevice build failed") - ) - .with_block_size(block_size_bytes) - .with_buffer_pool_size(buffer_pool_size_bytes) - .with_submit_queue_size_threshold(submit_queue_size_threshold_bytes) - ) + .with_engine_config(engine_config) .build() .await .expect("[block-cache] HybridCache build failed") }); native_bridge_common::log_info!( "[block-cache] ready: disk={}B, block_size={}B, io_engine={}, sweep_threshold={:.0}%, \ - persist_interval={}s, dir={}", + persist_interval={}s, reinsertion={}, dir={}", disk_bytes, block_size_bytes, io_engine_for_log, sweep_threshold_ratio * 100.0, if persist_interval_secs == 0 { "disabled".to_string() } else { persist_interval_secs.to_string() }, + if reinsertion_admit_all { "AdmitAll" } else { "RejectAll" }, disk_dir.display() ); // CancellationToken is Clone and Send — cheap to share with background tasks. @@ -687,6 +715,12 @@ impl FoyerCache { self._runtime.block_on(self.clear()); } + /// Wait for the storage flusher to drain its write queue. + /// After this returns, all previously put() entries are on SSD and findable via get(). + pub async fn wait_for_flush(&self) { + self.inner.storage().wait().await; + } + /// Derive the normalized index key from a cache key. /// /// Extracts everything before the first [`SEPARATOR`] (the path prefix), diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs index 751d8c0d06d4a..006b05753950e 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs @@ -11,6 +11,7 @@ pub mod stats; pub mod traits; pub mod key_index_store; pub mod foyer; +pub mod tiered_block_cache; #[cfg(test)] mod tests; diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs index 435659c2533ce..4c7bd76aa6d78 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs @@ -47,7 +47,7 @@ fn test_cache() -> (FoyerCache, TempDir) { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, - IO_ENGINE, 0, 0.0, 0, + IO_ENGINE, 0, 0.0, 0, false, ); (cache, dir) } @@ -503,7 +503,7 @@ fn put_and_get_work_after_cache_nears_capacity() { let dir = TempDir::new().unwrap(); // disk=2MB ≥ block_size=512KB (Foyer invariant: block_size ≤ disk). // Writes 4 × 512KB = 2MB total into a 2MB cache to exercise near-capacity behaviour. - let cache = FoyerCache::new(2 * 1024 * 1024, dir.path(), 512 * 1024, 512 * 1024, 1024 * 1024, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(2 * 1024 * 1024, dir.path(), 512 * 1024, 512 * 1024, 1024 * 1024, IO_ENGINE, 0, 0.0, 0, false); let chunk = vec![0u8; 512 * 1024]; for i in 0u64..4 { let key = range_cache_key("/data/file.parquet", i * 524288, (i + 1) * 524288); @@ -527,7 +527,7 @@ fn lru_eviction_retains_keys_in_key_index() { // disk=1MB, block_size=256KB (256KB ≤ 1MB — Foyer invariant satisfied). // Writes 8 × 256KB = 2MB total into a 1MB cache to trigger LRU eviction pressure. let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(1 * 1024 * 1024, dir.path(), 256 * 1024, 256 * 1024, 512 * 1024, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(1 * 1024 * 1024, dir.path(), 256 * 1024, 256 * 1024, 512 * 1024, IO_ENGINE, 0, 0.0, 0, false); const CHUNK_SIZE: usize = 256 * 1024; const TOTAL_WRITES: usize = 8; let chunk = vec![0xABu8; CHUNK_SIZE]; @@ -1178,6 +1178,7 @@ fn drop_with_active_sweep_task_does_not_panic() { 3600, // 1-hour interval — task sleeps, drop cancels it immediately 0.0, // threshold disabled 0, // persist disabled + false, ); drop(cache); // shutdown.cancel() wakes the select! branch → task exits } @@ -1199,6 +1200,7 @@ fn drop_cancels_the_token() { 0, // no sweep task 0.0, // threshold disabled 0, // no persist task + false, ); // Clone the token before drop so we can inspect it after. let token: CancellationToken = cache.shutdown.clone(); @@ -1214,7 +1216,7 @@ fn drop_cancels_the_token() { fn cache_functional_before_drop() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 0, 0.0, 0, false); let key = range_cache_key("/data/file.parquet", 0, 100); cache.put(&key, Bytes::from_static(b"hello")); let result = block_on(cache.get(&key)); @@ -1249,7 +1251,7 @@ fn sweep_disabled_when_interval_is_zero() { #[test] fn sweep_enabled_cache_is_usable_while_task_sleeping() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 3600, 0.0, 0); + let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 3600, 0.0, 0, false); let key = range_cache_key("/data/file.parquet", 0, 512); cache.put(&key, Bytes::from(vec![0xABu8; 512])); let result = block_on(cache.get(&key)); @@ -1310,6 +1312,7 @@ fn sweep_task_with_active_watchdog_stops_cleanly_on_cancel() { 1, // 1-second interval 0.0, // threshold disabled — sweep runs every tick 0, // persist disabled + false, ); // Put something so the sweep has a non-trivial key_index to process. put_range(&cache, "/data/watchdog_test.parquet", 0, 512, &vec![0u8; 512]); @@ -1332,6 +1335,7 @@ fn persist_task_with_active_watchdog_stops_cleanly_on_cancel() { 0, // sweep disabled 0.0, 1, // 1-second persist interval + false, ); put_range(&cache, "/data/persist_watchdog.parquet", 0, 256, &vec![0u8; 256]); // Poll for key_index.json — the persist task must write it within 5s. @@ -1362,7 +1366,7 @@ fn persist_task_last_persisted_reset_forces_persist_after_recovery() { { let cache1 = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); put_range(&cache1, "/data/reset_test.parquet", 0, 100, &vec![0u8; 100]); // Drop writes key_index.json with used_bytes=100. @@ -1377,7 +1381,7 @@ fn persist_task_last_persisted_reset_forces_persist_after_recovery() { { let cache2 = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, + 0, 0.0, 1, false, ); // Record mtime written by Drop of session 1. let mtime_before = std::fs::metadata( @@ -1816,7 +1820,7 @@ fn active_bytes_guard_drop_on_cancellation_restores_counter() { fn sweep_threshold_disabled_never_skips() { let dir = TempDir::new().unwrap(); // threshold = 0.0: disabled — always sweep - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); // used_bytes = 0 (empty cache) assert_eq!(cache.should_skip_sweep(), false, @@ -1833,7 +1837,7 @@ fn sweep_threshold_disabled_never_skips() { fn sweep_threshold_skips_when_usage_below_threshold() { let dir = TempDir::new().unwrap(); // disk = 4MB, threshold = 0.75 (75%) - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0, false); // usage = 0% → below 75% → skip cache.stats.used_bytes.store(0, std::sync::atomic::Ordering::Relaxed); @@ -1858,7 +1862,7 @@ fn sweep_threshold_skips_when_usage_below_threshold() { fn sweep_threshold_runs_when_usage_at_or_above_threshold() { let dir = TempDir::new().unwrap(); // disk = 4MB, threshold = 0.75 (75%) - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0, false); // usage = exactly 75% → NOT below → do NOT skip let exact = ((TEST_CACHE_DISK_BYTES as f64 * 0.75) as i64); @@ -1883,7 +1887,7 @@ fn sweep_threshold_runs_when_usage_at_or_above_threshold() { #[test] fn sweep_threshold_one_skips_unless_completely_full() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 1.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 1.0, 0, false); // usage = 99.9% → still below 100% → skip let almost_full = ((TEST_CACHE_DISK_BYTES as f64 * 0.999) as i64); @@ -1902,7 +1906,7 @@ fn sweep_threshold_one_skips_unless_completely_full() { #[test] fn sweep_threshold_negative_used_bytes_treated_as_zero() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.5, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.5, 0, false); // Simulate a transient underflow (negative used_bytes) — should be clamped to 0. cache.stats.used_bytes.store(-100, std::sync::atomic::Ordering::Relaxed); @@ -1917,7 +1921,7 @@ fn sweep_threshold_negative_used_bytes_treated_as_zero() { fn sweep_once_ignores_threshold_guard() { let dir = TempDir::new().unwrap(); // Set a high threshold so should_skip_sweep() returns true - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.99, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.99, 0, false); // Inject a stale key cache.key_index @@ -1953,7 +1957,7 @@ fn recovery_key_index_bulk_loaded_after_graceful_shutdown() { // Write entries into the first cache instance. { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); put_range(&cache, "/data/a.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/a.parquet", 512, 1024, &vec![0u8; 512]); put_range(&cache, "/data/b.parquet", 0, 256, &vec![0u8; 256]); @@ -1965,7 +1969,7 @@ fn recovery_key_index_bulk_loaded_after_graceful_shutdown() { "key_index.json must be written on Drop"); // Second instance: recover from the snapshot. - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); // Both prefix buckets must be present immediately after new(). assert!(cache2.key_index.contains_key("data/a.parquet"), @@ -1988,7 +1992,7 @@ fn recovery_used_bytes_initialized_from_snapshot() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); // 3 ranges: 100 + 200 + 300 = 600 bytes total. put_range(&cache, "/data/f.parquet", 0, 100, &vec![0u8; 100]); put_range(&cache, "/data/f.parquet", 100, 300, &vec![0u8; 200]); @@ -1996,7 +2000,7 @@ fn recovery_used_bytes_initialized_from_snapshot() { // Drop persists. } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); let used = cache2.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); assert_eq!(used, 600, "used_bytes must be 600 (sum of all recovered key ranges) after recovery"); @@ -2009,13 +2013,13 @@ fn recovery_evict_prefix_works_on_recovered_keys() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); put_range(&cache, "/data/shard1/file.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/shard2/file.parquet", 0, 512, &vec![0u8; 512]); // Drop persists. } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert!(cache2.key_index.contains_key("data/shard1/file.parquet")); assert!(cache2.key_index.contains_key("data/shard2/file.parquet")); @@ -2035,7 +2039,7 @@ fn recovery_with_no_snapshot_is_clean_startup() { // No prior cache instance — key_index.json does not exist. assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists()); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert!(cache.key_index.is_empty(), "key_index must be empty on clean startup"); assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); @@ -2052,7 +2056,7 @@ fn recovery_with_corrupt_snapshot_starts_empty() { std::fs::write(dir.path().join(key_index_store::KEY_INDEX_FILENAME), b"{{corrupt}}") .unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert!(cache.key_index.is_empty(), "corrupt snapshot must produce empty key_index"); assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); @@ -2068,7 +2072,7 @@ fn recovery_evicted_prefix_not_persisted() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); put_range(&cache, "/data/evicted.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/kept.parquet", 0, 512, &vec![0u8; 512]); @@ -2078,7 +2082,7 @@ fn recovery_evicted_prefix_not_persisted() { // Drop persists the remaining key_index (only kept.parquet). } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert!(!cache2.key_index.contains_key("data/evicted.parquet"), "evicted prefix must not appear in recovered key_index"); assert!(cache2.key_index.contains_key("data/kept.parquet"), @@ -2092,7 +2096,7 @@ fn recovery_clear_deletes_snapshot_file() { // Create and drop a cache to write key_index.json. { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); put_range(&cache, "/data/file.parquet", 0, 100, b"data"); // Drop writes key_index.json. } @@ -2101,13 +2105,13 @@ fn recovery_clear_deletes_snapshot_file() { // Create a second cache and call clear(). { - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); block_on(cache2.clear()); // Drop of cache2 writes an empty key_index.json (empty key_index after clear). } // Third instance: must start with an empty key_index (clear deleted the stale snapshot). - let cache3 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache3 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert!(cache3.key_index.is_empty(), "key_index must be empty after clear() deleted the snapshot"); } @@ -2131,6 +2135,7 @@ fn persist_task_writes_snapshot_within_interval() { 0, // sweep disabled 0.0, // threshold disabled 1, // persist every 1 second + false, ); put_range(&cache, "/data/periodic.parquet", 0, 512, &vec![0u8; 512]); @@ -2170,7 +2175,7 @@ fn persist_task_does_not_fire_when_cache_idle() { // persist_interval=1s let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, + 0, 0.0, 1, false, ); // Single put to trigger the first persist. put_range(&cache, "/data/idle.parquet", 0, 100, &vec![0u8; 100]); @@ -2206,7 +2211,7 @@ fn persist_task_fires_after_evict_prefix_changes_used_bytes() { { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, + 0, 0.0, 1, false, ); put_range(&cache, "/data/evict_me.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/keep_me.parquet", 0, 512, &vec![0u8; 512]); @@ -2246,6 +2251,7 @@ fn persist_task_not_spawned_when_interval_is_zero() { TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, // disabled + false, ); put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); @@ -2273,7 +2279,7 @@ fn simulated_crash_skip_drop_no_final_persist() { // This simulates a node with only Drop-based persistence. let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); put_range(&cache, "/data/crash.parquet", 0, 512, &vec![0u8; 512]); @@ -2291,7 +2297,7 @@ fn simulated_crash_skip_drop_no_final_persist() { // Next startup: key_index starts empty (clean startup path). let cache2 = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); assert!(cache2.key_index.is_empty(), "key_index must be empty after simulated crash with no prior snapshot"); @@ -2305,7 +2311,7 @@ fn graceful_shutdown_snapshot_is_valid_json_with_correct_content() { { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); put_range(&cache, "/data/nodes/0/shard1.parquet", 0, 256, &vec![0u8; 256]); put_range(&cache, "/data/nodes/0/shard1.parquet", 256, 512, &vec![0u8; 256]); @@ -2341,7 +2347,7 @@ fn no_tmp_file_left_after_graceful_shutdown() { { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); // Drop writes and renames. @@ -2361,7 +2367,7 @@ fn zero_byte_snapshot_file_treated_as_corrupt() { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); assert!(cache.key_index.is_empty(), "zero-byte snapshot must produce empty key_index (clean startup)"); @@ -2381,7 +2387,7 @@ fn no_tmp_file_on_clean_startup() { let cache = FoyerCache::new( TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, + 0, 0.0, 0, false, ); // On startup, no .tmp should be created or left behind. assert!(!dir.path().join(key_index_store::KEY_INDEX_TMP_FILENAME).exists(), @@ -2458,7 +2464,7 @@ fn key_index_recovery_with_10k_entries() { key_index_store::save(dir.path(), &dash).unwrap(); // Create a new cache from the same dir — should bulk-load the snapshot. - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); assert_eq!(cache.key_index.len(), NUM_PREFIXES, "key_index must have {NUM_PREFIXES} buckets after recovery"); @@ -2472,7 +2478,7 @@ fn key_index_recovery_with_10k_entries() { #[test] fn key_index_evict_prefix_bulk_with_10k_entries() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); const NUM_PREFIXES: usize = 100; const KEYS_PER_PREFIX: usize = 100; @@ -2511,7 +2517,7 @@ fn key_index_clear_with_10k_entries() { use std::collections::HashSet; let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); const NUM_PREFIXES: usize = 100; const KEYS_PER_PREFIX: usize = 100; @@ -2564,7 +2570,7 @@ fn recovery_stale_snapshot_keys_cleaned_by_sweep() { } // Create a fresh Foyer cache over the same dir. Foyer has no data for "data/stale.parquet". - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0); + let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); // Bulk-loaded snapshot has the stale key — used_bytes is temporarily over-counted. assert!(cache.key_index.contains_key("data/stale.parquet"), @@ -2577,3 +2583,288 @@ fn recovery_stale_snapshot_keys_cleaned_by_sweep() { assert!(!cache.key_index.contains_key("data/stale.parquet"), "stale key must be gone after sweep"); } + +// ── TieredBlockCache tests ────────────────────────────────────────────────────── + +use crate::tiered_block_cache::TieredBlockCache; +use std::sync::atomic::Ordering; + +fn tiered_test_cache() -> (TieredBlockCache, TempDir, TempDir) { + let data_dir = TempDir::new().expect("data temp dir"); + let meta_dir = TempDir::new().expect("metadata temp dir"); + let data_cache = Arc::new(FoyerCache::new( + TEST_CACHE_DISK_BYTES, data_dir.path(), TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, 0, 0.0, 0, false, + )); + let metadata_cache = Arc::new(FoyerCache::new( + TEST_CACHE_DISK_BYTES, meta_dir.path(), TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, 0, 0.0, 0, true, + )); + let tiered = TieredBlockCache::new(data_cache, metadata_cache); + (tiered, data_dir, meta_dir) +} + +/// put_metadata() routes to metadata cache; get() finds it there. +#[test] +fn tiered_cache_put_metadata_routes_to_metadata_cache() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let footer_key = range_cache_key("seg0/_0.parquet", 9990000, 10000000); + let col_idx_key = range_cache_key("seg0/_0.parquet", 8000000, 8500000); + + tiered.put_metadata(&footer_key, Bytes::from_static(b"footer_bytes")); + tiered.put_metadata(&col_idx_key, Bytes::from_static(b"column_index_bytes")); + + // get() probes metadata cache first → hit + assert_eq!(block_on(tiered.get(&footer_key)).as_deref(), Some(b"footer_bytes".as_slice())); + assert_eq!(block_on(tiered.get(&col_idx_key)).as_deref(), Some(b"column_index_bytes".as_slice())); + + // Verify metadata is in metadata_cache, not data_cache + assert!(block_on(tiered.metadata_cache().get(&footer_key)).is_some()); + assert!(block_on(tiered.data_cache().get(&footer_key)).is_none()); +} + +/// put() (normal path from TieredObjectStore::populate_cache) routes to data cache. +#[test] +fn tiered_cache_put_routes_to_data_cache() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let col_a_key = range_cache_key("seg0/_0.parquet", 0, 2097152); + tiered.put(&col_a_key, Bytes::from_static(b"col_a_data")); + + // get() misses metadata cache, hits data cache + assert_eq!(block_on(tiered.get(&col_a_key)).as_deref(), Some(b"col_a_data".as_slice())); + + // Verify data is in data_cache only + assert!(block_on(tiered.data_cache().get(&col_a_key)).is_some()); + assert!(block_on(tiered.metadata_cache().get(&col_a_key)).is_none()); +} + +/// get() checks metadata cache first — so on warm restart (Foyer recovered +/// metadata SSD), metadata is found without any re-registration. +#[test] +fn tiered_cache_get_finds_metadata_without_reregistration() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + // Simulate prior session: metadata was put via put_metadata + let key = range_cache_key("seg0/_0.parquet", 9990000, 10000000); + tiered.put_metadata(&key, Bytes::from_static(b"old_footer")); + + // get() finds it — no re-registration needed (metadata cache probed first) + assert_eq!(block_on(tiered.get(&key)).as_deref(), Some(b"old_footer".as_slice())); +} + +/// On a data key miss (not in either cache), metadata cache is still probed +/// first (miss) then data cache (miss) — both miss, returns None. Caller goes to S3. +#[test] +fn tiered_cache_total_miss_returns_none() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let key = range_cache_key("seg0/_0.parquet", 5000000, 6000000); + assert!(block_on(tiered.get(&key)).is_none()); +} + +/// Full DataFusion query simulation: +/// 1. Shard init: warmup puts metadata via put_metadata() +/// 2. Query: DataFusion reads metadata → hit from metadata cache (probed first) +/// 3. Query: DataFusion reads data → miss → S3 → put() → data cache +/// 4. Query 2: same data → hit from data cache +#[test] +fn tiered_cache_full_datafusion_query_simulation() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + let path = "seg0/_0.parquet"; + + // ── Warmup: put metadata explicitly ────────────────────────────── + let footer_key = range_cache_key(path, 9_990_000, 10_000_000); + let col_idx_key = range_cache_key(path, 8_000_000, 8_500_000); + tiered.put_metadata(&footer_key, Bytes::from(vec![0xF; 10_000])); + tiered.put_metadata(&col_idx_key, Bytes::from(vec![0xC; 500_000])); + + // ── Query: metadata reads → hit (metadata cache probed first) ──── + assert!(block_on(tiered.get(&footer_key)).is_some(), "footer must hit"); + assert!(block_on(tiered.get(&col_idx_key)).is_some(), "column index must hit"); + + // ── Query: data read → miss first time ─────────────────────────── + let data_key = range_cache_key(path, 0, 2_000_000); + assert!(block_on(tiered.get(&data_key)).is_none(), "data miss on first access"); + + // ── S3 fetch → populate_cache → put() → data cache ────────────── + tiered.put(&data_key, Bytes::from(vec![0xAA; 2_000_000])); + + // ── Query 2: same data → hit from data cache ───────────────────── + assert_eq!(block_on(tiered.get(&data_key)).map(|b| b.len()), Some(2_000_000)); + + // ── Verify isolation ───────────────────────────────────────────── + assert!(block_on(tiered.metadata_cache().get(&footer_key)).is_some()); + assert!(block_on(tiered.data_cache().get(&footer_key)).is_none()); + assert!(block_on(tiered.data_cache().get(&data_key)).is_some()); + assert!(block_on(tiered.metadata_cache().get(&data_key)).is_none()); +} + +/// evict_prefix removes entries from both caches. +#[test] +fn tiered_cache_evict_prefix_cleans_both_caches() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + let path = "seg0/_0.parquet"; + + tiered.put_metadata(&range_cache_key(path, 9000000, 10000000), Bytes::from_static(b"meta")); + tiered.put(&range_cache_key(path, 0, 1000000), Bytes::from_static(b"data")); + + tiered.evict_prefix(path); + + assert!(block_on(tiered.get(&range_cache_key(path, 9000000, 10000000))).is_none()); + assert!(block_on(tiered.get(&range_cache_key(path, 0, 1000000))).is_none()); +} + +/// Multiple shards — evicting one doesn't affect others. +#[test] +fn tiered_cache_multiple_shards_are_independent() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let s0 = range_cache_key("seg0/_0.parquet", 9000, 10000); + let s1 = range_cache_key("seg1/_0.parquet", 9000, 10000); + tiered.put_metadata(&s0, Bytes::from_static(b"shard0")); + tiered.put_metadata(&s1, Bytes::from_static(b"shard1")); + + tiered.evict_prefix("seg0/"); + + assert!(block_on(tiered.get(&s0)).is_none()); + assert_eq!(block_on(tiered.get(&s1)).as_deref(), Some(b"shard1".as_slice())); +} + +/// Metadata hit does not touch data cache SSD. +#[test] +fn tiered_cache_metadata_hit_never_probes_data_ssd() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let key = range_cache_key("seg0/_0.parquet", 9990000, 10000000); + tiered.put_metadata(&key, Bytes::from_static(b"footer")); + + let data_hits_before = tiered.data_cache().stats.hit_count.load(Ordering::Relaxed); + let data_misses_before = tiered.data_cache().stats.miss_count.load(Ordering::Relaxed); + + let result = block_on(tiered.get(&key)); + assert!(result.is_some()); + + // Data cache untouched + assert_eq!(tiered.data_cache().stats.hit_count.load(Ordering::Relaxed), data_hits_before); + assert_eq!(tiered.data_cache().stats.miss_count.load(Ordering::Relaxed), data_misses_before); +} + +/// Key alignment: exact range match = hit, subset/superset = miss. +#[test] +fn tiered_cache_key_alignment_warmup_matches_query() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let key = range_cache_key("seg0/_0.parquet", 8_000_000, 8_500_000); + tiered.put_metadata(&key, Bytes::from(vec![0xC; 500_000])); + + // Exact same range → hit + assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_500_000))).is_some()); + + // Subset → miss (different key) + assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_250_000))).is_none()); + + // Superset → miss (different key) + assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 7_500_000, 9_000_000))).is_none()); +} + +/// put_metadata() skips entries larger than max_metadata_entry_size — oversized +/// metadata is never written, bounding memory for pathological (wide-schema) files. +#[test] +fn tiered_cache_put_metadata_skips_oversized_entry() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + // Shrink the bound so the test stays small (no multi-MB allocations). + tiered.update_max_metadata_entry_size(2048); + + let big_key = range_cache_key("seg0/_0.parquet", 0, 4096); + tiered.put_metadata(&big_key, Bytes::from(vec![0xAB; 4096])); // 4KB > 2KB → skipped + assert!(block_on(tiered.get(&big_key)).is_none(), + "metadata entry exceeding max_metadata_entry_size must not be cached"); + assert!(block_on(tiered.metadata_cache().get(&big_key)).is_none(), + "oversized metadata must not reach the metadata tier"); + + let small_key = range_cache_key("seg0/_0.parquet", 0, 1024); + tiered.put_metadata(&small_key, Bytes::from(vec![0xCD; 1024])); // 1KB <= 2KB → cached + assert_eq!(block_on(tiered.get(&small_key)).map(|b| b.len()), Some(1024), + "metadata entry within the limit must be cached"); + assert!(block_on(tiered.metadata_cache().get(&small_key)).is_some()); +} + +/// put() skips data entries larger than max_data_entry_size; the getter reflects +/// the configured bound (used by TieredObjectStore::get_opts to avoid buffering). +#[test] +fn tiered_cache_put_skips_oversized_data_entry() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + tiered.update_max_data_entry_size(2048); + assert_eq!(tiered.max_data_entry_size(), 2048, "getter must reflect the updated bound"); + + let big_key = range_cache_key("seg0/_0.parquet", 0, 4096); + tiered.put(&big_key, Bytes::from(vec![0xAB; 4096])); // 4KB > 2KB → skipped + assert!(block_on(tiered.get(&big_key)).is_none(), + "data entry exceeding max_data_entry_size must not be cached"); + + let small_key = range_cache_key("seg0/_0.parquet", 4096, 5120); + tiered.put(&small_key, Bytes::from(vec![0xCD; 1024])); // 1KB <= 2KB → cached + assert!(block_on(tiered.data_cache().get(&small_key)).is_some(), + "data entry within the limit must be cached"); +} + +/// Size bounds update dynamically — raising the limit admits a previously +/// rejected entry on the next put. +#[test] +fn tiered_cache_size_bound_update_takes_effect_immediately() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + + let key = range_cache_key("seg0/_0.parquet", 0, 4096); + + // Tight bound → rejected. + tiered.update_max_data_entry_size(1024); + tiered.put(&key, Bytes::from(vec![0x11; 4096])); + assert!(block_on(tiered.get(&key)).is_none(), "4KB rejected under 1KB bound"); + + // Raise the bound → same entry now admitted. + tiered.update_max_data_entry_size(8192); + tiered.put(&key, Bytes::from(vec![0x22; 4096])); + assert_eq!(block_on(tiered.get(&key)).map(|b| b.len()), Some(4096), + "4KB admitted after raising bound to 8KB"); +} + +/// clear_sync() empties both tiers. This is the production entry point +/// (FFM `foyer_clear_cache` → `clear_sync`); the async `clear()` trait method +/// internally delegates to it. +#[test] +fn tiered_cache_clear_empties_both_tiers() { + let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); + let path = "seg0/_0.parquet"; + + tiered.put_metadata(&range_cache_key(path, 9_000_000, 10_000_000), Bytes::from_static(b"meta")); + tiered.put(&range_cache_key(path, 0, 1_000_000), Bytes::from_static(b"data")); + + tiered.clear_sync(); + + assert!(block_on(tiered.metadata_cache().get(&range_cache_key(path, 9_000_000, 10_000_000))).is_none(), + "metadata tier must be empty after clear_sync()"); + assert!(block_on(tiered.data_cache().get(&range_cache_key(path, 0, 1_000_000))).is_none(), + "data tier must be empty after clear_sync()"); +} + +/// A single-tier FoyerCache (metadata_cache_ratio=0) inherits the +/// `BlockCache::put_metadata` default, which routes to put() — so warmup's +/// put_metadata still lands in the one cache. Dispatched via `&dyn BlockCache` +/// to exercise the trait default explicitly. +#[test] +fn foyer_cache_put_metadata_default_routes_to_put() { + let (cache, _dir) = test_cache(); + let dyn_cache: &dyn crate::traits::BlockCache = &cache; + + let key = range_cache_key("seg0/_0.parquet", 0, 64); + dyn_cache.put_metadata(&key, Bytes::from_static(b"footer")); + + assert_eq!(block_on(dyn_cache.get(&key)).as_deref(), Some(b"footer".as_slice()), + "put_metadata default must route to the single cache and be retrievable via get()"); +} diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs new file mode 100644 index 0000000000000..bea2abf4dcdef --- /dev/null +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs @@ -0,0 +1,188 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! [`TieredBlockCache`] — routes entries between a data cache and a metadata cache. +//! +//! The data cache is a large SSD-backed [`FoyerCache`] with default eviction (RejectAll +//! reinsertion). The metadata cache is a smaller SSD-backed [`FoyerCache`] configured +//! with AdmitAll reinsertion so that metadata entries are never evicted by the disk +//! reclaimer — they are always reinserted. +//! +//! ## Routing +//! +//! - `get()`: tries metadata cache first, then data cache. No marking needed. +//! - `put()`: always goes to data cache (normal query-time caching). +//! - `put_metadata()`: explicit warmup call — goes to metadata cache only. +//! +//! ## Restart +//! +//! No persistence needed for routing state. Foyer recovers metadata SSD blocks +//! via `RecoverMode::Quiet`. After restart, `get()` probes metadata cache first +//! and finds the recovered entries — zero S3 calls for metadata. + +use std::sync::Arc; +use std::sync::atomic::{AtomicU64, Ordering}; + +use bytes::Bytes; + +use crate::foyer::foyer_cache::FoyerCache; +use crate::range_cache::CacheKey; +use crate::traits::BlockCache; + +/// Default max metadata entry size: 8MB. +/// Covers up to ~1000-column schemas with page indexes. +const DEFAULT_MAX_METADATA_ENTRY_SIZE: u64 = 8 * 1024 * 1024; + +/// Default max data entry size: 32MB. +/// Covers individual column chunks for most schemas. Skips full-RG fetches. +const DEFAULT_MAX_DATA_ENTRY_SIZE: u64 = 32 * 1024 * 1024; + +/// A two-tier block cache: metadata cache + data cache on separate SSDs. +/// +/// ## Lookup order +/// +/// `get()` always probes metadata cache first (small, fast), then data cache. +/// +/// ## Write routing +/// +/// - `put()` → data cache if entry ≤ max_data_entry_size, else skip. +/// - `put_metadata()` → metadata cache if entry ≤ max_metadata_entry_size, else skip. +/// +/// Entries exceeding their respective limits are not cached (returned to caller +/// without caching). This bounds memory usage for large entries. +pub struct TieredBlockCache { + data_cache: Arc, + metadata_cache: Arc, + /// Max entry size for metadata cache. Entries larger than this are not cached. + max_metadata_entry_size: AtomicU64, + /// Max entry size for data cache. Entries larger than this are not cached. + max_data_entry_size: AtomicU64, +} + +impl TieredBlockCache { + pub fn new(data_cache: Arc, metadata_cache: Arc) -> Self { + native_bridge_common::log_info!( + "[tiered-block-cache] created: data_disk={}B, metadata_disk={}B, \ + max_metadata_entry={}B, max_data_entry={}B", + data_cache.disk_bytes, + metadata_cache.disk_bytes, + DEFAULT_MAX_METADATA_ENTRY_SIZE, + DEFAULT_MAX_DATA_ENTRY_SIZE + ); + Self { + data_cache, + metadata_cache, + max_metadata_entry_size: AtomicU64::new(DEFAULT_MAX_METADATA_ENTRY_SIZE), + max_data_entry_size: AtomicU64::new(DEFAULT_MAX_DATA_ENTRY_SIZE), + } + } + + /// Put bytes into the metadata cache. Called during shard warmup only. + /// + /// Entries exceeding max_metadata_entry_size are skipped (not cached). + /// Metadata cache uses LRU eviction on a separate SSD. + pub fn put_metadata(&self, key: &CacheKey, data: Bytes) { + let limit = self.max_metadata_entry_size.load(Ordering::Relaxed); + if data.len() as u64 > limit { + return; + } + self.metadata_cache.put(key, data); + } + + /// Update max metadata entry size dynamically. Takes effect immediately. + pub fn update_max_metadata_entry_size(&self, size: u64) { + self.max_metadata_entry_size.store(size, Ordering::Relaxed); + native_bridge_common::log_info!( + "[tiered-block-cache] max_metadata_entry_size updated to {}B", size + ); + } + + /// Update max data entry size dynamically. Takes effect immediately. + pub fn update_max_data_entry_size(&self, size: u64) { + self.max_data_entry_size.store(size, Ordering::Relaxed); + native_bridge_common::log_info!( + "[tiered-block-cache] max_data_entry_size updated to {}B", size + ); + } + + /// Current max data entry size (used by TieredObjectStore for get_opts threshold). + pub fn max_data_entry_size(&self) -> u64 { + self.max_data_entry_size.load(Ordering::Relaxed) + } + + /// Wait for both caches' flushers to drain. After this, all entries are on + /// SSD and findable via get(). Used in tests and warmup to ensure durability. + pub async fn wait_for_flush(&self) { + self.metadata_cache.wait_for_flush().await; + self.data_cache.wait_for_flush().await; + } + + /// Access the underlying data cache (e.g. for stats). + pub fn data_cache(&self) -> &FoyerCache { + &self.data_cache + } + + /// Access the underlying metadata cache (e.g. for stats). + pub fn metadata_cache(&self) -> &FoyerCache { + &self.metadata_cache + } + + /// Clear all entries synchronously. + pub(crate) fn clear_sync(&self) { + self.data_cache.clear_sync(); + self.metadata_cache.clear_sync(); + native_bridge_common::log_info!("[tiered-block-cache] clear_sync completed"); + } +} + +impl BlockCache for TieredBlockCache { + fn as_any(&self) -> &dyn std::any::Any { + self + } + + fn get<'a>(&'a self, key: &'a CacheKey) + -> std::pin::Pin> + Send + 'a>> + { + Box::pin(async move { + // Metadata cache first — small SSD, fast probe, never evicts. + // On warm restart, Foyer recovers these from disk — instant hit. + if let Some(bytes) = self.metadata_cache.get(key).await { + return Some(bytes); + } + // Fall through to data cache. + self.data_cache.get(key).await + }) + } + + fn put(&self, key: &CacheKey, data: Bytes) { + // Data cache put — entries exceeding max_data_entry_size are skipped. + let limit = self.max_data_entry_size.load(Ordering::Relaxed); + if data.len() as u64 > limit { + return; + } + self.data_cache.put(key, data); + } + + fn put_metadata(&self, key: &CacheKey, data: Bytes) { + // Delegate to the inherent method which applies the size bound. + TieredBlockCache::put_metadata(self, key, data); + } + + fn evict_prefix(&self, prefix: &str) { + self.data_cache.evict_prefix(prefix); + self.metadata_cache.evict_prefix(prefix); + } + + fn clear(&self) -> std::pin::Pin + Send + '_>> { + Box::pin(async move { + self.data_cache.clear_sync(); + self.metadata_cache.clear_sync(); + native_bridge_common::log_info!("[tiered-block-cache] cleared"); + }) + } +} diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs index 4d6f32e27ff33..226005cff75cd 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs @@ -31,9 +31,22 @@ pub trait BlockCache: Send + Sync + std::any::Any { fn get<'a>(&'a self, key: &'a CacheKey) -> std::pin::Pin> + Send + 'a>>; - /// Insert bytes under the given key. + /// Insert bytes under the given key (data cache — evictable by LRU). fn put(&self, key: &CacheKey, data: Bytes); + /// Insert bytes into the metadata cache (never evicted by LRU). + /// + /// For caches without a separate metadata tier (e.g., `FoyerCache` used standalone), + /// this falls back to `put()` — which is correct since the single-tier cache does + /// not distinguish metadata from data. `TieredBlockCache` overrides this to route + /// metadata to its dedicated non-evictable metadata cache. + /// + /// Called by the warmup path to ensure metadata bytes are stored in the durable + /// (non-evictable) tier, surviving LRU pressure from data scan workloads. + fn put_metadata(&self, key: &CacheKey, data: Bytes) { + self.put(key, data); + } + /// Evict all entries whose key starts with `prefix`. A no-op if nothing matches. /// /// For range entries: pass the file path — evicts all byte-range keys for that file. diff --git a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPluginTests.java b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPluginTests.java index 82a5aaff4c13b..5e057ef036aaa 100644 --- a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPluginTests.java +++ b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/BlockCacheFoyerPluginTests.java @@ -167,15 +167,15 @@ public void testSetReservedCapacityBytesDoesNotThrow() { public void testGetSettingsRegistersAllSettings() { BlockCacheFoyerPlugin plugin = new BlockCacheFoyerPlugin(Settings.EMPTY); List> settings = plugin.getSettings(); - // DATA_TO_CACHE_RATIO_SETTING removed — ratio now read from cluster.filecache.remote_data_ratio - // KEY_INDEX_PERSIST_INTERVAL_SETTING added for independent periodic key_index persistence - assertEquals(8, settings.size()); + assertEquals(10, settings.size()); assertTrue(settings.contains(FoyerBlockCacheSettings.CACHE_SIZE_SETTING)); assertTrue(settings.contains(FoyerBlockCacheSettings.BLOCK_SIZE_SETTING)); assertTrue(settings.contains(FoyerBlockCacheSettings.IO_ENGINE_SETTING)); assertTrue(settings.contains(FoyerBlockCacheSettings.KEY_INDEX_SWEEP_INTERVAL_SETTING)); assertTrue(settings.contains(FoyerBlockCacheSettings.KEY_INDEX_SWEEP_THRESHOLD_SETTING)); assertTrue(settings.contains(FoyerBlockCacheSettings.KEY_INDEX_PERSIST_INTERVAL_SETTING)); + assertTrue(settings.contains(FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING)); + assertTrue(settings.contains(FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING)); } public void testGetSettingsNoNulls() { diff --git a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerAggregatedStatsTests.java b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerAggregatedStatsTests.java index b5f60d31b4b2f..b49f941742020 100644 --- a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerAggregatedStatsTests.java +++ b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerAggregatedStatsTests.java @@ -279,6 +279,68 @@ public void testPositiveActiveInBytesPassesThrough() { assertEquals(8192L, FoyerAggregatedStats.snapshot(raw, 0L).blockLevelStats().activeInBytes()); } + // ── Tiered stats (snapshotTiered) ────────────────────────────────────────── + + public void testSnapshotTieredNonNull() { + assertNotNull(FoyerAggregatedStats.snapshotTiered(new long[20], 100L, 10L)); + } + + public void testSnapshotTieredIsTiered() { + assertTrue(FoyerAggregatedStats.snapshotTiered(new long[20], 100L, 10L).isTiered()); + } + + public void testSnapshotNonTieredIsNotTiered() { + assertFalse(FoyerAggregatedStats.snapshot(new long[20], 100L).isTiered()); + } + + public void testSnapshotTieredOverallMergesCounters() { + // data: 10 hits, 100 hit_bytes | metadata: 5 hits, 50 hit_bytes + long[] raw = buf(10, 100, 0, 0, 0, 0, 0, 0, 0, 0, 5, 50, 0, 0, 0, 0, 0, 0, 0, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 200L); + assertEquals(15L, s.overallStats().hits()); + assertEquals(150L, s.overallStats().hitBytes()); + } + + public void testSnapshotTieredDataCacheStats() { + long[] raw = buf(10, 100, 3, 300, 1, 50, 500, 0, 0, 0, 5, 50, 2, 200, 0, 0, 100, 0, 0, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 200L); + assertEquals(10L, s.dataCacheStats().hits()); + assertEquals(100L, s.dataCacheStats().hitBytes()); + assertEquals(3L, s.dataCacheStats().misses()); + assertEquals(500L, s.dataCacheStats().diskBytesUsed()); + assertEquals(1000L, s.dataCacheStats().totalBytes()); + } + + public void testSnapshotTieredMetadataCacheStats() { + long[] raw = buf(10, 100, 3, 300, 1, 50, 500, 0, 0, 0, 5, 50, 2, 200, 0, 0, 100, 0, 0, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 200L); + assertEquals(5L, s.metadataCacheStats().hits()); + assertEquals(50L, s.metadataCacheStats().hitBytes()); + assertEquals(2L, s.metadataCacheStats().misses()); + assertEquals(100L, s.metadataCacheStats().diskBytesUsed()); + assertEquals(200L, s.metadataCacheStats().totalBytes()); + } + + public void testSnapshotTieredCapacityBytes() { + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(new long[20], 380_000L, 20_000L); + assertEquals(380_000L, s.dataCapacityBytes()); + assertEquals(20_000L, s.metadataCapacityBytes()); + assertEquals(400_000L, s.overallStats().totalBytes()); + } + + public void testSnapshotTieredOverallUsedBytesIsSumOfBoth() { + long[] raw = buf(0, 0, 0, 0, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50, 0, 0, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 100L); + assertEquals(850L, s.overallStats().diskBytesUsed()); + } + + public void testSnapshotTieredOverallEvictionsIsSumOfBoth() { + long[] raw = buf(0, 0, 0, 0, 7, 700, 0, 0, 0, 0, 0, 0, 0, 0, 3, 300, 0, 0, 0, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 100L); + assertEquals(10L, s.overallStats().evictions()); + assertEquals(1000L, s.overallStats().evictionBytes()); + } + // ── All-zeros ───────────────────────────────────────────────────────────── public void testAllZeroBuffer() { @@ -337,4 +399,71 @@ public void testCompleteProjectionWithActiveInBytes() { assertEquals(150L, blockLevel.removedBytes()); assertEquals(20L, blockLevel.activeInBytes()); } + + // ── Post-refactor: per-tier accessors return their sections directly ───── + + /** + * After the refactor that stores {@code dataCacheStats} and {@code metadataCacheStats} + * directly (no subtraction-from-overall), each accessor must return exactly what the + * native side wrote into its respective FFM section. Independent values per field per + * tier guard against any latent regression that re-introduces subtraction-based math. + */ + public void testTieredPerTierAccessorsReturnSectionsDirectly() { + // Section 0 (data): hits=10, hitBytes=100, misses=3, missBytes=300, evictions=1, + // evictionBytes=50, used=500, removed=5, removedBytes=50, active=0 + // Section 1 (meta): hits=20, hitBytes=200, misses=4, missBytes=400, evictions=2, + // evictionBytes=80, used=100, removed=11, removedBytes=110, active=0 + long[] raw = buf(10, 100, 3, 300, 1, 50, 500, 5, 50, 0, 20, 200, 4, 400, 2, 80, 100, 11, 110, 0); + FoyerAggregatedStats s = FoyerAggregatedStats.snapshotTiered(raw, 1000L, 200L); + + assertTrue("snapshotTiered must be flagged tiered", s.isTiered()); + assertNotNull("dataCacheStats must be non-null in tiered mode", s.dataCacheStats()); + assertNotNull("metadataCacheStats must be non-null in tiered mode", s.metadataCacheStats()); + + // Data tier — section 0 verbatim. + BlockCacheStats data = s.dataCacheStats(); + assertEquals(10L, data.hits()); + assertEquals(100L, data.hitBytes()); + assertEquals(3L, data.misses()); + assertEquals(300L, data.missBytes()); + assertEquals(1L, data.evictions()); + assertEquals(50L, data.evictionBytes()); + assertEquals(5L, data.removed()); + assertEquals(50L, data.removedBytes()); + assertEquals(500L, data.diskBytesUsed()); + assertEquals(1000L, data.totalBytes()); + + // Metadata tier — section 1 verbatim, NOT (overall - data). + BlockCacheStats meta = s.metadataCacheStats(); + assertEquals(20L, meta.hits()); + assertEquals(200L, meta.hitBytes()); + assertEquals(4L, meta.misses()); + assertEquals(400L, meta.missBytes()); + assertEquals(2L, meta.evictions()); + assertEquals(80L, meta.evictionBytes()); + assertEquals(11L, meta.removed()); + assertEquals(110L, meta.removedBytes()); + assertEquals(100L, meta.diskBytesUsed()); + assertEquals(200L, meta.totalBytes()); + + // Overall is the eager merge of both tiers. + BlockCacheStats overall = s.overallStats(); + assertEquals(30L, overall.hits()); + assertEquals(7L, overall.misses()); + assertEquals(16L, overall.removed()); + assertEquals(160L, overall.removedBytes()); + assertEquals(600L, overall.diskBytesUsed()); + assertEquals(1200L, overall.totalBytes()); + } + + /** + * In single-cache mode the per-tier accessors return {@code null}. Callers asking for + * per-tier breakdown are expected to gate on {@link FoyerAggregatedStats#isTiered()}. + */ + public void testSinglePerTierAccessorsReturnNull() { + FoyerAggregatedStats s = FoyerAggregatedStats.snapshot(new long[20], 1024L); + assertFalse("snapshot must not be flagged tiered", s.isTiered()); + assertNull("dataCacheStats must be null in single-cache mode", s.dataCacheStats()); + assertNull("metadataCacheStats must be null in single-cache mode", s.metadataCacheStats()); + } } diff --git a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java index 16ef3a0ca5d92..9dda0a2125b33 100644 --- a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java +++ b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java @@ -197,4 +197,116 @@ public void testSweepThresholdRejectsAboveOne() { ); } + // ── METADATA_CACHE_RATIO_SETTING ───────────────────────────────────────── + + public void testMetadataCacheRatioDefault() { + assertEquals("5%", FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get(Settings.EMPTY)); + } + + public void testMetadataCacheRatioAcceptsPercentage() { + assertEquals( + "10%", + FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "10%").build() + ) + ); + } + + public void testMetadataCacheRatioAcceptsRatioForm() { + assertEquals( + "0.05", + FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "0.05").build() + ) + ); + } + + public void testMetadataCacheRatioAcceptsZero() { + assertEquals( + "0%", + FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "0%").build() + ) + ); + } + + public void testMetadataCacheRatioAcceptsNearMaximum() { + assertEquals( + "49%", + FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "49%").build() + ) + ); + } + + public void testMetadataCacheRatioRejectsFiftyPercent() { + IllegalArgumentException ex = expectThrows( + IllegalArgumentException.class, + () -> FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "50%").build() + ) + ); + assertTrue(ex.getMessage().contains("block_cache.foyer.metadata_cache_ratio")); + } + + public void testMetadataCacheRatioRejectsNegative() { + expectThrows( + IllegalArgumentException.class, + () -> FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "-1%").build() + ) + ); + } + + public void testMetadataCacheRatioRejectsGarbage() { + expectThrows( + IllegalArgumentException.class, + () -> FoyerBlockCacheSettings.METADATA_CACHE_RATIO_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_cache_ratio", "notanumber").build() + ) + ); + } + + // ── METADATA_BLOCK_SIZE_SETTING ────────────────────────────────────────── + + public void testMetadataBlockSizeDefault() { + assertEquals(new ByteSizeValue(8, ByteSizeUnit.MB), FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get(Settings.EMPTY)); + } + + public void testMetadataBlockSizeAcceptsMinimum() { + assertEquals( + new ByteSizeValue(1, ByteSizeUnit.MB), + FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_block_size", "1mb").build() + ) + ); + } + + public void testMetadataBlockSizeAcceptsMaximum() { + assertEquals( + new ByteSizeValue(128, ByteSizeUnit.MB), + FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_block_size", "128mb").build() + ) + ); + } + + public void testMetadataBlockSizeRejectsBelowMinimum() { + expectThrows( + IllegalArgumentException.class, + () -> FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_block_size", "512kb").build() + ) + ); + } + + public void testMetadataBlockSizeRejectsAboveMaximum() { + expectThrows( + IllegalArgumentException.class, + () -> FoyerBlockCacheSettings.METADATA_BLOCK_SIZE_SETTING.get( + Settings.builder().put("block_cache.foyer.metadata_block_size", "129mb").build() + ) + ); + } + } diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/store/TieredStorageBridge.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/store/TieredStorageBridge.java index bc5cac90b9266..4a0d56261f6d8 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/store/TieredStorageBridge.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/store/TieredStorageBridge.java @@ -150,7 +150,9 @@ public static void registerFile(long storePtr, String file, String path, int loc registerFiles(storePtr, java.util.Map.of(file, path != null ? path : ""), location, size); } - /** Remove a file from the registry. */ + /** + * Remove a file from the registry. + */ public static void removeFile(long storePtr, String path) { try (Arena arena = Arena.ofConfined()) { MemorySegment seg = arena.allocateFrom(path); diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java index 2fac2d217c73a..36e22da70c213 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareReadOnlyEngine.java @@ -35,6 +35,7 @@ import org.opensearch.index.engine.exec.DocumentMetadataResolver; import org.opensearch.index.engine.exec.EngineReaderManager; import org.opensearch.index.engine.exec.FileDeleter; +import org.opensearch.index.engine.exec.FilesListener; import org.opensearch.index.engine.exec.Indexer; import org.opensearch.index.engine.exec.commit.Committer; import org.opensearch.index.engine.exec.commit.CommitterConfig; @@ -185,16 +186,22 @@ public DataFormatAwareReadOnlyEngine(EngineConfig engineConfig, @Nullable Docume readerManagersRef = Map.copyOf(aggregated); this.readerManagers = readerManagersRef; - // Register reader managers as catalog snapshot lifecycle listeners so they are notified - // (via installSnapshot → afterRefresh) BEFORE latestCatalogSnapshot is swapped. This - // guarantees readers are updated before the snapshot becomes externally visible. - List snapshotListeners = new ArrayList<>(readerManagersRef.values()); + // Register reader managers as BOTH files listeners and snapshot lifecycle listeners. + // Files listeners make IndexFileDeleter fire onFilesAdded for the committed snapshot + // at open, eagerly warming the metadata cache before the first query; snapshot + // listeners build the reader before latestCatalogSnapshot is swapped. + Map filesListeners = new HashMap<>(); + List snapshotListeners = new ArrayList<>(); + for (Map.Entry> entry : readerManagersRef.entrySet()) { + filesListeners.put(entry.getKey().name(), entry.getValue()); + snapshotListeners.add(entry.getValue()); + } catalogSnapshotManagerRef = new CatalogSnapshotManager( committed, new NoOpCatalogSnapshotDeletionPolicy(), compositeDeleter, - Map.of(), + filesListeners, snapshotListeners, store.shardPath(), committer diff --git a/server/src/main/java/org/opensearch/index/store/remote/filecache/NodeCacheService.java b/server/src/main/java/org/opensearch/index/store/remote/filecache/NodeCacheService.java index 745f537390064..ac0f363ae2d34 100644 --- a/server/src/main/java/org/opensearch/index/store/remote/filecache/NodeCacheService.java +++ b/server/src/main/java/org/opensearch/index/store/remote/filecache/NodeCacheService.java @@ -28,6 +28,7 @@ import org.opensearch.plugins.BlockCacheProvider; import org.opensearch.plugins.BlockCacheRegistry; import org.opensearch.plugins.BlockCacheStats; +import org.opensearch.plugins.BlockCacheTieredStats; import java.io.Closeable; import java.io.IOException; @@ -246,6 +247,7 @@ public BlockCacheStats combinedBlockCacheStats() { long hits = 0, misses = 0, hitBytes = 0, missBytes = 0; long evictions = 0, evictionBytes = 0, removed = 0, removedBytes = 0; long memUsed = 0, diskUsed = 0, total = 0, activeInBytes = 0; + BlockCacheTieredStats tiered = null; for (BlockCache bc : blockCaches) { BlockCacheStats s = bc.stats(); hits += s.hits(); @@ -260,6 +262,9 @@ public BlockCacheStats combinedBlockCacheStats() { diskUsed += s.diskBytesUsed(); total += s.totalBytes(); activeInBytes += s.activeInBytes(); + if (tiered == null) { + tiered = bc.tieredStats(); + } } return new BlockCacheStats( hits, @@ -273,7 +278,8 @@ public BlockCacheStats combinedBlockCacheStats() { memUsed, diskUsed, total, - activeInBytes + activeInBytes, + tiered ); } diff --git a/server/src/main/java/org/opensearch/plugins/BlockCache.java b/server/src/main/java/org/opensearch/plugins/BlockCache.java index c2942a18b6fbd..2968d9f43814f 100644 --- a/server/src/main/java/org/opensearch/plugins/BlockCache.java +++ b/server/src/main/java/org/opensearch/plugins/BlockCache.java @@ -110,4 +110,17 @@ default void evictPrefix(String prefix) {} * @return {@code true} if the cache was cleared successfully, {@code false} on failure */ boolean clear(); + + /** + * Returns optional per-tier stats for tiered caches (e.g. separate data and metadata caches). + * + *

      The default implementation returns {@code null}, indicating a single-tier cache. + * Tiered implementations override to provide a breakdown that gets rendered as + * {@code data_cache_stats} and {@code metadata_cache_stats} in the REST response. + * + * @return tiered stats breakdown, or {@code null} if not applicable + */ + default BlockCacheTieredStats tieredStats() { + return null; + } } diff --git a/server/src/main/java/org/opensearch/plugins/BlockCacheStats.java b/server/src/main/java/org/opensearch/plugins/BlockCacheStats.java index f3706ecce5f88..9592c87a05edb 100644 --- a/server/src/main/java/org/opensearch/plugins/BlockCacheStats.java +++ b/server/src/main/java/org/opensearch/plugins/BlockCacheStats.java @@ -62,11 +62,42 @@ */ @ExperimentalApi public record BlockCacheStats(long hits, long misses, long hitBytes, long missBytes, long evictions, long evictionBytes, long removed, - long removedBytes, long memoryBytesUsed, long diskBytesUsed, long totalBytes, long activeInBytes) + long removedBytes, long memoryBytesUsed, long diskBytesUsed, long totalBytes, long activeInBytes, BlockCacheTieredStats tieredStats) implements Writeable, ToXContentFragment { + public BlockCacheStats( + long hits, + long misses, + long hitBytes, + long missBytes, + long evictions, + long evictionBytes, + long removed, + long removedBytes, + long memoryBytesUsed, + long diskBytesUsed, + long totalBytes, + long activeInBytes + ) { + this( + hits, + misses, + hitBytes, + missBytes, + evictions, + evictionBytes, + removed, + removedBytes, + memoryBytesUsed, + diskBytesUsed, + totalBytes, + activeInBytes, + null + ); + } + public BlockCacheStats(StreamInput in) throws IOException { this( in.readLong(), @@ -80,7 +111,8 @@ public BlockCacheStats(StreamInput in) throws IOException { in.readLong(), in.readLong(), in.readLong(), - in.readLong() + in.readLong(), + in.getVersion().onOrAfter(org.opensearch.Version.V_3_8_0) ? in.readOptionalWriteable(BlockCacheTieredStats::new) : null ); } @@ -98,19 +130,21 @@ public void writeTo(StreamOutput out) throws IOException { out.writeLong(diskBytesUsed); out.writeLong(totalBytes); out.writeLong(activeInBytes); + if (out.getVersion().onOrAfter(org.opensearch.Version.V_3_8_0)) { + out.writeOptionalWriteable(tieredStats); + } } @Override public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { builder.startObject("block_cache"); - // over_all_stats: aggregate across all block cache implementations (today only Foyer) renderBlockCacheSubStats(builder, "over_all_stats"); - // full_file_stats: not supported in Foyer yet renderFullFileSubStats(builder, "full_file_stats"); - // block_file_stats: Foyer's own stats renderBlockCacheSubStats(builder, "block_file_stats"); - // pinned_file_stats: not supported in Foyer yet renderPinnedSubStats(builder, "pinned_file_stats"); + if (tieredStats != null) { + tieredStats.toXContent(builder, params); + } builder.endObject(); return builder; } @@ -119,16 +153,15 @@ private void renderBlockCacheSubStats(XContentBuilder builder, String name) thro builder.startObject(name); builder.field("active_in_bytes", activeInBytes); builder.field("used_in_bytes", diskBytesUsed + memoryBytesUsed); - builder.field("pinned_in_bytes", 0); // not supported in Foyer yet + builder.field("pinned_in_bytes", 0); builder.field("evictions_in_bytes", evictionBytes); builder.field("removed_in_bytes", removedBytes); - builder.field("active_percent", 0); // not supported in Foyer yet + builder.field("active_percent", 0); builder.field("hit_count", hits); builder.field("miss_count", misses); builder.endObject(); } - // full_file_stats and pinned_file_stats are not supported in Foyer yet — rendered as zeros private static void renderFullFileSubStats(XContentBuilder builder, String name) throws IOException { builder.startObject(name); builder.field("active_in_bytes", 0); diff --git a/server/src/main/java/org/opensearch/plugins/BlockCacheTieredStats.java b/server/src/main/java/org/opensearch/plugins/BlockCacheTieredStats.java new file mode 100644 index 0000000000000..7ec18883a87bc --- /dev/null +++ b/server/src/main/java/org/opensearch/plugins/BlockCacheTieredStats.java @@ -0,0 +1,129 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.plugins; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; +import org.opensearch.core.common.io.stream.Writeable; +import org.opensearch.core.xcontent.ToXContentFragment; +import org.opensearch.core.xcontent.XContentBuilder; + +import java.io.IOException; + +/** + * Per-tier breakdown for tiered block caches (e.g. separate data and metadata SSDs). + * + *

      Rendered as {@code data_cache_stats} and {@code metadata_cache_stats} sub-objects + * within the {@code block_cache} section of the node stats response. Only present + * when the block cache is configured in tiered mode. + * + *

      The {@code removed} counters track explicit invalidations (e.g. shard deletion + * via {@code evict_prefix}, prune via {@code clear()}) on each tier independently + * from capacity-driven evictions. + * + *

      Wire format is gated at {@link org.opensearch.Version#V_3_8_0} via the outer + * {@link BlockCacheStats} reader; the inner field set defined here was finalized + * before the V_3_8_0 release and does not require a separate gate. + * + * @opensearch.experimental + */ +@ExperimentalApi +public record BlockCacheTieredStats(long dataHits, long dataMisses, long dataHitBytes, long dataMissBytes, long dataEvictions, + long dataEvictionBytes, long dataRemoved, long dataRemovedBytes, long dataUsedBytes, long dataCapacityBytes, long dataActiveInBytes, + long metadataHits, long metadataMisses, long metadataHitBytes, long metadataMissBytes, long metadataEvictions, + long metadataEvictionBytes, long metadataRemoved, long metadataRemovedBytes, long metadataUsedBytes, long metadataCapacityBytes, + long metadataActiveInBytes) implements Writeable, ToXContentFragment { + + public BlockCacheTieredStats(StreamInput in) throws IOException { + this( + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong(), + in.readLong() + ); + } + + @Override + public void writeTo(StreamOutput out) throws IOException { + out.writeLong(dataHits); + out.writeLong(dataMisses); + out.writeLong(dataHitBytes); + out.writeLong(dataMissBytes); + out.writeLong(dataEvictions); + out.writeLong(dataEvictionBytes); + out.writeLong(dataRemoved); + out.writeLong(dataRemovedBytes); + out.writeLong(dataUsedBytes); + out.writeLong(dataCapacityBytes); + out.writeLong(dataActiveInBytes); + out.writeLong(metadataHits); + out.writeLong(metadataMisses); + out.writeLong(metadataHitBytes); + out.writeLong(metadataMissBytes); + out.writeLong(metadataEvictions); + out.writeLong(metadataEvictionBytes); + out.writeLong(metadataRemoved); + out.writeLong(metadataRemovedBytes); + out.writeLong(metadataUsedBytes); + out.writeLong(metadataCapacityBytes); + out.writeLong(metadataActiveInBytes); + } + + @Override + public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { + builder.startObject("data_cache_stats"); + builder.field("active_in_bytes", dataActiveInBytes); + builder.field("used_in_bytes", dataUsedBytes); + builder.field("capacity_in_bytes", dataCapacityBytes); + builder.field("evictions_in_bytes", dataEvictionBytes); + builder.field("removed_in_bytes", dataRemovedBytes); + builder.field("hit_count", dataHits); + builder.field("miss_count", dataMisses); + builder.field("hit_bytes", dataHitBytes); + builder.field("miss_bytes", dataMissBytes); + builder.field("eviction_count", dataEvictions); + builder.field("removed_count", dataRemoved); + builder.endObject(); + + builder.startObject("metadata_cache_stats"); + builder.field("active_in_bytes", metadataActiveInBytes); + builder.field("used_in_bytes", metadataUsedBytes); + builder.field("capacity_in_bytes", metadataCapacityBytes); + builder.field("evictions_in_bytes", metadataEvictionBytes); + builder.field("removed_in_bytes", metadataRemovedBytes); + builder.field("hit_count", metadataHits); + builder.field("miss_count", metadataMisses); + builder.field("hit_bytes", metadataHitBytes); + builder.field("miss_bytes", metadataMissBytes); + builder.field("eviction_count", metadataEvictions); + builder.field("removed_count", metadataRemoved); + builder.endObject(); + + return builder; + } +} diff --git a/server/src/test/java/org/opensearch/index/store/remote/filecache/NodeCacheServiceTests.java b/server/src/test/java/org/opensearch/index/store/remote/filecache/NodeCacheServiceTests.java index fbbd6157778f3..fdf5b23b2ce4b 100644 --- a/server/src/test/java/org/opensearch/index/store/remote/filecache/NodeCacheServiceTests.java +++ b/server/src/test/java/org/opensearch/index/store/remote/filecache/NodeCacheServiceTests.java @@ -13,6 +13,7 @@ import org.opensearch.plugins.BlockCache; import org.opensearch.plugins.BlockCacheProvider; import org.opensearch.plugins.BlockCacheStats; +import org.opensearch.plugins.BlockCacheTieredStats; import org.opensearch.test.OpenSearchTestCase; import java.util.Map; @@ -550,4 +551,58 @@ public void testCombinedBlockCacheStatsAggregatesAcrossMultipleCaches() { assertEquals(1536, combined.diskBytesUsed()); assertEquals(3072, combined.totalBytes()); } + + public void testCombinedBlockCacheStatsPropagatesTieredStatsFromTieredCache() { + FileCache fc = fileCacheWithStats(0L, 0L, 0L, 0L, 0L, 0L, 0L); + NodeCacheService orc = new NodeCacheService(fc, 0L); + + // Non-tiered cache (default mock → tieredStats() == null). + BlockCache singleTier = mock(BlockCache.class); + when(singleTier.stats()).thenReturn(new BlockCacheStats(10, 5, 0, 0, 0, 0, 0, 0, 0, 1024, 2048, 0)); + + // Tiered cache exposing a per-tier breakdown. + BlockCacheTieredStats tiered = sampleTieredStats(); + BlockCache tieredCache = mock(BlockCache.class); + when(tieredCache.stats()).thenReturn(new BlockCacheStats(20, 3, 0, 0, 0, 0, 0, 0, 0, 512, 1024, 0)); + when(tieredCache.tieredStats()).thenReturn(tiered); + + orc.addBlockCache(singleTier); + orc.addBlockCache(tieredCache); + + BlockCacheStats combined = orc.combinedBlockCacheStats(); + assertNotNull(combined); + assertEquals("tiered breakdown must propagate into the combined stats", tiered, combined.tieredStats()); + } + + public void testCombinedBlockCacheStatsNullTieredWhenNoCacheIsTiered() { + FileCache fc = fileCacheWithStats(0L, 0L, 0L, 0L, 0L, 0L, 0L); + NodeCacheService orc = new NodeCacheService(fc, 0L); + orc.addBlockCache(mockBlockCache(1, 0, 0, 0, 10L)); + orc.addBlockCache(mockBlockCache(2, 0, 0, 0, 20L)); + assertNull("combined tieredStats must be null when no cache is tiered", orc.combinedBlockCacheStats().tieredStats()); + } + + public void testCombinedBlockCacheStatsPicksFirstTieredWhenMultiplePresent() { + FileCache fc = fileCacheWithStats(0L, 0L, 0L, 0L, 0L, 0L, 0L); + NodeCacheService orc = new NodeCacheService(fc, 0L); + + // Two distinct (but equal-valued) instances — identity proves "first wins". + BlockCacheTieredStats first = sampleTieredStats(); + BlockCacheTieredStats second = sampleTieredStats(); + BlockCache bc1 = mock(BlockCache.class); + when(bc1.stats()).thenReturn(new BlockCacheStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1L, 0)); + when(bc1.tieredStats()).thenReturn(first); + BlockCache bc2 = mock(BlockCache.class); + when(bc2.stats()).thenReturn(new BlockCacheStats(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1L, 0)); + when(bc2.tieredStats()).thenReturn(second); + + orc.addBlockCache(bc1); + orc.addBlockCache(bc2); + + assertSame("first non-null tieredStats must win", first, orc.combinedBlockCacheStats().tieredStats()); + } + + private BlockCacheTieredStats sampleTieredStats() { + return new BlockCacheTieredStats(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22); + } } diff --git a/server/src/test/java/org/opensearch/plugins/BlockCacheStatsTests.java b/server/src/test/java/org/opensearch/plugins/BlockCacheStatsTests.java index 37ade8c3ae457..aecbdbc7542f1 100644 --- a/server/src/test/java/org/opensearch/plugins/BlockCacheStatsTests.java +++ b/server/src/test/java/org/opensearch/plugins/BlockCacheStatsTests.java @@ -8,6 +8,7 @@ package org.opensearch.plugins; +import org.opensearch.Version; import org.opensearch.common.xcontent.XContentFactory; import org.opensearch.core.common.io.stream.Writeable; import org.opensearch.core.xcontent.ToXContent; @@ -20,6 +21,7 @@ public class BlockCacheStatsTests extends AbstractWireSerializingTestCase { + + @Override + protected BlockCacheTieredStats createTestInstance() { + return new BlockCacheTieredStats( + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong(), + randomNonNegativeLong() + ); + } + + @Override + protected Writeable.Reader instanceReader() { + return BlockCacheTieredStats::new; + } + + public void testToXContentRendersDataAndMetadataSections() throws IOException { + // Field order: data hits, misses, hitBytes, missBytes, evictions, evictionBytes, + // removed, removedBytes, used, capacity, active, then same 11 for metadata. + BlockCacheTieredStats stats = new BlockCacheTieredStats( + 100, + 10, + 5000, + 500, + 2, + 200, + 3, + 300, + 8000, + 10000, + 64, + 50, + 5, + 2500, + 250, + 1, + 100, + 2, + 150, + 4000, + 5000, + 32 + ); + XContentBuilder builder = XContentFactory.jsonBuilder().startObject(); + stats.toXContent(builder, ToXContent.EMPTY_PARAMS); + builder.endObject(); + String json = builder.toString(); + assertTrue(json.contains("\"data_cache_stats\"")); + assertTrue(json.contains("\"metadata_cache_stats\"")); + } + + public void testDataCacheFields() throws IOException { + BlockCacheTieredStats stats = new BlockCacheTieredStats( + 100, + 10, + 5000, + 500, + 2, + 200, + 3, + 300, + 8000, + 10000, + 64, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ); + XContentBuilder builder = XContentFactory.jsonBuilder().startObject(); + stats.toXContent(builder, ToXContent.EMPTY_PARAMS); + builder.endObject(); + String json = builder.toString(); + assertTrue(json.contains("\"hit_count\":100")); + assertTrue(json.contains("\"miss_count\":10")); + assertTrue(json.contains("\"hit_bytes\":5000")); + assertTrue(json.contains("\"miss_bytes\":500")); + assertTrue(json.contains("\"eviction_count\":2")); + assertTrue(json.contains("\"evictions_in_bytes\":200")); + assertTrue(json.contains("\"removed_count\":3")); + assertTrue(json.contains("\"removed_in_bytes\":300")); + assertTrue(json.contains("\"used_in_bytes\":8000")); + assertTrue(json.contains("\"capacity_in_bytes\":10000")); + assertTrue(json.contains("\"active_in_bytes\":64")); + } + + public void testMetadataCacheFields() throws IOException { + BlockCacheTieredStats stats = new BlockCacheTieredStats( + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 50, + 5, + 2500, + 250, + 1, + 100, + 2, + 150, + 4000, + 5000, + 32 + ); + XContentBuilder builder = XContentFactory.jsonBuilder().startObject(); + stats.toXContent(builder, ToXContent.EMPTY_PARAMS); + builder.endObject(); + String json = builder.toString(); + assertTrue(json.contains("\"metadata_cache_stats\"")); + assertTrue("metadata hit_count", json.contains("\"hit_count\":50")); + assertTrue("metadata capacity", json.contains("\"capacity_in_bytes\":5000")); + assertTrue("metadata removed_count", json.contains("\"removed_count\":2")); + assertTrue("metadata removed_in_bytes", json.contains("\"removed_in_bytes\":150")); + } +} diff --git a/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java b/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java index 4a6c07b4c98e7..abd9ee832fd14 100644 --- a/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java +++ b/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java @@ -59,6 +59,7 @@ import static org.mockito.Mockito.inOrder; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.never; +import static org.mockito.Mockito.timeout; import static org.mockito.Mockito.verify; import static org.mockito.Mockito.when; @@ -231,7 +232,7 @@ public void testShardOperation_UncommittedOpsAfterFlush_ThrowsIOException() thro ); assertTrue("Exception message should include the count", thrown.getMessage().contains("5")); // Permit should still be released via finally block - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } /** @@ -245,7 +246,7 @@ public void testShardOperation_ReleasesPermitOnFailure() throws IOException { expectThrows(IOException.class, () -> executeShardOperation(mockIndexShard, primaryShardRouting)); // Verify permit was released despite the exception - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } /** @@ -355,8 +356,8 @@ private void executeShardOperationAsync( TimeValue effectiveTimeout = TimeValue.timeValueMillis(mergeTimeoutMillis); AtomicBoolean completed = new AtomicBoolean(false); - // Schedule timeout - Scheduler.ScheduledCancellable timeout = threadPool.schedule(() -> { + // Schedule timeout (named `timeoutTask` to avoid shadowing the Mockito.timeout static import) + Scheduler.ScheduledCancellable timeoutTask = threadPool.schedule(() -> { if (completed.compareAndSet(false, true)) { int activeMerges = indexShard.getActiveMergeCount(); boolean hasPendingMerges = indexShard.hasPendingMerges(); @@ -373,7 +374,7 @@ private void executeShardOperationAsync( // Non-blocking merge wait indexShard.onMergesDrained(() -> { if (completed.compareAndSet(false, true)) { - timeout.cancel(); + timeoutTask.cancel(); try { completeSyncAndFlushForTest(indexShard, shardRouting); listener.onResponse(null); @@ -447,7 +448,7 @@ public void onFailure(Exception e) { verify(mockIndexShard).refresh("prepare_tiering"); verify(mockIndexShard).waitForRemoteStoreSync(); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -503,7 +504,7 @@ public void onFailure(Exception e) { verify(mockIndexShard).refresh("prepare_tiering"); verify(mockIndexShard).waitForRemoteStoreSync(); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -559,7 +560,7 @@ public void onFailure(Exception e) { assertTrue("Message should report pending merges as yes", timeoutEx.getMessage().contains("pending: yes")); assertTrue("Timeout message should contain timeout value", timeoutEx.getMessage().contains("100ms")); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -729,7 +730,7 @@ public void onFailure(Exception e) { executeShardOperationAsync(mockIndexShard, primaryShardRouting, listener, testThreadPool, TimeValue.timeValueSeconds(30)); assertTrue("Listener should fire", latch.await(5, TimeUnit.SECONDS)); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -764,7 +765,7 @@ public void onFailure(Exception e) { executeShardOperationAsync(mockIndexShard, primaryShardRouting, listener, testThreadPool, TimeValue.timeValueMillis(100)); assertTrue("Listener should fire after timeout", latch.await(5, TimeUnit.SECONDS)); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -811,7 +812,7 @@ public void onFailure(Exception e) { assertNotNull("Should have received a failure", failureRef.get()); assertTrue("Should be IOException", failureRef.get() instanceof IOException); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } @@ -957,7 +958,7 @@ public void onFailure(Exception e) { assertTrue("Message should report pending merges as yes", timeoutEx.getMessage().contains("pending: yes")); assertTrue("Message should contain the configured timeout", timeoutEx.getMessage().contains("50ms")); - verify(mockPermit).close(); + verify(mockPermit, timeout(5000)).close(); } finally { terminate(testThreadPool); } From 0c4213dce5232511c318174d8b82f8f658c7c9b5 Mon Sep 17 00:00:00 2001 From: Aravind Sagar Date: Thu, 25 Jun 2026 03:57:06 +0530 Subject: [PATCH 43/94] Cancellation cleanup for analytics fragments: cooperative scan + parent-deregister cascade (#22198) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Cooperatively cancel indexed scan when query task is cancelled The indexed scan had no cancellation checkpoints, so a cancelled query kept running every remaining row group to completion. The per-row-group evaluator runs inside tokio::task::spawn_blocking (non-abortable), so the scan held and grew its native (Arrow/DataFusion) memory until natural completion. Thread the per-query CancellationToken (from the global QUERY_REGISTRY) down through IndexedTableConfig -> IndexedExec -> IndexReader and add cooperative checkpoints: - IndexReader::poll_next_row_group: bail before dispatching the next row group. - IndexReader::fetch_row_group: check before the evaluator call so a queued blocking job that starts after cancel skips its work. - IndexedStream::poll_inner: stop draining so decoded batches are released. Cancellation surfaces as a query-level DataFusionError ("query cancelled") which propagates as a clean fragment failure (never partial results). Signed-off-by: Aravind Sagar * [analytics-engine] Cancel dispatched fragments before AnalyticsQueryTask deregisters TaskManager.setBan resolves children by walking cancellableTasks and matching parent_task_id. When an AnalyticsQueryTask finishes (success, failure, or already-cancelled) and the framework unregisters it, that match no longer finds the data-node AnalyticsShardTasks that were dispatched from it. Under heavy load, those orphan fragments survive on the data node holding fragment_executor_gate permits until they complete naturally — 11+ minutes for heavy queries. Wrap the QueryScheduler user listener with an ActionListener.runBefore that calls taskManager.cancelTaskAndDescendants(queryTask, ...) immediately before the framework's onResponse/onFailure runs taskManager.unregister. The cascade fires while the parent is still registered, so setBan resolves to its alive children and cancels them. Calling cancelTaskAndDescendants on an already-cancelled task is a no-op via task.cancel's short-circuit and banedParents being keyed by TaskId. Effect under 14 QPS x 90s LIKE+groupby workload with SBP enforced, no manual cancel: drain after load end goes from ~12 min to ~1 min. Co-Authored-By: Claude Opus 4.7 (1M context) Signed-off-by: Aravind Sagar * Fix CI failures from orphan-cleanup commit - multi_segment.rs: add missing `cancellation_token: None` in the `IndexedTableConfig` literal at line 1478. The cancellation_token field was added by the earlier indexed-scan commit; this test site was missed. - QueryScheduler.java: wrap both `logger.debug(format, throwable)` calls in `ParameterizedMessage` so OpenSearchLoggerUsageChecker recognises them (it counts a trailing Throwable as a positional arg, mismatching the {} placeholder count). Co-Authored-By: Claude Opus 4.7 (1M context) Signed-off-by: Aravind Sagar * Apply spotless formatting to QueryScheduler Break the inner ActionListener.wrap across lines and collapse the outer logger.debug onto one line so spotlessJavaCheck passes. No behavior change. Co-Authored-By: Claude Opus 4.7 (1M context) Signed-off-by: Aravind Sagar --------- Signed-off-by: Aravind Sagar Co-authored-by: Claude Opus 4.7 (1M context) Co-authored-by: Bharathwaj G --- .../rust/src/indexed_executor.rs | 1 + .../rust/src/indexed_table/stream.rs | 175 +++++++++++++++++- .../rust/src/indexed_table/table_provider.rs | 6 + .../tests_e2e/constant_predicate.rs | 1 + .../tests_e2e/dynamic_filter_pushdown.rs | 1 + .../tests_e2e/fuzz/delegation.rs | 1 + .../indexed_table/tests_e2e/fuzz/harness.rs | 3 + .../rust/src/indexed_table/tests_e2e/mod.rs | 1 + .../indexed_table/tests_e2e/multi_segment.rs | 5 + .../indexed_table/tests_e2e/null_columns.rs | 1 + .../indexed_table/tests_e2e/page_pruning.rs | 1 + .../tests_e2e/qtf_fetch_phase.rs | 1 + .../tests_e2e/row_id_emission.rs | 4 + .../indexed_table/tests_e2e/schema_drift.rs | 2 + .../tests_e2e/sort_reverse_row_id.rs | 1 + .../tests_e2e/streaming_at_scale.rs | 2 + .../analytics/exec/QueryScheduler.java | 33 +++- .../analytics/exec/QuerySchedulerTests.java | 7 +- .../stage/OperationListenerCoverageTests.java | 6 +- 19 files changed, 246 insertions(+), 6 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index ce44abc777574..b57ae4f81025e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -1294,6 +1294,7 @@ async unsafe fn execute_indexed_with_context_inner( prune_tree_config, sort_fields: sort_fields.clone(), sort_orders: sort_orders.clone(), + cancellation_token: crate::query_tracker::get_cancellation_token(context_id), })); ctx.register_table(®ister_name, provider)?; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs index decb69ae21e11..8cc398758bd29 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs @@ -136,6 +136,9 @@ struct IndexReader { dynamic_prune_ctx: Option, /// Count of RGs skipped at prefetch time (before the Lucene eval). dynamic_filter_rg_pruned_at_prefetch: Option, + /// Per-query cancellation token. Checked before each row group is dispatched + /// and before the evaluator runs in a queued blocking job. `None` disables cancellation. + cancellation_token: Option, } impl IndexReader { @@ -149,6 +152,7 @@ impl IndexReader { prefetch_wait_count: Option, metadata: Option>, dynamic_filter_rg_pruned_at_prefetch: Option, + cancellation_token: Option, ) -> Self { Self { evaluator, @@ -164,9 +168,19 @@ impl IndexReader { metadata, dynamic_prune_ctx: None, dynamic_filter_rg_pruned_at_prefetch, + cancellation_token, } } + /// True when this query's task has been cancelled. Cheap (one relaxed + /// atomic load); `None` token (untracked/test) is never cancelled. + #[inline] + fn is_cancelled(&self) -> bool { + self.cancellation_token + .as_ref() + .is_some_and(|t| t.is_cancelled()) + } + /// Result of a prefetch task. `Pruned` is distinct from `Ok(None)` /// (empty candidate set): it means the dynamic filter excluded the RG /// before the Lucene eval ran, so it must be attributed to the @@ -177,10 +191,16 @@ impl IndexReader { rg_idx: usize, doc_range: Option<(i32, i32)>, prune: Option<(super::dynamic_filter::RgPruningContext, Arc)>, + cancellation_token: Option<&tokio_util::sync::CancellationToken>, ) -> std::result::Result { if rg_idx >= row_groups.len() { return Ok(PrefetchOutcome::Empty); } + // Bail before the expensive evaluator.prefetch_rg if the query was + // cancelled after this blocking job was queued but before it started. + if cancellation_token.is_some_and(|t| t.is_cancelled()) { + return Err("query cancelled".to_string()); + } let rg = row_groups[rg_idx].clone(); // Prefetch-phase dynamic-filter prune: if the snapshot-so-far proves @@ -221,8 +241,9 @@ impl IndexReader { (Some(ctx), Some(md)) => Some((ctx, Arc::clone(md))), _ => None, }; + let token = self.cancellation_token.clone(); let handle = tokio::task::spawn_blocking(move || { - Self::fetch_row_group(&evaluator, &row_groups, rg_idx, doc_range, prune) + Self::fetch_row_group(&evaluator, &row_groups, rg_idx, doc_range, prune, token.as_ref()) }); self.pending_prefetch = Some(handle); } @@ -232,6 +253,12 @@ impl IndexReader { cx: &mut Context<'_>, ) -> Poll, DataFusionError>> { loop { + // Bail before dispatching the next row group if the query is cancelled. + if self.is_cancelled() { + return Poll::Ready(Err(DataFusionError::Execution( + "query cancelled".to_string(), + ))); + } if self.current_rg_idx >= self.row_groups.len() { return Poll::Ready(Ok(None)); } @@ -359,6 +386,10 @@ pub struct IndexedExec { /// parquet statistics cannot satisfy the (tightening) predicate. `None` /// when no dynamic filter was pushed to this query. pub(crate) dynamic_filter: Option>, + /// Per-query cancellation token. When cancelled, `IndexReader` stops + /// dispatching further row groups and `IndexedStream` stops draining. + /// `None` disables cancellation checks. + pub(crate) cancellation_token: Option, } impl fmt::Debug for IndexedExec { @@ -431,6 +462,7 @@ impl ExecutionPlan for IndexedExec { self.stream_metrics.prefetch_wait_count.clone(), Some(Arc::clone(&self.metadata)), self.stream_metrics.dynamic_filter_rg_pruned_at_prefetch.clone(), + self.cancellation_token.clone(), ); Ok(Box::pin(IndexedStream::new( self.schema.clone(), @@ -849,6 +881,13 @@ impl IndexedStream { cx: &mut Context<'_>, ) -> Poll>> { loop { + // Stop draining on cancellation; surfaces as a query-level error (no partial results). + if self.index_reader.is_cancelled() { + return Poll::Ready(Some(Err(DataFusionError::Execution( + "query cancelled".to_string(), + )))); + } + // 1. Drain any completed batch from the coalescer first. if let Some(batch) = self.batch_coalescer.next_completed_batch() { if let Some(ref counter) = self.metrics.output_rows { @@ -1171,7 +1210,7 @@ impl RecordBatchStream for IndexedStream { #[cfg(test)] mod tests { use super::*; - use std::sync::atomic::{AtomicUsize, Ordering}; + use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering}; use std::sync::Arc; use std::time::Duration; @@ -1235,6 +1274,7 @@ mod tests { None, None, None, + None, ); // Poll the reader — should complete with an error within the timeout. @@ -1278,4 +1318,135 @@ mod tests { Err(e) => panic!("Tokio JoinError: {}", e), }; } + + // `spawn_blocking` jobs cannot be aborted — tokio's task abort only cancels + // async tasks at `.await` points. The tests below verify that the cancellation + // token checkpoint stops new row groups from being dispatched. + + /// Evaluator whose `prefetch_rg` busy-spins (no `.await`/sleep — genuine + /// non-yielding CPU work like a real Lucene/Arrow scan) for a fixed duration, + /// counting how many row groups it actually evaluated. + use roaring::RoaringBitmap; + + struct SpinningEvaluator { + spin: Duration, + rgs_evaluated: Arc, + } + + impl RowGroupBitsetSource for SpinningEvaluator { + fn prefetch_rg( + &self, + rg: &RowGroupInfo, + _min_doc: i32, + _max_doc: i32, + ) -> Result, String> { + // Non-yielding busy work — mirrors a synchronous scan/decode poll. + let deadline = Instant::now() + self.spin; + while Instant::now() < deadline { + std::hint::spin_loop(); + } + self.rgs_evaluated.fetch_add(1, Ordering::SeqCst); + // Produce a non-empty candidate set so the RG is "Fetched". + let mut candidates = RoaringBitmap::new(); + candidates.insert_range(0..rg.num_rows as u32); + Ok(Some(PrefetchedRg::without_context(candidates, 0))) + } + + fn on_batch_mask( + &self, + _rg_state: &dyn std::any::Any, + _rg_first_row: i64, + _position_map: &PositionMap, + _batch_offset: usize, + _batch_len: usize, + _batch: &RecordBatch, + ) -> Result, String> { + Ok(None) + } + } + + /// Cancelling mid-scan stops `poll_next_row_group` from dispatching further + /// row groups. At most one already-in-flight `spawn_blocking` job (non-abortable) + /// may still complete; total evaluated is bounded to `evaluated_at_cancel + 1`. + #[tokio::test(flavor = "multi_thread", worker_threads = 4)] + async fn cancel_stops_row_group_dispatch() { + let token = tokio_util::sync::CancellationToken::new(); + let rgs_evaluated = Arc::new(AtomicUsize::new(0)); + + let evaluator = Arc::new(SpinningEvaluator { + spin: Duration::from_millis(200), + rgs_evaluated: rgs_evaluated.clone(), + }); + + // 8 row groups × 200ms spin each = ~1.6s of work if cancellation is ignored. + let row_groups: Vec = (0..8) + .map(|i| RowGroupInfo { index: i, first_row: (i as i64) * 100, num_rows: 100 }) + .collect(); + + let mut reader = IndexReader::new( + evaluator, + row_groups, + None, + None, + None, + None, + None, + None, + Some(token.clone()), + ); + + // Drive the reader exactly like IndexedStream does. Records whether the + // reader terminated via the cancellation Err path. + let cancelled_err = Arc::new(AtomicBool::new(false)); + let cancelled_err_drv = cancelled_err.clone(); + let driver = tokio::spawn(async move { + loop { + let done = futures::future::poll_fn(|cx| match reader.poll_next_row_group(cx) { + Poll::Pending => Poll::Ready(false), + Poll::Ready(Ok(None)) => Poll::Ready(true), + Poll::Ready(Ok(Some(_))) => Poll::Ready(false), + Poll::Ready(Err(_)) => { + cancelled_err_drv.store(true, Ordering::SeqCst); + Poll::Ready(true) + } + }) + .await; + if done { + return; + } + tokio::time::sleep(Duration::from_millis(10)).await; + } + }); + + // Let a couple of row groups start evaluating, then cancel. + tokio::time::sleep(Duration::from_millis(250)).await; + let evaluated_at_cancel = rgs_evaluated.load(Ordering::SeqCst); + token.cancel(); + + tokio::time::timeout(Duration::from_secs(10), driver) + .await + .expect("reader should terminate promptly after cancel") + .expect("driver task panicked"); + + let total_evaluated = rgs_evaluated.load(Ordering::SeqCst); + + // At most one already-in-flight spawn_blocking job (non-abortable) can + // complete after cancel; all others must be skipped by the checkpoint. + assert!( + total_evaluated <= evaluated_at_cancel + 1, + "cancelled reader kept evaluating row groups: evaluated_at_cancel={}, total_evaluated={}", + evaluated_at_cancel, + total_evaluated + ); + assert!( + cancelled_err.load(Ordering::SeqCst), + "reader should terminate via the cancellation Err path" + ); + // Sanity: it did NOT run all 8 row groups. + assert!( + total_evaluated < 8, + "expected early termination, but all row groups were evaluated ({})", + total_evaluated + ); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs index 666f78d74ffc7..2dfd8edba5c4c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs @@ -206,6 +206,10 @@ pub struct IndexedTableConfig { /// matches the wire format from `DataFusionPlugin`). Same length as /// `sort_fields` (validated at index creation). pub sort_orders: Vec, + /// Per-query cancellation token (from the global `QUERY_REGISTRY`). Threaded + /// down to `IndexReader` so the scan cooperatively stops when the query task + /// is cancelled. `None` for untracked queries (`context_id == 0`) and tests. + pub cancellation_token: Option, } /// Table provider. Returns a `QueryShardExec` that fans out across chunks. @@ -699,6 +703,7 @@ impl ExecutionPlan for QueryShardExec { emit_row_ids: self.config.emit_row_ids, row_id_output_index: self.row_id_output_index, dynamic_filter: dynamic_filter.clone(), + cancellation_token: self.config.cancellation_token.clone(), }; streams.push(exec.execute(0, Arc::clone(&context))?); } @@ -828,6 +833,7 @@ mod tests { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs index b23d9de2955fc..8a77f54d6e038 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs @@ -118,6 +118,7 @@ async fn run_constant_residual(residual: Arc) -> usize { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs index 1974cfb33418b..7c9ace9b3bd00 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs @@ -189,6 +189,7 @@ async fn run_indexed( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs index e27e3a3a6f103..6044278e795df 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs @@ -473,6 +473,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_delegation_tree( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs index 6991c9c758c9c..4b0148cb45843 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs @@ -310,6 +310,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown )), sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -496,6 +497,7 @@ async fn run_single_collector_query( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); @@ -712,6 +714,7 @@ async fn run_with_factory_plan( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs index dd443908029d2..3367266d8e97e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs @@ -305,6 +305,7 @@ async fn run_tree_and_plan( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs index 2ceff34d8b907..cdf577b3bf00a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs @@ -192,6 +192,7 @@ async fn run_two_segment_query( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -405,6 +406,7 @@ async fn run_two_segment_query_witness( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -616,6 +618,7 @@ async fn run_segments(specs: Vec, num_partitions: usize) -> Vec<(i32, S prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -1125,6 +1128,7 @@ async fn run_wide_segments( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -1484,6 +1488,7 @@ async fn run_wide_segments_with_stats_pruning( prune_tree_config: Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema.clone())), sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs index 400b8747e9fab..f799c0a746f82 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs @@ -388,6 +388,7 @@ async fn assert_engine_matches_reference_null(name: &str, tree: NT) { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs index 90a9cae809066..e27bbc13c9302 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs @@ -402,6 +402,7 @@ async fn execute_and_collect( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs index 65dc75c0a80ae..4e8010caae8ab 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs @@ -129,6 +129,7 @@ async fn query_phase(tree: BoolNode) -> Vec { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs index 9f2621948eebb..1325ebd4afa00 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs @@ -119,6 +119,7 @@ async fn run_tree_row_ids(tree: BoolNode) -> Vec { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -289,6 +290,7 @@ async fn run_tree_row_ids_with_global_base(tree: BoolNode, global_base: u64) -> prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -557,6 +559,7 @@ async fn test_row_id_with_data_columns() { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -812,6 +815,7 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs index 4d915ecd86637..d6a1732112889 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs @@ -143,6 +143,7 @@ async fn run_missing_col_tree(tree_bool: BoolNode) -> usize { prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); @@ -456,6 +457,7 @@ async fn query_with_mismatched_schema( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs index d277d691b1a3d..26afc76f1e5ed 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs @@ -235,6 +235,7 @@ async fn collect_row_ids( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs index 564637b026f94..4677f83a26916 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs @@ -460,6 +460,7 @@ async fn run_large( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); @@ -917,6 +918,7 @@ async fn run_large_partitioned( prune_tree_config: None, sort_fields: vec![], sort_orders: vec![], + cancellation_token: None, })); let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java index 3c55e7749fc96..65787247c0871 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java @@ -11,6 +11,7 @@ import org.apache.arrow.vector.VectorSchemaRoot; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.apache.logging.log4j.message.ParameterizedMessage; import org.opensearch.analytics.backend.AnalyticsOperationListener; import org.opensearch.analytics.exec.stage.StageExecution; import org.opensearch.analytics.exec.stage.StageExecutionBuilder; @@ -20,6 +21,8 @@ import org.opensearch.analytics.exec.task.TaskRunner; import org.opensearch.common.inject.Inject; import org.opensearch.core.action.ActionListener; +import org.opensearch.tasks.TaskManager; +import org.opensearch.transport.TransportService; import java.util.Map; import java.util.Optional; @@ -36,11 +39,13 @@ public class QueryScheduler implements Scheduler { private static final Logger logger = LogManager.getLogger(QueryScheduler.class); private final StageExecutionBuilder stageExecutionBuilder; + private final TaskManager taskManager; private final Map executions = new ConcurrentHashMap<>(); @Inject - public QueryScheduler(StageExecutionBuilder stageExecutionBuilder) { + public QueryScheduler(StageExecutionBuilder stageExecutionBuilder, TransportService transportService) { this.stageExecutionBuilder = stageExecutionBuilder; + this.taskManager = transportService.getTaskManager(); } @Override @@ -50,6 +55,7 @@ public QueryExecution execute(QueryContext context, ActionListener { opListener.onQueryFailure(queryId, e); listener.onFailure(e); - }), () -> executions.remove(queryId)); + }), () -> { + executions.remove(queryId); + // Cascade a cancel to dispatched data-node fragments before the framework unregisters + // the parent task. Otherwise TaskManager.setBan, which matches children by parent + // TaskId in the cancellable-tasks registry, cannot reach fragments after the parent + // has been unregistered — they survive into orphan state and run to natural + // completion. Idempotent against the already-cancelled path. + try { + taskManager.cancelTaskAndDescendants( + queryTask, + "analytics query terminal — cleaning up dispatched fragments", + false, + ActionListener.wrap( + v -> {}, + ex -> logger.debug( + new ParameterizedMessage("[QueryScheduler] orphan-cleanup cancel failed for queryId={}", queryId), + ex + ) + ) + ); + } catch (Exception ex) { + logger.debug(new ParameterizedMessage("[QueryScheduler] orphan-cleanup invocation failed for queryId={}", queryId), ex); + } + }); QueryExecution execution = new QueryExecution(context, graph, this::scheduleStage, wrapped); executions.put(queryId, execution); diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java index 68ac11fd456dc..fcbc2d96ecc67 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java @@ -19,7 +19,9 @@ import org.opensearch.analytics.exec.task.TaskRunner; import org.opensearch.analytics.planner.dag.ExecutionTarget; import org.opensearch.core.action.ActionListener; +import org.opensearch.tasks.TaskManager; import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.transport.TransportService; import java.util.ArrayList; import java.util.List; @@ -28,6 +30,7 @@ import java.util.concurrent.atomic.AtomicReference; import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.when; /** * Unit tests for {@link QueryScheduler#scheduleStage} and {@link QueryScheduler#handleFor}. @@ -41,7 +44,9 @@ public class QuerySchedulerTests extends OpenSearchTestCase { @Override public void setUp() throws Exception { super.setUp(); - scheduler = new QueryScheduler(mock(StageExecutionBuilder.class)); + TransportService transportService = mock(TransportService.class); + when(transportService.getTaskManager()).thenReturn(mock(TaskManager.class)); + scheduler = new QueryScheduler(mock(StageExecutionBuilder.class), transportService); } /** Happy path: scheduler iterates tasks, transitions each to RUNNING, runs them. */ diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/OperationListenerCoverageTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/OperationListenerCoverageTests.java index d770ea2b77242..6429585b6de50 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/OperationListenerCoverageTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/stage/OperationListenerCoverageTests.java @@ -21,7 +21,9 @@ import org.opensearch.cluster.service.ClusterService; import org.opensearch.core.action.ActionListener; import org.opensearch.core.tasks.TaskId; +import org.opensearch.tasks.TaskManager; import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.transport.TransportService; import java.util.ArrayList; import java.util.Collections; @@ -161,7 +163,9 @@ private void executeViaScheduler( ); QueryDAG dag = new QueryDAG("q-test", rootStage); QueryContext ctx = QueryContext.forTest(dag, task, listeners); - new QueryScheduler(builder).execute(ctx, userListener); + TransportService transportService = mock(TransportService.class); + when(transportService.getTaskManager()).thenReturn(mock(TaskManager.class)); + new QueryScheduler(builder, transportService).execute(ctx, userListener); } private static Stage stageWithId(int id) { From 79d8e1e219e34dcd92cfac7f2e90bbd309d7eba9 Mon Sep 17 00:00:00 2001 From: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> Date: Thu, 25 Jun 2026 04:48:00 +0530 Subject: [PATCH 44/94] [DFAE] Move single doc validation to mapper parsing rather than indexing (#22298) * Fix single value checks for parquet format Signed-off-by: Mohit Godwani * Fix test Signed-off-by: Mohit Godwani * Fix test Signed-off-by: Mohit Godwani --------- Signed-off-by: Mohit Godwani --- .../opensearch/parquet/vsr/VSRManager.java | 19 +++------------ .../parquet/writer/ParquetDocumentInput.java | 9 +++++++ .../parquet/vsr/VSRManagerTests.java | 24 ------------------- .../writer/ParquetDocumentInputTests.java | 12 ++++++++++ 4 files changed, 24 insertions(+), 40 deletions(-) diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java index ea65e1ad798b5..35204ae596c58 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/vsr/VSRManager.java @@ -19,7 +19,6 @@ import org.opensearch.index.engine.dataformat.DocumentInput; import org.opensearch.index.engine.dataformat.RowIdMapping; import org.opensearch.index.mapper.MappedFieldType; -import org.opensearch.index.mapper.MapperParsingException; import org.opensearch.nativebridge.spi.ArrowExport; import org.opensearch.parquet.ParquetDataFormatPlugin; import org.opensearch.parquet.bridge.NativeParquetWriter; @@ -35,9 +34,6 @@ import org.opensearch.threadpool.ThreadPool; import java.io.IOException; -import java.util.Collections; -import java.util.IdentityHashMap; -import java.util.Set; import java.util.concurrent.Future; import java.util.concurrent.TimeUnit; import java.util.concurrent.TimeoutException; @@ -189,14 +185,11 @@ public VSRManager( * Transfers collected fields from the document input into the active VSR * using the ArrowFieldRegistry to resolve typed vector writes. *

      - * Enforces single-value semantics: if the same {@link MappedFieldType} instance - * appears more than once in the document's field list, a {@link MapperParsingException} - * is thrown. Identity equality (reference {@code ==}) is used because the mapper - * service reuses field type instances — the same instance appearing twice indicates - * a multi-value field, which columnar formats do not support. + * Single-value semantics are enforced at the {@link ParquetDocumentInput} layer: + * if an array field produces multiple values for the same field type, only the + * last value is retained (last-value-wins). * * @param doc the document input containing field-value pairs - * @throws MapperParsingException if a field appears more than once in the document */ public void addDocument(ParquetDocumentInput doc) throws IOException { if (pendingWrite != null && pendingWrite.isDone()) { @@ -216,14 +209,8 @@ public void addDocument(ParquetDocumentInput doc) throws IOException { ); } ManagedVSR activeVSR = managedVSR.get(); - Set dedup = Collections.newSetFromMap(new IdentityHashMap<>()); for (FieldValuePair pair : doc.getFinalInput()) { MappedFieldType fieldType = pair.getFieldType(); - if (dedup.add(fieldType) == false) { - throw new MapperParsingException( - "Cannot accept multiple values for field: [" + fieldType.name() + "] of type: [" + fieldType.typeName() + "]." - ); - } ParquetField parquetField = ArrowFieldRegistry.getParquetField(fieldType.typeName()); if (parquetField == null) { // Defense-in-depth: schema reconciliation is supposed to happen in diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/writer/ParquetDocumentInput.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/writer/ParquetDocumentInput.java index 7832b4f990f90..3429c030266fc 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/writer/ParquetDocumentInput.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/writer/ParquetDocumentInput.java @@ -15,11 +15,14 @@ import org.opensearch.index.engine.exec.PrimaryTermFieldType; import org.opensearch.index.mapper.IdFieldMapper; import org.opensearch.index.mapper.MappedFieldType; +import org.opensearch.index.mapper.MapperParsingException; import org.opensearch.index.mapper.SeqNoFieldMapper; import org.opensearch.index.mapper.VersionFieldMapper; import org.opensearch.parquet.ParquetDataFormatPlugin; import java.util.ArrayList; +import java.util.Collections; +import java.util.IdentityHashMap; import java.util.List; import java.util.Set; @@ -37,6 +40,7 @@ public class ParquetDocumentInput implements DocumentInput> private static final Logger logger = LogManager.getLogger(ParquetDocumentInput.class); private final List collectedFields = new ArrayList<>(); + private final Set dedup = Collections.newSetFromMap(new IdentityHashMap<>()); private long rowId = -1; private boolean isClosed = false; @@ -50,6 +54,11 @@ public void addField(MappedFieldType fieldType, Object value) { logger.trace("Ignored to add field: {} {}", fieldType.name(), fieldType.getCapabilityMap()); return; } + if (dedup.add(fieldType) == false) { + throw new MapperParsingException( + "Cannot accept multiple values for field: [" + fieldType.name() + "] of type: [" + fieldType.typeName() + "]." + ); + } collectedFields.add(new FieldValuePair(fieldType, value)); } diff --git a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/vsr/VSRManagerTests.java b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/vsr/VSRManagerTests.java index 6cd2ca71ec720..17bcbd9f543ec 100644 --- a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/vsr/VSRManagerTests.java +++ b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/vsr/VSRManagerTests.java @@ -22,7 +22,6 @@ import org.opensearch.index.engine.dataformat.DataFormat; import org.opensearch.index.engine.dataformat.DocumentInput; import org.opensearch.index.mapper.KeywordFieldMapper; -import org.opensearch.index.mapper.MapperParsingException; import org.opensearch.index.mapper.NumberFieldMapper; import org.opensearch.parquet.ParquetBaseTests; import org.opensearch.parquet.ParquetDataFormatPlugin; @@ -585,29 +584,6 @@ public void testContinuousAddDocumentAcrossMultipleRotationsWithoutWaiting() thr assertEquals(totalDocs, metadata.numRows()); } - public void testRejectsDuplicateFieldInSingleDocument() throws Exception { - List fields = new ArrayList<>(); - fields.addAll(metadataFields()); - fields.add(new Field("val", FieldType.nullable(new ArrowType.Int(32, true)), null)); - schema = new Schema(fields); - - String filePath = createTempDir().resolve("dedup.parquet").toString(); - VSRManager manager = new VSRManager(filePath, indexSettings, schema, bufferPool, 50000, threadPool, 0L); - - NumberFieldMapper.NumberFieldType valField = new NumberFieldMapper.NumberFieldType("val", NumberFieldMapper.NumberType.INTEGER); - assignTestCapabilities(valField, PARQUET_FORMAT); - - ParquetDocumentInput doc = new ParquetDocumentInput(); - populateMetadataFields(doc); - doc.addField(valField, 10); - doc.addField(valField, 20); // same field instance — multi-value - - doc.setRowId(DocumentInput.ROW_ID_FIELD, 0); - MapperParsingException e = expectThrows(MapperParsingException.class, () -> manager.addDocument(doc)); - assertTrue(e.getMessage().contains("Cannot accept multiple values for field: [val]")); - manager.close(); - } - public void testAllowsDistinctFieldsInSingleDocument() throws Exception { List fields = new ArrayList<>(); fields.addAll(metadataFields()); diff --git a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/writer/ParquetDocumentInputTests.java b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/writer/ParquetDocumentInputTests.java index 8fb9f82a3ae2d..0fd5ec545326b 100644 --- a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/writer/ParquetDocumentInputTests.java +++ b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/writer/ParquetDocumentInputTests.java @@ -12,6 +12,7 @@ import org.opensearch.index.engine.dataformat.DocumentInput; import org.opensearch.index.mapper.KeywordFieldMapper; import org.opensearch.index.mapper.MappedFieldType; +import org.opensearch.index.mapper.MapperParsingException; import org.opensearch.index.mapper.NumberFieldMapper; import org.opensearch.parquet.ParquetBaseTests; import org.opensearch.parquet.engine.ParquetDataFormat; @@ -74,4 +75,15 @@ public void testCloseClearsState() { input.close(); assertTrue(input.getFinalInput().isEmpty()); } + + public void testRejectsDuplicateFieldInSingleDocument() throws Exception { + ParquetDocumentInput input = new ParquetDocumentInput(); + populateMetadataFields(input); + + NumberFieldMapper.NumberFieldType valField = new NumberFieldMapper.NumberFieldType("val", NumberFieldMapper.NumberType.INTEGER); + assignTestCapabilities(valField, PARQUET_FORMAT); + + input.addField(valField, 10); + expectThrows(MapperParsingException.class, () -> input.addField(valField, 20)); + } } From ded0342c6b7c61c2e5be75d9f8df529bfea3dbb5 Mon Sep 17 00:00:00 2001 From: Tejas Shah Date: Wed, 24 Jun 2026 17:00:35 -0700 Subject: [PATCH 45/94] =?UTF-8?q?bugfix:=20Fix=20NestedQueryBuilder=20visi?= =?UTF-8?q?t=20to=20recursively=20visit=20child=20query=E2=80=A6=20(#22196?= =?UTF-8?q?)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * bugfix: Fix NestedQueryBuilder visit to recursively visit child query tree Previously, visit() only called accept() on the immediate child query, which skipped recursion into deeper nested queries. Now it calls query.visit(subVisitor) to ensure the entire subtree is traversed. Signed-off-by: Tejas Shah * Handles null subvisitor Signed-off-by: Tejas Shah * Add test for null child visitor to improve patch coverage Signed-off-by: Tejas Shah --------- Signed-off-by: Tejas Shah --- .../index/query/NestedQueryBuilder.java | 5 ++- .../index/query/NestedQueryBuilderTests.java | 38 +++++++++++++++++++ 2 files changed, 42 insertions(+), 1 deletion(-) diff --git a/server/src/main/java/org/opensearch/index/query/NestedQueryBuilder.java b/server/src/main/java/org/opensearch/index/query/NestedQueryBuilder.java index e3294ebc4376f..753cb57c9a8dc 100644 --- a/server/src/main/java/org/opensearch/index/query/NestedQueryBuilder.java +++ b/server/src/main/java/org/opensearch/index/query/NestedQueryBuilder.java @@ -517,7 +517,10 @@ public ObjectMapper getChildObjectMapper() { public void visit(QueryBuilderVisitor visitor) { visitor.accept(this); if (query != null) { - visitor.getChildVisitor(BooleanClause.Occur.MUST).accept(query); + final QueryBuilderVisitor subVisitor = visitor.getChildVisitor(BooleanClause.Occur.MUST); + if (subVisitor != null) { + query.visit(subVisitor); + } } } } diff --git a/server/src/test/java/org/opensearch/index/query/NestedQueryBuilderTests.java b/server/src/test/java/org/opensearch/index/query/NestedQueryBuilderTests.java index 435e529325646..79a18d4319135 100644 --- a/server/src/test/java/org/opensearch/index/query/NestedQueryBuilderTests.java +++ b/server/src/test/java/org/opensearch/index/query/NestedQueryBuilderTests.java @@ -585,4 +585,42 @@ public void testVisit() { assertEquals(2, visitedQueries.size()); } + + public void testVisitRecursivelyVisitsNestedChildren() { + BoolQueryBuilder boolQuery = new BoolQueryBuilder().must(new MatchAllQueryBuilder()).filter(new TermQueryBuilder("field", "value")); + NestedQueryBuilder builder = new NestedQueryBuilder("path", boolQuery, ScoreMode.None); + + List visitedQueries = new ArrayList<>(); + builder.visit(createTestVisitor(visitedQueries)); + + // Should visit: NestedQueryBuilder, BoolQueryBuilder, MatchAllQueryBuilder, TermQueryBuilder + assertEquals(4, visitedQueries.size()); + assertThat(visitedQueries.get(0), instanceOf(NestedQueryBuilder.class)); + assertThat(visitedQueries.get(1), instanceOf(BoolQueryBuilder.class)); + assertThat(visitedQueries.get(2), instanceOf(MatchAllQueryBuilder.class)); + assertThat(visitedQueries.get(3), instanceOf(TermQueryBuilder.class)); + } + + public void testVisitWithNullChildVisitor() { + NestedQueryBuilder builder = new NestedQueryBuilder("path", new MatchAllQueryBuilder(), ScoreMode.None); + + List visitedQueries = new ArrayList<>(); + QueryBuilderVisitor visitor = new QueryBuilderVisitor() { + @Override + public void accept(QueryBuilder qb) { + visitedQueries.add(qb); + } + + @Override + public QueryBuilderVisitor getChildVisitor(BooleanClause.Occur occur) { + return null; + } + }; + builder.visit(visitor); + + // Should only visit the NestedQueryBuilder itself, not recurse into children + assertEquals(1, visitedQueries.size()); + assertThat(visitedQueries.get(0), instanceOf(NestedQueryBuilder.class)); + } + } From a7c306f21f0432e82283d80054af6f636d7b69e4 Mon Sep 17 00:00:00 2001 From: Somesh Gupta <35426854+aasom143@users.noreply.github.com> Date: Thu, 25 Jun 2026 10:23:48 +0530 Subject: [PATCH 46/94] refactor: Eliminate deep clone of BoolNode and extract prune_tree_config into match arms (#22267) - Change ExtractionResult.tree from BoolNode to Arc to avoid deep cloning the tree when building prune_tree_config. None and SingleCollector paths now use Arc::clone (O(1)), Tree path uses Arc::try_unwrap for zero-cost ownership transfer. - Add build_prune_tree_config utility that encapsulates collect_predicate_exprs + per-leaf build_pruning_predicate, used by None and SingleCollector arms. - Move prune_tree_config construction into each EvaluatorFactory match arm, removing the mut variable. Tree arm reuses its existing pruning_predicates directly. Signed-off-by: Somesh Gupta --- .../rust/src/indexed_executor.rs | 74 ++++++++++++------- .../src/indexed_table/substrait_to_tree.rs | 26 +++---- 2 files changed, 61 insertions(+), 39 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index b57ae4f81025e..5ec148c0e8ff8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -262,12 +262,24 @@ fn collect_predicate_exprs(tree: &BoolNode, out: &mut Vec> } } +/// Collect leaf predicate exprs from the extraction tree in a single traversal. +fn collect_leaf_exprs(extraction: Option<&ExtractionResult>) -> Vec> { + let Some(e) = extraction else { return vec![] }; + let mut exprs = Vec::new(); + collect_predicate_exprs(&e.tree, &mut exprs); + exprs +} + fn collect_predicate_column_indices(extraction: Option<&ExtractionResult>) -> Vec { let Some(e) = extraction else { return vec![] }; let mut exprs = Vec::new(); collect_predicate_exprs(&e.tree, &mut exprs); + collect_predicate_column_indices_from_exprs(&exprs) +} + +fn collect_predicate_column_indices_from_exprs(exprs: &[Arc]) -> Vec { let mut indices = HashSet::new(); - for expr in &exprs { + for expr in exprs { let _ = expr.apply(|node| { if let Some(col) = node.downcast_ref::() { indices.insert(col.index()); @@ -327,6 +339,26 @@ fn collect_plan_column_names(plan: &datafusion::logical_expr::LogicalPlan) -> Ve names.into_iter().collect() } +/// Build the `prune_tree_config` tuple from a BoolNode tree and schema. +/// Builds per-leaf PruningPredicates from pre-collected leaf exprs. +fn build_prune_tree_config( + tree: &Arc, + schema: &SchemaRef, + leaf_exprs: &[Arc], +) -> Option<(Arc, Arc>>, SchemaRef)> { + let leaf_predicates: HashMap> = leaf_exprs + .iter() + .filter_map(|expr| { + build_pruning_predicate(expr, Arc::clone(schema)) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(); + if leaf_predicates.is_empty() { + return None; + } + Some((Arc::clone(tree), Arc::new(leaf_predicates), Arc::clone(schema))) +} + /// For a tree classified as `SingleCollector`, walk it to find the single /// Collector leaf and return its query bytes. fn single_collector_id(tree: &BoolNode) -> Option { @@ -955,23 +987,9 @@ async unsafe fn execute_indexed_with_context_inner( FilterClass::Tree => None, }; - let mut prune_tree_config = extraction.as_ref().and_then(|e| { - let mut leaf_exprs: Vec> = Vec::new(); - collect_predicate_exprs(&e.tree, &mut leaf_exprs); - let leaf_predicates: HashMap> = leaf_exprs - .iter() - .filter_map(|expr| { - build_pruning_predicate(expr, schema.clone()) - .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) - }) - .collect(); - if leaf_predicates.is_empty() { - return None; - } - Some((Arc::new(e.tree.clone()), Arc::new(leaf_predicates), schema.clone())) - }); + let leaf_exprs = collect_leaf_exprs(extraction.as_ref()); - let predicate_columns = collect_predicate_column_indices(extraction.as_ref()); + let predicate_columns = collect_predicate_column_indices_from_exprs(&leaf_exprs); // Augment each segment's footer-only metadata with a scoped page index so // the indexed PagePruner can page-prune. Both predicate (→ ColumnIndex) and @@ -1007,7 +1025,7 @@ async unsafe fn execute_indexed_with_context_inner( } } - let factory: EvaluatorFactory = match classification { + let (factory, prune_tree_config): (EvaluatorFactory, _) = match classification { FilterClass::None => { // Predicate-only scan: page-pruned universe, residual applied in // on_batch_mask. Also covers an unfoldable constant (e.g. mktime('...') > @@ -1015,6 +1033,9 @@ async unsafe fn execute_indexed_with_context_inner( // residual (pushdown is Exact, so DataFusion drops the FilterExec). // Previously errored here when emit_row_ids was false (indexed path only). let schema_for_pruner = schema.clone(); + let prune_tree_config = extraction + .as_ref() + .and_then(|e| build_prune_tree_config(&e.tree, &schema_for_pruner, &leaf_exprs)); let residual_expr: Option> = extraction.as_ref().and_then(|e| { residual_bool_to_physical_expr(&e.tree) }); @@ -1022,7 +1043,7 @@ async unsafe fn execute_indexed_with_context_inner( .as_ref() .and_then(|expr| build_pruning_predicate(expr, Arc::clone(&schema_for_pruner))); - Arc::new( + (Arc::new( move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { let pruner = Arc::new(PagePruner::new( &schema_for_pruner, @@ -1041,7 +1062,7 @@ async unsafe fn execute_indexed_with_context_inner( )); Ok(eval) }, - ) + ), prune_tree_config) } FilterClass::SingleCollector => { let extraction = extraction.as_ref().ok_or_else(|| { @@ -1050,6 +1071,7 @@ async unsafe fn execute_indexed_with_context_inner( ) })?; let schema_for_pruner = schema.clone(); + let prune_tree_config = build_prune_tree_config(&extraction.tree, &schema_for_pruner, &leaf_exprs); // Correctness-delegated provider (eager). `None` when the query has only // performance-delegated leaves and no Collector at all. @@ -1101,7 +1123,7 @@ async unsafe fn execute_indexed_with_context_inner( let call_strategy = CollectorCallStrategy::PageRangeSplit; let bloom_store = Arc::clone(&store); let bloom_schema = schema.clone(); - Arc::new( + (Arc::new( move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { let collector_opt: Option> = match &correctness_provider { Some(provider) => { @@ -1160,7 +1182,7 @@ async unsafe fn execute_indexed_with_context_inner( )); Ok(eval) }, - ) + ), prune_tree_config) } FilterClass::Tree => { let extraction = extraction.ok_or_else(|| { @@ -1172,7 +1194,7 @@ async unsafe fn execute_indexed_with_context_inner( // same-kind connectives. Flatten after push_not_down so the // connective changes from De Morgan (e.g. NOT(AND(...)) -> OR(NOT...)) // get absorbed into the surrounding Or if applicable. - let tree = extraction.tree.push_not_down().flatten(); + let tree = Arc::try_unwrap(extraction.tree).unwrap().push_not_down().flatten(); // One provider per Collector leaf (DFS order). let leaf_ids = tree.collector_leaves(); let mut providers: Vec> = Vec::with_capacity(leaf_ids.len()); @@ -1211,13 +1233,13 @@ async unsafe fn execute_indexed_with_context_inner( // Build prune_tree_config from the normalized tree. This ensures // StatsPruneTree children indices align with ResolvedNode children // (same push_not_down + flatten normalization applied above). - prune_tree_config = if pruning_predicates.is_empty() { + let prune_tree_config = if pruning_predicates.is_empty() { None } else { Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema_for_pruner.clone())) }; - Arc::new( + (Arc::new( move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { // Build one collector per Collector leaf for this chunk. let mut per_leaf: Vec<(i32, Arc)> = @@ -1267,7 +1289,7 @@ async unsafe fn execute_indexed_with_context_inner( }); Ok(eval) }, - ) + ), prune_tree_config) } }; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs index a71901636d0ad..169a3a7d8f008 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs @@ -85,7 +85,7 @@ pub enum FilterClass { /// now that `Predicate` leaves carry `Arc` directly. #[derive(Debug)] pub struct ExtractionResult { - pub tree: BoolNode, + pub tree: Arc, } /// Extract the scan-level filter from a logical plan, skipping HAVING/window @@ -149,7 +149,7 @@ pub fn expr_to_bool_tree( } else { tree }; - Ok(ExtractionResult { tree }) + Ok(ExtractionResult { tree: Arc::new(tree) }) } fn convert_expr( @@ -515,7 +515,7 @@ mod tests { fn simple_predicate() { let expr = col("price").gt(lit(100i32)); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Predicate(_))); + assert!(matches!(*r.tree, BoolNode::Predicate(_))); } #[test] @@ -527,35 +527,35 @@ mod tests { Box::new(col("price")), )); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Predicate(_))); + assert!(matches!(*r.tree, BoolNode::Predicate(_))); } #[test] fn and_of_predicates() { let expr = col("price").gt(lit(100i32)).and(col("qty").lt(lit(50i32))); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::And(_))); + assert!(matches!(*r.tree, BoolNode::And(_))); } #[test] fn not_predicate() { let expr = Expr::Not(Box::new(col("active").eq(lit(true)))); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Not(_))); + assert!(matches!(*r.tree, BoolNode::Not(_))); } #[test] fn in_list_expression_is_accepted() { let expr = col("price").in_list(vec![lit(5i32), lit(10i32), lit(15i32)], false); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Predicate(_))); + assert!(matches!(*r.tree, BoolNode::Predicate(_))); } #[test] fn is_null_expression_is_accepted() { let expr = Expr::IsNull(Box::new(col("price"))); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Predicate(_))); + assert!(matches!(*r.tree, BoolNode::Predicate(_))); } #[test] @@ -565,9 +565,9 @@ mod tests { let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); // BETWEEN may desugar into And internally or stay as-is; either // shape is accepted so long as the result is boolean-valued. - match r.tree { + match *r.tree { BoolNode::Predicate(_) | BoolNode::And(_) => {} - other => panic!("expected Predicate or And, got {:?}", other), + ref other => panic!("expected Predicate or And, got {:?}", other), } } @@ -576,7 +576,7 @@ mod tests { // (price + 10) > 100 — our old converter would reject this. let expr = (col("price") + lit(10i32)).gt(lit(100i32)); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::Predicate(_))); + assert!(matches!(*r.tree, BoolNode::Predicate(_))); } #[test] @@ -597,7 +597,7 @@ mod tests { vec![lit(ScalarValue::Int32(Some(42)))], )); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - match r.tree { + match *r.tree { BoolNode::Collector { annotation_id } => { assert_eq!(annotation_id, 42); } @@ -621,7 +621,7 @@ mod tests { Box::new(or_branch), )); let r = expr_to_bool_tree(&expr, &test_schema(), &test_state()).unwrap(); - assert!(matches!(r.tree, BoolNode::And(_))); + assert!(matches!(*r.tree, BoolNode::And(_))); } // ── classify_filter ────────────────────────────────────────────── From ac8d27dc5e00ff3d8243b67eafb0ccccfda1bed6 Mon Sep 17 00:00:00 2001 From: Finn Date: Wed, 24 Jun 2026 22:19:05 -0700 Subject: [PATCH 47/94] Fix FGAC bypass on multi-index PPL queries (#22314) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit PPL multi-source queries (source=idx1,idx2) produce a single TableScan with a comma-delimited table name. RelNodeUtils.extractIndices() was returning this as one array element (e.g. ["idx1,idx2"]) causing the security filter to see a single non-existent index name, resolve to zero concrete indices, and skip permission evaluation entirely. Fix: split comma-delimited table names using Strings.splitStringByCommaToArray() — the same utility used by IndexResolution in the planner — so each index is extracted as a separate entry. The security filter then evaluates permissions on each index independently and correctly denies unauthorized access. Reproduction: with cluster.pluggable.dataformat=composite, a user with logs-* permissions could query source=logs-2024-01,secrets-2024-01 and bypass FGAC because the joined string passed through security unchecked. Signed-off-by: Finnegan Carroll Signed-off-by: Finn Carroll --- .../analytics/planner/RelNodeUtils.java | 11 ++- .../analytics/planner/RelNodeUtilsTests.java | 68 +++++++++++++++++++ 2 files changed, 78 insertions(+), 1 deletion(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java index 58f593bed8657..a7dd2a4a24030 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/RelNodeUtils.java @@ -35,6 +35,7 @@ import org.opensearch.analytics.planner.rel.OpenSearchUnion; import org.opensearch.analytics.planner.rel.OpenSearchValues; import org.opensearch.analytics.spi.FieldStorageInfo; +import org.opensearch.core.common.Strings; import java.util.ArrayList; import java.util.HashSet; @@ -230,7 +231,15 @@ private static boolean collectIndices(RelNode node, java.util.Set indice } if (node instanceof TableScan scan) { java.util.List names = scan.getTable().getQualifiedName(); - indices.add(names.get(names.size() - 1)); + String tableName = names.get(names.size() - 1); + // PPL multi-source queries (source=a,b) produce a single TableScan with a + // comma-delimited table name. Split so each index is evaluated independently + // by the security filter — same logic as IndexResolution. + for (String idx : Strings.splitStringByCommaToArray(tableName)) { + if (!idx.isEmpty()) { + indices.add(idx); + } + } } for (RelNode input : node.getInputs()) { if (!collectIndices(input, indices, depth + 1)) { diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/RelNodeUtilsTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/RelNodeUtilsTests.java index 4f62526c358e8..f399ed781a30a 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/RelNodeUtilsTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/RelNodeUtilsTests.java @@ -151,6 +151,74 @@ public void testDepthGuardThrowsOnExcessiveDepth() { assertTrue(e.getMessage().contains("maximum depth")); } + // --- Multi-index comma-separated table name tests (FGAC bypass fix) --- + + public void testCommaDelimitedIndicesSplit() { + RelBuilder b = builderWithTable("logs-2024-01,secrets-2024-01"); + RelNode plan = b.scan("logs-2024-01,secrets-2024-01").build(); + assertArrayEquals(new String[] { "logs-2024-01", "secrets-2024-01" }, RelNodeUtils.extractIndices(plan)); + } + + public void testCommaDelimitedThreeIndices() { + RelBuilder b = builderWithTable("a,b,c"); + RelNode plan = b.scan("a,b,c").build(); + assertArrayEquals(new String[] { "a", "b", "c" }, RelNodeUtils.extractIndices(plan)); + } + + public void testDoubleCommaProducesEmptyStringFiltered() { + RelBuilder b = builderWithTable("index1,,index2"); + RelNode plan = b.scan("index1,,index2").build(); + // Strings.splitStringByCommaToArray trims and skips empty tokens + String[] result = RelNodeUtils.extractIndices(plan); + for (String idx : result) { + assertFalse("Should not contain empty string", idx.isEmpty()); + } + assertTrue("Should contain index1", java.util.Arrays.asList(result).contains("index1")); + assertTrue("Should contain index2", java.util.Arrays.asList(result).contains("index2")); + } + + public void testLeadingComma() { + RelBuilder b = builderWithTable(",index1"); + RelNode plan = b.scan(",index1").build(); + String[] result = RelNodeUtils.extractIndices(plan); + for (String idx : result) { + assertFalse("Should not contain empty string", idx.isEmpty()); + } + assertTrue("Should contain index1", java.util.Arrays.asList(result).contains("index1")); + } + + public void testDoubleLeadingComma() { + RelBuilder b = builderWithTable(",,index1"); + RelNode plan = b.scan(",,index1").build(); + String[] result = RelNodeUtils.extractIndices(plan); + for (String idx : result) { + assertFalse("Should not contain empty string", idx.isEmpty()); + } + assertTrue("Should contain index1", java.util.Arrays.asList(result).contains("index1")); + } + + public void testTrailingComma() { + RelBuilder b = builderWithTable("index1,"); + RelNode plan = b.scan("index1,").build(); + String[] result = RelNodeUtils.extractIndices(plan); + for (String idx : result) { + assertFalse("Should not contain empty string", idx.isEmpty()); + } + assertTrue("Should contain index1", java.util.Arrays.asList(result).contains("index1")); + } + + public void testSingleIndexNoComma() { + RelBuilder b = builderWithTable("plain_index"); + RelNode plan = b.scan("plain_index").build(); + assertArrayEquals(new String[] { "plain_index" }, RelNodeUtils.extractIndices(plan)); + } + + private RelBuilder builderWithTable(String tableName) { + SchemaPlus schema = CalciteSchema.createRootSchema(true).plus(); + schema.add(tableName, new MockTable()); + return RelBuilder.create(Frameworks.newConfigBuilder().defaultSchema(schema).build()); + } + /** Minimal table implementation for RelBuilder schema registration. */ private static class MockTable extends AbstractTable { @Override From a4302a31b74ab7a15607c1c8167e85703b30dd57 Mon Sep 17 00:00:00 2001 From: Sandesh Kumar Date: Wed, 24 Jun 2026 23:06:38 -0700 Subject: [PATCH 48/94] [analytics-engine] Fix dc() on short/tinyint fields and DF54 keyword field over-counting (#22299) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * [analytics-engine] Fix dc() on short/tinyint fields Cast TINYINT/SMALLINT to INTEGER before APPROX_COUNT_DISTINCT so DataFusion uses HLL (Binary state) instead of bitmap (List state). Widen derive_schema_from_partial_plan to detect List state types. Signed-off-by: Sandesh Kumar * [analytics-engine] Fix dc() overcount on keyword fields + DistinctCountIT Register custom approx_distinct UDAF for Utf8View that uses consistent &str hashing, fixing apache/datafusion#21064. Add DistinctCountIT covering all field types on 2-shard clickbench. Signed-off-by: Sandesh Kumar * [analytics-engine] Add UT for SMALLINT widening + TODOs for upstream fix Add unit test asserting CAST(SMALLINT→INTEGER) is present in the plan when COUNT(DISTINCT) targets a sub-32-bit column. Add TODOs on approx_distinct_safe.rs for upstream removal timeline. Signed-off-by: Sandesh Kumar * [analytics-engine] Mute flaky PplClickBenchIT Q9/Q10 dc(UserID) grouped by RegionID with sort+head produces non-deterministic results on 2-node clusters due to HLL estimate variance across shards for tied groups. Mute until golden comparison handles tied-row tolerance. Signed-off-by: Sandesh Kumar --------- Signed-off-by: Sandesh Kumar --- .../rust/src/api.rs | 12 +- .../rust/src/udaf/approx_distinct_safe.rs | 116 ++++++++++++++ .../rust/src/udaf/mod.rs | 2 + .../rules/OpenSearchDistinctCountRule.java | 50 +++++- .../analytics/planner/AggregateRuleTests.java | 23 +++ .../analytics/qa/DistinctCountIT.java | 150 ++++++++++++++++++ .../analytics/qa/PplClickBenchIT.java | 5 +- 7 files changed, 351 insertions(+), 7 deletions(-) create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DistinctCountIT.java diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 822605b694ee3..711a1cd0ea42f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -1559,12 +1559,14 @@ fn derive_schema_from_partial_plan( let logical_plan = futures::executor::block_on(from_substrait_plan(&session_state, &plan))?; let physical_plan = futures::executor::block_on(session_state.create_physical_plan(&logical_plan))?; - // Engine-native-merge (HLL): Partial has Binary fields that differ from the top (Int64). - // Use Partial schema + Root.names so coordinator sees the correct Binary wire type. - // All other plans: use top schema directly (matches main behavior). + // Engine-native-merge: Partial state types differ from Final output (Binary HLL sketches, + // or List state for sub-32-bit bitmap accumulators). Use Partial schema + Root.names so + // the coordinator sees the correct wire type. if let Some(partial_schema) = crate::agg_mode::partial_aggregate_schema(&physical_plan) { - let has_binary = partial_schema.fields().iter().any(|f| matches!(f.data_type(), arrow::datatypes::DataType::Binary)); - if has_binary && !declared_names.is_empty() && declared_names.len() == partial_schema.fields().len() { + let has_nontrivial_state = partial_schema.fields().iter().any(|f| { + matches!(f.data_type(), arrow::datatypes::DataType::Binary | arrow::datatypes::DataType::List(_)) + }); + if has_nontrivial_state && !declared_names.is_empty() && declared_names.len() == partial_schema.fields().len() { use arrow::datatypes::{Field, Schema}; let coerced = crate::schema_coerce::coerce_inferred_schema(partial_schema); let fields: Vec = coerced.fields().iter().zip(declared_names.iter()) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs new file mode 100644 index 0000000000000..d01273b9693a2 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs @@ -0,0 +1,116 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Safe `approx_distinct` override — fixes https://github.com/apache/datafusion/pull/21064 +//! by routing Utf8View through consistent &str hashing. +//! +//! TODO: Remove once fixed upstream (likely DataFusion v55/v56). +//! TODO: Evaluate if DF's UDAF extension points (e.g. AccumulatorArgs overrides or +//! custom PhysicalOptimizerRule to inject CastExec) can avoid same-name overrides. + +use std::sync::Arc; +use datafusion::arrow::array::{Array, ArrayRef, StringArray, StringViewArray}; +use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; +use datafusion::common::{downcast_value, Result}; +use datafusion::execution::context::SessionContext; +use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; +use datafusion::logical_expr::{Accumulator, AggregateUDFImpl, Signature, Volatility}; +use datafusion::functions_aggregate::approx_distinct::approx_distinct_udaf; +use datafusion::scalar::ScalarValue; + +pub fn register_all(ctx: &SessionContext) { + ctx.register_udaf(datafusion::logical_expr::AggregateUDF::from(SafeApproxDistinct::new())); +} + +#[derive(Debug, PartialEq, Eq, Hash)] +struct SafeApproxDistinct { + signature: Signature, +} + +impl SafeApproxDistinct { + fn new() -> Self { + Self { + signature: Signature::any(1, Volatility::Immutable), + } + } +} + +impl AggregateUDFImpl for SafeApproxDistinct { + fn name(&self) -> &str { + "approx_distinct" + } + + fn signature(&self) -> &Signature { + &self.signature + } + + fn return_type(&self, args: &[DataType]) -> Result { + approx_distinct_udaf().inner().return_type(args) + } + + fn state_fields(&self, args: StateFieldsArgs) -> Result> { + approx_distinct_udaf().inner().state_fields(args) + } + + fn accumulator(&self, acc_args: AccumulatorArgs) -> Result> { + let data_type = acc_args.expr_fields[0].data_type(); + if matches!(data_type, DataType::Utf8View) { + // Wrap DF's Utf8 accumulator, feed it materialized &str from StringViewArray + let utf8_args = AccumulatorArgs { + return_field: acc_args.return_field, + schema: acc_args.schema, + ignore_nulls: acc_args.ignore_nulls, + order_bys: acc_args.order_bys, + name: acc_args.name, + is_distinct: acc_args.is_distinct, + exprs: acc_args.exprs, + expr_fields: &[Arc::new(Field::new("x", DataType::Utf8, true))], + is_reversed: acc_args.is_reversed, + }; + let inner = approx_distinct_udaf().inner().accumulator(utf8_args)?; + Ok(Box::new(Utf8ViewToUtf8Accumulator { inner })) + } else { + approx_distinct_udaf().inner().accumulator(acc_args) + } + } + + fn documentation(&self) -> Option<&datafusion::logical_expr::Documentation> { + None + } +} + +/// Wraps DF's Utf8 HLL accumulator, converting Utf8View batches to StringArray on the fly. +#[derive(Debug)] +struct Utf8ViewToUtf8Accumulator { + inner: Box, +} + +impl Accumulator for Utf8ViewToUtf8Accumulator { + fn update_batch(&mut self, values: &[ArrayRef]) -> Result<()> { + let view_array: &StringViewArray = downcast_value!(values[0], StringViewArray); + // Materialize as StringArray — consistent hashing via StringHLLAccumulator + let string_array: StringArray = view_array.iter().collect(); + self.inner.update_batch(&[Arc::new(string_array) as ArrayRef]) + } + + fn merge_batch(&mut self, states: &[ArrayRef]) -> Result<()> { + self.inner.merge_batch(states) + } + + fn state(&mut self) -> Result> { + self.inner.state() + } + + fn evaluate(&mut self) -> Result { + self.inner.evaluate() + } + + fn size(&self) -> usize { + self.inner.size() + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/mod.rs index 1d595e9da61ce..54b408a6b8b53 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/mod.rs @@ -12,6 +12,7 @@ use datafusion::execution::context::SessionContext; +pub mod approx_distinct_safe; pub mod internal_pattern; pub mod list_merge; pub mod os_count_distinct; @@ -22,4 +23,5 @@ pub fn register_all(ctx: &SessionContext) { list_merge::register_all(ctx); internal_pattern::register_all(ctx); os_count_distinct::register_all(ctx); + approx_distinct_safe::register_all(ctx); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchDistinctCountRule.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchDistinctCountRule.java index 2ca5323dd17f1..56f8b9b3c0775 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchDistinctCountRule.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchDistinctCountRule.java @@ -19,6 +19,7 @@ import org.apache.calcite.rex.RexNode; import org.apache.calcite.sql.SqlKind; import org.apache.calcite.sql.fun.SqlStdOperatorTable; +import org.apache.calcite.sql.type.SqlTypeName; import org.apache.calcite.tools.RelBuilder; import java.util.ArrayList; @@ -58,9 +59,14 @@ public void onMatch(RelOptRuleCall ruleCall) { } } if (!changed) return; + + // Widen sub-32-bit integer args to INTEGER so DataFusion uses HLL (Binary state) + // instead of its bitmap accumulator (List state) which our exchange contract doesn't support. + RelNode input = widenSmallIntArgs(ruleCall, agg.getInput(), rewritten); + LogicalAggregate replacement = (LogicalAggregate) agg.copy( agg.getTraitSet(), - agg.getInput(), + input, agg.getGroupSet(), agg.getGroupSets(), rewritten @@ -111,6 +117,48 @@ private static boolean isPplDistinctCountApproxUdf(AggregateCall call) { && call.getArgList().size() == 1; } + /** + * If any APPROX_COUNT_DISTINCT arg references a sub-32-bit integer column (TINYINT/SMALLINT), + * insert a Project that casts those columns to INTEGER. This forces DataFusion to use the + * HLL accumulator (Binary state) instead of the bitmap accumulator (List state). + */ + private static RelNode widenSmallIntArgs(RelOptRuleCall ruleCall, RelNode input, List calls) { + List fields = input.getRowType().getFieldList(); + boolean needsWiden = false; + for (AggregateCall call : calls) { + if (call.getAggregation() == SqlStdOperatorTable.APPROX_COUNT_DISTINCT) { + for (int argIdx : call.getArgList()) { + SqlTypeName typeName = fields.get(argIdx).getType().getSqlTypeName(); + if (typeName == SqlTypeName.TINYINT || typeName == SqlTypeName.SMALLINT) { + needsWiden = true; + break; + } + } + } + if (needsWiden) break; + } + if (!needsWiden) return input; + + RelBuilder builder = ruleCall.builder(); + builder.push(input); + RexBuilder rexBuilder = builder.getRexBuilder(); + RelDataType intType = rexBuilder.getTypeFactory().createSqlType(SqlTypeName.INTEGER); + List projects = new ArrayList<>(fields.size()); + List names = new ArrayList<>(fields.size()); + for (int i = 0; i < fields.size(); i++) { + RelDataTypeField field = fields.get(i); + RexNode ref = rexBuilder.makeInputRef(input, i); + SqlTypeName typeName = field.getType().getSqlTypeName(); + if (typeName == SqlTypeName.TINYINT || typeName == SqlTypeName.SMALLINT) { + ref = rexBuilder.makeCast(intType, ref); + } + projects.add(ref); + names.add(field.getName()); + } + builder.project(projects, names, true); + return builder.build(); + } + private static AggregateCall rewriteToApprox(AggregateCall call, LogicalAggregate agg) { return AggregateCall.create( SqlStdOperatorTable.APPROX_COUNT_DISTINCT, diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/AggregateRuleTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/AggregateRuleTests.java index 02813e5d35be5..c3c02da62e943 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/AggregateRuleTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/AggregateRuleTests.java @@ -394,6 +394,29 @@ public void testPplDistinctCountApproxUdfRewrittenWithCastProject() { assertFalse("isDistinct must be cleared on the rewritten call", rebuilt.isDistinct()); } + /** + * COUNT(DISTINCT smallint_col) inserts a widening CAST(col AS INTEGER) below the aggregate + * so DataFusion uses HLL (Binary state) instead of bitmap (List state). + */ + public void testCountDistinctOnSmallintWidensToInteger() { + RelNode scan = stubScan( + mockTable("test_index", new String[] { "status", "size" }, new SqlTypeName[] { SqlTypeName.INTEGER, SqlTypeName.SMALLINT }) + ); + AggregateCall countDistinct = AggregateCall.create( + SqlStdOperatorTable.COUNT, + true, + List.of(1), + -1, + scan, + typeFactory.createSqlType(SqlTypeName.BIGINT), + "dc" + ); + RelNode result = runPlanner(makeAggregate(scan, countDistinct), defaultContext(1)); + String plan = RelOptUtil.toString(result); + logger.info("Full plan with SMALLINT dc:\n{}", plan); + assertTrue("Plan must contain CAST to widen SMALLINT to INTEGER", plan.contains("CAST") && plan.contains("INTEGER")); + } + /** * Stdop {@code APPROX_COUNT_DISTINCT} (already canonical) must not be rewritten — the rule's * predicate excludes the stdop, so no Project wrap is added and the result is a plain diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DistinctCountIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DistinctCountIT.java new file mode 100644 index 0000000000000..abe040d1b8324 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DistinctCountIT.java @@ -0,0 +1,150 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import java.io.IOException; +import java.util.List; +import java.util.Map; + +/** + * dc()/distinct_count() correctness across all field types on a 2-shard clickbench index. + * Compares HLL result against GROUP BY count (ground truth) with 5% tolerance. + */ +public class DistinctCountIT extends AnalyticsRestTestCase { + + private static final Dataset CLICKBENCH = ClickBenchTestHelper.DATASET; + private static final String IDX = CLICKBENCH.indexName; + private static volatile boolean provisioned = false; + + @Override + protected void onBeforeQuery() throws IOException { + if (provisioned == false) { + DatasetProvisioner.provision(client(), CLICKBENCH, 2); + provisioned = true; + } + } + + // ── keyword fields ────────────────────────────────────────────────────────── + + public void testDc_keyword_Title() throws Exception { + assertDcAccurate("Title"); + } + + public void testDc_keyword_BrowserCountry() throws Exception { + assertDcAccurate("BrowserCountry"); + } + + public void testDc_keyword_BrowserLanguage() throws Exception { + assertDcAccurate("BrowserLanguage"); + } + + // ── short (tinyint/smallint) fields ───────────────────────────────────────── + + public void testDc_short_OS() throws Exception { + assertDcAccurate("OS"); + } + + public void testDc_short_Age() throws Exception { + assertDcAccurate("Age"); + } + + public void testDc_short_Income() throws Exception { + assertDcAccurate("Income"); + } + + public void testDc_short_IsMobile() throws Exception { + assertDcAccurate("IsMobile"); + } + + // ── integer fields ────────────────────────────────────────────────────────── + + public void testDc_integer_RegionID() throws Exception { + assertDcAccurate("RegionID"); + } + + // ── long fields ───────────────────────────────────────────────────────────── + + public void testDc_long_RefererHash() throws Exception { + assertDcAccurate("RefererHash"); + } + + // ── with filter (exercises delegation + partial aggregate interaction) ─────── + + public void testDc_keyword_withFilter() throws Exception { + assertDcWithFilterAccurate("Title", "GoodEvent = 1"); + } + + public void testDc_short_withFilter() throws Exception { + assertDcWithFilterAccurate("OS", "Age > 0"); + } + + public void testDc_integer_withFilter() throws Exception { + assertDcWithFilterAccurate("RegionID", "GoodEvent = 1"); + } + + // ── grouped dc ────────────────────────────────────────────────────────────── + + public void testDc_grouped() throws Exception { + @SuppressWarnings("unchecked") + Map result = executePpl( + "source=" + IDX + " | stats distinct_count(Title) as dc by OS" + ); + @SuppressWarnings("unchecked") + List> rows = (List>) result.get("datarows"); + assertNotNull(rows); + assertFalse("grouped dc must return rows", rows.isEmpty()); + for (List row : rows) { + int dc = ((Number) row.get(0)).intValue(); + assertTrue("per-group dc must be > 0", dc > 0); + } + } + + // ── helpers ───────────────────────────────────────────────────────────────── + + @SuppressWarnings("unchecked") + private void assertDcAccurate(String field) throws Exception { + Map grouped = executePpl("source=" + IDX + " | stats count() by " + field); + int truth = ((List>) grouped.get("datarows")).size(); + + Map dc = executePpl("source=" + IDX + " | stats distinct_count(" + field + ") as dc"); + int dcVal = ((Number) ((List>) dc.get("datarows")).get(0).get(0)).intValue(); + + logger.info("dc({}): result={}, truth={}", field, dcVal, truth); + assertWithinTolerance(field, dcVal, truth); + } + + @SuppressWarnings("unchecked") + private void assertDcWithFilterAccurate(String field, String filter) throws Exception { + Map grouped = executePpl( + "source=" + IDX + " | where " + filter + " | stats count() by " + field + ); + int truth = ((List>) grouped.get("datarows")).size(); + + Map dc = executePpl( + "source=" + IDX + " | where " + filter + " | stats distinct_count(" + field + ") as dc" + ); + int dcVal = ((Number) ((List>) dc.get("datarows")).get(0).get(0)).intValue(); + + logger.info("dc({}) with filter '{}': result={}, truth={}", field, filter, dcVal, truth); + assertWithinTolerance(field + " (filtered)", dcVal, truth); + } + + private void assertWithinTolerance(String label, int dcVal, int truth) { + if (truth <= 20) { + assertEquals("dc(" + label + ") must be exact at low cardinality", truth, dcVal); + } else { + double error = Math.abs(dcVal - truth) / (double) truth; + assertTrue( + "dc(" + label + ") error " + String.format(java.util.Locale.ROOT, "%.1f%%", error * 100) + + " exceeds 5% (dc=" + dcVal + ", truth=" + truth + ")", + error <= 0.05 + ); + } + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java index 13458a017e570..e20d3ab3458ab 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java @@ -35,7 +35,10 @@ public class PplClickBenchIT extends AnalyticsRestTestCase { * resources/datasets/clickbench/ppl/. Individual queries can be excluded via * {@link #SKIP_QUERIES} when a feature is genuinely missing rather than broken. */ - private static final Set SKIP_QUERIES = Set.of(); + // Q9 and Q10 compute dc(UserID) grouped by RegionID with sort + head 10. On a 2-node cluster + // the HLL estimate for tied groups varies by shard assignment, so the top-10 rows are + // non-deterministic. Mute until golden comparison handles tied-row tolerance. + private static final Set SKIP_QUERIES = Set.of(9, 10); private static boolean dataProvisioned = false; From f136d8acdd718488c288eac3443a9bd021f6e1f6 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Thu, 25 Jun 2026 12:46:25 +0530 Subject: [PATCH 49/94] Fix statistics cache limit reset and add dynamic cache management (#22302) Signed-off-by: Arpit Bandejiya --- .../rust/src/cache/statistics_cache.rs | 20 ++++++++--- .../rust/src/ffm.rs | 34 +++++++++++++++++++ .../be/datafusion/DataFusionPlugin.java | 17 ++++++---- .../action/stats/ClearCacheNodeRequest.java | 12 +++++-- .../action/stats/ClearCacheNodesRequest.java | 13 ++++++- .../action/stats/RestClearCacheAction.java | 2 ++ .../stats/TransportClearCacheAction.java | 3 +- .../be/datafusion/cache/CacheManager.java | 6 ++-- .../be/datafusion/nativelib/NativeBridge.java | 19 +++++++++++ .../action/stats/ClearCacheRequestTests.java | 34 ++++++++++++++++--- .../stats/RestClearCacheActionTests.java | 14 ++++++++ 11 files changed, 152 insertions(+), 22 deletions(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs index 8a84fb2c894e8..973540287b78f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs @@ -463,11 +463,7 @@ impl FileStatisticsCache for CustomStatisticsCache { self.size_limit.load(Ordering::Relaxed) } - fn update_cache_limit(&self, limit: usize) { - // Best-effort: update_size_limit also triggers eviction; ignore its Result - // since the trait method is infallible. - let _ = self.update_size_limit(limit); - } + fn update_cache_limit(&self, _limit: usize) {} fn list_entries(&self) -> std::collections::HashMap { std::collections::HashMap::new() @@ -770,4 +766,18 @@ mod tests { for handle in handles { handle.join().unwrap(); } assert!(cache.len() > 0); } + + #[test] + fn test_update_cache_limit_trait_is_noop() { + use datafusion::execution::cache::cache_manager::FileStatisticsCache; + + let cache = CustomStatisticsCache::new(PolicyType::Lru, 50 * 1024 * 1024, 0.8); + assert_eq!(cache.cache_limit(), 50 * 1024 * 1024); + + FileStatisticsCache::update_cache_limit(&cache, 20 * 1024 * 1024); + assert_eq!(cache.cache_limit(), 50 * 1024 * 1024); + + cache.update_size_limit(30 * 1024 * 1024).unwrap(); + assert_eq!(cache.cache_limit(), 30 * 1024 * 1024); + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index c665dae11d181..4aee89bbaaafd 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -1174,6 +1174,40 @@ pub unsafe extern "C" fn df_cache_manager_contains_by_type( }) } +#[ffm_safe] +#[no_mangle] +pub unsafe extern "C" fn df_cache_manager_update_size_limit( + runtime_ptr: i64, + cache_type_ptr: *const u8, + cache_type_len: i64, + new_limit: i64, +) -> i64 { + if runtime_ptr == 0 { + return Err("df_cache_manager_update_size_limit: null runtime pointer".to_string()); + } + if new_limit < 0 { + return Err(format!("df_cache_manager_update_size_limit: negative limit {}", new_limit)); + } + let cache_type = str_from_raw(cache_type_ptr, cache_type_len) + .map_err(|e| format!("df_cache_manager_update_size_limit: {}", e))?; + let runtime = &*(runtime_ptr as *const DataFusionRuntime); + let manager = runtime.custom_cache_manager.as_ref().ok_or_else(|| { + "df_cache_manager_update_size_limit: no cache manager configured".to_string() + })?; + match cache_type { + cache::CACHE_TYPE_METADATA => { + manager.update_metadata_cache_limit(new_limit as usize); + Ok(0) + } + cache::CACHE_TYPE_STATS => { + manager.update_statistics_cache_limit(new_limit as usize) + .map_err(|e| format!("df_cache_manager_update_size_limit: {}", e))?; + Ok(0) + } + _ => Err(format!("df_cache_manager_update_size_limit: unsupported cache type: {}", cache_type)), + } +} + #[no_mangle] pub unsafe extern "C" fn df_close_session_context(ptr: i64) { crate::session_context::close_session_context(ptr); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index bb29fc5916b5c..e05d6127c9c0d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -19,7 +19,9 @@ import org.opensearch.be.datafusion.action.stats.DataFusionStatsActionType; import org.opensearch.be.datafusion.action.stats.RestDataFusionStatsAction; import org.opensearch.be.datafusion.action.stats.TransportDataFusionStatsAction; +import org.opensearch.be.datafusion.cache.CacheManager; import org.opensearch.be.datafusion.cache.CacheSettings; +import org.opensearch.be.datafusion.cache.CacheUtils; import org.opensearch.be.datafusion.nativelib.NativeBridge; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; import org.opensearch.cluster.node.DiscoveryNodes; @@ -874,19 +876,22 @@ private void recomputePageCacheLimits(org.opensearch.common.settings.Settings up long oiLimit = total * oiPct / 100; long statsLimit = total * statsPct / 100; logger.info( - "Updating cache limits: footer_metadata={} bytes (node restart required), " - + "column_index={} bytes, offset_index={} bytes, statistics={} bytes (node restart required)", + "Updating cache limits: footer_metadata={} bytes, " + "column_index={} bytes, offset_index={} bytes, statistics={} bytes", metaLimit, ciLimit, oiLimit, statsLimit ); - // CI and OI limits take effect immediately via FFI. - // Footer metadata and statistics cache limits require a node restart - // (no runtime FFI to update the Java-side DefaultFilesMetadataCache limits). - // TODO: add df_update_metadata_cache_limit FFI to make them dynamic. NativeBridge.setColumnIndexCacheLimit(ciLimit); NativeBridge.setOffsetIndexCacheLimit(oiLimit); + DataFusionService service = dataFusionService; + if (service != null) { + CacheManager cm = service.getCacheManager(); + if (cm != null) { + cm.updateSizeLimit(CacheUtils.CacheType.METADATA, metaLimit); + cm.updateSizeLimit(CacheUtils.CacheType.STATISTICS, statsLimit); + } + } } /** diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java index 59dadadfdaf27..bd87218685ce5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodeRequest.java @@ -20,11 +20,13 @@ public class ClearCacheNodeRequest extends TransportRequest { private boolean footer; private boolean column; private boolean offset; + private boolean statistics; - public ClearCacheNodeRequest(boolean footer, boolean column, boolean offset) { + public ClearCacheNodeRequest(boolean footer, boolean column, boolean offset, boolean statistics) { this.footer = footer; this.column = column; this.offset = offset; + this.statistics = statistics; } public ClearCacheNodeRequest(StreamInput in) throws IOException { @@ -32,6 +34,7 @@ public ClearCacheNodeRequest(StreamInput in) throws IOException { this.footer = in.readBoolean(); this.column = in.readBoolean(); this.offset = in.readBoolean(); + this.statistics = in.readBoolean(); } @Override @@ -40,6 +43,7 @@ public void writeTo(StreamOutput out) throws IOException { out.writeBoolean(footer); out.writeBoolean(column); out.writeBoolean(offset); + out.writeBoolean(statistics); } public boolean isFooter() { @@ -54,7 +58,11 @@ public boolean isOffset() { return offset; } + public boolean isStatistics() { + return statistics; + } + public boolean isClearAll() { - return !footer && !column && !offset; + return !footer && !column && !offset && !statistics; } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java index c592916ba03a2..def15dec4f1a4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/ClearCacheNodesRequest.java @@ -27,6 +27,7 @@ public class ClearCacheNodesRequest extends BaseNodesRequest * *

      Multiple params may be combined. When no param is set, all caches are cleared. @@ -54,6 +55,7 @@ protected RestChannelConsumer prepareRequest(RestRequest request, NodeClient cli nodesRequest.setFooter(request.paramAsBoolean("footer", false)); nodesRequest.setColumn(request.paramAsBoolean("column", false)); nodesRequest.setOffset(request.paramAsBoolean("offset", false)); + nodesRequest.setStatistics(request.paramAsBoolean("statistics", false)); return channel -> client.execute(ClearCacheActionType.INSTANCE, nodesRequest, new NodesResponseRestListener<>(channel)); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java index 1fe3da15f81fc..5ed9f2494b78c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/stats/TransportClearCacheAction.java @@ -73,7 +73,7 @@ protected ClearCacheNodesResponse newResponse( @Override protected ClearCacheNodeRequest newNodeRequest(ClearCacheNodesRequest request) { - return new ClearCacheNodeRequest(request.isFooter(), request.isColumn(), request.isOffset()); + return new ClearCacheNodeRequest(request.isFooter(), request.isColumn(), request.isOffset(), request.isStatistics()); } @Override @@ -93,6 +93,7 @@ protected ClearCacheNodeResponse nodeOperation(ClearCacheNodeRequest request) { if (request.isFooter()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.METADATA); if (request.isColumn()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.COLUMN_INDEX); if (request.isOffset()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.OFFSET_INDEX); + if (request.isStatistics()) cacheManager.clearCacheForCacheType(CacheUtils.CacheType.STATISTICS); } } return new ClearCacheNodeResponse(clusterService.localNode()); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheManager.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheManager.java index fa45809898fc6..a5333d5682383 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheManager.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/cache/CacheManager.java @@ -88,10 +88,10 @@ public long getTotalMemoryConsumed() { public void updateSizeLimit(CacheUtils.CacheType cacheType, long sizeLimit) { try { - // TODO: Add updateSizeLimitForCacheType FFM function when needed - logger.warn("updateSizeLimit not yet implemented for FFM bridge"); + NativeBridge.cacheManagerUpdateSizeLimit(runtimeHandle.get(), cacheType.getCacheTypeName(), sizeLimit); + logger.info("Updated {} cache size limit to {} bytes", cacheType.getCacheTypeName(), sizeLimit); } catch (Exception e) { - logger.error("Error updating size limit", e); + logger.error("Error updating cache size limit", e); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index 9c743b72a5f49..bf24dcb0330f4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -132,6 +132,7 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle CACHE_MANAGER_GET_MEMORY_BY_TYPE; private static final MethodHandle CACHE_MANAGER_GET_TOTAL_MEMORY; private static final MethodHandle CACHE_MANAGER_CONTAINS_BY_TYPE; + private static final MethodHandle CACHE_MANAGER_UPDATE_SIZE_LIMIT; private static final MethodHandle CREATE_SESSION_CONTEXT; private static final MethodHandle CREATE_SESSION_CONTEXT_INDEXED; private static final MethodHandle CLOSE_SESSION_CONTEXT; @@ -526,6 +527,17 @@ private static RuntimeException rethrowConverted(RuntimeException e) { ) ); + CACHE_MANAGER_UPDATE_SIZE_LIMIT = linker.downcallHandle( + lib.find("df_cache_manager_update_size_limit").orElseThrow(), + FunctionDescriptor.of( + ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG, + ValueLayout.ADDRESS, + ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG + ) + ); + SET_COLUMN_INDEX_CACHE_LIMIT = linker.downcallHandle( lib.find("df_set_column_index_cache_limit").orElseThrow(), FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) @@ -1693,6 +1705,13 @@ public static boolean cacheManagerGetItemByCacheType(long runtimePtr, String cac } } + public static void cacheManagerUpdateSizeLimit(long runtimePtr, String cacheType, long newLimit) { + try (var call = new NativeCall()) { + var type = call.str(cacheType); + call.invoke(CACHE_MANAGER_UPDATE_SIZE_LIMIT, runtimePtr, type.segment(), type.len(), newLimit); + } + } + /** * Sets the byte budget of the process-global scoped ColumnIndex cache. * Shrinking evicts LRU entries immediately. Zero is ignored. diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java index 7273a8a0f728b..6f69f7021a2bb 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/ClearCacheRequestTests.java @@ -27,6 +27,7 @@ public void testDefaultNodesRequestIsClearAll() { assertFalse(req.isFooter()); assertFalse(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertTrue("no flags set → isClearAll()", req.isClearAll()); } @@ -36,6 +37,7 @@ public void testSetFooterOnlyIsNotClearAll() { assertTrue(req.isFooter()); assertFalse(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertFalse("footer=true → not clear-all", req.isClearAll()); } @@ -45,6 +47,7 @@ public void testSetColumnOnlyIsNotClearAll() { assertFalse(req.isFooter()); assertTrue(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertFalse(req.isClearAll()); } @@ -54,6 +57,17 @@ public void testSetOffsetOnlyIsNotClearAll() { assertFalse(req.isFooter()); assertFalse(req.isColumn()); assertTrue(req.isOffset()); + assertFalse(req.isStatistics()); + assertFalse(req.isClearAll()); + } + + public void testSetStatisticsOnlyIsNotClearAll() { + ClearCacheNodesRequest req = new ClearCacheNodesRequest(); + req.setStatistics(true); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertTrue(req.isStatistics()); assertFalse(req.isClearAll()); } @@ -62,7 +76,7 @@ public void testAllFlagsSetIsNotClearAll() { req.setFooter(true); req.setColumn(true); req.setOffset(true); - // isClearAll() is false when any flag is explicitly set — caller chose specific caches + req.setStatistics(true); assertFalse(req.isClearAll()); } @@ -71,6 +85,7 @@ public void testNodesRequestRoundTrip() throws IOException { original.setFooter(true); original.setColumn(false); original.setOffset(true); + original.setStatistics(true); BytesStreamOutput out = new BytesStreamOutput(); original.writeTo(out); @@ -80,23 +95,33 @@ public void testNodesRequestRoundTrip() throws IOException { assertEquals(original.isFooter(), deserialized.isFooter()); assertEquals(original.isColumn(), deserialized.isColumn()); assertEquals(original.isOffset(), deserialized.isOffset()); + assertEquals(original.isStatistics(), deserialized.isStatistics()); assertEquals(original.isClearAll(), deserialized.isClearAll()); } // ── ClearCacheNodeRequest ───────────────────────────────────────────────── public void testNodeRequestIsClearAllWhenNoFlagsSet() { - ClearCacheNodeRequest req = new ClearCacheNodeRequest(false, false, false); + ClearCacheNodeRequest req = new ClearCacheNodeRequest(false, false, false, false); assertTrue(req.isClearAll()); } public void testNodeRequestIsNotClearAllWhenFlagSet() { - ClearCacheNodeRequest req = new ClearCacheNodeRequest(true, false, false); + ClearCacheNodeRequest req = new ClearCacheNodeRequest(true, false, false, false); + assertFalse(req.isClearAll()); + } + + public void testNodeRequestStatisticsFlag() { + ClearCacheNodeRequest req = new ClearCacheNodeRequest(false, false, false, true); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertTrue(req.isStatistics()); assertFalse(req.isClearAll()); } public void testNodeRequestRoundTrip() throws IOException { - ClearCacheNodeRequest original = new ClearCacheNodeRequest(false, true, true); + ClearCacheNodeRequest original = new ClearCacheNodeRequest(false, true, true, true); BytesStreamOutput out = new BytesStreamOutput(); original.writeTo(out); @@ -106,6 +131,7 @@ public void testNodeRequestRoundTrip() throws IOException { assertFalse(deserialized.isFooter()); assertTrue(deserialized.isColumn()); assertTrue(deserialized.isOffset()); + assertTrue(deserialized.isStatistics()); assertFalse(deserialized.isClearAll()); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java index 3f5a1e8c2631d..9a16fb1386588 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/action/stats/RestClearCacheActionTests.java @@ -59,6 +59,7 @@ public void testNoParamsSendsClearAllRequest() throws Exception { assertFalse(req.isFooter()); assertFalse(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertTrue("no params → isClearAll()", req.isClearAll()); } @@ -67,6 +68,7 @@ public void testFooterParamSetsFooterFlag() throws Exception { assertTrue(req.isFooter()); assertFalse(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertFalse(req.isClearAll()); } @@ -75,6 +77,7 @@ public void testColumnParamSetsColumnFlag() throws Exception { assertFalse(req.isFooter()); assertTrue(req.isColumn()); assertFalse(req.isOffset()); + assertFalse(req.isStatistics()); assertFalse(req.isClearAll()); } @@ -83,6 +86,16 @@ public void testOffsetParamSetsOffsetFlag() throws Exception { assertFalse(req.isFooter()); assertFalse(req.isColumn()); assertTrue(req.isOffset()); + assertFalse(req.isStatistics()); + assertFalse(req.isClearAll()); + } + + public void testStatisticsParamSetsStatisticsFlag() throws Exception { + ClearCacheNodesRequest req = captureRequest(Map.of("statistics", "true")); + assertFalse(req.isFooter()); + assertFalse(req.isColumn()); + assertFalse(req.isOffset()); + assertTrue(req.isStatistics()); assertFalse(req.isClearAll()); } @@ -91,6 +104,7 @@ public void testMultipleParamsSetsMultipleFlags() throws Exception { assertFalse(req.isFooter()); assertTrue(req.isColumn()); assertTrue(req.isOffset()); + assertFalse(req.isStatistics()); assertFalse(req.isClearAll()); } From 653face0409ecee2f6c583a6ee801a31d85fe0c9 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Thu, 25 Jun 2026 13:20:38 +0530 Subject: [PATCH 50/94] Fix QTF fetch routing to wrong node after shard retry (#22306) --- .../analytics/exec/QueryContext.java | 23 ++++- .../analytics/exec/QueryScheduler.java | 17 ++++ .../shard/ShardFragmentStageExecution.java | 3 + .../analytics/exec/QuerySchedulerTests.java | 95 +++++++++++++++++++ 4 files changed, 133 insertions(+), 5 deletions(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryContext.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryContext.java index 5620f7c401c02..2fac28868b329 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryContext.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryContext.java @@ -19,9 +19,9 @@ import org.opensearch.common.settings.Settings; import org.opensearch.threadpool.ThreadPool; -import java.util.HashMap; import java.util.List; import java.util.Map; +import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.Executor; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; @@ -62,10 +62,11 @@ public class QueryContext { * {@code Stage} alongside {@code targetResolver}, or reify a typed cross-stage routing * table. Revisit when a second consumer appears or when extending QTF to UNION/JOIN. * - *

      Single-threaded write inside one stage's {@code materializeTasks}; reads happen - * only after that stage SUCCEEDED → plain {@link HashMap} suffices. + *

      The inner map is a {@link java.util.concurrent.ConcurrentHashMap} because + * {@code retargetForRetry} may update entries concurrently when multiple shards + * fail and retry in parallel on the scheduler thread pool. */ - private final Map> resolvedTargetsByStage = new HashMap<>(); + private final Map> resolvedTargetsByStage = new ConcurrentHashMap<>(); /** Full-parameter constructor. Tests use {@link #forTest} factories. */ public QueryContext( @@ -146,13 +147,25 @@ public List operationListeners() { * {@code QueryContext}. */ public void recordResolvedTargets(int stageId, List targets) { - Map byOrdinal = new HashMap<>(targets.size()); + Map byOrdinal = new ConcurrentHashMap<>(targets.size()); for (ShardExecutionTarget t : targets) { byOrdinal.put(t.ordinal(), t); } resolvedTargetsByStage.put(stageId, byOrdinal); } + /** + * Updates a single resolved target after a successful shard retry on a different copy. + * This ensures downstream stages (e.g. LM fetch) route to the node that actually + * executed the query, not the original primary that failed. + */ + public void updateResolvedTarget(int stageId, int ordinal, ShardExecutionTarget target) { + Map byOrdinal = resolvedTargetsByStage.get(stageId); + if (byOrdinal != null) { + byOrdinal.put(ordinal, target); + } + } + /** * Returns the resolved targets for a stage keyed by per-shard ordinal (UGSI), or * {@code null} if that stage hasn't resolved yet (or doesn't have a resolver). The diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java index 65787247c0871..2a2c5846cc055 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/QueryScheduler.java @@ -148,6 +148,14 @@ public void onResponse(Void unused) { public void onFailure(Exception cause) { Optional retry = stage.getState().isTerminal() ? Optional.empty() : stage.retargetForRetry(task, cause); if (retry.isPresent()) { + logger.debug( + () -> new ParameterizedMessage( + "[QueryScheduler] task {} on stage {} failed, retrying on {}", + task, + stage.getStageId(), + retry.get() + ) + ); currentAttempt.transitionTo(StageTaskState.FAILED); // previous attempt is now superseded StageTask r = retry.get(); currentAttempt = r; @@ -157,6 +165,15 @@ public void onFailure(Exception cause) { runner.run(r, this); // reuse this listener — retry loop until stage gives up return; } + logger.debug( + () -> new ParameterizedMessage( + "[QueryScheduler] task {} on stage {} failed, no retry available (stageTerminal={}, cause={})", + task, + stage.getStageId(), + stage.getState().isTerminal(), + cause.getMessage() + ) + ); currentAttempt.transitionTo(StageTaskState.FAILED); stage.onTaskTerminal(task, cause); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/shard/ShardFragmentStageExecution.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/shard/ShardFragmentStageExecution.java index 4317113103ca7..9e34d602b84d1 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/shard/ShardFragmentStageExecution.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/stage/shard/ShardFragmentStageExecution.java @@ -99,6 +99,9 @@ public Optional retargetForRetry(StageTask failed, Exception cause) { if (nextCopy == null) { return Optional.empty(); } + // Update the resolved target so downstream stages (LM fetch) route to the node + // that will run the retry, not the original primary that failed. + config.updateResolvedTarget(getStageId(), shardTarget.ordinal(), nextCopy); return Optional.of(new ShardStageTask(shardTask.id(), nextCopy)); } diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java index fcbc2d96ecc67..52a2b3178178d 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/QuerySchedulerTests.java @@ -204,6 +204,101 @@ public void testTerminalStageSkipsRetryAndPropagatesOriginalCause() { } } + /** + * Simulates the "No ReaderContext" bug scenario: task cancelled on data node (stream error) → + * retry on replica succeeds → verify that currentAttempt (the retry) is different from the + * original task when onResponse fires. This is the condition that triggers updateResolvedTarget + * in the fix (QueryScheduler checks currentAttempt != task after retry success). + */ + public void testRetryAfterCancelledStreamUsesNewAttemptOnSuccess() { + StageTask originalTask = makeTask(0); + FakeStage stage = new FakeStage(originalTask); + StageTask retryTask = makeTask(0); + stage.retryQueue.add(Optional.of(retryTask)); + + scheduler.scheduleStage(stage); + ActionListener handle = stage.runner.dispatched.get(0).handle; + + // Data node cancels the stream — propagates as TaskCancelledException to coordinator + handle.onFailure(new org.opensearch.core.tasks.TaskCancelledException("query cancelled")); + + // Retry dispatched to replica + assertEquals("retry dispatched after cancellation", 2, stage.runner.dispatched.size()); + assertSame("retry task dispatched", retryTask, stage.runner.dispatched.get(1).task); + assertEquals("original marked FAILED", StageTaskState.FAILED, originalTask.state()); + assertEquals("retry is RUNNING", StageTaskState.RUNNING, retryTask.state()); + + // Retry succeeds on replica — this is where updateResolvedTarget should fire + // because currentAttempt (retryTask) != task (originalTask) + handle.onResponse(null); + assertEquals("retry FINISHED", StageTaskState.FINISHED, retryTask.state()); + assertEquals("terminal called once", 1, stage.terminalCalls.get()); + assertNull("success — null cause", stage.lastTerminalCause.get()); + + // The fix checks: if (currentAttempt != task && stage instanceof ShardFragmentStageExecution) + // Here currentAttempt == retryTask, task == originalTask → they're different → fix triggers. + assertNotSame("currentAttempt differs from original — updateResolvedTarget condition met", originalTask, retryTask); + } + + /** + * Verifies that {@link QueryContext#updateResolvedTarget} correctly replaces a stale + * primary target with the replica target after a successful retry. This is the data-layer + * fix for the "No ReaderContext" bug — the LM fetch uses getResolvedTargets() to decide + * where to send fetch requests, so the map must reflect the node that actually ran the query. + */ + public void testUpdateResolvedTargetReplacesStaleEntry() { + org.opensearch.cluster.node.DiscoveryNode primaryNode = new org.opensearch.cluster.node.DiscoveryNode( + "primary", + buildNewFakeTransportAddress(), + java.util.Collections.emptyMap(), + java.util.Collections.emptySet(), + org.opensearch.Version.CURRENT + ); + org.opensearch.cluster.node.DiscoveryNode replicaNode = new org.opensearch.cluster.node.DiscoveryNode( + "replica", + buildNewFakeTransportAddress(), + java.util.Collections.emptyMap(), + java.util.Collections.emptySet(), + org.opensearch.Version.CURRENT + ); + org.opensearch.core.index.shard.ShardId shardId = new org.opensearch.core.index.shard.ShardId("test_idx", "uuid", 0); + + org.opensearch.analytics.planner.dag.ShardExecutionTarget primaryTarget = + new org.opensearch.analytics.planner.dag.ShardExecutionTarget(primaryNode, shardId, 0); + org.opensearch.analytics.planner.dag.ShardExecutionTarget replicaTarget = + new org.opensearch.analytics.planner.dag.ShardExecutionTarget(replicaNode, shardId, 0); + + // Simulate recordResolvedTargets at plan time — records primary + QueryContext config = mock(QueryContext.class); + java.util.Map targetMap = new java.util.HashMap<>(); + targetMap.put(0, primaryTarget); + org.mockito.Mockito.when(config.getResolvedTargets(0)).thenReturn(targetMap); + org.mockito.Mockito.doAnswer(invocation -> { + int stageId = invocation.getArgument(0); + int ordinal = invocation.getArgument(1); + org.opensearch.analytics.planner.dag.ShardExecutionTarget target = invocation.getArgument(2); + targetMap.put(ordinal, target); + return null; + }) + .when(config) + .updateResolvedTarget( + org.mockito.ArgumentMatchers.anyInt(), + org.mockito.ArgumentMatchers.anyInt(), + org.mockito.ArgumentMatchers.any() + ); + + // Before fix: target points to primary + assertSame("before retry, target points to primary", primaryTarget, targetMap.get(0)); + + // Simulate updateResolvedTarget after retry succeeds on replica + config.updateResolvedTarget(0, 0, replicaTarget); + + // After fix: target now points to replica + assertSame("after updateResolvedTarget, target points to replica", replicaTarget, targetMap.get(0)); + assertNotSame("target no longer points to primary", primaryTarget, targetMap.get(0)); + assertEquals("replica node is the fetch target", "replica", targetMap.get(0).node().getId()); + } + // ─── helpers ────────────────────────────────────────────────────────── private static StageTask makeTask(int partitionId) { From bf6fef81291d49c25c3c8cfc11ec38040a67c97d Mon Sep 17 00:00:00 2001 From: rayshrey <121871912+rayshrey@users.noreply.github.com> Date: Thu, 25 Jun 2026 13:32:43 +0530 Subject: [PATCH 51/94] [DFAE] Scale parquet batch/sort defaults with RAM and remove dead settings (#22300) Signed-off-by: rayshrey Co-authored-by: Mohit Godwani <81609427+mgodwan@users.noreply.github.com> --- .../opensearch/parquet/ParquetSettings.java | 128 ++++++++++++++---- .../parquet/bridge/NativeSettings.java | 12 -- .../opensearch/parquet/bridge/RustBridge.java | 2 - .../parquet/engine/ParquetIndexingEngine.java | 1 - .../parquet/memory/package-info.java | 8 +- .../src/main/rust/src/ffm.rs | 2 - .../src/main/rust/src/native_settings.rs | 5 - .../parquet/ParquetSettingsTests.java | 90 ++++++++++++ 8 files changed, 196 insertions(+), 52 deletions(-) diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java index 3dcb1e29feb9b..b0af1de91701a 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetSettings.java @@ -19,6 +19,7 @@ import org.opensearch.common.settings.Settings; import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; +import org.opensearch.monitor.os.OsProbe; import org.opensearch.node.resource.tracker.ResourceTrackerSettings; import java.util.Collections; @@ -39,8 +40,57 @@ private ParquetSettings() {} public static final String POOL_WRITE = "write"; public static final String POOL_MERGE = "merge"; - public static final String DEFAULT_MAX_NATIVE_ALLOCATION = "10%"; - public static final int DEFAULT_MAX_ROWS_PER_VSR = 65536; + /** + * Anchor used to scale the batch/sort defaults with machine memory. The tuned base values + * (VSR rows, merge rows, and sort-threshold MiB) were measured on a 64 GiB machine; defaults + * scale linearly with total RAM relative to this anchor. + */ + static final long BATCH_SIZE_ANCHOR_RAM_BYTES = 64L * 1024 * 1024 * 1024; + + /** Fixed bounds for the RAM-scaled {@code parquet.max_rows_per_vsr} default (user-set values are unbounded). */ + public static final int DEFAULT_MAX_ROWS_PER_VSR = 65_536; + static final int MAX_ROWS_PER_VSR_FLOOR = 8_192; + static final int MAX_ROWS_PER_VSR_CEIL = 131_072; + + /** Tuned base (64 GiB anchor) and fixed bounds for the RAM-scaled {@code index.parquet.merge_batch_size} default. */ + public static final int DEFAULT_MERGE_BATCH_SIZE = 100_000; + static final int MERGE_BATCH_SIZE_FLOOR = 12_500; + static final int MERGE_BATCH_SIZE_CEIL = 100_000; + + /** + * Tuned base (64 GiB anchor) and fixed bounds, in MiB, for the RAM-scaled + * {@code index.parquet.sort_in_memory_threshold} default. Governs the sorted-write chunk size; + * each chunk flush transiently reserves ~2× this on the write pool. + */ + static final int SORT_IN_MEMORY_THRESHOLD_BASE_MB = 32; + static final int SORT_IN_MEMORY_THRESHOLD_FLOOR_MB = 16; + static final int SORT_IN_MEMORY_THRESHOLD_CEIL_MB = 64; + + /** + * RAM-scaled defaults, computed once at class load (total RAM is constant per node). + * Any failure reading RAM falls back to the tuned base value (see {@link #safeTotalRamBytes()}). + */ + private static final int MAX_ROWS_PER_VSR_DEFAULT = deriveBatchSizeDefault( + safeTotalRamBytes(), + DEFAULT_MAX_ROWS_PER_VSR, + MAX_ROWS_PER_VSR_FLOOR, + MAX_ROWS_PER_VSR_CEIL + ); + private static final int MERGE_BATCH_SIZE_DEFAULT = deriveBatchSizeDefault( + safeTotalRamBytes(), + DEFAULT_MERGE_BATCH_SIZE, + MERGE_BATCH_SIZE_FLOOR, + MERGE_BATCH_SIZE_CEIL + ); + private static final ByteSizeValue SORT_IN_MEMORY_THRESHOLD_DEFAULT = new ByteSizeValue( + deriveBatchSizeDefault( + safeTotalRamBytes(), + SORT_IN_MEMORY_THRESHOLD_BASE_MB, + SORT_IN_MEMORY_THRESHOLD_FLOOR_MB, + SORT_IN_MEMORY_THRESHOLD_CEIL_MB + ), + ByteSizeUnit.MB + ); /** Data page size limit in bytes (default 1MB). */ public static final Setting PAGE_SIZE_BYTES = Setting.byteSizeSetting( @@ -104,33 +154,23 @@ private ParquetSettings() {} Setting.Property.IndexScope ); - /** Maximum native memory allocation for Arrow buffers, as a percentage of non-heap memory (default 10%). */ - public static final Setting MAX_NATIVE_ALLOCATION = Setting.simpleString( - "parquet.max_native_allocation", - DEFAULT_MAX_NATIVE_ALLOCATION, - Setting.Property.NodeScope - ); - - /** Maximum rows per VectorSchemaRoot before rotation is triggered (default 50000). */ + /** + * Maximum rows per VectorSchemaRoot before rotation is triggered. Default scales with total RAM + * (linearly, anchored at 64 GiB → {@value #DEFAULT_MAX_ROWS_PER_VSR}), clamped to + * [{@value #MAX_ROWS_PER_VSR_FLOOR}, {@value #MAX_ROWS_PER_VSR_CEIL}]. + */ public static final Setting MAX_ROWS_PER_VSR = Setting.intSetting( "parquet.max_rows_per_vsr", - DEFAULT_MAX_ROWS_PER_VSR, + MAX_ROWS_PER_VSR_DEFAULT, 1, Setting.Property.NodeScope ); - /** File size threshold for in-memory sort vs streaming merge sort (default 32MB). */ + /** File size threshold for in-memory sort vs streaming merge sort. Default scales with total RAM + * (anchor 32 MiB @ 64 GiB), clamped to [16 MiB, 64 MiB]. */ public static final Setting SORT_IN_MEMORY_THRESHOLD = Setting.byteSizeSetting( "index.parquet.sort_in_memory_threshold", - new ByteSizeValue(32, ByteSizeUnit.MB), - Setting.Property.IndexScope - ); - - /** Batch size for streaming merge sort (default 8192 rows). */ - public static final Setting SORT_BATCH_SIZE = Setting.intSetting( - "index.parquet.sort_batch_size", - 8192, - 1, + SORT_IN_MEMORY_THRESHOLD_DEFAULT, Setting.Property.IndexScope ); @@ -149,10 +189,14 @@ private ParquetSettings() {} Setting.Property.IndexScope ); - /** Batch size for reading records during merge (default 100000 rows). */ + /** + * Batch size for reading records during merge. Default scales with total RAM + * (linearly, anchored at 64 GiB → {@value #DEFAULT_MERGE_BATCH_SIZE}), clamped to + * [{@value #MERGE_BATCH_SIZE_FLOOR}, {@value #MERGE_BATCH_SIZE_CEIL}]. + */ public static final Setting MERGE_BATCH_SIZE = Setting.intSetting( "index.parquet.merge_batch_size", - 100_000, + MERGE_BATCH_SIZE_DEFAULT, 1, Setting.Property.IndexScope ); @@ -273,6 +317,42 @@ static String derivePoolMinDefault(Settings settings, int percent) { return Long.toString(Math.max(0L, nativeLimit.getBytes() * percent / 100)); } + /** + * Scales a batch-size default linearly with total physical RAM, anchored at the 64 GiB benchmark + * machine ({@link #BATCH_SIZE_ANCHOR_RAM_BYTES}), and clamps the result to [{@code floor}, {@code ceil}]. + * The base value is the default tuned on the anchor machine, and {@code factor = totalRamBytes / anchor}. + * If RAM is unavailable ({@code totalRamBytes <= 0}), falls back to the tuned default {@code base} + * with no scaling/clamping applied. + * + * @param totalRamBytes total physical RAM in bytes (e.g. {@code OsProbe.getTotalPhysicalMemorySize()}) + * @param base tuned default at the 64 GiB anchor (also the fallback value) + * @param floor fixed lower bound + * @param ceil fixed upper bound + */ + static int deriveBatchSizeDefault(long totalRamBytes, int base, int floor, int ceil) { + if (totalRamBytes <= 0) { + // Memory unavailable — fall back to the tuned default, no calculation. + return base; + } + double factor = (double) totalRamBytes / BATCH_SIZE_ANCHOR_RAM_BYTES; + long scaled = Math.round((double) base * factor); + return (int) Math.max(floor, Math.min(ceil, scaled)); + } + + /** + * Returns total physical RAM in bytes, or {@code -1} if it cannot be read for any reason. + * A negative result drives {@link #deriveBatchSizeDefault} to the tuned base default, ensuring + * settings always resolve to a sane value (and class initialization never fails) even if the + * OS probe throws. + */ + private static long safeTotalRamBytes() { + try { + return OsProbe.getInstance().getTotalPhysicalMemorySize(); + } catch (Exception e) { + return -1L; + } + } + public static final Set VALID_ENCODINGS = Set.of( "PLAIN", "RLE", @@ -762,10 +842,8 @@ public static List> getSettings() { BLOOM_FILTER_ENABLED, BLOOM_FILTER_FPP, BLOOM_FILTER_NDV, - MAX_NATIVE_ALLOCATION, MAX_ROWS_PER_VSR, SORT_IN_MEMORY_THRESHOLD, - SORT_BATCH_SIZE, ROW_GROUP_MAX_ROWS, ROW_GROUP_MAX_BYTES, MERGE_BATCH_SIZE, diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/NativeSettings.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/NativeSettings.java index d815ef3b6b999..5f5d0bec2e378 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/NativeSettings.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/NativeSettings.java @@ -28,7 +28,6 @@ public class NativeSettings { private final Double bloomFilterFpp; private final Long bloomFilterNdv; private final Long sortInMemoryThresholdBytes; - private final Integer sortBatchSize; private final Integer rowGroupMaxRows; private final Long rowGroupMaxBytes; private final Integer mergeBatchSize; @@ -55,7 +54,6 @@ private NativeSettings(Builder builder) { this.bloomFilterFpp = builder.bloomFilterFpp; this.bloomFilterNdv = builder.bloomFilterNdv; this.sortInMemoryThresholdBytes = builder.sortInMemoryThresholdBytes; - this.sortBatchSize = builder.sortBatchSize; this.rowGroupMaxRows = builder.rowGroupMaxRows; this.rowGroupMaxBytes = builder.rowGroupMaxBytes; this.mergeBatchSize = builder.mergeBatchSize; @@ -124,10 +122,6 @@ public Long getSortInMemoryThresholdBytes() { return sortInMemoryThresholdBytes; } - public Integer getSortBatchSize() { - return sortBatchSize; - } - public Integer getRowGroupMaxRows() { return rowGroupMaxRows; } @@ -199,7 +193,6 @@ public static class Builder { private Double bloomFilterFpp; private Long bloomFilterNdv; private Long sortInMemoryThresholdBytes; - private Integer sortBatchSize; private Integer rowGroupMaxRows; private Long rowGroupMaxBytes; private Integer mergeBatchSize; @@ -265,11 +258,6 @@ public Builder sortInMemoryThresholdBytes(Long v) { return this; } - public Builder sortBatchSize(Integer v) { - this.sortBatchSize = v; - return this; - } - public Builder rowGroupMaxRows(Integer v) { this.rowGroupMaxRows = v; return this; diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java index 9f0cb3893d5d6..ee55413cf6986 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java @@ -145,7 +145,6 @@ public class RustBridge { ValueLayout.JAVA_DOUBLE, // bloom_filter_fpp ValueLayout.JAVA_LONG, // bloom_filter_ndv ValueLayout.JAVA_LONG, // sort_in_memory_threshold_bytes - ValueLayout.JAVA_LONG, // sort_batch_size ValueLayout.JAVA_LONG, // row_group_max_rows ValueLayout.JAVA_LONG, // row_group_max_bytes ValueLayout.JAVA_LONG, // merge_batch_size @@ -461,7 +460,6 @@ public static void onSettingsUpdate(NativeSettings nativeSettings) throws IOExce nativeSettings.getBloomFilterFpp() != null ? nativeSettings.getBloomFilterFpp() : -1.0, nativeSettings.getBloomFilterNdv() != null ? nativeSettings.getBloomFilterNdv() : -1L, nativeSettings.getSortInMemoryThresholdBytes() != null ? nativeSettings.getSortInMemoryThresholdBytes() : -1L, - nativeSettings.getSortBatchSize() != null ? (long) nativeSettings.getSortBatchSize() : -1L, nativeSettings.getRowGroupMaxRows() != null ? (long) nativeSettings.getRowGroupMaxRows() : -1L, nativeSettings.getRowGroupMaxBytes() != null ? nativeSettings.getRowGroupMaxBytes() : -1L, nativeSettings.getMergeBatchSize() != null ? (long) nativeSettings.getMergeBatchSize() : -1L, diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/engine/ParquetIndexingEngine.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/engine/ParquetIndexingEngine.java index 32aeb27df9cf6..3216a6a5bfee5 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/engine/ParquetIndexingEngine.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/engine/ParquetIndexingEngine.java @@ -218,7 +218,6 @@ private void pushSettingsToRust() { .bloomFilterFpp(ParquetSettings.BLOOM_FILTER_FPP.get(settings)) .bloomFilterNdv(ParquetSettings.BLOOM_FILTER_NDV.get(settings)) .sortInMemoryThresholdBytes(ParquetSettings.SORT_IN_MEMORY_THRESHOLD.get(settings).getBytes()) - .sortBatchSize(ParquetSettings.SORT_BATCH_SIZE.get(settings)) .rowGroupMaxRows(ParquetSettings.ROW_GROUP_MAX_ROWS.get(settings)) .rowGroupMaxBytes(ParquetSettings.ROW_GROUP_MAX_BYTES.get(settings).getBytes()) .mergeBatchSize(ParquetSettings.MERGE_BATCH_SIZE.get(settings)) diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/memory/package-info.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/memory/package-info.java index 6271dc81824ce..1986b8aa6ffbc 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/memory/package-info.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/memory/package-info.java @@ -9,12 +9,10 @@ /** * Arrow memory management for the Parquet plugin. * - *

      This package provides a managed wrapper around Apache Arrow's {@code RootAllocator}, - * with allocation limits derived from the {@code parquet.max_native_allocation} setting. - * The pool computes the maximum allocation as a percentage of available non-heap system memory - * and provides child allocators for individual VSR instances. + *

      This package provides a managed wrapper around the unified native allocator's ingest pool + * (see {@link org.opensearch.arrow.allocator.ArrowNativeAllocator}). The pool's dynamic limit is the + * enforced constraint, and this package provides child allocators for individual VSR instances. * * @see org.opensearch.parquet.memory.ArrowBufferPool - * @see org.opensearch.parquet.ParquetSettings#MAX_NATIVE_ALLOCATION */ package org.opensearch.parquet.memory; diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs index 8d8ff9d9a9faa..0411d79bee113 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs @@ -288,7 +288,6 @@ pub unsafe extern "C" fn parquet_on_settings_update( bloom_filter_fpp: f64, bloom_filter_ndv: i64, sort_in_memory_threshold_bytes: i64, - sort_batch_size: i64, row_group_max_rows: i64, row_group_max_bytes: i64, merge_batch_size: i64, @@ -432,7 +431,6 @@ pub unsafe extern "C" fn parquet_on_settings_update( bloom_filter_fpp: opt_f64(bloom_filter_fpp), bloom_filter_ndv: opt_u64(bloom_filter_ndv), sort_in_memory_threshold_bytes: opt_u64(sort_in_memory_threshold_bytes), - sort_batch_size: opt_usize(sort_batch_size), row_group_max_rows: opt_usize(row_group_max_rows), row_group_max_bytes: opt_usize(row_group_max_bytes), merge_batch_size: opt_usize(merge_batch_size), diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs index 1dcb2b94a721a..8ba389d9a6e36 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs @@ -32,7 +32,6 @@ pub struct NativeSettings { pub reverse_sorts: Vec, pub nulls_first: Vec, pub sort_in_memory_threshold_bytes: Option, - pub sort_batch_size: Option, pub merge_batch_size: Option, pub row_group_max_rows: Option, pub row_group_max_bytes: Option, @@ -90,10 +89,6 @@ impl NativeSettings { self.sort_in_memory_threshold_bytes.unwrap_or(32 * 1024 * 1024) } - pub fn get_sort_batch_size(&self) -> usize { - self.sort_batch_size.unwrap_or(8192) - } - pub fn get_merge_batch_size(&self) -> usize { self.merge_batch_size.unwrap_or(100_000) } diff --git a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/ParquetSettingsTests.java b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/ParquetSettingsTests.java index 86ff2e4460049..6a6e0178d7ee8 100644 --- a/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/ParquetSettingsTests.java +++ b/sandbox/plugins/parquet-data-format/src/test/java/org/opensearch/parquet/ParquetSettingsTests.java @@ -292,4 +292,94 @@ public void testTypeBloomFilterMultipleTypes() { assertEquals(0.01, fpp.get("utf8"), 0.0001); assertEquals(Long.valueOf(50000L), ndv.get("int64")); } + + // --- RAM-scaled batch-size default tests --- + + private static final long GIB = 1024L * 1024 * 1024; + + public void testMaxRowsPerVsrDefaultScalesWithRam() { + int base = ParquetSettings.DEFAULT_MAX_ROWS_PER_VSR; // 65,536 @ 64 GiB + int floor = ParquetSettings.MAX_ROWS_PER_VSR_FLOOR; // 8,192 + int ceil = ParquetSettings.MAX_ROWS_PER_VSR_CEIL; // 131,072 + // Matrix (total RAM -> VSR rows) + assertEquals(8_192, ParquetSettings.deriveBatchSizeDefault(8 * GIB, base, floor, ceil)); + assertEquals(16_384, ParquetSettings.deriveBatchSizeDefault(16 * GIB, base, floor, ceil)); + assertEquals(32_768, ParquetSettings.deriveBatchSizeDefault(32 * GIB, base, floor, ceil)); + assertEquals(65_536, ParquetSettings.deriveBatchSizeDefault(64 * GIB, base, floor, ceil)); // anchor + assertEquals(131_072, ParquetSettings.deriveBatchSizeDefault(128 * GIB, base, floor, ceil)); + assertEquals(131_072, ParquetSettings.deriveBatchSizeDefault(256 * GIB, base, floor, ceil)); // capped + } + + public void testMergeBatchSizeDefaultScalesWithRam() { + int base = ParquetSettings.DEFAULT_MERGE_BATCH_SIZE; // 100,000 @ 64 GiB + int floor = ParquetSettings.MERGE_BATCH_SIZE_FLOOR; // 12,500 + int ceil = ParquetSettings.MERGE_BATCH_SIZE_CEIL; // 100,000 + assertEquals(12_500, ParquetSettings.deriveBatchSizeDefault(8 * GIB, base, floor, ceil)); + assertEquals(25_000, ParquetSettings.deriveBatchSizeDefault(16 * GIB, base, floor, ceil)); + assertEquals(50_000, ParquetSettings.deriveBatchSizeDefault(32 * GIB, base, floor, ceil)); + assertEquals(100_000, ParquetSettings.deriveBatchSizeDefault(64 * GIB, base, floor, ceil)); // anchor (== ceil) + assertEquals(100_000, ParquetSettings.deriveBatchSizeDefault(128 * GIB, base, floor, ceil)); // capped + assertEquals(100_000, ParquetSettings.deriveBatchSizeDefault(256 * GIB, base, floor, ceil)); // capped + } + + public void testBatchSizeDefaultsClampToFloorAndCeiling() { + int vsrBase = ParquetSettings.DEFAULT_MAX_ROWS_PER_VSR; + int vsrFloor = ParquetSettings.MAX_ROWS_PER_VSR_FLOOR; + int vsrCeil = ParquetSettings.MAX_ROWS_PER_VSR_CEIL; + // Below anchor/8 -> clamps to floor; far above -> clamps to ceiling. + assertEquals(vsrFloor, ParquetSettings.deriveBatchSizeDefault(2 * GIB, vsrBase, vsrFloor, vsrCeil)); + assertEquals(vsrCeil, ParquetSettings.deriveBatchSizeDefault(1024 * GIB, vsrBase, vsrFloor, vsrCeil)); + + int mrgBase = ParquetSettings.DEFAULT_MERGE_BATCH_SIZE; + int mrgFloor = ParquetSettings.MERGE_BATCH_SIZE_FLOOR; + int mrgCeil = ParquetSettings.MERGE_BATCH_SIZE_CEIL; + assertEquals(mrgFloor, ParquetSettings.deriveBatchSizeDefault(2 * GIB, mrgBase, mrgFloor, mrgCeil)); + assertEquals(mrgCeil, ParquetSettings.deriveBatchSizeDefault(1024 * GIB, mrgBase, mrgFloor, mrgCeil)); + } + + public void testSortInMemoryThresholdDefaultScalesWithRam() { + int base = ParquetSettings.SORT_IN_MEMORY_THRESHOLD_BASE_MB; // 32 MiB @ 64 GiB + int floor = ParquetSettings.SORT_IN_MEMORY_THRESHOLD_FLOOR_MB; // 16 MiB + int ceil = ParquetSettings.SORT_IN_MEMORY_THRESHOLD_CEIL_MB; // 64 MiB + // (total RAM -> sort threshold, in MiB) + assertEquals(16, ParquetSettings.deriveBatchSizeDefault(8 * GIB, base, floor, ceil)); // 4 -> floor + assertEquals(16, ParquetSettings.deriveBatchSizeDefault(16 * GIB, base, floor, ceil)); // 8 -> floor + assertEquals(16, ParquetSettings.deriveBatchSizeDefault(32 * GIB, base, floor, ceil)); // 16 + assertEquals(32, ParquetSettings.deriveBatchSizeDefault(64 * GIB, base, floor, ceil)); // anchor + assertEquals(64, ParquetSettings.deriveBatchSizeDefault(128 * GIB, base, floor, ceil)); // 64 (ceil) + assertEquals(64, ParquetSettings.deriveBatchSizeDefault(256 * GIB, base, floor, ceil)); // capped + } + + public void testSortInMemoryThresholdFallsBackToBaseWhenRamUnavailable() { + assertEquals( + ParquetSettings.SORT_IN_MEMORY_THRESHOLD_BASE_MB, + ParquetSettings.deriveBatchSizeDefault( + -1, + ParquetSettings.SORT_IN_MEMORY_THRESHOLD_BASE_MB, + ParquetSettings.SORT_IN_MEMORY_THRESHOLD_FLOOR_MB, + ParquetSettings.SORT_IN_MEMORY_THRESHOLD_CEIL_MB + ) + ); + } + + public void testBatchSizeDefaultFallsBackToBaseWhenRamUnavailable() { + assertEquals( + ParquetSettings.DEFAULT_MAX_ROWS_PER_VSR, + ParquetSettings.deriveBatchSizeDefault( + -1, + ParquetSettings.DEFAULT_MAX_ROWS_PER_VSR, + ParquetSettings.MAX_ROWS_PER_VSR_FLOOR, + ParquetSettings.MAX_ROWS_PER_VSR_CEIL + ) + ); + assertEquals( + ParquetSettings.DEFAULT_MERGE_BATCH_SIZE, + ParquetSettings.deriveBatchSizeDefault( + 0, + ParquetSettings.DEFAULT_MERGE_BATCH_SIZE, + ParquetSettings.MERGE_BATCH_SIZE_FLOOR, + ParquetSettings.MERGE_BATCH_SIZE_CEIL + ) + ); + } } From ce5f370e4129ceb5afc51150e323c370fecaa858 Mon Sep 17 00:00:00 2001 From: Marc Handalian Date: Thu, 25 Jun 2026 01:15:20 -0700 Subject: [PATCH 52/94] Surface analytics Task Cancellations and Circuit Breaking Exceptions with correct status across Flight transport (#22313) --- .../flight/transport/FlightErrorMapper.java | 9 +- .../transport/FlightClientChannelTests.java | 80 ++++++++ .../transport/FlightErrorMapperTests.java | 18 ++ .../be/datafusion/NativeErrorConverter.java | 48 +++-- .../datafusion/NativeErrorConverterTests.java | 53 +++++- .../exec/AnalyticsSearchService.java | 49 ++++- .../exec/AnalyticsSearchTransportService.java | 20 +- .../exec/AnalyticsTransportErrors.java | 115 ++++++++++++ .../analytics/exec/DefaultPlanExecutor.java | 24 ++- .../AnalyticsSearchTransportServiceTests.java | 48 +++-- .../exec/AnalyticsTransportErrorsTests.java | 168 +++++++++++++++++ .../AnalyticsQueryTaskCleanupIT.java | 172 +++++++++++++++++- .../analytics/resilience/MemoryGuardIT.java | 29 ++- .../analytics/qa/PplClickBenchIT.java | 8 +- 14 files changed, 785 insertions(+), 56 deletions(-) create mode 100644 sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsTransportErrors.java create mode 100644 sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsTransportErrorsTests.java diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightErrorMapper.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightErrorMapper.java index b8f77a49313bf..2ca5501ff442c 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightErrorMapper.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightErrorMapper.java @@ -55,10 +55,13 @@ public static FlightRuntimeException toFlightException(StreamException exception // TODO insert all entries and not just the first one flightMetadata.insert(entry.getKey(), entry.getValue().getFirst()); } - status.withMetadata(flightMetadata); + status = status.withMetadata(flightMetadata); } - status.withDescription(exception.getMessage()); - status.withCause(exception.getCause()); + // CallStatus is an immutable builder — withDescription returns a NEW instance. Without reassignment + // the description is silently dropped and the caller sees gRPC's placeholder + // ("Internal error [task_id=N]") with no message. The cause is already set by mapToCallStatus + // (the StreamException itself), so no withCause needed here. + status = status.withDescription(exception.getMessage() != null ? exception.getMessage() : "Stream error"); return status.toRuntimeException(); } diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightClientChannelTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightClientChannelTests.java index 2d513c9bd9cf9..f28820a6328ab 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightClientChannelTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightClientChannelTests.java @@ -9,6 +9,7 @@ package org.opensearch.arrow.flight.transport; import org.apache.arrow.flight.FlightClient; +import org.opensearch.ExceptionsHelper; import org.opensearch.core.action.ActionListener; import org.opensearch.core.common.bytes.BytesArray; import org.opensearch.core.common.bytes.BytesReference; @@ -266,6 +267,85 @@ public TestResponse read(StreamInput in) throws IOException { assertEquals("Simulated handler exception", handlerException.get().getMessage()); } + /** + * Wire round-trip: a {@link StreamException} with a specific {@link StreamErrorCode} sent from the + * server handler must arrive at the client as a StreamException carrying the SAME error code and + * message. This is the leg analytics relies on — {@code AnalyticsTransportErrors.toWireError} tags a + * resource-exhaustion failure RESOURCE_EXHAUSTED on the data node, and the coordinator's + * {@code fromWireError} rebuilds a 429 from the code that survives here. Flight does not serialize the + * exception type, so the code is the only signal that crosses. + */ + public void testStreamErrorCodeSurvivesWire() throws InterruptedException { + assertErrorCodeRoundTrips(StreamErrorCode.RESOURCE_EXHAUSTED, "memory budget exhausted on shard"); + assertErrorCodeRoundTrips(StreamErrorCode.UNAVAILABLE, "Network closed for unknown reason"); + } + + private void assertErrorCodeRoundTrips(StreamErrorCode code, String message) throws InterruptedException { + String action = "internal:test/stream/errorcode/" + code.name(); + CountDownLatch latch = new CountDownLatch(1); + AtomicReference received = new AtomicReference<>(); + + streamTransportService.registerRequestHandler( + action, + ThreadPool.Names.SAME, + in -> new TestRequest(in), + (request, channel, task) -> { + try { + channel.sendResponse(new StreamException(code, message)); + } catch (IOException ignored) {} + } + ); + + TransportRequestOptions options = TransportRequestOptions.builder().withType(TransportRequestOptions.Type.STREAM).build(); + TransportResponseHandler responseHandler = new TransportResponseHandler<>() { + @Override + public void handleStreamResponse(StreamTransportResponse streamResponse) { + try { + while (streamResponse.nextResponse() != null) { + } + } catch (Exception e) { + received.set(e); + try { + streamResponse.close(); + } catch (IOException ignored) {} + latch.countDown(); + } + } + + @Override + public void handleResponse(TestResponse response) { + latch.countDown(); + } + + @Override + public void handleException(TransportException exp) { + received.set(exp); + latch.countDown(); + } + + @Override + public String executor() { + return ThreadPool.Names.SAME; + } + + @Override + public TestResponse read(StreamInput in) throws IOException { + return new TestResponse(in); + } + }; + + streamTransportService.sendRequest(remoteNode, action, new TestRequest(), options, responseHandler); + + assertTrue("no error surfaced for " + code, latch.await(TIMEOUT_SEC, TimeUnit.SECONDS)); + Exception e = received.get(); + assertNotNull("expected an error for " + code, e); + StreamException se = (StreamException) ExceptionsHelper.unwrapCausesAndSuppressed(e, t -> t instanceof StreamException) + .orElse(null); + assertNotNull("error must surface as a StreamException, got: " + e, se); + assertEquals("error code must survive the wire", code, se.getErrorCode()); + assertTrue("message must survive the wire, got: " + se.getMessage(), se.getMessage() != null && se.getMessage().contains(message)); + } + public void testThreadPoolExhaustion() throws InterruptedException { ThreadPool exhaustedThreadPool = mock(ThreadPool.class); when(exhaustedThreadPool.executor(any())).thenThrow(new RejectedExecutionException("Thread pool exhausted")); diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightErrorMapperTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightErrorMapperTests.java index 69c3093893302..f899eb7c70fb8 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightErrorMapperTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightErrorMapperTests.java @@ -46,6 +46,24 @@ public void testFromFlightExceptionKeepsOnlyRelevantTrailers() { assertFalse(rendered, rendered.contains("application/grpc")); } + /** + * Round-trip: a StreamException's message + error code must survive toFlightException → back. The + * immutable-builder bug (CallStatus.withDescription's return value discarded) dropped the description, + * leaving callers with gRPC's placeholder ("Internal error [task_id=N]") and no message. + */ + public void testToFlightExceptionPreservesDescriptionAndErrorCode() { + StreamException original = new StreamException(StreamErrorCode.RESOURCE_EXHAUSTED, "memory budget exhausted on shard"); + + FlightRuntimeException flightException = FlightErrorMapper.toFlightException(original); + StreamException roundTripped = FlightErrorMapper.fromFlightException(flightException); + + assertEquals(StreamErrorCode.RESOURCE_EXHAUSTED, roundTripped.getErrorCode()); + assertTrue( + "description must survive the round-trip, got: " + roundTripped.getMessage(), + roundTripped.getMessage() != null && roundTripped.getMessage().contains("memory budget exhausted on shard") + ); + } + public void testFromFlightExceptionWithNoMetadata() { FlightRuntimeException flightException = CallStatus.UNAVAILABLE.withDescription("unavailable").toRuntimeException(); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/NativeErrorConverter.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/NativeErrorConverter.java index a58df1a12623d..ccabcf0e86fb5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/NativeErrorConverter.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/NativeErrorConverter.java @@ -8,6 +8,8 @@ package org.opensearch.be.datafusion; +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; import org.opensearch.OpenSearchStatusException; import org.opensearch.core.common.breaker.CircuitBreaker; import org.opensearch.core.common.breaker.CircuitBreakingException; @@ -36,8 +38,20 @@ */ public final class NativeErrorConverter { + private static final Logger logger = LogManager.getLogger(NativeErrorConverter.class); + private NativeErrorConverter() {} + /** + * Logs the verbose native allocator dump ("top memory consumers ... query_untracked(partitions=N,batch=8192)#id + * consumed X MB", reservation ids, plan-operator internals) server-side at WARN. It is useful for operators + * but must not reach the user, so the converted exception carries no cause — its own clean message is the + * whole user-facing story. {@code label} identifies the conversion for the server log. + */ + private static void logRawNativeError(MatchedError match, String label) { + logger.warn("[NativeErrorConverter] {} — raw native error: {}", label, match.message()); + } + /** * A pattern that matches a native error message and converts it to an OpenSearch exception. */ @@ -115,10 +129,10 @@ private static Exception convertPoolLimitExceeded(MatchedError match) { if (parsed == null) { return match.original(); } + logRawNativeError(match, "pool limit exceeded"); String message = "[analytics_backend_datafusion] Failed to allocate " + parsed[0] + " bytes (limit: " + parsed[1] + ")"; - CircuitBreakingException cbe = new CircuitBreakingException(message, parsed[0], parsed[1], CircuitBreaker.Durability.TRANSIENT); - cbe.initCause(match.original()); - return cbe; + // No cause attached: the raw native error carries the allocator dump and stays in the server log only. + return new CircuitBreakingException(message, parsed[0], parsed[1], CircuitBreaker.Durability.TRANSIENT); } private static Exception convertPoolLimitFromControlled(MatchedError match) { @@ -126,25 +140,29 @@ private static Exception convertPoolLimitFromControlled(MatchedError match) { if (parsed == null) { return match.original(); } - CircuitBreakingException cbe = new CircuitBreakingException( - match.message(), - parsed[0], - parsed[1], - CircuitBreaker.Durability.TRANSIENT - ); - cbe.initCause(match.original()); - return cbe; + logRawNativeError(match, "pool limit exceeded (controlled)"); + // Rebuild the message from the parsed numbers only (the matched message may carry an appended + // native consumer dump); never echo match.message() verbatim. + String message = "[analytics_backend_datafusion] Failed to allocate " + parsed[0] + " bytes (limit: " + parsed[1] + ")"; + return new CircuitBreakingException(message, parsed[0], parsed[1], CircuitBreaker.Durability.TRANSIENT); } private static Exception convertAdmissionRejection(MatchedError match) { - return new OpenSearchStatusException(ADMISSION_REJECTED_MSG, RestStatus.TOO_MANY_REQUESTS, match.original()); + // Log the raw native budget detail server-side; don't attach it as a user-facing cause. + logRawNativeError(match, "admission rejected"); + return new OpenSearchStatusException(ADMISSION_REJECTED_MSG, RestStatus.TOO_MANY_REQUESTS); } private static Exception convertSpillPoolExhausted(MatchedError match) { + logRawNativeError(match, "spill pool exhausted"); // Bytes/limit aren't part of this DataFusion message; surface 0/0 to keep the type contract. - CircuitBreakingException cbe = new CircuitBreakingException(match.message(), 0L, 0L, CircuitBreaker.Durability.TRANSIENT); - cbe.initCause(match.original()); - return cbe; + // Use a fixed clean message — the raw DataFusion text can carry operator internals. + return new CircuitBreakingException( + "[analytics_backend_datafusion] memory pool exhausted (spill unavailable)", + 0L, + 0L, + CircuitBreaker.Durability.TRANSIENT + ); } private static Exception convertRecursionLimit(MatchedError match) { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeErrorConverterTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeErrorConverterTests.java index a80a80321ef80..bd985222bd28b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeErrorConverterTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeErrorConverterTests.java @@ -30,7 +30,29 @@ public void testPoolLimitExceededConvertsToCircuitBreakingException() { assertEquals(4294967296L, cbe.getByteLimit()); assertEquals(CircuitBreaker.Durability.TRANSIENT, cbe.getDurability()); assertEquals("[analytics_backend_datafusion] Failed to allocate 1048576 bytes (limit: 4294967296)", cbe.getMessage()); - assertSame(original, cbe.getCause()); + // The raw native error (with allocator internals) must NOT be attached as the user-facing cause. + assertNull("converted exception must carry no cause (raw native detail stays server-side)", cbe.getCause()); + assertNoNativeLeak(cbe); + } + + /** Asserts the rendered exception (message + cause chain) carries no raw native allocator internals. */ + private static void assertNoNativeLeak(Throwable t) { + StringBuilder sb = new StringBuilder(); + for (Throwable c = t; c != null && c != c.getCause(); c = c.getCause()) { + sb.append(c.getClass().getName()).append(':').append(c.getMessage()).append('\n'); + } + String rendered = sb.toString(); + for (String leak : new String[] { + "top memory consumers", + "query_untracked", + "can spill", + "already reserved", + "GroupedHashAggregateStream", + "RepartitionExec", + "batch_size", + "avg_row_bytes" }) { + assertFalse("must not leak native detail '" + leak + "' to the user, got: " + rendered, rendered.contains(leak)); + } } public void testPoolLimitExceededUsesControlledMessage() { @@ -55,7 +77,8 @@ public void testAdmissionRejectionConvertsToStatusException() { OpenSearchStatusException statusEx = (OpenSearchStatusException) result; assertEquals(RestStatus.TOO_MANY_REQUESTS, statusEx.status()); assertEquals("Native query admission rejected: insufficient memory budget available", result.getMessage()); - assertSame(original, result.getCause()); + assertNull("converted exception must carry no cause (raw native detail stays server-side)", result.getCause()); + assertNoNativeLeak(result); } public void testCriticalPressureCancellationConvertsToCircuitBreakingException() { @@ -72,7 +95,8 @@ public void testCriticalPressureCancellationConvertsToCircuitBreakingException() assertEquals(65536L, cbe.getBytesWanted()); assertEquals(4294967296L, cbe.getByteLimit()); assertEquals(CircuitBreaker.Durability.TRANSIENT, cbe.getDurability()); - assertSame(original, cbe.getCause()); + assertNull("converted exception must carry no cause (raw native detail stays server-side)", cbe.getCause()); + assertNoNativeLeak(cbe); } public void testSpillPoolExhaustedConvertsToCircuitBreakingException() { @@ -86,7 +110,28 @@ public void testSpillPoolExhaustedConvertsToCircuitBreakingException() { assertTrue(result instanceof CircuitBreakingException); CircuitBreakingException cbe = (CircuitBreakingException) result; assertEquals(CircuitBreaker.Durability.TRANSIENT, cbe.getDurability()); - assertSame(original, cbe.getCause()); + assertNull("converted exception must carry no cause (raw native detail stays server-side)", cbe.getCause()); + assertNoNativeLeak(cbe); + } + + /** + * The real staging TopK message: a controlled "[analytics_backend_datafusion] Failed to allocate N bytes + * (limit: L)" with the verbose native allocator dump appended. The converted exception must keep the clean + * numeric message and NOT echo the consumer breakdown anywhere in its rendered chain. + */ + public void testTopKConsumerDumpIsSanitized() { + String message = "[analytics_backend_datafusion] Failed to allocate 307848 bytes (limit: 27673548029)\n" + + "Execution error: Resources exhausted: Additional allocation failed for TopK[0] with top memory consumers " + + "(across reservations) as:\n query_untracked(partitions=4,batch=8192)#49492(can spill: true) consumed 20.7 MB, " + + "peak 20.7 MB.\nError: Failed to allocate 307848 bytes for TopK[0] (0 already reserved) " + + "— 0 available out of 27673548029 limit"; + RuntimeException original = new RuntimeException(message); + + Exception result = NativeErrorConverter.convert(original); + + assertTrue(result instanceof CircuitBreakingException); + assertEquals("[analytics_backend_datafusion] Failed to allocate 307848 bytes (limit: 27673548029)", result.getMessage()); + assertNoNativeLeak(result); } public void testRawRecursionLimitConvertsToIllegalArgumentException() { diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java index 2da84ff3e8815..8a8aebc4f23f7 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchService.java @@ -12,6 +12,7 @@ import org.apache.arrow.vector.BigIntVector; import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.apache.logging.log4j.message.ParameterizedMessage; import org.opensearch.OpenSearchException; import org.opensearch.analytics.backend.AnalyticsOperationListener; import org.opensearch.analytics.backend.EngineResultBatch; @@ -147,10 +148,35 @@ private ResolvedExecution executeFragmentStreamingResolved( throw e; } catch (Exception e) { listener.onFragmentFailure(resolved.queryId, resolved.stageId, resolved.shardIdStr, e); + // Log the original failure with its full stack at the origin: the thrown exception is handed + // to async dispatch / stream transport and can be re-wrapped or swallowed downstream, so this + // is the one place guaranteed to see the real cause and stack. + LOGGER.warn( + new ParameterizedMessage( + "[FragmentExecution] failed to start streaming fragment on shard={} queryId={} stageId={}", + shard.shardId(), + resolved.queryId, + resolved.stageId + ), + e + ); + // Convert native errors (e.g. memory-pool / admission trips) to typed exceptions via the + // ACTUALLY-SELECTED backend so a resource-exhaustion failure surfaces as 429 instead of a + // generic 500. Only wrap as a generic RuntimeException when conversion found nothing. + Exception converted = convertWith(resolved.plan().getBackendId(), e); + if (converted != e) { + throw converted instanceof RuntimeException re ? re : new RuntimeException(converted); + } throw new RuntimeException("Failed to start streaming fragment on " + shard.shardId(), e); } } + /** Converts {@code e} via the named backend's exception SPI; returns {@code e} unchanged if the backend is absent or doesn't recognize it. */ + private Exception convertWith(String backendId, Exception e) { + AnalyticsSearchBackendPlugin backend = backends.get(backendId); + return backend == null ? e : backend.convertException(e); + } + private record ResolvedExecution(FragmentResources resources, ResolvedFragment resolved) implements AutoCloseable { @Override public void close() throws Exception { @@ -229,7 +255,7 @@ public void executeFragmentStreamingAsync( } catch (Exception e) { // Query phase failed: no fetch will follow, so free the reader eagerly (no-op if already freed). readerContextStore.freeContext(request.getQueryId(), shard.shardId()); - responseHandler.onFailure(e); + responseHandler.onFailure(convertWith(selectedBackendId(request), e)); } }); } catch (Exception e) { @@ -352,7 +378,10 @@ private void drainFetchByRowIds( if (rowIdVector != null) rowIdVector.close(); // Fetch is terminal: free the reader eagerly. readerContextStore.releaseAndFree(request.getQueryId(), shard.shardId()); - responseHandler.onFailure(new RuntimeException("Failed to execute fetch-by-row-ids on " + shard.shardId(), e)); + Exception converted = backend.convertException(e); + responseHandler.onFailure( + converted == e ? new RuntimeException("Failed to execute fetch-by-row-ids on " + shard.shardId(), e) : converted + ); return; } // On cancel, release a fetch parked in the native pull via cooperative cancellation, not @@ -365,7 +394,7 @@ private void drainFetchByRowIds( } responseHandler.onComplete(); } catch (Exception e) { - responseHandler.onFailure(e); + responseHandler.onFailure(backend.convertException(e)); } finally { task.clearCancellationListener(); } @@ -527,6 +556,20 @@ private record ResolvedFragment(IndexReaderProvider readerProvider, FragmentExec int stageId, String shardIdStr) { } + /** + * Backend id of the plan alternative {@code request} will actually run — the first whose backend is + * registered locally. Mirrors {@link #resolveFragment}'s selection so exception conversion uses the + * same backend that produced the failure. Returns null if none is registered. + */ + private String selectedBackendId(FragmentExecutionRequest request) { + for (FragmentExecutionRequest.PlanAlternative alt : request.getPlanAlternatives()) { + if (backends.containsKey(alt.getBackendId())) { + return alt.getBackendId(); + } + } + return null; + } + private ResolvedFragment resolveFragment(FragmentExecutionRequest request, IndexShard shard) { IndexReaderProvider readerProvider = shard.getReaderProvider(); if (readerProvider == null) { diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java index f03e90c4be41e..35ddc73226605 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsSearchTransportService.java @@ -30,6 +30,7 @@ import org.opensearch.tasks.Task; import org.opensearch.tasks.TaskResourceTrackingService; import org.opensearch.threadpool.ThreadPool; +import org.opensearch.transport.ConnectTransportException; import org.opensearch.transport.StreamTransportService; import org.opensearch.transport.Transport; import org.opensearch.transport.TransportChannel; @@ -200,7 +201,7 @@ public void onCompleteWithMetrics(byte[] metrics) { @Override public void onFailure(Exception e) { try { - channel.sendResponse(e); + channel.sendResponse(AnalyticsTransportErrors.toWireError(e)); } catch (Exception sendException) { throw new RuntimeException(sendException); } @@ -218,8 +219,13 @@ private static void closeResponseQuietly(FragmentExecutionArrowResponse response } catch (Exception ignore) {} } - Transport.Connection getConnection(String clusterAlias, String nodeId) { - DiscoveryNode node = clusterService.state().nodes().get(nodeId); + Transport.Connection getConnection(DiscoveryNode node) { + if (node == null) { + // The target left the cluster between planning and dispatch. Surface a clean + // ConnectTransportException instead of letting a null node reach the connection + // manager, where it NPEs ("Cannot invoke Object.hashCode() because key is null"). + throw new ConnectTransportException(null, "target node left the cluster before dispatch"); + } return transportService.getConnection(node); } @@ -344,7 +350,7 @@ public void handleStreamResponse(StreamTransportResponse { try { - Transport.Connection connection = getConnection(null, targetNode.getId()); + Transport.Connection connection = getConnection(targetNode); transportService.sendChildRequest(connection, actionName, request, parentTask, options, handler); } catch (Exception e) { try { - listener.onFailure(e); + listener.onFailure(AnalyticsTransportErrors.fromWireError(e)); } finally { pending.finishAndRunNext(); } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsTransportErrors.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsTransportErrors.java new file mode 100644 index 0000000000000..38ada4e8f848b --- /dev/null +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/AnalyticsTransportErrors.java @@ -0,0 +1,115 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.exec; + +import org.opensearch.ExceptionsHelper; +import org.opensearch.OpenSearchException; +import org.opensearch.OpenSearchStatusException; +import org.opensearch.core.common.breaker.CircuitBreaker; +import org.opensearch.core.common.breaker.CircuitBreakingException; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.core.tasks.TaskCancelledException; +import org.opensearch.transport.stream.StreamErrorCode; +import org.opensearch.transport.stream.StreamException; + +/** + * Error mapping for the two ends of an analytics shard RPC over Flight stream transport. + * + *

      Flight does not serialize the Java exception type — only a {@link StreamErrorCode} and a + * description string survive the wire. So a typed failure on the data node (e.g. a memory-gate + * {@link CircuitBreakingException}, HTTP 429) would otherwise reach the coordinator as a typeless + * {@code INTERNAL} error and surface to the user as a generic 500. These two methods are a matched + * pair that preserves the status across the wire via the error code: + * + *

        + *
      • {@link #toWireError} — data-node send side: tag a resource-exhaustion failure as + * {@link StreamErrorCode#RESOURCE_EXHAUSTED} before it crosses Flight. + *
      • {@link #fromWireError} — coordinator receive side: rebuild a typed exception with the + * right HTTP status from the {@link StreamException} that crossed the wire. + *
      + * + * Cause-chain walks use {@link ExceptionsHelper#unwrapCausesAndSuppressed} (cycle-safe). + * + * @opensearch.internal + */ +final class AnalyticsTransportErrors { + + private AnalyticsTransportErrors() {} + + /** + * Data-node send side. Tags a typed failure with the right {@link StreamErrorCode} so the signal + * survives Flight (which doesn't serialize the exception type) and the coordinator can rebuild it + * in {@link #fromWireError}: + *
        + *
      • HTTP-429 {@link OpenSearchException} (circuit breaker / admission rejection) → + * {@link StreamErrorCode#RESOURCE_EXHAUSTED}. + *
      • {@link TaskCancelledException} (e.g. SBP cancellation) → {@link StreamErrorCode#CANCELLED} — + * otherwise it crosses as INTERNAL and surfaces as a generic 500/ISE that clients retry. + *
      + * Other failures pass through unchanged. + */ + static Exception toWireError(Exception e) { + Throwable resourceExhausted = ExceptionsHelper.unwrapCausesAndSuppressed( + e, + t -> t instanceof OpenSearchException ose && ose.status() == RestStatus.TOO_MANY_REQUESTS + ).orElse(null); + if (resourceExhausted != null) { + return new StreamException(StreamErrorCode.RESOURCE_EXHAUSTED, resourceExhausted.getMessage(), e); + } + Throwable cancelled = ExceptionsHelper.unwrapCausesAndSuppressed(e, t -> t instanceof TaskCancelledException).orElse(null); + if (cancelled != null) { + return new StreamException(StreamErrorCode.CANCELLED, cancelled.getMessage(), e); + } + return e; + } + + /** + * Coordinator receive side. Inverse of {@link #toWireError}: maps a {@link StreamException} that + * crossed transport back to a typed exception, so a shard-side failure doesn't surface to the user + * as a generic 500: + *
        + *
      • {@link StreamErrorCode#RESOURCE_EXHAUSTED} → {@link CircuitBreakingException} (429) — a + * memory-pool / breaker trip. + *
      • {@link StreamErrorCode#UNAVAILABLE} → 503 {@link OpenSearchStatusException} — a transport + * drop (node gone, connection reset) is "service unavailable", not an internal error. + *
      • {@link StreamErrorCode#CANCELLED} → {@link TaskCancelledException} — a shard cancel (e.g. SBP) + * stays a recognizable cancellation instead of degrading to a generic ISE that clients would retry. + *
      + * Anything else passes through unchanged. + */ + static Exception fromWireError(Exception e) { + StreamException se = ExceptionsHelper.unwrapCausesAndSuppressed( + e, + t -> t instanceof StreamException s + && (s.getErrorCode() == StreamErrorCode.RESOURCE_EXHAUSTED + || s.getErrorCode() == StreamErrorCode.UNAVAILABLE + || s.getErrorCode() == StreamErrorCode.CANCELLED) + ).orElse(null); + if (se == null) { + return e; + } + String message = se.getMessage(); + if (se.getErrorCode() == StreamErrorCode.RESOURCE_EXHAUSTED) { + // CircuitBreakingException has no cause-accepting ctor; attach the wire exception via initCause + // so the original StreamException/stack is kept for server-side troubleshooting. + CircuitBreakingException breaker = new CircuitBreakingException( + message != null ? message : "circuit breaking exception", + CircuitBreaker.Durability.TRANSIENT + ); + breaker.initCause(e); + return breaker; + } + if (se.getErrorCode() == StreamErrorCode.CANCELLED) { + TaskCancelledException cancelled = new TaskCancelledException(message != null ? message : "task cancelled"); + cancelled.initCause(e); + return cancelled; + } + return new OpenSearchStatusException(message != null ? message : "service unavailable", RestStatus.SERVICE_UNAVAILABLE, e); + } +} diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java index 71d89b408a075..c48fd3b701d39 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java @@ -18,6 +18,7 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; import org.opensearch.ExceptionsHelper; +import org.opensearch.OpenSearchException; import org.opensearch.action.support.ActionFilters; import org.opensearch.action.support.HandledTransportAction; import org.opensearch.action.support.TimeoutTaskCancellationUtility; @@ -411,8 +412,14 @@ protected void doExecute(Task task, AnalyticsQueryRequest request, ActionListene // immediately. The listener is wrapped to convert backend-specific exceptions. ActionListener convertingListener = ActionListener.wrap(listener::onResponse, e -> { Exception converted = e instanceof Exception ex ? contextProvider.convertException(ex) : new RuntimeException(e); - // If convertException returned unrecognized 500 — redact internal details and log the original. - if (converted == e && isInternalError(converted)) { + // A typed status (e.g. a 429 breaker) often arrives buried in a wrapper — + // ShardFragmentStageExecution reports shard failures as RuntimeException("Stage N failed", cause), + // so isInternalError (top-level only) would redact it to a generic 500 and drop the chain. Surface + // the buried status-bearing exception directly so 429/503 reach the client instead of an opaque 500. + Exception statusBearing = statusBearingCause(converted); + if (statusBearing != null) { + listener.onFailure(statusBearing); + } else if (converted == e && isInternalError(converted)) { AnalyticsQueryTask queryTask = (AnalyticsQueryTask) task; String queryId = queryTask.getQueryId(); String identifier = "unassigned".equals(queryId) @@ -466,6 +473,19 @@ private static boolean isInternalError(Exception e) { return ExceptionsHelper.status(e) == RestStatus.INTERNAL_SERVER_ERROR; } + /** + * Walks the cause/suppressed chain for a typed {@link OpenSearchException} carrying a non-500 status + * (e.g. a 429 breaker wrapped as {@code RuntimeException("Stage N failed", cbe)}). Returns it so the + * real status reaches the client instead of being redacted to a generic 500; null when the failure is + * genuinely internal and the redaction path should run. + */ + static Exception statusBearingCause(Exception converted) { + return ExceptionsHelper.unwrapCausesAndSuppressed( + converted, + t -> t instanceof OpenSearchException ose && ose.status() != RestStatus.INTERNAL_SERVER_ERROR + ).map(t -> (Exception) t).orElse(null); + } + /** * Materializes Arrow batches into row-oriented {@code Object[]}s for the * external query API. The scheduler yields batches (the native wire format); diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsSearchTransportServiceTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsSearchTransportServiceTests.java index 634157474d96c..cbdf8327aedd3 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsSearchTransportServiceTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsSearchTransportServiceTests.java @@ -19,15 +19,14 @@ import org.opensearch.analytics.exec.action.FragmentExecutionAction; import org.opensearch.analytics.exec.action.FragmentExecutionArrowResponse; import org.opensearch.analytics.exec.action.FragmentExecutionRequest; -import org.opensearch.cluster.ClusterState; import org.opensearch.cluster.node.DiscoveryNode; -import org.opensearch.cluster.node.DiscoveryNodes; import org.opensearch.cluster.service.ClusterService; import org.opensearch.indices.IndicesService; import org.opensearch.tasks.Task; import org.opensearch.tasks.TaskResourceTrackingService; import org.opensearch.test.OpenSearchTestCase; import org.opensearch.threadpool.ThreadPool; +import org.opensearch.transport.ConnectTransportException; import org.opensearch.transport.StreamTransportService; import org.opensearch.transport.Transport; import org.opensearch.transport.TransportResponseHandler; @@ -131,15 +130,6 @@ private TransportResponseHandler captureHandler( ClusterService clusterService = mock(ClusterService.class); TaskResourceTrackingService taskResourceTrackingService = mock(TaskResourceTrackingService.class); - // getConnection(null, nodeId) -> clusterService.state().nodes().get(nodeId) -> getConnection(node) - DiscoveryNode node = mock(DiscoveryNode.class); - DiscoveryNodes nodes = mock(DiscoveryNodes.class); - ClusterState state = mock(ClusterState.class); - when(clusterService.state()).thenReturn(state); - when(state.nodes()).thenReturn(nodes); - when(nodes.get(any())).thenReturn(node); - when(transportService.getConnection(node)).thenReturn(mock(Transport.Connection.class)); - AnalyticsSearchTransportService service = new AnalyticsSearchTransportService( transportService, clusterService, @@ -163,8 +153,10 @@ private TransportResponseHandler captureHandler( handlerCaptor.capture() ); + // dispatch looks up the connection directly from the passed DiscoveryNode (no cluster-state re-resolution). DiscoveryNode target = mock(DiscoveryNode.class); when(target.getId()).thenReturn("node-1"); + when(transportService.getConnection(target)).thenReturn(mock(Transport.Connection.class)); service.dispatchFragmentStreaming( mock(FragmentExecutionRequest.class), target, @@ -178,6 +170,40 @@ private TransportResponseHandler captureHandler( return handlers.get(handlers.size() - 1); } + /** + * Node churn: the target node has left the cluster by the time we dispatch (a null + * {@link DiscoveryNode}). The connection lookup must surface a clean {@link ConnectTransportException} + * — NOT a NullPointerException ("Cannot invoke Object.hashCode() because key is null") that escapes + * from the connection manager. Guards the production NPE seen under node churn. + */ + public void testGetConnectionWithNullNodeThrowsConnectExceptionNotNpe() { + StreamTransportService transportService = mock(StreamTransportService.class); + AnalyticsSearchService searchService = mock(AnalyticsSearchService.class); + IndicesService indicesService = mock(IndicesService.class); + ClusterService clusterService = mock(ClusterService.class); + TaskResourceTrackingService taskResourceTrackingService = mock(TaskResourceTrackingService.class); + + AnalyticsSearchTransportService service = new AnalyticsSearchTransportService( + transportService, + clusterService, + searchService, + indicesService, + taskResourceTrackingService + ); + + Exception thrown = expectThrows(ConnectTransportException.class, () -> service.getConnection(null)); + assertFalse( + "must not be a NullPointerException (got " + thrown + ")", + thrown instanceof NullPointerException || thrown.getCause() instanceof NullPointerException + ); + + // And a present node is looked up directly via the stream transport (no cluster-state re-resolution). + DiscoveryNode node = mock(DiscoveryNode.class); + Transport.Connection conn = mock(Transport.Connection.class); + when(transportService.getConnection(node)).thenReturn(conn); + assertSame(conn, service.getConnection(node)); + } + private static VectorSchemaRoot newIntRoot(BufferAllocator allocator, String name, int value) { Field field = new Field(name, FieldType.nullable(new ArrowType.Int(32, true)), null); Schema schema = new Schema(singletonList(field)); diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsTransportErrorsTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsTransportErrorsTests.java new file mode 100644 index 0000000000000..13e4f0153bb99 --- /dev/null +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/exec/AnalyticsTransportErrorsTests.java @@ -0,0 +1,168 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.exec; + +import org.opensearch.OpenSearchStatusException; +import org.opensearch.core.common.breaker.CircuitBreaker; +import org.opensearch.core.common.breaker.CircuitBreakingException; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.core.tasks.TaskCancelledException; +import org.opensearch.test.OpenSearchTestCase; +import org.opensearch.transport.stream.StreamErrorCode; +import org.opensearch.transport.stream.StreamException; + +/** + * Tests the shard-send / coordinator-receive error-mapping pair in {@link AnalyticsTransportErrors}. + */ +public class AnalyticsTransportErrorsTests extends OpenSearchTestCase { + + // ── toWireError (data-node send side) ───────────────────────────────── + + public void testToWireErrorTagsBreakerAsResourceExhausted() { + CircuitBreakingException breaker = new CircuitBreakingException("pool full", 100, 50, CircuitBreaker.Durability.TRANSIENT); + + Exception wire = AnalyticsTransportErrors.toWireError(breaker); + + assertTrue(wire instanceof StreamException); + assertEquals(StreamErrorCode.RESOURCE_EXHAUSTED, ((StreamException) wire).getErrorCode()); + assertEquals("pool full", wire.getMessage()); + } + + public void testToWireErrorTagsAny429OpenSearchException() { + OpenSearchStatusException admission = new OpenSearchStatusException("admission rejected", RestStatus.TOO_MANY_REQUESTS); + + Exception wire = AnalyticsTransportErrors.toWireError(admission); + + assertTrue(wire instanceof StreamException); + assertEquals(StreamErrorCode.RESOURCE_EXHAUSTED, ((StreamException) wire).getErrorCode()); + } + + public void testToWireErrorFindsBreakerInCauseChain() { + Exception wrapped = new RuntimeException( + "Stage 0 failed", + new CircuitBreakingException("nested", 1, 1, CircuitBreaker.Durability.TRANSIENT) + ); + + Exception wire = AnalyticsTransportErrors.toWireError(wrapped); + + assertTrue(wire instanceof StreamException); + assertEquals(StreamErrorCode.RESOURCE_EXHAUSTED, ((StreamException) wire).getErrorCode()); + } + + public void testToWireErrorPassesThroughNonResourceFailure() { + Exception other = new IllegalStateException("not a breaker"); + assertSame(other, AnalyticsTransportErrors.toWireError(other)); + } + + public void testToWireErrorTagsTaskCancelledAsCancelled() { + TaskCancelledException cancelled = new TaskCancelledException("sbp cancel"); + + Exception wire = AnalyticsTransportErrors.toWireError(cancelled); + + assertTrue(wire instanceof StreamException); + assertEquals(StreamErrorCode.CANCELLED, ((StreamException) wire).getErrorCode()); + assertEquals("sbp cancel", wire.getMessage()); + } + + public void testToWireErrorFindsTaskCancelledInCauseChain() { + Exception wrapped = new RuntimeException("Stage 0 failed", new TaskCancelledException("sbp cancel nested")); + + Exception wire = AnalyticsTransportErrors.toWireError(wrapped); + + assertTrue(wire instanceof StreamException); + assertEquals(StreamErrorCode.CANCELLED, ((StreamException) wire).getErrorCode()); + } + + public void testToWireErrorIsCycleSafe() { + // A self-referential cause chain must not loop forever (ExceptionsHelper uses an identity set). + Exception a = new RuntimeException("a"); + Exception b = new RuntimeException("b", a); + a.initCause(b); + assertSame(a, AnalyticsTransportErrors.toWireError(a)); + } + + // ── fromWireError (coordinator receive side) ────────────────────────── + + public void testFromWireErrorRebuildsBreakerFromResourceExhausted() { + StreamException wire = new StreamException(StreamErrorCode.RESOURCE_EXHAUSTED, "pool full on shard"); + + Exception recovered = AnalyticsTransportErrors.fromWireError(wire); + + assertTrue(recovered instanceof CircuitBreakingException); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((CircuitBreakingException) recovered).status()); + assertEquals("pool full on shard", recovered.getMessage()); + } + + public void testFromWireErrorMapsUnavailableTo503() { + StreamException wire = new StreamException(StreamErrorCode.UNAVAILABLE, "Network closed for unknown reason"); + + Exception recovered = AnalyticsTransportErrors.fromWireError(wire); + + assertTrue(recovered instanceof OpenSearchStatusException); + assertEquals(RestStatus.SERVICE_UNAVAILABLE, ((OpenSearchStatusException) recovered).status()); + } + + public void testFromWireErrorFindsCodeInCauseChain() { + Exception wrapped = new RuntimeException("Stage 0 failed", new StreamException(StreamErrorCode.RESOURCE_EXHAUSTED, "breaker")); + + Exception recovered = AnalyticsTransportErrors.fromWireError(wrapped); + + assertTrue(recovered instanceof CircuitBreakingException); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((CircuitBreakingException) recovered).status()); + } + + public void testFromWireErrorPassesThroughOtherCodes() { + StreamException wire = new StreamException(StreamErrorCode.INTERNAL, "boom"); + assertSame(wire, AnalyticsTransportErrors.fromWireError(wire)); + } + + public void testFromWireErrorRebuildsTaskCancelledFromCancelled() { + StreamException wire = new StreamException(StreamErrorCode.CANCELLED, "task cancelled by search backpressure"); + + Exception recovered = AnalyticsTransportErrors.fromWireError(wire); + + assertTrue( + "CANCELLED must surface as TaskCancelledException, not ISE (got " + recovered.getClass().getName() + ")", + recovered instanceof TaskCancelledException + ); + assertEquals("task cancelled by search backpressure", recovered.getMessage()); + } + + public void testFromWireErrorPassesThroughNonStreamException() { + Exception other = new IllegalArgumentException("bad query"); + assertSame(other, AnalyticsTransportErrors.fromWireError(other)); + } + + // ── round-trip ──────────────────────────────────────────────────────── + + public void testBreakerSurvivesRoundTripAs429() { + CircuitBreakingException breaker = new CircuitBreakingException("limit hit", 100, 50, CircuitBreaker.Durability.TRANSIENT); + + // shard tags it → (Flight would carry the code) → coordinator rebuilds it. + Exception onWire = AnalyticsTransportErrors.toWireError(breaker); + Exception recovered = AnalyticsTransportErrors.fromWireError(onWire); + + assertTrue(recovered instanceof CircuitBreakingException); + assertEquals(RestStatus.TOO_MANY_REQUESTS, ((CircuitBreakingException) recovered).status()); + assertEquals("limit hit", recovered.getMessage()); + } + + public void testTaskCancelledSurvivesRoundTripAsTaskCancelled() { + TaskCancelledException cancelled = new TaskCancelledException("sbp cancel"); + + Exception onWire = AnalyticsTransportErrors.toWireError(cancelled); + Exception recovered = AnalyticsTransportErrors.fromWireError(onWire); + + assertTrue( + "round-tripped CANCELLED must remain TaskCancelledException (got " + recovered.getClass().getName() + ")", + recovered instanceof TaskCancelledException + ); + assertEquals("sbp cancel", recovered.getMessage()); + } +} diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java index 6d036441acd64..832b79c308024 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/cancellation/AnalyticsQueryTaskCleanupIT.java @@ -10,7 +10,9 @@ import org.apache.logging.log4j.LogManager; import org.apache.logging.log4j.Logger; +import org.opensearch.ExceptionsHelper; import org.opensearch.Version; +import org.opensearch.OpenSearchException; import org.opensearch.action.admin.cluster.node.tasks.cancel.CancelTasksResponse; import org.opensearch.action.admin.cluster.node.tasks.list.ListTasksResponse; import org.opensearch.action.admin.indices.create.CreateIndexResponse; @@ -26,6 +28,7 @@ import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.FeatureFlags; import org.opensearch.composite.CompositeDataFormatPlugin; +import org.opensearch.core.rest.RestStatus; import org.opensearch.core.tasks.TaskCancelledException; import org.opensearch.index.engine.dataformat.stub.MockCommitterEnginePlugin; import org.opensearch.parquet.ParquetOnlyDataFormatPlugin; @@ -38,6 +41,8 @@ import org.opensearch.test.OpenSearchIntegTestCase; import org.opensearch.test.transport.MockTransportService; import org.opensearch.transport.TransportService; +import org.opensearch.transport.stream.StreamErrorCode; +import org.opensearch.transport.stream.StreamException; import java.util.Collection; import java.util.Collections; @@ -124,6 +129,7 @@ protected Settings nodeSettings(int nodeOrdinal) { .put(super.nodeSettings(nodeOrdinal)) .put(FeatureFlags.PLUGGABLE_DATAFORMAT_EXPERIMENTAL_FLAG, true) .put(FeatureFlags.STREAM_TRANSPORT, true) + .put("datafusion.spill_directory", createTempDir().toString()) .build(); } @@ -217,6 +223,16 @@ private PPLResponse executePPL(String ppl, TimeValue timeout) { return client().execute(UnifiedPPLExecuteAction.INSTANCE, new PPLRequest(ppl)).actionGet(timeout); } + /** Returns {@code target} if any OpenSearchException in {@code t}'s cause chain reports it, else null. */ + private static RestStatus firstStatus(Throwable t, RestStatus target) { + for (Throwable c = t; c != null && c != c.getCause(); c = c.getCause()) { + if (c instanceof OpenSearchException ose && ose.status() == target) { + return ose.status(); + } + } + return null; + } + private void assertNoResidualTasks(String action) throws Exception { assertBusy(() -> { ListTasksResponse tasks = client().admin().cluster().prepareListTasks().setActions(action).get(); @@ -244,6 +260,134 @@ public void testSuccessfulQueryLeavesNoResidualAnalyticsTask() throws Exception assertNoResidualTasks(FragmentExecutionAction.NAME); } + /** + * The REAL native pool-exhaustion path (no injection): squeeze {@code datafusion.memory_pool_limit_bytes} + * to 1 so a GROUP BY aggregation trips the native memory pool on the shard. The native error + * ("Failed to allocate …") is NOT a {@code CircuitBreakingException} object — it is converted to one on + * the data node by the backend's {@code convertException} SPI ({@code NativeErrorConverter}) before it + * crosses transport, then tagged RESOURCE_EXHAUSTED ({@code AnalyticsTransportErrors.toWireError}) and + * rebuilt into a breaker at the coordinator ({@code AnalyticsTransportErrors.fromWireError}). Without the + * data-node conversion the raw native error crosses as a typeless INTERNAL error and surfaces as HTTP 500 + * ("Stage 0 failed"). This is the path {@code MemoryGuardIT} exercises; here we assert the unwrapped + * 429 and clean teardown. + */ + public void testRealNativePoolExhaustionSurfacesAs429AndCleansUp() throws Exception { + createAndSeedIndex(); + // Squeeze the native pool so any aggregation allocation trips it. + assertTrue( + client().admin() + .cluster() + .prepareUpdateSettings() + .setTransientSettings(Settings.builder().put("datafusion.memory_pool_limit_bytes", 1L)) + .get() + .isAcknowledged() + ); + try { + Throwable failure = null; + PPLResponse response = null; + try { + response = executePPL("source = " + INDEX + " | stats count() by value", QUERY_TIMEOUT); + } catch (Throwable t) { + failure = t; + } + assertNotNull("native pool exhaustion must fail the query, not return (response=" + response + ")", failure); + // The contract is the STATUS (429), not a specific class: a native pool/admission trip is + // converted on the data node to either a CircuitBreakingException or an OpenSearchStatusException + // (admission-rejected), both of which report TOO_MANY_REQUESTS. Find the 429-bearing exception + // anywhere in the surfaced cause chain. + RestStatus status = firstStatus(failure, RestStatus.TOO_MANY_REQUESTS); + assertEquals( + "a native memory-pool trip must surface as HTTP 429 (got " + failure.getClass().getName() + ": " + failure + .getMessage() + ")", + RestStatus.TOO_MANY_REQUESTS, + status + ); + assertNoNativeLeak(failure); + } finally { + // Reset so other tests / teardown aren't starved. + client().admin() + .cluster() + .prepareUpdateSettings() + .setTransientSettings(Settings.builder().putNull("datafusion.memory_pool_limit_bytes")) + .get(); + } + assertNoResidualTasks(AnalyticsQueryAction.NAME); + assertNoResidualTasks(FragmentExecutionAction.NAME); + } + + /** + * Real native pool exhaustion through a SORT/LIMIT (TopK) query on a MULTI-SHARD index — the exact + * staging shape (high-q07..q10). The shard fragment trips the pool, the breaker crosses stream + * transport, and must surface to the user as HTTP 429 with NO leaked native allocator dump + * ("top memory consumers / query_untracked(...) consumed N MB"). Exercises BOTH the shard→coordinator + * transport path and the cause sanitization. + */ + public void testShardSortPoolExhaustionSurfacesAs429WithoutLeak() throws Exception { + createAndSeedIndex(); + assertTrue( + client().admin() + .cluster() + .prepareUpdateSettings() + .setTransientSettings(Settings.builder().put("datafusion.memory_pool_limit_bytes", 1L)) + .get() + .isAcknowledged() + ); + try { + Throwable failure = null; + PPLResponse response = null; + try { + response = executePPL("source = " + INDEX + " | sort value | head 50", QUERY_TIMEOUT); + } catch (Throwable t) { + failure = t; + } + assertNotNull("shard sort pool exhaustion must fail the query (response=" + response + ")", failure); + assertEquals( + "a shard-side native pool trip must surface as HTTP 429 (got " + failure.getClass().getName() + ": " + failure + .getMessage() + ")", + RestStatus.TOO_MANY_REQUESTS, + firstStatus(failure, RestStatus.TOO_MANY_REQUESTS) + ); + assertNoNativeLeak(failure); + } finally { + client().admin() + .cluster() + .prepareUpdateSettings() + .setTransientSettings(Settings.builder().putNull("datafusion.memory_pool_limit_bytes")) + .get(); + } + assertNoResidualTasks(AnalyticsQueryAction.NAME); + assertNoResidualTasks(FragmentExecutionAction.NAME); + } + + /** Flattens an exception's cause chain to a single string (class:message per level) for substring checks. */ + private static String renderedChain(Throwable t) { + StringBuilder sb = new StringBuilder(); + for (Throwable c = t; c != null && c != c.getCause(); c = c.getCause()) { + sb.append(c.getClass().getName()).append(':').append(c.getMessage()).append('\n'); + } + return sb.toString(); + } + + /** Asserts no raw native allocator internals leak into the rendered exception chain shown to the user. */ + private static void assertNoNativeLeak(Throwable t) { + StringBuilder sb = new StringBuilder(); + for (Throwable c = t; c != null && c != c.getCause(); c = c.getCause()) { + sb.append(c.getClass().getName()).append(':').append(c.getMessage()).append('\n'); + } + String rendered = sb.toString(); + for (String leak : new String[] { + "top memory consumers", + "query_untracked", + "can spill", + "already reserved", + "GroupedHashAggregateStream", + "RepartitionExec", + "batch_size", + "avg_row_bytes" }) { + assertFalse("native detail '" + leak + "' must not leak to the user, got: " + rendered, rendered.contains(leak)); + } + } + /** * A shard fragment returning a {@link TaskCancelledException} over stream transport — exactly what * Search BackPressure does when it cancels a leaf {@code AnalyticsShardTask} (the bottom-up cancel @@ -262,8 +406,13 @@ public void testShardTaskCancelledExceptionTearsDownQueryAndCleansUp() throws Ex for (String node : internalCluster().getDataNodeNames()) { MockTransportService mts = (MockTransportService) internalCluster().getInstance(TransportService.class, node); mts.addRequestHandlingBehavior(FragmentExecutionAction.NAME, (handler, request, channel, task) -> { - // What SBP surfaces when it cancels the shard task mid-fragment. - channel.sendResponse(new TaskCancelledException("task cancelled by search backpressure on " + node)); + // Replacing the handler bypasses the production classify seam (channelResponseHandler.onFailure + // → AnalyticsTransportErrors.toWireError), so we inject the post-classification wire form: a + // StreamException(CANCELLED). This exercises the half that crosses the wire + the coordinator's + // fromWireError, mirroring what production produces when SBP cancels a shard fragment. + channel.sendResponse( + new StreamException(StreamErrorCode.CANCELLED, "task cancelled by search backpressure on " + node) + ); }); mtsList.add(mts); } @@ -283,6 +432,21 @@ public void testShardTaskCancelledExceptionTearsDownQueryAndCleansUp() throws Ex failure == null ? "none" : failure.getClass().getName() + ": " + failure.getMessage() ); assertNotNull("a cancelled shard must fail the query, not silently return a result (response=" + response + ")", failure); + // Contract: the shard cancellation must reach the coordinator as a recognizable cancellation, + // NOT the old bare RuntimeException("Stage N failed") ISE a client would retry. There are two + // valid race outcomes depending on which shard's failure wins: + // 1. the cancel propagates as a TaskCancelledException (fromWireError rebuilds it), or + // 2. with multiple shards, the failure cascade cancels a sibling's gRPC stream before its + // typed CANCELLED error is flushed (sendError no-ops on an already-cancelled channel), so + // that stream surfaces gRPC's generic cancellation teardown ("Internal error [task_id=N]"). + // Both are acceptable; a plain "Stage N failed" with no cancellation signal is the bug. + boolean isTaskCancelled = ExceptionsHelper.unwrap(failure, TaskCancelledException.class) != null; + boolean isGrpcCancelTeardown = renderedChain(failure).contains("Internal error [task_id="); + assertTrue( + "shard cancellation must surface as TaskCancelledException or a gRPC cancellation teardown, not a generic " + + "'Stage N failed' ISE (got chain: " + renderedChain(failure) + ")", + isTaskCancelled || isGrpcCancelTeardown + ); } finally { mtsList.forEach(MockTransportService::clearAllRules); } @@ -401,7 +565,7 @@ public void testQtfQueryFiresFetchPhaseAndLeavesNoResidualTasks() throws Excepti assertNoResidualTasks(FetchByRowIdsAction.NAME); } - /** SBP stand-in on the QTF QUERY phase: TaskCancelledException → clean teardown of all three actions. */ + /** SBP stand-in on the QTF QUERY phase: a cancelled shard fragment must tear down the whole 3-level QTF tree. */ public void testQtfFragmentCancelTearsDownAndCleansUp() throws Exception { createAndSeedQtfIndex(); assertQtfInjectedFailureSurfacesAndCleansUp( @@ -410,7 +574,7 @@ public void testQtfFragmentCancelTearsDownAndCleansUp() throws Exception { ); } - /** SBP stand-in on the QTF FETCH phase: TaskCancelledException → clean teardown of all three actions. */ + /** SBP stand-in on the QTF FETCH phase: a cancelled fetch must tear down the whole 3-level QTF tree. */ public void testQtfFetchCancelTearsDownAndCleansUp() throws Exception { createAndSeedQtfIndex(); assertQtfInjectedFailureSurfacesAndCleansUp( diff --git a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MemoryGuardIT.java b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MemoryGuardIT.java index 0387954e75e7a..0463fcd95984b 100644 --- a/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MemoryGuardIT.java +++ b/sandbox/qa/analytics-engine-coordinator/src/internalClusterTest/java/org/opensearch/analytics/resilience/MemoryGuardIT.java @@ -8,6 +8,7 @@ package org.opensearch.analytics.resilience; +import org.opensearch.OpenSearchException; import org.opensearch.Version; import org.opensearch.action.admin.cluster.node.stats.NodeStats; import org.opensearch.action.admin.cluster.node.stats.NodesStatsResponse; @@ -174,6 +175,24 @@ public void testQuerySucceedsAtNormalPoolLimit() throws Exception { assertNotNull(response); } + /** True if {@code t}'s cause chain carries a 429 OpenSearchException or a known memory-pressure message marker. */ + private static boolean hasMemoryPressureSignal(Throwable t) { + for (Throwable c = t; c != null && c != c.getCause(); c = c.getCause()) { + if (c instanceof OpenSearchException ose && ose.status() == org.opensearch.core.rest.RestStatus.TOO_MANY_REQUESTS) { + return true; + } + String msg = c.getMessage(); + if (msg != null + && (msg.contains("CircuitBreakingException") + || msg.contains("Resources exhausted") + || msg.contains("analytics_backend_datafusion") + || msg.contains("insufficient memory budget"))) { + return true; + } + } + return false; + } + public void testQueryRejectedWhenPoolExhausted() throws Exception { createIndexAndIngest(); @@ -189,11 +208,13 @@ public void testQueryRejectedWhenPoolExhausted() throws Exception { Exception.class, () -> executePPL("source = " + INDEX_NAME + " | stats count() by url") ); + // The shard fragment wraps the failure as "Stage N failed", so the memory-pressure signal lives + // in the CAUSE CHAIN, not the top-level message. The native trip is converted on the data node + // (NativeErrorConverter) to a 429-bearing OpenSearchException; walk the chain for that 429 (or + // the legacy message markers as a fallback). assertTrue( - "Should contain CircuitBreakingException or ResourcesExhausted in message, got: " + ex.getMessage(), - ex.getMessage() != null && (ex.getMessage().contains("CircuitBreakingException") - || ex.getMessage().contains("Resources exhausted") - || ex.getMessage().contains("analytics_backend_datafusion")) + "Memory-pool exhaustion must surface as HTTP 429 somewhere in the failure chain, got: " + ex, + hasMemoryPressureSignal(ex) ); } finally { // Reset so cluster teardown doesn't fail diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java index e20d3ab3458ab..072d62fb17c20 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PplClickBenchIT.java @@ -35,9 +35,11 @@ public class PplClickBenchIT extends AnalyticsRestTestCase { * resources/datasets/clickbench/ppl/. Individual queries can be excluded via * {@link #SKIP_QUERIES} when a feature is genuinely missing rather than broken. */ - // Q9 and Q10 compute dc(UserID) grouped by RegionID with sort + head 10. On a 2-node cluster - // the HLL estimate for tied groups varies by shard assignment, so the top-10 rows are - // non-deterministic. Mute until golden comparison handles tied-row tolerance. + // Q9 and Q10 both compute dc(UserID) (distinct count / HyperLogLog) grouped by RegionID. At the + // 2-shard clickbench layout the HLL sketches merge wrong across shards, so the distinct-count value + // for some groups is off; because each query then sorts by that value (sort -u / sort -c) and takes + // head 10, the wrong groups win the top-10 and the grouping column no longer lines up with expected. + // This is the pre-existing cross-shard HLL merge bug, not a regression here — mute until it's fixed. private static final Set SKIP_QUERIES = Set.of(9, 10); private static boolean dataProvisioned = false; From 08ac04b1d95e94aae56d69be257b9be4be14467f Mon Sep 17 00:00:00 2001 From: Khishore_BSK Date: Thu, 25 Jun 2026 15:07:20 +0530 Subject: [PATCH 53/94] feat: spawn object store reads on dedicated IO runtime (#22280) Move HTTP IO for S3/GCS/Azure object stores off CPU executor threads onto the dedicated IO runtime via a global handle in native-bridge-common. Signed-off-by: G Signed-off-by: bkhishor Co-authored-by: G --- .../libs/dataformat-native/rust/Cargo.lock | 2 + .../dataformat-native/rust/common/Cargo.toml | 1 + .../rust/common/src/io_runtime.rs | 104 ++++++++++++ .../dataformat-native/rust/common/src/lib.rs | 1 + .../rust/src/executor.rs | 4 - .../rust/src/io.rs | 56 ------- .../rust/src/lib.rs | 2 +- .../rust/src/runtime_manager.rs | 39 ++--- .../rust/src/session_context.rs | 2 +- .../src/main/rust/src/azure.rs | 10 ++ .../src/main/rust/src/gcs.rs | 10 ++ .../src/main/rust/Cargo.toml | 3 + .../src/main/rust/src/s3.rs | 149 ++++++++++++++++++ 13 files changed, 299 insertions(+), 84 deletions(-) create mode 100644 sandbox/libs/dataformat-native/rust/common/src/io_runtime.rs delete mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/io.rs diff --git a/sandbox/libs/dataformat-native/rust/Cargo.lock b/sandbox/libs/dataformat-native/rust/Cargo.lock index df8ce26cf1cc8..e5d42661fca32 100644 --- a/sandbox/libs/dataformat-native/rust/Cargo.lock +++ b/sandbox/libs/dataformat-native/rust/Cargo.lock @@ -2693,6 +2693,7 @@ dependencies = [ "tikv-jemalloc-ctl", "tikv-jemalloc-sys", "tikv-jemallocator", + "tokio", ] [[package]] @@ -2955,6 +2956,7 @@ dependencies = [ "object_store", "serde", "serde_json", + "tokio", ] [[package]] diff --git a/sandbox/libs/dataformat-native/rust/common/Cargo.toml b/sandbox/libs/dataformat-native/rust/common/Cargo.toml index 65f31790dee1d..641b96da148e1 100644 --- a/sandbox/libs/dataformat-native/rust/common/Cargo.toml +++ b/sandbox/libs/dataformat-native/rust/common/Cargo.toml @@ -12,6 +12,7 @@ crate-type = ["rlib"] native-bridge-macros = { path = "../macros" } tikv-jemalloc-ctl = { workspace = true } tikv-jemalloc-sys = { workspace = true } +tokio = { workspace = true } [dev-dependencies] tikv-jemallocator = { workspace = true } diff --git a/sandbox/libs/dataformat-native/rust/common/src/io_runtime.rs b/sandbox/libs/dataformat-native/rust/common/src/io_runtime.rs new file mode 100644 index 0000000000000..43951a46d4453 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/common/src/io_runtime.rs @@ -0,0 +1,104 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +//! Process-global IO runtime [`Handle`], shared across all native crates. +//! +//! # Why this lives here +//! +//! The dedicated IO runtime is owned by the analytics engine's `RuntimeManager` +//! (in the `opensearch-datafusion` crate). But the object stores that should +//! dispatch their network IO onto it — `AmazonS3`, `GoogleCloudStorage`, +//! `MicrosoftAzure` — are built in the separate `native-repository-*` crates, +//! which do NOT depend on `opensearch-datafusion`. The one crate they all share +//! is `native-bridge-common`, so the handle slot lives here as the single source +//! of truth every crate can reach. +//! +//! The analytics `RuntimeManager` calls [`set_io_handle`] when it builds the IO +//! runtime (and [`clear_io_handle`] on shutdown). Each remote object-store +//! builder calls [`io_handle`] and, if present, installs a +//! `SpawnedReqwestConnector` so HTTP requests + response-body streaming run on +//! the IO runtime instead of the CPU runtime — DataFusion's `thread_pools` +//! example mechanism. If no handle is installed (e.g. a unit test, or a process +//! with no IO runtime), the builders leave their default connector untouched. +//! +//! A swappable [`RwLock`] slot (not a first-wins `OnceLock`) is used on purpose: +//! `DataFusionService.doStop()` tears the IO runtime down and `doStart()` builds +//! a fresh one (node restarts in tests, service recycling). A stale handle would +//! point at a dead runtime; last-writer-wins keeps it live across restarts. + +use std::sync::RwLock; +use tokio::runtime::Handle; + +static GLOBAL_IO_HANDLE: RwLock> = RwLock::new(None); + +/// Install (or replace) the process-global IO runtime handle. Most recent writer +/// wins, so the handle always points at the live IO runtime. +pub fn set_io_handle(handle: Handle) { + *GLOBAL_IO_HANDLE.write().unwrap() = Some(handle); +} + +/// Clear the process-global IO runtime handle (called when the owning runtime is +/// shut down) so a stale, dead-runtime handle is never handed out. +pub fn clear_io_handle() { + *GLOBAL_IO_HANDLE.write().unwrap() = None; +} + +/// Returns the process-global IO runtime handle, if one is currently installed. +pub fn io_handle() -> Option { + GLOBAL_IO_HANDLE.read().unwrap().clone() +} + +#[cfg(test)] +mod tests { + use super::*; + + // One test on purpose: the slot is process-global, so parallel tests would + // race on it. Covers the full lifecycle the remote object-store builders and + // RuntimeManager rely on: install → read → last-writer-wins → clear. + #[test] + fn set_get_replace_clear_lifecycle() { + // Clean slate (a prior test in this binary may have left a handle). + clear_io_handle(); + assert!(io_handle().is_none(), "handle must start cleared"); + + let rt_a = tokio::runtime::Builder::new_multi_thread() + .worker_threads(1) + .enable_all() + .build() + .unwrap(); + let rt_b = tokio::runtime::Builder::new_multi_thread() + .worker_threads(1) + .enable_all() + .build() + .unwrap(); + + // Install A → io_handle() hands out A. + set_io_handle(rt_a.handle().clone()); + assert_eq!( + io_handle().as_ref().map(|h| h.id()), + Some(rt_a.handle().id()), + "io_handle() must return the installed handle (A)" + ); + + // Install B → last writer wins (this is why it's an RwLock slot, not a + // first-wins OnceLock: doStop/doStart rebuilds the runtime). + set_io_handle(rt_b.handle().clone()); + assert_eq!( + io_handle().as_ref().map(|h| h.id()), + Some(rt_b.handle().id()), + "the most recent set_io_handle must win (B replaces A)" + ); + + // Clear → builders fall back to the default connector. + clear_io_handle(); + assert!( + io_handle().is_none(), + "clear_io_handle must empty the slot so no stale handle is handed out" + ); + } +} diff --git a/sandbox/libs/dataformat-native/rust/common/src/lib.rs b/sandbox/libs/dataformat-native/rust/common/src/lib.rs index c44fa871c4fb3..97022e52c17d2 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/lib.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/lib.rs @@ -9,6 +9,7 @@ //! Shared Rust utilities for OpenSearch sandbox native plugins. pub mod error; +pub mod io_runtime; pub mod logger; pub mod allocator; pub mod memory_pool; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs index cbc4a9e0ae9a1..9436ffbd8482f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs @@ -18,7 +18,6 @@ use tokio::{ task::{AbortHandle, JoinSet}, }; -use crate::io::register_io_runtime; // DedicatedExecutor — runs CPU-bound DataFusion work on its own tokio runtime. // Based on InfluxDB's executor pattern. // https://github.com/apache/datafusion/blob/main/datafusion-examples/examples/query_planning/thread_pools.rs @@ -264,15 +263,12 @@ impl DedicatedExecutor { let notify_shutdown_captured = Arc::clone(¬ify_shutdown); let (tx_shutdown, rx_shutdown) = tokio::sync::oneshot::channel(); let (tx_handle, rx_handle) = std::sync::mpsc::channel(); - let io_handle = tokio::runtime::Handle::try_current().ok(); let thread = std::thread::Builder::new() .name(format!("{name} driver")) .spawn(move || { - register_io_runtime(io_handle.clone()); let mut runtime_builder = runtime_builder; let runtime = runtime_builder - .on_thread_start(move || register_io_runtime(io_handle.clone())) .build() .expect("Creating tokio runtime"); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/io.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/io.rs deleted file mode 100644 index 76d22d11235a9..0000000000000 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/io.rs +++ /dev/null @@ -1,56 +0,0 @@ -/* - * SPDX-License-Identifier: Apache-2.0 - * - * The OpenSearch Contributors require contributions made to - * this file be licensed under the Apache-2.0 license or a - * compatible open source license. - */ -use futures::FutureExt; -use std::cell::RefCell; -use std::future::Future; -use std::pin::Pin; -use std::task::{Context, Poll}; -use tokio::runtime::Handle; -use tokio::task::JoinHandle; - -// IO runtime thread-local registration. -// Ensures CPU-bound DataFusion threads can dispatch IO to the IO runtime. - -thread_local! { - pub static IO_RUNTIME: RefCell> = const { RefCell::new(None) }; -} - -pub fn register_io_runtime(handle: Option) { - IO_RUNTIME.set(handle) -} - -/// Runs `fut` on the IO runtime registered for this thread. -pub async fn spawn_io(fut: Fut) -> Fut::Output -where - Fut: Future + Send + 'static, - Fut::Output: Send, -{ - let h = IO_RUNTIME - .with_borrow(|h| h.clone()) - .expect("No IO runtime registered"); - DropGuard(h.spawn(fut)).await -} - -struct DropGuard(JoinHandle); - -impl Drop for DropGuard { - fn drop(&mut self) { - self.0.abort() - } -} - -impl Future for DropGuard { - type Output = T; - fn poll(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll { - Poll::Ready(match std::task::ready!(self.0.poll_unpin(cx)) { - Ok(v) => v, - Err(e) if e.is_cancelled() => panic!("IO runtime was shut down"), - Err(e) => std::panic::resume_unwind(e.into_panic()), - }) - } -} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 364262254d147..8288a8149629b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -31,7 +31,6 @@ pub mod ffm; pub mod helper; pub mod indexed_executor; pub mod indexed_table; -pub mod io; pub mod local_executor; pub mod memory; pub mod memory_guard; @@ -49,6 +48,7 @@ pub mod shard_table_provider; pub mod runtime_manager; pub mod schema_coerce; pub mod session_context; + pub mod udaf; pub mod udf; pub mod udwf; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs index 9b61cc1f2d172..3749d58b3b451 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs @@ -5,8 +5,7 @@ * this file be licensed under the Apache-2.0 license or a * compatible open source license. */ -use crate::executor::DedicatedExecutor; -use crate::io::register_io_runtime; +use crate::executor::{ConcurrencyGate, DedicatedExecutor}; use log::info; use std::sync::Arc; use tokio::runtime::{Builder, Runtime}; @@ -33,23 +32,29 @@ impl RuntimeManager { .expect("Failed to create IO runtime"), ); - register_io_runtime(Some(io_runtime.handle().clone())); + // Publish the IO runtime handle in native_bridge_common so the separate + // native-repository-* crates (s3/gcs/azure) can install a + // SpawnedReqwestConnector that runs HTTP IO on this runtime. + // Initialization order: DataFusionService starts this plugin first, then + // native-repository-s3/gcs/azure read the handle at object-store build time. + // The handle is always available before any store is constructed. + native_bridge_common::io_runtime::set_io_handle(io_runtime.handle().clone()); let io_monitor = RuntimeMonitor::new(&io_runtime.handle()); - let io_handle = io_runtime.handle().clone(); let mut cpu_runtime_builder = Builder::new_multi_thread(); cpu_runtime_builder .worker_threads(cpu_threads) .thread_name("datafusion-cpu") - .enable_all() - .on_thread_start(move || { - register_io_runtime(Some(io_handle.clone())); - }); + .enable_all(); // Fragment executor concurrency gate: limits concurrent partition tasks from shard scans. let datanode_max_concurrent = (cpu_threads as f64 * datanode_multiplier).max(1.0) as usize; - let cpu_executor = DedicatedExecutor::new("datafusion-cpu", cpu_runtime_builder, datanode_max_concurrent); + let cpu_executor = DedicatedExecutor::new( + "datafusion-cpu", + cpu_runtime_builder, + datanode_max_concurrent, + ); let cpu_monitor = cpu_executor .handle() @@ -69,6 +74,9 @@ impl RuntimeManager { pub fn shutdown(&self) { info!("Shutting down RuntimeManager"); + // Clear the published IO handle so a torn-down runtime is never handed + // out to a remote object-store builder after shutdown. + native_bridge_common::io_runtime::clear_io_handle(); self.cpu_executor.join_blocking(); } } @@ -112,17 +120,4 @@ mod tests { mgr.cpu_executor.shutdown(); std::mem::forget(mgr); } - - #[tokio::test] - async fn test_io_runtime_registered_on_cpu_threads() { - let mgr = test_mgr(); - let has_io = mgr - .cpu_executor() - .spawn(async { crate::io::IO_RUNTIME.with_borrow(|h| h.is_some()) }) - .await - .unwrap(); - assert!(has_io); - mgr.cpu_executor.shutdown(); - std::mem::forget(mgr); - } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 9a5f700d07ed1..3003be094c42b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -58,7 +58,7 @@ pub struct SessionContextHandle { /// Per-query tuning knobs (batch size, partitions, filter strategies, etc.) pub query_config: DatafusionQueryConfig, /// IO runtime handle for bloom filter reads and other async I/O dispatched - /// from CPU executor threads (where the IO_RUNTIME thread-local may not be set). + /// from CPU executor threads. pub io_handle: tokio::runtime::Handle, /// Aggregate execution mode for distributed partial/final stripping. pub(crate) aggregate_mode: crate::agg_mode::Mode, diff --git a/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs b/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs index 06cb27e1cfd47..960ac6947e5ec 100644 --- a/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs +++ b/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs @@ -60,6 +60,16 @@ pub fn build( builder = builder.with_retry(retry); } + // If the analytics engine has installed a dedicated IO runtime, route HTTP + // requests (and response-body streaming) onto it via SpawnedReqwestConnector + // — DataFusion's `thread_pools` example mechanism. This keeps network IO and + // its completion work (TLS, body assembly) off the CPU runtime that drives + // query decode. No-op when no IO runtime is installed (e.g. unit tests). + if let Some(io) = native_bridge_common::io_runtime::io_handle() { + builder = builder + .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + } + Ok(Arc::new(builder.build()?)) } diff --git a/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs b/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs index 0b6c25a68828a..0c37c980fc610 100644 --- a/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs +++ b/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs @@ -55,6 +55,16 @@ pub fn build( builder = builder.with_retry(retry); } + // If the analytics engine has installed a dedicated IO runtime, route HTTP + // requests (and response-body streaming) onto it via SpawnedReqwestConnector + // — DataFusion's `thread_pools` example mechanism. This keeps network IO and + // its completion work (TLS, body assembly) off the CPU runtime that drives + // query decode. No-op when no IO runtime is installed (e.g. unit tests). + if let Some(io) = native_bridge_common::io_runtime::io_handle() { + builder = builder + .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + } + Ok(Arc::new(builder.build()?)) } diff --git a/sandbox/plugins/native-repository-s3/src/main/rust/Cargo.toml b/sandbox/plugins/native-repository-s3/src/main/rust/Cargo.toml index 6003c9e35c86c..920f924d38a60 100644 --- a/sandbox/plugins/native-repository-s3/src/main/rust/Cargo.toml +++ b/sandbox/plugins/native-repository-s3/src/main/rust/Cargo.toml @@ -14,3 +14,6 @@ object_store = { workspace = true, features = ["aws"] } serde = { workspace = true } serde_json = { workspace = true } native-bridge-common = { workspace = true } + +[dev-dependencies] +tokio = { workspace = true } diff --git a/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs b/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs index 81e28a743ca81..270a3eda5721d 100644 --- a/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs +++ b/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs @@ -107,6 +107,16 @@ pub fn build( builder = builder.with_retry(retry); } + // If the analytics engine has installed a dedicated IO runtime, route HTTP + // requests (and response-body streaming) onto it via SpawnedReqwestConnector + // — DataFusion's `thread_pools` example mechanism. This keeps network IO and + // its completion work (TLS, body assembly) off the CPU runtime that drives + // query decode. No-op when no IO runtime is installed (e.g. unit tests). + if let Some(io) = native_bridge_common::io_runtime::io_handle() { + builder = builder + .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + } + Ok(Arc::new(builder.build()?)) } @@ -172,4 +182,143 @@ mod tests { let config = r#"{"bucket":"b","region":"us-east-1","allow_http":true,"endpoint":"http://localhost:9000","unknown_field":"value"}"#; assert!(build(config, None).is_ok()); } + + // ── IO-runtime dispatch (SpawnedReqwestConnector) ──────────────────────── + // + // These assert the warm path: an S3 store built while an IO runtime handle is + // installed routes its HTTP requests onto that runtime (the + // `SpawnedReqwestConnector` wiring in `build`), so the IO runtime's worker + // poll counter advances. With no handle installed, the store falls back to the + // default connector and the IO runtime stays idle. `worker_poll_count` is the + // exact counter the DataFusion `_stats` API exports as `total_polls_count`. + + use std::io::Write as _; + use std::net::TcpListener as StdTcpListener; + use std::sync::atomic::{AtomicBool, Ordering}; + + /// Minimal localhost HTTP server: accepts connections and replies with a fixed + /// `200 OK` + tiny body to ANY request, until `stop` is set. Lets us exercise + /// the real `AmazonS3` HTTP client end-to-end without a container or real S3. + /// Runs on its own std thread so it is independent of any tokio runtime. + fn spawn_mock_http() -> (String, Arc, std::thread::JoinHandle<()>) { + let listener = StdTcpListener::bind("127.0.0.1:0").unwrap(); + let addr = listener.local_addr().unwrap(); + listener.set_nonblocking(true).unwrap(); + let stop = Arc::new(AtomicBool::new(false)); + let stop_c = Arc::clone(&stop); + let handle = std::thread::spawn(move || { + use std::io::Read as _; + while !stop_c.load(Ordering::Relaxed) { + match listener.accept() { + Ok((mut sock, _)) => { + // Drain the request headers (best-effort) then reply. + let mut buf = [0u8; 1024]; + let _ = sock.read(&mut buf); + let body = b"hello-from-mock-s3"; + let resp = format!( + "HTTP/1.1 200 OK\r\nContent-Length: {}\r\nAccept-Ranges: bytes\r\n\r\n", + body.len() + ); + let _ = sock.write_all(resp.as_bytes()); + let _ = sock.write_all(body); + let _ = sock.flush(); + } + Err(ref e) if e.kind() == std::io::ErrorKind::WouldBlock => { + std::thread::sleep(Duration::from_millis(5)); + } + Err(_) => break, + } + } + }); + (format!("http://{}", addr), stop, handle) + } + + /// Sum of per-worker poll counts for a runtime — the same metric the + /// production `_stats` API reports as `io_runtime.total_polls_count`. + fn worker_polls(handle: &tokio::runtime::Handle) -> u64 { + let m = handle.metrics(); + (0..m.num_workers()).map(|i| m.worker_poll_count(i)).sum() + } + + fn s3_config(endpoint: &str) -> String { + format!( + r#"{{"bucket":"b","region":"us-east-1","allow_http":true,"endpoint":"{}"}}"#, + endpoint + ) + } + + /// Drive a single `get` against `endpoint` on a throwaway driver runtime + /// (separate from `io_rt`, so any polls observed on `io_rt` can only come from + /// the connector), returning the IO runtime's worker-poll delta across it. + fn poll_delta_for_get(io_rt: &tokio::runtime::Runtime, endpoint: &str) -> u64 { + let driver_rt = tokio::runtime::Builder::new_multi_thread() + .worker_threads(1) + .enable_all() + .build() + .unwrap(); + let store = build(&s3_config(endpoint), None).expect("build s3 store"); + let before = worker_polls(io_rt.handle()); + let _ = driver_rt.block_on(async move { + store + .get_opts( + &object_store::path::Path::from("some-object"), + object_store::GetOptions::default(), + ) + .await + }); + worker_polls(io_rt.handle()) - before + } + + /// Warm-path assertion + its control, in ONE test because the IO handle is a + /// process-global that parallel tests would race on. + /// + /// * WITH a handle installed → the S3 store's HTTP request is polled on that + /// IO runtime (the `SpawnedReqwestConnector` wiring), so its + /// `worker_poll_count` advances. + /// * WITHOUT a handle (a runtime never installed) → that runtime sees zero + /// polls, proving the warm-case polls come from the connector, not ambient + /// activity. + #[test] + fn io_runtime_services_s3_reads_only_when_handle_installed() { + let (endpoint, stop, server) = spawn_mock_http(); + + let io_rt = tokio::runtime::Builder::new_multi_thread() + .worker_threads(2) + .thread_name("test-io") + .enable_all() + .build() + .unwrap(); + // A second runtime that we observe but NEVER install as the IO handle. + let uninstalled_rt = tokio::runtime::Builder::new_multi_thread() + .worker_threads(2) + .thread_name("test-uninstalled") + .enable_all() + .build() + .unwrap(); + + // WARM: handle installed → io_rt must poll the request. + native_bridge_common::io_runtime::set_io_handle(io_rt.handle().clone()); + let installed_delta = poll_delta_for_get(&io_rt, &endpoint); + + // CONTROL: a runtime that was never installed must see nothing from the read. + let uninstalled_delta = poll_delta_for_get(&uninstalled_rt, &endpoint); + + native_bridge_common::io_runtime::clear_io_handle(); + stop.store(true, Ordering::Relaxed); + let _ = server.join(); + + assert!( + installed_delta > 0, + "IO runtime worker_poll_count must advance across an S3 read \ + (delta={}) — SpawnedReqwestConnector is not dispatching HTTP onto the \ + installed IO runtime", + installed_delta + ); + assert_eq!( + uninstalled_delta, 0, + "a runtime never installed as the IO handle must see no polls from an \ + S3 read (delta={}) — the warm-case polls would then be ambient noise", + uninstalled_delta + ); + } } From 86d0f52afe70d0d03f57998a705962162623a1a7 Mon Sep 17 00:00:00 2001 From: Shailesh Singh Date: Thu, 25 Jun 2026 20:17:41 +0530 Subject: [PATCH 54/94] Add indexing throttle on merge pressure for DataFormatAwareEngine (#22319) When outstanding merges (active + pending) exceed maxMergeCount, the MergeScheduler now activates indexing throttle via the engine's existing IndexingThrottler, serializing write threads to a single thread until merge pressure subsides. This mirrors the behavior already present in InternalEngine's EngineMergeScheduler. Signed-off-by: Shailesh-Kumar-Singh --- .../index/engine/DataFormatAwareEngine.java | 8 +- .../dataformat/merge/MergeScheduler.java | 34 ++++++ .../merge/MergeSchedulerOnDrainedTests.java | 101 ++++++++++++++++-- .../dataformat/merge/MergeSchedulerTests.java | 94 +++++++++++++++- .../engine/dataformat/merge/MergeTests.java | 31 +++++- 5 files changed, 254 insertions(+), 14 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index 9566952273942..6b6aa3745874d 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -500,7 +500,13 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { refreshLock.unlock(); } } - }, shardId, engineConfig.getIndexSettings(), engineConfig.getThreadPool()); + }, + this::activateThrottling, + this::deactivateThrottling, + shardId, + engineConfig.getIndexSettings(), + engineConfig.getThreadPool() + ); success = true; logger.trace("created new DataFormatBasedEngine"); } catch (IOException | TranslogCorruptedException e) { diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java index 2904cd9f541ab..d95be1157da8a 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java @@ -48,8 +48,11 @@ public class MergeScheduler { private final MergeHandler mergeHandler; private final BiConsumer applyMergeChanges; private final Runnable onMergeFailureCleanup; + private final Runnable activateThrottling; + private final Runnable deactivateThrottling; private final ThreadPool threadPool; private final AtomicInteger activeMerges = new AtomicInteger(0); + private final AtomicBoolean isThrottling = new AtomicBoolean(false); private final AtomicBoolean isShutdown = new AtomicBoolean(false); private final Semaphore forceMergeLock = new Semaphore(1); private final AtomicBoolean frozen = new AtomicBoolean(false); @@ -75,6 +78,8 @@ public class MergeScheduler { * @param mergeHandler the handler that selects and executes merges * @param applyMergeChanges callback to apply merge results (e.g., update the catalog) * @param onMergeFailureCleanup callback invoked when a merge fails and cleanup is performed + * @param activateThrottling callback to activate indexing throttle when merge pressure is high + * @param deactivateThrottling callback to deactivate indexing throttle when merge pressure subsides * @param shardId the shard this scheduler is associated with * @param indexSettings the index settings providing merge scheduler configuration * @param threadPool the OpenSearch thread pool for executing merge tasks @@ -83,6 +88,8 @@ public MergeScheduler( MergeHandler mergeHandler, BiConsumer applyMergeChanges, Runnable onMergeFailureCleanup, + Runnable activateThrottling, + Runnable deactivateThrottling, ShardId shardId, IndexSettings indexSettings, ThreadPool threadPool @@ -90,6 +97,8 @@ public MergeScheduler( this.mergeHandler = mergeHandler; this.applyMergeChanges = applyMergeChanges; this.onMergeFailureCleanup = onMergeFailureCleanup; + this.activateThrottling = activateThrottling; + this.deactivateThrottling = deactivateThrottling; this.threadPool = threadPool; logger = Loggers.getLogger(getClass(), shardId); this.indexSettings = indexSettings; @@ -138,6 +147,7 @@ public void triggerMerges() { if (!isFrozen()) { mergeHandler.findAndRegisterMerges(); } + evaluateThrottle(); executeMerge(); } @@ -343,6 +353,7 @@ private void submitMergeTask(OneMerge oneMerge) { // uncaught exception on the merge thread pool. } finally { activeMerges.decrementAndGet(); + evaluateThrottle(); // Fire all drain listeners if all merges completed and none pending if (isFrozen() && activeMerges.get() == 0 && !mergeHandler.hasPendingMerges() && !onDrainedListeners.isEmpty()) { List listeners = List.copyOf(onDrainedListeners); @@ -394,4 +405,27 @@ private void runMerge(OneMerge oneMerge) throws IOException { mergeStatsTracker.afterMerge(tookMS, totalNumDocs, totalSizeInBytes); } } + + private synchronized void evaluateThrottle() { + int numMergesInFlight = activeMerges.get() + mergeHandler.getPendingMergeCount(); + if (numMergesInFlight > maxMergeCount) { + if (isThrottling.getAndSet(true) == false) { + logger.info("now throttling indexing: numMergesInFlight={}, maxMergeCount={}", numMergesInFlight, maxMergeCount); + try { + activateThrottling.run(); + } catch (Exception e) { + logger.warn("exception in activateThrottling callback", e); + } + } + } else if (numMergesInFlight < maxMergeCount) { + if (isThrottling.getAndSet(false)) { + logger.info("stop throttling indexing: numMergesInFlight={}, maxMergeCount={}", numMergesInFlight, maxMergeCount); + try { + deactivateThrottling.run(); + } catch (Exception e) { + logger.warn("exception in deactivateThrottling callback", e); + } + } + } + } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java index 27709d31f1a9f..0e1fee5a3f620 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java @@ -67,7 +67,16 @@ public void testOnDrained_AlreadyDrained_FiresListenerImmediately() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); AtomicBoolean listenerCalled = new AtomicBoolean(false); scheduler.onDrained(() -> listenerCalled.set(true)); @@ -84,7 +93,16 @@ public void testOnDrained_MergesPending_RegistersListener() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); AtomicBoolean listenerCalled = new AtomicBoolean(false); scheduler.onDrained(() -> listenerCalled.set(true)); @@ -101,7 +119,16 @@ public void testOnDrained_MultipleListeners_AllFire() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); AtomicInteger callCount = new AtomicInteger(0); @@ -177,7 +204,16 @@ public void testOnDrained_ListenersFire_WhenMergesGoFromNToZero() throws Excepti IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); CountDownLatch latch = new CountDownLatch(3); AtomicInteger callCount = new AtomicInteger(0); @@ -223,7 +259,16 @@ public void testOnDrained_DoubleCheckRace_ListenerFiresImmediately() throws Exce IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); // First call to hasPendingMerges returns true (first check fails, goes to add), // second call returns false (double-check succeeds, fires the listener) @@ -248,7 +293,16 @@ public void testOnDrained_ListenerExceptionIsolation_OtherListenersStillFire() t IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); // Register listeners individually via the double-check path. // Each onDrained call is independent — if one listener throws during its own @@ -285,7 +339,16 @@ public void testHasPendingMerges_DelegatesToMergeHandler() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); assertTrue("hasPendingMerges should delegate to handler when handler reports true", scheduler.hasPendingMerges()); @@ -302,7 +365,16 @@ public void testGetActiveMergeCount_InitiallyZero() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); assertEquals("Active merge count should be 0 initially", 0, scheduler.getActiveMergeCount()); } @@ -336,7 +408,16 @@ public void testSubmitMergeTask_FinallyBlock_FiresListenersWhenLastMergeComplete IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + MergeScheduler scheduler = new MergeScheduler( + mockHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + testShardId, + indexSettings, + threadPool + ); // Register an onDrained listener BEFORE triggering merges. // Reset hasPendingMerges stub for the full flow: @@ -416,7 +497,7 @@ private MergeScheduler newIdleScheduler(MergeHandler mockHandler) { when(mockHandler.hasPendingMerges()).thenReturn(false); IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - return new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + return new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, () -> {}, () -> {}, testShardId, indexSettings, threadPool); } /** diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java index a5939653303f2..9116b05ed1723 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java @@ -15,6 +15,7 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexModule; import org.opensearch.index.IndexSettings; +import org.opensearch.index.MergeSchedulerConfig; import org.opensearch.index.engine.dataformat.MergeResult; import org.opensearch.index.engine.exec.Segment; import org.opensearch.test.IndexSettingsModule; @@ -25,7 +26,9 @@ import java.io.IOException; import java.util.List; import java.util.Map; +import java.util.concurrent.atomic.AtomicInteger; +import static org.mockito.ArgumentMatchers.any; import static org.mockito.ArgumentMatchers.anyInt; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.never; @@ -67,7 +70,16 @@ private IndexSettings indexSettings(IndexModule.TieringState tieringState) { } private MergeScheduler newScheduler(MergeHandler mergeHandler, IndexModule.TieringState tieringState) { - return new MergeScheduler(mergeHandler, (result, merge) -> {}, () -> {}, shardId, indexSettings(tieringState), threadPool); + return new MergeScheduler( + mergeHandler, + (result, merge) -> {}, + () -> {}, + () -> {}, + () -> {}, + shardId, + indexSettings(tieringState), + threadPool + ); } public void testFreezeBlocksTriggerMerges() { @@ -157,6 +169,8 @@ public void testForceMergeAbortsRemainingMergesOnShutdown() throws Exception { mergeHandler, (result, merge) -> { schedulerRef.get().shutdown(); }, () -> {}, + () -> {}, + () -> {}, shardId, indexSettings(IndexModule.TieringState.HOT), threadPool @@ -174,4 +188,82 @@ public void testForceMergeAbortsRemainingMergesOnShutdown() throws Exception { verify(mergeHandler).doMerge(merge1); verify(mergeHandler, never()).doMerge(merge2); } + + public void testThrottlingActivatesWhenMergesExceedMaxCount() throws Exception { + AtomicInteger activateCount = new AtomicInteger(); + AtomicInteger deactivateCount = new AtomicInteger(); + + IndexSettings idxSettings = IndexSettingsModule.newIndexSettings( + "test", + Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(MergeSchedulerConfig.MAX_THREAD_COUNT_SETTING.getKey(), "1") + .put(MergeSchedulerConfig.MAX_MERGE_COUNT_SETTING.getKey(), "2") + .build() + ); + + MergeHandler mergeHandler = mock(MergeHandler.class); + OneMerge merge1 = mock(OneMerge.class); + OneMerge merge2 = mock(OneMerge.class); + OneMerge merge3 = mock(OneMerge.class); + when(merge1.getSegmentsToMerge()).thenReturn(List.of()); + when(merge2.getSegmentsToMerge()).thenReturn(List.of()); + when(merge3.getSegmentsToMerge()).thenReturn(List.of()); + + when(mergeHandler.getPendingMergeCount()).thenReturn(3, 3, 2, 1, 0); + when(mergeHandler.hasPendingMerges()).thenReturn(true, true, true, false); + when(mergeHandler.getNextMerge()).thenReturn(merge1).thenReturn(merge2).thenReturn(merge3).thenReturn(null); + when(mergeHandler.doMerge(any())).thenReturn(new MergeResult(Map.of())); + + MergeScheduler scheduler = new MergeScheduler( + mergeHandler, + (result, merge) -> {}, + () -> {}, + activateCount::incrementAndGet, + deactivateCount::incrementAndGet, + shardId, + idxSettings, + threadPool + ); + + scheduler.triggerMerges(); + assertBusy(() -> assertTrue("throttle should have activated", activateCount.get() > 0)); + assertBusy(() -> assertTrue("throttle should have deactivated", deactivateCount.get() > 0)); + } + + public void testThrottlingNotActivatedWhenMergesWithinLimit() throws Exception { + AtomicInteger activateCount = new AtomicInteger(); + + IndexSettings idxSettings = IndexSettingsModule.newIndexSettings( + "test", + Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(MergeSchedulerConfig.MAX_THREAD_COUNT_SETTING.getKey(), "1") + .put(MergeSchedulerConfig.MAX_MERGE_COUNT_SETTING.getKey(), "6") + .build() + ); + + MergeHandler mergeHandler = mock(MergeHandler.class); + OneMerge merge1 = mock(OneMerge.class); + when(merge1.getSegmentsToMerge()).thenReturn(List.of()); + when(mergeHandler.getPendingMergeCount()).thenReturn(1, 0); + when(mergeHandler.hasPendingMerges()).thenReturn(true, false); + when(mergeHandler.getNextMerge()).thenReturn(merge1).thenReturn(null); + when(mergeHandler.doMerge(any())).thenReturn(new MergeResult(Map.of())); + + MergeScheduler scheduler = new MergeScheduler( + mergeHandler, + (result, merge) -> {}, + () -> {}, + activateCount::incrementAndGet, + () -> {}, + shardId, + idxSettings, + threadPool + ); + + scheduler.triggerMerges(); + Thread.sleep(200); + assertEquals("throttle should not activate when merges within limit", 0, activateCount.get()); + } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java index ec17a29093052..a3c3a884e60de 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java @@ -180,6 +180,8 @@ private MergeScheduler createMergeScheduler() { createNoopHandler(emptySnapshotSupplier()), (mergeResult, oneMerge) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, idxSettings, mockThreadPool() @@ -402,6 +404,8 @@ public void testStatsWithAutoThrottleEnabled() { createNoopHandler(emptySnapshotSupplier()), (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, idxSettings, mockThreadPool() @@ -430,6 +434,8 @@ public void testTriggerMergesExecutesMergeThread() throws Exception { handler, (mr, om) -> captured.set(mr), () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -455,6 +461,8 @@ public void testTriggerMergesHandlesMergeFailure() throws Exception { handler, (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -479,7 +487,7 @@ public void testForceMergeExecutesMerges() throws Exception { MergeScheduler scheduler = new MergeScheduler(handler, (mr, om) -> { captured.set(mr); latch.countDown(); - }, () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); + }, () -> {}, () -> {}, () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); onForceMergeThread(() -> scheduler.forceMerge(1)); assertTrue(latch.await(5, TimeUnit.SECONDS)); @@ -522,6 +530,8 @@ public void testForceMergeSerializesOnlyConcurrentCallers() throws Exception { handler, (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -584,6 +594,8 @@ public void testForceMergeBlocksUntilComplete() throws Exception { handler, (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -606,6 +618,8 @@ public void testForceMergePropagatesFailure() throws Exception { handler, (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -634,6 +648,8 @@ public void testRunMergeInvokesCleanupOnFailure() throws Exception { handler, (mr, om) -> {}, () -> cleanupCalled.set(true), + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -666,6 +682,8 @@ public void testRunMergeInvokesApplyOnSuccess() throws Exception { handler, applyCallback, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -678,7 +696,14 @@ public void testRunMergeInvokesApplyOnSuccess() throws Exception { public void testForceMergeWithNoSegmentsIsNoop() throws Exception { MergeScheduler scheduler = new MergeScheduler(createNoopHandler(emptySnapshotSupplier()), (mr, om) -> { fail("applyMergeChanges should not be called"); - }, () -> { fail("onMergeFailureCleanup should not be called"); }, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); + }, + () -> { fail("onMergeFailureCleanup should not be called"); }, + () -> {}, + () -> {}, + SHARD_ID, + mergeSchedulerSettings(), + mockThreadPool() + ); onForceMergeThread(() -> scheduler.forceMerge(1)); } @@ -696,6 +721,8 @@ public void testConcurrentForceMergeAndBackgroundMerge() throws Exception { handler, (mr, om) -> {}, () -> {}, + () -> {}, + () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() From 7d40b567990ed1639fbf65ee34f077640f4f1c1e Mon Sep 17 00:00:00 2001 From: Bukhtawar Khan Date: Thu, 25 Jun 2026 21:08:08 +0530 Subject: [PATCH 55/94] Fix NPE in S3 multipart upload when provideStream() throws for any part (#22309) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Fix NPE in multipart upload when provideStream() throws for any part When provideStream() throws (e.g. AlreadyClosedException from a concurrently-merged Lucene segment during UltraWarm pre-tiering sync), the catch block in AsyncPartsHandler.uploadParts() at line 118 released the semaphore but added no future to the futures list, leaving the inputStreamContainers slot null. This caused a race: allOfExceptionForwarded() completed successfully on the shorter futures list (missing parts = no failure signal), then mergeAndVerifyChecksum() dereferenced the null slot and threw NPE, surfaced to the caller as: SdkClientException: "Failed to send multipart upload requests" Caused by: NullPointerException: Cannot invoke "CheckedContainer.getChecksum()" because AtomicReferenceArray.get(int) is null The race is exacerbated because allOfExceptionForwarded() on a shorter futures list can complete — and trigger completionListener → indexInput.close() — while the uploadParts() for-loop is still iterating later parts and calling indexInput.clone(), causing secondary AlreadyClosedExceptions. Fix: add a pre-failed CompletableFuture in the catch block for every part whose provideStream() throws. This ensures futures.size() always equals numberOfParts, so allOfExceptionForwarded() can only complete after all parts have been accounted for, the upload is aborted via cleanUpParts(), and the original exception propagates to the caller. Tests: three regression tests covering first-part failure (empty futures list edge case), middle-part failure (the production scenario), and all-parts failure, each asserting no NPE and correct exception propagation with abort. Fixes: UltraWarm migration pre-tiering sync "9 shard(s) failed" on AlreadyClosedException / concurrent segment lifecycle. Signed-off-by: Bukhtawar Khan * Fix IndexInput Arena invalidation during async multipart upload via ref count IndexInput.clone() requires the master IndexInput to be open: closing the master calls arena.close() which invalidates all MemorySegments shared by clones, causing AlreadyClosedException on subsequent clone() calls. In DataFormatAwareRemoteDirectory.uploadBlob(), the master indexInput is captured by two things: the provideStream() supplier lambda and the completion listener's runAfter close. For large files (>15GB) routed to the SizeBasedBlockingQ, the completion listener can fire while the uploadParts() loop is still mid-way through provideStream() calls — because allOfExceptionForwarded() can complete on a shorter futures list (the cascade bug fixed by the companion PR), and each provideStream() blocks on maybeAcquireSemaphore() for ~12 seconds under permit contention (observed in production: 47 futures for 1183 parts, ~10 minutes of semaphore delay). Fix: govern indexInput's lifetime with an AtomicInteger ref count rather than a direct close in the completion listener. - Starts at 1 (held by the completion listener's onClose runnable). - Each provideStream() increments before clone(); the overridden OffsetRangeIndexInputStream.close() decrements after the clone is done. - Completes listener decrements the initial 1. - indexInput.close() only executes when the count reaches 0 — after ALL part streams have closed AND the completion listener has fired. This makes the completion listener fire-at-any-time safe: even if it fires while 1136 provideStream() calls are still pending (as in the production trace), the master stays open and subsequent clone() calls succeed. Tests added: - testIndexInputRefCount_StaysOpenWhileProvideStreamInProgress: verifies completion listener firing does not close indexInput while streams exist - testIndexInputRefCount_ClosedAfterAllStreamsClose: verifies indexInput is closed exactly once, only after all streams close Signed-off-by: Bukhtawar Khan * Add IndexInput close-tracking diagnostics; fix slice() and clone() bugs 1. Replace clone() with slice() in provideStream() supplier: clone() passes the master's segments[] array by reference to MultiSegmentImpl. When any part's clone closes, Arrays.fill(segments, null) corrupts the shared array, causing AlreadyClosedException on all subsequent parts during their OffsetRangeIndexInputStream constructor's seek() call. slice() with a non-full byte range calls ArrayUtil.copyOfSubArray(), giving each part an independent segments[] copy. Closing one part does not affect others. ~79 KB extra heap for 1129 parts; no extra mmap. 2. Fix FilterIndexInput.clone() delegation in the diagnostic wrapper: super.clone() calls Object.clone() — a shallow copy of the FilterIndexInput wrapper sharing the same 'in' field reference. When OffsetRangeRefCount fires closeInternal() on this broken clone, it calls our tracking close() override as if closing the master, causing spurious double-close WARNs and incorrect indexInputClosedBy attribution. Fix: delegate to in.clone() which calls the underlying MemorySegmentIndexInput.clone() properly. 3. Close-tracking wrapper (diagnostic, to be removed after root cause confirmed): Wraps the master IndexInput opened at line 382 to record who calls close() and warn when clone() is attempted on an already-closed input. Signed-off-by: Bukhtawar Khan --------- Signed-off-by: Bukhtawar Khan --- .../s3/async/AsyncPartsHandler.java | 44 +++++ .../s3/async/AsyncTransferManager.java | 8 + .../s3/async/AsyncTransferManagerTests.java | 158 ++++++++++++++++ .../DataFormatAwareRemoteDirectory.java | 89 +++++++-- .../DataFormatAwareRemoteDirectoryTests.java | 172 ++++++++++++++++++ 5 files changed, 456 insertions(+), 15 deletions(-) diff --git a/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncPartsHandler.java b/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncPartsHandler.java index e278f12bc6a26..3514b0933f164 100644 --- a/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncPartsHandler.java +++ b/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncPartsHandler.java @@ -119,9 +119,53 @@ public static List> uploadParts( if (semaphore != null) { semaphore.release(); } + // provideStream() threw before futures.add() was reached, so futures.size() + // is now less than streamContext.getNumberOfParts(). This mismatch has two + // consequences if left unaddressed: + // + // 1. NPE in mergeAndVerifyChecksum: allOfExceptionForwarded() sees only the + // shorter futures list and completes successfully (no failure signal for the + // missing parts). It then calls mergeAndVerifyChecksum(), which iterates the + // full-length inputStreamContainers array and dereferences the null slot left + // by the failed part — throwing NPE instead of propagating the real cause. + // + // 2. Race: indexInput closed while the uploadParts() loop is still running. + // allOfExceptionForwarded() on the shorter list completes while the for-loop + // is still calling provideStream() (and indexInput.clone()) for later parts. + // The completion triggers completionListener → indexInput.close(), which + // closes the Arena backing the MemorySegmentIndexInput. Any subsequent + // clone() call in the still-running loop then hits AlreadyClosedException, + // masking the original failure with a confusing secondary error. + // + // Fix: add a pre-failed future so futures.size() == numberOfParts always. + // allOfExceptionForwarded() then waits for all parts, the chain fails cleanly, + // cleanUpParts() aborts the multipart upload, and the original exception + // propagates to the caller. + final int failedPartNumber = partIdx + 1; + log.warn( + () -> new ParameterizedMessage( + "provideStream failed for part {} of file [{}] (total parts: {}); " + + "marking part as failed so the multipart upload is aborted cleanly.", + failedPartNumber, + uploadRequest.getKey(), + streamContext.getNumberOfParts() + ), + ex + ); + CompletableFuture failedFuture = new CompletableFuture<>(); + failedFuture.completeExceptionally(ex); + futures.add(failedFuture); } } + assert futures.size() == streamContext.getNumberOfParts() : "futures list size [" + + futures.size() + + "] must equal numberOfParts [" + + streamContext.getNumberOfParts() + + "];" + + " a size mismatch means allOfExceptionForwarded will complete before all parts are accounted for," + + " allowing mergeAndVerifyChecksum to dereference a null inputStreamContainers slot"; + return futures; } diff --git a/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncTransferManager.java b/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncTransferManager.java index b0bd9694d0e84..1ae8346fff138 100644 --- a/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncTransferManager.java +++ b/plugins/repository-s3/src/main/java/org/opensearch/repositories/s3/async/AsyncTransferManager.java @@ -275,6 +275,14 @@ private BiFunction handleExcep return (response, throwable) -> { if (throwable != null) { + log.warn( + () -> new ParameterizedMessage( + "Multipart upload failed for file [{}] (upload id: {}), aborting. Cause: {}", + uploadRequest.getKey(), + uploadId, + throwable.getClass().getSimpleName() + ": " + throwable.getMessage() + ) + ); AsyncPartsHandler.cleanUpParts(s3AsyncClient, uploadRequest, uploadId); handleException(returnFuture, () -> "Failed to send multipart upload requests.", throwable); } else { diff --git a/plugins/repository-s3/src/test/java/org/opensearch/repositories/s3/async/AsyncTransferManagerTests.java b/plugins/repository-s3/src/test/java/org/opensearch/repositories/s3/async/AsyncTransferManagerTests.java index 8b5ab0333997a..2e61dd2451b38 100644 --- a/plugins/repository-s3/src/test/java/org/opensearch/repositories/s3/async/AsyncTransferManagerTests.java +++ b/plugins/repository-s3/src/test/java/org/opensearch/repositories/s3/async/AsyncTransferManagerTests.java @@ -292,4 +292,162 @@ public void testMultipartUploadCorruption() { verify(s3AsyncClient, times(0)).completeMultipartUpload(any(CompleteMultipartUploadRequest.class)); verify(s3AsyncClient, times(1)).abortMultipartUpload(any(AbortMultipartUploadRequest.class)); } + + /** + * Regression: when provideStream() throws for one part (e.g., AlreadyClosedException from a + * concurrently-merged Lucene segment), the upload must fail cleanly rather than silently + * leaving a null slot in inputStreamContainers and later NPE-ing in mergeAndVerifyChecksum. + * + * Root cause: the catch block in AsyncPartsHandler.uploadParts() swallowed the exception and + * added no future, so allOfExceptionForwarded() completed successfully on the shorter futures + * list, then mergeAndVerifyChecksum() dereferenced the null slot — producing a confusing + * "Failed to send multipart upload requests" SdkClientException wrapping an NPE instead of + * the original IOException. + * + * Fix: add a pre-failed CompletableFuture for any part whose provideStream() throws, so + * allOfExceptionForwarded() sees the failure, the upload is aborted, and the original + * exception propagates to the caller. + */ + public void testMultipartUploadProvideStreamExceptionOnMiddlePart() throws Exception { + setUpMultipartMocks(); + + // Part index 2 (middle) throws — simulates AlreadyClosedException from mmap'd segment + CompletableFuture result = asyncTransferManager.uploadObject( + s3AsyncClient, + buildUploadRequest(true, 3376132981L), + new StreamContext((partIdx, partSize, position) -> { + if (partIdx == 2) { + throw new IOException("Already closed: MemorySegmentIndexInput(path=\"_merged_430d.parquet\")"); + } + return new InputStreamContainer(new ZeroInputStream(partSize), partSize, position); + }, ByteSizeUnit.MB.toBytes(1), ByteSizeUnit.MB.toBytes(1), 5), + new StatsMetricPublisher() + ); + + ExecutionException ex = expectThrows(ExecutionException.class, () -> result.get(5, TimeUnit.SECONDS)); + + // Must NOT be NPE (was the pre-fix symptom) + assertFalse( + "Must not surface as NullPointerException", + ExceptionsHelper.unwrapCausesAndSuppressed(ex, t -> t instanceof NullPointerException).isPresent() + ); + // Original IOException must appear in the cause chain + assertTrue( + "Original IOException from provideStream must be in the cause chain", + ExceptionsHelper.unwrapCausesAndSuppressed( + ex, + t -> t instanceof IOException && t.getMessage().contains("Already closed") + ).isPresent() + ); + + verify(s3AsyncClient, times(1)).createMultipartUpload(any(CreateMultipartUploadRequest.class)); + verify(s3AsyncClient, times(0)).completeMultipartUpload(any(CompleteMultipartUploadRequest.class)); + verify(s3AsyncClient, times(1)).abortMultipartUpload(any(AbortMultipartUploadRequest.class)); + } + + /** + * Regression: same fix, first part fails. Ensures the mismatch between futures list size (0) + * and numberOfParts (5) is handled — previously allOfExceptionForwarded on an empty list + * completed immediately, then mergeAndVerifyChecksum NPE'd on slot 0. + */ + public void testMultipartUploadProvideStreamExceptionOnFirstPart() throws Exception { + setUpMultipartMocks(); + + CompletableFuture result = asyncTransferManager.uploadObject( + s3AsyncClient, + buildUploadRequest(true, 3376132981L), + new StreamContext((partIdx, partSize, position) -> { + if (partIdx == 0) { + throw new IOException("Already closed: MemorySegmentIndexInput(path=\"_merged_430d.parquet\")"); + } + return new InputStreamContainer(new ZeroInputStream(partSize), partSize, position); + }, ByteSizeUnit.MB.toBytes(1), ByteSizeUnit.MB.toBytes(1), 5), + new StatsMetricPublisher() + ); + + ExecutionException ex = expectThrows(ExecutionException.class, () -> result.get(5, TimeUnit.SECONDS)); + assertFalse( + "Must not surface as NullPointerException", + ExceptionsHelper.unwrapCausesAndSuppressed(ex, t -> t instanceof NullPointerException).isPresent() + ); + assertTrue( + "Original IOException must be in the cause chain", + ExceptionsHelper.unwrapCausesAndSuppressed( + ex, + t -> t instanceof IOException && t.getMessage().contains("Already closed") + ).isPresent() + ); + verify(s3AsyncClient, times(1)).createMultipartUpload(any(CreateMultipartUploadRequest.class)); + verify(s3AsyncClient, times(0)).completeMultipartUpload(any(CompleteMultipartUploadRequest.class)); + verify(s3AsyncClient, times(1)).abortMultipartUpload(any(AbortMultipartUploadRequest.class)); + } + + /** + * Regression: all parts fail — futures list is empty. allOfExceptionForwarded on [] used to + * complete immediately with success, then NPE on every slot. With the fix every part adds a + * failed future so the first failure propagates correctly. + */ + public void testMultipartUploadProvideStreamExceptionOnAllParts() throws Exception { + setUpMultipartMocks(); + + CompletableFuture result = asyncTransferManager.uploadObject( + s3AsyncClient, + buildUploadRequest(true, 3376132981L), + new StreamContext((partIdx, partSize, position) -> { + throw new IOException("Already closed: MemorySegmentIndexInput(path=\"_merged_430d.parquet\")"); + }, ByteSizeUnit.MB.toBytes(1), ByteSizeUnit.MB.toBytes(1), 5), + new StatsMetricPublisher() + ); + + ExecutionException ex = expectThrows(ExecutionException.class, () -> result.get(5, TimeUnit.SECONDS)); + assertFalse( + "Must not surface as NullPointerException", + ExceptionsHelper.unwrapCausesAndSuppressed(ex, t -> t instanceof NullPointerException).isPresent() + ); + assertTrue( + "Original IOException must be in the cause chain", + ExceptionsHelper.unwrapCausesAndSuppressed( + ex, + t -> t instanceof IOException && t.getMessage().contains("Already closed") + ).isPresent() + ); + verify(s3AsyncClient, times(1)).createMultipartUpload(any(CreateMultipartUploadRequest.class)); + verify(s3AsyncClient, times(0)).completeMultipartUpload(any(CompleteMultipartUploadRequest.class)); + verify(s3AsyncClient, times(1)).abortMultipartUpload(any(AbortMultipartUploadRequest.class)); + } + + // ── Helpers ──────────────────────────────────────────────────────────────── + + private void setUpMultipartMocks() { + CompletableFuture createFuture = new CompletableFuture<>(); + createFuture.complete(CreateMultipartUploadResponse.builder().uploadId("uploadId").build()); + when(s3AsyncClient.createMultipartUpload(any(CreateMultipartUploadRequest.class))).thenReturn(createFuture); + + CompletableFuture partFuture = new CompletableFuture<>(); + partFuture.complete(UploadPartResponse.builder().checksumCRC32("pzjqHA==").build()); + when(s3AsyncClient.uploadPart(any(UploadPartRequest.class), any(AsyncRequestBody.class))).thenReturn(partFuture); + + CompletableFuture abortFuture = new CompletableFuture<>(); + abortFuture.complete(AbortMultipartUploadResponse.builder().build()); + when(s3AsyncClient.abortMultipartUpload(any(AbortMultipartUploadRequest.class))).thenReturn(abortFuture); + } + + private UploadRequest buildUploadRequest(boolean integrityCheck, long checksum) { + return new UploadRequest( + "bucket", + "key", + ByteSizeUnit.MB.toBytes(5), + WritePriority.HIGH, + uploadSuccess -> {}, + integrityCheck, + checksum, + true, + new HashMap<>(), + ServerSideEncryption.AWS_KMS.toString(), + randomAlphaOfLength(10), + true, + null, + null + ); + } } diff --git a/server/src/main/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectory.java b/server/src/main/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectory.java index dbeda9067bbac..3c64578e5568e 100644 --- a/server/src/main/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectory.java +++ b/server/src/main/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectory.java @@ -48,6 +48,7 @@ import java.util.List; import java.util.Map; import java.util.Optional; +import java.util.concurrent.atomic.AtomicReference; import java.util.function.UnaryOperator; /** @@ -379,19 +380,75 @@ private void uploadBlob( } else { expectedChecksum = calculateChecksumOfChecksum(from, src); } - IndexInput indexInput = from.openInput(src, ioContext); + final IndexInput rawIndexInput = from.openInput(src, ioContext); + // Wrap to detect double-close and already-closed slice attempts. These indicate + // lifecycle bugs — double-close means two code paths are releasing the same input, + // and an already-closed slice attempt means the master was closed before all parts + // completed (should not happen with the ref count in place). + final AtomicReference indexInputClosed = new AtomicReference<>(false); + final IndexInput indexInput = new org.apache.lucene.store.FilterIndexInput("tracked:" + src, rawIndexInput) { + @Override + public void close() throws IOException { + if (indexInputClosed.getAndSet(true)) { + logger.warn( + () -> new ParameterizedMessage( + "IndexInput for [{}] closed a second time (double-close) on thread [{}]; " + + "possible lifecycle bug in the upload path", + src, + Thread.currentThread().getName() + ) + ); + } else { + logger.debug(() -> new ParameterizedMessage("IndexInput.close() for [{}]", src)); + } + super.close(); + } + + @Override + public IndexInput clone() { + if (indexInputClosed.get()) { + logger.warn( + () -> new ParameterizedMessage( + "IndexInput.slice() attempted on already-closed IndexInput for [{}] on thread [{}];" + + " the master was closed before all parts completed", + src, + Thread.currentThread().getName() + ) + ); + } + // Delegate to the underlying IndexInput's clone() — NOT super.clone(). + // FilterIndexInput inherits Object.clone() which produces a shallow wrapper + // copy sharing the same 'in' field; that causes double-close when the shallow + // copy is closed via OffsetRangeRefCount. The supplier now uses slice() rather + // than clone(), so this path is only reached by external callers (if any); + // those callers receive an untracked raw clone, which is intentional since + // the tracking wrapper is for the master lifecycle only. + return in.clone(); + } + }; try { long contentLength = indexInput.length(); boolean remoteIntegrityEnabled = (targetContainer instanceof AsyncMultiStreamBlobContainer) && ((AsyncMultiStreamBlobContainer) targetContainer).remoteIntegrityCheckSupported(); - lowPriorityUpload = lowPriorityUpload || contentLength > ByteSizeUnit.GB.toBytes(15); - - RemoteTransferContainer.OffsetRangeInputStreamSupplier supplier = lowPriorityUpload + final boolean effectiveLowPriority = lowPriorityUpload || contentLength > ByteSizeUnit.GB.toBytes(15); + lowPriorityUpload = effectiveLowPriority; + + // Use slice() instead of clone() so each part gets its own independent + // MemorySegment[] array copy (via ArrayUtil.copyOfSubArray in buildSlice). + // clone() passes the master's segments[] array by reference to MultiSegmentImpl; + // when any clone closes, Arrays.fill(segments, null) corrupts the shared array, + // causing AlreadyClosedException on all subsequent provideStream() calls. + // slice() always allocates a new array for non-full-range slices, so each part's + // close only nullifies its own private copy. No extra mmap; just a new Java object + // pointing into the existing mapped region. + RemoteTransferContainer.OffsetRangeInputStreamSupplier supplier = effectiveLowPriority ? (size, position) -> lowPriorityUploadRateLimiter.apply( - new OffsetRangeIndexInputStream(indexInput.clone(), size, position) + new OffsetRangeIndexInputStream(indexInput.slice("part@" + position, position, size), size, 0) ) - : (size, position) -> uploadRateLimiter.apply(new OffsetRangeIndexInputStream(indexInput.clone(), size, position)); + : (size, position) -> uploadRateLimiter.apply( + new OffsetRangeIndexInputStream(indexInput.slice("part@" + position, position, size), size, 0) + ); RemoteTransferContainer remoteTransferContainer = new RemoteTransferContainer( src, @@ -409,7 +466,13 @@ private void uploadBlob( postUploadRunner, listener, remoteTransferContainer, - indexInput + () -> { + try { + indexInput.close(); + } catch (IOException e) { + logger.warn(() -> new ParameterizedMessage("Error closing IndexInput for file [{}]", src), e); + } + } ); WriteContext writeContext = remoteTransferContainer.createWriteContext(); @@ -496,7 +559,7 @@ private ActionListener createCompletionListener( Runnable postUploadRunner, ActionListener listener, RemoteTransferContainer remoteTransferContainer, - IndexInput indexInput + Runnable onClose ) { ActionListener completionListener = ActionListener.wrap(resp -> { try { @@ -530,13 +593,9 @@ private ActionListener createCompletionListener( } }); - completionListener = ActionListener.runAfter(completionListener, () -> { - try { - indexInput.close(); - } catch (IOException e) { - logger.warn("Error closing IndexInput", e); - } - }); + if (onClose != null) { + completionListener = ActionListener.runAfter(completionListener, onClose); + } return completionListener; } diff --git a/server/src/test/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectoryTests.java b/server/src/test/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectoryTests.java index 1ca9e9f137605..876b426a91586 100644 --- a/server/src/test/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectoryTests.java +++ b/server/src/test/java/org/opensearch/index/store/remote/DataFormatAwareRemoteDirectoryTests.java @@ -1269,4 +1269,176 @@ public void testOpenBlockInput_InvalidPosition_Throws() { public void testOpenBlockInput_LengthExceedsFileLength_Throws() { expectThrows(IllegalArgumentException.class, () -> directory.openBlockInput("_0.cfe__UUID1", 5, 10, 10, IOContext.DEFAULT)); } + + // ═══════════════════════════════════════════════════════════════ + // IndexInput ref-count exhaustion Tests + // ═══════════════════════════════════════════════════════════════ + + /** + * Helper: builds an AsyncDir backed by an AsyncMultiStreamBlobContainer that captures the + * WriteContext and completion listener without performing any real upload. + */ + private record AsyncDirFixture(DataFormatAwareRemoteDirectory dir, AsyncMultiStreamBlobContainer container, AtomicReference< + WriteContext> writeCtx, AtomicReference> listener, java.util.concurrent.CountDownLatch captureLatch) { + } + + private AsyncDirFixture buildAsyncFixture() throws Exception { + AsyncMultiStreamBlobContainer container = mock(AsyncMultiStreamBlobContainer.class); + when(container.remoteIntegrityCheckSupported()).thenReturn(true); + when(container.path()).thenReturn(baseBlobPath); + + BlobStore store = mock(BlobStore.class); + when(store.blobContainer(baseBlobPath)).thenReturn(container); + + DataFormatAwareRemoteDirectory dir = new DataFormatAwareRemoteDirectory( + store, + baseBlobPath, + UnaryOperator.identity(), + UnaryOperator.identity(), + UnaryOperator.identity(), + UnaryOperator.identity(), + new HashMap<>(), + logger, + null, + null + ); + + AtomicReference writeCtx = new AtomicReference<>(); + AtomicReference> listener = new AtomicReference<>(); + java.util.concurrent.CountDownLatch latch = new java.util.concurrent.CountDownLatch(1); + + Mockito.doAnswer(inv -> { + writeCtx.set(inv.getArgument(0)); + listener.set(inv.getArgument(1)); + latch.countDown(); + return null; + }).when(container).asyncBlobUpload(any(WriteContext.class), any()); + + return new AsyncDirFixture(dir, container, writeCtx, listener, latch); + } + + private Directory buildFileDir(String filename, int dataBytes) throws IOException { + Directory d = newDirectory(); + IndexOutput out = d.createOutput(filename, IOContext.DEFAULT); + out.writeBytes(new byte[dataBytes], dataBytes); + CodecUtil.writeFooter(out); + out.close(); + d.sync(List.of(filename)); + return d; + } + // ═══════════════════════════════════════════════════════════════ + // slice() isolation tests + // ═══════════════════════════════════════════════════════════════ + + /** + * Regression: closing one part's stream must NOT prevent other parts from being served. + * + * Root cause: clone() passed the master's segments[] array by reference to MultiSegmentImpl. + * When any clone closed, Arrays.fill(segments, null) corrupted the shared array, causing + * AlreadyClosedException on all subsequent provideStream() calls during seek() in the + * OffsetRangeIndexInputStream constructor. + * + * Fix: slice() calls ArrayUtil.copyOfSubArray() for non-full-range slices, giving each part + * its own independent segments[] copy. Closing one part only nullifies its own array. + */ + public void testIndexInputRefCount_StaysOpenWhileProvideStreamInProgress() throws Exception { + AsyncMultiStreamBlobContainer asyncContainer = mock(AsyncMultiStreamBlobContainer.class); + when(asyncContainer.remoteIntegrityCheckSupported()).thenReturn(true); + when(asyncContainer.path()).thenReturn(baseBlobPath); + + BlobStore asyncBlobStore = mock(BlobStore.class); + when(asyncBlobStore.blobContainer(baseBlobPath)).thenReturn(asyncContainer); + + DataFormatAwareRemoteDirectory asyncDir = new DataFormatAwareRemoteDirectory( + asyncBlobStore, + baseBlobPath, + UnaryOperator.identity(), + UnaryOperator.identity(), + UnaryOperator.identity(), + UnaryOperator.identity(), + new HashMap<>(), + logger, + null, + null + ); + + // Write a real file with codec footer (required for checksum computation) + Directory storeDirectory = newDirectory(); + String filename = "_segment.bin"; + IndexOutput indexOutput = storeDirectory.createOutput(filename, IOContext.DEFAULT); + // Write enough bytes to ensure multipart upload (content > 0) + byte[] content = new byte[1024]; + for (int i = 0; i < content.length; i++) + content[i] = (byte) i; + indexOutput.writeBytes(content, content.length); + CodecUtil.writeFooter(indexOutput); + indexOutput.close(); + storeDirectory.sync(List.of(filename)); + + // Capture the WriteContext so we can manually call provideStream() on a different thread, + // simulating the SizeBasedBlockingQ consumer running long after asyncBlobUpload() returns. + AtomicReference capturedWriteContext = new AtomicReference<>(); + AtomicReference> capturedListener = new AtomicReference<>(); + CountDownLatch uploadCaptureLatch = new CountDownLatch(1); + + Mockito.doAnswer(invocation -> { + capturedWriteContext.set(invocation.getArgument(0)); + capturedListener.set(invocation.getArgument(1)); + uploadCaptureLatch.countDown(); + return null; + }).when(asyncContainer).asyncBlobUpload(any(WriteContext.class), any()); + + CountDownLatch completionLatch = new CountDownLatch(1); + AtomicReference uploadFailure = new AtomicReference<>(); + + asyncDir.copyFrom(storeDirectory, filename, filename, IOContext.DEFAULT, () -> {}, new ActionListener<>() { + @Override + public void onResponse(Void unused) { + completionLatch.countDown(); + } + + @Override + public void onFailure(Exception e) { + uploadFailure.set(e); + completionLatch.countDown(); + } + }, false, null); + + assertTrue("asyncBlobUpload should be called", uploadCaptureLatch.await(5, TimeUnit.SECONDS)); + + // Get the StreamContext and serve 3 sequential part streams, closing each before the next. + // With the old clone() approach, closing stream0 would call Arrays.fill(segments, null) + // on the SHARED array, causing provideStream(1) to throw AlreadyClosedException in the + // OffsetRangeIndexInputStream constructor's seek() call. + // With slice(), each part has its own independent segments[] copy — closing one never + // affects others. + WriteContext writeContext = capturedWriteContext.get(); + long partSize = Math.max(1, writeContext.getFileSize() / 3); + org.opensearch.common.StreamContext streamContext = writeContext.getStreamProvider(partSize); + + org.opensearch.common.io.InputStreamContainer stream0 = streamContext.provideStream(0); + assertNotNull("Part 0 stream must be created", stream0); + stream0.getInputStream().close(); // closes part 0's independent slice — must NOT affect parts 1,2 + + try { + org.opensearch.common.io.InputStreamContainer stream1 = streamContext.provideStream(1); + assertNotNull("Part 1 stream must be created after part 0 closes — slice() fix", stream1); + stream1.getInputStream().close(); + + org.opensearch.common.io.InputStreamContainer stream2 = streamContext.provideStream(2); + assertNotNull("Part 2 stream must be created after parts 0,1 close — slice() fix", stream2); + stream2.getInputStream().close(); + } catch (org.apache.lucene.store.AlreadyClosedException e) { + fail( + "AlreadyClosedException must NOT be thrown after a prior part stream closes. " + + "This is the Arrays.fill(segments,null) shared-array corruption bug that " + + "slice() fixes. Exception: " + + e.getMessage() + ); + } + + capturedListener.get().onResponse(null); + assertTrue(completionLatch.await(5, TimeUnit.SECONDS)); + storeDirectory.close(); + } } From 7fa9b56e0b3facf650641095cdb5a9fc65a66e6b Mon Sep 17 00:00:00 2001 From: A S K Kamal Nayan Date: Thu, 25 Jun 2026 22:20:52 +0530 Subject: [PATCH 56/94] [Fix] [DFAE] Sync translog while relocating remote-backed data format aware primary shard (#22320) Signed-off-by: Kamal Nayan Co-authored-by: Kamal Nayan --- .../java/org/opensearch/index/shard/IndexShard.java | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/shard/IndexShard.java b/server/src/main/java/org/opensearch/index/shard/IndexShard.java index 522acc858a096..5f3d5feb7e1d6 100644 --- a/server/src/main/java/org/opensearch/index/shard/IndexShard.java +++ b/server/src/main/java/org/opensearch/index/shard/IndexShard.java @@ -1050,10 +1050,12 @@ public void relocated( forceRefreshes.close(); boolean syncTranslog = (isRemoteTranslogEnabled() || this.isMigratingToRemote()) - && Durability.ASYNC == indexSettings.getTranslogDurability(); - // Since all the index permits are acquired at this point, the translog buffer will not change. - // It is safe to perform sync of translogs now as this will ensure for remote-backed indexes, the - // translogs has been uploaded to the remote store. + && (Durability.ASYNC == indexSettings.getTranslogDurability() || indexSettings.isPluggableDataFormatEnabled()); + // Force a final, blocking translog upload to remote for ALL remote-backed indexes before draining + // uploads below. This must run for REQUEST durability too, not just ASYNC: with REQUEST the freshest + // acked ops may still be in the buffered upload path and not yet on remote. If we drained without + // this sync, the pending upload would hit the drained syncPermit, no-op (TLOG-SKIP), and those acked + // ops would never reach remote, silently lost on handoff since the target recovers from remote. if (syncTranslog) { maybeSync(); } From a6387ac5935d2c89698d895bc48186ce692e4470 Mon Sep 17 00:00:00 2001 From: Peter Zhu Date: Thu, 25 Jun 2026 13:16:11 -0400 Subject: [PATCH 57/94] Onboard new backport-pr re-usable github workflow (OpenSearch) (#22310) - Replace old backport workflow (VachaShah/backport + GitHub App) with reusable workflow - Remove delete_backport_branch.yml (now handled by reusable workflow) Signed-off-by: Peter Zhu --- .github/workflows/backport.yml | 40 +++----------------- .github/workflows/delete_backport_branch.yml | 22 ----------- 2 files changed, 6 insertions(+), 56 deletions(-) delete mode 100644 .github/workflows/delete_backport_branch.yml diff --git a/.github/workflows/backport.yml b/.github/workflows/backport.yml index 6c747ee8e5ce9..c3baf26c436d3 100644 --- a/.github/workflows/backport.yml +++ b/.github/workflows/backport.yml @@ -1,40 +1,12 @@ +--- name: Backport on: pull_request_target: - types: - - closed - - labeled + types: [closed, labeled] jobs: backport: - name: Backport - runs-on: ubuntu-latest - # Only react to merged PRs for security reasons. - # See https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#pull_request_target. - if: > - github.event.pull_request.merged - && ( - github.event.action == 'closed' - || ( - github.event.action == 'labeled' - && contains(github.event.label.name, 'backport') - ) - ) - permissions: - contents: write - pull-requests: write - steps: - - name: GitHub App token - id: github_app_token - uses: tibdex/github-app-token@3beb63f4bd073e61482598c45c71c1019b59b73a # v2.1.0 - with: - app_id: ${{ secrets.APP_ID }} - private_key: ${{ secrets.APP_PRIVATE_KEY }} - installation_id: 22958780 - - - name: Backport - uses: VachaShah/backport@142d3b8a8c70dc54db515e653e5ed3c3fac64100 # v2.2.0 - with: - github_token: ${{ steps.github_app_token.outputs.token }} - head_template: backport/backport-<%= number %>-to-<%= base %> - failure_labels: backport-failed + if: github.repository == 'opensearch-project/OpenSearch' + uses: opensearch-project/opensearch-build/.github/workflows/backport-pr.yml@58f2e5108a5164e37af78f5d8de5d825825023a9 + secrets: + OPENSEARCH_CI_BOT_TOKEN: ${{ secrets.OPENSEARCH_CI_BOT_TOKEN }} diff --git a/.github/workflows/delete_backport_branch.yml b/.github/workflows/delete_backport_branch.yml deleted file mode 100644 index 2cceadeb1f1e0..0000000000000 --- a/.github/workflows/delete_backport_branch.yml +++ /dev/null @@ -1,22 +0,0 @@ -name: Delete merged branch of the backport PRs -on: - pull_request: - types: - - closed - -jobs: - delete-branch: - runs-on: ubuntu-latest - permissions: - contents: write - if: github.repository == 'opensearch-project/OpenSearch' && (startsWith(github.event.pull_request.head.ref,'backport/') || startsWith(github.event.pull_request.head.ref,'release-chores/')) - steps: - - name: Delete merged branch - uses: actions/github-script@ed597411d8f924073f98dfc5c65a23a2325f34cd # v8 - with: - script: | - github.rest.git.deleteRef({ - owner: context.repo.owner, - repo: context.repo.repo, - ref: `heads/${context.payload.pull_request.head.ref}`, - }) From 7dde816828d96179d6ea5ed907e123db93dd0d97 Mon Sep 17 00:00:00 2001 From: Kai Huang <105710027+ahkcs@users.noreply.github.com> Date: Thu, 25 Jun 2026 11:07:33 -0700 Subject: [PATCH 58/94] Add fancy-regex to Cargo.lock (follow-up to #22002) (#22057) #22002 added `fancy-regex = "=0.14.0"` to the analytics-backend-datafusion Cargo.toml (for the grok UDF) but did not commit the matching Cargo.lock entry, leaving the manifest and lockfile inconsistent on main. Regenerate the lock so `--locked` builds resolve fancy-regex (and its bit-set / bit-vec transitive deps) without re-resolution. No other locked versions change. Signed-off-by: Kai Huang From 740494c94da38306bc93768a368fc4fae6e56de2 Mon Sep 17 00:00:00 2001 From: Sandesh Kumar Date: Thu, 25 Jun 2026 18:20:24 -0700 Subject: [PATCH 59/94] [analytics-engine] Plan Shape Golden Test Framework for ClickBench (#22276) * Introduce a Plan Shape Test Assertion Framework for entire query pipeline Signed-off-by: Aniketh Jain * Made AI remove its slop a bit more intensely Signed-off-by: Aniketh Jain * Add plan-shape golden files for 14 additional ClickBench queries Expand the ClickBenchPlanShapeIT allowlist from 5 to 19 queries, covering all ClickBench PPL queries that produce rows on the shipped 100-doc dataset. q7 is excluded due to per-shard constant-folded min/max divergence across tasks. Signed-off-by: Sandesh Kumar * Add plan-shape annotations to golden files explaining distinguishing plan decisions Each golden file now has a 2-3 line header comment explaining what makes that query's plan shape unique: backend choice rationale, key conversions (avg decomposition, dc/HLL, reduce_eval for TopK on sketches), pushdown layers, and unusual plan decisions (tree_shape=CONJUNCTIVE, PartiallySorted). Signed-off-by: Sandesh Kumar * Expand plan-shape coverage to all 43 ClickBench queries Full ClickBench workload coverage: 43 queries, 83 test cases (40 queries with both prod2s+prod1s combos, 3 queries with prod1s only). q7/q18/q29 are restricted to prod1s due to per-shard physical plan divergence in prod2s (constant-folded min/max values or TopK sort differences across shards with different data distributions). Signed-off-by: Sandesh Kumar * Achieve full 43-query ClickBench coverage with scrub rules for cross-shard divergence - Add DynamicFilter scrubbing: runtime TopK boundary predicates pushed into DataSourceExec are data-dependent and diverge across shards. - Add constant-folded projection scrubbing: min/max resolved from parquet metadata produce per-shard literal values in PlaceholderRowExec plans. - Expand allowlist to all 43 ClickBench queries (86 test cases total). - Add distinguishing plan-shape annotations to all golden files. - Remove FIXME [RemoveBeforeMerge] verbose testLogging from build.gradle. Signed-off-by: Sandesh Kumar * Fix golden file annotations based on plan-body review Correct 5 must-fix errors where comments contradicted the actual plan: - q6: SearchPhrase is keyword (not text); QueryShardExec used by many queries - q11: keyword != '' filter is lucene-delegated, not "forcing datafusion" - q18: query HAS a sort (keys ASC) and TopK fires; was incorrectly "no sort" - q20: numeric UserID equality is NOT lucene-delegable; has coordinator stage - q22: both LIKE + != predicates ARE lucene-delegated Fix 1 misleading comment: - q39: all predicates are numeric/date (parquet DataSourceExec), NOT same as q37/q38 Fix 4 minor accuracy nits: - q1: exchange/reduce are datafusion-only (not "throughout") - q13/q21/q34: SearchPhrase/URL are keyword fields (not "text") Signed-off-by: Sandesh Kumar * Run plan-shape ITs with production delegation blocklist and preserve comments - Create dedicated integTestPlanShape task that uses production-default blocked_predicates (NOT the empty override used by other ITs). - Move the empty-blocklist override from shared configureAnalyticsCluster into the default integTest cluster only. - Regenerate all 43 golden files reflecting production delegation behavior (no lucene delegation for !=, LIKE, ranges, IS [NOT] NULL, SARG). - Preserve hand-authored comments: writeGolden() reads existing leading # lines from the golden file and re-emits them across regeneration. - Add plan-shape annotations to all 43 golden files. Signed-off-by: Sandesh Kumar --------- Signed-off-by: Aniketh Jain Signed-off-by: Sandesh Kumar Co-authored-by: Aniketh Jain Co-authored-by: Sandesh Kumar --- .../exec/profile/QueryProfileBuilder.java | 2 + sandbox/qa/analytics-engine-rest/build.gradle | 45 +- .../analytics/qa/DatasetProvisioner.java | 163 ++++++-- .../qa/planshape/ClickBenchPlanShapeIT.java | 48 +++ .../qa/planshape/ExpectedQueryPlan.java | 111 +++++ .../qa/planshape/ExpectedQueryPlanLoader.java | 196 +++++++++ .../qa/planshape/PlanShapeGoldenTestBase.java | 383 ++++++++++++++++++ .../qa/planshape/ProfilePlanExtractor.java | 238 +++++++++++ .../analytics/qa/planshape/SettingsCombo.java | 86 ++++ .../qa/planshape/SettingsComboRegistry.java | 115 ++++++ .../analytics/qa/planshape/WorkloadSpec.java | 66 +++ .../planshape/clickbench/q1.plan.yaml | 37 ++ .../planshape/clickbench/q10.plan.yaml | 76 ++++ .../planshape/clickbench/q11.plan.yaml | 96 +++++ .../planshape/clickbench/q12.plan.yaml | 96 +++++ .../planshape/clickbench/q13.plan.yaml | 98 +++++ .../planshape/clickbench/q14.plan.yaml | 96 +++++ .../planshape/clickbench/q15.plan.yaml | 98 +++++ .../planshape/clickbench/q16.plan.yaml | 80 ++++ .../planshape/clickbench/q17.plan.yaml | 80 ++++ .../planshape/clickbench/q18.plan.yaml | 80 ++++ .../planshape/clickbench/q19.plan.yaml | 80 ++++ .../planshape/clickbench/q2.plan.yaml | 65 +++ .../planshape/clickbench/q20.plan.yaml | 62 +++ .../planshape/clickbench/q21.plan.yaml | 65 +++ .../planshape/clickbench/q22.plan.yaml | 98 +++++ .../planshape/clickbench/q23.plan.yaml | 48 +++ .../planshape/clickbench/q24.plan.yaml | 65 +++ .../planshape/clickbench/q25.plan.yaml | 66 +++ .../planshape/clickbench/q26.plan.yaml | 67 +++ .../planshape/clickbench/q27.plan.yaml | 66 +++ .../planshape/clickbench/q28.plan.yaml | 113 ++++++ .../planshape/clickbench/q29.plan.yaml | 113 ++++++ .../planshape/clickbench/q3.plan.yaml | 58 +++ .../planshape/clickbench/q30.plan.yaml | 49 +++ .../planshape/clickbench/q31.plan.yaml | 102 +++++ .../planshape/clickbench/q32.plan.yaml | 102 +++++ .../planshape/clickbench/q33.plan.yaml | 84 ++++ .../planshape/clickbench/q34.plan.yaml | 80 ++++ .../planshape/clickbench/q35.plan.yaml | 80 ++++ .../planshape/clickbench/q36.plan.yaml | 80 ++++ .../planshape/clickbench/q37.plan.yaml | 98 +++++ .../planshape/clickbench/q38.plan.yaml | 98 +++++ .../planshape/clickbench/q39.plan.yaml | 101 +++++ .../planshape/clickbench/q4.plan.yaml | 58 +++ .../planshape/clickbench/q40.plan.yaml | 105 +++++ .../planshape/clickbench/q41.plan.yaml | 101 +++++ .../planshape/clickbench/q42.plan.yaml | 101 +++++ .../planshape/clickbench/q43.plan.yaml | 105 +++++ .../planshape/clickbench/q5.plan.yaml | 62 +++ .../planshape/clickbench/q6.plan.yaml | 62 +++ .../planshape/clickbench/q7.plan.yaml | 44 ++ .../planshape/clickbench/q8.plan.yaml | 98 +++++ .../planshape/clickbench/q9.plan.yaml | 77 ++++ .../src/test/resources/planshape/combos.yaml | 24 ++ 55 files changed, 4938 insertions(+), 29 deletions(-) create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ClickBenchPlanShapeIT.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlan.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlanLoader.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/PlanShapeGoldenTestBase.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ProfilePlanExtractor.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsCombo.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsComboRegistry.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/WorkloadSpec.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q1.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q2.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q20.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q21.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q24.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q25.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q26.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q27.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q3.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q30.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q4.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q5.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q6.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q7.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml create mode 100644 sandbox/qa/analytics-engine-rest/src/test/resources/planshape/combos.yaml diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/profile/QueryProfileBuilder.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/profile/QueryProfileBuilder.java index 744f034e1317c..b90404b195de9 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/profile/QueryProfileBuilder.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/profile/QueryProfileBuilder.java @@ -57,6 +57,8 @@ public static QueryProfile snapshot(ExecutionGraph graph, QueryContext config, S String distribution = (stage != null && stage.getExchangeInfo() != null) ? stage.getExchangeInfo().distributionType().name() : null; + // TODO(plan-shape): also expose ALL post-fork alternatives + // (stage.getPlanAlternatives() -> each .resolvedFragment()) as `alternatives`. List fragment = stage != null && stage.getFragment() != null ? splitPlanLines(RelOptUtil.toString(stage.getFragment())) : List.of(); diff --git a/sandbox/qa/analytics-engine-rest/build.gradle b/sandbox/qa/analytics-engine-rest/build.gradle index aa8507e45c6b7..cb822cdf1b0b6 100644 --- a/sandbox/qa/analytics-engine-rest/build.gradle +++ b/sandbox/qa/analytics-engine-rest/build.gradle @@ -105,24 +105,33 @@ def configureAnalyticsCluster = { cluster -> // wildcards, or comma-lists). cluster.setting 'cluster.pluggable.dataformat', 'composite' - // Override default block-list to empty for integration tests so all predicate shapes - // are exercised with delegation enabled. Production clusters retain the default - // block-list (IS_NULL, IS_NOT_NULL, LIKE) until the dc() local execution fix lands. - cluster.setting 'analytics.delegation.lucene.blocked_predicates', '[]' - // analytics-engine requires the streaming transport — fragment dispatch is streaming-only. cluster.systemProperty 'opensearch.experimental.feature.transport.stream.enabled', 'true' } // ── Default integTest cluster ──────────────────────────────────────────────── -// TODO: enable numberOfNodes = 2 once partial aggs is handled testClusters.integTest { numberOfNodes = 2 configureAnalyticsCluster(delegate) + // Override block-list to empty so FilterDelegationGoldenIT exercises all predicate shapes. + setting 'analytics.delegation.lucene.blocked_predicates', '[]' } integTest { systemProperty 'tests.security.manager', 'false' + // Forward plan-shape harness props to the forked test JVM (see PlanShapeGoldenTestBase): + // -Dplan.generate=write capture + write q{N}.plan.yaml to the source tree + // -Dplan.generate=print capture + log the block (read-only peek, no write) + // (flag absent = assertion mode: compare capture vs golden) + // -Dplan.combos=... override which named combos run (else combos.yaml defaults) + ['plan.generate', 'plan.combos'].each { k -> + if (System.getProperty(k) != null) { systemProperty k, System.getProperty(k) } + } + // Source resources dir, so -Dplan.generate writes goldens to the source tree (not build/). + systemProperty 'plan.resourcesDir', file('src/test/resources').absolutePath + testLogging { + exceptionFormat = 'full' + } exclude '**/CoordinatorReduceMemtableIT.class' exclude '**/StreamingCoordinatorReduceIT.class' exclude '**/QueryCacheIT.class' @@ -130,6 +139,7 @@ integTest { exclude '**/SpillCleanupOnBootIT.class' exclude '**/YmlOversamplingIT.class' exclude '**/*NoMergeIT.class' + exclude '**/planshape/*IT.class' // Note: parallel forks against the same 2-node testCluster slow the suite down // (cluster is the bottleneck, not JVM startup) and cause cross-fork data races @@ -137,6 +147,29 @@ integTest { // defaults (single fork, no maxParallelForks override). } +// ── Plan-shape variant: 2 nodes, production-default blocked_predicates ─────── +// Runs plan-shape golden ITs with the production delegation blocklist (NOT the +// empty override used by the default integTest cluster for FilterDelegationGoldenIT). +task integTestPlanShape(type: RestIntegTestTask) { + description = 'Runs plan-shape golden ITs with production-default delegation blocklist' + testClassesDirs = sourceSets.test.output.classesDirs + classpath = sourceSets.test.runtimeClasspath + filter { + includeTestsMatching 'org.opensearch.analytics.qa.planshape.*IT' + } + systemProperty 'tests.security.manager', 'false' + ['plan.generate', 'plan.combos'].each { k -> + if (System.getProperty(k) != null) { systemProperty k, System.getProperty(k) } + } + systemProperty 'plan.resourcesDir', file('src/test/resources').absolutePath +} +check.dependsOn(integTestPlanShape) + +testClusters.integTestPlanShape { + numberOfNodes = 2 + configureAnalyticsCluster(delegate) +} + // ── Memtable variant: 2 nodes, datafusion.reduce.input_mode=memtable ───────── task integTestMemtable(type: RestIntegTestTask) { description = 'Runs coordinator-reduce tests with memtable sink mode' diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DatasetProvisioner.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DatasetProvisioner.java index 04d7dc6239917..8a0fa2b319af0 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DatasetProvisioner.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/DatasetProvisioner.java @@ -19,6 +19,8 @@ import java.io.InputStream; import java.io.InputStreamReader; import java.nio.charset.StandardCharsets; +import java.util.ArrayList; +import java.util.List; import java.util.stream.Collectors; import static org.junit.Assert.assertEquals; @@ -38,16 +40,53 @@ public final class DatasetProvisioner { private static final Logger logger = LogManager.getLogger(DatasetProvisioner.class); + /** + * How the dataset's documents are laid out into parquet segments per shard — a controlled axis + * for plan-shape tests, where the shard DataFusion physical plan can legitimately differ with + * segment count (e.g. the scan's {@code input_partitions}). The {@code suffix} disambiguates the + * per-layout index name. + */ + public enum SegmentLayout { + /** Exactly one segment per shard: single bulk + flush, then force-merge to one segment. */ + SINGLE_SEGMENT("1seg"), + /** + * Exactly {@link #MULTI_SEGMENT_COUNT} segments per shard: bulk in that many flushed parts. + * Parquet flush→segment is 1:1, so N parts give exactly N segments — deterministically pinning + * the scan's {@code input_partitions}. No force-merge: it caps "at most N" and could collapse + * tiny segments to 1; the default TieredMergePolicy won't auto-merge so few either. + */ + MULTI_SEGMENT("nseg"); + + /** Short tag for the per-layout index name (e.g. {@code parquet_hits_2s_1seg}). */ + public final String suffix; + + SegmentLayout(String suffix) { + this.suffix = suffix; + } + } + + /** The per-shard segment count produced by {@link SegmentLayout#MULTI_SEGMENT} (one flush each). */ + public static final int MULTI_SEGMENT_COUNT = 2; + private DatasetProvisioner() { // utility class } /** - * Provision the dataset into the cluster with parquet as the primary data format. + * Provision the dataset into the cluster with parquet as the primary data format. Segment layout + * is left to the engine (single bulk + flush); pass a {@link SegmentLayout} to control it. */ public static void provision(RestClient client, Dataset dataset, int numberOfShards) throws IOException { + provision(client, dataset, numberOfShards, null); + } + + /** + * Provision the dataset, optionally pinning the per-shard segment layout via {@code layout} + * ({@code null} = single bulk + flush, engine-decided segment count). + */ + public static void provision(RestClient client, Dataset dataset, int numberOfShards, SegmentLayout layout) throws IOException { for (String indexName : dataset.indexNames) { - provisionIndex(client, dataset, indexName, numberOfShards); + provisionIndex(client, dataset, indexName, numberOfShards, layout); } } @@ -56,11 +95,12 @@ public static void provision(RestClient client, Dataset dataset) throws IOExcept } /** - * Provision the dataset with {@code numberOfShards} overriding the value in the mapping. - * Pass {@code 0} to keep the mapping's value. Used by tests that need multi-shard - * coverage of planner paths (exchange insertion, sort split, etc.). + * Provision one index. {@code numberOfShards} overrides the mapping's value ({@code 0} keeps it). + * {@code layout} pins the per-shard segment layout ({@code null} = single bulk + flush, engine- + * decided). Used by tests needing multi-shard / multi-segment coverage of planner paths. */ - private static void provisionIndex(RestClient client, Dataset dataset, String indexName, int numberOfShards) throws IOException { + private static void provisionIndex(RestClient client, Dataset dataset, String indexName, int numberOfShards, SegmentLayout layout) + throws IOException { // Delete if exists try { client.performRequest(new Request("DELETE", "/" + indexName)); @@ -81,28 +121,29 @@ private static void provisionIndex(RestClient client, Dataset dataset, String in createIndex.setJsonEntity(indexBody); client.performRequest(createIndex); - // Bulk ingest + // Bulk ingest. The segment layout decides how the rows are committed into parquet segments. String bulkPath = dataset.indexNames.size() == 1 ? dataset.bulkResourcePath() : "datasets/" + dataset.name + "/bulk_" + indexName + ".json"; String bulkBody = loadResource(bulkPath); - Request bulkRequest = new Request("POST", "/" + indexName + "/_bulk"); - bulkRequest.setJsonEntity(bulkBody); - bulkRequest.addParameter("refresh", "true"); - bulkRequest.setOptions( - bulkRequest.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build() - ); - Response bulkResponse = client.performRequest(bulkRequest); - assertEquals("Bulk insert failed", 200, bulkResponse.getStatusLine().getStatusCode()); - - // Log bulk response for debugging - String responseBody = new String(bulkResponse.getEntity().getContent().readAllBytes(), StandardCharsets.UTF_8); - logger.info("Bulk response for index [{}]: {}", indexName, responseBody); - // Flush to commit parquet files to disk - Request flushRequest = new Request("POST", "/" + indexName + "/_flush"); - flushRequest.addParameter("force", "true"); - client.performRequest(flushRequest); + if (layout == SegmentLayout.MULTI_SEGMENT) { + // Split the ndjson into MULTI_SEGMENT_COUNT parts at action/source boundaries; flush + // after each. Each flush is one parquet segment (1:1), so every shard ends up with + // exactly that many segments. No force-merge — it would only risk collapsing them + // (see SegmentLayout.MULTI_SEGMENT). Background merge leaves so few segments alone. + for (String part : splitNdjson(bulkBody, MULTI_SEGMENT_COUNT)) { + bulkAndFlush(client, indexName, part); + } + } else { + bulkAndFlush(client, indexName, bulkBody); + if (layout == SegmentLayout.SINGLE_SEGMENT) { + // Collapse every shard to exactly one parquet segment so the shard physical plan is + // deterministic (no per-shard divergence from differing segment counts). + forceMergeAndFlush(client, indexName, 1); + } + // layout == null: leave segment count to the engine (legacy non-plan-shape callers). + } // Wait for index health. wait_for_status=yellow only guarantees primaries are assigned, not // that every shard copy is active and done initializing — on a multi-node cluster a search @@ -119,6 +160,82 @@ private static void provisionIndex(RestClient client, Dataset dataset, String in logger.info("Dataset [{}] provisioned into index [{}]", dataset.name, indexName); } + /** Bulk-ingest one ndjson body (refresh=true) and force a flush so its segment is committed. */ + private static void bulkAndFlush(RestClient client, String indexName, String ndjson) throws IOException { + Request bulkRequest = new Request("POST", "/" + indexName + "/_bulk"); + bulkRequest.setJsonEntity(ndjson); + bulkRequest.addParameter("refresh", "true"); + bulkRequest.setOptions( + bulkRequest.getOptions().toBuilder().addHeader("Content-Type", "application/x-ndjson").build() + ); + Response bulkResponse = client.performRequest(bulkRequest); + assertEquals("Bulk insert failed", 200, bulkResponse.getStatusLine().getStatusCode()); + String responseBody = new String(bulkResponse.getEntity().getContent().readAllBytes(), StandardCharsets.UTF_8); + logger.info("Bulk response for index [{}]: {}", indexName, responseBody); + + Request flushRequest = new Request("POST", "/" + indexName + "/_flush"); + flushRequest.addParameter("force", "true"); + client.performRequest(flushRequest); + } + + /** Force-merge every shard to exactly {@code maxSegments} parquet segments, then flush. */ + private static void forceMergeAndFlush(RestClient client, String indexName, int maxSegments) throws IOException { + Request merge = new Request("POST", "/" + indexName + "/_forcemerge"); + merge.addParameter("max_num_segments", Integer.toString(maxSegments)); + client.performRequest(merge); + Request flush = new Request("POST", "/" + indexName + "/_flush"); + flush.addParameter("force", "true"); + client.performRequest(flush); + } + + /** + * Split an ndjson bulk body into {@code parts} non-empty chunks at action/source line + * boundaries. The bulk format alternates an action line ({@code {"index":{}}}) and a source + * line, so every cut must land on an even document boundary to keep each chunk self-contained. + * Each chunk, flushed on its own, becomes one parquet segment. + */ + private static List splitNdjson(String ndjson, int parts) { + List docLines = new ArrayList<>(); + for (String line : ndjson.split("\n")) { + if (!line.isEmpty()) { + docLines.add(line); + } + } + int pairCount = docLines.size() / 2; // (action, source) pairs + // Each part is flushed into its own segment, so we need at least one doc per part — otherwise + // we'd silently produce fewer segments than requested and the shard plan's input_partitions + // wouldn't match the golden. Fail loudly instead. + if (pairCount < parts) { + throw new IllegalArgumentException( + "dataset has " + pairCount + " doc(s), too few for a " + parts + "-segment layout (need >= " + parts + ")" + ); + } + int pairsPerPart = Math.max(1, (int) Math.ceil((double) pairCount / parts)); + List chunks = new ArrayList<>(); + StringBuilder chunk = new StringBuilder(); + int pairsInChunk = 0; + for (int i = 0; i < docLines.size(); i += 2) { + chunk.append(docLines.get(i)).append('\n'); + if (i + 1 < docLines.size()) { + chunk.append(docLines.get(i + 1)).append('\n'); + } + if (++pairsInChunk == pairsPerPart && chunks.size() < parts - 1) { + chunks.add(chunk.toString()); + chunk = new StringBuilder(); + pairsInChunk = 0; + } + } + if (chunk.length() > 0) { + chunks.add(chunk.toString()); + } + return chunks; + } + + // TODO(plan-shape): both this and injectParquetSettings mutate the index settings by string/regex + // rewriting the raw mapping JSON — brittle (depends on the literal "number_of_shards" token) and + // it means a combo's SettingsCombo.indexSettings map can't drive arbitrary index knobs. Replace + // with: parse mapping JSON -> merge a settings map (mapping defaults + parquet + combo.indexSettings) + // -> re-serialize. Shared by ~15 ITs, so do it as its own change and re-verify them. /** * Replace the {@code number_of_shards} value in the mapping body. Matches the form * {@code "number_of_shards": } produced by the canonical dataset mappings. diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ClickBenchPlanShapeIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ClickBenchPlanShapeIT.java new file mode 100644 index 0000000000000..1855314084b42 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ClickBenchPlanShapeIT.java @@ -0,0 +1,48 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import com.carrotsearch.randomizedtesting.annotations.Name; +import com.carrotsearch.randomizedtesting.annotations.ParametersFactory; + +import org.opensearch.analytics.qa.ClickBenchTestHelper; + +import java.util.List; +import java.util.stream.IntStream; + +/** + * Plan-shape golden IT for ClickBench. Each (query, combo) is reported as its own JUnit case named + * {@code clickbench/q{N}[combo]}; target one with {@code --tests "*ClickBenchPlanShapeIT*q8*"}. + * + *

      All harness logic is in {@link PlanShapeGoldenTestBase}; this class only supplies the + * {@link WorkloadSpec}. The {@code @ParametersFactory} must be static, so it cannot read an + * instance field — hence the static {@link #SPEC}. + * + *

      All 43 ClickBench PPL queries are exercised. Each query's golden declares which combos it + * applies to — queries whose shard physical plan is absent (lucene fast-path) simply omit that layer. + */ +public class ClickBenchPlanShapeIT extends PlanShapeGoldenTestBase { + + private static final WorkloadSpec SPEC = new WorkloadSpec( + "clickbench", + ClickBenchTestHelper.DATASET, + "datasets/clickbench/ppl", + "planshape/clickbench", + IntStream.rangeClosed(1, 43).mapToObj(i -> "q" + i).toList() + ); + + @ParametersFactory(shuffle = false) + public static Iterable parameters() { + return buildQueryAndSettingCombinationsToRun(SPEC); + } + + public ClickBenchPlanShapeIT(@Name("case") GoldenCase testCase) { + super(testCase); + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlan.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlan.java new file mode 100644 index 0000000000000..03d8fe6ff5528 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlan.java @@ -0,0 +1,111 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import java.util.List; +import java.util.Locale; +import java.util.Map; +import java.util.Optional; + +/** + * The expected plans for ONE query, parsed from its {@code q{N}.plan.yaml} golden. Holds the query + * text and, per applicable {@link SettingsCombo combo}, the expected plan text for each + * {@link PlanShapeLayer layer}. + * + *

      A layer entry is either literal plan text or a {@code same_as: } reference (one hop, no + * recursion), resolved at load time. A layer is uniformly an {@link Optional}: present = expected + * text, empty = the layer is expected ABSENT under that combo (e.g. single-shard has no coordinator + * stage, or a Lucene fast-path stage produces no DataFusion physical plan). + */ +public final class ExpectedQueryPlan { + + /** + * The plan layers asserted per (query, combo), and their YAML keys under a combo's plans block. + * Physical layers are backend-agnostic: a stage answered by Lucene yields an empty physical + * layer (no DF plan). {@code chosen_backend} / {@code tree_shape} are stage properties carried + * in the {@link #FRAGMENT} layer's per-stage text. + */ + public enum PlanShapeLayer { + /** Whole post-CBO Calcite plan, before the DAG cut: {@code profile.full_plan}. */ + POST_CBO("post_cbo"), + /** Per-stage Calcite slice from the DAG cut + chosen_backend + tree_shape: {@code profile.stages[*]}. */ + FRAGMENT("fragment"), + /** Shard physical plan: {@code stages[SHARD_FRAGMENT].tasks[*].physical_plan}; empty for a Lucene stage. */ + SHARD_PHYSICAL("shard_physical"), + /** Coordinator physical plan: {@code stages[COORDINATOR_REDUCE].tasks[*].physical_plan}; empty if no coord stage. */ + COORD_PHYSICAL("coord_physical"); + + private final String yamlKey; + + PlanShapeLayer(String yamlKey) { + this.yamlKey = yamlKey; + } + + public String yamlKey() { + return yamlKey; + } + } + + private final String queryId; + private final String queryText; + private final List appliesCombos; + // comboName -> (layer yamlKey -> resolved plan text). A missing key means the layer is absent. + private final Map> plansByCombo; + + public ExpectedQueryPlan( + String queryId, + String queryText, + List appliesCombos, + Map> plansByCombo + ) { + this.queryId = queryId; + this.queryText = queryText; + this.appliesCombos = appliesCombos; + this.plansByCombo = plansByCombo; + } + + public String queryId() { + return queryId; + } + + /** The PPL/SQL query text (resolved from inline {@code ppl} or referenced {@code ppl_file}). */ + public String queryText() { + return queryText; + } + + /** Combo names this query is asserted under. */ + public List appliesCombos() { + return appliesCombos; + } + + /** + * Expected plan text for a (combo, layer), or {@link Optional#empty()} if the layer is expected + * absent under that combo. {@code same_as} references are already resolved at load time. + */ + public Optional expected(String comboName, PlanShapeLayer layer) { + return expectedTextForLayerKey(comboName, layer.yamlKey()); + } + + /** + * Expected plan text for a (combo, layer key), or {@link Optional#empty()} if absent. The layer + * key is the golden's YAML key for a {@link PlanShapeLayer} ({@code post_cbo} / {@code fragment} / + * {@code shard_physical} / {@code coord_physical}), or a shard segment-layout sub-key + * ({@code shard_physical_1seg} / {@code shard_physical_nseg}) that exists only when the single- + * and multi-segment shard plans diverge. + */ + public Optional expectedTextForLayerKey(String comboName, String layerKey) { + Map textByLayerKey = plansByCombo.get(comboName); + if (textByLayerKey == null) { + throw new IllegalArgumentException( + String.format(Locale.ROOT, "query '%s' has no plans for combo '%s'", queryId, comboName) + ); + } + return Optional.ofNullable(textByLayerKey.get(layerKey)); + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlanLoader.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlanLoader.java new file mode 100644 index 0000000000000..7d583253adcb8 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ExpectedQueryPlanLoader.java @@ -0,0 +1,196 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import org.opensearch.common.xcontent.yaml.YamlXContent; +import org.opensearch.core.xcontent.DeprecationHandler; +import org.opensearch.core.xcontent.NamedXContentRegistry; +import org.opensearch.core.xcontent.XContentParser; + +import java.io.BufferedReader; +import java.util.Locale; +import java.io.IOException; +import java.io.InputStream; +import java.io.InputStreamReader; +import java.nio.charset.StandardCharsets; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * Loads one query's {@code q{N}.plan.yaml} golden into an {@link ExpectedQueryPlan}. + * + *

      The golden declares the query EXACTLY ONE way: inline {@code ppl:} or a referenced + * {@code ppl_file:} (path relative to the workload's query dir). It lists the combos it + * {@code applies} to, and under {@code plans} gives, per combo, the expected text for each layer. + * A layer value is either literal plan text or a {@code {same_as: }} reference (one hop), + * resolved here. An omitted layer means the layer is expected absent. + */ +public final class ExpectedQueryPlanLoader { + + private ExpectedQueryPlanLoader() {} + + /** + * Load one query's {@code q{N}.plan.yaml} golden (at {@code goldenResourcePath} on the + * classpath) into an {@link ExpectedQueryPlan}: resolves the query text (inline {@code ppl} or a + * {@code ppl_file} under {@code queryDir}) and the per-combo, per-layer expected plan text, + * resolving any {@code same_as} references. + */ + @SuppressWarnings("unchecked") + public static ExpectedQueryPlan loadGolden(String goldenResourcePath, String queryDir) throws IOException { + Map root = parseYaml(goldenResourcePath); + + String queryId = requiredString(root, "query", goldenResourcePath); + String queryText = resolveQueryText(root, queryDir, goldenResourcePath); + + List applies = (List) root.get("applies"); + if (applies == null || applies.isEmpty()) { + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' has no 'applies' combos", goldenResourcePath) + ); + } + + Map plans = (Map) root.get("plans"); + if (plans == null) { + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' has no 'plans' block", goldenResourcePath) + ); + } + + // First pass: collect each combo's raw layer map (text or same_as ref) without resolving. + Map> rawByCombo = new LinkedHashMap<>(); + for (String combo : applies) { + Object comboPlans = plans.get(combo); + if (comboPlans == null) { + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' applies to combo '%s' but has no plans for it", goldenResourcePath, combo) + ); + } + rawByCombo.put(combo, (Map) comboPlans); + } + + // Second pass: resolve same_as (one hop) into concrete layer text. + Map> resolvedByCombo = new LinkedHashMap<>(); + for (String combo : applies) { + Map rawLayers = rawByCombo.get(combo); + Map textByLayerKey = new LinkedHashMap<>(); + for (Map.Entry layer : rawLayers.entrySet()) { + textByLayerKey.put(layer.getKey(), resolveLayerText(layer.getValue(), rawByCombo, combo, layer.getKey(), goldenResourcePath)); + } + resolvedByCombo.put(combo, textByLayerKey); + } + + return new ExpectedQueryPlan(queryId, queryText, applies, resolvedByCombo); + } + + /** + * The expected plan text for one layer of one combo. A layer value in the golden is either the + * literal plan text, or a {@code {same_as: }} map that reuses that other combo's text + * for the same layer verbatim (so identical plans aren't duplicated across combos). Resolves the + * latter — one hop only; the target must itself be literal text. + */ + @SuppressWarnings("unchecked") + private static String resolveLayerText( + Object rawLayerValue, + Map> rawByCombo, + String combo, + String layerKey, + String goldenResourcePath + ) { + if (rawLayerValue instanceof String literalText) { + return literalText; + } + if (rawLayerValue instanceof Map) { + Object sameAs = ((Map) rawLayerValue).get("same_as"); + if (sameAs instanceof String referencedCombo) { + Map referencedLayers = rawByCombo.get(referencedCombo); + if (referencedLayers == null) { + throw new IllegalStateException( + String.format(Locale.ROOT, + "golden '%s' combo '%s' layer '%s' references same_as '%s', which is not an applied combo", + goldenResourcePath, combo, layerKey, referencedCombo + ) + ); + } + Object referencedText = referencedLayers.get(layerKey); + if (!(referencedText instanceof String literalText)) { + throw new IllegalStateException( + String.format(Locale.ROOT, + "golden '%s' combo '%s' layer '%s' same_as '%s' must point at literal text (no chained same_as / missing layer)", + goldenResourcePath, combo, layerKey, referencedCombo + ) + ); + } + return literalText; + } + } + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' combo '%s' layer '%s' is neither text nor a same_as map", goldenResourcePath, combo, layerKey) + ); + } + + /** Resolve query text from inline {@code ppl:} XOR referenced {@code ppl_file:}. */ + private static String resolveQueryText(Map root, String queryDir, String goldenResourcePath) throws IOException { + Object inline = root.get("ppl"); + Object file = root.get("ppl_file"); + if ((inline == null) == (file == null)) { + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' must declare exactly one of 'ppl' or 'ppl_file'", goldenResourcePath) + ); + } + if (inline != null) { + return ((String) inline).strip(); + } + return loadResource(queryDir + "/" + file).strip(); + } + + /** Read a required top-level string field from the parsed golden, failing if absent or non-string. */ + private static String requiredString(Map root, String key, String goldenResourcePath) { + Object value = root.get(key); + if (!(value instanceof String s)) { + throw new IllegalStateException( + String.format(Locale.ROOT, "golden '%s' missing required string field '%s'", goldenResourcePath, key) + ); + } + return s; + } + + private static Map parseYaml(String resourcePath) throws IOException { + try (InputStream is = resourceStream(resourcePath, "golden")) { + try ( + XContentParser parser = YamlXContent.yamlXContent.createParser( + NamedXContentRegistry.EMPTY, + DeprecationHandler.IGNORE_DEPRECATIONS, + is + ) + ) { + return parser.map(); + } + } + } + + private static String loadResource(String resourcePath) throws IOException { + try ( + InputStream is = resourceStream(resourcePath, "query"); + BufferedReader reader = new BufferedReader(new InputStreamReader(is, StandardCharsets.UTF_8)) + ) { + return reader.lines().collect(Collectors.joining("\n")); + } + } + + /** Open a classpath resource (from this class's loader), failing with a {@code kind}-tagged message. */ + private static InputStream resourceStream(String resourcePath, String kind) { + InputStream is = ExpectedQueryPlanLoader.class.getClassLoader().getResourceAsStream(resourcePath); + if (is == null) { + throw new IllegalStateException(String.format(Locale.ROOT, "%s resource not found: %s", kind, resourcePath)); + } + return is; + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/PlanShapeGoldenTestBase.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/PlanShapeGoldenTestBase.java new file mode 100644 index 0000000000000..39231044d7634 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/PlanShapeGoldenTestBase.java @@ -0,0 +1,383 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import org.opensearch.analytics.qa.AnalyticsRestTestCase; +import org.opensearch.analytics.qa.Dataset; +import org.opensearch.analytics.qa.DatasetProvisioner; +import org.opensearch.analytics.qa.DatasetProvisioner.SegmentLayout; +import org.opensearch.analytics.qa.planshape.ExpectedQueryPlan.PlanShapeLayer; +import org.opensearch.client.Request; + +import java.io.IOException; +import java.io.UncheckedIOException; +import java.nio.file.Files; +import java.nio.file.Path; +import java.util.ArrayList; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Locale; +import java.util.Map; +import java.util.Optional; +import java.util.Set; +import java.util.concurrent.ConcurrentHashMap; + +/** + * Shared harness for plan-shape golden ITs. One JUnit case per (query, combo): each applies the + * combo's cluster settings, captures the {@code /_plugins/_ppl?profile=true} plan under both segment + * layouts ({@link SegmentLayout}), renders it into the {@link PlanShapeLayer}s, and asserts each + * against the query's golden. The non-shard layers are segment-independent (asserted once); the + * shard physical plan is asserted per segment layout. + * + *

      Per-workload subclasses supply a {@link WorkloadSpec} via a static {@code @ParametersFactory} + * that calls {@link #buildQueryAndSettingCombinationsToRun(WorkloadSpec)} (the factory must be + * static, so it cannot read an instance field). + */ +public abstract class PlanShapeGoldenTestBase extends AnalyticsRestTestCase { + + /** Classpath path of the global combos registry. */ + private static final String COMBOS_RESOURCE = "planshape/combos.yaml"; + + /** One (query, combo) pair — the unit a JUnit case asserts. {@code toString()} names the case. */ + public static final class GoldenCase { + final WorkloadSpec workload; + final String queryId; + final String comboName; + + GoldenCase(WorkloadSpec workload, String queryId, String comboName) { + this.workload = workload; + this.queryId = queryId; + this.comboName = comboName; + } + + @Override + public String toString() { + return workload.name() + "/" + queryId + "[" + comboName + "]"; + } + } + + /** + * The two segment layouts every combo is captured under — a controlled axis (see core-axioms): + * the shard physical plan can legitimately differ with segment count (e.g. the scan's + * {@code input_partitions}). The non-shard layers (post_cbo / fragment / coord) are NOT + * segment-derived and are captured once (from the single-segment index). + */ + private static final SegmentLayout[] SEGMENT_LAYOUTS = { SegmentLayout.SINGLE_SEGMENT, SegmentLayout.MULTI_SEGMENT }; + + /** One unit of YAML indentation; golden nesting is whole multiples of this. */ + private static final String INDENT = " "; + + /** YAML key for the deduped shard physical plan (single-segment == multi-segment). */ + private static final String SHARD_KEY = PlanShapeLayer.SHARD_PHYSICAL.yamlKey(); + /** YAML keys for the per-segment-layout shard physical plans (used only when they diverge). */ + private static String shardKey(SegmentLayout layout) { + return SHARD_KEY + "_" + layout.suffix; + } + + private final GoldenCase testCase; + + protected PlanShapeGoldenTestBase(GoldenCase testCase) { + this.testCase = testCase; + } + + /** + * Build the JUnit parameter rows — one per (query, setting-combo) — for a workload, the source for + * the subclass {@code @ParametersFactory}. Each query's golden declares which combos it applies + * to, intersected with the combos this run exercises ({@link #getSettingCombosToRun}). Static, so + * it can't read an instance field. + */ + protected static List buildQueryAndSettingCombinationsToRun(WorkloadSpec spec) { + try { + SettingsComboRegistry combos = SettingsComboRegistry.load(COMBOS_RESOURCE); + List runCombos = getSettingCombosToRun(combos); + // When generating, a golden may not exist yet — use every run-combo per query. + // When asserting, only the combos the golden declares it applies to (intersected). + boolean generating = System.getProperty("plan.generate") != null; + + List cases = new ArrayList<>(); + for (String queryId : spec.queryIds()) { + List queryCombos = generating + ? runCombos + : ExpectedQueryPlanLoader.loadGolden(spec.goldenResourcePath(queryId), spec.queryDir()) + .appliesCombos().stream().filter(runCombos::contains).toList(); + for (String comboName : queryCombos) { + cases.add(new Object[] { new GoldenCase(spec, queryId, comboName) }); + } + } + return cases; + } catch (IOException e) { + throw new RuntimeException("failed building plan-shape cases for workload " + spec.name(), e); + } + } + + /** The {@link SettingsCombo} names this run should exercise: {@code -Dplan.combos=a,b} or {@code all}, else the file defaults. */ + private static List getSettingCombosToRun(SettingsComboRegistry combos) { + String prop = System.getProperty("plan.combos"); + if (prop == null || prop.isBlank()) { + return combos.defaults(); + } + if (prop.trim().equals("all")) { + return combos.allNames(); + } + List requested = List.of(prop.trim().split("\\s*,\\s*")); + // Validate up front: an unknown name in assert mode would otherwise just filter to zero cases + // and silently run nothing. byName throws with the list of defined combos. + requested.forEach(combos::byName); + return requested; + } + + public void testPlanShape() throws Exception { + SettingsComboRegistry combos = SettingsComboRegistry.load(COMBOS_RESOURCE); + SettingsCombo combo = combos.byName(testCase.comboName); + boolean generating = System.getProperty("plan.generate") != null; + // Assertion mode needs the golden; generate mode does not (it's creating it) and reads the + // query text straight from the workload's query file. + ExpectedQueryPlan golden = generating + ? null + : ExpectedQueryPlanLoader.loadGolden(testCase.workload.goldenResourcePath(testCase.queryId), testCase.workload.queryDir()); + String queryText = generating + ? loadResource(testCase.workload.queryDir() + "/" + testCase.queryId + ".ppl").strip() + : golden.queryText(); + + applyClusterSettings(combo); + + // Capture under both segment layouts. The non-shard layers come from the single-segment + // index (they are not segment-derived); the shard physical plan is captured per layout. + Map captured = new LinkedHashMap<>(); + for (SegmentLayout layout : SEGMENT_LAYOUTS) { + provisionOnce(testCase.workload, combo.numberOfShards(), layout); + String indexName = indexNameFor(testCase.workload, combo.numberOfShards(), layout); + // Point the query at the per-layout index. Replaces every occurrence of the dataset + // name; relies on it being a distinctive token (the source name), not a substring that + // also appears elsewhere in the query. + String ppl = queryText.replace(testCase.workload.dataset().name, indexName); + Map response = executePplWithProfile(ppl); + captured.put(layout, ProfilePlanExtractor.extractFrom(response, indexName)); + } + + // -Dplan.generate=write|print : capture instead of assert. write -> the q{N}.plan.yaml in + // the source tree; print -> log the block. Absent -> assertion mode. + String generate = System.getProperty("plan.generate"); + if (generate != null) { + String comboYaml = renderComboYaml(captured); + if ("print".equals(generate)) { + logger.info("plan-shape generated for {}:\n{}", testCase, comboYaml); + } else { + writeGolden(comboYaml); + } + return; + } + + // Non-shard layers: assert once (from the single-segment capture — segment-independent). + ProfilePlanExtractor singleSegment = captured.get(SegmentLayout.SINGLE_SEGMENT); + for (PlanShapeLayer layer : PlanShapeLayer.values()) { + if (layer == PlanShapeLayer.SHARD_PHYSICAL) { + continue; + } + assertPlanShapeLayer(golden.expected(testCase.comboName, layer), singleSegment.layer(layer), layer.toString()); + } + assertShardPhysical(golden, captured); + } + + /** + * Assert the shard physical plan for both segment layouts. A golden stores either a single + * deduped {@code shard_physical} (when the two are identical) or both {@code shard_physical_1seg} + * / {@code shard_physical_nseg} (when they diverge). Resolve per layout: prefer the + * layout-specific key, else fall back to the deduped key. + */ + private void assertShardPhysical(ExpectedQueryPlan golden, Map captured) { + for (SegmentLayout layout : SEGMENT_LAYOUTS) { + Optional actual = captured.get(layout).layer(PlanShapeLayer.SHARD_PHYSICAL); + Optional expected = golden.expectedTextForLayerKey(testCase.comboName, shardKey(layout)); + if (expected.isEmpty()) { + expected = golden.expectedTextForLayerKey(testCase.comboName, SHARD_KEY); // deduped + } + assertPlanShapeLayer(expected, actual, PlanShapeLayer.SHARD_PHYSICAL + "[" + layout.suffix + "]"); + } + } + + /** + * Render this (query, combo)'s captured layers as the YAML body that sits under {@code plans:}. + * Non-shard layers come from the single-segment capture (segment-independent). The shard physical + * plan is deduped: if the single- and multi-segment plans are identical, emit one + * {@code shard_physical}; if they diverge, emit both {@code shard_physical_1seg} and + * {@code shard_physical_nseg}. + */ + private String renderComboYaml(Map captured) { + ProfilePlanExtractor singleSegment = captured.get(SegmentLayout.SINGLE_SEGMENT); + StringBuilder yaml = new StringBuilder(); + yaml.append(INDENT).append(testCase.comboName).append(":\n"); + for (PlanShapeLayer layer : PlanShapeLayer.values()) { + if (layer == PlanShapeLayer.SHARD_PHYSICAL) { + appendShardPhysical(yaml, captured); + continue; + } + singleSegment.layer(layer).ifPresent(text -> appendBlock(yaml, layer.yamlKey(), text)); + } + return yaml.toString(); + } + + /** Emit the shard physical plan(s): one deduped key if the layouts match, else both. */ + private void appendShardPhysical(StringBuilder yaml, Map captured) { + Optional oneSeg = captured.get(SegmentLayout.SINGLE_SEGMENT).layer(PlanShapeLayer.SHARD_PHYSICAL); + Optional multiSeg = captured.get(SegmentLayout.MULTI_SEGMENT).layer(PlanShapeLayer.SHARD_PHYSICAL); + if (oneSeg.isEmpty() && multiSeg.isEmpty()) { + return; // no shard physical (Lucene fast-path): omit, asserted absent for both + } + if (oneSeg.equals(multiSeg)) { + appendBlock(yaml, SHARD_KEY, oneSeg.get()); // identical across layouts -> dedup + return; + } + // Diverge: pin each layout under its own key. This also covers the asymmetric case where + // one layout has a shard plan and the other doesn't (Optional.empty) — the present side + // gets its key, the absent side is simply omitted (asserted absent for that layout). + oneSeg.ifPresent(text -> appendBlock(yaml, shardKey(SegmentLayout.SINGLE_SEGMENT), text)); + multiSeg.ifPresent(text -> appendBlock(yaml, shardKey(SegmentLayout.MULTI_SEGMENT), text)); + } + + private static void appendBlock(StringBuilder yaml, String yamlKey, String text) { + yaml.append(INDENT.repeat(2)).append(yamlKey).append(": |\n"); + for (String line : text.split("\n")) { + yaml.append(INDENT.repeat(3)).append(line).append('\n'); + } + } + + /** + * Write this (query, combo)'s YAML into the query's golden file in the source tree (path from + * {@code -Dplan.resourcesDir}). Since a golden holds all combos but each JUnit case is one + * combo, accumulate combos per query (single-fork sequential run) and rewrite the whole file + * each time, so the file always reflects every combo generated so far. + */ + private void writeGolden(String comboYaml) { + String resourcesDir = System.getProperty("plan.resourcesDir"); + if (resourcesDir == null) { + throw new IllegalStateException("plan.generate=write needs -Dplan.resourcesDir (set by build.gradle)"); + } + Map yamlByCombo = GENERATED_YAML_BY_QUERY.computeIfAbsent( + testCase.workload.name() + "/" + testCase.queryId, k -> new LinkedHashMap<>()); + yamlByCombo.put(testCase.comboName, comboYaml); + + Path out = Path.of(resourcesDir, testCase.workload.goldenResourcePath(testCase.queryId)); + String header = preserveExistingHeader(out); + + StringBuilder doc = new StringBuilder(); + doc.append(header); + doc.append("query: ").append(testCase.queryId).append('\n'); + doc.append("ppl_file: ").append(testCase.queryId).append(".ppl\n"); + doc.append("applies: [").append(String.join(", ", yamlByCombo.keySet())).append("]\n"); + doc.append("plans:\n"); + yamlByCombo.values().forEach(doc::append); + try { + Files.createDirectories(out.getParent()); + Files.writeString(out, doc.toString()); + logger.info("plan-shape wrote golden {} -> {}", testCase, out); + } catch (IOException e) { + throw new UncheckedIOException("failed writing golden " + out, e); + } + } + + /** "workload/queryId" -> (comboName -> that combo's rendered YAML), accumulated across a generate run. */ + private static final Map> GENERATED_YAML_BY_QUERY = new ConcurrentHashMap<>(); + + /** + * Read leading {@code #} comment lines from an existing golden file to preserve hand-authored + * annotations across regeneration. Returns empty string if no file or no comments exist. + */ + private static String preserveExistingHeader(Path goldenFile) { + if (Files.exists(goldenFile) == false) { + return ""; + } + try { + StringBuilder header = new StringBuilder(); + for (String line : Files.readAllLines(goldenFile)) { + if (line.startsWith("#")) { + header.append(line).append('\n'); + } else { + break; + } + } + return header.toString(); + } catch (IOException e) { + return ""; + } + } + + /** Assert one captured plan-shape layer against its expected text (present text, or empty = expected absent). */ + private void assertPlanShapeLayer(Optional expected, Optional actual, String layerLabel) { + String label = testCase + " " + layerLabel; + + if (expected.isEmpty()) { + assertTrue( + String.format(Locale.ROOT, "%s — expected layer ABSENT but plan was produced:\n%s", label, actual.orElse("")), + actual.isEmpty() + ); + return; + } + assertTrue( + String.format(Locale.ROOT, "%s — expected a plan but layer was ABSENT in the response", label), + actual.isPresent() + ); + // Compare trailing-whitespace-insensitively: a YAML block scalar (|) keeps one trailing + // newline the captured plan string doesn't have. Plan shape is what matters, not edge newlines. + assertEquals( + String.format(Locale.ROOT, "%s — plan shape mismatch.\n=== ACTUAL (paste into golden) ===\n%s\n=== END ===", label, actual.get()), + expected.get().stripTrailing(), + actual.get().stripTrailing() + ); + } + + private Map executePplWithProfile(String ppl) throws IOException { + Request request = new Request("POST", "/_plugins/_ppl"); + request.setJsonEntity("{\"query\": \"" + escapeJson(ppl) + "\", \"profile\": true}"); + return assertOkAndParse(client().performRequest(request), "PPL(profile): " + ppl); + } + + private void applyClusterSettings(SettingsCombo combo) throws IOException { + if (combo.clusterSettings().isEmpty()) { + return; + } + StringBuilder settingsJson = new StringBuilder("{\"transient\":{"); + boolean first = true; + for (Map.Entry setting : combo.clusterSettings().entrySet()) { + if (!first) { + settingsJson.append(','); + } + first = false; + settingsJson.append('"').append(setting.getKey()).append("\":").append(toJsonValue(setting.getValue())); + } + settingsJson.append("}}"); + Request request = new Request("PUT", "/_cluster/settings"); + request.setJsonEntity(settingsJson.toString()); + assertOkAndParse(client().performRequest(request), "PUT settings: " + settingsJson); + } + + private static String toJsonValue(Object v) { + return v instanceof String ? "\"" + v + "\"" : String.valueOf(v); + } + + /** + * One index per (shard count, segment layout) cell, so all variants coexist on one cluster, + * e.g. {@code parquet_hits_2s_1seg} / {@code parquet_hits_2s_nseg}. + */ + private static String indexNameFor(WorkloadSpec spec, int numberOfShards, SegmentLayout layout) { + return spec.dataset().indexName + "_" + numberOfShards + "s_" + layout.suffix; + } + + private void provisionOnce(WorkloadSpec spec, int numberOfShards, SegmentLayout layout) throws IOException { + String indexName = indexNameFor(spec, numberOfShards, layout); + if (!PROVISIONED_INDICES.add(indexName)) { + return; // already provisioned this JVM + } + Dataset index = new Dataset(spec.dataset().name, indexName); + DatasetProvisioner.provision(client(), index, numberOfShards, layout); + } + + /** Indices already provisioned this JVM — each (shard count, segment layout) index is provisioned once. */ + private static final Set PROVISIONED_INDICES = ConcurrentHashMap.newKeySet(); +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ProfilePlanExtractor.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ProfilePlanExtractor.java new file mode 100644 index 0000000000000..d916ee987d049 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/ProfilePlanExtractor.java @@ -0,0 +1,238 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import org.opensearch.analytics.qa.planshape.ExpectedQueryPlan.PlanShapeLayer; + +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.TreeSet; +import java.util.regex.Pattern; + +/** + * Turns the {@code profile} block of a {@code /_plugins/_ppl?profile=true} response into the same + * four {@link PlanShapeLayer} strings stored in a golden, so a captured plan can be diffed against + * its {@link ExpectedQueryPlan}. The render + scrub rules here MUST match exactly how goldens were + * authored. + * + *

        + *
      • {@link PlanShapeLayer#POST_CBO} = {@code profile.full_plan} lines joined by newline. + *
      • {@link PlanShapeLayer#FRAGMENT} = per stage, a header + * {@code [ chosen_backend= tree_shape=]} then that stage's fragment lines. + *
      • {@link PlanShapeLayer#SHARD_PHYSICAL} = the SHARD_FRAGMENT stage's task physical plans, + * scrubbed and deduped (all shard tasks are identical after scrubbing). Empty if none + * (Lucene fast-path / empty shard). + *
      • {@link PlanShapeLayer#COORD_PHYSICAL} = the COORDINATOR_REDUCE stage's task physical plan, + * scrubbed. Empty if there is no coordinator stage (single-shard / non-splitting query). + *
      + */ +public final class ProfilePlanExtractor { + + /** Single consistent token for every non-deterministic value we redact from a plan. */ + private static final String SCRUBBED = ""; + + /** Host/UUID/shard/generation-specific parquet path. */ + private static final Pattern FILE_GROUPS = Pattern.compile("file_groups=\\{[^}]*\\}"); + private static final String FILE_GROUPS_SCRUBBED = "file_groups={" + SCRUBBED + "}"; + + // TopK SortExec's `, filter=[ > N]` is a runtime value, not plan shape — its presence flips + // with segment count, so we delete the whole clause (anchored on preserve_partitioning=[...] so + // only SortExec is touched; DataSourceExec uses predicate=, not this). + private static final Pattern TOPK_DYNAMIC_FILTER = + Pattern.compile("(preserve_partitioning=\\[[^\\]]*\\]), filter=\\[[^\\]]*\\]"); + private static final String TOPK_DYNAMIC_FILTER_KEPT = "$1"; + + // input_partitions is deliberately NOT scrubbed: it equals the shard's segment count, which is a + // controlled axis (captured per segment layout), so it's deterministic and worth asserting. + + // DataSourceExec DynamicFilter predicate: the TopK optimization pushes a boundary filter down into + // DataSourceExec as `predicate=DynamicFilter [ ]`. The boundary is a runtime value + // that depends on data seen so far by the TopK heap — in multi-shard configs, each shard sees + // different data and arrives at a different boundary, so both the DynamicFilter body AND its + // derived pruning_predicate diverge across shards. We scrub: + // (a) Pure DynamicFilter predicate: when the entire predicate= is a DynamicFilter (no static + // WHERE clause), the pruning_predicate is entirely derived from it — scrub both. + // (b) Mixed predicate: when DynamicFilter is appended to static predicates (e.g. + // "predicate=X AND DynamicFilter [ empty ]"), only the DynamicFilter body is scrubbed; + // the static predicates and their pruning_predicate remain for assertion. + private static final Pattern PURE_DYNAMIC_FILTER_PREDICATE = Pattern.compile( + "predicate=DynamicFilter \\[[^\\]]*], pruning_predicate=[^,]*, "); + private static final String PURE_DYNAMIC_FILTER_SCRUBBED = + "predicate=DynamicFilter [ " + SCRUBBED + " ], pruning_predicate=" + SCRUBBED + ", "; + + private static final Pattern MIXED_DYNAMIC_FILTER_BODY = Pattern.compile( + "DynamicFilter \\[[^\\]]*]"); + private static final String MIXED_DYNAMIC_FILTER_BODY_SCRUBBED = + "DynamicFilter [ " + SCRUBBED + " ]"; + + // Constant-folded aggregates: when an aggregate (e.g. min/max) can be resolved at plan-time from + // parquet metadata, DataFusion folds the entire subtree to a ProjectionExec of literal constants + // fed by PlaceholderRowExec. The literal values are data-dependent (each shard holds different + // data), so they diverge across shards in multi-shard configs. We scrub bare numeric literals in + // such projections. Safety: if the optimizer stops constant-folding (regression), PlaceholderRowExec + // vanishes and the rule no longer fires — the structural change is still caught. + private static final Pattern CONSTANT_FOLDED_PROJECTION = Pattern.compile( + "(ProjectionExec: expr=\\[)([^\\]]+)(\\]\\s*\\n\\s*PlaceholderRowExec)" + ); + /** Bare numeric literal as the expression side of "expr as alias" within a ProjectionExec. */ + private static final Pattern BARE_NUMERIC_LITERAL = Pattern.compile("(?<=^|, )-?\\d+(?= as )"); + + /** The concrete index name is scrubbed too, so goldens are index-name agnostic. */ + private static final String INDEX_TOKEN = SCRUBBED; + + private static final String SHARD_FRAGMENT = "SHARD_FRAGMENT"; + private static final String COORDINATOR_REDUCE = "COORDINATOR_REDUCE"; + + private final Map> layers; + + private ProfilePlanExtractor(Map> layers) { + this.layers = layers; + } + + /** The captured plan text for a layer, or empty if that layer was absent in the response. */ + public Optional layer(PlanShapeLayer layer) { + return layers.get(layer); + } + + /** + * Render the four layers from a profile response. {@code indexName} is the concrete index the + * query ran against; every occurrence is scrubbed to {@link #INDEX_TOKEN} so a golden is + * agnostic to which per-shard-count index was provisioned. + */ + @SuppressWarnings("unchecked") + public static ProfilePlanExtractor extractFrom(Map response, String indexName) { + Map profile = (Map) response.get("profile"); + if (profile == null) { + throw new AssertionError("response has no 'profile' block — request must set profile=true"); + } + // The opensearch-sql plugin's QueryProfile {summary, phases, plan} embeds the analytics-engine + // plan profile (full_plan + stages) under the `plan` field, so they live at profile.plan. + Map planProfile = (Map) profile.get("plan"); + if (planProfile == null) { + throw new AssertionError("profile has no 'plan' block; profile keys=" + profile.keySet()); + } + List> stages = (List>) planProfile.get("stages"); + if (stages == null) { + throw new AssertionError("profile.plan has no stages; plan keys=" + planProfile.keySet()); + } + + Map> layers = new LinkedHashMap<>(); + layers.put(PlanShapeLayer.POST_CBO, Optional.of(joinLines((List) planProfile.get("full_plan")))); + layers.put(PlanShapeLayer.FRAGMENT, Optional.of(renderFragment(stages))); + layers.put(PlanShapeLayer.SHARD_PHYSICAL, physicalPlanOf(stages, SHARD_FRAGMENT)); + layers.put(PlanShapeLayer.COORD_PHYSICAL, physicalPlanOf(stages, COORDINATOR_REDUCE)); + + layers.replaceAll((layer, text) -> text.map(t -> t.replace(indexName, INDEX_TOKEN))); + return new ProfilePlanExtractor(layers); + } + + // TODO(plan-shape): FRAGMENT renders the PRE-FORK marked fragment. Once the profile exposes + // post-fork `alternatives` (see QueryProfileBuilder TODO), assert on those instead. + @SuppressWarnings("unchecked") + private static String renderFragment(List> stages) { + StringBuilder rendered = new StringBuilder(); + for (Map stage : stages) { + // tree_shape is the delegation shape (CONJUNCTIVE / INTERLEAVED_BOOLEAN_EXPRESSION / + // ...) and MUST be asserted. "Absent" serializes inconsistently across builds (JSON + // null vs the string "None"); canonicalize both to NONE so the value is always present + // and node-agnostic. + Object treeShape = stage.get("tree_shape"); + String treeShapeStr = (treeShape == null || "None".equals(treeShape)) ? "NONE" : treeShape.toString(); + rendered.append('[') + .append(stage.get("execution_type")) + .append(" chosen_backend=") + .append(stage.get("chosen_backend")) + .append(" tree_shape=") + .append(treeShapeStr) + .append(']') + .append('\n'); + List fragment = (List) stage.get("fragment"); + if (fragment != null) { + for (String line : fragment) { + rendered.append(line).append('\n'); + } + } + } + return stripTrailingNewline(rendered.toString()); + } + + /** + * The scrubbed, deduped physical plan for the stage of the given execution type, or empty if + * the stage is absent or carries no task physical plan (Lucene / empty shard). All tasks of a + * stage are expected to be identical after scrubbing; a divergence is a real finding and fails. + */ + @SuppressWarnings("unchecked") + private static Optional physicalPlanOf(List> stages, String executionType) { + for (Map stage : stages) { + if (!executionType.equals(stage.get("execution_type"))) { + continue; + } + List> tasks = (List>) stage.get("tasks"); + if (tasks == null) { + return Optional.empty(); + } + TreeSet distinctPlans = new TreeSet<>(); + for (Map task : tasks) { + Object physicalPlan = task.get("physical_plan"); + if (physicalPlan instanceof String text && !text.isEmpty()) { + distinctPlans.add(scrub(text)); + } + } + if (distinctPlans.isEmpty()) { + return Optional.empty(); + } + if (distinctPlans.size() > 1) { + throw new AssertionError( + "tasks of stage " + executionType + " produced differing physical plans after scrub:\n" + + String.join("\n--- vs ---\n", distinctPlans) + ); + } + return Optional.of(distinctPlans.first()); + } + return Optional.empty(); + } + + private static String scrub(String physicalPlan) { + String scrubbed = FILE_GROUPS.matcher(physicalPlan).replaceAll(FILE_GROUPS_SCRUBBED); + scrubbed = TOPK_DYNAMIC_FILTER.matcher(scrubbed).replaceAll(TOPK_DYNAMIC_FILTER_KEPT); + // DynamicFilter scrub: pure first (scrubs both predicate + pruning_predicate), then mixed + // (scrubs only the DynamicFilter body, leaving static predicates intact). + scrubbed = PURE_DYNAMIC_FILTER_PREDICATE.matcher(scrubbed).replaceAll(PURE_DYNAMIC_FILTER_SCRUBBED); + scrubbed = MIXED_DYNAMIC_FILTER_BODY.matcher(scrubbed).replaceAll(MIXED_DYNAMIC_FILTER_BODY_SCRUBBED); + scrubbed = scrubConstantFoldedProjections(scrubbed); + return scrubbed; + } + + /** + * Scrub data-dependent numeric literals in constant-folded projections (ProjectionExec above + * PlaceholderRowExec). Replaces bare numeric values with {@code } so per-shard variation + * in folded aggregates (min/max/count on different data slices) doesn't break cross-shard dedup. + */ + private static String scrubConstantFoldedProjections(String plan) { + java.util.regex.Matcher m = CONSTANT_FOLDED_PROJECTION.matcher(plan); + StringBuilder sb = new StringBuilder(); + while (m.find()) { + String exprs = m.group(2); + String scrubbedExprs = BARE_NUMERIC_LITERAL.matcher(exprs).replaceAll(SCRUBBED); + m.appendReplacement(sb, java.util.regex.Matcher.quoteReplacement(m.group(1) + scrubbedExprs + m.group(3))); + } + m.appendTail(sb); + return sb.toString(); + } + + private static String joinLines(List lines) { + return lines == null ? "" : String.join("\n", lines); + } + + private static String stripTrailingNewline(String s) { + return s.endsWith("\n") ? s.substring(0, s.length() - 1) : s; + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsCombo.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsCombo.java new file mode 100644 index 0000000000000..e47f8064ea970 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsCombo.java @@ -0,0 +1,86 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import java.util.Collections; +import java.util.Map; + +/** + * One named combination of plan-shape-affecting settings, loaded from the global + * {@code planshape/combos.yaml}. Goldens reference a combo only by {@link #name()}. + * + *

      A combo IS its settings — there is no knob-token indirection. {@link #clusterSettings()} are + * applied via {@code PUT /_cluster/settings}. + * + *

      {@code number_of_shards} is a REQUIRED index setting — the universal root knob (it decides + * whether the plan splits into a coordinator stage), so every combo must declare it under + * {@code index:}. TODAY it is the ONLY index setting the harness applies: it is read via the typed + * {@link #numberOfShards()} and injected at the index {@code PUT}. Any OTHER key in + * {@link #indexSettings()} is currently parsed but NOT applied — wiring the full map through + * provisioning is future work for when a second index-scoped knob is added. + * + *

      Example {@code combos.yaml}: + * 

      + * combos:
+ *   prod:
+ *     index:
+ *       number_of_shards: 2
+ *     cluster:
+ *       analytics.shard_bucket_oversampling_factor: 2.0
+ *       search.concurrent.max_slice_count: 4
+ *       datafusion.reduce.target_partitions: 4
+ *   prod1s:
+ *     index:
+ *       number_of_shards: 1
+ *     cluster: { ... }
+ * defaults: [prod, prod1s]
+ *
      + */ +public final class SettingsCombo { + + /** The required index setting every combo must declare — the universal root knob. */ + public static final String NUMBER_OF_SHARDS = "number_of_shards"; + + private final String name; + private final Map clusterSettings; + private final Map indexSettings; + + public SettingsCombo(String name, Map clusterSettings, Map indexSettings) { + this.name = name; + this.clusterSettings = Collections.unmodifiableMap(clusterSettings); + this.indexSettings = Collections.unmodifiableMap(indexSettings); + } + + public String name() { + return name; + } + + /** Required shard count for this combo — the universal root knob (split vs no-split). */ + public int numberOfShards() { + return ((Number) indexSettings.get(NUMBER_OF_SHARDS)).intValue(); + } + + /** Cluster-scope settings applied via {@code PUT /_cluster/settings} for this combo. */ + public Map clusterSettings() { + return clusterSettings; + } + + /** + * Index-scope settings as declared under {@code index:}. NOTE: only {@code number_of_shards} is + * applied today (via {@link #numberOfShards()}); other keys are not yet wired into provisioning. + */ + public Map indexSettings() { + return indexSettings; + } + + @Override + public String toString() { + return name; + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsComboRegistry.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsComboRegistry.java new file mode 100644 index 0000000000000..2ed46f85267fe --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/SettingsComboRegistry.java @@ -0,0 +1,115 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import org.opensearch.common.xcontent.yaml.YamlXContent; +import org.opensearch.core.xcontent.DeprecationHandler; +import org.opensearch.core.xcontent.NamedXContentRegistry; +import org.opensearch.core.xcontent.XContentParser; + +import java.io.IOException; +import java.util.Locale; +import java.io.InputStream; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; + +/** + * Loads and provides the named {@link SettingsCombo}s from the global {@code planshape/combos.yaml} + * — the single source of truth mapping each combo name to its plan-shape-affecting settings. + * Goldens reference combos only by name. + */ +public final class SettingsComboRegistry { + + /** Insertion-ordered (file order) so {@link #allNames()} reflects the combos.yaml order. */ + private final LinkedHashMap byName; + private final List defaults; + + private SettingsComboRegistry(LinkedHashMap byName, List defaults) { + this.byName = byName; + this.defaults = defaults; + } + + /** Look up a combo by name, failing loudly if a golden references an undefined combo. */ + public SettingsCombo byName(String name) { + SettingsCombo combo = byName.get(name); + if (combo == null) { + throw new IllegalArgumentException( + String.format(Locale.ROOT, "Unknown combo '%s' — defined combos: %s", name, byName.keySet()) + ); + } + return combo; + } + + /** Combo names CI runs by default (the file's {@code defaults} list). */ + public List defaults() { + return defaults; + } + + /** Every defined combo name, in file order. */ + public List allNames() { + return List.copyOf(byName.keySet()); + } + + /** Load and parse a {@code combos.yaml} classpath resource into named {@link SettingsCombo}s. */ + @SuppressWarnings("unchecked") + public static SettingsComboRegistry load(String resourcePath) throws IOException { + try (InputStream is = SettingsComboRegistry.class.getClassLoader().getResourceAsStream(resourcePath)) { + if (is == null) { + throw new IllegalStateException( + String.format(Locale.ROOT, "combos resource not found: %s", resourcePath) + ); + } + Map root = parseYaml(is); + + Map combos = (Map) root.get("combos"); + if (combos == null || combos.isEmpty()) { + throw new IllegalStateException( + String.format(Locale.ROOT, "combos.yaml has no 'combos' block: %s", resourcePath) + ); + } + + LinkedHashMap byName = new LinkedHashMap<>(); + for (Map.Entry entry : combos.entrySet()) { + String comboName = entry.getKey(); + Map comboBody = (Map) entry.getValue(); + + Map cluster = (Map) comboBody.getOrDefault("cluster", Map.of()); + Map index = (Map) comboBody.getOrDefault("index", Map.of()); + if (!index.containsKey(SettingsCombo.NUMBER_OF_SHARDS)) { + throw new IllegalStateException( + String.format(Locale.ROOT, "combo '%s' must declare index.%s", comboName, SettingsCombo.NUMBER_OF_SHARDS) + ); + } + + byName.put(comboName, new SettingsCombo(comboName, cluster, index)); + } + + List defaults = (List) root.get("defaults"); + if (defaults == null || defaults.isEmpty()) { + throw new IllegalStateException( + String.format(Locale.ROOT, "combos.yaml has no 'defaults' list: %s", resourcePath) + ); + } + return new SettingsComboRegistry(byName, defaults); + } + } + + private static Map parseYaml(InputStream is) throws IOException { + try ( + XContentParser parser = YamlXContent.yamlXContent.createParser( + NamedXContentRegistry.EMPTY, + DeprecationHandler.IGNORE_DEPRECATIONS, + is + ) + ) { + return parser.map(); + } + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/WorkloadSpec.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/WorkloadSpec.java new file mode 100644 index 0000000000000..30f2ad01dd698 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/planshape/WorkloadSpec.java @@ -0,0 +1,66 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa.planshape; + +import org.opensearch.analytics.qa.Dataset; + +import java.util.List; + +/** + * Describes one plan-shape workload: its dataset (mapping + bulk, via {@link Dataset}), where its + * query files and golden files live, and which queries are exercised. + * + *

      Onboarding a new workload (http_logs, big5, ...) is just constructing one of these plus its + * {@code q{N}.plan.yaml} goldens — no harness changes. + */ +public final class WorkloadSpec { + + private final String name; + private final Dataset dataset; + private final String queryDir; + private final String goldenDir; + private final List queryIds; + + public WorkloadSpec(String name, Dataset dataset, String queryDir, String goldenDir, List queryIds) { + this.name = name; + this.dataset = dataset; + this.queryDir = queryDir; + this.goldenDir = goldenDir; + this.queryIds = queryIds; + } + + public String name() { + return name; + } + + /** Dataset descriptor used to provision the index (mapping + bulk). */ + public Dataset dataset() { + return dataset; + } + + /** Classpath dir holding query files referenced by a golden's {@code ppl_file}. */ + public String queryDir() { + return queryDir; + } + + /** Classpath dir holding the per-query {@code q{N}.plan.yaml} goldens. */ + public String goldenDir() { + return goldenDir; + } + + /** The query ids exercised by this workload (the allowlist). */ + public List queryIds() { + return queryIds; + } + + /** Classpath path of a query's golden file. */ + public String goldenResourcePath(String queryId) { + return goldenDir + "/" + queryId + ".plan.yaml"; + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q1.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q1.plan.yaml new file mode 100644 index 0000000000000..a50665788992a --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q1.plan.yaml @@ -0,0 +1,37 @@ +# Lucene-only shard path: no filter/expression means lucene metadata doc-count suffices. +# No shard_physical emitted (lucene handles natively); only the exchange/reduce stage is datafusion-only. +query: q1 +ppl_file: q1.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=lucene tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count()] + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.count())] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[count()] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=lucene tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml new file mode 100644 index 0000000000000..6170ced6eb4fd --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml @@ -0,0 +1,76 @@ +# Most complex aggregate combo: 5 partials (sum + count + sum-for-avg + count-for-avg + HLL). +# TopK on count column with fetch=30, AVG + dc coexist in grouped FinalPartitioned aggregate. +query: q10 +ppl_file: q10.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[$3], dc(UserID)=[$4], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($3):DOUBLE), $4))], dc(UserID)=[$5], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[SUM($2)], $f3=[SUM($3)], $f4=[SUM($4)], dc(UserID)=[APPROX_COUNT_DISTINCT($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[COUNT()], agg#2=[SUM($2)], agg#3=[COUNT($2)], dc(UserID)=[APPROX_COUNT_DISTINCT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], AdvEngineID=[$0], ResolutionWidth=[$69], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[COUNT()], agg#2=[SUM($2)], agg#3=[COUNT($2)], dc(UserID)=[APPROX_COUNT_DISTINCT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], AdvEngineID=[$0], ResolutionWidth=[$69], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[$3], dc(UserID)=[$4], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($3):DOUBLE), $4))], dc(UserID)=[$5], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[SUM($2)], $f3=[SUM($3)], $f4=[SUM($4)], dc(UserID)=[APPROX_COUNT_DISTINCT($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[RegionID@0 as RegionID, sum(.AdvEngineID)[sum]@1 as sum(AdvEngineID), count(Int64(1))[count]@2 as c, sum(.ResolutionWidth)[sum]@3 as $f3, count(.ResolutionWidth)[count]@4 as $f4, approx_distinct(.UserID)[hll_registers]@5 as dc(UserID)] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[$3], dc(UserID)=[$4], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($3):DOUBLE), $4))], dc(UserID)=[$5], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[COUNT()], agg#2=[SUM($2)], agg#3=[COUNT($2)], dc(UserID)=[APPROX_COUNT_DISTINCT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], AdvEngineID=[$0], ResolutionWidth=[$69], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[$3], dc(UserID)=[$4], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], sum(AdvEngineID)=[$1], c=[$2], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($3):DOUBLE), $4))], dc(UserID)=[$5], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[COUNT()], agg#2=[SUM($2)], agg#3=[COUNT($2)], dc(UserID)=[APPROX_COUNT_DISTINCT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], AdvEngineID=[$0], ResolutionWidth=[$69], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "sum(AdvEngineID)", data_type: Int64, nullable: true }, Field { name: "c", data_type: Int64 }, Field { name: "avg(ResolutionWidth)", data_type: Float64, nullable: true }, Field { name: "dc(UserID)", data_type: Int64, nullable: true }, Field { name: "RegionID", data_type: Int32, nullable: true }], metadata: {} } + ProjectionExec: expr=[sum(.AdvEngineID)@0 as sum(AdvEngineID), count(Int64(1))@1 as c, CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), approx_distinct(.UserID)@3 as dc(UserID), RegionID@4 as RegionID] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, RegionID@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@1 DESC NULLS LAST, RegionID@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(.AdvEngineID)@1 as sum(.AdvEngineID), count(Int64(1))@2 as count(Int64(1)), CASE WHEN count(.ResolutionWidth)@4 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@3 AS Float64) / CAST(count(.ResolutionWidth)@4 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, approx_distinct(.UserID)@5 as approx_distinct(.UserID), RegionID@0 as RegionID] + AggregateExec: mode=FinalPartitioned, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "sum(AdvEngineID)", data_type: Int64, nullable: true }, Field { name: "c", data_type: Int64 }, Field { name: "avg(ResolutionWidth)", data_type: Float64, nullable: true }, Field { name: "dc(UserID)", data_type: Int64, nullable: true }, Field { name: "RegionID", data_type: Int32, nullable: true }], metadata: {} } + ProjectionExec: expr=[sum(.AdvEngineID)@0 as sum(AdvEngineID), count(Int64(1))@1 as c, CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), approx_distinct(.UserID)@3 as dc(UserID), RegionID@4 as RegionID] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, RegionID@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@1 DESC NULLS LAST, RegionID@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(.AdvEngineID)@1 as sum(.AdvEngineID), count(Int64(1))@2 as count(Int64(1)), CASE WHEN count(.ResolutionWidth)@4 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@3 AS Float64) / CAST(count(.ResolutionWidth)@4 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, approx_distinct(.UserID)@5 as approx_distinct(.UserID), RegionID@0 as RegionID] + AggregateExec: mode=FinalPartitioned, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml new file mode 100644 index 0000000000000..541366637d238 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml @@ -0,0 +1,96 @@ +# Grouped dc(UserID) by MobilePhoneModel with != '' filter and TopK. +# != blocked from lucene (production blocklist); parquet DataSourceExec with predicate pushdown. +query: q11 +ppl_file: q11.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], MobilePhoneModel=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchProject(MobilePhoneModel=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(MobilePhoneModel=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], MobilePhoneModel=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], MobilePhoneModel=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], MobilePhoneModel=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "MobilePhoneModel", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, MobilePhoneModel@1 as MobilePhoneModel] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), MobilePhoneModel@0 as MobilePhoneModel] + AggregateExec: mode=FinalPartitioned, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhoneModel@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "MobilePhoneModel", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, MobilePhoneModel@1 as MobilePhoneModel] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), MobilePhoneModel@0 as MobilePhoneModel] + AggregateExec: mode=FinalPartitioned, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhoneModel@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml new file mode 100644 index 0000000000000..936e2ca60afa4 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml @@ -0,0 +1,96 @@ +# Multi-key grouped dc: (MobilePhone, MobilePhoneModel) with != '' and multi-column sort. +# HLL sketch merge with composite sort; parquet DataSourceExec. +query: q12 +ppl_file: q12.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$2], MobilePhone=[$0], MobilePhoneModel=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchProject(MobilePhone=[$0], MobilePhoneModel=[$1], u=[$2], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$3], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$0], MobilePhoneModel=[$1], u=[$2], __reduce_eval_2=[reduce_eval('approx_distinct', $2)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$44], MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(MobilePhone=[$0], MobilePhoneModel=[$1], u=[$2], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$3], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$0], MobilePhoneModel=[$1], u=[$2], __reduce_eval_2=[reduce_eval('approx_distinct', $2)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$44], MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$2], MobilePhone=[$0], MobilePhoneModel=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)@2 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@2 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@2) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)@2 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@2 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@2) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$2], MobilePhone=[$0], MobilePhoneModel=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$44], MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$2], MobilePhone=[$0], MobilePhoneModel=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], u=[APPROX_COUNT_DISTINCT($2)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(MobilePhone=[$44], MobilePhoneModel=[$45], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($45, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "MobilePhone", data_type: Int16, nullable: true }, Field { name: "MobilePhoneModel", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, MobilePhone@1 as MobilePhone, MobilePhoneModel@2 as MobilePhoneModel] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST, MobilePhone@1 ASC, MobilePhoneModel@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST, MobilePhone@1 ASC, MobilePhoneModel@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@2 as approx_distinct(.UserID), MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel] + AggregateExec: mode=FinalPartitioned, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhone@0, MobilePhoneModel@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "MobilePhone", data_type: Int16, nullable: true }, Field { name: "MobilePhoneModel", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, MobilePhone@1 as MobilePhone, MobilePhoneModel@2 as MobilePhoneModel] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST, MobilePhone@1 ASC, MobilePhoneModel@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST, MobilePhone@1 ASC, MobilePhoneModel@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@2 as approx_distinct(.UserID), MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel] + AggregateExec: mode=FinalPartitioned, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhone@0, MobilePhoneModel@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml new file mode 100644 index 0000000000000..d6c5e1f3183fd --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml @@ -0,0 +1,98 @@ +# Grouped count by SearchPhrase (keyword) with != '' filter and TopK (3x fetch). +# != blocked from lucene (production blocklist); parquet DataSourceExec with predicate pushdown. +query: q13 +ppl_file: q13.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@1 as sum(input-0.c), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[SearchPhrase, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml new file mode 100644 index 0000000000000..7c51d6d91369e --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml @@ -0,0 +1,96 @@ +# Grouped dc(UserID) by SearchPhrase with != '' filter and TopK. +# HLL + reduce_eval with text-field grouping; parquet DataSourceExec. +query: q14 +ppl_file: q14.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchProject(SearchPhrase=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(SearchPhrase=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "SearchPhrase", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "SearchPhrase", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml new file mode 100644 index 0000000000000..a98419f77dc43 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml @@ -0,0 +1,98 @@ +# Multi-key grouped count by (SearchEngineID, SearchPhrase) with != '' filter. +# Composite sort key (count DESC, SearchEngineID, SearchPhrase) in TopK; parquet DataSourceExec. +query: q15 +ppl_file: q15.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], SearchEngineID=[$0], SearchPhrase=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], SearchEngineID=[$0], SearchPhrase=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as c] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as c] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchEngineID@1 as SearchEngineID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@2 as sum(input-0.c), SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[SearchEngineID, SearchPhrase, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], SearchEngineID=[$0], SearchPhrase=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], SearchEngineID=[$0], SearchPhrase=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchEngineID@1 as SearchEngineID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchEngineID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchEngineID@1 as SearchEngineID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchEngineID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml new file mode 100644 index 0000000000000..821b0852f7ebf --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml @@ -0,0 +1,80 @@ +# Baseline TopK pattern: single group key, single aggregate, 3x fetch multiplier (30 for head 10). +# Double-sort at coordinator (inner fetch=10, outer fetch=10000 safety ceiling). +query: q16 +ppl_file: q16.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], UserID=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], UserID=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[UserID@0 as UserID, count(Int64(1))[count]@1 as count()] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID] + SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.count())@1 as sum(input-0.count()), UserID@0 as UserID] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=Hash([UserID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[UserID, count()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], UserID=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], UserID=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), UserID@0 as UserID] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), UserID@0 as UserID] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml new file mode 100644 index 0000000000000..da84469453510 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml @@ -0,0 +1,80 @@ +# Multi-key grouped TopK: composite (UserID, SearchPhrase) hash-repartition at coordinator. +# Same structure as q16 — planner treats N-key group-by identically to 1-key. +query: q17 +ppl_file: q17.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.count())@2 as sum(input-0.count()), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[UserID, SearchPhrase, count()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml new file mode 100644 index 0000000000000..2ed82535c2792 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml @@ -0,0 +1,80 @@ +# Sort-by-key TopK: sorts on group keys (UserID, SearchPhrase ASC), not on count() DESC like q17. +# TopK fires (shard fetch=30); DynamicFilter scrubbed (runtime TopK boundary in DataSourceExec). +query: q18 +ppl_file: q18.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] + SortPreservingMergeExec: [UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ], pruning_predicate=, required_guarantees=[] + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.count())@2 as sum(input-0.count()), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[UserID, SearchPhrase, count()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], sort1=[$2], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$2], UserID=[$0], SearchPhrase=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(UserID=[$97], SearchPhrase=[$74], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ], pruning_predicate=, required_guarantees=[] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[UserID@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), UserID@0 as UserID, SearchPhrase@1 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ], pruning_predicate=, required_guarantees=[] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml new file mode 100644 index 0000000000000..10bdd10241338 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml @@ -0,0 +1,80 @@ +# EXTRACT expression pushed into DataSourceExec projection (computed at parquet scan level). +# Project node annotated datafusion-only (lucene cannot evaluate temporal extraction). +query: q19 +ppl_file: q19.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$3], UserID=[$0], m=[$1], SearchPhrase=[$2], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$3], sort1=[$0], sort2=[$1], sort3=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], m=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], EXTRACT('minute':VARCHAR, $16))], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$3], sort1=[$0], sort2=[$1], sort3=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], m=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], EXTRACT('minute':VARCHAR, $16))], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$3], UserID=[$0], m=[$1], SearchPhrase=[$2], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as m, SearchPhrase@2 as SearchPhrase, count(Int64(1))[count]@3 as count()] + SortPreservingMergeExec: [count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, m@2 as m, SearchPhrase@3 as SearchPhrase] + SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, m@2 ASC, SearchPhrase@3 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, m@2 ASC, SearchPhrase@3 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.count())@3 as sum(input-0.count()), UserID@0 as UserID, m@1 as m, SearchPhrase@2 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, m@1 as m, SearchPhrase@2 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=Hash([UserID@0, m@1, SearchPhrase@2], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, m@1 as m, SearchPhrase@2 as SearchPhrase], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[UserID, m, SearchPhrase, count()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$3], UserID=[$0], m=[$1], SearchPhrase=[$2], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], m=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], EXTRACT('minute':VARCHAR, $16))], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$3], UserID=[$0], m=[$1], SearchPhrase=[$2], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], m=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], EXTRACT('minute':VARCHAR, $16))], SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@2 as m, SearchPhrase@3 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, opensearch_extract(Utf8("minute"),.EventTime)@2 ASC, SearchPhrase@3 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, opensearch_extract(Utf8("minute"),.EventTime)@2 ASC, SearchPhrase@3 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@3 as count(Int64(1)), UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, opensearch_extract(Utf8("minute"),.EventTime)@1, SearchPhrase@2], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), UserID@1 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@2 as m, SearchPhrase@3 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, opensearch_extract(Utf8("minute"),.EventTime)@2 ASC, SearchPhrase@3 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, UserID@1 ASC, opensearch_extract(Utf8("minute"),.EventTime)@2 ASC, SearchPhrase@3 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@3 as count(Int64(1)), UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, opensearch_extract(Utf8("minute"),.EventTime)@1, SearchPhrase@2], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q2.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q2.plan.yaml new file mode 100644 index 0000000000000..ecfcc9a73d2ff --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q2.plan.yaml @@ -0,0 +1,65 @@ +# != filter on numeric AdvEngineID: blocked from lucene delegation (production blocklist). +# Triple parquet pushdown: predicate, pruning_predicate (min/max stats), required_guarantees. +query: q2 +ppl_file: q2.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: AdvEngineID@0 != 0, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + shard_physical_nseg: | + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: AdvEngineID@0 != 0, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count()] + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.count())] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[count()] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Final, gby=[], aggr=[count(1) as count()] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: AdvEngineID@0 != 0, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + shard_physical_nseg: | + AggregateExec: mode=Final, gby=[], aggr=[count(1) as count()] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: AdvEngineID@0 != 0, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q20.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q20.plan.yaml new file mode 100644 index 0000000000000..d583a6449106e --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q20.plan.yaml @@ -0,0 +1,62 @@ +# Point lookup: numeric UserID equality pushed into parquet DataSourceExec. +# predicate + pruning_predicate + required_guarantees=[UserID in (...)]; no aggregation. +query: q20 +ppl_file: q20.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CAST(435090932899640449:BIGINT):BIGINT)], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($97, 435090932899640449))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CAST(435090932899640449:BIGINT):BIGINT)], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($97, 435090932899640449))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[435090932899640449 as UserID] + CoalescePartitionsExec: fetch=10000 + FilterExec: UserID@0 = 435090932899640449, fetch=10000 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 = 435090932899640449, pruning_predicate=UserID_null_count@2 != row_count@3 AND UserID_min@0 <= 435090932899640449 AND 435090932899640449 <= UserID_max@1, required_guarantees=[UserID in (435090932899640449)] + shard_physical_nseg: | + ProjectionExec: expr=[435090932899640449 as UserID] + CoalescePartitionsExec: fetch=10000 + FilterExec: UserID@0 = 435090932899640449, fetch=10000 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 = 435090932899640449, pruning_predicate=UserID_null_count@2 != row_count@3 AND UserID_min@0 <= 435090932899640449 AND 435090932899640449 <= UserID_max@1, required_guarantees=[UserID in (435090932899640449)] + coord_physical: | + StreamingTableExec: partition_sizes=1, projection=[UserID], fetch=10000 + prod1s: + post_cbo: | + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CAST(435090932899640449:BIGINT):BIGINT)], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($97, 435090932899640449))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CAST(435090932899640449:BIGINT):BIGINT)], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($97, 435090932899640449))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[435090932899640449 as UserID] + CoalescePartitionsExec: fetch=10000 + FilterExec: UserID@0 = 435090932899640449, fetch=10000 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 = 435090932899640449, pruning_predicate=UserID_null_count@2 != row_count@3 AND UserID_min@0 <= 435090932899640449 AND 435090932899640449 <= UserID_max@1, required_guarantees=[UserID in (435090932899640449)] + shard_physical_nseg: | + ProjectionExec: expr=[435090932899640449 as UserID] + CoalescePartitionsExec: fetch=10000 + FilterExec: UserID@0 = 435090932899640449, fetch=10000 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 = 435090932899640449, pruning_predicate=UserID_null_count@2 != row_count@3 AND UserID_min@0 <= 435090932899640449 AND 435090932899640449 <= UserID_max@1, required_guarantees=[UserID in (435090932899640449)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q21.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q21.plan.yaml new file mode 100644 index 0000000000000..71b121f31a88b --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q21.plan.yaml @@ -0,0 +1,65 @@ +# LIKE wildcard on URL: blocked from lucene (production blocklist includes LIKE). +# Parquet DataSourceExec with ILIKE predicate pushdown; scalar count aggregation. +query: q21 +ppl_file: q21.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(count()=[CAST($0):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], count()=[SUM($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: URL@0 ILIKE %google%, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet, predicate=URL@27 ILIKE %google% + shard_physical_nseg: | + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: URL@0 ILIKE %google%, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet, predicate=URL@27 ILIKE %google% + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count()] + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.count())] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[count()] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Final, gby=[], aggr=[count(1) as count()] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: URL@0 ILIKE %google%, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet, predicate=URL@27 ILIKE %google% + shard_physical_nseg: | + AggregateExec: mode=Final, gby=[], aggr=[count(1) as count()] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[count(1) as count()] + FilterExec: URL@0 ILIKE %google%, projection=[] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet, predicate=URL@27 ILIKE %google% diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml new file mode 100644 index 0000000000000..fb073fdd2f80a --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml @@ -0,0 +1,98 @@ +# Multi-filter: LIKE(URL) + SearchPhrase != '' — both blocked from lucene. +# Parquet DataSourceExec with compound predicate pushdown; grouped count TopK. +query: q22 +ppl_file: q22.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@1 as sum(input-0.c), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[SearchPhrase, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml new file mode 100644 index 0000000000000..365b4fd20fcc8 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml @@ -0,0 +1,48 @@ +# Triple filter (LIKE, NOT LIKE, !=) — all blocked from lucene. +# Compound predicate on parquet DataSourceExec with grouped count+dc(HLL) and TopK. +query: q23 +ppl_file: q23.ppl +applies: [prod2s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], dc(UserID)=[$2], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], dc(UserID)=[APPROX_COUNT_DISTINCT($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], dc(UserID)=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($83, '%Google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')), NOT(ANNOTATED_PREDICATE(id=2, backends=[datafusion], ILIKE($85, '%.google.%', '\'))))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], dc(UserID)=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($83, '%Google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')), NOT(ANNOTATED_PREDICATE(id=2, backends=[datafusion], ILIKE($85, '%.google.%', '\'))))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], dc(UserID)=[$2], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], dc(UserID)=[APPROX_COUNT_DISTINCT($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c, approx_distinct(.UserID)[hll_registers]@2 as dc(UserID)] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c, approx_distinct(.UserID)[hll_registers]@2 as dc(UserID)] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q24.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q24.plan.yaml new file mode 100644 index 0000000000000..ada394f956b80 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q24.plan.yaml @@ -0,0 +1,65 @@ +# Sort without aggregation: LIKE filter (blocked) + sort EventTime + head 10. +# LATE_MATERIALIZATION stage for sort-key-only fetch; parquet DataSourceExec. +query: q24 +ppl_file: q24.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchLateMaterialization(aboveAnchorPhysicalFields=[[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash]], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($1, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($1, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + [LATE_MATERIALIZATION chosen_backend=datafusion tree_shape=NONE] + OpenSearchLateMaterialization(aboveAnchorPhysicalFields=[[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash]], viableBackends=[[datafusion]]) + OpenSearchStageInputScan(childStageId=[1], viableBackends=[[datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchStageInputScan(childStageId=[2], viableBackends=[[datafusion]]) + shard_physical_1seg: | + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[false] + CooperativeExec + QueryShardExec: partitions=1, segments=1, ordering=unsorted + shard_physical_nseg: | + SortPreservingMergeExec: [EventTime@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[true] + QueryShardExec: partitions=2, segments=2, ordering=unsorted + coord_physical: | + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[false] + StreamingTableExec: partition_sizes=1, projection=[EventTime, URL, __row_id__, ___ugsi] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($85, '%google%', '\'))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + SortPreservingMergeExec: [EventTime@16 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC], preserve_partitioning=[true] + FilterExec: URL@85 ILIKE %google% + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=URL@27 ILIKE %google% AND DynamicFilter [ ] + shard_physical_nseg: | + SortPreservingMergeExec: [EventTime@16 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC], preserve_partitioning=[true] + FilterExec: URL@85 ILIKE %google% + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=URL@27 ILIKE %google% AND DynamicFilter [ ] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q25.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q25.plan.yaml new file mode 100644 index 0000000000000..340c7f1f38bbf --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q25.plan.yaml @@ -0,0 +1,66 @@ +# Sort-only with != filter (blocked): sort EventTime + project SearchPhrase + head 10. +# Pure sort pushdown with projection pruning on parquet DataSourceExec. +query: q25 +ppl_file: q25.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + SortPreservingMergeExec: [EventTime@16 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@74 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + SortPreservingMergeExec: [EventTime@16 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@74 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[false] + StreamingTableExec: partition_sizes=1, projection=[EventTime, SearchPhrase] + prod1s: + post_cbo: | + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [EventTime@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[EventTime, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [EventTime@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[EventTime, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q26.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q26.plan.yaml new file mode 100644 index 0000000000000..7ed0d7c0ef79e --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q26.plan.yaml @@ -0,0 +1,67 @@ +# Sort on keyword column: SearchPhrase sorted alphabetically after != filter (blocked). +# Tests sort pushdown on string field via parquet DataSourceExec. +query: q26 +ppl_file: q26.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + SortPreservingMergeExec: [SearchPhrase@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[SearchPhrase@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + SortPreservingMergeExec: [SearchPhrase@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[SearchPhrase@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + SortExec: TopK(fetch=10), expr=[SearchPhrase@0 ASC], preserve_partitioning=[false] + StreamingTableExec: partition_sizes=1, projection=[SearchPhrase] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + SortPreservingMergeExec: [SearchPhrase@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[SearchPhrase@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + SortPreservingMergeExec: [SearchPhrase@0 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[SearchPhrase@0 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q27.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q27.plan.yaml new file mode 100644 index 0000000000000..10956252494a2 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q27.plan.yaml @@ -0,0 +1,66 @@ +# Multi-column sort (EventTime, SearchPhrase) with != filter (blocked from lucene). +# Composite sort key pushdown without aggregation on parquet DataSourceExec. +query: q27 +ppl_file: q27.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + SortPreservingMergeExec: [EventTime@16 ASC, SearchPhrase@74 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC, SearchPhrase@74 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@74 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + SortPreservingMergeExec: [EventTime@16 ASC, SearchPhrase@74 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@16 ASC, SearchPhrase@74 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@74 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, Age, BrowserCountry, BrowserLanguage, CLID, ClientEventTime, ClientIP, ClientTimeZone, CodeVersion, ConnectTiming, CookieEnable, CounterClass, CounterID, DNSTiming, DontCountHits, EventDate, EventTime, FUniqID, FetchTiming, FlashMajor, FlashMinor, FlashMinor2, FromTag, GoodEvent, HID, HTTPError, HasGCLID, HistoryLength, HitColor, IPNetworkID, Income, Interests, IsArtifical, IsDownload, IsEvent, IsLink, IsMobile, IsNotBounce, IsOldCounter, IsParameter, IsRefresh, JavaEnable, JavascriptEnable, LocalEventTime, MobilePhone, MobilePhoneModel, NetMajor, NetMinor, OS, OpenerName, OpenstatAdID, OpenstatCampaignID, OpenstatServiceName, OpenstatSourceID, OriginalURL, PageCharset, ParamCurrency, ParamCurrencyID, ParamOrderID, ParamPrice, Params, Referer, RefererCategoryID, RefererHash, RefererRegionID, RegionID, RemoteIP, ResolutionDepth, ResolutionHeight, ResolutionWidth, ResponseEndTiming, ResponseStartTiming, Robotness, SearchEngineID, SearchPhrase, SendTiming, Sex, SilverlightVersion1, SilverlightVersion2, SilverlightVersion3, SilverlightVersion4, SocialSourceNetworkID, SocialSourcePage, Title, TraficSourceID, URL, URLCategoryID, URLHash, URLRegionID, UTMCampaign, UTMContent, UTMMedium, UTMSource, UTMTerm, UserAgent, UserAgentMajor, UserAgentMinor, UserID, WatchID, WindowClientHeight, WindowClientWidth, WindowName, WithHash], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[false] + StreamingTableExec: partition_sizes=1, projection=[EventTime, SearchPhrase] + prod1s: + post_cbo: | + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$16], sort1=[$74], dir0=[ASC-nulls-first], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [EventTime@0 ASC, SearchPhrase@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[EventTime, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchPhrase@1 as SearchPhrase] + SortPreservingMergeExec: [EventTime@0 ASC, SearchPhrase@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[EventTime@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[EventTime, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != AND DynamicFilter [ ], pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml new file mode 100644 index 0000000000000..3bb10ef913a8e --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml @@ -0,0 +1,113 @@ +# HAVING clause: grouped aggregate + post-agg filter (c > 5) + avg(length(URL)). +# != filter blocked; two-phase: aggregate, then filter on result, then TopK sort. +query: q28 +ppl_file: q28.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], CounterID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=7, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$0], l=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], $f1=[SUM($1)], $f2=[SUM($2)], c=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[75], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($1)], agg#1=[COUNT($1)], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$12], $f2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CHAR_LENGTH($85))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($85, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[75], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($1)], agg#1=[COUNT($1)], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$12], $f2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CHAR_LENGTH($85))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($85, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], CounterID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=7, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$0], l=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], $f1=[SUM($1)], $f2=[SUM($2)], c=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[CounterID@0 as CounterID, sum(character_length(.URL))[sum]@1 as $f1, count(character_length(.URL))[count]@2 as $f2, count(Int64(1))[count]@3 as c] + SortPreservingMergeExec: [sum(character_length(.URL))@1 DESC NULLS LAST], fetch=75 + SortExec: TopK(fetch=75), expr=[sum(character_length(.URL))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[CounterID@0 as CounterID, sum(character_length(.URL))[sum]@1 as $f1, count(character_length(.URL))[count]@2 as $f2, count(Int64(1))[count]@3 as c] + SortPreservingMergeExec: [sum(character_length(.URL))@1 DESC NULLS LAST], fetch=75 + SortExec: TopK(fetch=75), expr=[sum(character_length(.URL))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] + coord_physical: | + ProjectionExec: expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 as l, sum(input-0.c)@1 as c, CounterID@2 as CounterID] + SortPreservingMergeExec: [CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: sum(input-0.c)@1 > 5 + ProjectionExec: expr=[CASE WHEN sum(input-0.$f2)@2 = 0 THEN NULL ELSE CAST(sum(input-0.$f1)@1 AS Float64) / CAST(sum(input-0.$f2)@2 AS Float64) END as CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END, sum(input-0.c)@3 as sum(input-0.c), CounterID@0 as CounterID] + AggregateExec: mode=FinalPartitioned, gby=[CounterID@0 as CounterID], aggr=[sum(input-0.$f1), sum(input-0.$f2), sum(input-0.c)] + RepartitionExec: partitioning=Hash([CounterID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(input-0.$f1), sum(input-0.$f2), sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[CounterID, $f1, $f2, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], CounterID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=7, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$0], l=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($1)], agg#1=[COUNT($1)], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$12], $f2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CHAR_LENGTH($85))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($85, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], CounterID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=7, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$0], l=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($1)], agg#1=[COUNT($1)], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(CounterID=[$12], $f2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], CHAR_LENGTH($85))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($85, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 as l, count(Int64(1))@1 as c, CounterID@2 as CounterID] + SortPreservingMergeExec: [CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: count(Int64(1))@1 > 5 + ProjectionExec: expr=[CASE WHEN count(character_length(.URL))@2 = 0 THEN NULL ELSE CAST(sum(character_length(.URL))@1 AS Float64) / CAST(count(character_length(.URL))@2 AS Float64) END as CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END, count(Int64(1))@3 as count(Int64(1)), CounterID@0 as CounterID] + AggregateExec: mode=FinalPartitioned, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + RepartitionExec: partitioning=Hash([CounterID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 as l, count(Int64(1))@1 as c, CounterID@2 as CounterID] + SortPreservingMergeExec: [CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: count(Int64(1))@1 > 5 + ProjectionExec: expr=[CASE WHEN count(character_length(.URL))@2 = 0 THEN NULL ELSE CAST(sum(character_length(.URL))@1 AS Float64) / CAST(count(character_length(.URL))@2 AS Float64) END as CASE WHEN count(character_length(.URL)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.URL)) / count(character_length(.URL)) END, count(Int64(1))@3 as count(Int64(1)), CounterID@0 as CounterID] + AggregateExec: mode=FinalPartitioned, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + RepartitionExec: partitioning=Hash([CounterID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml new file mode 100644 index 0000000000000..090a6fb1dbd12 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml @@ -0,0 +1,113 @@ +# regexp_replace eval + grouped avg/count/min + HAVING + TopK. +# Most complex eval+agg+filter+sort pipeline; != blocked, parquet DataSourceExec. +query: q29 +ppl_file: q29.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], min(Referer)=[$3], k=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=9, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(k=[$0], l=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], min(Referer)=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], $f1=[SUM($1)], $f2=[SUM($2)], c=[SUM($3)], min(Referer)=[MIN($4)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[75], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($2)], agg#1=[COUNT($2)], c=[COUNT()], min(Referer)=[MIN($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(k=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], REGEXP_REPLACE($61, '^https?://(?:www\.)?([^/]+)/.*$':VARCHAR, '$1'))], Referer=[$61], $f3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CHAR_LENGTH($61))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($61, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[DESC-nulls-last], fetch=[75], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($2)], agg#1=[COUNT($2)], c=[COUNT()], min(Referer)=[MIN($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(k=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], REGEXP_REPLACE($61, '^https?://(?:www\.)?([^/]+)/.*$':VARCHAR, '$1'))], Referer=[$61], $f3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CHAR_LENGTH($61))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($61, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], min(Referer)=[$3], k=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=9, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(k=[$0], l=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], min(Referer)=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], $f1=[SUM($1)], $f2=[SUM($2)], c=[SUM($3)], min(Referer)=[MIN($4)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as k, sum(character_length(.Referer))[sum]@1 as $f1, count(character_length(.Referer))[count]@2 as $f2, count(Int64(1))[count]@3 as c, min(.Referer)[value]@4 as min(Referer)] + SortPreservingMergeExec: [sum(character_length(.Referer))@1 DESC NULLS LAST], fetch=75 + SortExec: TopK(fetch=75), expr=[sum(character_length(.Referer))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as k, sum(character_length(.Referer))[sum]@1 as $f1, count(character_length(.Referer))[count]@2 as $f2, count(Int64(1))[count]@3 as c, min(.Referer)[value]@4 as min(Referer)] + SortPreservingMergeExec: [sum(character_length(.Referer))@1 DESC NULLS LAST], fetch=75 + SortExec: TopK(fetch=75), expr=[sum(character_length(.Referer))@1 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] + coord_physical: | + ProjectionExec: expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 as l, sum(input-0.c)@1 as c, min(input-0.min(Referer))@2 as min(Referer), k@3 as k] + SortPreservingMergeExec: [CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: sum(input-0.c)@1 > 5 + ProjectionExec: expr=[CASE WHEN sum(input-0.$f2)@2 = 0 THEN NULL ELSE CAST(sum(input-0.$f1)@1 AS Float64) / CAST(sum(input-0.$f2)@2 AS Float64) END as CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END, sum(input-0.c)@3 as sum(input-0.c), min(input-0.min(Referer))@4 as min(input-0.min(Referer)), k@0 as k] + AggregateExec: mode=FinalPartitioned, gby=[k@0 as k], aggr=[sum(input-0.$f1), sum(input-0.$f2), sum(input-0.c), min(input-0.min(Referer))] + RepartitionExec: partitioning=Hash([k@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[k@0 as k], aggr=[sum(input-0.$f1), sum(input-0.$f2), sum(input-0.c), min(input-0.min(Referer))] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[k, $f1, $f2, c, min(Referer)] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], min(Referer)=[$3], k=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=9, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(k=[$0], l=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], min(Referer)=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($2)], agg#1=[COUNT($2)], c=[COUNT()], min(Referer)=[MIN($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(k=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], REGEXP_REPLACE($61, '^https?://(?:www\.)?([^/]+)/.*$':VARCHAR, '$1'))], Referer=[$61], $f3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CHAR_LENGTH($61))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($61, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[25], viableBackends=[[datafusion]]) + OpenSearchProject(l=[$1], c=[$2], min(Referer)=[$3], k=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=9, backends=[datafusion], >($2, 5))], viableBackends=[[datafusion]]) + OpenSearchProject(k=[$0], l=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CAST($1):DOUBLE), $2))], c=[$3], min(Referer)=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], agg#0=[SUM($2)], agg#1=[COUNT($2)], c=[COUNT()], min(Referer)=[MIN($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(k=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], REGEXP_REPLACE($61, '^https?://(?:www\.)?([^/]+)/.*$':VARCHAR, '$1'))], Referer=[$61], $f3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CHAR_LENGTH($61))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($61, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 as l, count(Int64(1))@1 as c, min(.Referer)@2 as min(Referer), regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@3 as k] + SortPreservingMergeExec: [CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: count(Int64(1))@1 > 5 + ProjectionExec: expr=[CASE WHEN count(character_length(.Referer))@2 = 0 THEN NULL ELSE CAST(sum(character_length(.Referer))@1 AS Float64) / CAST(count(character_length(.Referer))@2 AS Float64) END as CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END, count(Int64(1))@3 as count(Int64(1)), min(.Referer)@4 as min(.Referer), regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))] + AggregateExec: mode=FinalPartitioned, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + RepartitionExec: partitioning=Hash([regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 as l, count(Int64(1))@1 as c, min(.Referer)@2 as min(Referer), regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@3 as k] + SortPreservingMergeExec: [CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 DESC NULLS LAST], fetch=25 + SortExec: TopK(fetch=25), expr=[CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END@0 DESC NULLS LAST], preserve_partitioning=[true] + FilterExec: count(Int64(1))@1 > 5 + ProjectionExec: expr=[CASE WHEN count(character_length(.Referer))@2 = 0 THEN NULL ELSE CAST(sum(character_length(.Referer))@1 AS Float64) / CAST(count(character_length(.Referer))@2 AS Float64) END as CASE WHEN count(character_length(.Referer)) = Int64(0) THEN Float64(NULL) ELSE sum(character_length(.Referer)) / count(character_length(.Referer)) END, count(Int64(1))@3 as count(Int64(1)), min(.Referer)@4 as min(.Referer), regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))] + AggregateExec: mode=FinalPartitioned, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + RepartitionExec: partitioning=Hash([regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q3.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q3.plan.yaml new file mode 100644 index 0000000000000..26a098d1dd63a --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q3.plan.yaml @@ -0,0 +1,58 @@ +# AVG decomposed to SUM+COUNT at PARTIAL, recombined with CASE WHEN null-guard at coordinator. +# 4 partial aggregates shipped for 3 user-visible aggregates (avg expansion). +query: q3 +ppl_file: q3.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[$1], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($2):DOUBLE), $3))], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[CAST($1):BIGINT NOT NULL], $f2=[$2], $f3=[CAST($3):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[SUM($1)], $f2=[SUM($2)], $f3=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[COUNT()], agg#2=[SUM($1)], agg#3=[COUNT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[COUNT()], agg#2=[SUM($1)], agg#3=[COUNT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[$1], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($2):DOUBLE), $3))], viableBackends=[[datafusion]]) + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[CAST($1):BIGINT NOT NULL], $f2=[$2], $f3=[CAST($3):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[SUM($1)], $f2=[SUM($2)], $f3=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + AggregateExec: mode=Partial, gby=[], aggr=[sum(.AdvEngineID) as sum(AdvEngineID), count(1) as count(), sum(.ResolutionWidth) as $f2, count(.ResolutionWidth) as $f3] + DataSourceExec: file_groups={}, projection=[AdvEngineID, ResolutionWidth], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.sum(AdvEngineID))@0 as sum(AdvEngineID), sum(input-0.count())@1 as count(), CASE WHEN sum(input-0.$f3)@3 = 0 THEN NULL ELSE CAST(sum(input-0.$f2)@2 AS Float64) / CAST(sum(input-0.$f3)@3 AS Float64) END as avg(ResolutionWidth)] + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.sum(AdvEngineID)), sum(input-0.count()), sum(input-0.$f2), sum(input-0.$f3)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.sum(AdvEngineID)), sum(input-0.count()), sum(input-0.$f2), sum(input-0.$f3)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[sum(AdvEngineID), count(), $f2, $f3] + prod1s: + post_cbo: | + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[$1], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($2):DOUBLE), $3))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[COUNT()], agg#2=[SUM($1)], agg#3=[COUNT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(sum(AdvEngineID)=[$0], count()=[$1], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($2):DOUBLE), $3))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], sum(AdvEngineID)=[SUM($0)], count()=[COUNT()], agg#2=[SUM($1)], agg#3=[COUNT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[sum(.AdvEngineID)@0 as sum(AdvEngineID), count(Int64(1))@1 as count(), CASE WHEN count(.ResolutionWidth)@3 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@2 AS Float64) / CAST(count(.ResolutionWidth)@3 AS Float64) END as avg(ResolutionWidth)] + AggregateExec: mode=Single, gby=[], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[AdvEngineID, ResolutionWidth], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[sum(.AdvEngineID)@0 as sum(AdvEngineID), count(Int64(1))@1 as count(), CASE WHEN count(.ResolutionWidth)@3 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@2 AS Float64) / CAST(count(.ResolutionWidth)@3 AS Float64) END as avg(ResolutionWidth)] + AggregateExec: mode=Final, gby=[], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[AdvEngineID, ResolutionWidth], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q30.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q30.plan.yaml new file mode 100644 index 0000000000000..5b06541a7822f --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q30.plan.yaml @@ -0,0 +1,49 @@ +# 10 parallel scalar SUMs with arithmetic expressions pushed into DataSourceExec. +# No sort, no group-by, no filter — pure wide aggregation stress-test. +query: q30 +ppl_file: q30.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(ResolutionWidth=[$69], $f10=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], +($69, 1))], $f11=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], +($69, 2))], $f12=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], +($69, 3))], $f13=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], +($69, 4))], $f14=[ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], +($69, 5))], $f15=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], +($69, 6))], $f16=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], +($69, 7))], $f17=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], +($69, 8))], $f18=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], +($69, 9))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(ResolutionWidth=[$69], $f10=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], +($69, 1))], $f11=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], +($69, 2))], $f12=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], +($69, 3))], $f13=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], +($69, 4))], $f14=[ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], +($69, 5))], $f15=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], +($69, 6))], $f16=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], +($69, 7))], $f17=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], +($69, 8))], $f18=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], +($69, 9))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + AggregateExec: mode=Partial, gby=[], aggr=[sum(.ResolutionWidth) as sum(ResolutionWidth), sum(.ResolutionWidth + Int32(1)) as sum(ResolutionWidth+1), sum(.ResolutionWidth + Int32(2)) as sum(ResolutionWidth+2), sum(.ResolutionWidth + Int32(3)) as sum(ResolutionWidth+3), sum(.ResolutionWidth + Int32(4)) as sum(ResolutionWidth+4), sum(.ResolutionWidth + Int32(5)) as sum(ResolutionWidth+5), sum(.ResolutionWidth + Int32(6)) as sum(ResolutionWidth+6), sum(.ResolutionWidth + Int32(7)) as sum(ResolutionWidth+7), sum(.ResolutionWidth + Int32(8)) as sum(ResolutionWidth+8), sum(.ResolutionWidth + Int32(9)) as sum(ResolutionWidth+9)] + DataSourceExec: file_groups={}, projection=[ResolutionWidth, CAST(ResolutionWidth@86 AS Int32) + 1 as .ResolutionWidth + Int32(1), CAST(ResolutionWidth@86 AS Int32) + 2 as .ResolutionWidth + Int32(2), CAST(ResolutionWidth@86 AS Int32) + 3 as .ResolutionWidth + Int32(3), CAST(ResolutionWidth@86 AS Int32) + 4 as .ResolutionWidth + Int32(4), CAST(ResolutionWidth@86 AS Int32) + 5 as .ResolutionWidth + Int32(5), CAST(ResolutionWidth@86 AS Int32) + 6 as .ResolutionWidth + Int32(6), CAST(ResolutionWidth@86 AS Int32) + 7 as .ResolutionWidth + Int32(7), CAST(ResolutionWidth@86 AS Int32) + 8 as .ResolutionWidth + Int32(8), CAST(ResolutionWidth@86 AS Int32) + 9 as .ResolutionWidth + Int32(9)], file_type=parquet + coord_physical: | + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.sum(ResolutionWidth)) as sum(ResolutionWidth), sum(input-0.sum(ResolutionWidth+1)) as sum(ResolutionWidth+1), sum(input-0.sum(ResolutionWidth+2)) as sum(ResolutionWidth+2), sum(input-0.sum(ResolutionWidth+3)) as sum(ResolutionWidth+3), sum(input-0.sum(ResolutionWidth+4)) as sum(ResolutionWidth+4), sum(input-0.sum(ResolutionWidth+5)) as sum(ResolutionWidth+5), sum(input-0.sum(ResolutionWidth+6)) as sum(ResolutionWidth+6), sum(input-0.sum(ResolutionWidth+7)) as sum(ResolutionWidth+7), sum(input-0.sum(ResolutionWidth+8)) as sum(ResolutionWidth+8), sum(input-0.sum(ResolutionWidth+9)) as sum(ResolutionWidth+9)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.sum(ResolutionWidth)) as sum(ResolutionWidth), sum(input-0.sum(ResolutionWidth+1)) as sum(ResolutionWidth+1), sum(input-0.sum(ResolutionWidth+2)) as sum(ResolutionWidth+2), sum(input-0.sum(ResolutionWidth+3)) as sum(ResolutionWidth+3), sum(input-0.sum(ResolutionWidth+4)) as sum(ResolutionWidth+4), sum(input-0.sum(ResolutionWidth+5)) as sum(ResolutionWidth+5), sum(input-0.sum(ResolutionWidth+6)) as sum(ResolutionWidth+6), sum(input-0.sum(ResolutionWidth+7)) as sum(ResolutionWidth+7), sum(input-0.sum(ResolutionWidth+8)) as sum(ResolutionWidth+8), sum(input-0.sum(ResolutionWidth+9)) as sum(ResolutionWidth+9)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[sum(ResolutionWidth), sum(ResolutionWidth+1), sum(ResolutionWidth+2), sum(ResolutionWidth+3), sum(ResolutionWidth+4), sum(ResolutionWidth+5), sum(ResolutionWidth+6), sum(ResolutionWidth+7), sum(ResolutionWidth+8), sum(ResolutionWidth+9)] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(ResolutionWidth=[$69], $f10=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], +($69, 1))], $f11=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], +($69, 2))], $f12=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], +($69, 3))], $f13=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], +($69, 4))], $f14=[ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], +($69, 5))], $f15=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], +($69, 6))], $f16=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], +($69, 7))], $f17=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], +($69, 8))], $f18=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], +($69, 9))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], sum(ResolutionWidth)=[SUM($0)], sum(ResolutionWidth+1)=[SUM($1)], sum(ResolutionWidth+2)=[SUM($2)], sum(ResolutionWidth+3)=[SUM($3)], sum(ResolutionWidth+4)=[SUM($4)], sum(ResolutionWidth+5)=[SUM($5)], sum(ResolutionWidth+6)=[SUM($6)], sum(ResolutionWidth+7)=[SUM($7)], sum(ResolutionWidth+8)=[SUM($8)], sum(ResolutionWidth+9)=[SUM($9)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(ResolutionWidth=[$69], $f10=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], +($69, 1))], $f11=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], +($69, 2))], $f12=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], +($69, 3))], $f13=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], +($69, 4))], $f14=[ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], +($69, 5))], $f15=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], +($69, 6))], $f16=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], +($69, 7))], $f17=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], +($69, 8))], $f18=[ANNOTATED_PROJECT_EXPR(id=8, backends=[datafusion], +($69, 9))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Single, gby=[], aggr=[sum(.ResolutionWidth) as sum(ResolutionWidth), sum(.ResolutionWidth + Int32(1)) as sum(ResolutionWidth+1), sum(.ResolutionWidth + Int32(2)) as sum(ResolutionWidth+2), sum(.ResolutionWidth + Int32(3)) as sum(ResolutionWidth+3), sum(.ResolutionWidth + Int32(4)) as sum(ResolutionWidth+4), sum(.ResolutionWidth + Int32(5)) as sum(ResolutionWidth+5), sum(.ResolutionWidth + Int32(6)) as sum(ResolutionWidth+6), sum(.ResolutionWidth + Int32(7)) as sum(ResolutionWidth+7), sum(.ResolutionWidth + Int32(8)) as sum(ResolutionWidth+8), sum(.ResolutionWidth + Int32(9)) as sum(ResolutionWidth+9)] + DataSourceExec: file_groups={}, projection=[ResolutionWidth, CAST(ResolutionWidth@86 AS Int32) + 1 as .ResolutionWidth + Int32(1), CAST(ResolutionWidth@86 AS Int32) + 2 as .ResolutionWidth + Int32(2), CAST(ResolutionWidth@86 AS Int32) + 3 as .ResolutionWidth + Int32(3), CAST(ResolutionWidth@86 AS Int32) + 4 as .ResolutionWidth + Int32(4), CAST(ResolutionWidth@86 AS Int32) + 5 as .ResolutionWidth + Int32(5), CAST(ResolutionWidth@86 AS Int32) + 6 as .ResolutionWidth + Int32(6), CAST(ResolutionWidth@86 AS Int32) + 7 as .ResolutionWidth + Int32(7), CAST(ResolutionWidth@86 AS Int32) + 8 as .ResolutionWidth + Int32(8), CAST(ResolutionWidth@86 AS Int32) + 9 as .ResolutionWidth + Int32(9)], file_type=parquet + shard_physical_nseg: | + AggregateExec: mode=Final, gby=[], aggr=[sum(.ResolutionWidth) as sum(ResolutionWidth), sum(.ResolutionWidth + Int32(1)) as sum(ResolutionWidth+1), sum(.ResolutionWidth + Int32(2)) as sum(ResolutionWidth+2), sum(.ResolutionWidth + Int32(3)) as sum(ResolutionWidth+3), sum(.ResolutionWidth + Int32(4)) as sum(ResolutionWidth+4), sum(.ResolutionWidth + Int32(5)) as sum(ResolutionWidth+5), sum(.ResolutionWidth + Int32(6)) as sum(ResolutionWidth+6), sum(.ResolutionWidth + Int32(7)) as sum(ResolutionWidth+7), sum(.ResolutionWidth + Int32(8)) as sum(ResolutionWidth+8), sum(.ResolutionWidth + Int32(9)) as sum(ResolutionWidth+9)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(.ResolutionWidth) as sum(ResolutionWidth), sum(.ResolutionWidth + Int32(1)) as sum(ResolutionWidth+1), sum(.ResolutionWidth + Int32(2)) as sum(ResolutionWidth+2), sum(.ResolutionWidth + Int32(3)) as sum(ResolutionWidth+3), sum(.ResolutionWidth + Int32(4)) as sum(ResolutionWidth+4), sum(.ResolutionWidth + Int32(5)) as sum(ResolutionWidth+5), sum(.ResolutionWidth + Int32(6)) as sum(ResolutionWidth+6), sum(.ResolutionWidth + Int32(7)) as sum(ResolutionWidth+7), sum(.ResolutionWidth + Int32(8)) as sum(ResolutionWidth+8), sum(.ResolutionWidth + Int32(9)) as sum(ResolutionWidth+9)] + DataSourceExec: file_groups={}, projection=[ResolutionWidth, CAST(ResolutionWidth@86 AS Int32) + 1 as .ResolutionWidth + Int32(1), CAST(ResolutionWidth@86 AS Int32) + 2 as .ResolutionWidth + Int32(2), CAST(ResolutionWidth@86 AS Int32) + 3 as .ResolutionWidth + Int32(3), CAST(ResolutionWidth@86 AS Int32) + 4 as .ResolutionWidth + Int32(4), CAST(ResolutionWidth@86 AS Int32) + 5 as .ResolutionWidth + Int32(5), CAST(ResolutionWidth@86 AS Int32) + 6 as .ResolutionWidth + Int32(6), CAST(ResolutionWidth@86 AS Int32) + 7 as .ResolutionWidth + Int32(7), CAST(ResolutionWidth@86 AS Int32) + 8 as .ResolutionWidth + Int32(8), CAST(ResolutionWidth@86 AS Int32) + 9 as .ResolutionWidth + Int32(9)], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml new file mode 100644 index 0000000000000..a0030b3e6d5f8 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml @@ -0,0 +1,102 @@ +# Multi-stat + != filter (blocked) + multi-column sort with grouped TopK. +# AVG decomposition with composite sort; parquet DataSourceExec. +query: q31 +ppl_file: q31.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], SearchEngineID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], SearchEngineID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), SearchEngineID@3 as SearchEngineID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@2 as sum(input-0.c), sum(input-0.sum(IsRefresh))@3 as sum(input-0.sum(IsRefresh)), CASE WHEN sum(input-0.$f5)@5 = 0 THEN NULL ELSE CAST(sum(input-0.$f4)@4 AS Float64) / CAST(sum(input-0.$f5)@5 AS Float64) END as CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END, SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[SearchEngineID, ClientIP, c, sum(IsRefresh), $f4, $f5] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], SearchEngineID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], SearchEngineID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchEngineID=[$73], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), SearchEngineID@3 as SearchEngineID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), SearchEngineID@3 as SearchEngineID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml new file mode 100644 index 0000000000000..6195dc4984ff1 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml @@ -0,0 +1,102 @@ +# Same as q31 but grouped by (WatchID, ClientIP) — higher cardinality group keys. +# Mixed aggregates (count + sum + avg) with TopK on parquet DataSourceExec. +query: q32 +ppl_file: q32.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@2 as sum(input-0.c), sum(input-0.sum(IsRefresh))@3 as sum(input-0.sum(IsRefresh)), CASE WHEN sum(input-0.$f5)@5 = 0 THEN NULL ELSE CAST(sum(input-0.$f4)@4 AS Float64) / CAST(sum(input-0.$f5)@5 AS Float64) END as CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[WatchID, ClientIP, c, sum(IsRefresh), $f4, $f5] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($74, ''))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml new file mode 100644 index 0000000000000..4c173f915aacb --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml @@ -0,0 +1,84 @@ +# Mixed aggregates: COUNT + SUM + AVG in one grouped query with TopK. +# AVG split into SUM+COUNT partial, CASE WHEN null-guard division at coordinator. +query: q33 +ppl_file: q33.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@2 as sum(input-0.c), sum(input-0.sum(IsRefresh))@3 as sum(input-0.sum(IsRefresh)), CASE WHEN sum(input-0.$f5)@5 = 0 THEN NULL ELSE CAST(sum(input-0.$f4)@4 AS Float64) / CAST(sum(input-0.$f5)@5 AS Float64) END as CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[sum(input-0.c), sum(input-0.sum(IsRefresh)), sum(input-0.$f4), sum(input-0.$f5)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[WatchID, ClientIP, c, sum(IsRefresh), $f4, $f5] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$3], sort2=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[$4], WatchID=[$0], ClientIP=[$1], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$0], ClientIP=[$1], c=[$2], sum(IsRefresh)=[$3], avg(ResolutionWidth)=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], CAST($4):DOUBLE), $5))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], sum(IsRefresh)=[SUM($2)], agg#2=[SUM($3)], agg#3=[COUNT($3)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WatchID=[$98], ClientIP=[$6], IsRefresh=[$40], ResolutionWidth=[$69], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, sum(.IsRefresh)@1 as sum(IsRefresh), CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), sum(.IsRefresh)@3 as sum(.IsRefresh), CASE WHEN count(.ResolutionWidth)@5 = 0 THEN NULL ELSE CAST(sum(.ResolutionWidth)@4 AS Float64) / CAST(count(.ResolutionWidth)@5 AS Float64) END as CASE WHEN count(.ResolutionWidth) = Int64(0) THEN Float64(NULL) ELSE sum(.ResolutionWidth) / count(.ResolutionWidth) END, WatchID@0 as WatchID, ClientIP@1 as ClientIP] + AggregateExec: mode=FinalPartitioned, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml new file mode 100644 index 0000000000000..6c4266fdd2dd6 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml @@ -0,0 +1,80 @@ +# High-cardinality grouping by URL (keyword), no filter → parquet DataSourceExec with TopK. +# Structurally simplest TopK plan — single key, single agg, 3x fetch. +query: q34 +ppl_file: q34.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], URL=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], URL=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, URL@1 as URL] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@1 as sum(input-0.c), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[URL, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], URL=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], URL=[$0], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, URL@1 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, URL@1 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml new file mode 100644 index 0000000000000..77cc0b79c710d --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml @@ -0,0 +1,80 @@ +# ordering_mode=PartiallySorted([0]): constant group key enables DF partial-sort optimization. +# Literal 1 materialized in DataSourceExec projection, not a separate ProjectionExec. +query: q35 +ppl_file: q35.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], const=[1], URL=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(const=[1], URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], dir0=[DESC-nulls-last], fetch=[30], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(const=[1], URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], const=[1], URL=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[Int32(1)@0 as const, URL@1 as URL, count(Int64(1))[count]@2 as c] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, Int32(1)@1 as const, URL@2 as URL] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@2 as sum(input-0.c), 1 as Int32(1), URL@1 as URL] + AggregateExec: mode=FinalPartitioned, gby=[const@0 as const, URL@1 as URL], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([const@0, URL@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[const@0 as const, URL@1 as URL], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[const, URL, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], const=[1], URL=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(const=[1], URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$2], const=[1], URL=[$1], viableBackends=[[lucene, datafusion]]) + OpenSearchAggregate(group=[{0, 1}], c=[COUNT()], mode=[SINGLE], viableBackends=[[lucene, datafusion]]) + OpenSearchProject(const=[1], URL=[$85], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, Int32(1)@1 as const, URL@2 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), 1 as Int32(1), URL@1 as URL] + AggregateExec: mode=FinalPartitioned, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + RepartitionExec: partitioning=Hash([Int32(1)@0, URL@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, Int32(1)@1 as const, URL@2 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), 1 as Int32(1), URL@1 as URL] + AggregateExec: mode=FinalPartitioned, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + RepartitionExec: partitioning=Hash([Int32(1)@0, URL@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml new file mode 100644 index 0000000000000..ec6db780ecd6f --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml @@ -0,0 +1,80 @@ +# Derived-expression group keys: arithmetic (ClientIP-N) pushed into DataSourceExec. +# 4-key hash repartition with functionally-dependent keys (all from ClientIP). +query: q36 +ppl_file: q36.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$4], ClientIP=[$0], ClientIP - 1=[$1], ClientIP - 2=[$2], ClientIP - 3=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[SUM($4)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$4], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(ClientIP=[$6], ClientIP - 1=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], -($6, 1))], ClientIP - 2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], -($6, 2))], ClientIP - 3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], -($6, 3))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$4], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(ClientIP=[$6], ClientIP - 1=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], -($6, 1))], ClientIP - 2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], -($6, 2))], ClientIP - 3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], -($6, 3))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$4], ClientIP=[$0], ClientIP - 1=[$1], ClientIP - 2=[$2], ClientIP - 3=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[SUM($4)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as ClientIP - 1, .ClientIP - Int32(2)@2 as ClientIP - 2, .ClientIP - Int32(3)@3 as ClientIP - 3, count(Int64(1))[count]@4 as c] + SortPreservingMergeExec: [count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet + coord_physical: | + ProjectionExec: expr=[sum(input-0.c)@0 as c, ClientIP@1 as ClientIP, ClientIP - 1@2 as ClientIP - 1, ClientIP - 2@3 as ClientIP - 2, ClientIP - 3@4 as ClientIP - 3] + SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, ClientIP@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.c)@0 DESC NULLS LAST, ClientIP@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.c)@4 as sum(input-0.c), ClientIP@0 as ClientIP, ClientIP - 1@1 as ClientIP - 1, ClientIP - 2@2 as ClientIP - 2, ClientIP - 3@3 as ClientIP - 3] + AggregateExec: mode=FinalPartitioned, gby=[ClientIP@0 as ClientIP, ClientIP - 1@1 as ClientIP - 1, ClientIP - 2@2 as ClientIP - 2, ClientIP - 3@3 as ClientIP - 3], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=Hash([ClientIP@0, ClientIP - 1@1, ClientIP - 2@2, ClientIP - 3@3], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, ClientIP - 1@1 as ClientIP - 1, ClientIP - 2@2 as ClientIP - 2, ClientIP - 3@3 as ClientIP - 3], aggr=[sum(input-0.c)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, c] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$4], ClientIP=[$0], ClientIP - 1=[$1], ClientIP - 2=[$2], ClientIP - 3=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(ClientIP=[$6], ClientIP - 1=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], -($6, 1))], ClientIP - 2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], -($6, 2))], ClientIP - 3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], -($6, 3))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$4], ClientIP=[$0], ClientIP - 1=[$1], ClientIP - 2=[$2], ClientIP - 3=[$3], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(ClientIP=[$6], ClientIP - 1=[ANNOTATED_PROJECT_EXPR(id=0, backends=[datafusion], -($6, 1))], ClientIP - 2=[ANNOTATED_PROJECT_EXPR(id=1, backends=[datafusion], -($6, 2))], ClientIP - 3=[ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], -($6, 3))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, ClientIP@1 as ClientIP, .ClientIP - Int32(1)@2 as ClientIP - 1, .ClientIP - Int32(2)@3 as ClientIP - 2, .ClientIP - Int32(3)@4 as ClientIP - 3] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, ClientIP@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, ClientIP@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@4 as count(Int64(1)), ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)] + AggregateExec: mode=FinalPartitioned, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([ClientIP@0, .ClientIP - Int32(1)@1, .ClientIP - Int32(2)@2, .ClientIP - Int32(3)@3], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as c, ClientIP@1 as ClientIP, .ClientIP - Int32(1)@2 as ClientIP - 1, .ClientIP - Int32(2)@3 as ClientIP - 2, .ClientIP - Int32(3)@4 as ClientIP - 3] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, ClientIP@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, ClientIP@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@4 as count(Int64(1)), ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)] + AggregateExec: mode=FinalPartitioned, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([ClientIP@0, .ClientIP - Int32(1)@1, .ClientIP - Int32(2)@2, .ClientIP - Int32(3)@3], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml new file mode 100644 index 0000000000000..dcfa7ed65d4ba --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml @@ -0,0 +1,98 @@ +# Multi-predicate conjunction (CounterID=62, date range, flags, URL!='') +# All predicates routed to datafusion (!=, range blocked from lucene); parquet DataSourceExec with TopK. +query: q37 +ppl_file: q37.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($85, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($85, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URL@1 as URL] + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@1 as sum(input-0.PageViews), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[URL, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($85, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($85, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URL@1 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URL@1 as URL] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml new file mode 100644 index 0000000000000..4f3def2cc61f6 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml @@ -0,0 +1,98 @@ +# Same filter pattern as q37 but grouped by Title instead of URL. +# Title != '' blocked from lucene; parquet DataSourceExec with full predicate pushdown. +query: q38 +ppl_file: q38.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], Title=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(Title=[$83], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($83, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(Title=[$83], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($83, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], Title=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[Title@0 as Title, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[Title@0 as Title, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, Title@1 as Title] + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, Title@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, Title@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@1 as sum(input-0.PageViews), Title@0 as Title] + AggregateExec: mode=FinalPartitioned, gby=[Title@0 as Title], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([Title@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[Title, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], Title=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(Title=[$83], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($83, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], Title=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(Title=[$83], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], <>($83, '')))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, Title@1 as Title] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, Title@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, Title@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), Title@0 as Title] + AggregateExec: mode=FinalPartitioned, gby=[Title@0 as Title], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([Title@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, Title@1 as Title] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, Title@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST, Title@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), Title@0 as Title] + AggregateExec: mode=FinalPartitioned, gby=[Title@0 as Title], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([Title@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml new file mode 100644 index 0000000000000..c05744ac30d98 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml @@ -0,0 +1,101 @@ +# OFFSET: head 10 from 5 → effective limit 15, shard TopK fetch=45 (3x). +# All predicates numeric/date ([datafusion]); parquet DataSourceExec, tree_shape=NONE. +query: q39 +ppl_file: q39.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], <>($35, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($33, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], <>($35, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($33, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URL@1 as URL] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, URL@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@1 as sum(input-0.PageViews), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[URL, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], <>($35, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($33, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], URL=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URL=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], <>($35, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($33, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URL@1 as URL] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URL@1 as URL] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, URL@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), URL@0 as URL] + AggregateExec: mode=FinalPartitioned, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q4.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q4.plan.yaml new file mode 100644 index 0000000000000..454ea57199ff1 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q4.plan.yaml @@ -0,0 +1,58 @@ +# Pure avg decomposition: ships exactly 2 partial values (SUM, COUNT) for one aggregate. +# Division expression in final Project forces datafusion-only (lucene cannot evaluate). +query: q4 +ppl_file: q4.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchProject(avg(UserID)=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CAST($0):DOUBLE), $1))], viableBackends=[[datafusion]]) + OpenSearchProject($f0=[$0], $f1=[CAST($1):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], $f0=[SUM($0)], $f1=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[COUNT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[COUNT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(avg(UserID)=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CAST($0):DOUBLE), $1))], viableBackends=[[datafusion]]) + OpenSearchProject($f0=[$0], $f1=[CAST($1):BIGINT NOT NULL], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], $f0=[SUM($0)], $f1=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + AggregateExec: mode=Partial, gby=[], aggr=[sum(.UserID) as $f0, count(.UserID) as $f1] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + coord_physical: | + ProjectionExec: expr=[CASE WHEN sum(input-0.$f1)@1 = 0 THEN NULL ELSE CAST(sum(input-0.$f0)@0 AS Float64) / CAST(sum(input-0.$f1)@1 AS Float64) END as avg(UserID)] + AggregateExec: mode=Final, gby=[], aggr=[sum(input-0.$f0), sum(input-0.$f1)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(input-0.$f0), sum(input-0.$f1)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[$f0, $f1] + prod1s: + post_cbo: | + OpenSearchProject(avg(UserID)=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CAST($0):DOUBLE), $1))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[COUNT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(avg(UserID)=[ANNOTATED_PROJECT_EXPR(id=3, backends=[datafusion], /(ANNOTATED_PROJECT_EXPR(id=2, backends=[datafusion], CAST($0):DOUBLE), $1))], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[COUNT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[CASE WHEN count(.UserID)@1 = 0 THEN NULL ELSE CAST(sum(.UserID)@0 AS Float64) / CAST(count(.UserID)@1 AS Float64) END as avg(UserID)] + AggregateExec: mode=Single, gby=[], aggr=[sum(.UserID), count(.UserID)] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + shard_physical_nseg: | + ProjectionExec: expr=[CASE WHEN count(.UserID)@1 = 0 THEN NULL ELSE CAST(sum(.UserID)@0 AS Float64) / CAST(count(.UserID)@1 AS Float64) END as avg(UserID)] + AggregateExec: mode=Final, gby=[], aggr=[sum(.UserID), count(.UserID)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[sum(.UserID), count(.UserID)] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml new file mode 100644 index 0000000000000..504fc7ef167b9 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml @@ -0,0 +1,105 @@ +# CASE expression in eval: conditional Referer/URL assignment. +# Tests CASE WHEN pushdown into grouped TopK with 5 group keys and offset; parquet DataSourceExec. +query: q40 +ppl_file: q40.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$5], TraficSourceID=[$0], SearchEngineID=[$1], AdvEngineID=[$2], Src=[$3], Dst=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$5], sort1=[$0], sort2=[$1], sort3=[$2], sort4=[$3], sort5=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(TraficSourceID=[$84], SearchEngineID=[$73], AdvEngineID=[$0], Src=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CASE(ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], AND(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], =($73, 0)), ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], =($0, 0)))), $61, '':VARCHAR))], Dst=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$5], sort1=[$0], sort2=[$1], sort3=[$2], sort4=[$3], sort5=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(TraficSourceID=[$84], SearchEngineID=[$73], AdvEngineID=[$0], Src=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CASE(ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], AND(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], =($73, 0)), ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], =($0, 0)))), $61, '':VARCHAR))], Dst=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$5], TraficSourceID=[$0], SearchEngineID=[$1], AdvEngineID=[$2], Src=[$3], Dst=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as Src, URL@4 as Dst, count(Int64(1))[count]@5 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as Src, URL@4 as Dst, count(Int64(1))[count]@5 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, TraficSourceID@1 as TraficSourceID, SearchEngineID@2 as SearchEngineID, AdvEngineID@3 as AdvEngineID, Src@4 as Src, Dst@5 as Dst] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, Src@4 ASC, Dst@5 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, Src@4 ASC, Dst@5 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@5 as sum(input-0.PageViews), TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, Src@3 as Src, Dst@4 as Dst] + AggregateExec: mode=FinalPartitioned, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, Src@3 as Src, Dst@4 as Dst], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([TraficSourceID@0, SearchEngineID@1, AdvEngineID@2, Src@3, Dst@4], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, Src@3 as Src, Dst@4 as Dst], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$5], TraficSourceID=[$0], SearchEngineID=[$1], AdvEngineID=[$2], Src=[$3], Dst=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(TraficSourceID=[$84], SearchEngineID=[$73], AdvEngineID=[$0], Src=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CASE(ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], AND(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], =($73, 0)), ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], =($0, 0)))), $61, '':VARCHAR))], Dst=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], sort3=[$3], sort4=[$4], sort5=[$5], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], dir3=[ASC-nulls-first], dir4=[ASC-nulls-first], dir5=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$5], TraficSourceID=[$0], SearchEngineID=[$1], AdvEngineID=[$2], Src=[$3], Dst=[$4], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1, 2, 3, 4}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(TraficSourceID=[$84], SearchEngineID=[$73], AdvEngineID=[$0], Src=[ANNOTATED_PROJECT_EXPR(id=7, backends=[datafusion], CASE(ANNOTATED_PROJECT_EXPR(id=6, backends=[datafusion], AND(ANNOTATED_PROJECT_EXPR(id=4, backends=[datafusion], =($73, 0)), ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], =($0, 0)))), $61, '':VARCHAR))], Dst=[$85], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, TraficSourceID@1 as TraficSourceID, SearchEngineID@2 as SearchEngineID, AdvEngineID@3 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 as Src, URL@5 as Dst] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 ASC, URL@5 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 ASC, URL@5 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@5 as count(Int64(1)), TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + AggregateExec: mode=FinalPartitioned, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([TraficSourceID@0, SearchEngineID@1, AdvEngineID@2, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3, URL@4], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, TraficSourceID@1 as TraficSourceID, SearchEngineID@2 as SearchEngineID, AdvEngineID@3 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 as Src, URL@5 as Dst] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 ASC, URL@5 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, TraficSourceID@1 ASC, SearchEngineID@2 ASC, AdvEngineID@3 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@4 ASC, URL@5 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@5 as count(Int64(1)), TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + AggregateExec: mode=FinalPartitioned, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([TraficSourceID@0, SearchEngineID@1, AdvEngineID@2, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3, URL@4], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml new file mode 100644 index 0000000000000..05583d0830b46 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml @@ -0,0 +1,101 @@ +# IN predicate + RefererHash equality in multi-predicate conjunction. +# All numeric/date filters; parquet DataSourceExec with grouped TopK and offset. +query: q41 +ppl_file: q41.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[2], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], URLHash=[$0], EventDate=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[36], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URLHash=[$87], EventDate=[$15], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], SEARCH($84, Sarg[-1, 6])), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($63, 3594120000172545465)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[36], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(URLHash=[$87], EventDate=[$15], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], SEARCH($84, Sarg[-1, 6])), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($63, 3594120000172545465)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[2], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], URLHash=[$0], EventDate=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[URLHash@0 as URLHash, EventDate@1 as EventDate, count(Int64(1))[count]@2 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], fetch=36 + SortExec: TopK(fetch=36), expr=[count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] + shard_physical_nseg: | + ProjectionExec: expr=[URLHash@0 as URLHash, EventDate@1 as EventDate, count(Int64(1))[count]@2 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], fetch=36 + SortExec: TopK(fetch=36), expr=[count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URLHash@1 as URLHash, EventDate@2 as EventDate] + GlobalLimitExec: skip=2, fetch=10 + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], fetch=12 + SortExec: TopK(fetch=12), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@2 as sum(input-0.PageViews), URLHash@0 as URLHash, EventDate@1 as EventDate] + AggregateExec: mode=FinalPartitioned, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([URLHash@0, EventDate@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[URLHash, EventDate, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[2], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], URLHash=[$0], EventDate=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URLHash=[$87], EventDate=[$15], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], SEARCH($84, Sarg[-1, 6])), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($63, 3594120000172545465)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[2], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], URLHash=[$0], EventDate=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(URLHash=[$87], EventDate=[$15], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], SEARCH($84, Sarg[-1, 6])), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($63, 3594120000172545465)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URLHash@1 as URLHash, EventDate@2 as EventDate] + GlobalLimitExec: skip=2, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], fetch=12 + SortExec: TopK(fetch=12), expr=[count(Int64(1))@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), URLHash@0 as URLHash, EventDate@1 as EventDate] + AggregateExec: mode=FinalPartitioned, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URLHash@0, EventDate@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, URLHash@1 as URLHash, EventDate@2 as EventDate] + GlobalLimitExec: skip=2, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], fetch=12 + SortExec: TopK(fetch=12), expr=[count(Int64(1))@0 DESC NULLS LAST, URLHash@1 ASC, EventDate@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), URLHash@0 as URLHash, EventDate@1 as EventDate] + AggregateExec: mode=FinalPartitioned, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URLHash@0, EventDate@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml new file mode 100644 index 0000000000000..f0d7442406edd --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml @@ -0,0 +1,101 @@ +# URLHash equality in deep multi-predicate conjunction. +# Tests hash-value long equality with (WindowClientWidth, WindowClientHeight) grouping. +query: q42 +ppl_file: q42.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], WindowClientWidth=[$0], WindowClientHeight=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WindowClientWidth=[$100], WindowClientHeight=[$99], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($87, 2868770270353813622)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$2], sort1=[$0], sort2=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(WindowClientWidth=[$100], WindowClientHeight=[$99], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($87, 2868770270353813622)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], WindowClientWidth=[$0], WindowClientHeight=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[SUM($2)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight, count(Int64(1))[count]@2 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] + shard_physical_nseg: | + ProjectionExec: expr=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight, count(Int64(1))[count]@2 as PageViews] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, WindowClientWidth@1 as WindowClientWidth, WindowClientHeight@2 as WindowClientHeight] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[sum(input-0.PageViews)@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@2 as sum(input-0.PageViews), WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight] + AggregateExec: mode=FinalPartitioned, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([WindowClientWidth@0, WindowClientHeight@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[WindowClientWidth, WindowClientHeight, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], WindowClientWidth=[$0], WindowClientHeight=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WindowClientWidth=[$100], WindowClientHeight=[$99], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($87, 2868770270353813622)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$2], WindowClientWidth=[$0], WindowClientHeight=[$1], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0, 1}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(WindowClientWidth=[$100], WindowClientHeight=[$99], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-01':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-31':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)), ANNOTATED_PREDICATE(id=5, backends=[datafusion], =($87, 2868770270353813622)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, WindowClientWidth@1 as WindowClientWidth, WindowClientHeight@2 as WindowClientHeight] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight] + AggregateExec: mode=FinalPartitioned, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([WindowClientWidth@0, WindowClientHeight@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, WindowClientWidth@1 as WindowClientWidth, WindowClientHeight@2 as WindowClientHeight] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[count(Int64(1))@0 DESC NULLS LAST, WindowClientWidth@1 ASC, WindowClientHeight@2 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@2 as count(Int64(1)), WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight] + AggregateExec: mode=FinalPartitioned, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([WindowClientWidth@0, WindowClientHeight@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml new file mode 100644 index 0000000000000..ff47d0a295934 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml @@ -0,0 +1,105 @@ +# date_format eval + narrow date range + grouped count + sort by derived column. +# Temporal formatting expression pushdown with multi-predicate filter and offset. +query: q43 +ppl_file: q43.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], M=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(M=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], DATE_FORMAT($16, '%Y-%m-%d %H:%i:00':VARCHAR))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-14':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-15':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[ASC-nulls-first], fetch=[45], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(M=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], DATE_FORMAT($16, '%Y-%m-%d %H:%i:00':VARCHAR))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-14':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-15':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], M=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as M, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as M, count(Int64(1))[count]@1 as PageViews] + SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], fetch=45 + SortExec: TopK(fetch=45), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, M@1 as M] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [M@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[M@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.PageViews)@1 as sum(input-0.PageViews), M@0 as M] + AggregateExec: mode=FinalPartitioned, gby=[M@0 as M], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=Hash([M@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[M@0 as M], aggr=[sum(input-0.PageViews)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[M, PageViews] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], M=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(M=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], DATE_FORMAT($16, '%Y-%m-%d %H:%i:00':VARCHAR))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-14':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-15':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$1], dir0=[ASC-nulls-first], offset=[5], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(PageViews=[$1], M=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], PageViews=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(M=[ANNOTATED_PROJECT_EXPR(id=5, backends=[datafusion], DATE_FORMAT($16, '%Y-%m-%d %H:%i:00':VARCHAR))], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], =($12, 62)), ANNOTATED_PREDICATE(id=1, backends=[datafusion], >=($15, TIMESTAMP('2013-07-14':VARCHAR))), ANNOTATED_PREDICATE(id=2, backends=[datafusion], <=($15, TIMESTAMP('2013-07-15':VARCHAR))), ANNOTATED_PREDICATE(id=3, backends=[datafusion], =($40, 0)), ANNOTATED_PREDICATE(id=4, backends=[datafusion], =($14, 0)))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 as M] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + AggregateExec: mode=FinalPartitioned, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as PageViews, date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 as M] + GlobalLimitExec: skip=5, fetch=10 + SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 ASC], fetch=15 + SortExec: TopK(fetch=15), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + AggregateExec: mode=FinalPartitioned, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q5.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q5.plan.yaml new file mode 100644 index 0000000000000..1a3bf1d6f5ac4 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q5.plan.yaml @@ -0,0 +1,62 @@ +# dc → APPROX_COUNT_DISTINCT with HLL sketch merge across shards. +# Implicit IS NOT NULL filter blocked from lucene (production blocklist); parquet predicate pushdown. +query: q5 +ppl_file: q5.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($97))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($97))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + FilterExec: UserID@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 IS NOT NULL, pruning_predicate=UserID_null_count@1 != row_count@0, required_guarantees=[] + shard_physical_nseg: | + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + FilterExec: UserID@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 IS NOT NULL, pruning_predicate=UserID_null_count@1 != row_count@0, required_guarantees=[] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($97))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(UserID)=[APPROX_COUNT_DISTINCT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($97))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "dc(UserID)", data_type: Int64, nullable: true }], metadata: {} } + AggregateExec: mode=Final, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + FilterExec: UserID@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 IS NOT NULL, pruning_predicate=UserID_null_count@1 != row_count@0, required_guarantees=[] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "dc(UserID)", data_type: Int64, nullable: true }], metadata: {} } + AggregateExec: mode=Final, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.UserID) as dc(UserID)] + FilterExec: UserID@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet, predicate=UserID@89 IS NOT NULL, pruning_predicate=UserID_null_count@1 != row_count@0, required_guarantees=[] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q6.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q6.plan.yaml new file mode 100644 index 0000000000000..b6478c9a4bd87 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q6.plan.yaml @@ -0,0 +1,62 @@ +# dc(SearchPhrase): implicit IS NOT NULL blocked from lucene (production blocklist). +# Parquet DataSourceExec with pruning_predicate for null-count stats. +query: q6 +ppl_file: q6.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($74))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($74))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + FilterExec: SearchPhrase@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 IS NOT NULL, pruning_predicate=SearchPhrase_null_count@1 != row_count@0, required_guarantees=[] + shard_physical_nseg: | + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + FilterExec: SearchPhrase@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 IS NOT NULL, pruning_predicate=SearchPhrase_null_count@1 != row_count@0, required_guarantees=[] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($74))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], dc(SearchPhrase)=[APPROX_COUNT_DISTINCT($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], IS NOT NULL($74))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "dc(SearchPhrase)", data_type: Int64, nullable: true }], metadata: {} } + AggregateExec: mode=Final, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + FilterExec: SearchPhrase@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 IS NOT NULL, pruning_predicate=SearchPhrase_null_count@1 != row_count@0, required_guarantees=[] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "dc(SearchPhrase)", data_type: Int64, nullable: true }], metadata: {} } + AggregateExec: mode=Final, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[approx_distinct(.SearchPhrase) as dc(SearchPhrase)] + FilterExec: SearchPhrase@0 IS NOT NULL + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 IS NOT NULL, pruning_predicate=SearchPhrase_null_count@1 != row_count@0, required_guarantees=[] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q7.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q7.plan.yaml new file mode 100644 index 0000000000000..ecb33d195ac3d --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q7.plan.yaml @@ -0,0 +1,44 @@ +# min/max constant-folded to PlaceholderRowExec (resolved from parquet metadata at plan time). +# Scrubbed numeric literals: actual values are data-dependent, structure is what matters. +query: q7 +ppl_file: q7.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(EventDate=[$15], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($0)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(EventDate=[$15], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[ as min(EventDate), as max(EventDate)] + PlaceholderRowExec + coord_physical: | + AggregateExec: mode=Final, gby=[], aggr=[min(input-0.min(EventDate)) as min(EventDate), max(input-0.max(EventDate)) as max(EventDate)] + CoalescePartitionsExec + AggregateExec: mode=Partial, gby=[], aggr=[min(input-0.min(EventDate)) as min(EventDate), max(input-0.max(EventDate)) as max(EventDate)] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[min(EventDate), max(EventDate)] + prod1s: + post_cbo: | + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(EventDate=[$15], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchAggregate(group=[{}], min(EventDate)=[MIN($0)], max(EventDate)=[MAX($0)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(EventDate=[$15], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical: | + ProjectionExec: expr=[ as min(EventDate), as max(EventDate)] + PlaceholderRowExec diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml new file mode 100644 index 0000000000000..a4e1ed1ae7ec5 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml @@ -0,0 +1,98 @@ +# TopK with 3x fetch multiplier: shard fetch=30000 for coordinator limit=10000. +# != filter blocked from lucene; full parquet predicate stack coexists with shard-side TopK sort. +query: q8 +ppl_file: q8.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30000], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$1], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30000], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[SUM($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[AdvEngineID@0 as AdvEngineID, count(Int64(1))[count]@1 as count()] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], fetch=30000 + SortExec: TopK(fetch=30000), expr=[count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[AdvEngineID@0 as AdvEngineID, count(Int64(1))[count]@1 as count()] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], fetch=30000 + SortExec: TopK(fetch=30000), expr=[count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + coord_physical: | + ProjectionExec: expr=[sum(input-0.count())@0 as count(), AdvEngineID@1 as AdvEngineID] + SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, AdvEngineID@1 ASC], fetch=10000 + SortExec: TopK(fetch=10000), expr=[sum(input-0.count())@0 DESC NULLS LAST, AdvEngineID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[sum(input-0.count())@1 as sum(input-0.count()), AdvEngineID@0 as AdvEngineID] + AggregateExec: mode=FinalPartitioned, gby=[AdvEngineID@0 as AdvEngineID], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=Hash([AdvEngineID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[sum(input-0.count())] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + StreamingTableExec: partition_sizes=1, projection=[AdvEngineID, count()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], viableBackends=[[datafusion]]) + OpenSearchProject(count()=[$1], AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], count()=[COUNT()], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(AdvEngineID=[$0], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[ANNOTATED_PREDICATE(id=0, backends=[datafusion], <>($0, 0))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), AdvEngineID@1 as AdvEngineID] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, AdvEngineID@1 ASC], fetch=10000 + SortExec: TopK(fetch=10000), expr=[count(Int64(1))@0 DESC NULLS LAST, AdvEngineID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), AdvEngineID@0 as AdvEngineID] + AggregateExec: mode=FinalPartitioned, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([AdvEngineID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + shard_physical_nseg: | + ProjectionExec: expr=[count(Int64(1))@0 as count(), AdvEngineID@1 as AdvEngineID] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST, AdvEngineID@1 ASC], fetch=10000 + SortExec: TopK(fetch=10000), expr=[count(Int64(1))@0 DESC NULLS LAST, AdvEngineID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), AdvEngineID@0 as AdvEngineID] + AggregateExec: mode=FinalPartitioned, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([AdvEngineID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml new file mode 100644 index 0000000000000..87d1370c7f4f9 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml @@ -0,0 +1,77 @@ +# reduce_eval('approx_distinct') enables TopK on HLL partial registers before coordinator. +# Shard sorts on estimated cardinality from partial HLL state, fetch=30 (3x of head 10). +query: q9 +ppl_file: q9.ppl +applies: [prod2s, prod1s] +plans: + prod2s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchProject(RegionID=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchProject(RegionID=[$0], u=[$1], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$2], sort1=[$0], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[30], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$0], u=[$1], __reduce_eval_1=[reduce_eval('approx_distinct', $1)], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[PARTIAL], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + [COORDINATOR_REDUCE chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) + OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) + OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) + shard_physical: | + ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(u=[$1], RegionID=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(RegionID=[$65], UserID=[$97], viableBackends=[[lucene, datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "RegionID", data_type: Int32, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, RegionID@1 as RegionID] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST, RegionID@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST, RegionID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), RegionID@0 as RegionID] + AggregateExec: mode=FinalPartitioned, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "u", data_type: Int64, nullable: true }, Field { name: "RegionID", data_type: Int32, nullable: true }], metadata: {} } + ProjectionExec: expr=[approx_distinct(.UserID)@0 as u, RegionID@1 as RegionID] + SortPreservingMergeExec: [approx_distinct(.UserID)@0 DESC NULLS LAST, RegionID@1 ASC], fetch=10 + SortExec: TopK(fetch=10), expr=[approx_distinct(.UserID)@0 DESC NULLS LAST, RegionID@1 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[approx_distinct(.UserID)@1 as approx_distinct(.UserID), RegionID@0 as RegionID] + AggregateExec: mode=FinalPartitioned, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/combos.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/combos.yaml new file mode 100644 index 0000000000000..4aa244c76c551 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/combos.yaml @@ -0,0 +1,24 @@ +# Global named settings-combos for plan-shape golden ITs. +# A combo IS its settings — no knob-token indirection. Goldens reference combos by name only. +# cluster: applied via PUT /_cluster/settings. index: applied at the index PUT (provision time). +# index.number_of_shards is REQUIRED (the universal root knob: split vs no-split). +# +# `defaults` lists the combos CI runs unless overridden with -Dplan.combos=... + +combos: + prod2s: # production default, multi-shard + index: + number_of_shards: 2 + cluster: + analytics.shard_bucket_oversampling_factor: 2.0 + search.concurrent.max_slice_count: 4 + datafusion.reduce.target_partitions: 4 + prod1s: # production default, single-shard + index: + number_of_shards: 1 + cluster: + analytics.shard_bucket_oversampling_factor: 2.0 + search.concurrent.max_slice_count: 4 + datafusion.reduce.target_partitions: 4 + +defaults: [prod2s, prod1s] From 5381295a2655174ee6a91364c6f2dc904e84e45d Mon Sep 17 00:00:00 2001 From: Sandesh Kumar Date: Thu, 25 Jun 2026 18:20:53 -0700 Subject: [PATCH 60/94] Extend CONCAT test coverage to scalar-function operands (#22324) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Existing variadic CONCAT tests only exercised field-reference (RexInputRef) and string-literal operands. A concat operand can also be a nested scalar-function call (RexCall, e.g. substring(...)), which travels a different conversion path. This adds coverage for that shape: - ConcatVariadicIT (calcs, deterministic exact-value asserts): concat(substring, '|', substring), 2-arg concat(substring, substring), concat(upper, lower), and concat(left, '#', right). - ConcatVariadicAdapterTests: adapter cases with SUBSTRING RexCall operands — only the middle CHAR literal is cast, the VARCHAR scalar-fn operands pass through by reference; plus the all-scalar-fn no-op path. - local_executor.rs e2e: SQL -> Substrait -> from_substrait_plan -> execute round-trip for concat(substring, '|', substring) over a WHERE filter. Test-only; no production code changes. Signed-off-by: Sandesh Kumar Co-authored-by: Sandesh Kumar --- .../rust/src/local_executor.rs | 87 ++++++++++++++++++- .../ConcatVariadicAdapterTests.java | 45 ++++++++++ .../analytics/qa/ConcatVariadicIT.java | 54 ++++++++++++ 3 files changed, 185 insertions(+), 1 deletion(-) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs index 1bc58c1e14c3c..a59e2ec56d28f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs @@ -255,7 +255,7 @@ impl LocalSession { mod tests { use super::*; - use arrow_array::{Int64Array, RecordBatch}; + use arrow_array::{Array, Int64Array, RecordBatch, StringArray}; use datafusion::arrow::datatypes::{DataType, Field, Schema}; use datafusion::execution::runtime_env::RuntimeEnvBuilder; use datafusion_substrait::logical_plan::producer::to_substrait_plan; @@ -284,6 +284,24 @@ mod tests { .expect("batch builds") } + fn two_string_schema(a: &str, b: &str) -> SchemaRef { + Arc::new(Schema::new(vec![ + Field::new(a, DataType::Utf8, false), + Field::new(b, DataType::Utf8, false), + ])) + } + + fn two_string_batch(schema: &SchemaRef, col_a: &[&str], col_b: &[&str]) -> RecordBatch { + RecordBatch::try_new( + Arc::clone(schema), + vec![ + Arc::new(StringArray::from(col_a.to_vec())), + Arc::new(StringArray::from(col_b.to_vec())), + ], + ) + .expect("string batch builds") + } + #[tokio::test] async fn register_partition_makes_table_resolvable() { let env = test_runtime_env(); @@ -420,6 +438,73 @@ mod tests { assert_eq!(total, 45); } + /// `concat(substring(a, ...), '|', substring(b, ...))` over a WHERE filter — + /// the outer operands are scalar-function calls and the middle operand is a + /// string literal. Round-trips through SQL → Substrait → `from_substrait_plan` + /// and asserts one concatenated row per input. + #[tokio::test] + async fn execute_substrait_concat_substring_literal_substring() { + let env = test_runtime_env(); + let mut session = LocalSession::new(&env); + let schema = two_string_schema("url", "referer"); + + // Two rows, both non-empty so they survive the WHERE filter. + let batch = two_string_batch( + &schema, + &["http://alpha", "http://bravo"], + &["https://gamma", "https://delta"], + ); + session + .register_memtable("input-0", Arc::clone(&schema), vec![batch]) + .expect("register memtable"); + + let sql = "SELECT concat(substring(url, 1, 7), '|', substring(referer, 1, 8)) AS r \ + FROM \"input-0\" WHERE url <> '' AND referer <> ''"; + + let substrait_bytes = { + let env = test_runtime_env(); + let mut producer = LocalSession::new(&env); + producer + .register_memtable("input-0", Arc::clone(&schema), vec![]) + .expect("producer register"); + let df = producer.ctx.sql(sql).await.expect("concat sql parses"); + let plan = df.logical_plan().clone(); + let substrait = to_substrait_plan(&plan, &producer.ctx.state()).expect("to_substrait"); + let mut buf = Vec::new(); + substrait.encode(&mut buf).expect("encode"); + buf + }; + + let (mut stream, _plan) = session + .execute_substrait(&substrait_bytes) + .await + .expect("execute"); + + let mut results: Vec = Vec::new(); + while let Some(batch) = stream.next().await { + let batch = batch.expect("batch ok"); + // DataFusion's string functions may return Utf8/LargeUtf8/Utf8View depending on + // version; cast to Utf8 so the assertion is independent of the concrete string type. + let col = datafusion::arrow::compute::cast(batch.column(0), &DataType::Utf8) + .expect("cast concat output to Utf8"); + let col = col.as_any().downcast_ref::().expect("utf8 col"); + for i in 0..col.len() { + results.push(col.value(i).to_string()); + } + } + + // Each row joins the two substring results with the middle '|' literal. + results.sort(); + assert_eq!( + results, + vec![ + "http://|https://".to_string(), + "http://|https://".to_string(), + ], + "concat(substring, '|', substring) must yield one '|'-joined row per input" + ); + } + #[tokio::test] async fn prepare_final_plan_stores_plan() { let env = test_runtime_env(); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/ConcatVariadicAdapterTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/ConcatVariadicAdapterTests.java index 421b2ada82468..0ed7f728933bf 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/ConcatVariadicAdapterTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/ConcatVariadicAdapterTests.java @@ -18,6 +18,7 @@ import org.apache.calcite.rex.RexCall; import org.apache.calcite.rex.RexNode; import org.apache.calcite.sql.fun.SqlLibraryOperators; +import org.apache.calcite.sql.fun.SqlStdOperatorTable; import org.apache.calcite.sql.type.SqlTypeName; import org.opensearch.test.OpenSearchTestCase; @@ -121,4 +122,48 @@ public void testAdaptAllVarcharIsNoOp() { assertSame("all-VARCHAR call must pass through unchanged", original, adapted); } + + public void testAdaptCastsCharLiteralBetweenScalarFunctionOperands() { + // CONCAT(SUBSTRING(f0,1,3), charLiteral, SUBSTRING(f1,1,3)): the outer operands are + // scalar-function calls (RexCall), only the middle FixedChar literal needs casting. + RexNode substr0 = substringCall(0); + RexNode charLiteral = rexBuilder.makeInputRef(charType, 2); + RexNode substr1 = substringCall(1); + RexCall original = (RexCall) rexBuilder.makeCall(SqlLibraryOperators.CONCAT_FUNCTION, substr0, charLiteral, substr1); + + RexCall adapted = (RexCall) adapter.adapt(original, List.of(), cluster); + + assertSame("operator identity must be preserved", original.getOperator(), adapted.getOperator()); + for (int i = 0; i < adapted.getOperands().size(); i++) { + assertEquals( + "operand " + i + " must be VARCHAR after normalisation", + SqlTypeName.VARCHAR, + adapted.getOperands().get(i).getType().getSqlTypeName() + ); + } + // The two scalar-function operands were already VARCHAR, so they must pass through by + // reference — only the middle literal is rewritten. + assertSame("VARCHAR substring operand 0 must pass through unchanged", substr0, adapted.getOperands().get(0)); + assertSame("VARCHAR substring operand 2 must pass through unchanged", substr1, adapted.getOperands().get(2)); + assertNotSame("CHAR literal operand must be rewritten to a VARCHAR cast", charLiteral, adapted.getOperands().get(1)); + } + + public void testAdaptTwoScalarFunctionOperandsIsNoOp() { + // CONCAT(SUBSTRING(f0,1,3), SUBSTRING(f1,1,3)): two VARCHAR-typed scalar-function operands, + // nothing to cast, so the original call passes through by reference. + RexCall original = (RexCall) rexBuilder.makeCall(SqlLibraryOperators.CONCAT_FUNCTION, substringCall(0), substringCall(1)); + + RexNode adapted = adapter.adapt(original, List.of(), cluster); + + assertSame("all-VARCHAR scalar-fn operand call must pass through unchanged", original, adapted); + } + + /** {@code SUBSTRING(field#idx, 1, 3)} typed VARCHAR — a RexCall operand for concat. */ + private RexCall substringCall(int fieldIndex) { + RexNode field = rexBuilder.makeInputRef(varcharType, fieldIndex); + RelDataType intType = typeFactory.createSqlType(SqlTypeName.INTEGER); + RexNode start = rexBuilder.makeExactLiteral(java.math.BigDecimal.ONE, intType); + RexNode len = rexBuilder.makeExactLiteral(java.math.BigDecimal.valueOf(3), intType); + return (RexCall) rexBuilder.makeCall(varcharType, SqlStdOperatorTable.SUBSTRING, List.of(field, start, len)); + } } diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ConcatVariadicIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ConcatVariadicIT.java index 7775998408ded..489fa24232bfb 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ConcatVariadicIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/ConcatVariadicIT.java @@ -19,6 +19,16 @@ * VARCHAR / FixedChar operand list (the natural shape when fields and short string * literals appear together) trips isthmus' consistency check. The adapter pre-casts * every non-VARCHAR operand to VARCHAR so substrait emits a uniform-typed call. + * + *

      Operand-shape coverage matters here: a concat operand can be a field reference + * ({@code RexInputRef}), a string literal ({@code RexLiteral}), or a nested scalar-function + * call ({@code RexCall}, e.g. {@code substring(...)}). These travel different conversion + * paths, so the tests below exercise concat over scalar-function operands in + * addition to the field/literal shapes — the natural form of queries like + * {@code concat(substring(url, 1, 10), '|', substring(referer, 1, 10))}. + * + *

      Fixture row 0 ({@code key00}) of calcs: str0="FURNITURE", str1="CLAMP ON LAMPS", + * str2="one", str3="e". */ public class ConcatVariadicIT extends AnalyticsRestTestCase { @@ -52,6 +62,50 @@ public void testConcatFieldAndLiteralAndField() throws IOException { ); } + public void testConcatSubstringLiteralSubstringWithFilter() throws IOException { + // 3-arg concat where the outer operands are SUBSTRING scalar-function calls (RexCall, not + // field refs) and the middle operand is a short string literal, above a WHERE filter on the + // same fields. Row 0 of calcs has str0=`FURNITURE` and str1=`CLAMP ON LAMPS`, so + // substring(_,1,3) yields `FUR` and `CLA` → `FUR|CLA`. + assertRowsEqual( + "source=" + + DATASET.indexName + + " | where str0 != '' and str1 != ''" + + " | eval r = concat(substring(str0, 1, 3), '|', substring(str1, 1, 3))" + + " | fields r | head 1", + row("FUR|CLA") + ); + } + + public void testConcatTwoSubstringsNoLiteral() throws IOException { + // 2-arg concat of two SUBSTRING calls, no middle literal — every operand is an already + // VARCHAR-typed scalar call, so the variadic adapter makes no change. `FUR` + `CLA`. + assertRowsEqual( + "source=" + DATASET.indexName + " | eval r = concat(substring(str0, 1, 3), substring(str1, 1, 3)) | fields r | head 1", + row("FURCLA") + ); + } + + public void testConcatUpperAndLowerScalarFns() throws IOException { + // concat of two different scalar-function operands, no literal: upper(str3)=`E`, + // lower(str0)=`furniture` → `Efurniture`. Confirms the adapter's no-op path holds when + // operands are RexCalls (not field refs) typed VARCHAR. + assertRowsEqual( + "source=" + DATASET.indexName + " | eval r = concat(upper(str3), lower(str0)) | fields r | head 1", + row("Efurniture") + ); + } + + public void testConcatScalarFnLiteralScalarFnDistinctFns() throws IOException { + // 3-arg concat(scalarFn, literal, scalarFn) with two distinct functions around a FixedChar + // literal: left(str0,3)=`FUR`, right(str0,3)=`URE` → `FUR#URE`. Exercises the cast path on + // the middle literal while both outer operands are scalar-function calls. + assertRowsEqual( + "source=" + DATASET.indexName + " | eval r = concat(left(str0, 3), '#', right(str0, 3)) | fields r | head 1", + row("FUR#URE") + ); + } + private static List row(Object... values) { return Arrays.asList(values); } From c153e6785abe92e458edb1fa52c0c62beeca8440 Mon Sep 17 00:00:00 2001 From: Koustubh Gupta <30352828+thorkous@users.noreply.github.com> Date: Fri, 26 Jun 2026 17:10:17 +0530 Subject: [PATCH 61/94] Remove duplicate versionMap after refresh call. (#22269) Signed-off-by: Koustubh Gupta Co-authored-by: Koustubh Gupta --- .../java/org/opensearch/index/engine/DataFormatAwareEngine.java | 1 - 1 file changed, 1 deletion(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index 6b6aa3745874d..f050f1356fa79 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -1112,7 +1112,6 @@ public void refresh(String source) throws EngineException { } } finally { notifyRefreshListenersAfter(refreshed); - versionMap.afterRefresh(refreshed); IOUtils.close(toClose); refreshLock.unlock(); } From 78eebfa8891afdaa64b7363a09de97bf25c83fb2 Mon Sep 17 00:00:00 2001 From: rayshrey <121871912+rayshrey@users.noreply.github.com> Date: Sun, 28 Jun 2026 11:50:59 +0530 Subject: [PATCH 62/94] Revert "Add indexing throttle on merge pressure for DataFormatAwareEngine (#22319)" (#22335) This reverts commit 86d0f52afe70d0d03f57998a705962162623a1a7. Signed-off-by: rayshrey --- .../index/engine/DataFormatAwareEngine.java | 8 +- .../dataformat/merge/MergeScheduler.java | 34 ------ .../merge/MergeSchedulerOnDrainedTests.java | 101 ++---------------- .../dataformat/merge/MergeSchedulerTests.java | 94 +--------------- .../engine/dataformat/merge/MergeTests.java | 31 +----- 5 files changed, 14 insertions(+), 254 deletions(-) diff --git a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java index f050f1356fa79..7ec6a578cfe5d 100644 --- a/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java +++ b/server/src/main/java/org/opensearch/index/engine/DataFormatAwareEngine.java @@ -500,13 +500,7 @@ public DataFormatAwareEngine(EngineConfig engineConfig) { refreshLock.unlock(); } } - }, - this::activateThrottling, - this::deactivateThrottling, - shardId, - engineConfig.getIndexSettings(), - engineConfig.getThreadPool() - ); + }, shardId, engineConfig.getIndexSettings(), engineConfig.getThreadPool()); success = true; logger.trace("created new DataFormatBasedEngine"); } catch (IOException | TranslogCorruptedException e) { diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java index d95be1157da8a..2904cd9f541ab 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java @@ -48,11 +48,8 @@ public class MergeScheduler { private final MergeHandler mergeHandler; private final BiConsumer applyMergeChanges; private final Runnable onMergeFailureCleanup; - private final Runnable activateThrottling; - private final Runnable deactivateThrottling; private final ThreadPool threadPool; private final AtomicInteger activeMerges = new AtomicInteger(0); - private final AtomicBoolean isThrottling = new AtomicBoolean(false); private final AtomicBoolean isShutdown = new AtomicBoolean(false); private final Semaphore forceMergeLock = new Semaphore(1); private final AtomicBoolean frozen = new AtomicBoolean(false); @@ -78,8 +75,6 @@ public class MergeScheduler { * @param mergeHandler the handler that selects and executes merges * @param applyMergeChanges callback to apply merge results (e.g., update the catalog) * @param onMergeFailureCleanup callback invoked when a merge fails and cleanup is performed - * @param activateThrottling callback to activate indexing throttle when merge pressure is high - * @param deactivateThrottling callback to deactivate indexing throttle when merge pressure subsides * @param shardId the shard this scheduler is associated with * @param indexSettings the index settings providing merge scheduler configuration * @param threadPool the OpenSearch thread pool for executing merge tasks @@ -88,8 +83,6 @@ public MergeScheduler( MergeHandler mergeHandler, BiConsumer applyMergeChanges, Runnable onMergeFailureCleanup, - Runnable activateThrottling, - Runnable deactivateThrottling, ShardId shardId, IndexSettings indexSettings, ThreadPool threadPool @@ -97,8 +90,6 @@ public MergeScheduler( this.mergeHandler = mergeHandler; this.applyMergeChanges = applyMergeChanges; this.onMergeFailureCleanup = onMergeFailureCleanup; - this.activateThrottling = activateThrottling; - this.deactivateThrottling = deactivateThrottling; this.threadPool = threadPool; logger = Loggers.getLogger(getClass(), shardId); this.indexSettings = indexSettings; @@ -147,7 +138,6 @@ public void triggerMerges() { if (!isFrozen()) { mergeHandler.findAndRegisterMerges(); } - evaluateThrottle(); executeMerge(); } @@ -353,7 +343,6 @@ private void submitMergeTask(OneMerge oneMerge) { // uncaught exception on the merge thread pool. } finally { activeMerges.decrementAndGet(); - evaluateThrottle(); // Fire all drain listeners if all merges completed and none pending if (isFrozen() && activeMerges.get() == 0 && !mergeHandler.hasPendingMerges() && !onDrainedListeners.isEmpty()) { List listeners = List.copyOf(onDrainedListeners); @@ -405,27 +394,4 @@ private void runMerge(OneMerge oneMerge) throws IOException { mergeStatsTracker.afterMerge(tookMS, totalNumDocs, totalSizeInBytes); } } - - private synchronized void evaluateThrottle() { - int numMergesInFlight = activeMerges.get() + mergeHandler.getPendingMergeCount(); - if (numMergesInFlight > maxMergeCount) { - if (isThrottling.getAndSet(true) == false) { - logger.info("now throttling indexing: numMergesInFlight={}, maxMergeCount={}", numMergesInFlight, maxMergeCount); - try { - activateThrottling.run(); - } catch (Exception e) { - logger.warn("exception in activateThrottling callback", e); - } - } - } else if (numMergesInFlight < maxMergeCount) { - if (isThrottling.getAndSet(false)) { - logger.info("stop throttling indexing: numMergesInFlight={}, maxMergeCount={}", numMergesInFlight, maxMergeCount); - try { - deactivateThrottling.run(); - } catch (Exception e) { - logger.warn("exception in deactivateThrottling callback", e); - } - } - } - } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java index 0e1fee5a3f620..27709d31f1a9f 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java @@ -67,16 +67,7 @@ public void testOnDrained_AlreadyDrained_FiresListenerImmediately() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); AtomicBoolean listenerCalled = new AtomicBoolean(false); scheduler.onDrained(() -> listenerCalled.set(true)); @@ -93,16 +84,7 @@ public void testOnDrained_MergesPending_RegistersListener() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); AtomicBoolean listenerCalled = new AtomicBoolean(false); scheduler.onDrained(() -> listenerCalled.set(true)); @@ -119,16 +101,7 @@ public void testOnDrained_MultipleListeners_AllFire() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); AtomicInteger callCount = new AtomicInteger(0); @@ -204,16 +177,7 @@ public void testOnDrained_ListenersFire_WhenMergesGoFromNToZero() throws Excepti IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); CountDownLatch latch = new CountDownLatch(3); AtomicInteger callCount = new AtomicInteger(0); @@ -259,16 +223,7 @@ public void testOnDrained_DoubleCheckRace_ListenerFiresImmediately() throws Exce IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); // First call to hasPendingMerges returns true (first check fails, goes to add), // second call returns false (double-check succeeds, fires the listener) @@ -293,16 +248,7 @@ public void testOnDrained_ListenerExceptionIsolation_OtherListenersStillFire() t IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); // Register listeners individually via the double-check path. // Each onDrained call is independent — if one listener throws during its own @@ -339,16 +285,7 @@ public void testHasPendingMerges_DelegatesToMergeHandler() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); assertTrue("hasPendingMerges should delegate to handler when handler reports true", scheduler.hasPendingMerges()); @@ -365,16 +302,7 @@ public void testGetActiveMergeCount_InitiallyZero() { IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); assertEquals("Active merge count should be 0 initially", 0, scheduler.getActiveMergeCount()); } @@ -408,16 +336,7 @@ public void testSubmitMergeTask_FinallyBlock_FiresListenersWhenLastMergeComplete IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - MergeScheduler scheduler = new MergeScheduler( - mockHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - testShardId, - indexSettings, - threadPool - ); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); // Register an onDrained listener BEFORE triggering merges. // Reset hasPendingMerges stub for the full flow: @@ -497,7 +416,7 @@ private MergeScheduler newIdleScheduler(MergeHandler mockHandler) { when(mockHandler.hasPendingMerges()).thenReturn(false); IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); - return new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, () -> {}, () -> {}, testShardId, indexSettings, threadPool); + return new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); } /** diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java index 9116b05ed1723..a5939653303f2 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerTests.java @@ -15,7 +15,6 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexModule; import org.opensearch.index.IndexSettings; -import org.opensearch.index.MergeSchedulerConfig; import org.opensearch.index.engine.dataformat.MergeResult; import org.opensearch.index.engine.exec.Segment; import org.opensearch.test.IndexSettingsModule; @@ -26,9 +25,7 @@ import java.io.IOException; import java.util.List; import java.util.Map; -import java.util.concurrent.atomic.AtomicInteger; -import static org.mockito.ArgumentMatchers.any; import static org.mockito.ArgumentMatchers.anyInt; import static org.mockito.Mockito.mock; import static org.mockito.Mockito.never; @@ -70,16 +67,7 @@ private IndexSettings indexSettings(IndexModule.TieringState tieringState) { } private MergeScheduler newScheduler(MergeHandler mergeHandler, IndexModule.TieringState tieringState) { - return new MergeScheduler( - mergeHandler, - (result, merge) -> {}, - () -> {}, - () -> {}, - () -> {}, - shardId, - indexSettings(tieringState), - threadPool - ); + return new MergeScheduler(mergeHandler, (result, merge) -> {}, () -> {}, shardId, indexSettings(tieringState), threadPool); } public void testFreezeBlocksTriggerMerges() { @@ -169,8 +157,6 @@ public void testForceMergeAbortsRemainingMergesOnShutdown() throws Exception { mergeHandler, (result, merge) -> { schedulerRef.get().shutdown(); }, () -> {}, - () -> {}, - () -> {}, shardId, indexSettings(IndexModule.TieringState.HOT), threadPool @@ -188,82 +174,4 @@ public void testForceMergeAbortsRemainingMergesOnShutdown() throws Exception { verify(mergeHandler).doMerge(merge1); verify(mergeHandler, never()).doMerge(merge2); } - - public void testThrottlingActivatesWhenMergesExceedMaxCount() throws Exception { - AtomicInteger activateCount = new AtomicInteger(); - AtomicInteger deactivateCount = new AtomicInteger(); - - IndexSettings idxSettings = IndexSettingsModule.newIndexSettings( - "test", - Settings.builder() - .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) - .put(MergeSchedulerConfig.MAX_THREAD_COUNT_SETTING.getKey(), "1") - .put(MergeSchedulerConfig.MAX_MERGE_COUNT_SETTING.getKey(), "2") - .build() - ); - - MergeHandler mergeHandler = mock(MergeHandler.class); - OneMerge merge1 = mock(OneMerge.class); - OneMerge merge2 = mock(OneMerge.class); - OneMerge merge3 = mock(OneMerge.class); - when(merge1.getSegmentsToMerge()).thenReturn(List.of()); - when(merge2.getSegmentsToMerge()).thenReturn(List.of()); - when(merge3.getSegmentsToMerge()).thenReturn(List.of()); - - when(mergeHandler.getPendingMergeCount()).thenReturn(3, 3, 2, 1, 0); - when(mergeHandler.hasPendingMerges()).thenReturn(true, true, true, false); - when(mergeHandler.getNextMerge()).thenReturn(merge1).thenReturn(merge2).thenReturn(merge3).thenReturn(null); - when(mergeHandler.doMerge(any())).thenReturn(new MergeResult(Map.of())); - - MergeScheduler scheduler = new MergeScheduler( - mergeHandler, - (result, merge) -> {}, - () -> {}, - activateCount::incrementAndGet, - deactivateCount::incrementAndGet, - shardId, - idxSettings, - threadPool - ); - - scheduler.triggerMerges(); - assertBusy(() -> assertTrue("throttle should have activated", activateCount.get() > 0)); - assertBusy(() -> assertTrue("throttle should have deactivated", deactivateCount.get() > 0)); - } - - public void testThrottlingNotActivatedWhenMergesWithinLimit() throws Exception { - AtomicInteger activateCount = new AtomicInteger(); - - IndexSettings idxSettings = IndexSettingsModule.newIndexSettings( - "test", - Settings.builder() - .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) - .put(MergeSchedulerConfig.MAX_THREAD_COUNT_SETTING.getKey(), "1") - .put(MergeSchedulerConfig.MAX_MERGE_COUNT_SETTING.getKey(), "6") - .build() - ); - - MergeHandler mergeHandler = mock(MergeHandler.class); - OneMerge merge1 = mock(OneMerge.class); - when(merge1.getSegmentsToMerge()).thenReturn(List.of()); - when(mergeHandler.getPendingMergeCount()).thenReturn(1, 0); - when(mergeHandler.hasPendingMerges()).thenReturn(true, false); - when(mergeHandler.getNextMerge()).thenReturn(merge1).thenReturn(null); - when(mergeHandler.doMerge(any())).thenReturn(new MergeResult(Map.of())); - - MergeScheduler scheduler = new MergeScheduler( - mergeHandler, - (result, merge) -> {}, - () -> {}, - activateCount::incrementAndGet, - () -> {}, - shardId, - idxSettings, - threadPool - ); - - scheduler.triggerMerges(); - Thread.sleep(200); - assertEquals("throttle should not activate when merges within limit", 0, activateCount.get()); - } } diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java index a3c3a884e60de..ec17a29093052 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeTests.java @@ -180,8 +180,6 @@ private MergeScheduler createMergeScheduler() { createNoopHandler(emptySnapshotSupplier()), (mergeResult, oneMerge) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, idxSettings, mockThreadPool() @@ -404,8 +402,6 @@ public void testStatsWithAutoThrottleEnabled() { createNoopHandler(emptySnapshotSupplier()), (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, idxSettings, mockThreadPool() @@ -434,8 +430,6 @@ public void testTriggerMergesExecutesMergeThread() throws Exception { handler, (mr, om) -> captured.set(mr), () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -461,8 +455,6 @@ public void testTriggerMergesHandlesMergeFailure() throws Exception { handler, (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -487,7 +479,7 @@ public void testForceMergeExecutesMerges() throws Exception { MergeScheduler scheduler = new MergeScheduler(handler, (mr, om) -> { captured.set(mr); latch.countDown(); - }, () -> {}, () -> {}, () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); + }, () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); onForceMergeThread(() -> scheduler.forceMerge(1)); assertTrue(latch.await(5, TimeUnit.SECONDS)); @@ -530,8 +522,6 @@ public void testForceMergeSerializesOnlyConcurrentCallers() throws Exception { handler, (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -594,8 +584,6 @@ public void testForceMergeBlocksUntilComplete() throws Exception { handler, (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -618,8 +606,6 @@ public void testForceMergePropagatesFailure() throws Exception { handler, (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -648,8 +634,6 @@ public void testRunMergeInvokesCleanupOnFailure() throws Exception { handler, (mr, om) -> {}, () -> cleanupCalled.set(true), - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -682,8 +666,6 @@ public void testRunMergeInvokesApplyOnSuccess() throws Exception { handler, applyCallback, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() @@ -696,14 +678,7 @@ public void testRunMergeInvokesApplyOnSuccess() throws Exception { public void testForceMergeWithNoSegmentsIsNoop() throws Exception { MergeScheduler scheduler = new MergeScheduler(createNoopHandler(emptySnapshotSupplier()), (mr, om) -> { fail("applyMergeChanges should not be called"); - }, - () -> { fail("onMergeFailureCleanup should not be called"); }, - () -> {}, - () -> {}, - SHARD_ID, - mergeSchedulerSettings(), - mockThreadPool() - ); + }, () -> { fail("onMergeFailureCleanup should not be called"); }, SHARD_ID, mergeSchedulerSettings(), mockThreadPool()); onForceMergeThread(() -> scheduler.forceMerge(1)); } @@ -721,8 +696,6 @@ public void testConcurrentForceMergeAndBackgroundMerge() throws Exception { handler, (mr, om) -> {}, () -> {}, - () -> {}, - () -> {}, SHARD_ID, mergeSchedulerSettings(), mockThreadPool() From 41d6c8b2e924dbf0b947168e50f5c53d44984046 Mon Sep 17 00:00:00 2001 From: Sandesh Kumar Date: Sun, 28 Jun 2026 11:46:01 -0700 Subject: [PATCH 63/94] [analytics-engine] Disable skip_partial_aggregation for multi-shard queries (#22337) --- .../rust/src/session_context.rs | 29 ++++++++++++++++ .../analytics/qa/PartialAggregateModeIT.java | 34 +++++++++++++++++++ 2 files changed, 63 insertions(+) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 3003be094c42b..5f99b8ccbd06b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -200,6 +200,9 @@ pub async unsafe fn create_session_context( let mut config = SessionConfig::new(); config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; + if has_partial_aggregate { + config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; + } config.options_mut().execution.target_partitions = effective_partitions; config.options_mut().execution.batch_size = effective_batch_size; // When the index has `index.sort.field`, ask DataFusion to use the sort-aware @@ -827,4 +830,30 @@ mod tests { assert!(Arc::ptr_eq(&got_b, &store_b), "env_b must resolve to its own store"); assert!(!Arc::ptr_eq(&got_a, &got_b), "per-query stores must be independent across queries"); } + + #[test] + fn test_skip_partial_agg_disabled_when_has_partial_aggregate() { + // When has_partial_aggregate=true, skip_partial must be disabled (threshold=1.0) + let mut config = SessionConfig::new(); + let has_partial = true; + if has_partial { + config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; + } + assert_eq!( + config.options().execution.skip_partial_aggregation_probe_ratio_threshold, + 1.0, + "skip_partial must be disabled (1.0) for multi-shard" + ); + } + + #[test] + fn test_skip_partial_agg_default_when_single_shard() { + // When has_partial_aggregate=false, skip_partial retains DF default (0.8) + let config = SessionConfig::new(); + assert_eq!( + config.options().execution.skip_partial_aggregation_probe_ratio_threshold, + 0.8, + "single-shard must retain DF default threshold" + ); + } } diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PartialAggregateModeIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PartialAggregateModeIT.java index d035074c12948..50443fb05319b 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PartialAggregateModeIT.java +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/PartialAggregateModeIT.java @@ -138,4 +138,38 @@ private void setOversampling(double factor) throws IOException { req.setJsonEntity("{\"transient\":{\"analytics.shard_bucket_oversampling_factor\":" + factor + "}}"); client().performRequest(req); } + + /** Regression guard: TopK with high-cardinality group keys must produce valid counts. */ + @SuppressWarnings("unchecked") + public void testTopK_highCardinalityGroupBy_correctness() throws Exception { + ensureProvisioned(); + setConcurrentSearchMode("all", 4); + setOversampling(2.0); + + String idx = CLICKBENCH.indexName; + + Map total = executePpl("source=" + idx + " | stats count()"); + long totalCount = ((Number) ((List>) total.get("datarows")).get(0).get(0)).longValue(); + + Map topk = executePpl( + "source=" + idx + " | stats count() as cnt by RegionID | sort - cnt | head 5" + ); + List> rows = (List>) topk.get("datarows"); + assertNotNull(rows); + assertFalse("TopK must return rows", rows.isEmpty()); + + long sumTopK = rows.stream().mapToLong(r -> ((Number) r.get(0)).longValue()).sum(); + assertTrue( + "Sum of top-K counts (" + sumTopK + ") must not exceed total (" + totalCount + ")", + sumTopK <= totalCount + ); + + for (List row : rows) { + long cnt = ((Number) row.get(0)).longValue(); + assertTrue("Each group count must be > 0", cnt > 0); + } + + setConcurrentSearchMode("none", 0); + setOversampling(0.0); + } } From 2bc7dc647a99e51b3b08db72d3ae7bc6c0b016a3 Mon Sep 17 00:00:00 2001 From: Andriy Redko Date: Mon, 29 Jun 2026 00:06:14 -0400 Subject: [PATCH 64/94] Attempt to fix flaky AzureBlobStoreRepositoryTests test cases (#22339) Signed-off-by: Andriy Redko --- ...SearchBlobStoreRepositoryIntegTestCase.java | 18 ++++++++++++++++++ ...rchMockAPIBasedRepositoryIntegTestCase.java | 4 ++++ 2 files changed, 22 insertions(+) diff --git a/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchBlobStoreRepositoryIntegTestCase.java b/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchBlobStoreRepositoryIntegTestCase.java index 3b76b94670ba8..4f1f204113dc0 100644 --- a/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchBlobStoreRepositoryIntegTestCase.java +++ b/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchBlobStoreRepositoryIntegTestCase.java @@ -124,6 +124,8 @@ protected final String createRepository(final String name, final Settings settin } public void testReadNonExistingPath() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final BlobContainer container = store.blobContainer(new BlobPath()); expectThrows(NoSuchFileException.class, () -> { @@ -135,6 +137,8 @@ public void testReadNonExistingPath() throws IOException { } public void testWriteRead() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final BlobContainer container = store.blobContainer(new BlobPath()); byte[] data = randomBytes(randomIntBetween(10, scaledRandomIntBetween(1024, 1 << 16))); @@ -164,6 +168,8 @@ public void testWriteRead() throws IOException { } public void testReadRange() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final BlobContainer container = store.blobContainer(new BlobPath()); final byte[] data = randomBytes(4096); @@ -185,6 +191,8 @@ public void testReadRange() throws IOException { } public void testList() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final BlobContainer container = store.blobContainer(new BlobPath()); assertThat(container.listBlobs().size(), CoreMatchers.equalTo(0)); @@ -225,6 +233,8 @@ public void testList() throws IOException { } public void testDeleteBlobs() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final List blobNames = Arrays.asList("foobar", "barfoo"); final BlobContainer container = store.blobContainer(new BlobPath()); @@ -257,6 +267,8 @@ public static void writeBlob( } public void testContainerCreationAndDeletion() throws IOException { + ensureGreen(); + try (BlobStore store = newBlobStore()) { final BlobContainer containerFoo = store.blobContainer(new BlobPath().add("foo")); final BlobContainer containerBar = store.blobContainer(new BlobPath().add("bar")); @@ -315,6 +327,8 @@ protected BlobStore newBlobStore() { } public void testSnapshotAndRestore() throws Exception { + ensureGreen(); + final String repoName = createRepository(randomName()); int indexCount = randomIntBetween(1, 5); int[] docCounts = new int[indexCount]; @@ -391,6 +405,8 @@ public void testSnapshotAndRestore() throws Exception { } public void testMultipleSnapshotAndRollback() throws Exception { + ensureGreen(); + final String repoName = createRepository(randomName()); int iterationCount = randomIntBetween(2, 5); int[] docCounts = new int[iterationCount]; @@ -455,6 +471,8 @@ public void testMultipleSnapshotAndRollback() throws Exception { } public void testIndicesDeletedFromRepository() throws Exception { + ensureGreen(); + final String repoName = createRepository("test-repo-" + randomAlphaOfLength(8)); Client client = client(); createIndex("test-idx-1", "test-idx-2", "test-idx-3"); diff --git a/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchMockAPIBasedRepositoryIntegTestCase.java b/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchMockAPIBasedRepositoryIntegTestCase.java index 50dae0a6741a8..52890c354e902 100644 --- a/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchMockAPIBasedRepositoryIntegTestCase.java +++ b/test/framework/src/main/java/org/opensearch/repositories/blobstore/OpenSearchMockAPIBasedRepositoryIntegTestCase.java @@ -156,6 +156,8 @@ public void tearDownHttpServer() { * Test the snapshot and restore of an index which has large segments files. */ public void testSnapshotWithLargeSegmentFiles() throws Exception { + ensureGreen(); + final String repository = createRepository(randomName()); final String index = "index-no-merges"; createIndex( @@ -188,6 +190,8 @@ public void testSnapshotWithLargeSegmentFiles() throws Exception { } public void testRequestStats() throws Exception { + ensureGreen(); + final String repository = createRepository(randomName()); final String index = "index-no-merges"; createIndex( From 4a36eed91ff507e0b32e52231409f24aa93d5e1a Mon Sep 17 00:00:00 2001 From: Harsha Vamsi Kalluri Date: Mon, 29 Jun 2026 12:41:36 -0700 Subject: [PATCH 65/94] Upgrading lucene version to 10.5.0 (#22322) Signed-off-by: Harsha Vamsi Kalluri --- gradle/libs.versions.toml | 2 +- libs/core/licenses/lucene-core-10.4.0.jar.sha1 | 1 - libs/core/licenses/lucene-core-10.5.0.jar.sha1 | 1 + .../core/src/main/java/org/opensearch/Version.java | 2 +- libs/netty4/licenses/lucene-core-10.4.0.jar.sha1 | 1 - libs/netty4/licenses/lucene-core-10.5.0.jar.sha1 | 1 + .../licenses/lucene-expressions-10.4.0.jar.sha1 | 1 - .../licenses/lucene-expressions-10.5.0.jar.sha1 | 1 + .../licenses/lucene-analysis-icu-10.4.0.jar.sha1 | 1 - .../licenses/lucene-analysis-icu-10.5.0.jar.sha1 | 1 + .../lucene-analysis-kuromoji-10.4.0.jar.sha1 | 1 - .../lucene-analysis-kuromoji-10.5.0.jar.sha1 | 1 + .../licenses/lucene-analysis-nori-10.4.0.jar.sha1 | 1 - .../licenses/lucene-analysis-nori-10.5.0.jar.sha1 | 1 + .../lucene-analysis-phonetic-10.4.0.jar.sha1 | 1 - .../lucene-analysis-phonetic-10.5.0.jar.sha1 | 1 + .../lucene-analysis-smartcn-10.4.0.jar.sha1 | 1 - .../lucene-analysis-smartcn-10.5.0.jar.sha1 | 1 + .../lucene-analysis-stempel-10.4.0.jar.sha1 | 1 - .../lucene-analysis-stempel-10.5.0.jar.sha1 | 1 + .../lucene-analysis-morfologik-10.4.0.jar.sha1 | 1 - .../lucene-analysis-morfologik-10.5.0.jar.sha1 | 1 + .../lucene-analysis-common-10.4.0.jar.sha1 | 1 - .../lucene-analysis-common-10.5.0.jar.sha1 | 1 + .../lucene-backward-codecs-10.4.0.jar.sha1 | 1 - .../lucene-backward-codecs-10.5.0.jar.sha1 | 1 + server/licenses/lucene-core-10.4.0.jar.sha1 | 1 - server/licenses/lucene-core-10.5.0.jar.sha1 | 1 + server/licenses/lucene-grouping-10.4.0.jar.sha1 | 1 - server/licenses/lucene-grouping-10.5.0.jar.sha1 | 1 + server/licenses/lucene-highlighter-10.4.0.jar.sha1 | 1 - server/licenses/lucene-highlighter-10.5.0.jar.sha1 | 1 + server/licenses/lucene-join-10.4.0.jar.sha1 | 1 - server/licenses/lucene-join-10.5.0.jar.sha1 | 1 + server/licenses/lucene-memory-10.4.0.jar.sha1 | 1 - server/licenses/lucene-memory-10.5.0.jar.sha1 | 1 + server/licenses/lucene-misc-10.4.0.jar.sha1 | 1 - server/licenses/lucene-misc-10.5.0.jar.sha1 | 1 + server/licenses/lucene-queries-10.4.0.jar.sha1 | 1 - server/licenses/lucene-queries-10.5.0.jar.sha1 | 1 + server/licenses/lucene-queryparser-10.4.0.jar.sha1 | 1 - server/licenses/lucene-queryparser-10.5.0.jar.sha1 | 1 + server/licenses/lucene-sandbox-10.4.0.jar.sha1 | 1 - server/licenses/lucene-sandbox-10.5.0.jar.sha1 | 1 + .../licenses/lucene-spatial-extras-10.4.0.jar.sha1 | 1 - .../licenses/lucene-spatial-extras-10.5.0.jar.sha1 | 1 + server/licenses/lucene-spatial3d-10.4.0.jar.sha1 | 1 - server/licenses/lucene-spatial3d-10.5.0.jar.sha1 | 1 + server/licenses/lucene-suggest-10.4.0.jar.sha1 | 1 - server/licenses/lucene-suggest-10.5.0.jar.sha1 | 1 + .../lucene90/Lucene90DocValuesConsumerWrapper.java | 8 ++++++-- .../lucene90/Lucene90DocValuesProducerWrapper.java | 14 ++++++++++++-- .../index/SortedSetDocValuesWriterWrapper.java | 7 ++++++- .../composite/LuceneDocValuesConsumerFactory.java | 5 ++++- .../composite/LuceneDocValuesProducerFactory.java | 5 ++++- .../composite912/Composite912DocValuesFormat.java | 6 ++++++ .../index/query/MoreLikeThisQueryBuilder.java | 2 +- .../org/opensearch/lucene/util/CombinedBitSet.java | 13 +++++++++++++ .../startree/builder/StarTreeBuilderTestCase.java | 2 +- .../lucene/util/CombinedBitSetTests.java | 1 + .../licenses/lucene-codecs-10.4.0.jar.sha1 | 1 - .../licenses/lucene-codecs-10.5.0.jar.sha1 | 1 + .../licenses/lucene-test-framework-10.4.0.jar.sha1 | 1 - .../licenses/lucene-test-framework-10.5.0.jar.sha1 | 1 + 64 files changed, 82 insertions(+), 37 deletions(-) delete mode 100644 libs/core/licenses/lucene-core-10.4.0.jar.sha1 create mode 100644 libs/core/licenses/lucene-core-10.5.0.jar.sha1 delete mode 100644 libs/netty4/licenses/lucene-core-10.4.0.jar.sha1 create mode 100644 libs/netty4/licenses/lucene-core-10.5.0.jar.sha1 delete mode 100644 modules/lang-expression/licenses/lucene-expressions-10.4.0.jar.sha1 create mode 100644 modules/lang-expression/licenses/lucene-expressions-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-icu/licenses/lucene-analysis-icu-10.4.0.jar.sha1 create mode 100644 plugins/analysis-icu/licenses/lucene-analysis-icu-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.4.0.jar.sha1 create mode 100644 plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-nori/licenses/lucene-analysis-nori-10.4.0.jar.sha1 create mode 100644 plugins/analysis-nori/licenses/lucene-analysis-nori-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.4.0.jar.sha1 create mode 100644 plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.4.0.jar.sha1 create mode 100644 plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.4.0.jar.sha1 create mode 100644 plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.5.0.jar.sha1 delete mode 100644 plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.4.0.jar.sha1 create mode 100644 plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-analysis-common-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-analysis-common-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-backward-codecs-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-backward-codecs-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-core-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-core-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-grouping-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-grouping-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-highlighter-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-highlighter-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-join-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-join-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-memory-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-memory-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-misc-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-misc-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-queries-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-queries-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-queryparser-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-queryparser-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-sandbox-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-sandbox-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-spatial-extras-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-spatial-extras-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-spatial3d-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-spatial3d-10.5.0.jar.sha1 delete mode 100644 server/licenses/lucene-suggest-10.4.0.jar.sha1 create mode 100644 server/licenses/lucene-suggest-10.5.0.jar.sha1 delete mode 100644 test/framework/licenses/lucene-codecs-10.4.0.jar.sha1 create mode 100644 test/framework/licenses/lucene-codecs-10.5.0.jar.sha1 delete mode 100644 test/framework/licenses/lucene-test-framework-10.4.0.jar.sha1 create mode 100644 test/framework/licenses/lucene-test-framework-10.5.0.jar.sha1 diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index 2b524e1385629..4c0a8e873ce3f 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -1,6 +1,6 @@ [versions] opensearch = "3.8.0" -lucene = "10.4.0" +lucene = "10.5.0" bundled_jdk_vendor = "adoptium" bundled_jdk = "25.0.3+9" diff --git a/libs/core/licenses/lucene-core-10.4.0.jar.sha1 b/libs/core/licenses/lucene-core-10.4.0.jar.sha1 deleted file mode 100644 index 89d6695f37459..0000000000000 --- a/libs/core/licenses/lucene-core-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -7493bc763cd5e91f2a8f7722c2f90d8ce15c6319 \ No newline at end of file diff --git a/libs/core/licenses/lucene-core-10.5.0.jar.sha1 b/libs/core/licenses/lucene-core-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..c283fe8a56b45 --- /dev/null +++ b/libs/core/licenses/lucene-core-10.5.0.jar.sha1 @@ -0,0 +1 @@ +383deeee9b44ef15daaf7541d57ea5183d52a7b5 \ No newline at end of file diff --git a/libs/core/src/main/java/org/opensearch/Version.java b/libs/core/src/main/java/org/opensearch/Version.java index 475cc15c1cb4b..6efa888434817 100644 --- a/libs/core/src/main/java/org/opensearch/Version.java +++ b/libs/core/src/main/java/org/opensearch/Version.java @@ -173,7 +173,7 @@ private static String legacyFriendlyIdToString(int versionId) { public static final Version V_3_6_1 = new Version(3060199, org.apache.lucene.util.Version.LUCENE_10_4_0); public static final Version V_3_7_0 = new Version(3070099, org.apache.lucene.util.Version.LUCENE_10_4_0); public static final Version V_3_7_1 = new Version(3070199, org.apache.lucene.util.Version.LUCENE_10_4_0); - public static final Version V_3_8_0 = new Version(3080099, org.apache.lucene.util.Version.LUCENE_10_4_0); + public static final Version V_3_8_0 = new Version(3080099, org.apache.lucene.util.Version.LUCENE_10_5_0); public static final Version CURRENT = V_3_8_0; protected static final Map idToVersion; diff --git a/libs/netty4/licenses/lucene-core-10.4.0.jar.sha1 b/libs/netty4/licenses/lucene-core-10.4.0.jar.sha1 deleted file mode 100644 index 89d6695f37459..0000000000000 --- a/libs/netty4/licenses/lucene-core-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -7493bc763cd5e91f2a8f7722c2f90d8ce15c6319 \ No newline at end of file diff --git a/libs/netty4/licenses/lucene-core-10.5.0.jar.sha1 b/libs/netty4/licenses/lucene-core-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..c283fe8a56b45 --- /dev/null +++ b/libs/netty4/licenses/lucene-core-10.5.0.jar.sha1 @@ -0,0 +1 @@ +383deeee9b44ef15daaf7541d57ea5183d52a7b5 \ No newline at end of file diff --git a/modules/lang-expression/licenses/lucene-expressions-10.4.0.jar.sha1 b/modules/lang-expression/licenses/lucene-expressions-10.4.0.jar.sha1 deleted file mode 100644 index 4206f09667e5f..0000000000000 --- a/modules/lang-expression/licenses/lucene-expressions-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -e50bb1b8f468887a315c456b75f8375ddba5559e \ No newline at end of file diff --git a/modules/lang-expression/licenses/lucene-expressions-10.5.0.jar.sha1 b/modules/lang-expression/licenses/lucene-expressions-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..0b104cd0ce388 --- /dev/null +++ b/modules/lang-expression/licenses/lucene-expressions-10.5.0.jar.sha1 @@ -0,0 +1 @@ +a1820135f8c0f51a6635905d754705472592a008 \ No newline at end of file diff --git a/plugins/analysis-icu/licenses/lucene-analysis-icu-10.4.0.jar.sha1 b/plugins/analysis-icu/licenses/lucene-analysis-icu-10.4.0.jar.sha1 deleted file mode 100644 index 8f7a2f739cd27..0000000000000 --- a/plugins/analysis-icu/licenses/lucene-analysis-icu-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -50257f0d7d3fc805d596d6b842f0eeb099c72640 \ No newline at end of file diff --git a/plugins/analysis-icu/licenses/lucene-analysis-icu-10.5.0.jar.sha1 b/plugins/analysis-icu/licenses/lucene-analysis-icu-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..b490479390839 --- /dev/null +++ b/plugins/analysis-icu/licenses/lucene-analysis-icu-10.5.0.jar.sha1 @@ -0,0 +1 @@ +cb67d073b767ed1d1d24a9b03117ef9bbac5c1aa \ No newline at end of file diff --git a/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.4.0.jar.sha1 b/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.4.0.jar.sha1 deleted file mode 100644 index 8d0bf21c63e21..0000000000000 --- a/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -71033f490b07f1f1784724ade66efaa181a69b92 \ No newline at end of file diff --git a/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.5.0.jar.sha1 b/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..ec21a19de5bfa --- /dev/null +++ b/plugins/analysis-kuromoji/licenses/lucene-analysis-kuromoji-10.5.0.jar.sha1 @@ -0,0 +1 @@ +c205946d6a177bf516f590e89e4cda36a537c33f \ No newline at end of file diff --git a/plugins/analysis-nori/licenses/lucene-analysis-nori-10.4.0.jar.sha1 b/plugins/analysis-nori/licenses/lucene-analysis-nori-10.4.0.jar.sha1 deleted file mode 100644 index 70bc273c4d9e0..0000000000000 --- a/plugins/analysis-nori/licenses/lucene-analysis-nori-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -3781153d96b93e8f50c975bb5b60c7634687074a \ No newline at end of file diff --git a/plugins/analysis-nori/licenses/lucene-analysis-nori-10.5.0.jar.sha1 b/plugins/analysis-nori/licenses/lucene-analysis-nori-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..7bd3c8c9a0b7c --- /dev/null +++ b/plugins/analysis-nori/licenses/lucene-analysis-nori-10.5.0.jar.sha1 @@ -0,0 +1 @@ +2a2db150e967984e18d293619142b2cd27f09f63 \ No newline at end of file diff --git a/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.4.0.jar.sha1 b/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.4.0.jar.sha1 deleted file mode 100644 index 9f19d7f83eba5..0000000000000 --- a/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -8bec2c8cba1dd2f16d6899cfa1a7de48c0454c09 \ No newline at end of file diff --git a/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.5.0.jar.sha1 b/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..1655db0c3da6c --- /dev/null +++ b/plugins/analysis-phonetic/licenses/lucene-analysis-phonetic-10.5.0.jar.sha1 @@ -0,0 +1 @@ +2dfd6a62be5ed3822b01c96a0da805fa55e962ef \ No newline at end of file diff --git a/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.4.0.jar.sha1 b/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.4.0.jar.sha1 deleted file mode 100644 index d18455ff73b79..0000000000000 --- a/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -e05ae4af9a81735b4bf3c88449a2468331f5455e \ No newline at end of file diff --git a/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.5.0.jar.sha1 b/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..520e448917a44 --- /dev/null +++ b/plugins/analysis-smartcn/licenses/lucene-analysis-smartcn-10.5.0.jar.sha1 @@ -0,0 +1 @@ +c6ef06ff204f4e370584a37674cd676b708d5ceb \ No newline at end of file diff --git a/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.4.0.jar.sha1 b/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.4.0.jar.sha1 deleted file mode 100644 index 6aa41cde5ce17..0000000000000 --- a/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -718244708f4ef6d6ba4133c7e71b11ced8ebaa7d \ No newline at end of file diff --git a/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.5.0.jar.sha1 b/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..69ad1366e131f --- /dev/null +++ b/plugins/analysis-stempel/licenses/lucene-analysis-stempel-10.5.0.jar.sha1 @@ -0,0 +1 @@ +4bbed0d5695daefcbf6c380d72c1b54b99ddf397 \ No newline at end of file diff --git a/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.4.0.jar.sha1 b/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.4.0.jar.sha1 deleted file mode 100644 index 10984e7989aa7..0000000000000 --- a/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -21d90ece2dbe5df22e98dc54d848c16e1ddc838a \ No newline at end of file diff --git a/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.5.0.jar.sha1 b/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..9b81c5ae6ec75 --- /dev/null +++ b/plugins/analysis-ukrainian/licenses/lucene-analysis-morfologik-10.5.0.jar.sha1 @@ -0,0 +1 @@ +1ea877703aeefcd8109934c6894387ee6fde7163 \ No newline at end of file diff --git a/server/licenses/lucene-analysis-common-10.4.0.jar.sha1 b/server/licenses/lucene-analysis-common-10.4.0.jar.sha1 deleted file mode 100644 index edc73cad56dd6..0000000000000 --- a/server/licenses/lucene-analysis-common-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -61c4a7b27753662619e84261b42f404fda85886f \ No newline at end of file diff --git a/server/licenses/lucene-analysis-common-10.5.0.jar.sha1 b/server/licenses/lucene-analysis-common-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..70332e4419fcf --- /dev/null +++ b/server/licenses/lucene-analysis-common-10.5.0.jar.sha1 @@ -0,0 +1 @@ +2b314f57f18f3d9ad855f611f6f391519ac78a8d \ No newline at end of file diff --git a/server/licenses/lucene-backward-codecs-10.4.0.jar.sha1 b/server/licenses/lucene-backward-codecs-10.4.0.jar.sha1 deleted file mode 100644 index beac03c7ea7f5..0000000000000 --- a/server/licenses/lucene-backward-codecs-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -9cb01ee8ba10cd935133a82bd72d16faf4f8dffe \ No newline at end of file diff --git a/server/licenses/lucene-backward-codecs-10.5.0.jar.sha1 b/server/licenses/lucene-backward-codecs-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..a35ed264d2f0b --- /dev/null +++ b/server/licenses/lucene-backward-codecs-10.5.0.jar.sha1 @@ -0,0 +1 @@ +0967b73127de6f17bbd83c015d258872359e8f97 \ No newline at end of file diff --git a/server/licenses/lucene-core-10.4.0.jar.sha1 b/server/licenses/lucene-core-10.4.0.jar.sha1 deleted file mode 100644 index 89d6695f37459..0000000000000 --- a/server/licenses/lucene-core-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -7493bc763cd5e91f2a8f7722c2f90d8ce15c6319 \ No newline at end of file diff --git a/server/licenses/lucene-core-10.5.0.jar.sha1 b/server/licenses/lucene-core-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..c283fe8a56b45 --- /dev/null +++ b/server/licenses/lucene-core-10.5.0.jar.sha1 @@ -0,0 +1 @@ +383deeee9b44ef15daaf7541d57ea5183d52a7b5 \ No newline at end of file diff --git a/server/licenses/lucene-grouping-10.4.0.jar.sha1 b/server/licenses/lucene-grouping-10.4.0.jar.sha1 deleted file mode 100644 index 307cb2f07efa2..0000000000000 --- a/server/licenses/lucene-grouping-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -8d143b267e6575a08d5483a8b103384536fdd4c9 \ No newline at end of file diff --git a/server/licenses/lucene-grouping-10.5.0.jar.sha1 b/server/licenses/lucene-grouping-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..fe687855e33a6 --- /dev/null +++ b/server/licenses/lucene-grouping-10.5.0.jar.sha1 @@ -0,0 +1 @@ +ed85d8acb132c4aa175c92778132f8e54a00ce0e \ No newline at end of file diff --git a/server/licenses/lucene-highlighter-10.4.0.jar.sha1 b/server/licenses/lucene-highlighter-10.4.0.jar.sha1 deleted file mode 100644 index 4f3d2135d7a91..0000000000000 --- a/server/licenses/lucene-highlighter-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -a3cd37e7588506447382a9175da271fb37c55e67 \ No newline at end of file diff --git a/server/licenses/lucene-highlighter-10.5.0.jar.sha1 b/server/licenses/lucene-highlighter-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..fb76f497aadcb --- /dev/null +++ b/server/licenses/lucene-highlighter-10.5.0.jar.sha1 @@ -0,0 +1 @@ +fccffbe10fa6fd84bc884df844eb850ffcc8d51b \ No newline at end of file diff --git a/server/licenses/lucene-join-10.4.0.jar.sha1 b/server/licenses/lucene-join-10.4.0.jar.sha1 deleted file mode 100644 index 87e6d8db260b2..0000000000000 --- a/server/licenses/lucene-join-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -56e08fe428fe88e51dd4c89ca62c6a72bf2f8f57 \ No newline at end of file diff --git a/server/licenses/lucene-join-10.5.0.jar.sha1 b/server/licenses/lucene-join-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..b1053a47da7b2 --- /dev/null +++ b/server/licenses/lucene-join-10.5.0.jar.sha1 @@ -0,0 +1 @@ +b34a23804c461495fb98ef597d72cfc134466b3b \ No newline at end of file diff --git a/server/licenses/lucene-memory-10.4.0.jar.sha1 b/server/licenses/lucene-memory-10.4.0.jar.sha1 deleted file mode 100644 index d6f6d189292b6..0000000000000 --- a/server/licenses/lucene-memory-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -6c6f1080466c5dff5b1d0eeeb3ead745591eb9d1 \ No newline at end of file diff --git a/server/licenses/lucene-memory-10.5.0.jar.sha1 b/server/licenses/lucene-memory-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..4e2d636232a3b --- /dev/null +++ b/server/licenses/lucene-memory-10.5.0.jar.sha1 @@ -0,0 +1 @@ +a18c7a57e054836d2dc7ece7dfe28a9cad61f660 \ No newline at end of file diff --git a/server/licenses/lucene-misc-10.4.0.jar.sha1 b/server/licenses/lucene-misc-10.4.0.jar.sha1 deleted file mode 100644 index 6783f2b1d38c8..0000000000000 --- a/server/licenses/lucene-misc-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -e86d65b1a8b5bf8dc66f4e002fe75ddc886da62c \ No newline at end of file diff --git a/server/licenses/lucene-misc-10.5.0.jar.sha1 b/server/licenses/lucene-misc-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..5e81bcd59d7c6 --- /dev/null +++ b/server/licenses/lucene-misc-10.5.0.jar.sha1 @@ -0,0 +1 @@ +113d957ae3c80c8c52052f4d38badc9ae5c1b60d \ No newline at end of file diff --git a/server/licenses/lucene-queries-10.4.0.jar.sha1 b/server/licenses/lucene-queries-10.4.0.jar.sha1 deleted file mode 100644 index 8619fd3bce7c3..0000000000000 --- a/server/licenses/lucene-queries-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -43b2654a448504dc4ac382f6d9b6896e2e8b67b7 \ No newline at end of file diff --git a/server/licenses/lucene-queries-10.5.0.jar.sha1 b/server/licenses/lucene-queries-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..af7896ff0f36e --- /dev/null +++ b/server/licenses/lucene-queries-10.5.0.jar.sha1 @@ -0,0 +1 @@ +c96555ec32a411d860527ea13add388d72a614b2 \ No newline at end of file diff --git a/server/licenses/lucene-queryparser-10.4.0.jar.sha1 b/server/licenses/lucene-queryparser-10.4.0.jar.sha1 deleted file mode 100644 index d2dc853dd6bfd..0000000000000 --- a/server/licenses/lucene-queryparser-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -6e3e758b60b1e2549a85139d9498b54565c38eeb \ No newline at end of file diff --git a/server/licenses/lucene-queryparser-10.5.0.jar.sha1 b/server/licenses/lucene-queryparser-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..888ca9ad534a8 --- /dev/null +++ b/server/licenses/lucene-queryparser-10.5.0.jar.sha1 @@ -0,0 +1 @@ +dea0c58101825f086127abf5adce13ced0bd0fc2 \ No newline at end of file diff --git a/server/licenses/lucene-sandbox-10.4.0.jar.sha1 b/server/licenses/lucene-sandbox-10.4.0.jar.sha1 deleted file mode 100644 index 1dfab5a550136..0000000000000 --- a/server/licenses/lucene-sandbox-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -15976efaae9213b1a61e3509da6f366e243b90c7 \ No newline at end of file diff --git a/server/licenses/lucene-sandbox-10.5.0.jar.sha1 b/server/licenses/lucene-sandbox-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..7dd1ebd09d49a --- /dev/null +++ b/server/licenses/lucene-sandbox-10.5.0.jar.sha1 @@ -0,0 +1 @@ +928527693dc814ba0125659b07316e260713e38f \ No newline at end of file diff --git a/server/licenses/lucene-spatial-extras-10.4.0.jar.sha1 b/server/licenses/lucene-spatial-extras-10.4.0.jar.sha1 deleted file mode 100644 index 2bde1e35e7a6b..0000000000000 --- a/server/licenses/lucene-spatial-extras-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -1f56784003e51d7b2df7c27a99d7b127e67e97bf \ No newline at end of file diff --git a/server/licenses/lucene-spatial-extras-10.5.0.jar.sha1 b/server/licenses/lucene-spatial-extras-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..0ac47da0b21b2 --- /dev/null +++ b/server/licenses/lucene-spatial-extras-10.5.0.jar.sha1 @@ -0,0 +1 @@ +900c6d78202cfd96a8e513f2271c972c4af98388 \ No newline at end of file diff --git a/server/licenses/lucene-spatial3d-10.4.0.jar.sha1 b/server/licenses/lucene-spatial3d-10.4.0.jar.sha1 deleted file mode 100644 index 188a9793bc655..0000000000000 --- a/server/licenses/lucene-spatial3d-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -fa337dd41be0f0ee99bc4fd463d517adf25e06a3 \ No newline at end of file diff --git a/server/licenses/lucene-spatial3d-10.5.0.jar.sha1 b/server/licenses/lucene-spatial3d-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..a922121cfb346 --- /dev/null +++ b/server/licenses/lucene-spatial3d-10.5.0.jar.sha1 @@ -0,0 +1 @@ +e2a6601ca2d16796a068589128787114d15935c3 \ No newline at end of file diff --git a/server/licenses/lucene-suggest-10.4.0.jar.sha1 b/server/licenses/lucene-suggest-10.4.0.jar.sha1 deleted file mode 100644 index dcfdfac03d13b..0000000000000 --- a/server/licenses/lucene-suggest-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -d86d535c415cf9c79016aaefa9957dab98766a68 \ No newline at end of file diff --git a/server/licenses/lucene-suggest-10.5.0.jar.sha1 b/server/licenses/lucene-suggest-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..97dccca431dd0 --- /dev/null +++ b/server/licenses/lucene-suggest-10.5.0.jar.sha1 @@ -0,0 +1 @@ +62ee5896308143da8ee6b8c0f6a1a2f724c1ffb4 \ No newline at end of file diff --git a/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesConsumerWrapper.java b/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesConsumerWrapper.java index 580f7a1cc576b..76ecf9a337b22 100644 --- a/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesConsumerWrapper.java +++ b/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesConsumerWrapper.java @@ -31,7 +31,9 @@ public Lucene90DocValuesConsumerWrapper( String dataCodec, String dataExtension, String metaCodec, - String metaExtension + String metaExtension, + String skipIndexCodec, + String skipIndexExtension ) throws IOException { lucene90DocValuesConsumer = new Lucene90DocValuesConsumer( state, @@ -39,7 +41,9 @@ public Lucene90DocValuesConsumerWrapper( dataCodec, dataExtension, metaCodec, - metaExtension + metaExtension, + skipIndexCodec, + skipIndexExtension ); } diff --git a/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesProducerWrapper.java b/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesProducerWrapper.java index a213852c59094..3a6588b18500c 100644 --- a/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesProducerWrapper.java +++ b/server/src/main/java/org/apache/lucene/codecs/lucene90/Lucene90DocValuesProducerWrapper.java @@ -30,9 +30,19 @@ public Lucene90DocValuesProducerWrapper( String dataCodec, String dataExtension, String metaCodec, - String metaExtension + String metaExtension, + String skipIndexCodec, + String skipIndexExtension ) throws IOException { - lucene90DocValuesProducer = new Lucene90DocValuesProducer(state, dataCodec, dataExtension, metaCodec, metaExtension); + lucene90DocValuesProducer = new Lucene90DocValuesProducer( + state, + dataCodec, + dataExtension, + metaCodec, + metaExtension, + skipIndexCodec, + skipIndexExtension + ); } public DocValuesProducer getLucene90DocValuesProducer() { diff --git a/server/src/main/java/org/apache/lucene/index/SortedSetDocValuesWriterWrapper.java b/server/src/main/java/org/apache/lucene/index/SortedSetDocValuesWriterWrapper.java index 95aa242535e48..6b02e2456a63a 100644 --- a/server/src/main/java/org/apache/lucene/index/SortedSetDocValuesWriterWrapper.java +++ b/server/src/main/java/org/apache/lucene/index/SortedSetDocValuesWriterWrapper.java @@ -33,7 +33,12 @@ public class SortedSetDocValuesWriterWrapper implements DocValuesWriterWrapper= 0 && start < length() : "start=" + start + " numBits=" + length(); + assert upperBound >= start && upperBound <= length() : "upperBound=" + upperBound + " numBits=" + length(); + + for (int i = start; i < upperBound; i++) { + if (get(i) == false) { + return i; + } + } + return DocIdSetIterator.NO_MORE_DOCS; + } } diff --git a/server/src/test/java/org/opensearch/index/compositeindex/datacube/startree/builder/StarTreeBuilderTestCase.java b/server/src/test/java/org/opensearch/index/compositeindex/datacube/startree/builder/StarTreeBuilderTestCase.java index 5c96cf8333485..91c5149018f37 100644 --- a/server/src/test/java/org/opensearch/index/compositeindex/datacube/startree/builder/StarTreeBuilderTestCase.java +++ b/server/src/test/java/org/opensearch/index/compositeindex/datacube/startree/builder/StarTreeBuilderTestCase.java @@ -166,7 +166,7 @@ public void setup() throws IOException { } writeState = getWriteState(5, UUID.randomUUID().toString().substring(0, 16).getBytes(StandardCharsets.UTF_8)); - mergeState = new MergeState(null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, false); + mergeState = new MergeState(null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, false, null); dataFileName = IndexFileNames.segmentFileName( writeState.segmentInfo.name, diff --git a/server/src/test/java/org/opensearch/lucene/util/CombinedBitSetTests.java b/server/src/test/java/org/opensearch/lucene/util/CombinedBitSetTests.java index 7b5b9cec41b09..9219adf6162a9 100644 --- a/server/src/test/java/org/opensearch/lucene/util/CombinedBitSetTests.java +++ b/server/src/test/java/org/opensearch/lucene/util/CombinedBitSetTests.java @@ -79,6 +79,7 @@ private void testCase(int numBits, float percent1, float percent2) { for (int i = 0; i < numBits; ++i) { assertEquals(expected.nextSetBit(i), actual.nextSetBit(i)); assertEquals(Integer.toString(i), expected.prevSetBit(i), actual.prevSetBit(i)); + assertEquals(Integer.toString(i), expected.nextClearBit(i, numBits), actual.nextClearBit(i, numBits)); } } diff --git a/test/framework/licenses/lucene-codecs-10.4.0.jar.sha1 b/test/framework/licenses/lucene-codecs-10.4.0.jar.sha1 deleted file mode 100644 index 8b573c09b0a4c..0000000000000 --- a/test/framework/licenses/lucene-codecs-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -426ad64f5810e04a533f335aaeca4bbca3c746e1 \ No newline at end of file diff --git a/test/framework/licenses/lucene-codecs-10.5.0.jar.sha1 b/test/framework/licenses/lucene-codecs-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..2409ee3ff1a8f --- /dev/null +++ b/test/framework/licenses/lucene-codecs-10.5.0.jar.sha1 @@ -0,0 +1 @@ +d128c42988203efb7c3a2c7fb8beb788cb578dae \ No newline at end of file diff --git a/test/framework/licenses/lucene-test-framework-10.4.0.jar.sha1 b/test/framework/licenses/lucene-test-framework-10.4.0.jar.sha1 deleted file mode 100644 index 8ba10fe22ab60..0000000000000 --- a/test/framework/licenses/lucene-test-framework-10.4.0.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -2120a695bcd5c88882289bc77ed2b65d36469521 \ No newline at end of file diff --git a/test/framework/licenses/lucene-test-framework-10.5.0.jar.sha1 b/test/framework/licenses/lucene-test-framework-10.5.0.jar.sha1 new file mode 100644 index 0000000000000..891942e6fa1ec --- /dev/null +++ b/test/framework/licenses/lucene-test-framework-10.5.0.jar.sha1 @@ -0,0 +1 @@ +fbca09b1ae940d26b6c3a90befecda40d5f1c3c2 \ No newline at end of file From 64622dce9d75650cc9edfdc4051f5ad66dbf814d Mon Sep 17 00:00:00 2001 From: Andrew Ross Date: Mon, 29 Jun 2026 15:04:46 -0500 Subject: [PATCH 66/94] Remove Thread#stop from forbidden APIs (#22330) Thread#stop has been removed in JDK-26 and forbidden APIs fails if attempting to build with that version unless this is removed. Signed-off-by: Andrew Ross --- buildSrc/src/main/resources/forbidden/jdk-signatures.txt | 5 ----- 1 file changed, 5 deletions(-) diff --git a/buildSrc/src/main/resources/forbidden/jdk-signatures.txt b/buildSrc/src/main/resources/forbidden/jdk-signatures.txt index b2fd479dce5ff..d63982d70c516 100644 --- a/buildSrc/src/main/resources/forbidden/jdk-signatures.txt +++ b/buildSrc/src/main/resources/forbidden/jdk-signatures.txt @@ -86,11 +86,6 @@ java.lang.reflect.AccessibleObject#setAccessible(java.lang.reflect.AccessibleObj @defaultMessage this method needs special permission java.lang.Thread#getAllStackTraces() -@defaultMessage Stopping threads explicitly leads to inconsistent states. Use interrupt() instead. -java.lang.Thread#stop() -# uncomment when https://github.com/elastic/elasticsearch/issues/31715 is fixed -# java.lang.Thread#stop(java.lang.Throwable) - @defaultMessage Please do not terminate the application java.lang.System#exit(int) java.lang.Runtime#exit(int) From 319d78ae2e9b673ad129fb3d0827b81f85c1e01b Mon Sep 17 00:00:00 2001 From: Lucas Kruger <88447897+krugerLucas@users.noreply.github.com> Date: Mon, 29 Jun 2026 19:18:27 -0300 Subject: [PATCH 67/94] Fix default replica count from node settings (#22334) Signed-off-by: Lucas Kruger <88447897+krugerLucas@users.noreply.github.com> --- ...DefaultReplicaCountWithNodeSettingsIT.java | 52 ++++++ .../metadata/MetadataCreateIndexService.java | 4 +- .../MetadataCreateIndexServiceTests.java | 159 ++++++++++++++++++ 3 files changed, 213 insertions(+), 2 deletions(-) create mode 100644 server/src/internalClusterTest/java/org/opensearch/action/admin/indices/create/CreateIndexDefaultReplicaCountWithNodeSettingsIT.java diff --git a/server/src/internalClusterTest/java/org/opensearch/action/admin/indices/create/CreateIndexDefaultReplicaCountWithNodeSettingsIT.java b/server/src/internalClusterTest/java/org/opensearch/action/admin/indices/create/CreateIndexDefaultReplicaCountWithNodeSettingsIT.java new file mode 100644 index 0000000000000..9260b8cd23972 --- /dev/null +++ b/server/src/internalClusterTest/java/org/opensearch/action/admin/indices/create/CreateIndexDefaultReplicaCountWithNodeSettingsIT.java @@ -0,0 +1,52 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.admin.indices.create; + +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.cluster.metadata.Metadata; +import org.opensearch.common.settings.Settings; +import org.opensearch.test.OpenSearchIntegTestCase; +import org.opensearch.test.OpenSearchIntegTestCase.ClusterScope; +import org.opensearch.test.OpenSearchIntegTestCase.Scope; + +import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertAcked; +import static org.hamcrest.Matchers.equalTo; + +@ClusterScope(scope = Scope.TEST) +public class CreateIndexDefaultReplicaCountWithNodeSettingsIT extends OpenSearchIntegTestCase { + + private static final String INDEX_NAME = "test-index"; + private static final int DEFAULT_NUMBER_OF_REPLICAS = 0; + + @Override + protected Settings nodeSettings(int nodeOrdinal) { + return Settings.builder() + .put(super.nodeSettings(nodeOrdinal)) + .put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), DEFAULT_NUMBER_OF_REPLICAS) + .build(); + } + + @Override + protected void randomIndexTemplate() { + // The base template sets index.number_of_replicas and would override the cluster-level default verified here. + } + + public void testCreateIndexUsesDefaultNumberOfReplicasFromNodeSettings() { + assertAcked( + client().admin() + .indices() + .prepareCreate(INDEX_NAME) + .setSettings(Settings.builder().put(IndexMetadata.INDEX_NUMBER_OF_SHARDS_SETTING.getKey(), 1)) + .get() + ); + + Settings indexSettings = client().admin().indices().prepareGetSettings(INDEX_NAME).get().getIndexToSettings().get(INDEX_NAME); + assertThat(indexSettings.getAsInt(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, null), equalTo(DEFAULT_NUMBER_OF_REPLICAS)); + } +} diff --git a/server/src/main/java/org/opensearch/cluster/metadata/MetadataCreateIndexService.java b/server/src/main/java/org/opensearch/cluster/metadata/MetadataCreateIndexService.java index 6e05f2318ca74..96d0fc056bc1e 100644 --- a/server/src/main/java/org/opensearch/cluster/metadata/MetadataCreateIndexService.java +++ b/server/src/main/java/org/opensearch/cluster/metadata/MetadataCreateIndexService.java @@ -1213,7 +1213,7 @@ static Settings aggregateIndexSettings( } if (INDEX_NUMBER_OF_REPLICAS_SETTING.exists(indexSettingsBuilder) == false || indexSettingsBuilder.get(SETTING_NUMBER_OF_REPLICAS) == null) { - indexSettingsBuilder.put(SETTING_NUMBER_OF_REPLICAS, DEFAULT_REPLICA_COUNT_SETTING.get(currentState.metadata().settings())); + indexSettingsBuilder.put(SETTING_NUMBER_OF_REPLICAS, clusterSettings.get(DEFAULT_REPLICA_COUNT_SETTING)); } if (settings.get(SETTING_AUTO_EXPAND_REPLICAS) != null && indexSettingsBuilder.get(SETTING_AUTO_EXPAND_REPLICAS) == null) { indexSettingsBuilder.put(SETTING_AUTO_EXPAND_REPLICAS, settings.get(SETTING_AUTO_EXPAND_REPLICAS)); @@ -1777,7 +1777,7 @@ List getIndexSettingsValidationErrors( // Apply aware replica balance validation only to non system indices int replicaCount = settings.getAsInt( IndexMetadata.SETTING_NUMBER_OF_REPLICAS, - DEFAULT_REPLICA_COUNT_SETTING.get(this.clusterService.state().metadata().settings()) + clusterService.getClusterSettings().get(DEFAULT_REPLICA_COUNT_SETTING) ); int searchReplicaCount = settings.getAsInt(SETTING_NUMBER_OF_SEARCH_REPLICAS, 0); AutoExpandReplicas autoExpandReplica = AutoExpandReplicas.SETTING.get(settings); diff --git a/server/src/test/java/org/opensearch/cluster/metadata/MetadataCreateIndexServiceTests.java b/server/src/test/java/org/opensearch/cluster/metadata/MetadataCreateIndexServiceTests.java index 2bebcd33ac59c..d48e1f40a52b6 100644 --- a/server/src/test/java/org/opensearch/cluster/metadata/MetadataCreateIndexServiceTests.java +++ b/server/src/test/java/org/opensearch/cluster/metadata/MetadataCreateIndexServiceTests.java @@ -985,6 +985,7 @@ public void testDefaultSettings() { ); assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_SHARDS), equalTo("1")); + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("1")); } public void testSettingsFromClusterState() { @@ -1003,6 +1004,118 @@ public void testSettingsFromClusterState() { assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_SHARDS), equalTo("15")); } + public void testDefaultNumberOfReplicasUsesNodeSetting() { + Settings nodeSettings = Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 0).build(); + ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + + Settings aggregatedIndexSettings = aggregateIndexSettings( + ClusterState.EMPTY_STATE, + request, + Settings.EMPTY, + null, + nodeSettings, + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + randomShardLimitService(), + Collections.emptySet(), + clusterSettings + ); + + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("0")); + } + + public void testDefaultNumberOfReplicasUsesPersistentSettingOverNodeSetting() { + Settings nodeSettings = Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 0).build(); + ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + Metadata metadata = Metadata.builder() + .persistentSettings(Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 2).build()) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .build(); + clusterSettings.applySettings(clusterState.metadata().settings()); + + Settings aggregatedIndexSettings = aggregateIndexSettings( + clusterState, + request, + Settings.EMPTY, + null, + nodeSettings, + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + randomShardLimitService(), + Collections.emptySet(), + clusterSettings + ); + + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("2")); + } + + public void testDefaultNumberOfReplicasUsesTransientSettingOverPersistentAndNodeSettings() { + Settings nodeSettings = Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 0).build(); + ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + Metadata metadata = Metadata.builder() + .persistentSettings(Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 2).build()) + .transientSettings(Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 3).build()) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .build(); + clusterSettings.applySettings(clusterState.metadata().settings()); + + Settings aggregatedIndexSettings = aggregateIndexSettings( + clusterState, + request, + Settings.EMPTY, + null, + nodeSettings, + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + randomShardLimitService(), + Collections.emptySet(), + clusterSettings + ); + + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("3")); + } + + public void testExplicitNumberOfReplicasOverridesClusterDefault() { + Settings nodeSettings = Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 0).build(); + ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + request.settings(Settings.builder().put(SETTING_NUMBER_OF_REPLICAS, 4).build()); + + Settings aggregatedIndexSettings = aggregateIndexSettings( + ClusterState.EMPTY_STATE, + request, + Settings.EMPTY, + null, + nodeSettings, + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + randomShardLimitService(), + Collections.emptySet(), + clusterSettings + ); + + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("4")); + } + + public void testTemplateNumberOfReplicasOverridesClusterDefault() { + Settings nodeSettings = Settings.builder().put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 0).build(); + ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + Settings templateSettings = Settings.builder().put(SETTING_NUMBER_OF_REPLICAS, 2).build(); + + Settings aggregatedIndexSettings = aggregateIndexSettings( + ClusterState.EMPTY_STATE, + request, + templateSettings, + null, + nodeSettings, + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + randomShardLimitService(), + Collections.emptySet(), + clusterSettings + ); + + assertThat(aggregatedIndexSettings.get(SETTING_NUMBER_OF_REPLICAS), equalTo("2")); + } + public void testTemplateOrder() throws Exception { List templates = new ArrayList<>(3); templates.add( @@ -1278,6 +1391,51 @@ public void testValidateIndexSettings() { threadPool.shutdown(); } + public void testValidateIndexSettingsUsesDefaultNumberOfReplicasFromClusterSettings() { + ClusterService clusterService = mock(ClusterService.class); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(Metadata.builder().build()) + .build(); + + ThreadPool threadPool = new TestThreadPool(getTestName()); + Settings settings = Settings.builder() + .put(AwarenessAllocationDecider.CLUSTER_ROUTING_ALLOCATION_AWARENESS_ATTRIBUTE_SETTING.getKey(), "zone, rack") + .put(AwarenessAllocationDecider.CLUSTER_ROUTING_ALLOCATION_AWARENESS_FORCE_GROUP_SETTING.getKey() + "zone.values", "a, b") + .put(AwarenessAllocationDecider.CLUSTER_ROUTING_ALLOCATION_AWARENESS_FORCE_GROUP_SETTING.getKey() + "rack.values", "c, d, e") + .put(AwarenessReplicaBalance.CLUSTER_ROUTING_ALLOCATION_AWARENESS_BALANCE_SETTING.getKey(), true) + .put(Metadata.DEFAULT_REPLICA_COUNT_SETTING.getKey(), 2) + .build(); + ClusterSettings clusterSettings = new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + when(clusterService.getSettings()).thenReturn(settings); + when(clusterService.getClusterSettings()).thenReturn(clusterSettings); + when(clusterService.state()).thenReturn(clusterState); + + MetadataCreateIndexService checkerService = new MetadataCreateIndexService( + settings, + clusterService, + indicesServices, + null, + null, + createTestShardLimitService(randomIntBetween(1, 1000), false, clusterService), + new Environment(Settings.builder().put("path.home", "dummy").build(), null), + IndexScopedSettings.DEFAULT_SCOPED_SETTINGS, + threadPool, + null, + new SystemIndices(Collections.emptyMap()), + true, + new AwarenessReplicaBalance(settings, clusterService.getClusterSettings()), + DefaultRemoteStoreSettings.INSTANCE, + repositoriesServiceSupplier + ); + + try { + List validationErrors = checkerService.getIndexSettingsValidationErrors(settings, false, Optional.empty()); + assertThat(validationErrors.size(), is(0)); + } finally { + threadPool.shutdown(); + } + } + public void testIndexTemplateReplicationType() { Settings templateSettings = Settings.builder().put(INDEX_REPLICATION_TYPE_SETTING.getKey(), ReplicationType.SEGMENT).build(); @@ -2683,6 +2841,7 @@ public void testAggregateIndexSettingsIndexReplicaIsSetToNull() { .build(); Settings settings = Settings.builder().put(CLUSTER_REMOTE_INDEX_RESTRICT_ASYNC_DURABILITY_SETTING.getKey(), true).build(); clusterSettings = new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + clusterSettings.applySettings(clusterState.metadata().settings()); Settings aggregatedSettings = aggregateIndexSettings( clusterState, request, From f4518de69b957d24f9e165506d9b717e86b8c506 Mon Sep 17 00:00:00 2001 From: Rishabh Singh Date: Tue, 30 Jun 2026 13:43:42 -0700 Subject: [PATCH 68/94] update benchmark configs to restore indeices from 10.5.0 snapshots (#22357) Signed-off-by: Rishabh Singh --- .github/benchmark-configs.json | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/benchmark-configs.json b/.github/benchmark-configs.json index d7c6578c8bc6f..0fdce0d5c2e0c 100644 --- a/.github/benchmark-configs.json +++ b/.github/benchmark-configs.json @@ -41,7 +41,7 @@ "SINGLE_NODE_CLUSTER": "true", "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "big5", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"big5_1_shard_single_client\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"big5_1_shard_single_client\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -91,7 +91,7 @@ "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "big5", "ADDITIONAL_CONFIG": "search.concurrent_segment_search.enabled:true", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"big5_1_shard_single_client\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"big5_1_shard_single_client\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -109,7 +109,7 @@ "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "big5", "ADDITIONAL_CONFIG": "search.concurrent_segment_search.mode:all", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"big5_1_shard_single_client\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"big5_1_shard_single_client\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -127,7 +127,7 @@ "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "big5", "ADDITIONAL_CONFIG": "search.concurrent_segment_search.mode:auto", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"big5_1_shard_single_client\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"big5_1_shard_single_client\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -145,7 +145,7 @@ "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "big5", "ADDITIONAL_CONFIG": "opensearch.experimental.feature.approximate_point_range_query.enabled:true", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"big5_1_shard_single_client\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"big5_1_shard_single_client\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -178,7 +178,7 @@ "SINGLE_NODE_CLUSTER": "true", "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "http_logs", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.1\",\"snapshot_name\":\"http_logs_1_shard\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"http_logs_1_shard\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -195,7 +195,7 @@ "SINGLE_NODE_CLUSTER": "true", "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "nyc_taxis", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"nyc_taxis_1_shard\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"nyc_taxis_1_shard\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "restore-from-snapshot" }, @@ -231,7 +231,7 @@ "MIN_DISTRIBUTION": "true", "TEST_WORKLOAD": "http_logs", "ADDITIONAL_CONFIG": "search.concurrent_segment_search.mode:auto", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"http_logs_1_shard\"}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"http_logs_1_shard\"}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "intra-segment" }, @@ -267,7 +267,7 @@ "MIN_DISTRIBUTION": "true", "DATA_INSTANCE_TYPE": "c5.2xlarge", "TEST_WORKLOAD": "clickbench", - "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.3.2\",\"snapshot_name\":\"clickbench_3_shards\",\"warmup_iterations\":10,\"test_iterations\":20}", + "WORKLOAD_PARAMS": "{\"snapshot_repo_name\":\"benchmark-workloads-repo-3x\",\"snapshot_bucket_name\":\"benchmark-workload-snapshots\",\"snapshot_region\":\"us-east-1\",\"snapshot_base_path\":\"10.5.0\",\"snapshot_name\":\"clickbench_3_shards\",\"warmup_iterations\":10,\"test_iterations\":20}", "CAPTURE_NODE_STAT": "true", "TEST_PROCEDURE": "dsl-clickbench-snapshot" }, From 04d1c515c206ed9fd7f4b2d1f293b5283ef423a2 Mon Sep 17 00:00:00 2001 From: Andrew Ross Date: Tue, 30 Jun 2026 17:25:22 -0500 Subject: [PATCH 69/94] Fix Flight transport response close race (#22358) The prefetch thread re-read the closed flag in a finally block that ran after it completed the open future. A close() arriving in that window double-closed the Flight stream, which intermittently failed FlightTransportResponseTests and, when the stream's close threw, surfaced an uncaught exception on the virtual thread that in turn failed unrelated neighbor tests in the same class. Perform the closed check synchronously right after the stream is published and before the future completes, so any later close() always observes the stream and owns the close. Guard the physical FlightStream.close() with an AtomicBoolean so it is invoked at most once even when two close() calls race. Signed-off-by: Andrew Ross --- .../transport/FlightTransportResponse.java | 30 ++++++++++++------- .../FlightTransportResponseTests.java | 12 ++++---- 2 files changed, 25 insertions(+), 17 deletions(-) diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java index 80f80855ed415..1b08222a4ef9c 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportResponse.java @@ -29,6 +29,7 @@ import java.io.IOException; import java.util.Objects; import java.util.concurrent.CompletableFuture; +import java.util.concurrent.atomic.AtomicBoolean; import static org.opensearch.arrow.flight.transport.ClientHeaderMiddleware.CORRELATION_ID_KEY; @@ -53,6 +54,7 @@ class FlightTransportResponse implements StreamTran private volatile long currentBatchSize; private volatile boolean firstBatchConsumed; private volatile boolean closed; + private final AtomicBoolean streamClosed = new AtomicBoolean(false); private volatile boolean prefetchStarted; private volatile Header initialHeader; @@ -93,6 +95,22 @@ void openAndPrefetchAsync(CompletableFuture
      future) { try { long start = System.nanoTime(); flightStream = flightClient.getStream(ticket, new HeaderCallOption(callHeaders)); + // close() may have run while we were inside getStream() and missed the stream because + // flightStream was still null. Now that it is published, re-check the flag: if a close() + // already happened, self-close the stream we just opened so the prefetched first-batch + // root is not stranded, then abort. This check is performed *before* future.complete(), + // so once the future completes, any subsequent close() always observes flightStream != null + // and owns the close itself. There is no post-completion window in which both this thread + // and a racing close() could close the same stream. + if (closed) { + try { + closeStreamQuietly(); + } catch (StreamException e) { + logger.warn("Error closing flight stream after close() raced the prefetch", e); + } + future.completeExceptionally(new StreamException(StreamErrorCode.UNAVAILABLE, "Stream is closed")); + return; + } long elapsedMs = (System.nanoTime() - start) / 1_000_000; logger.debug("FlightClient.getStream() for correlationId: {} took {}ms", correlationId, elapsedMs); start = System.nanoTime(); @@ -105,13 +123,6 @@ void openAndPrefetchAsync(CompletableFuture
      future) { future.completeExceptionally(FlightErrorMapper.fromFlightException(e)); } catch (Exception e) { future.completeExceptionally(new StreamException(StreamErrorCode.INTERNAL, "Stream open/prefetch failed", e)); - } finally { - // If close() ran while we were opening/prefetching, it may have missed the stream - // we just published. Re-close here so the prefetched first-batch root is released - // (FlightStream.close() is idempotent). - if (closed) { - closeStreamQuietly(); - } } }); } @@ -194,16 +205,13 @@ public void cancel(String reason, Throwable cause) { @Override public void close() { if (closed) return; - // Set closed=true before closing so a prefetch still in flight re-checks it and self-closes - // the stream it publishes (covers close() racing ahead of flightStream being set). closed = true; closeStreamQuietly(); } - /** Closes the flight stream if present, swallowing the benign already-closed error. Idempotent. */ private void closeStreamQuietly() { FlightStream stream = flightStream; - if (stream != null) { + if (stream != null && streamClosed.compareAndSet(false, true)) { try { stream.close(); } catch (IllegalStateException ignore) {} catch (Exception e) { diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java index 9efae24b49f4a..1de82736079a3 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportResponseTests.java @@ -95,15 +95,15 @@ public void testCloseClosesPublishedStream() throws Exception { future.get(5, TimeUnit.SECONDS); // prefetch finished → flightStream published response.close(); - // close() ran after publish; the finally in the prefetch saw closed=false, so close() owns the close. + // close() ran after publish; the prefetch had already passed its closed-check, so close() owns the close. verify(stream, timeout(5_000).atLeastOnce()).close(); } /** * The race the fix targets: close() runs while the prefetch thread is still inside getStream(), * so close() sees flightStream==null and closes nothing. When the prefetch then publishes the - * stream, its finally block must self-close it (closed already true) so the first-batch root is - * not stranded on the client allocator. + * stream, its synchronous closed-check must self-close it (closed already true) so the first-batch + * root is not stranded on the client allocator. */ public void testCloseDuringPrefetchSelfClosesStream() throws Exception { FlightStream stream = mock(FlightStream.class); @@ -127,7 +127,7 @@ public void testCloseDuringPrefetchSelfClosesStream() throws Exception { response.close(); // sees flightStream==null → closes nothing itself verify(stream, never()).close(); - // Let the prefetch publish the stream; its finally must self-close it. + // Let the prefetch publish the stream; its closed-check must self-close it. proceed.countDown(); verify(stream, timeout(5_000)).close(); } @@ -156,7 +156,8 @@ public void testCloseIsIdempotent() throws Exception { response.close(); response.close(); response.close(); - // The prefetch finally saw closed=false (publish happened first), so only the first close() closes. + // The prefetch passed its closed-check before publishing the future, so it never self-closes; + // only the first close() closes the stream and the later calls short-circuit. verify(stream, times(1)).close(); } @@ -177,7 +178,6 @@ public void testCloseSwallowsAlreadyClosedError() throws Exception { } /** An unexpected error from the stream is wrapped as a StreamException. */ - @AwaitsFix(bugUrl = "https://github.com/opensearch-project/OpenSearch/issues/22249") public void testCloseRethrowsUnexpectedErrorAsStreamException() throws Exception { FlightClient client = mock(FlightClient.class); FlightStream stream = mock(FlightStream.class); From 1e31adf1a2a11e01ed693ba1fae182a0507808c6 Mon Sep 17 00:00:00 2001 From: Finn Date: Tue, 30 Jun 2026 16:11:58 -0700 Subject: [PATCH 70/94] Always record planning time in stats collector (#22361) planningTimeMs was gated behind the profile flag, so it was always 0 for non-profiled queries. The AnalyticsStatsCollector only recorded accurate planning time when profile=true was explicitly set. Remove the profile ternary so planning time is always computed and passed to recordExecution, enabling the stats endpoint to report accurate planning latency for all queries. Signed-off-by: Finn Carroll --- .../java/org/opensearch/analytics/exec/DefaultPlanExecutor.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java index c48fd3b701d39..51a66fe48f04a 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/exec/DefaultPlanExecutor.java @@ -271,7 +271,7 @@ private void executeInternal( PlanAlternativeSelector.selectAll(dag, capabilityRegistry, preferMetadataDriver); FragmentConversionDriver.convertAll(dag, capabilityRegistry); final long planningTimeNanos = System.nanoTime() - planStartNanos; - final long planningTimeMs = profile ? TimeUnit.NANOSECONDS.toMillis(planningTimeNanos) : 0; + final long planningTimeMs = TimeUnit.NANOSECONDS.toMillis(planningTimeNanos); logger.debug("[DefaultPlanExecutor] QueryDAG:\n{}", dag); queryListener.onPlanningComplete(dag.queryId(), planningTimeNanos); From 88d6f10faabbc006288f277297c0338f21c90308 Mon Sep 17 00:00:00 2001 From: Radhakrishnan Pachyappan Date: Wed, 1 Jul 2026 06:58:28 +0530 Subject: [PATCH 71/94] Fix OpenSearchTimeoutException to return HTTP 504 instead of 500 (#22064) * Fix OpenSearchTimeoutException to return HTTP 504 instead of 500 Signed-off-by: Radhakrishnan Pachyappan --- .../OpenSearchTimeoutException.java | 6 +++++ .../OpenSearchTimeoutExceptionTests.java | 25 +++++++++++++++++++ .../rest/BytesRestResponseTests.java | 12 +++++++++ 3 files changed, 43 insertions(+) create mode 100644 server/src/test/java/org/opensearch/OpenSearchTimeoutExceptionTests.java diff --git a/server/src/main/java/org/opensearch/OpenSearchTimeoutException.java b/server/src/main/java/org/opensearch/OpenSearchTimeoutException.java index 3b1d7086d0584..ba854b8364f0f 100644 --- a/server/src/main/java/org/opensearch/OpenSearchTimeoutException.java +++ b/server/src/main/java/org/opensearch/OpenSearchTimeoutException.java @@ -33,6 +33,7 @@ package org.opensearch; import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.rest.RestStatus; import java.io.IOException; @@ -57,4 +58,9 @@ public OpenSearchTimeoutException(String message, Object... args) { public OpenSearchTimeoutException(String message, Throwable cause, Object... args) { super(message, cause, args); } + + @Override + public RestStatus status() { + return RestStatus.GATEWAY_TIMEOUT; + } } diff --git a/server/src/test/java/org/opensearch/OpenSearchTimeoutExceptionTests.java b/server/src/test/java/org/opensearch/OpenSearchTimeoutExceptionTests.java new file mode 100644 index 0000000000000..17bf10429c4c2 --- /dev/null +++ b/server/src/test/java/org/opensearch/OpenSearchTimeoutExceptionTests.java @@ -0,0 +1,25 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch; + +import org.opensearch.core.rest.RestStatus; +import org.opensearch.test.OpenSearchTestCase; + +public class OpenSearchTimeoutExceptionTests extends OpenSearchTestCase { + + public void testStatusIsGatewayTimeout() { + OpenSearchTimeoutException e = new OpenSearchTimeoutException("request timed out"); + assertEquals(RestStatus.GATEWAY_TIMEOUT, e.status()); + } + + public void testStatusIsGatewayTimeoutWithCause() { + OpenSearchTimeoutException e = new OpenSearchTimeoutException(new RuntimeException("cause")); + assertEquals(RestStatus.GATEWAY_TIMEOUT, e.status()); + } +} diff --git a/server/src/test/java/org/opensearch/rest/BytesRestResponseTests.java b/server/src/test/java/org/opensearch/rest/BytesRestResponseTests.java index ac81f45d5cf0e..3651d42214d83 100644 --- a/server/src/test/java/org/opensearch/rest/BytesRestResponseTests.java +++ b/server/src/test/java/org/opensearch/rest/BytesRestResponseTests.java @@ -35,6 +35,7 @@ import org.opensearch.ExceptionsHelper; import org.opensearch.OpenSearchException; import org.opensearch.OpenSearchStatusException; +import org.opensearch.OpenSearchTimeoutException; import org.opensearch.ResourceAlreadyExistsException; import org.opensearch.ResourceNotFoundException; import org.opensearch.action.OriginalIndices; @@ -248,6 +249,17 @@ public void testResponseWhenInternalServerError() throws IOException { assertThat(content, containsString("\"status\":" + 500)); } + public void testResponseWhenTimeoutException() throws IOException { + final RestRequest request = new FakeRestRequest(); + final RestChannel channel = new DetailedExceptionRestChannel(request); + final BytesRestResponse response = new BytesRestResponse(channel, new OpenSearchTimeoutException("simulated timeout")); + assertEquals(RestStatus.GATEWAY_TIMEOUT, response.status()); + assertNotNull(response.content()); + final String content = response.content().utf8ToString(); + assertThat(content, containsString("\"reason\":\"simulated timeout\"")); + assertThat(content, containsString("\"status\":" + 504)); + } + public void testErrorToAndFromXContent() throws IOException { final boolean detailed = randomBoolean(); From 95ece9bad72ac507f654c94209bd08e9c6fd9d47 Mon Sep 17 00:00:00 2001 From: Craig Perkins Date: Wed, 1 Jul 2026 00:04:03 -0400 Subject: [PATCH 72/94] Bump hadoop from 3.4.2 to 3.5.0 (#22362) Upgrades Apache Hadoop from 3.4.2 to 3.5.0 to resolve transitive dependency on org.eclipse.jetty/jetty-http 9.4.58.v20250814 which contains CVE-2026-2332. Also updates the thirdPartyAudit exclusion list: - Remove exclusions for classes that no longer have violations in 3.5.0 - Add exclusion for renamed AbstractFutureState$UnsafeAtomicHelper class Signed-off-by: Craig Perkins --- gradle/libs.versions.toml | 2 +- plugins/repository-hdfs/build.gradle | 24 ++----------------- .../licenses/hadoop-client-api-3.4.2.jar.sha1 | 1 - .../licenses/hadoop-client-api-3.5.0.jar.sha1 | 1 + .../hadoop-client-runtime-3.4.2.jar.sha1 | 1 - .../hadoop-client-runtime-3.5.0.jar.sha1 | 1 + .../licenses/hadoop-hdfs-3.4.2.jar.sha1 | 1 - .../licenses/hadoop-hdfs-3.5.0.jar.sha1 | 1 + 8 files changed, 6 insertions(+), 26 deletions(-) delete mode 100644 plugins/repository-hdfs/licenses/hadoop-client-api-3.4.2.jar.sha1 create mode 100644 plugins/repository-hdfs/licenses/hadoop-client-api-3.5.0.jar.sha1 delete mode 100644 plugins/repository-hdfs/licenses/hadoop-client-runtime-3.4.2.jar.sha1 create mode 100644 plugins/repository-hdfs/licenses/hadoop-client-runtime-3.5.0.jar.sha1 delete mode 100644 plugins/repository-hdfs/licenses/hadoop-hdfs-3.4.2.jar.sha1 create mode 100644 plugins/repository-hdfs/licenses/hadoop-hdfs-3.5.0.jar.sha1 diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml index 4c0a8e873ce3f..7ad3cda2e8588 100644 --- a/gradle/libs.versions.toml +++ b/gradle/libs.versions.toml @@ -64,7 +64,7 @@ commonscollections4 = "4.5.0" aws = "2.32.29" awscrt = "0.35.0" reactivestreams = "1.0.4" -hadoop3 = "3.4.2" +hadoop3 = "3.5.0" # when updating this version, you need to ensure compatibility with: # - plugins/ingest-attachment (transitive dependency, check the upstream POM) diff --git a/plugins/repository-hdfs/build.gradle b/plugins/repository-hdfs/build.gradle index 715b4faed9417..deba95792d827 100644 --- a/plugins/repository-hdfs/build.gradle +++ b/plugins/repository-hdfs/build.gradle @@ -349,12 +349,9 @@ thirdPartyAudit { 'org.apache.hadoop.hdfs.shortcircuit.ShortCircuitShm$Slot', // internal java api: sun.misc.SignalHandler - 'org.apache.hadoop.util.SignalLogger$Handler', 'org.apache.hadoop.hdfs.server.datanode.checker.AbstractFuture$UnsafeAtomicHelper', 'org.apache.hadoop.hdfs.server.datanode.checker.AbstractFuture$UnsafeAtomicHelper$1', - 'org.apache.hadoop.service.launcher.InterruptEscalator', - 'org.apache.hadoop.service.launcher.IrqHandler', 'com.google.common.cache.Striped64', 'com.google.common.cache.Striped64$1', @@ -368,19 +365,11 @@ thirdPartyAudit { 'com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper', 'com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper$1', - 'org.apache.hadoop.thirdparty.com.google.common.cache.Striped64', - 'org.apache.hadoop.thirdparty.com.google.common.cache.Striped64$1', - 'org.apache.hadoop.thirdparty.com.google.common.cache.Striped64$Cell', 'org.apache.hadoop.thirdparty.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray', 'org.apache.hadoop.thirdparty.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray$1', 'org.apache.hadoop.thirdparty.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray$2', - 'org.apache.hadoop.thirdparty.com.google.common.hash.Striped64', - 'org.apache.hadoop.thirdparty.com.google.common.hash.Striped64$1', - 'org.apache.hadoop.thirdparty.com.google.common.hash.Striped64$Cell', 'org.apache.hadoop.thirdparty.com.google.common.primitives.UnsignedBytes$LexicographicalComparatorHolder$UnsafeComparator', - 'org.apache.hadoop.thirdparty.com.google.common.primitives.UnsignedBytes$LexicographicalComparatorHolder$UnsafeComparator$1', - 'org.apache.hadoop.thirdparty.com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper', - 'org.apache.hadoop.thirdparty.com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper$1', + 'org.apache.hadoop.thirdparty.com.google.common.util.concurrent.AbstractFutureState$UnsafeAtomicHelper', 'org.apache.hadoop.thirdparty.protobuf.UnsafeUtil', 'org.apache.hadoop.thirdparty.protobuf.UnsafeUtil$1', 'org.apache.hadoop.thirdparty.protobuf.UnsafeUtil$JvmMemoryAccessor', @@ -388,20 +377,11 @@ thirdPartyAudit { 'org.apache.hadoop.thirdparty.protobuf.MessageSchema', 'org.apache.hadoop.thirdparty.protobuf.UnsafeUtil$Android32MemoryAccessor', 'org.apache.hadoop.thirdparty.protobuf.UnsafeUtil$Android64MemoryAccessor', - 'org.apache.hadoop.shaded.com.google.common.cache.Striped64', - 'org.apache.hadoop.shaded.com.google.common.cache.Striped64$1', - 'org.apache.hadoop.shaded.com.google.common.cache.Striped64$Cell', 'org.apache.hadoop.shaded.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray', 'org.apache.hadoop.shaded.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray$1', 'org.apache.hadoop.shaded.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray$2', - 'org.apache.hadoop.shaded.com.google.common.hash.LittleEndianByteArray$UnsafeByteArray$3', - 'org.apache.hadoop.shaded.com.google.common.hash.Striped64', - 'org.apache.hadoop.shaded.com.google.common.hash.Striped64$1', - 'org.apache.hadoop.shaded.com.google.common.hash.Striped64$Cell', 'org.apache.hadoop.shaded.com.google.common.primitives.UnsignedBytes$LexicographicalComparatorHolder$UnsafeComparator', - 'org.apache.hadoop.shaded.com.google.common.primitives.UnsignedBytes$LexicographicalComparatorHolder$UnsafeComparator$1', - 'org.apache.hadoop.shaded.com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper', - 'org.apache.hadoop.shaded.com.google.common.util.concurrent.AbstractFuture$UnsafeAtomicHelper$1', + 'org.apache.hadoop.shaded.com.google.common.util.concurrent.AbstractFutureState$UnsafeAtomicHelper', 'org.apache.hadoop.shaded.org.apache.avro.reflect.FieldAccessUnsafe', 'org.apache.hadoop.shaded.org.apache.avro.reflect.FieldAccessUnsafe$UnsafeBooleanField', 'org.apache.hadoop.shaded.org.apache.avro.reflect.FieldAccessUnsafe$UnsafeByteField', diff --git a/plugins/repository-hdfs/licenses/hadoop-client-api-3.4.2.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-client-api-3.4.2.jar.sha1 deleted file mode 100644 index c426a8f969c13..0000000000000 --- a/plugins/repository-hdfs/licenses/hadoop-client-api-3.4.2.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -d49afafdccb52bddde866ea0f341e6b31edc97fe \ No newline at end of file diff --git a/plugins/repository-hdfs/licenses/hadoop-client-api-3.5.0.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-client-api-3.5.0.jar.sha1 new file mode 100644 index 0000000000000..bd82dee374b2e --- /dev/null +++ b/plugins/repository-hdfs/licenses/hadoop-client-api-3.5.0.jar.sha1 @@ -0,0 +1 @@ +ea75bd5b918d328e1255ec6e2db2955f2c3f55f0 \ No newline at end of file diff --git a/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.4.2.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.4.2.jar.sha1 deleted file mode 100644 index 39180a3bb4114..0000000000000 --- a/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.4.2.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -3e9508f154ac9f085f3f0400c696175dce771d2d \ No newline at end of file diff --git a/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.5.0.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.5.0.jar.sha1 new file mode 100644 index 0000000000000..2d4c55e326e0e --- /dev/null +++ b/plugins/repository-hdfs/licenses/hadoop-client-runtime-3.5.0.jar.sha1 @@ -0,0 +1 @@ +f4e41b696b6e49be562df9df78f1e67659951870 \ No newline at end of file diff --git a/plugins/repository-hdfs/licenses/hadoop-hdfs-3.4.2.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-hdfs-3.4.2.jar.sha1 deleted file mode 100644 index ac9494c186654..0000000000000 --- a/plugins/repository-hdfs/licenses/hadoop-hdfs-3.4.2.jar.sha1 +++ /dev/null @@ -1 +0,0 @@ -850d93a5a566ff19f3d77e67cb79c0de28d3ab78 \ No newline at end of file diff --git a/plugins/repository-hdfs/licenses/hadoop-hdfs-3.5.0.jar.sha1 b/plugins/repository-hdfs/licenses/hadoop-hdfs-3.5.0.jar.sha1 new file mode 100644 index 0000000000000..9d1715ff9d3ff --- /dev/null +++ b/plugins/repository-hdfs/licenses/hadoop-hdfs-3.5.0.jar.sha1 @@ -0,0 +1 @@ +a56a58f1df53f7dbfa920427b0bae53ba2a391eb \ No newline at end of file From 5ee8af768557f8711df89d679bb6646a6d8b30f8 Mon Sep 17 00:00:00 2001 From: Vishwas garg Date: Wed, 1 Jul 2026 16:25:26 +0530 Subject: [PATCH 73/94] Update foyer_engine from auto to psync (#22329) Signed-off-by: Vishwas Garg --- .../blockcache/foyer/FoyerBlockCacheSettings.java | 13 +++++++------ .../foyer/FoyerBlockCacheSettingsTests.java | 9 ++++++++- 2 files changed, 15 insertions(+), 7 deletions(-) diff --git a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java index 131786ff6960a..6dae9be90ed70 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java +++ b/sandbox/plugins/block-cache-foyer/src/main/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettings.java @@ -124,21 +124,22 @@ public final class FoyerBlockCacheSettings { * I/O engine for the Foyer disk tier. * *
        - *
      • {@code auto} (default) — selects io_uring on Linux ≥ 5.1, - * falls back to psync otherwise.
        • + *
      • {@code psync} (default) — synchronous pread/pwrite. Portable across + * all kernels and container sandboxes, and gives predictable + * syscall-level behaviour.
        • + *
      • {@code auto} — selects io_uring on Linux ≥ 5.1, falls back to + * psync otherwise.
        • *
      • {@code io_uring} — force io_uring regardless of kernel detection. * Fails at startup if io_uring is unavailable (e.g. blocked by seccomp * or AppArmor in locked-down container environments).
        • - *
      • {@code psync} — force synchronous pread/pwrite. Use when io_uring is - * restricted or when predictable syscall-level profiling is needed.
        • *
      * *

      Configure in {@code opensearch.yml}: * 

      {@code
-     * block_cache.foyer.io_engine: auto
+     * block_cache.foyer.io_engine: psync
      * }
      */ - public static final Setting IO_ENGINE_SETTING = new Setting<>("block_cache.foyer.io_engine", "auto", value -> { + public static final Setting IO_ENGINE_SETTING = new Setting<>("block_cache.foyer.io_engine", "psync", value -> { if (!Set.of("auto", "io_uring", "psync").contains(value)) { throw new IllegalArgumentException("[block_cache.foyer.io_engine] must be one of: auto, io_uring, psync; got: " + value); } diff --git a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java index 9dda0a2125b33..941ed6def2105 100644 --- a/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java +++ b/sandbox/plugins/block-cache-foyer/src/test/java/org/opensearch/blockcache/foyer/FoyerBlockCacheSettingsTests.java @@ -81,7 +81,14 @@ public void testCacheSizeRejectsGarbage() { // ── IO_ENGINE_SETTING ───────────────────────────────────────────────────── public void testIoEngineDefault() { - assertEquals("auto", FoyerBlockCacheSettings.IO_ENGINE_SETTING.get(Settings.EMPTY)); + assertEquals("psync", FoyerBlockCacheSettings.IO_ENGINE_SETTING.get(Settings.EMPTY)); + } + + public void testIoEngineAcceptsAuto() { + assertEquals( + "auto", + FoyerBlockCacheSettings.IO_ENGINE_SETTING.get(Settings.builder().put("block_cache.foyer.io_engine", "auto").build()) + ); } public void testIoEngineAcceptsPsync() { From 1e006efe647ca648e2946c68017811ca4fee39fd Mon Sep 17 00:00:00 2001 From: piyushk6130 Date: Wed, 1 Jul 2026 16:50:27 +0530 Subject: [PATCH 74/94] fix: Separate internal ignore settings from user ignore settings in restore (#20494) * fix: Separate internal ignore settings from user ignore settings in restore Internal ignore settings should override user-unremovable settings protection to allow proper filtering of settings like remote_store.* during cross-cluster restores. Signed-off-by: Piyush Kumar * test: Add unit tests for internal vs user ignore settings separation Add tests to verify that internal ignore patterns can filter protected settings while user ignore patterns respect protection. Also optimize the predicate to use Set.contains() instead of iteration. Signed-off-by: Piyush Kumar --------- Signed-off-by: Piyush Kumar Co-authored-by: Piyush Kumar --- .../opensearch/snapshots/RestoreService.java | 111 +++++++++++++----- .../snapshots/RestoreServiceTests.java | 32 +++++ 2 files changed, 116 insertions(+), 27 deletions(-) diff --git a/server/src/main/java/org/opensearch/snapshots/RestoreService.java b/server/src/main/java/org/opensearch/snapshots/RestoreService.java index 666e31fcd0ed6..eca658dfd0579 100644 --- a/server/src/main/java/org/opensearch/snapshots/RestoreService.java +++ b/server/src/main/java/org/opensearch/snapshots/RestoreService.java @@ -173,6 +173,78 @@ public class RestoreService implements ClusterStateApplier { USER_UNREMOVABLE_SETTINGS = unmodifiableSet(unremovable); } + /** + * Creates a settings filter predicate that separates internal ignore patterns from user ignore patterns. + * Internal ignore patterns override protection and can filter any setting. + * User ignore patterns respect protected settings and cannot filter them. + * + * @param userIgnoreSettings array of user-provided settings to ignore + * @param internalIgnoreSettings array of internal settings to ignore (override protection) + * @param protectedSettings set of settings that user cannot remove + * @return a predicate that returns true if the setting should be kept, false if it should be filtered out + */ + static Predicate createSettingsFilterPredicate( + String[] userIgnoreSettings, + String[] internalIgnoreSettings, + Set protectedSettings + ) { + Set userKeyFilters = new HashSet<>(); + List userSimpleMatchPatterns = new ArrayList<>(); + Set internalKeyFilters = new HashSet<>(); + List internalSimpleMatchPatterns = new ArrayList<>(); + + // Process user ignore settings + for (String ignoredSetting : userIgnoreSettings) { + if (!Regex.isSimpleMatchPattern(ignoredSetting)) { + userKeyFilters.add(ignoredSetting); + } else { + userSimpleMatchPatterns.add(ignoredSetting); + } + } + + // Process internal ignore settings + for (String ignoredSetting : internalIgnoreSettings) { + if (!Regex.isSimpleMatchPattern(ignoredSetting)) { + internalKeyFilters.add(ignoredSetting); + } else { + internalSimpleMatchPatterns.add(ignoredSetting); + } + } + + return k -> { + // Check internal ignore patterns first (they override protection) + if (internalKeyFilters.contains(k)) { + return false; + } + for (String pattern : internalSimpleMatchPatterns) { + if (Regex.simpleMatch(pattern, k)) { + return false; + } + } + + // Check user ignore patterns only for non-protected settings + if (!protectedSettings.contains(k)) { + if (userKeyFilters.contains(k)) { + return false; + } + for (String pattern : userSimpleMatchPatterns) { + if (Regex.simpleMatch(pattern, k)) { + return false; + } + } + } + return true; + }; + } + + /** + * Returns the set of settings that users cannot remove during restore. + * Exposed for testing purposes. + */ + static Set getUserUnremovableSettings() { + return USER_UNREMOVABLE_SETTINGS; + } + private final ClusterService clusterService; private final RepositoriesService repositoriesService; @@ -818,8 +890,7 @@ private IndexMetadata updateIndexSettings( } IndexMetadata.Builder builder = IndexMetadata.builder(indexMetadata); Settings settings = indexMetadata.getSettings(); - Set keyFilters = new HashSet<>(); - List simpleMatchPatterns = new ArrayList<>(); + for (String ignoredSetting : ignoreSettings) { if (!Regex.isSimpleMatchPattern(ignoredSetting)) { if (USER_UNREMOVABLE_SETTINGS.contains(ignoredSetting)) { @@ -832,38 +903,24 @@ private IndexMetadata updateIndexSettings( snapshot, "cannot remove UnmodifiableOnRestore setting [" + ignoredSetting + "] on restore" ); - } else { - keyFilters.add(ignoredSetting); } - } else { - simpleMatchPatterns.add(ignoredSetting); } } - // add internal settings to ignore settings list - for (String ignoredSetting : ignoreSettingsInternal) { - if (!Regex.isSimpleMatchPattern(ignoredSetting)) { - keyFilters.add(ignoredSetting); - } else { - simpleMatchPatterns.add(ignoredSetting); + // Build combined protected settings set including dynamic unmodifiable settings + Set protectedSettings = new HashSet<>(USER_UNREMOVABLE_SETTINGS); + for (String key : settings.keySet()) { + if (indexScopedSettings.isUnmodifiableOnRestoreSetting(key)) { + protectedSettings.add(key); } } - Predicate settingsFilter = k -> { - if (USER_UNREMOVABLE_SETTINGS.contains(k) == false && !indexScopedSettings.isUnmodifiableOnRestoreSetting(k)) { - for (String filterKey : keyFilters) { - if (k.equals(filterKey)) { - return false; - } - } - for (String pattern : simpleMatchPatterns) { - if (Regex.simpleMatch(pattern, k)) { - return false; - } - } - } - return true; - }; + Predicate settingsFilter = createSettingsFilterPredicate( + ignoreSettings, + ignoreSettingsInternal, + protectedSettings + ); + Settings.Builder settingsBuilder = Settings.builder() .put(settings.filter(settingsFilter)) .put(normalizedChangeSettings.filter(k -> { diff --git a/server/src/test/java/org/opensearch/snapshots/RestoreServiceTests.java b/server/src/test/java/org/opensearch/snapshots/RestoreServiceTests.java index 3629f324a62e4..219fd2589a393 100644 --- a/server/src/test/java/org/opensearch/snapshots/RestoreServiceTests.java +++ b/server/src/test/java/org/opensearch/snapshots/RestoreServiceTests.java @@ -159,4 +159,36 @@ public void testValidateReplicationTypeRestoreSettings_WhenSnapshotIsSegment_Res () -> RestoreService.validateReplicationTypeRestoreSettings(snapshot, ReplicationType.SEGMENT.toString(), indexMetadata) ); } + + // Tests for internal vs user ignore settings filter separation (PR #20494) + + public void testInternalIgnoreOverridesProtection() { + var filter = RestoreService.createSettingsFilterPredicate( + new String[] {}, + new String[] { "index.remote_store.*" }, + RestoreService.getUserUnremovableSettings() + ); + // Internal pattern can filter protected settings + assertFalse(filter.test("index.remote_store.enabled")); + } + + public void testUserIgnoreRespectsProtection() { + var filter = RestoreService.createSettingsFilterPredicate( + new String[] { "index.number_of_replicas" }, + new String[] {}, + RestoreService.getUserUnremovableSettings() + ); + // User cannot filter protected settings + assertTrue(filter.test("index.number_of_replicas")); + } + + public void testUserIgnoreWorksForNonProtected() { + var filter = RestoreService.createSettingsFilterPredicate( + new String[] { "index.custom.*" }, + new String[] {}, + RestoreService.getUserUnremovableSettings() + ); + // User can filter non-protected settings + assertFalse(filter.test("index.custom.setting")); + } } From 8d2b041bb7f2cc8ca1e3bcfec470032b57532592 Mon Sep 17 00:00:00 2001 From: Mikhail Stepura Date: Wed, 1 Jul 2026 08:25:58 -0700 Subject: [PATCH 75/94] Rollover: scope checkBlock to write index only, skipping non-write alias members (#21838) * Scope checkBlock to write index only, skipping non-write alias members Signed-off-by: Mikhail Stepura * Inline single-line method call in `checkBlock` for rollover action Signed-off-by: Mikhail Stepura --------- Signed-off-by: Mikhail Stepura --- .../rollover/TransportRolloverAction.java | 23 +- .../TransportRolloverActionTests.java | 268 ++++++++++++++++++ 2 files changed, 278 insertions(+), 13 deletions(-) diff --git a/server/src/main/java/org/opensearch/action/admin/indices/rollover/TransportRolloverAction.java b/server/src/main/java/org/opensearch/action/admin/indices/rollover/TransportRolloverAction.java index dc768df1f0c8b..e3d4c42b5ad9f 100644 --- a/server/src/main/java/org/opensearch/action/admin/indices/rollover/TransportRolloverAction.java +++ b/server/src/main/java/org/opensearch/action/admin/indices/rollover/TransportRolloverAction.java @@ -46,6 +46,7 @@ import org.opensearch.cluster.ClusterStateUpdateTask; import org.opensearch.cluster.block.ClusterBlockException; import org.opensearch.cluster.block.ClusterBlocks; +import org.opensearch.cluster.metadata.IndexAbstraction; import org.opensearch.cluster.metadata.IndexMetadata; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; import org.opensearch.cluster.metadata.Metadata; @@ -64,10 +65,8 @@ import org.opensearch.transport.client.Client; import java.io.IOException; -import java.util.Arrays; import java.util.Collection; import java.util.Collections; -import java.util.HashSet; import java.util.List; import java.util.Map; import java.util.Optional; @@ -128,17 +127,15 @@ protected RolloverResponse read(StreamInput in) throws IOException { @Override protected ClusterBlockException checkBlock(RolloverRequest request, ClusterState state) { - IndicesOptions indicesOptions = IndicesOptions.fromOptions( - true, - true, - request.indicesOptions().expandWildcardsOpen(), - request.indicesOptions().expandWildcardsClosed() - ); - - return ClusterBlocks.indicesWithRemoteSnapshotBlockedException( - new HashSet<>(Arrays.asList(indexNameExpressionResolver.concreteIndexNames(state, indicesOptions, request))), - state - ); + IndexAbstraction indexAbstraction = state.metadata().getIndicesLookup().get(request.getRolloverTarget()); + if (indexAbstraction == null) { + return null; + } + IndexMetadata writeIndex = indexAbstraction.getWriteIndex(); + if (writeIndex == null) { + return null; + } + return ClusterBlocks.indicesWithRemoteSnapshotBlockedException(Collections.singletonList(writeIndex.getIndex().getName()), state); } @Override diff --git a/server/src/test/java/org/opensearch/action/admin/indices/rollover/TransportRolloverActionTests.java b/server/src/test/java/org/opensearch/action/admin/indices/rollover/TransportRolloverActionTests.java index 2eccfbafb7529..7a06f31885be6 100644 --- a/server/src/test/java/org/opensearch/action/admin/indices/rollover/TransportRolloverActionTests.java +++ b/server/src/test/java/org/opensearch/action/admin/indices/rollover/TransportRolloverActionTests.java @@ -45,6 +45,9 @@ import org.opensearch.action.support.PlainActionFuture; import org.opensearch.cluster.ClusterName; import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.DataStreamTestHelper; +import org.opensearch.cluster.block.ClusterBlockException; +import org.opensearch.cluster.block.ClusterBlocks; import org.opensearch.cluster.metadata.AliasMetadata; import org.opensearch.cluster.metadata.IndexMetadata; import org.opensearch.cluster.metadata.IndexNameExpressionResolver; @@ -58,6 +61,7 @@ import org.opensearch.cluster.routing.UnassignedInfo; import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.UUIDs; +import org.opensearch.common.collect.Tuple; import org.opensearch.common.settings.Settings; import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.concurrent.ThreadContext; @@ -66,6 +70,7 @@ import org.opensearch.core.common.unit.ByteSizeUnit; import org.opensearch.core.common.unit.ByteSizeValue; import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.IndexModule; import org.opensearch.index.cache.query.QueryCacheStats; import org.opensearch.index.cache.request.RequestCacheStats; import org.opensearch.index.engine.SegmentsStats; @@ -98,8 +103,11 @@ import static java.util.Collections.emptyList; import static org.opensearch.action.admin.indices.rollover.TransportRolloverAction.evaluateConditions; +import static org.hamcrest.Matchers.containsString; import static org.hamcrest.Matchers.equalTo; import static org.hamcrest.Matchers.is; +import static org.hamcrest.Matchers.notNullValue; +import static org.hamcrest.Matchers.nullValue; import static org.mockito.Mockito.any; import static org.mockito.Mockito.anyBoolean; import static org.mockito.Mockito.doAnswer; @@ -469,6 +477,266 @@ private static Condition createTestCondition() { return condition; } + private TransportRolloverAction newRolloverActionForCheckBlock(ClusterState state) { + ClusterService clusterService = mock(ClusterService.class); + when(clusterService.state()).thenReturn(state); + ThreadPool threadPool = mock(ThreadPool.class); + when(threadPool.getThreadContext()).thenReturn(new ThreadContext(Settings.EMPTY)); + IndexNameExpressionResolver resolver = new IndexNameExpressionResolver(new ThreadContext(Settings.EMPTY)); + MetadataRolloverService rolloverService = new MetadataRolloverService( + threadPool, + mock(MetadataCreateIndexService.class), + mock(MetadataIndexAliasesService.class), + resolver + ); + return new TransportRolloverAction( + mock(TransportService.class), + clusterService, + threadPool, + mock(ActionFilters.class), + resolver, + rolloverService, + mock(Client.class) + ); + } + + public void testCheckBlockSkipsBlockOnNonWriteAliasMember() { + // Given: an alias whose write index is unblocked, and a non-write + // alias member that carries a METADATA_WRITE block (CCR-style) + String alias = "logs-alias"; + String writeIndexName = "logs-000002"; + String nonWriteMember = "logs-000001"; + + IndexMetadata writeIndex = IndexMetadata.builder(writeIndexName) + .settings(settings(Version.CURRENT)) + .putAlias(AliasMetadata.builder(alias).writeIndex(true).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + IndexMetadata blockedNonWriteMember = IndexMetadata.builder(nonWriteMember) + .settings(settings(Version.CURRENT)) + .putAlias(AliasMetadata.builder(alias).writeIndex(false).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + + ClusterState state = ClusterState.builder(ClusterName.DEFAULT) + .metadata(Metadata.builder().put(writeIndex, false).put(blockedNonWriteMember, false)) + // INDEX_WRITE_BLOCK has level WRITE only and would not trip checkBlock's METADATA_WRITE + // probe; INDEX_METADATA_BLOCK is the closest standard constant that includes METADATA_WRITE, + // matching the level CCR's INDEX_REPLICATION_BLOCK uses. + .blocks(ClusterBlocks.builder().addIndexBlock(nonWriteMember, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs for a rollover targeting the alias + ClusterBlockException result = action.checkBlock(new RolloverRequest(alias, null), state); + + // Then: returns null (the bug fix — non-write member is irrelevant) + assertThat(result, is(nullValue())); + } + + public void testCheckBlockAbortsWhenWriteIndexHasMetadataWriteBlock() { + // Given: an alias whose write index has a METADATA_WRITE block applied + String alias = "logs-alias"; + String writeIndexName = "logs-000002"; + + IndexMetadata writeIndex = IndexMetadata.builder(writeIndexName) + .settings(settings(Version.CURRENT)) + .putAlias(AliasMetadata.builder(alias).writeIndex(true).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + + ClusterState state = ClusterState.builder(ClusterName.DEFAULT) + .metadata(Metadata.builder().put(writeIndex, false)) + // INDEX_METADATA_BLOCK includes METADATA_WRITE level (see sibling test for rationale). + .blocks(ClusterBlocks.builder().addIndexBlock(writeIndexName, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs + ClusterBlockException result = action.checkBlock(new RolloverRequest(alias, null), state); + + // Then: returns a ClusterBlockException naming only the write index + // (regression guard for the still-correct abort path) + assertThat(result, is(notNullValue())); + assertThat(result.getMessage(), containsString(writeIndexName)); + } + + public void testCheckBlockSkipsBlockOnNonWriteDataStreamBacking() { + // Given: a data stream with multiple backing indices; an older backing + // (not the write backing) has a METADATA_WRITE block + String dataStreamName = "logs-ds"; + int generations = 2; + + ClusterState baseState = DataStreamTestHelper.getClusterStateWithDataStreams( + List.of(new Tuple<>(dataStreamName, generations)), + List.of() + ); + + // The write backing is the highest-generation index; older backings come first. + String olderBacking = baseState.metadata().dataStreams().get(dataStreamName).getIndices().getFirst().getName(); + + ClusterState state = ClusterState.builder(baseState) + // INDEX_METADATA_BLOCK includes METADATA_WRITE level (see sibling test for rationale). + .blocks(ClusterBlocks.builder().addIndexBlock(olderBacking, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs for a rollover targeting the data stream + ClusterBlockException result = action.checkBlock(new RolloverRequest(dataStreamName, null), state); + + // Then: returns null (data-stream parity with the alias case) + assertThat(result, is(nullValue())); + } + + public void testCheckBlockSkipsRemoteSnapshotWriteIndexWithoutUserReadOnlyBlock() { + // Given: an alias whose write index is a remote_snapshot. Such indices come with + // an implicit METADATA_WRITE block; without a user-set read-only setting, the + // precheck should defer (parity with ClusterBlocks#indicesWithRemoteSnapshotBlockedException). + String alias = "logs-alias"; + String writeIndexName = "logs-000002"; + + Settings remoteSnapshotSettings = Settings.builder() + .put(settings(Version.CURRENT).build()) + .put(IndexModule.INDEX_STORE_TYPE_SETTING.getKey(), IndexModule.Type.REMOTE_SNAPSHOT.getSettingsKey()) + .build(); + + IndexMetadata writeIndex = IndexMetadata.builder(writeIndexName) + .settings(remoteSnapshotSettings) + .putAlias(AliasMetadata.builder(alias).writeIndex(true).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + + ClusterState state = ClusterState.builder(ClusterName.DEFAULT) + .metadata(Metadata.builder().put(writeIndex, false)) + .blocks(ClusterBlocks.builder().addIndexBlock(writeIndexName, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs + ClusterBlockException result = action.checkBlock(new RolloverRequest(alias, null), state); + + // Then: returns null (the implicit remote_snapshot block is exempted) + assertThat(result, is(nullValue())); + } + + public void testCheckBlockAbortsWhenRemoteSnapshotHasUserReadOnlyBlock() { + // Given: a remote_snapshot write index with a user-set INDEX_READ_ONLY_SETTING. + // That's an intentional read-only block, so the precheck must still abort. + String alias = "logs-alias"; + String writeIndexName = "logs-000002"; + + Settings remoteSnapshotSettings = Settings.builder() + .put(settings(Version.CURRENT).build()) + .put(IndexModule.INDEX_STORE_TYPE_SETTING.getKey(), IndexModule.Type.REMOTE_SNAPSHOT.getSettingsKey()) + .put(IndexMetadata.SETTING_READ_ONLY, true) + .build(); + + IndexMetadata writeIndex = IndexMetadata.builder(writeIndexName) + .settings(remoteSnapshotSettings) + .putAlias(AliasMetadata.builder(alias).writeIndex(true).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + + ClusterState state = ClusterState.builder(ClusterName.DEFAULT) + .metadata(Metadata.builder().put(writeIndex, false)) + .blocks(ClusterBlocks.builder().addIndexBlock(writeIndexName, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs + ClusterBlockException result = action.checkBlock(new RolloverRequest(alias, null), state); + + // Then: aborts naming the write index (user opted in to read-only) + assertThat(result, is(notNullValue())); + assertThat(result.getMessage(), containsString(writeIndexName)); + } + + public void testCheckBlockReturnsNullWhenRolloverTargetUnresolvable() { + // Given: cluster state with no abstraction matching the rollover target + ClusterState state = ClusterState.builder(ClusterName.DEFAULT).metadata(Metadata.builder()).build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs + ClusterBlockException result = action.checkBlock(new RolloverRequest("does-not-exist", null), state); + + // Then: returns null (defers to main path's canonical "not found" error) + assertThat(result, is(nullValue())); + } + + public void testCheckBlockReturnsNullWhenAliasHasNoWriteMember() { + // Given: an alias with members but none marked is_write_index=true. + // (Multiple non-write members with no write member is the only shape that makes + // Alias#getWriteIndex() return null; a single non-write member is implicitly the write index.) + String alias = "logs-alias"; + String memberA = "logs-000001"; + String memberB = "logs-000002"; + + IndexMetadata indexA = IndexMetadata.builder(memberA) + .settings(settings(Version.CURRENT)) + .putAlias(AliasMetadata.builder(alias).writeIndex(false).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + IndexMetadata indexB = IndexMetadata.builder(memberB) + .settings(settings(Version.CURRENT)) + .putAlias(AliasMetadata.builder(alias).writeIndex(false).build()) + .numberOfShards(1) + .numberOfReplicas(1) + .build(); + + ClusterState state = ClusterState.builder(ClusterName.DEFAULT) + .metadata(Metadata.builder().put(indexA, false).put(indexB, false)) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs + ClusterBlockException result = action.checkBlock(new RolloverRequest(alias, null), state); + + // Then: returns null — defers to MetadataRolloverService's canonical + // "rollover target [...] does not point to a write index" error. + assertThat(result, is(nullValue())); + } + + public void testCheckBlockAbortsWhenDataStreamWriteBackingBlocked() { + // Given: a data stream where the write (highest-generation) backing carries a METADATA_WRITE block + String dataStreamName = "logs-ds"; + int generations = 2; + + ClusterState baseState = DataStreamTestHelper.getClusterStateWithDataStreams( + List.of(new Tuple<>(dataStreamName, generations)), + List.of() + ); + + // Write backing is the highest-generation index — the last in the indices list. + List backings = baseState.metadata().dataStreams().get(dataStreamName).getIndices(); + String writeBacking = backings.getLast().getName(); + + ClusterState state = ClusterState.builder(baseState) + .blocks(ClusterBlocks.builder().addIndexBlock(writeBacking, IndexMetadata.INDEX_METADATA_BLOCK).build()) + .build(); + + TransportRolloverAction action = newRolloverActionForCheckBlock(state); + + // When: checkBlock runs for a rollover targeting the data stream + ClusterBlockException result = action.checkBlock(new RolloverRequest(dataStreamName, null), state); + + // Then: aborts naming the write backing — symmetry with the alias write-index-blocked case. + assertThat(result, is(notNullValue())); + assertThat(result.getMessage(), containsString(writeBacking)); + } + public static IndicesStatsResponse randomIndicesStatsResponse(final IndexMetadata[] indices) { List shardStats = new ArrayList<>(); for (final IndexMetadata index : indices) { From 8ba892aba93a906a911ca4a36d9535bbd5f51713 Mon Sep 17 00:00:00 2001 From: Sandesh Kumar Date: Wed, 1 Jul 2026 16:53:15 -0700 Subject: [PATCH 76/94] [analytics-engine] Improve TopK correctness with CSS: replace Final with PartialReduce using topk check (#22360) Co-authored-by: Claude Opus 4.6 (1M context) Co-authored-by: Marc Handalian Co-authored-by: Aniketh Jain --- .../rust/src/agg_mode.rs | 72 ++++- .../rust/src/indexed_executor.rs | 3 +- .../rust/src/local_executor.rs | 1 + .../rust/src/session_context.rs | 221 ++++++++++++- .../planner/rules/OpenSearchTopKRewriter.java | 16 +- .../planner/TopKRewriterPlanShapeTests.java | 65 +++- .../analytics/qa/TopKCssCorrectnessIT.java | 299 ++++++++++++++++++ .../planshape/clickbench/q10.plan.yaml | 16 +- .../planshape/clickbench/q11.plan.yaml | 20 +- .../planshape/clickbench/q12.plan.yaml | 20 +- .../planshape/clickbench/q13.plan.yaml | 20 +- .../planshape/clickbench/q14.plan.yaml | 20 +- .../planshape/clickbench/q15.plan.yaml | 20 +- .../planshape/clickbench/q16.plan.yaml | 16 +- .../planshape/clickbench/q17.plan.yaml | 16 +- .../planshape/clickbench/q18.plan.yaml | 16 +- .../planshape/clickbench/q19.plan.yaml | 16 +- .../planshape/clickbench/q22.plan.yaml | 20 +- .../planshape/clickbench/q23.plan.yaml | 64 +++- .../planshape/clickbench/q28.plan.yaml | 24 +- .../planshape/clickbench/q29.plan.yaml | 24 +- .../planshape/clickbench/q31.plan.yaml | 20 +- .../planshape/clickbench/q32.plan.yaml | 20 +- .../planshape/clickbench/q33.plan.yaml | 16 +- .../planshape/clickbench/q34.plan.yaml | 16 +- .../planshape/clickbench/q35.plan.yaml | 16 +- .../planshape/clickbench/q36.plan.yaml | 16 +- .../planshape/clickbench/q37.plan.yaml | 20 +- .../planshape/clickbench/q38.plan.yaml | 20 +- .../planshape/clickbench/q39.plan.yaml | 20 +- .../planshape/clickbench/q40.plan.yaml | 24 +- .../planshape/clickbench/q41.plan.yaml | 20 +- .../planshape/clickbench/q42.plan.yaml | 20 +- .../planshape/clickbench/q43.plan.yaml | 24 +- .../planshape/clickbench/q8.plan.yaml | 20 +- .../planshape/clickbench/q9.plan.yaml | 17 +- 36 files changed, 1055 insertions(+), 223 deletions(-) create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TopKCssCorrectnessIT.java diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs index d42545bd4c2ce..d7f0df7e62195 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs @@ -16,7 +16,7 @@ use datafusion::physical_optimizer::optimizer::{PhysicalOptimizer, PhysicalOptim use datafusion::physical_plan::aggregates::{AggregateExec, AggregateMode}; use datafusion::physical_plan::expressions::Column; use datafusion::physical_plan::projection::ProjectionExec; -use datafusion::physical_plan::ExecutionPlan; +use datafusion::physical_plan::{ExecutionPlan, ExecutionPlanProperties}; use datafusion_common::Result; #[derive(Clone, Copy, Debug, PartialEq)] @@ -38,14 +38,17 @@ pub(crate) fn physical_optimizer_rules_without_combine( } /// Applies aggregate mode stripping to a physical plan. +/// `has_topk`: when true and stripping to Partial, replaces Final/FinalPartitioned with +/// PartialReduce so CSS partitions are merged by group key before the TopK sort truncates. pub(crate) fn apply_aggregate_mode( plan: Arc, mode: Mode, + has_topk: bool, ) -> Result> { match mode { Mode::Default => Ok(plan), - Mode::Partial => force_aggregate_mode(plan, AggregateMode::Partial), - Mode::Final => force_aggregate_mode(plan, AggregateMode::Final), + Mode::Partial => force_aggregate_mode(plan, AggregateMode::Partial, has_topk), + Mode::Final => force_aggregate_mode(plan, AggregateMode::Final, false), } } @@ -59,6 +62,7 @@ pub(crate) fn partial_aggregate_schema(plan: &Arc) -> Option< fn force_aggregate_mode( plan: Arc, target: AggregateMode, + has_topk: bool, ) -> Result> { if let Some(agg) = plan.downcast_ref::() { // Treat `FinalPartitioned` as `Final`: DataFusion picks `FinalPartitioned` for @@ -71,32 +75,47 @@ fn force_aggregate_mode( let new_children: Vec> = agg .children() .into_iter() - .map(|c| force_aggregate_mode(Arc::clone(c), target)) + .map(|c| force_aggregate_mode(Arc::clone(c), target, has_topk)) .collect::>()?; return plan.with_new_children(new_children); } // Mode mismatch — strip this node match target { AggregateMode::Partial => { - // Current node is Final; find the Partial subtree below + // Current node is Final/FinalPartitioned. + // When TopK is active and the input has multiple partitions (CSS), replace + // with PartialReduce instead of stripping. PartialReduce keeps agg.input() + // (RepartitionExec(Hash) → Partial(×N)) so CSS partitions are merged by + // group key before TopK truncation. Skip when input_partitions=1 — PartialReduce + // over a single partition is redundant and adds unnecessary overhead. + if has_topk && agg.input().output_partitioning().partition_count() > 1 { + return Ok(Arc::new(AggregateExec::try_new( + AggregateMode::PartialReduce, + agg.group_expr().clone(), + agg.aggr_expr().to_vec(), + agg.filter_expr().to_vec(), + Arc::clone(agg.input()), + agg.input_schema(), + )?)); + } + // Normal path: strip Final, return Partial subtree if let Some(partial_subtree) = find_partial_input(Arc::clone(agg.input())) { return Ok(partial_subtree); } - // If no Partial found below, the input itself is the Partial Ok(Arc::clone(agg.input())) } AggregateMode::Final => { // Current node is Partial; skip it, return its child // (the Final above will keep itself) let child = agg.children()[0]; - force_aggregate_mode(Arc::clone(child), target) + force_aggregate_mode(Arc::clone(child), target, false) } _ => Ok(plan), } } else if plan.children().len() == 1 { // Single-input wrapper — recurse transparently. let old_child = Arc::clone(plan.children()[0]); - let new_child = force_aggregate_mode(old_child.clone(), target)?; + let new_child = force_aggregate_mode(old_child.clone(), target, has_topk)?; // DataFusion's ProjectionMapping::try_new asserts col.name() == input_schema.field(i).name(); // with_new_children triggers it. Remap columns to the post-strip schema so it passes. @@ -235,7 +254,7 @@ mod tests { plan_string(&plan) ); - let result = apply_aggregate_mode(plan, Mode::Partial).unwrap(); + let result = apply_aggregate_mode(plan, Mode::Partial, false).unwrap(); let result_modes = find_agg_modes(&result); assert!( result_modes.contains(&AggregateMode::Partial), @@ -253,7 +272,7 @@ mod tests { async fn test_strip_final_over_scan() { // Final(Partial(memtable)) → strip to Final only (Partial removed) let plan = make_agg_plan().await; - let result = apply_aggregate_mode(plan, Mode::Final).unwrap(); + let result = apply_aggregate_mode(plan, Mode::Final, false).unwrap(); let result_modes = find_agg_modes(&result); assert!( result_modes.contains(&AggregateMode::Final), @@ -276,13 +295,13 @@ mod tests { let modes = find_agg_modes(&plan); if modes.len() < 2 { // If optimizer collapsed it, just verify Mode::Partial works - let result = apply_aggregate_mode(plan, Mode::Partial).unwrap(); + let result = apply_aggregate_mode(plan, Mode::Partial, false).unwrap(); let result_modes = find_agg_modes(&result); assert!(!result_modes.contains(&AggregateMode::Final)); return; } - let result = apply_aggregate_mode(plan, Mode::Partial).unwrap(); + let result = apply_aggregate_mode(plan, Mode::Partial, false).unwrap(); let result_modes = find_agg_modes(&result); assert!( !result_modes.contains(&AggregateMode::Final), @@ -297,7 +316,7 @@ mod tests { // Final → CoalescePartitions → Partial → scan; strip to Final let plan = make_agg_plan().await; // The simple plan has CoalescePartitions between Final and Partial - let result = apply_aggregate_mode(plan, Mode::Final).unwrap(); + let result = apply_aggregate_mode(plan, Mode::Final, false).unwrap(); let result_modes = find_agg_modes(&result); assert!( !result_modes.contains(&AggregateMode::Partial), @@ -332,10 +351,35 @@ mod tests { assert!(display_before.contains("AggregateExec: mode=Final"), "expected Final in plan"); assert!(display_before.contains("AggregateExec: mode=Partial"), "expected Partial in plan"); - let stripped = apply_aggregate_mode(plan, Mode::Partial).unwrap(); + let stripped = apply_aggregate_mode(plan, Mode::Partial, false).unwrap(); let display_after = plan_string(&stripped); assert!(!display_after.contains("mode=Final"), "Final should be stripped"); assert!(display_after.contains("mode=Partial"), "Partial should remain"); } + /// When has_topk=true and the input has multiple partitions (CSS), Final/FinalPartitioned + /// must be replaced with PartialReduce rather than stripped, so the coordinator receives + /// correctly merged partial state instead of per-partition-truncated results. + #[tokio::test] + async fn test_apply_partial_with_topk_produces_partial_reduce() { + let plan = make_agg_plan_with_repartition().await; + let display_before = plan_string(&plan); + // With target_partitions=4 and GROUP BY, DF produces FinalPartitioned. + assert!( + display_before.contains("mode=FinalPartitioned") || display_before.contains("mode=Final"), + "expected Final/FinalPartitioned in multi-partition plan, got:\n{display_before}" + ); + + let result = apply_aggregate_mode(plan, Mode::Partial, true).unwrap(); + let modes = find_agg_modes(&result); + assert!( + modes.contains(&AggregateMode::PartialReduce), + "has_topk=true with multi-partition input must produce PartialReduce, got modes: {modes:?}" + ); + assert!( + !modes.contains(&AggregateMode::Final) && !modes.contains(&AggregateMode::FinalPartitioned), + "Final/FinalPartitioned must not remain after stripping" + ); + } + } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index 5ec148c0e8ff8..9d21b6d5f40ca 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -132,6 +132,7 @@ pub async fn execute_indexed_query( query_config: Arc::unwrap_or_clone(query_config), io_handle: tokio::runtime::Handle::current(), aggregate_mode: crate::agg_mode::Mode::Default, + has_topk: false, prepared_plan: None, phantom_reservation: None, }; @@ -1331,7 +1332,7 @@ async unsafe fn execute_indexed_with_context_inner( // Apply aggregate mode stripping when prepare_partial_plan was called (engine-native-merge). // This makes the indexed executor produce Binary HLL state (Partial) instead of Int64 (Final). let physical_plan = if aggregate_mode != crate::agg_mode::Mode::Default { - crate::agg_mode::apply_aggregate_mode(physical_plan, aggregate_mode)? + crate::agg_mode::apply_aggregate_mode(physical_plan, aggregate_mode, handle.has_topk)? } else { physical_plan }; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs index a59e2ec56d28f..89756519380ed 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs @@ -230,6 +230,7 @@ impl LocalSession { let stripped = crate::agg_mode::apply_aggregate_mode( physical_plan, crate::agg_mode::Mode::Final, + false, )?; let target_schema = crate::schema_coerce::coerce_inferred_schema(stripped.schema()); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 5f99b8ccbd06b..30f637c759bba 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -24,6 +24,7 @@ use datafusion::{ execution::memory_pool::MemoryPool, execution::runtime_env::RuntimeEnvBuilder, execution::SessionStateBuilder, + physical_plan::ExecutionPlan, prelude::*, }; use log::error; @@ -62,6 +63,10 @@ pub struct SessionContextHandle { pub io_handle: tokio::runtime::Handle, /// Aggregate execution mode for distributed partial/final stripping. pub(crate) aggregate_mode: crate::agg_mode::Mode, + /// True when the shard Substrait fragment contains a FetchRel (Sort+Limit = TopK). + /// Detected once in `create_session_context` from plan_bytes and reused in + /// `prepare_partial_plan` to apply PartialReduce for CSS correctness. + pub(crate) has_topk: bool, /// Pre-prepared physical plan (set by prepare_partial_plan / prepare_final_plan). pub(crate) prepared_plan: Option>, /// Phantom reservation holding pool capacity for untracked memory. @@ -199,8 +204,15 @@ pub async unsafe fn create_session_context( let phantom = phantom_reservation.map(|b| b.phantom_reservation); let mut config = SessionConfig::new(); + // Detect TopK once from the Substrait bytes: a FetchRel (Sort+Limit) in a partial-agg + // fragment means OpenSearchTopKRewriter fired. Stored on the handle so prepare_partial_plan + // can apply PartialReduce without re-scanning the physical plan. + let has_topk = has_partial_aggregate && substrait_has_fetch_rel(plan_bytes); config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; - if has_partial_aggregate { + // Disable DataFusion's adaptive skip-partial-aggregation when TopK is active. + // If DF abandons partial agg midstream, the partial state sent to the coordinator is + // incomplete — TopK sees wrong group counts and produces incorrect results. + if has_topk { config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; } config.options_mut().execution.target_partitions = effective_partitions; @@ -378,6 +390,7 @@ pub async unsafe fn create_session_context( query_config, io_handle: tokio::runtime::Handle::current(), aggregate_mode: crate::agg_mode::Mode::Default, + has_topk, prepared_plan: None, phantom_reservation: phantom, }; @@ -448,13 +461,14 @@ pub async fn prepare_partial_plan( let logical_plan = from_substrait_plan(&handle.ctx.state(), &plan).await?; let dataframe = handle.ctx.execute_logical_plan(logical_plan).await?; let physical_plan = dataframe.create_physical_plan().await?; + // Strip first on the raw physical plan so `force_aggregate_mode(Partial)` can find the // Final/Partial pair without a RelabelExec wrapper at the root pre-empting the walk. // Then derive `target_schema` and wrap with RelabelExec from the stripped plan's actual // output (state-suffixed Binary for HLL Partial vs. Int64 cardinality for Final.evaluate) // — otherwise RelabelExec would carry the pre-strip type tag (e.g. Int64) and fail with // "non-bit-compatible types: Binary → Int64" when wrapping the stripped Partial. - let stripped = crate::agg_mode::apply_aggregate_mode(physical_plan, crate::agg_mode::Mode::Partial)?; + let stripped = crate::agg_mode::apply_aggregate_mode(physical_plan, crate::agg_mode::Mode::Partial, handle.has_topk)?; let target_schema = crate::schema_coerce::coerce_inferred_schema(stripped.schema()); let stripped = crate::relabel_exec::wrap_if_relabel_needed(stripped, target_schema)?; @@ -462,6 +476,62 @@ pub async fn prepare_partial_plan( Ok(()) } + +/// Returns true if the Substrait plan bytes contain a FetchRel (Sort+Limit node). +/// A FetchRel in a shard fragment means `OpenSearchTopKRewriter` inserted a per-shard +/// Sort+Limit — TopK is active. Used in `create_session_context` to detect TopK before +/// the DataFusion physical plan is built, so the result can be stored on the handle and +/// reused in `prepare_partial_plan` without re-scanning the physical plan. +/// +/// Single-shard (SINGLE aggregate mode) never has `has_partial_aggregate=true` so this +/// function is only called for multi-shard partial-aggregate fragments. +/// +/// # Upgrade path note +/// This detection avoids adding a new boolean field to the Java→Rust FFI surface +/// (which would break wire compatibility with older nodes during rolling upgrades — +/// old coordinators serialising `PartialAggregateInstructionNode` without the field +/// would be misread by new data nodes). The Substrait plan bytes are already part of +/// the existing wire contract and do not change format. +/// +/// TODO: Once AnalyticsCore supports a versioned flag/hint mechanism, replace this +/// Substrait scan with an explicit flag passed through the instruction pipeline. +/// That would be cleaner and avoid re-parsing the plan bytes, but requires a +/// backward-compatible flag delivery path that does not exist today. +fn substrait_has_fetch_rel(plan_bytes: &[u8]) -> bool { + use prost::Message; + use substrait::proto::rel::RelType; + + fn rel_has_fetch(rel: &substrait::proto::Rel) -> bool { + match rel.rel_type.as_ref() { + Some(RelType::Fetch(f)) => f.count_mode.is_some(), + Some(RelType::Sort(s)) => s.input.as_ref().map_or(false, |r| rel_has_fetch(r)), + Some(RelType::Project(p)) => p.input.as_ref().map_or(false, |r| rel_has_fetch(r)), + Some(RelType::Filter(f)) => f.input.as_ref().map_or(false, |r| rel_has_fetch(r)), + Some(RelType::Aggregate(a)) => a.input.as_ref().map_or(false, |r| rel_has_fetch(r)), + // TODO: enumerate remaining rel types explicitly and panic on unknown ones. + Some(other) => { + native_bridge_common::log_debug!( + "substrait_has_fetch_rel: {:?} — no TopK fetch", + std::mem::discriminant(other) + ); + false + } + None => false, + } + } + + let Ok(plan) = substrait::proto::Plan::decode(plan_bytes) else { return false; }; + plan.relations.iter().any(|pr| { + match pr.rel_type.as_ref() { + Some(substrait::proto::plan_rel::RelType::Root(rr)) => { + rr.input.as_ref().map_or(false, |r| rel_has_fetch(r)) + } + Some(substrait::proto::plan_rel::RelType::Rel(r)) => rel_has_fetch(r), + None => false, + } + }) +} + /// Attempt to acquire a memory budget using cached parquet metadata. /// Returns None on cache miss or if the budget system is not configured. fn try_acquire_budget( @@ -679,6 +749,7 @@ mod tests { query_config: crate::datafusion_query_config::DatafusionQueryConfig::test_default(), io_handle: tokio::runtime::Handle::current(), aggregate_mode: Mode::Default, + has_topk: false, prepared_plan: None, phantom_reservation: None, }; @@ -832,28 +903,158 @@ mod tests { } #[test] - fn test_skip_partial_agg_disabled_when_has_partial_aggregate() { - // When has_partial_aggregate=true, skip_partial must be disabled (threshold=1.0) + fn test_skip_partial_agg_disabled_when_has_topk() { + // skip_partial must be disabled (1.0) when TopK is active — if DF abandons partial + // agg midstream the partial state is incomplete and TopK sees wrong group counts. let mut config = SessionConfig::new(); - let has_partial = true; - if has_partial { + let has_topk = true; + if has_topk { config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; } assert_eq!( config.options().execution.skip_partial_aggregation_probe_ratio_threshold, 1.0, - "skip_partial must be disabled (1.0) for multi-shard" + "skip_partial must be disabled (1.0) when TopK is active" ); } #[test] - fn test_skip_partial_agg_default_when_single_shard() { - // When has_partial_aggregate=false, skip_partial retains DF default (0.8) + fn test_skip_partial_agg_default_when_no_topk() { + // When has_topk=false, skip_partial retains DF default (0.8) — no perf regression + // for non-TopK multi-shard queries. let config = SessionConfig::new(); assert_eq!( config.options().execution.skip_partial_aggregation_probe_ratio_threshold, 0.8, - "single-shard must retain DF default threshold" + "non-TopK queries must retain DF default threshold" ); } + + #[test] + fn test_substrait_has_fetch_rel_empty() { + assert!(!substrait_has_fetch_rel(&[]), "empty bytes → false"); + } + + #[test] + fn test_substrait_has_fetch_rel_with_fetch() { + use prost::Message; + use substrait::proto::expression::literal::LiteralType; + use substrait::proto::expression::{Literal, RexType}; + use substrait::proto::rel::RelType; + use substrait::proto::{Expression, FetchRel, Plan, PlanRel, Rel, SortRel, fetch_rel, plan_rel}; + + // Build: FetchRel(count=10) wrapping SortRel — same as what DataFusion Substrait + // producer emits for Sort(fetch=10, ...) from OpenSearchTopKRewriter. + let sort_rel = Box::new(Rel { + rel_type: Some(RelType::Sort(Box::new(SortRel { + common: None, + input: None, + sorts: vec![], + advanced_extension: None, + }))), + }); + let fetch_rel = Box::new(Rel { + rel_type: Some(RelType::Fetch(Box::new(FetchRel { + common: None, + input: Some(sort_rel), + offset_mode: None, + count_mode: Some(fetch_rel::CountMode::CountExpr(Box::new(Expression { + rex_type: Some(RexType::Literal(Literal { + nullable: false, + type_variation_reference: 0, + literal_type: Some(LiteralType::I64(10)), + })), + }))), + advanced_extension: None, + }))), + }); + let plan = Plan { + relations: vec![PlanRel { + rel_type: Some(plan_rel::RelType::Rel(*fetch_rel)), + }], + ..Default::default() + }; + let bytes = plan.encode_to_vec(); + assert!(substrait_has_fetch_rel(&bytes), "FetchRel(count=10) → true"); + } + + #[test] + fn test_substrait_has_fetch_rel_with_fetch_no_count_mode() { + use prost::Message; + use substrait::proto::rel::RelType; + use substrait::proto::{FetchRel, Plan, PlanRel, Rel, plan_rel}; + + // FetchRel exists but count_mode is None — not a real limit, should not trigger TopK. + let fetch_rel = Box::new(Rel { + rel_type: Some(RelType::Fetch(Box::new(FetchRel { + common: None, + input: None, + offset_mode: None, + count_mode: None, + advanced_extension: None, + }))), + }); + let plan = Plan { + relations: vec![PlanRel { + rel_type: Some(plan_rel::RelType::Rel(*fetch_rel)), + }], + ..Default::default() + }; + let bytes = plan.encode_to_vec(); + assert!(!substrait_has_fetch_rel(&bytes), "FetchRel without count_mode → false"); + } + + #[test] + fn test_substrait_has_fetch_rel_without_fetch() { + use prost::Message; + use substrait::proto::rel::RelType; + use substrait::proto::{Plan, PlanRel, Rel, SortRel, plan_rel}; + + // Sort without fetch → no FetchRel → false + let sort_rel = Box::new(Rel { + rel_type: Some(RelType::Sort(Box::new(SortRel { + common: None, + input: None, + sorts: vec![], + advanced_extension: None, + }))), + }); + let plan = Plan { + relations: vec![PlanRel { + rel_type: Some(plan_rel::RelType::Rel(*sort_rel)), + }], + ..Default::default() + }; + let bytes = plan.encode_to_vec(); + assert!(!substrait_has_fetch_rel(&bytes), "SortRel without FetchRel → false"); + } + + /// A Join rel at the root — exercises the `Some(other)` arm that logs and returns false. + /// Shard fragments never have Join above a TopK FetchRel, so this correctly returns false. + #[test] + fn test_substrait_has_fetch_rel_join_returns_false() { + use prost::Message; + use substrait::proto::rel::RelType; + use substrait::proto::{JoinRel, Plan, PlanRel, Rel, plan_rel}; + + let join_rel = Box::new(Rel { + rel_type: Some(RelType::Join(Box::new(JoinRel { + common: None, + left: None, + right: None, + r#type: 0, + expression: None, + post_join_filter: None, + advanced_extension: None, + }))), + }); + let plan = Plan { + relations: vec![PlanRel { + rel_type: Some(plan_rel::RelType::Rel(*join_rel)), + }], + ..Default::default() + }; + let bytes = plan.encode_to_vec(); + assert!(!substrait_has_fetch_rel(&bytes), "Join rel → false (no TopK in shard fragment with Join)"); + } } diff --git a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchTopKRewriter.java b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchTopKRewriter.java index 9c0c1d16d3d8a..be18e68c83e02 100644 --- a/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchTopKRewriter.java +++ b/sandbox/plugins/analytics-engine/src/main/java/org/opensearch/analytics/planner/rules/OpenSearchTopKRewriter.java @@ -17,6 +17,7 @@ import org.apache.calcite.rex.RexInputRef; import org.apache.calcite.rex.RexLiteral; import org.apache.calcite.rex.RexNode; +import org.apache.calcite.rex.RexOver; import org.apache.calcite.sql.type.SqlTypeName; import org.opensearch.analytics.planner.PlannerContext; import org.opensearch.analytics.planner.rel.AggregateMode; @@ -229,8 +230,19 @@ private static PathToFinal findFinalAgg(RelNode node, OpenSearchProject seenProj if (node instanceof OpenSearchAggregate agg && agg.getMode() == AggregateMode.FINAL) { return new PathToFinal(seenProject, agg); } - if (node instanceof OpenSearchProject proj && seenProject == null) { - return findFinalAgg(proj.getInput(), proj); + // Anything between the Sort and the FINAL that consumes its full grouped output makes + // the pushdown unsafe — refuse to match at all. + // TODO: nested stats — re-enable once TopK oversampling factor is an execution hint + // so the inner agg can over-fetch enough groups for outer-agg correctness. + if (node instanceof OpenSearchAggregate) return null; // nested stats + if (node instanceof OpenSearchProject proj) { + if (proj.getProjects().stream().anyMatch(RexOver::containsOver)) return null; // window fn + // Capture the first Project for sort-key remapping; pass through subsequent Projects. + // Only the first Project (seenProject) is used for collation remapping in rewrite() — + // subsequent plain-column Projects are transparent. rewrite() then validates each sort + // field maps through seenProject as a RexInputRef; computed expressions (AVG division, + // etc.) cause rewrite() to bail, so they are safely rejected even if passed through here. + return findFinalAgg(proj.getInput(), seenProject == null ? proj : seenProject); } if (node.getInputs().size() == 1) return findFinalAgg(node.getInputs().get(0), seenProject); return null; diff --git a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/TopKRewriterPlanShapeTests.java b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/TopKRewriterPlanShapeTests.java index 184ddbd5b1456..73796cbb24a39 100644 --- a/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/TopKRewriterPlanShapeTests.java +++ b/sandbox/plugins/analytics-engine/src/test/java/org/opensearch/analytics/planner/TopKRewriterPlanShapeTests.java @@ -485,6 +485,57 @@ public void testRewrite_pplShape_sortByGroupKey_remapsCorrectly() { ); } + // ── Detection: chained stats (nested aggregation) must NOT get TopK ───────── + + /** + * PPL: {@code stats count() as c by X, Y | stats sum(c) as total by X | sort - total | head 5} + * The outer aggregate's PARTIAL input subtree contains another aggregate, so TopK must bail. + * TopK on the inner agg would truncate (X, Y) groups before the outer sum sees all of them, + * producing catastrophically wrong totals. + */ + public void testDetection_chainedStats_topKBails() { + RelOptTable table = mockTable("test_index", "status", "size"); + RelNode scan = stubScan(table); + + // Inner agg: count() by (status, size) + LogicalAggregate innerAgg = LogicalAggregate.create(scan, List.of(), ImmutableBitSet.of(0, 1), null, List.of(countStarCall())); + + // Outer agg: sum(count) by status — groups over the inner agg result + LogicalAggregate outerAgg = LogicalAggregate.create( + innerAgg, + List.of(), + ImmutableBitSet.of(0), + null, + List.of( + AggregateCall.create( + SqlStdOperatorTable.SUM, + false, + false, + false, + List.of(), + List.of(2), + -1, + null, + RelCollations.EMPTY, + typeFactory.createSqlType(SqlTypeName.BIGINT), + "total" + ) + ) + ); + + // Sort on total DESC, head 5 + RelNode sort = LogicalSort.create( + outerAgg, + RelCollations.of(new RelFieldCollation(1, RelFieldCollation.Direction.DESCENDING)), + null, + rexBuilder.makeLiteral(5, typeFactory.createSqlType(SqlTypeName.INTEGER), true) + ); + + RelNode result = runPlanner(sort, contextWithOversampling(2.0)); + String plan = RelOptUtil.toString(result); + assertEquals("chained stats — TopK must not insert a shard Sort", 0, countShardSortsBelowER(plan)); + } + // ── Detection: AVG does NOT get TopK (reduce decomposition inserts computed Project) ── /** AVG is decomposed into SUM/COUNT with a divide Project — rewriter bails. */ @@ -504,10 +555,11 @@ public void testDetection_avgByGroup_noTopK() { } /** - * Multiple adjacent Projects between Sort and Aggregate: if PROJECT_MERGE is ever removed, - * the rewriter should still work (captures only the first Project, skips remapping for the - * second). This test verifies TopK still fires — sort key passes through un-remapped since - * the second Project is not captured. + * Multiple adjacent Projects between Sort and Aggregate: PROJECT_MERGE collapses them during + * RBO so TopK normally fires. If for any reason two projects survive (PROJECT_MERGE removed or + * blocked), the rewriter now safely bails — accepting the second project is unsafe since it + * could carry window functions or other expressions that make TopK incorrect. + * This test verifies the safe-bail behavior when two projects reach the rewriter. */ public void testDetection_multipleProjects_topKStillFires() { RelOptTable table = mockTable("test_index", "status", "size"); @@ -538,7 +590,10 @@ public void testDetection_multipleProjects_topKStillFires() { RelNode result = runPlanner(sort, contextWithOversampling(2.0)); String plan = RelOptUtil.toString(result); long sortCount = plan.lines().filter(l -> l.contains("OpenSearchSort")).count(); - assertTrue("TopK should still fire with multiple projects (PROJECT_MERGE collapses them)", sortCount >= 2); + // PROJECT_MERGE collapses the two adjacent identity projects, so TopK fires. + // Even without PROJECT_MERGE, the rewriter passes through multiple plain-column projects + // and validates the sort key at the first seenProject — TopK still fires correctly. + assertTrue("TopK should fire with multiple plain-column projects", sortCount >= 2); } /** Computed expression (literal) in Project between Sort and Aggregate — rewriter bails. */ diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TopKCssCorrectnessIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TopKCssCorrectnessIT.java new file mode 100644 index 0000000000000..5f3936a684eac --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/TopKCssCorrectnessIT.java @@ -0,0 +1,299 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source source license. + */ + +package org.opensearch.analytics.qa; + +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.util.List; +import java.util.Map; + +/** + * Regression tests for TopK correctness when concurrent segment search (CSS) is active. + * + *

      Before the PartialReduce fix, CSS caused each intra-shard partition to independently + * truncate to the TopK fetch limit before the coordinator merge, producing wrong counts. + * Each test runs the same query with CSS off (reference) and CSS on (subject) and asserts + * the results are identical. + * + *

      Covers 13 aggregate shapes identified by Aniketh Jain across count, sum, avg, min/max, + * distinct_count, stddev/variance, percentile, offset, scalar agg, and permutation variants. + */ +@SuppressWarnings("unchecked") +public class TopKCssCorrectnessIT extends AnalyticsRestTestCase { + + private static volatile boolean provisioned = false; + private static final String INDEX = "parquet_hits"; + + private void ensureProvisioned() throws Exception { + if (!provisioned) { + // MULTI_SEGMENT (2 segments/shard) + low oversampling makes the CSS truncation + // bug reproducible on the local test cluster — each CSS partition independently + // truncates to a very small fetch limit, producing wrong results without the fix. + DatasetProvisioner.provision(client(), ClickBenchTestHelper.DATASET, 2, DatasetProvisioner.SegmentLayout.MULTI_SEGMENT); + Request req = new Request("PUT", "/_cluster/settings"); + req.setJsonEntity( + "{\"persistent\":{\"analytics.shard_bucket_oversampling_factor\": 0.1}}" + ); + client().performRequest(req); + provisioned = true; + } + } + + // ── case-01: multi-key, count/sum/avg, != filter ────────────────────────── + + public void testCase01_multiKeyCountSumAvg_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | where SearchPhrase != ''" + + " | stats count() as c, sum(IsRefresh), avg(ResolutionWidth)" + + " by SearchEngineID, ClientIP" + + " | sort - c, SearchEngineID, ClientIP | head 10" + ); + } + + // ── case-02: single-key count ──────────────────────────────────────────── + + public void testCase02_singleKeyCount_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats count() as c by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── case-03: distinct_count (HLL) ──────────────────────────────────────── + + public void testCase03_distinctCount_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats distinct_count(ClientIP) as dc by SearchEngineID" + + " | sort - dc, SearchEngineID | head 2" + ); + } + + // ── case-04: stddev / variance ─────────────────────────────────────────── + + public void testCase04_stddevVariance_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats stddev_samp(ResolutionWidth) as sd," + + " var_samp(ResolutionWidth) as vs," + + " var_pop(ResolutionWidth) as vp" + + " by SearchEngineID | sort SearchEngineID | head 10" + ); + } + + // ── case-05: scalar aggregate (no group-by, no TopK) ───────────────────── + + public void testCase05_scalarSums_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats sum(ResolutionWidth)," + + " sum(ResolutionWidth+1)," + + " sum(ResolutionWidth+2)," + + " count()" + ); + } + + // ── case-06: offset + limit ─────────────────────────────────────────────── + + public void testCase06_offsetLimit_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats count() as c by SearchEngineID" + + " | sort - c, SearchEngineID | head 2 from 1" + ); + } + + // ── case-07: min / max ──────────────────────────────────────────────────── + + public void testCase07_minMax_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats min(ResolutionWidth) as mn," + + " max(ResolutionWidth) as mx," + + " count() as c by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── case-08: avg + sum ──────────────────────────────────────────────────── + + public void testCase08_avgSum_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + // Sort by SearchEngineID (deterministic key, not count) to avoid tie-breaking flakiness. + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats avg(ResolutionWidth) as a," + + " sum(ResolutionWidth) as s," + + " count() as c by SearchEngineID" + + " | sort SearchEngineID | head 5" + ); + } + + // ── case-09a: agg permutation (count, sum, avg, min, max) ──────────────── + + public void testCase09a_permutation1_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats count() as c," + + " sum(IsRefresh) as si," + + " avg(ResolutionWidth) as a," + + " min(ResolutionWidth) as mn," + + " max(ResolutionWidth) as mx by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── case-09b: agg permutation (max, avg, count, min, sum) ──────────────── + + public void testCase09b_permutation2_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats max(ResolutionWidth) as mx," + + " avg(ResolutionWidth) as a," + + " count() as c," + + " min(ResolutionWidth) as mn," + + " sum(IsRefresh) as si by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── case-09c: agg permutation (avg, min, sum, max, count) ──────────────── + + public void testCase09c_permutation3_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats avg(ResolutionWidth) as a," + + " min(ResolutionWidth) as mn," + + " sum(IsRefresh) as si," + + " max(ResolutionWidth) as mx," + + " count() as c by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── case-10: no aliases ─────────────────────────────────────────────────── + + public void testCase10_noAliases_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats count(), sum(ResolutionWidth)," + + " avg(ResolutionWidth)," + + " min(ResolutionWidth)," + + " max(ResolutionWidth) by SearchEngineID" + + " | sort SearchEngineID | head 5" + ); + } + + // ── case-11: many aggs on same column ──────────────────────────────────── + + public void testCase11_manyAggsOnSameColumn_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats sum(ResolutionWidth)," + + " avg(ResolutionWidth)," + + " min(ResolutionWidth)," + + " max(ResolutionWidth)," + + " count(ResolutionWidth) by SearchEngineID" + + " | sort SearchEngineID | head 5" + ); + } + + // ── case-12: percentile ─────────────────────────────────────────────────── + + public void testCase12_percentile_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats percentile(ResolutionWidth, 50) as p50," + + " percentile(ResolutionWidth, 95) as p95 by SearchEngineID" + + " | sort SearchEngineID | head 5" + ); + } + + // ── case-13: mixed split + non-split (count/sum + percentile) ──────────── + + public void testCase13_mixedSplitAndNonSplit_cssMatchesNoCss() throws Exception { + ensureProvisioned(); + assertCssMatchesNoCss( + "source = " + INDEX + + " | stats count() as c," + + " sum(ResolutionWidth) as s," + + " percentile(ResolutionWidth, 50) as p50 by SearchEngineID" + + " | sort - c, SearchEngineID | head 2" + ); + } + + // ── Helpers ─────────────────────────────────────────────────────────────── + + /** + * Runs {@code ppl} with CSS off, then with CSS on (4 slices), and asserts the + * result rows are identical. Restores CSS-off after the check. + */ + private void assertCssMatchesNoCss(String ppl) throws Exception { + setCss("none", 0); + List> reference = rowsOf(executePPL(ppl)); + + setCss("all", 4); + List> withCss = rowsOf(executePPL(ppl)); + + assertEquals( + "CSS result differs from no-CSS reference for query: " + ppl, + reference, + withCss + ); + + setCss("none", 0); + } + + private void setCss(String mode, int sliceCount) throws Exception { + Request req = new Request("PUT", "/_cluster/settings"); + if (sliceCount > 0) { + req.setJsonEntity( + "{\"transient\":{\"search.concurrent_segment_search.mode\":\"" + + mode + + "\",\"search.concurrent.max_slice_count\":" + + sliceCount + + "}}" + ); + } else { + req.setJsonEntity( + "{\"transient\":{\"search.concurrent_segment_search.mode\":\"" + mode + "\"}}" + ); + } + client().performRequest(req); + } + + private Map executePPL(String ppl) throws Exception { + Request request = new Request("POST", "/_analytics/ppl"); + request.setJsonEntity("{\"query\": \"" + ppl + "\"}"); + Response response = client().performRequest(request); + return entityAsMap(response); + } + + private List> rowsOf(Map result) { + List rows = (List) result.get("rows"); + assertNotNull("response must have rows, got: " + result.keySet(), rows); + return (List>) rows; + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml index 6170ced6eb4fd..6a429ac754da8 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q10.plan.yaml @@ -30,12 +30,22 @@ plans: OpenSearchAggregate(group=[{0}], sum(AdvEngineID)=[SUM($1)], c=[SUM($2)], $f3=[SUM($3)], $f4=[SUM($4)], dc(UserID)=[APPROX_COUNT_DISTINCT($5)], mode=[FINAL], viableBackends=[[datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[RegionID@0 as RegionID, sum(.AdvEngineID)[sum]@1 as sum(AdvEngineID), count(Int64(1))[count]@2 as c, sum(.ResolutionWidth)[sum]@3 as $f3, count(.ResolutionWidth)[count]@4 as $f4, approx_distinct(.UserID)[hll_registers]@5 as dc(UserID)] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[RegionID@0 as RegionID, sum(.AdvEngineID)[sum]@1 as sum(AdvEngineID), count(Int64(1))[count]@2 as c, sum(.ResolutionWidth)[sum]@3 as $f3, count(.ResolutionWidth)[count]@4 as $f4, approx_distinct(.UserID)[hll_registers]@5 as dc(UserID)] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] - DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[sum(.AdvEngineID), count(Int64(1)), sum(.ResolutionWidth), count(.ResolutionWidth), approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, AdvEngineID, ResolutionWidth, UserID], file_type=parquet prod1s: post_cbo: | OpenSearchSort(sort0=[$1], sort1=[$4], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml index 541366637d238..f9e3a34107fd0 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q11.plan.yaml @@ -39,19 +39,23 @@ plans: SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] - FilterExec: MobilePhoneModel@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + AggregateExec: mode=PartialReduce, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhoneModel@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] shard_physical_nseg: | ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)@1 as u] SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] ProjectionExec: expr=[MobilePhoneModel@0 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] - FilterExec: MobilePhoneModel@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + AggregateExec: mode=PartialReduce, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhoneModel@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhoneModel@0 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] prod1s: post_cbo: | OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml index 936e2ca60afa4..be472def9d44e 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q12.plan.yaml @@ -39,19 +39,23 @@ plans: SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], preserve_partitioning=[true] ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@2 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@2) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] - FilterExec: MobilePhoneModel@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + AggregateExec: mode=PartialReduce, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhone@0, MobilePhoneModel@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] shard_physical_nseg: | ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)@2 as u] SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@3 DESC NULLS LAST, MobilePhone@0 ASC, MobilePhoneModel@1 ASC], preserve_partitioning=[true] ProjectionExec: expr=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel, approx_distinct(.UserID)[hll_registers]@2 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@2) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] - FilterExec: MobilePhoneModel@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] + AggregateExec: mode=PartialReduce, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([MobilePhone@0, MobilePhoneModel@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[MobilePhone@0 as MobilePhone, MobilePhoneModel@1 as MobilePhoneModel], aggr=[approx_distinct(.UserID)] + FilterExec: MobilePhoneModel@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[MobilePhone, MobilePhoneModel, UserID], file_type=parquet, predicate=MobilePhoneModel@33 != , pruning_predicate=MobilePhoneModel_null_count@2 != row_count@3 AND (MobilePhoneModel_min@0 != OR != MobilePhoneModel_max@1), required_guarantees=[MobilePhoneModel not in ()] prod1s: post_cbo: | OpenSearchSort(sort0=[$0], sort1=[$1], sort2=[$2], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], dir2=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml index d6c5e1f3183fd..55c166f8b6f69 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q13.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: SearchPhrase@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: SearchPhrase@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchPhrase@1 as SearchPhrase] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml index 7c51d6d91369e..d6a98b957524e 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q14.plan.yaml @@ -39,19 +39,23 @@ plans: SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] - FilterExec: SearchPhrase@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)@1 as u] SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST], preserve_partitioning=[true] ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] - FilterExec: SearchPhrase@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[approx_distinct(.UserID)] + FilterExec: SearchPhrase@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, UserID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] prod1s: post_cbo: | OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml index a98419f77dc43..c49bb90836312 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q15.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as c] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: SearchPhrase@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchEngineID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as c] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: SearchPhrase@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchEngineID@0, SearchPhrase@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: SearchPhrase@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchEngineID@1 as SearchEngineID, SearchPhrase@2 as SearchPhrase] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@1 ASC, SearchPhrase@2 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml index 821b0852f7ebf..b7e3bbf32f926 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q16.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0}], count()=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[UserID@0 as UserID, count(Int64(1))[count]@1 as count()] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[UserID@0 as UserID, count(Int64(1))[count]@1 as count()] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, UserID@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID] SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml index da84469453510..3130f1842d8d0 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q17.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml index 2ed82535c2792..6f107ca7318d3 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q18.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0, 1}], count()=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] + SortPreservingMergeExec: [UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ] + shard_physical_nseg: | ProjectionExec: expr=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase, count(Int64(1))[count]@2 as count()] SortPreservingMergeExec: [UserID@0 ASC, SearchPhrase@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[UserID@0 ASC, SearchPhrase@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ], pruning_predicate=, required_guarantees=[] + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, SearchPhrase@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, SearchPhrase@1 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, SearchPhrase], file_type=parquet, predicate=DynamicFilter [ ] coord_physical: | ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, SearchPhrase@2 as SearchPhrase] SortPreservingMergeExec: [UserID@1 ASC, SearchPhrase@2 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml index 10bdd10241338..8c458adde5771 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q19.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0, 1, 2}], count()=[SUM($3)], mode=[FINAL], viableBackends=[[datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as m, SearchPhrase@2 as SearchPhrase, count(Int64(1))[count]@3 as count()] + SortPreservingMergeExec: [count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, opensearch_extract(Utf8("minute"),.EventTime)@1, SearchPhrase@2], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as m, SearchPhrase@2 as SearchPhrase, count(Int64(1))[count]@3 as count()] SortPreservingMergeExec: [count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@3 DESC NULLS LAST, UserID@0 ASC, opensearch_extract(Utf8("minute"),.EventTime)@1 ASC, SearchPhrase@2 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([UserID@0, opensearch_extract(Utf8("minute"),.EventTime)@1, SearchPhrase@2], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[UserID@0 as UserID, opensearch_extract(Utf8("minute"),.EventTime)@1 as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase@2 as SearchPhrase], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[UserID, opensearch_extract(minute, CAST(EventTime@18 AS Timestamp(µs))) as opensearch_extract(Utf8("minute"),.EventTime), SearchPhrase], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.count())@0 as count(), UserID@1 as UserID, m@2 as m, SearchPhrase@3 as SearchPhrase] SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, UserID@1 ASC, m@2 ASC, SearchPhrase@3 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml index fb073fdd2f80a..5f6df8d5e5e84 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q22.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] - FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1))] + FilterExec: URL@1 ILIKE %google% AND SearchPhrase@0 != , projection=[SearchPhrase@0] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, URL], file_type=parquet, predicate=URL@27 ILIKE %google% AND SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, SearchPhrase@1 as SearchPhrase] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml index 365b4fd20fcc8..a7a168c652a60 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q23.plan.yaml @@ -2,7 +2,7 @@ # Compound predicate on parquet DataSourceExec with grouped count+dc(HLL) and TopK. query: q23 ppl_file: q23.ppl -applies: [prod2s] +applies: [prod2s, prod1s] plans: prod2s: post_cbo: | @@ -34,15 +34,61 @@ plans: ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c, approx_distinct(.UserID)[hll_registers]@2 as dc(UserID)] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] - FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchPhrase@0 as SearchPhrase, count(Int64(1))[count]@1 as c, approx_distinct(.UserID)[hll_registers]@2 as dc(UserID)] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] - FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + prod1s: + post_cbo: | + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], dc(UserID)=[$2], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], dc(UserID)=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($83, '%Google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')), NOT(ANNOTATED_PREDICATE(id=2, backends=[datafusion], ILIKE($85, '%.google.%', '\'))))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + fragment: | + [SHARD_FRAGMENT chosen_backend=datafusion tree_shape=NONE] + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10000], viableBackends=[[datafusion]]) + OpenSearchSort(sort0=[$0], dir0=[DESC-nulls-last], fetch=[10], viableBackends=[[datafusion]]) + OpenSearchProject(c=[$1], dc(UserID)=[$2], SearchPhrase=[$0], viableBackends=[[datafusion]]) + OpenSearchAggregate(group=[{0}], c=[COUNT()], dc(UserID)=[APPROX_COUNT_DISTINCT($1)], mode=[SINGLE], viableBackends=[[datafusion]]) + OpenSearchProject(SearchPhrase=[$74], UserID=[$97], viableBackends=[[datafusion]]) + OpenSearchFilter(condition=[AND(ANNOTATED_PREDICATE(id=0, backends=[datafusion], ILIKE($83, '%Google%', '\')), ANNOTATED_PREDICATE(id=1, backends=[datafusion], <>($74, '')), NOT(ANNOTATED_PREDICATE(id=2, backends=[datafusion], ILIKE($85, '%.google.%', '\'))))], viableBackends=[[datafusion]]) + OpenSearchTableScan(table=[[]], viableBackends=[[lucene, datafusion]]) + shard_physical_1seg: | + RelabelExec: schema=Schema { fields: [Field { name: "c", data_type: Int64 }, Field { name: "dc(UserID)", data_type: Int64, nullable: true }, Field { name: "SearchPhrase", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[count(Int64(1))@0 as c, approx_distinct(.UserID)@1 as dc(UserID), SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), approx_distinct(.UserID)@2 as approx_distinct(.UserID), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + shard_physical_nseg: | + RelabelExec: schema=Schema { fields: [Field { name: "c", data_type: Int64 }, Field { name: "dc(UserID)", data_type: Int64, nullable: true }, Field { name: "SearchPhrase", data_type: Utf8View, nullable: true }], metadata: {} } + ProjectionExec: expr=[count(Int64(1))@0 as c, approx_distinct(.UserID)@1 as dc(UserID), SearchPhrase@2 as SearchPhrase] + SortPreservingMergeExec: [count(Int64(1))@0 DESC NULLS LAST], fetch=10 + SortExec: TopK(fetch=10), expr=[count(Int64(1))@0 DESC NULLS LAST], preserve_partitioning=[true] + ProjectionExec: expr=[count(Int64(1))@1 as count(Int64(1)), approx_distinct(.UserID)@2 as approx_distinct(.UserID), SearchPhrase@0 as SearchPhrase] + AggregateExec: mode=FinalPartitioned, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([SearchPhrase@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchPhrase@0 as SearchPhrase], aggr=[count(Int64(1)), approx_distinct(.UserID)] + FilterExec: Title@1 ILIKE %Google% AND SearchPhrase@0 != AND URL@2 NOT ILIKE %.google.%, projection=[SearchPhrase@0, UserID@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[SearchPhrase, Title, URL, UserID], file_type=parquet, predicate=Title@101 ILIKE %Google% AND SearchPhrase@63 != AND URL@27 NOT ILIKE %.google.%, pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml index 3bb10ef913a8e..6a0325faf4c97 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q28.plan.yaml @@ -38,20 +38,24 @@ plans: ProjectionExec: expr=[CounterID@0 as CounterID, sum(character_length(.URL))[sum]@1 as $f1, count(character_length(.URL))[count]@2 as $f2, count(Int64(1))[count]@3 as c] SortPreservingMergeExec: [sum(character_length(.URL))@1 DESC NULLS LAST], fetch=75 SortExec: TopK(fetch=75), expr=[sum(character_length(.URL))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] - ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] - FilterExec: URL@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] + AggregateExec: mode=PartialReduce, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + RepartitionExec: partitioning=Hash([CounterID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] shard_physical_nseg: | ProjectionExec: expr=[CounterID@0 as CounterID, sum(character_length(.URL))[sum]@1 as $f1, count(character_length(.URL))[count]@2 as $f2, count(Int64(1))[count]@3 as c] SortPreservingMergeExec: [sum(character_length(.URL))@1 DESC NULLS LAST], fetch=75 SortExec: TopK(fetch=75), expr=[sum(character_length(.URL))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] - ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] - FilterExec: URL@1 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] + AggregateExec: mode=PartialReduce, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + RepartitionExec: partitioning=Hash([CounterID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[CounterID@0 as CounterID], aggr=[sum(character_length(.URL)), count(character_length(.URL)), count(Int64(1))] + ProjectionExec: expr=[CounterID@0 as CounterID, character_length(URL@1) as character_length(.URL)] + FilterExec: URL@1 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, URL], file_type=parquet, predicate=URL@27 != , pruning_predicate=URL_null_count@2 != row_count@3 AND (URL_min@0 != OR != URL_max@1), required_guarantees=[URL not in ()] coord_physical: | ProjectionExec: expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 as l, sum(input-0.c)@1 as c, CounterID@2 as CounterID] SortPreservingMergeExec: [CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], fetch=25 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml index 090a6fb1dbd12..1a6d7c0b81c89 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q29.plan.yaml @@ -38,20 +38,24 @@ plans: ProjectionExec: expr=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as k, sum(character_length(.Referer))[sum]@1 as $f1, count(character_length(.Referer))[count]@2 as $f2, count(Int64(1))[count]@3 as c, min(.Referer)[value]@4 as min(Referer)] SortPreservingMergeExec: [sum(character_length(.Referer))@1 DESC NULLS LAST], fetch=75 SortExec: TopK(fetch=75), expr=[sum(character_length(.Referer))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] - ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] - FilterExec: Referer@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] + AggregateExec: mode=PartialReduce, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + RepartitionExec: partitioning=Hash([regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] shard_physical_nseg: | ProjectionExec: expr=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as k, sum(character_length(.Referer))[sum]@1 as $f1, count(character_length(.Referer))[count]@2 as $f2, count(Int64(1))[count]@3 as c, min(.Referer)[value]@4 as min(Referer)] SortPreservingMergeExec: [sum(character_length(.Referer))@1 DESC NULLS LAST], fetch=75 SortExec: TopK(fetch=75), expr=[sum(character_length(.Referer))@1 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] - ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] - FilterExec: Referer@0 != - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] + AggregateExec: mode=PartialReduce, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + RepartitionExec: partitioning=Hash([regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))@0 as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g"))], aggr=[sum(character_length(.Referer)), count(character_length(.Referer)), count(Int64(1)), min(.Referer)] + ProjectionExec: expr=[regexp_replace(Referer@0, ^https?://(?:www\.)?([^/]+)/.*$, ${1}, g) as regexp_replace(.Referer,Utf8("^https?://(?:www\.)?([^/]+)/.*$"),Utf8("${1}"),Utf8("g")), Referer@0 as Referer, character_length(Referer@0) as character_length(.Referer)] + FilterExec: Referer@0 != + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[Referer], file_type=parquet, predicate=Referer@100 != , pruning_predicate=Referer_null_count@2 != row_count@3 AND (Referer_min@0 != OR != Referer_max@1), required_guarantees=[Referer not in ()] coord_physical: | ProjectionExec: expr=[CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 as l, sum(input-0.c)@1 as c, min(input-0.min(Referer))@2 as min(Referer), k@3 as k] SortPreservingMergeExec: [CASE WHEN sum(input-0.$f2) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f1) / sum(input-0.$f2) END@0 DESC NULLS LAST], fetch=25 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml index a0030b3e6d5f8..bf513cd933359 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q31.plan.yaml @@ -36,18 +36,22 @@ plans: ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] - FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, SearchEngineID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] - FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([SearchEngineID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[SearchEngineID@0 as SearchEngineID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@4 != , projection=[SearchEngineID@3, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchEngineID, SearchPhrase], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), SearchEngineID@3 as SearchEngineID, ClientIP@4 as ClientIP] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, SearchEngineID@3 ASC, ClientIP@4 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml index 6195dc4984ff1..c22ecb2044843 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q32.plan.yaml @@ -36,18 +36,22 @@ plans: ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] - FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] shard_physical_nseg: | ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] - FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] + AggregateExec: mode=PartialReduce, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + FilterExec: SearchPhrase@3 != , projection=[WatchID@4, ClientIP@0, IsRefresh@1, ResolutionWidth@2] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[ClientIP, IsRefresh, ResolutionWidth, SearchPhrase, WatchID], file_type=parquet, predicate=SearchPhrase@63 != , pruning_predicate=SearchPhrase_null_count@2 != row_count@3 AND (SearchPhrase_min@0 != OR != SearchPhrase_max@1), required_guarantees=[SearchPhrase not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml index 4c173f915aacb..39d406f24edec 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q33.plan.yaml @@ -30,12 +30,22 @@ plans: OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], sum(IsRefresh)=[SUM($3)], $f4=[SUM($4)], $f5=[SUM($5)], mode=[FINAL], viableBackends=[[datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[WatchID@0 as WatchID, ClientIP@1 as ClientIP, count(Int64(1))[count]@2 as c, sum(.IsRefresh)[sum]@3 as sum(IsRefresh), sum(.ResolutionWidth)[sum]@4 as $f4, count(.ResolutionWidth)[count]@5 as $f5] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST, WatchID@0 ASC, ClientIP@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] - DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + RepartitionExec: partitioning=Hash([WatchID@0, ClientIP@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[WatchID@0 as WatchID, ClientIP@1 as ClientIP], aggr=[count(Int64(1)), sum(.IsRefresh), sum(.ResolutionWidth), count(.ResolutionWidth)] + DataSourceExec: file_groups={}, projection=[WatchID, ClientIP, IsRefresh, ResolutionWidth], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, sum(input-0.sum(IsRefresh))@1 as sum(IsRefresh), CASE WHEN sum(input-0.$f5) = Int64(0) THEN Float64(NULL) ELSE sum(input-0.$f4) / sum(input-0.$f5) END@2 as avg(ResolutionWidth), WatchID@3 as WatchID, ClientIP@4 as ClientIP] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, WatchID@3 ASC, ClientIP@4 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml index 6c4266fdd2dd6..f5a3106abd076 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q34.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0}], c=[SUM($1)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as c] + SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as c] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[URL], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[URL], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, URL@1 as URL] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, URL@1 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml index 77cc0b79c710d..a19b87863992f 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q35.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0, 1}], c=[SUM($2)], mode=[FINAL], viableBackends=[[lucene, datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[Int32(1)@0 as const, URL@1 as URL, count(Int64(1))[count]@2 as c] + SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + RepartitionExec: partitioning=Hash([Int32(1)@0, URL@1], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[Int32(1)@0 as const, URL@1 as URL, count(Int64(1))[count]@2 as c] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@2 DESC NULLS LAST], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) - DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + RepartitionExec: partitioning=Hash([Int32(1)@0, URL@1], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[Int32(1)@0 as Int32(1), URL@1 as URL], aggr=[count(Int64(1))], ordering_mode=PartiallySorted([0]) + DataSourceExec: file_groups={}, projection=[1 as Int32(1), URL], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, Int32(1)@1 as const, URL@2 as URL] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml index ec6db780ecd6f..12b831f4b5d4f 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q36.plan.yaml @@ -28,12 +28,22 @@ plans: OpenSearchAggregate(group=[{0, 1, 2, 3}], c=[SUM($4)], mode=[FINAL], viableBackends=[[datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as ClientIP - 1, .ClientIP - Int32(2)@2 as ClientIP - 2, .ClientIP - Int32(3)@3 as ClientIP - 3, count(Int64(1))[count]@4 as c] + SortPreservingMergeExec: [count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], preserve_partitioning=[true] + AggregateExec: mode=PartialReduce, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([ClientIP@0, .ClientIP - Int32(1)@1, .ClientIP - Int32(2)@2, .ClientIP - Int32(3)@3], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as ClientIP - 1, .ClientIP - Int32(2)@2 as ClientIP - 2, .ClientIP - Int32(3)@3 as ClientIP - 3, count(Int64(1))[count]@4 as c] SortPreservingMergeExec: [count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@4 DESC NULLS LAST, ClientIP@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] - DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([ClientIP@0, .ClientIP - Int32(1)@1, .ClientIP - Int32(2)@2, .ClientIP - Int32(3)@3], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[ClientIP@0 as ClientIP, .ClientIP - Int32(1)@1 as .ClientIP - Int32(1), .ClientIP - Int32(2)@2 as .ClientIP - Int32(2), .ClientIP - Int32(3)@3 as .ClientIP - Int32(3)], aggr=[count(Int64(1))] + DataSourceExec: file_groups={}, projection=[ClientIP, ClientIP@79 - 1 as .ClientIP - Int32(1), ClientIP@79 - 2 as .ClientIP - Int32(2), ClientIP@79 - 3 as .ClientIP - Int32(3)], file_type=parquet coord_physical: | ProjectionExec: expr=[sum(input-0.c)@0 as c, ClientIP@1 as ClientIP, ClientIP - 1@2 as ClientIP - 1, ClientIP - 2@3 as ClientIP - 2, ClientIP - 3@4 as ClientIP - 3] SortPreservingMergeExec: [sum(input-0.c)@0 DESC NULLS LAST, ClientIP@1 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml index dcfa7ed65d4ba..c1426e00eb1c9 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q37.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] shard_physical_nseg: | ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND URL@4 != , projection=[URL@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND URL@27 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND URL_null_count@15 != row_count@3 AND (URL_min@13 != OR != URL_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URL not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URL@1 as URL] SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, URL@1 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml index 4f3def2cc61f6..19844344bf357 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q38.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[Title@0 as Title, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] + AggregateExec: mode=PartialReduce, gby=[Title@0 as Title], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([Title@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] shard_physical_nseg: | ProjectionExec: expr=[Title@0 as Title, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[count(Int64(1))@1 DESC NULLS LAST, Title@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] + AggregateExec: mode=PartialReduce, gby=[Title@0 as Title], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([Title@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[Title@0 as Title], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND DontCountHits@1 = 0 AND IsRefresh@3 = 0 AND Title@4 != , projection=[Title@4] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, Title], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND DontCountHits@43 = 0 AND IsRefresh@74 = 0 AND Title@101 != , pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND DontCountHits_null_count@9 != row_count@3 AND DontCountHits_min@7 <= 0 AND 0 <= DontCountHits_max@8 AND IsRefresh_null_count@12 != row_count@3 AND IsRefresh_min@10 <= 0 AND 0 <= IsRefresh_max@11 AND Title_null_count@15 != row_count@3 AND (Title_min@13 != OR != Title_max@14), required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), Title not in ()] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, Title@1 as Title] SortPreservingMergeExec: [sum(input-0.PageViews)@0 DESC NULLS LAST, Title@1 ASC], fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml index c05744ac30d98..34756cc0ac24b 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q39.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] shard_physical_nseg: | ProjectionExec: expr=[URL@0 as URL, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@1 DESC NULLS LAST, URL@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[URL@0 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URL@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URL@0 as URL], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@4 = 0 AND IsLink@3 != 0 AND IsDownload@2 = 0, projection=[URL@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsDownload, IsLink, IsRefresh, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND IsLink@49 != 0 AND IsDownload@36 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND IsLink_null_count@12 != row_count@3 AND (IsLink_min@10 != 0 OR 0 != IsLink_max@11) AND IsDownload_null_count@15 != row_count@3 AND IsDownload_min@13 <= 0 AND 0 <= IsDownload_max@14, required_guarantees=[CounterID in (62), IsDownload in (0), IsLink not in (0), IsRefresh in (0)] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URL@1 as URL] GlobalLimitExec: skip=5, fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml index 504fc7ef167b9..52dbe24503e3f 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q40.plan.yaml @@ -34,20 +34,24 @@ plans: ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as Src, URL@4 as Dst, count(Int64(1))[count]@5 as PageViews] SortPreservingMergeExec: [count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] - ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] - FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([TraficSourceID@0, SearchEngineID@1, AdvEngineID@2, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3, URL@4], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] shard_physical_nseg: | ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as Src, URL@4 as Dst, count(Int64(1))[count]@5 as PageViews] SortPreservingMergeExec: [count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@5 DESC NULLS LAST, TraficSourceID@0 ASC, SearchEngineID@1 ASC, AdvEngineID@2 ASC, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 ASC, URL@4 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] - ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] - FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([TraficSourceID@0, SearchEngineID@1, AdvEngineID@2, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3, URL@4], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END@3 as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL], aggr=[count(Int64(1))] + ProjectionExec: expr=[TraficSourceID@0 as TraficSourceID, SearchEngineID@1 as SearchEngineID, AdvEngineID@2 as AdvEngineID, CASE WHEN SearchEngineID@1 = 0 AND AdvEngineID@2 = 0 THEN Referer@3 ELSE END as CASE WHEN .SearchEngineID = Int32(0) AND .AdvEngineID = Int32(0) THEN .Referer ELSE Utf8("") END, URL@4 as URL] + FilterExec: CounterID@1 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0, projection=[TraficSourceID@6, SearchEngineID@5, AdvEngineID@0, Referer@4, URL@7] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID, CounterID, EventDate, IsRefresh, Referer, SearchEngineID, TraficSourceID, URL], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8, required_guarantees=[CounterID in (62), IsRefresh in (0)] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, TraficSourceID@1 as TraficSourceID, SearchEngineID@2 as SearchEngineID, AdvEngineID@3 as AdvEngineID, Src@4 as Src, Dst@5 as Dst] GlobalLimitExec: skip=5, fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml index 05583d0830b46..6de64fa9aabc0 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q41.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[URLHash@0 as URLHash, EventDate@1 as EventDate, count(Int64(1))[count]@2 as PageViews] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], fetch=36 SortExec: TopK(fetch=36), expr=[count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] + AggregateExec: mode=PartialReduce, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URLHash@0, EventDate@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] shard_physical_nseg: | ProjectionExec: expr=[URLHash@0 as URLHash, EventDate@1 as EventDate, count(Int64(1))[count]@2 as PageViews] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], fetch=36 SortExec: TopK(fetch=36), expr=[count(Int64(1))@2 DESC NULLS LAST, URLHash@0 ASC, EventDate@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] + AggregateExec: mode=PartialReduce, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([URLHash@0, EventDate@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[URLHash@0 as URLHash, EventDate@1 as EventDate], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@1 >= 1372636800000 AND EventDate@1 <= 1375228800000 AND IsRefresh@2 = 0 AND (TraficSourceID@4 = -1 OR TraficSourceID@4 = 6) AND RefererHash@3 = 3594120000172545465, projection=[URLHash@5, EventDate@1] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, EventDate, IsRefresh, RefererHash, TraficSourceID, URLHash], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND (TraficSourceID@13 = -1 OR TraficSourceID@13 = 6) AND RefererHash@12 = 3594120000172545465, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND (TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= -1 AND -1 <= TraficSourceID_max@11 OR TraficSourceID_null_count@12 != row_count@3 AND TraficSourceID_min@10 <= 6 AND 6 <= TraficSourceID_max@11) AND RefererHash_null_count@15 != row_count@3 AND RefererHash_min@13 <= 3594120000172545465 AND 3594120000172545465 <= RefererHash_max@14, required_guarantees=[CounterID in (62), IsRefresh in (0), RefererHash in (3594120000172545465), TraficSourceID in (-1, 6)] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, URLHash@1 as URLHash, EventDate@2 as EventDate] GlobalLimitExec: skip=2, fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml index f0d7442406edd..2083105e1ede4 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q42.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight, count(Int64(1))[count]@2 as PageViews] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] + AggregateExec: mode=PartialReduce, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([WindowClientWidth@0, WindowClientHeight@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] shard_physical_nseg: | ProjectionExec: expr=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight, count(Int64(1))[count]@2 as PageViews] SortPreservingMergeExec: [count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[count(Int64(1))@2 DESC NULLS LAST, WindowClientWidth@0 ASC, WindowClientHeight@1 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] + AggregateExec: mode=PartialReduce, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([WindowClientWidth@0, WindowClientHeight@1], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[WindowClientWidth@0 as WindowClientWidth, WindowClientHeight@1 as WindowClientHeight], aggr=[count(Int64(1))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1372636800000 AND EventDate@2 <= 1375228800000 AND IsRefresh@3 = 0 AND DontCountHits@1 = 0 AND URLHash@4 = 2868770270353813622, projection=[WindowClientWidth@6, WindowClientHeight@5] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, IsRefresh, URLHash, WindowClientHeight, WindowClientWidth], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1372636800000 AND EventDate@0 <= 1375228800000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND URLHash@26 = 2868770270353813622, pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1372636800000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1375228800000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11 AND URLHash_null_count@15 != row_count@3 AND URLHash_min@13 <= 2868770270353813622 AND 2868770270353813622 <= URLHash_max@14, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0), URLHash in (2868770270353813622)] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, WindowClientWidth@1 as WindowClientWidth, WindowClientHeight@2 as WindowClientHeight] GlobalLimitExec: skip=5, fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml index ff47d0a295934..fa82fdefd7984 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q43.plan.yaml @@ -34,20 +34,24 @@ plans: ProjectionExec: expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as M, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] - ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] shard_physical_nseg: | ProjectionExec: expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as M, count(Int64(1))[count]@1 as PageViews] SortPreservingMergeExec: [date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], fetch=45 SortExec: TopK(fetch=45), expr=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] - ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] - FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] + AggregateExec: mode=PartialReduce, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))@0 as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))], aggr=[count(Int64(1))] + ProjectionExec: expr=[date_format(CAST(EventTime@0 AS Timestamp(µs)), %Y-%m-%d %H:%i:00) as date_format(.EventTime,Utf8("%Y-%m-%d %H:%i:00"))] + FilterExec: CounterID@0 = 62 AND EventDate@2 >= 1373760000000 AND EventDate@2 <= 1373846400000 AND IsRefresh@4 = 0 AND DontCountHits@1 = 0, projection=[EventTime@3] + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[CounterID, DontCountHits, EventDate, EventTime, IsRefresh], file_type=parquet, predicate=CounterID@107 = 62 AND EventDate@0 >= 1373760000000 AND EventDate@0 <= 1373846400000 AND IsRefresh@74 = 0 AND DontCountHits@43 = 0 AND DynamicFilter [ ], pruning_predicate=CounterID_null_count@2 != row_count@3 AND CounterID_min@0 <= 62 AND 62 <= CounterID_max@1 AND EventDate_null_count@5 != row_count@3 AND EventDate_max@4 >= 1373760000000 AND EventDate_null_count@5 != row_count@3 AND EventDate_min@6 <= 1373846400000 AND IsRefresh_null_count@9 != row_count@3 AND IsRefresh_min@7 <= 0 AND 0 <= IsRefresh_max@8 AND DontCountHits_null_count@12 != row_count@3 AND DontCountHits_min@10 <= 0 AND 0 <= DontCountHits_max@11, required_guarantees=[CounterID in (62), DontCountHits in (0), IsRefresh in (0)] coord_physical: | ProjectionExec: expr=[sum(input-0.PageViews)@0 as PageViews, M@1 as M] GlobalLimitExec: skip=5, fetch=10 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml index a4e1ed1ae7ec5..b411ccfe5f8c3 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q8.plan.yaml @@ -34,18 +34,22 @@ plans: ProjectionExec: expr=[AdvEngineID@0 as AdvEngineID, count(Int64(1))[count]@1 as count()] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], fetch=30000 SortExec: TopK(fetch=30000), expr=[count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] - FilterExec: AdvEngineID@0 != 0 - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 - DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + AggregateExec: mode=PartialReduce, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([AdvEngineID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=1 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] shard_physical_nseg: | ProjectionExec: expr=[AdvEngineID@0 as AdvEngineID, count(Int64(1))[count]@1 as count()] SortPreservingMergeExec: [count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], fetch=30000 SortExec: TopK(fetch=30000), expr=[count(Int64(1))@1 DESC NULLS LAST, AdvEngineID@0 ASC], preserve_partitioning=[true] - AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] - FilterExec: AdvEngineID@0 != 0 - RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 - DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] + AggregateExec: mode=PartialReduce, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + RepartitionExec: partitioning=Hash([AdvEngineID@0], 4), input_partitions=4 + AggregateExec: mode=Partial, gby=[AdvEngineID@0 as AdvEngineID], aggr=[count(Int64(1))] + FilterExec: AdvEngineID@0 != 0 + RepartitionExec: partitioning=RoundRobinBatch(4), input_partitions=2 + DataSourceExec: file_groups={}, projection=[AdvEngineID], file_type=parquet, predicate=AdvEngineID@20 != 0, pruning_predicate=AdvEngineID_null_count@2 != row_count@3 AND (AdvEngineID_min@0 != 0 OR 0 != AdvEngineID_max@1), required_guarantees=[AdvEngineID not in (0)] coord_physical: | ProjectionExec: expr=[sum(input-0.count())@0 as count(), AdvEngineID@1 as AdvEngineID] SortPreservingMergeExec: [sum(input-0.count())@0 DESC NULLS LAST, AdvEngineID@1 ASC], fetch=10000 diff --git a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml index 87d1370c7f4f9..7e305e292799a 100644 --- a/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml +++ b/sandbox/qa/analytics-engine-rest/src/test/resources/planshape/clickbench/q9.plan.yaml @@ -32,13 +32,24 @@ plans: OpenSearchAggregate(group=[{0}], u=[APPROX_COUNT_DISTINCT($1)], mode=[FINAL], viableBackends=[[datafusion]]) OpenSearchExchangeReducer(viableBackends=[[datafusion]], exchange=[ExchangeInfo[distributionType=SINGLETON, partitionKeyIndices=[]]]) OpenSearchStageInputScan(childStageId=[0], viableBackends=[[datafusion]]) - shard_physical: | + shard_physical_1seg: | + ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)@1 as u] + SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 + SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] + ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] + AggregateExec: mode=PartialReduce, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=1 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet + shard_physical_nseg: | ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)@1 as u] SortPreservingMergeExec: [reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], fetch=30 SortExec: TopK(fetch=30), expr=[reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))@2 DESC NULLS LAST, RegionID@0 ASC], preserve_partitioning=[true] ProjectionExec: expr=[RegionID@0 as RegionID, approx_distinct(.UserID)[hll_registers]@1 as approx_distinct(.UserID), reduce_eval(approx_distinct, approx_distinct(.UserID)[hll_registers]@1) as reduce_eval(Utf8("approx_distinct"),approx_distinct(.UserID))] - AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] - DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet + AggregateExec: mode=PartialReduce, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + RepartitionExec: partitioning=Hash([RegionID@0], 4), input_partitions=2 + AggregateExec: mode=Partial, gby=[RegionID@0 as RegionID], aggr=[approx_distinct(.UserID)] + DataSourceExec: file_groups={}, projection=[RegionID, UserID], file_type=parquet prod1s: post_cbo: | OpenSearchSort(sort0=[$0], sort1=[$1], dir0=[DESC-nulls-last], dir1=[ASC-nulls-first], fetch=[10000], viableBackends=[[datafusion]]) From d92bca1d295301ffcf6345ba3aa96675d25b68f6 Mon Sep 17 00:00:00 2001 From: Lantao Jin Date: Thu, 2 Jul 2026 14:48:36 +0800 Subject: [PATCH 77/94] Fix flaky DataFormatAwareReplicaGetByIdIT when zero docs are indexed (#22365) Signed-off-by: Lantao Jin --- .../composite/DataFormatAwareReplicaGetByIdIT.java | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java index 273492121ee5d..695369c48d964 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwareReplicaGetByIdIT.java @@ -26,9 +26,11 @@ public class DataFormatAwareReplicaGetByIdIT extends DataFormatAwareReplicationBaseIT { public void testGetByIdFromReplica() throws Exception { - int maxDocs = randomInt(20); + // At least one doc: assertCatalogSnapshotsConverged asserts the lucene index/ has segment + // data files beyond segments_N, which an empty index never produces (randomInt(20) can be 0). + int maxDocs = randomIntBetween(1, 20); createDfaIndex(1); // 1 replica, 2 data nodes (from base) - List ids = indexDocs(maxDocs); // ids 0..19, RefreshPolicy.NONE + List ids = indexDocs(maxDocs); // ids 1..20, RefreshPolicy.NONE client().admin().indices().prepareRefresh(INDEX_NAME).get(); // Ensure the replica's catalog has converged with the primary (segments replicated). assertCatalogSnapshotsConverged(INDEX_NAME); From 7a804b067e38a65fbb9a2866e252b585b68978a4 Mon Sep 17 00:00:00 2001 From: Lantao Jin Date: Thu, 2 Jul 2026 15:59:20 +0800 Subject: [PATCH 78/94] [analytics-engine] Fix flaky rust test: concurrent_shard_warmup_does_not_corrupt (#22327) Signed-off-by: Lantao Jin Co-authored-by: gaobinlong --- .../rust/src/tiered_storage_integration_tests.rs | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs index 5ed3db79799f4..b8e87fc2c171e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs @@ -852,6 +852,13 @@ fn concurrent_shard_warmup_does_not_corrupt() { handle.await.unwrap(); } + // put_metadata is fire-and-forget into Foyer's disk-only storage (memory tier = 1 byte); + // insert() returns before the storage flusher persists the entry. Under heavy parallel load + // (full test suite) a get() issued immediately after can miss an entry still queued in the + // write buffer. Drain the flusher first — its documented post-condition is "all previously + // put() entries are on SSD and findable via get()" — so the verification reads are deterministic. + cache.wait_for_flush().await; + // Verify each file's metadata is independently correct for (filename, file_size, expected_bytes) in &file_info { let footer_start = file_size.saturating_sub(8 * 1024); From 94b700b3bbb2b9e97b596d52592d4d7e8e6607fa Mon Sep 17 00:00:00 2001 From: Harshita Kaushik <112249538+harshitakaushik-dev@users.noreply.github.com> Date: Thu, 2 Jul 2026 19:12:33 +0530 Subject: [PATCH 79/94] Fix ReplicationCheckpoint.compareTo to honor the Comparator contract (#22376) ReplicationCheckpoint.compareTo returned a non-zero value for equal checkpoints (it never returned 0), which violates the Comparable/Comparator contract (antisymmetry: sgn(a.compareTo(b)) == -sgn(b.compareTo(a))). Signed-off-by: Harshita Kaushik --- .../checkpoint/ReplicationCheckpoint.java | 8 +- .../SegmentReplicationIndexShardTests.java | 4 +- .../ReplicationCheckpointTests.java | 74 +++++++++++++++++++ 3 files changed, 83 insertions(+), 3 deletions(-) create mode 100644 server/src/test/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpointTests.java diff --git a/server/src/main/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpoint.java b/server/src/main/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpoint.java index 39c2039191def..dbf100af0ddb8 100644 --- a/server/src/main/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpoint.java +++ b/server/src/main/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpoint.java @@ -196,7 +196,13 @@ public void writeTo(StreamOutput out) throws IOException { @Override public int compareTo(ReplicationCheckpoint other) { - return this.isAheadOf(other) ? -1 : 1; + if (this.isAheadOf(other)) { + return -1; + } + if (other.isAheadOf(this)) { + return 1; + } + return 0; } @Override diff --git a/server/src/test/java/org/opensearch/index/shard/SegmentReplicationIndexShardTests.java b/server/src/test/java/org/opensearch/index/shard/SegmentReplicationIndexShardTests.java index dd668d9515579..273702c160256 100644 --- a/server/src/test/java/org/opensearch/index/shard/SegmentReplicationIndexShardTests.java +++ b/server/src/test/java/org/opensearch/index/shard/SegmentReplicationIndexShardTests.java @@ -389,7 +389,7 @@ public void testSegmentInfosAndReplicationCheckpointTuple() throws Exception { } // We use compareTo here instead of equals because we ignore segments gen with replicas performing their own commits. // However infos version we expect to be equal. - assertEquals(1, primary.getLatestReplicationCheckpoint().compareTo(replica.getLatestReplicationCheckpoint())); + assertEquals(0, primary.getLatestReplicationCheckpoint().compareTo(replica.getLatestReplicationCheckpoint())); // index and copy segments to replica. int numDocs = randomIntBetween(10, 20); @@ -411,7 +411,7 @@ public void testSegmentInfosAndReplicationCheckpointTuple() throws Exception { try (final GatedCloseable gatedCloseable = replicaTuple.v1()) { assertReplicationCheckpoint(replica, gatedCloseable.get(), replicaTuple.v2()); } - assertEquals(1, primary.getLatestReplicationCheckpoint().compareTo(replica.getLatestReplicationCheckpoint())); + assertEquals(0, primary.getLatestReplicationCheckpoint().compareTo(replica.getLatestReplicationCheckpoint())); } } diff --git a/server/src/test/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpointTests.java b/server/src/test/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpointTests.java new file mode 100644 index 0000000000000..8c1cde40652d4 --- /dev/null +++ b/server/src/test/java/org/opensearch/indices/replication/checkpoint/ReplicationCheckpointTests.java @@ -0,0 +1,74 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.indices.replication.checkpoint; + +import org.apache.lucene.codecs.Codec; +import org.opensearch.core.index.Index; +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.ArrayList; +import java.util.Collections; +import java.util.Comparator; +import java.util.List; + +public class ReplicationCheckpointTests extends OpenSearchTestCase { + + private static final ShardId SHARD_ID = new ShardId(new Index("index", "uuid"), 0); + private static final String CODEC = Codec.getDefault().getName(); + + private ReplicationCheckpoint checkpoint(long primaryTerm, long segmentsGen, long segmentInfosVersion) { + return new ReplicationCheckpoint(SHARD_ID, primaryTerm, segmentsGen, segmentInfosVersion, CODEC); + } + + /** + * Two equal checkpoints must compare as 0 in both directions (reflexive/antisymmetric), + * otherwise the {@link Comparable} contract is violated. + */ + public void testCompareToReturnsZeroForEqualCheckpoints() { + ReplicationCheckpoint a = checkpoint(20, 101, 5); + ReplicationCheckpoint b = checkpoint(20, 101, 5); + assertEquals(0, a.compareTo(b)); + assertEquals(0, b.compareTo(a)); + } + + /** + * The checkpoint that is ahead must sort first (natural order), and the relation must be + * antisymmetric. + */ + public void testCompareToOrdersByAheadness() { + ReplicationCheckpoint older = checkpoint(20, 101, 5); + ReplicationCheckpoint newerVersion = checkpoint(20, 101, 6); + ReplicationCheckpoint newerTerm = checkpoint(21, 101, 1); + + assertEquals(-1, newerVersion.compareTo(older)); + assertEquals(1, older.compareTo(newerVersion)); + assertEquals(-1, newerTerm.compareTo(newerVersion)); + assertEquals(1, newerVersion.compareTo(newerTerm)); + } + + /** + * Regression for the comparator-contract violation. Sorting a large list with many duplicates AND + * many distinct checkpoints (shuffled) forces TimSort onto its merge path, where a comparator that + * does not return 0 for equal elements throws + * "Comparison method violates its general contract!". Must sort cleanly with the fix. + */ + public void testSortManyCheckpointsHonorsComparatorContract() { + List checkpoints = new ArrayList<>(); + for (int i = 0; i < 500; i++) { + // small value range => lots of equal checkpoints interleaved with distinct ones + checkpoints.add(checkpoint(20, 101, randomLongBetween(1, 20))); + } + Collections.shuffle(checkpoints, random()); + checkpoints.sort(Comparator.nullsLast(Comparator.naturalOrder())); + for (int i = 1; i < checkpoints.size(); i++) { + assertTrue("list must be totally ordered", checkpoints.get(i - 1).compareTo(checkpoints.get(i)) <= 0); + } + } +} From 629a185648866582c70a35c9d4a7510b5b711b97 Mon Sep 17 00:00:00 2001 From: kh3ra <33233993+kh3ra@users.noreply.github.com> Date: Thu, 2 Jul 2026 23:23:06 +0530 Subject: [PATCH 80/94] Validate base_path in FsRepository to prevent path.repo containment bypass (#22328) The fs repository base_path setting was read verbatim from REST input with no validation. An absolute base_path causes Path.resolve to discard the path.repo-validated location, redirecting all blob-store operations outside the repository (CWE-22) and enabling arbitrary filesystem deletion via the snapshot _cleanup API. Add two layers of defense: - BASE_PATH_SETTING validator rejects absolute and upward-escaping (..) values after normalization (benign interior '..' that cancels out is allowed). - validateBasePathWithinRepo() resolves base_path against the location and verifies the result stays within a configured path.repo directory. Signed-off-by: Aditya Khera Co-authored-by: Aditya Khera --- .../repositories/fs/FsRepository.java | 45 +++++++++++++++- .../repositories/fs/FsRepositoryTests.java | 53 +++++++++++++++++++ 2 files changed, 97 insertions(+), 1 deletion(-) diff --git a/server/src/main/java/org/opensearch/repositories/fs/FsRepository.java b/server/src/main/java/org/opensearch/repositories/fs/FsRepository.java index 1d202cce11697..f9af8d376c127 100644 --- a/server/src/main/java/org/opensearch/repositories/fs/FsRepository.java +++ b/server/src/main/java/org/opensearch/repositories/fs/FsRepository.java @@ -102,7 +102,19 @@ public class FsRepository extends BlobStoreRepository { Property.Deprecated ); - public static final Setting BASE_PATH_SETTING = Setting.simpleString("base_path"); + public static final Setting BASE_PATH_SETTING = Setting.simpleString("base_path", value -> { + // CWE-22 hardening (string-only fail-fast; avoids constructing a Path from a raw user-supplied string): + // reject absolute base_path values (POSIX "/", Windows "\\"/UNC, drive-letter "C:..") and any parent-directory + // ("..") segment. An absolute base_path makes Path.resolve discard the path.repo-validated location, escaping + // containment; a ".." segment lets the resolved path climb above it. The authoritative, location-aware + // containment check is performed in validateBasePathWithinRepo(). + if (Strings.hasLength(value) + && (value.startsWith("/") || value.startsWith("\\") || value.matches("^[A-Za-z]:.*") || value.contains(".."))) { + throw new IllegalArgumentException( + "[base_path] must be a relative path that does not contain '..' segments; got [" + value + "]" + ); + } + }); protected final Environment environment; @@ -169,12 +181,43 @@ protected void readMetadata() { } final String basePath = BASE_PATH_SETTING.get(metadata.settings()); if (Strings.hasLength(basePath)) { + if (isUnderRepo(basePath) == false) { + throw new RepositoryException( + metadata.name(), + "base_path [" + basePath + "] resolves to a location outside of the repository paths specified by path.repo" + ); + } this.basePath = new BlobPath().add(basePath); } else { this.basePath = BlobPath.cleanPath(); } } + /** + * Defense-in-depth containment check (CWE-22) that complements the {@link #BASE_PATH_SETTING} setting-level + * validator: ensures the user-supplied {@code base_path}, once resolved against the already-validated repository + * {@code location}, still falls within one of the operator-configured {@code path.repo} directories. The setting + * validator already rejects absolute and upward-escaping values; this location-aware check is the authoritative + * backstop. Without containment, an absolute {@code base_path} would cause {@link java.nio.file.Path#resolve} to + * discard the validated location entirely and redirect all blob-store operations to an arbitrary filesystem path + * (the {@code /_snapshot//_cleanup} arbitrary-deletion vector). + */ + private boolean isUnderRepo(String basePath) { + final String location = REPOSITORIES_LOCATION_SETTING.get(metadata.settings()); + final Path locationFile = environment.resolveRepoFile(location); + if (locationFile == null) { + // location is already validated by validateLocation(); a null here is treated as a containment failure. + return false; + } + final Path resolved = locationFile.resolve(basePath).normalize(); + for (Path repoPath : environment.repoFiles()) { + if (resolved.startsWith(repoPath)) { + return true; + } + } + return false; + } + protected void validateLocation() { String location = REPOSITORIES_LOCATION_SETTING.get(metadata.settings()); if (location.isEmpty()) { diff --git a/server/src/test/java/org/opensearch/repositories/fs/FsRepositoryTests.java b/server/src/test/java/org/opensearch/repositories/fs/FsRepositoryTests.java index 25bf485de80f8..60ac878aac79c 100644 --- a/server/src/test/java/org/opensearch/repositories/fs/FsRepositoryTests.java +++ b/server/src/test/java/org/opensearch/repositories/fs/FsRepositoryTests.java @@ -97,6 +97,7 @@ import static java.util.Collections.emptyMap; import static java.util.Collections.emptySet; +import static org.hamcrest.Matchers.containsString; import static org.hamcrest.Matchers.is; public class FsRepositoryTests extends OpenSearchTestCase { @@ -265,6 +266,58 @@ public void testRestrictedSettingsDefault() { assertTrue(restrictedSettings.contains(FsRepository.LOCATION_SETTING)); } + public void testBasePathEscapingPathRepoIsRejected() { + final Path repo = createTempDir(); + final List maliciousBasePaths = List.of( + repo.toAbsolutePath().toString(), // absolute path: Path.resolve discards the validated location + "/usr/share/opensearch/data/nodes/0", // absolute path (the reported POC payload) + "..", // parent-directory traversal + "../escape", + "nested/../../escape", + "foo/../bar", // interior '..' is rejected by the strict string validator + "a/b/../c" + ); + for (String basePath : maliciousBasePaths) { + final Settings settings = Settings.builder() + .put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toAbsolutePath()) + .put(Environment.PATH_REPO_SETTING.getKey(), repo.toAbsolutePath()) + .put("location", repo) + .put(FsRepository.BASE_PATH_SETTING.getKey(), basePath) + .build(); + final RepositoryMetadata metadata = new RepositoryMetadata("test", "fs", settings); + final RuntimeException e = expectThrows( + RuntimeException.class, + () -> new FsRepository( + metadata, + new Environment(settings, null), + NamedXContentRegistry.EMPTY, + BlobStoreTestUtil.mockClusterService(), + new RecoverySettings(settings, new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS)) + ) + ); + assertThat("base_path [" + basePath + "] must be rejected", e.getMessage(), containsString("base_path")); + } + } + + public void testRelativeBasePathWithinPathRepoIsAccepted() { + final Path repo = createTempDir(); + final Settings settings = Settings.builder() + .put(Environment.PATH_HOME_SETTING.getKey(), createTempDir().toAbsolutePath()) + .put(Environment.PATH_REPO_SETTING.getKey(), repo.toAbsolutePath()) + .put("location", repo) + .put(FsRepository.BASE_PATH_SETTING.getKey(), "nested/base/path") + .build(); + final RepositoryMetadata metadata = new RepositoryMetadata("test", "fs", settings); + // A well-formed relative base_path that stays within path.repo must construct without throwing. + new FsRepository( + metadata, + new Environment(settings, null), + NamedXContentRegistry.EMPTY, + BlobStoreTestUtil.mockClusterService(), + new RecoverySettings(settings, new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS)) + ); + } + private void runGeneric(ThreadPool threadPool, Runnable runnable) throws InterruptedException { CountDownLatch latch = new CountDownLatch(1); threadPool.generic().submit(() -> { From 3845aacbc6ed79d6c41836d8d50f5dc920ca969f Mon Sep 17 00:00:00 2001 From: rayshrey <121871912+rayshrey@users.noreply.github.com> Date: Thu, 2 Jul 2026 23:49:24 +0530 Subject: [PATCH 81/94] Add support for overCommit for NativeAllocator (#22375) * Add support for overCommit for NativeAllocator Signed-off-by: rayshrey * Fix javadocs Signed-off-by: rayshrey * Review fixes Signed-off-by: rayshrey * Add token base gating for the overCommit permits Signed-off-by: rayshrey --------- Signed-off-by: rayshrey --- .../arrow/allocator/ArrowBasePlugin.java | 60 +++- .../arrow/allocator/ArrowNativeAllocator.java | 190 +++++++++++ .../rust/common/src/memory_pool.rs | 118 ++++++- .../CompositeMergePoolExhaustionIT.java | 311 ++++++++++++++++++ .../parquet/ParquetDataFormatPlugin.java | 6 + .../opensearch/parquet/bridge/RustBridge.java | 69 ++++ .../src/main/rust/src/ffm.rs | 14 + .../main/java/org/opensearch/node/Node.java | 17 +- .../stats/NativeAllocatorStatsRegistry.java | 34 ++ 9 files changed, 808 insertions(+), 11 deletions(-) create mode 100644 sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergePoolExhaustionIT.java diff --git a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java index 7b0cd3af59221..8c06116a1ee26 100644 --- a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java +++ b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowBasePlugin.java @@ -108,6 +108,51 @@ public ArrowBasePlugin() {} Setting.Property.Dynamic ); + /** Default for {@link #OVERCOMMIT_ENABLED_SETTING}: the over-commit fallback is on by default. */ + static final boolean DEFAULT_OVERCOMMIT_ENABLED = true; + /** Default node native-memory pressure % at/above which over-commit is refused. */ + static final double DEFAULT_OVERCOMMIT_PRESSURE_THRESHOLD = 70.0; + /** Lower bound for the over-commit pressure threshold setting. */ + static final double OVERCOMMIT_PRESSURE_THRESHOLD_MIN = 0.0; + /** Upper bound for the over-commit pressure threshold setting. */ + static final double OVERCOMMIT_PRESSURE_THRESHOLD_MAX = 100.0; + /** Lower bound (and floor) for the max-concurrent over-commit setting. */ + static final int OVERCOMMIT_MAX_CONCURRENT_MIN = 1; + /** Default max concurrent over-commits: half the available processors (at least one). */ + static final int DEFAULT_OVERCOMMIT_MAX_CONCURRENT = Math.max( + OVERCOMMIT_MAX_CONCURRENT_MIN, + Runtime.getRuntime().availableProcessors() / 4 + ); + + /** Feature gate for the over-commit fallback when a pool is full. Default on. */ + public static final Setting OVERCOMMIT_ENABLED_SETTING = Setting.boolSetting( + "native.allocator.overcommit.enabled", + DEFAULT_OVERCOMMIT_ENABLED, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** Node native-memory pressure % at/above which over-commit is refused. */ + public static final Setting OVERCOMMIT_PRESSURE_THRESHOLD_SETTING = Setting.doubleSetting( + "native.allocator.overcommit.pressure_threshold", + DEFAULT_OVERCOMMIT_PRESSURE_THRESHOLD, + OVERCOMMIT_PRESSURE_THRESHOLD_MIN, + OVERCOMMIT_PRESSURE_THRESHOLD_MAX, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Maximum number of concurrently over-committing operations. Static (node-scope, non-dynamic); + * defaults to half the available processors. + */ + public static final Setting OVERCOMMIT_MAX_CONCURRENT_SETTING = Setting.intSetting( + "native.allocator.overcommit.max_concurrent", + DEFAULT_OVERCOMMIT_MAX_CONCURRENT, + OVERCOMMIT_MAX_CONCURRENT_MIN, + Setting.Property.NodeScope + ); + /** Minimum guaranteed bytes for the Flight pool. Default is 2% of budget. */ public static final Setting FLIGHT_MIN_SETTING = new Setting<>( NativeAllocatorPoolConfig.SETTING_FLIGHT_MIN, @@ -196,7 +241,7 @@ public Collection createComponents( ArrowNativeAllocator a = this.allocator; return a != null ? a.stats() : null; }; - return List.of(built, new NativeAllocatorStatsRegistry(statsSupplier)); + return List.of(built, new NativeAllocatorStatsRegistry(statsSupplier, built::setNativeMemoryPressureSupplier)); } @Override @@ -212,7 +257,10 @@ public List> getSettings() { REBALANCER_ENABLED_SETTING, PRESSURE_THRESHOLD_SETTING, IDLE_THRESHOLD_SETTING, - SHRINK_FACTOR_SETTING + SHRINK_FACTOR_SETTING, + OVERCOMMIT_ENABLED_SETTING, + OVERCOMMIT_PRESSURE_THRESHOLD_SETTING, + OVERCOMMIT_MAX_CONCURRENT_SETTING ); } @@ -320,6 +368,14 @@ ArrowNativeAllocator buildAllocator(Settings settings, ClusterSettings cs, Suppl if (r != null) r.setShrinkFactor(value); }); + // Over-commit admission: apply initial values and register dynamic consumers. + allocator.setOverCommitEnabled(OVERCOMMIT_ENABLED_SETTING.get(settings)); + allocator.setOverCommitPressureThreshold(OVERCOMMIT_PRESSURE_THRESHOLD_SETTING.get(settings)); + // max_concurrent is a static (non-dynamic) setting applied once at startup. + allocator.setMaxConcurrentOverCommits(OVERCOMMIT_MAX_CONCURRENT_SETTING.get(settings)); + cs.addSettingsUpdateConsumer(OVERCOMMIT_ENABLED_SETTING, allocator::setOverCommitEnabled); + cs.addSettingsUpdateConsumer(OVERCOMMIT_PRESSURE_THRESHOLD_SETTING, allocator::setOverCommitPressureThreshold); + return allocator; } diff --git a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowNativeAllocator.java b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowNativeAllocator.java index baf5ff398b760..baa791282ef68 100644 --- a/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowNativeAllocator.java +++ b/plugins/arrow-base/src/main/java/org/opensearch/arrow/allocator/ArrowNativeAllocator.java @@ -14,6 +14,7 @@ import org.apache.logging.log4j.Logger; import org.opensearch.arrow.spi.NativeAllocator; import org.opensearch.arrow.spi.PoolGroup; +import org.opensearch.common.SetOnce; import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; @@ -23,13 +24,21 @@ import java.util.Collections; import java.util.HashSet; import java.util.List; +import java.util.Optional; import java.util.Set; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentMap; import java.util.concurrent.CopyOnWriteArrayList; +import java.util.concurrent.Semaphore; +import java.util.concurrent.atomic.AtomicBoolean; +import java.util.concurrent.atomic.AtomicLong; import java.util.function.Consumer; +import java.util.function.DoubleSupplier; import java.util.function.Supplier; +import static org.opensearch.arrow.allocator.ArrowBasePlugin.DEFAULT_OVERCOMMIT_ENABLED; +import static org.opensearch.arrow.allocator.ArrowBasePlugin.DEFAULT_OVERCOMMIT_PRESSURE_THRESHOLD; + /** * Arrow-backed implementation of {@link NativeAllocator}. * @@ -49,6 +58,20 @@ public class ArrowNativeAllocator implements NativeAllocator { private volatile Supplier nativeMemoryStatsSupplier; private volatile long budget = Long.MAX_VALUE; + // ─── Over-commit admission (allocator-owned decision) ──────────────────────── + /** Node-level native memory utilization % (0–100), or negative when unavailable. Injected by the node. */ + private volatile DoubleSupplier nativeMemoryPressureSupplier; + /** Feature gate. When false, {@link #tryOverCommit()} always rejects (status-quo behavior). */ + private volatile boolean overCommitEnabled = DEFAULT_OVERCOMMIT_ENABLED; + /** Node native pressure % at/above which over-commit is refused. */ + private volatile double overCommitPressureThreshold = DEFAULT_OVERCOMMIT_PRESSURE_THRESHOLD; + /** Permit gate bounding the number of concurrently over-committing operations (sized once at startup). */ + private final SetOnce overCommitPermits = new SetOnce<>(); + /** Outstanding over-commit leases keyed by their token, so a token from the native side can be released. */ + private final ConcurrentMap outstandingOverCommits = new ConcurrentHashMap<>(); + /** Monotonic source of over-commit tokens. Starts at 0, which is reserved for "no grant". */ + private final AtomicLong overCommitTokenSeq = new AtomicLong(); + /** * Creates a new allocator with a fresh RootAllocator. */ @@ -65,6 +88,173 @@ public void setBudget(long budget) { this.budget = budget; } + // ─── Over-commit admission API (called by pool-full paths across all pool types) ───────────── + + /** + * Installs the node-level native-memory pressure supplier (percent 0–100, or negative if unavailable). + * + * @param supplier supplies the current node native-memory utilization percentage + */ + public void setNativeMemoryPressureSupplier(DoubleSupplier supplier) { + this.nativeMemoryPressureSupplier = supplier; + } + + /** + * Enables/disables the over-commit fallback (feature gate). + * + * @param enabled whether the over-commit fallback is enabled + */ + public void setOverCommitEnabled(boolean enabled) { + this.overCommitEnabled = enabled; + } + + /** + * Sets the node native-pressure % at/above which over-commit is refused. + * + * @param thresholdPercent the native-memory pressure percentage threshold + */ + public void setOverCommitPressureThreshold(double thresholdPercent) { + this.overCommitPressureThreshold = thresholdPercent; + } + + /** + * Sets the maximum number of concurrently over-committing operations. Applied once at startup. + * + * @param max the maximum number of concurrent over-commits + */ + public void setMaxConcurrentOverCommits(int max) { + this.overCommitPermits.set(new Semaphore(Math.max(ArrowBasePlugin.OVERCOMMIT_MAX_CONCURRENT_MIN, max))); + } + + /** Current node-level native memory pressure %, or -1 when unavailable (signal missing / not ready). */ + double currentNativePressurePercent() { + DoubleSupplier s = this.nativeMemoryPressureSupplier; + if (s == null) { + return -1.0; + } + try { + return s.getAsDouble(); + } catch (RuntimeException e) { + return -1.0; + } + } + + /** + * Allocator-owned decision: may a full pool over-commit right now? Grants only when the feature is + * enabled, node-level native memory pressure is below the threshold, and a concurrency permit is + * available. On a grant this returns a {@link OverCommitLease} that the caller MUST + * {@link OverCommitLease#close() close} exactly once when the over-committing operation completes + * (the permit is held until then); on rejection it returns {@link Optional#empty()}. + * + *

      This is the safe, in-JVM entry point: the only way to release a permit is to close a lease + * that this method minted, so a permit can never be released without first being acquired. + * + *

      Generic across pool types (Arrow-backed pools via allocation-failure hooks, virtual/native + * pools via the FFM upcall through {@link #tryOverCommitToken()}). Never throws. + * + * @return a lease on grant, or empty on rejection + */ + public Optional tryOverCommit() { + try { + if (overCommitEnabled == false) { + return Optional.empty(); + } + double pressure = currentNativePressurePercent(); + if (pressure < 0) { + logger.debug("Over-commit unavailable: native memory pressure signal not ready"); + return Optional.empty(); + } + if (pressure >= overCommitPressureThreshold) { + logger.debug("Over-commit refused: native memory pressure {}% >= threshold {}%", pressure, overCommitPressureThreshold); + return Optional.empty(); + } + logger.debug( + "Native memory pressure {}% within threshold {}%; attempting over-commit permit acquire", + pressure, + overCommitPressureThreshold + ); + // Permit gate: at most max_concurrent over-commits in flight. The permit is held + // until the lease is closed when the over-committing operation completes. + Semaphore permits = overCommitPermits.get(); + if (permits == null) { + logger.warn("Over-commit enabled but permit pool is not initialized; refusing over-commit"); + return Optional.empty(); + } + if (permits.tryAcquire()) { + long token = overCommitTokenSeq.incrementAndGet(); + OverCommitLease lease = new OverCommitLease(token); + outstandingOverCommits.put(token, lease); + logger.debug( + "Over-commit granted; acquired permit (token {}, {} permits now available)", + token, + permits.availablePermits() + ); + return Optional.of(lease); + } + logger.warn("Over-commit refused: concurrency limit reached (all max_concurrent permits in use)"); + return Optional.empty(); + } catch (Throwable t) { + return Optional.empty(); + } + } + + /** + * FFM upcall entry point for native pools: performs the same decision as {@link #tryOverCommit()} + * but returns an opaque token instead of a lease object (which cannot cross the native boundary). + * The native side stores the token and passes it back to {@link #releaseOverCommitToken(long)} on + * release. Never throws — returns {@code 0} on any rejection or error. + * + * @return a nonzero grant token, or {@code 0} if the over-commit was rejected + */ + public long tryOverCommitToken() { + return tryOverCommit().map(OverCommitLease::id).orElse(0L); + } + + /** + * FFM upcall entry point for native pools: releases the over-commit permit previously granted + * under {@code token}. An unknown, stale, or already-released token is a no-op, so a spurious + * native release can never over-release the permit gate. + * + * @param token the grant token returned by {@link #tryOverCommitToken()} + */ + public void releaseOverCommitToken(long token) { + OverCommitLease lease = outstandingOverCommits.get(token); + if (lease != null) { + lease.close(); + } + } + + /** + * A capability handle for a single granted over-commit. Minted only by + * {@link ArrowNativeAllocator#tryOverCommit()}; closing it releases the underlying permit exactly + * once (idempotent), so double-close and unpaired release are both harmless. + */ + public final class OverCommitLease implements AutoCloseable { + private final long id; + private final AtomicBoolean released = new AtomicBoolean(false); + + private OverCommitLease(long id) { + this.id = id; + } + + /** The opaque token identifying this grant (used to release across the native boundary). */ + public long id() { + return id; + } + + @Override + public void close() { + if (released.compareAndSet(false, true)) { + outstandingOverCommits.remove(id); + Semaphore permits = overCommitPermits.get(); + if (permits != null) { + permits.release(); + logger.debug("Released over-commit permit (token {}, {} permits now available)", id, permits.availablePermits()); + } + } + } + } + // ─── Public / SPI methods ─────────────────────────────────────────────────── @Override diff --git a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs index ac587c6b91db5..41ba3c3853574 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs @@ -16,7 +16,7 @@ //! pool on drop, preventing leaks even on error paths. use std::sync::atomic::{AtomicUsize, Ordering}; -use std::sync::{Arc, Condvar, Mutex}; +use std::sync::{Arc, Condvar, Mutex, OnceLock}; use std::time::Duration; use std::fmt; @@ -31,12 +31,58 @@ pub const MERGE_WAIT_TIMEOUT: Duration = Duration::from_secs(600); pub enum PoolBehavior { /// Block until memory is available, up to the given timeout. Wait(Duration), - /// Fail immediately if pool is full. + /// Fail immediately if the pool is full, unless the registered over-commit decider (the Java-side + /// allocator) grants an over-commit based on node-level native memory pressure. When granted, the + /// reservation over-commits via infallible `grow` and the decider is told to release when the + /// reservation is freed/dropped. Falls back to a plain reject when no decider is registered or the + /// decider declines. Reject, /// Never block and never fail: account via infallible `grow`, allowing the pool to over-commit. IgnoreLimit, } +// ───────────────────────────────────────────────────────────────────────────── +// Over-commit decider hook. +// +// The decision "may this reservation over-commit its pool right now?" is owned by the Java-side +// `ArrowNativeAllocator` (it knows node-level native memory pressure, permits, and the feature +// flag). Java registers two C-ABI callbacks via FFM upcall stubs. Because all native modules are +// linked into a single cdylib, these statics are a single shared instance and one registration +// covers every pool that uses `Reject`. +// ───────────────────────────────────────────────────────────────────────────── + +/// Decider: returns a nonzero token id to grant an over-commit, or 0 to reject. The token is an +/// opaque handle minted by the Java allocator; Rust stores it and echoes it back on release. +pub type OverCommitDecider = extern "C" fn() -> i64; +/// Releaser: called with the token of a reservation that held an over-commit permit when it is +/// freed/dropped, so the Java allocator can release exactly that grant. +pub type OverCommitReleaser = extern "C" fn(i64); + +static OVERCOMMIT_DECIDER: OnceLock = OnceLock::new(); +static OVERCOMMIT_RELEASER: OnceLock = OnceLock::new(); + +/// Registers the over-commit decision callbacks. Idempotent — first registration wins. +pub fn set_overcommit_callbacks(decider: OverCommitDecider, releaser: OverCommitReleaser) { + let _ = OVERCOMMIT_DECIDER.set(decider); + let _ = OVERCOMMIT_RELEASER.set(releaser); +} + +/// Asks the registered decider whether an over-commit may proceed. Returns the granted token id +/// (nonzero), or 0 when no decider is registered (feature effectively off) or the decider declines. +fn overcommit_grant() -> i64 { + match OVERCOMMIT_DECIDER.get() { + Some(decide) => decide(), + None => 0, + } +} + +/// Returns the over-commit permit identified by `token` back to the decider (Java allocator). +fn overcommit_release(token: i64) { + if let Some(release) = OVERCOMMIT_RELEASER.get() { + release(token); + } +} + /// Error returned when a pool cannot satisfy an allocation request. #[derive(Debug, Clone)] pub struct PoolExhausted { @@ -230,6 +276,10 @@ pub struct MemoryReservation { consumer: &'static str, size: usize, behavior: PoolBehavior, + /// Nonzero token of the over-commit permit held by this reservation (0 = none). The permit is + /// returned to the decider (with this token) when the reservation is freed/dropped (one grant ↔ + /// one release). + overcommit_token: i64, } impl MemoryReservation { @@ -239,6 +289,7 @@ impl MemoryReservation { consumer, size: 0, behavior, + overcommit_token: 0, } } @@ -246,9 +297,46 @@ impl MemoryReservation { pub fn request(&mut self, bytes: usize) -> Result<(), Box> { match &self.behavior { PoolBehavior::Reject => { - self.pool.try_grow(bytes)?; - self.size += bytes; - Ok(()) + match self.pool.try_grow(bytes) { + Ok(()) => { + self.size += bytes; + Ok(()) + } + Err(exhausted) => { + if self.overcommit_token != 0 { + // Already holding an over-commit permit for this reservation — continue + // over-committing without re-consulting the decider. + self.pool.grow(bytes); + self.size += bytes; + Ok(()) + } else { + let token = overcommit_grant(); + if token != 0 { + // Decider (Java allocator) granted based on node-level native pressure. + self.pool.grow(bytes); // infallible over-commit + self.size += bytes; + self.overcommit_token = token; + crate::log_debug!( + "[RUST] over-commit granted: pool '{}' consumer '{}' token {} committing {} bytes beyond limit (reservation size now {})", + self.pool.name(), + self.consumer, + token, + bytes, + self.size + ); + Ok(()) + } else { + crate::log_debug!( + "[RUST] over-commit refused by decider: pool '{}' consumer '{}' needed {} bytes beyond limit", + self.pool.name(), + self.consumer, + bytes + ); + Err(Box::new(exhausted)) + } + } + } + } } PoolBehavior::Wait(timeout) => { self.pool.wait_and_grow(bytes, *timeout)?; @@ -305,6 +393,16 @@ impl MemoryReservation { self.pool.shrink(s); self.size = 0; } + if self.overcommit_token != 0 { + overcommit_release(self.overcommit_token); + crate::log_debug!( + "[RUST] over-commit permit released: pool '{}' consumer '{}' token {}", + self.pool.name(), + self.consumer, + self.overcommit_token + ); + self.overcommit_token = 0; + } s } @@ -323,6 +421,7 @@ impl MemoryReservation { consumer, size: 0, behavior: self.behavior.clone(), + overcommit_token: 0, } } } @@ -332,6 +431,15 @@ impl Drop for MemoryReservation { if self.size > 0 { self.pool.shrink(self.size); } + if self.overcommit_token != 0 { + overcommit_release(self.overcommit_token); + crate::log_debug!( + "[RUST] over-commit permit released on drop: pool '{}' consumer '{}' token {}", + self.pool.name(), + self.consumer, + self.overcommit_token + ); + } } } diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergePoolExhaustionIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergePoolExhaustionIT.java new file mode 100644 index 0000000000000..b201536cf9e34 --- /dev/null +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/CompositeMergePoolExhaustionIT.java @@ -0,0 +1,311 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.composite; + +import com.carrotsearch.randomizedtesting.annotations.ThreadLeakScope; + +import org.opensearch.action.admin.indices.forcemerge.ForceMergeResponse; +import org.opensearch.action.admin.indices.refresh.RefreshResponse; +import org.opensearch.action.index.IndexResponse; +import org.opensearch.arrow.allocator.ArrowBasePlugin; +import org.opensearch.arrow.allocator.ArrowNativeAllocator; +import org.opensearch.be.datafusion.DataFusionPlugin; +import org.opensearch.be.lucene.LucenePlugin; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.concurrent.GatedCloseable; +import org.opensearch.common.settings.Settings; +import org.opensearch.common.util.FeatureFlags; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.index.IndexService; +import org.opensearch.index.engine.exec.coord.CatalogSnapshot; +import org.opensearch.index.engine.exec.coord.DataformatAwareCatalogSnapshot; +import org.opensearch.index.shard.IndexShard; +import org.opensearch.indices.IndicesService; +import org.opensearch.parquet.ParquetDataFormatPlugin; +import org.opensearch.plugins.Plugin; +import org.opensearch.test.OpenSearchIntegTestCase; + +import java.io.IOException; +import java.util.Arrays; +import java.util.Collection; +import java.util.Locale; +import java.util.function.Function; + +/** + * Reproduces the merge-pool starvation problem for the composite data format + * (parquet primary + lucene secondary). + * + *

      The native merge reserves its row-id mapping ({@code total_rows * 8} bytes) from the + * merge pool with {@code PoolBehavior::Reject}. When the merge pool limit is smaller than + * the mapping, {@code try_grow} fails and the merge is rejected. Because a rejected merge + * never raises the pool's observed utilization, the rebalancer never grows the pool, so the + * merge can never succeed on retry — a force merge fails permanently. + * + *

      This test pins the merge pool to a 1–2 byte window and disables the rebalancer so the + * failure is deterministic. It is the baseline that the planned soft-limit / over-commit fix + * must turn green. + */ +// The Tokio IO runtime worker thread used by the Rust merge is a process-lifetime singleton +// that persists after tests complete (mirrors CompositeMergeIT). +@ThreadLeakScope(ThreadLeakScope.Scope.NONE) +@OpenSearchIntegTestCase.ClusterScope(scope = OpenSearchIntegTestCase.Scope.TEST, numDataNodes = 1) +public class CompositeMergePoolExhaustionIT extends OpenSearchIntegTestCase { + + private static final String INDEX_NAME = "test-composite-merge-pool-exhaustion"; + + // ══════════════════════════════════════════════════════════════════════ + // Framework lifecycle & configuration + // ══════════════════════════════════════════════════════════════════════ + + @Override + protected Collection> nodePlugins() { + return Arrays.asList( + ArrowBasePlugin.class, + ParquetDataFormatPlugin.class, + CompositeDataFormatPlugin.class, + LucenePlugin.class, + DataFusionPlugin.class + ); + } + + @Override + protected Settings nodeSettings(int nodeOrdinal) { + return Settings.builder() + .put(super.nodeSettings(nodeOrdinal)) + .put(FeatureFlags.PLUGGABLE_DATAFORMAT_EXPERIMENTAL_FLAG, true) + // Starve the merge pool: 1-byte floor, 2-byte ceiling. Any real merge's row-id + // mapping reservation (total_rows * 8 bytes) exceeds this and is rejected. + .put("parquet.native.pool.merge.min", 1L) + .put("parquet.native.pool.merge.max", 2L) + // Disable the rebalancer so the merge pool cannot be grown back. A rejected merge + // never registers utilization, so this reproduces the starvation deterministically. + .put("native.allocator.rebalancer.enabled", false) + .build(); + } + + // ══════════════════════════════════════════════════════════════════════ + // Test + // ══════════════════════════════════════════════════════════════════════ + + /** + * With the merge pool pinned to 2 bytes, a force merge of multiple segments must fail + * because the native merge's row-id mapping reservation is rejected. + */ + public void testForceMergeFailsWhenMergePoolExhausted() throws Exception { + client().admin() + .indices() + .prepareCreate(INDEX_NAME) + .setSettings(compositeSettings()) + .setMapping("name", "type=keyword", "age", "type=integer") + .get(); + ensureGreen(INDEX_NAME); + + // Two ingest + refresh cycles → at least two committed segments to merge. + indexAndRefresh(10); + indexAndRefresh(10); + + assertTrue("expected multiple segments before force merge", getSegmentCount() > 1); + + // Over-commit is enabled by default; disable it explicitly so the exhausted merge pool + // rejects the reservation, reproducing the force-merge-fails-forever behavior. + client().admin() + .cluster() + .prepareUpdateSettings() + .setPersistentSettings(Settings.builder().put("native.allocator.overcommit.enabled", false)) + .get(); + + // Force merge to a single segment. The 2-byte merge pool rejects the native merge's + // row-id mapping reservation, so the merge fails. The failure surfaces either as a + // failed shard in the response or as a thrown exception — accept both. + boolean forceMergeFailed; + String failureDetail; + try { + ForceMergeResponse response = client().admin() + .indices() + .prepareForceMerge(INDEX_NAME) + .setMaxNumSegments(1) + .setFlush(false) + .get(); + forceMergeFailed = response.getFailedShards() >= 1 && response.getSuccessfulShards() == 0; + failureDetail = "failedShards=" + + response.getFailedShards() + + " successfulShards=" + + response.getSuccessfulShards() + + " shardFailures=" + + Arrays.toString(response.getShardFailures()); + // When surfaced via the response, the reason should reference the exhausted merge pool. + if (forceMergeFailed) { + boolean mentionsPool = Arrays.stream(response.getShardFailures()) + .anyMatch(f -> f.reason() != null && f.reason().toLowerCase(Locale.ROOT).contains("merge pool")); + assertTrue("force merge failure should reference the merge pool; detail=" + failureDetail, mentionsPool); + } + } catch (Exception e) { + forceMergeFailed = true; + failureDetail = e.toString(); + } + + assertTrue("force merge should fail when the merge pool is exhausted; detail=" + failureDetail, forceMergeFailed); + + // The segments must not have been consolidated to a single segment. + assertTrue("segments should not have been merged when the merge pool is exhausted", getSegmentCount() > 1); + } + + /** + * With the same 2-byte merge pool but the over-commit fallback enabled and node native-memory + * pressure below the threshold, the force merge must now succeed: the rejected row-id mapping + * reservation is granted an over-commit by the allocator, and the merge consolidates to a single + * segment. + */ + public void testForceMergeSucceedsWithOverCommitEnabled() throws Exception { + client().admin() + .indices() + .prepareCreate(INDEX_NAME) + .setSettings(compositeSettings()) + .setMapping("name", "type=keyword", "age", "type=integer") + .get(); + ensureGreen(INDEX_NAME); + + indexAndRefresh(10); + indexAndRefresh(10); + assertTrue("expected multiple segments before force merge", getSegmentCount() > 1); + + // Over-commit is enabled by default. Raise the pressure threshold so the node's (low) + // native-memory pressure is comfortably below it; the pressure signal itself is the real + // injected node signal, so no per-instance stubbing is needed. With the fallback active, the + // merge's row-id mapping reservation is granted an over-commit instead of being rejected. + client().admin() + .cluster() + .prepareUpdateSettings() + .setPersistentSettings(Settings.builder().put("native.allocator.overcommit.pressure_threshold", 100.0)) + .get(); + + ForceMergeResponse response = client().admin().indices().prepareForceMerge(INDEX_NAME).setMaxNumSegments(1).setFlush(true).get(); + + assertEquals( + "no shard should fail the merge once over-commit is enabled; shardFailures=" + Arrays.toString(response.getShardFailures()), + 0, + response.getFailedShards() + ); + assertTrue("at least one shard should have merged", response.getSuccessfulShards() >= 1); + + // Segments consolidated to a single segment. + assertBusy(() -> assertEquals("segments should be merged to one", 1, getSegmentCount()), 30, java.util.concurrent.TimeUnit.SECONDS); + } + + /** + * Over-commit is enabled, but the node native-memory pressure is manually driven above the + * configured threshold. The allocator's decider must refuse the over-commit, so the force merge + * still fails on the exhausted merge pool. + */ + public void testForceMergeRejectedWhenNativePressureAboveThreshold() throws Exception { + client().admin() + .indices() + .prepareCreate(INDEX_NAME) + .setSettings(compositeSettings()) + .setMapping("name", "type=keyword", "age", "type=integer") + .get(); + ensureGreen(INDEX_NAME); + + indexAndRefresh(10); + indexAndRefresh(10); + assertTrue("expected multiple segments before force merge", getSegmentCount() > 1); + + // Over-commit is enabled by default; set a threshold below the pressure we will inject. + client().admin() + .cluster() + .prepareUpdateSettings() + .setPersistentSettings(Settings.builder().put("native.allocator.overcommit.pressure_threshold", 80.0)) + .get(); + + // Drive native-memory pressure above the threshold on every node's allocator. The pressure + // signal has no cluster setting, and the shared-JVM decider may resolve to any node's + // allocator, so inject it everywhere. + for (String node : internalCluster().getNodeNames()) { + internalCluster().getInstance(ArrowNativeAllocator.class, node).setNativeMemoryPressureSupplier(() -> 95.0); + } + + boolean forceMergeFailed; + String failureDetail; + try { + ForceMergeResponse response = client().admin() + .indices() + .prepareForceMerge(INDEX_NAME) + .setMaxNumSegments(1) + .setFlush(false) + .get(); + forceMergeFailed = response.getFailedShards() >= 1 && response.getSuccessfulShards() == 0; + failureDetail = Arrays.toString(response.getShardFailures()); + } catch (Exception e) { + forceMergeFailed = true; + failureDetail = e.toString(); + } + + assertTrue( + "force merge should fail when native pressure exceeds the over-commit threshold; detail=" + failureDetail, + forceMergeFailed + ); + assertTrue("segments should not have been merged when over-commit is refused", getSegmentCount() > 1); + } + + // ══════════════════════════════════════════════════════════════════════ + // Helpers: index settings & indexing + // ══════════════════════════════════════════════════════════════════════ + + private Settings compositeSettings() { + return Settings.builder() + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .put("index.refresh_interval", "-1") + .put("index.pluggable.dataformat.enabled", true) + .put("index.pluggable.dataformat", "composite") + .put("index.composite.primary_data_format", "parquet") + .putList("index.composite.secondary_data_formats", "lucene") + .build(); + } + + /** + * Indexes {@code numDocs} documents sequentially, then refreshes once. Sequential indexing + * keeps each refresh cycle to a single writer (one committed segment), and avoids triggering + * merge-on-refresh so the segment count is deterministic. + */ + private void indexAndRefresh(int numDocs) { + for (int i = 0; i < numDocs; i++) { + IndexResponse response = client().prepareIndex() + .setIndex(INDEX_NAME) + .setSource("name", randomAlphaOfLength(10), "age", randomIntBetween(1, 1000)) + .get(); + assertEquals(RestStatus.CREATED, response.status()); + } + RefreshResponse refreshResponse = client().admin().indices().prepareRefresh(INDEX_NAME).get(); + assertEquals(RestStatus.OK, refreshResponse.getStatus()); + } + + // ══════════════════════════════════════════════════════════════════════ + // Helpers: shard/catalog accessors + // ══════════════════════════════════════════════════════════════════════ + + private int getSegmentCount() throws IOException { + return getCatalogSnapshot().getSegments().size(); + } + + private IndexShard getPrimaryShard() { + String nodeId = getClusterState().routingTable().index(INDEX_NAME).shard(0).primaryShard().currentNodeId(); + String nodeName = getClusterState().nodes().get(nodeId).getName(); + IndicesService indicesService = internalCluster().getInstance(IndicesService.class, nodeName); + IndexService indexService = indicesService.indexServiceSafe(resolveIndex(INDEX_NAME)); + return indexService.getShard(0); + } + + private DataformatAwareCatalogSnapshot getCatalogSnapshot() throws IOException { + IndexShard shard = getPrimaryShard(); + try (GatedCloseable snapshot = shard.getCatalogSnapshot()) { + return DataformatAwareCatalogSnapshot.deserializeFromString(snapshot.get().serializeToString(), Function.identity()); + } + } +} diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java index 272100284a5e2..52a8eb90add27 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/ParquetDataFormatPlugin.java @@ -176,6 +176,12 @@ public Collection createComponents( writePool.updateStats(s[1], s[2]); mergePool.updateStats(s[4], s[5]); }); + + // Wire the over-commit decision to the allocator. When a native pool is full, the Rust + // reservation consults this decider (an FFM upcall); the decision runs in + // ArrowNativeAllocator.tryOverCommitToken based on node-level native memory pressure; the + // returned token is echoed back on release so the exact grant is freed. + RustBridge.registerOverCommitCallbacks(nativeAllocator::tryOverCommitToken, nativeAllocator::releaseOverCommitToken); } else { // No allocator — wire dynamic consumers directly to Rust pools ClusterSettings cs = clusterService.getClusterSettings(); diff --git a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java index ee55413cf6986..a60d0e758c63e 100644 --- a/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java +++ b/sandbox/plugins/parquet-data-format/src/main/java/org/opensearch/parquet/bridge/RustBridge.java @@ -16,17 +16,22 @@ import java.io.IOException; import java.io.UncheckedIOException; +import java.lang.foreign.Arena; import java.lang.foreign.FunctionDescriptor; import java.lang.foreign.Linker; import java.lang.foreign.MemorySegment; import java.lang.foreign.SymbolLookup; import java.lang.foreign.ValueLayout; import java.lang.invoke.MethodHandle; +import java.lang.invoke.MethodHandles; +import java.lang.invoke.MethodType; import java.nio.charset.StandardCharsets; import java.nio.file.Path; import java.util.HashMap; import java.util.List; import java.util.Map; +import java.util.function.LongConsumer; +import java.util.function.LongSupplier; /** * FFM bridge to the native Rust parquet writer library. @@ -50,6 +55,7 @@ public class RustBridge { private static final MethodHandle SET_WRITE_POOL_LIMIT; private static final MethodHandle SET_MERGE_POOL_LIMIT; private static final MethodHandle GET_POOL_STATS; + private static final MethodHandle REGISTER_OVERCOMMIT_CALLBACKS; static { SymbolLookup lib = NativeLibraryLoader.symbolLookup(); @@ -278,6 +284,10 @@ public class RustBridge { lib.find("parquet_get_pool_stats").orElseThrow(), FunctionDescriptor.ofVoid(ValueLayout.ADDRESS) ); + REGISTER_OVERCOMMIT_CALLBACKS = linker.downcallHandle( + lib.find("parquet_register_overcommit_callbacks").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.ADDRESS, ValueLayout.ADDRESS) + ); } public static void initLogger() {} @@ -757,5 +767,64 @@ public static long[] getPoolStats() { } } + // ─── Over-commit decision upcall (decision executes in the Java allocator) ─────────────────── + + /** Delegate that decides whether a full native pool may over-commit; set by the owning plugin. */ + private static volatile LongSupplier overCommitDecider; + /** Delegate that releases a previously granted over-commit; set by the owning plugin. */ + private static volatile LongConsumer overCommitReleaser; + + /** C-ABI trampoline invoked from Rust: returns a nonzero grant token, or 0 to reject. */ + private static long overCommitDecide() { + LongSupplier d = overCommitDecider; + try { + return d != null ? d.getAsLong() : 0L; + } catch (Throwable t) { + return 0L; // never let an exception cross the native boundary + } + } + + /** C-ABI trampoline invoked from Rust: releases the over-commit permit identified by {@code token}. */ + private static void overCommitRelease(long token) { + LongConsumer r = overCommitReleaser; + try { + if (r != null) { + r.accept(token); + } + } catch (Throwable ignore) { + // best-effort + } + } + + /** + * Registers the over-commit decision/release delegates and installs FFM upcall stubs into the + * native library so a full native pool can consult the (Java allocator-owned) decision. The + * decision itself runs in {@code decide}/{@code release}; this method only wires the plumbing. + * Stubs are bound to the global arena (JVM lifetime). + * + * @param decide returns a nonzero grant token to over-commit, or 0 to reject + * @param release invoked with the grant token to release a previously granted over-commit + */ + public static void registerOverCommitCallbacks(LongSupplier decide, LongConsumer release) { + overCommitDecider = decide; + overCommitReleaser = release; + try { + Linker linker = Linker.nativeLinker(); + Arena arena = Arena.global(); + MethodHandles.Lookup lookup = MethodHandles.lookup(); + MethodHandle decideHandle = lookup.findStatic(RustBridge.class, "overCommitDecide", MethodType.methodType(long.class)); + MethodHandle releaseHandle = lookup.findStatic( + RustBridge.class, + "overCommitRelease", + MethodType.methodType(void.class, long.class) + ); + MemorySegment decideStub = linker.upcallStub(decideHandle, FunctionDescriptor.of(ValueLayout.JAVA_LONG), arena); + MemorySegment releaseStub = linker.upcallStub(releaseHandle, FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG), arena); + NativeCall.invokeVoid(REGISTER_OVERCOMMIT_CALLBACKS, decideStub, releaseStub); + } catch (Throwable t) { + throw new IllegalStateException("Failed to register over-commit callbacks", t); + } + } + private RustBridge() {} } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs index 0411d79bee113..9f89eb8d28ed7 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs @@ -774,6 +774,20 @@ pub extern "C" fn parquet_set_merge_pool_limit(new_limit: i64) { crate::memory::set_merge_limit(new_limit as usize); } +/// Register the over-commit decision callbacks (FFM upcall stubs from the Java allocator). +/// +/// `decider(requested_bytes) -> 1|0` decides whether a full pool may over-commit; `releaser(bytes)` +/// is called with the granted byte count when the reservation is released. Because all native +/// modules share one cdylib (and thus one `native-bridge-common` instance), this single +/// registration covers every pool that uses `Reject`. +#[no_mangle] +pub extern "C" fn parquet_register_overcommit_callbacks( + decider: native_bridge_common::memory_pool::OverCommitDecider, + releaser: native_bridge_common::memory_pool::OverCommitReleaser, +) { + native_bridge_common::memory_pool::set_overcommit_callbacks(decider, releaser); +} + /// Get pool stats: writes 6 i64s to out_buf. /// Layout: [write_limit, write_used, write_peak, merge_limit, merge_used, merge_peak] #[no_mangle] diff --git a/server/src/main/java/org/opensearch/node/Node.java b/server/src/main/java/org/opensearch/node/Node.java index 9356c30644f66..335e49d51a814 100644 --- a/server/src/main/java/org/opensearch/node/Node.java +++ b/server/src/main/java/org/opensearch/node/Node.java @@ -1359,11 +1359,13 @@ protected Node(final Environment initialEnvironment, Collection clas // in this file. Server has no compile-time dependency on arrow-base. // Discovered here (ahead of AdmissionControlService) so it can be forwarded to the // native-memory admission controller for indexing-pool based rejection. - final Supplier nativeAllocatorStatsSupplier = pluginComponents.stream() + final Optional nativeAllocatorStatsRegistry = pluginComponents.stream() .filter(c -> c instanceof NativeAllocatorStatsRegistry) - .map(c -> ((NativeAllocatorStatsRegistry) c).supplier()) - .findFirst() - .orElse(null); + .map(c -> (NativeAllocatorStatsRegistry) c) + .findFirst(); + final Supplier nativeAllocatorStatsSupplier = nativeAllocatorStatsRegistry.map( + NativeAllocatorStatsRegistry::supplier + ).orElse(null); final NodeResourceUsageTracker nodeResourceUsageTracker = new NodeResourceUsageTracker( monitorService.fsService(), @@ -1377,6 +1379,13 @@ protected Node(final Environment initialEnvironment, Collection clas threadPool ); + // Inject the node-level native memory pressure signal (same signal admission control uses) + // into the allocator so it can make over-commit admission decisions when a native pool is + // full. Reuses the registry discovered above. No-op when no such plugin is loaded. + nativeAllocatorStatsRegistry.ifPresent( + reg -> reg.setNativeMemoryPressureSupplier(nodeResourceUsageTracker::getNativeMemoryUtilizationPercent) + ); + final AdmissionControlService admissionControlService = new AdmissionControlService( settings, clusterService, diff --git a/server/src/main/java/org/opensearch/plugin/stats/NativeAllocatorStatsRegistry.java b/server/src/main/java/org/opensearch/plugin/stats/NativeAllocatorStatsRegistry.java index 4d49308601b82..f5184a0e77f2b 100644 --- a/server/src/main/java/org/opensearch/plugin/stats/NativeAllocatorStatsRegistry.java +++ b/server/src/main/java/org/opensearch/plugin/stats/NativeAllocatorStatsRegistry.java @@ -10,6 +10,8 @@ import org.opensearch.common.Nullable; +import java.util.function.Consumer; +import java.util.function.DoubleSupplier; import java.util.function.Supplier; /** @@ -34,6 +36,13 @@ public final class NativeAllocatorStatsRegistry { private final Supplier supplier; + /** + * Optional sink that forwards a node-level native-memory pressure supplier into the underlying + * allocator. Set by the plugin that owns the allocator (today: {@code ArrowBasePlugin}); may be + * {@code null} when the plugin does not support over-commit admission. + */ + private final Consumer pressureSink; + /** * Constructs a registry wrapping the given supplier. * @@ -42,7 +51,32 @@ public final class NativeAllocatorStatsRegistry { * (e.g. plugin closed). Must not be {@code null} itself. */ public NativeAllocatorStatsRegistry(Supplier supplier) { + this(supplier, null); + } + + /** + * Constructs a registry wrapping the given stats supplier and a pressure-supplier sink. + * + * @param supplier stats snapshot supplier (see single-arg constructor). + * @param pressureSink forwards an injected node-level native-memory pressure supplier into the + * allocator; may be {@code null}. + */ + public NativeAllocatorStatsRegistry(Supplier supplier, Consumer pressureSink) { this.supplier = supplier; + this.pressureSink = pressureSink; + } + + /** + * Injects the node-level native-memory pressure supplier (percent 0–100, or negative when + * unavailable) into the allocator so it can make over-commit admission decisions. No-op when the + * owning plugin did not provide a sink. + * + * @param pressureSupplier supplies the current node native-memory utilization percentage. + */ + public void setNativeMemoryPressureSupplier(DoubleSupplier pressureSupplier) { + if (pressureSink != null) { + pressureSink.accept(pressureSupplier); + } } /** From ca7a1213b4a04694768e40d70cacbb9a33e36feb Mon Sep 17 00:00:00 2001 From: Rishabh Maurya Date: Thu, 2 Jul 2026 12:35:29 -0700 Subject: [PATCH 82/94] Add cross-cluster streaming support to the remote cluster client (#22359) * Add cross-cluster streaming support to the remote cluster client Enable a plugin to open an Arrow Flight stream to a *remote cluster* (mirroring the existing pull remote-client path), with producer-side backpressure and a poll-able cancellation signal so a long-lived producer does not leak when the consumer goes away. Also adds a synchronous option on send to block until the write is queued in the gRPC outbound buffer before returning. Signed-off-by: Rishabh Maurya --- plugins/arrow-flight-rpc/docs/backpressure.md | 17 +- .../arrow/flight/bootstrap/ServerConfig.java | 67 ++++++++ .../transport/FlightOutboundHandler.java | 49 +++++- .../flight/transport/FlightServerChannel.java | 17 +- .../flight/transport/FlightTransport.java | 13 ++ .../transport/FlightTransportChannel.java | 13 +- .../flight/OSFlightServerKeepAliveTests.java | 79 +++++++++ .../flight/bootstrap/ServerConfigTests.java | 32 ++++ .../transport/FlightOutboundHandlerTests.java | 155 ++++++++++++++++++ .../FlightTransportChannelTests.java | 48 +++++- .../transport/RemoteClusterAwareClient.java | 82 ++++++++- .../transport/RemoteClusterService.java | 18 +- .../transport/StreamTransportService.java | 14 +- .../transport/TaskTransportChannel.java | 10 ++ .../transport/TransportChannel.java | 34 ++++ .../stream/StreamingTransportChannel.java | 2 - .../RemoteClusterAwareClientTests.java | 150 +++++++++++++++++ .../transport/TaskTransportChannelTests.java | 53 ++++++ 18 files changed, 834 insertions(+), 19 deletions(-) create mode 100644 plugins/arrow-flight-rpc/src/test/java/org/apache/arrow/flight/OSFlightServerKeepAliveTests.java create mode 100644 server/src/test/java/org/opensearch/transport/TaskTransportChannelTests.java diff --git a/plugins/arrow-flight-rpc/docs/backpressure.md b/plugins/arrow-flight-rpc/docs/backpressure.md index 96bb69c78607c..6233b41d2181e 100644 --- a/plugins/arrow-flight-rpc/docs/backpressure.md +++ b/plugins/arrow-flight-rpc/docs/backpressure.md @@ -108,7 +108,7 @@ doesn't formally bound this. A byte-aware bounded queue at the eventloop entry — that parks (or rejects) the producer when the sum of queued batch sizes crosses a per-channel cap — -would close the gap. Open design questions: +would close the gap for the async path. Open design questions: - **Cap dimension**: byte-aware (sum of retained sizes) vs depth-aware (count). Bytes is correct for OOM protection. @@ -120,6 +120,21 @@ would close the gap. Open design questions: Tracked separately; not addressed in this change. +### Synchronous send (bounded, opt-in) + +A caller that needs a hard bound *today* can send synchronously: +`channel.sendResponseBatch(response, /* sync */ true)`. The batch is still +serialized and written on the channel's send executor (the same executor the +async path uses), but the calling thread **blocks until the batch has been +pushed to gRPC's per-stream outbound buffer**, so it cannot queue the next batch +ahead of this one — outstanding batches are bounded to one, with no eventloop +queue to grow. When that outbound buffer is full, the `isReady()` back-pressure +gate (above) throttles the producer. + +A caller that opts in **must drive a single stream from a single thread** and must +not call from the send-executor thread itself. The default +`sendResponseBatch(response)` is unchanged — async, via the eventloop. + ### ⚠️ Virtual threads for park-bound producers > **For workloads where the producer is mostly bottlenecked on diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/bootstrap/ServerConfig.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/bootstrap/ServerConfig.java index 73bab9a8cddf9..71ed5ea537e56 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/bootstrap/ServerConfig.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/bootstrap/ServerConfig.java @@ -22,7 +22,9 @@ import java.security.PrivilegedAction; import java.util.ArrayList; import java.util.Arrays; +import java.util.Iterator; import java.util.List; +import java.util.Map; import java.util.function.Function; import io.netty.channel.Channel; @@ -187,6 +189,55 @@ public ServerConfig() {} Setting.Property.NodeScope ); + // gRPC server keepalive. Defaults match gRPC's own server defaults (time 2h, timeout 20s) so + // behaviour is unchanged from before this setting existed; lower the time for faster + // dead-connection detection (releases resources held by a stalled stream on a half-open connection). + static final Setting FLIGHT_KEEPALIVE_TIME = Setting.timeSetting( + "flight.keepalive.time", + TimeValue.timeValueHours(2), + TimeValue.timeValueSeconds(1), + Setting.Property.NodeScope + ); + + // Must be strictly less than FLIGHT_KEEPALIVE_TIME (else a slow-but-alive peer is + // false-disconnected); enforced by the validator below. + static final Setting FLIGHT_KEEPALIVE_TIMEOUT = new Setting<>( + "flight.keepalive.timeout", + TimeValue.timeValueSeconds(20).getStringRep(), + s -> TimeValue.parseTimeValue(s, "flight.keepalive.timeout"), + new KeepAliveTimeoutValidator(), + Setting.Property.NodeScope + ); + + /** Enforces {@code flight.keepalive.timeout < flight.keepalive.time}. */ + static final class KeepAliveTimeoutValidator implements Setting.Validator { + @Override + public void validate(final TimeValue value) {} + + @Override + public void validate(final TimeValue timeout, final Map, Object> settings) { + final TimeValue time = (TimeValue) settings.get(FLIGHT_KEEPALIVE_TIME); + if (timeout.nanos() >= time.nanos()) { + throw new IllegalArgumentException( + "[" + + FLIGHT_KEEPALIVE_TIMEOUT.getKey() + + "] (" + + timeout + + ") must be less than [" + + FLIGHT_KEEPALIVE_TIME.getKey() + + "] (" + + time + + ")" + ); + } + } + + @Override + public Iterator> settings() { + return List.>of(FLIGHT_KEEPALIVE_TIME).iterator(); + } + } + /** * The thread pool name for the Flight producer handling */ @@ -207,6 +258,8 @@ public ServerConfig() {} private static int threadPoolMax; private static TimeValue keepAlive; private static int eventLoopThreads; + private static TimeValue grpcKeepAliveTime; + private static TimeValue grpcKeepAliveTimeout; /** * Initializes the server configuration with the provided settings. @@ -230,6 +283,18 @@ public static void init(Settings settings) { threadPoolMax = FLIGHT_THREAD_POOL_MAX_SIZE.get(settings); keepAlive = FLIGHT_THREAD_POOL_KEEP_ALIVE.get(settings); eventLoopThreads = FLIGHT_EVENT_LOOP_THREADS.get(settings); + grpcKeepAliveTime = FLIGHT_KEEPALIVE_TIME.get(settings); + grpcKeepAliveTimeout = FLIGHT_KEEPALIVE_TIMEOUT.get(settings); + } + + /** gRPC keepalive PING interval on the Flight server (connection-level liveness). */ + public static TimeValue getGrpcKeepAliveTime() { + return grpcKeepAliveTime; + } + + /** gRPC keepalive ack timeout: kill the connection if a PING is unacked for this long. */ + public static TimeValue getGrpcKeepAliveTimeout() { + return grpcKeepAliveTimeout; } /** @@ -290,6 +355,8 @@ public static List> getSettings() { ARROW_ENABLE_DEBUG_ALLOCATOR, ARROW_ENABLE_UNSAFE_MEMORY_ACCESS, ARROW_SSL_ENABLE, + FLIGHT_KEEPALIVE_TIME, + FLIGHT_KEEPALIVE_TIMEOUT, FLIGHT_EVENT_LOOP_THREADS, FLIGHT_THREAD_POOL_MIN_SIZE, FLIGHT_READY_TIMEOUT, diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java index 51a41539abaef..713674b7702cc 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightOutboundHandler.java @@ -26,11 +26,14 @@ import org.opensearch.transport.TransportRequest; import org.opensearch.transport.TransportRequestOptions; import org.opensearch.transport.nativeprotocol.NativeOutboundMessage; +import org.opensearch.transport.stream.StreamErrorCode; import org.opensearch.transport.stream.StreamException; import java.io.IOException; import java.nio.ByteBuffer; import java.util.Set; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.Future; /** * Outbound handler for Arrow Flight streaming responses. @@ -120,7 +123,8 @@ public void sendResponseBatch( final String action, final TransportResponse response, final boolean compress, - final boolean isHandshake + final boolean isHandshake, + final boolean sync ) throws IOException { BatchTask task = new BatchTask( nodeVersion, @@ -157,14 +161,26 @@ public void sendResponseBatch( // docs/backpressure.md "Known limitation: unbounded eventloop queue". flightChannel.awaitReadyOrThrow(); - flightChannel.getExecutor().execute(threadPool.getThreadContext().preserveContext(() -> { + final Runnable sendBatch = threadPool.getThreadContext().preserveContext(() -> { try (BatchTask ignored = task) { processBatchTask(task); } catch (Exception e) { messageListener.onResponseSent(requestId, action, e); } - })); - handedOff = true; + }); + // sync blocks the caller until the batch has been pushed to gRPC's outbound buffer (bounding + // outstanding batches to one; a full buffer is throttled by the readiness gate above); async + // returns once it is queued. Both run on the channel executor, and both transfer source + // ownership to that task the moment it is accepted — so handedOff is set before any blocking + // wait, ensuring the finally's releaseUnsent never double-frees a source the task already owns. + if (sync) { + Future future = flightChannel.getExecutor().submit(sendBatch); + handedOff = true; // task accepted; it now owns (and will free) the source + awaitSend(future); + } else { + flightChannel.getExecutor().execute(sendBatch); + handedOff = true; + } } finally { if (handedOff == false) { flightChannel.releaseUnsent(response); @@ -172,6 +188,31 @@ public void sendResponseBatch( } } + /** + * Blocks the caller until the executor has run the submitted send, so the caller cannot submit the + * next batch until this one has been pushed to gRPC's outbound buffer (a full buffer is throttled by + * the readiness back-pressure gate). The send itself runs on the channel's flight executor (so it is + * serialized with the stream-root free that {@code close()} posts to the same executor); this only + * parks the caller for the result. The caller must be a producer thread, not the flight executor + * thread itself (blocking on the result from that thread would deadlock the single-threaded executor). + */ + private void awaitSend(Future future) { + try { + future.get(); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + throw new StreamException(StreamErrorCode.INTERNAL, "Interrupted while sending batch synchronously", e); + } catch (ExecutionException e) { + // The work body catches its own exceptions and routes them to the listener, so this is not + // expected; surface it rather than swallow if it ever happens. + Throwable cause = e.getCause() != null ? e.getCause() : e; + if (cause instanceof StreamException se) { + throw se; + } + throw new StreamException(StreamErrorCode.INTERNAL, "Error sending batch synchronously", cause); + } + } + private void processBatchTask(BatchTask task) { if (!(task.channel() instanceof FlightServerChannel flightChannel)) { Exception error = new IllegalStateException("Expected FlightServerChannel, got " + task.channel().getClass().getName()); diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java index 4b719e95c36f6..6c105b1364c90 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightServerChannel.java @@ -52,8 +52,16 @@ * until gRPC's outbound buffer drains below {@code setOnReadyThreshold}. * *

      Ownership & concurrency — single-writer model. This channel is the sole owner of - * every Arrow buffer it sends and of the gRPC stream lifecycle. It keeps that ownership safe by - * confining the stream root to a single thread: + * every Arrow buffer it sends and of the gRPC stream lifecycle. + * + *

      Invariant: this channel is NOT thread-safe. All send-side mutation — the stream {@link #root} + * (create/transfer/serialize/free), {@link #terminalSent}, and every {@code serverStreamListener} call + * — MUST run on the channel's single {@link #getExecutor() flight-executor thread}, and never + * concurrently from more than one thread. The executor is single-threaded, so it serializes those + * mutations and the buffer frees among themselves. Violating this (e.g. mutating the root from a + * producer thread while {@code close()} frees it on the executor) is a data race that corrupts Arrow + * reference counts and can orphan or double-free buffers (an off-heap leak). It keeps that ownership + * safe by confining the stream root to that single thread: *

        *
      • The stream {@link #root} and every {@code serverStreamListener} call * ({@code start}/{@code putNext}/{@code completed}/{@code error}) happen only on the channel's @@ -180,6 +188,11 @@ public BufferAllocator getAllocator() { return allocator; } + /** Whether the client cancelled the gRPC stream (onChannelCancelled fired). Read by FlightTransportChannel. */ + public boolean isCancelled() { + return cancelled; + } + /** Returns the current stream root. Package-private; intended for tests/assertions only. */ VectorSchemaRoot getRoot() { return root; diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransport.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransport.java index 49572a01ddce6..663aeb543011d 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransport.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransport.java @@ -65,8 +65,10 @@ import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicInteger; import java.util.concurrent.atomic.AtomicReference; +import java.util.function.Consumer; import java.util.stream.Collectors; +import io.grpc.netty.NettyServerBuilder; import io.netty.channel.EventLoopGroup; import io.netty.channel.MultiThreadIoEventLoopGroup; import io.netty.channel.nio.NioIoHandler; @@ -251,6 +253,17 @@ private List bindToPort(InetAddress[] hostAddresses) { .backpressureThreshold((int) ServerConfig.FLIGHT_OUTBOUND_BUFFER_THRESHOLD.get(settings).getBytes()) .middleware(SERVER_HEADER_KEY, factory); + // Server-side gRPC keepalive (see ServerConfig.FLIGHT_KEEPALIVE_TIME). NOTE: only the + // server pings today; adding a client keepalive also requires + // permitKeepAliveTime/permitKeepAliveWithoutCalls here, else the server GOAWAYs the + // client with "too_many_pings". + final long keepAliveTimeMs = ServerConfig.getGrpcKeepAliveTime().millis(); + final long keepAliveTimeoutMs = ServerConfig.getGrpcKeepAliveTimeout().millis(); + builder.transportHint("grpc.builderConsumer", (Consumer) b -> { + b.keepAliveTime(keepAliveTimeMs, TimeUnit.MILLISECONDS); + b.keepAliveTimeout(keepAliveTimeoutMs, TimeUnit.MILLISECONDS); + }); + builder.location(locations.get(0)); for (int i = 1; i < locations.size(); i++) { builder.addListenAddress(locations.get(i)); diff --git a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportChannel.java b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportChannel.java index de950ba51ccc6..9b6d577491878 100644 --- a/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportChannel.java +++ b/plugins/arrow-flight-rpc/src/main/java/org/opensearch/arrow/flight/transport/FlightTransportChannel.java @@ -85,6 +85,11 @@ public void sendResponse(Exception exception) throws IOException { @Override public void sendResponseBatch(TransportResponse response) { + sendResponseBatch(response, false); + } + + @Override + public void sendResponseBatch(TransportResponse response, boolean sync) { if (!streamOpen.get()) { throw new StreamException(StreamErrorCode.UNAVAILABLE, "Stream is closed for requestId [" + requestId + "]"); } @@ -101,7 +106,8 @@ public void sendResponseBatch(TransportResponse response) { action, response, compressResponse, - isHandshake + isHandshake, + sync ); } catch (StreamException e) { // Cancelled: consumer is gone, release ends the call cleanly. For other @@ -155,4 +161,9 @@ public void releaseChannel(boolean isExceptionResponse) { public BufferAllocator getAllocator() { return ((FlightServerChannel) getChannel()).getAllocator(); } + + @Override + public boolean isCancelled() { + return getChannel() instanceof FlightServerChannel fsc && fsc.isCancelled(); + } } diff --git a/plugins/arrow-flight-rpc/src/test/java/org/apache/arrow/flight/OSFlightServerKeepAliveTests.java b/plugins/arrow-flight-rpc/src/test/java/org/apache/arrow/flight/OSFlightServerKeepAliveTests.java new file mode 100644 index 0000000000000..5336440b87f60 --- /dev/null +++ b/plugins/arrow-flight-rpc/src/test/java/org/apache/arrow/flight/OSFlightServerKeepAliveTests.java @@ -0,0 +1,79 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.apache.arrow.flight; + +import org.opensearch.common.SuppressForbidden; +import org.opensearch.test.OpenSearchTestCase; + +import java.lang.reflect.Field; +import java.util.Map; +import java.util.concurrent.TimeUnit; +import java.util.function.Consumer; + +import io.grpc.netty.NettyServerBuilder; + +/** + * Proves the gRPC keepalive wiring actually reaches the {@link NettyServerBuilder}. + * + *

        {@code FlightTransport} configures server keepalive by registering a + * {@code Consumer} under the {@code "grpc.builderConsumer"} transport hint, which + * {@link OSFlightServer.Builder#build()} applies to the live builder. The hint is best-effort ("not + * guaranteed to have any effect"), so this test guards that the key is honored on the pinned Arrow / + * gRPC versions: it registers the same consumer, recovers it from the builder's options, applies it to + * a real {@link NettyServerBuilder}, and reads back gRPC's own keepalive fields to confirm the exact + * values landed. If an Arrow upgrade ever dropped/renamed the hook, or the gRPC keepalive API changed, + * this fails instead of the keepalive silently becoming a no-op. + */ +public class OSFlightServerKeepAliveTests extends OpenSearchTestCase { + + @SuppressWarnings("unchecked") + @SuppressForbidden(reason = "reads private builderOptions + gRPC keepalive fields to verify the hint is applied") + public void testKeepAliveConsumerReachesNettyServerBuilder() throws Exception { + final long keepAliveMs = 60_000L; + final long keepAliveTimeoutMs = 20_000L; + + // Register the consumer exactly as FlightTransport does. + OSFlightServer.Builder builder = OSFlightServer.builder(); + builder.transportHint("grpc.builderConsumer", (Consumer) b -> { + b.keepAliveTime(keepAliveMs, TimeUnit.MILLISECONDS); + b.keepAliveTimeout(keepAliveTimeoutMs, TimeUnit.MILLISECONDS); + }); + + // Recover the consumer the same way OSFlightServer.build() does (builderOptions is private). + final Field optionsField = OSFlightServer.Builder.class.getDeclaredField("builderOptions"); + optionsField.setAccessible(true); + final Map options = (Map) optionsField.get(builder); + final Object hook = options.get("grpc.builderConsumer"); + assertNotNull("grpc.builderConsumer hint must be stored on the builder", hook); + + // Apply it to a real NettyServerBuilder. accept() not throwing already proves the hint key is + // honored and the gRPC keepAliveTime/keepAliveTimeout(long, TimeUnit) signatures still match. + NettyServerBuilder nettyBuilder = NettyServerBuilder.forPort(0); + ((Consumer) hook).accept(nettyBuilder); + + // And confirm the exact values landed by reading gRPC's own keepalive fields (nanos). + assertEquals( + "keepAliveTime must be applied to the gRPC builder", + TimeUnit.MILLISECONDS.toNanos(keepAliveMs), + readLongField(nettyBuilder, "keepAliveTimeInNanos") + ); + assertEquals( + "keepAliveTimeout must be applied to the gRPC builder", + TimeUnit.MILLISECONDS.toNanos(keepAliveTimeoutMs), + readLongField(nettyBuilder, "keepAliveTimeoutInNanos") + ); + } + + @SuppressForbidden(reason = "reads gRPC's private keepalive field to verify the value was applied") + private static long readLongField(NettyServerBuilder builder, String name) throws Exception { + final Field f = NettyServerBuilder.class.getDeclaredField(name); + f.setAccessible(true); + return f.getLong(builder); + } +} diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/bootstrap/ServerConfigTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/bootstrap/ServerConfigTests.java index 71a275338cd58..aeb6e53e6c710 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/bootstrap/ServerConfigTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/bootstrap/ServerConfigTests.java @@ -7,6 +7,7 @@ */ package org.opensearch.arrow.flight.bootstrap; +import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Settings; import org.opensearch.common.unit.TimeValue; import org.opensearch.core.common.unit.ByteSizeUnit; @@ -14,6 +15,8 @@ import org.opensearch.test.OpenSearchTestCase; import org.opensearch.threadpool.ScalingExecutorBuilder; +import java.util.Set; + import static org.opensearch.arrow.flight.bootstrap.ServerConfig.SETTING_FLIGHT_PUBLISH_PORT; public class ServerConfigTests extends OpenSearchTestCase { @@ -97,6 +100,35 @@ public void testBackpressureSettingsParse() { assertEquals(16L * 1024 * 1024, ServerConfig.FLIGHT_OUTBOUND_BUFFER_THRESHOLD.get(overridden).getBytes()); } + public void testKeepAliveDefaultsMatchGrpc() { + assertEquals(TimeValue.timeValueHours(2), ServerConfig.FLIGHT_KEEPALIVE_TIME.get(Settings.EMPTY)); + assertEquals(TimeValue.timeValueSeconds(20), ServerConfig.FLIGHT_KEEPALIVE_TIMEOUT.get(Settings.EMPTY)); + } + + public void testKeepAliveTimeoutMustBeLessThanTime() { + ClusterSettings clusterSettings = new ClusterSettings( + Settings.EMPTY, + Set.of(ServerConfig.FLIGHT_KEEPALIVE_TIME, ServerConfig.FLIGHT_KEEPALIVE_TIMEOUT) + ); + Settings equal = Settings.builder() + .put(ServerConfig.FLIGHT_KEEPALIVE_TIME.getKey(), TimeValue.timeValueSeconds(30)) + .put(ServerConfig.FLIGHT_KEEPALIVE_TIMEOUT.getKey(), TimeValue.timeValueSeconds(30)) + .build(); + expectThrows(IllegalArgumentException.class, () -> clusterSettings.validate(equal, false)); + + Settings greater = Settings.builder() + .put(ServerConfig.FLIGHT_KEEPALIVE_TIME.getKey(), TimeValue.timeValueSeconds(30)) + .put(ServerConfig.FLIGHT_KEEPALIVE_TIMEOUT.getKey(), TimeValue.timeValueSeconds(40)) + .build(); + expectThrows(IllegalArgumentException.class, () -> clusterSettings.validate(greater, false)); + + Settings ok = Settings.builder() + .put(ServerConfig.FLIGHT_KEEPALIVE_TIME.getKey(), TimeValue.timeValueSeconds(60)) + .put(ServerConfig.FLIGHT_KEEPALIVE_TIMEOUT.getKey(), TimeValue.timeValueSeconds(20)) + .build(); + clusterSettings.validate(ok, false); + } + public void testReadyTimeoutMinimum() { // 100ms minimum is enforced; lower values must be rejected at parse. Settings tooLow = Settings.builder().put(ServerConfig.FLIGHT_READY_TIMEOUT.getKey(), TimeValue.timeValueMillis(50)).build(); diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java index 30574d5512ed2..11ce8b89c8786 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightOutboundHandlerTests.java @@ -42,6 +42,7 @@ import java.util.concurrent.Executors; import java.util.concurrent.RejectedExecutionException; import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicBoolean; import java.util.concurrent.atomic.AtomicReference; import static org.mockito.ArgumentMatchers.any; @@ -105,6 +106,7 @@ public void testSendResponseBatchPreservesCallerThreadContext() throws Exception "test-action", mock(TransportResponse.class), false, + false, false ); @@ -177,6 +179,7 @@ public void testSendResponseBatchPropagatesContextToExecutorThread() throws Exce "test-action", mock(TransportResponse.class), false, + false, false ); @@ -202,6 +205,7 @@ public void testMultipleBatchesMaintainCallerContext() throws Exception { "test-action", mock(TransportResponse.class), false, + false, false ); @@ -250,6 +254,7 @@ public void testProcessBatchTaskDelegatesToChannelSendBatch() throws Exception { "test-action", response, false, + false, false ); @@ -279,6 +284,7 @@ public void testProcessBatchTaskNonArrowResponseDelegatesToSendBatch() throws Ex "test-action", mock(TransportResponse.class), false, + false, false ); @@ -311,6 +317,7 @@ public void testSendResponseBatchReleasesSourceWhenGateThrows() { "test-action", response, false, + false, false ) ); @@ -341,6 +348,7 @@ public void testSendResponseBatchReleasesSourceWhenExecutorRejects() { "test-action", response, false, + false, false ) ); @@ -367,6 +375,7 @@ public void testSendResponseBatchDoesNotReleaseOnSuccessfulHandoff() throws Exce "test-action", response, false, + false, false ); @@ -395,6 +404,7 @@ public void testProcessBatchTaskFailureSendsErrorAndReleasesChannel() throws Exc "test-action", mock(TransportResponse.class), false, + false, false ); @@ -428,6 +438,7 @@ public void testProcessBatchTaskFlightRuntimeExceptionFailsStreamWithMappedError "test-action", mock(TransportResponse.class), false, + false, false ); @@ -466,6 +477,7 @@ public void testFailStreamSwallowsSendErrorFailureAndStillReleases() throws Exce "test-action", mock(TransportResponse.class), false, + false, false ); @@ -498,6 +510,7 @@ public void testFailStreamWithNullTransportChannelDoesNotThrow() throws Exceptio "test-action", mock(TransportResponse.class), false, + false, false ); @@ -530,6 +543,7 @@ public void testProcessBatchTaskThrowableReleasesChannel() throws Exception { "test-action", mock(TransportResponse.class), false, + false, false ); @@ -558,6 +572,7 @@ public void testProcessBatchTaskThrowableClosesChannelWhenNoTransportChannel() t "test-action", mock(TransportResponse.class), false, + false, false ); @@ -622,6 +637,7 @@ public void testSendResponseBatchGatesBeforeExecutor() throws Exception { "test-action", mock(TransportResponse.class), false, + false, false ); @@ -631,6 +647,144 @@ public void testSendResponseBatchGatesBeforeExecutor() throws Exception { verify(mockFlightChannel).awaitReadyOrThrow(); } + /** Async (sync=false): the batch send is handed to the channel executor, off the calling thread. */ + public void testAsyncSendUsesChannelExecutor() throws Exception { + ExecutorService submitTrap = mock(ExecutorService.class); + when(mockFlightChannel.getExecutor()).thenReturn(submitTrap); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + mock(TransportResponse.class), + false, + false, + false // sync=false + ); + + verify(submitTrap).execute(any()); // dispatched to the executor + } + + /** + * Sync (sync=true): the batch send is submitted to the channel executor (so it is serialized against + * the root free that close() posts to the same executor) AND the caller blocks until it has run. + * Contrast with async, which dispatches via execute() and returns without waiting. + */ + public void testSyncSendRunsOnExecutorAndBlocks() throws Exception { + // Real named single-thread executor: the send must run ON it (not the caller thread), and the + // sync call must not return until the send has completed. + ExecutorService flightExecutor = Executors.newSingleThreadExecutor(r -> new Thread(r, "flight-eventloop-unittest")); + try { + when(mockFlightChannel.getExecutor()).thenReturn(flightExecutor); + AtomicBoolean sentBeforeReturn = new AtomicBoolean(false); + AtomicReference ranOnThread = new AtomicReference<>(); + doAnswer(invocation -> { + ranOnThread.set(Thread.currentThread().getName()); + sentBeforeReturn.set(true); + return null; + }).when(mockListener).onResponseSent(anyLong(), anyString(), any(TransportResponse.class)); + + handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + mock(TransportResponse.class), + false, + false, + true // sync=true + ); + + // sync blocks on the submitted task, so the send has completed by the time the call returns... + assertTrue("sync send must have run (and notified) before returning", sentBeforeReturn.get()); + // ...and it ran on the flight executor thread, not the calling test thread. + assertEquals("sync send must run on the flight executor, not the caller", "flight-eventloop-unittest", ranOnThread.get()); + } finally { + flightExecutor.shutdownNow(); + flightExecutor.awaitTermination(5, TimeUnit.SECONDS); + } + } + + /** + * A sync send whose executor work throws (e.g. onResponseSent itself fails) must surface the failure + * to the caller as a StreamException rather than hang or swallow it — the ExecutionException unwrap in + * runOnExecutorAndWait. Uses an executor that runs the task but lets its exception escape the Future. + */ + public void testSyncSendSurfacesWorkFailureAsStreamException() throws Exception { + ExecutorService flightExecutor = Executors.newSingleThreadExecutor(); + try { + when(mockFlightChannel.getExecutor()).thenReturn(flightExecutor); + // sendBatch's own catch routes processBatchTask failures to the listener; make that listener + // call itself throw so the exception escapes the submitted Runnable and reaches Future.get(). + doThrow(new RuntimeException("listener boom")).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + doThrow(new RuntimeException("send failed")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + + StreamException thrown = expectThrows( + StreamException.class, + () -> handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + mock(TransportResponse.class), + false, + false, + true // sync + ) + ); + assertEquals(StreamErrorCode.INTERNAL, thrown.getErrorCode()); + } finally { + flightExecutor.shutdownNow(); + flightExecutor.awaitTermination(5, TimeUnit.SECONDS); + } + } + + /** + * Regression: a sync send whose blocking wait throws AFTER the task was accepted must NOT also run + * releaseUnsent — the accepted task already owns and frees the source, so a second free would be a + * double free. Ownership (handedOff) is transferred at submit time, before the wait, so the handler's + * finally must skip releaseUnsent even though the wait threw. + */ + public void testSyncSendDoesNotReleaseUnsentAfterTaskAccepted() throws Exception { + ExecutorService flightExecutor = Executors.newSingleThreadExecutor(); + try { + when(mockFlightChannel.getExecutor()).thenReturn(flightExecutor); + // Force the blocking wait to throw AFTER submit succeeds: the task runs, its send fails, and + // routing that failure to the listener throws, so the exception escapes to Future.get(). + doThrow(new RuntimeException("send failed")).when(mockFlightChannel).sendBatch(any(TransportResponse.class), any()); + doThrow(new RuntimeException("listener boom")).when(mockListener).onResponseSent(anyLong(), anyString(), any(Exception.class)); + + expectThrows( + StreamException.class, + () -> handler.sendResponseBatch( + Version.CURRENT, + Collections.emptySet(), + mockFlightChannel, + mock(FlightTransportChannel.class), + 1L, + "test-action", + mock(TransportResponse.class), + false, + false, + true // sync + ) + ); + + // The accepted task owns the source; releaseUnsent must NOT run (that would be the double free). + verify(mockFlightChannel, never()).releaseUnsent(any()); + } finally { + flightExecutor.shutdownNow(); + flightExecutor.awaitTermination(5, TimeUnit.SECONDS); + } + } + /** * If awaitReadyOrThrow throws (timeout / cancellation), the StreamException must * propagate to the caller — sendResponseBatch must NOT submit the BatchTask, and @@ -654,6 +808,7 @@ public void testSendResponseBatchPropagatesAwaitReadyException() { "test-action", mock(TransportResponse.class), false, + false, false ) ); diff --git a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportChannelTests.java b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportChannelTests.java index e4c42c6064e3a..05ef4faf55c65 100644 --- a/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportChannelTests.java +++ b/plugins/arrow-flight-rpc/src/test/java/org/opensearch/arrow/flight/transport/FlightTransportChannelTests.java @@ -89,7 +89,8 @@ public void testSendResponseBatchSuccess() throws IOException, InterruptedExcept doAnswer(invocation -> { latch.countDown(); return null; - }).when(mockOutboundHandler).sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean()); + }).when(mockOutboundHandler) + .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean(), anyBoolean()); channel.sendResponseBatch(response); @@ -103,6 +104,45 @@ public void testSendResponseBatchSuccess() throws IOException, InterruptedExcept eq("test-action"), eq(response), eq(false), + eq(false), + eq(false) + ); + } + + public void testExplicitSyncIsPropagatedToHandler() throws IOException { + TransportResponse response = mock(TransportResponse.class); + + // sync is opt-in and passed straight through to the handler. + channel.sendResponseBatch(response, true); + verify(mockOutboundHandler).sendResponseBatch( + any(), + any(), + any(), + any(), + anyLong(), + any(), + eq(response), + anyBoolean(), + anyBoolean(), + eq(true) + ); + } + + public void testDefaultSendResponseBatchIsAsync() throws IOException { + TransportResponse response = mock(TransportResponse.class); + + // The 1-arg form defaults to async (sync=false); no response type is auto-synced. + channel.sendResponseBatch(response); + verify(mockOutboundHandler).sendResponseBatch( + any(), + any(), + any(), + any(), + anyLong(), + any(), + eq(response), + anyBoolean(), + anyBoolean(), eq(false) ); } @@ -122,7 +162,7 @@ public void testSendResponseBatchWithCancellationException() throws IOException StreamException cancellationException = new StreamException(StreamErrorCode.CANCELLED, "cancelled"); doThrow(cancellationException).when(mockOutboundHandler) - .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean()); + .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean(), anyBoolean()); StreamException thrown = assertThrows(StreamException.class, () -> channel.sendResponseBatch(response)); assertEquals(StreamErrorCode.CANCELLED, thrown.getErrorCode()); @@ -139,7 +179,7 @@ public void testSendResponseBatchWithGenericException() throws IOException { RuntimeException genericException = new RuntimeException("generic error"); doThrow(genericException).when(mockOutboundHandler) - .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean()); + .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean(), anyBoolean()); StreamException thrown = assertThrows(StreamException.class, () -> channel.sendResponseBatch(response)); assertEquals(StreamErrorCode.INTERNAL, thrown.getErrorCode()); @@ -156,7 +196,7 @@ public void testSendResponseBatchWithNonCancelStreamExceptionDoesNotRelease() th StreamException timedOut = new StreamException(StreamErrorCode.TIMED_OUT, "consumer not ready"); doThrow(timedOut).when(mockOutboundHandler) - .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean()); + .sendResponseBatch(any(), any(), any(), any(), anyLong(), any(), any(), anyBoolean(), anyBoolean(), anyBoolean()); StreamException thrown = assertThrows(StreamException.class, () -> channel.sendResponseBatch(response)); assertSame(timedOut, thrown); diff --git a/server/src/main/java/org/opensearch/transport/RemoteClusterAwareClient.java b/server/src/main/java/org/opensearch/transport/RemoteClusterAwareClient.java index b3361d88ee7a0..1b91adf3a564a 100644 --- a/server/src/main/java/org/opensearch/transport/RemoteClusterAwareClient.java +++ b/server/src/main/java/org/opensearch/transport/RemoteClusterAwareClient.java @@ -35,29 +35,48 @@ import org.opensearch.action.ActionRequest; import org.opensearch.action.ActionType; import org.opensearch.cluster.node.DiscoveryNode; +import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.common.settings.Settings; import org.opensearch.core.action.ActionListener; import org.opensearch.core.action.ActionResponse; +import org.opensearch.core.transport.TransportResponse; import org.opensearch.threadpool.ThreadPool; import org.opensearch.transport.client.Client; import org.opensearch.transport.client.support.AbstractClient; /** - * Client that is aware of remote clusters + * Client that is aware of remote clusters. Beyond the regular request/response path it exposes + * {@link #sendStreamRequest} for streaming (Arrow Flight) requests to a remote cluster, so it is a + * public type callers can hold to reach that streaming path. * - * @opensearch.internal + * @opensearch.experimental */ -final class RemoteClusterAwareClient extends AbstractClient { +@ExperimentalApi +public final class RemoteClusterAwareClient extends AbstractClient { private final TransportService service; private final String clusterAlias; private final RemoteClusterService remoteClusterService; + // Null when the stream transport is not enabled on this node; sendStreamRequest then throws rather + // than falling back to the regular request/response path. + private final StreamTransportService streamTransportService; RemoteClusterAwareClient(Settings settings, ThreadPool threadPool, TransportService service, String clusterAlias) { + this(settings, threadPool, service, clusterAlias, null); + } + + RemoteClusterAwareClient( + Settings settings, + ThreadPool threadPool, + TransportService service, + String clusterAlias, + StreamTransportService streamTransportService + ) { super(settings, threadPool); this.service = service; this.clusterAlias = clusterAlias; this.remoteClusterService = service.getRemoteClusterService(); + this.streamTransportService = streamTransportService; } @Override @@ -84,6 +103,63 @@ protected void }, listener::onFailure)); } + /** + * Streaming sibling of {@link #doExecute}: sends {@code request} to the remote cluster over the + * stream (Arrow Flight) transport and delivers the response batches to {@code handler}. + * + *

        Semantics mirror {@link #doExecute} exactly — same {@code ensureConnected} on the remote + * cluster, same node selection ({@link RemoteClusterAwareRequest#getPreferredTargetNode()} when + * the request implements it, otherwise any connected remote node) — except the request is + * carried by {@link StreamTransportService} with {@link TransportRequestOptions.Type#STREAM}. + * Because the stream transport maintains its own connections, the target node is connected on + * the stream transport (no-op if already connected) before the request is sent. + * + * @throws IllegalStateException if the stream transport is not enabled on this node. + */ + public void sendStreamRequest( + String action, + TransportRequest request, + DiscoveryNode targetNode, + StreamTransportResponseHandler handler + ) { + if (streamTransportService == null) { + throw new IllegalStateException( + "stream transport is not enabled on this node; cannot open a streaming request to remote cluster [" + clusterAlias + "]" + ); + } + remoteClusterService.ensureConnected(clusterAlias, ActionListener.wrap(v -> { + final DiscoveryNode node = targetNode != null ? targetNode : selectTargetNode(request); + // The stream transport has its own connection manager, so connect the node there separately + // (the ensureConnected above only covers the regular transport). + streamTransportService.connectToNode(node, null, ActionListener.wrap(c -> { + final TransportRequestOptions options = TransportRequestOptions.builder() + .withType(TransportRequestOptions.Type.STREAM) + .withTimeout(streamTransportService.getStreamTransportReqTimeout()) + .build(); + streamTransportService.sendRequest(node, action, request, options, handler); + }, e -> handler.handleException(wrapAsTransportException(node, e)))); + }, e -> handler.handleException(wrapAsTransportException(null, e)))); + } + + /** + * Node-selection rule shared with {@link #doExecute}: the request's preferred target when it is a + * {@link RemoteClusterAwareRequest}, otherwise any connected remote node. ({@code doExecute} keeps + * its connection-oriented form because it needs a {@link Transport.Connection}, not just the node.) + */ + private DiscoveryNode selectTargetNode(TransportRequest request) { + if (request instanceof RemoteClusterAwareRequest remoteClusterAwareRequest) { + return remoteClusterAwareRequest.getPreferredTargetNode(); + } + return remoteClusterService.getConnection(clusterAlias).getNode(); + } + + private static TransportException wrapAsTransportException(DiscoveryNode node, Exception e) { + if (e instanceof TransportException te) { + return te; + } + return node != null ? new ConnectTransportException(node, "failed to open streaming connection", e) : new TransportException(e); + } + @Override public void close() { // do nothing diff --git a/server/src/main/java/org/opensearch/transport/RemoteClusterService.java b/server/src/main/java/org/opensearch/transport/RemoteClusterService.java index fc0f3ab8f9546..fa42216bbba5c 100644 --- a/server/src/main/java/org/opensearch/transport/RemoteClusterService.java +++ b/server/src/main/java/org/opensearch/transport/RemoteClusterService.java @@ -409,6 +409,22 @@ public void onFailure(Exception e) { * @throws IllegalArgumentException if the given clusterAlias doesn't exist */ public Client getRemoteClusterClient(ThreadPool threadPool, String clusterAlias) { + return getRemoteClusterClient(threadPool, clusterAlias, null); + } + + /** + * Returns a client to the remote cluster that additionally supports streaming requests over the + * given {@link StreamTransportService} (Arrow Flight) via + * {@link RemoteClusterAwareClient#sendStreamRequest}. Regular request/response behaviour is + * identical to {@link #getRemoteClusterClient(ThreadPool, String)}; passing a null + * {@code streamTransportService} yields a client whose streaming path is disabled. + * + * @param threadPool the {@link ThreadPool} for the client + * @param clusterAlias the cluster alias the remote cluster is registered under + * @param streamTransportService node-local stream transport service, or null if not enabled + * @throws IllegalArgumentException if the given clusterAlias doesn't exist + */ + public Client getRemoteClusterClient(ThreadPool threadPool, String clusterAlias, StreamTransportService streamTransportService) { if (transportService.getRemoteClusterService().isEnabled() == false) { throw new IllegalArgumentException( "this node does not have the " + DiscoveryNodeRole.REMOTE_CLUSTER_CLIENT_ROLE.roleName() + " role" @@ -417,7 +433,7 @@ public Client getRemoteClusterClient(ThreadPool threadPool, String clusterAlias) if (transportService.getRemoteClusterService().getRemoteClusterNames().contains(clusterAlias) == false) { throw new NoSuchRemoteClusterException(clusterAlias); } - return new RemoteClusterAwareClient(settings, threadPool, transportService, clusterAlias); + return new RemoteClusterAwareClient(settings, threadPool, transportService, clusterAlias, streamTransportService); } Collection getConnections() { diff --git a/server/src/main/java/org/opensearch/transport/StreamTransportService.java b/server/src/main/java/org/opensearch/transport/StreamTransportService.java index 6535e9c8fda41..0cf56be06bd09 100644 --- a/server/src/main/java/org/opensearch/transport/StreamTransportService.java +++ b/server/src/main/java/org/opensearch/transport/StreamTransportService.java @@ -12,6 +12,7 @@ import org.apache.logging.log4j.Logger; import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.common.Nullable; +import org.opensearch.common.annotation.ExperimentalApi; import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; @@ -31,8 +32,9 @@ /** * Transport service for streaming requests, handling StreamTransportResponse. - * @opensearch.internal + * @opensearch.experimental */ +@ExperimentalApi public class StreamTransportService extends TransportService { private static final Logger logger = LogManager.getLogger(StreamTransportService.class); public static final Setting STREAM_TRANSPORT_REQ_TIMEOUT_SETTING = Setting.timeSetting( @@ -134,4 +136,14 @@ public Transport.Connection getConnection(DiscoveryNode node) { private void setStreamTransportReqTimeout(TimeValue streamTransportReqTimeout) { this.streamTransportReqTimeout = streamTransportReqTimeout; } + + /** + * The configured streaming request timeout ({@code transport.stream.request_timeout}). Callers + * that build their own {@link TransportRequestOptions} (rather than using the + * {@link #sendChildRequest} overload that injects it) should apply this so streaming requests + * honor the same timeout the service applies by default. + */ + public TimeValue getStreamTransportReqTimeout() { + return streamTransportReqTimeout; + } } diff --git a/server/src/main/java/org/opensearch/transport/TaskTransportChannel.java b/server/src/main/java/org/opensearch/transport/TaskTransportChannel.java index c93c121833dde..de088d884f485 100644 --- a/server/src/main/java/org/opensearch/transport/TaskTransportChannel.java +++ b/server/src/main/java/org/opensearch/transport/TaskTransportChannel.java @@ -78,6 +78,16 @@ public void sendResponseBatch(TransportResponse response) { channel.sendResponseBatch(response); } + @Override + public void sendResponseBatch(TransportResponse response, boolean sync) { + channel.sendResponseBatch(response, sync); + } + + @Override + public boolean isCancelled() { + return channel.isCancelled(); + } + @Override public void completeStream() { try { diff --git a/server/src/main/java/org/opensearch/transport/TransportChannel.java b/server/src/main/java/org/opensearch/transport/TransportChannel.java index bca653ba12f3c..e22196163cbeb 100644 --- a/server/src/main/java/org/opensearch/transport/TransportChannel.java +++ b/server/src/main/java/org/opensearch/transport/TransportChannel.java @@ -74,6 +74,28 @@ default void sendResponseBatch(TransportResponse response) { throw new UnsupportedOperationException(); } + /** + * Sends a batch of responses, optionally blocking the caller until the batch has been handed off to + * the transport. Defaults to the asynchronous behaviour of {@link #sendResponseBatch(TransportResponse)} + * when {@code sync == false}. + * + *

        With {@code sync == true} the caller blocks until the batch has been written to the transport's + * outbound buffer, so it cannot queue the next batch ahead of this one — a bound on outstanding + * batches (useful when the batch holds large buffers that must not accumulate). This does not wait + * for the bytes to leave the machine; if the outbound buffer is full the transport's own readiness + * back-pressure gates the send. The send itself still runs on the channel's send executor; only the + * caller is made to wait. A caller that requests this MUST drive a single stream from a single thread + * and MUST NOT call from the channel's send-executor thread. + * + * @param response the batch of responses to send + * @param sync {@code true} to block the caller until the batch is handed to the transport; {@code false} for async dispatch + * @throws StreamException with {@link StreamErrorCode#CANCELLED} if the stream has been canceled. + */ + @ExperimentalApi + default void sendResponseBatch(TransportResponse response, boolean sync) { + sendResponseBatch(response); + } + /** * Call this method on a successful completion the streaming response. * Note: not calling this method on success will result in a memory leak @@ -83,6 +105,18 @@ default void completeStream() { throw new UnsupportedOperationException(); } + /** + * Whether the stream has been cancelled (by the consumer, or due to a transport error) without + * waiting for the next {@link #sendResponseBatch(TransportResponse)} to throw. A long-lived sender + * that parks between sends can poll this to exit promptly when the consumer goes away, instead of + * leaking until its next send throws or a keepalive timeout fires. Default {@code false} for + * channels without a cancellation signal. + */ + @ExperimentalApi + default boolean isCancelled() { + return false; + } + void sendResponse(TransportResponse response) throws IOException; void sendResponse(Exception exception) throws IOException; diff --git a/server/src/main/java/org/opensearch/transport/stream/StreamingTransportChannel.java b/server/src/main/java/org/opensearch/transport/stream/StreamingTransportChannel.java index 5656cf48756ca..de99d280432e7 100644 --- a/server/src/main/java/org/opensearch/transport/stream/StreamingTransportChannel.java +++ b/server/src/main/java/org/opensearch/transport/stream/StreamingTransportChannel.java @@ -27,8 +27,6 @@ @ExperimentalApi public interface StreamingTransportChannel extends TransportChannel { - // TODO: introduce a way to poll for cancellation in addition to current way of detection i.e. depending on channel - // throwing StreamException with CANCELLED error code. /** * Sends a batch of responses to the request that this channel is associated with. * Call {@link #completeStream()} on a successful completion. diff --git a/server/src/test/java/org/opensearch/transport/RemoteClusterAwareClientTests.java b/server/src/test/java/org/opensearch/transport/RemoteClusterAwareClientTests.java index 7595982837365..0f259ddaaf55d 100644 --- a/server/src/test/java/org/opensearch/transport/RemoteClusterAwareClientTests.java +++ b/server/src/test/java/org/opensearch/transport/RemoteClusterAwareClientTests.java @@ -39,13 +39,17 @@ import org.opensearch.action.search.SearchRequest; import org.opensearch.cluster.node.DiscoveryNode; import org.opensearch.common.settings.Settings; +import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.concurrent.ThreadContext; import org.opensearch.core.action.ActionListener; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.transport.TransportResponse; import org.opensearch.telemetry.tracing.noop.NoopTracer; import org.opensearch.test.OpenSearchTestCase; import org.opensearch.test.transport.MockTransportService; import org.opensearch.threadpool.TestThreadPool; import org.opensearch.threadpool.ThreadPool; +import org.opensearch.transport.stream.StreamTransportResponse; import java.util.Arrays; import java.util.Collections; @@ -57,6 +61,13 @@ import java.util.concurrent.TimeUnit; import java.util.concurrent.atomic.AtomicReference; +import static org.mockito.ArgumentMatchers.any; +import static org.mockito.ArgumentMatchers.eq; +import static org.mockito.Mockito.doAnswer; +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; + public class RemoteClusterAwareClientTests extends OpenSearchTestCase { private final ThreadPool threadPool = new TestThreadPool(getClass().getName()); @@ -118,6 +129,145 @@ public void testSearchShards() throws Exception { } } + public void testSendStreamRequestThrowsWhenStreamTransportDisabled() throws Exception { + // The streaming send path must NOT fall back to the regular transport when the stream transport + // is unavailable — enabling streaming is a deliberate opt-in, so a missing stream transport is a + // misconfiguration that surfaces as an error (routed to the handler), not a silent pull. + List knownNodes = new CopyOnWriteArrayList<>(); + try (MockTransportService seedTransport = startTransport("seed_node", knownNodes)) { + knownNodes.add(seedTransport.getLocalDiscoNode()); + Settings.Builder builder = Settings.builder(); + builder.putList("cluster.remote.cluster1.seeds", seedTransport.getLocalDiscoNode().getAddress().toString()); + try ( + MockTransportService service = MockTransportService.createNewService( + builder.build(), + Version.CURRENT, + threadPool, + NoopTracer.INSTANCE + ) + ) { + service.start(); + service.acceptIncomingRequests(); + + // 4-arg constructor => streamTransportService is null (stream transport not enabled). + try (RemoteClusterAwareClient client = new RemoteClusterAwareClient(Settings.EMPTY, threadPool, service, "cluster1")) { + IllegalStateException e = expectThrows( + IllegalStateException.class, + () -> client.sendStreamRequest( + "internal:test/stream", + new SearchRequest("test-index"), + seedTransport.getLocalDiscoNode(), + noopStreamHandler() + ) + ); + assertTrue( + "message should explain the stream transport is not enabled, was: " + e.getMessage(), + e.getMessage().contains("stream transport is not enabled") + ); + } + } + } + } + + public void testSendStreamRequestConnectsToTargetNodeOnStreamTransport() throws Exception { + // sendStreamRequest routes through the stream transport: after ensureConnected on the remote + // cluster it connects the resolved target node on the StreamTransportService before sending. Here + // that connect fails, so we can assert (a) it targeted the requested node and (b) the failure is + // wrapped as a ConnectTransportException delivered to the handler (wrapAsTransportException). + List knownNodes = new CopyOnWriteArrayList<>(); + try (MockTransportService seedTransport = startTransport("seed_node", knownNodes)) { + DiscoveryNode seedNode = seedTransport.getLocalDiscoNode(); + knownNodes.add(seedNode); + Settings.Builder builder = Settings.builder(); + builder.putList("cluster.remote.cluster1.seeds", seedNode.getAddress().toString()); + try ( + MockTransportService service = MockTransportService.createNewService( + builder.build(), + Version.CURRENT, + threadPool, + NoopTracer.INSTANCE + ) + ) { + service.start(); + service.acceptIncomingRequests(); + + StreamTransportService streamTransportService = mock(StreamTransportService.class); + when(streamTransportService.getStreamTransportReqTimeout()).thenReturn(TimeValue.timeValueSeconds(30)); + // connectToNode (non-final, stream-transport-specific) fails synchronously. + doAnswer(inv -> { + ActionListener l = inv.getArgument(2); + l.onFailure(new RuntimeException("no stream route")); + return null; + }).when(streamTransportService).connectToNode(any(DiscoveryNode.class), any(), any()); + + CountDownLatch failed = new CountDownLatch(1); + AtomicReference handlerError = new AtomicReference<>(); + try ( + RemoteClusterAwareClient client = new RemoteClusterAwareClient( + Settings.EMPTY, + threadPool, + service, + "cluster1", + streamTransportService + ) + ) { + client.sendStreamRequest( + "internal:test/stream", + new SearchRequest("test-index"), + seedNode, + new StreamTransportResponseHandler<>() { + @Override + public void handleStreamResponse(StreamTransportResponse s) {} + + @Override + public void handleException(TransportException exp) { + handlerError.set(exp); + failed.countDown(); + } + + @Override + public String executor() { + return ThreadPool.Names.SAME; + } + + @Override + public TransportResponse read(StreamInput in) { + return null; + } + } + ); + + assertTrue("handler must be notified of the connect failure", failed.await(5, TimeUnit.SECONDS)); + verify(streamTransportService).connectToNode(eq(seedNode), any(), any()); + assertTrue( + "connect failure must be wrapped as ConnectTransportException, was: " + handlerError.get(), + handlerError.get() instanceof ConnectTransportException + ); + } + } + } + } + + private static StreamTransportResponseHandler noopStreamHandler() { + return new StreamTransportResponseHandler<>() { + @Override + public void handleStreamResponse(StreamTransportResponse s) {} + + @Override + public void handleException(TransportException exp) {} + + @Override + public String executor() { + return ThreadPool.Names.SAME; + } + + @Override + public TransportResponse read(StreamInput in) { + return null; + } + }; + } + public void testSearchShardsThreadContextHeader() { List knownNodes = new CopyOnWriteArrayList<>(); try ( diff --git a/server/src/test/java/org/opensearch/transport/TaskTransportChannelTests.java b/server/src/test/java/org/opensearch/transport/TaskTransportChannelTests.java new file mode 100644 index 0000000000000..a5656dde17228 --- /dev/null +++ b/server/src/test/java/org/opensearch/transport/TaskTransportChannelTests.java @@ -0,0 +1,53 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.transport; + +import org.opensearch.core.transport.TransportResponse; +import org.opensearch.test.OpenSearchTestCase; + +import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; + +/** + * TaskTransportChannel wraps the real channel for task tracking, so it must forward the streaming + * methods to the delegate — otherwise a task-tracked streaming action (the normal registration path) + * can't reach them. In particular the {@code sendResponseBatch(response, sync)} and {@code isCancelled()} + * calls must land on the wrapped channel, not on the base default (which no-ops / throws). + */ +public class TaskTransportChannelTests extends OpenSearchTestCase { + + private TransportChannel delegate; + private TaskTransportChannel channel; + + @Override + public void setUp() throws Exception { + super.setUp(); + delegate = mock(TransportChannel.class); + channel = new TaskTransportChannel(delegate, () -> {}); + } + + public void testSyncSendResponseBatchIsForwarded() { + TransportResponse response = mock(TransportResponse.class); + channel.sendResponseBatch(response, true); + verify(delegate).sendResponseBatch(response, true); + } + + public void testAsyncSendResponseBatchIsForwarded() { + TransportResponse response = mock(TransportResponse.class); + channel.sendResponseBatch(response); + verify(delegate).sendResponseBatch(response); + } + + public void testIsCancelledIsForwarded() { + when(delegate.isCancelled()).thenReturn(true); + assertTrue(channel.isCancelled()); + verify(delegate).isCancelled(); + } +} From dde8af835bba524ce6e91b2140eea829494053ff Mon Sep 17 00:00:00 2001 From: Lamine <104593675+laminelam@users.noreply.github.com> Date: Thu, 2 Jul 2026 15:29:00 -0500 Subject: [PATCH 83/94] Feature/node delay cluster settings (#22379) * Add cluster level default for delayed allocation timeout Signed-off-by: Lamine Idjeraoui * mark "deprecated" the old getRemainingDelay method Signed-off-by: Lamine Idjeraoui --------- Signed-off-by: Lamine Idjeraoui Co-authored-by: Lamine Idjeraoui --- ...ansportClusterAllocationExplainAction.java | 3 +- .../routing/DelayedAllocationService.java | 13 +- .../cluster/routing/UnassignedInfo.java | 62 +++++- .../routing/allocation/AllocationService.java | 25 ++- .../routing/allocation/RoutingAllocation.java | 31 +++ .../common/settings/ClusterSettings.java | 2 + .../gateway/ReplicaShardAllocator.java | 11 +- .../DelayedAllocationServiceTests.java | 89 +++++++- .../cluster/routing/UnassignedInfoTests.java | 206 +++++++++++++++++- .../gateway/ReplicaShardAllocatorTests.java | 48 +++- .../cluster/OpenSearchAllocationTestCase.java | 32 ++- 11 files changed, 483 insertions(+), 39 deletions(-) diff --git a/server/src/main/java/org/opensearch/action/admin/cluster/allocation/TransportClusterAllocationExplainAction.java b/server/src/main/java/org/opensearch/action/admin/cluster/allocation/TransportClusterAllocationExplainAction.java index 75644c85c4372..de5a90ce76474 100644 --- a/server/src/main/java/org/opensearch/action/admin/cluster/allocation/TransportClusterAllocationExplainAction.java +++ b/server/src/main/java/org/opensearch/action/admin/cluster/allocation/TransportClusterAllocationExplainAction.java @@ -134,7 +134,8 @@ protected void clusterManagerOperation( state, clusterInfo, snapshotsInfoService.snapshotShardSizes(), - System.nanoTime() + System.nanoTime(), + clusterService.getSettings() ); ShardRouting shardRouting = findShardToExplain(request, allocation); diff --git a/server/src/main/java/org/opensearch/cluster/routing/DelayedAllocationService.java b/server/src/main/java/org/opensearch/cluster/routing/DelayedAllocationService.java index 43368218e900c..73150a3da905f 100644 --- a/server/src/main/java/org/opensearch/cluster/routing/DelayedAllocationService.java +++ b/server/src/main/java/org/opensearch/cluster/routing/DelayedAllocationService.java @@ -44,6 +44,7 @@ import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.inject.Inject; import org.opensearch.common.lifecycle.AbstractLifecycleComponent; +import org.opensearch.common.settings.Settings; import org.opensearch.common.unit.TimeValue; import org.opensearch.common.util.concurrent.AbstractRunnable; import org.opensearch.threadpool.Scheduler; @@ -57,7 +58,7 @@ * if there are unassigned shards with delayed allocation (unassigned shards that have * the delay marker). These are shards that have become unassigned due to a node leaving * and which were assigned the delay marker based on the index delay setting - * {@link UnassignedInfo#INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING} + * {@link UnassignedInfo#INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING} or the cluster-level delayed node-left timeout * (see {@link AllocationService#disassociateDeadNodes(RoutingAllocation)}. * This class is responsible for choosing the next (closest) delay expiration of a * delayed shard to schedule a reroute to remove the delay marker. @@ -75,6 +76,7 @@ public class DelayedAllocationService extends AbstractLifecycleComponent impleme final ThreadPool threadPool; private final ClusterService clusterService; private final AllocationService allocationService; + private final Settings settings; AtomicReference delayedRerouteTask = new AtomicReference<>(); // package private to access from tests @@ -150,7 +152,8 @@ public DelayedAllocationService(ThreadPool threadPool, ClusterService clusterSer this.threadPool = threadPool; this.clusterService = clusterService; this.allocationService = allocationService; - if (DiscoveryNode.isClusterManagerNode(clusterService.getSettings())) { + this.settings = clusterService.getSettings(); + if (DiscoveryNode.isClusterManagerNode(settings)) { clusterService.addListener(this); } } @@ -197,7 +200,7 @@ private void removeIfSameTask(DelayedRerouteTask expectedTask) { */ private synchronized void scheduleIfNeeded(long currentNanoTime, ClusterState state) { assertClusterOrClusterManagerStateThread(); - long nextDelayNanos = UnassignedInfo.findNextDelayedAllocation(currentNanoTime, state); + long nextDelayNanos = UnassignedInfo.findNextDelayedAllocation(currentNanoTime, state, clusterSettings(state)); if (nextDelayNanos < 0) { logger.trace("no need to schedule reroute - no delayed unassigned shards"); removeTaskAndCancel(); @@ -235,6 +238,10 @@ private synchronized void scheduleIfNeeded(long currentNanoTime, ClusterState st } } + private Settings clusterSettings(ClusterState state) { + return Settings.builder().put(settings).put(state.metadata().settings()).build(); + } + // protected so that it can be overridden (and disabled) by unit tests protected void assertClusterOrClusterManagerStateThread() { assert ClusterService.assertClusterOrClusterManagerStateThread(); diff --git a/server/src/main/java/org/opensearch/cluster/routing/UnassignedInfo.java b/server/src/main/java/org/opensearch/cluster/routing/UnassignedInfo.java index 7bbf76e533d82..47a8d9d28bb6e 100644 --- a/server/src/main/java/org/opensearch/cluster/routing/UnassignedInfo.java +++ b/server/src/main/java/org/opensearch/cluster/routing/UnassignedInfo.java @@ -70,9 +70,18 @@ public final class UnassignedInfo implements ToXContentFragment, Writeable { public static final DateFormatter DATE_TIME_FORMATTER = DateFormatter.forPattern("date_optional_time").withZone(ZoneOffset.UTC); + public static final TimeValue DEFAULT_DELAYED_NODE_LEFT_TIMEOUT = TimeValue.timeValueMinutes(1); + + public static final Setting CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING = Setting.positiveTimeSetting( + "cluster.routing.allocation.unassigned.node_left.delayed_timeout", + DEFAULT_DELAYED_NODE_LEFT_TIMEOUT, + Property.Dynamic, + Property.NodeScope + ); + public static final Setting INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING = Setting.positiveTimeSetting( "index.unassigned.node_left.delayed_timeout", - TimeValue.timeValueMinutes(1), + DEFAULT_DELAYED_NODE_LEFT_TIMEOUT, Property.Dynamic, Property.IndexScope ); @@ -245,7 +254,7 @@ public String value() { private final Reason reason; private final long unassignedTimeMillis; // used for display and log messages, in milliseconds private final long unassignedTimeNanos; // in nanoseconds, used to calculate delay for delayed shard allocation - private final boolean delayed; // if allocation of this shard is delayed due to INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING + private final boolean delayed; // if allocation of this shard is delayed due to delayed node-left timeout settings private final String message; private final Exception failure; private final int failedAllocations; @@ -278,7 +287,7 @@ public UnassignedInfo(Reason reason, String message) { * @param failure the shard level failure that caused this shard to be unassigned, if exists. * @param unassignedTimeNanos the time to use as the base for any delayed re-assignment calculation * @param unassignedTimeMillis the time of unassignment used to display to in our reporting. - * @param delayed if allocation of this shard is delayed due to INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING. + * @param delayed if allocation of this shard is delayed due to delayed node-left timeout settings. * @param lastAllocationStatus the result of the last allocation attempt for this shard * @param failedNodeIds a set of nodeIds that failed to complete allocations for this shard */ @@ -344,7 +353,7 @@ public int getNumFailedAllocations() { } /** - * Returns true if allocation of this shard is delayed due to {@link #INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING} + * Returns true if allocation of this shard is delayed due to delayed node-left timeout settings. */ public boolean isDelayed() { return delayed; @@ -422,14 +431,40 @@ public Set getFailedNodeIds() { } /** - * Calculates the delay left based on current time (in nanoseconds) and the delay defined by the index settings. + * Returns the node-left delayed allocation timeout from the index settings if explicitly configured, + * otherwise returns the cluster-level delayed allocation timeout. + */ + public static TimeValue getNodeLeftDelayedTimeout(final Settings indexSettings, final Settings clusterSettings) { + if (INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.exists(indexSettings)) { + return INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(indexSettings); + } + return CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(clusterSettings); + } + + /** + * Calculates the delay left based on current time (in nanoseconds) and the delay defined by the index settings, + * or the built-in cluster default if the index setting is not set. * Only relevant if shard is effectively delayed (see {@link #isDelayed()}) * Returns 0 if delay is negative * * @return calculated delay in nanoseconds + * @deprecated use {@link #getRemainingDelay(long, Settings, Settings)} with effective cluster settings. */ + @Deprecated public long getRemainingDelay(final long nanoTimeNow, final Settings indexSettings) { - long delayTimeoutNanos = INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(indexSettings).nanos(); + return getRemainingDelay(nanoTimeNow, indexSettings, Settings.EMPTY); + } + + /** + * Calculates the delay left based on current time (in nanoseconds) and the effective delay defined by + * the index settings or the cluster-level default. + * Only relevant if shard is effectively delayed (see {@link #isDelayed()}) + * Returns 0 if delay is negative + * + * @return calculated delay in nanoseconds + */ + public long getRemainingDelay(final long nanoTimeNow, final Settings indexSettings, final Settings clusterSettings) { + long delayTimeoutNanos = getNodeLeftDelayedTimeout(indexSettings, clusterSettings).nanos(); assert nanoTimeNow >= unassignedTimeNanos; return Math.max(0L, delayTimeoutNanos - (nanoTimeNow - unassignedTimeNanos)); } @@ -446,8 +481,21 @@ public static int getNumberOfDelayedUnassigned(ClusterState state) { * Finds the next (closest) delay expiration of an delayed shard in nanoseconds based on current time. * Returns 0 if delay is negative. * Returns -1 if no delayed shard is found. + * + * @deprecated use {@link #findNextDelayedAllocation(long, ClusterState, Settings)} with effective cluster settings. */ + @Deprecated public static long findNextDelayedAllocation(long currentNanoTime, ClusterState state) { + return findNextDelayedAllocation(currentNanoTime, state, state.metadata().settings()); + } + + /** + * Finds the next (closest) delay expiration of a delayed shard in nanoseconds based on current time + * and the supplied effective cluster settings. + * Returns 0 if delay is negative. + * Returns -1 if no delayed shard is found. + */ + public static long findNextDelayedAllocation(long currentNanoTime, ClusterState state, Settings clusterSettings) { Metadata metadata = state.metadata(); RoutingTable routingTable = state.routingTable(); long nextDelayNanos = Long.MAX_VALUE; @@ -456,7 +504,7 @@ public static long findNextDelayedAllocation(long currentNanoTime, ClusterState if (unassignedInfo.isDelayed()) { Settings indexSettings = metadata.index(shard.index()).getSettings(); // calculate next time to schedule - final long newComputedLeftDelayNanos = unassignedInfo.getRemainingDelay(currentNanoTime, indexSettings); + final long newComputedLeftDelayNanos = unassignedInfo.getRemainingDelay(currentNanoTime, indexSettings, clusterSettings); if (newComputedLeftDelayNanos < nextDelayNanos) { nextDelayNanos = newComputedLeftDelayNanos; } diff --git a/server/src/main/java/org/opensearch/cluster/routing/allocation/AllocationService.java b/server/src/main/java/org/opensearch/cluster/routing/allocation/AllocationService.java index efe51e36ec748..c1821d72e7a6e 100644 --- a/server/src/main/java/org/opensearch/cluster/routing/allocation/AllocationService.java +++ b/server/src/main/java/org/opensearch/cluster/routing/allocation/AllocationService.java @@ -81,7 +81,6 @@ import static java.util.Collections.emptyList; import static java.util.Collections.singletonList; -import static org.opensearch.cluster.routing.UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING; import static org.opensearch.cluster.routing.allocation.ExistingShardsAllocator.EXISTING_SHARDS_ALLOCATOR_BATCH_MODE; /** @@ -177,7 +176,8 @@ public ClusterState applyStartedShards(ClusterState clusterState, List(startedShards); @@ -266,7 +266,8 @@ public ClusterState applyFailedShards( tmpState, clusterInfoService.getClusterInfo(), snapshotsInfoService.snapshotShardSizes(), - currentNanoTime + currentNanoTime, + settings ); for (FailedShard failedShardEntry : failedShards) { @@ -341,7 +342,8 @@ public ClusterState disassociateDeadNodes(ClusterState clusterState, boolean rer clusterState, clusterInfoService.getClusterInfo(), snapshotsInfoService.snapshotShardSizes(), - currentNanoTime() + currentNanoTime(), + settings ); // first, clear from the shards any node id they used to belong to that is now dead @@ -368,7 +370,8 @@ public ClusterState adaptAutoExpandReplicas(ClusterState clusterState) { clusterState, clusterInfoService.getClusterInfo(), snapshotsInfoService.snapshotShardSizes(), - currentNanoTime() + currentNanoTime(), + settings ); final Map> autoExpandReplicaChanges = AutoExpandReplicas.getAutoExpandReplicaChanges( clusterState.metadata(), @@ -440,7 +443,8 @@ private void removeDelayMarkers(RoutingAllocation allocation) { if (unassignedInfo.isDelayed()) { final long newComputedLeftDelayNanos = unassignedInfo.getRemainingDelay( allocation.getCurrentNanoTime(), - metadata.getIndexSafe(shardRouting.index()).getSettings() + metadata.getIndexSafe(shardRouting.index()).getSettings(), + allocation.clusterSettings() ); if (newComputedLeftDelayNanos == 0) { unassignedIterator.updateUnassigned( @@ -524,7 +528,8 @@ public CommandsResult reroute(final ClusterState clusterState, AllocationCommand clusterState, clusterInfoService.getClusterInfo(), snapshotsInfoService.snapshotShardSizes(), - currentNanoTime() + currentNanoTime(), + settings ); // don't short circuit deciders, we want a full explanation allocation.debugDecision(true); @@ -561,7 +566,8 @@ public ClusterState reroute(ClusterState clusterState, String reason) { fixedClusterState, clusterInfoService.getClusterInfo(), snapshotsInfoService.snapshotShardSizes(), - currentNanoTime() + currentNanoTime(), + settings ); reroute(allocation); if (fixedClusterState == clusterState && allocation.routingNodesChanged() == false) { @@ -666,7 +672,8 @@ private void disassociateDeadNodes(RoutingAllocation allocation) { // now, go over all the shards routing on the node, and fail them for (ShardRouting shardRouting : node.copyShards()) { final IndexMetadata indexMetadata = allocation.metadata().getIndexSafe(shardRouting.index()); - boolean delayed = INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(indexMetadata.getSettings()).nanos() > 0; + boolean delayed = UnassignedInfo.getNodeLeftDelayedTimeout(indexMetadata.getSettings(), allocation.clusterSettings()) + .nanos() > 0; UnassignedInfo unassignedInfo = new UnassignedInfo( UnassignedInfo.Reason.NODE_LEFT, "node_left [" + node.nodeId() + "]", diff --git a/server/src/main/java/org/opensearch/cluster/routing/allocation/RoutingAllocation.java b/server/src/main/java/org/opensearch/cluster/routing/allocation/RoutingAllocation.java index fd789774f6f4f..cf0384a8443fc 100644 --- a/server/src/main/java/org/opensearch/cluster/routing/allocation/RoutingAllocation.java +++ b/server/src/main/java/org/opensearch/cluster/routing/allocation/RoutingAllocation.java @@ -44,6 +44,7 @@ import org.opensearch.cluster.routing.allocation.decider.AllocationDeciders; import org.opensearch.cluster.routing.allocation.decider.Decision; import org.opensearch.common.annotation.PublicApi; +import org.opensearch.common.settings.Settings; import org.opensearch.core.index.shard.ShardId; import org.opensearch.snapshots.RestoreService.RestoreInProgressUpdater; import org.opensearch.snapshots.SnapshotShardSizeInfo; @@ -73,6 +74,8 @@ public class RoutingAllocation { private final Metadata metadata; + private final Settings clusterSettings; + private final RoutingTable routingTable; private final DiscoveryNodes nodes; @@ -116,10 +119,31 @@ public RoutingAllocation( ClusterInfo clusterInfo, SnapshotShardSizeInfo shardSizeInfo, long currentNanoTime + ) { + this(deciders, routingNodes, clusterState, clusterInfo, shardSizeInfo, currentNanoTime, Settings.EMPTY); + } + + /** + * Creates a new {@link RoutingAllocation} + * @param deciders {@link AllocationDeciders} to used to make decisions for routing allocations + * @param routingNodes Routing nodes in the current cluster + * @param clusterState cluster state before rerouting + * @param currentNanoTime the nano time to use for all delay allocation calculation (typically {@link System#nanoTime()}) + * @param nodeSettings node level settings to use as defaults for cluster scoped settings + */ + public RoutingAllocation( + AllocationDeciders deciders, + RoutingNodes routingNodes, + ClusterState clusterState, + ClusterInfo clusterInfo, + SnapshotShardSizeInfo shardSizeInfo, + long currentNanoTime, + Settings nodeSettings ) { this.deciders = deciders; this.routingNodes = routingNodes; this.metadata = clusterState.metadata(); + this.clusterSettings = Settings.builder().put(nodeSettings).put(metadata.settings()).build(); this.routingTable = clusterState.routingTable(); this.nodes = clusterState.nodes(); this.customs = clusterState.customs(); @@ -168,6 +192,13 @@ public Metadata metadata() { return metadata; } + /** + * Returns cluster scoped settings, including node-level defaults overridden by dynamic cluster-state settings. + */ + public Settings clusterSettings() { + return clusterSettings; + } + /** * Get discovery nodes in current routing * @return discovery nodes diff --git a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java index 2341971e388a3..398eb23e34b9f 100644 --- a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java +++ b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java @@ -63,6 +63,7 @@ import org.opensearch.cluster.metadata.IndexGraveyard; import org.opensearch.cluster.metadata.Metadata; import org.opensearch.cluster.routing.OperationRouting; +import org.opensearch.cluster.routing.UnassignedInfo; import org.opensearch.cluster.routing.allocation.AwarenessReplicaBalance; import org.opensearch.cluster.routing.allocation.DiskThresholdSettings; import org.opensearch.cluster.routing.allocation.ExistingShardsAllocator; @@ -300,6 +301,7 @@ public void apply(Settings value, Settings current, Settings previous) { DanglingIndicesState.AUTO_IMPORT_DANGLING_INDICES_SETTING, EnableAllocationDecider.CLUSTER_ROUTING_ALLOCATION_ENABLE_SETTING, EnableAllocationDecider.CLUSTER_ROUTING_REBALANCE_ENABLE_SETTING, + UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING, ExistingShardsAllocator.EXISTING_SHARDS_ALLOCATOR_BATCH_MODE, FilterAllocationDecider.CLUSTER_ROUTING_INCLUDE_GROUP_SETTING, FilterAllocationDecider.CLUSTER_ROUTING_EXCLUDE_GROUP_SETTING, diff --git a/server/src/main/java/org/opensearch/gateway/ReplicaShardAllocator.java b/server/src/main/java/org/opensearch/gateway/ReplicaShardAllocator.java index 2844a378df571..34cff42a9a489 100644 --- a/server/src/main/java/org/opensearch/gateway/ReplicaShardAllocator.java +++ b/server/src/main/java/org/opensearch/gateway/ReplicaShardAllocator.java @@ -64,8 +64,6 @@ import java.util.Set; import java.util.stream.Collectors; -import static org.opensearch.cluster.routing.UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING; - /** * Allocates replica shards * @@ -338,8 +336,13 @@ protected AllocateUnassignedDecision getAllocationDecision( UnassignedInfo unassignedInfo = unassignedShard.unassignedInfo(); Metadata metadata = allocation.metadata(); IndexMetadata indexMetadata = metadata.index(unassignedShard.index()); - totalDelayMillis = INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(indexMetadata.getSettings()).getMillis(); - long remainingDelayNanos = unassignedInfo.getRemainingDelay(System.nanoTime(), indexMetadata.getSettings()); + totalDelayMillis = UnassignedInfo.getNodeLeftDelayedTimeout(indexMetadata.getSettings(), allocation.clusterSettings()) + .getMillis(); + long remainingDelayNanos = unassignedInfo.getRemainingDelay( + System.nanoTime(), + indexMetadata.getSettings(), + allocation.clusterSettings() + ); remainingDelayMillis = TimeValue.timeValueNanos(remainingDelayNanos).millis(); } return AllocateUnassignedDecision.delayed(remainingDelayMillis, totalDelayMillis, nodeDecisions); diff --git a/server/src/test/java/org/opensearch/cluster/routing/DelayedAllocationServiceTests.java b/server/src/test/java/org/opensearch/cluster/routing/DelayedAllocationServiceTests.java index 6611554004639..0f5be5798c3dc 100644 --- a/server/src/test/java/org/opensearch/cluster/routing/DelayedAllocationServiceTests.java +++ b/server/src/test/java/org/opensearch/cluster/routing/DelayedAllocationServiceTests.java @@ -233,6 +233,79 @@ public void testDelayedUnassignedScheduleReroute() throws Exception { verifyNoMoreInteractions(clusterService); } + public void testDelayedUnassignedScheduleRerouteUsesNodeLevelClusterDefault() throws Exception { + TimeValue delaySetting = timeValueMillis(100); + Settings nodeSettings = Settings.builder() + .put(NodeRoles.clusterManagerOnlyNode()) + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), delaySetting) + .build(); + ClusterService localClusterService = mock(ClusterService.class); + MockAllocationService localAllocationService = createAllocationService(nodeSettings, new DelayedShardsMockGatewayAllocator()); + when(localClusterService.getSettings()).thenReturn(nodeSettings); + TestDelayAllocationService localDelayedAllocationService = new TestDelayAllocationService( + threadPool, + localClusterService, + localAllocationService + ); + verify(localClusterService).addListener(localDelayedAllocationService); + verify(localClusterService).getSettings(); + + Metadata metadata = Metadata.builder() + .put(IndexMetadata.builder("test").settings(settings(Version.CURRENT)).numberOfShards(1).numberOfReplicas(1)) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .routingTable(RoutingTable.builder().addAsNew(metadata.index("test")).build()) + .nodes(DiscoveryNodes.builder().add(newNode("node1")).add(newNode("node2")).localNodeId("node1").clusterManagerNodeId("node1")) + .build(); + final long baseTimestampNanos = System.nanoTime(); + localAllocationService.setNanoTimeOverride(baseTimestampNanos); + clusterState = localAllocationService.reroute(clusterState, "reroute"); + clusterState = startInitializingShardsAndReroute(localAllocationService, clusterState); + clusterState = startInitializingShardsAndReroute(localAllocationService, clusterState); + + String replicaNodeId = null; + for (ShardRouting shardRouting : clusterState.getRoutingTable().allShards("test")) { + if (shardRouting.primary() == false) { + replicaNodeId = shardRouting.currentNodeId(); + break; + } + } + assertNotNull(replicaNodeId); + + ClusterState beforeNodeLeft = clusterState; + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove(replicaNodeId)).build(); + clusterState = localAllocationService.disassociateDeadNodes(clusterState, true, "reroute"); + ClusterState stateWithDelayedShard = clusterState; + // isDelayed alone cannot distinguish the node-level 100ms setting from the built-in 1m default. + // The scheduled nextDelay assertion below is the regression check for the node-level setting path. + assertEquals(1, UnassignedInfo.getNumberOfDelayedUnassigned(stateWithDelayedShard)); + + CountDownLatch latch = new CountDownLatch(1); + AtomicReference clusterStateUpdateTask = new AtomicReference<>(); + doAnswer(invocationOnMock -> { + clusterStateUpdateTask.set((ClusterStateUpdateTask) invocationOnMock.getArguments()[1]); + latch.countDown(); + return null; + }).when(localClusterService).submitStateUpdateTask(eq(CLUSTER_UPDATE_TASK_SOURCE), any(ClusterStateUpdateTask.class)); + + long delayUntilClusterChangeEvent = TimeValue.timeValueNanos(randomInt((int) delaySetting.nanos() - 1)).nanos(); + long clusterChangeEventTimestampNanos = baseTimestampNanos + delayUntilClusterChangeEvent; + localDelayedAllocationService.setNanoTimeOverride(clusterChangeEventTimestampNanos); + localDelayedAllocationService.clusterChanged(new ClusterChangedEvent("fake node left", stateWithDelayedShard, beforeNodeLeft)); + + DelayedAllocationService.DelayedRerouteTask delayedRerouteTask = localDelayedAllocationService.delayedRerouteTask.get(); + assertNotNull(delayedRerouteTask); + assertFalse(delayedRerouteTask.cancelScheduling.get()); + assertThat(delayedRerouteTask.baseTimestampNanos, equalTo(clusterChangeEventTimestampNanos)); + assertThat( + delayedRerouteTask.nextDelay.nanos(), + equalTo(delaySetting.nanos() - (clusterChangeEventTimestampNanos - baseTimestampNanos)) + ); + assertTrue(latch.await(30, TimeUnit.SECONDS)); + verify(localClusterService).submitStateUpdateTask(eq(CLUSTER_UPDATE_TASK_SOURCE), eq(clusterStateUpdateTask.get())); + } + /** * This tests that a new delayed reroute is scheduled right after a delayed reroute was run */ @@ -342,7 +415,13 @@ public void testDelayedUnassignedScheduleRerouteAfterDelayedReroute() throws Exc assertThat(firstDelayedRerouteTask.baseTimestampNanos, equalTo(clusterChangeEventTimestampNanos)); assertThat( firstDelayedRerouteTask.nextDelay.nanos(), - equalTo(UnassignedInfo.findNextDelayedAllocation(clusterChangeEventTimestampNanos, stateWithDelayedShards)) + equalTo( + UnassignedInfo.findNextDelayedAllocation( + clusterChangeEventTimestampNanos, + stateWithDelayedShards, + stateWithDelayedShards.metadata().settings() + ) + ) ); assertThat( firstDelayedRerouteTask.nextDelay.nanos(), @@ -386,7 +465,13 @@ public void testDelayedUnassignedScheduleRerouteAfterDelayedReroute() throws Exc assertThat(secondDelayedRerouteTask.baseTimestampNanos, equalTo(clusterChangeEventTimestampNanos)); assertThat( secondDelayedRerouteTask.nextDelay.nanos(), - equalTo(UnassignedInfo.findNextDelayedAllocation(clusterChangeEventTimestampNanos, stateWithOnlyOneDelayedShard)) + equalTo( + UnassignedInfo.findNextDelayedAllocation( + clusterChangeEventTimestampNanos, + stateWithOnlyOneDelayedShard, + stateWithOnlyOneDelayedShard.metadata().settings() + ) + ) ); assertThat( secondDelayedRerouteTask.nextDelay.nanos(), diff --git a/server/src/test/java/org/opensearch/cluster/routing/UnassignedInfoTests.java b/server/src/test/java/org/opensearch/cluster/routing/UnassignedInfoTests.java index cafc5eb5b5694..ed23fbd069837 100644 --- a/server/src/test/java/org/opensearch/cluster/routing/UnassignedInfoTests.java +++ b/server/src/test/java/org/opensearch/cluster/routing/UnassignedInfoTests.java @@ -421,17 +421,52 @@ public void testRemainingDelayCalculation() throws Exception { final Settings indexSettings = Settings.builder() .put(UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueNanos(totalDelayNanos)) .build(); - long delay = unassignedInfo.getRemainingDelay(baseTime, indexSettings); + long delay = unassignedInfo.getRemainingDelay(baseTime, indexSettings, Settings.EMPTY); assertThat(delay, equalTo(totalDelayNanos)); long delta1 = randomIntBetween(1, (int) (totalDelayNanos - 1)); - delay = unassignedInfo.getRemainingDelay(baseTime + delta1, indexSettings); + delay = unassignedInfo.getRemainingDelay(baseTime + delta1, indexSettings, Settings.EMPTY); assertThat(delay, equalTo(totalDelayNanos - delta1)); - delay = unassignedInfo.getRemainingDelay(baseTime + totalDelayNanos, indexSettings); + delay = unassignedInfo.getRemainingDelay(baseTime + totalDelayNanos, indexSettings, Settings.EMPTY); assertThat(delay, equalTo(0L)); - delay = unassignedInfo.getRemainingDelay(baseTime + totalDelayNanos + randomIntBetween(1, 20), indexSettings); + delay = unassignedInfo.getRemainingDelay(baseTime + totalDelayNanos + randomIntBetween(1, 20), indexSettings, Settings.EMPTY); assertThat(delay, equalTo(0L)); } + public void testRemainingDelayUsesClusterDefaultWhenIndexSettingIsMissing() { + final long baseTime = System.nanoTime(); + UnassignedInfo unassignedInfo = new UnassignedInfo( + UnassignedInfo.Reason.NODE_LEFT, + "test", + null, + 0, + baseTime, + System.currentTimeMillis(), + true, + AllocationStatus.NO_ATTEMPT, + Collections.emptySet() + ); + final TimeValue clusterDelay = TimeValue.timeValueMillis(randomIntBetween(1, 200)); + final Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), clusterDelay) + .build(); + + assertThat(UnassignedInfo.getNodeLeftDelayedTimeout(Settings.EMPTY, clusterSettings), equalTo(clusterDelay)); + assertThat(unassignedInfo.getRemainingDelay(baseTime, Settings.EMPTY, clusterSettings), equalTo(clusterDelay.nanos())); + } + + public void testIndexDelayedAllocationSettingOverridesClusterDefault() { + final TimeValue clusterDelay = TimeValue.timeValueMillis(randomIntBetween(201, 400)); + final TimeValue indexDelay = TimeValue.timeValueMillis(randomIntBetween(1, 200)); + final Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), clusterDelay) + .build(); + final Settings indexSettings = Settings.builder() + .put(UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), indexDelay) + .build(); + + assertThat(UnassignedInfo.getNodeLeftDelayedTimeout(indexSettings, clusterSettings), equalTo(indexDelay)); + } + public void testNumberOfDelayedUnassigned() throws Exception { MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); Metadata metadata = Metadata.builder() @@ -459,6 +494,85 @@ public void testNumberOfDelayedUnassigned() throws Exception { assertThat(clusterState.toString(), UnassignedInfo.getNumberOfDelayedUnassigned(clusterState), equalTo(2)); } + public void testClusterDelayedAllocationSettingControlsNodeLeftDelay() { + MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); + Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(0)) + .build(); + ClusterState clusterState = createStartedClusterState(allocation, clusterSettings, Settings.EMPTY); + + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(clusterState.getRoutingNodes().unassigned().size(), equalTo(1)); + assertThat(clusterState.getRoutingNodes().unassigned().iterator().next().unassignedInfo().isDelayed(), equalTo(false)); + } + + public void testNodeLevelClusterDelayedAllocationSettingControlsNodeLeftDelay() { + Settings nodeSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(0)) + .build(); + MockAllocationService allocation = createAllocationService(nodeSettings, new DelayedShardsMockGatewayAllocator()); + ClusterState clusterState = createStartedClusterState(allocation, Settings.EMPTY, Settings.EMPTY); + + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(clusterState.getRoutingNodes().unassigned().size(), equalTo(1)); + assertThat(clusterState.getRoutingNodes().unassigned().iterator().next().unassignedInfo().isDelayed(), equalTo(false)); + } + + public void testClusterStateSettingOverridesNodeLevelClusterSettingForNodeLeftDelay() { + Settings nodeSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(0)) + .build(); + Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(100)) + .build(); + MockAllocationService allocation = createAllocationService(nodeSettings, new DelayedShardsMockGatewayAllocator()); + ClusterState clusterState = createStartedClusterState(allocation, clusterSettings, Settings.EMPTY); + + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(clusterState.getRoutingNodes().unassigned().size(), equalTo(1)); + assertThat(clusterState.getRoutingNodes().unassigned().iterator().next().unassignedInfo().isDelayed(), equalTo(true)); + } + + public void testClusterStateSettingOverridesNodeLevelClusterSettingWithNoDelayForNodeLeftDelay() { + Settings nodeSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(100)) + .build(); + Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(0)) + .build(); + MockAllocationService allocation = createAllocationService(nodeSettings, new DelayedShardsMockGatewayAllocator()); + ClusterState clusterState = createStartedClusterState(allocation, clusterSettings, Settings.EMPTY); + + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(clusterState.getRoutingNodes().unassigned().size(), equalTo(1)); + assertThat(clusterState.getRoutingNodes().unassigned().iterator().next().unassignedInfo().isDelayed(), equalTo(false)); + } + + public void testIndexDelayedAllocationSettingOverridesClusterSettingForNodeLeftDelay() { + MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); + Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(0)) + .build(); + Settings indexSettings = Settings.builder() + .put(UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), TimeValue.timeValueMillis(100)) + .build(); + ClusterState clusterState = createStartedClusterState(allocation, clusterSettings, indexSettings); + + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(clusterState.getRoutingNodes().unassigned().size(), equalTo(1)); + assertThat(clusterState.getRoutingNodes().unassigned().iterator().next().unassignedInfo().isDelayed(), equalTo(true)); + } + public void testFindNextDelayedAllocation() { MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); final TimeValue delayTest1 = TimeValue.timeValueMillis(randomIntBetween(1, 200)); @@ -506,7 +620,72 @@ public void testFindNextDelayedAllocation() { clusterState = allocation.reroute(clusterState, "time moved"); } - assertThat(UnassignedInfo.findNextDelayedAllocation(baseTime + delta, clusterState), equalTo(expectMinDelaySettingsNanos - delta)); + assertThat( + UnassignedInfo.findNextDelayedAllocation(baseTime + delta, clusterState, clusterState.metadata().settings()), + equalTo(expectMinDelaySettingsNanos - delta) + ); + } + + public void testFindNextDelayedAllocationUsesClusterDefault() { + MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); + final TimeValue clusterDelay = TimeValue.timeValueMillis(randomIntBetween(1, 200)); + final Settings clusterSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), clusterDelay) + .build(); + + Metadata metadata = Metadata.builder() + .persistentSettings(clusterSettings) + .put(IndexMetadata.builder("test").settings(settings(Version.CURRENT)).numberOfShards(1).numberOfReplicas(1)) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .routingTable(RoutingTable.builder().addAsNew(metadata.index("test")).build()) + .build(); + clusterState = ClusterState.builder(clusterState) + .nodes(DiscoveryNodes.builder().add(newNode("node1")).add(newNode("node2"))) + .build(); + clusterState = allocation.reroute(clusterState, "reroute"); + clusterState = startInitializingShardsAndReroute(allocation, clusterState); + clusterState = startInitializingShardsAndReroute(allocation, clusterState); + + final long baseTime = System.nanoTime(); + allocation.setNanoTimeOverride(baseTime); + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat( + UnassignedInfo.findNextDelayedAllocation(baseTime, clusterState, clusterState.metadata().settings()), + equalTo(clusterDelay.nanos()) + ); + } + + public void testFindNextDelayedAllocationUsesNodeLevelClusterDefault() { + MockAllocationService allocation = createAllocationService(Settings.EMPTY, new DelayedShardsMockGatewayAllocator()); + final TimeValue nodeDelay = TimeValue.timeValueMillis(randomIntBetween(1, 200)); + final Settings nodeSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), nodeDelay) + .build(); + + Metadata metadata = Metadata.builder() + .put(IndexMetadata.builder("test").settings(settings(Version.CURRENT)).numberOfShards(1).numberOfReplicas(1)) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .routingTable(RoutingTable.builder().addAsNew(metadata.index("test")).build()) + .build(); + clusterState = ClusterState.builder(clusterState) + .nodes(DiscoveryNodes.builder().add(newNode("node1")).add(newNode("node2"))) + .build(); + clusterState = allocation.reroute(clusterState, "reroute"); + clusterState = startInitializingShardsAndReroute(allocation, clusterState); + clusterState = startInitializingShardsAndReroute(allocation, clusterState); + + final long baseTime = System.nanoTime(); + allocation.setNanoTimeOverride(baseTime); + clusterState = ClusterState.builder(clusterState).nodes(DiscoveryNodes.builder(clusterState.nodes()).remove("node2")).build(); + clusterState = allocation.disassociateDeadNodes(clusterState, true, "reroute"); + + assertThat(UnassignedInfo.findNextDelayedAllocation(baseTime, clusterState, nodeSettings), equalTo(nodeDelay.nanos())); } public void testAllocationStatusSerialization() throws IOException { @@ -518,4 +697,21 @@ public void testAllocationStatusSerialization() throws IOException { assertThat(readStatus, equalTo(allocationStatus)); } } + + private ClusterState createStartedClusterState(MockAllocationService allocation, Settings clusterSettings, Settings indexSettings) { + Metadata metadata = Metadata.builder() + .persistentSettings(clusterSettings) + .put(IndexMetadata.builder("test").settings(settings(Version.CURRENT).put(indexSettings)).numberOfShards(1).numberOfReplicas(1)) + .build(); + ClusterState clusterState = ClusterState.builder(ClusterName.CLUSTER_NAME_SETTING.getDefault(Settings.EMPTY)) + .metadata(metadata) + .routingTable(RoutingTable.builder().addAsNew(metadata.index("test")).build()) + .build(); + clusterState = ClusterState.builder(clusterState) + .nodes(DiscoveryNodes.builder().add(newNode("node1")).add(newNode("node2"))) + .build(); + clusterState = allocation.reroute(clusterState, "reroute"); + clusterState = startInitializingShardsAndReroute(allocation, clusterState); + return startInitializingShardsAndReroute(allocation, clusterState); + } } diff --git a/server/src/test/java/org/opensearch/gateway/ReplicaShardAllocatorTests.java b/server/src/test/java/org/opensearch/gateway/ReplicaShardAllocatorTests.java index ae56bc0f8b3d2..f1dc8fb3fd33e 100644 --- a/server/src/test/java/org/opensearch/gateway/ReplicaShardAllocatorTests.java +++ b/server/src/test/java/org/opensearch/gateway/ReplicaShardAllocatorTests.java @@ -52,6 +52,8 @@ import org.opensearch.cluster.routing.ShardRoutingState; import org.opensearch.cluster.routing.TestShardRouting; import org.opensearch.cluster.routing.UnassignedInfo; +import org.opensearch.cluster.routing.allocation.AllocateUnassignedDecision; +import org.opensearch.cluster.routing.allocation.AllocationDecision; import org.opensearch.cluster.routing.allocation.RoutingAllocation; import org.opensearch.cluster.routing.allocation.decider.AllocationDecider; import org.opensearch.cluster.routing.allocation.decider.AllocationDeciders; @@ -446,6 +448,30 @@ public void testDelayedAllocation() { ); } + public void testDelayedAllocationExplainUsesClusterDefault() { + TimeValue clusterDelay = TimeValue.timeValueHours(1); + Settings nodeSettings = Settings.builder() + .put(UnassignedInfo.CLUSTER_DELAYED_NODE_LEFT_TIMEOUT_SETTING.getKey(), clusterDelay) + .build(); + RoutingAllocation allocation = onePrimaryOnNode1And1Replica( + yesAllocationDeciders(), + Settings.EMPTY, + nodeSettings, + UnassignedInfo.Reason.NODE_LEFT + ); + allocation.debugDecision(true); + testAllocator.addData(node1, "MATCH", new StoreFileMetadata("file1", 10, "MATCH_CHECKSUM", MIN_SUPPORTED_LUCENE_VERSION)); + + ShardRouting unassignedShard = allocation.routingNodes().shardsWithState(ShardRoutingState.UNASSIGNED).get(0); + AllocateUnassignedDecision decision = testAllocator.makeAllocationDecision(unassignedShard, allocation, testAllocator.logger); + + assertThat(decision.getAllocationDecision(), equalTo(AllocationDecision.ALLOCATION_DELAYED)); + assertThat(decision.getAllocationStatus(), equalTo(UnassignedInfo.AllocationStatus.DELAYED_ALLOCATION)); + assertThat(decision.getConfiguredDelayInMillis(), equalTo(clusterDelay.millis())); + assertThat(decision.getRemainingDelayInMillis() > 0, equalTo(true)); + assertThat(decision.getRemainingDelayInMillis() <= clusterDelay.millis(), equalTo(true)); + } + public void testCancelRecoveryBetterSyncId() { RoutingAllocation allocation = onePrimaryOnNode1And1ReplicaRecovering(yesAllocationDeciders()); testAllocator.addData(node1, "MATCH", new StoreFileMetadata("file1", 10, "MATCH_CHECKSUM", MIN_SUPPORTED_LUCENE_VERSION)) @@ -548,17 +574,30 @@ private RoutingAllocation onePrimaryOnNode1And1Replica(AllocationDeciders decide return onePrimaryOnNode1And1Replica(deciders, Settings.EMPTY, UnassignedInfo.Reason.CLUSTER_RECOVERED); } - private RoutingAllocation onePrimaryOnNode1And1Replica(AllocationDeciders deciders, Settings settings, UnassignedInfo.Reason reason) { + private RoutingAllocation onePrimaryOnNode1And1Replica( + AllocationDeciders deciders, + Settings indexSettings, + UnassignedInfo.Reason reason + ) { + return onePrimaryOnNode1And1Replica(deciders, indexSettings, Settings.EMPTY, reason); + } + + private RoutingAllocation onePrimaryOnNode1And1Replica( + AllocationDeciders deciders, + Settings indexSettings, + Settings nodeSettings, + UnassignedInfo.Reason reason + ) { ShardRouting primaryShard = TestShardRouting.newShardRouting(shardId, node1.getId(), true, ShardRoutingState.STARTED); IndexMetadata.Builder indexMetadata = IndexMetadata.builder(shardId.getIndexName()) - .settings(settings(Version.CURRENT).put(settings)) + .settings(settings(Version.CURRENT).put(indexSettings)) .numberOfShards(1) .numberOfReplicas(1) .putInSyncAllocationIds(0, Sets.newHashSet(primaryShard.allocationId().getId())); Metadata metadata = Metadata.builder().put(indexMetadata).build(); // mark shard as delayed if reason is NODE_LEFT boolean delayed = reason == UnassignedInfo.Reason.NODE_LEFT - && UnassignedInfo.INDEX_DELAYED_NODE_LEFT_TIMEOUT_SETTING.get(settings).nanos() > 0; + && UnassignedInfo.getNodeLeftDelayedTimeout(indexSettings, nodeSettings).nanos() > 0; int failedAllocations = reason == UnassignedInfo.Reason.ALLOCATION_FAILED ? 1 : 0; RoutingTable routingTable = RoutingTable.builder() .add( @@ -598,7 +637,8 @@ private RoutingAllocation onePrimaryOnNode1And1Replica(AllocationDeciders decide state, ClusterInfo.EMPTY, SnapshotShardSizeInfo.EMPTY, - System.nanoTime() + System.nanoTime(), + nodeSettings ); } diff --git a/test/framework/src/main/java/org/opensearch/cluster/OpenSearchAllocationTestCase.java b/test/framework/src/main/java/org/opensearch/cluster/OpenSearchAllocationTestCase.java index e3bc374aa2db2..2ba4bf631dac2 100644 --- a/test/framework/src/main/java/org/opensearch/cluster/OpenSearchAllocationTestCase.java +++ b/test/framework/src/main/java/org/opensearch/cluster/OpenSearchAllocationTestCase.java @@ -55,6 +55,7 @@ import org.opensearch.gateway.GatewayAllocator; import org.opensearch.snapshots.SnapshotShardSizeInfo; import org.opensearch.snapshots.SnapshotsInfoService; +import org.opensearch.telemetry.metrics.noop.NoopMetricsRegistry; import org.opensearch.test.OpenSearchTestCase; import org.opensearch.test.gateway.TestGatewayAllocator; @@ -106,7 +107,8 @@ public static MockAllocationService createAllocationService(Settings settings, C new TestGatewayAllocator(), new BalancedShardsAllocator(settings), EmptyClusterInfoService.INSTANCE, - SNAPSHOT_INFO_SERVICE_WITH_NO_SHARD_SIZES + SNAPSHOT_INFO_SERVICE_WITH_NO_SHARD_SIZES, + settings ); } @@ -116,7 +118,8 @@ public static MockAllocationService createAllocationService(Settings settings, C new TestGatewayAllocator(), new BalancedShardsAllocator(settings), clusterInfoService, - SNAPSHOT_INFO_SERVICE_WITH_NO_SHARD_SIZES + SNAPSHOT_INFO_SERVICE_WITH_NO_SHARD_SIZES, + settings ); } @@ -138,7 +141,8 @@ public static MockAllocationService createAllocationService( gatewayAllocator, new BalancedShardsAllocator(settings), EmptyClusterInfoService.INSTANCE, - snapshotsInfoService + snapshotsInfoService, + settings ); } @@ -153,7 +157,8 @@ public static MockAllocationService createAllocationService( gatewayAllocator, new BalancedShardsAllocator(settings, clusterSettings), EmptyClusterInfoService.INSTANCE, - snapshotsInfoService + snapshotsInfoService, + settings ); } @@ -489,6 +494,25 @@ public MockAllocationService( super(allocationDeciders, gatewayAllocator, shardsAllocator, clusterInfoService, snapshotsInfoService); } + public MockAllocationService( + AllocationDeciders allocationDeciders, + GatewayAllocator gatewayAllocator, + ShardsAllocator shardsAllocator, + ClusterInfoService clusterInfoService, + SnapshotsInfoService snapshotsInfoService, + Settings settings + ) { + super( + allocationDeciders, + shardsAllocator, + clusterInfoService, + snapshotsInfoService, + settings, + new ClusterManagerMetrics(NoopMetricsRegistry.INSTANCE) + ); + setExistingShardsAllocators(Collections.singletonMap(GatewayAllocator.ALLOCATOR_NAME, gatewayAllocator)); + } + public void setNanoTimeOverride(long nanoTime) { this.nanoTimeOverride = nanoTime; } From b2bc5533562828d58870ec47fce6e46b2abf7fa0 Mon Sep 17 00:00:00 2001 From: Khishore_BSK Date: Fri, 3 Jul 2026 05:38:10 +0530 Subject: [PATCH 84/94] fix(tiering): Track force merges in activeMerges to prevent tiering before force merge completion (#22370) * fix(tiering): Track force merges in activeMerges to prevent tiering race condition MergeScheduler.forceMerge() runs merges by calling runMerge() directly, bypassing submitMergeTask() which is the only place that increments activeMerges. This makes in-flight force merges invisible to onMergesDrained(), causing tiering's prepare step to proceed immediately while a force merge is still running. When AutoForceMergeManager triggers a force merge on an idle shard and tiering is triggered before it completes, the merge finishes after shard relocation. The merged segment is never uploaded to remote store (RemoteStoreRefreshListener is already closed), leaving the replica permanently diverged with a linearly growing replication lag. Changes: - Increment activeMerges in forceMerge() so onMergesDrained correctly waits for in-flight force merges before proceeding with tiering - Fire drain listeners in forceMerge() finally block when all merges complete (mirrors submitMergeTask behavior) - Add waitForReplicaSync() to IndexShard to verify replicas are in sync after waitForRemoteStoreSync() in the tiering prepare step - Add unit tests verifying force merges block drain and are visible to getActiveMergeCount() Signed-off-by: bkhishor * test: Add unit tests for waitForReplicaSync and minor refinements - Add IndexShardTests for waitForReplicaSync behavior - Refine integration test assertions Signed-off-by: bkhishor --- .../DataFormatAwarePrepareTieringAsyncIT.java | 96 ++++++++++++++ .../common/settings/ClusterSettings.java | 1 + .../dataformat/merge/MergeScheduler.java | 36 ++++-- .../opensearch/index/shard/IndexShard.java | 73 +++++++++++ .../TransportPrepareTieringAction.java | 12 ++ .../storage/common/tiering/TieringUtils.java | 11 ++ .../merge/MergeSchedulerOnDrainedTests.java | 109 ++++++++++++++++ .../index/shard/IndexShardTests.java | 119 ++++++++++++++++++ .../TransportPrepareTieringActionTests.java | 32 ++++- 9 files changed, 474 insertions(+), 15 deletions(-) diff --git a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java index 47edc5b14da81..c2928e169155b 100644 --- a/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java +++ b/sandbox/plugins/composite-engine/src/internalClusterTest/java/org/opensearch/composite/DataFormatAwarePrepareTieringAsyncIT.java @@ -24,6 +24,7 @@ import java.util.HashSet; import java.util.Set; +import java.util.concurrent.TimeUnit; /** * End-to-end integration test for the asynchronous pre-tiering sync ({@link PrepareTieringAction}). @@ -202,4 +203,99 @@ private IndexShard primaryShard(String index, int shardId) { IndicesService indicesService = internalCluster().getInstance(IndicesService.class, nodeName); return indicesService.indexServiceSafe(resolveIndex(index)).getShard(shardId); } + + /** + * Triggers a force merge and immediately calls prepare tiering back-to-back. Whether the force + * merge is still in-flight when prepare runs depends on timing — the test verifies that in either + * case: + *

          + *
        • Prepare succeeds (no shard failures)
          • + *
        • All merges (background and force) are drained after prepare completes
          • + *
        • Replicas are in sync with the primary (checkpoints behind == 0)
          • + *
        + * This guards against the race condition where forceMerge was invisible to onMergesDrained, + * causing tiering to proceed while a force merge was still running. + */ + public void testPrepareTieringAfterForceMerge_MergesDrainedAndReplicasInSync() throws Exception { + internalCluster().startClusterManagerOnlyNode(); + internalCluster().startDataAndWarmNodes(2); + + Settings settings = Settings.builder().put(dfaIndexSettings(1)).put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1).build(); + client().admin().indices().prepareCreate(ASYNC_INDEX).setSettings(settings).get(); + ensureGreen(ASYNC_INDEX); + + try { + // Index in many batches to create multiple segments worth merging + int id = 0; + for (int batch = 0; batch < INDEX_BATCHES * 2; batch++) { + for (int i = 0; i < DOCS_PER_BATCH; i++) { + client().prepareIndex(ASYNC_INDEX).setSource("field_text", "value_" + id, "field_number", (long) id).get(); + id++; + } + client().admin().indices().prepareRefresh(ASYNC_INDEX).get(); + } + final int totalDocs = id; + client().admin().indices().prepareFlush(ASYNC_INDEX).setForce(true).get(); + + // Trigger force merge (non-blocking) and immediately call prepare tiering back-to-back. + // Whether the merge is still in-flight or already done when prepare runs is timing-dependent — + // both outcomes must result in a successful prepare with drained merges. + client().admin().indices().prepareForceMerge(ASYNC_INDEX).setMaxNumSegments(1).setFlush(false).execute(); + + PrepareTieringRequest request = new PrepareTieringRequest(ASYNC_INDEX); + request.timeout(TimeValue.timeValueSeconds(90)); + BroadcastResponse response = client().execute(PrepareTieringAction.INSTANCE, request).actionGet(); + + // Prepare must succeed — regardless of whether force merge was still running or already done + assertEquals("all shards targeted", 1, response.getTotalShards()); + assertEquals("no shard should fail prepare", 0, response.getFailedShards()); + assertEquals("shard should prepare successfully", 1, response.getSuccessfulShards()); + + // After prepare completes, all merges must be drained + IndexShard primary = primaryShard(ASYNC_INDEX, 0); + assertEquals("active merges should be drained after prepare", 0, primary.getActiveMergeCount()); + assertFalse("no pending merges should remain after prepare", primary.hasPendingMerges()); + + // Replicas must be in sync — checkpoints behind should be 0 + assertBusy(() -> { + var replicationStats = primary.getReplicationStatsForTrackedReplicas(); + for (var stat : replicationStats) { + assertEquals("replica should be in sync after prepare (checkpoints behind)", 0, stat.getCheckpointsBehindCount()); + assertEquals("replica should be in sync after prepare (bytes behind)", 0, stat.getBytesBehindCount()); + assertEquals("replica should have no in-flight replication", 0, stat.getCurrentReplicationTimeMillis()); + } + }, 30, TimeUnit.SECONDS); + + // Data integrity: doc count should be preserved + assertEquals("all docs should be present", (long) totalDocs, primariesDocCount(ASYNC_INDEX)); + + // After prepare, replica should have the same segment layout as primary (in sync) + long primarySegments = client().admin() + .indices() + .prepareStats(ASYNC_INDEX) + .clear() + .setSegments(true) + .get() + .getIndex(ASYNC_INDEX) + .getPrimaries() + .getSegments() + .getCount(); + + long totalSegments = client().admin() + .indices() + .prepareStats(ASYNC_INDEX) + .clear() + .setSegments(true) + .get() + .getIndex(ASYNC_INDEX) + .getTotal() + .getSegments() + .getCount(); + + // 1P+1R: total should be exactly 2x primary (replica mirrors primary) + assertEquals("replica segment count should match primary after prepare", primarySegments * 2, totalSegments); + } finally { + client().admin().indices().delete(new DeleteIndexRequest(ASYNC_INDEX)).actionGet(); + } + } } diff --git a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java index 398eb23e34b9f..e0e0fe4111080 100644 --- a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java +++ b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java @@ -782,6 +782,7 @@ public void apply(Settings value, Settings current, Settings previous) { TieringUtils.JVM_USAGE_TIERING_THRESHOLD_PERCENT, TieringUtils.FILECACHE_ACTIVE_USAGE_TIERING_THRESHOLD_PERCENT, TieringUtils.PREPARE_TIERING_TIMEOUT, + TieringUtils.REPLICA_SYNC_TIMEOUT_SETTING, // Settings related to Remote Refresh Segment Pressure RemoteStorePressureSettings.REMOTE_REFRESH_SEGMENT_PRESSURE_ENABLED, diff --git a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java index 2904cd9f541ab..627ac113efb88 100644 --- a/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java +++ b/server/src/main/java/org/opensearch/index/engine/dataformat/merge/MergeScheduler.java @@ -154,6 +154,7 @@ public void forceMerge(int maxNumSegment) throws IOException { assert Thread.currentThread().getName().contains(ThreadPool.Names.FORCE_MERGE) : "forceMerge must be called on FORCE_MERGE thread but was: " + Thread.currentThread().getName(); forceMergeLock.acquireUninterruptibly(); + activeMerges.incrementAndGet(); try { if (isShutdown.get()) { logger.debug("MergeScheduler is shutdown, skipping force merge"); @@ -168,6 +169,7 @@ public void forceMerge(int maxNumSegment) throws IOException { runMerge(oneMerge); } } finally { + decrementAndFireDrainListeners(); forceMergeLock.release(); } } @@ -342,19 +344,7 @@ private void submitMergeTask(OneMerge oneMerge) { // runMerge already invoked onMergeFailureCleanup; swallow to prevent // uncaught exception on the merge thread pool. } finally { - activeMerges.decrementAndGet(); - // Fire all drain listeners if all merges completed and none pending - if (isFrozen() && activeMerges.get() == 0 && !mergeHandler.hasPendingMerges() && !onDrainedListeners.isEmpty()) { - List listeners = List.copyOf(onDrainedListeners); - onDrainedListeners.clear(); - for (Runnable listener : listeners) { - try { - listener.run(); - } catch (Exception ex) { - logger.warn("Exception in onDrained listener", ex); - } - } - } + decrementAndFireDrainListeners(); // A completed merge may free up capacity for new merges, so check again. executeMerge(); } @@ -394,4 +384,24 @@ private void runMerge(OneMerge oneMerge) throws IOException { mergeStatsTracker.afterMerge(tookMS, totalNumDocs, totalSizeInBytes); } } + + /** + * Decrements the active merge count and fires all registered drain listeners if the scheduler + * is frozen and no merges (active or pending) remain. Called from both the background merge + * ({@link #submitMergeTask}) and force merge ({@link #forceMerge}) completion paths. + */ + private void decrementAndFireDrainListeners() { + activeMerges.decrementAndGet(); + if (isFrozen() && activeMerges.get() == 0 && !mergeHandler.hasPendingMerges() && !onDrainedListeners.isEmpty()) { + List listeners = List.copyOf(onDrainedListeners); + onDrainedListeners.clear(); + for (Runnable listener : listeners) { + try { + listener.run(); + } catch (Exception ex) { + logger.warn("Exception in onDrained listener", ex); + } + } + } + } } diff --git a/server/src/main/java/org/opensearch/index/shard/IndexShard.java b/server/src/main/java/org/opensearch/index/shard/IndexShard.java index 5f3d5feb7e1d6..46ac14f2cfbdf 100644 --- a/server/src/main/java/org/opensearch/index/shard/IndexShard.java +++ b/server/src/main/java/org/opensearch/index/shard/IndexShard.java @@ -416,6 +416,8 @@ Runnable getGlobalCheckpointSyncer() { // Used to limit the number of concurrent translog tasks. When the semaphore is exhausted, serial recovery is used. private static final Semaphore translogConcurrentRecoverySemaphore = new Semaphore(1000); + private static final long REPLICA_SYNC_POLL_INTERVAL_MS = 500; + private final DataFormatRegistry dataFormatRegistry; private final Map checksumStrategies; @@ -3843,6 +3845,77 @@ public Set getReplicationStatsForTrackedReplicas() return replicationTracker.getSegmentReplicationStats(); } + /** + * Stable marker substring embedded in every replica-sync-timeout message. Used for detection + * in mixed-version clusters or log parsing, analogous to + * {@link org.opensearch.storage.action.tiering.MergeDrainTimeoutException#MERGE_DRAIN_TIMEOUT_MARKER}. + */ + public static final String REPLICA_SYNC_TIMEOUT_MARKER = "[REPLICA_SYNC_TIMEOUT]"; + + /** + * Waits for all tracked replicas to be in sync with the primary's latest checkpoint. + * Polls every 500ms until either all replicas report {@code checkpointsBehindCount == 0} + * or the timeout is exceeded. + *

        + * Used during tiering preparation to verify replicas are in sync after + * {@code waitForRemoteStoreSync()} — ensures replicas have downloaded the latest + * segments before shard relocation begins. + * + * @param timeout maximum time to wait for replicas to sync + * @throws IOException if replicas fail to sync within the timeout + */ + public void waitForReplicaSync(TimeValue timeout) throws IOException { + if (!indexSettings.isSegRepEnabledOrRemoteNode()) { + return; + } + long startNanos = System.nanoTime(); + Set stats = Set.of(); + while (System.nanoTime() - startNanos < timeout.nanos()) { + stats = getReplicationStatsForTrackedReplicas(); + if (stats.isEmpty() + || stats.stream() + .allMatch( + s -> s.getCheckpointsBehindCount() == 0 && s.getBytesBehindCount() == 0 && s.getCurrentReplicationTimeMillis() == 0 + )) { + logger.debug("All replicas in sync for shard [{}]", shardId); + return; + } + long behindReplicas = stats.stream().filter(s -> s.getCheckpointsBehindCount() > 0 || s.getBytesBehindCount() > 0).count(); + long maxCheckpointsBehind = stats.stream().mapToLong(SegmentReplicationShardStats::getCheckpointsBehindCount).max().orElse(0); + long maxBytesBehind = stats.stream().mapToLong(SegmentReplicationShardStats::getBytesBehindCount).max().orElse(0); + logger.debug( + "Waiting for replica sync on shard [{}]: {} replica(s) still behind, max checkpoints behind: {}, max bytes behind: {}", + shardId, + behindReplicas, + maxCheckpointsBehind, + maxBytesBehind + ); + try { + Thread.sleep(500); + } catch (InterruptedException e) { + Thread.currentThread().interrupt(); + throw new OpenSearchException("Interrupted waiting for replica sync on shard [" + shardId + "]", e); + } + } + // Build diagnostic message with per-replica details + long behindCount = stats.stream().filter(s -> s.getCheckpointsBehindCount() > 0 || s.getBytesBehindCount() > 0).count(); + long maxBehind = stats.stream().mapToLong(SegmentReplicationShardStats::getCheckpointsBehindCount).max().orElse(0); + long maxBytes = stats.stream().mapToLong(SegmentReplicationShardStats::getBytesBehindCount).max().orElse(0); + throw new IOException( + REPLICA_SYNC_TIMEOUT_MARKER + + " Shard [" + + shardId + + "] replicas failed to sync within " + + timeout + + ". Replicas still behind: " + + behindCount + + ", max checkpoints behind: " + + maxBehind + + ", max bytes behind: " + + maxBytes + ); + } + public ReplicationStats getReplicationStats() { if (indexSettings.isSegRepEnabledOrRemoteNode() && !routingEntry().primary()) { return segmentReplicationStatsProvider.apply(shardId); diff --git a/server/src/main/java/org/opensearch/storage/action/tiering/TransportPrepareTieringAction.java b/server/src/main/java/org/opensearch/storage/action/tiering/TransportPrepareTieringAction.java index ee74a17c828e1..3f281ea6e06cb 100644 --- a/server/src/main/java/org/opensearch/storage/action/tiering/TransportPrepareTieringAction.java +++ b/server/src/main/java/org/opensearch/storage/action/tiering/TransportPrepareTieringAction.java @@ -63,6 +63,7 @@ public class TransportPrepareTieringAction extends TransportBroadcastByNodeActio private final IndicesService indicesService; private final ThreadPool threadPool; private volatile TimeValue prepareTieringTimeout; + private volatile TimeValue replicaSyncTimeout; /** * Constructs a TransportPrepareTieringAction. @@ -94,6 +95,9 @@ public TransportPrepareTieringAction( this.threadPool = transportService.getThreadPool(); this.prepareTieringTimeout = TieringUtils.PREPARE_TIERING_TIMEOUT.get(clusterService.getSettings()); clusterService.getClusterSettings().addSettingsUpdateConsumer(TieringUtils.PREPARE_TIERING_TIMEOUT, this::setPrepareTieringTimeout); + this.replicaSyncTimeout = TieringUtils.REPLICA_SYNC_TIMEOUT_SETTING.get(clusterService.getSettings()); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer(TieringUtils.REPLICA_SYNC_TIMEOUT_SETTING, this::setReplicaSyncTimeout); } private void setPrepareTieringTimeout(TimeValue timeout) { @@ -101,6 +105,11 @@ private void setPrepareTieringTimeout(TimeValue timeout) { logger.info("Updated prepare tiering timeout to [{}]", timeout); } + private void setReplicaSyncTimeout(TimeValue timeout) { + this.replicaSyncTimeout = timeout; + logger.info("Updated replica sync timeout to [{}]", timeout); + } + /** * Opt-in to async shard operation execution. Each shard's syncAndFlush is dispatched * to the thread pool in parallel, and the transport response is sent only after @@ -254,6 +263,9 @@ private void completeSyncAndFlush(IndexShard indexShard, ShardRouting shardRouti // "prepare_tiering" source bypasses the freeze guard — this is the last refresh ever. indexShard.refresh("prepare_tiering"); indexShard.waitForRemoteStoreSync(); + // Wait for replicas to apply the latest checkpoint before relocation. + // This ensures replicas have downloaded the merged segment(s) from remote store. + indexShard.waitForReplicaSync(replicaSyncTimeout); verifyNoUncommittedOps(indexShard, shardRouting); logger.debug("Shard [{}] prepared for tiering successfully", shardRouting.shardId()); diff --git a/server/src/main/java/org/opensearch/storage/common/tiering/TieringUtils.java b/server/src/main/java/org/opensearch/storage/common/tiering/TieringUtils.java index 85c220e2edc5d..657f6ecc18903 100644 --- a/server/src/main/java/org/opensearch/storage/common/tiering/TieringUtils.java +++ b/server/src/main/java/org/opensearch/storage/common/tiering/TieringUtils.java @@ -143,6 +143,17 @@ private TieringUtils() {} Setting.Property.NodeScope ); + public static final String REPLICA_SYNC_TIMEOUT_KEY = "tiering.prepare.replica_sync_timeout"; + /** Setting for how long to wait for replicas to sync during tiering preparation. Dynamically updatable. */ + public static final Setting REPLICA_SYNC_TIMEOUT_SETTING = Setting.timeSetting( + REPLICA_SYNC_TIMEOUT_KEY, + TimeValue.timeValueSeconds(30), + TimeValue.timeValueSeconds(5), + TimeValue.timeValueMinutes(5), + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + /** * List of index name prefixes that should be allowed to be migrated. * This takes precedence over the 'block-listed' index prefixes. diff --git a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java index 27709d31f1a9f..b9f1bb64cb4f8 100644 --- a/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java +++ b/server/src/test/java/org/opensearch/index/engine/dataformat/merge/MergeSchedulerOnDrainedTests.java @@ -14,6 +14,7 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.index.IndexSettings; import org.opensearch.index.engine.dataformat.MergeResult; +import org.opensearch.index.engine.exec.Segment; import org.opensearch.storage.action.tiering.MergeDrainTimeoutException; import org.opensearch.test.IndexSettingsModule; import org.opensearch.test.OpenSearchTestCase; @@ -570,4 +571,112 @@ public void testConcurrentOnDrained_AllListenersFireWhenAlreadyDrained() throws assertNull("concurrent onDrained() must not throw", error.get()); assertEquals("every listener must fire inline when already drained", numThreads, fired.get()); } + + /** + * Verifies that an in-flight force merge blocks {@code onDrained} from firing immediately. + * The drain listener must only fire after the force merge completes. This tests the fix for + * the tiering race condition where {@code onMergesDrained} would fire immediately during + * a running force merge because {@code activeMerges} was never incremented. + */ + public void testOnDrained_BlockedByInFlightForceMerge() throws Exception { + MergeHandler mockHandler = mock(MergeHandler.class); + when(mockHandler.hasPendingMerges()).thenReturn(false); + + Segment s1 = new Segment(1L, Collections.emptyMap()); + OneMerge oneMerge = new OneMerge(Collections.singletonList(s1)); + when(mockHandler.findForceMerges(1)).thenReturn(Collections.singletonList(oneMerge)); + + // doMerge blocks until we release the latch — simulates a long-running merge + CountDownLatch mergeStarted = new CountDownLatch(1); + CountDownLatch mergeCanProceed = new CountDownLatch(1); + when(mockHandler.doMerge(oneMerge)).thenAnswer(invocation -> { + mergeStarted.countDown(); + mergeCanProceed.await(10, TimeUnit.SECONDS); + return new MergeResult(Collections.emptyMap()); + }); + + IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); + ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + + // Start force merge on a FORCE_MERGE-named thread (required by assertion) + AtomicReference forceMergeError = new AtomicReference<>(); + Thread forceMergeThread = new Thread(() -> { + try { + scheduler.forceMerge(1); + } catch (Exception e) { + forceMergeError.set(e); + } + }, ThreadPool.Names.FORCE_MERGE + "-test"); + forceMergeThread.setDaemon(true); + forceMergeThread.start(); + + // Wait for merge to actually start + assertTrue("Force merge should have started", mergeStarted.await(5, TimeUnit.SECONDS)); + + // Now freeze and try to drain — should NOT fire immediately + scheduler.freeze(); + AtomicBoolean drainListenerFired = new AtomicBoolean(false); + scheduler.onDrained(() -> drainListenerFired.set(true)); + + // Drain listener must NOT have fired — force merge is still running + assertFalse("onDrained listener must NOT fire while force merge is in-flight", drainListenerFired.get()); + + // Verify activeMerges reflects the running force merge + assertEquals("activeMerges should be 1 during force merge", 1, scheduler.getActiveMergeCount()); + + // Now let the merge complete + mergeCanProceed.countDown(); + forceMergeThread.join(10_000); + assertNull("forceMerge should complete without error", forceMergeError.get()); + + // After force merge completes, drain listener should have fired + assertTrue("onDrained listener must fire after force merge completes", drainListenerFired.get()); + assertEquals("activeMerges should be 0 after force merge", 0, scheduler.getActiveMergeCount()); + } + + /** + * Verifies that {@code getActiveMergeCount()} correctly includes a running force merge. + * Before the fix, force merges never incremented {@code activeMerges}, making them invisible + * to the tiering drain mechanism. + */ + public void testGetActiveMergeCount_IncludesForceMerge() throws Exception { + MergeHandler mockHandler = mock(MergeHandler.class); + when(mockHandler.hasPendingMerges()).thenReturn(false); + + Segment s1 = new Segment(1L, Collections.emptyMap()); + OneMerge oneMerge = new OneMerge(Collections.singletonList(s1)); + when(mockHandler.findForceMerges(1)).thenReturn(Collections.singletonList(oneMerge)); + + CountDownLatch mergeStarted = new CountDownLatch(1); + CountDownLatch mergeCanProceed = new CountDownLatch(1); + when(mockHandler.doMerge(oneMerge)).thenAnswer(invocation -> { + mergeStarted.countDown(); + mergeCanProceed.await(10, TimeUnit.SECONDS); + return new MergeResult(Collections.emptyMap()); + }); + + IndexSettings indexSettings = IndexSettingsModule.newIndexSettings("test", Settings.EMPTY); + ShardId testShardId = new ShardId(indexSettings.getIndex(), 0); + MergeScheduler scheduler = new MergeScheduler(mockHandler, (result, merge) -> {}, () -> {}, testShardId, indexSettings, threadPool); + + assertEquals("activeMerges should be 0 before force merge", 0, scheduler.getActiveMergeCount()); + + Thread forceMergeThread = new Thread(() -> { + try { + scheduler.forceMerge(1); + } catch (Exception e) { + // ignore + } + }, ThreadPool.Names.FORCE_MERGE + "-test"); + forceMergeThread.setDaemon(true); + forceMergeThread.start(); + + assertTrue("Merge should have started", mergeStarted.await(5, TimeUnit.SECONDS)); + assertEquals("activeMerges should be 1 during force merge", 1, scheduler.getActiveMergeCount()); + + mergeCanProceed.countDown(); + forceMergeThread.join(10_000); + assertEquals("activeMerges should be 0 after force merge", 0, scheduler.getActiveMergeCount()); + } } diff --git a/server/src/test/java/org/opensearch/index/shard/IndexShardTests.java b/server/src/test/java/org/opensearch/index/shard/IndexShardTests.java index 80f0124aef0e3..48baf75b4625a 100644 --- a/server/src/test/java/org/opensearch/index/shard/IndexShardTests.java +++ b/server/src/test/java/org/opensearch/index/shard/IndexShardTests.java @@ -98,6 +98,7 @@ import org.opensearch.core.xcontent.XContentBuilder; import org.opensearch.env.NodeEnvironment; import org.opensearch.index.IndexSettings; +import org.opensearch.index.SegmentReplicationShardStats; import org.opensearch.index.codec.CodecService; import org.opensearch.index.engine.CommitStats; import org.opensearch.index.engine.DocIdSeqNoAndSource; @@ -230,7 +231,12 @@ import static org.hamcrest.Matchers.nullValue; import static org.hamcrest.Matchers.oneOf; import static org.hamcrest.Matchers.sameInstance; +import static org.mockito.Mockito.doReturn; import static org.mockito.Mockito.mock; +import static org.mockito.Mockito.spy; +import static org.mockito.Mockito.times; +import static org.mockito.Mockito.verify; +import static org.mockito.Mockito.when; /** * Simple unit-test IndexShard related operations. @@ -5623,4 +5629,117 @@ public void testOnMergesDrained_OnReplica_TripsPrimaryAssertion() throws IOExcep closeShards(replica); } } + + /** + * Verifies {@code waitForReplicaSync} returns immediately on a non-segment-replication index + * (the method is a no-op when segment replication is not enabled). + */ + public void testWaitForReplicaSync_NonSegRepIndex_ReturnsImmediately() throws IOException { + IndexShard shard = newStartedShard(true); + try { + // Should not throw — returns immediately for non-seg-rep indices + shard.waitForReplicaSync(TimeValue.timeValueSeconds(1)); + } finally { + closeShards(shard); + } + } + + /** + * Verifies {@code waitForReplicaSync} returns immediately when replicas are already in sync. + */ + public void testWaitForReplicaSync_AlreadyInSync_ReturnsImmediately() throws IOException { + Settings segRepSettings = Settings.builder() + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT.toString()) + .build(); + IndexShard shard = newStartedShard(true, segRepSettings); + try { + // Spy on the shard to simulate a replica that's already in sync + IndexShard spyShard = spy(shard); + SegmentReplicationShardStats inSyncStat = mock(SegmentReplicationShardStats.class); + when(inSyncStat.getCheckpointsBehindCount()).thenReturn(0L); + when(inSyncStat.getBytesBehindCount()).thenReturn(0L); + when(inSyncStat.getCurrentReplicationTimeMillis()).thenReturn(0L); + doReturn(Set.of(inSyncStat)).when(spyShard).getReplicationStatsForTrackedReplicas(); + + spyShard.waitForReplicaSync(TimeValue.timeValueSeconds(10)); + + // Should have checked stats exactly once and returned — no polling loop + verify(spyShard, times(1)).getReplicationStatsForTrackedReplicas(); + } finally { + closeShards(shard); + } + } + + /** + * Verifies {@code waitForReplicaSync} throws IOException when replicas fail to sync within timeout. + */ + public void testWaitForReplicaSync_Timeout_ThrowsIOException() throws IOException { + Settings segRepSettings = Settings.builder() + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT.toString()) + .build(); + IndexShard shard = newStartedShard(true, segRepSettings); + try { + // Spy on the shard to simulate a replica that's always behind + IndexShard spyShard = spy(shard); + SegmentReplicationShardStats behindStat = mock(SegmentReplicationShardStats.class); + when(behindStat.getCheckpointsBehindCount()).thenReturn(3L); + doReturn(Set.of(behindStat)).when(spyShard).getReplicationStatsForTrackedReplicas(); + + // Use a very short timeout so the test doesn't take 30s + IOException ex = expectThrows(IOException.class, () -> spyShard.waitForReplicaSync(TimeValue.timeValueMillis(600))); + assertThat(ex.getMessage(), containsString("replicas failed to sync within")); + assertThat(ex.getMessage(), containsString("max checkpoints behind: 3")); + } finally { + closeShards(shard); + } + } + + /** + * Verifies {@code waitForReplicaSync} does NOT return immediately when bytesBehind is non-zero, + * even if checkpointsBehindCount is zero. This catches the DFA metadata mismatch scenario. + */ + public void testWaitForReplicaSync_BytesBehindNonZero_TimesOut() throws IOException { + Settings segRepSettings = Settings.builder() + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT.toString()) + .build(); + IndexShard shard = newStartedShard(true, segRepSettings); + try { + IndexShard spyShard = spy(shard); + SegmentReplicationShardStats behindStat = mock(SegmentReplicationShardStats.class); + when(behindStat.getCheckpointsBehindCount()).thenReturn(0L); + when(behindStat.getBytesBehindCount()).thenReturn(26600000000L); + when(behindStat.getCurrentReplicationTimeMillis()).thenReturn(0L); + doReturn(Set.of(behindStat)).when(spyShard).getReplicationStatsForTrackedReplicas(); + + IOException ex = expectThrows(IOException.class, () -> spyShard.waitForReplicaSync(TimeValue.timeValueMillis(600))); + assertThat(ex.getMessage(), containsString(IndexShard.REPLICA_SYNC_TIMEOUT_MARKER)); + assertThat(ex.getMessage(), containsString("max bytes behind:")); + } finally { + closeShards(shard); + } + } + + /** + * Verifies {@code waitForReplicaSync} does NOT return immediately when replication is in progress + * (currentReplicationTimeMillis > 0), even if checkpoints and bytes behind are zero. + */ + public void testWaitForReplicaSync_ReplicationInProgress_TimesOut() throws IOException { + Settings segRepSettings = Settings.builder() + .put(IndexMetadata.SETTING_REPLICATION_TYPE, ReplicationType.SEGMENT.toString()) + .build(); + IndexShard shard = newStartedShard(true, segRepSettings); + try { + IndexShard spyShard = spy(shard); + SegmentReplicationShardStats replicatingStat = mock(SegmentReplicationShardStats.class); + when(replicatingStat.getCheckpointsBehindCount()).thenReturn(0L); + when(replicatingStat.getBytesBehindCount()).thenReturn(0L); + when(replicatingStat.getCurrentReplicationTimeMillis()).thenReturn(5000L); + doReturn(Set.of(replicatingStat)).when(spyShard).getReplicationStatsForTrackedReplicas(); + + IOException ex = expectThrows(IOException.class, () -> spyShard.waitForReplicaSync(TimeValue.timeValueMillis(600))); + assertThat(ex.getMessage(), containsString(IndexShard.REPLICA_SYNC_TIMEOUT_MARKER)); + } finally { + closeShards(shard); + } + } } diff --git a/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java b/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java index abd9ee832fd14..a1f69020e5dc9 100644 --- a/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java +++ b/server/src/test/java/org/opensearch/storage/action/tiering/TransportPrepareTieringActionTests.java @@ -53,6 +53,7 @@ import org.mockito.ArgumentCaptor; import org.mockito.InOrder; +import static org.hamcrest.Matchers.containsString; import static org.mockito.ArgumentMatchers.any; import static org.mockito.Mockito.doAnswer; import static org.mockito.Mockito.doThrow; @@ -144,6 +145,7 @@ private void executeShardOperation(IndexShard indexShard, ShardRouting shardRout indexShard.flush(new FlushRequest().force(true).waitIfOngoing(true)); indexShard.refresh("prepare_tiering"); indexShard.waitForRemoteStoreSync(); + indexShard.waitForReplicaSync(TimeValue.timeValueSeconds(30)); int uncommitted = indexShard.translogStats().getUncommittedOperations(); if (uncommitted > 0) { @@ -173,7 +175,8 @@ public void testShardOperation_FreezesAndDrainsMergesBeforeFlush() throws IOExce } /** - * Verifies that the shard operation calls sync, flush, refresh, and waitForRemoteStoreSync in order. + * Verifies that the shard operation calls sync, flush, refresh, waitForRemoteStoreSync, + * and waitForReplicaSync in order. */ public void testShardOperation_SyncFlushRefreshAndWaitForRemoteSync() throws IOException { mockPermitAcquisitionSuccess(); @@ -185,6 +188,28 @@ public void testShardOperation_SyncFlushRefreshAndWaitForRemoteSync() throws IOE inOrder.verify(mockIndexShard).flush(any(FlushRequest.class)); inOrder.verify(mockIndexShard).refresh("prepare_tiering"); inOrder.verify(mockIndexShard).waitForRemoteStoreSync(); + inOrder.verify(mockIndexShard).waitForReplicaSync(any(TimeValue.class)); + } + + /** + * Verifies that if waitForReplicaSync throws (replicas failed to sync in time), + * the exception propagates and the prepare action fails — allowing retry. + */ + public void testShardOperation_WaitForReplicaSyncTimeout_PropagatesFailure() throws IOException { + mockPermitAcquisitionSuccess(); + + doThrow( + new IOException( + "[REPLICA_SYNC_TIMEOUT] Shard [[clickbench][0]] replicas failed to sync within 30s. " + + "Replicas still behind: 1, max checkpoints behind: 2" + ) + ).when(mockIndexShard).waitForReplicaSync(any(TimeValue.class)); + + IOException ex = expectThrows(IOException.class, () -> executeShardOperation(mockIndexShard, primaryShardRouting)); + assertThat(ex.getMessage(), containsString("[REPLICA_SYNC_TIMEOUT]")); + + // Verify permit was released despite the exception + verify(mockPermit, timeout(5000)).close(); } /** @@ -1065,7 +1090,10 @@ public void onFailure(Exception e) { private TransportPrepareTieringAction newRealAction(TestThreadPool threadPool) { ClusterService mockClusterService = mock(ClusterService.class); Settings nodeSettings = Settings.EMPTY; - ClusterSettings clusterSettings = new ClusterSettings(nodeSettings, java.util.Set.of(TieringUtils.PREPARE_TIERING_TIMEOUT)); + ClusterSettings clusterSettings = new ClusterSettings( + nodeSettings, + java.util.Set.of(TieringUtils.PREPARE_TIERING_TIMEOUT, TieringUtils.REPLICA_SYNC_TIMEOUT_SETTING) + ); when(mockClusterService.getSettings()).thenReturn(nodeSettings); when(mockClusterService.getClusterSettings()).thenReturn(clusterSettings); From 0bf608b1fb95e286209c60f7d4ac0164f6ba3084 Mon Sep 17 00:00:00 2001 From: Andriy Redko Date: Fri, 3 Jul 2026 17:22:19 -0400 Subject: [PATCH 85/94] Accommodate JDK-26 related changes with respect to HttpClient behavior (#22386) Signed-off-by: Andriy Redko --- .../httpclient/RestHttpClientSingleHostIntegTests.java | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/client/rest-http-client/src/test/java/org/opensearch/internal/httpclient/RestHttpClientSingleHostIntegTests.java b/client/rest-http-client/src/test/java/org/opensearch/internal/httpclient/RestHttpClientSingleHostIntegTests.java index b76081bd684e4..7a9734b6162e1 100644 --- a/client/rest-http-client/src/test/java/org/opensearch/internal/httpclient/RestHttpClientSingleHostIntegTests.java +++ b/client/rest-http-client/src/test/java/org/opensearch/internal/httpclient/RestHttpClientSingleHostIntegTests.java @@ -279,6 +279,10 @@ public void testHeaders() throws Exception { Arrays.asList("Connection", "Host", "User-agent", "Date", "Upgrade", "HTTP2-Settings", "Content-Length") ); + if (method.equals("HEAD") && Runtime.version().feature() > 25 /* https://bugs.openjdk.org/browse/JDK-8369981 */) { + standardHeaders.remove("Content-Length"); + } + final Map> requestHeaders = RestClientTestUtil.randomHeaders(getRandom(), "Header"); final int statusCode = RestClientTestUtil.randomStatusCode(getRandom()); Request request = Request.newRequest(method, "/" + statusCode) From cfee3fbf181882fbf77a1f6dbbc57711713163da Mon Sep 17 00:00:00 2001 From: Jiaping Zeng Date: Sat, 4 Jul 2026 08:31:39 -0700 Subject: [PATCH 86/94] Add HTTP request body decompression to reactor-netty4 transport (#22382) * Add HTTP request body decompression to reactor-netty4 transport The reactor-netty4 HTTP transport plugin only configures response compression via .compress(true) but does not handle incoming request body decompression. This means requests with Content-Encoding: gzip header arrive as raw compressed bytes, causing JSON parse failures (e.g. JsonParseException on byte 0x1F, the gzip magic byte). The standard Netty4HttpServerTransport handles this via HttpContentDecompressor in its pipeline, but reactor-netty4 bypasses that pipeline entirely. This commit adds .doOnConnection() to inject Netty's HttpContentDecompressor into each connection's pipeline, enabling transparent decompression of gzip/deflate-encoded request bodies. This matches the behavior of the standard transport and is required for compatibility with clients like opensearch-java's AwsSdk2Transport, which auto-compresses request bodies larger than 8KB. Signed-off-by: Jiaping Zeng * Update plugins/transport-reactor-netty4/src/main/java/org/opensearch/http/reactor/netty4/ReactorNetty4HttpServerTransport.java Co-authored-by: Andriy Redko Signed-off-by: Jiaping Zeng * address comments Signed-off-by: Jiaping Zeng * fix build Signed-off-by: Jiaping Zeng --------- Signed-off-by: Jiaping Zeng Co-authored-by: Andriy Redko --- .../ReactorNetty4HttpServerTransport.java | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) diff --git a/plugins/transport-reactor-netty4/src/main/java/org/opensearch/http/reactor/netty4/ReactorNetty4HttpServerTransport.java b/plugins/transport-reactor-netty4/src/main/java/org/opensearch/http/reactor/netty4/ReactorNetty4HttpServerTransport.java index 9e6705c4d9899..29dcfdf1a3e81 100644 --- a/plugins/transport-reactor-netty4/src/main/java/org/opensearch/http/reactor/netty4/ReactorNetty4HttpServerTransport.java +++ b/plugins/transport-reactor-netty4/src/main/java/org/opensearch/http/reactor/netty4/ReactorNetty4HttpServerTransport.java @@ -59,11 +59,13 @@ import io.netty.buffer.ByteBuf; import io.netty.channel.Channel; +import io.netty.channel.ChannelInboundHandlerAdapter; import io.netty.channel.ChannelOption; import io.netty.channel.socket.nio.NioChannelOption; import io.netty.handler.codec.http.DefaultLastHttpContent; import io.netty.handler.codec.http.FullHttpResponse; import io.netty.handler.codec.http.HttpContent; +import io.netty.handler.codec.http.HttpContentDecompressor; import io.netty.handler.codec.http.HttpResponseStatus; import io.netty.handler.codec.quic.QuicSslContextBuilder; import io.netty.handler.ssl.ApplicationProtocolConfig; @@ -81,6 +83,7 @@ import reactor.netty.Connection; import reactor.netty.DisposableChannel; import reactor.netty.DisposableServer; +import reactor.netty.NettyPipeline; import reactor.netty.http.HttpProtocol; import reactor.netty.http.server.HttpServer; import reactor.netty.http.server.HttpServerRequest; @@ -111,6 +114,11 @@ public class ReactorNetty4HttpServerTransport extends AbstractHttpServerTranspor private static final String SETTING_KEY_HTTP_NETTY_MAX_COMPOSITE_BUFFER_COMPONENTS = "http.netty.max_composite_buffer_components"; private static final ByteSizeValue MTU = new ByteSizeValue(Long.parseLong(System.getProperty("opensearch.net.mtu", "1500"))); + /** + * The size of the http content decompressor buffer that is going to be used for request body decompression. + */ + private static final int UNLIMITED_DECOMPRESSOR_BUFFER = 0; + /** * Configure the maximum length of the content of the HTTP/2.0 clear-text upgrade request. * By default the server will reject an upgrade request with non-empty content, @@ -307,6 +315,7 @@ protected HttpServerChannel bind(InetSocketAddress socketAddress) throws Excepti .runOn(sharedGroup.getLowLevelGroup()) .bindAddress(() -> socketAddress) .compress(true) + .doOnConnection(conn -> conn.addHandlerFirst(NettyPipeline.HttpDecompressor, createDecompressor())) .http2Settings(spec -> spec.maxHeaderListSize(maxHeaderSize.bytesAsInt()).maxConcurrentStreams(h2MaxConcurrentStreams)) .httpRequestDecoder( spec -> spec.maxChunkSize(maxChunkSize.bytesAsInt()) @@ -372,6 +381,7 @@ private Optional configureHttp3(InetSocketAddress socketAddress) thr .runOn(sharedGroup.getLowLevelGroup()) .bindAddress(() -> socketAddress) .compress(true) + .doOnConnection(conn -> conn.addHandlerFirst(NettyPipeline.HttpDecompressor, createDecompressor())) .httpRequestDecoder( spec -> spec.maxChunkSize(maxChunkSize.bytesAsInt()) .h2cMaxContentLength(h2cMaxContentLength.bytesAsInt()) @@ -495,6 +505,16 @@ public void serverAcceptedChannel(HttpChannel httpChannel) { super.serverAcceptedChannel(httpChannel); } + /** + * Extension point that allows a NetworkPlugin to override the default netty HttpContentDecompressor + * and supply a custom decompressor. + * + * Used in instances to conditionally decompress depending on the outcome from header verification. + */ + protected ChannelInboundHandlerAdapter createDecompressor() { + return new HttpContentDecompressor(UNLIMITED_DECOMPRESSOR_BUFFER); + } + /** * Handles incoming Reactor Netty request * From b99229e3f36694ed1864f16ddebd0012292d157c Mon Sep 17 00:00:00 2001 From: Dhanwani Date: Mon, 6 Jul 2026 16:33:02 +0530 Subject: [PATCH 87/94] Add cross-setting validator for balance factor sum constraint (#22391) Adds A Setting.Validator for both balance factor settings that validates the sum > 0 constraint before the settings enter cluster state, preventing the poison pill from being published. Fixes https://github.com/opensearch-project/OpenSearch/issues/22305 Signed-off-by: Abhishek Dhanwani --- .../allocator/BalancedShardsAllocator.java | 67 +++++++++++ .../BalancedShardsAllocatorSettingsTests.java | 110 ++++++++++++++++++ 2 files changed, 177 insertions(+) create mode 100644 server/src/test/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocatorSettingsTests.java diff --git a/server/src/main/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocator.java b/server/src/main/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocator.java index abddf1b17fce0..bdbbe726c5c6d 100644 --- a/server/src/main/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocator.java +++ b/server/src/main/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocator.java @@ -59,9 +59,11 @@ import org.opensearch.common.unit.TimeValue; import org.opensearch.core.action.ActionListener; +import java.util.Collections; import java.util.HashMap; import java.util.HashSet; import java.util.Iterator; +import java.util.List; import java.util.Locale; import java.util.Map; import java.util.Set; @@ -99,6 +101,8 @@ public class BalancedShardsAllocator implements ShardsAllocator { "cluster.routing.allocation.balance.index", 0.55f, 0.0f, + Float.MAX_VALUE, + new IndexBalanceFactorValidator(), Property.Dynamic, Property.NodeScope ); @@ -106,6 +110,8 @@ public class BalancedShardsAllocator implements ShardsAllocator { "cluster.routing.allocation.balance.shard", 0.45f, 0.0f, + Float.MAX_VALUE, + new ShardBalanceFactorValidator(), Property.Dynamic, Property.NodeScope ); @@ -518,6 +524,67 @@ public boolean getPreferPrimaryBalance() { return preferPrimaryShardBalance; } + /** + * Validates that the index balance factor, combined with the shard balance factor, sums to a value greater than zero. + * + * @opensearch.internal + */ + static final class IndexBalanceFactorValidator implements Setting.Validator { + + @Override + public void validate(Float value) {} + + @Override + public void validate(final Float value, final Map, Object> settings) { + final float shardBalance = (Float) settings.get(SHARD_BALANCE_FACTOR_SETTING); + doValidateBalanceFactorSum(value, shardBalance); + } + + @Override + public Iterator> settings() { + final List> settings = Collections.singletonList(SHARD_BALANCE_FACTOR_SETTING); + return settings.iterator(); + } + } + + /** + * Validates that the shard balance factor, combined with the index balance factor, sums to a value greater than zero. + * + * @opensearch.internal + */ + static final class ShardBalanceFactorValidator implements Setting.Validator { + + @Override + public void validate(Float value) {} + + @Override + public void validate(final Float value, final Map, Object> settings) { + final float indexBalance = (Float) settings.get(INDEX_BALANCE_FACTOR_SETTING); + doValidateBalanceFactorSum(indexBalance, value); + } + + @Override + public Iterator> settings() { + final List> settings = Collections.singletonList(INDEX_BALANCE_FACTOR_SETTING); + return settings.iterator(); + } + } + + static void doValidateBalanceFactorSum(float indexBalance, float shardBalance) { + float sum = indexBalance + shardBalance; + if (sum <= 0.0f) { + throw new IllegalArgumentException( + "Balance factors [" + + INDEX_BALANCE_FACTOR_SETTING.getKey() + + "] and [" + + SHARD_BALANCE_FACTOR_SETTING.getKey() + + "] must sum to a value greater than zero but was [" + + sum + + "]" + ); + } + } + /** * This class is the primary weight function used to create balanced over nodes and shards in the cluster. * Currently this function has 3 properties: diff --git a/server/src/test/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocatorSettingsTests.java b/server/src/test/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocatorSettingsTests.java new file mode 100644 index 0000000000000..af5364e225b58 --- /dev/null +++ b/server/src/test/java/org/opensearch/cluster/routing/allocation/allocator/BalancedShardsAllocatorSettingsTests.java @@ -0,0 +1,110 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.cluster.routing.allocation.allocator; + +import org.opensearch.common.settings.ClusterSettings; +import org.opensearch.common.settings.Settings; +import org.opensearch.test.OpenSearchTestCase; + +import static org.opensearch.cluster.routing.allocation.allocator.BalancedShardsAllocator.INDEX_BALANCE_FACTOR_SETTING; +import static org.opensearch.cluster.routing.allocation.allocator.BalancedShardsAllocator.SHARD_BALANCE_FACTOR_SETTING; + +public class BalancedShardsAllocatorSettingsTests extends OpenSearchTestCase { + + public void testBothBalanceFactorsZeroIsRejectedOnConstruction() { + final Settings settings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .build(); + final IllegalArgumentException e = expectThrows( + IllegalArgumentException.class, + () -> new BalancedShardsAllocator(settings, new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS)) + ); + assertThat(e.getMessage(), org.hamcrest.Matchers.containsString("must sum to a value greater than zero")); + } + + public void testBothBalanceFactorsZeroIsRejectedOnDynamicUpdate() { + final ClusterSettings clusterSettings = new ClusterSettings(Settings.EMPTY, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + new BalancedShardsAllocator(Settings.EMPTY, clusterSettings); + + final Settings newSettings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .build(); + + final IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> clusterSettings.applySettings(newSettings)); + assertThat(e.getMessage(), org.hamcrest.Matchers.containsString("illegal value can't update")); + assertNotNull(e.getCause()); + assertThat(e.getCause().getMessage(), org.hamcrest.Matchers.containsString("must sum to a value greater than zero")); + } + + public void testIndexBalanceZeroWithNonZeroShardBalanceIsAccepted() { + final Settings settings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "1.0") + .build(); + final ClusterSettings clusterSettings = new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + BalancedShardsAllocator allocator = new BalancedShardsAllocator(settings, clusterSettings); + assertEquals(0.0f, allocator.getIndexBalance(), 0.0f); + assertEquals(1.0f, allocator.getShardBalance(), 0.0f); + } + + public void testShardBalanceZeroWithNonZeroIndexBalanceIsAccepted() { + final Settings settings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "1.0") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .build(); + final ClusterSettings clusterSettings = new ClusterSettings(settings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + BalancedShardsAllocator allocator = new BalancedShardsAllocator(settings, clusterSettings); + assertEquals(1.0f, allocator.getIndexBalance(), 0.0f); + assertEquals(0.0f, allocator.getShardBalance(), 0.0f); + } + + public void testDynamicUpdateIndexBalanceToZeroWhileShardBalanceAlreadyZeroIsRejected() { + final Settings initialSettings = Settings.builder() + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "1.0") + .build(); + final ClusterSettings clusterSettings = new ClusterSettings(initialSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + new BalancedShardsAllocator(initialSettings, clusterSettings); + + final Settings newSettings = Settings.builder().put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.0").build(); + + final IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> clusterSettings.applySettings(newSettings)); + assertThat(e.getCause().getMessage(), org.hamcrest.Matchers.containsString("must sum to a value greater than zero")); + } + + public void testDynamicUpdateShardBalanceToZeroWhileIndexBalanceAlreadyZeroIsRejected() { + final Settings initialSettings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.0") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "1.0") + .build(); + final ClusterSettings clusterSettings = new ClusterSettings(initialSettings, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + new BalancedShardsAllocator(initialSettings, clusterSettings); + + final Settings newSettings = Settings.builder().put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.0").build(); + + final IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> clusterSettings.applySettings(newSettings)); + assertThat(e.getCause().getMessage(), org.hamcrest.Matchers.containsString("must sum to a value greater than zero")); + } + + public void testValidDynamicUpdateIsAccepted() { + final ClusterSettings clusterSettings = new ClusterSettings(Settings.EMPTY, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS); + BalancedShardsAllocator allocator = new BalancedShardsAllocator(Settings.EMPTY, clusterSettings); + + final Settings newSettings = Settings.builder() + .put(INDEX_BALANCE_FACTOR_SETTING.getKey(), "0.3") + .put(SHARD_BALANCE_FACTOR_SETTING.getKey(), "0.7") + .build(); + + clusterSettings.applySettings(newSettings); + assertEquals(0.3f, allocator.getIndexBalance(), 0.001f); + assertEquals(0.7f, allocator.getShardBalance(), 0.001f); + } +} From f2543691c50fafd9fe371131dff386447441d52f Mon Sep 17 00:00:00 2001 From: Sayali Gaikawad Date: Mon, 6 Jul 2026 15:53:11 -0700 Subject: [PATCH 88/94] Use github default token for releases (#22397) Signed-off-by: Sayali Gaikawad --- .github/workflows/auto-release.yml | 9 +-------- 1 file changed, 1 insertion(+), 8 deletions(-) diff --git a/.github/workflows/auto-release.yml b/.github/workflows/auto-release.yml index a9d75f0f7b4c1..432691c117344 100644 --- a/.github/workflows/auto-release.yml +++ b/.github/workflows/auto-release.yml @@ -9,21 +9,14 @@ jobs: build: runs-on: ubuntu-latest + if: github.repository == 'opensearch-project/OpenSearch' permissions: contents: write steps: - - name: GitHub App token - id: github_app_token - uses: tibdex/github-app-token@3beb63f4bd073e61482598c45c71c1019b59b73a # v2.1.0 - with: - app_id: ${{ secrets.APP_ID }} - private_key: ${{ secrets.APP_PRIVATE_KEY }} - installation_id: 22958780 - name: Get tag id: tag uses: dawidd6/action-get-tag@727a6f0a561be04e09013531e73a3983a65e3479 # v1 - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6 - uses: ncipollo/release-action@339a81892b84b4eeb0f6e744e4574d79d0d9b8dd # v1 with: - github_token: ${{ steps.github_app_token.outputs.token }} bodyFile: release-notes/opensearch.release-notes-${{steps.tag.outputs.tag}}.md From bcf120a19aba8aa25656f5dd2f1a1d2730aee603 Mon Sep 17 00:00:00 2001 From: Craig Perkins Date: Mon, 6 Jul 2026 20:51:16 -0400 Subject: [PATCH 89/94] Strengthen scroll_id validation (#22396) Signed-off-by: Craig Perkins --- .../action/search/TransportSearchHelper.java | 6 ++++- .../search/TransportSearchHelperTests.java | 22 +++++++++++++++++++ 2 files changed, 27 insertions(+), 1 deletion(-) diff --git a/server/src/main/java/org/opensearch/action/search/TransportSearchHelper.java b/server/src/main/java/org/opensearch/action/search/TransportSearchHelper.java index 779a0ac0c6590..4eeea9a40faec 100644 --- a/server/src/main/java/org/opensearch/action/search/TransportSearchHelper.java +++ b/server/src/main/java/org/opensearch/action/search/TransportSearchHelper.java @@ -113,7 +113,11 @@ static ParsedScrollId parseScrollId(String scrollId) { includeContextUUID = false; type = firstChunk; } - SearchContextIdForNode[] context = new SearchContextIdForNode[in.readVInt()]; + int count = in.readVInt(); + if (count < 0 || count > bytes.length) { + throw new IllegalArgumentException("Invalid scroll id"); + } + SearchContextIdForNode[] context = new SearchContextIdForNode[count]; for (int i = 0; i < context.length; ++i) { final String contextUUID = includeContextUUID ? in.readString() : ""; long id = in.readLong(); diff --git a/server/src/test/java/org/opensearch/action/search/TransportSearchHelperTests.java b/server/src/test/java/org/opensearch/action/search/TransportSearchHelperTests.java index 1668f2043fefd..6a583a0306a20 100644 --- a/server/src/test/java/org/opensearch/action/search/TransportSearchHelperTests.java +++ b/server/src/test/java/org/opensearch/action/search/TransportSearchHelperTests.java @@ -41,6 +41,9 @@ import org.opensearch.test.OpenSearchTestCase; import org.opensearch.test.VersionUtils; +import java.io.ByteArrayOutputStream; +import java.util.Base64; + import static org.hamcrest.Matchers.equalTo; public class TransportSearchHelperTests extends OpenSearchTestCase { @@ -92,4 +95,23 @@ public void testParseScrollId() { assertEquals(42, parseScrollId.getContext()[2].getSearchContextId().getId()); assertThat(parseScrollId.getContext()[2].getSearchContextId().getSessionId(), equalTo("c")); } + + public void testParseScrollIdRejectsOversizedCount() throws Exception { + // Craft a scroll_id with a varint-encoded count far exceeding the payload size. + // This would previously cause an OOM by allocating a huge array. + ByteArrayOutputStream baos = new ByteArrayOutputStream(); + // Write type string: length=1, char='q' (any valid type) + baos.write(1); // vint string length + baos.write('q'); + // Write a massive vint count (Integer.MAX_VALUE encoded as 5-byte varint) + baos.write(0xFF); + baos.write(0xFF); + baos.write(0xFF); + baos.write(0xFF); + baos.write(0x07); + String scrollId = Base64.getUrlEncoder().encodeToString(baos.toByteArray()); + + IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> TransportSearchHelper.parseScrollId(scrollId)); + assertEquals("Cannot parse scroll id", e.getMessage()); + } } From 830ff520331ea18626a3b6afbca53088ae0e22d2 Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Tue, 7 Jul 2026 15:10:58 +0530 Subject: [PATCH 90/94] Add rustfmt check to sandbox CI (#22369) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Apply `cargo fmt --all` across the sandbox native (Rust) workspace and wire a `cargo fmt --all -- --check` step into the sandbox-check GitHub Action so formatting regressions are caught in CI. Formatting uses rustfmt's default style (100-char width). No rustfmt.toml is added: rustfmt resolves config by walking up from each file's directory, and the workspace pulls in plugin crates from sibling paths (sandbox/plugins/...) that a config under dataformat-native/rust/ would not cover — so a width override there would apply only to the three lib crates and silently leave the plugin crates on the default. Relying on the default keeps every sandbox crate on one consistent style. The rustfmt component is added to the Rust toolchain setup and the format check runs before the build steps so it fails fast. Clippy enforcement will follow in a separate change. Signed-off-by: Arpit Bandejiya --- .github/workflows/sandbox-check.yml | 4 + .../rust/common/src/allocator.rs | 75 +- .../rust/common/src/error.rs | 6 +- .../dataformat-native/rust/common/src/lib.rs | 2 +- .../rust/common/src/memory_pool.rs | 30 +- .../common/tests/pool_backpressure_tests.rs | 52 +- .../dataformat-native/rust/lib/src/lib.rs | 4 +- .../tiered-storage/src/main/rust/src/ffm.rs | 21 +- .../src/main/rust/src/ffm_tests.rs | 12 +- .../main/rust/src/registry/tiered_registry.rs | 13 +- .../src/main/rust/src/tiered_object_store.rs | 68 +- .../rust/src/tiered_object_store_tests.rs | 230 +- .../rust/benches/cross_rt_throughput_bench.rs | 3 +- .../rust/benches/memory_budget_bench.rs | 3 +- .../rust/benches/memory_pressure_bench.rs | 89 +- .../rust/benches/row_id_bench.rs | 7 +- .../rust/src/agg_mode.rs | 53 +- .../rust/src/api.rs | 624 +++-- .../rust/src/cache/custom_cache_manager.rs | 339 ++- .../rust/src/cache/eviction_policy.rs | 8 +- .../rust/src/cache/metadata_cache.rs | 19 +- .../rust/src/cache/mod.rs | 9 +- .../rust/src/cache/page_index/cache_store.rs | 75 +- .../rust/src/cache/page_index/mod.rs | 20 +- .../src/cache/page_index/page_index_io.rs | 588 +++- .../rust/src/cache/statistics_cache.rs | 106 +- .../rust/src/cross_rt_stream.rs | 62 +- .../rust/src/datafusion_query_config.rs | 10 +- .../rust/src/executor.rs | 46 +- .../rust/src/ffm.rs | 301 +- .../rust/src/helper.rs | 15 +- .../rust/src/indexed_executor.rs | 428 +-- .../rust/src/indexed_table/bloom_pruner.rs | 24 +- .../rust/src/indexed_table/bool_tree.rs | 49 +- .../rust/src/indexed_table/dynamic_filter.rs | 17 +- .../src/indexed_table/dynamic_filter_probe.rs | 20 +- .../src/indexed_table/eval/bitmap_tree.rs | 287 +- .../src/indexed_table/eval/eval_helpers.rs | 3 +- .../indexed_table/eval/predicate_evaluator.rs | 50 +- .../indexed_table/eval/single_collector.rs | 183 +- .../rust/src/indexed_table/ffm_callbacks.rs | 14 +- .../rust/src/indexed_table/metrics.rs | 6 +- .../rust/src/indexed_table/mod.rs | 2 +- .../rust/src/indexed_table/page_pruner.rs | 198 +- .../rust/src/indexed_table/parquet_bridge.rs | 12 +- .../rust/src/indexed_table/partitioning.rs | 7 +- .../src/indexed_table/row_id_injection.rs | 56 +- .../rust/src/indexed_table/segment_info.rs | 4 +- .../rust/src/indexed_table/stream.rs | 73 +- .../src/indexed_table/substrait_to_tree.rs | 42 +- .../rust/src/indexed_table/table_provider.rs | 84 +- .../tests_e2e/constant_predicate.rs | 30 +- .../tests_e2e/dynamic_filter_pushdown.rs | 22 +- .../indexed_table/tests_e2e/fuzz/corpus.rs | 12 +- .../tests_e2e/fuzz/delegation.rs | 35 +- .../indexed_table/tests_e2e/fuzz/harness.rs | 71 +- .../indexed_table/tests_e2e/fuzz/tree_gen.rs | 12 +- .../rust/src/indexed_table/tests_e2e/mod.rs | 12 +- .../indexed_table/tests_e2e/multi_segment.rs | 490 +++- .../indexed_table/tests_e2e/null_columns.rs | 9 +- .../indexed_table/tests_e2e/page_pruning.rs | 9 +- .../tests_e2e/qtf_fetch_phase.rs | 29 +- .../tests_e2e/row_id_emission.rs | 103 +- .../tests_e2e/row_id_strategies.rs | 30 +- .../indexed_table/tests_e2e/schema_drift.rs | 35 +- .../tests_e2e/sort_reverse_row_id.rs | 79 +- .../tests_e2e/streaming_at_scale.rs | 24 +- .../rust/src/lib.rs | 16 +- .../rust/src/local_executor.rs | 65 +- .../rust/src/memory.rs | 36 +- .../rust/src/memory_guard.rs | 36 +- .../rust/src/partition_stream.rs | 8 +- .../rust/src/patterns/brain.rs | 16 +- .../rust/src/patterns/eval.rs | 44 +- .../rust/src/patterns/preprocess.rs | 11 +- .../rust/src/patterns/utils.rs | 29 +- .../rust/src/phantom_corrector.rs | 12 +- .../rust/src/project_row_id_analyzer.rs | 176 +- .../rust/src/project_row_id_optimizer.rs | 20 +- .../rust/src/query_budget.rs | 89 +- .../rust/src/query_executor.rs | 160 +- .../rust/src/query_tracker.rs | 55 +- .../rust/src/relabel_exec.rs | 21 +- .../rust/src/runtime_manager.rs | 4 +- .../rust/src/schema_coerce.rs | 57 +- .../rust/src/scoped_index_optimizer.rs | 86 +- .../rust/src/scoped_page_index_reader.rs | 30 +- .../rust/src/search_stats.rs | 11 +- .../rust/src/session_context.rs | 272 +- .../rust/src/shard_table_provider.rs | 32 +- .../rust/src/stats.rs | 41 +- .../rust/src/task_monitors.rs | 16 +- .../src/tiered_storage_integration_tests.rs | 1006 +++++-- .../rust/src/udaf/approx_distinct_safe.rs | 11 +- .../rust/src/udaf/internal_pattern.rs | 46 +- .../rust/src/udaf/list_merge.rs | 47 +- .../rust/src/udaf/os_count_distinct.rs | 25 +- .../rust/src/udaf/take.rs | 41 +- .../rust/src/udf/binary_to_base64.rs | 35 +- .../rust/src/udf/conv.rs | 9 +- .../src/udf/conversion/numeric_conversion.rs | 75 +- .../src/udf/conversion/time_conversion.rs | 59 +- .../rust/src/udf/conversion/tonumber.rs | 16 +- .../rust/src/udf/conversion/tostring.rs | 28 +- .../rust/src/udf/convert_tz.rs | 66 +- .../rust/src/udf/crc32.rs | 9 +- .../rust/src/udf/date_format.rs | 22 +- .../rust/src/udf/extract.rs | 48 +- .../rust/src/udf/from_unixtime.rs | 13 +- .../rust/src/udf/grok.rs | 33 +- .../rust/src/udf/ip_to_string.rs | 40 +- .../rust/src/udf/item.rs | 49 +- .../rust/src/udf/json.rs | 9 +- .../rust/src/udf/json_append.rs | 10 +- .../rust/src/udf/json_array.rs | 48 +- .../rust/src/udf/json_array_length.rs | 10 +- .../rust/src/udf/json_common.rs | 21 +- .../rust/src/udf/json_delete.rs | 10 +- .../rust/src/udf/json_extend.rs | 10 +- .../rust/src/udf/json_extract.rs | 6 +- .../rust/src/udf/json_extract_all.rs | 4 +- .../rust/src/udf/json_keys.rs | 15 +- .../rust/src/udf/json_object.rs | 21 +- .../rust/src/udf/json_set.rs | 10 +- .../rust/src/udf/json_valid.rs | 5 +- .../rust/src/udf/makedate.rs | 14 +- .../rust/src/udf/maketime.rs | 10 +- .../rust/src/udf/minspan_bucket.rs | 62 +- .../rust/src/udf/mod.rs | 9 +- .../rust/src/udf/mvappend.rs | 62 +- .../rust/src/udf/mvfind.rs | 71 +- .../rust/src/udf/mvzip.rs | 35 +- .../rust/src/udf/os_strftime.rs | 237 +- .../rust/src/udf/os_week.rs | 82 +- .../rust/src/udf/parse.rs | 54 +- .../rust/src/udf/pattern_parser.rs | 34 +- .../rust/src/udf/range_bucket.rs | 30 +- .../rust/src/udf/reduce_eval.rs | 61 +- .../rust/src/udf/rex_extract.rs | 61 +- .../rust/src/udf/rex_extract_multi.rs | 89 +- .../rust/src/udf/rex_offset.rs | 29 +- .../rust/src/udf/sha1.rs | 9 +- .../rust/src/udf/span_bucket.rs | 21 +- .../rust/src/udf/str_to_date.rs | 27 +- .../rust/src/udf/strftime.rs | 234 +- .../rust/src/udf/time_format.rs | 1 - .../rust/src/udf/width_bucket.rs | 34 +- .../rust/src/udwf/internal_pattern.rs | 52 +- .../rust/tests/budget_accuracy_test.rs | 123 +- .../rust/tests/stringview_gc_test.rs | 12 +- .../src/main/rust/src/foyer/ffm.rs | 58 +- .../src/main/rust/src/foyer/foyer_cache.rs | 259 +- .../src/main/rust/src/foyer/mod.rs | 2 +- .../src/main/rust/src/key_index_store.rs | 88 +- .../src/main/rust/src/lib.rs | 6 +- .../src/main/rust/src/range_cache.rs | 7 +- .../src/main/rust/src/tests.rs | 2472 +++++++++++++---- .../src/main/rust/src/tiered_block_cache.rs | 15 +- .../src/main/rust/src/traits.rs | 8 +- .../src/main/rust/src/azure.rs | 12 +- .../src/main/rust/src/lib.rs | 13 +- .../src/main/rust/src/fs.rs | 32 +- .../src/main/rust/src/lib.rs | 11 +- .../src/main/rust/src/gcs.rs | 18 +- .../src/main/rust/src/lib.rs | 13 +- .../src/main/rust/src/lib.rs | 9 +- .../src/main/rust/src/s3.rs | 63 +- .../rust/benches/merge_projection_bench.rs | 50 +- .../src/main/rust/src/crc_writer.rs | 4 +- .../src/main/rust/src/ffm.rs | 420 ++- .../src/main/rust/src/field_config.rs | 5 +- .../src/main/rust/src/lib.rs | 16 +- .../src/main/rust/src/merge/context.rs | 39 +- .../src/main/rust/src/merge/cursor.rs | 168 +- .../src/main/rust/src/merge/heap.rs | 62 +- .../src/main/rust/src/merge/io_task.rs | 14 +- .../src/main/rust/src/merge/schema.rs | 18 +- .../src/main/rust/src/merge/sorted.rs | 34 +- .../src/main/rust/src/merge/unsorted.rs | 30 +- .../src/main/rust/src/native_settings.rs | 22 +- .../src/main/rust/src/rate_limited_writer.rs | 2 - .../src/main/rust/src/test_utils.rs | 43 +- .../src/main/rust/src/tests/mod.rs | 1786 ++++++++---- .../src/main/rust/src/writer.rs | 258 +- .../rust/src/writer_properties_builder.rs | 782 ++++-- .../rust/tests/merge_integration_tests.rs | 1296 ++++++--- .../src/main/rust/tests/sort_types_tests.rs | 761 +++-- .../rust/tests/writer_integration_tests.rs | 405 ++- 188 files changed, 13842 insertions(+), 5567 deletions(-) diff --git a/.github/workflows/sandbox-check.yml b/.github/workflows/sandbox-check.yml index edafd1ccbcded..28f6a4e8ab63c 100644 --- a/.github/workflows/sandbox-check.yml +++ b/.github/workflows/sandbox-check.yml @@ -34,6 +34,10 @@ jobs: cache: gradle - name: Set up Rust uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable + with: + components: rustfmt + - name: Check Rust formatting + run: cargo fmt --all --manifest-path sandbox/libs/dataformat-native/rust/Cargo.toml -- --check - name: Install protobuf compiler run: sudo apt-get update && sudo apt-get install -y protobuf-compiler - name: Cache Cargo registry diff --git a/sandbox/libs/dataformat-native/rust/common/src/allocator.rs b/sandbox/libs/dataformat-native/rust/common/src/allocator.rs index 1b1d091699183..79af1910843c0 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/allocator.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/allocator.rs @@ -36,9 +36,17 @@ fn mib() -> &'static StatsMib { /// Advances the jemalloc epoch and reads both stats atomically. fn refresh_stats() -> Result<(i64, i64), String> { let m = mib(); - m.epoch.advance().map_err(|e| format!("jemalloc epoch advance failed: {}", e))?; - let alloc = m.allocated.read().map_err(|e| format!("jemalloc allocated read failed: {}", e))? as i64; - let res = m.resident.read().map_err(|e| format!("jemalloc resident read failed: {}", e))? as i64; + m.epoch + .advance() + .map_err(|e| format!("jemalloc epoch advance failed: {}", e))?; + let alloc = m + .allocated + .read() + .map_err(|e| format!("jemalloc allocated read failed: {}", e))? as i64; + let res = m + .resident + .read() + .map_err(|e| format!("jemalloc resident read failed: {}", e))? as i64; Ok((alloc, res)) } @@ -69,27 +77,35 @@ pub fn resident_bytes() -> i64 { /// FFI: Returns current jemalloc allocated bytes, or negative error pointer. #[no_mangle] pub extern "C" fn native_jemalloc_allocated_bytes() -> i64 { - ffm_wrap("native_jemalloc_allocated_bytes", || refresh_stats().map(|(alloc, _)| alloc)) + ffm_wrap("native_jemalloc_allocated_bytes", || { + refresh_stats().map(|(alloc, _)| alloc) + }) } /// FFI: Returns current jemalloc resident bytes, or negative error pointer. #[no_mangle] pub extern "C" fn native_jemalloc_resident_bytes() -> i64 { - ffm_wrap("native_jemalloc_resident_bytes", || refresh_stats().map(|(_, res)| res)) + ffm_wrap("native_jemalloc_resident_bytes", || { + refresh_stats().map(|(_, res)| res) + }) } /// FFI: Sets dirty_decay_ms for all arenas at runtime. Returns 0 on success, negative error pointer on failure. /// Called from Java when the cluster setting `native.jemalloc.dirty_decay_ms` changes. #[no_mangle] pub extern "C" fn native_jemalloc_set_dirty_decay_ms(ms: i64) -> i64 { - ffm_wrap("native_jemalloc_set_dirty_decay_ms", || set_all_arenas(b"dirty_decay_ms\0", ms)) + ffm_wrap("native_jemalloc_set_dirty_decay_ms", || { + set_all_arenas(b"dirty_decay_ms\0", ms) + }) } /// FFI: Sets muzzy_decay_ms for all arenas at runtime. Returns 0 on success, negative error pointer on failure. /// Called from Java when the cluster setting `native.jemalloc.muzzy_decay_ms` changes. #[no_mangle] pub extern "C" fn native_jemalloc_set_muzzy_decay_ms(ms: i64) -> i64 { - ffm_wrap("native_jemalloc_set_muzzy_decay_ms", || set_all_arenas(b"muzzy_decay_ms\0", ms)) + ffm_wrap("native_jemalloc_set_muzzy_decay_ms", || { + set_all_arenas(b"muzzy_decay_ms\0", ms) + }) } /// Applies a setting to all existing jemalloc arenas. @@ -196,7 +212,10 @@ fn purge_thread_loop() { /// Called once from Java at node startup (NativeBridgeModule.createComponents). /// Safe to call multiple times — only the first call spawns the thread. #[no_mangle] -pub extern "C" fn native_jemalloc_start_purge_thread(threshold_bytes: i64, interval_ms: i64) -> i64 { +pub extern "C" fn native_jemalloc_start_purge_thread( + threshold_bytes: i64, + interval_ms: i64, +) -> i64 { PURGE_THRESHOLD_BYTES.store(threshold_bytes, Ordering::Relaxed); PURGE_INTERVAL_MS.store(interval_ms as u64, Ordering::Relaxed); start_purge_thread().unpark(); @@ -238,7 +257,6 @@ pub extern "C" fn native_jemalloc_get_purge_count() -> i64 { PURGE_COUNT.load(Ordering::Relaxed) as i64 } - // ── Heap profiling ────────────────────────────────────────────────────────── // // Requires the process to be started with `_RJEM_MALLOC_CONF=prof:true,...` @@ -280,9 +298,12 @@ pub unsafe extern "C" fn native_jemalloc_heap_prof_dump(path: *const std::ffi::c let c_str = std::ffi::CStr::from_ptr(path); let path_bytes = c_str.to_bytes_with_nul(); // prof.dump expects a *const c_char pointing to the file path - tikv_jemalloc_ctl::raw::write(b"prof.dump\0", path_bytes.as_ptr() as *const std::ffi::c_char) - .map(|_| 0i64) - .map_err(|e| format!("failed to dump heap profile: {}", e)) + tikv_jemalloc_ctl::raw::write( + b"prof.dump\0", + path_bytes.as_ptr() as *const std::ffi::c_char, + ) + .map(|_| 0i64) + .map_err(|e| format!("failed to dump heap profile: {}", e)) }) } @@ -296,7 +317,12 @@ pub extern "C" fn native_jemalloc_heap_prof_reset(lg_sample: usize) -> i64 { ffm_wrap("native_jemalloc_heap_prof_reset", || { unsafe { tikv_jemalloc_ctl::raw::write(b"prof.reset\0", lg_sample) } .map(|_| 0i64) - .map_err(|e| format!("failed to reset profiling with lg_sample={}: {}", lg_sample, e)) + .map_err(|e| { + format!( + "failed to reset profiling with lg_sample={}: {}", + lg_sample, e + ) + }) }) } @@ -370,7 +396,11 @@ mod tests { #[test] fn heap_prof_dump_null_path_returns_error() { let rc = unsafe { native_jemalloc_heap_prof_dump(std::ptr::null()) }; - assert!(rc < 0, "expected negative error pointer for null path, got {}", rc); + assert!( + rc < 0, + "expected negative error pointer for null path, got {}", + rc + ); } #[test] @@ -379,7 +409,10 @@ mod tests { native_jemalloc_start_purge_thread(0, 50); let before = native_jemalloc_get_purge_count(); std::thread::sleep(Duration::from_millis(200)); - assert!(native_jemalloc_get_purge_count() > before, "purge thread should have fired"); + assert!( + native_jemalloc_get_purge_count() > before, + "purge thread should have fired" + ); } #[test] @@ -391,7 +424,11 @@ mod tests { std::thread::sleep(Duration::from_millis(100)); let before = native_jemalloc_get_purge_count(); std::thread::sleep(Duration::from_millis(200)); - assert_eq!(native_jemalloc_get_purge_count(), before, "no purges when paused"); + assert_eq!( + native_jemalloc_get_purge_count(), + before, + "no purges when paused" + ); // Resume native_jemalloc_set_purge_interval(50); } @@ -402,7 +439,11 @@ mod tests { native_jemalloc_start_purge_thread(i64::MAX, 50); let before = native_jemalloc_get_purge_count(); std::thread::sleep(Duration::from_millis(200)); - assert_eq!(native_jemalloc_get_purge_count(), before, "no purge when below threshold"); + assert_eq!( + native_jemalloc_get_purge_count(), + before, + "no purge when below threshold" + ); // Restore for other tests native_jemalloc_set_purge_threshold(0); } diff --git a/sandbox/libs/dataformat-native/rust/common/src/error.rs b/sandbox/libs/dataformat-native/rust/common/src/error.rs index ec30f053654a0..8e1375cf85446 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/error.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/error.rs @@ -18,7 +18,8 @@ use std::os::raw::c_char; /// Heap-allocate the error message and return its pointer as a negative i64. pub fn into_error_ptr(msg: String) -> i64 { - let c = CString::new(msg).unwrap_or_else(|_| CString::new("error contained null byte").unwrap()); + let c = + CString::new(msg).unwrap_or_else(|_| CString::new("error contained null byte").unwrap()); let ptr = c.into_raw(); -(ptr as i64) } @@ -64,7 +65,8 @@ pub unsafe extern "C" fn native_error_free(ptr: i64) { #[no_mangle] pub unsafe extern "C" fn native_test_panic(msg_ptr: *const u8, msg_len: i64) -> i64 { match ::std::panic::catch_unwind(::std::panic::AssertUnwindSafe(|| -> Result { - let msg = std::str::from_utf8_unchecked(std::slice::from_raw_parts(msg_ptr, msg_len as usize)); + let msg = + std::str::from_utf8_unchecked(std::slice::from_raw_parts(msg_ptr, msg_len as usize)); panic!("{}", msg); })) { Ok(Ok(v)) => v, diff --git a/sandbox/libs/dataformat-native/rust/common/src/lib.rs b/sandbox/libs/dataformat-native/rust/common/src/lib.rs index 97022e52c17d2..c26409d0d8f97 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/lib.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/lib.rs @@ -8,10 +8,10 @@ //! Shared Rust utilities for OpenSearch sandbox native plugins. +pub mod allocator; pub mod error; pub mod io_runtime; pub mod logger; -pub mod allocator; pub mod memory_pool; // Re-export the proc macro so plugins use `#[native_bridge_common::ffm_safe]` diff --git a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs index 41ba3c3853574..6fcbdf2ae94ab 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/memory_pool.rs @@ -15,10 +15,10 @@ //! `MemoryReservation` is an RAII handle that automatically returns memory to the //! pool on drop, preventing leaks even on error paths. +use std::fmt; use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Condvar, Mutex, OnceLock}; use std::time::Duration; -use std::fmt; /// Default timeout for blocking wait (300 seconds). pub const DEFAULT_WAIT_TIMEOUT: Duration = Duration::from_secs(300); @@ -166,14 +166,16 @@ impl MemoryPool { return Ok(()); } let limit = self.limit.load(Ordering::Relaxed); - let result = self.used.fetch_update(Ordering::Relaxed, Ordering::Relaxed, |used| { - let new_used = used.checked_add(bytes)?; - if limit > 0 && new_used > limit { - None - } else { - Some(new_used) - } - }); + let result = self + .used + .fetch_update(Ordering::Relaxed, Ordering::Relaxed, |used| { + let new_used = used.checked_add(bytes)?; + if limit > 0 && new_used > limit { + None + } else { + Some(new_used) + } + }); match result { Ok(old) => { @@ -215,7 +217,10 @@ impl MemoryPool { let remaining = timeout - elapsed; let guard = self.notify_lock.lock().unwrap(); - let _ = self.notify.wait_timeout(guard, remaining.min(Duration::from_secs(1))).unwrap(); + let _ = self + .notify + .wait_timeout(guard, remaining.min(Duration::from_secs(1))) + .unwrap(); if self.try_grow(bytes).is_ok() { return Ok(()); @@ -365,7 +370,10 @@ impl MemoryReservation { } /// Reserve an estimated amount. Returns the estimated amount for later use with `reconcile()`. - pub fn reserve_estimated(&mut self, estimated: usize) -> Result> { + pub fn reserve_estimated( + &mut self, + estimated: usize, + ) -> Result> { self.request(estimated)?; Ok(estimated) } diff --git a/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs b/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs index 76d9c05e03211..4a9c269e1b8b8 100644 --- a/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs +++ b/sandbox/libs/dataformat-native/rust/common/tests/pool_backpressure_tests.rs @@ -53,11 +53,8 @@ fn test_request_waits_and_succeeds() { let pool = Arc::new(MemoryPool::new("test", 10_000)); // Blocker fills pool - let mut blocker = MemoryReservation::new( - &pool, - "blocker", - PoolBehavior::Wait(Duration::from_secs(1)), - ); + let mut blocker = + MemoryReservation::new(&pool, "blocker", PoolBehavior::Wait(Duration::from_secs(1))); blocker.grow(9_500); assert_eq!(pool.used(), 9_500); @@ -69,11 +66,8 @@ fn test_request_waits_and_succeeds() { }); // Writer requests — should block then succeed after space is freed - let mut writer = MemoryReservation::new( - &pool, - "writer", - PoolBehavior::Wait(Duration::from_secs(5)), - ); + let mut writer = + MemoryReservation::new(&pool, "writer", PoolBehavior::Wait(Duration::from_secs(5))); let start = Instant::now(); let result = writer.request(5_000); let elapsed = start.elapsed(); @@ -100,18 +94,12 @@ fn test_request_waits_and_succeeds() { fn test_request_waits_and_times_out() { let pool = Arc::new(MemoryPool::new("test", 1_000)); - let mut blocker = MemoryReservation::new( - &pool, - "blocker", - PoolBehavior::Wait(Duration::from_secs(1)), - ); + let mut blocker = + MemoryReservation::new(&pool, "blocker", PoolBehavior::Wait(Duration::from_secs(1))); blocker.grow(999); - let mut writer = MemoryReservation::new( - &pool, - "writer", - PoolBehavior::Wait(Duration::from_secs(2)), - ); + let mut writer = + MemoryReservation::new(&pool, "writer", PoolBehavior::Wait(Duration::from_secs(2))); let start = Instant::now(); let result = writer.request(500); @@ -144,11 +132,8 @@ fn test_no_deadlock_two_requesters_same_pool() { // Thread 1: grabs 3000, holds for 500ms, releases s.spawn(move || { - let mut r = MemoryReservation::new( - &p1, - "t1", - PoolBehavior::Wait(Duration::from_secs(10)), - ); + let mut r = + MemoryReservation::new(&p1, "t1", PoolBehavior::Wait(Duration::from_secs(10))); r.request(3_000).expect("t1 request should succeed"); std::thread::sleep(Duration::from_millis(500)); r.shrink(3_000); @@ -157,13 +142,11 @@ fn test_no_deadlock_two_requesters_same_pool() { // Thread 2: waits 100ms (ensure t1 gets in first), then requests 3000 s.spawn(move || { std::thread::sleep(Duration::from_millis(100)); - let mut r = MemoryReservation::new( - &p2, - "t2", - PoolBehavior::Wait(Duration::from_secs(10)), - ); + let mut r = + MemoryReservation::new(&p2, "t2", PoolBehavior::Wait(Duration::from_secs(10))); // This blocks until t1 releases (pool: 3000/5000, needs 3000 more = 6000 > 5000) - r.request(3_000).expect("t2 request should succeed after t1 releases"); + r.request(3_000) + .expect("t2 request should succeed after t1 releases"); r.shrink(3_000); }); }); @@ -185,11 +168,8 @@ fn test_reservation_drop_frees_all_on_partial_failure() { let pool = Arc::new(MemoryPool::new("test", 10_000)); { - let mut reservation = MemoryReservation::new( - &pool, - "res", - PoolBehavior::Wait(Duration::from_secs(1)), - ); + let mut reservation = + MemoryReservation::new(&pool, "res", PoolBehavior::Wait(Duration::from_secs(1))); // First allocation succeeds let r1 = reservation.request(3_000); diff --git a/sandbox/libs/dataformat-native/rust/lib/src/lib.rs b/sandbox/libs/dataformat-native/rust/lib/src/lib.rs index 29e59e9e025bc..03bfa9b990714 100644 --- a/sandbox/libs/dataformat-native/rust/lib/src/lib.rs +++ b/sandbox/libs/dataformat-native/rust/lib/src/lib.rs @@ -45,8 +45,8 @@ static GLOBAL: tikv_jemallocator::Jemalloc = tikv_jemallocator::Jemalloc; extern crate native_bridge_common; extern crate opensearch_datafusion; extern crate opensearch_parquet_format; -extern crate opensearch_repository_s3; -extern crate opensearch_repository_gcs; extern crate opensearch_repository_azure; extern crate opensearch_repository_fs; +extern crate opensearch_repository_gcs; +extern crate opensearch_repository_s3; extern crate opensearch_tiered_storage; diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs b/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs index 12aa7bba567a6..2d65e61cdb3d2 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/ffm.rs @@ -20,8 +20,8 @@ use object_store::ObjectStore; use opensearch_block_cache::traits::BlockCache; -use crate::registry::TieredStorageRegistry; use crate::registry::FileRegistry; +use crate::registry::TieredStorageRegistry; use crate::tiered_object_store::{MetadataCachingStore, TieredObjectStore}; use crate::types::FileLocation; @@ -132,7 +132,8 @@ pub extern "C" fn ts_get_object_store_box_ptr(tiered_store_ptr: i64) -> i64 { } // Increment strong count so we don't consume the original Arc unsafe { Arc::increment_strong_count(tiered_store_ptr as *const TieredObjectStore) }; - let arc: Arc = unsafe { Arc::from_raw(tiered_store_ptr as *const TieredObjectStore) }; + let arc: Arc = + unsafe { Arc::from_raw(tiered_store_ptr as *const TieredObjectStore) }; // Coerce to MetadataCachingStore trait object and box it let boxed: Box> = Box::new(arc as Arc); let ptr = Box::into_raw(boxed) as i64; @@ -202,7 +203,9 @@ pub extern "C" fn ts_register_files( if lines.len() < expected { return Err(format!( "ts_register_files: expected {} lines ({}*3) but got {}", - expected, count, lines.len() + expected, + count, + lines.len() )); } @@ -223,18 +226,18 @@ pub extern "C" fn ts_register_files( registry.register(path, entry); } - native_bridge_common::log_debug!("ffm: ts_register_files count={}, location={}", count, file_location); + native_bridge_common::log_debug!( + "ffm: ts_register_files count={}, location={}", + count, + file_location + ); Ok(0) } /// Remove a file from the registry. #[ffm_safe] #[no_mangle] -pub extern "C" fn ts_remove_file( - store_ptr: i64, - path_ptr: *const u8, - path_len: i64, -) -> i64 { +pub extern "C" fn ts_remove_file(store_ptr: i64, path_ptr: *const u8, path_len: i64) -> i64 { let store = unsafe { arc_from_ptr(store_ptr) }?; let path = unsafe { str_from_raw(path_ptr, path_len) } .map_err(|e| format!("ts_remove_file path: {}", e))?; diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/ffm_tests.rs b/sandbox/libs/tiered-storage/src/main/rust/src/ffm_tests.rs index b9726074fda1a..766945736d510 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/ffm_tests.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/ffm_tests.rs @@ -143,16 +143,20 @@ fn test_create_with_zero_cache_ptr_creates_uncached_store() { /// without consuming the Box — two stores can share the same cache pointer. #[test] fn test_create_with_cache_does_not_consume_pointer() { + use bytes::Bytes; use opensearch_block_cache::range_cache::CacheKey; use opensearch_block_cache::traits::BlockCache; - use bytes::Bytes; // Minimal no-op cache used only to construct a valid Box> pointer. struct NoopCache; impl BlockCache for NoopCache { - fn as_any(&self) -> &dyn std::any::Any { self } - fn get<'a>(&'a self, _key: &'a CacheKey) - -> std::pin::Pin> + Send + 'a>> + fn as_any(&self) -> &dyn std::any::Any { + self + } + fn get<'a>( + &'a self, + _key: &'a CacheKey, + ) -> std::pin::Pin> + Send + 'a>> { Box::pin(std::future::ready(None)) } diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/registry/tiered_registry.rs b/sandbox/libs/tiered-storage/src/main/rust/src/registry/tiered_registry.rs index 991763555942c..9300ff49d7e7d 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/registry/tiered_registry.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/registry/tiered_registry.rs @@ -164,8 +164,7 @@ impl FileRegistry for TieredStorageRegistry { let before = self.files.len(); self.files.retain(|key, _| { // Check both with and without leading "/" since callers may pass either form - valid_keys.contains(key.as_str()) - || valid_keys.contains(&format!("/{}", key)) + valid_keys.contains(key.as_str()) || valid_keys.contains(&format!("/{}", key)) }); let removed = before.saturating_sub(self.files.len()); if removed > 0 { @@ -202,17 +201,11 @@ mod tests { } fn remote_entry() -> TieredFileEntry { - TieredFileEntry::new( - FileLocation::Remote, - Some(Arc::from("remote/a.parquet")), - ) + TieredFileEntry::new(FileLocation::Remote, Some(Arc::from("remote/a.parquet"))) } fn both_entry() -> TieredFileEntry { - TieredFileEntry::new( - FileLocation::Remote, - Some(Arc::from("remote/a.parquet")), - ) + TieredFileEntry::new(FileLocation::Remote, Some(Arc::from("remote/a.parquet"))) } // -- Register ----------------------------------------------------------- diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs index 19aaf3349b2bc..e6e88d78322aa 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store.rs @@ -59,12 +59,7 @@ pub trait MetadataCachingStore: ObjectStore { /// Promote `data` ranges to the never-evict metadata tier. /// /// Default: no-op. - fn put_metadata( - &self, - _path: &str, - _ranges: &[std::ops::Range], - _data: &[Bytes], - ) {} + fn put_metadata(&self, _path: &str, _ranges: &[std::ops::Range], _data: &[Bytes]) {} } // --------------------------------------------------------------------------- @@ -106,7 +101,11 @@ impl TieredObjectStore { /// Set the remote store (once). Subsequent calls are ignored. pub fn set_remote(&self, store: Arc) { let was_set = self.remote.set(store).is_err(); - native_bridge_common::log_debug!("[warm-tier] set_remote wired={} (already_set={})", !was_set, was_set); + native_bridge_common::log_debug!( + "[warm-tier] set_remote wired={} (already_set={})", + !was_set, + was_set + ); } /// Attach a block cache. Hot nodes skip this; `None` means no caching. @@ -229,7 +228,11 @@ impl TieredObjectStore { match range { GetRange::Bounded(r) => Some((r.start, r.end)), GetRange::Suffix(n) => { - let file_size = self.registry.get(path_str).map(|g| g.size()).filter(|&s| s > 0); + let file_size = self + .registry + .get(path_str) + .map(|g| g.size()) + .filter(|&s| s > 0); match file_size { Some(size) => Some((size.saturating_sub(*n), size)), None => { @@ -242,7 +245,11 @@ impl TieredObjectStore { } } GetRange::Offset(o) => { - let file_size = self.registry.get(path_str).map(|g| g.size()).filter(|&s| s > 0); + let file_size = self + .registry + .get(path_str) + .map(|g| g.size()) + .filter(|&s| s > 0); match file_size { Some(size) => Some((*o, size)), None => { @@ -276,7 +283,11 @@ impl TieredObjectStore { /// Checks if a local read error is NotFound and the file has since transitioned /// to REMOTE in the registry (e.g., afterSyncToRemote deleted the local copy). /// Returns the remote path + store if retry is possible, None otherwise. - fn should_retry_remote(&self, path_str: &str, err: &object_store::Error) -> Option<(Path, Arc)> { + fn should_retry_remote( + &self, + path_str: &str, + err: &object_store::Error, + ) -> Option<(Path, Arc)> { if matches!(err, object_store::Error::NotFound { .. }) { let resolved = self.resolve_remote(path_str); if resolved.is_some() { @@ -294,7 +305,11 @@ impl TieredObjectStore { /// Fast-path head response from registry or directory existence check. /// Returns `Some(GetResult)` if the head can be answered without I/O, /// `None` if the caller should fall through to the normal get_opts path. - fn try_head_from_registry(&self, location: &Path, path_str: &str) -> Option> { + fn try_head_from_registry( + &self, + location: &Path, + path_str: &str, + ) -> Option> { // Check registry for cached file size if let Some(guard) = self.registry.get(path_str) { let size = guard.size(); @@ -355,9 +370,7 @@ impl TieredObjectStore { let (start, end) = self.resolve_range(path_str, range)?; let key = range_cache_key(path_str, start, end); let cached = cache.get(&key).await?; - let file_size = self.registry.get(path_str) - .map(|g| g.size()) - .unwrap_or(end); + let file_size = self.registry.get(path_str).map(|g| g.size()).unwrap_or(end); let meta = ObjectMeta { location: location.clone(), last_modified: chrono::DateTime::::default(), @@ -455,8 +468,9 @@ impl TieredObjectStore { slots: &mut Vec>, ) { if let Some(ref cache) = self.cache { - for (fetched_bytes, (&slot_i, miss_range)) in - fetched.iter().zip(miss_indices.iter().zip(miss_ranges.iter())) + for (fetched_bytes, (&slot_i, miss_range)) in fetched + .iter() + .zip(miss_indices.iter().zip(miss_ranges.iter())) { let key = range_cache_key(path_str, miss_range.start, miss_range.end); cache.put(&key, fetched_bytes.clone()); @@ -481,7 +495,12 @@ impl fmt::Debug for TieredObjectStore { impl fmt::Display for TieredObjectStore { fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { - write!(f, "TieredObjectStore(files={}, cache={})", self.registry.len(), self.cache.is_some()) + write!( + f, + "TieredObjectStore(files={}, cache={})", + self.registry.len(), + self.cache.is_some() + ) } } @@ -560,7 +579,10 @@ impl ObjectStore for TieredObjectStore { // On miss: fetches from S3/local, then populates data Foyer via put() // so repeated reads hit cache. if let Some(ref get_range) = options.range { - if let Some(result) = self.try_serve_from_cache(path_str, location, get_range).await { + if let Some(result) = self + .try_serve_from_cache(path_str, location, get_range) + .await + { return result; } } @@ -611,9 +633,7 @@ impl ObjectStore for TieredObjectStore { let bytes = get_result.bytes().await?; let key = range_cache_key(path_str, start, end); cache.put(&key, bytes.clone()); - let file_size = self.registry.get(path_str) - .map(|g| g.size()) - .unwrap_or(end); + let file_size = self.registry.get(path_str).map(|g| g.size()).unwrap_or(end); let meta = ObjectMeta { location: location.clone(), last_modified: chrono::DateTime::::default(), @@ -651,7 +671,11 @@ impl ObjectStore for TieredObjectStore { let fetched = self.fetch_misses(location, path_str, &miss_ranges).await?; self.populate_cache_and_reassemble( - path_str, &fetched, &miss_indices, &miss_ranges, &mut slots, + path_str, + &fetched, + &miss_indices, + &miss_ranges, + &mut slots, ); Ok(slots.into_iter().map(|o| o.unwrap()).collect()) diff --git a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs index 60de8555402b9..480d4cab12b33 100644 --- a/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs +++ b/sandbox/libs/tiered-storage/src/main/rust/src/tiered_object_store_tests.rs @@ -639,10 +639,12 @@ impl ObjectStore for ErrorStore { &self, locations: BoxStream<'static, OsResult>, ) -> BoxStream<'static, OsResult> { - Box::pin(locations.map(|_| Err(object_store::Error::Generic { - store: "ErrorStore", - source: "simulated error".into(), - }))) + Box::pin(locations.map(|_| { + Err(object_store::Error::Generic { + store: "ErrorStore", + source: "simulated error".into(), + }) + })) } fn list(&self, _prefix: Option<&Path>) -> BoxStream<'static, OsResult> { @@ -696,11 +698,7 @@ fn test_register_file_remote_without_remote_path_returns_err() { let registry = Arc::new(TieredStorageRegistry::new()); let local = Arc::new(InMemory::new()); let tiered = TieredObjectStore::new(registry, local as _); - let result = tiered.register_file( - "/a.parquet", - FileLocation::Remote, - None, - ); + let result = tiered.register_file("/a.parquet", FileLocation::Remote, None); assert!(result.is_err()); } @@ -904,7 +902,11 @@ async fn test_head_directory_path_returns_synthetic_when_registry_has_entries() let (registry, _local, _remote, tiered) = setup(); // Register a file so registry is non-empty - let entry = TieredFileEntry::with_size(FileLocation::Remote, Some(Arc::from("remote/a.parquet")), 1024); + let entry = TieredFileEntry::with_size( + FileLocation::Remote, + Some(Arc::from("remote/a.parquet")), + 1024, + ); registry.register("data/parquet/a.parquet", entry); // head() on a directory path should return NotFound — DataFusion uses list() @@ -912,20 +914,30 @@ async fn test_head_directory_path_returns_synthetic_when_registry_has_entries() // DataFusion "this is not a file" and it proceeds to list(). let result = tiered.head(&Path::from("data/parquet")).await; assert!(result.is_err()); - assert!(matches!(result.unwrap_err(), object_store::Error::NotFound { .. })); + assert!(matches!( + result.unwrap_err(), + object_store::Error::NotFound { .. } + )); } #[tokio::test] async fn test_head_directory_path_with_trailing_slash() { let (registry, _local, _remote, tiered) = setup(); - let entry = TieredFileEntry::with_size(FileLocation::Remote, Some(Arc::from("remote/b.parquet")), 2048); + let entry = TieredFileEntry::with_size( + FileLocation::Remote, + Some(Arc::from("remote/b.parquet")), + 2048, + ); registry.register("data/parquet/b.parquet", entry); // Trailing slash also treated as directory — returns NotFound let result = tiered.head(&Path::from("data/parquet/")).await; assert!(result.is_err()); - assert!(matches!(result.unwrap_err(), object_store::Error::NotFound { .. })); + assert!(matches!( + result.unwrap_err(), + object_store::Error::NotFound { .. } + )); } #[tokio::test] @@ -942,12 +954,18 @@ async fn test_head_file_path_not_treated_as_directory() { let (registry, _local, _remote, tiered) = setup(); // Register a file so registry is non-empty - let entry = TieredFileEntry::with_size(FileLocation::Remote, Some(Arc::from("remote/c.parquet")), 512); + let entry = TieredFileEntry::with_size( + FileLocation::Remote, + Some(Arc::from("remote/c.parquet")), + 512, + ); registry.register("data/parquet/c.parquet", entry); // head() on a file path (has extension) should NOT use directory check // — it should try registry lookup, then remote, then local - let result = tiered.head(&Path::from("data/parquet/nonexistent.parquet")).await; + let result = tiered + .head(&Path::from("data/parquet/nonexistent.parquet")) + .await; // Not in registry, not local → NotFound assert!(result.is_err()); } @@ -958,30 +976,48 @@ async fn test_head_file_path_not_treated_as_directory() { fn test_resolve_range_bounded_returns_bounds_directly() { let (_registry, _local, _remote, tiered) = setup(); // Bounded needs no registry/size — returned verbatim. - assert_eq!(tiered.resolve_range("any.parquet", &GetRange::Bounded(10..20)), Some((10, 20))); + assert_eq!( + tiered.resolve_range("any.parquet", &GetRange::Bounded(10..20)), + Some((10, 20)) + ); } #[test] fn test_resolve_range_suffix_uses_registry_size() { let (registry, _local, _remote, tiered) = setup(); - registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + registry.register( + "a.parquet", + TieredFileEntry::with_size(FileLocation::Local, None, 1000), + ); // Suffix(64) → (size - 64, size). - assert_eq!(tiered.resolve_range("a.parquet", &GetRange::Suffix(64)), Some((936, 1000))); + assert_eq!( + tiered.resolve_range("a.parquet", &GetRange::Suffix(64)), + Some((936, 1000)) + ); } #[test] fn test_resolve_range_offset_uses_registry_size() { let (registry, _local, _remote, tiered) = setup(); - registry.register("a.parquet", TieredFileEntry::with_size(FileLocation::Local, None, 1000)); + registry.register( + "a.parquet", + TieredFileEntry::with_size(FileLocation::Local, None, 1000), + ); // Offset(100) → (100, size). - assert_eq!(tiered.resolve_range("a.parquet", &GetRange::Offset(100)), Some((100, 1000))); + assert_eq!( + tiered.resolve_range("a.parquet", &GetRange::Offset(100)), + Some((100, 1000)) + ); } #[test] fn test_resolve_range_suffix_none_when_unregistered() { let (_registry, _local, _remote, tiered) = setup(); // No registry entry → size unavailable → cache bypassed (None). - assert_eq!(tiered.resolve_range("missing.parquet", &GetRange::Suffix(64)), None); + assert_eq!( + tiered.resolve_range("missing.parquet", &GetRange::Suffix(64)), + None + ); } #[test] @@ -989,7 +1025,10 @@ fn test_resolve_range_offset_none_when_size_zero() { let (registry, _local, _remote, tiered) = setup(); // size 0 (default) is filtered out → None. registry.register("z.parquet", TieredFileEntry::new(FileLocation::Local, None)); - assert_eq!(tiered.resolve_range("z.parquet", &GetRange::Offset(10)), None); + assert_eq!( + tiered.resolve_range("z.parquet", &GetRange::Offset(10)), + None + ); } // -- Cache routing tests (MockBlockCache) ----------------------------------- @@ -1031,17 +1070,29 @@ impl BlockCache for MockBlockCache { } fn put(&self, key: &CacheKey, data: Bytes) { - self.data.lock().unwrap().insert(key.as_str().to_string(), data); + self.data + .lock() + .unwrap() + .insert(key.as_str().to_string(), data); } fn put_metadata(&self, key: &CacheKey, data: Bytes) { - self.meta.lock().unwrap().insert(key.as_str().to_string(), data); + self.meta + .lock() + .unwrap() + .insert(key.as_str().to_string(), data); } fn evict_prefix(&self, prefix: &str) { self.evicted.lock().unwrap().push(prefix.to_string()); - self.data.lock().unwrap().retain(|k, _| !k.starts_with(prefix)); - self.meta.lock().unwrap().retain(|k, _| !k.starts_with(prefix)); + self.data + .lock() + .unwrap() + .retain(|k, _| !k.starts_with(prefix)); + self.meta + .lock() + .unwrap() + .retain(|k, _| !k.starts_with(prefix)); } fn clear(&self) -> std::pin::Pin + Send + '_>> { @@ -1051,7 +1102,12 @@ impl BlockCache for MockBlockCache { } } -fn setup_with_cache() -> (Arc, Arc, Arc, TieredObjectStore) { +fn setup_with_cache() -> ( + Arc, + Arc, + Arc, + TieredObjectStore, +) { let registry = Arc::new(TieredStorageRegistry::new()); let local = Arc::new(InMemory::new()); let cache = Arc::new(MockBlockCache::default()); @@ -1063,13 +1119,19 @@ fn setup_with_cache() -> (Arc, Arc, Arc() as f64 / r.budgeted_effective_partitions.len() as f64 }; - let min_partitions = r.budgeted_effective_partitions.iter().min().copied().unwrap_or(0); - let max_partitions = r.budgeted_effective_partitions.iter().max().copied().unwrap_or(0); + let min_partitions = r + .budgeted_effective_partitions + .iter() + .min() + .copied() + .unwrap_or(0); + let max_partitions = r + .budgeted_effective_partitions + .iter() + .max() + .copied() + .unwrap_or(0); let memory_saved = r .unbudgeted_total_memory @@ -288,26 +298,14 @@ fn print_result(label: &str, r: &SimulationResult) { println!("┌─────────────────────────────────────────────────────────────────┐"); println!("│ {:<63} │", label); println!("├─────────────────────────────────────────────────────────────────┤"); - println!( - "│ Pool limit: {:<40} │", - fmt_mb(r.pool_limit) - ); - println!( - "│ Concurrent queries: {:<40} │", - r.num_queries - ); + println!("│ Pool limit: {:<40} │", fmt_mb(r.pool_limit)); + println!("│ Concurrent queries: {:<40} │", r.num_queries); println!( "│ Configured partitions: {:<40} │", r.configured_target_partitions ); - println!( - "│ Batch size: {:<40} │", - r.batch_size - ); - println!( - "│ Avg row bytes: {:<40} │", - r.avg_row_bytes - ); + println!("│ Batch size: {:<40} │", r.batch_size); + println!("│ Avg row bytes: {:<40} │", r.avg_row_bytes); println!("├────────────────── WITH BUDGET ───────────────────────────────────┤"); println!( "│ Peak pool reserved: {:<40} │", @@ -321,14 +319,8 @@ fn print_result(label: &str, r: &SimulationResult) { "│ Effective partitions: avg={:.1}, min={}, max={:<21} │", avg_partitions, min_partitions, max_partitions ); - println!( - "│ Operator spills: {:<40} │", - r.budgeted_spills - ); - println!( - "│ Queries rejected: {:<40} │", - r.budgeted_rejections - ); + println!("│ Operator spills: {:<40} │", r.budgeted_spills); + println!("│ Queries rejected: {:<40} │", r.budgeted_rejections); println!( "│ Within pool limit: {:<40} │", if within_pool { "YES ✓" } else { "NO ✗" } @@ -349,7 +341,10 @@ fn print_result(label: &str, r: &SimulationResult) { println!( "│ Would exceed pool: {:<40} │", if r.unbudgeted_total_memory > r.pool_limit { - format!("YES by {}", fmt_mb(r.unbudgeted_total_memory - r.pool_limit)) + format!( + "YES by {}", + fmt_mb(r.unbudgeted_total_memory - r.pool_limit) + ) } else { "NO".to_string() } @@ -359,11 +354,15 @@ fn print_result(label: &str, r: &SimulationResult) { let (u_avg, u_min, u_p50, u_p99) = latency_stats(&r.unbudgeted_latencies_ns); println!( "│ With budget: avg={}, p50={}, p99={:<12} │", - fmt_ns(b_avg), fmt_ns(b_p50), fmt_ns(b_p99) + fmt_ns(b_avg), + fmt_ns(b_p50), + fmt_ns(b_p99) ); println!( "│ Without budget: avg={}, p50={}, p99={:<12} │", - fmt_ns(u_avg), fmt_ns(u_p50), fmt_ns(u_p99) + fmt_ns(u_avg), + fmt_ns(u_p50), + fmt_ns(u_p99) ); let overhead_ns = b_avg - u_avg; let overhead_pct = if u_avg > 0.0 { @@ -405,7 +404,10 @@ fn main() { 8192, // batch_size=8192 &analytics, ); - print_result("Scenario 1: Low concurrency (4 queries, 256MB pool, 10-col schema)", &r); + print_result( + "Scenario 1: Low concurrency (4 queries, 256MB pool, 10-col schema)", + &r, + ); // Scenario 2: Moderate concurrency, moderate pool let r = simulate_concurrent_queries( @@ -415,7 +417,10 @@ fn main() { 8192, &analytics, ); - print_result("Scenario 2: Moderate concurrency (8 queries, 128MB pool, 10-col)", &r); + print_result( + "Scenario 2: Moderate concurrency (8 queries, 128MB pool, 10-col)", + &r, + ); // Scenario 3: High concurrency, tight pool let r = simulate_concurrent_queries( @@ -425,17 +430,23 @@ fn main() { 8192, &analytics, ); - print_result("Scenario 3: High concurrency (16 queries, 64MB pool, 10-col)", &r); + print_result( + "Scenario 3: High concurrency (16 queries, 64MB pool, 10-col)", + &r, + ); // Scenario 4: Wide schema under moderate pressure let r = simulate_concurrent_queries( 256 * 1024 * 1024, // 256MB pool 8, - 8, // higher parallelism + 8, // higher parallelism 8192, &wide, ); - print_result("Scenario 4: Wide schema (8 queries, 256MB pool, 100-col, tp=8)", &r); + print_result( + "Scenario 4: Wide schema (8 queries, 256MB pool, 100-col, tp=8)", + &r, + ); // Scenario 5: Wide schema under extreme pressure let r = simulate_concurrent_queries( @@ -445,7 +456,10 @@ fn main() { 8192, &wide, ); - print_result("Scenario 5: Wide schema extreme (16 queries, 128MB pool, 100-col, tp=8)", &r); + print_result( + "Scenario 5: Wide schema extreme (16 queries, 128MB pool, 100-col, tp=8)", + &r, + ); // Scenario 6: Very high concurrency burst let r = simulate_concurrent_queries( @@ -455,5 +469,8 @@ fn main() { 8192, &analytics, ); - print_result("Scenario 6: Burst (32 queries, 256MB pool, 10-col, tp=4)", &r); + print_result( + "Scenario 6: Burst (32 queries, 256MB pool, 10-col, tp=4)", + &r, + ); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs b/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs index 105e16a6ef026..7726542d92dff 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs @@ -213,9 +213,10 @@ fn bench_clickbench(c: &mut Criterion) { .unwrap(); let mut stream = unsafe { Box::from_raw( - ptr as *mut datafusion::physical_plan::stream::RecordBatchStreamAdapter< - opensearch_datafusion::cross_rt_stream::CrossRtStream, - >, + ptr + as *mut datafusion::physical_plan::stream::RecordBatchStreamAdapter< + opensearch_datafusion::cross_rt_stream::CrossRtStream, + >, ) }; let mut rows = 0u64; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs index d7f0df7e62195..468d047aa889b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/agg_mode.rs @@ -54,7 +54,9 @@ pub(crate) fn apply_aggregate_mode( /// Returns the output schema of the Partial aggregate without rebuilding the plan tree. /// Used by `derive_schema_from_partial_plan` where we only need types, not an executable plan. -pub(crate) fn partial_aggregate_schema(plan: &Arc) -> Option { +pub(crate) fn partial_aggregate_schema( + plan: &Arc, +) -> Option { find_partial_input(Arc::clone(plan)).map(|p| p.schema()) } @@ -122,7 +124,9 @@ fn force_aggregate_mode( if let Some(proj) = plan.downcast_ref::() { if old_child.schema() != new_child.schema() { let new_schema = &new_child.schema(); - let remapped: Vec<(Arc, String)> = proj.expr().iter() + let remapped: Vec<(Arc, String)> = proj + .expr() + .iter() .map(|pe| (remap_column(pe.expr.clone(), new_schema), pe.alias.clone())) .collect(); return Ok(Arc::new(ProjectionExec::try_new(remapped, new_child)?)); @@ -155,25 +159,31 @@ fn find_partial_input(plan: Arc) -> Option, schema: &arrow::datatypes::SchemaRef) -> Arc { +fn remap_column( + expr: Arc, + schema: &arrow::datatypes::SchemaRef, +) -> Arc { if let Some(col) = expr.downcast_ref::() { return Arc::new(Column::new(schema.field(col.index()).name(), col.index())); } let children = expr.children(); - if children.is_empty() { return expr; } - let new_children: Vec<_> = children.into_iter().map(|c| remap_column(c.clone(), schema)).collect(); + if children.is_empty() { + return expr; + } + let new_children: Vec<_> = children + .into_iter() + .map(|c| remap_column(c.clone(), schema)) + .collect(); let fallback = expr.clone(); expr.with_new_children(new_children).unwrap_or(fallback) } - #[cfg(test)] mod tests { use super::*; - use datafusion::prelude::*; use datafusion::physical_plan::displayable; + use datafusion::prelude::*; /// Helper: create a SessionContext with CombinePartialFinalAggregate disabled, /// register a memtable, and produce a physical plan for `SELECT SUM(x) FROM t`. @@ -348,13 +358,25 @@ mod tests { async fn test_apply_partial_strips_final() { let plan = make_agg_plan().await; let display_before = plan_string(&plan); - assert!(display_before.contains("AggregateExec: mode=Final"), "expected Final in plan"); - assert!(display_before.contains("AggregateExec: mode=Partial"), "expected Partial in plan"); + assert!( + display_before.contains("AggregateExec: mode=Final"), + "expected Final in plan" + ); + assert!( + display_before.contains("AggregateExec: mode=Partial"), + "expected Partial in plan" + ); let stripped = apply_aggregate_mode(plan, Mode::Partial, false).unwrap(); let display_after = plan_string(&stripped); - assert!(!display_after.contains("mode=Final"), "Final should be stripped"); - assert!(display_after.contains("mode=Partial"), "Partial should remain"); + assert!( + !display_after.contains("mode=Final"), + "Final should be stripped" + ); + assert!( + display_after.contains("mode=Partial"), + "Partial should remain" + ); } /// When has_topk=true and the input has multiple partitions (CSS), Final/FinalPartitioned @@ -366,7 +388,8 @@ mod tests { let display_before = plan_string(&plan); // With target_partitions=4 and GROUP BY, DF produces FinalPartitioned. assert!( - display_before.contains("mode=FinalPartitioned") || display_before.contains("mode=Final"), + display_before.contains("mode=FinalPartitioned") + || display_before.contains("mode=Final"), "expected Final/FinalPartitioned in multi-partition plan, got:\n{display_before}" ); @@ -377,9 +400,9 @@ mod tests { "has_topk=true with multi-partition input must produce PartialReduce, got modes: {modes:?}" ); assert!( - !modes.contains(&AggregateMode::Final) && !modes.contains(&AggregateMode::FinalPartitioned), + !modes.contains(&AggregateMode::Final) + && !modes.contains(&AggregateMode::FinalPartitioned), "Final/FinalPartitioned must not remain after stripping" ); } - } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index 711a1cd0ea42f..c884828e71791 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -46,10 +46,10 @@ use arrow_schema::ffi::FFI_ArrowSchema; use datafusion::common::DataFusionError; use datafusion::datasource::listing::ListingTableUrl; use datafusion::datasource::physical_plan::parquet::{ParquetAccessPlan, RowGroupAccess}; +use datafusion::execution::cache::cache_manager::CacheManagerConfig; use datafusion::execution::disk_manager::{DiskManagerBuilder, DiskManagerMode}; use datafusion::execution::memory_pool::{MemoryPool, TrackConsumersPool}; use datafusion::execution::runtime_env::RuntimeEnvBuilder; -use datafusion::execution::cache::cache_manager::CacheManagerConfig; use datafusion::execution::RecordBatchStream; use datafusion::execution::SessionStateBuilder; use datafusion::physical_plan::execute_stream; @@ -101,9 +101,10 @@ pub struct QueryStreamHandle { impl QueryStreamHandle { fn schema_has_views(schema: &arrow_schema::SchemaRef) -> bool { - schema.fields().iter().any(|f| { - matches!(f.data_type(), DataType::Utf8View | DataType::BinaryView) - }) + schema + .fields() + .iter() + .any(|f| matches!(f.data_type(), DataType::Utf8View | DataType::BinaryView)) } pub fn new( @@ -191,41 +192,82 @@ impl QueryStreamHandle { let mut map = serde_json::Map::new(); Self::collect_metrics(plan.as_ref(), &mut map); // Include the physical plan display text - let plan_text = datafusion::physical_plan::displayable(plan.as_ref()).indent(true).to_string(); - map.insert("physical_plan".to_string(), serde_json::Value::String(plan_text)); + let plan_text = datafusion::physical_plan::displayable(plan.as_ref()) + .indent(true) + .to_string(); + map.insert( + "physical_plan".to_string(), + serde_json::Value::String(plan_text), + ); serde_json::to_vec(&map).ok() } - fn collect_metrics(plan: &dyn datafusion::physical_plan::ExecutionPlan, map: &mut serde_json::Map) { + fn collect_metrics( + plan: &dyn datafusion::physical_plan::ExecutionPlan, + map: &mut serde_json::Map, + ) { if let Some(metrics) = plan.metrics() { for m in metrics.iter() { - let add = |map: &mut serde_json::Map, key: String, delta: i64| { + let add = |map: &mut serde_json::Map, + key: String, + delta: i64| { let prev = map.get(&key).and_then(|v| v.as_i64()).unwrap_or(0); - map.insert(key, serde_json::Value::Number(serde_json::Number::from(prev + delta))); + map.insert( + key, + serde_json::Value::Number(serde_json::Number::from(prev + delta)), + ); }; match m.value() { - MetricValue::PruningMetrics { name, pruning_metrics } => { - add(map, format!("{}_pruned", name), pruning_metrics.pruned() as i64); - add(map, format!("{}_matched", name), pruning_metrics.matched() as i64); + MetricValue::PruningMetrics { + name, + pruning_metrics, + } => { + add( + map, + format!("{}_pruned", name), + pruning_metrics.pruned() as i64, + ); + add( + map, + format!("{}_matched", name), + pruning_metrics.matched() as i64, + ); } MetricValue::StartTimestamp(_) => { let v = m.value().as_usize() as i64; - let prev = map.get("start_timestamp").and_then(|v| v.as_i64()).unwrap_or(i64::MAX); + let prev = map + .get("start_timestamp") + .and_then(|v| v.as_i64()) + .unwrap_or(i64::MAX); if v > 0 && v < prev { - map.insert("start_timestamp".to_string(), serde_json::Value::Number(serde_json::Number::from(v))); + map.insert( + "start_timestamp".to_string(), + serde_json::Value::Number(serde_json::Number::from(v)), + ); } } MetricValue::EndTimestamp(_) => { let v = m.value().as_usize() as i64; - let prev = map.get("end_timestamp").and_then(|v| v.as_i64()).unwrap_or(0); + let prev = map + .get("end_timestamp") + .and_then(|v| v.as_i64()) + .unwrap_or(0); if v > prev { - map.insert("end_timestamp".to_string(), serde_json::Value::Number(serde_json::Number::from(v))); + map.insert( + "end_timestamp".to_string(), + serde_json::Value::Number(serde_json::Number::from(v)), + ); } } - MetricValue::Ratio { .. } | MetricValue::Gauge { .. } | MetricValue::CurrentMemoryUsage(_) => { + MetricValue::Ratio { .. } + | MetricValue::Gauge { .. } + | MetricValue::CurrentMemoryUsage(_) => { let name = m.value().name().to_string(); let value = m.value().as_usize() as i64; - map.insert(name, serde_json::Value::Number(serde_json::Number::from(value))); + map.insert( + name, + serde_json::Value::Number(serde_json::Number::from(value)), + ); } other => { add(map, other.name().to_string(), other.as_usize() as i64); @@ -519,7 +561,9 @@ pub fn create_global_runtime( let msg = format!( "Failed to enumerate spill directory {} (io kind={:?}): {}. \ Verify the process owns the spill directory before restarting.", - spill_dir, e.kind(), e + spill_dir, + e.kind(), + e ); log::error!("{}", msg); DataFusionError::Configuration(msg) @@ -528,7 +572,9 @@ pub fn create_global_runtime( let entry = entry.map_err(|e| { let msg = format!( "Failed to read spill directory entry in {} (io kind={:?}): {}", - spill_dir, e.kind(), e + spill_dir, + e.kind(), + e ); log::error!("{}", msg); DataFusionError::Configuration(msg) @@ -553,7 +599,10 @@ pub fn create_global_runtime( let msg = format!( "Failed to rename leaked spill entry {} -> {} (io kind={:?}): {}. \ Verify the process owns the spill directory before restarting.", - path.display(), stale.display(), e.kind(), e + path.display(), + stale.display(), + e.kind(), + e ); log::error!("{}", msg); return Err(DataFusionError::Configuration(msg)); @@ -663,7 +712,11 @@ pub fn create_global_runtime( .with_cache_manager(cache_manager_config) .build()?; - let runtime = DataFusionRuntime { runtime_env, custom_cache_manager, dynamic_limit_handle }; + let runtime = DataFusionRuntime { + runtime_env, + custom_cache_manager, + dynamic_limit_handle, + }; Ok(Box::into_raw(Box::new(runtime)) as i64) } @@ -716,7 +769,10 @@ pub unsafe fn get_memory_pool_stats(ptr: i64, out_ptr: *mut i64) { /// `ptr` must be a valid pointer returned by `create_global_runtime`. pub unsafe fn set_memory_pool_limit(ptr: i64, new_limit: i64) -> Result<(), String> { if new_limit < 0 { - return Err(format!("Memory pool limit must be non-negative, got {}", new_limit)); + return Err(format!( + "Memory pool limit must be non-negative, got {}", + new_limit + )); } let runtime = &*(ptr as *const DataFusionRuntime); runtime.dynamic_limit_handle.set_limit(new_limit as usize); @@ -736,7 +792,10 @@ static REDUCE_TARGET_PARTITIONS: std::sync::atomic::AtomicUsize = std::sync::atomic::AtomicUsize::new(4); pub fn set_reduce_target_partitions(value: i64) { - REDUCE_TARGET_PARTITIONS.store(value.max(1).min(32) as usize, std::sync::atomic::Ordering::Release); + REDUCE_TARGET_PARTITIONS.store( + value.max(1).min(32) as usize, + std::sync::atomic::Ordering::Release, + ); } pub fn get_reduce_target_partitions() -> usize { @@ -794,7 +853,10 @@ pub fn create_reader( // Otherwise use default LocalFileSystem. let store: Arc = if store_ptr > 0 { let boxed = unsafe { - &*(store_ptr as *const Arc) + &*(store_ptr + as *const Arc< + dyn opensearch_tiered_storage::tiered_object_store::MetadataCachingStore, + >) }; // Bind first, then trait-upcast at the let-binding boundary // (Arc::clone alone can't infer the supertrait return type). @@ -866,16 +928,18 @@ pub async unsafe fn execute_query( // Create per-query context (auto-registers in the global registry) and extract // its per-query memory pool overlaying the global pool. let global_pool = runtime.runtime_env.memory_pool.clone(); - let (mut query_context, query_memory_pool) = new_query_tracking_context( - context_id, - global_pool.clone(), - QueryType::Shard, - ); + let (mut query_context, query_memory_pool) = + new_query_tracking_context(context_id, global_pool.clone(), QueryType::Shard); // Apply disk-pressure capping + memory budget, attaching phantom // reservation/corrector to the query context. - let (effective_config, phantom_corrector) = - resolve_effective_config(shard_view, runtime, &global_pool, &query_config, &mut query_context); + let (effective_config, phantom_corrector) = resolve_effective_config( + shard_view, + runtime, + &global_pool, + &query_config, + &mut query_context, + ); // Route to the indexed executor when the plan has an index_filter UDF or // requests __row_id__ (QTF query phase); otherwise the ListingTable path. @@ -900,7 +964,8 @@ pub async unsafe fn execute_query( query_memory_pool, effective_config, context_id, - ).await + ) + .await } else { query_executor::execute_query( shard_view.table_path.clone(), @@ -917,7 +982,8 @@ pub async unsafe fn execute_query( &shard_view.sort_fields, &shard_view.sort_orders, internal_search, - ).await + ) + .await } }; @@ -981,8 +1047,15 @@ pub async unsafe fn fetch_by_row_ids( // ── 2. Build ShardFileInfo with ParquetAccessPlan per file ── - let store = ctx.state().runtime_env().object_store(&shard_view.table_path)?; - let metadata_cache = ctx.state().runtime_env().cache_manager.get_file_metadata_cache(); + let store = ctx + .state() + .runtime_env() + .object_store(&shard_view.table_path)?; + let metadata_cache = ctx + .state() + .runtime_env() + .cache_manager + .get_file_metadata_cache(); let (segments, _schema) = build_segments( &ctx.state(), Arc::clone(&store), @@ -991,12 +1064,15 @@ pub async unsafe fn fetch_by_row_ids( metadata_cache, &shard_view.sort_fields, ) - .await - .map_err(DataFusionError::Execution)?; + .await + .map_err(DataFusionError::Execution)?; // Distribute global row_ids to per-file local positions. // Note: Java validates non-empty + ascending row_ids before the FFM call; we don't repeat that here. - debug_assert!(!segments.is_empty(), "fetch_by_row_ids: build_segments returned empty for non-empty shard view"); + debug_assert!( + !segments.is_empty(), + "fetch_by_row_ids: build_segments returned empty for non-empty shard view" + ); let mut per_segment: HashMap = HashMap::new(); for &gid in &row_ids { debug_assert!(gid >= 0, "fetch_by_row_ids: negative row id {}", gid); @@ -1007,7 +1083,10 @@ pub async unsafe fn fetch_by_row_ids( debug_assert!( (gid as u64) >= seg.global_base && (gid as u64) < seg.global_base + seg.max_doc as u64, "fetch_by_row_ids: row id {} out of bounds for segment {} (base={}, max_doc={})", - gid, seg_idx, seg.global_base, seg.max_doc + gid, + seg_idx, + seg.global_base, + seg.max_doc ); let local_pos = (gid as u64 - seg.global_base) as u32; per_segment.entry(seg_idx).or_default().insert(local_pos); @@ -1028,9 +1107,8 @@ pub async unsafe fn fetch_by_row_ids( .map(|pos| pos - rg_start) .collect(); if !rg_bitmap.is_empty() { - let selection = build_row_selection_with_min_skip_run( - &rg_bitmap, rg.num_rows as usize, 1, - ); + let selection = + build_row_selection_with_min_skip_run(&rg_bitmap, rg.num_rows as usize, 1); plan.set(rg.index, RowGroupAccess::Selection(selection)); } } @@ -1051,10 +1129,14 @@ pub async unsafe fn fetch_by_row_ids( // ── 3. Register ShardTableProvider ── let store_url = store_url_from_table_path(&shard_view.table_path)?; - let listing_options = datafusion::datasource::listing::ListingOptions::new( - Arc::new(datafusion::datasource::file_format::parquet::ParquetFormat::new()) - ).with_file_extension(".parquet").with_collect_stat(true); - let resolved_schema = listing_options.infer_schema(&ctx.state(), &shard_view.table_path).await?; + let listing_options = datafusion::datasource::listing::ListingOptions::new(Arc::new( + datafusion::datasource::file_format::parquet::ParquetFormat::new(), + )) + .with_file_extension(".parquet") + .with_collect_stat(true); + let resolved_schema = listing_options + .infer_schema(&ctx.state(), &shard_view.table_path) + .await?; let provider = Arc::new(ShardTableProvider::new(ShardTableConfig { file_schema: resolved_schema, @@ -1069,10 +1151,15 @@ pub async unsafe fn fetch_by_row_ids( // each column verbatim except __row_id__, which we replace with the synthesized // expression. This preserves caller column order and guarantees a single __row_id__ // column in the result. - let projection = columns.iter() + let projection = columns + .iter() .map(|c| { if c == crate::ROW_ID_COLUMN_NAME { - format!("(\"{}\" + \"row_base\") AS \"{}\"", crate::ROW_ID_COLUMN_NAME, crate::ROW_ID_COLUMN_NAME) + format!( + "(\"{}\" + \"row_base\") AS \"{}\"", + crate::ROW_ID_COLUMN_NAME, + crate::ROW_ID_COLUMN_NAME + ) } else { format!("\"{}\"", c) } @@ -1086,7 +1173,10 @@ pub async unsafe fn fetch_by_row_ids( // Post-condition: returned stream schema must contain __row_id__ plus every requested column. // Catches drift if SQL synthesis or the optimizer ever drops a projection silently. - debug_assert!(assert_fetch_result_schema(df_stream.schema().as_ref(), &columns)); + debug_assert!(assert_fetch_result_schema( + df_stream.schema().as_ref(), + &columns + )); // ── 5. Wrap and return ── @@ -1094,7 +1184,12 @@ pub async unsafe fn fetch_by_row_ids( // monotonically nondecreasing across the entire stream. target_partitions=1 // means a single ordered execution, so the check is global, not per-batch only. let df_stream = ascending_row_id_check_stream(df_stream); - Ok(wrap_stream_as_handle(df_stream, manager.cpu_executor(), runtime, context_id)) + Ok(wrap_stream_as_handle( + df_stream, + manager.cpu_executor(), + runtime, + context_id, + )) } /// Resolve the dynamic spill limit based on available disk space. @@ -1111,14 +1206,17 @@ fn resolve_dynamic_spill_limit(spill_dir: &str) -> u64 { let limit = (available as f64 * FRACTION) as u64; log::info!( "Dynamic spill limit: {} bytes (80% of {} available on {})", - limit, available, spill_dir + limit, + available, + spill_dir ); limit } None => { log::warn!( "Could not determine disk space for '{}', using fallback {}GB", - spill_dir, FALLBACK / (1024 * 1024 * 1024) + spill_dir, + FALLBACK / (1024 * 1024 * 1024) ); FALLBACK } @@ -1137,7 +1235,9 @@ fn resolve_dynamic_spill_limit(spill_dir: &str) -> u64 { fn use_indexed_path(plan_bytes: &[u8]) -> bool { const INDEX_FILTER: &[u8] = b"index_filter"; const ROW_ID: &[u8] = crate::ROW_ID_COLUMN_NAME.as_bytes(); - plan_bytes.windows(INDEX_FILTER.len()).any(|w| w == INDEX_FILTER) + plan_bytes + .windows(INDEX_FILTER.len()) + .any(|w| w == INDEX_FILTER) || plan_bytes.windows(ROW_ID.len()).any(|w| w == ROW_ID) } @@ -1167,7 +1267,9 @@ fn resolve_effective_config( // cache, subsequent queries benefit). let mut cfg = query_config.clone(); cfg.target_partitions = disk_capped_partitions; - let corrector = if let Some(budget) = try_acquire_budget_from_cache(shard_view, runtime, global_pool, &cfg) { + let corrector = if let Some(budget) = + try_acquire_budget_from_cache(shard_view, runtime, global_pool, &cfg) + { cfg.target_partitions = budget.target_partitions; cfg.batch_size = budget.batch_size; let batches_in_pipeline = budget.target_partitions * 3 + 2; // partitions × multiplier + output channel(2) @@ -1177,7 +1279,9 @@ fn resolve_effective_config( cfg.batch_size * 100 // fallback }; let corrector = Arc::new(PhantomCorrector::new_from_metadata( - budget.phantom_bytes, estimated_batch_bytes, batches_in_pipeline, + budget.phantom_bytes, + estimated_batch_bytes, + batches_in_pipeline, )); query_context.set_phantom_reservation(budget.phantom_reservation); Some(query_context.set_phantom_corrector(corrector)) @@ -1206,13 +1310,18 @@ fn try_acquire_budget_from_cache( let cached = cache.get(&first_meta.location)?; // Downcast Arc to ParquetMetaData - let parquet_meta = cached.file_metadata.as_any().downcast_ref::()?; + let parquet_meta = cached + .file_metadata + .as_any() + .downcast_ref::()?; // Extract Arrow schema (zero I/O — just struct conversion) let schema = parquet_to_arrow_schema( parquet_meta.file_metadata().schema_descr(), parquet_meta.file_metadata().key_value_metadata(), - ).ok().map(Arc::new)?; + ) + .ok() + .map(Arc::new)?; // Acquire budget using measured row bytes from metadata crate::query_budget::acquire_budget_from_metadata( @@ -1221,7 +1330,8 @@ fn try_acquire_budget_from_cache( parquet_meta, config.target_partitions, config.batch_size, - ).ok() + ) + .ok() } /// Returns the Arrow schema for the given stream as a heap-allocated FFI_ArrowSchema pointer. @@ -1249,24 +1359,27 @@ pub unsafe fn stream_get_schema(stream_ptr: i64) -> Result /// # Safety /// `stream_ptr` must be a valid, non-zero pointer. Must not be called concurrently /// on the same stream. -pub async unsafe fn stream_next( - stream_ptr: i64, -) -> Result { +pub async unsafe fn stream_next(stream_ptr: i64) -> Result { let handle = &mut *(stream_ptr as *mut QueryStreamHandle); let token = query_tracker::get_cancellation_token(handle._query_tracking_context.context_id()); // Fetch the next batch (cancellation-aware) - let result = cancellation::cancellable_or( - token.as_ref(), - None, - async { handle.stream.try_next().await.map_err(|e: DataFusionError| e) }, - ).await + let result = cancellation::cancellable_or(token.as_ref(), None, async { + handle + .stream + .try_next() + .await + .map_err(|e: DataFusionError| e) + }) + .await .map_err(|e| DataFusionError::Execution(e))?; match result { Some(batch) => { // Apply pending phantom correction from the self-correcting budget. - handle._query_tracking_context.apply_pending_phantom_correction(); + handle + ._query_tracking_context + .apply_pending_phantom_correction(); let batch = if handle.has_views { compact_string_view_columns(batch) @@ -1285,23 +1398,28 @@ pub async unsafe fn stream_next( /// Prevents sliced StringView batches from carrying full backing buffers across FFI. fn compact_string_view_columns(batch: RecordBatch) -> RecordBatch { let schema = batch.schema(); - let needs_compaction = batch - .columns() - .iter() - .zip(schema.fields().iter()) - .any(|(col, field)| match field.data_type() { - DataType::Utf8View => { - let view: &arrow_array::StringViewArray = col.as_any().downcast_ref() - .expect("column must be StringViewArray when schema declares Utf8View"); - view_needs_gc(view.data_buffers(), view.total_buffer_bytes_used()) - } - DataType::BinaryView => { - let view: &arrow_array::BinaryViewArray = col.as_any().downcast_ref() - .expect("column must be BinaryViewArray when schema declares BinaryView"); - view_needs_gc(view.data_buffers(), view.total_buffer_bytes_used()) - } - _ => false, - }); + let needs_compaction = + batch + .columns() + .iter() + .zip(schema.fields().iter()) + .any(|(col, field)| match field.data_type() { + DataType::Utf8View => { + let view: &arrow_array::StringViewArray = col + .as_any() + .downcast_ref() + .expect("column must be StringViewArray when schema declares Utf8View"); + view_needs_gc(view.data_buffers(), view.total_buffer_bytes_used()) + } + DataType::BinaryView => { + let view: &arrow_array::BinaryViewArray = col + .as_any() + .downcast_ref() + .expect("column must be BinaryViewArray when schema declares BinaryView"); + view_needs_gc(view.data_buffers(), view.total_buffer_bytes_used()) + } + _ => false, + }); if !needs_compaction { return batch; } @@ -1311,12 +1429,16 @@ fn compact_string_view_columns(batch: RecordBatch) -> RecordBatch { .zip(schema.fields().iter()) .map(|(col, field)| match field.data_type() { DataType::Utf8View => { - let view: &arrow_array::StringViewArray = col.as_any().downcast_ref() + let view: &arrow_array::StringViewArray = col + .as_any() + .downcast_ref() .expect("column must be StringViewArray when schema declares Utf8View"); Arc::new(view.gc()) as Arc } DataType::BinaryView => { - let view: &arrow_array::BinaryViewArray = col.as_any().downcast_ref() + let view: &arrow_array::BinaryViewArray = col + .as_any() + .downcast_ref() .expect("column must be BinaryViewArray when schema declares BinaryView"); Arc::new(view.gc()) as Arc } @@ -1362,7 +1484,9 @@ pub unsafe fn stream_close(stream_ptr: i64) { // may leak the borrow — log it so a recurring timeout is visible rather than silent. let timed_out = mgr .io_runtime - .block_on(async { tokio::time::timeout(std::time::Duration::from_secs(30), rx).await }) + .block_on(async { + tokio::time::timeout(std::time::Duration::from_secs(30), rx).await + }) .is_err(); if timed_out { native_bridge_common::log_error!( @@ -1420,7 +1544,8 @@ pub unsafe fn sql_to_substrait( }, CachedFileList::new(object_metas.as_ref().clone()), ); - let runtime_env = crate::query_executor::query_runtime_env_builder(runtime, list_file_cache).build()?; + let runtime_env = + crate::query_executor::query_runtime_env_builder(runtime, list_file_cache).build()?; let state = SessionStateBuilder::new() .with_config(SessionConfig::new()) @@ -1482,7 +1607,10 @@ fn derive_schema_from_partial_plan( use substrait::proto::{read_rel::ReadType, Plan}; let plan = Plan::decode(substrait_bytes).map_err(|e| { - DataFusionError::Execution(format!("derive_schema_from_partial_plan: decode failed: {}", e)) + DataFusionError::Execution(format!( + "derive_schema_from_partial_plan: decode failed: {}", + e + )) })?; let state = SessionStateBuilder::new() @@ -1509,9 +1637,10 @@ fn derive_schema_from_partial_plan( continue; }; let table_name = nt.names.last().cloned().unwrap_or_default(); - let base_schema = read.base_schema.as_ref().ok_or_else(|| { - DataFusionError::Execution("ReadRel missing base_schema".to_string()) - })?; + let base_schema = read + .base_schema + .as_ref() + .ok_or_else(|| DataFusionError::Execution("ReadRel missing base_schema".to_string()))?; let df_schema = from_substrait_named_struct(&consumer, base_schema)?; let arrow_schema = df_schema.as_arrow().clone(); @@ -1548,35 +1677,56 @@ fn derive_schema_from_partial_plan( // Extract the substrait-declared output names from Plan.Root.names — these are the // user-facing aliases Java wrote (e.g. "RegionID", "u") and must match what the // FINAL substrait's Read.base_schema declares on the coordinator side. - let declared_names: Vec = plan.relations.iter().find_map(|pr| { - if let Some(substrait::proto::plan_rel::RelType::Root(rr)) = pr.rel_type.as_ref() { - Some(rr.names.clone()) - } else { - None - } - }).unwrap_or_default(); + let declared_names: Vec = plan + .relations + .iter() + .find_map(|pr| { + if let Some(substrait::proto::plan_rel::RelType::Root(rr)) = pr.rel_type.as_ref() { + Some(rr.names.clone()) + } else { + None + } + }) + .unwrap_or_default(); let logical_plan = futures::executor::block_on(from_substrait_plan(&session_state, &plan))?; - let physical_plan = futures::executor::block_on(session_state.create_physical_plan(&logical_plan))?; + let physical_plan = + futures::executor::block_on(session_state.create_physical_plan(&logical_plan))?; // Engine-native-merge: Partial state types differ from Final output (Binary HLL sketches, // or List state for sub-32-bit bitmap accumulators). Use Partial schema + Root.names so // the coordinator sees the correct wire type. if let Some(partial_schema) = crate::agg_mode::partial_aggregate_schema(&physical_plan) { let has_nontrivial_state = partial_schema.fields().iter().any(|f| { - matches!(f.data_type(), arrow::datatypes::DataType::Binary | arrow::datatypes::DataType::List(_)) + matches!( + f.data_type(), + arrow::datatypes::DataType::Binary | arrow::datatypes::DataType::List(_) + ) }); - if has_nontrivial_state && !declared_names.is_empty() && declared_names.len() == partial_schema.fields().len() { + if has_nontrivial_state + && !declared_names.is_empty() + && declared_names.len() == partial_schema.fields().len() + { use arrow::datatypes::{Field, Schema}; let coerced = crate::schema_coerce::coerce_inferred_schema(partial_schema); - let fields: Vec = coerced.fields().iter().zip(declared_names.iter()) - .map(|(f, name)| Field::new(name.as_str(), f.data_type().clone(), f.is_nullable()) - .with_metadata(f.metadata().clone())) + let fields: Vec = coerced + .fields() + .iter() + .zip(declared_names.iter()) + .map(|(f, name)| { + Field::new(name.as_str(), f.data_type().clone(), f.is_nullable()) + .with_metadata(f.metadata().clone()) + }) .collect(); - return Ok(Arc::new(Schema::new_with_metadata(fields, coerced.metadata().clone()))); + return Ok(Arc::new(Schema::new_with_metadata( + fields, + coerced.metadata().clone(), + ))); } } - Ok(crate::schema_coerce::coerce_inferred_schema(physical_plan.schema())) + Ok(crate::schema_coerce::coerce_inferred_schema( + physical_plan.schema(), + )) } /// Encodes a Schema as Arrow IPC stream-format bytes (a schema-only message @@ -1698,11 +1848,18 @@ pub(crate) fn first_named_table_name(plan_bytes: &[u8]) -> Option { } /// Extracts the `base_schema` NamedStruct from the plan's first ReadRel matching `table_name`. -pub(crate) fn base_schema_for_table(plan: &substrait::proto::Plan, table_name: &str) -> Option { +pub(crate) fn base_schema_for_table( + plan: &substrait::proto::Plan, + table_name: &str, +) -> Option { use substrait::proto::read_rel::ReadType; for read in collect_plan_reads(plan) { - let Some(ReadType::NamedTable(nt)) = read.read_type.as_ref() else { continue }; - if nt.names.last().map(String::as_str) != Some(table_name) { continue } + let Some(ReadType::NamedTable(nt)) = read.read_type.as_ref() else { + continue; + }; + if nt.names.last().map(String::as_str) != Some(table_name) { + continue; + } return read.base_schema.clone(); } None @@ -1779,7 +1936,11 @@ pub unsafe fn register_partition_stream( let current_partitions = session.target_partitions(); let current_phantom = session.phantom_size(); if let Some(budget) = crate::query_budget::try_grow_reduce_budget( - pool, &schema, batch_size, current_partitions, current_phantom, + pool, + &schema, + batch_size, + current_partitions, + current_phantom, )? { session.reduce_target_partitions(budget.target_partitions); session.set_phantom(budget.phantom_reservation); @@ -1817,7 +1978,11 @@ pub async unsafe fn execute_local_plan( // Per-query memory tracking — wraps the session's global pool. A // `context_id` of 0 disables tracking (pool is not consulted) and no // cancellation token is registered in the global QUERY_REGISTRY. - let query_context = QueryTrackingContext::new(context_id, session.memory_pool(), query_tracker::QueryType::Coordinator); + let query_context = QueryTrackingContext::new( + context_id, + session.memory_pool(), + query_tracker::QueryType::Coordinator, + ); let token = query_tracker::get_cancellation_token(context_id); // Race substrait planning + execution against the cancellation token so @@ -1838,7 +2003,11 @@ pub async unsafe fn execute_local_plan( // task can be aborted mid-execution when cancel_query fires. let cpu_exec = manager.cpu_executor(); let (cross_rt_stream, _abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone(), token.clone()); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_exec.clone(), + token.clone(), + ); // Reduce path: cancel via the token only, do NOT register the abort handle — an abort() mid-send // would skip the cross_rt drop+drain cleanup and leak the aggregate's in-flight GroupValues. if let Some(rt) = cpu_exec.handle() { @@ -1847,7 +2016,8 @@ pub async unsafe fn execute_local_plan( let wrapped = RecordBatchStreamAdapter::new(cross_rt_stream.schema(), cross_rt_stream); // Attach the teardown signal so stream_close releases borrowed input batches before allocator close. - let handle = QueryStreamHandle::new_with_plan(wrapped, query_context, permit, physical_plan).with_task_done(task_done); + let handle = QueryStreamHandle::new_with_plan(wrapped, query_context, permit, physical_plan) + .with_task_done(task_done); Ok(Box::into_raw(Box::new(handle)) as i64) } @@ -1875,7 +2045,11 @@ pub unsafe fn execute_local_prepared_plan( // so a `cancel_query(context_id)` call fires the token here too. // The token is held via the QueryStreamHandle's context and consulted by // stream_next on each batch pull. - let query_context = QueryTrackingContext::new(context_id, session.memory_pool(), query_tracker::QueryType::Coordinator); + let query_context = QueryTrackingContext::new( + context_id, + session.memory_pool(), + query_tracker::QueryType::Coordinator, + ); let token = query_tracker::get_cancellation_token(context_id); // DataFusion's execute_stream is sync, but kicks off RepartitionExec / @@ -1886,7 +2060,11 @@ pub unsafe fn execute_local_prepared_plan( let cpu_exec = manager.cpu_executor(); let (cross_rt_stream, _abort_handle, task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_exec.clone(), token.clone()); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_exec.clone(), + token.clone(), + ); // Prepared-reduce path: same as execute_local_plan — token-only cancel, no abort handle. if let Some(rt) = cpu_exec.handle() { query_tracker::set_cpu_runtime_handle(context_id, rt); @@ -2028,18 +2206,28 @@ mod tests { // Simulate a leaked spill file from a prior non-graceful shutdown. let sentinel = tmp.path().join("leaked_from_prior_run.tmp"); fs::write(&sentinel, b"stale spill data").expect("seed sentinel"); - assert!(sentinel.exists(), "sentinel must exist before runtime build"); + assert!( + sentinel.exists(), + "sentinel must exist before runtime build" + ); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024) + .expect("runtime build"); assert!(ptr > 0); // Phase 1 renames the sentinel file to leaked_from_prior_run.tmp.stale // synchronously; phase 2 unlinks it asynchronously. The original name // is gone immediately; wait for the .stale name to disappear too. - assert!(!sentinel.exists(), "sentinel original name must be gone (renamed)"); + assert!( + !sentinel.exists(), + "sentinel original name must be gone (renamed)" + ); let stale = tmp.path().join("leaked_from_prior_run.tmp.stale"); let cleaned = wait_until(2000, || !stale.exists()); - assert!(cleaned, "background cleanup must remove the .stale sentinel within 2s"); + assert!( + cleaned, + "background cleanup must remove the .stale sentinel within 2s" + ); let runtime = unsafe { &*(ptr as *const DataFusionRuntime) }; assert!( @@ -2087,24 +2275,40 @@ mod tests { assert!(top_file.exists()); assert!(nested_file.exists()); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024) + .expect("runtime build"); assert!(ptr > 0); // Phase 1: original names gone (renamed to *.stale). - assert!(!top_file.exists(), "top-level file original name must be gone (renamed)"); - assert!(!outer_subdir.exists(), "original subdir name must be gone (renamed)"); + assert!( + !top_file.exists(), + "top-level file original name must be gone (renamed)" + ); + assert!( + !outer_subdir.exists(), + "original subdir name must be gone (renamed)" + ); // Phase 2: *.stale entries cleaned by the background thread. let stale_top = tmp.path().join("top.tmp.stale"); let stale_dir = tmp.path().join("subdir.stale"); let cleaned = wait_until(2000, || !stale_top.exists() && !stale_dir.exists()); - assert!(cleaned, "background cleanup must remove both .stale entries within 2s"); + assert!( + cleaned, + "background cleanup must remove both .stale entries within 2s" + ); assert!(!nested_file.exists(), "nested leaked file must be removed"); assert!(!nested_dir.exists(), "nested leaked subdir must be removed"); // Spill root itself must remain (cleanup wipes children only). - assert!(tmp.path().exists(), "spill root must be preserved across cleanup"); - assert!(tmp.path().is_dir(), "spill root must remain a directory after cleanup"); + assert!( + tmp.path().exists(), + "spill root must be preserved across cleanup" + ); + assert!( + tmp.path().is_dir(), + "spill root must remain a directory after cleanup" + ); unsafe { close_global_runtime(ptr) }; } @@ -2140,8 +2344,16 @@ mod tests { // Operator-facing message must include the offending path + io kind so the // logs are diagnostic without needing further investigation. let msg = err.to_string(); - assert!(msg.contains(bad_path_str), "error must reference the offending path; got: {}", msg); - assert!(msg.contains("io kind="), "error must include the io::ErrorKind for diagnosis; got: {}", msg); + assert!( + msg.contains(bad_path_str), + "error must reference the offending path; got: {}", + msg + ); + assert!( + msg.contains("io kind="), + "error must include the io::ErrorKind for diagnosis; got: {}", + msg + ); assert!( msg.contains("Failed to enumerate spill directory") || msg.contains("Failed to clear leaked spill entry"), @@ -2189,8 +2401,13 @@ mod tests { fs::write(&loose_file, b"loose top-level file").expect("seed loose file"); // Lock parent to r+x only — simulates the mount-point parent the JVM doesn't own. - let original_parent_mode = fs::metadata(parent.path()).expect("stat parent").permissions().mode(); - let mut locked = fs::metadata(parent.path()).expect("stat parent").permissions(); + let original_parent_mode = fs::metadata(parent.path()) + .expect("stat parent") + .permissions() + .mode(); + let mut locked = fs::metadata(parent.path()) + .expect("stat parent") + .permissions(); locked.set_mode(0o555); fs::set_permissions(parent.path(), locked).expect("chmod parent 555"); @@ -2211,25 +2428,46 @@ mod tests { } } } - let _restore = RestorePerms { path: parent.path(), mode: original_parent_mode }; + let _restore = RestorePerms { + path: parent.path(), + mode: original_parent_mode, + }; let ptr = result.expect("runtime build must succeed when only the parent is read-only"); assert!(ptr > 0); // Phase 1: both originals are renamed inline — gone immediately by the // original name. Phase 2 unlinks the .stale entries asynchronously. - assert!(!loose_file.exists(), "loose top-level file original name must be gone (renamed)"); - assert!(!leaked_dir.exists(), "leaked datafusion-* original name must be gone (renamed)"); + assert!( + !loose_file.exists(), + "loose top-level file original name must be gone (renamed)" + ); + assert!( + !leaked_dir.exists(), + "leaked datafusion-* original name must be gone (renamed)" + ); let stale_loose = spill_path.join("stray.txt.stale"); let stale_dir = spill_path.join("datafusion-aB3kF7.stale"); let cleaned = wait_until(2000, || !stale_loose.exists() && !stale_dir.exists()); - assert!(cleaned, "background cleanup must remove both .stale entries within 2s"); - assert!(!leaked_file.exists(), "leaked file under leaked subdir must be removed"); + assert!( + cleaned, + "background cleanup must remove both .stale entries within 2s" + ); + assert!( + !leaked_file.exists(), + "leaked file under leaked subdir must be removed" + ); // Spill root itself preserved. - assert!(spill_path.exists(), "spill mount-point dir must be preserved"); - assert!(spill_path.is_dir(), "spill mount-point must remain a directory"); + assert!( + spill_path.exists(), + "spill mount-point dir must be preserved" + ); + assert!( + spill_path.is_dir(), + "spill mount-point must remain a directory" + ); unsafe { close_global_runtime(ptr) }; } @@ -2257,12 +2495,18 @@ mod tests { assert!(ptr > 0); // Phase 1: symlink is renamed inline (fs::rename does not follow symlinks). - assert!(!link.exists(), "symlink original name must be gone (renamed)"); + assert!( + !link.exists(), + "symlink original name must be gone (renamed)" + ); let stale_link = spill_path.join("escape_link.stale"); // Phase 2: remove_file on a symlink unlinks the link itself, never the target. let cleaned = wait_until(2000, || !stale_link.exists()); - assert!(cleaned, "background cleanup must remove escape_link.stale within 2s"); + assert!( + cleaned, + "background cleanup must remove escape_link.stale within 2s" + ); // Critical: the target outside spill must be intact across both phases. // If phase 1 had followed the symlink during rename, or phase 2 followed @@ -2308,7 +2552,10 @@ mod tests { let stale_a = tmp.path().join("datafusion-aB3kF7.stale"); let stale_b = tmp.path().join("datafusion-Xy9pQ2.stale"); let cleaned = wait_until(2000, || !stale_a.exists() && !stale_b.exists()); - assert!(cleaned, "background cleanup must remove both *.stale entries within 2s"); + assert!( + cleaned, + "background cleanup must remove both *.stale entries within 2s" + ); unsafe { close_global_runtime(ptr) }; } @@ -2330,7 +2577,10 @@ mod tests { assert!(ptr > 0); let cleaned = wait_until(2000, || !leftover.exists()); - assert!(cleaned, "prior-boot .stale leftover must be cleaned within 2s"); + assert!( + cleaned, + "prior-boot .stale leftover must be cleaned within 2s" + ); assert!( !tmp.path().join("datafusion-old.stale.stale").exists(), "phase 1 must NOT double-suffix existing .stale entries" @@ -2347,7 +2597,8 @@ mod tests { let strings: Vec = (0..total_rows) .map(|i| format!("long_string_value_{:06}_padding", i)) .collect(); - let string_view_array = StringViewArray::from_iter_values(strings.iter().map(|s| s.as_str())); + let string_view_array = + StringViewArray::from_iter_values(strings.iter().map(|s| s.as_str())); let int_array = Int64Array::from_iter_values(0..total_rows as i64); let schema = Arc::new(Schema::new(vec![ @@ -2382,9 +2633,11 @@ mod tests { let strings: Vec<&str> = (0..100).map(|_| "short").collect(); let string_view_array = StringViewArray::from_iter_values(strings.into_iter()); - let schema = Arc::new(Schema::new(vec![ - Field::new("str_col", DataType::Utf8View, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "str_col", + DataType::Utf8View, + false, + )])); let batch = RecordBatch::try_new(schema, vec![Arc::new(string_view_array.clone())]).unwrap(); @@ -2397,9 +2650,11 @@ mod tests { #[test] fn stringview_gc_empty_array() { let string_view_array = StringViewArray::from_iter_values(std::iter::empty::<&str>()); - let schema = Arc::new(Schema::new(vec![ - Field::new("str_col", DataType::Utf8View, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "str_col", + DataType::Utf8View, + false, + )])); let batch = RecordBatch::try_new(schema, vec![Arc::new(string_view_array)]).unwrap(); let compacted = compact_string_view_columns(batch); assert_eq!(compacted.num_rows(), 0); @@ -2445,9 +2700,11 @@ mod tests { #[test] fn no_view_columns_passthrough() { let int_array = Int64Array::from_iter_values(0..1000); - let schema = Arc::new(Schema::new(vec![ - Field::new("int_col", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "int_col", + DataType::Int64, + false, + )])); let batch = RecordBatch::try_new(schema, vec![Arc::new(int_array)]).unwrap(); let compacted = compact_string_view_columns(batch.clone()); assert_eq!( @@ -2461,14 +2718,16 @@ mod tests { let strings: Vec = (0..1000) .map(|i| format!("long_string_value_{:06}_padding", i)) .collect(); - let string_view_array: Arc = - Arc::new(StringViewArray::from_iter_values(strings.iter().map(|s| s.as_str()))); + let string_view_array: Arc = Arc::new(StringViewArray::from_iter_values( + strings.iter().map(|s| s.as_str()), + )); - let schema = Arc::new(Schema::new(vec![ - Field::new("str_col", DataType::Utf8View, false), - ])); - let batch = - RecordBatch::try_new(schema, vec![Arc::clone(&string_view_array)]).unwrap(); + let schema = Arc::new(Schema::new(vec![Field::new( + "str_col", + DataType::Utf8View, + false, + )])); + let batch = RecordBatch::try_new(schema, vec![Arc::clone(&string_view_array)]).unwrap(); let compacted = compact_string_view_columns(batch); @@ -2493,18 +2752,23 @@ mod tests { let strings: Vec = (0..10_000) .map(|i| format!("long_string_value_{:06}_padding", i)) .collect(); - let full_array = - StringViewArray::from_iter_values(strings.iter().map(|s| s.as_str())); + let full_array = StringViewArray::from_iter_values(strings.iter().map(|s| s.as_str())); let sliced = full_array.slice(0, 100); let sliced_view: &StringViewArray = sliced.as_any().downcast_ref().unwrap(); assert!( - view_needs_gc(sliced_view.data_buffers(), sliced_view.total_buffer_bytes_used()), + view_needs_gc( + sliced_view.data_buffers(), + sliced_view.total_buffer_bytes_used() + ), "Sliced array must be detected as needing gc" ); assert!( - !view_needs_gc(full_array.data_buffers(), full_array.total_buffer_bytes_used()), + !view_needs_gc( + full_array.data_buffers(), + full_array.total_buffer_bytes_used() + ), "Non-sliced array must NOT need gc" ); } @@ -2517,11 +2781,23 @@ mod tests { // Clamps to the [1, 32] range used by the datafusion.reduce.target_partitions setting. set_reduce_target_partitions(0); - assert_eq!(get_reduce_target_partitions(), 1, "values below 1 clamp up to 1"); + assert_eq!( + get_reduce_target_partitions(), + 1, + "values below 1 clamp up to 1" + ); set_reduce_target_partitions(-5); - assert_eq!(get_reduce_target_partitions(), 1, "negative values clamp up to 1"); + assert_eq!( + get_reduce_target_partitions(), + 1, + "negative values clamp up to 1" + ); set_reduce_target_partitions(1000); - assert_eq!(get_reduce_target_partitions(), 32, "values above 32 clamp down to 32"); + assert_eq!( + get_reduce_target_partitions(), + 32, + "values above 32 clamp down to 32" + ); // Boundary values pass through unchanged. set_reduce_target_partitions(1); @@ -2651,15 +2927,25 @@ fn ascending_row_id_check_stream( /// Verify the fetch-result schema carries `__row_id__` plus every requested column. /// Body only runs under `debug_assertions` (called from a `debug_assert!`). -fn assert_fetch_result_schema(schema: &datafusion::arrow::datatypes::Schema, columns: &[String]) -> bool { +fn assert_fetch_result_schema( + schema: &datafusion::arrow::datatypes::Schema, + columns: &[String], +) -> bool { if schema.column_with_name(crate::ROW_ID_COLUMN_NAME).is_none() { let names: Vec = schema.fields().iter().map(|f| f.name().clone()).collect(); - panic!("fetch_by_row_ids: result schema missing {}, got {:?}", crate::ROW_ID_COLUMN_NAME, names); + panic!( + "fetch_by_row_ids: result schema missing {}, got {:?}", + crate::ROW_ID_COLUMN_NAME, + names + ); } for col in columns { if schema.column_with_name(col).is_none() { let names: Vec = schema.fields().iter().map(|f| f.name().clone()).collect(); - panic!("fetch_by_row_ids: result schema missing requested column {}, got {:?}", col, names); + panic!( + "fetch_by_row_ids: result schema missing requested column {}, got {:?}", + col, names + ); } } true diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs index 05af240173bb4..4c4adf85f69cf 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/custom_cache_manager.rs @@ -6,22 +6,26 @@ * compatible open source license. */ -use std::sync::Arc; -use datafusion::execution::cache::cache_manager::{FileMetadataCache, FileStatisticsCache, CacheManagerConfig}; -use datafusion::execution::cache::file_statistics_cache::DefaultFileStatisticsCache; -use datafusion::execution::cache::CacheAccessor; -use crate::cache::statistics_cache::{compute_parquet_statistics, compute_parquet_statistics_from_metadata}; use crate::cache::metadata_cache::MutexFileMetadataCache; use crate::cache::statistics_cache::CustomStatisticsCache; -use object_store::path::Path; -use object_store::ObjectMeta; -use object_store::ObjectStore; -use native_bridge_common::log_debug; +use crate::cache::statistics_cache::{ + compute_parquet_statistics, compute_parquet_statistics_from_metadata, +}; use crate::cache::{metadata_cache, page_index}; use crate::indexed_table::parquet_bridge; -use opensearch_tiered_storage::tiered_object_store::MetadataCachingStore; use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; +use datafusion::execution::cache::cache_manager::{ + CacheManagerConfig, FileMetadataCache, FileStatisticsCache, +}; +use datafusion::execution::cache::file_statistics_cache::DefaultFileStatisticsCache; +use datafusion::execution::cache::CacheAccessor; use log::{debug, error}; +use native_bridge_common::log_debug; +use object_store::path::Path; +use object_store::ObjectMeta; +use object_store::ObjectStore; +use opensearch_tiered_storage::tiered_object_store::MetadataCachingStore; +use std::sync::Arc; /// Compute the page-index regions to warm, as SEPARATE column-index (CI) and /// offset-index (OI) whole regions — matching exactly how the query-time @@ -38,12 +42,18 @@ use log::{debug, error}; /// IMPORTANT: warmup must write these as TWO keys (CI, OI) — NOT one merged /// CI∪OI range. The query probes the CI whole region and the OI whole region /// under separate keys, so a single merged key would never match (warm miss). -pub(crate) fn compute_page_index_range(metadata: &parquet::file::metadata::ParquetMetaData) -> Vec> { +pub(crate) fn compute_page_index_range( + metadata: &parquet::file::metadata::ParquetMetaData, +) -> Vec> { // Column-index whole region across all columns × all row groups. - let ci_region = metadata.row_groups().iter() + let ci_region = metadata + .row_groups() + .iter() .flat_map(|rg| rg.columns().iter()) .fold(None::>, |acc, col| { - if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + if let (Some(offset), Some(length)) = + (col.column_index_offset(), col.column_index_length()) + { let start = offset as u64; let end = start + length as u64; match acc { @@ -56,10 +66,14 @@ pub(crate) fn compute_page_index_range(metadata: &parquet::file::metadata::Parqu }); // Offset-index whole region across all columns × all row groups. - let oi_region = metadata.row_groups().iter() + let oi_region = metadata + .row_groups() + .iter() .flat_map(|rg| rg.columns().iter()) .fold(None::>, |acc, col| { - if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(offset), Some(length)) = + (col.offset_index_offset(), col.offset_index_length()) + { let start = offset as u64; let end = start + length as u64; match acc { @@ -82,16 +96,23 @@ pub(crate) fn compute_page_index_range(metadata: &parquet::file::metadata::Parqu } /// Create ObjectMeta from a local file path. -fn create_object_meta_from_file(file_path: &str) -> Result, datafusion::common::DataFusionError> { +fn create_object_meta_from_file( + file_path: &str, +) -> Result, datafusion::common::DataFusionError> { use chrono::{DateTime, Utc}; use datafusion::common::DataFusionError; - let metadata = std::fs::metadata(file_path) - .map_err(|e| DataFusionError::Execution(format!("Failed to get file metadata for {}: {}", file_path, e)))?; + let metadata = std::fs::metadata(file_path).map_err(|e| { + DataFusionError::Execution(format!( + "Failed to get file metadata for {}: {}", + file_path, e + )) + })?; let file_size = metadata.len(); - let modified = metadata.modified() + let modified = metadata + .modified() .map(|t| DateTime::::from(t)) .unwrap_or_else(|_| Utc::now()); @@ -144,7 +165,10 @@ impl CustomCacheManager { pub fn set_column_index_cache(&mut self, size_limit: usize) { crate::cache::page_index::set_column_index_cache_limit(size_limit); self.column_index_registered = true; - log_debug!("[CACHE INFO] Column index cache registered (limit={} bytes)", size_limit); + log_debug!( + "[CACHE INFO] Column index cache registered (limit={} bytes)", + size_limit + ); } /// Register the offset index cache with the given size limit. @@ -152,7 +176,10 @@ impl CustomCacheManager { pub fn set_offset_index_cache(&mut self, size_limit: usize) { crate::cache::page_index::set_offset_index_cache_limit(size_limit); self.offset_index_registered = true; - log_debug!("[CACHE INFO] Offset index cache registered (limit={} bytes)", size_limit); + log_debug!( + "[CACHE INFO] Offset index cache registered (limit={} bytes)", + size_limit + ); } /// Get the statistics cache @@ -162,7 +189,9 @@ impl CustomCacheManager { /// Get the file metadata cache as Arc for DataFusion pub fn get_file_metadata_cache_for_datafusion(&self) -> Option> { - self.file_metadata_cache.as_ref().map(|cache| cache.clone() as Arc) + self.file_metadata_cache + .as_ref() + .map(|cache| cache.clone() as Arc) } /// Build a CacheManagerConfig from the caches stored in this CustomCacheManager @@ -171,13 +200,16 @@ impl CustomCacheManager { // Add file metadata cache if available if let Some(cache) = self.get_file_metadata_cache_for_datafusion() { - config = config.with_file_metadata_cache(Some(cache.clone())) + config = config + .with_file_metadata_cache(Some(cache.clone())) .with_metadata_cache_limit(cache.cache_limit()); } // Add statistics cache if available - use CustomStatisticsCache directly if let Some(stats_cache) = &self.statistics_cache { - config = config.with_file_statistics_cache(Some(stats_cache.clone() as Arc)); + config = config.with_file_statistics_cache(Some( + stats_cache.clone() as Arc + )); } else { // Default statistics cache if none set let default_stats = Arc::new(DefaultFileStatisticsCache::default()); @@ -193,7 +225,11 @@ impl CustomCacheManager { /// read per file: `load_parquet_metadata` fetches the footer, caches it, and /// returns `(schema, ParquetMetaData)`. Statistics are then computed from that /// already-decoded metadata — avoiding a second file read. - pub fn add_files(&self, file_paths: &[String], rt_handle: &tokio::runtime::Handle) -> Result, String> { + pub fn add_files( + &self, + file_paths: &[String], + rt_handle: &tokio::runtime::Handle, + ) -> Result, String> { let mut results = Vec::new(); for file_path in file_paths { @@ -215,7 +251,9 @@ impl CustomCacheManager { let meta = ObjectMeta { location: path.clone(), last_modified: chrono::Utc::now(), - size: std::fs::metadata(file_path).map(|m| m.len()).unwrap_or(0), + size: std::fs::metadata(file_path) + .map(|m| m.len()) + .unwrap_or(0), e_tag: None, version: None, }; @@ -229,14 +267,21 @@ impl CustomCacheManager { } } Ok(None) => { - log_debug!("[CACHE INFO] File not added for metadata cache: {}", file_path); + log_debug!( + "[CACHE INFO] File not added for metadata cache: {}", + file_path + ); } Err(e) => { errors.push(format!("Metadata cache: {}", e)); } } - let success = if !errors.is_empty() && !any_success { false } else { any_success }; + let success = if !errors.is_empty() && !any_success { + false + } else { + any_success + }; results.push((file_path.clone(), success)); } @@ -260,7 +305,10 @@ impl CustomCacheManager { if cache_guard.remove(&path).is_some() { any_removed = true; } else { - log_debug!("[CACHE INFO] File not found in metadata cache: {}", file_path); + log_debug!( + "[CACHE INFO] File not found in metadata cache: {}", + file_path + ); } } Err(e) => { @@ -333,13 +381,14 @@ impl CustomCacheManager { .and_then(|cache| cache.get(&path)) .is_some() } - crate::cache::metadata_cache::CACHE_TYPE_STATS => { - self.statistics_cache - .as_ref() - .map_or(false, |cache| cache.contains_key(&Path::from(file_path))) - } + crate::cache::metadata_cache::CACHE_TYPE_STATS => self + .statistics_cache + .as_ref() + .map_or(false, |cache| cache.contains_key(&Path::from(file_path))), metadata_cache::CACHE_TYPE_COLUMN_INDEX => { - if !self.column_index_registered { return false; } + if !self.column_index_registered { + return false; + } let stats = page_index::column_index_cache_stats(); // CI is keyed by (file, col) — a file is "present" if entries > 0 and // we match by prefix; check via evict-probe is heavy so we approximate @@ -348,11 +397,13 @@ impl CustomCacheManager { stats.entries > 0 } metadata_cache::CACHE_TYPE_OFFSET_INDEX => { - if !self.offset_index_registered { return false; } + if !self.offset_index_registered { + return false; + } let stats = page_index::offset_index_cache_stats(); stats.entries > 0 } - _ => false + _ => false, } } @@ -366,7 +417,8 @@ impl CustomCacheManager { /// Update the statistics cache size limit pub fn update_statistics_cache_limit(&self, new_limit: usize) -> Result<(), String> { if let Some(cache) = &self.statistics_cache { - cache.update_size_limit(new_limit) + cache + .update_size_limit(new_limit) .map_err(|e| format!("Failed to update statistics cache limit: {:?}", e)) } else { Err("No statistics cache configured".to_string()) @@ -424,12 +476,11 @@ impl CustomCacheManager { Err("No statistics cache configured".to_string()) } } - metadata_cache::CACHE_TYPE_COLUMN_INDEX - | metadata_cache::CACHE_TYPE_OFFSET_INDEX => { + metadata_cache::CACHE_TYPE_COLUMN_INDEX | metadata_cache::CACHE_TYPE_OFFSET_INDEX => { page_index::clear_scoped_cache(); Ok(()) } - _ => Err(format!("Unknown cache type: {}", cache_type)) + _ => Err(format!("Unknown cache type: {}", cache_type)), } } @@ -460,7 +511,7 @@ impl CustomCacheManager { metadata_cache::CACHE_TYPE_OFFSET_INDEX => { Ok(page_index::offset_index_cache_stats().used_bytes) } - _ => Err(format!("Unknown cache type: {}", cache_type)) + _ => Err(format!("Unknown cache type: {}", cache_type)), } } @@ -473,7 +524,13 @@ impl CustomCacheManager { &self, file_path: &str, rt_handle: &tokio::runtime::Handle, - ) -> Result)>, String> { + ) -> Result< + Option<( + datafusion::arrow::datatypes::SchemaRef, + Arc, + )>, + String, + > { if !file_path.to_lowercase().ends_with(".parquet") { return Ok(None); } @@ -481,19 +538,23 @@ impl CustomCacheManager { let object_metas = create_object_meta_from_file(file_path) .map_err(|e| format!("Failed to get object metadata: {}", e))?; - let object_meta = object_metas.first() + let object_meta = object_metas + .first() .ok_or_else(|| "No object metadata returned".to_string())?; let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); - let metadata_cache = self.file_metadata_cache.as_ref() + let metadata_cache = self + .file_metadata_cache + .as_ref() .ok_or_else(|| "No file metadata cache configured".to_string())? .clone() as Arc; let location = object_meta.location.clone(); let meta = object_meta.clone(); let (schema, _size, pq_meta) = rt_handle.block_on(async { - parquet_bridge::load_parquet_metadata_with_meta(store, &location, meta, metadata_cache).await + parquet_bridge::load_parquet_metadata_with_meta(store, &location, meta, metadata_cache) + .await })?; Ok(Some((schema, pq_meta))) @@ -523,7 +584,10 @@ impl CustomCacheManager { results.push((file_path.clone(), success)); } Err(e) => { - error!("[CACHE ERROR] add_files_with_store failed for {}: {}", file_path, e); + error!( + "[CACHE ERROR] add_files_with_store failed for {}: {}", + file_path, e + ); results.push((file_path.clone(), false)); } } @@ -549,12 +613,15 @@ impl CustomCacheManager { } // Step 1: Fetch footer only → heap cache (parsed ParquetMetaData) - let (parquet_metadata, object_meta) = self.fetch_footer_to_heap(file_path, store, rt_handle)?; + let (parquet_metadata, object_meta) = + self.fetch_footer_to_heap(file_path, store, rt_handle)?; // Step 2: Derive statistics from the same parsed metadata → statistics cache. // Reuses `parquet_metadata` so we don't re-fetch through the store. Failures // here are non-fatal — they only mean the first query will recompute statistics. - if let Err(e) = self.statistics_cache_put_from_parsed(file_path, &parquet_metadata, &object_meta) { + if let Err(e) = + self.statistics_cache_put_from_parsed(file_path, &parquet_metadata, &object_meta) + { error!( "[warmup::warmup_file_with_store] statistics_cache_put failed for {}: {} (non-fatal)", file_path, e @@ -585,7 +652,8 @@ impl CustomCacheManager { index_ranges.push(postscript_start..object_meta.size); // Step 4: Fetch the ranges through the store (populates data Foyer on the way). - let fetched_bytes = Self::fetch_ranges_via_store(store, file_path, &index_ranges, rt_handle)?; + let fetched_bytes = + Self::fetch_ranges_via_store(store, file_path, &index_ranges, rt_handle)?; // Step 5: Promote bytes to metadata Foyer (never-evict tier). // No-op when `store` is not a TieredObjectStore (default trait impl is no-op). @@ -621,26 +689,33 @@ impl CustomCacheManager { // Head call to get file size (TieredObjectStore serves from registry) let object_meta = rt_handle.block_on(async { use object_store::ObjectStoreExt; - store.head(&path).await + store + .head(&path) + .await .map_err(|e| format!("Failed to head {}: {}", file_path, e)) })?; - let cache_ref = self.file_metadata_cache.as_ref() + let cache_ref = self + .file_metadata_cache + .as_ref() .ok_or_else(|| "No file metadata cache configured".to_string())?; let metadata_cache = cache_ref.clone() as Arc; // Do NOT pass file_metadata_cache here — that triggers PageIndexPolicy::Optional // which loads page indexes into the heap struct. Instead, load footer only // and manually put into the heap cache afterward. - let parquet_metadata: Arc = rt_handle.block_on(async { - let df_metadata = DFParquetMetadata::new(store.as_ref(), &object_meta); - df_metadata.fetch_metadata().await - .map_err(|e| format!("Failed to fetch footer: {}", e)) - })?; + let parquet_metadata: Arc = + rt_handle.block_on(async { + let df_metadata = DFParquetMetadata::new(store.as_ref(), &object_meta); + df_metadata + .fetch_metadata() + .await + .map_err(|e| format!("Failed to fetch footer: {}", e)) + })?; // Put lightweight footer-only metadata into heap cache - use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; + use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; use datafusion::execution::cache::CacheAccessor; let cached_entry = CachedFileMetadataEntry::new( object_meta.clone(), @@ -663,7 +738,9 @@ impl CustomCacheManager { } let path = Path::from(file_path.to_string()); rt_handle.block_on(async { - store.get_ranges(&path, ranges).await + store + .get_ranges(&path, ranges) + .await .map_err(|e| format!("Failed to fetch ranges for {}: {}", file_path, e)) }) } @@ -675,7 +752,9 @@ impl CustomCacheManager { /// [`Self::statistics_cache_put_from_parsed`], which reuses already-parsed /// `ParquetMetaData` from the warmup pass instead of opening the file locally pub fn statistics_cache_compute_and_put(&self, file_path: &str) -> Result { - let cache = self.statistics_cache.as_ref() + let cache = self + .statistics_cache + .as_ref() .ok_or_else(|| "No statistics cache configured".to_string())?; let path = Path::from(file_path.to_string()); @@ -691,9 +770,7 @@ impl CustomCacheManager { let meta = ObjectMeta { location: path.clone(), last_modified: chrono::Utc::now(), - size: std::fs::metadata(file_path) - .map(|m| m.len()) - .unwrap_or(0), + size: std::fs::metadata(file_path).map(|m| m.len()).unwrap_or(0), e_tag: None, version: None, }; @@ -701,9 +778,10 @@ impl CustomCacheManager { cache.put_statistics(&path, Arc::new(stats), &meta); Ok(true) } - Err(e) => { - Err(format!("Failed to compute statistics for {}: {}", file_path, e)) - } + Err(e) => Err(format!( + "Failed to compute statistics for {}: {}", + file_path, e + )), } } @@ -737,8 +815,11 @@ impl CustomCacheManager { let file_metadata = parquet_metadata.file_metadata(); let schema = Arc::new( - parquet_to_arrow_schema(file_metadata.schema_descr(), file_metadata.key_value_metadata()) - .map_err(|e| format!("failed to derive arrow schema for {}: {}", file_path, e))?, + parquet_to_arrow_schema( + file_metadata.schema_descr(), + file_metadata.key_value_metadata(), + ) + .map_err(|e| format!("failed to derive arrow schema for {}: {}", file_path, e))?, ); let stats = DFParquetMetadata::statistics_from_parquet_metadata(parquet_metadata, &schema) @@ -749,8 +830,13 @@ impl CustomCacheManager { } /// Batch compute and cache statistics for multiple files - pub fn statistics_cache_batch_compute_and_put(&self, file_paths: &[String]) -> Result { - let cache = self.statistics_cache.as_ref() + pub fn statistics_cache_batch_compute_and_put( + &self, + file_paths: &[String], + ) -> Result { + let cache = self + .statistics_cache + .as_ref() .ok_or_else(|| "No statistics cache configured".to_string())?; let mut success_count = 0; @@ -769,9 +855,7 @@ impl CustomCacheManager { let meta = ObjectMeta { location: path.clone(), last_modified: chrono::Utc::now(), - size: std::fs::metadata(file_path) - .map(|m| m.len()) - .unwrap_or(0), + size: std::fs::metadata(file_path).map(|m| m.len()).unwrap_or(0), e_tag: None, version: None, }; @@ -780,15 +864,22 @@ impl CustomCacheManager { success_count += 1; } Err(e) => { - native_bridge_common::log_debug!("[STATS CACHE ERROR] Failed to compute statistics for {}: {}", file_path, e); + native_bridge_common::log_debug!( + "[STATS CACHE ERROR] Failed to compute statistics for {}: {}", + file_path, + e + ); failed_files.push(file_path.clone()); } } } if !failed_files.is_empty() { - native_bridge_common::log_debug!("[STATS CACHE WARNING] Failed to compute statistics for {} files: {:?}", - failed_files.len(), failed_files); + native_bridge_common::log_debug!( + "[STATS CACHE WARNING] Failed to compute statistics for {} files: {:?}", + failed_files.len(), + failed_files + ); } Ok(success_count) @@ -796,7 +887,9 @@ impl CustomCacheManager { /// Get or compute statistics pub fn statistics_cache_get_or_compute(&self, file_path: &str) -> Result { - let cache = self.statistics_cache.as_ref() + let cache = self + .statistics_cache + .as_ref() .ok_or_else(|| "No statistics cache configured".to_string())?; let path = Path::from(file_path.to_string()); @@ -810,35 +903,40 @@ impl CustomCacheManager { /// Get statistics cache hit count pub fn statistics_cache_hit_count(&self) -> usize { - self.statistics_cache.as_ref() + self.statistics_cache + .as_ref() .map(|cache| cache.hit_count()) .unwrap_or(0) } /// Get statistics cache miss count pub fn statistics_cache_miss_count(&self) -> usize { - self.statistics_cache.as_ref() + self.statistics_cache + .as_ref() .map(|cache| cache.miss_count()) .unwrap_or(0) } /// Get statistics cache hit rate pub fn statistics_cache_hit_rate(&self) -> f64 { - self.statistics_cache.as_ref() + self.statistics_cache + .as_ref() .map(|cache| cache.hit_rate()) .unwrap_or(0.0) } /// Get statistics cache entry count pub fn statistics_cache_entry_count(&self) -> usize { - self.statistics_cache.as_ref() + self.statistics_cache + .as_ref() .map(|cache| >::len(cache)) .unwrap_or(0) } /// Get statistics cache size limit in bytes pub fn statistics_cache_size_limit(&self) -> usize { - self.statistics_cache.as_ref() + self.statistics_cache + .as_ref() .map(|cache| cache.current_size_limit()) .unwrap_or(0) } @@ -852,28 +950,32 @@ impl CustomCacheManager { /// Get metadata cache hit count pub fn metadata_cache_hit_count(&self) -> usize { - self.file_metadata_cache.as_ref() + self.file_metadata_cache + .as_ref() .map(|cache| cache.hit_count()) .unwrap_or(0) } /// Get metadata cache miss count pub fn metadata_cache_miss_count(&self) -> usize { - self.file_metadata_cache.as_ref() + self.file_metadata_cache + .as_ref() .map(|cache| cache.miss_count()) .unwrap_or(0) } /// Get metadata cache entry count pub fn metadata_cache_entry_count(&self) -> usize { - self.file_metadata_cache.as_ref() + self.file_metadata_cache + .as_ref() .map(|cache| >::len(cache)) .unwrap_or(0) } /// Get metadata cache size limit in bytes pub fn metadata_cache_size_limit(&self) -> usize { - self.file_metadata_cache.as_ref() + self.file_metadata_cache + .as_ref() .map(|cache| cache.get_cache_limit()) .unwrap_or(0) } @@ -888,13 +990,13 @@ impl CustomCacheManager { #[cfg(test)] mod tests { - use crate::cache::{CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_OFFSET_INDEX}; use super::*; use crate::cache::eviction_policy::PolicyType; use crate::cache::page_index::{ - SCOPED_CACHE_TEST_GUARD, clear_scoped_cache_for_test, column_index_cache_stats, - offset_index_cache_stats, + clear_scoped_cache_for_test, column_index_cache_stats, offset_index_cache_stats, + SCOPED_CACHE_TEST_GUARD, }; + use crate::cache::{CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_OFFSET_INDEX}; #[test] fn set_column_index_cache_registers_and_sets_limit() { @@ -957,11 +1059,13 @@ mod tests { // On empty cache both return 0 bytes (no entries yet). assert_eq!( - mgr.get_memory_consumed_by_type(CACHE_TYPE_COLUMN_INDEX).unwrap(), + mgr.get_memory_consumed_by_type(CACHE_TYPE_COLUMN_INDEX) + .unwrap(), 0 ); assert_eq!( - mgr.get_memory_consumed_by_type(CACHE_TYPE_OFFSET_INDEX).unwrap(), + mgr.get_memory_consumed_by_type(CACHE_TYPE_OFFSET_INDEX) + .unwrap(), 0 ); @@ -1002,7 +1106,11 @@ mod tests { /// Write an in-memory parquet file and return its raw bytes. `stats` controls /// whether page indexes (column-index + offset-index) are emitted into the footer. - fn parquet_bytes(num_cols: usize, num_rg: usize, stats: parquet::file::properties::EnabledStatistics) -> bytes::Bytes { + fn parquet_bytes( + num_cols: usize, + num_rg: usize, + stats: parquet::file::properties::EnabledStatistics, + ) -> bytes::Bytes { use arrow::array::{Int64Array, RecordBatch}; use arrow::datatypes::{DataType, Field, Schema}; use parquet::arrow::ArrowWriter; @@ -1027,7 +1135,8 @@ mod tests { let base = (rg * 100) as i64; let cols: Vec> = (0..num_cols) .map(|c| { - let vals: Vec = (base..base + 40).map(|v| v + (c as i64 * 1000)).collect(); + let vals: Vec = + (base..base + 40).map(|v| v + (c as i64 * 1000)).collect(); Arc::new(Int64Array::from(vals)) as Arc }) .collect(); @@ -1053,25 +1162,36 @@ mod tests { let metadata = reader.metadata(); let ranges = compute_page_index_range(metadata); - assert_eq!(ranges.len(), 2, "page-indexed file must yield separate CI and OI regions"); + assert_eq!( + ranges.len(), + 2, + "page-indexed file must yield separate CI and OI regions" + ); let (ci, oi) = (ranges[0].clone(), ranges[1].clone()); assert!(ci.end > ci.start, "CI region must be non-empty"); assert!(oi.end > oi.start, "OI region must be non-empty"); - assert_ne!(ci, oi, "CI and OI must be distinct warm-tier keys (not merged)"); + assert_ne!( + ci, oi, + "CI and OI must be distinct warm-tier keys (not merged)" + ); // Compute the expected tight folds independently and compare. let mut exp_ci: Option> = None; let mut exp_oi: Option> = None; for rg in metadata.row_groups() { for col in rg.columns() { - if let (Some(off), Some(len)) = (col.column_index_offset(), col.column_index_length()) { + if let (Some(off), Some(len)) = + (col.column_index_offset(), col.column_index_length()) + { let (s, e) = (off as u64, off as u64 + len as u64); exp_ci = Some(match exp_ci { Some(a) => a.start.min(s)..a.end.max(e), None => s..e, }); } - if let (Some(off), Some(len)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(off), Some(len)) = + (col.offset_index_offset(), col.offset_index_length()) + { let (s, e) = (off as u64, off as u64 + len as u64); exp_oi = Some(match exp_oi { Some(a) => a.start.min(s)..a.end.max(e), @@ -1080,8 +1200,16 @@ mod tests { } } } - assert_eq!(Some(ci), exp_ci, "CI region must equal the tight min..max fold of all column_index extents"); - assert_eq!(Some(oi), exp_oi, "OI region must equal the tight min..max fold of all offset_index extents"); + assert_eq!( + Some(ci), + exp_ci, + "CI region must equal the tight min..max fold of all column_index extents" + ); + assert_eq!( + Some(oi), + exp_oi, + "OI region must equal the tight min..max fold of all offset_index extents" + ); } /// With page statistics disabled the column index is absent (it requires @@ -1102,14 +1230,18 @@ mod tests { let mut exp_oi: Option> = None; for rg in metadata.row_groups() { for col in rg.columns() { - if let (Some(off), Some(len)) = (col.column_index_offset(), col.column_index_length()) { + if let (Some(off), Some(len)) = + (col.column_index_offset(), col.column_index_length()) + { let (s, e) = (off as u64, off as u64 + len as u64); exp_ci = Some(match exp_ci { Some(a) => a.start.min(s)..a.end.max(e), None => s..e, }); } - if let (Some(off), Some(len)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(off), Some(len)) = + (col.offset_index_offset(), col.offset_index_length()) + { let (s, e) = (off as u64, off as u64 + len as u64); exp_oi = Some(match exp_oi { Some(a) => a.start.min(s)..a.end.max(e), @@ -1132,6 +1264,9 @@ mod tests { "result must equal the independent [CI?, OI?] fold, skipping absent index kinds" ); // Column index requires page-level statistics; with stats disabled it must be absent. - assert!(exp_ci.is_none(), "column index must be absent when statistics are disabled"); + assert!( + exp_ci.is_none(), + "column index must be absent when statistics are disabled" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs index 6d7eef0b4fca4..389652acf15dd 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/eviction_policy.rs @@ -10,10 +10,10 @@ //! //! Simple pluggable cache eviction policies for statistics cache. -use std::sync::Arc; -use std::sync::atomic::Ordering; use datafusion::common::instant; use instant::Instant; +use std::sync::atomic::Ordering; +use std::sync::Arc; use thiserror::Error; /// Error types for cache operations @@ -302,8 +302,8 @@ impl CachePolicy for LfuPolicy { /// flag the missing arm here. pub fn create_policy(policy_type: CacheEvictionPolicy) -> Option> { match policy_type { - CacheEvictionPolicy::Lru => Some(Arc::new(LruPolicy::new())), - CacheEvictionPolicy::Lfu => Some(Arc::new(LfuPolicy::new())), + CacheEvictionPolicy::Lru => Some(Arc::new(LruPolicy::new())), + CacheEvictionPolicy::Lfu => Some(Arc::new(LfuPolicy::new())), CacheEvictionPolicy::Fifo => None, } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs index 04d1e80edc3d3..2a18cd341f59b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/metadata_cache.rs @@ -9,6 +9,7 @@ use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; +use crate::parquet_page_cache::is_scoped_page_index_enabled; use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; use datafusion::execution::cache::cache_manager::{ CachedFileMetadataEntry, FileMetadataCache, FileMetadataCacheEntry, @@ -16,9 +17,8 @@ use datafusion::execution::cache::cache_manager::{ use datafusion::execution::cache::CacheAccessor; use datafusion::execution::cache::DefaultFilesMetadataCache; use datafusion::parquet::file::metadata::ParquetMetaData; -use object_store::path::Path; use native_bridge_common::log_error; -use crate::parquet_page_cache::is_scoped_page_index_enabled; +use object_store::path::Path; // Cache type constants pub const CACHE_TYPE_METADATA: &str = "METADATA"; @@ -297,14 +297,20 @@ mod strip_page_index_tests { fn put_strips_page_index_and_get_returns_footer_only() { let bytes = parquet_with_page_index(); let entry = full_index_entry(&bytes); - assert!(page_index_present(&entry), "precondition: entry has page index"); + assert!( + page_index_present(&entry), + "precondition: entry has page index" + ); let cache = MutexFileMetadataCache::new(DefaultFilesMetadataCache::new(64 * 1024 * 1024)); let key = Path::from("data.parquet"); cache.put(&key, entry); let got = cache.get(&key).expect("entry must be retrievable"); - assert!(!page_index_present(&got), "cached entry must be footer-only after put"); + assert!( + !page_index_present(&got), + "cached entry must be footer-only after put" + ); let cached = got .file_metadata .as_any() @@ -312,7 +318,10 @@ mod strip_page_index_tests { .unwrap(); let m = cached.parquet_metadata(); assert!(m.num_row_groups() > 0); - assert!(m.row_group(0).column(0).statistics().is_some(), "footer stats must survive"); + assert!( + m.row_group(0).column(0).statistics().is_some(), + "footer stats must survive" + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs index b7a4a623f928e..52c032825f0dc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/mod.rs @@ -32,6 +32,9 @@ pub mod statistics_cache; // Flat re-exports so existing call sites keep working without path changes. pub use custom_cache_manager::CustomCacheManager; -pub use eviction_policy::{CachePolicy, CacheResult, PolicyType, create_policy}; -pub use metadata_cache::{MutexFileMetadataCache, CACHE_TYPE_METADATA, CACHE_TYPE_STATS, CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_OFFSET_INDEX}; -pub use statistics_cache::{CustomStatisticsCache, compute_parquet_statistics}; +pub use eviction_policy::{create_policy, CachePolicy, CacheResult, PolicyType}; +pub use metadata_cache::{ + MutexFileMetadataCache, CACHE_TYPE_COLUMN_INDEX, CACHE_TYPE_METADATA, CACHE_TYPE_OFFSET_INDEX, + CACHE_TYPE_STATS, +}; +pub use statistics_cache::{compute_parquet_statistics, CustomStatisticsCache}; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs index 7dabe251071cc..76925e7859f81 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/cache_store.rs @@ -36,14 +36,14 @@ //! cold-path operation (file deletion or merge), not on the query hot path. use std::cell::UnsafeCell; +use std::collections::VecDeque; use std::fmt::Display; use std::hash::Hash; -use std::collections::VecDeque; use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering::Relaxed}; +use crate::eviction_policy::CacheEvictionPolicy; use dashmap::DashMap; use parking_lot::Mutex; -use crate::eviction_policy::CacheEvictionPolicy; /// Fallback byte budget used only in tests that bypass the Java startup path. /// In production the Java settings consumer always calls @@ -130,7 +130,9 @@ unsafe impl Sync for FifoPolicy {} impl FifoPolicy { pub(super) fn new() -> Self { - Self { queue: UnsafeCell::new(VecDeque::new()) } + Self { + queue: UnsafeCell::new(VecDeque::new()), + } } /// Borrow the queue mutably. Caller must hold the outer write lock. @@ -175,7 +177,10 @@ struct WriteState { impl WriteState { fn new(limit: usize) -> Self { - Self { used_bytes: 0, limit } + Self { + used_bytes: 0, + limit, + } } } @@ -288,7 +293,9 @@ where return; } - let old_size = self.map.insert(key.clone(), (value, size)) + let old_size = self + .map + .insert(key.clone(), (value, size)) .map(|(_, s)| s) .unwrap_or(0); @@ -326,7 +333,9 @@ where if size > limit { continue; } - let old_size = self.map.insert(key.clone(), (value, size)) + let old_size = self + .map + .insert(key.clone(), (value, size)) .map(|(_, s)| s) .unwrap_or(0); to_account.push((key, size, old_size)); @@ -360,7 +369,9 @@ where fn drain_to_limit(&self, w: &mut WriteState) -> u64 { let mut evicted = 0u64; while w.used_bytes > w.limit { - let Some(victim) = self.policy.next_victim() else { break }; + let Some(victim) = self.policy.next_victim() else { + break; + }; if let Some((_, (_, size))) = self.map.remove(&victim) { w.used_bytes = w.used_bytes.saturating_sub(size); evicted += 1; @@ -404,7 +415,9 @@ where pub(super) fn evict_by_prefix(&self, prefix: &str) { // Collect victims by iterating the DashMap (avoids holding the write // lock while doing string comparisons on every FIFO entry). - let victims: Vec = self.map.iter() + let victims: Vec = self + .map + .iter() .filter(|e| e.key().to_string().starts_with(prefix)) .map(|e| e.key().clone()) .collect(); @@ -453,10 +466,14 @@ mod tests { #[derive(Clone, PartialEq, Eq, Hash)] struct Key(String); impl std::fmt::Display for Key { - fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { f.write_str(&self.0) } + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.write_str(&self.0) + } } impl Key { - fn new(s: impl Into) -> Self { Key(s.into()) } + fn new(s: impl Into) -> Self { + Key(s.into()) + } } fn make_cache(limit: usize) -> BoundedCache> { @@ -481,7 +498,11 @@ mod tests { assert_eq!(c.stats().used_bytes, 8); c.insert(Key::new("c"), vec![], 4); let s = c.stats(); - assert!(s.used_bytes <= 10, "used_bytes={} must be <= limit=10", s.used_bytes); + assert!( + s.used_bytes <= 10, + "used_bytes={} must be <= limit=10", + s.used_bytes + ); assert!(s.evictions >= 1); } @@ -585,10 +606,17 @@ mod tests { } })); } - for h in handles { h.join().unwrap(); } + for h in handles { + h.join().unwrap(); + } let s = cache.stats(); - assert!(s.used_bytes <= LIMIT, "used_bytes={} > limit={}", s.used_bytes, LIMIT); + assert!( + s.used_bytes <= LIMIT, + "used_bytes={} > limit={}", + s.used_bytes, + LIMIT + ); let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); assert_eq!(map_total, s.used_bytes); } @@ -613,7 +641,9 @@ mod tests { } })); } - for h in handles { h.join().unwrap(); } + for h in handles { + h.join().unwrap(); + } let s = cache.stats(); assert!(s.used_bytes <= 200); let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); @@ -640,7 +670,9 @@ mod tests { } })); } - for h in handles { h.join().unwrap(); } + for h in handles { + h.join().unwrap(); + } cache.evict_by_prefix("hot/"); for entry in cache.map.iter() { assert!(!entry.key().0.starts_with("hot/")); @@ -659,14 +691,15 @@ mod tests { let c = Arc::clone(&cache); handles.push(std::thread::spawn(move || { for b in 0..50usize { - let batch = (0..5usize).map(|i| { - (Key::new(format!("t{t}:b{b}:i{i}")), vec![t as u8], 8) - }); + let batch = (0..5usize) + .map(|i| (Key::new(format!("t{t}:b{b}:i{i}")), vec![t as u8], 8)); c.insert_batch(batch); } })); } - for h in handles { h.join().unwrap(); } + for h in handles { + h.join().unwrap(); + } let s = cache.stats(); assert!(s.used_bytes <= LIMIT); let map_total: usize = cache.map.iter().map(|e| e.value().1).sum(); @@ -693,7 +726,9 @@ mod tests { c2.set_limit(1000); } })); - for h in handles { h.join().unwrap(); } + for h in handles { + h.join().unwrap(); + } let limit = cache.limit_snapshot.load(Relaxed); let s = cache.stats(); assert!(s.used_bytes <= limit); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs index 7e92a8507db67..003271e018f8d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/mod.rs @@ -72,14 +72,14 @@ //! [`read_columns_indexes`]/[`read_offset_indexes`] (the only public subset //! decoders). Migrate to `ParquetMetaDataOptions` when it grows a page-index knob. -pub mod cache_store; pub mod cache_keys; -pub mod page_index_io; +pub mod cache_store; pub mod column_schema_resolver; +pub mod page_index_io; -use cache_store::{BoundedCache, DEFAULT_SCOPED_CACHE_LIMIT}; use crate::cache::eviction_policy::CacheEvictionPolicy; use cache_keys::{CiCellKey, OiCellKey, OiColumn}; +use cache_store::{BoundedCache, DEFAULT_SCOPED_CACHE_LIMIT}; use datafusion::parquet::file::page_index::column_index::ColumnIndexMetaData; use once_cell::sync::Lazy; @@ -124,19 +124,21 @@ pub fn set_whole_region_fetch_enabled(enabled: bool) { } pub use cache_store::ScopedCacheStats; -pub use page_index_io::load_scoped_page_index_cols; pub use column_schema_resolver::{ - resolve_predicate_parquet_columns, - resolve_predicate_parquet_columns_pair, + resolve_predicate_parquet_columns, resolve_predicate_parquet_columns_pair, }; +pub use page_index_io::load_scoped_page_index_cols; // Process-global caches pub(crate) static COLUMN_INDEX_CACHE: Lazy> = - Lazy::new(|| BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo)); + Lazy::new(|| { + BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo) + }); -pub(crate) static OFFSET_INDEX_CACHE: Lazy> = - Lazy::new(|| BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo)); +pub(crate) static OFFSET_INDEX_CACHE: Lazy> = Lazy::new(|| { + BoundedCache::with_named_policy(DEFAULT_SCOPED_CACHE_LIMIT, CacheEvictionPolicy::Fifo) +}); /// Set the ColumnIndex cache's byte budget. Called from startup wiring with the /// configured limit. Idempotent; shrinking evicts immediately. Zero ignored. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs index a197592c10fec..87463d0456961 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/page_index/page_index_io.rs @@ -30,8 +30,8 @@ use datafusion::parquet::file::page_index::index_reader::{ read_columns_indexes, read_offset_indexes, }; use datafusion::parquet::file::reader::{ChunkReader, Length}; -use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningStatistics}; use datafusion::physical_expr::PhysicalExpr; +use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningStatistics}; use datafusion::scalar::ScalarValue; use object_store::ObjectStore; use parquet::file::page_index::offset_index::OffsetIndexMetaData; @@ -51,7 +51,14 @@ pub async fn load_scoped_page_index_cols( predicate_cols: &[usize], projection_cols: &[usize], ) -> Option> { - attach_scoped_page_index_to_metadata(store, location, footer_meta, predicate_cols, Some(projection_cols)).await + attach_scoped_page_index_to_metadata( + store, + location, + footer_meta, + predicate_cols, + Some(projection_cols), + ) + .await } async fn attach_scoped_page_index_to_metadata( @@ -77,7 +84,9 @@ async fn attach_scoped_page_index_to_metadata( if predicate_cols.is_empty() { Some(None) } else { - Some(Some(get_or_build_column_index(store, location, footer_meta, predicate_cols).await?)) + Some(Some( + get_or_build_column_index(store, location, footer_meta, predicate_cols).await?, + )) } }, get_or_build_offset_index(store, location, footer_meta, predicate_cols, oi_proj), @@ -148,7 +157,11 @@ async fn get_or_build_column_index( let mut missing_col_rg_matrix: Vec<(usize, usize)> = Vec::new(); // (col, rg) for &rg in &build_rgs { for &col in predicate_cols { - let key = CiCellKey { path: path.clone(), col, rg }; + let key = CiCellKey { + path: path.clone(), + col, + rg, + }; match COLUMN_INDEX_CACHE.get(&key) { Some(cell) => col_index_matrix[rg][col] = cell, None => missing_col_rg_matrix.push((col, rg)), @@ -161,15 +174,25 @@ async fn get_or_build_column_index( // write-lock acquisition — avoids per-cell lock overhead and runs eviction // exactly once after the batch rather than once per cell. if !missing_col_rg_matrix.is_empty() { - let built = build_column_index_cells(store, location, footer_meta, &missing_col_rg_matrix).await?; + let built = + build_column_index_cells(store, location, footer_meta, &missing_col_rg_matrix).await?; let batch = built.iter().map(|cell| { debug_assert!( cell.rg < col_index_matrix.len() && cell.col < col_index_matrix[cell.rg].len(), "cell ({}, {}) out of matrix bounds ({num_rgs} rgs, {num_cols} cols)", - cell.col, cell.rg, + cell.col, + cell.rg, ); - (CiCellKey { path: path.clone(), col: cell.col, rg: cell.rg }, cell.data.clone(), cell.size) + ( + CiCellKey { + path: path.clone(), + col: cell.col, + rg: cell.rg, + }, + cell.data.clone(), + cell.size, + ) }); COLUMN_INDEX_CACHE.insert_batch(batch); @@ -245,7 +268,12 @@ async fn build_column_index_cells( let rgm = footer_meta.row_group(p.rg); for (entry, &col) in decoded.into_iter().zip(p.cols.iter()) { let size = rgm.column(col).column_index_length().unwrap_or(0).max(0) as usize; - out.push(CiCell { col, rg: p.rg, data: entry, size }); + out.push(CiCell { + col, + rg: p.rg, + data: entry, + size, + }); } } Some(out) @@ -348,7 +376,10 @@ async fn get_or_build_offset_index( // Phase 1: serve cached columns; collect misses. let mut missing: Vec = Vec::new(); for &col in &off_cols { - let key = OiCellKey { path: path.clone(), col }; + let key = OiCellKey { + path: path.clone(), + col, + }; match OFFSET_INDEX_CACHE.get(&key) { Some(column) => scatter_offset_column(&mut matrix, col, &column), None => missing.push(col), @@ -359,10 +390,18 @@ async fn get_or_build_offset_index( // the matrix, and populate the cache. // Use insert_batch: all missing OI columns for this query in one lock acquisition. if !missing.is_empty() { - let built = build_offset_index_columns(store, location, footer_meta, &missing, num_rgs).await?; + let built = + build_offset_index_columns(store, location, footer_meta, &missing, num_rgs).await?; let batch = built.iter().map(|cell| { - (OiCellKey { path: path.clone(), col: cell.col }, cell.data.clone(), cell.size) + ( + OiCellKey { + path: path.clone(), + col: cell.col, + }, + cell.data.clone(), + cell.size, + ) }); OFFSET_INDEX_CACHE.insert_batch(batch); @@ -429,7 +468,11 @@ async fn build_offset_index_columns( .iter() .map(|rg| rg.column(col).offset_index_length().unwrap_or(0).max(0) as usize) .sum(); - out.push(OiCell { col, data: mem::take(&mut columns[k]), size }); + out.push(OiCell { + col, + data: mem::take(&mut columns[k]), + size, + }); } Some(out) } @@ -466,12 +509,14 @@ impl IndexBuffers { /// where `Bytes::clone` is a refcount bump, so this is cheap and short-lived. fn reader(&self, i: usize) -> BufferChunkReader { match self { - IndexBuffers::Shared { base, bytes } => { - BufferChunkReader { base: *base, bytes: bytes.clone() } - } - IndexBuffers::PerEntry(v) => { - BufferChunkReader { base: v[i].0, bytes: v[i].1.clone() } - } + IndexBuffers::Shared { base, bytes } => BufferChunkReader { + base: *base, + bytes: bytes.clone(), + }, + IndexBuffers::PerEntry(v) => BufferChunkReader { + base: v[i].0, + bytes: v[i].1.clone(), + }, } } } @@ -501,8 +546,14 @@ async fn fetch_index_buffers( // Whole region spans ALL cols × ALL RGs, so it's derived from the footer, // not the (scoped) plan. let region = whole_index_region(footer_meta, extent)?; - let buffers = store.get_ranges(location, std::slice::from_ref(®ion)).await.ok()?; - return Some(IndexBuffers::Shared { base: region.start, bytes: buffers.first()?.clone() }); + let buffers = store + .get_ranges(location, std::slice::from_ref(®ion)) + .await + .ok()?; + return Some(IndexBuffers::Shared { + base: region.start, + bytes: buffers.first()?.clone(), + }); } // Narrow: one scoped fetch per plan entry, reusing each entry's precomputed chunks. let mut fetch_ranges: Vec> = Vec::with_capacity(plan.len()); @@ -521,7 +572,10 @@ async fn fetch_index_buffers( /// `min(start)..max(end)` over EVERY `(col, rg)` chunk's `extent`, skipping columns /// without one (lenient). The whole-file index region for the wide fetch — the /// single source of truth for the range key warm-population must also write. -fn whole_index_region(footer_meta: &Arc, extent: ChunkExtent) -> Option> { +fn whole_index_region( + footer_meta: &Arc, + extent: ChunkExtent, +) -> Option> { let num_cols = footer_meta.file_metadata().schema_descr().num_columns(); let mut acc: Option> = None; for rg in 0..footer_meta.num_row_groups() { @@ -607,13 +661,15 @@ impl BufferChunkReader { } #[cfg(test)] mod tests { - use super::*; + use super::super::column_schema_resolver::{ + resolve_predicate_parquet_columns, resolve_predicate_parquet_columns_pair, + }; use super::super::{ clear_scoped_cache_for_test, column_index_cache_stats, offset_index_cache_stats, scoped_cache_stats, set_column_index_cache_limit_for_test, set_whole_region_fetch_enabled, ScopedCacheStats, SCOPED_CACHE_TEST_GUARD, }; - use super::super::column_schema_resolver::{resolve_predicate_parquet_columns, resolve_predicate_parquet_columns_pair}; + use super::*; use crate::indexed_table::page_pruner::{build_pruning_predicate, PagePruner}; use arrow::array::{Int32Array, RecordBatch}; use arrow::datatypes::{DataType, Field, Schema}; @@ -644,9 +700,12 @@ mod tests { let qtys: Vec = (100..132).collect(); let batch = RecordBatch::try_new( schema.clone(), - vec![Arc::new(Int32Array::from(prices)), Arc::new(Int32Array::from(qtys))], + vec![ + Arc::new(Int32Array::from(prices)), + Arc::new(Int32Array::from(qtys)), + ], ) - .unwrap(); + .unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(32) .set_data_page_row_count_limit(8) @@ -670,9 +729,12 @@ mod tests { let vs: Vec = (0..40).map(|x| x * 2).collect(); let batch = RecordBatch::try_new( schema.clone(), - vec![Arc::new(Int32Array::from(ids)), Arc::new(Int32Array::from(vs))], + vec![ + Arc::new(Int32Array::from(ids)), + Arc::new(Int32Array::from(vs)), + ], ) - .unwrap(); + .unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(10) .set_data_page_row_count_limit(5) @@ -709,7 +771,7 @@ mod tests { Arc::new(StringArray::from(s1)), ], ) - .unwrap(); + .unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(ROWS as usize) .set_data_page_row_count_limit(32) @@ -726,22 +788,31 @@ mod tests { async fn stage(bytes: Bytes) -> (Arc, ObjPath) { let store: Arc = Arc::new(InMemory::new()); let loc = ObjPath::from("data.parquet"); - store.put(&loc, PutPayload::from_bytes(bytes)).await.unwrap(); + store + .put(&loc, PutPayload::from_bytes(bytes)) + .await + .unwrap(); (store, loc) } fn footer_only(bytes: &Bytes) -> Arc { - ArrowReaderMetadata::load(&bytes.clone(), ArrowReaderOptions::new().with_page_index(false)) - .unwrap() - .metadata() - .clone() + ArrowReaderMetadata::load( + &bytes.clone(), + ArrowReaderOptions::new().with_page_index(false), + ) + .unwrap() + .metadata() + .clone() } fn full_index(bytes: &Bytes) -> Arc { - ArrowReaderMetadata::load(&bytes.clone(), ArrowReaderOptions::new().with_page_index(true)) - .unwrap() - .metadata() - .clone() + ArrowReaderMetadata::load( + &bytes.clone(), + ArrowReaderOptions::new().with_page_index(true), + ) + .unwrap() + .metadata() + .clone() } fn col(name: &str, idx: usize) -> Arc { @@ -814,7 +885,9 @@ mod tests { let (bytes, _schema) = two_col_parquet(); let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); - assert!(load_scoped_page_index_cols(&store, &loc, &fo, &[], &[]).await.is_none()); + assert!(load_scoped_page_index_cols(&store, &loc, &fo, &[], &[]) + .await + .is_none()); assert_eq!(ci().entries, 0); assert_eq!(oi().entries, 0); } @@ -830,11 +903,19 @@ mod tests { let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); assert_eq!(cols, vec![0]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let c = aug.column_index().unwrap(); let o = aug.offset_index().unwrap(); - assert!(!matches!(c[0][0], ColumnIndexMetaData::NONE), "predicate col has real CI"); - assert!(matches!(c[0][1], ColumnIndexMetaData::NONE), "non-predicate col CI is NONE"); + assert!( + !matches!(c[0][0], ColumnIndexMetaData::NONE), + "predicate col has real CI" + ); + assert!( + matches!(c[0][1], ColumnIndexMetaData::NONE), + "non-predicate col CI is NONE" + ); assert!( !o[0][0].page_locations().is_empty() && !o[0][1].page_locations().is_empty(), "OffsetIndex real for every column (all-col default)" @@ -853,8 +934,10 @@ mod tests { let mut single_b = resolve_predicate_parquet_columns(&schema, &fo, &names_b); let (mut pair_a, mut pair_b) = resolve_predicate_parquet_columns_pair(&schema, &fo, &names_a, &names_b); - single_a.sort_unstable(); single_b.sort_unstable(); - pair_a.sort_unstable(); pair_b.sort_unstable(); + single_a.sort_unstable(); + single_b.sort_unstable(); + pair_a.sort_unstable(); + pair_b.sort_unstable(); assert_eq!(pair_a, single_a, "pair predicate result must match single"); assert_eq!(pair_b, single_b, "pair projection result must match single"); assert_eq!(pair_a, vec![0]); @@ -883,13 +966,22 @@ mod tests { .expect("projection-only load must produce grafted metadata (not None)"); // No predicate → no ColumnIndex grafted. - assert!(aug.column_index().is_none(), "no predicate → ColumnIndex absent"); + assert!( + aug.column_index().is_none(), + "no predicate → ColumnIndex absent" + ); // OffsetIndex must be real for the projected col (1) AND col 0 (loader // always unions in {0}); other behavior unchanged. let o = aug.offset_index().expect("OffsetIndex must be grafted"); - assert!(!o[0][1].page_locations().is_empty(), "projected col qty has real OffsetIndex"); - assert!(!o[0][0].page_locations().is_empty(), "col 0 OffsetIndex real (always unioned)"); + assert!( + !o[0][1].page_locations().is_empty(), + "projected col qty has real OffsetIndex" + ); + assert!( + !o[0][0].page_locations().is_empty(), + "col 0 OffsetIndex real (always unioned)" + ); } #[tokio::test] @@ -900,9 +992,12 @@ mod tests { let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let full = full_index(&bytes); - let pp = build_pruning_predicate(&pred("price", 0, Operator::GtEq, 20), schema.clone()).unwrap(); + let pp = + build_pruning_predicate(&pred("price", 0, Operator::GtEq, 20), schema.clone()).unwrap(); let s = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, 0, None); let f = PagePruner::new(&schema, full).prune_rg(&pp, 0, None); assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept)); @@ -922,9 +1017,12 @@ mod tests { let prices: Vec = (0..32).collect(); let batch = RecordBatch::try_new( schema.clone(), - vec![Arc::new(Int32Array::from(extra)), Arc::new(Int32Array::from(prices))], + vec![ + Arc::new(Int32Array::from(extra)), + Arc::new(Int32Array::from(prices)), + ], ) - .unwrap(); + .unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(32) .set_data_page_row_count_limit(8) @@ -963,9 +1061,15 @@ mod tests { // Must resolve to the file's TRUE leaf for `price` = 1, NOT the union // position 0 (which is `extra` in this file). let cols = resolve_predicate_parquet_columns(&union_schema, &fo, &["price".to_string()]); - assert_eq!(cols, vec![1], "price must resolve to its per-file leaf (1), not union pos 0"); + assert_eq!( + cols, + vec![1], + "price must resolve to its per-file leaf (1), not union pos 0" + ); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let full = full_index(&bytes); // `price` pages: 0..8,8..16,16..24,24..32; `price >= 20` keeps the last two // pages (rows 16..32 = 16 rows). Build the pruning predicate against the @@ -974,10 +1078,16 @@ mod tests { Field::new("extra", DataType::Int32, false), Field::new("price", DataType::Int32, false), ])); - let pp = build_pruning_predicate(&pred("price", 1, Operator::GtEq, 20), file_schema.clone()).unwrap(); + let pp = + build_pruning_predicate(&pred("price", 1, Operator::GtEq, 20), file_schema.clone()) + .unwrap(); let s = PagePruner::new(&file_schema, Arc::clone(&aug)).prune_rg(&pp, 0, None); let f = PagePruner::new(&file_schema, full).prune_rg(&pp, 0, None); - assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept), "scoped pruning must match full index"); + assert_eq!( + s.as_ref().map(kept), + f.as_ref().map(kept), + "scoped pruning must match full index" + ); assert_eq!(s.as_ref().map(kept), Some(16)); clear_scoped_cache_for_test(); } @@ -1009,7 +1119,9 @@ mod tests { // path). `qty` therefore gets the one-page placeholder + NONE ColumnIndex. let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); assert_eq!(cols, vec![0]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let full = full_index(&bytes); // Residual references BOTH columns: price >= 16 (full keeps pages 2,3) AND @@ -1020,8 +1132,12 @@ mod tests { Arc::new(BinaryExpr::new(price_ge, Operator::And, qty_le)); let pp = build_pruning_predicate(&residual, schema.clone()).unwrap(); - let s_kept = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, 0, None).map(|s| kept(&s)); - let f_kept = PagePruner::new(&schema, full).prune_rg(&pp, 0, None).map(|s| kept(&s)); + let s_kept = PagePruner::new(&schema, Arc::clone(&aug)) + .prune_rg(&pp, 0, None) + .map(|s| kept(&s)); + let f_kept = PagePruner::new(&schema, full) + .prune_rg(&pp, 0, None) + .map(|s| kept(&s)); // Superset invariant: scoped must keep AT LEAST what full keeps (never // fewer). It keeps more here (16 vs 0) because it correctly cannot prune // the placeholdered `qty` — that's safe; the residual mask removes the @@ -1033,7 +1149,8 @@ mod tests { assert!( s >= f, "scoped page pruning must be a safe superset of full ({} kept) but kept fewer ({})", - f, s + f, + s ); clear_scoped_cache_for_test(); } @@ -1046,7 +1163,9 @@ mod tests { let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); let full = full_index(&bytes); @@ -1070,16 +1189,34 @@ mod tests { let fo = footer_only(&bytes); let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let (c1, o1) = (ci(), oi()); - assert_eq!((c1.hits, c1.misses, c1.entries), (0, 1, 1), "1 CI cell (price,rg0)"); - assert_eq!((o1.hits, o1.misses, o1.entries), (0, 2, 2), "2 OI cells (col0,col1)"); + assert_eq!( + (c1.hits, c1.misses, c1.entries), + (0, 1, 1), + "1 CI cell (price,rg0)" + ); + assert_eq!( + (o1.hits, o1.misses, o1.entries), + (0, 2, 2), + "2 OI cells (col0,col1)" + ); assert!(c1.used_bytes > 0 && o1.used_bytes > 0); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); let (c2, o2) = (ci(), oi()); - assert_eq!((c2.hits, c2.misses, c2.entries, c2.used_bytes), (1, 1, 1, c1.used_bytes)); - assert_eq!((o2.hits, o2.misses, o2.entries, o2.used_bytes), (2, 2, 2, o1.used_bytes)); + assert_eq!( + (c2.hits, c2.misses, c2.entries, c2.used_bytes), + (1, 1, 1, c1.used_bytes) + ); + assert_eq!( + (o2.hits, o2.misses, o2.entries, o2.used_bytes), + (2, 2, 2, o1.used_bytes) + ); } /// Distinct predicate columns → distinct CI cells, but the OffsetIndex column @@ -1096,11 +1233,23 @@ mod tests { let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); let c_qty = resolve_predicate_parquet_columns(&schema, &fo, &["qty".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]) + .await + .unwrap(); - assert_eq!(ci().entries, 2, "distinct predicate cells: (price,rg0) + (qty,rg0)"); - assert_eq!(oi().entries, 2, "all-column OffsetIndex: 2 column cells, shared"); + assert_eq!( + ci().entries, + 2, + "distinct predicate cells: (price,rg0) + (qty,rg0)" + ); + assert_eq!( + oi().entries, + 2, + "all-column OffsetIndex: 2 column cells, shared" + ); // Second (qty) load re-read the same 2 OI cells from cache. assert_eq!(oi().hits, 2); } @@ -1124,11 +1273,19 @@ mod tests { &["price".to_string(), "qty".to_string()], ); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); - assert_eq!((ci().hits, ci().misses, ci().entries), (0, 1, 1), "price cell decoded"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); + assert_eq!( + (ci().hits, ci().misses, ci().entries), + (0, 1, 1), + "price cell decoded" + ); // Predicate now covers {price, qty}: price's cell hits, qty's cell misses. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_both, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_both, &[]) + .await + .unwrap(); assert_eq!( (ci().hits, ci().misses, ci().entries), (1, 2, 2), @@ -1151,9 +1308,17 @@ mod tests { // never enters the cache key. let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); - assert_eq!(ci().entries, 1, "same column → one cell regardless of literal"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); + assert_eq!( + ci().entries, + 1, + "same column → one cell regardless of literal" + ); assert_eq!(ci().hits, 1); clear_scoped_cache_for_test(); } @@ -1169,14 +1334,24 @@ mod tests { let c_price = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); let c_qty = resolve_predicate_parquet_columns(&schema, &fo, &["qty".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); assert_eq!((ci().hits, ci().misses), (0, 1)); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); assert_eq!((ci().hits, ci().misses), (1, 1)); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]) + .await + .unwrap(); assert_eq!((ci().hits, ci().misses), (1, 2)); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]) + .await + .unwrap(); let s = ci(); assert_eq!((s.hits, s.misses, s.entries, s.evictions), (3, 2, 2, 0)); } @@ -1197,23 +1372,36 @@ mod tests { // Measure one CI cell (predicate `price` = col0 at the single RG), then set // a budget of ~1.5 cells so a second distinct cell forces an eviction. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); let one_cell = ci().used_bytes; assert!(one_cell > 0); let budget = one_cell + one_cell / 2; clear_scoped_cache_for_test(); set_column_index_cache_limit_for_test(budget); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]).await.unwrap(); // cell (col0) - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); // cell (col1) → evicts col0 + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_price, &[]) + .await + .unwrap(); // cell (col0) + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]) + .await + .unwrap(); // cell (col1) → evicts col0 - assert!(ci().used_bytes <= budget, "CI bytes {} must stay within {}", ci().used_bytes, budget); + assert!( + ci().used_bytes <= budget, + "CI bytes {} must stay within {}", + ci().used_bytes, + budget + ); assert_eq!(ci().entries, 1, "only the most-recent cell fits"); assert!(ci().evictions >= 1, "the LRU cell must have evicted"); // The most-recently-used cell (qty/col1) must still be a hit. let hits_before = ci().hits; - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_qty, &[]) + .await + .unwrap(); assert_eq!(ci().hits, hits_before + 1, "MRU cell must remain cached"); clear_scoped_cache_for_test(); @@ -1231,11 +1419,19 @@ mod tests { let cols = resolve_predicate_parquet_columns(&schema, &fo, &["id".to_string()]); // Cold: 4 RGs × 1 predicate col → 4 CI misses, 4 CI entries. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); - assert_eq!((ci().misses, ci().entries), (4, 4), "4 RGs × col → 4 CI cells"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); + assert_eq!( + (ci().misses, ci().entries), + (4, 4), + "4 RGs × col → 4 CI cells" + ); // Warm: all 4 cells hit, entry count unchanged. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); assert_eq!((ci().hits, ci().entries), (4, 4), "warm: all 4 cells hit"); // OI: empty projection → all 2 columns × 1 file → 2 OI entries. @@ -1255,26 +1451,34 @@ mod tests { let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); let c_n0 = resolve_predicate_parquet_columns(&schema, &fo, &["n0".to_string()]); - let c_n0_n1 = resolve_predicate_parquet_columns( - &schema, - &fo, - &["n0".to_string(), "n1".to_string()], - ); - let c_n1_s0 = resolve_predicate_parquet_columns( - &schema, - &fo, - &["n1".to_string(), "s0".to_string()], - ); + let c_n0_n1 = + resolve_predicate_parquet_columns(&schema, &fo, &["n0".to_string(), "n1".to_string()]); + let c_n1_s0 = + resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string(), "s0".to_string()]); // {n0}: 1 new cell. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0, &[]) + .await + .unwrap(); assert_eq!((ci().hits, ci().misses, ci().entries), (0, 1, 1)); // {n0,n1}: n0 hits, n1 new. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0_n1, &[]).await.unwrap(); - assert_eq!((ci().hits, ci().misses, ci().entries), (1, 2, 2), "n0 reused; n1 new"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n0_n1, &[]) + .await + .unwrap(); + assert_eq!( + (ci().hits, ci().misses, ci().entries), + (1, 2, 2), + "n0 reused; n1 new" + ); // {n1,s0}: n1 hits, s0 new. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n1_s0, &[]).await.unwrap(); - assert_eq!((ci().hits, ci().misses, ci().entries), (2, 3, 3), "n1 reused; s0 new"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &c_n1_s0, &[]) + .await + .unwrap(); + assert_eq!( + (ci().hits, ci().misses, ci().entries), + (2, 3, 3), + "n1 reused; s0 new" + ); clear_scoped_cache_for_test(); } @@ -1292,11 +1496,19 @@ mod tests { let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); // Project s0 (col 2): offset cols = {0, 1(n1), 2(s0)} → 3 new cells. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); - assert_eq!((oi().hits, oi().misses, oi().entries), (0, 3, 3), "cols 0,1,2"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]) + .await + .unwrap(); + assert_eq!( + (oi().hits, oi().misses, oi().entries), + (0, 3, 3), + "cols 0,1,2" + ); // Project s1 (col 3): offset cols = {0, 1, 3}. Cols 0 & 1 hit; col 3 new. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[3]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[3]) + .await + .unwrap(); assert_eq!( (oi().hits, oi().misses, oi().entries), (2, 4, 4), @@ -1317,7 +1529,9 @@ mod tests { let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); assert_eq!(pred_cols, vec![1]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]) + .await + .unwrap(); let o = aug.offset_index().unwrap(); // wide4 has 256 rows / page-size 32 → real columns have multiple pages. let full = full_index(&bytes); @@ -1327,7 +1541,11 @@ mod tests { // page index; the rest carry a single whole-RG placeholder page (non-empty // so any consumer dereference is safe — never empty, which would panic). for &c in &[0usize, 1, 2] { - assert_eq!(o[0][c].page_locations().len(), real_pages, "col {c} (pred/proj/metric) real OI"); + assert_eq!( + o[0][c].page_locations().len(), + real_pages, + "col {c} (pred/proj/metric) real OI" + ); } assert_eq!( o[0][3].page_locations().len(), @@ -1353,12 +1571,18 @@ mod tests { let fo = footer_only(&bytes); // Scope to n1 (pred) + s0 (proj). Col 3 (s1) is scoped out → placeholder. let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]) + .await + .unwrap(); let o = aug.offset_index().unwrap(); // The scoped-out column's placeholder is a single page... let ph_pages = o[0][3].page_locations(); - assert_eq!(ph_pages.len(), 1, "scoped-out col 3 must have a single placeholder page"); + assert_eq!( + ph_pages.len(), + 1, + "scoped-out col 3 must have a single placeholder page" + ); let ph = &ph_pages[0]; // ...whose coordinates equal the real column chunk byte range from the footer. @@ -1371,13 +1595,22 @@ mod tests { ph.compressed_page_size as u64, col_len, "placeholder page size must be the real chunk compressed size (not 0)" ); - assert!(col_start > 0 && col_len > 0, "fixture sanity: real chunk has non-zero offset+size"); + assert!( + col_start > 0 && col_len > 0, + "fixture sanity: real chunk has non-zero offset+size" + ); // The byte range a reader derives from this page must NOT underflow: // end (offset+size) >= start (offset). let end = ph.offset as u64 + ph.compressed_page_size as u64; - assert!(end >= ph.offset as u64, "derived range must not underflow (end >= start)"); - assert_eq!(ph.first_row_index, 0, "single placeholder page starts at row 0"); + assert!( + end >= ph.offset as u64, + "derived range must not underflow (end >= start)" + ); + assert_eq!( + ph.first_row_index, 0, + "single placeholder page starts at row 0" + ); clear_scoped_cache_for_test(); } @@ -1389,7 +1622,9 @@ mod tests { let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]) + .await + .unwrap(); let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); let full = full_index(&bytes); @@ -1408,11 +1643,20 @@ mod tests { let fo = footer_only(&bytes); let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["n1".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]) + .await + .unwrap(); let all_cols = oi().used_bytes; clear_scoped_cache_for_test(); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]).await.unwrap(); - assert!(oi().used_bytes < all_cols, "col-scoped OI {} < all-col {}", oi().used_bytes, all_cols); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[2]) + .await + .unwrap(); + assert!( + oi().used_bytes < all_cols, + "col-scoped OI {} < all-col {}", + oi().used_bytes, + all_cols + ); clear_scoped_cache_for_test(); } @@ -1429,11 +1673,19 @@ mod tests { let fo = footer_only(&bytes); let pred_cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[]) + .await + .unwrap(); assert_eq!(oi().entries, 2, "all-columns load caches 2 column cells"); // Project {1}; union {0,1} = both columns, both already cached → 2 hits. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]).await.unwrap(); - assert_eq!(oi().entries, 2, "covered columns reuse their cells, no new entries"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &pred_cols, &[1]) + .await + .unwrap(); + assert_eq!( + oi().entries, + 2, + "covered columns reuse their cells, no new entries" + ); assert_eq!(oi().hits, 2); clear_scoped_cache_for_test(); } @@ -1476,7 +1728,9 @@ mod tests { let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); // Warm: 1 CI cell (price,rg0) + 2 OI cells (col0, col1). - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]) + .await + .unwrap(); assert_eq!(ci().entries, 1); assert_eq!(oi().entries, 2); assert_eq!(ci().misses, 1); @@ -1487,9 +1741,19 @@ mod tests { assert_eq!(oi().entries, 0, "OI cells must be gone after eviction"); // Reload — must be a miss, not a hit from stale cache. - let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]).await.unwrap(); - assert_eq!(ci().misses, 2, "second load after eviction must be a cache miss"); - assert_eq!(ci().hits, 0, "no hits — eviction prevented serving stale data"); + let _ = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[0, 1]) + .await + .unwrap(); + assert_eq!( + ci().misses, + 2, + "second load after eviction must be a cache miss" + ); + assert_eq!( + ci().hits, + 0, + "no hits — eviction prevented serving stale data" + ); clear_scoped_cache_for_test(); } @@ -1500,18 +1764,33 @@ mod tests { let _g = CACHE_TEST_GUARD.lock().unwrap(); clear_scoped_cache_for_test(); let (bytes, schema) = two_col_parquet(); - let cols = resolve_predicate_parquet_columns(&schema, &footer_only(&bytes), &["price".to_string()]); + let cols = resolve_predicate_parquet_columns( + &schema, + &footer_only(&bytes), + &["price".to_string()], + ); // Stage two identical files at different paths. - let store_a: Arc = Arc::new(object_store::memory::InMemory::new()); + let store_a: Arc = + Arc::new(object_store::memory::InMemory::new()); let loc_a = object_store::path::Path::from("file_a.parquet"); let loc_b = object_store::path::Path::from("file_b.parquet"); - store_a.put(&loc_a, object_store::PutPayload::from_bytes(bytes.clone())).await.unwrap(); - store_a.put(&loc_b, object_store::PutPayload::from_bytes(bytes.clone())).await.unwrap(); + store_a + .put(&loc_a, object_store::PutPayload::from_bytes(bytes.clone())) + .await + .unwrap(); + store_a + .put(&loc_b, object_store::PutPayload::from_bytes(bytes.clone())) + .await + .unwrap(); let fo = footer_only(&bytes); - let _ = load_scoped_page_index_cols(&store_a, &loc_a, &fo, &cols, &[0, 1]).await.unwrap(); - let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]).await.unwrap(); + let _ = load_scoped_page_index_cols(&store_a, &loc_a, &fo, &cols, &[0, 1]) + .await + .unwrap(); + let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]) + .await + .unwrap(); assert_eq!(ci().entries, 2, "one CI cell per file"); assert_eq!(oi().entries, 4, "two OI cells per file"); @@ -1522,8 +1801,14 @@ mod tests { // file_b's cells are still hits. let hits_before = ci().hits; - let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]).await.unwrap(); - assert_eq!(ci().hits, hits_before + 1, "file_b CI cell must still be cached"); + let _ = load_scoped_page_index_cols(&store_a, &loc_b, &fo, &cols, &[0, 1]) + .await + .unwrap(); + assert_eq!( + ci().hits, + hits_before + 1, + "file_b CI cell must still be cached" + ); clear_scoped_cache_for_test(); } @@ -1548,26 +1833,40 @@ mod tests { // Whole CI region is a strict superset of the scoped `id`-only union. let region = whole_index_region(&fo, ci_extent).unwrap(); - let scoped = union_extent( - &[fo.row_group(0).column(0).clone()], - ci_extent, - ).unwrap(); - assert!(region.start <= scoped.start && region.end >= scoped.end, "region superset of scoped"); + let scoped = union_extent(&[fo.row_group(0).column(0).clone()], ci_extent).unwrap(); + assert!( + region.start <= scoped.start && region.end >= scoped.end, + "region superset of scoped" + ); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[]) + .await + .unwrap(); // Decode stayed scoped: 4 RGs × 1 predicate col = 4 CI cells (not all columns). - assert_eq!(ci().entries, 4, "decode scoped to predicate col despite wide fetch"); + assert_eq!( + ci().entries, + 4, + "decode scoped to predicate col despite wide fetch" + ); let c = aug.column_index().unwrap(); - assert!(matches!(c[0][1], ColumnIndexMetaData::NONE), "non-predicate col stays NONE"); + assert!( + matches!(c[0][1], ColumnIndexMetaData::NONE), + "non-predicate col stays NONE" + ); // Pruning identical to the full index. let full = full_index(&bytes); - let pp = build_pruning_predicate(&pred("id", 0, Operator::GtEq, 20), schema.clone()).unwrap(); + let pp = + build_pruning_predicate(&pred("id", 0, Operator::GtEq, 20), schema.clone()).unwrap(); for rg in 0..4 { let s = PagePruner::new(&schema, Arc::clone(&aug)).prune_rg(&pp, rg, None); let f = PagePruner::new(&schema, Arc::clone(&full)).prune_rg(&pp, rg, None); - assert_eq!(s.as_ref().map(kept), f.as_ref().map(kept), "RG{rg} pruning matches full"); + assert_eq!( + s.as_ref().map(kept), + f.as_ref().map(kept), + "RG{rg} pruning matches full" + ); } set_whole_region_fetch_enabled(false); @@ -1587,7 +1886,9 @@ mod tests { let (store, loc) = stage(bytes.clone()).await; let fo = footer_only(&bytes); let cols = resolve_predicate_parquet_columns(&schema, &fo, &["price".to_string()]); - let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[1]).await.unwrap(); + let aug = load_scoped_page_index_cols(&store, &loc, &fo, &cols, &[1]) + .await + .unwrap(); let selection = RowSelection::from(vec![RowSelector::skip(16), RowSelector::select(16)]); let scoped_vals = read_selected_column(&bytes, &aug, 1, selection.clone()).unwrap(); @@ -1598,5 +1899,4 @@ mod tests { set_whole_region_fetch_enabled(false); clear_scoped_cache_for_test(); } - } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs index 973540287b78f..ab9f74b6c04f2 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cache/statistics_cache.rs @@ -6,26 +6,26 @@ * compatible open source license. */ -use crate::eviction_policy::{ - create_policy, CacheError, CachePolicy, CacheResult, PolicyType, -}; +use crate::eviction_policy::{create_policy, CacheError, CachePolicy, CacheResult, PolicyType}; use arrow_array::Array; +use dashmap::DashMap; use datafusion::common::stats::{ColumnStatistics, Precision}; use datafusion::common::ScalarValue; -use dashmap::DashMap; +use datafusion::common::TableReference; +use datafusion::execution::cache::cache_manager::{ + CachedFileMetadata, FileStatisticsCache, FileStatisticsCacheEntry, +}; use datafusion::execution::cache::CacheAccessor; -use datafusion::execution::cache::cache_manager::{CachedFileMetadata, FileStatisticsCache, FileStatisticsCacheEntry}; use datafusion::execution::cache::TableScopedPath; -use datafusion::common::TableReference; use datafusion::physical_plan::Statistics; use object_store::{path::Path, ObjectMeta}; use std::collections::HashMap; -use std::sync::{Arc, Mutex}; use std::sync::atomic::{AtomicUsize, Ordering}; +use std::sync::{Arc, Mutex}; -use std::fs::File; use arrow_schema::SchemaRef; use parquet::file::metadata::ParquetMetaData; +use std::fs::File; /// Trait to calculate heap memory size for statistics objects trait HeapSize { @@ -42,7 +42,7 @@ impl HeapSize for Statistics { } impl HeapSize -for Precision + for Precision { fn heap_size(&self) -> usize { match self { @@ -148,7 +148,9 @@ impl CustomStatisticsCache { pub fn new(policy_type: PolicyType, size_limit: usize, eviction_threshold: f64) -> Self { Self { inner_cache: DashMap::new(), - policy: Mutex::new(create_policy(policy_type).expect("statistics cache requires Lru or Lfu")), + policy: Mutex::new( + create_policy(policy_type).expect("statistics cache requires Lru or Lfu"), + ), size_limit: AtomicUsize::new(size_limit), eviction_threshold, memory_state: Arc::new(Mutex::new(MemoryState { @@ -172,7 +174,10 @@ impl CustomStatisticsCache { /// Get total memory consumed by all cached statistics pub fn memory_consumed(&self) -> usize { - self.memory_state.lock().map(|guard| guard.total).unwrap_or(0) + self.memory_state + .lock() + .map(|guard| guard.total) + .unwrap_or(0) } /// Get cache hit count @@ -190,7 +195,11 @@ impl CustomStatisticsCache { let hits = self.hit_count(); let misses = self.miss_count(); let total = hits + misses; - if total == 0 { 0.0 } else { hits as f64 / total as f64 } + if total == 0 { + 0.0 + } else { + hits as f64 / total as f64 + } } /// Reset hit and miss counters @@ -202,7 +211,10 @@ impl CustomStatisticsCache { /// Clone the policy Arc without holding the Mutex. Hot-path callers use this /// so they don't hold the lock while calling policy methods. fn policy(&self) -> Arc { - self.policy.lock().unwrap_or_else(|e| e.into_inner()).clone() + self.policy + .lock() + .unwrap_or_else(|e| e.into_inner()) + .clone() } /// Update the cache size limit @@ -210,7 +222,8 @@ impl CustomStatisticsCache { self.size_limit.store(new_limit, Ordering::Relaxed); let current_size = self.current_size()?; if current_size > new_limit { - let target_eviction = current_size - (new_limit as f64 * self.eviction_threshold) as usize; + let target_eviction = + current_size - (new_limit as f64 * self.eviction_threshold) as usize; let candidates = self.policy().select_for_eviction(target_eviction); for candidate_key in candidates { if let Ok(path) = self.parse_key_to_path(&candidate_key) { @@ -224,18 +237,24 @@ impl CustomStatisticsCache { /// Switch to a different eviction policy, rebuilding state from current entries. pub fn set_policy(&self, policy_type: PolicyType) -> CacheResult<()> { let entries: Vec<(String, usize)> = { - let state = self.memory_state.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire memory_state lock: {}", e), - })?; + let state = self + .memory_state + .lock() + .map_err(|e| CacheError::PolicyLockError { + reason: format!("Failed to acquire memory_state lock: {}", e), + })?; state.tracker.iter().map(|(k, v)| (k.clone(), *v)).collect() }; let new_policy = create_policy(policy_type).expect("statistics cache requires Lru or Lfu"); for (key, size) in entries { new_policy.on_insert(&key, size); } - let mut guard = self.policy.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire policy lock: {}", e), - })?; + let mut guard = self + .policy + .lock() + .map_err(|e| CacheError::PolicyLockError { + reason: format!("Failed to acquire policy lock: {}", e), + })?; *guard = new_policy; Ok(()) } @@ -257,15 +276,20 @@ impl CustomStatisticsCache { /// Manually trigger eviction. pub fn evict(&mut self, target_size: usize) -> CacheResult { - if target_size == 0 { return Ok(0); } + if target_size == 0 { + return Ok(0); + } let candidates = self.policy().select_for_eviction(target_size); let mut freed_size = 0; for key in candidates { let entry_size = { - let state = self.memory_state.lock().map_err(|e| CacheError::PolicyLockError { - reason: format!("Failed to acquire memory_state lock: {}", e), - })?; + let state = self + .memory_state + .lock() + .map_err(|e| CacheError::PolicyLockError { + reason: format!("Failed to acquire memory_state lock: {}", e), + })?; state.tracker.get(&key).copied().unwrap_or(0) }; @@ -279,7 +303,9 @@ impl CustomStatisticsCache { self.policy().on_remove(&key); freed_size += entry_size; } - if freed_size >= target_size { break; } + if freed_size >= target_size { + break; + } } } } @@ -338,7 +364,9 @@ impl CustomStatisticsCache { let key = k.to_string(); let memory_size = { let state = self.memory_state.lock(); - state.map(|s| s.tracker.get(&key).copied().unwrap_or(0)).unwrap_or(0) + state + .map(|s| s.tracker.get(&key).copied().unwrap_or(0)) + .unwrap_or(0) }; self.policy().on_access(&key, memory_size); } else { @@ -352,17 +380,18 @@ impl CustomStatisticsCache { let key = k.to_string(); let memory_size = v.statistics.memory_size(); - let current_size = self.memory_state.lock() - .map(|s| s.total) - .unwrap_or(0); + let current_size = self.memory_state.lock().map(|s| s.total).unwrap_or(0); let eviction_candidates = { let size_limit = self.size_limit.load(Ordering::Relaxed); let threshold = (size_limit as f64 * self.eviction_threshold) as usize; if current_size + memory_size > threshold { - let target_eviction = (current_size + memory_size) - (size_limit as f64 * 0.6) as usize; + let target_eviction = + (current_size + memory_size) - (size_limit as f64 * 0.6) as usize; self.policy().select_for_eviction(target_eviction) - } else { vec![] } + } else { + vec![] + } }; for candidate_key in eviction_candidates { @@ -404,7 +433,10 @@ impl CustomStatisticsCache { } pub fn len(&self) -> usize { - self.memory_state.lock().map(|s| s.tracker.len()).unwrap_or(0) + self.memory_state + .lock() + .map(|s| s.tracker.len()) + .unwrap_or(0) } pub fn clear(&self) { @@ -501,9 +533,11 @@ pub fn compute_parquet_statistics_from_metadata( } /// Compute statistics from a parquet file using DataFusion's built-in functionality -pub fn compute_parquet_statistics(file_path: &str) -> Result> { - use datafusion::parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; +pub fn compute_parquet_statistics( + file_path: &str, +) -> Result> { use datafusion::datasource::physical_plan::parquet::metadata::DFParquetMetadata; + use datafusion::parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; use object_store::local::LocalFileSystem; use object_store::path::Path; @@ -763,7 +797,9 @@ mod tests { handles.push(handle); } - for handle in handles { handle.join().unwrap(); } + for handle in handles { + handle.join().unwrap(); + } assert!(cache.len() > 0); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs index 08549997a8021..05291c89925ad 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/cross_rt_stream.rs @@ -73,7 +73,8 @@ impl CrossRtStream { stream: SendableRecordBatchStream, exec: DedicatedExecutor, ) -> Self { - let (cross_rt, _abort_handle, _done_rx) = Self::new_with_df_error_stream_cancellable(stream, exec, None); + let (cross_rt, _abort_handle, _done_rx) = + Self::new_with_df_error_stream_cancellable(stream, exec, None); cross_rt } @@ -132,13 +133,12 @@ impl CrossRtStream { JobError::Panic { msg } => { DataFusionError::Execution(format!("Panic: {}", msg)) } - JobError::WorkerGone => { - DataFusionError::Execution("Worker gone".to_string()) - } + JobError::WorkerGone => DataFusionError::Execution("Worker gone".to_string()), }; tx.send(Err(err)).await.ok(); } - }.boxed(); + } + .boxed(); let cross_rt = Self { driver, @@ -322,12 +322,16 @@ mod tests { stream::iter(vec![Ok(test_batch(&[1, 2, 3]))]), )); - let (cross, _abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); + let (cross, _abort, done_rx) = + CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); let wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); tokio::pin!(wrapped); while wrapped.next().await.is_some() {} - assert!(done_rx.await.is_ok(), "done_rx must fire once the spawned task fully drops"); + assert!( + done_rx.await.is_ok(), + "done_rx must fire once the spawned task fully drops" + ); exec.join_blocking(); } @@ -341,11 +345,14 @@ mod tests { stream::pending::>(), )); - let (cross, abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); + let (cross, abort, done_rx) = + CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), None); // Hold the stream so the abort, not a drop, is what ends the task. let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); - abort.expect("cancellable constructor yields an abort handle").abort(); + abort + .expect("cancellable constructor yields an abort handle") + .abort(); let fired = tokio::time::timeout(std::time::Duration::from_secs(5), done_rx).await; assert!(fired.is_ok(), "done_rx must fire after the task is aborted"); @@ -365,16 +372,25 @@ mod tests { )); let token = CancellationToken::new(); - let (cross, _abort, done_rx) = - CrossRtStream::new_with_df_error_stream_cancellable(inner, exec.clone(), Some(token.clone())); + let (cross, _abort, done_rx) = CrossRtStream::new_with_df_error_stream_cancellable( + inner, + exec.clone(), + Some(token.clone()), + ); // Hold the stream so a consumer-side drop is NOT what ends the task — the token is. let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); token.cancel(); let fired = tokio::time::timeout(std::time::Duration::from_secs(5), done_rx).await; - assert!(fired.is_ok(), "cancelling the token must break the loop and fire done_rx"); - assert!(fired.unwrap().is_ok(), "done_rx must complete, not be dropped"); + assert!( + fired.is_ok(), + "cancelling the token must break the loop and fire done_rx" + ); + assert!( + fired.unwrap().is_ok(), + "done_rx must complete, not be dropped" + ); exec.join_blocking(); } @@ -385,7 +401,10 @@ mod tests { let exec = test_exec(); let schema = test_schema(); let batches = vec![Ok(test_batch(&[1, 2, 3])), Ok(test_batch(&[4, 5]))]; - let inner = Box::pin(RecordBatchStreamAdapter::new(schema.clone(), stream::iter(batches))); + let inner = Box::pin(RecordBatchStreamAdapter::new( + schema.clone(), + stream::iter(batches), + )); let token = CancellationToken::new(); // never cancelled let (cross, _abort, done_rx) = @@ -397,8 +416,14 @@ mod tests { while let Some(batch) = wrapped.next().await { total_rows += batch.unwrap().num_rows(); } - assert_eq!(total_rows, 5, "all rows delivered when the token is never fired"); - assert!(done_rx.await.is_ok(), "done_rx fires on normal drain even with a token present"); + assert_eq!( + total_rows, 5, + "all rows delivered when the token is never fired" + ); + assert!( + done_rx.await.is_ok(), + "done_rx fires on normal drain even with a token present" + ); exec.join_blocking(); } @@ -420,7 +445,10 @@ mod tests { let _wrapped = RecordBatchStreamAdapter::new(cross.schema(), cross); let fired = tokio::time::timeout(std::time::Duration::from_secs(5), done_rx).await; - assert!(fired.is_ok(), "a pre-cancelled token must still terminate the task"); + assert!( + fired.is_ok(), + "a pre-cancelled token must still terminate the task" + ); exec.join_blocking(); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs index d308d0f4e8dc5..c68c8ab8a1d65 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/datafusion_query_config.rs @@ -237,8 +237,14 @@ mod tests { #[test] fn internal_search_from_wire_decodes_modes() { assert_eq!(InternalSearch::from_wire(0, 99), InternalSearch::Off); - assert_eq!(InternalSearch::from_wire(1, 42), InternalSearch::ByRowId(42)); - assert_eq!(InternalSearch::from_wire(2, 7), InternalSearch::SeqNoAbove(7)); + assert_eq!( + InternalSearch::from_wire(1, 42), + InternalSearch::ByRowId(42) + ); + assert_eq!( + InternalSearch::from_wire(2, 7), + InternalSearch::SeqNoAbove(7) + ); // Unknown modes are forward-compatible: treated as Off, bound ignored. assert_eq!(InternalSearch::from_wire(3, 5), InternalSearch::Off); assert!(!InternalSearch::Off.is_internal_search()); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs index 9436ffbd8482f..d6c8e6f19f6ef 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/executor.rs @@ -9,12 +9,14 @@ use futures::{future::BoxFuture, Future, FutureExt, TryFutureExt}; use log::{info, warn}; use parking_lot::RwLock; -use std::sync::Arc; use std::sync::atomic::{AtomicU32, AtomicU64, Ordering}; +use std::sync::Arc; use std::time::{Duration, Instant}; use tokio::{ runtime::Handle, - sync::{oneshot::error::RecvError, Mutex as AsyncMutex, Notify, Semaphore, OwnedSemaphorePermit}, + sync::{ + oneshot::error::RecvError, Mutex as AsyncMutex, Notify, OwnedSemaphorePermit, Semaphore, + }, task::{AbortHandle, JoinSet}, }; @@ -83,11 +85,13 @@ impl ConcurrencyGate { /// Acquire N permits (partition-weighted). Held for the entire query stream lifetime. pub async fn acquire_many(&self, n: u32) -> OwnedSemaphorePermit { - self.pending_acquire_permits.fetch_add(n as u64, Ordering::Relaxed); + self.pending_acquire_permits + .fetch_add(n as u64, Ordering::Relaxed); self.pending_acquire_batches.fetch_add(1, Ordering::Relaxed); let start = Instant::now(); let result = self.semaphore.clone().acquire_many_owned(n).await; - self.pending_acquire_permits.fetch_sub(n as u64, Ordering::Relaxed); + self.pending_acquire_permits + .fetch_sub(n as u64, Ordering::Relaxed); self.pending_acquire_batches.fetch_sub(1, Ordering::Relaxed); let permit = result.expect("concurrency gate semaphore closed"); let elapsed_ms = start.elapsed().as_millis() as u64; @@ -111,7 +115,9 @@ impl ConcurrencyGate { } pub fn active_permits(&self) -> u32 { - self.max_permits.load(Ordering::Acquire).saturating_sub(self.semaphore.available_permits() as u32) + self.max_permits + .load(Ordering::Acquire) + .saturating_sub(self.semaphore.available_permits() as u32) } pub fn total_wait_ms(&self) -> u64 { @@ -150,7 +156,9 @@ impl ConcurrencyGate { if new_max < 1 || new_max > Semaphore::MAX_PERMITS as u32 { warn!( "[{}] resize rejected: new_max {} out of bounds [1, {}]", - gate_name, new_max, Semaphore::MAX_PERMITS + gate_name, + new_max, + Semaphore::MAX_PERMITS ); return; } @@ -203,7 +211,9 @@ impl ConcurrencyGate { // Need to acquire additional poison permits (one at a time for precise release) let additional_needed = total_poison_needed - existing_poison; for _ in 0..additional_needed { - let permit = self.semaphore.clone() + let permit = self + .semaphore + .clone() .acquire_owned() .await .expect("semaphore closed during resize"); @@ -257,7 +267,11 @@ impl std::fmt::Debug for DedicatedExecutor { } impl DedicatedExecutor { - pub fn new(name: &str, runtime_builder: tokio::runtime::Builder, max_concurrent_queries: usize) -> Self { + pub fn new( + name: &str, + runtime_builder: tokio::runtime::Builder, + max_concurrent_queries: usize, + ) -> Self { let name = name.to_owned(); let notify_shutdown = Arc::new(Notify::new()); let notify_shutdown_captured = Arc::clone(¬ify_shutdown); @@ -268,9 +282,7 @@ impl DedicatedExecutor { .name(format!("{name} driver")) .spawn(move || { let mut runtime_builder = runtime_builder; - let runtime = runtime_builder - .build() - .expect("Creating tokio runtime"); + let runtime = runtime_builder.build().expect("Creating tokio runtime"); runtime.block_on(async move { let shutdown = notify_shutdown_captured.notified(); @@ -308,13 +320,15 @@ impl DedicatedExecutor { fut } - /// Like [`spawn`](Self::spawn), but also returns an [`AbortHandle`] that /// can be used to cancel the CPU task from outside (e.g. from `cancel_query`). pub fn spawn_with_abort_handle( &self, task: T, - ) -> (Option, impl Future>) + ) -> ( + Option, + impl Future>, + ) where T: Future + Send + 'static, T::Output: Send + 'static, @@ -517,7 +531,7 @@ mod tests { assert_eq!(gate.max_permits(), 4); assert_eq!(poison_permits_held(&gate).await, 4); // 4 individual permits - // Available permits should be 4: original 8 minus 4 acquired as poison + // Available permits should be 4: original 8 minus 4 acquired as poison assert_eq!(gate.semaphore.available_permits(), 4); } @@ -785,9 +799,7 @@ mod tests { // Spawn a task that will block on acquire let gate_clone = Arc::clone(&gate); - let handle = tokio::spawn(async move { - gate_clone.acquire().await - }); + let handle = tokio::spawn(async move { gate_clone.acquire().await }); // Yield to let the spawned task start waiting tokio::task::yield_now().await; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 4aee89bbaaafd..60864b563014b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -46,14 +46,14 @@ fn timed_block_on( use crate::api; use crate::api::DataFusionRuntime; use crate::cache; -use crate::datafusion_query_config::InternalSearch; use crate::custom_cache_manager::CustomCacheManager; +use crate::datafusion_query_config::InternalSearch; use crate::eviction_policy::CacheEvictionPolicy; use crate::runtime_manager::RuntimeManager; use crate::statistics_cache::CustomStatisticsCache; -use datafusion::execution::cache::DefaultFilesMetadataCache; use crate::cache::page_index; +use datafusion::execution::cache::DefaultFilesMetadataCache; static TOKIO_RUNTIME_MANAGER: RwLock>> = RwLock::new(None); @@ -80,11 +80,18 @@ pub(crate) fn try_get_rt_manager() -> Option> { TOKIO_RUNTIME_MANAGER.read().clone() } - #[no_mangle] -pub extern "C" fn df_init_runtime_manager(cpu_threads: i32, datanode_multiplier: f64, coordinator_multiplier: f64) { +pub extern "C" fn df_init_runtime_manager( + cpu_threads: i32, + datanode_multiplier: f64, + coordinator_multiplier: f64, +) { let mut guard = TOKIO_RUNTIME_MANAGER.write(); - *guard = Some(Arc::new(RuntimeManager::new(cpu_threads as usize, datanode_multiplier, coordinator_multiplier))); + *guard = Some(Arc::new(RuntimeManager::new( + cpu_threads as usize, + datanode_multiplier, + coordinator_multiplier, + ))); } #[no_mangle] @@ -231,7 +238,12 @@ pub extern "C" fn df_set_spill_exempt_cap_bytes(value: i64) { /// Sets memory guard thresholds. Values are thresholds multiplied by 1000 /// (e.g., 700 = 0.70, 850 = 0.85, 950 = 0.95). #[no_mangle] -pub extern "C" fn df_set_memory_guard_thresholds(admission_throttle_x1000: i64, admission_reject_x1000: i64, execution_spill_x1000: i64, execution_critical_x1000: i64) { +pub extern "C" fn df_set_memory_guard_thresholds( + admission_throttle_x1000: i64, + admission_reject_x1000: i64, + execution_spill_x1000: i64, + execution_critical_x1000: i64, +) { crate::memory_guard::set_thresholds(crate::memory_guard::MemoryThresholds { admission_throttle: admission_throttle_x1000 as f64 / 1000.0, admission_reject: admission_reject_x1000 as f64 / 1000.0, @@ -374,7 +386,7 @@ pub unsafe extern "C" fn df_execute_query( ))), } }) - .map_err(|e| e.to_string()) + .map_err(|e| e.to_string()) } /// Fetch specific rows by global row ID — QTF fetch phase. @@ -396,16 +408,39 @@ pub unsafe extern "C" fn df_fetch_by_row_ids( ) -> i64 { // Hard FFM-boundary checks (UB risk if violated): pointers must be non-zero before any deref. // Always-on `assert!` (not debug_assert!) — these protect against use-after-close from Java. - assert!(shard_view_ptr != 0, "df_fetch_by_row_ids: shard_view_ptr is null"); + assert!( + shard_view_ptr != 0, + "df_fetch_by_row_ids: shard_view_ptr is null" + ); assert!(runtime_ptr != 0, "df_fetch_by_row_ids: runtime_ptr is null"); - assert!(row_ids_count >= 0, "df_fetch_by_row_ids: negative row_ids_count {}", row_ids_count); - assert!(col_names_count >= 0, "df_fetch_by_row_ids: negative col_names_count {}", col_names_count); + assert!( + row_ids_count >= 0, + "df_fetch_by_row_ids: negative row_ids_count {}", + row_ids_count + ); + assert!( + col_names_count >= 0, + "df_fetch_by_row_ids: negative col_names_count {}", + col_names_count + ); if row_ids_count > 0 { - assert!(row_ids_ptr != 0, "df_fetch_by_row_ids: row_ids_ptr is null but count={}", row_ids_count); + assert!( + row_ids_ptr != 0, + "df_fetch_by_row_ids: row_ids_ptr is null but count={}", + row_ids_count + ); } if col_names_count > 0 { - assert!(!col_names_ptr.is_null(), "df_fetch_by_row_ids: col_names_ptr is null but count={}", col_names_count); - assert!(!col_names_len_ptr.is_null(), "df_fetch_by_row_ids: col_names_len_ptr is null but count={}", col_names_count); + assert!( + !col_names_ptr.is_null(), + "df_fetch_by_row_ids: col_names_ptr is null but count={}", + col_names_count + ); + assert!( + !col_names_len_ptr.is_null(), + "df_fetch_by_row_ids: col_names_len_ptr is null but count={}", + col_names_count + ); } let mgr = get_rt_manager()?; @@ -413,10 +448,8 @@ pub unsafe extern "C" fn df_fetch_by_row_ids( let runtime = &*(runtime_ptr as *const crate::api::DataFusionRuntime); // Zero-copy read from BigIntVector's direct buffer - let row_ids: Vec = slice::from_raw_parts( - row_ids_ptr as *const i64, - row_ids_count as usize, - ).to_vec(); + let row_ids: Vec = + slice::from_raw_parts(row_ids_ptr as *const i64, row_ids_count as usize).to_vec(); // Parse column names let mut columns: Vec = Vec::with_capacity(col_names_count as usize); @@ -430,12 +463,7 @@ pub unsafe extern "C" fn df_fetch_by_row_ids( mgr.io_runtime .block_on(crate::api::fetch_by_row_ids( - shard_view, - runtime, - &mgr, - row_ids, - columns, - context_id, + shard_view, runtime, &mgr, row_ids, columns, context_id, )) .map_err(|e| e.to_string()) } @@ -450,8 +478,12 @@ pub unsafe extern "C" fn df_stream_get_schema(stream_ptr: i64) -> i64 { #[no_mangle] pub unsafe extern "C" fn df_stream_next(stream_ptr: i64) -> i64 { let mgr = get_rt_manager()?; - timed_block_on(&mgr.io_runtime, "stream_next", crate::task_monitors::stream_next_monitor().instrument(api::stream_next(stream_ptr))) - .map_err(|e| e.to_string()) + timed_block_on( + &mgr.io_runtime, + "stream_next", + crate::task_monitors::stream_next_monitor().instrument(api::stream_next(stream_ptr)), + ) + .map_err(|e| e.to_string()) } #[no_mangle] @@ -464,7 +496,11 @@ pub unsafe extern "C" fn df_stream_close(stream_ptr: i64) { /// Returns 0 on success, non-zero if no metrics are available. /// The caller must free the returned bytes via `df_free_metrics_buf`. #[no_mangle] -pub unsafe extern "C" fn df_stream_get_metrics(stream_ptr: i64, out_ptr: *mut *const u8, out_len_ptr: *mut i64) -> i64 { +pub unsafe extern "C" fn df_stream_get_metrics( + stream_ptr: i64, + out_ptr: *mut *const u8, + out_len_ptr: *mut i64, +) -> i64 { if stream_ptr == 0 { return -1; } @@ -649,8 +685,15 @@ pub unsafe extern "C" fn df_register_partition_stream( .map_err(|e| format!("df_register_partition_stream: input_id: {}", e))?; let partial_plan = slice::from_raw_parts(partial_plan_ptr, partial_plan_len as usize); let (sender_ptr, schema_ipc) = - api::register_partition_stream(session_ptr, input_id, partial_plan).map_err(|e| e.to_string())?; - write_out_buffer(&schema_ipc, out_ptr, out_cap, out_len, "register_partition_stream schema IPC")?; + api::register_partition_stream(session_ptr, input_id, partial_plan) + .map_err(|e| e.to_string())?; + write_out_buffer( + &schema_ipc, + out_ptr, + out_cap, + out_len, + "register_partition_stream schema IPC", + )?; Ok(sender_ptr) } @@ -675,7 +718,10 @@ pub unsafe extern "C" fn df_execute_local_plan( // instead of the IO runtime. Without this, operator hash work runs on IO workers. // The IO runtime still drives the outer block_on (bridging the synchronous FFI // call to the async spawn handle). - timed_block_on(&mgr.io_runtime, "execute_local_plan", crate::task_monitors::coordinator_reduce_monitor().instrument(async move { + timed_block_on( + &mgr.io_runtime, + "execute_local_plan", + crate::task_monitors::coordinator_reduce_monitor().instrument(async move { // No coordinator-gate acquire here. The QTF coordinator-reduce code path runs // synchronously inside the SEARCH-thread FFM call (DatafusionReduceSink.); // gating it would deadlock when the gate is contended because the SEARCH thread @@ -683,8 +729,14 @@ pub unsafe extern "C" fn df_execute_local_plan( // exclusively on the data-node FFM entry points. let inner_fut = async move { unsafe { - api::execute_local_plan(session_ptr, &bytes_vec, &mgr_for_inner, context_id, None) - .await + api::execute_local_plan( + session_ptr, + &bytes_vec, + &mgr_for_inner, + context_id, + None, + ) + .await } }; match mgr_for_spawn.cpu_executor().spawn(inner_fut).await { @@ -693,8 +745,9 @@ pub unsafe extern "C" fn df_execute_local_plan( "execute_local_plan: CPU spawn failed: {e:?}" ))), } - })) - .map_err(|e| e.to_string()) + }), + ) + .map_err(|e| e.to_string()) } #[ffm_safe] @@ -758,10 +811,21 @@ pub unsafe extern "C" fn df_register_memtable( } else { slice::from_raw_parts(schema_ptrs, n) }; - let schema_ipc = - api::register_memtable(session_ptr, input_id, partial_plan, array_slice, schema_slice) - .map_err(|e| e.to_string())?; - write_out_buffer(&schema_ipc, out_ptr, out_cap, out_len, "register_memtable schema IPC")?; + let schema_ipc = api::register_memtable( + session_ptr, + input_id, + partial_plan, + array_slice, + schema_slice, + ) + .map_err(|e| e.to_string())?; + write_out_buffer( + &schema_ipc, + out_ptr, + out_cap, + out_len, + "register_memtable schema IPC", + )?; Ok(0) } @@ -787,10 +851,15 @@ pub unsafe extern "C" fn df_create_cache( // All four cache types share one enum — the per-cache match below enforces // which policies are valid for each type. let policy = match eviction_type.to_uppercase().as_str() { - "LRU" => CacheEvictionPolicy::Lru, - "LFU" => CacheEvictionPolicy::Lfu, + "LRU" => CacheEvictionPolicy::Lru, + "LFU" => CacheEvictionPolicy::Lfu, "FIFO" => CacheEvictionPolicy::Fifo, - _ => return Err(format!("df_create_cache: unsupported eviction type: {}", eviction_type)), + _ => { + return Err(format!( + "df_create_cache: unsupported eviction type: {}", + eviction_type + )) + } }; // Safety: cache_manager_ptr must be a valid pointer from df_create_custom_cache_manager @@ -806,13 +875,12 @@ pub unsafe extern "C" fn df_create_cache( } cache::CACHE_TYPE_STATS => { if policy == CacheEvictionPolicy::Fifo { - return Err("df_create_cache: STATISTICS cache does not support FIFO eviction".to_string()); + return Err( + "df_create_cache: STATISTICS cache does not support FIFO eviction".to_string(), + ); } - let stats_cache = Arc::new(CustomStatisticsCache::new( - policy, - size_limit as usize, - 0.8, - )); + let stats_cache = + Arc::new(CustomStatisticsCache::new(policy, size_limit as usize, 0.8)); manager.set_statistics_cache(stats_cache); } cache::CACHE_TYPE_COLUMN_INDEX => { @@ -867,11 +935,11 @@ pub unsafe extern "C" fn df_cache_manager_add_files( ); } - let rt_manager = get_rt_manager() - .map_err(|e| format!("df_cache_manager_add_files: {}", e))?; + let rt_manager = get_rt_manager().map_err(|e| format!("df_cache_manager_add_files: {}", e))?; let rt_handle = rt_manager.io_runtime.handle(); - manager.add_files(&file_paths, rt_handle) + manager + .add_files(&file_paths, rt_handle) .map_err(|e| format!("df_cache_manager_add_files: {}", e))?; Ok(0) } @@ -917,7 +985,9 @@ pub unsafe extern "C" fn df_cache_manager_add_files_with_store( // Pointer type is `Arc`; the manager calls `put_metadata` // directly via the trait, no downcast needed. let store_box = &*(store_ptr - as *const std::sync::Arc); + as *const std::sync::Arc< + dyn opensearch_tiered_storage::tiered_object_store::MetadataCachingStore, + >); let store = std::sync::Arc::clone(store_box); let mut file_paths = Vec::with_capacity(files_count as usize); @@ -931,11 +1001,12 @@ pub unsafe extern "C" fn df_cache_manager_add_files_with_store( ); } - let rt_manager = get_rt_manager() - .map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))?; + let rt_manager = + get_rt_manager().map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))?; let rt_handle = rt_manager.io_runtime.handle(); - let results = manager.add_files_with_store(&file_paths, store, rt_handle) + let results = manager + .add_files_with_store(&file_paths, store, rt_handle) .map_err(|e| format!("df_cache_manager_add_files_with_store: {}", e))?; // Log summary @@ -986,7 +1057,7 @@ pub unsafe extern "C" fn df_create_session_context( has_partial_aggregate != 0, query_config, plan_bytes, - ) + ), )) .map_err(|e| e.to_string()) } @@ -1035,7 +1106,7 @@ pub unsafe extern "C" fn df_create_session_context_indexed( has_partial_aggregate != 0, query_config, plan_bytes, - ) + ), )) .map_err(|e| e.to_string()) } @@ -1186,7 +1257,10 @@ pub unsafe extern "C" fn df_cache_manager_update_size_limit( return Err("df_cache_manager_update_size_limit: null runtime pointer".to_string()); } if new_limit < 0 { - return Err(format!("df_cache_manager_update_size_limit: negative limit {}", new_limit)); + return Err(format!( + "df_cache_manager_update_size_limit: negative limit {}", + new_limit + )); } let cache_type = str_from_raw(cache_type_ptr, cache_type_len) .map_err(|e| format!("df_cache_manager_update_size_limit: {}", e))?; @@ -1200,11 +1274,15 @@ pub unsafe extern "C" fn df_cache_manager_update_size_limit( Ok(0) } cache::CACHE_TYPE_STATS => { - manager.update_statistics_cache_limit(new_limit as usize) + manager + .update_statistics_cache_limit(new_limit as usize) .map_err(|e| format!("df_cache_manager_update_size_limit: {}", e))?; Ok(0) } - _ => Err(format!("df_cache_manager_update_size_limit: unsupported cache type: {}", cache_type)), + _ => Err(format!( + "df_cache_manager_update_size_limit: unsupported cache type: {}", + cache_type + )), } } @@ -1220,7 +1298,8 @@ pub unsafe extern "C" fn df_execute_with_context( plan_ptr: *const u8, plan_len: i64, ) -> i64 { - let session_handle = *Box::from_raw(session_ctx_ptr as *mut crate::session_context::SessionContextHandle); + let session_handle = + *Box::from_raw(session_ctx_ptr as *mut crate::session_context::SessionContextHandle); let mgr = get_rt_manager()?; let plan_bytes = slice::from_raw_parts(plan_ptr, plan_len as usize); @@ -1255,14 +1334,16 @@ pub unsafe extern "C" fn df_execute_with_context( let max_p = gate.max_permits(); let permit = gate.acquire_many(partition_weight.min(max_p)).await; - let inner_fut = crate::task_monitors::query_execution_monitor().instrument(async move { - crate::indexed_executor::execute_indexed_with_context( - ptr, - plan_vec, - cpu_for_cross, - permit, - ).await - }); + let inner_fut = + crate::task_monitors::query_execution_monitor().instrument(async move { + crate::indexed_executor::execute_indexed_with_context( + ptr, + plan_vec, + cpu_for_cross, + permit, + ) + .await + }); match mgr_for_spawn.cpu_executor().spawn(inner_fut).await { Ok(inner) => inner, Err(e) => Err(datafusion::error::DataFusionError::Execution(format!( @@ -1283,15 +1364,16 @@ pub unsafe extern "C" fn df_execute_with_context( let max_p = gate.max_permits(); let permit = gate.acquire_many(partition_weight.min(max_p)).await; - let inner_fut = crate::task_monitors::query_execution_monitor().instrument(async move { - crate::query_executor::execute_with_context( - session_handle, - &plan_vec, - cpu_for_cross, - permit, - ) - .await - }); + let inner_fut = + crate::task_monitors::query_execution_monitor().instrument(async move { + crate::query_executor::execute_with_context( + session_handle, + &plan_vec, + cpu_for_cross, + permit, + ) + .await + }); match mgr_for_spawn.cpu_executor().spawn(inner_fut).await { Ok(inner) => inner, Err(e) => Err(datafusion::error::DataFusionError::Execution(format!( @@ -1303,7 +1385,6 @@ pub unsafe extern "C" fn df_execute_with_context( } } - // ---- Stats collection ---- /// Collects all native executor metrics into a caller-provided byte buffer. @@ -1317,18 +1398,19 @@ pub unsafe extern "C" fn df_execute_with_context( #[no_mangle] pub unsafe extern "C" fn df_stats(runtime_ptr: i64, out_ptr: *mut u8, out_cap: i64) -> i64 { use crate::stats::{ - layout, pack_cache_stats, pack_partition_gate, pack_runtime_metrics, pack_task_monitor, - pack_adaptive_budget, CacheStatsRepr, DfStatsBuffer, RuntimeMetricsRepr, + layout, pack_adaptive_budget, pack_cache_stats, pack_partition_gate, pack_runtime_metrics, + pack_task_monitor, CacheStatsRepr, DfStatsBuffer, RuntimeMetricsRepr, }; use crate::task_monitors::{ - coordinator_reduce_monitor, query_execution_monitor, - stream_next_monitor, plan_setup_monitor, + coordinator_reduce_monitor, plan_setup_monitor, query_execution_monitor, + stream_next_monitor, }; if out_cap < 0 || (out_cap as usize) < layout::BUFFER_BYTE_SIZE { return Err(format!( "stats buffer too small: need {} but got {}", - layout::BUFFER_BYTE_SIZE, out_cap + layout::BUFFER_BYTE_SIZE, + out_cap )); } @@ -1408,9 +1490,10 @@ pub unsafe extern "C" fn df_prepare_partial_plan( let bytes = slice::from_raw_parts(bytes_ptr, bytes_len); let mgr = get_rt_manager()?; mgr.io_runtime - .block_on(crate::task_monitors::plan_setup_monitor().instrument( - crate::session_context::prepare_partial_plan(handle, bytes) - )) + .block_on( + crate::task_monitors::plan_setup_monitor() + .instrument(crate::session_context::prepare_partial_plan(handle, bytes)), + ) .map_err(|e| e.to_string())?; Ok(0) } @@ -1437,9 +1520,10 @@ pub unsafe extern "C" fn df_prepare_final_plan( let bytes = slice::from_raw_parts(bytes_ptr, bytes_len); let mgr = get_rt_manager()?; mgr.io_runtime - .block_on(crate::task_monitors::plan_setup_monitor().instrument( - session.prepare_final_plan(bytes) - )) + .block_on( + crate::task_monitors::plan_setup_monitor() + .instrument(session.prepare_final_plan(bytes)), + ) .map_err(|e| e.to_string())?; Ok(0) } @@ -1454,10 +1538,7 @@ pub unsafe extern "C" fn df_prepare_final_plan( /// with a plan already prepared via `df_prepare_final_plan`. #[ffm_safe] #[no_mangle] -pub unsafe extern "C" fn df_execute_local_prepared_plan( - session_ptr: i64, - context_id: i64, -) -> i64 { +pub unsafe extern "C" fn df_execute_local_prepared_plan(session_ptr: i64, context_id: i64) -> i64 { let mgr = get_rt_manager()?; // No coordinator-gate acquire here — see df_execute_local_plan for the rationale // (the QTF coordinator-reduce path runs synchronously inside the SEARCH-thread FFM @@ -1480,7 +1561,10 @@ pub unsafe extern "C" fn df_execute_local_prepared_plan( #[no_mangle] pub extern "C" fn df_set_column_index_cache_limit(size_limit: i64) -> i64 { if size_limit < 0 { - return Err(format!("df_set_column_index_cache_limit: negative limit {}", size_limit)); + return Err(format!( + "df_set_column_index_cache_limit: negative limit {}", + size_limit + )); } page_index::set_column_index_cache_limit(size_limit as usize); Ok(0) @@ -1492,7 +1576,10 @@ pub extern "C" fn df_set_column_index_cache_limit(size_limit: i64) -> i64 { #[no_mangle] pub extern "C" fn df_set_offset_index_cache_limit(size_limit: i64) -> i64 { if size_limit < 0 { - return Err(format!("df_set_offset_index_cache_limit: negative limit {}", size_limit)); + return Err(format!( + "df_set_offset_index_cache_limit: negative limit {}", + size_limit + )); } page_index::set_offset_index_cache_limit(size_limit as usize); Ok(0) @@ -1530,7 +1617,10 @@ mod tests { fn send_outcome_maps_receiver_dropped_to_sentinel() { // Must surface the sentinel, not collapse to 0 like a normal send, or Java never latches // isConsumerDone(). - assert_eq!(send_outcome_to_code(SendOutcome::ReceiverDropped), SENDER_SEND_RECEIVER_DROPPED); + assert_eq!( + send_outcome_to_code(SendOutcome::ReceiverDropped), + SENDER_SEND_RECEIVER_DROPPED + ); assert_eq!(SENDER_SEND_RECEIVER_DROPPED, 1); } @@ -1549,11 +1639,7 @@ mod tests { /// Helper: call df_update_concurrency_gate with a Rust string. /// Returns the i64 result (0 = success for the outer call). unsafe fn call_update_gate(gate_name: &str, new_max: u32) -> i64 { - df_update_concurrency_gate( - gate_name.as_ptr(), - gate_name.len() as i64, - new_max, - ) + df_update_concurrency_gate(gate_name.as_ptr(), gate_name.len() as i64, new_max) } /// Validates: Requirements 2.2, 2.4, 2.6 @@ -1571,7 +1657,10 @@ mod tests { // ── Test 1: update before runtime init returns success (Req 2.6) ── shutdown_test_runtime(); // ensure clean state let result = unsafe { call_update_gate("fragment_executor", 10) }; - assert_eq!(result, 0, "FFI call should return success even before runtime init"); + assert_eq!( + result, 0, + "FFI call should return success even before runtime init" + ); // ── Initialize runtime for remaining tests ── init_test_runtime(); @@ -1584,7 +1673,10 @@ mod tests { let new_max = initial_max + 4; let result = unsafe { call_update_gate("fragment_executor", new_max) }; - assert_eq!(result, 0, "FFI call should return success for 'fragment_executor'"); + assert_eq!( + result, 0, + "FFI call should return success for 'fragment_executor'" + ); // The resize is spawned on the IO runtime asynchronously. // Wait briefly for it to complete. @@ -1605,7 +1697,10 @@ mod tests { let fragment_executor_max_before = fragment_executor_gate.max_permits(); let result = unsafe { call_update_gate("unknown_gate", 99) }; - assert_eq!(result, 0, "FFI call should return success even for unknown gate"); + assert_eq!( + result, 0, + "FFI call should return success even for unknown gate" + ); // Wait briefly to ensure no async resize was spawned std::thread::sleep(std::time::Duration::from_millis(100)); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs index 908e0ea4e265f..c35b6ea8d9f99 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs @@ -12,7 +12,9 @@ use std::sync::Arc; use datafusion::common::DataFusionError; use datafusion::datasource::file_format::parquet::ParquetFormat; -use datafusion::datasource::listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl}; +use datafusion::datasource::listing::{ + ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl, +}; use datafusion::execution::context::SessionContext; use datafusion::execution::memory_pool::MemoryPool; use datafusion::execution::runtime_env::{RuntimeEnv, RuntimeEnvBuilder}; @@ -24,7 +26,9 @@ use object_store::{ObjectMeta, ObjectStore}; use crate::agg_mode::physical_optimizer_rules_without_combine; use crate::api::DataFusionRuntime; use crate::datafusion_query_config::DatafusionQueryConfig; -use crate::indexed_table::substrait_to_tree::{create_delegation_possible_udf, create_index_filter_udf}; +use crate::indexed_table::substrait_to_tree::{ + create_delegation_possible_udf, create_index_filter_udf, +}; use crate::query_executor::build_query_runtime_env; use crate::query_tracker::{QueryTrackingContext, QueryType}; use crate::schema_coerce::coerce_inferred_schema; @@ -45,7 +49,9 @@ pub fn new_query_tracking_context( query_type: QueryType, ) -> (QueryTrackingContext, Option>) { let query_context = QueryTrackingContext::new(context_id, global_pool, query_type); - let query_memory_pool = query_context.memory_pool().map(|p| p as Arc); + let query_memory_pool = query_context + .memory_pool() + .map(|p| p as Arc); (query_context, query_memory_pool) } @@ -158,7 +164,8 @@ pub fn build_query_session_context( indexed_path: bool, ) -> SessionContext { let mut config = SessionConfig::new(); - config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; + config.options_mut().execution.parquet.pushdown_filters = + query_config.listing_table_pushdown_filters; config.options_mut().execution.target_partitions = target_partitions.max(1); config.options_mut().execution.batch_size = query_config.batch_size; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs index 9d21b6d5f40ca..b3484fbe2c2b9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_executor.rs @@ -21,14 +21,11 @@ use std::sync::Arc; -use native_bridge_common::log_debug; use datafusion::{ - physical_plan::displayable, - physical_plan::execute_stream, - common::DataFusionError, arrow::datatypes::SchemaRef, catalog::Session, common::tree_node::{TreeNode, TreeNodeRecursion}, + common::DataFusionError, datasource::{TableProvider, TableType}, execution::memory_pool::MemoryPool, execution::object_store::ObjectStoreUrl, @@ -36,17 +33,22 @@ use datafusion::{ physical_expr::expressions::Column, physical_expr::PhysicalExpr, physical_optimizer::pruning::PruningPredicate, + physical_plan::displayable, + physical_plan::execute_stream, physical_plan::stream::RecordBatchStreamAdapter, - physical_plan::ExecutionPlan + physical_plan::ExecutionPlan, }; use datafusion_substrait::logical_plan::consumer::from_substrait_plan; +use native_bridge_common::log_debug; use prost::Message; use substrait::proto::Plan; use crate::api::DataFusionRuntime; use crate::cross_rt_stream::CrossRtStream; use crate::executor::DedicatedExecutor; -use crate::helper::{build_query_runtime_env_with_store, build_query_session_context, register_listing_table}; +use crate::helper::{ + build_query_runtime_env_with_store, build_query_session_context, register_listing_table, +}; use crate::indexed_table::bool_tree::BoolNode; use crate::indexed_table::eval::bitmap_tree::{BitmapTreeEvaluator, CollectorLeafBitmaps}; use crate::indexed_table::eval::single_collector::SingleCollectorEvaluator; @@ -70,8 +72,12 @@ use crate::cache::page_index; use crate::datafusion_query_config::DatafusionQueryConfig; use crate::indexed_table::bool_tree::residual_bool_to_physical_expr; use crate::indexed_table::metrics::StreamMetrics; -use crate::indexed_table::page_pruner::{build_pruning_predicate, PagePruneMetrics, StatsPruneTree}; -use crate::parquet_page_cache::{load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair}; +use crate::indexed_table::page_pruner::{ + build_pruning_predicate, PagePruneMetrics, StatsPruneTree, +}; +use crate::parquet_page_cache::{ + load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair, +}; /// Execute an indexed query. /// @@ -126,7 +132,11 @@ pub async fn execute_indexed_query( writer_generations: shard_view.writer_generations.clone(), sort_fields: shard_view.sort_fields.clone(), sort_orders: shard_view.sort_orders.clone(), - query_context: crate::query_tracker::QueryTrackingContext::new(context_id, runtime.runtime_env.memory_pool.clone(), crate::query_tracker::QueryType::Shard), + query_context: crate::query_tracker::QueryTrackingContext::new( + context_id, + runtime.runtime_env.memory_pool.clone(), + crate::query_tracker::QueryType::Shard, + ), table_name: table_name.clone(), indexed_config: None, // derive classification from tree query_config: Arc::unwrap_or_clone(query_config), @@ -214,8 +224,12 @@ pub(crate) fn should_reverse_segments( sort_orders: &[String], ) -> bool { let Some(top) = top_sort else { return false }; - let Some(catalog_field) = sort_fields.first() else { return false }; - let Some(catalog_order) = sort_orders.first() else { return false }; + let Some(catalog_field) = sort_fields.first() else { + return false; + }; + let Some(catalog_order) = sort_orders.first() else { + return false; + }; if top.column != *catalog_field { return false; } @@ -346,7 +360,11 @@ fn build_prune_tree_config( tree: &Arc, schema: &SchemaRef, leaf_exprs: &[Arc], -) -> Option<(Arc, Arc>>, SchemaRef)> { +) -> Option<( + Arc, + Arc>>, + SchemaRef, +)> { let leaf_predicates: HashMap> = leaf_exprs .iter() .filter_map(|expr| { @@ -357,7 +375,11 @@ fn build_prune_tree_config( if leaf_predicates.is_empty() { return None; } - Some((Arc::clone(tree), Arc::new(leaf_predicates), Arc::clone(schema))) + Some(( + Arc::clone(tree), + Arc::new(leaf_predicates), + Arc::clone(schema), + )) } /// For a tree classified as `SingleCollector`, walk it to find the single @@ -449,9 +471,7 @@ mod tests { use std::sync::Arc; fn collector(id: i32) -> BoolNode { - BoolNode::Collector { - annotation_id: id, - } + BoolNode::Collector { annotation_id: id } } fn pred() -> BoolNode { @@ -502,10 +522,7 @@ mod tests { let p2 = pred(); let tree = BoolNode::And(vec![ p1, - BoolNode::And(vec![ - collector(0), - BoolNode::And(vec![collector(1), p2]), - ]), + BoolNode::And(vec![collector(0), BoolNode::And(vec![collector(1), p2])]), ]); let r = extract_single_collector_residual(&tree).unwrap(); match r { @@ -522,10 +539,7 @@ mod tests { // AND(C, AND(P, OR(P, P))) → AND(P, OR(P, P)) let tree = BoolNode::And(vec![ collector(10), - BoolNode::And(vec![ - pred(), - BoolNode::Or(vec![pred(), pred()]), - ]), + BoolNode::And(vec![pred(), BoolNode::Or(vec![pred(), pred()])]), ]); let r = extract_single_collector_residual(&tree).unwrap(); match r { @@ -551,8 +565,8 @@ mod tests { // ── analyze_top_sort / should_reverse_segments ──────────────────── fn build_logical_plan(sql: &str) -> datafusion::logical_expr::LogicalPlan { - use datafusion::execution::SessionStateBuilder; use datafusion::execution::context::SessionContext; + use datafusion::execution::SessionStateBuilder; let state = SessionStateBuilder::new().with_default_features().build(); let ctx = SessionContext::new_with_state(state); let schema = Arc::new(Schema::new(vec![ @@ -650,7 +664,10 @@ mod tests { #[test] fn should_reverse_segments_matches_leading_field_opposite_direction() { - let top = TopSort { column: "id".to_string(), descending: true }; + let top = TopSort { + column: "id".to_string(), + descending: true, + }; let fields = vec!["id".to_string()]; let orders = vec!["asc".to_string()]; assert!(should_reverse_segments(Some(&top), &fields, &orders)); @@ -658,7 +675,10 @@ mod tests { #[test] fn should_reverse_segments_matches_leading_field_same_direction() { - let top = TopSort { column: "id".to_string(), descending: false }; + let top = TopSort { + column: "id".to_string(), + descending: false, + }; let fields = vec!["id".to_string()]; let orders = vec!["asc".to_string()]; assert!(!should_reverse_segments(Some(&top), &fields, &orders)); @@ -666,7 +686,10 @@ mod tests { #[test] fn should_reverse_segments_catalog_desc_query_asc() { - let top = TopSort { column: "id".to_string(), descending: false }; + let top = TopSort { + column: "id".to_string(), + descending: false, + }; let fields = vec!["id".to_string()]; let orders = vec!["desc".to_string()]; assert!(should_reverse_segments(Some(&top), &fields, &orders)); @@ -681,7 +704,10 @@ mod tests { #[test] fn should_reverse_segments_no_catalog_sort() { - let top = TopSort { column: "id".to_string(), descending: true }; + let top = TopSort { + column: "id".to_string(), + descending: true, + }; assert!(!should_reverse_segments(Some(&top), &[], &[])); } @@ -689,7 +715,10 @@ mod tests { fn should_reverse_segments_query_sort_on_non_leading_catalog_field() { // Catalog: [a ASC, b ASC]; query: ORDER BY b DESC. Segments are monotonic on `a` // (the leading key), not `b`. Reversing won't help — decline. - let top = TopSort { column: "b".to_string(), descending: true }; + let top = TopSort { + column: "b".to_string(), + descending: true, + }; let fields = vec!["a".to_string(), "b".to_string()]; let orders = vec!["asc".to_string(), "asc".to_string()]; assert!(!should_reverse_segments(Some(&top), &fields, &orders)); @@ -699,7 +728,10 @@ mod tests { fn should_reverse_segments_field_name_case_sensitive() { // Match PR #22041 — `Column::from_name` is case-sensitive. If casing differs, // we don't claim the catalog ordering applies. Safe default: no reversal. - let top = TopSort { column: "ID".to_string(), descending: true }; + let top = TopSort { + column: "ID".to_string(), + descending: true, + }; let fields = vec!["id".to_string()]; let orders = vec!["asc".to_string()]; assert!(!should_reverse_segments(Some(&top), &fields, &orders)); @@ -711,13 +743,11 @@ mod tests { use datafusion::parquet::file::metadata::{FileMetaData, ParquetMetaData}; // Build a minimal ParquetMetaData. We never read it back in these tests. let schema = std::sync::Arc::new( - datafusion::parquet::schema::types::SchemaDescriptor::new( - std::sync::Arc::new( - datafusion::parquet::schema::types::Type::group_type_builder("schema") - .build() - .unwrap(), - ), - ), + datafusion::parquet::schema::types::SchemaDescriptor::new(std::sync::Arc::new( + datafusion::parquet::schema::types::Type::group_type_builder("schema") + .build() + .unwrap(), + )), ); let file_meta = FileMetaData::new(0, 0, None, None, schema, None); let pq_meta = ParquetMetaData::new(file_meta, vec![]); @@ -753,7 +783,7 @@ mod tests { assert_eq!(segs[1].max_doc, 20); assert_eq!(segs[1].global_base, 10); // B's catalog base, unchanged. assert_eq!(segs[2].max_doc, 10); - assert_eq!(segs[2].global_base, 0); // A's catalog base, unchanged. + assert_eq!(segs[2].global_base, 0); // A's catalog base, unchanged. } #[test] @@ -786,11 +816,13 @@ pub async unsafe fn execute_indexed_with_context( cpu_executor: DedicatedExecutor, permit: tokio::sync::OwnedSemaphorePermit, ) -> Result { - let handle = *Box::from_raw(session_ctx_ptr as *mut crate::session_context::SessionContextHandle); + let handle = + *Box::from_raw(session_ctx_ptr as *mut crate::session_context::SessionContextHandle); let context_id = handle.query_context.context_id(); let token = crate::query_tracker::get_cancellation_token(context_id); - let query_future = execute_indexed_with_context_inner(handle, substrait_bytes, cpu_executor, permit); + let query_future = + execute_indexed_with_context_inner(handle, substrait_bytes, cpu_executor, permit); crate::cancellation::cancellable(token.as_ref(), context_id, query_future) .await .map_err(DataFusionError::Execution) @@ -802,7 +834,6 @@ async unsafe fn execute_indexed_with_context_inner( cpu_executor: DedicatedExecutor, permit: tokio::sync::OwnedSemaphorePermit, ) -> Result { - // Permit was acquired by the caller (ffm.rs) on the IO runtime before // spawning on the CPU runtime, so the Java search thread blocks at the // gate when it is full — creating backpressure at the Java threadpool level. @@ -815,19 +846,24 @@ async unsafe fn execute_indexed_with_context_inner( let context_id_early = handle.query_context.context_id(); // engine-native-merge: borrow the partial-state schema from the prepared plan so the // empty stream matches the populated shards' wire shape (e.g. Binary HLL for dc()). - let plan_schema: arrow::datatypes::SchemaRef = if let Some(prepared) = handle.prepared_plan.as_ref() { - Arc::new(prepared.schema().as_ref().clone()) - } else { - let plan = Plan::decode(substrait_bytes.as_slice()) - .map_err(|e| DataFusionError::Execution(format!("decode substrait: {}", e)))?; - let logical_plan = from_substrait_plan(&handle.ctx.state(), &plan).await?; - Arc::new(logical_plan.schema().as_arrow().clone()) - }; + let plan_schema: arrow::datatypes::SchemaRef = + if let Some(prepared) = handle.prepared_plan.as_ref() { + Arc::new(prepared.schema().as_ref().clone()) + } else { + let plan = Plan::decode(substrait_bytes.as_slice()) + .map_err(|e| DataFusionError::Execution(format!("decode substrait: {}", e)))?; + let logical_plan = from_substrait_plan(&handle.ctx.state(), &plan).await?; + Arc::new(logical_plan.schema().as_arrow().clone()) + }; let plan_schema = crate::schema_coerce::coerce_inferred_schema(plan_schema); let empty_exec = EmptyExec::new(Arc::clone(&plan_schema)); let df_stream = empty_exec.execute(0, handle.ctx.task_ctx())?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_executor.clone(), + None, + ); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id_early, h); } @@ -848,7 +884,10 @@ async unsafe fn execute_indexed_with_context_inner( } // Java-side QTF signal: scan must emit __row_id__. Captured before consuming indexed_config below. - let requests_row_ids = handle.indexed_config.as_ref().is_some_and(|c| c.requests_row_ids); + let requests_row_ids = handle + .indexed_config + .as_ref() + .is_some_and(|c| c.requests_row_ids); let classification_override = handle.indexed_config.map(|config| { // FilterTreeShape: 1 = CONJUNCTIVE → SingleCollector, 2 = INTERLEAVED → Tree. match (config.tree_shape, config.delegated_predicate_count) { @@ -889,10 +928,7 @@ async unsafe fn execute_indexed_with_context_inner( // with IndexedTableProvider after plan decoding. ctx.deregister_table(®ister_name)?; - let store = ctx - .state() - .runtime_env() - .object_store(&table_path)?; + let store = ctx.state().runtime_env().object_store(&table_path)?; let state = ctx.state(); let metadata_cache = state.runtime_env().cache_manager.get_file_metadata_cache(); @@ -909,7 +945,12 @@ async unsafe fn execute_indexed_with_context_inner( .map_err(DataFusionError::Execution)?; let schema = crate::schema_coerce::coerce_inferred_schema(schema); // Widen to the plan's base_schema so columns absent from this shard's parquet (cross-shard drift) are null-filled at read time. - let schema = crate::session_context::widen_schema_from_plan(&ctx, &substrait_bytes, ®ister_name, &schema); + let schema = crate::session_context::widen_schema_from_plan( + &ctx, + &substrait_bytes, + ®ister_name, + &schema, + ); let placeholder: Arc = Arc::new(PlaceholderProvider { schema: schema.clone(), @@ -930,7 +971,11 @@ async unsafe fn execute_indexed_with_context_inner( // interpretable by `api::fetch_by_row_ids` (which builds its own segments from // `ShardView.object_metas` in catalog order). let mut segments = segments; - if should_reverse_segments(analyze_top_sort(&logical_plan).as_ref(), &sort_fields, &sort_orders) { + if should_reverse_segments( + analyze_top_sort(&logical_plan).as_ref(), + &sort_fields, + &sort_orders, + ) { log_debug!( "indexed_executor: reversing segment iteration (catalog leading sort={:?} {:?}, query opposite)", sort_fields.first(), @@ -981,9 +1026,9 @@ async unsafe fn execute_indexed_with_context_inner( FilterClass::None => { // Predicate-only: push the whole tree (may be an unfoldable constant); // None = no filter = full scan. - extraction.as_ref().and_then(|e| { - residual_bool_to_physical_expr(&e.tree) - }) + extraction + .as_ref() + .and_then(|e| residual_bool_to_physical_expr(&e.tree)) } FilterClass::Tree => None, }; @@ -1001,13 +1046,12 @@ async unsafe fn execute_indexed_with_context_inner( let projection_column_names = collect_plan_column_names(&logical_plan); if !predicate_column_names.is_empty() || !projection_column_names.is_empty() { for segment in segments.iter_mut() { - let (parquet_cols, offset_cols) = - resolve_predicate_parquet_columns_pair( - &schema, - &segment.metadata, - &predicate_column_names, - &projection_column_names, - ); + let (parquet_cols, offset_cols) = resolve_predicate_parquet_columns_pair( + &schema, + &segment.metadata, + &predicate_column_names, + &projection_column_names, + ); if parquet_cols.is_empty() && offset_cols.is_empty() { continue; } @@ -1037,22 +1081,30 @@ async unsafe fn execute_indexed_with_context_inner( let prune_tree_config = extraction .as_ref() .and_then(|e| build_prune_tree_config(&e.tree, &schema_for_pruner, &leaf_exprs)); - let residual_expr: Option> = extraction.as_ref().and_then(|e| { - residual_bool_to_physical_expr(&e.tree) - }); + let residual_expr: Option> = extraction + .as_ref() + .and_then(|e| residual_bool_to_physical_expr(&e.tree)); let residual_pruning_predicate: Option> = residual_expr .as_ref() .and_then(|expr| build_pruning_predicate(expr, Arc::clone(&schema_for_pruner))); - (Arc::new( - move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { - let pruner = Arc::new(PagePruner::new( - &schema_for_pruner, - Arc::clone(&segment.metadata), - )); - let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); - let eval: Arc = + ( + Arc::new( + move |segment: &SegmentFileInfo, + chunk, + stream_metrics: &StreamMetrics, + stats_prune_tree: Option<&Arc>| { + let pruner = Arc::new(PagePruner::new( + &schema_for_pruner, + Arc::clone(&segment.metadata), + )); + let rg_index_to_pos: HashMap = chunk + .row_group_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); + let eval: Arc = Arc::new(crate::indexed_table::eval::predicate_evaluator::PredicateOnlyEvaluator::new( pruner, residual_pruning_predicate.clone(), @@ -1061,9 +1113,11 @@ async unsafe fn execute_indexed_with_context_inner( stats_prune_tree.cloned(), rg_index_to_pos, )); - Ok(eval) - }, - ), prune_tree_config) + Ok(eval) + }, + ), + prune_tree_config, + ) } FilterClass::SingleCollector => { let extraction = extraction.as_ref().ok_or_else(|| { @@ -1072,7 +1126,8 @@ async unsafe fn execute_indexed_with_context_inner( ) })?; let schema_for_pruner = schema.clone(); - let prune_tree_config = build_prune_tree_config(&extraction.tree, &schema_for_pruner, &leaf_exprs); + let prune_tree_config = + build_prune_tree_config(&extraction.tree, &schema_for_pruner, &leaf_exprs); // Correctness-delegated provider (eager). `None` when the query has only // performance-delegated leaves and no Collector at all. @@ -1124,11 +1179,16 @@ async unsafe fn execute_indexed_with_context_inner( let call_strategy = CollectorCallStrategy::PageRangeSplit; let bloom_store = Arc::clone(&store); let bloom_schema = schema.clone(); - (Arc::new( - move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { - let collector_opt: Option> = match &correctness_provider { - Some(provider) => { - let collector = FfmSegmentCollector::create( + ( + Arc::new( + move |segment: &SegmentFileInfo, + chunk, + stream_metrics: &StreamMetrics, + stats_prune_tree: Option<&Arc>| { + let collector_opt: Option> = + match &correctness_provider { + Some(provider) => { + let collector = FfmSegmentCollector::create( context_id, provider.key(), segment.writer_generation, @@ -1146,25 +1206,28 @@ async unsafe fn execute_indexed_with_context_inner( e ) })?; - Some(Arc::new(collector) as Arc) - } - None => None, - }; - let pruner = Arc::new(PagePruner::new( - &schema_for_pruner, - Arc::clone(&segment.metadata), - )); - // Bloom-filter row-group pruning is always enabled on the indexed read path. - let bloom_config = Some(crate::indexed_table::eval::single_collector::BloomConfig { - store: Arc::clone(&bloom_store), - object_path: segment.object_path.clone(), - metadata: Arc::clone(&segment.metadata), - arrow_schema: Arc::clone(&bloom_schema), - io_handle: io_handle.clone(), - rg_bloom_pruned: stream_metrics.rg_bloom_pruned.clone(), - bloom_filter_eval_time: stream_metrics.bloom_filter_eval_time.clone(), - }); - let eval: Arc = + Some(Arc::new(collector) as Arc) + } + None => None, + }; + let pruner = Arc::new(PagePruner::new( + &schema_for_pruner, + Arc::clone(&segment.metadata), + )); + // Bloom-filter row-group pruning is always enabled on the indexed read path. + let bloom_config = + Some(crate::indexed_table::eval::single_collector::BloomConfig { + store: Arc::clone(&bloom_store), + object_path: segment.object_path.clone(), + metadata: Arc::clone(&segment.metadata), + arrow_schema: Arc::clone(&bloom_schema), + io_handle: io_handle.clone(), + rg_bloom_pruned: stream_metrics.rg_bloom_pruned.clone(), + bloom_filter_eval_time: stream_metrics + .bloom_filter_eval_time + .clone(), + }); + let eval: Arc = Arc::new(SingleCollectorEvaluator::new( collector_opt, pruner, @@ -1181,9 +1244,11 @@ async unsafe fn execute_indexed_with_context_inner( stats_prune_tree.cloned(), chunk.row_group_indices.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), )); - Ok(eval) - }, - ), prune_tree_config) + Ok(eval) + }, + ), + prune_tree_config, + ) } FilterClass::Tree => { let extraction = extraction.ok_or_else(|| { @@ -1195,7 +1260,10 @@ async unsafe fn execute_indexed_with_context_inner( // same-kind connectives. Flatten after push_not_down so the // connective changes from De Morgan (e.g. NOT(AND(...)) -> OR(NOT...)) // get absorbed into the surrounding Or if applicable. - let tree = Arc::try_unwrap(extraction.tree).unwrap().push_not_down().flatten(); + let tree = Arc::try_unwrap(extraction.tree) + .unwrap() + .push_not_down() + .flatten(); // One provider per Collector leaf (DFS order). let leaf_ids = tree.collector_leaves(); let mut providers: Vec> = Vec::with_capacity(leaf_ids.len()); @@ -1237,60 +1305,78 @@ async unsafe fn execute_indexed_with_context_inner( let prune_tree_config = if pruning_predicates.is_empty() { None } else { - Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema_for_pruner.clone())) + Some(( + Arc::clone(&tree), + Arc::clone(&pruning_predicates), + schema_for_pruner.clone(), + )) }; - (Arc::new( - move |segment: &SegmentFileInfo, chunk, stream_metrics: &StreamMetrics, stats_prune_tree: Option<&Arc>| { - // Build one collector per Collector leaf for this chunk. - let mut per_leaf: Vec<(i32, Arc)> = - Vec::with_capacity(providers.len()); - for (idx, provider) in providers.iter().enumerate() { - let collector = FfmSegmentCollector::create( - context_id, - provider.key(), - segment.writer_generation, - chunk.doc_min, - chunk.doc_max, - ) + ( + Arc::new( + move |segment: &SegmentFileInfo, + chunk, + stream_metrics: &StreamMetrics, + stats_prune_tree: Option<&Arc>| { + // Build one collector per Collector leaf for this chunk. + let mut per_leaf: Vec<(i32, Arc)> = + Vec::with_capacity(providers.len()); + for (idx, provider) in providers.iter().enumerate() { + let collector = FfmSegmentCollector::create( + context_id, + provider.key(), + segment.writer_generation, + chunk.doc_min, + chunk.doc_max, + ) .map_err(|e| format!("leaf {} collector: {}", idx, e))?; - per_leaf.push(( - provider.key(), - Arc::new(collector) as Arc, + per_leaf.push(( + provider.key(), + Arc::new(collector) as Arc, + )); + } + + let resolved = tree.resolve(&per_leaf).map_err(|e| { + format!( + "tree.resolve for segment gen={}: {}", + segment.writer_generation, e + ) + })?; + let resolved = Arc::new(resolved); + + let pruner = Arc::new(PagePruner::new( + &schema_for_pruner, + Arc::clone(&segment.metadata), )); - } - - let resolved = tree.resolve(&per_leaf).map_err(|e| { - format!("tree.resolve for segment gen={}: {}", segment.writer_generation, e) - })?; - let resolved = Arc::new(resolved); - - let pruner = Arc::new(PagePruner::new( - &schema_for_pruner, - Arc::clone(&segment.metadata), - )); - - let eval: Arc = Arc::new(TreeBitsetSource { - tree: resolved, - evaluator: Arc::new(BitmapTreeEvaluator), - leaves: Arc::new(CollectorLeafBitmaps { - ffm_collector_calls: stream_metrics.ffm_collector_calls.clone(), - }), - page_pruner: pruner, - cost_predicate, - cost_collector, - max_collector_parallelism, - pruning_predicates: Arc::clone(&pruning_predicates), - page_prune_metrics: Some(PagePruneMetrics::from_stream_metrics( - stream_metrics, - )), - collector_strategy, - stats_prune_tree: stats_prune_tree.cloned(), - rg_index_to_pos: chunk.row_group_indices.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), - }); - Ok(eval) - }, - ), prune_tree_config) + + let eval: Arc = Arc::new(TreeBitsetSource { + tree: resolved, + evaluator: Arc::new(BitmapTreeEvaluator), + leaves: Arc::new(CollectorLeafBitmaps { + ffm_collector_calls: stream_metrics.ffm_collector_calls.clone(), + }), + page_pruner: pruner, + cost_predicate, + cost_collector, + max_collector_parallelism, + pruning_predicates: Arc::clone(&pruning_predicates), + page_prune_metrics: Some(PagePruneMetrics::from_stream_metrics( + stream_metrics, + )), + collector_strategy, + stats_prune_tree: stats_prune_tree.cloned(), + rg_index_to_pos: chunk + .row_group_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(), + }); + Ok(eval) + }, + ), + prune_tree_config, + ) } }; @@ -1322,7 +1408,10 @@ async unsafe fn execute_indexed_with_context_inner( ctx.register_table(®ister_name, provider)?; let logical_plan = from_substrait_plan(&ctx.state(), &plan).await?; - log_debug!("DataFusion logical plan:\n{}", logical_plan.display_indent()); + log_debug!( + "DataFusion logical plan:\n{}", + logical_plan.display_indent() + ); let dataframe = ctx.execute_logical_plan(logical_plan).await?; let physical_plan = dataframe.create_physical_plan().await?; // Retag bit-compatible Int↔UInt output mismatches to match the substrait-declared @@ -1338,7 +1427,10 @@ async unsafe fn execute_indexed_with_context_inner( }; let target_schema = crate::schema_coerce::coerce_inferred_schema(physical_plan.schema()); let physical_plan = crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; - log_debug!("DataFusion physical plan:\n{}", displayable(physical_plan.as_ref()).indent(true)); + log_debug!( + "DataFusion physical plan:\n{}", + displayable(physical_plan.as_ref()).indent(true) + ); let df_stream = execute_stream(physical_plan.clone(), ctx.task_ctx()) .map_err(|e| DataFusionError::Execution(format!("execute_stream: {}", e)))?; @@ -1354,6 +1446,12 @@ async unsafe fn execute_indexed_with_context_inner( let schema = cross_rt_stream.schema(); let wrapped = RecordBatchStreamAdapter::new(schema, cross_rt_stream); - let stream_handle = crate::api::QueryStreamHandle::with_physical_plan(wrapped, query_context, ctx, Some(permit), physical_plan); + let stream_handle = crate::api::QueryStreamHandle::with_physical_plan( + wrapped, + query_context, + ctx, + Some(permit), + physical_plan, + ); Ok(Box::into_raw(Box::new(stream_handle)) as i64) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bloom_pruner.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bloom_pruner.rs index 1f36b505f7e52..1175d3ef93a80 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bloom_pruner.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bloom_pruner.rs @@ -42,9 +42,7 @@ impl BloomFilterStatistics { /// definitely absent. fn check_scalar(sbbf: &Sbbf, value: &ScalarValue) -> bool { match value { - ScalarValue::Utf8(Some(s)) | ScalarValue::LargeUtf8(Some(s)) => { - sbbf.check(s.as_str()) - } + ScalarValue::Utf8(Some(s)) | ScalarValue::LargeUtf8(Some(s)) => sbbf.check(s.as_str()), ScalarValue::Binary(Some(b)) | ScalarValue::LargeBinary(Some(b)) => { sbbf.check(b.as_slice()) } @@ -94,11 +92,7 @@ impl PruningStatistics for BloomFilterStatistics { fn row_counts(&self) -> Option { None } - fn contained( - &self, - column: &Column, - values: &HashSet, - ) -> Option { + fn contained(&self, column: &Column, values: &HashSet) -> Option { let sbbf = self.blooms.get(column.name())?; // For the single-container case (1 row group), we return a // single-element BooleanArray. `true` means the bloom filter says @@ -185,12 +179,10 @@ async fn bloom_prune_rg_inner( // Read the bloom filter bytes from the object store. let opts = GetOptions { - range: Some(GetRange::Bounded( - std::ops::Range { - start: bf_offset, - end: bf_offset + bf_length, - }, - )), + range: Some(GetRange::Bounded(std::ops::Range { + start: bf_offset, + end: bf_offset + bf_length, + })), ..Default::default() }; @@ -206,9 +198,7 @@ async fn bloom_prune_rg_inner( return Ok(false); // no bloom filters available → cannot prune } - let stats = BloomFilterStatistics { - blooms, - }; + let stats = BloomFilterStatistics { blooms }; // Call the pruning predicate with our bloom-filter-backed statistics. // Result is a Vec with one entry per container (we have 1 container). diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bool_tree.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bool_tree.rs index 9f59f377f2636..5ff047c8de8d8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bool_tree.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/bool_tree.rs @@ -109,9 +109,10 @@ impl BoolNode { /// yet (Phase 7 fast-follow). pub fn delegation_possible_leaf_count(&self) -> usize { match self { - BoolNode::And(children) | BoolNode::Or(children) => { - children.iter().map(|c| c.delegation_possible_leaf_count()).sum() - } + BoolNode::And(children) | BoolNode::Or(children) => children + .iter() + .map(|c| c.delegation_possible_leaf_count()) + .sum(), BoolNode::Not(child) => child.delegation_possible_leaf_count(), BoolNode::DelegationPossible { .. } => 1, BoolNode::Collector { .. } => 0, @@ -195,14 +196,22 @@ impl BoolNode { /// the Tree-path evaluator. pub fn demote_delegation_possible(self) -> BoolNode { match self { - BoolNode::And(children) => { - BoolNode::And(children.into_iter().map(|c| c.demote_delegation_possible()).collect()) - } - BoolNode::Or(children) => { - BoolNode::Or(children.into_iter().map(|c| c.demote_delegation_possible()).collect()) - } + BoolNode::And(children) => BoolNode::And( + children + .into_iter() + .map(|c| c.demote_delegation_possible()) + .collect(), + ), + BoolNode::Or(children) => BoolNode::Or( + children + .into_iter() + .map(|c| c.demote_delegation_possible()) + .collect(), + ), BoolNode::Not(child) => BoolNode::Not(Box::new(child.demote_delegation_possible())), - BoolNode::DelegationPossible { original_expr, .. } => BoolNode::Predicate(original_expr), + BoolNode::DelegationPossible { original_expr, .. } => { + BoolNode::Predicate(original_expr) + } leaf @ (BoolNode::Collector { .. } | BoolNode::Predicate(_)) => leaf, } } @@ -470,9 +479,7 @@ mod tests { } fn collector(id: i32) -> BoolNode { - BoolNode::Collector { - annotation_id: id, - } + BoolNode::Collector { annotation_id: id } } fn predicate(col: &str, op: Operator, v: i32) -> BoolNode { @@ -519,10 +526,7 @@ mod tests { #[test] fn de_morgan_not_and_to_or() { - let tree = BoolNode::Not(Box::new(BoolNode::And(vec![ - collector(0), - collector(1), - ]))); + let tree = BoolNode::Not(Box::new(BoolNode::And(vec![collector(0), collector(1)]))); match tree.push_not_down() { BoolNode::Or(children) => { assert_eq!(children.len(), 2); @@ -772,7 +776,11 @@ mod tests { BoolNode::Or(children) => { assert_eq!(children.len(), 2); for c in &children { - assert!(matches!(c, BoolNode::Predicate(_)), "expected Predicate, got {:?}", c); + assert!( + matches!(c, BoolNode::Predicate(_)), + "expected Predicate, got {:?}", + c + ); } } other => panic!("expected Or with two Predicates, got {:?}", other), @@ -807,7 +815,10 @@ mod tests { match demoted { BoolNode::Or(children) => { assert_eq!(children.len(), 3); - assert!(matches!(&children[0], BoolNode::Collector { annotation_id: 7 })); + assert!(matches!( + &children[0], + BoolNode::Collector { annotation_id: 7 } + )); assert!(matches!(&children[1], BoolNode::Predicate(_))); assert!(matches!(&children[2], BoolNode::Predicate(_))); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs index 27a53ee5c99ca..427ddd9060bde 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter.rs @@ -49,7 +49,10 @@ struct SingleRowGroupStatistics<'a> { } impl<'a> SingleRowGroupStatistics<'a> { - fn converter<'b>(&'a self, column: &'b Column) -> datafusion::common::Result> { + fn converter<'b>( + &'a self, + column: &'b Column, + ) -> datafusion::common::Result> { Ok(StatisticsConverter::try_new( &column.name, self.arrow_schema, @@ -121,10 +124,7 @@ pub struct DynamicRgPruner { impl DynamicRgPruner { /// Build a pruner over `filter`. Returns `None` if `filter` is `None` /// (no dynamic filter was accepted), so the hot path can skip all work. - pub fn new( - filter: Option>, - full_schema: SchemaRef, - ) -> Option { + pub fn new(filter: Option>, full_schema: SchemaRef) -> Option { filter.map(|filter| Self { filter, full_schema, @@ -232,10 +232,10 @@ mod tests { use super::*; use datafusion::arrow::array::{Int32Array, RecordBatch}; use datafusion::arrow::datatypes::{DataType, Field}; + use datafusion::logical_expr::Operator; use datafusion::parquet::arrow::arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}; use datafusion::parquet::arrow::ArrowWriter; use datafusion::physical_expr::expressions::{BinaryExpr, Column as PhysColumn, Literal}; - use datafusion::logical_expr::Operator; use tempfile::NamedTempFile; // Schema drift: the table schema orders columns differently from the segment's own @@ -280,7 +280,10 @@ mod tests { let zero: Arc = Arc::new(Literal::new(ScalarValue::Int32(Some(0)))); let expr: Arc = Arc::new(BinaryExpr::new(sev, Operator::GtEq, zero)); let predicate = Arc::new(PruningPredicate::try_new(expr, table_schema.clone()).unwrap()); - let ctx = RgPruningContext { predicate, schema: table_schema }; + let ctx = RgPruningContext { + predicate, + schema: table_schema, + }; assert!( !ctx.rg_provably_excluded(&md, 0), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter_probe.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter_probe.rs index c76459ff3ea9f..969591d289573 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter_probe.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/dynamic_filter_probe.rs @@ -27,6 +27,7 @@ use datafusion::common::tree_node::{TreeNode, TreeNodeRecursion}; use datafusion::common::Result; use datafusion::execution::{SendableRecordBatchStream, TaskContext}; use datafusion::physical_expr::expressions::{col, DynamicFilterPhysicalExpr}; +use datafusion::physical_expr::PhysicalExpr; use datafusion::physical_expr::{EquivalenceProperties, LexOrdering, PhysicalSortExpr}; use datafusion::physical_optimizer::filter_pushdown::FilterPushdown; use datafusion::physical_optimizer::PhysicalOptimizerRule; @@ -36,9 +37,8 @@ use datafusion::physical_plan::filter_pushdown::{ }; use datafusion::physical_plan::sorts::sort::SortExec; use datafusion::physical_plan::{ - DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties, Partitioning, + DisplayAs, DisplayFormatType, ExecutionPlan, Partitioning, PlanProperties, }; -use datafusion::physical_expr::PhysicalExpr; /// What a leaf observed in `handle_child_pushdown_result`. Shared out-of-band /// (the optimizer clones/rebuilds nodes, so we can't read it back off the plan). @@ -68,7 +68,11 @@ impl RecordingLeaf { EmissionType::Incremental, Boundedness::Bounded, )); - Self { schema, props, observed } + Self { + schema, + props, + observed, + } } } @@ -137,7 +141,9 @@ impl ExecutionPlan for RecordingLeaf { obs.saw_dynamic |= is_dynamic; statuses.push(PushedDown::Yes); } - Ok(FilterPushdownPropagation::with_parent_pushdown_result(statuses)) + Ok(FilterPushdownPropagation::with_parent_pushdown_result( + statuses, + )) } } @@ -189,7 +195,11 @@ fn dynamic_filter_reaches_leaf_under_topk() { // `ts > ` value materializes only at runtime via snapshot()). // This is *why* acceptance keys on the referenced columns, not the printed // value: we must downcast + walk the children to find the sort column. - assert_eq!(obs.arrived.len(), 1, "expected exactly the TopK self-filter"); + assert_eq!( + obs.arrived.len(), + 1, + "expected exactly the TopK self-filter" + ); assert!( obs.arrived[0].contains("DynamicFilter"), "arrived filter should be the dynamic placeholder; got {:?}", diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs index 2fcf32e0beaba..471d2d8790012 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/bitmap_tree.rs @@ -212,7 +212,8 @@ fn prefetch_node( match node { ResolvedNode::And(children) => { let mut indices: Vec = (0..children.len()).collect(); - indices.sort_by_key(|&i| subtree_cost(&children[i], ctx, page_pruner, pruning_predicates)); + indices + .sort_by_key(|&i| subtree_cost(&children[i], ctx, page_pruner, pruning_predicates)); let mut result_bitmap: Option = None; let mut ranges: Option> = ctx.collector_call_ranges.clone(); @@ -284,7 +285,8 @@ fn prefetch_node( let mut indices: Vec = (0..children.len()).collect(); // sort the children by cost to prune children better - indices.sort_by_key(|&i| subtree_cost(&children[i], ctx, page_pruner, pruning_predicates)); + indices + .sort_by_key(|&i| subtree_cost(&children[i], ctx, page_pruner, pruning_predicates)); let total_docs = (ctx.max_doc - ctx.min_doc) as u64; let mut result_bitmap = RoaringBitmap::new(); @@ -574,14 +576,12 @@ fn ranges_from_bitmap(bm: &RoaringBitmap, ctx: &RgEvalContext) -> Vec<(i32, i32) use super::CollectorCallStrategy; match ctx.collector_strategy { CollectorCallStrategy::FullRange => vec![(ctx.min_doc, ctx.max_doc)], - CollectorCallStrategy::TightenOuterBounds => { - match (bm.min(), bm.max()) { - (Some(lo), Some(hi)) => { - vec![(ctx.min_doc + lo as i32, ctx.min_doc + hi as i32 + 1)] - } - _ => vec![(ctx.min_doc, ctx.max_doc)], + CollectorCallStrategy::TightenOuterBounds => match (bm.min(), bm.max()) { + (Some(lo), Some(hi)) => { + vec![(ctx.min_doc + lo as i32, ctx.min_doc + hi as i32 + 1)] } - } + _ => vec![(ctx.min_doc, ctx.max_doc)], + }, CollectorCallStrategy::PageRangeSplit => { // Extract contiguous runs of set bits as absolute doc ranges. let mut ranges = Vec::new(); @@ -1218,7 +1218,16 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); assert_eq!(result.per_leaf.len(), 2); @@ -1232,7 +1241,16 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); assert_eq!(result.candidates, bm(&[1, 2, 3])); } @@ -1245,7 +1263,16 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); // Universe is [0, 16). Minus {0,1,2} = {3..15} let expected: RoaringBitmap = (3u32..16).collect(); @@ -1260,7 +1287,16 @@ mod tests { }; let pruner = empty_pruner(); let state = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])); @@ -1520,7 +1556,16 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1560,7 +1605,16 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); // OR contributes {5} from standalone_leaf → non-empty candidates. assert!(!result.candidates.is_empty()); @@ -1598,7 +1652,16 @@ mod tests { let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); // NOT inverts empty AND → universe. assert_eq!(result.candidates.len(), 16); @@ -1630,7 +1693,8 @@ mod tests { ctx.cost_predicate * COST_SCALE ); assert_eq!( - subtree_cost(&collector_leaf(0), &ctx, &pruner, &pp), ctx.cost_collector * COST_SCALE + subtree_cost(&collector_leaf(0), &ctx, &pruner, &pp), + ctx.cost_collector * COST_SCALE ); } @@ -1641,7 +1705,8 @@ mod tests { let pp = HashMap::new(); let wrapped = ResolvedNode::Not(Box::new(test_predicate_node())); assert_eq!( - subtree_cost(&wrapped, &ctx, &pruner, &pp), ctx.cost_predicate * COST_SCALE + subtree_cost(&wrapped, &ctx, &pruner, &pp), + ctx.cost_predicate * COST_SCALE ); } @@ -1673,7 +1738,8 @@ mod tests { let pruner = empty_pruner(); let pp = HashMap::new(); assert!( - subtree_cost(&nested, &ctx, &pruner, &pp) < subtree_cost(&single_collector, &ctx, &pruner, &pp), + subtree_cost(&nested, &ctx, &pruner, &pp) + < subtree_cost(&single_collector, &ctx, &pruner, &pp), ); } @@ -1684,7 +1750,10 @@ mod tests { let ctx = test_ctx(); let pruner = empty_pruner(); let pp = HashMap::new(); - assert!(subtree_cost(&nested, &ctx, &pruner, &pp) > subtree_cost(&single_collector, &ctx, &pruner, &pp)); + assert!( + subtree_cost(&nested, &ctx, &pruner, &pp) + > subtree_cost(&single_collector, &ctx, &pruner, &pp) + ); } // ── intersect_range_lists unit tests ──────────────────────────── @@ -1771,10 +1840,10 @@ mod tests { let mut ctx = test_ctx(); ctx.collector_strategy = super::super::CollectorCallStrategy::PageRangeSplit; let mut bm = RoaringBitmap::new(); - bm.insert_range(2..5); // bits 2,3,4 + bm.insert_range(2..5); // bits 2,3,4 bm.insert_range(8..11); // bits 8,9,10 - bm.insert(14); // bit 14 - // Three contiguous runs → three ranges + bm.insert(14); // bit 14 + // Three contiguous runs → three ranges assert_eq!( ranges_from_bitmap(&bm, &ctx), vec![(2, 5), (8, 11), (14, 15)] @@ -1798,9 +1867,7 @@ mod tests { } } - fn prune_tree_and( - children: Vec, - ) -> StatsPruneTree { + fn prune_tree_and(children: Vec) -> StatsPruneTree { let mut rg_can_match = vec![true; children[0].rg_can_match.len()]; for c in &children { for (r, v) in rg_can_match.iter_mut().zip(c.rg_can_match.iter()) { @@ -1813,9 +1880,7 @@ mod tests { } } - fn prune_tree_or( - children: Vec, - ) -> StatsPruneTree { + fn prune_tree_or(children: Vec) -> StatsPruneTree { let mut rg_can_match = vec![false; children[0].rg_can_match.len()]; for c in &children { for (r, v) in rg_can_match.iter_mut().zip(c.rg_can_match.iter()) { @@ -1840,7 +1905,16 @@ mod tests { prune_tree_leaf(vec![true]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1857,7 +1931,16 @@ mod tests { prune_tree_leaf(vec![true]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); } @@ -1874,7 +1957,16 @@ mod tests { prune_tree_leaf(vec![false]), ]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1898,7 +1990,16 @@ mod tests { ]); let spt = prune_tree_and(vec![or_spt, prune_tree_leaf(vec![true])]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); // collector2 (dfs=0) → {3,4,5}; OR-child1 (dfs=2) → {3,4,5,6}; OR = {3,4,5,6} // AND = {3,4,5} ∩ {3,4,5,6} = {3,4,5} @@ -1921,7 +2022,16 @@ mod tests { ]); let spt = prune_tree_and(vec![or_spt, prune_tree_leaf(vec![true])]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); assert!(result.candidates.is_empty()); } @@ -1934,7 +2044,16 @@ mod tests { }; let pruner = empty_pruner(); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, None, &HashMap::new()) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + None, + &HashMap::new(), + ) .unwrap(); assert_eq!(result.candidates, bm(&[3, 4])); } @@ -1960,7 +2079,16 @@ mod tests { let mut ctx = test_ctx(); ctx.rg_idx = 5; let result = BitmapTreeEvaluator - .prefetch(&tree, &ctx, &leaves, &pruner, &HashMap::new(), None, Some(&spt), &rg_map) + .prefetch( + &tree, + &ctx, + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &rg_map, + ) .unwrap(); // Not pruned — both collectors contribute. assert_eq!(result.candidates, bm(&[2, 3])); @@ -1986,7 +2114,16 @@ mod tests { let mut ctx = test_ctx(); ctx.rg_idx = 3; let result = BitmapTreeEvaluator - .prefetch(&tree, &ctx, &leaves, &pruner, &HashMap::new(), None, Some(&spt), &rg_map) + .prefetch( + &tree, + &ctx, + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &rg_map, + ) .unwrap(); assert!(result.candidates.is_empty()); } @@ -2011,8 +2148,8 @@ mod tests { /// entries since coll2 survives → candidates non-empty → refinement runs. #[test] fn stats_prune_under_or_materialises_empty_bitmaps_for_collectors() { - use datafusion::physical_expr::expressions::Literal; use datafusion::common::ScalarValue; + use datafusion::physical_expr::expressions::Literal; let always_true_expr: Arc = Arc::new(Literal::new(ScalarValue::Boolean(Some(true)))); @@ -2033,15 +2170,25 @@ mod tests { let pruner = empty_pruner(); // Stats: AND subtree = false (Predicate child stats=false), coll2 = true let and_spt = prune_tree_and(vec![ - prune_tree_leaf(vec![false]), // Predicate - prune_tree_or(vec![ // OR(coll0, coll1) + prune_tree_leaf(vec![false]), // Predicate + prune_tree_or(vec![ + // OR(coll0, coll1) prune_tree_leaf(vec![true]), prune_tree_leaf(vec![true]), ]), ]); let spt = prune_tree_or(vec![and_spt, prune_tree_leaf(vec![true])]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); // AND subtree pruned → empty; coll2 → {5,6,7}; OR = {5,6,7} assert_eq!(result.candidates, bm(&[5, 6, 7])); @@ -2055,10 +2202,19 @@ mod tests { result.per_leaf.len() ); // coll2 (dfs=0) gets real bitmap - assert!(!result.per_leaf[0].1.is_empty(), "coll2 should have non-empty bitmap"); + assert!( + !result.per_leaf[0].1.is_empty(), + "coll2 should have non-empty bitmap" + ); // coll0 (dfs=2) and coll1 (dfs=3) get empty bitmaps from pruned subtree - assert!(result.per_leaf[1].1.is_empty(), "pruned coll0 should have empty bitmap"); - assert!(result.per_leaf[2].1.is_empty(), "pruned coll1 should have empty bitmap"); + assert!( + result.per_leaf[1].1.is_empty(), + "pruned coll0 should have empty bitmap" + ); + assert!( + result.per_leaf[2].1.is_empty(), + "pruned coll1 should have empty bitmap" + ); } /// Same scenario but deeper — mirrors a query like: @@ -2077,8 +2233,8 @@ mod tests { /// coll0 and coll1 must still get empty per_leaf entries. #[test] fn stats_prune_deep_or_under_and_materialises_all_collector_bitmaps() { - use datafusion::physical_expr::expressions::Literal; use datafusion::common::ScalarValue; + use datafusion::physical_expr::expressions::Literal; let pred_expr: Arc = Arc::new(Literal::new(ScalarValue::Boolean(Some(true)))); @@ -2097,14 +2253,20 @@ mod tests { // Cost sort at OR: coll2(10) before AND(Pred+OR=1+20=21) // DFS: coll3=0, coll2=1, Predicate=2, coll0=3, coll1=4 let leaves = FixedLeafBitmaps { - bitmaps: vec![bm(&[5, 6, 7, 8]), bm(&[6, 7, 8]), bm(&[99]), bm(&[99]), bm(&[99])], + bitmaps: vec![ + bm(&[5, 6, 7, 8]), + bm(&[6, 7, 8]), + bm(&[99]), + bm(&[99]), + bm(&[99]), + ], }; let pruner = empty_pruner(); // Stats: outer AND[coll3=true, OR=true] // OR[inner AND=false (pruned), coll2=true] // inner AND[Predicate=false, OR(coll0=true, coll1=true)] let inner_and_spt = prune_tree_and(vec![ - prune_tree_leaf(vec![false]), // Predicate stats=false + prune_tree_leaf(vec![false]), // Predicate stats=false prune_tree_or(vec![ prune_tree_leaf(vec![true]), prune_tree_leaf(vec![true]), @@ -2113,7 +2275,16 @@ mod tests { let or_spt = prune_tree_or(vec![inner_and_spt, prune_tree_leaf(vec![true])]); let spt = prune_tree_and(vec![prune_tree_leaf(vec![true]), or_spt]); let result = BitmapTreeEvaluator - .prefetch(&tree, &test_ctx(), &leaves, &pruner, &HashMap::new(), None, Some(&spt), &HashMap::from([(0, 0)])) + .prefetch( + &tree, + &test_ctx(), + &leaves, + &pruner, + &HashMap::new(), + None, + Some(&spt), + &HashMap::from([(0, 0)]), + ) .unwrap(); // coll3={5,6,7,8}; OR: inner AND pruned→empty, coll2={6,7,8}; OR={6,7,8} // Final AND = {5,6,7,8} ∩ {6,7,8} = {6,7,8} @@ -2127,10 +2298,22 @@ mod tests { result.per_leaf.len() ); // coll3 (dfs=0) and coll2 (dfs=1) are real - assert!(!result.per_leaf[0].1.is_empty(), "coll3 should have non-empty bitmap"); - assert!(!result.per_leaf[1].1.is_empty(), "coll2 should have non-empty bitmap"); + assert!( + !result.per_leaf[0].1.is_empty(), + "coll3 should have non-empty bitmap" + ); + assert!( + !result.per_leaf[1].1.is_empty(), + "coll2 should have non-empty bitmap" + ); // coll0 (dfs=3) and coll1 (dfs=4) are empty from pruned subtree - assert!(result.per_leaf[2].1.is_empty(), "pruned coll0 should have empty bitmap"); - assert!(result.per_leaf[3].1.is_empty(), "pruned coll1 should have empty bitmap"); + assert!( + result.per_leaf[2].1.is_empty(), + "pruned coll0 should have empty bitmap" + ); + assert!( + result.per_leaf[3].1.is_empty(), + "pruned coll1 should have empty bitmap" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/eval_helpers.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/eval_helpers.rs index 91ea43e77cba2..92a1940464ed3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/eval_helpers.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/eval_helpers.rs @@ -111,8 +111,7 @@ pub fn remap_expr_to_batch( use datafusion::common::tree_node::Transformed; if let Some(col) = node.downcast_ref::() { if let Ok(idx) = batch_schema.index_of(col.name()) { - let new_col: Arc = - Arc::new(Column::new(col.name(), idx)); + let new_col: Arc = Arc::new(Column::new(col.name(), idx)); return Ok(Transformed::yes(new_col)); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs index fe12b2ecf9d98..420cf71fa0d67 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/predicate_evaluator.rs @@ -22,7 +22,9 @@ use datafusion::arrow::record_batch::RecordBatch; use datafusion::physical_optimizer::pruning::PruningPredicate; use roaring::RoaringBitmap; -use super::eval_helpers::{compute_page_ranges, evaluate_residual, universe_bitmap_from_page_ranges}; +use super::eval_helpers::{ + compute_page_ranges, evaluate_residual, universe_bitmap_from_page_ranges, +}; use super::{PrefetchedRg, RowGroupBitsetSource}; use crate::indexed_table::page_pruner::{PagePruneMetrics, PagePruner, StatsPruneTree}; use crate::indexed_table::row_selection::{bitmap_to_packed_bits, PositionMap}; @@ -159,8 +161,19 @@ mod tests { rg_can_match: vec![false], children: vec![], }; - let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); - let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; + let eval = PredicateOnlyEvaluator::new( + pruner, + None, + None, + None, + Some(Arc::new(spt)), + HashMap::from([(0, 0)]), + ); + let rg = RowGroupInfo { + index: 0, + first_row: 0, + num_rows: 8, + }; assert!(eval.prefetch_rg(&rg, 0, 8).unwrap().is_none()); } @@ -171,9 +184,23 @@ mod tests { rg_can_match: vec![true], children: vec![], }; - let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); - let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; - let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have candidates"); + let eval = PredicateOnlyEvaluator::new( + pruner, + None, + None, + None, + Some(Arc::new(spt)), + HashMap::from([(0, 0)]), + ); + let rg = RowGroupInfo { + index: 0, + first_row: 0, + num_rows: 8, + }; + let prefetched = eval + .prefetch_rg(&rg, 0, 8) + .unwrap() + .expect("should have candidates"); assert_eq!(prefetched.candidates.len(), 8); } @@ -181,8 +208,15 @@ mod tests { fn stats_prune_tree_none_does_not_prune() { let pruner = minimal_page_pruner(); let eval = PredicateOnlyEvaluator::new(pruner, None, None, None, None, HashMap::new()); - let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8 }; - let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have candidates"); + let rg = RowGroupInfo { + index: 0, + first_row: 0, + num_rows: 8, + }; + let prefetched = eval + .prefetch_rg(&rg, 0, 8) + .unwrap() + .expect("should have candidates"); assert_eq!(prefetched.candidates.len(), 8); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs index 006edb8034287..62e908517a2c8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/eval/single_collector.rs @@ -89,7 +89,13 @@ impl DelegatedBackendCollectorFactory for FfmDelegatedBackendCollectorFactory { doc_min: i32, doc_max: i32, ) -> Result, String> { - let collector = FfmSegmentCollector::create(context_id, provider_key, writer_generation, doc_min, doc_max)?; + let collector = FfmSegmentCollector::create( + context_id, + provider_key, + writer_generation, + doc_min, + doc_max, + )?; Ok(Arc::new(collector) as Arc) } } @@ -311,16 +317,17 @@ impl RowGroupBitsetSource for SingleCollectorEvaluator { // the RuntimeManager to drive the async object-store read. if let (Some(bloom), Some(pp)) = (&self.bloom_config, &self.pruning_predicate) { let _timer = bloom.bloom_filter_eval_time.as_ref().map(|t| t.timer()); - let pruned = bloom.io_handle.block_on( - crate::indexed_table::bloom_pruner::bloom_prune_rg( - &*bloom.store, - &bloom.object_path, - &bloom.metadata, - &bloom.arrow_schema, - rg.index, - pp.as_ref(), - ) - ); + let pruned = + bloom + .io_handle + .block_on(crate::indexed_table::bloom_pruner::bloom_prune_rg( + &*bloom.store, + &bloom.object_path, + &bloom.metadata, + &bloom.arrow_schema, + rg.index, + pp.as_ref(), + )); if pruned { if let Some(ref c) = bloom.rg_bloom_pruned { c.add(1); @@ -446,7 +453,8 @@ impl RowGroupBitsetSource for SingleCollectorEvaluator { let mut just_initialized = false; let provider = lock.get_or_init(|| { just_initialized = true; - create_provider(context_id, annotation_id).expect("create_provider FFM upcall failed") + create_provider(context_id, annotation_id) + .expect("create_provider FFM upcall failed") }); if just_initialized { log_debug!( @@ -710,7 +718,22 @@ mod tests { docs: vec![0, 3, 7], }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); let rg = RowGroupInfo { index: 0, @@ -726,7 +749,22 @@ mod tests { fn on_batch_mask_returns_none_for_path_b() { let collector = Arc::new(StubCollector { docs: vec![0] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])); let batch = datafusion::arrow::record_batch::RecordBatch::try_new( schema, @@ -754,7 +792,22 @@ mod tests { // (it's the only post-decode filter we have on this path). let collector = Arc::new(StubCollector { docs: vec![0] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); assert!(eval.needs_row_mask()); } @@ -762,7 +815,22 @@ mod tests { fn empty_match_returns_none() { let collector = Arc::new(StubCollector { docs: vec![] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); let rg = RowGroupInfo { index: 0, first_row: 0, @@ -782,7 +850,22 @@ mod tests { docs: vec![0, 3, 7], }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); let rg = RowGroupInfo { index: 0, @@ -804,7 +887,22 @@ mod tests { rg_can_match: vec![false], children: vec![], }; - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + Some(Arc::new(spt)), + HashMap::from([(0, 0)]), + ); let rg = RowGroupInfo { index: 0, first_row: 0, @@ -823,30 +921,65 @@ mod tests { rg_can_match: vec![true], children: vec![], }; - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, Some(Arc::new(spt)), HashMap::from([(0, 0)])); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + Some(Arc::new(spt)), + HashMap::from([(0, 0)]), + ); let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8, }; - let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have matches"); + let prefetched = eval + .prefetch_rg(&rg, 0, 8) + .unwrap() + .expect("should have matches"); let got: Vec = prefetched.candidates.iter().collect(); assert_eq!(got, vec![0u32, 3, 7]); } #[test] fn stats_prune_tree_none_does_not_prune() { - let collector = Arc::new(StubCollector { - docs: vec![1, 5], - }) as Arc; + let collector = + Arc::new(StubCollector { docs: vec![1, 5] }) as Arc; let pruner = minimal_page_pruner(); - let eval = SingleCollectorEvaluator::new(Some(collector), pruner, None, None, None, None, CollectorCallStrategy::FullRange, Arc::new(HashMap::new()), 0, Arc::new(FfmDelegatedBackendCollectorFactory), 0, None, None, HashMap::new()); + let eval = SingleCollectorEvaluator::new( + Some(collector), + pruner, + None, + None, + None, + None, + CollectorCallStrategy::FullRange, + Arc::new(HashMap::new()), + 0, + Arc::new(FfmDelegatedBackendCollectorFactory), + 0, + None, + None, + HashMap::new(), + ); let rg = RowGroupInfo { index: 0, first_row: 0, num_rows: 8, }; - let prefetched = eval.prefetch_rg(&rg, 0, 8).unwrap().expect("should have matches"); + let prefetched = eval + .prefetch_rg(&rg, 0, 8) + .unwrap() + .expect("should have matches"); let got: Vec = prefetched.candidates.iter().collect(); assert_eq!(got, vec![1u32, 5]); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/ffm_callbacks.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/ffm_callbacks.rs index 7810b35054745..d661c593f60be 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/ffm_callbacks.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/ffm_callbacks.rs @@ -161,9 +161,7 @@ pub fn create_provider(context_id: i64, annotation_id: i32) -> Result {}", - context_id, - annotation_id, - key + context_id, annotation_id, key )); } Ok(ProviderHandle { context_id, key }) @@ -191,7 +189,15 @@ impl FfmSegmentCollector { doc_max: i32, ) -> Result { let create = load_create_collector()?; - let key = unsafe { create(context_id, provider_key, writer_generation, doc_min, doc_max) }; + let key = unsafe { + create( + context_id, + provider_key, + writer_generation, + doc_min, + doc_max, + ) + }; if key < 0 { return Err(format!( "createCollector(context_id={}, provider={}, writer_generation={}) failed: {}", diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/metrics.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/metrics.rs index 72834911d7057..a5aed1626fbc1 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/metrics.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/metrics.rs @@ -228,7 +228,8 @@ impl PartitionMetrics { row_groups_processed: counter("row_groups_processed"), row_groups_skipped: counter("row_groups_skipped"), rg_bloom_pruned: counter("rg_bloom_pruned"), - bloom_filter_eval_time: MetricBuilder::new(metrics).subset_time("bloom_filter_eval_time", partition), + bloom_filter_eval_time: MetricBuilder::new(metrics) + .subset_time("bloom_filter_eval_time", partition), pages_pruned: counter("pages_pruned"), pages_total: counter("pages_total"), page_pruning_unavailable: counter("page_pruning_unavailable"), @@ -253,8 +254,7 @@ impl PartitionMetrics { .subset_time("projection_fixup_time", partition), parquet_poll_time: MetricBuilder::new(metrics) .subset_time("parquet_poll_time", partition), - inter_poll_gap: MetricBuilder::new(metrics) - .subset_time("inter_poll_gap", partition), + inter_poll_gap: MetricBuilder::new(metrics).subset_time("inter_poll_gap", partition), poll_count: counter("poll_count"), init_prefetch_time: MetricBuilder::new(metrics) .subset_time("init_prefetch_time", partition), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/mod.rs index a2c5c5eab6ade..94777ad0bfd19 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/mod.rs @@ -58,13 +58,13 @@ pub mod bloom_pruner; pub mod bool_tree; pub mod dynamic_filter; pub mod eval; -pub mod row_id_injection; pub mod ffm_callbacks; pub mod index; pub mod metrics; pub mod page_pruner; pub mod parquet_bridge; pub mod partitioning; +pub mod row_id_injection; pub mod row_selection; pub mod segment_info; pub mod stream; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs index 47cb30cf62f72..19c5567d7b6f2 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/page_pruner.rs @@ -49,8 +49,8 @@ use datafusion::parquet::arrow::arrow_reader::{RowSelection, RowSelector}; use datafusion::parquet::file::metadata::ParquetMetaData; #[cfg(test)] use datafusion::physical_expr::expressions::{BinaryExpr, Column as PhysColumn, Literal}; -use datafusion::physical_expr::PhysicalExpr; use datafusion::physical_expr::utils::collect_columns; +use datafusion::physical_expr::PhysicalExpr; use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningStatistics}; /// Per-row-group page pruner. Owns schema + metadata references; the @@ -84,8 +84,7 @@ impl PagePruner { rg_idx: usize, metrics: Option<&PagePruneMetrics>, ) -> Option { - let columns = - collect_columns(pruning_predicate.orig_expr()); + let columns = collect_columns(pruning_predicate.orig_expr()); if columns.is_empty() { return None; } @@ -282,12 +281,19 @@ pub fn build_pruning_predicate( let pruning_predicate = match PruningPredicate::try_new(Arc::clone(expr), schema) { Ok(pp) => pp, Err(e) => { - native_bridge_common::log_debug!("PruningPredicate::try_new failed for {:?}: {}", expr, e); + native_bridge_common::log_debug!( + "PruningPredicate::try_new failed for {:?}: {}", + expr, + e + ); return None; } }; if pruning_predicate.always_true() { - native_bridge_common::log_debug!("PruningPredicate collapsed to always_true for {:?}", expr); + native_bridge_common::log_debug!( + "PruningPredicate collapsed to always_true for {:?}", + expr + ); return None; } Some(Arc::new(pruning_predicate)) @@ -600,16 +606,22 @@ struct RgLevelStats { impl PruningStatistics for RgLevelStats { fn min_values(&self, column: &Column) -> Option { - self.col_stats.get(column.name()).map(|(m, _, _)| Arc::clone(m)) + self.col_stats + .get(column.name()) + .map(|(m, _, _)| Arc::clone(m)) } fn max_values(&self, column: &Column) -> Option { - self.col_stats.get(column.name()).map(|(_, m, _)| Arc::clone(m)) + self.col_stats + .get(column.name()) + .map(|(_, m, _)| Arc::clone(m)) } fn num_containers(&self) -> usize { self.num_rgs } fn null_counts(&self, column: &Column) -> Option { - self.col_stats.get(column.name()).and_then(|(_, _, n)| n.clone()) + self.col_stats + .get(column.name()) + .and_then(|(_, _, n)| n.clone()) } fn row_counts(&self) -> Option { let arr = Int64Array::from_iter_values(self.row_counts.iter().copied()); @@ -680,7 +692,9 @@ impl StatsPruneTree { BoolNode::And(children) => { let annotated_children: Vec<_> = children .iter() - .map(|c| Self::build_from_bool_node(c, leaf_predicates, metadata, schema, rg_indices)) + .map(|c| { + Self::build_from_bool_node(c, leaf_predicates, metadata, schema, rg_indices) + }) .collect(); let mut rg_can_match = vec![true; num]; for child in &annotated_children { @@ -688,12 +702,17 @@ impl StatsPruneTree { *r &= c; } } - Self { rg_can_match, children: annotated_children } + Self { + rg_can_match, + children: annotated_children, + } } BoolNode::Or(children) => { let annotated_children: Vec<_> = children .iter() - .map(|c| Self::build_from_bool_node(c, leaf_predicates, metadata, schema, rg_indices)) + .map(|c| { + Self::build_from_bool_node(c, leaf_predicates, metadata, schema, rg_indices) + }) .collect(); let mut rg_can_match = vec![false; num]; for child in &annotated_children { @@ -701,14 +720,26 @@ impl StatsPruneTree { *r |= c; } } - Self { rg_can_match, children: annotated_children } + Self { + rg_can_match, + children: annotated_children, + } } BoolNode::Not(child) => { - let annotated_child = Self::build_from_bool_node(child, leaf_predicates, metadata, schema, rg_indices); + let annotated_child = Self::build_from_bool_node( + child, + leaf_predicates, + metadata, + schema, + rg_indices, + ); // NOT is conservatively all-true: negating stats-based pruning is unsound // because stats give a superset, and inverting a superset is a subset. native_bridge_common::log_debug!("StatsPruneTree: NOT node → all-true (conservative, cannot prune through negation)"); - Self { rg_can_match: vec![true; num], children: vec![annotated_child] } + Self { + rg_can_match: vec![true; num], + children: vec![annotated_child], + } } BoolNode::Predicate(expr) => { let key = Arc::as_ptr(expr) as *const () as usize; @@ -716,7 +747,10 @@ impl StatsPruneTree { Some(pp) => eval_leaf(pp, metadata, schema, rg_indices), None => vec![true; num], }; - Self { rg_can_match, children: vec![] } + Self { + rg_can_match, + children: vec![], + } } BoolNode::DelegationPossible { original_expr, .. } => { let key = Arc::as_ptr(original_expr) as *const () as usize; @@ -724,12 +758,20 @@ impl StatsPruneTree { Some(pp) => eval_leaf(pp, metadata, schema, rg_indices), None => vec![true; num], }; - Self { rg_can_match, children: vec![] } + Self { + rg_can_match, + children: vec![], + } } BoolNode::Collector { .. } => { // Collectors have no column stats — always all-true. - native_bridge_common::log_debug!("StatsPruneTree: Collector node → all-true (no column stats available)"); - Self { rg_can_match: vec![true; num], children: vec![] } + native_bridge_common::log_debug!( + "StatsPruneTree: Collector node → all-true (no column stats available)" + ); + Self { + rg_can_match: vec![true; num], + children: vec![], + } } } } @@ -1459,33 +1501,41 @@ mod tests { use crate::indexed_table::bool_tree::BoolNode; // 5 RGs: price [0..9], [10..19], [20..29], [30..39], [40..49] - let schema = Arc::new(Schema::new(vec![Field::new("price", DataType::Int32, false)])); + let schema = Arc::new(Schema::new(vec![Field::new( + "price", + DataType::Int32, + false, + )])); let tmp = NamedTempFile::new().unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(10) .set_statistics_enabled(EnabledStatistics::Chunk) .build(); - let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), schema.clone(), Some(props)).unwrap(); + let mut w = + ArrowWriter::try_new(tmp.reopen().unwrap(), schema.clone(), Some(props)).unwrap(); for i in 0..5i32 { let vals: Vec = (i * 10..(i + 1) * 10).collect(); - let batch = RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vals))]).unwrap(); + let batch = + RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vals))]) + .unwrap(); w.write(&batch).unwrap(); } w.close().unwrap(); - let meta = ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()).unwrap(); + let meta = + ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()).unwrap(); let arc_meta = meta.metadata().clone(); assert_eq!(arc_meta.num_row_groups(), 5); let rg_indices: Vec = (0..5).collect(); // Leaf predicates and their expected rg_can_match bitsets: - let p1 = pred_leaf("price", Operator::Lt, 30, &schema); // [11100] + let p1 = pred_leaf("price", Operator::Lt, 30, &schema); // [11100] let p2 = pred_leaf("price", Operator::GtEq, 10, &schema); // [01111] - let p3 = pred_leaf("price", Operator::Gt, 45, &schema); // [00001] - let p4 = pred_leaf("price", Operator::Lt, 25, &schema); // [11100] + let p3 = pred_leaf("price", Operator::Gt, 45, &schema); // [00001] + let p4 = pred_leaf("price", Operator::Lt, 25, &schema); // [11100] let p5 = pred_leaf("price", Operator::GtEq, 20, &schema); // [00111] - let p6 = pred_leaf("price", Operator::Lt, 40, &schema); // [11110] - let p7 = pred_leaf("price", Operator::Gt, 30, &schema); // [00011] - let p8 = pred_leaf("price", Operator::Lt, 15, &schema); // [11000] + let p6 = pred_leaf("price", Operator::Lt, 40, &schema); // [11110] + let p7 = pred_leaf("price", Operator::Gt, 30, &schema); // [00011] + let p8 = pred_leaf("price", Operator::Lt, 15, &schema); // [11000] // Tree: AND(OR(AND(p1,p2), p3), OR(AND(p4,p5), Collector, p6), AND(p7, NOT(p8))) let collector = BoolNode::Collector { annotation_id: 0 }; @@ -1499,10 +1549,7 @@ mod tests { collector, p6.clone(), ]), - BoolNode::And(vec![ - p7.clone(), - BoolNode::Not(Box::new(p8.clone())), - ]), + BoolNode::And(vec![p7.clone(), BoolNode::Not(Box::new(p8.clone()))]), ]); // Build PruningPredicates for all df leaves. @@ -1516,7 +1563,11 @@ mod tests { } let spt = StatsPruneTree::build_from_bool_node( - &tree, &leaf_predicates, &arc_meta, &schema, &rg_indices, + &tree, + &leaf_predicates, + &arc_meta, + &schema, + &rg_indices, ); // Verify bottom-up: @@ -1533,29 +1584,59 @@ mod tests { assert_eq!(spt.children.len(), 3); // Child 0: OR₁ - assert_eq!(spt.children[0].rg_can_match, vec![false, true, true, false, true]); + assert_eq!( + spt.children[0].rg_can_match, + vec![false, true, true, false, true] + ); assert_eq!(spt.children[0].children.len(), 2); // OR₁/AND - assert_eq!(spt.children[0].children[0].rg_can_match, vec![false, true, true, false, false]); + assert_eq!( + spt.children[0].children[0].rg_can_match, + vec![false, true, true, false, false] + ); // OR₁/AND/p1 - assert_eq!(spt.children[0].children[0].children[0].rg_can_match, vec![true, true, true, false, false]); + assert_eq!( + spt.children[0].children[0].children[0].rg_can_match, + vec![true, true, true, false, false] + ); // OR₁/AND/p2 - assert_eq!(spt.children[0].children[0].children[1].rg_can_match, vec![false, true, true, true, true]); + assert_eq!( + spt.children[0].children[0].children[1].rg_can_match, + vec![false, true, true, true, true] + ); // OR₁/p3 - assert_eq!(spt.children[0].children[1].rg_can_match, vec![false, false, false, false, true]); + assert_eq!( + spt.children[0].children[1].rg_can_match, + vec![false, false, false, false, true] + ); // Child 1: OR₂ — luc makes it all-true - assert_eq!(spt.children[1].rg_can_match, vec![true, true, true, true, true]); + assert_eq!( + spt.children[1].rg_can_match, + vec![true, true, true, true, true] + ); // Child 2: AND₃ - assert_eq!(spt.children[2].rg_can_match, vec![false, false, false, true, true]); + assert_eq!( + spt.children[2].rg_can_match, + vec![false, false, false, true, true] + ); assert_eq!(spt.children[2].children.len(), 2); // AND₃/p7 - assert_eq!(spt.children[2].children[0].rg_can_match, vec![false, false, false, true, true]); + assert_eq!( + spt.children[2].children[0].rg_can_match, + vec![false, false, false, true, true] + ); // AND₃/NOT → always true - assert_eq!(spt.children[2].children[1].rg_can_match, vec![true, true, true, true, true]); + assert_eq!( + spt.children[2].children[1].rg_can_match, + vec![true, true, true, true, true] + ); // AND₃/NOT/p8 - assert_eq!(spt.children[2].children[1].children[0].rg_can_match, vec![true, true, false, false, false]); + assert_eq!( + spt.children[2].children[1].children[0].rg_can_match, + vec![true, true, false, false, false] + ); } // Schema drift: the table schema orders columns differently from the segment's own @@ -1583,7 +1664,7 @@ mod tests { Arc::new(Int32Array::from(vec![0, 5, 10, 17])), ], ) - .unwrap(); + .unwrap(); let tmp = NamedTempFile::new().unwrap(); let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), file_schema, None).unwrap(); w.write(&batch).unwrap(); @@ -1612,20 +1693,28 @@ mod tests { use crate::indexed_table::bool_tree::BoolNode; // 5 RGs: price [0..9], [10..19], [20..29], [30..39], [40..49] - let schema = Arc::new(Schema::new(vec![Field::new("price", DataType::Int32, false)])); + let schema = Arc::new(Schema::new(vec![Field::new( + "price", + DataType::Int32, + false, + )])); let tmp = NamedTempFile::new().unwrap(); let props = WriterProperties::builder() .set_max_row_group_size(10) .set_statistics_enabled(EnabledStatistics::Chunk) .build(); - let mut w = ArrowWriter::try_new(tmp.reopen().unwrap(), schema.clone(), Some(props)).unwrap(); + let mut w = + ArrowWriter::try_new(tmp.reopen().unwrap(), schema.clone(), Some(props)).unwrap(); for i in 0..5i32 { let vals: Vec = (i * 10..(i + 1) * 10).collect(); - let batch = RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vals))]).unwrap(); + let batch = + RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vals))]) + .unwrap(); w.write(&batch).unwrap(); } w.close().unwrap(); - let meta = ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()).unwrap(); + let meta = + ArrowReaderMetadata::load(&tmp.reopen().unwrap(), ArrowReaderOptions::new()).unwrap(); let arc_meta = meta.metadata().clone(); assert_eq!(arc_meta.num_row_groups(), 5); @@ -1650,7 +1739,11 @@ mod tests { } let spt = StatsPruneTree::build_from_bool_node( - &tree, &leaf_predicates, &arc_meta, &schema, &rg_indices, + &tree, + &leaf_predicates, + &arc_meta, + &schema, + &rg_indices, ); // rg_can_match is 3 elements (one per chunk RG), relative indexing. @@ -1661,8 +1754,11 @@ mod tests { assert_eq!(spt.rg_can_match, vec![false, true, false]); // Verify consumer-side reverse map lookup works correctly: - let rg_index_to_pos: HashMap = rg_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let rg_index_to_pos: HashMap = rg_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); // Absolute RG 3 should map to position 1 → can_match = true let pos = rg_index_to_pos.get(&3).unwrap(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs index a9661276f30d3..957b0d15fa0dc 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs @@ -28,17 +28,17 @@ use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaD use datafusion::datasource::physical_plan::parquet::{ ParquetAccessPlan, ParquetFileMetrics, ParquetFileReaderFactory, RowGroupAccess, }; -use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; -use datafusion::parquet::arrow::async_reader::ParquetObjectReader; -use datafusion::parquet::file::metadata::{PageIndexPolicy, ParquetMetaDataReader}; use datafusion::datasource::physical_plan::ParquetSource; +use datafusion::execution::cache::cache_manager::CachedFileMetadataEntry; use datafusion::execution::cache::cache_manager::FileMetadataCache; use datafusion::execution::object_store::ObjectStoreUrl; use datafusion::execution::SendableRecordBatchStream; use datafusion::parquet::arrow::arrow_reader::{ArrowReaderOptions, RowSelection}; use datafusion::parquet::arrow::async_reader::AsyncFileReader; +use datafusion::parquet::arrow::async_reader::ParquetObjectReader; use datafusion::parquet::arrow::parquet_to_arrow_schema; use datafusion::parquet::file::metadata::ParquetMetaData; +use datafusion::parquet::file::metadata::{PageIndexPolicy, ParquetMetaDataReader}; use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet; use datafusion::physical_plan::ExecutionPlan; use datafusion_datasource::file_scan_config::FileScanConfigBuilder; @@ -283,7 +283,11 @@ impl CachedMetadataReaderFactory { metadata: Arc, io_stats: Arc, ) -> Self { - Self { store, metadata, io_stats } + Self { + store, + metadata, + io_stats, + } } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/partitioning.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/partitioning.rs index d1d6590e53b60..193d9a68dee5f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/partitioning.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/partitioning.rs @@ -226,8 +226,11 @@ pub fn compute_assignments_one_per_segment( segments: &[SegmentFileInfo], layouts: &[SegmentLayout], ) -> Vec { - debug_assert_eq!(segments.len(), layouts.len(), - "segments and layouts must match (one entry per segment)"); + debug_assert_eq!( + segments.len(), + layouts.len(), + "segments and layouts must match (one entry per segment)" + ); if segments.is_empty() { return Vec::new(); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/row_id_injection.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/row_id_injection.rs index 08ff4ebb6f82f..a6348ee652181 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/row_id_injection.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/row_id_injection.rs @@ -63,7 +63,9 @@ pub fn inject_row_ids( ctx.position_map.as_ref(), ctx.base, ); - Arc::new(Int64Array::from_iter_values(ids.into_iter().map(|id| id as i64))) + Arc::new(Int64Array::from_iter_values( + ids.into_iter().map(|id| id as i64), + )) } }; @@ -77,14 +79,17 @@ pub fn inject_row_ids( _ => batch_schema .index_of(field.name()) .map(|col_idx| Arc::clone(output.column(col_idx))) - .unwrap_or_else(|_| datafusion::arrow::array::new_null_array(field.data_type(), num_surviving)), + .unwrap_or_else(|_| { + datafusion::arrow::array::new_null_array(field.data_type(), num_surviving) + }), }) .collect(); RecordBatch::try_new_with_options( schema.clone(), columns, - &datafusion::arrow::record_batch::RecordBatchOptions::new().with_row_count(Some(num_surviving)), + &datafusion::arrow::record_batch::RecordBatchOptions::new() + .with_row_count(Some(num_surviving)), ) .map_err(|e| datafusion::common::DataFusionError::ArrowError(Box::new(e), None)) } @@ -100,29 +105,23 @@ fn compute_row_ids( base: u64, ) -> Vec { match eval_mask { - Some(mask) => { - (0..batch_len) - .filter(|&i| mask.is_valid(i) && mask.value(i)) - .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) - .collect() - } + Some(mask) => (0..batch_len) + .filter(|&i| mask.is_valid(i) && mask.value(i)) + .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) + .collect(), None => match current_mask { - Some(candidate_mask) => { - (0..batch_len) - .filter(|&i| { - let mi = mask_offset_before + i; - mi < candidate_mask.len() - && candidate_mask.is_valid(mi) - && candidate_mask.value(mi) - }) - .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) - .collect() - } - None => { - (0..batch_len) - .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) - .collect() - } + Some(candidate_mask) => (0..batch_len) + .filter(|&i| { + let mi = mask_offset_before + i; + mi < candidate_mask.len() + && candidate_mask.is_valid(mi) + && candidate_mask.value(mi) + }) + .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) + .collect(), + None => (0..batch_len) + .map(|i| position_to_global_id(batch_start_delivered + i, pm, base)) + .collect(), }, } } @@ -135,6 +134,11 @@ fn position_to_global_id(delivered_idx: usize, pm: Option<&PositionMap>, base: u None => delivered_idx, }; let id = base + rg_pos as u64; - debug_assert!(id >= base, "position_to_global_id: underflow base={} rg_pos={}", base, rg_pos); + debug_assert!( + id >= base, + "position_to_global_id: underflow base={} rg_pos={}", + base, + rg_pos + ); id } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs index 5dcc974c09142..b98562c0e6f12 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/segment_info.rs @@ -295,7 +295,9 @@ mod tests { use datafusion::execution::cache::DefaultFilesMetadataCache; use datafusion::execution::context::SessionContext; use datafusion::parquet::arrow::ArrowWriter; - use object_store::{local::LocalFileSystem, path::Path as ObjectPath, ObjectStore, ObjectStoreExt}; + use object_store::{ + local::LocalFileSystem, path::Path as ObjectPath, ObjectStore, ObjectStoreExt, + }; use tempfile::tempdir; /// Mirror of what `CacheManager::try_new` auto-installs when no custom diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs index 8cc398758bd29..791a3ec9db04b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs @@ -33,7 +33,6 @@ use std::pin::Pin; use std::sync::Arc; use std::task::{Context, Poll}; -use native_bridge_common::log_debug; use datafusion::arrow::array::{Array, BooleanArray, UInt64Array}; use datafusion::arrow::compute::filter_record_batch; use datafusion::arrow::datatypes::{DataType, Field, Schema, SchemaRef}; @@ -48,6 +47,7 @@ use datafusion::physical_plan::{ }; use datafusion_common::DataFusionError; use futures::{Future, Stream}; +use native_bridge_common::log_debug; use tokio::task::JoinHandle; use super::eval::{PrefetchedRg, RowGroupBitsetSource}; @@ -66,7 +66,6 @@ pub struct RowGroupInfo { pub num_rows: i64, } - /// Override for the per-RG `min_skip_run` selectivity heuristic. `IndexedStream` /// normally picks `min_skip_run` from candidate selectivity; setting /// `force_strategy` to one of these variants pins the choice node-wide. @@ -190,7 +189,10 @@ impl IndexReader { row_groups: &[RowGroupInfo], rg_idx: usize, doc_range: Option<(i32, i32)>, - prune: Option<(super::dynamic_filter::RgPruningContext, Arc)>, + prune: Option<( + super::dynamic_filter::RgPruningContext, + Arc, + )>, cancellation_token: Option<&tokio_util::sync::CancellationToken>, ) -> std::result::Result { if rg_idx >= row_groups.len() { @@ -224,7 +226,10 @@ impl IndexReader { } match evaluator.prefetch_rg(&rg, min_doc, max_doc)? { None => Ok(PrefetchOutcome::Empty), - Some(prefetched) => Ok(PrefetchOutcome::Fetched(PrefetchedRowGroup { rg, prefetched })), + Some(prefetched) => Ok(PrefetchOutcome::Fetched(PrefetchedRowGroup { + rg, + prefetched, + })), } } @@ -243,7 +248,14 @@ impl IndexReader { }; let token = self.cancellation_token.clone(); let handle = tokio::task::spawn_blocking(move || { - Self::fetch_row_group(&evaluator, &row_groups, rg_idx, doc_range, prune, token.as_ref()) + Self::fetch_row_group( + &evaluator, + &row_groups, + rg_idx, + doc_range, + prune, + token.as_ref(), + ) }); self.pending_prefetch = Some(handle); } @@ -315,12 +327,10 @@ impl IndexReader { .cloned() .or_else(|| payload.downcast_ref::<&str>().map(|s| s.to_string())) .unwrap_or_else(|| "unknown panic".into()); - return Poll::Ready(Err(DataFusionError::Execution( - format!( - "prefetch for row group {} panicked: {}", - self.current_rg_idx, panic_msg - ), - ))); + return Poll::Ready(Err(DataFusionError::Execution(format!( + "prefetch for row group {} panicked: {}", + self.current_rg_idx, panic_msg + )))); } // Task was cancelled (runtime shutting down) — retry once self.start_prefetch(self.current_rg_idx); @@ -461,7 +471,9 @@ impl ExecutionPlan for IndexedExec { self.stream_metrics.prefetch_wait_time.clone(), self.stream_metrics.prefetch_wait_count.clone(), Some(Arc::clone(&self.metadata)), - self.stream_metrics.dynamic_filter_rg_pruned_at_prefetch.clone(), + self.stream_metrics + .dynamic_filter_rg_pruned_at_prefetch + .clone(), self.cancellation_token.clone(), ); Ok(Box::pin(IndexedStream::new( @@ -589,12 +601,9 @@ impl IndexedStream { dynamic_filter: Option>, ) -> Self { let evaluator = Arc::clone(&index_reader.evaluator); - let batch_coalescer = - LimitedBatchCoalescer::new(schema.clone(), target_batch_size, None); - let dynamic_rg_pruner = super::dynamic_filter::DynamicRgPruner::new( - dynamic_filter, - full_schema.clone(), - ); + let batch_coalescer = LimitedBatchCoalescer::new(schema.clone(), target_batch_size, None); + let dynamic_rg_pruner = + super::dynamic_filter::DynamicRgPruner::new(dynamic_filter, full_schema.clone()); Self { schema, full_schema, @@ -901,7 +910,12 @@ impl IndexedStream { // 2. If upstream is done and coalescer has drained, we're done. if self.coalescer_finished && self.batch_coalescer.is_empty() { - log_debug!("[scf-segment-done] file={} row_groups={} elapsed={:?}", self.object_path.filename().unwrap_or("?"), self.index_reader.row_groups.len(), self.stream_start.unwrap().elapsed()); + log_debug!( + "[scf-segment-done] file={} row_groups={} elapsed={:?}", + self.object_path.filename().unwrap_or("?"), + self.index_reader.row_groups.len(), + self.stream_start.unwrap().elapsed() + ); return Poll::Ready(None); } @@ -921,7 +935,12 @@ impl IndexedStream { if self.coalescer_finished { // Unreachable in practice — step 1 already drained or // step 2 already returned. Defensive. - log_debug!("[scf-segment-done] file={} row_groups={} elapsed={:?}", self.object_path.filename().unwrap_or("?"), self.index_reader.row_groups.len(), self.stream_start.unwrap().elapsed()); + log_debug!( + "[scf-segment-done] file={} row_groups={} elapsed={:?}", + self.object_path.filename().unwrap_or("?"), + self.index_reader.row_groups.len(), + self.stream_start.unwrap().elapsed() + ); return Poll::Ready(None); } @@ -1057,7 +1076,8 @@ impl IndexedStream { self.batch_offset = 0; // Decide min_skip_run for this RG (see `pick_min_skip_run`). - let min_skip_run = self.pick_min_skip_run(candidates.len() as usize, rg.num_rows as usize); + let min_skip_run = + self.pick_min_skip_run(candidates.len() as usize, rg.num_rows as usize); // Metrics: track which regime we landed in, using the // same counters as before so `EXPLAIN ANALYZE` output @@ -1287,10 +1307,11 @@ mod tests { match &r { std::task::Poll::Pending => std::task::Poll::Ready(None), std::task::Poll::Ready(v) => std::task::Poll::Ready(Some( - v.as_ref().map(|_| ()).map_err(|e| e.to_string()) + v.as_ref().map(|_| ()).map_err(|e| e.to_string()), )), } - }).await; + }) + .await; if let Some(result) = poll_result { return result; } @@ -1380,7 +1401,11 @@ mod tests { // 8 row groups × 200ms spin each = ~1.6s of work if cancellation is ignored. let row_groups: Vec = (0..8) - .map(|i| RowGroupInfo { index: i, first_row: (i as i64) * 100, num_rows: 100 }) + .map(|i| RowGroupInfo { + index: i, + first_row: (i as i64) * 100, + num_rows: 100, + }) .collect(); let mut reader = IndexReader::new( diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs index 169a3a7d8f008..7d8165cf35011 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/substrait_to_tree.rs @@ -62,7 +62,10 @@ pub fn plan_requests_row_ids(plan: &LogicalPlan) -> bool { Expr::Column(col) => col.name() == crate::ROW_ID_COLUMN_NAME, _ => false, }), - _ => plan.inputs().iter().any(|child| plan_requests_row_ids(child)), + _ => plan + .inputs() + .iter() + .any(|child| plan_requests_row_ids(child)), } } @@ -149,7 +152,9 @@ pub fn expr_to_bool_tree( } else { tree }; - Ok(ExtractionResult { tree: Arc::new(tree) }) + Ok(ExtractionResult { + tree: Arc::new(tree), + }) } fn convert_expr( @@ -238,10 +243,18 @@ fn convert_delegation_possible_function( let unqualified = strip_column_qualifiers(&args[0]); let original_expr = state .create_physical_expr(unqualified, df_schema) - .map_err(|e| format!("create_physical_expr for {} arg 0: {}", DELEGATION_POSSIBLE_FUNCTION_NAME, e))?; - let return_type = original_expr - .data_type(schema) - .map_err(|e| format!("data_type for {} arg 0: {}", DELEGATION_POSSIBLE_FUNCTION_NAME, e))?; + .map_err(|e| { + format!( + "create_physical_expr for {} arg 0: {}", + DELEGATION_POSSIBLE_FUNCTION_NAME, e + ) + })?; + let return_type = original_expr.data_type(schema).map_err(|e| { + format!( + "data_type for {} arg 0: {}", + DELEGATION_POSSIBLE_FUNCTION_NAME, e + ) + })?; if return_type != DataType::Boolean { return Err(format!( "{} arg 0 must be boolean-valued, got {:?}", @@ -321,7 +334,9 @@ fn is_and_only_collector_tree(tree: &BoolNode) -> bool { match tree { BoolNode::And(children) => children.iter().all(is_and_only_collector_tree), // Leaves are trivially fine (no Collector or DelegationPossible below them). - BoolNode::Collector { .. } | BoolNode::Predicate(_) | BoolNode::DelegationPossible { .. } => true, + BoolNode::Collector { .. } + | BoolNode::Predicate(_) + | BoolNode::DelegationPossible { .. } => true, // OR/NOT containing any Collector OR any DelegationPossible → Tree path. // For DelegationPossible under OR/NOT specifically, Tree path currently // routes to the Phase 3/7 unimplemented stubs — failing loud is preferred @@ -366,9 +381,7 @@ impl IndexFilterUdf { fn new() -> Self { Self { signature: Signature::one_of( - vec![ - TypeSignature::Exact(vec![DataType::Int32]), - ], + vec![TypeSignature::Exact(vec![DataType::Int32])], Volatility::Immutable, ), } @@ -427,7 +440,10 @@ impl DelegationPossibleUdf { Self { // Args: (originalPredicate: Boolean, annotationId: Int32). signature: Signature::one_of( - vec![TypeSignature::Exact(vec![DataType::Boolean, DataType::Int32])], + vec![TypeSignature::Exact(vec![ + DataType::Boolean, + DataType::Int32, + ])], Volatility::Immutable, ), } @@ -627,9 +643,7 @@ mod tests { // ── classify_filter ────────────────────────────────────────────── fn collector(id: i32) -> BoolNode { - BoolNode::Collector { - annotation_id: id, - } + BoolNode::Collector { annotation_id: id } } fn dummy_predicate() -> BoolNode { // A stand-in Predicate leaf — classify only cares about shape, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs index 2dfd8edba5c4c..cb051ec0eec3e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/table_provider.rs @@ -28,6 +28,7 @@ use std::fmt; use std::sync::Arc; use async_trait::async_trait; +use datafusion::arrow::compute::SortOptions; use datafusion::arrow::datatypes::{DataType, Field, Schema, SchemaRef}; use datafusion::catalog::{Session, TableProvider}; use datafusion::common::{Result, Statistics}; @@ -35,14 +36,17 @@ use datafusion::datasource::TableType; use datafusion::execution::SendableRecordBatchStream; use datafusion::logical_expr::{Expr, TableProviderFilterPushDown}; use datafusion::parquet::file::metadata::ParquetMetaData; -use datafusion::physical_expr::{EquivalenceProperties, LexOrdering, Partitioning, PhysicalSortExpr}; use datafusion::physical_expr::expressions::col as physical_col; -use datafusion::arrow::compute::SortOptions; +use datafusion::physical_expr::{ + EquivalenceProperties, LexOrdering, Partitioning, PhysicalSortExpr, +}; +use datafusion::physical_optimizer::pruning::PruningPredicate; use datafusion::physical_plan::execution_plan::{Boundedness, EmissionType}; -use datafusion::physical_plan::metrics::{Count, ExecutionPlanMetricsSet, MetricBuilder, MetricsSet}; +use datafusion::physical_plan::metrics::{ + Count, ExecutionPlanMetricsSet, MetricBuilder, MetricsSet, +}; use datafusion::physical_plan::{DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties}; use datafusion_common::DataFusionError; -use datafusion::physical_optimizer::pruning::PruningPredicate; use datafusion::physical_plan::stream::RecordBatchStreamAdapter; use futures::StreamExt; @@ -270,7 +274,9 @@ impl TableProvider for IndexedTableProvider { let row_id_col_in_full_schema = full_schema.index_of(crate::ROW_ID_COLUMN_NAME).ok(); let row_id_output_index: Option = if self.config.emit_row_ids { match projection { - Some(proj) => proj.iter().position(|&idx| Some(idx) == row_id_col_in_full_schema), + Some(proj) => proj + .iter() + .position(|&idx| Some(idx) == row_id_col_in_full_schema), None => row_id_col_in_full_schema, } } else { @@ -285,7 +291,8 @@ impl TableProvider for IndexedTableProvider { None => full_schema.clone(), }; if let Some(idx) = row_id_output_index { - let mut fields: Vec = base.fields().iter().map(|f| f.as_ref().clone()).collect(); + let mut fields: Vec = + base.fields().iter().map(|f| f.as_ref().clone()).collect(); fields[idx] = Field::new(crate::ROW_ID_COLUMN_NAME, DataType::Int64, false); Arc::new(Schema::new(fields)) } else { @@ -296,7 +303,8 @@ impl TableProvider for IndexedTableProvider { // Read projection = output columns (minus ___row_id) + predicate columns for evaluator. let read_projection: Option> = if self.config.emit_row_ids { let output_cols: Vec = match projection { - Some(proj) => proj.iter() + Some(proj) => proj + .iter() .filter(|&&idx| Some(idx) != row_id_col_in_full_schema) .copied() .collect(), @@ -376,9 +384,10 @@ impl TableProvider for IndexedTableProvider { None }; - let (assignments, eq_properties, advertised_ordering) = if chain_ok && lex_ordering.is_some() { - let assignments = - compute_assignments_one_per_segment(&self.config.segments, &layouts); + let (assignments, eq_properties, advertised_ordering) = if chain_ok + && lex_ordering.is_some() + { + let assignments = compute_assignments_one_per_segment(&self.config.segments, &layouts); let lex = lex_ordering.unwrap(); let eq = EquivalenceProperties::new_with_orderings( projected_schema.clone(), @@ -594,7 +603,9 @@ impl ExecutionPlan for QueryShardExec { } if accepted.is_empty() { - return Ok(FilterPushdownPropagation::with_parent_pushdown_result(statuses)); + return Ok(FilterPushdownPropagation::with_parent_pushdown_result( + statuses, + )); } let new_self = self.clone_with_dynamic_filters(accepted); @@ -618,9 +629,10 @@ impl ExecutionPlan for QueryShardExec { pmetrics.into_stream_metrics(Some(Arc::clone(&self.inner_parquet_metrics))); stream_metrics.io_stats = Some(Arc::clone(&self.io_stats)); - let dynamic_filter: Option> = - (!self.dynamic_filters.is_empty()) - .then(|| datafusion::physical_expr::utils::conjunction(self.dynamic_filters.clone())); + let dynamic_filter: Option> = (!self + .dynamic_filters + .is_empty()) + .then(|| datafusion::physical_expr::utils::conjunction(self.dynamic_filters.clone())); let mut streams: Vec = Vec::with_capacity(assignment.chunks.len()); @@ -642,23 +654,38 @@ impl ExecutionPlan for QueryShardExec { } // Build stats prune tree for segment/RG/subtree-level pruning. - let stats_prune_tree = self.config.prune_tree_config.as_ref().map(|(tree, preds, schema)| { - let rg_indices: Vec = row_groups.iter().map(|rg| rg.index).collect(); - Arc::new(StatsPruneTree::build_from_bool_node( - tree, preds, &segment.metadata, schema, &rg_indices, - )) - }); + let stats_prune_tree = + self.config + .prune_tree_config + .as_ref() + .map(|(tree, preds, schema)| { + let rg_indices: Vec = row_groups.iter().map(|rg| rg.index).collect(); + Arc::new(StatsPruneTree::build_from_bool_node( + tree, + preds, + &segment.metadata, + schema, + &rg_indices, + )) + }); // Segment-level skip: if no RG in the chunk can match, skip entirely. if let Some(ref spt) = stats_prune_tree { if !spt.rg_can_match.iter().any(|&k| k) { - native_bridge_common::log_debug!("[segment-skip] skipping chunk — pruned by segment-level stats"); + native_bridge_common::log_debug!( + "[segment-skip] skipping chunk — pruned by segment-level stats" + ); continue; } } - let evaluator = (self.config.evaluator_factory)(segment, chunk, &stream_metrics, stats_prune_tree.as_ref()) - .map_err(|e| DataFusionError::External(e.into()))?; + let evaluator = (self.config.evaluator_factory)( + segment, + chunk, + &stream_metrics, + stats_prune_tree.as_ref(), + ) + .map_err(|e| DataFusionError::External(e.into()))?; // When the sort-aware path fired (`advertised_ordering: Some`), the // chain-aware partitioning guarantees this chunk is one whole @@ -710,9 +737,8 @@ impl ExecutionPlan for QueryShardExec { let stream: SendableRecordBatchStream = match streams.len() { 0 => { - let empty = datafusion::physical_plan::empty::EmptyExec::new( - self.projected_schema.clone(), - ); + let empty = + datafusion::physical_plan::empty::EmptyExec::new(self.projected_schema.clone()); empty.execute(0, context)? } 1 => streams.into_iter().next().unwrap(), @@ -728,11 +754,7 @@ impl ExecutionPlan for QueryShardExec { impl Drop for QueryShardExec { fn drop(&mut self) { - accumulate_from_exec( - &self.metrics, - &self.inner_parquet_metrics, - &self.io_stats, - ); + accumulate_from_exec(&self.metrics, &self.inner_parquet_metrics, &self.io_stats); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs index 8a77f54d6e038..9834f8728bfba 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/constant_predicate.rs @@ -74,27 +74,29 @@ async fn run_constant_residual(residual: Arc) -> usize { row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; // FilterClass::None: no pruning predicate (column-less), constant applied // as residual in on_batch_mask. let factory: EvaluatorFactory = { let schema = schema.clone(); let residual = Arc::clone(&residual); - Arc::new(move |segment: &SegmentFileInfo, _chunk, stream_metrics, _stats_prune_tree| { - let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); - let eval: Arc = Arc::new(PredicateOnlyEvaluator::new( - pruner, - None, - Some(Arc::clone(&residual)), - Some(PagePruneMetrics::from_stream_metrics(stream_metrics)), - None, - HashMap::new(), - )); - Ok(eval) - }) + Arc::new( + move |segment: &SegmentFileInfo, _chunk, stream_metrics, _stats_prune_tree| { + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); + let eval: Arc = Arc::new(PredicateOnlyEvaluator::new( + pruner, + None, + Some(Arc::clone(&residual)), + Some(PagePruneMetrics::from_stream_metrics(stream_metrics)), + None, + HashMap::new(), + )); + Ok(eval) + }, + ) }; let store: Arc = diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs index 7c9ace9b3bd00..6ac424ca24b3d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/dynamic_filter_pushdown.rs @@ -27,11 +27,11 @@ use datafusion::parquet::arrow::ArrowWriter; use futures::StreamExt; use tempfile::NamedTempFile; +use super::super::eval::RowGroupBitsetSource; use super::super::index::RowGroupDocsCollector; use super::super::page_pruner::PagePruner; use super::super::stream::{FilterStrategy, RowGroupInfo}; use super::super::table_provider::{IndexedTableConfig, IndexedTableProvider, SegmentFileInfo}; -use super::super::eval::RowGroupBitsetSource; /// 16 rows, `price` = 15..0 **descending** in file order, 4 rows per row group → /// RG ranges (by row position) [15..12], [11..8], [7..4], [3..0]. The scan reads @@ -91,12 +91,7 @@ impl RowGroupDocsCollector for MatchAllCollector { /// Build the indexed provider over the fixture and run `sql`. Returns the /// `(price)` rows in emission order plus the executed physical plan (for /// reading metrics). -async fn run_indexed( - sql: &str, -) -> ( - Vec, - Arc, -) { +async fn run_indexed(sql: &str) -> (Vec, Arc) { let (tmp, schema) = write_fixture(); let path = tmp.path().to_path_buf(); let size = std::fs::metadata(&path).unwrap().len(); @@ -131,9 +126,9 @@ async fn run_indexed( row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let factory: super::super::table_provider::EvaluatorFactory = { let schema = schema.clone(); @@ -239,7 +234,8 @@ async fn topk_dynamic_filter_prunes_row_groups() { // ORDER BY price DESC LIMIT 2 → top-2 prices are 15, 14 (both in the last RG // [12..15]). As the TopK heap fills, the threshold rises and the earlier RGs // ([0..3], [4..7], [8..11]) become prunable. - let (prices, plan) = run_indexed("SELECT brand, price FROM t ORDER BY price DESC LIMIT 2").await; + let (prices, plan) = + run_indexed("SELECT brand, price FROM t ORDER BY price DESC LIMIT 2").await; // (1) Correctness: exactly the global top-2 by price, in DESC order. assert_eq!(prices, vec![15, 14], "top-2 DESC prices"); @@ -272,6 +268,10 @@ async fn no_limit_means_no_dynamic_filter_pruning() { let (prices, plan) = run_indexed("SELECT brand, price FROM t ORDER BY price DESC").await; assert_eq!(prices.len(), ROWS, "full result set without LIMIT"); assert_eq!(prices.first().copied(), Some(15)); - assert_eq!(rg_pruned_at_prefetch(&plan), 0, "no filter → no prefetch prune"); + assert_eq!( + rg_pruned_at_prefetch(&plan), + 0, + "no filter → no prefetch prune" + ); assert_eq!(rg_pruned_at_poll(&plan), 0, "no filter → no poll prune"); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/corpus.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/corpus.rs index 226ea0472062a..07e29918b31b7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/corpus.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/corpus.rs @@ -403,15 +403,13 @@ fn write_parquet( // the flush trigger. Utf8 columns (many bytes/value) flush // faster than Int32/Boolean columns, yielding genuinely // different per-column page counts. - builder = builder.set_dictionary_enabled(false).set_data_page_size_limit(512); + builder = builder + .set_dictionary_enabled(false) + .set_data_page_size_limit(512); } let props = builder.build(); - let mut w = ArrowWriter::try_new( - tmp.reopen().expect("reopen"), - batch.schema(), - Some(props), - ) - .expect("arrow writer"); + let mut w = ArrowWriter::try_new(tmp.reopen().expect("reopen"), batch.schema(), Some(props)) + .expect("arrow writer"); w.write(batch).expect("write"); w.close().expect("close"); tmp diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs index 6044278e795df..299dfef87cd73 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/delegation.rs @@ -140,10 +140,7 @@ fn gen_binary_predicate_expr( Arc::new(BinaryExpr::new(col_expr, op, lit_expr)) } -fn pick_literal_for( - rng: &mut StdRng, - dt: &datafusion::arrow::datatypes::DataType, -) -> ScalarValue { +fn pick_literal_for(rng: &mut StdRng, dt: &datafusion::arrow::datatypes::DataType) -> ScalarValue { use datafusion::arrow::datatypes::{DataType, TimeUnit}; let strategy = rng.gen_range(0..100u32); match dt { @@ -246,11 +243,12 @@ impl DelegatedBackendCollectorFactory for MockDelegatedBackendCollectorFactory { _doc_min: i32, _doc_max: i32, ) -> Result, String> { - let matching = self - .match_sets - .get(&provider_key) - .cloned() - .ok_or_else(|| format!("MockDelegatedBackend: no match-set for provider_key={}", provider_key))?; + let matching = self.match_sets.get(&provider_key).cloned().ok_or_else(|| { + format!( + "MockDelegatedBackend: no match-set for provider_key={}", + provider_key + ) + })?; Ok(Arc::new(StaticBitsetCollector { matching }) as Arc) } } @@ -298,9 +296,15 @@ fn compare_cell_lit_true(cell: &CellValue, op: Operator, lit: &ScalarValue) -> b }; } let ord: Option = match (cell, lit) { - (CellValue::Utf8(c), ScalarValue::Utf8(l)) => Some(bail_unknown!(c).as_str().cmp(bail_unknown!(l).as_str())), - (CellValue::Int32(c), ScalarValue::Int32(l)) => Some(bail_unknown!(c).cmp(bail_unknown!(l))), - (CellValue::Int64(c), ScalarValue::Int64(l)) => Some(bail_unknown!(c).cmp(bail_unknown!(l))), + (CellValue::Utf8(c), ScalarValue::Utf8(l)) => { + Some(bail_unknown!(c).as_str().cmp(bail_unknown!(l).as_str())) + } + (CellValue::Int32(c), ScalarValue::Int32(l)) => { + Some(bail_unknown!(c).cmp(bail_unknown!(l))) + } + (CellValue::Int64(c), ScalarValue::Int64(l)) => { + Some(bail_unknown!(c).cmp(bail_unknown!(l))) + } (CellValue::Float64(c), ScalarValue::Float64(l)) => { let c = bail_unknown!(c); let l = bail_unknown!(l); @@ -312,7 +316,9 @@ fn compare_cell_lit_true(cell: &CellValue, op: Operator, lit: &ScalarValue) -> b (CellValue::Boolean(c), ScalarValue::Boolean(l)) => { Some((*bail_unknown!(c) as i32).cmp(&(*bail_unknown!(l) as i32))) } - (CellValue::Date32(c), ScalarValue::Date32(l)) => Some(bail_unknown!(c).cmp(bail_unknown!(l))), + (CellValue::Date32(c), ScalarValue::Date32(l)) => { + Some(bail_unknown!(c).cmp(bail_unknown!(l))) + } (CellValue::TimestampNanos(c), ScalarValue::TimestampNanosecond(l, _)) => { Some(bail_unknown!(c).cmp(bail_unknown!(l))) } @@ -450,8 +456,7 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_delegation_tree( use datafusion::common::tree_node::TreeNode; let mut indices = std::collections::BTreeSet::new(); let _ = residual_physical.apply(|node| { - if let Some(col) = node - .downcast_ref::() + if let Some(col) = node.downcast_ref::() { indices.insert(col.index()); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs index 4b0148cb45843..7bb095b82ba71 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/harness.rs @@ -106,9 +106,9 @@ pub(in crate::indexed_table::tests_e2e) fn load_segment(corpus: &Corpus) -> Load row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}); + }); global_first_row += seg_rows as i64; } LoadedSegment { @@ -228,8 +228,11 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown leaf_exprs .iter() .filter_map(|expr| { - crate::indexed_table::page_pruner::build_pruning_predicate(expr, loaded.schema.clone()) - .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + crate::indexed_table::page_pruner::build_pruning_predicate( + expr, + loaded.schema.clone(), + ) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) }) .collect(), ); @@ -242,8 +245,12 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown Arc::new(move |segment, chunk, stream_metrics, stats_prune_tree| { let resolved = tree.resolve(&per_leaf)?; let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); - let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let rg_index_to_pos: HashMap = chunk + .row_group_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); let eval: Arc = Arc::new(TreeBitsetSource { tree: Arc::new(resolved), evaluator: Arc::new(BitmapTreeEvaluator), @@ -271,7 +278,8 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_with_plan_pushdown crate::indexed_table::eval::CollectorCallStrategy::FullRange, crate::indexed_table::eval::CollectorCallStrategy::PageRangeSplit, ][seed as usize % 3], - stats_prune_tree: stats_prune_tree.cloned(), rg_index_to_pos, + stats_prune_tree: stats_prune_tree.cloned(), + rg_index_to_pos, }); Ok(eval) }) @@ -431,7 +439,16 @@ pub(in crate::indexed_table::tests_e2e) async fn execute_tree_single_collector( }) }; - Some(run_single_collector_query(loaded, factory, residual_logical, force_strategy, _corpus.config.min_skip_run_override).await) + Some( + run_single_collector_query( + loaded, + factory, + residual_logical, + force_strategy, + _corpus.config.min_skip_run_override, + ) + .await, + ) } /// Execute `SELECT * FROM t WHERE ` so DataFusion's planner @@ -461,8 +478,8 @@ async fn run_single_collector_query( let mut indices = std::collections::BTreeSet::new(); if let Some(ref pp) = pushdown_predicate { let _ = pp.apply(|node| { - if let Some(col) = node - .downcast_ref::() + if let Some(col) = + node.downcast_ref::() { indices.insert(col.index()); } @@ -771,8 +788,7 @@ fn collect_predicate_column_indices(tree: &BoolNode) -> Vec { let mut indices = std::collections::BTreeSet::new(); for expr in &exprs { let _ = expr.apply(|node| { - if let Some(col) = node - .downcast_ref::() + if let Some(col) = node.downcast_ref::() { indices.insert(col.index()); } @@ -979,9 +995,7 @@ mod tests { let col: Arc = Arc::new(Column::new("price", 3)); let lit: Arc = Arc::new(Literal::new(ScalarValue::Int32(Some(1000)))); let predicate = BoolNode::Predicate(Arc::new(BinaryExpr::new(col, Operator::Lt, lit))); - let collector = BoolNode::Collector { - annotation_id: 0, - }; + let collector = BoolNode::Collector { annotation_id: 0 }; let tree_node = BoolNode::And(vec![collector, predicate]); let matching: Vec = (0..100i32).collect(); let gt = GeneratedTree { @@ -997,9 +1011,7 @@ mod tests { async fn harness_bare_collector() { let corpus = build_corpus(FixtureConfig::small(0x2222)); let loaded = load_segment(&corpus); - let collector = BoolNode::Collector { - annotation_id: 0, - }; + let collector = BoolNode::Collector { annotation_id: 0 }; let matching: Vec = (0..100i32).collect(); let gt = GeneratedTree { tree: collector, @@ -1026,9 +1038,7 @@ mod tests { let cfg = FixtureConfig::block_granular_dense(0x4444); let corpus = build_corpus(cfg); let loaded = load_segment(&corpus); - let tree = BoolNode::And(vec![BoolNode::Collector { - annotation_id: 0, - }]); + let tree = BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }]); let mut rng = StdRng::seed_from_u64(0x5555); let mut candidates: Vec = (0..corpus.num_rows() as i32).collect(); candidates.shuffle(&mut rng); @@ -1055,7 +1065,8 @@ mod tests { .await .expect("bare Collector classifies as SingleCollector"); assert_eq!( - expected, actual, + expected, + actual, "bare collector block-granular strategy={:?}: expected {} rows, got {}", strategy, expected.len(), @@ -1142,9 +1153,7 @@ mod tests { let col: Arc = Arc::new(Column::new("price", price_idx)); let lit: Arc = Arc::new(Literal::new(ScalarValue::Int32(Some(1000)))); let predicate = BoolNode::Predicate(Arc::new(BinaryExpr::new(col, Operator::Lt, lit))); - let collector_leaf = BoolNode::Collector { - annotation_id: 0, - }; + let collector_leaf = BoolNode::Collector { annotation_id: 0 }; let tree_node = BoolNode::And(vec![collector_leaf, predicate]); // 5% density, uniform. @@ -1217,12 +1226,8 @@ mod tests { BoolNode::Predicate(Arc::new(BinaryExpr::new(phys_col, Operator::Lt, phys_lit))); // Multi-collector → classifies as Tree path. - let c1 = BoolNode::Collector { - annotation_id: 0, - }; - let c2 = BoolNode::Collector { - annotation_id: 1, - }; + let c1 = BoolNode::Collector { annotation_id: 0 }; + let c2 = BoolNode::Collector { annotation_id: 1 }; let tree_node = BoolNode::And(vec![BoolNode::Or(vec![c1, c2]), predicate]); // Two collectors, 5% density each, uniform. @@ -1300,9 +1305,7 @@ mod tests { let col: Arc = Arc::new(Column::new("price", price_idx)); let lit: Arc = Arc::new(Literal::new(ScalarValue::Int32(Some(1000)))); let predicate = BoolNode::Predicate(Arc::new(BinaryExpr::new(col, Operator::Lt, lit))); - let collector_leaf = BoolNode::Collector { - annotation_id: 0, - }; + let collector_leaf = BoolNode::Collector { annotation_id: 0 }; let tree_node = BoolNode::And(vec![collector_leaf, predicate]); // Uniform random subset at `pct`% density. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/tree_gen.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/tree_gen.rs index f276520309190..060f25adfa1a6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/tree_gen.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/fuzz/tree_gen.rs @@ -499,7 +499,9 @@ mod tests { cs.iter().for_each(|c| count_fanouts(c, sum, count)); } BoolNode::Not(c) => count_fanouts(c, sum, count), - BoolNode::Collector { .. } | BoolNode::Predicate(_) | BoolNode::DelegationPossible { .. } => {} + BoolNode::Collector { .. } + | BoolNode::Predicate(_) + | BoolNode::DelegationPossible { .. } => {} } } @@ -522,7 +524,9 @@ mod tests { match n { BoolNode::And(cs) | BoolNode::Or(cs) => 1 + cs.iter().map(depth).max().unwrap_or(0), BoolNode::Not(c) => 1 + depth(c), - BoolNode::Collector { .. } | BoolNode::Predicate(_) | BoolNode::DelegationPossible { .. } => 0, + BoolNode::Collector { .. } + | BoolNode::Predicate(_) + | BoolNode::DelegationPossible { .. } => 0, } } @@ -532,7 +536,9 @@ mod tests { cs.len().max(cs.iter().map(max_fanout).max().unwrap_or(0)) } BoolNode::Not(c) => max_fanout(c), - BoolNode::Collector { .. } | BoolNode::Predicate(_) | BoolNode::DelegationPossible { .. } => 0, + BoolNode::Collector { .. } + | BoolNode::Predicate(_) + | BoolNode::DelegationPossible { .. } => 0, } } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs index 3367266d8e97e..f5d9dbf79c839 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/mod.rs @@ -231,10 +231,10 @@ async fn run_tree_and_plan( parquet_size: size, row_groups: rgs, metadata: Arc::clone(&parquet_meta), - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; // Normalize NOT push-down; build one collector per Collector leaf in DFS order. let tree = tree.push_not_down(); @@ -273,8 +273,10 @@ async fn run_tree_and_plan( _stream_metrics, ), ), - collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + collector_strategy: + crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs index cdf577b3bf00a..9df63221fde97 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/multi_segment.rs @@ -131,9 +131,9 @@ async fn run_two_segment_query( row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}); + }); } let schema = schema_opt.unwrap(); @@ -142,19 +142,18 @@ async fn run_two_segment_query( // Factory produces a single-collector evaluator per chunk. The collector's // matching set is pulled from `per_segment_matches[segment.writer_generation]`, // so wrong writer_generation propagation would immediately produce wrong rows. - let factory: super::super::table_provider::EvaluatorFactory = - { - let per_segment_matches = Arc::clone(&per_segment_matches); - let schema = schema.clone(); - Arc::new(move |segment, _chunk, _stream_metrics, _stats_prune_tree| { - let matching = per_segment_matches - .get(segment.writer_generation as usize) - .cloned() - .unwrap_or_default(); - let collector: Arc = - Arc::new(PerSegmentCollector { matching }); - let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); - let eval: Arc = Arc::new( + let factory: super::super::table_provider::EvaluatorFactory = { + let per_segment_matches = Arc::clone(&per_segment_matches); + let schema = schema.clone(); + Arc::new(move |segment, _chunk, _stream_metrics, _stats_prune_tree| { + let matching = per_segment_matches + .get(segment.writer_generation as usize) + .cloned() + .unwrap_or_default(); + let collector: Arc = + Arc::new(PerSegmentCollector { matching }); + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); + let eval: Arc = Arc::new( crate::indexed_table::eval::single_collector::SingleCollectorEvaluator::new( Some(collector), pruner, None, None, None, None, crate::indexed_table::eval::single_collector::CollectorCallStrategy::FullRange, @@ -167,9 +166,9 @@ async fn run_two_segment_query( std::collections::HashMap::new(), ), ); - Ok(eval) - }) - }; + Ok(eval) + }) + }; let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); @@ -268,11 +267,7 @@ struct ConcurrencyWitnessCollector { } impl RowGroupDocsCollector for ConcurrencyWitnessCollector { - fn collect_packed_u64_bitset( - &self, - min_doc: i32, - max_doc: i32, - ) -> Result, String> { + fn collect_packed_u64_bitset(&self, min_doc: i32, max_doc: i32) -> Result, String> { use std::sync::atomic::Ordering; let cur = self.in_flight.fetch_add(1, Ordering::SeqCst) + 1; // Update high-water-mark with a CAS loop. @@ -341,9 +336,9 @@ async fn run_two_segment_query_witness( row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}); + }); } let schema = schema_opt.unwrap(); @@ -361,12 +356,11 @@ async fn run_two_segment_query_witness( .get(segment.writer_generation as usize) .cloned() .unwrap_or_default(); - let collector: Arc = - Arc::new(ConcurrencyWitnessCollector { - inner: PerSegmentCollector { matching }, - in_flight: Arc::clone(&in_flight), - max_in_flight: Arc::clone(&max_in_flight), - }); + let collector: Arc = Arc::new(ConcurrencyWitnessCollector { + inner: PerSegmentCollector { matching }, + in_flight: Arc::clone(&in_flight), + max_in_flight: Arc::clone(&max_in_flight), + }); let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); let eval: Arc = Arc::new( crate::indexed_table::eval::single_collector::SingleCollectorEvaluator::new( @@ -439,8 +433,7 @@ async fn single_partition_runs_chunks_sequentially_no_inner_parallelism() { // so only the currently-active chunk's `prefetch_rg` (and therefore the // collector) is ever in flight → `max_in_flight == 1`. let matches = vec![vec![2, 6], vec![3, 7]]; - let (rows, max_in_flight) = - run_two_segment_query_witness(matches, /*num_partitions*/ 1).await; + let (rows, max_in_flight) = run_two_segment_query_witness(matches, /*num_partitions*/ 1).await; assert_eq!(rows.len(), 4, "result correctness sanity check"); assert_eq!( max_in_flight, 1, @@ -458,8 +451,7 @@ async fn cross_partition_parallelism_is_preserved() { // in *different* partitions and DataFusion drives them concurrently, // so the witness collector should observe `max_in_flight == 2`. let matches = vec![vec![2, 6], vec![3, 7]]; - let (rows, max_in_flight) = - run_two_segment_query_witness(matches, /*num_partitions*/ 2).await; + let (rows, max_in_flight) = run_two_segment_query_witness(matches, /*num_partitions*/ 2).await; assert_eq!(rows.len(), 4, "result correctness sanity check"); assert_eq!( max_in_flight, 2, @@ -561,26 +553,25 @@ async fn run_segments(specs: Vec, num_partitions: usize) -> Vec<(i32, S row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}); + }); } let schema = schema_opt.unwrap(); let per_segment_matches = Arc::new(per_segment_matches); - let factory: super::super::table_provider::EvaluatorFactory = - { - let per_segment_matches = Arc::clone(&per_segment_matches); - let schema = schema.clone(); - Arc::new(move |segment, _chunk, _stream_metrics, _stats_prune_tree| { - let matching = per_segment_matches - .get(segment.writer_generation as usize) - .cloned() - .unwrap_or_default(); - let collector: Arc = - Arc::new(PerSegmentCollector { matching }); - let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); - let eval: Arc = Arc::new( + let factory: super::super::table_provider::EvaluatorFactory = { + let per_segment_matches = Arc::clone(&per_segment_matches); + let schema = schema.clone(); + Arc::new(move |segment, _chunk, _stream_metrics, _stats_prune_tree| { + let matching = per_segment_matches + .get(segment.writer_generation as usize) + .cloned() + .unwrap_or_default(); + let collector: Arc = + Arc::new(PerSegmentCollector { matching }); + let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); + let eval: Arc = Arc::new( crate::indexed_table::eval::single_collector::SingleCollectorEvaluator::new( Some(collector), pruner, None, None, None, None, crate::indexed_table::eval::single_collector::CollectorCallStrategy::FullRange, @@ -593,9 +584,9 @@ async fn run_segments(specs: Vec, num_partitions: usize) -> Vec<(i32, S std::collections::HashMap::new(), ), ); - Ok(eval) - }) - }; + Ok(eval) + }) + }; let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); @@ -1059,9 +1050,9 @@ async fn run_wide_segments( row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}); + }); } let schema = schema_opt.unwrap(); @@ -1236,9 +1227,7 @@ async fn wide_multi_segment_collector_and_two_predicates() { // Tree: AND(all_brand_docs, price > 50, qty < 3) let specs = wide_four_seg_specs(); let tree = BoolNode::And(vec![ - BoolNode::Collector { - annotation_id: 0, - }, + BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 50), pred_wide_int("qty", Operator::Lt, 3), ]); @@ -1254,9 +1243,7 @@ async fn wide_multi_segment_or_of_predicates_under_collector() { // Tree: AND(all_brand_docs, OR(region == "us-east", active == true)) let specs = wide_four_seg_specs(); let tree = BoolNode::And(vec![ - BoolNode::Collector { - annotation_id: 0, - }, + BoolNode::Collector { annotation_id: 0 }, BoolNode::Or(vec![ pred_wide_str("region", Operator::Eq, "us-east"), pred_wide_bool("active", Operator::Eq, true), @@ -1274,9 +1261,7 @@ async fn wide_multi_segment_not_and_three_column_predicates() { // Tree: AND(all_brand_docs, NOT(price < 30), qty > 2, region != "eu-west") let specs = wide_four_seg_specs(); let tree = BoolNode::And(vec![ - BoolNode::Collector { - annotation_id: 0, - }, + BoolNode::Collector { annotation_id: 0 }, BoolNode::Not(Box::new(pred_wide_int("price", Operator::Lt, 30))), pred_wide_int("qty", Operator::Gt, 2), pred_wide_str("region", Operator::NotEq, "eu-west"), @@ -1296,9 +1281,7 @@ async fn wide_multi_segment_deep_tree_four_predicate_columns() { // Tree: AND(collector, OR(AND(price >= 100, qty = 3), AND(region == "us-west", active == true))) let specs = wide_four_seg_specs(); let tree = BoolNode::And(vec![ - BoolNode::Collector { - annotation_id: 0, - }, + BoolNode::Collector { annotation_id: 0 }, BoolNode::Or(vec![ BoolNode::And(vec![ pred_wide_int("price", Operator::GtEq, 100), @@ -1420,7 +1403,9 @@ async fn run_wide_segments_with_stats_pruning( let mut leaf_exprs: Vec> = Vec::new(); collect_pred_exprs(&tree, &mut leaf_exprs); - let pruning_predicates: Arc>> = Arc::new( + let pruning_predicates: Arc< + HashMap>, + > = Arc::new( leaf_exprs .iter() .filter_map(|expr| { @@ -1439,12 +1424,21 @@ async fn run_wide_segments_with_stats_pruning( Arc::new(move |segment, chunk, stream_metrics, stats_prune_tree| { let leaf_count = tree.collector_leaf_count(); let per_leaf: Vec<(i32, Arc)> = (0..leaf_count) - .map(|i| (i as i32, Arc::new(AllDocs) as Arc)) + .map(|i| { + ( + i as i32, + Arc::new(AllDocs) as Arc, + ) + }) .collect(); let resolved = tree.resolve(&per_leaf)?; let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); - let rg_index_to_pos: HashMap = chunk.row_group_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let rg_index_to_pos: HashMap = chunk + .row_group_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); let eval: Arc = Arc::new( crate::indexed_table::eval::TreeBitsetSource { tree: Arc::new(resolved), @@ -1485,7 +1479,11 @@ async fn run_wide_segments_with_stats_pruning( query_config: std::sync::Arc::new(qc), predicate_columns: vec![], emit_row_ids: false, - prune_tree_config: Some((Arc::clone(&tree), Arc::clone(&pruning_predicates), schema.clone())), + prune_tree_config: Some(( + Arc::clone(&tree), + Arc::clone(&pruning_predicates), + schema.clone(), + )), sort_fields: vec![], sort_orders: vec![], cancellation_token: None, @@ -1493,7 +1491,10 @@ async fn run_wide_segments_with_stats_pruning( let ctx = SessionContext::new(); ctx.register_table("t", provider).unwrap(); - let df = ctx.sql("SELECT brand, price, qty, region, active FROM t").await.unwrap(); + let df = ctx + .sql("SELECT brand, price, qty, region, active FROM t") + .await + .unwrap(); let mut stream = df.execute_stream().await.unwrap(); let mut rows: Vec<(i32, i32, i32, String, bool)> = Vec::new(); while let Some(batch) = stream.next().await { @@ -1502,10 +1503,23 @@ async fn run_wide_segments_with_stats_pruning( let price = b.column(1).as_any().downcast_ref::().unwrap(); let qty = b.column(2).as_any().downcast_ref::().unwrap(); let region = b.column(3).as_any().downcast_ref::().unwrap(); - let active = b.column(4).as_any().downcast_ref::().unwrap(); + let active = b + .column(4) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..b.num_rows() { - let ord = specs.iter().position(|s| s.brand == brand.value(i)).unwrap_or(0) as i32; - rows.push((ord, price.value(i), qty.value(i), region.value(i).to_string(), active.value(i))); + let ord = specs + .iter() + .position(|s| s.brand == brand.value(i)) + .unwrap_or(0) as i32; + rows.push(( + ord, + price.value(i), + qty.value(i), + region.value(i).to_string(), + active.value(i), + )); } } rows.sort(); @@ -1517,7 +1531,11 @@ async fn run_wide_segments_with_stats_pruning( /// RGs with prices [0..30] are stats-pruned by `price > 50`. #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn stats_prune_single_segment_single_partition() { - let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let specs = vec![WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }]; let tree = BoolNode::And(vec![ pred_wide_int("price", Operator::Gt, 50), BoolNode::Or(vec![ @@ -1535,7 +1553,11 @@ async fn stats_prune_single_segment_single_partition() { /// Each chunk has rg_indices=[N] where N>0 for non-first chunks. #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn stats_prune_single_segment_multi_partition() { - let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let specs = vec![WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }]; let tree = BoolNode::And(vec![ pred_wide_int("price", Operator::Gt, 50), BoolNode::Or(vec![ @@ -1579,7 +1601,8 @@ async fn stats_prune_multi_segment_multi_partition() { ]); let expected = wide_oracle(&specs, |i| (i as i32) * 10 > 80); for np in [2usize, 3, 5, 8] { - let rows = run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; + let rows = + run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; assert_eq!(rows, expected, "np={} failed", np); } } @@ -1599,7 +1622,8 @@ async fn stats_prune_multi_segment_multi_partition_with_not() { // NOT is conservative in stats (always true), so actual predicate filters. let expected = wide_oracle(&specs, |i| !((i as i32) * 10 < 40)); for np in [1usize, 3, 5] { - let rows = run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; + let rows = + run_wide_segments_with_stats_pruning(clone_wide_specs(&specs), tree.clone(), np).await; assert_eq!(rows, expected, "np={} failed", np); } } @@ -1618,11 +1642,16 @@ async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { // Build a segment with 4 RGs of 4 rows each. // prices: [0,10,20,30], [40,50,60,70], [80,90,100,110], [120,130,140,150] - let spec = WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }; + let spec = WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }; let tmp = write_wide_segment(spec.brand, spec.rows, spec.max_rg_rows); let path = tmp.path().to_path_buf(); let file = std::fs::File::open(&path).unwrap(); - let meta = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); + let meta = + ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); let parquet_meta = meta.metadata().clone(); let schema = meta.schema().clone(); assert_eq!(parquet_meta.num_row_groups(), 4); @@ -1640,36 +1669,58 @@ async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { // Build pruning predicates. let mut leaf_exprs: Vec> = Vec::new(); collect_pred_exprs(&tree, &mut leaf_exprs); - let pruning_predicates: HashMap> = - leaf_exprs - .iter() - .filter_map(|expr| { - crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) - .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) - }) - .collect(); + let pruning_predicates: HashMap< + usize, + Arc, + > = leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(); // Simulate a chunk with RGs [2, 3] (offset — doesn't start at 0). let rg_indices: Vec = vec![2, 3]; let spt = StatsPruneTree::build_from_bool_node( - &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices, + &tree, + &pruning_predicates, + &parquet_meta, + &schema, + &rg_indices, ); // Assert: rg_can_match for position 0 (RG2, prices 80-110) should be true (price>60 matches). // Assert: rg_can_match for position 1 (RG3, prices 120-150) should be true. - let rg_index_to_pos: HashMap = rg_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let rg_index_to_pos: HashMap = rg_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); assert_eq!(spt.rg_can_match.len(), 2, "subset-relative: 2 RGs in chunk"); - assert!(spt.rg_can_match[0], "RG2 (prices 80-110) should match price>60"); - assert!(spt.rg_can_match[1], "RG3 (prices 120-150) should match price>60"); + assert!( + spt.rg_can_match[0], + "RG2 (prices 80-110) should match price>60" + ); + assert!( + spt.rg_can_match[1], + "RG3 (prices 120-150) should match price>60" + ); // Now simulate a chunk with RGs [0, 1] — these SHOULD be pruned. let rg_indices_low: Vec = vec![0, 1]; let spt_low = StatsPruneTree::build_from_bool_node( - &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices_low, + &tree, + &pruning_predicates, + &parquet_meta, + &schema, + &rg_indices_low, ); // RG0 (prices 0-30): price>60 → false → AND=false - assert!(!spt_low.rg_can_match[0], "RG0 (prices 0-30) should be pruned by price>60"); + assert!( + !spt_low.rg_can_match[0], + "RG0 (prices 0-30) should be pruned by price>60" + ); // RG1 (prices 40-70): price>60 might be true for row with price=70 // (stats: min=40, max=70, so max > 60 → can_match=true at RG stats level) // This is expected: stats pruning is conservative. @@ -1678,25 +1729,32 @@ async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { #[derive(Debug)] struct AllDocs; impl RowGroupDocsCollector for AllDocs { - fn collect_packed_u64_bitset(&self, min_doc: i32, max_doc: i32) -> Result, String> { + fn collect_packed_u64_bitset( + &self, + min_doc: i32, + max_doc: i32, + ) -> Result, String> { let span = (max_doc - min_doc) as usize; let mut out = vec![0u64; span.div_ceil(64)]; - for i in 0..span { out[i / 64] |= 1u64 << (i % 64); } + for i in 0..span { + out[i / 64] |= 1u64 << (i % 64); + } Ok(out) } } let tree_arc = Arc::new(tree); - let per_leaf: Vec<(i32, Arc)> = vec![ - (0, Arc::new(AllDocs) as Arc), - ]; + let per_leaf: Vec<(i32, Arc)> = + vec![(0, Arc::new(AllDocs) as Arc)]; let resolved = tree_arc.resolve(&per_leaf).unwrap(); let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))); let source = crate::indexed_table::eval::TreeBitsetSource { tree: Arc::new(resolved), evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), - leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + leaves: Arc::new( + crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics(), + ), page_pruner: pruner, cost_predicate: 1, cost_collector: 10, @@ -1705,26 +1763,46 @@ async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, stats_prune_tree: Some(Arc::new(spt_low)), - rg_index_to_pos: rg_indices_low.iter().enumerate().map(|(pos, &idx)| (idx, pos)).collect(), + rg_index_to_pos: rg_indices_low + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(), }; // Assert: prefetch_rg for RG0 (offset index 0, pruned) returns None. - let rg0 = RowGroupInfo { index: 0, first_row: 0, num_rows: 4 }; + let rg0 = RowGroupInfo { + index: 0, + first_row: 0, + num_rows: 4, + }; let result_rg0 = source.prefetch_rg(&rg0, 0, 4).unwrap(); - assert!(result_rg0.is_none(), "RG0 should be pruned by stats (price>60 fails for prices 0-30)"); + assert!( + result_rg0.is_none(), + "RG0 should be pruned by stats (price>60 fails for prices 0-30)" + ); // Assert: prefetch_rg for RG1 at offset index 1 — may or may not be pruned // depending on stats (max price in RG1 is 70 which > 60, so can_match=true). - let rg1 = RowGroupInfo { index: 1, first_row: 4, num_rows: 4 }; + let rg1 = RowGroupInfo { + index: 1, + first_row: 4, + num_rows: 4, + }; let result_rg1 = source.prefetch_rg(&rg1, 4, 8).unwrap(); // RG1 (prices 40-70): max=70 > 60, so stats say can-match. Not pruned. - assert!(result_rg1.is_some(), "RG1 (max price=70) should not be stats-pruned"); + assert!( + result_rg1.is_some(), + "RG1 (max price=70) should not be stats-pruned" + ); // Now build source for chunk [2,3] — both survive. Verify offset lookup works. let source2 = crate::indexed_table::eval::TreeBitsetSource { tree: source.tree.clone(), evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), - leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + leaves: Arc::new( + crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics(), + ), page_pruner: Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))), cost_predicate: 1, cost_collector: 10, @@ -1737,17 +1815,34 @@ async fn stats_prune_direct_prefetch_asserts_pruning_and_empty_bitsets() { }; // RG2 at absolute index 2: should NOT be pruned (prices 80-110, all > 60). - let rg2 = RowGroupInfo { index: 2, first_row: 8, num_rows: 4 }; + let rg2 = RowGroupInfo { + index: 2, + first_row: 8, + num_rows: 4, + }; let result_rg2 = source2.prefetch_rg(&rg2, 8, 12).unwrap(); - assert!(result_rg2.is_some(), "RG2 at offset index should not be pruned"); + assert!( + result_rg2.is_some(), + "RG2 at offset index should not be pruned" + ); // Verify the collector bitmap is non-empty (all docs match). let prefetched = result_rg2.unwrap(); - assert!(!prefetched.candidates.is_empty(), "RG2 should have non-empty candidates"); + assert!( + !prefetched.candidates.is_empty(), + "RG2 should have non-empty candidates" + ); // RG3 at absolute index 3: should NOT be pruned. - let rg3 = RowGroupInfo { index: 3, first_row: 12, num_rows: 4 }; + let rg3 = RowGroupInfo { + index: 3, + first_row: 12, + num_rows: 4, + }; let result_rg3 = source2.prefetch_rg(&rg3, 12, 16).unwrap(); - assert!(result_rg3.is_some(), "RG3 at offset index should not be pruned"); + assert!( + result_rg3.is_some(), + "RG3 at offset index should not be pruned" + ); } /// Directly asserts that when a subtree under OR is stats-pruned, the @@ -1762,11 +1857,16 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { use crate::indexed_table::eval::RowGroupBitsetSource; use crate::indexed_table::page_pruner::StatsPruneTree; - let spec = WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }; + let spec = WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }; let tmp = write_wide_segment(spec.brand, spec.rows, spec.max_rg_rows); let path = tmp.path().to_path_buf(); let file = std::fs::File::open(&path).unwrap(); - let meta = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); + let meta = + ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)).unwrap(); let parquet_meta = meta.metadata().clone(); let schema = meta.schema().clone(); @@ -1784,24 +1884,36 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { let mut leaf_exprs: Vec> = Vec::new(); collect_pred_exprs(&tree, &mut leaf_exprs); - let pruning_predicates: HashMap> = - leaf_exprs - .iter() - .filter_map(|expr| { - crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) - .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) - }) - .collect(); + let pruning_predicates: HashMap< + usize, + Arc, + > = leaf_exprs + .iter() + .filter_map(|expr| { + crate::indexed_table::page_pruner::build_pruning_predicate(expr, schema.clone()) + .map(|pp| (Arc::as_ptr(expr) as *const () as usize, pp)) + }) + .collect(); // Chunk with RG1 only (prices 40-70). Offset index = 1. let rg_indices: Vec = vec![1]; let spt = StatsPruneTree::build_from_bool_node( - &tree, &pruning_predicates, &parquet_meta, &schema, &rg_indices, + &tree, + &pruning_predicates, + &parquet_meta, + &schema, + &rg_indices, ); // Root OR should still be true (Collector1 child is always-true). - assert!(spt.rg_can_match[0], "OR root should be true (Collector1 always matches)"); + assert!( + spt.rg_can_match[0], + "OR root should be true (Collector1 always matches)" + ); // AND child should be false (price>100 fails for RG1 max=70). - assert!(!spt.children[0].rg_can_match[0], "AND(price>100, Coll0) should be false for RG1"); + assert!( + !spt.children[0].rg_can_match[0], + "AND(price>100, Coll0) should be false for RG1" + ); // Collector1 child should be true. assert!(spt.children[1].rg_can_match[0], "Collector1 should be true"); @@ -1809,10 +1921,16 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { #[derive(Debug)] struct AllDocs; impl RowGroupDocsCollector for AllDocs { - fn collect_packed_u64_bitset(&self, min_doc: i32, max_doc: i32) -> Result, String> { + fn collect_packed_u64_bitset( + &self, + min_doc: i32, + max_doc: i32, + ) -> Result, String> { let span = (max_doc - min_doc) as usize; let mut out = vec![0u64; span.div_ceil(64)]; - for i in 0..span { out[i / 64] |= 1u64 << (i % 64); } + for i in 0..span { + out[i / 64] |= 1u64 << (i % 64); + } Ok(out) } } @@ -1823,13 +1941,18 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { ]; let resolved = Arc::new(tree).resolve(&per_leaf).unwrap(); let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&parquet_meta))); - let rg_index_to_pos: HashMap = rg_indices.iter() - .enumerate().map(|(pos, &idx)| (idx, pos)).collect(); + let rg_index_to_pos: HashMap = rg_indices + .iter() + .enumerate() + .map(|(pos, &idx)| (idx, pos)) + .collect(); let source = crate::indexed_table::eval::TreeBitsetSource { tree: Arc::new(resolved), evaluator: Arc::new(crate::indexed_table::eval::bitmap_tree::BitmapTreeEvaluator), - leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics()), + leaves: Arc::new( + crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps::without_metrics(), + ), page_pruner: pruner, cost_predicate: 1, cost_collector: 10, @@ -1842,33 +1965,51 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { }; // RG1 at absolute index 1: NOT pruned at root (OR is true). - let rg1 = RowGroupInfo { index: 1, first_row: 4, num_rows: 4 }; + let rg1 = RowGroupInfo { + index: 1, + first_row: 4, + num_rows: 4, + }; let result = source.prefetch_rg(&rg1, 4, 8).unwrap(); - assert!(result.is_some(), "RG1 should NOT be pruned at root (OR has surviving child)"); + assert!( + result.is_some(), + "RG1 should NOT be pruned at root (OR has surviving child)" + ); let prefetched = result.unwrap(); // Candidates should be non-empty (Collector1 matches all docs). - assert!(!prefetched.candidates.is_empty(), "Collector1 should produce non-empty candidates"); + assert!( + !prefetched.candidates.is_empty(), + "Collector1 should produce non-empty candidates" + ); // Downcast context to TreePrefetch to inspect per_leaf bitmaps. - let tree_prefetch = prefetched.context + let tree_prefetch = prefetched + .context .downcast_ref::() .expect("context should be TreePrefetch"); // Critical assertion: per_leaf must have 2 entries (one per collector). assert_eq!( - tree_prefetch.per_leaf.len(), 2, + tree_prefetch.per_leaf.len(), + 2, "both collectors must have per_leaf entries; got {}", tree_prefetch.per_leaf.len() ); // Collector0 (inside pruned AND subtree) must have EMPTY bitmap. let has_empty = tree_prefetch.per_leaf.iter().any(|(_, bm)| bm.is_empty()); - assert!(has_empty, "pruned Collector0 should have an empty bitmap in per_leaf"); + assert!( + has_empty, + "pruned Collector0 should have an empty bitmap in per_leaf" + ); // Collector1 (surviving) must have NON-EMPTY bitmap. let has_nonempty = tree_prefetch.per_leaf.iter().any(|(_, bm)| !bm.is_empty()); - assert!(has_nonempty, "surviving Collector1 should have a non-empty bitmap in per_leaf"); + assert!( + has_nonempty, + "surviving Collector1 should have a non-empty bitmap in per_leaf" + ); } /// Regression test for the flatten-misalignment bug: when the BoolNode tree @@ -1892,7 +2033,11 @@ async fn stats_prune_asserts_empty_collector_bitset_in_pruned_subtree() { /// Without the fix, branch0's pruning would incorrectly affect branch1. #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn stats_prune_three_way_or_flatten_misalignment_regression() { - let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let specs = vec![WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }]; // Build as nested OR(OR(A,B), C) — this is how convert_expr produces it // from `A OR B OR C` (left-associative binary OR). @@ -1926,14 +2071,21 @@ async fn stats_prune_three_way_or_flatten_misalignment_regression() { }); let rows = run_wide_segments_with_stats_pruning(specs, tree, 1).await; - assert_eq!(rows, expected, "3-way OR with nested structure must produce correct results after flatten"); + assert_eq!( + rows, expected, + "3-way OR with nested structure must produce correct results after flatten" + ); } /// Same as above but tests different clause orderings to ensure no /// order-dependent pruning bugs. #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn stats_prune_three_way_or_ordering_independence() { - let specs = vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }]; + let specs = vec![WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }]; let expected = wide_oracle(&specs, |i| { let price = (i as i32) * 10; @@ -1951,35 +2103,67 @@ async fn stats_prune_three_way_or_ordering_independence() { // OR(OR(A,B), C) BoolNode::Or(vec![ BoolNode::Or(vec![ - BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), - BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("price", Operator::Gt, 100), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 1 }, + pred_wide_str("region", Operator::Eq, "us-east"), + ]), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 2 }, + pred_wide_int("qty", Operator::Gt, 5), ]), - BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), ]), // OR(A, OR(B,C)) BoolNode::Or(vec![ - BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("price", Operator::Gt, 100), + ]), BoolNode::Or(vec![ - BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), - BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 1 }, + pred_wide_str("region", Operator::Eq, "us-east"), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 2 }, + pred_wide_int("qty", Operator::Gt, 5), + ]), ]), ]), // OR(OR(B,C), A) BoolNode::Or(vec![ BoolNode::Or(vec![ - BoolNode::And(vec![BoolNode::Collector { annotation_id: 1 }, pred_wide_str("region", Operator::Eq, "us-east")]), - BoolNode::And(vec![BoolNode::Collector { annotation_id: 2 }, pred_wide_int("qty", Operator::Gt, 5)]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 1 }, + pred_wide_str("region", Operator::Eq, "us-east"), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 2 }, + pred_wide_int("qty", Operator::Gt, 5), + ]), + ]), + BoolNode::And(vec![ + BoolNode::Collector { annotation_id: 0 }, + pred_wide_int("price", Operator::Gt, 100), ]), - BoolNode::And(vec![BoolNode::Collector { annotation_id: 0 }, pred_wide_int("price", Operator::Gt, 100)]), ]), ]; for (idx, tree) in orderings.into_iter().enumerate() { let rows = run_wide_segments_with_stats_pruning( - vec![WideSegSpec { brand: "amazon", rows: 16, max_rg_rows: 4 }], + vec![WideSegSpec { + brand: "amazon", + rows: 16, + max_rg_rows: 4, + }], tree, 1, - ).await; + ) + .await; assert_eq!(rows, expected, "ordering {} produced wrong results", idx); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs index f799c0a746f82..bfc5868b26f4e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/null_columns.rs @@ -333,10 +333,10 @@ async fn assert_engine_matches_reference_null(name: &str, tree: NT) { parquet_size: size, row_groups: rgs, metadata: Arc::clone(&parquet_meta), - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; let tree = Arc::new(bt); let per_leaf: Vec<(i32, Arc)> = collectors @@ -363,7 +363,8 @@ async fn assert_engine_matches_reference_null(name: &str, tree: NT) { page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs index e27bbc13c9302..03c9e0ba7cec9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/page_pruning.rs @@ -216,10 +216,10 @@ fn load_segment(tmp: &NamedTempFile) -> (SegmentFileInfo, SchemaRef) { parquet_size: size, row_groups: rgs, metadata: parquet_meta, - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; (seg, schema) } @@ -328,7 +328,8 @@ async fn run_bitmap_tree(tree: BoolNode) -> (Vec, Arc) { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs index 4e8010caae8ab..fdb7c6b8b9ad6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/qtf_fetch_phase.rs @@ -62,9 +62,9 @@ async fn query_phase(tree: BoolNode) -> Vec { row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let tree = tree.push_not_down(); let collectors = wire_collectors(&tree); @@ -101,7 +101,8 @@ async fn query_phase(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -155,10 +156,7 @@ async fn query_phase(tree: BoolNode) -> Vec { /// Run the fetch phase: given row IDs, build a ShardTableProvider with /// ParquetAccessPlan to read only those rows, then execute SQL to get data. /// Returns (row_id, column_values) tuples sorted by row_id. -async fn fetch_phase( - row_ids: &[i64], - fetch_columns: &[&str], -) -> Vec { +async fn fetch_phase(row_ids: &[i64], fetch_columns: &[&str]) -> Vec { if row_ids.is_empty() { return vec![]; } @@ -203,8 +201,7 @@ async fn fetch_phase( } } if !rg_bitmap.is_empty() { - let selection = - build_row_selection_with_min_skip_run(&rg_bitmap, rg_num_rows, 1); + let selection = build_row_selection_with_min_skip_run(&rg_bitmap, rg_num_rows, 1); plan.set(rg_idx, RowGroupAccess::Selection(selection)); } } @@ -304,7 +301,6 @@ fn extract_id_brand(batches: &[RecordBatch]) -> Vec<(i64, String)> { rows } - // ── Tests ──────────────────────────────────────────────────────────── /// Full QTF loop with SingleCollector: brand="amazon" -> get row IDs -> fetch brand+price -> verify. @@ -452,7 +448,8 @@ async fn test_qtf_full_loop_two_segments() { ctx.register_object_store(store_url.as_ref(), store); ctx.register_table("t", provider).unwrap(); - let sql = "SELECT (\"__row_id__\" + \"row_base\") AS \"__row_id__\", \"brand\", \"price\" FROM t"; + let sql = + "SELECT (\"__row_id__\" + \"row_base\") AS \"__row_id__\", \"brand\", \"price\" FROM t"; let df = ctx.sql(sql).await.unwrap(); let plan = df.create_physical_plan().await.unwrap(); let task_ctx = ctx.task_ctx(); @@ -510,10 +507,7 @@ async fn test_qtf_fetch_subset_columns() { /// brand="amazon" AND price=30 matches only row 12. #[tokio::test] async fn test_qtf_fetch_single_row() { - let tree = BoolNode::And(vec![ - index_leaf(0), - pred_int("price", Operator::Eq, 30), - ]); + let tree = BoolNode::And(vec![index_leaf(0), pred_int("price", Operator::Eq, 30)]); let (row_ids, batches) = query_then_fetch(tree, vec!["brand", "price"]).await; assert_eq!(row_ids, vec![12]); @@ -527,10 +521,7 @@ async fn test_qtf_fetch_single_row() { /// brand="amazon" AND price > 500 matches nothing. #[tokio::test] async fn test_qtf_fetch_empty_result() { - let tree = BoolNode::And(vec![ - index_leaf(0), - pred_int("price", Operator::Gt, 500), - ]); + let tree = BoolNode::And(vec![index_leaf(0), pred_int("price", Operator::Gt, 500)]); let (row_ids, batches) = query_then_fetch(tree, vec!["brand", "price"]).await; assert!(row_ids.is_empty()); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs index 1325ebd4afa00..0a9b949e35926 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_emission.rs @@ -19,7 +19,6 @@ use super::*; // Lot of query shapes --> for the query sent, how will that translate into at the data node side? - /// Helper: run a tree with `emit_row_ids: true` and return the collected row IDs. async fn run_tree_row_ids(tree: BoolNode) -> Vec { let tmp = write_fixture_parquet(); @@ -52,9 +51,9 @@ async fn run_tree_row_ids(tree: BoolNode) -> Vec { row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let tree = tree.push_not_down(); let collectors = wire_collectors(&tree); @@ -91,7 +90,8 @@ async fn run_tree_row_ids(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -223,9 +223,9 @@ async fn run_tree_row_ids_with_global_base(tree: BoolNode, global_base: u64) -> row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let tree = tree.push_not_down(); let collectors = wire_collectors(&tree); @@ -262,7 +262,8 @@ async fn run_tree_row_ids_with_global_base(tree: BoolNode, global_base: u64) -> ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -372,17 +373,25 @@ async fn test_all_query_types_match_fixture_positions() { let ids = run_tree_row_ids(BoolNode::And(vec![ index_leaf(0), pred_int("price", Operator::Gt, 100), - ])).await; + ])) + .await; let expected = expected_rows(|i| BRANDS[i] == "amazon" && PRICES[i] > 100); - assert_eq!(ids, expected, "Collector+Predicate(amazon,price>100) mismatch"); + assert_eq!( + ids, expected, + "Collector+Predicate(amazon,price>100) mismatch" + ); // Collector + Predicate: apple AND price < 90 → rows 7,13 let ids = run_tree_row_ids(BoolNode::And(vec![ index_leaf(1), pred_int("price", Operator::Lt, 90), - ])).await; + ])) + .await; let expected = expected_rows(|i| BRANDS[i] == "apple" && PRICES[i] < 90); - assert_eq!(ids, expected, "Collector+Predicate(apple,price<90) mismatch"); + assert_eq!( + ids, expected, + "Collector+Predicate(apple,price<90) mismatch" + ); // Tree OR: amazon OR apple → rows 0-7,12,13 let ids = run_tree_row_ids(BoolNode::Or(vec![index_leaf(0), index_leaf(1)])).await; @@ -399,21 +408,19 @@ async fn test_all_query_types_match_fixture_positions() { let ids = run_tree_row_ids(BoolNode::And(vec![ BoolNode::Or(vec![index_leaf(0), index_leaf(1)]), pred_int("price", Operator::Gt, 100), - ])).await; - let expected = expected_rows(|i| (BRANDS[i] == "amazon" || BRANDS[i] == "apple") && PRICES[i] > 100); + ])) + .await; + let expected = + expected_rows(|i| (BRANDS[i] == "amazon" || BRANDS[i] == "apple") && PRICES[i] > 100); assert_eq!(ids, expected, "Tree OR+Predicate mismatch"); // Predicate only: price >= 150 → rows 1,6,9,11 - let ids = run_tree_row_ids(BoolNode::And(vec![ - pred_int("price", Operator::GtEq, 150), - ])).await; + let ids = run_tree_row_ids(BoolNode::And(vec![pred_int("price", Operator::GtEq, 150)])).await; let expected = expected_rows(|i| PRICES[i] >= 150); assert_eq!(ids, expected, "Predicate-only(price>=150) mismatch"); // Predicate only: price < 50 → rows 8,12,13 - let ids = run_tree_row_ids(BoolNode::And(vec![ - pred_int("price", Operator::Lt, 50), - ])).await; + let ids = run_tree_row_ids(BoolNode::And(vec![pred_int("price", Operator::Lt, 50)])).await; let expected = expected_rows(|i| PRICES[i] < 50); assert_eq!(ids, expected, "Predicate-only(price<50) mismatch"); @@ -421,14 +428,18 @@ async fn test_all_query_types_match_fixture_positions() { let ids = run_tree_row_ids(BoolNode::And(vec![ pred_int("price", Operator::Gt, 50), pred_int("price", Operator::Lt, 100), - ])).await; + ])) + .await; let expected = expected_rows(|i| PRICES[i] > 50 && PRICES[i] < 100); assert_eq!(ids, expected, "Multi-predicate(50 80) || (BRANDS[i] == "apple" && STATUSES[i] == "archived") @@ -491,9 +504,9 @@ async fn test_row_id_with_data_columns() { row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; // Filter: brand = "amazon" (rows 0,1,2,3,12) let tree = BoolNode::And(vec![index_leaf(0)]).push_not_down(); @@ -531,7 +544,8 @@ async fn test_row_id_with_data_columns() { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -576,7 +590,11 @@ async fn test_row_id_with_data_columns() { let mut rows: Vec<(i64, String, i32)> = Vec::new(); while let Some(batch) = stream.next().await { let b = batch.unwrap(); - assert_eq!(b.num_columns(), 3, "should have 3 columns: __row_id__, brand, price"); + assert_eq!( + b.num_columns(), + 3, + "should have 3 columns: __row_id__, brand, price" + ); assert_eq!(b.schema().field(0).name(), "__row_id__"); assert_eq!(b.schema().field(1).name(), "brand"); assert_eq!(b.schema().field(2).name(), "price"); @@ -611,15 +629,20 @@ async fn test_row_id_column_detection() { vec![ Arc::new(datafusion::arrow::array::StringArray::from(BRANDS.to_vec())), Arc::new(datafusion::arrow::array::Int32Array::from(PRICES.to_vec())), - Arc::new(datafusion::arrow::array::StringArray::from(STATUSES.to_vec())), - Arc::new(datafusion::arrow::array::StringArray::from(CATEGORIES.to_vec())), + Arc::new(datafusion::arrow::array::StringArray::from( + STATUSES.to_vec(), + )), + Arc::new(datafusion::arrow::array::StringArray::from( + CATEGORIES.to_vec(), + )), Arc::new(datafusion::arrow::array::Int64Array::from(row_ids)), ], ) .unwrap(); let ctx = SessionContext::new(); - let mem_table = datafusion::datasource::MemTable::try_new(schema.clone(), vec![vec![batch]]).unwrap(); + let mem_table = + datafusion::datasource::MemTable::try_new(schema.clone(), vec![vec![batch]]).unwrap(); ctx.register_table("t", Arc::new(mem_table)).unwrap(); // Plan with __row_id__ in projection — should be detected @@ -737,9 +760,9 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { row_groups: rgs1, metadata: Arc::clone(&parquet_meta1), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let segment2 = SegmentFileInfo { writer_generation: 1, max_doc: 16, @@ -748,9 +771,9 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { row_groups: rgs2, metadata: Arc::clone(&parquet_meta2), global_base: 16, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let tree = tree.push_not_down(); let collectors = wire_collectors(&tree); @@ -787,7 +810,8 @@ async fn run_two_segments_row_ids(tree: BoolNode) -> Vec { ), collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -876,5 +900,8 @@ async fn test_emit_row_ids_two_segments_with_filter() { 10, "should have 10 row IDs (5 amazon rows per segment)" ); - assert_eq!(ids, expected, "filtered row IDs should be offset by global_base"); + assert_eq!( + ids, expected, + "filtered row IDs should be offset by global_base" + ); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs index b1744e4027f16..1fde3ea9e3478 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/row_id_strategies.rs @@ -56,7 +56,9 @@ mod tests { while written < num_rows { let batch_size = (num_rows - written).min(rows_per_rg); let row_ids: Vec = (written..written + batch_size).map(|i| i as i64).collect(); - let values: Vec = (written..written + batch_size).map(|i| (i * 10) as i32).collect(); + let values: Vec = (written..written + batch_size) + .map(|i| (i * 10) as i32) + .collect(); let names: Vec = (written..written + batch_size) .map(|i| format!("row_{}", i)) .collect(); @@ -93,9 +95,15 @@ mod tests { let (path3, rg_counts3) = create_test_parquet(dir.path(), "file3.parquet", 50, 100); let file_metadata = vec![ - FileRowMetadata { row_group_row_counts: rg_counts1 }, - FileRowMetadata { row_group_row_counts: rg_counts2 }, - FileRowMetadata { row_group_row_counts: rg_counts3 }, + FileRowMetadata { + row_group_row_counts: rg_counts1, + }, + FileRowMetadata { + row_group_row_counts: rg_counts2, + }, + FileRowMetadata { + row_group_row_counts: rg_counts3, + }, ]; let total_rows = 100 + 150 + 50; @@ -148,7 +156,7 @@ mod tests { let shard_files = build_shard_files(&object_metas, &metadata); // Verify row_base values - assert_eq!(shard_files[0].row_base, 0); // First file starts at 0 + assert_eq!(shard_files[0].row_base, 0); // First file starts at 0 assert_eq!(shard_files[1].row_base, 100); // Second file starts at 100 assert_eq!(shard_files[2].row_base, 250); // Third file starts at 250 @@ -213,9 +221,15 @@ mod tests { let (_path3, rg3) = create_test_parquet(dir.path(), "tiny.parquet", 7, 100); let metadata = vec![ - FileRowMetadata { row_group_row_counts: rg1 }, - FileRowMetadata { row_group_row_counts: rg2 }, - FileRowMetadata { row_group_row_counts: rg3 }, + FileRowMetadata { + row_group_row_counts: rg1, + }, + FileRowMetadata { + row_group_row_counts: rg2, + }, + FileRowMetadata { + row_group_row_counts: rg3, + }, ]; let object_metas: Vec = vec![ diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs index d6a1732112889..8eb3322a3be46 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/schema_drift.rs @@ -96,10 +96,10 @@ async fn run_missing_col_tree(tree_bool: BoolNode) -> usize { parquet_size: size, row_groups: rgs, metadata: Arc::clone(&parquet_meta), - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; let tree = Arc::new(tree_bool); let factory: super::super::table_provider::EvaluatorFactory = { @@ -118,8 +118,10 @@ async fn run_missing_col_tree(tree_bool: BoolNode) -> usize { max_collector_parallelism: 1, pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, - collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + collector_strategy: + crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -290,18 +292,15 @@ fn page_pruner_prunes_existing_column_despite_missing_column() { // so ~10% of rows match, concentrated at the start of every 1000-row // cycle → some pages will be prunable). let score_idx = drift_schema.index_of("score").unwrap(); - let score_col: std::sync::Arc = std::sync::Arc::new( - datafusion::physical_expr::expressions::Column::new("score", score_idx), - ); + let score_col: std::sync::Arc = + std::sync::Arc::new(datafusion::physical_expr::expressions::Column::new( + "score", score_idx, + )); let lit_100: std::sync::Arc = std::sync::Arc::new( datafusion::physical_expr::expressions::Literal::new(ScalarValue::Int32(Some(100))), ); let score_lt: std::sync::Arc = std::sync::Arc::new( - datafusion::physical_expr::expressions::BinaryExpr::new( - score_col, - Operator::Lt, - lit_100, - ), + datafusion::physical_expr::expressions::BinaryExpr::new(score_col, Operator::Lt, lit_100), ); let pp_solo = build_pruning_predicate(&score_lt, drift_schema.clone()) .expect("score<100 is not always_true on this fixture"); @@ -346,8 +345,7 @@ fn page_pruner_prunes_existing_column_despite_missing_column() { match (solo.as_ref(), combined.as_ref()) { (Some(s), Some(c)) => { let solo_kept: usize = s.iter().filter(|r| !r.skip).map(|r| r.row_count).sum(); - let combined_kept: usize = - c.iter().filter(|r| !r.skip).map(|r| r.row_count).sum(); + let combined_kept: usize = c.iter().filter(|r| !r.skip).map(|r| r.row_count).sum(); assert!( combined_kept <= solo_kept, "rg {}: combined selection kept {} rows, solo kept {} — \ @@ -411,9 +409,9 @@ async fn query_with_mismatched_schema( row_groups: rgs, metadata: Arc::clone(&parquet_meta), global_base: 0, - sort_min: None, + sort_min: None, sort_max: None, -}; + }; let tree = Arc::new(tree_bool); let factory: super::super::table_provider::EvaluatorFactory = { let tree = Arc::clone(&tree); @@ -433,7 +431,8 @@ async fn query_with_mismatched_schema( page_prune_metrics: None, collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs index 26afc76f1e5ed..9d24941baebd4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/sort_reverse_row_id.rs @@ -118,10 +118,7 @@ impl RowGroupDocsCollector for LocalOffsetCollector { /// Build a `Vec` for the given specs, including catalog-order /// `global_base` so `__row_id__ = global_base + local_pos` resolves to a unique /// shard-global value per matching row. -fn build_segments( - tmps: &[NamedTempFile], - specs: &[SegSpec], -) -> (Vec, SchemaRef) { +fn build_segments(tmps: &[NamedTempFile], specs: &[SegSpec]) -> (Vec, SchemaRef) { let mut segs = Vec::new(); let mut schema_opt: Option = None; let mut cumulative: u64 = 0; @@ -129,8 +126,9 @@ fn build_segments( let path = tmp.path().to_path_buf(); let size = std::fs::metadata(&path).unwrap().len(); let file = std::fs::File::open(&path).unwrap(); - let meta = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)) - .unwrap(); + let meta = + ArrowReaderMetadata::load(&file, ArrowReaderOptions::new().with_page_index(true)) + .unwrap(); if schema_opt.is_none() { schema_opt = Some(meta.schema().clone()); } @@ -174,7 +172,10 @@ async fn collect_row_ids( // EvaluatorFactory selects the matching set for the segment it's asked about — so // this works whether segments are in natural order or reversed (it identifies the // segment by its writer_generation, which moves with the segment). - let per_gen: Vec> = specs.iter().map(|s| s.match_local_offsets.clone()).collect(); + let per_gen: Vec> = specs + .iter() + .map(|s| s.match_local_offsets.clone()) + .collect(); let per_gen = Arc::new(per_gen); let factory: super::super::table_provider::EvaluatorFactory = { @@ -185,7 +186,8 @@ async fn collect_row_ids( .get(segment.writer_generation as usize) .cloned() .unwrap_or_default(); - let collector: Arc = Arc::new(LocalOffsetCollector { matching }); + let collector: Arc = + Arc::new(LocalOffsetCollector { matching }); let pruner = Arc::new(PagePruner::new(&schema, Arc::clone(&segment.metadata))); // Single-collector tree. let tree = BoolNode::Collector { annotation_id: 0 }; @@ -194,9 +196,11 @@ async fn collect_row_ids( let eval: Arc = Arc::new(TreeBitsetSource { tree: Arc::new(resolved), evaluator: Arc::new(BitmapTreeEvaluator), - leaves: Arc::new(crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps { - ffm_collector_calls: _stream_metrics.ffm_collector_calls.clone(), - }), + leaves: Arc::new( + crate::indexed_table::eval::bitmap_tree::CollectorLeafBitmaps { + ffm_collector_calls: _stream_metrics.ffm_collector_calls.clone(), + }, + ), page_pruner: pruner, cost_predicate: 1, cost_collector: 10, @@ -207,8 +211,10 @@ async fn collect_row_ids( _stream_metrics, ), ), - collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + collector_strategy: + crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -261,9 +267,21 @@ async fn collect_row_ids( #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn three_segments_row_ids_invariant_under_reversal() { let specs = vec![ - SegSpec { tag: "A", rows: 8, match_local_offsets: vec![0, 3, 7] }, // global ids 0, 3, 7 - SegSpec { tag: "B", rows: 6, match_local_offsets: vec![1, 4] }, // global ids 9, 12 - SegSpec { tag: "C", rows: 10, match_local_offsets: vec![0, 5, 9] }, // global ids 14, 19, 23 + SegSpec { + tag: "A", + rows: 8, + match_local_offsets: vec![0, 3, 7], + }, // global ids 0, 3, 7 + SegSpec { + tag: "B", + rows: 6, + match_local_offsets: vec![1, 4], + }, // global ids 9, 12 + SegSpec { + tag: "C", + rows: 10, + match_local_offsets: vec![0, 5, 9], + }, // global ids 14, 19, 23 ]; let tmps: Vec = specs.iter().map(write_segment).collect(); let (segs_natural, schema) = build_segments(&tmps, &specs); @@ -281,7 +299,10 @@ async fn three_segments_row_ids_invariant_under_reversal() { let expected = vec![0i64, 3, 7, 9, 12, 14, 19, 23]; assert_eq!(ids_natural, expected, "natural-order ids"); - assert_eq!(ids_reversed, expected, "reversed-order ids — same shard-global IDs as natural"); + assert_eq!( + ids_reversed, expected, + "reversed-order ids — same shard-global IDs as natural" + ); } /// 4 segments. Confirms the property holds at the larger end of the test contract @@ -290,10 +311,26 @@ async fn three_segments_row_ids_invariant_under_reversal() { #[tokio::test(flavor = "multi_thread", worker_threads = 2)] async fn four_segments_row_ids_invariant_under_reversal() { let specs = vec![ - SegSpec { tag: "A", rows: 5, match_local_offsets: vec![0, 4] }, // 0, 4 - SegSpec { tag: "B", rows: 5, match_local_offsets: vec![2] }, // 7 - SegSpec { tag: "C", rows: 5, match_local_offsets: vec![1, 3] }, // 11, 13 - SegSpec { tag: "D", rows: 5, match_local_offsets: vec![0, 2, 4] }, // 15, 17, 19 + SegSpec { + tag: "A", + rows: 5, + match_local_offsets: vec![0, 4], + }, // 0, 4 + SegSpec { + tag: "B", + rows: 5, + match_local_offsets: vec![2], + }, // 7 + SegSpec { + tag: "C", + rows: 5, + match_local_offsets: vec![1, 3], + }, // 11, 13 + SegSpec { + tag: "D", + rows: 5, + match_local_offsets: vec![0, 2, 4], + }, // 15, 17, 19 ]; let tmps: Vec = specs.iter().map(write_segment).collect(); let (segs_natural, schema) = build_segments(&tmps, &specs); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs index 4677f83a26916..b709621d5b539 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/tests_e2e/streaming_at_scale.rs @@ -406,10 +406,10 @@ async fn run_large( parquet_size: size, row_groups: rgs, metadata: Arc::clone(&parquet_meta), - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; let tree = Arc::new(tree); let per_leaf: Vec<(i32, Arc)> = collectors @@ -434,8 +434,10 @@ async fn run_large( max_collector_parallelism: 1, pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, - collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + collector_strategy: + crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) @@ -865,10 +867,10 @@ async fn run_large_partitioned( parquet_size: size, row_groups: rgs, metadata: Arc::clone(&parquet_meta), - global_base: 0, - sort_min: None, + global_base: 0, + sort_min: None, sort_max: None, -}; + }; let tree = Arc::new(tree); let per_leaf: Vec<(i32, Arc)> = collectors @@ -893,8 +895,10 @@ async fn run_large_partitioned( max_collector_parallelism: 1, pruning_predicates: std::sync::Arc::new(std::collections::HashMap::new()), page_prune_metrics: None, - collector_strategy: crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, - stats_prune_tree: None, rg_index_to_pos: HashMap::new(), + collector_strategy: + crate::indexed_table::eval::CollectorCallStrategy::TightenOuterBounds, + stats_prune_tree: None, + rg_index_to_pos: HashMap::new(), }); Ok(eval) }) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 8288a8149629b..8708627abe3a4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -44,26 +44,26 @@ pub mod query_budget; pub mod query_executor; pub mod query_tracker; pub mod relabel_exec; -pub mod shard_table_provider; pub mod runtime_manager; pub mod schema_coerce; pub mod session_context; +pub mod shard_table_provider; -pub mod udaf; -pub mod udf; -pub mod udwf; pub mod native_node_stats; +pub mod scoped_index_optimizer; +pub mod scoped_page_index_reader; pub mod search_stats; pub mod stats; pub mod task_monitors; -pub mod scoped_index_optimizer; -pub mod scoped_page_index_reader; +pub mod udaf; +pub mod udf; +pub mod udwf; // Path aliases — old module names still resolve unchanged. -pub use cache::statistics_cache; -pub use cache::eviction_policy; pub use cache::custom_cache_manager; +pub use cache::eviction_policy; pub use cache::page_index as parquet_page_cache; +pub use cache::statistics_cache; #[cfg(test)] mod spill_e2e_test; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs index 89756519380ed..42bf70d811c4a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/local_executor.rs @@ -38,8 +38,8 @@ use datafusion::execution::{SendableRecordBatchStream, SessionStateBuilder}; use datafusion::physical_plan::displayable; use datafusion::physical_plan::streaming::PartitionStream; use datafusion::prelude::{SessionConfig, SessionContext}; -use native_bridge_common::log_debug; use datafusion_substrait::logical_plan::consumer::from_substrait_plan; +use native_bridge_common::log_debug; use prost::Message; use substrait::proto::Plan; @@ -71,17 +71,24 @@ impl LocalSession { pub fn new(runtime_env: &RuntimeEnv) -> Self { let runtime_env = Arc::new(runtime_env.clone()); let mut config = SessionConfig::new(); - config.options_mut().execution.target_partitions = crate::api::get_reduce_target_partitions(); + config.options_mut().execution.target_partitions = + crate::api::get_reduce_target_partitions(); let state = SessionStateBuilder::new() .with_config(config) .with_runtime_env(runtime_env) .with_default_features() - .with_physical_optimizer_rules(crate::agg_mode::physical_optimizer_rules_without_combine()) + .with_physical_optimizer_rules( + crate::agg_mode::physical_optimizer_rules_without_combine(), + ) .build(); let ctx = SessionContext::new_with_state(state); crate::udf::register_all(&ctx); crate::udaf::register_all(&ctx); - Self { ctx, prepared_plan: None, _phantom_reservation: None } + Self { + ctx, + prepared_plan: None, + _phantom_reservation: None, + } } /// Returns the configured batch_size for this session. @@ -91,7 +98,11 @@ impl LocalSession { /// Returns the current target_partitions for this session. pub fn target_partitions(&self) -> usize { - self.ctx.copied_config().options().execution.target_partitions + self.ctx + .copied_config() + .options() + .execution + .target_partitions } /// Reduce target_partitions on this session. Only reduces, never increases. @@ -114,7 +125,10 @@ impl LocalSession { /// Sets the phantom reservation for this session. Caller should check /// phantom_size() first and only acquire a new reservation if the new /// estimate is larger than the current one. - pub fn set_phantom(&mut self, reservation: datafusion::execution::memory_pool::MemoryReservation) { + pub fn set_phantom( + &mut self, + reservation: datafusion::execution::memory_pool::MemoryReservation, + ) { self._phantom_reservation = Some(reservation); } @@ -179,20 +193,34 @@ impl LocalSession { pub async fn execute_substrait( &self, bytes: &[u8], - ) -> Result<(SendableRecordBatchStream, Arc), DataFusionError> { + ) -> Result< + ( + SendableRecordBatchStream, + Arc, + ), + DataFusionError, + > { let plan = Plan::decode(bytes).map_err(|e| { DataFusionError::Execution(format!("Failed to decode Substrait plan: {}", e)) })?; let logical_plan = from_substrait_plan(&self.ctx.state(), &plan).await?; - log_debug!("DataFusion logical plan:\n{}", logical_plan.display_indent()); + log_debug!( + "DataFusion logical plan:\n{}", + logical_plan.display_indent() + ); let dataframe = self.ctx.execute_logical_plan(logical_plan).await?; let physical_plan = dataframe.create_physical_plan().await?; let target_schema = crate::schema_coerce::coerce_inferred_schema(physical_plan.schema()); - let physical_plan = crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; - log_debug!("DataFusion coordinator reduce physical plan:\n{}", displayable(physical_plan.as_ref()).indent(true)); - let stream = datafusion::physical_plan::execute_stream(physical_plan.clone(), self.ctx.task_ctx()) - .map_err(|e| DataFusionError::Execution(format!("execute_substrait: {}", e)))?; + let physical_plan = + crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; + log_debug!( + "DataFusion coordinator reduce physical plan:\n{}", + displayable(physical_plan.as_ref()).indent(true) + ); + let stream = + datafusion::physical_plan::execute_stream(physical_plan.clone(), self.ctx.task_ctx()) + .map_err(|e| DataFusionError::Execution(format!("execute_substrait: {}", e)))?; Ok((stream, physical_plan)) } @@ -357,7 +385,10 @@ mod tests { let producer = std::thread::spawn(move || { for chunk in &[vec![1i64, 2, 3], vec![4, 5, 6], vec![7, 8, 9]] { let outcome = sender.send_blocking(Ok(i64_batch(&producer_schema, chunk)), &handle); - assert!(matches!(outcome, crate::partition_stream::SendOutcome::Sent)); + assert!(matches!( + outcome, + crate::partition_stream::SendOutcome::Sent + )); } drop(sender); // EOF }); @@ -488,7 +519,10 @@ mod tests { // version; cast to Utf8 so the assertion is independent of the concrete string type. let col = datafusion::arrow::compute::cast(batch.column(0), &DataType::Utf8) .expect("cast concat output to Utf8"); - let col = col.as_any().downcast_ref::().expect("utf8 col"); + let col = col + .as_any() + .downcast_ref::() + .expect("utf8 col"); for i in 0..col.len() { results.push(col.value(i).to_string()); } @@ -564,7 +598,8 @@ mod tests { let ctx_id = 98_765; let pool: Arc = Arc::new(GreedyMemoryPool::new(10_000)); - let _tracking = QueryTrackingContext::new(ctx_id, pool, query_tracker::QueryType::Coordinator); + let _tracking = + QueryTrackingContext::new(ctx_id, pool, query_tracker::QueryType::Coordinator); // A future that would block indefinitely — `cancel_query` is the // only way out. Mirrors a coord reduce stalled on an input partition diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs index c4a92d69f463c..408983c06392b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory.rs @@ -171,9 +171,11 @@ impl MemoryPool for DynamicLimitPool { // callers `used + additional` cannot overflow `usize`. Use a saturating // CAS loop so that a buggy caller (or a malicious `additional == usize::MAX`) // cannot wrap the counter. - let _ = self.used.fetch_update(Ordering::Relaxed, Ordering::Relaxed, |used| { - Some(used.saturating_add(additional)) - }); + let _ = self + .used + .fetch_update(Ordering::Relaxed, Ordering::Relaxed, |used| { + Some(used.saturating_add(additional)) + }); } fn shrink(&self, _reservation: &MemoryReservation, shrink: usize) { @@ -256,7 +258,8 @@ impl MemoryPool for DynamicLimitPool { let dynamic_limit = &self.dynamic_limit; // Fast path: try the normal CAS against the pool limit. - let cas_result = self.used + let cas_result = self + .used .fetch_update(Ordering::Relaxed, Ordering::Relaxed, |used| { let limit = dynamic_limit.load(Ordering::Acquire); let new_used = used.checked_add(additional)?; @@ -267,7 +270,8 @@ impl MemoryPool for DynamicLimitPool { // Charge the exemption budget only now that the grow succeeded; // released saturating in `shrink`. if exempted { - self.exempt_outstanding.fetch_add(additional, Ordering::Relaxed); + self.exempt_outstanding + .fetch_add(additional, Ordering::Relaxed); } return Ok(()); } @@ -284,13 +288,19 @@ impl MemoryPool for DynamicLimitPool { let used = self.used.load(Ordering::Relaxed); // Only attempt override if the allocation is plausible (won't overflow). if used.checked_add(additional).is_some() { - if crate::memory_guard::should_override(limit, crate::memory_guard::OverrideContext::Execution) { + if crate::memory_guard::should_override( + limit, + crate::memory_guard::OverrideContext::Execution, + ) { // jemalloc confirms headroom — allow the grow - let _ = self.used.fetch_update(Ordering::Relaxed, Ordering::Relaxed, |u| { - u.checked_add(additional) - }); + let _ = self + .used + .fetch_update(Ordering::Relaxed, Ordering::Relaxed, |u| { + u.checked_add(additional) + }); if exempted { - self.exempt_outstanding.fetch_add(additional, Ordering::Relaxed); + self.exempt_outstanding + .fetch_add(additional, Ordering::Relaxed); } return Ok(()); } @@ -481,9 +491,9 @@ mod tests { break; } if handle.limit() >= 2048 { - reservation - .try_grow(2048) - .expect("once handle.limit() reflects the raise, try_grow must succeed"); + reservation.try_grow(2048).expect( + "once handle.limit() reflects the raise, try_grow must succeed", + ); break; } std::hint::spin_loop(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs index 76c15ef8af08f..75fc362872a47 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/memory_guard.rs @@ -58,7 +58,10 @@ pub fn cached_resident_bytes() -> i64 { let now_ms = base.elapsed().as_millis() as u64; let last = LAST_CHECK_MS.load(Ordering::Relaxed); if now_ms.wrapping_sub(last) >= RESIDENT_CACHE_INTERVAL_MS { - if LAST_CHECK_MS.compare_exchange(last, now_ms, Ordering::Relaxed, Ordering::Relaxed).is_ok() { + if LAST_CHECK_MS + .compare_exchange(last, now_ms, Ordering::Relaxed, Ordering::Relaxed) + .is_ok() + { let r = native_bridge_common::allocator::resident_bytes(); CACHED_RESIDENT.store(r, Ordering::Relaxed); return r; @@ -192,7 +195,9 @@ pub fn should_cancel_query(pool_limit_bytes: usize) -> bool { if resident <= 0 { return false; } - let critical_bytes = (pool_limit_bytes as u64).saturating_mul(EXECUTION_CRITICAL_X1000.load(Ordering::Acquire)) / 1000; + let critical_bytes = (pool_limit_bytes as u64) + .saturating_mul(EXECUTION_CRITICAL_X1000.load(Ordering::Acquire)) + / 1000; resident >= critical_bytes as i64 } @@ -329,7 +334,8 @@ pub fn per_query_spill_budget() -> SpillBudget { let fraction_x1000 = DISK_FRACTION_X1000.load(Ordering::Acquire); let budget = available * fraction_x1000 / 1000; - if budget < 64 * 1024 * 1024 { // 64MB minimum viable spill + if budget < 64 * 1024 * 1024 { + // 64MB minimum viable spill log::warn!( "[disk-pressure] Spill budget too low: {} MB (available={} MB)", budget / (1024 * 1024), @@ -376,7 +382,8 @@ mod tests { #[test] fn set_and_get_thresholds() { set_thresholds(MemoryThresholds { - admission_throttle: 0.60, admission_reject: 0.80, + admission_throttle: 0.60, + admission_reject: 0.80, execution_spill: 0.90, execution_critical: 0.97, }); @@ -432,7 +439,10 @@ mod tests { return; // jemalloc not active in this test env (CI) } let result = should_override(large_pool, OverrideContext::Execution); - assert!(result, "With 1TB pool limit, resident should be well below threshold — override should fire"); + assert!( + result, + "With 1TB pool limit, resident should be well below threshold — override should fire" + ); } #[test] @@ -467,7 +477,11 @@ mod tests { fn cached_resident_bytes_returns_non_negative() { // Returns > 0 when jemalloc is active, 0 when not (CI may not link jemalloc) let resident = cached_resident_bytes(); - assert!(resident >= 0, "cached_resident_bytes() should never return negative, got {}", resident); + assert!( + resident >= 0, + "cached_resident_bytes() should never return negative, got {}", + resident + ); } #[test] @@ -540,8 +554,14 @@ mod tests { let spill_result = should_override(pool_at_midpoint, OverrideContext::Execution); // admission: resident (77%) >= threshold (70%) → NOT below → override = false - assert!(!admission_result, "At 77% RSS, admission override should NOT fire (threshold 70%)"); + assert!( + !admission_result, + "At 77% RSS, admission override should NOT fire (threshold 70%)" + ); // operator: resident (77%) < threshold (85%) → below → override = true - assert!(spill_result, "At 77% RSS, spill override SHOULD fire (threshold 85%)"); + assert!( + spill_result, + "At 77% RSS, spill override SHOULD fire (threshold 85%)" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/partition_stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/partition_stream.rs index ada38fa122b7b..a23db893d1489 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/partition_stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/partition_stream.rs @@ -291,9 +291,11 @@ mod tests { let (sender, receiver) = channel(Arc::clone(&schema)); drop(receiver); - let outcome = std::thread::spawn(move || sender.send_blocking(Ok(test_batch(&schema, &[1])), &handle)) - .join() - .unwrap(); + let outcome = std::thread::spawn(move || { + sender.send_blocking(Ok(test_batch(&schema, &[1])), &handle) + }) + .join() + .unwrap(); assert!(matches!(outcome, SendOutcome::ReceiverDropped)); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/brain.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/brain.rs index c4a0ac4526ef2..b61f9d9b5d0d8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/brain.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/brain.rs @@ -189,8 +189,10 @@ impl BrainLogParser { // none, the first element. sorted_word_combinations.sort(); - let candidate = Self::find_candidate(&sorted_word_combinations, self.threshold_percentage); - let group_candidate_str = format!("{},{}", candidate.word_freq, candidate.same_freq_count); + let candidate = + Self::find_candidate(&sorted_word_combinations, self.threshold_percentage); + let group_candidate_str = + format!("{},{}", candidate.word_freq, candidate.same_freq_count); // tokens.last() is the synthetic logId. let log_id = tokens @@ -227,7 +229,10 @@ impl BrainLogParser { /// list and pick the FIRST entry whose `word_freq > maxFreq * threshold%`. /// If none qualify, return the first entry. Mirrors `findCandidate`. fn find_candidate(sorted: &[WordCombination], threshold_percentage: f64) -> WordCombination { - assert!(!sorted.is_empty(), "Sorted word combinations must be non-empty"); + assert!( + !sorted.is_empty(), + "Sorted word combinations must be non-empty" + ); let max_freq = sorted.iter().map(|w| w.word_freq).max().unwrap_or(0); let threshold = (max_freq as f64) * threshold_percentage; for w in sorted { @@ -416,10 +421,7 @@ mod tests { #[test] fn collapse_passes_through_when_no_wildcards() { - assert_eq!( - collapse_continuous_wildcards("hello world"), - "hello world" - ); + assert_eq!(collapse_continuous_wildcards("hello world"), "hello world"); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/eval.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/eval.rs index feb6498a851b6..2c15c34595cb8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/eval.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/eval.rs @@ -88,14 +88,24 @@ pub struct AggCandidate { /// Used by PPL's BRAIN label mode: the window function emits one /// `(pattern, count, samples)` map per row, and this scalar UDF picks the /// best-fit pattern for the original field value. -pub fn eval_agg(field: &str, agg_object: &[AggCandidate], show_numbered_token: bool) -> PatternResult { +pub fn eval_agg( + field: &str, + agg_object: &[AggCandidate], + show_numbered_token: bool, +) -> PatternResult { if field.trim().is_empty() || agg_object.is_empty() { return PatternResult::empty(); } let preprocessed_tokens = preprocess(field, default_filter_patterns(), default_delimiters()); let candidates: Vec> = agg_object .iter() - .map(|entry| entry.pattern.split(' ').map(String::from).collect::>()) + .map(|entry| { + entry + .pattern + .split(' ') + .map(String::from) + .collect::>() + }) .filter(|split| split.len() == preprocessed_tokens.len()) .collect(); let best = find_best_candidate(&candidates, &preprocessed_tokens); @@ -162,9 +172,18 @@ mod tests { // tokens = {token1: [amberduke], token2: [pyrami], token3: [com]}. let result = eval_field("<*>@<*>.<*>", "amberduke@pyrami.com"); assert_eq!(result.pattern, "@."); - assert_eq!(result.tokens.get("").unwrap(), &vec!["amberduke".to_string()]); - assert_eq!(result.tokens.get("").unwrap(), &vec!["pyrami".to_string()]); - assert_eq!(result.tokens.get("").unwrap(), &vec!["com".to_string()]); + assert_eq!( + result.tokens.get("").unwrap(), + &vec!["amberduke".to_string()] + ); + assert_eq!( + result.tokens.get("").unwrap(), + &vec!["pyrami".to_string()] + ); + assert_eq!( + result.tokens.get("").unwrap(), + &vec!["com".to_string()] + ); } #[test] @@ -252,8 +271,14 @@ mod tests { &candidates, true, ); - assert_eq!(result.pattern, "Verification succeeded blk_"); - assert_eq!(result.tokens.get("").unwrap(), &vec!["for".to_string()]); + assert_eq!( + result.pattern, + "Verification succeeded blk_" + ); + assert_eq!( + result.tokens.get("").unwrap(), + &vec!["for".to_string()] + ); // The blk_<*> preprocessing replaces -1547954353065580372 with <*> in // the input, so 's extracted value in this layer is the // preprocessed wildcard rather than the raw number. The exact value @@ -284,7 +309,10 @@ mod tests { &candidates, false, ); - assert_eq!(result.pattern, "Verification succeeded blk_"); + assert_eq!( + result.pattern, + "Verification succeeded blk_" + ); assert!( result.tokens.is_empty(), "show_numbered_token=false must produce empty tokens map, got {:?}", diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/preprocess.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/preprocess.rs index 96f051d9e4611..caba96555b096 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/preprocess.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/preprocess.rs @@ -249,9 +249,8 @@ mod tests { #[test] fn preprocess_substitutes_uuid() { - let tokens = pp( - "[PlaceOrder] user_id=d664d7be-77d8-11f0-8880-0242f00b101d user_currency=USD", - ); + let tokens = + pp("[PlaceOrder] user_id=d664d7be-77d8-11f0-8880-0242f00b101d user_currency=USD"); // testBrainParseWithUUID_NotShowNumberedToken expects: // "[PlaceOrder] user_id=<*UUID*> user_currency=USD" assert_eq!( @@ -265,11 +264,9 @@ mod tests { // From testBrainLabelMode_NotShowNumberedToken second row, the // task_id like `_task_200811092030_0002_r_000296_0/part-00296.` should // see every number-segment between underscores substituted to `<*>`. - let tokens = pp( - "BLOCK* NameSystem.allocateBlock: \ + let tokens = pp("BLOCK* NameSystem.allocateBlock: \ /user/root/sortrand/_temporary/_task_200811092030_0002_r_000296_0/part-00296. \ - blk_-6620182933895093708", - ); + blk_-6620182933895093708"); // Just sanity-check that the multi-digit numbers got substituted somewhere. let joined = tokens.join(" "); assert!( diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/utils.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/utils.rs index c33bf0aff58a5..8bb372d653167 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/utils.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/patterns/utils.rs @@ -21,15 +21,13 @@ use regex::Regex; /// Regex matching wildcard placeholders of the form `<* …>`. Mirrors Java's /// `PatternUtils.WILDCARD_PATTERN = Pattern.compile("<\\*[^>]*>")`. Examples /// it matches: `<*>`, `<*IP*>`, `<*UUID*>`, `<*DATETIME*>`. -pub static WILDCARD_PATTERN: Lazy = Lazy::new(|| { - Regex::new(r"<\*[^>]*>").expect("WILDCARD_PATTERN regex is well-formed") -}); +pub static WILDCARD_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"<\*[^>]*>").expect("WILDCARD_PATTERN regex is well-formed")); /// Regex matching numbered token placeholders like ``, ``. /// Mirrors Java's `PatternUtils.TOKEN_PATTERN = Pattern.compile("")`. -pub static TOKEN_PATTERN: Lazy = Lazy::new(|| { - Regex::new(r"").expect("TOKEN_PATTERN regex is well-formed") -}); +pub static TOKEN_PATTERN: Lazy = + Lazy::new(|| Regex::new(r"").expect("TOKEN_PATTERN regex is well-formed")); /// The wildcard-style prefix used when generating numbered-token labels from /// wildcards. Matches Java's `PatternUtils.WILDCARD_PREFIX = "<*"`. @@ -203,10 +201,7 @@ mod tests { let parsed = parse_pattern("<*>@<*>.<*>", &WILDCARD_PATTERN); assert_eq!(parsed.parts, vec!["<*>", "@", "<*>", ".", "<*>"]); assert_eq!(parsed.is_token, vec![true, false, true, false, true]); - assert_eq!( - parsed.token_order, - vec!["", "", ""] - ); + assert_eq!(parsed.token_order, vec!["", "", ""]); } #[test] @@ -222,7 +217,12 @@ mod tests { fn extract_variables_extracts_email_parts() { let parsed = parse_pattern("<*>@<*>.<*>", &WILDCARD_PATTERN); let mut tokens = TokensMap::new(); - extract_variables(&parsed, "amberduke@pyrami.com", &mut tokens, WILDCARD_PREFIX); + extract_variables( + &parsed, + "amberduke@pyrami.com", + &mut tokens, + WILDCARD_PREFIX, + ); assert_eq!(tokens.get(""), Some(&vec!["amberduke".to_string()])); assert_eq!(tokens.get(""), Some(&vec!["pyrami".to_string()])); assert_eq!(tokens.get(""), Some(&vec!["com".to_string()])); @@ -264,7 +264,12 @@ mod tests { let parsed = parse_pattern("<*>@<*>", &WILDCARD_PATTERN); let mut tokens = TokensMap::new(); // No '@' in original — extraction must bail without inserting partial values. - extract_variables(&parsed, "amberduke.pyrami.com", &mut tokens, WILDCARD_PREFIX); + extract_variables( + &parsed, + "amberduke.pyrami.com", + &mut tokens, + WILDCARD_PREFIX, + ); assert!(tokens.is_empty(), "expected no tokens, got {:?}", tokens); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/phantom_corrector.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/phantom_corrector.rs index 063de03ee4c61..99faa637c41c6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/phantom_corrector.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/phantom_corrector.rs @@ -131,7 +131,8 @@ impl PhantomCorrector { if diff.abs() > threshold { self.pending_delta.fetch_add(diff, Ordering::Relaxed); - self.current_phantom_bytes.fetch_add(diff, Ordering::Relaxed); + self.current_phantom_bytes + .fetch_add(diff, Ordering::Relaxed); } } @@ -266,7 +267,8 @@ mod tests { let pipeline_slots = 13; let initial_phantom = measured_batch * pipeline_slots; - let c = PhantomCorrector::new_from_metadata(initial_phantom, measured_batch, pipeline_slots); + let c = + PhantomCorrector::new_from_metadata(initial_phantom, measured_batch, pipeline_slots); let mut phantom = initial_phantom as i64; for _ in 0..20 { @@ -298,7 +300,7 @@ mod tests { #[test] fn initial_bloat_before_correction() { let estimated_batch = 100 * 8192; // schema-based (over-estimate) - let actual_batch = 40 * 8192; // actual (2.5x smaller) + let actual_batch = 40 * 8192; // actual (2.5x smaller) let pipeline_slots = 13; let initial_phantom = estimated_batch * pipeline_slots; @@ -320,7 +322,9 @@ mod tests { println!( "Initial bloat: {:.2}x (corrects after {} batches = {} rows)", - initial_bloat, first_correction_at, first_correction_at * 8192 + initial_bloat, + first_correction_at, + first_correction_at * 8192 ); // First correction should fire within 4-8 batches (warmup + interval) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_analyzer.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_analyzer.rs index a712ac09caa88..3922c8a11685f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_analyzer.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_analyzer.rs @@ -40,95 +40,90 @@ impl ProjectRowIdAnalyzer { impl AnalyzerRule for ProjectRowIdAnalyzer { fn analyze(&self, plan: LogicalPlan, _config: &ConfigOptions) -> Result { - let rewritten = plan.transform_up(|node| { - match &node { - LogicalPlan::TableScan(scan) => { - let mut proj = scan.projection.clone().unwrap_or_else(|| { - (0..scan.projected_schema.fields().len()).collect() - }); - - let mut new_projected_schema = (*scan.projected_schema).clone(); - - if scan.source.schema().index_of(ROW_ID_FIELD_NAME).is_ok() { - let row_id_idx = - scan.source.schema().index_of(ROW_ID_FIELD_NAME).unwrap(); - - if !proj.contains(&row_id_idx) { - proj.push(row_id_idx); - - let qualifier = scan - .projected_schema - .qualified_field(0) - .0 - .cloned(); - - if let Some(q) = qualifier { - let row_id_schema = DFSchema::try_from_qualified_schema( - q, - &Schema::new(vec![Field::new( - ROW_ID_FIELD_NAME, - DataType::Int64, - false, - )]), - )?; - new_projected_schema = new_projected_schema - .join(&row_id_schema) - .map_err(|e| { - datafusion::error::DataFusionError::Internal(format!( - "ProjectRowIdAnalyzer: join schema: {}", - e - )) - })?; - } + let rewritten = plan.transform_up(|node| match &node { + LogicalPlan::TableScan(scan) => { + let mut proj = scan + .projection + .clone() + .unwrap_or_else(|| (0..scan.projected_schema.fields().len()).collect()); + + let mut new_projected_schema = (*scan.projected_schema).clone(); + + if scan.source.schema().index_of(ROW_ID_FIELD_NAME).is_ok() { + let row_id_idx = scan.source.schema().index_of(ROW_ID_FIELD_NAME).unwrap(); + + if !proj.contains(&row_id_idx) { + proj.push(row_id_idx); + + let qualifier = scan.projected_schema.qualified_field(0).0.cloned(); + + if let Some(q) = qualifier { + let row_id_schema = DFSchema::try_from_qualified_schema( + q, + &Schema::new(vec![Field::new( + ROW_ID_FIELD_NAME, + DataType::Int64, + false, + )]), + )?; + new_projected_schema = + new_projected_schema.join(&row_id_schema).map_err(|e| { + datafusion::error::DataFusionError::Internal(format!( + "ProjectRowIdAnalyzer: join schema: {}", + e + )) + })?; } } - - let new_scan = LogicalPlan::TableScan(datafusion_expr::TableScan { - table_name: scan.table_name.clone(), - source: scan.source.clone(), - projection: Some(proj), - projected_schema: Arc::new(new_projected_schema), - filters: scan.filters.clone(), - fetch: scan.fetch, - }); - Ok(Transformed::yes(new_scan)) } - LogicalPlan::Projection(p) => { - let already_has_row_id = p.expr.iter().any(|e| { - matches!(e, Expr::Column(c) if c.name == ROW_ID_FIELD_NAME) - }); - let input_has_row_id = p - .input - .schema() - .index_of_column(&Column::from_name(ROW_ID_FIELD_NAME)) - .is_ok(); - - if !already_has_row_id && input_has_row_id { - let mut new_exprs = p.expr.to_vec(); - new_exprs.push(col(ROW_ID_FIELD_NAME)); - - let row_id_schema = { - let qualifier = p.schema.qualified_field(0).0.cloned(); - match qualifier { - Some(q) => DFSchema::try_from_qualified_schema( - q, - &Schema::new(vec![Field::new( - ROW_ID_FIELD_NAME, - DataType::Int64, - false, - )]), - )?, - None => DFSchema::try_from(Schema::new(vec![Field::new( + let new_scan = LogicalPlan::TableScan(datafusion_expr::TableScan { + table_name: scan.table_name.clone(), + source: scan.source.clone(), + projection: Some(proj), + projected_schema: Arc::new(new_projected_schema), + filters: scan.filters.clone(), + fetch: scan.fetch, + }); + Ok(Transformed::yes(new_scan)) + } + + LogicalPlan::Projection(p) => { + let already_has_row_id = p + .expr + .iter() + .any(|e| matches!(e, Expr::Column(c) if c.name == ROW_ID_FIELD_NAME)); + let input_has_row_id = p + .input + .schema() + .index_of_column(&Column::from_name(ROW_ID_FIELD_NAME)) + .is_ok(); + + if !already_has_row_id && input_has_row_id { + let mut new_exprs = p.expr.to_vec(); + new_exprs.push(col(ROW_ID_FIELD_NAME)); + + let row_id_schema = { + let qualifier = p.schema.qualified_field(0).0.cloned(); + match qualifier { + Some(q) => DFSchema::try_from_qualified_schema( + q, + &Schema::new(vec![Field::new( ROW_ID_FIELD_NAME, DataType::Int64, false, - )]))?, - } - }; + )]), + )?, + None => DFSchema::try_from(Schema::new(vec![Field::new( + ROW_ID_FIELD_NAME, + DataType::Int64, + false, + )]))?, + } + }; - let merged_schema = if p - .schema + let merged_schema = + if p.schema .index_of_column(&Column::from_name(ROW_ID_FIELD_NAME)) .is_ok() { @@ -144,26 +139,21 @@ impl AnalyzerRule for ProjectRowIdAnalyzer { )?) }; - let new_proj = LogicalPlan::Projection( - Projection::try_new_with_schema( - new_exprs, - p.input.clone(), - merged_schema, - ) + let new_proj = LogicalPlan::Projection( + Projection::try_new_with_schema(new_exprs, p.input.clone(), merged_schema) .map_err(|e| { datafusion::error::DataFusionError::Internal(format!( "ProjectRowIdAnalyzer: create projection: {}", e )) })?, - ); - return Ok(Transformed::yes(new_proj)); - } - Ok(Transformed::no(node)) + ); + return Ok(Transformed::yes(new_proj)); } - - _ => Ok(Transformed::no(node)), + Ok(Transformed::no(node)) } + + _ => Ok(Transformed::no(node)), })?; Ok(rewritten.data) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_optimizer.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_optimizer.rs index 1ddcf4aee4ab9..911a4b1761b13 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_optimizer.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/project_row_id_optimizer.rs @@ -97,18 +97,18 @@ impl PhysicalOptimizerRule for ProjectRowIdOptimizer { new_proj_indices.push(row_base_partition_idx); // Rebuild the DataSourceExec with new projections - let new_table_schema = TableSchema::new( - file_schema.clone(), - partition_cols.clone(), - ); + let new_table_schema = TableSchema::new(file_schema.clone(), partition_cols.clone()); let new_source = Arc::new(ParquetSource::new(new_table_schema)); let new_config = FileScanConfigBuilder::from(file_scan_config.clone()) .with_source(new_source) .with_projection_indices(Some(new_proj_indices)) - .map_err(|e| datafusion::error::DataFusionError::Internal( - format!("ProjectRowIdOptimizer: set projection: {}", e) - ))? + .map_err(|e| { + datafusion::error::DataFusionError::Internal(format!( + "ProjectRowIdOptimizer: set projection: {}", + e + )) + })? .build(); let new_datasource: Arc = @@ -132,10 +132,8 @@ impl PhysicalOptimizerRule for ProjectRowIdOptimizer { } else if field.name() == ROW_BASE_FIELD_NAME { continue; // drop from output } else { - projection_exprs.push(( - Arc::new(Column::new(field.name(), i)), - field.name().clone(), - )); + projection_exprs + .push((Arc::new(Column::new(field.name(), i)), field.name().clone())); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_budget.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_budget.rs index fbe652dc240a2..33f4f84f4fa45 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_budget.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_budget.rs @@ -67,12 +67,14 @@ //! memory allows, reduced parallelism under pressure, rejection only at //! extreme saturation. -use std::sync::Arc; use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering}; +use std::sync::Arc; use datafusion::arrow::datatypes::{DataType, SchemaRef}; use datafusion::common::DataFusionError; -use datafusion::execution::memory_pool::{MemoryConsumer, MemoryLimit, MemoryPool, MemoryReservation}; +use datafusion::execution::memory_pool::{ + MemoryConsumer, MemoryLimit, MemoryPool, MemoryReservation, +}; use once_cell::sync::Lazy; use parquet::file::metadata::ParquetMetaData; @@ -110,7 +112,6 @@ pub fn get_min_target_partitions() -> usize { MIN_TARGET_PARTITIONS_SETTING.load(Ordering::Acquire) } - /// How many batch-sized buffers exist per partition in the pipeline. /// /// Derived from the execution pipeline: @@ -165,7 +166,13 @@ pub fn acquire_budget( configured_target_partitions: usize, configured_batch_size: usize, ) -> Result { - acquire_budget_with_projection(pool, schema, configured_target_partitions, configured_batch_size, None) + acquire_budget_with_projection( + pool, + schema, + configured_target_partitions, + configured_batch_size, + None, + ) } /// Acquire budget using measured row bytes from parquet metadata. @@ -185,7 +192,13 @@ pub fn acquire_budget_from_metadata( let avg_row_bytes = estimate_row_bytes_from_metadata(schema, metadata) .unwrap_or_else(|| estimate_avg_row_bytes(schema)); let num_columns = schema.fields().len(); - acquire_budget_inner(pool, avg_row_bytes, num_columns, configured_target_partitions, configured_batch_size) + acquire_budget_inner( + pool, + avg_row_bytes, + num_columns, + configured_target_partitions, + configured_batch_size, + ) } /// Same as [`acquire_budget`] but accepts an optional projection. @@ -204,7 +217,13 @@ pub fn acquire_budget_with_projection( Some(indices) => indices.len(), None => schema.fields().len(), }; - acquire_budget_inner(pool, avg_row_bytes, num_columns, configured_target_partitions, configured_batch_size) + acquire_budget_inner( + pool, + avg_row_bytes, + num_columns, + configured_target_partitions, + configured_batch_size, + ) } /// Core budget acquisition logic. All public entry points delegate here. @@ -254,14 +273,20 @@ fn acquire_budget_inner( ); ADAPTIVE_BUDGET.rejections.fetch_add(1, Ordering::Relaxed); return Err(crate::native_error::admission_rejected_error( - compute_untracked_bytes_with_columns(min_partitions, MIN_BATCH_SIZE, avg_row_bytes, num_columns), + compute_untracked_bytes_with_columns( + min_partitions, + MIN_BATCH_SIZE, + avg_row_bytes, + num_columns, + ), min_partitions, MIN_BATCH_SIZE, avg_row_bytes, )); } // RSS between admission (70%) and operator (85%) — reduce partitions - let admission_threshold_bytes = (limit as f64 * thresholds.admission_throttle) as i64; + let admission_threshold_bytes = + (limit as f64 * thresholds.admission_throttle) as i64; if resident >= admission_threshold_bytes { native_bridge_common::log_info!( "Admission: pool reserved={}B, RSS={}B >= admission threshold ({:.0}%) — reducing to min partitions={}", @@ -275,7 +300,10 @@ fn acquire_budget_inner( loop { let phantom_bytes = compute_untracked_bytes_with_columns( - target_partitions, batch_size, avg_row_bytes, num_columns, + target_partitions, + batch_size, + avg_row_bytes, + num_columns, ); let consumer = MemoryConsumer::new(format!( @@ -351,7 +379,6 @@ fn acquire_budget_inner( } } - /// Attempt to acquire or grow the coordinator-reduce session's phantom /// reservation based on a child input's schema. Compares the estimated /// untracked memory for this schema against the reservation already held @@ -370,13 +397,22 @@ pub fn try_grow_reduce_budget( let avg_row_bytes = estimate_avg_row_bytes(schema); let num_columns = schema.fields().len(); let needed = compute_untracked_bytes_with_columns( - configured_target_partitions, batch_size, avg_row_bytes, num_columns, + configured_target_partitions, + batch_size, + avg_row_bytes, + num_columns, ); if needed <= prior_partition_reservation_bytes { return Ok(None); } - acquire_budget_inner(pool, avg_row_bytes, num_columns, configured_target_partitions, batch_size) - .map(Some) + acquire_budget_inner( + pool, + avg_row_bytes, + num_columns, + configured_target_partitions, + batch_size, + ) + .map(Some) } /// Compute the untracked byte envelope for given parameters. @@ -396,8 +432,8 @@ fn compute_untracked_bytes_with_columns( num_columns: usize, ) -> usize { let batch_bytes = batch_size * avg_row_bytes; - let decode_overhead = PAGE_DECODE_BASE_OVERHEAD_BYTES - + num_columns * PER_COLUMN_DECODE_OVERHEAD_BYTES; + let decode_overhead = + PAGE_DECODE_BASE_OVERHEAD_BYTES + num_columns * PER_COLUMN_DECODE_OVERHEAD_BYTES; if target_partitions == 1 { // No CoalescePartitionsExec, no merge channel. Pipeline is: @@ -533,7 +569,10 @@ fn estimate_field_bytes(dt: &DataType) -> usize { 4 * estimate_field_bytes(inner.data_type()) } DataType::FixedSizeList(inner, n) => *n as usize * estimate_field_bytes(inner.data_type()), - DataType::Struct(fields) => fields.iter().map(|f| estimate_field_bytes(f.data_type())).sum(), + DataType::Struct(fields) => fields + .iter() + .map(|f| estimate_field_bytes(f.data_type())) + .sum(), DataType::Map(entry, _) => estimate_field_bytes(entry.data_type()) * 4, _ => 32, } @@ -549,7 +588,10 @@ fn pool_limit(pool: &Arc) -> Option { /// Delegates to the common memory guard for admission-level override check. fn jemalloc_says_headroom_available(pool_limit_bytes: usize) -> bool { - crate::memory_guard::should_override(pool_limit_bytes, crate::memory_guard::OverrideContext::Admission) + crate::memory_guard::should_override( + pool_limit_bytes, + crate::memory_guard::OverrideContext::Admission, + ) } #[cfg(test)] @@ -734,7 +776,12 @@ mod tests { fn try_grow_reduce_budget_skips_when_existing_covers() { let pool = test_pool(1_000_000_000); let schema = schema_of(vec![("a", DataType::Int64), ("b", DataType::Int64)]); - let needed = compute_untracked_bytes_with_columns(4, 8192, estimate_avg_row_bytes(&schema), schema.fields().len()); + let needed = compute_untracked_bytes_with_columns( + 4, + 8192, + estimate_avg_row_bytes(&schema), + schema.fields().len(), + ); // Existing reservation is larger — should return Ok(None) let result = try_grow_reduce_budget(&pool, &schema, 8192, 4, needed + 1).unwrap(); @@ -767,7 +814,11 @@ mod tests { let result = try_grow_reduce_budget(&pool, &schema, 8192, 4, 0).unwrap(); assert!(result.is_some()); let budget = result.unwrap(); - assert!(budget.target_partitions < 4, "expected partitions < 4, got {}", budget.target_partitions); + assert!( + budget.target_partitions < 4, + "expected partitions < 4, got {}", + budget.target_partitions + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs index d752370063a83..ba2c9da1114f7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_executor.rs @@ -8,20 +8,18 @@ use std::sync::Arc; -use native_bridge_common::log_debug; -use datafusion::{ - common::DataFusionError, - datasource::listing::ListingTableUrl, - execution::runtime_env::RuntimeEnvBuilder, - physical_plan::displayable, - physical_plan::execute_stream, -}; use datafusion::execution::cache::cache_manager::{CacheManagerConfig, CachedFileList}; use datafusion::execution::cache::{CacheAccessor, DefaultListFilesCache}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{col, lit}; +use datafusion::{ + common::DataFusionError, datasource::listing::ListingTableUrl, + execution::runtime_env::RuntimeEnvBuilder, physical_plan::displayable, + physical_plan::execute_stream, +}; use datafusion_substrait::logical_plan::consumer::from_substrait_plan; use log::error; +use native_bridge_common::log_debug; use object_store::ObjectMeta; use object_store::ObjectStore; use prost::Message; @@ -30,7 +28,9 @@ use substrait::proto::Plan; use crate::api::{DataFusionRuntime, ShardFileInfo}; use crate::cross_rt_stream::CrossRtStream; use crate::executor::DedicatedExecutor; -use crate::helper::{build_query_runtime_env_with_store, build_query_session_context, register_listing_table}; +use crate::helper::{ + build_query_runtime_env_with_store, build_query_session_context, register_listing_table, +}; use crate::session_context::SessionContextHandle; /// Execute a vanilla parquet query: substrait plan → DataFusion → CrossRtStream. @@ -146,9 +146,8 @@ async fn build_dataframe( } // Standard user-search flow: Substrait → logical plan → DataFrame. - let substrait_plan = Plan::decode(plan_bytes).map_err(|e| { - DataFusionError::Execution(format!("Failed to decode Substrait: {}", e)) - })?; + let substrait_plan = Plan::decode(plan_bytes) + .map_err(|e| DataFusionError::Execution(format!("Failed to decode Substrait: {}", e)))?; let logical_plan = from_substrait_plan(&ctx.state(), &substrait_plan).await?; ctx.execute_logical_plan(logical_plan).await } @@ -213,12 +212,20 @@ pub async fn execute_with_context( // and fall through to the standard decode + execute below. if let Some(prepared) = handle.prepared_plan.as_ref() { let physical_plan = std::sync::Arc::clone(prepared); - let df_stream = execute_stream(physical_plan.clone(), handle.ctx.task_ctx()).map_err(|e| { - error!("execute_with_context: failed to execute prepared plan: {}", e); - e - })?; + let df_stream = + execute_stream(physical_plan.clone(), handle.ctx.task_ctx()).map_err(|e| { + error!( + "execute_with_context: failed to execute prepared plan: {}", + e + ); + e + })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_executor.clone(), + None, + ); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } @@ -229,9 +236,13 @@ pub async fn execute_with_context( cross_rt_stream.schema(), cross_rt_stream, ); - return Ok::<(i64, Option>), DataFusionError>( - (Box::into_raw(Box::new(wrapped)) as i64, Some(physical_plan)), - ); + return Ok::< + ( + i64, + Option>, + ), + DataFusionError, + >((Box::into_raw(Box::new(wrapped)) as i64, Some(physical_plan))); } let substrait_plan = Plan::decode(plan_bytes).map_err(|e| { @@ -240,7 +251,10 @@ pub async fn execute_with_context( // Union schema widening was applied at table registration (session_context::widen_to_union_schema). let logical_plan = from_substrait_plan(&handle.ctx.state(), &substrait_plan).await?; - log_debug!("DataFusion logical plan:\n{}", logical_plan.display_indent()); + log_debug!( + "DataFusion logical plan:\n{}", + logical_plan.display_indent() + ); // Empty shard: skip physical planning (ParquetExec errors on zero files) // and emit an EmptyExec stream with the logical plan's output schema. @@ -249,8 +263,7 @@ pub async fn execute_with_context( use datafusion::physical_plan::ExecutionPlan; let plan_schema: arrow::datatypes::SchemaRef = Arc::new(logical_plan.schema().as_arrow().clone()); - let plan_schema = - crate::schema_coerce::coerce_inferred_schema(plan_schema); + let plan_schema = crate::schema_coerce::coerce_inferred_schema(plan_schema); let empty_exec = EmptyExec::new(Arc::clone(&plan_schema)); let df_stream = empty_exec.execute(0, handle.ctx.task_ctx()).map_err(|e| { error!("execute_with_context: failed to create empty stream: {}", e); @@ -258,7 +271,11 @@ pub async fn execute_with_context( })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_executor.clone(), + None, + ); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); } @@ -269,7 +286,13 @@ pub async fn execute_with_context( cross_rt_stream.schema(), cross_rt_stream, ); - return Ok::<(i64, Option>), DataFusionError>((Box::into_raw(Box::new(wrapped)) as i64, None)); + return Ok::< + ( + i64, + Option>, + ), + DataFusionError, + >((Box::into_raw(Box::new(wrapped)) as i64, None)); } let dataframe = handle.ctx.execute_logical_plan(logical_plan).await?; @@ -278,16 +301,25 @@ pub async fn execute_with_context( let physical_plan = dataframe.create_physical_plan().await?; let target_schema = crate::schema_coerce::coerce_inferred_schema(physical_plan.schema()); - let physical_plan = crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; - log_debug!("DataFusion physical plan:\n{}", displayable(physical_plan.as_ref()).indent(true)); + let physical_plan = + crate::relabel_exec::wrap_if_relabel_needed(physical_plan, target_schema)?; + log_debug!( + "DataFusion physical plan:\n{}", + displayable(physical_plan.as_ref()).indent(true) + ); - let df_stream = execute_stream(physical_plan.clone(), handle.ctx.task_ctx()).map_err(|e| { - error!("execute_with_context: failed to create stream: {}", e); - e - })?; + let df_stream = + execute_stream(physical_plan.clone(), handle.ctx.task_ctx()).map_err(|e| { + error!("execute_with_context: failed to create stream: {}", e); + e + })?; let (cross_rt_stream, abort_handle, _task_done) = - CrossRtStream::new_with_df_error_stream_cancellable(df_stream, cpu_executor.clone(), None); + CrossRtStream::new_with_df_error_stream_cancellable( + df_stream, + cpu_executor.clone(), + None, + ); if let Some(h) = abort_handle { crate::query_tracker::set_abort_handle(context_id, h); @@ -301,20 +333,43 @@ pub async fn execute_with_context( cross_rt_stream, ); - Ok::<(i64, Option>), DataFusionError>((Box::into_raw(Box::new(wrapped)) as i64, Some(physical_plan))) + Ok::< + ( + i64, + Option>, + ), + DataFusionError, + >((Box::into_raw(Box::new(wrapped)) as i64, Some(physical_plan))) }; - let (stream_ptr, physical_plan) = crate::cancellation::cancellable(token.as_ref(), context_id, query_future) - .await - .map_err(|e| DataFusionError::Execution(e))?; + let (stream_ptr, physical_plan) = + crate::cancellation::cancellable(token.as_ref(), context_id, query_future) + .await + .map_err(|e| DataFusionError::Execution(e))?; // Reconstruct the stream from the raw pointer - let stream = unsafe { *Box::from_raw(stream_ptr as *mut datafusion::physical_plan::stream::RecordBatchStreamAdapter) }; + let stream = unsafe { + *Box::from_raw( + stream_ptr + as *mut datafusion::physical_plan::stream::RecordBatchStreamAdapter, + ) + }; // Permit is held until the QueryStreamHandle is dropped (query complete). // If cancellation fires → stream drops → handle drops → permit drops → gate releases. let stream_handle = match physical_plan { - Some(plan) => crate::api::QueryStreamHandle::with_physical_plan(stream, handle.query_context, handle.ctx, Some(permit), plan), - None => crate::api::QueryStreamHandle::with_session_context(stream, handle.query_context, handle.ctx, Some(permit)), + Some(plan) => crate::api::QueryStreamHandle::with_physical_plan( + stream, + handle.query_context, + handle.ctx, + Some(permit), + plan, + ), + None => crate::api::QueryStreamHandle::with_session_context( + stream, + handle.query_context, + handle.ctx, + Some(permit), + ), }; Ok(Box::into_raw(Box::new(stream_handle)) as i64) } @@ -330,7 +385,9 @@ pub fn query_runtime_env_builder( list_file_cache: Arc, ) -> RuntimeEnvBuilder { RuntimeEnvBuilder::from_runtime_env(&runtime.runtime_env) - .with_object_store_registry(Arc::new(datafusion::execution::object_store::DefaultObjectStoreRegistry::new())) + .with_object_store_registry(Arc::new( + datafusion::execution::object_store::DefaultObjectStoreRegistry::new(), + )) .with_cache_manager( CacheManagerConfig::default() .with_list_files_cache(Some(list_file_cache)) @@ -358,7 +415,10 @@ pub fn build_query_runtime_env( table: None, path: table_path.prefix().clone(), }; - list_file_cache.put(&table_scoped_path, CachedFileList::new(object_metas.to_vec())); + list_file_cache.put( + &table_scoped_path, + CachedFileList::new(object_metas.to_vec()), + ); let runtime_env = query_runtime_env_builder(runtime, list_file_cache).build()?; Ok(Arc::from(runtime_env)) @@ -374,8 +434,10 @@ pub async fn build_shard_file_infos( let mut cumulative_rows: i64 = 0; for meta in object_metas { let reader = datafusion::parquet::arrow::async_reader::ParquetObjectReader::new( - Arc::clone(store), meta.location.clone(), - ).with_file_size(meta.size); + Arc::clone(store), + meta.location.clone(), + ) + .with_file_size(meta.size); let builder = datafusion::parquet::arrow::ParquetRecordBatchStreamBuilder::new(reader) .await .map_err(|e| DataFusionError::Execution(format!("parquet metadata: {}", e)))?; @@ -399,13 +461,17 @@ pub async fn build_shard_file_infos( } /// Parse a ListingTableUrl into an ObjectStoreUrl (scheme + authority). -pub fn store_url_from_table_path(table_path: &ListingTableUrl) -> Result { +pub fn store_url_from_table_path( + table_path: &ListingTableUrl, +) -> Result { let url_str = table_path.as_str(); let parsed = url::Url::parse(url_str) .map_err(|e| DataFusionError::Execution(format!("parse URL: {}", e)))?; - datafusion::execution::object_store::ObjectStoreUrl::parse( - format!("{}://{}", parsed.scheme(), parsed.authority()), - ) + datafusion::execution::object_store::ObjectStoreUrl::parse(format!( + "{}://{}", + parsed.scheme(), + parsed.authority() + )) } /// Wrap a DataFusion stream in CrossRtStream and package as a QueryStreamHandle pointer. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs index 86534209dd2ad..672ac1dcdfad5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/query_tracker.rs @@ -388,7 +388,10 @@ pub fn cancel_query(context_id: i64) { handle.abort(); } let nanos = PROCESS_START.elapsed().as_nanos() as u64; - tracker.cancelled_at_nanos.compare_exchange(0, nanos, Ordering::Release, Ordering::Relaxed).ok(); + tracker + .cancelled_at_nanos + .compare_exchange(0, nanos, Ordering::Release, Ordering::Relaxed) + .ok(); } } @@ -430,7 +433,8 @@ pub fn flush_cpu_runtime_with_handle(handle: &tokio::runtime::Handle, context_id if rx.recv_timeout(CANCEL_FLUSH_TIMEOUT).is_err() { warn!( "flush_cpu_runtime({}): timed out after {}ms", - context_id, CANCEL_FLUSH_TIMEOUT.as_millis() + context_id, + CANCEL_FLUSH_TIMEOUT.as_millis() ); break; } @@ -448,7 +452,9 @@ pub fn take_cpu_runtime_handle(context_id: i64) -> Option Option { - QUERY_REGISTRY.get(&context_id).map(|t| t.cancellation_token.clone()) + QUERY_REGISTRY + .get(&context_id) + .map(|t| t.cancellation_token.clone()) } /// Store the CPU task's AbortHandle for the given context_id. @@ -510,7 +516,11 @@ impl QueryTrackingContext { /// disabled and `memory_pool()` returns `None`. pub fn new(context_id: i64, global_pool: Arc, query_type: QueryType) -> Self { if context_id == 0 { - return Self { tracker: None, phantom_reservation: None, phantom_corrector: None }; + return Self { + tracker: None, + phantom_reservation: None, + phantom_corrector: None, + }; } let query_pool = Arc::new(QueryMemoryPool::new(global_pool)); let tracker = Arc::new(QueryTracker { @@ -550,10 +560,11 @@ impl QueryTrackingContext { /// Apply pending phantom correction from the self-correcting budget. pub fn apply_pending_phantom_correction(&mut self) { - let (corrector, reservation) = match (&self.phantom_corrector, &mut self.phantom_reservation) { - (Some(c), Some(r)) => (c, r), - _ => return, - }; + let (corrector, reservation) = + match (&self.phantom_corrector, &mut self.phantom_reservation) { + (Some(c), Some(r)) => (c, r), + _ => return, + }; let delta = corrector.take_pending_delta(); if delta == 0 { return; @@ -604,7 +615,8 @@ impl Drop for QueryTrackingContext { // If this query was cancelled and ran past the threshold, bump the total counter. let cancelled_nanos = tracker.cancelled_at_nanos.load(Ordering::Acquire); if cancelled_nanos > 0 { - let elapsed_since_cancel = PROCESS_START.elapsed().as_nanos() as u64 - cancelled_nanos; + let elapsed_since_cancel = + PROCESS_START.elapsed().as_nanos() as u64 - cancelled_nanos; if elapsed_since_cancel >= cancel_stats_threshold().as_nanos() as u64 { match tracker.query_type { QueryType::Shard => { @@ -886,11 +898,19 @@ mod tests { let ctx = QueryTrackingContext::new(ctx_id, global, QueryType::Shard); cancel_query(ctx_id); - let first = QUERY_REGISTRY.get(&ctx_id).unwrap().cancelled_at_nanos.load(Ordering::Relaxed); + let first = QUERY_REGISTRY + .get(&ctx_id) + .unwrap() + .cancelled_at_nanos + .load(Ordering::Relaxed); thread::sleep(Duration::from_millis(10)); cancel_query(ctx_id); - let second = QUERY_REGISTRY.get(&ctx_id).unwrap().cancelled_at_nanos.load(Ordering::Relaxed); + let second = QUERY_REGISTRY + .get(&ctx_id) + .unwrap() + .cancelled_at_nanos + .load(Ordering::Relaxed); // Second cancel should not overwrite the first timestamp assert_eq!(first, second); @@ -929,7 +949,8 @@ mod tests { let coord_id = 60_006; let shard_ctx = QueryTrackingContext::new(shard_id, Arc::clone(&global), QueryType::Shard); - let coord_ctx = QueryTrackingContext::new(coord_id, Arc::clone(&global), QueryType::Coordinator); + let coord_ctx = + QueryTrackingContext::new(coord_id, Arc::clone(&global), QueryType::Coordinator); cancel_query(shard_id); cancel_query(coord_id); @@ -949,7 +970,6 @@ mod tests { drop(coord_ctx); } - // ----------------------------------------------------------------------- // Flush-on-cancel tests // ----------------------------------------------------------------------- @@ -988,7 +1008,7 @@ mod tests { let (abort_handle, _join_fut) = exec.spawn_with_abort_handle(async move { let _hold = sentinel; // captured in the future's state - // Block forever — only abort can end this. + // Block forever — only abort can end this. futures::future::pending::<()>().await; }); @@ -1000,14 +1020,17 @@ mod tests { thread::sleep(Duration::from_millis(10)); // Verify not yet dropped - assert!(!dropped.load(Ordering::Acquire), "sentinel should be alive before cancel"); + assert!( + !dropped.load(Ordering::Acquire), + "sentinel should be alive before cancel" + ); // cancel_query aborts the task (marks it cancelled in the runtime) cancel_query(ctx_id); // The abort is async — the task future may not be dropped yet. // flush_cpu_runtime gives the runtime scheduling opportunities to - // process the abort and drop the future (freeing the sentinel). A single + // process the abort and drop the future (freeing the sentinel). A single // flush is best-effort: it spawns a fixed number of yield tasks and // returns once they finish, which under heavy parallel test load (a // CPU-starved CI box running 1000+ tests against a 2-worker runtime) can diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/relabel_exec.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/relabel_exec.rs index d2d69fba319cc..e8a1adf105738 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/relabel_exec.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/relabel_exec.rs @@ -113,7 +113,11 @@ impl ExecutionPlan for RelabelExec { Ok(Self::try_new(new_input, target_schema)? as Arc) } - fn execute(&self, partition: usize, context: Arc) -> Result { + fn execute( + &self, + partition: usize, + context: Arc, + ) -> Result { let input_stream = self.input.execute(partition, context)?; let target_schema = Arc::clone(&self.target_schema); let target_schema_for_stream = Arc::clone(&target_schema); @@ -121,7 +125,10 @@ impl ExecutionPlan for RelabelExec { let target = Arc::clone(&target_schema); async move { relabel_batch(&batch, &target) } }); - Ok(Box::pin(RecordBatchStreamAdapter::new(target_schema_for_stream, mapped))) + Ok(Box::pin(RecordBatchStreamAdapter::new( + target_schema_for_stream, + mapped, + ))) } } @@ -154,7 +161,9 @@ fn validate_bit_compatible(src_schema: &SchemaRef, target_schema: &SchemaRef) -> .zip(target_schema.fields().iter()) .enumerate() { - if src_f.data_type() != dst_f.data_type() && !is_bit_compatible(src_f.data_type(), dst_f.data_type()) { + if src_f.data_type() != dst_f.data_type() + && !is_bit_compatible(src_f.data_type(), dst_f.data_type()) + { return Err(DataFusionError::Internal(format!( "RelabelExec column {} ('{}') has non-bit-compatible types: {:?} → {:?} \ (use a LogicalPlan-level Cast for this conversion)", @@ -225,7 +234,8 @@ mod tests { #[test] fn relabel_uint64_to_int64_shares_buffer() { let src: ArrayRef = Arc::new(UInt64Array::from(vec![1u64, 2, 3])); - let target_schema: SchemaRef = Arc::new(Schema::new(vec![Field::new("x", DataType::Int64, true)])); + let target_schema: SchemaRef = + Arc::new(Schema::new(vec![Field::new("x", DataType::Int64, true)])); let batch = RecordBatch::try_new( Arc::new(Schema::new(vec![Field::new("x", DataType::UInt64, true)])), vec![src], @@ -241,7 +251,8 @@ mod tests { #[test] fn relabel_skips_no_op_when_schemas_match() { let src: ArrayRef = Arc::new(Int64Array::from(vec![10i64, 20])); - let same_schema: SchemaRef = Arc::new(Schema::new(vec![Field::new("y", DataType::Int64, false)])); + let same_schema: SchemaRef = + Arc::new(Schema::new(vec![Field::new("y", DataType::Int64, false)])); let batch = RecordBatch::try_new(Arc::clone(&same_schema), vec![Arc::clone(&src)]).unwrap(); let out = relabel_batch(&batch, &same_schema).unwrap(); // Same Arc — the no-op branch in relabel_batch is the test target. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs index 3749d58b3b451..9db08a7407391 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/runtime_manager.rs @@ -56,9 +56,7 @@ impl RuntimeManager { datanode_max_concurrent, ); - let cpu_monitor = cpu_executor - .handle() - .map(|h| RuntimeMonitor::new(&h)); + let cpu_monitor = cpu_executor.handle().map(|h| RuntimeMonitor::new(&h)); Self { io_runtime, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/schema_coerce.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/schema_coerce.rs index 77a23e25d659d..3fcb1c3704ca4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/schema_coerce.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/schema_coerce.rs @@ -102,11 +102,7 @@ pub fn coerce_inferred_schema(schema: SchemaRef) -> SchemaRef { if !schema_needs_coerce(&schema) { return schema; } - let rewritten_fields: Vec = schema - .fields() - .iter() - .map(|f| rewrite_field(f)) - .collect(); + let rewritten_fields: Vec = schema.fields().iter().map(|f| rewrite_field(f)).collect(); Arc::new(Schema::new_with_metadata( rewritten_fields, schema.metadata().clone(), @@ -114,7 +110,10 @@ pub fn coerce_inferred_schema(schema: SchemaRef) -> SchemaRef { } fn schema_needs_coerce(schema: &Schema) -> bool { - schema.fields().iter().any(|f| contains_incompatible(f.data_type())) + schema + .fields() + .iter() + .any(|f| contains_incompatible(f.data_type())) } fn contains_incompatible(dt: &DataType) -> bool { @@ -125,7 +124,9 @@ fn contains_incompatible(dt: &DataType) -> bool { } DataType::Map(f, _) => contains_incompatible(f.data_type()), DataType::Struct(fields) => fields.iter().any(|f| contains_incompatible(f.data_type())), - DataType::Union(fields, _) => fields.iter().any(|(_, f)| contains_incompatible(f.data_type())), + DataType::Union(fields, _) => fields + .iter() + .any(|(_, f)| contains_incompatible(f.data_type())), DataType::Dictionary(_, value_type) => contains_incompatible(value_type), _ => false, } @@ -133,8 +134,7 @@ fn contains_incompatible(dt: &DataType) -> bool { fn rewrite_field(field: &Field) -> Field { let new_type = rewrite_data_type(field.data_type()); - Field::new(field.name(), new_type, field.is_nullable()) - .with_metadata(field.metadata().clone()) + Field::new(field.name(), new_type, field.is_nullable()).with_metadata(field.metadata().clone()) } fn rewrite_data_type(dt: &DataType) -> DataType { @@ -169,16 +169,24 @@ pub fn append_missing_nullable(registered: &Schema, expected: &Schema) -> Option for ef in expected.fields() { if registered.field_with_name(ef.name()).is_err() { added.push( - Field::new(ef.name(), ef.data_type().clone(), true).with_metadata(ef.metadata().clone()), + Field::new(ef.name(), ef.data_type().clone(), true) + .with_metadata(ef.metadata().clone()), ); } } if added.is_empty() { return None; } - let mut fields: Vec = registered.fields().iter().map(|f| f.as_ref().clone()).collect(); + let mut fields: Vec = registered + .fields() + .iter() + .map(|f| f.as_ref().clone()) + .collect(); fields.extend(added); - Some(Arc::new(Schema::new_with_metadata(fields, registered.metadata().clone()))) + Some(Arc::new(Schema::new_with_metadata( + fields, + registered.metadata().clone(), + ))) } #[cfg(test)] @@ -199,7 +207,8 @@ mod tests { Field::new("alias", DataType::Utf8, false), ]); - let merged = append_missing_nullable(®istered, &expected).expect("alias missing → augmented"); + let merged = + append_missing_nullable(®istered, &expected).expect("alias missing → augmented"); assert_eq!(merged.fields().len(), 3); let alias = merged.field_with_name("alias").unwrap(); assert_eq!(alias.data_type(), &DataType::Utf8); @@ -249,15 +258,21 @@ mod tests { ])); let before = Arc::as_ptr(&schema); let out = coerce_inferred_schema(schema); - assert_eq!(Arc::as_ptr(&out), before, "unchanged schema must not reallocate"); + assert_eq!( + Arc::as_ptr(&out), + before, + "unchanged schema must not reallocate" + ); } #[test] fn nested_list_of_binary_view_gets_rewritten() { let inner = Field::new("item", DataType::BinaryView, true); - let schema = Arc::new(Schema::new(vec![ - Field::new("xs", DataType::List(Arc::new(inner)), true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "xs", + DataType::List(Arc::new(inner)), + true, + )])); let out = coerce_inferred_schema(schema); match out.field(0).data_type() { DataType::List(f) => assert_eq!(f.data_type(), &DataType::Binary), @@ -268,9 +283,11 @@ mod tests { #[test] fn nested_list_of_uint64_gets_rewritten() { let inner = Field::new("item", DataType::UInt64, true); - let schema = Arc::new(Schema::new(vec![ - Field::new("xs", DataType::List(Arc::new(inner)), true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "xs", + DataType::List(Arc::new(inner)), + true, + )])); let out = coerce_inferred_schema(schema); match out.field(0).data_type() { DataType::List(f) => assert_eq!(f.data_type(), &DataType::Int64), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs index dddcdbb767b6f..642cf6b32ca39 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_index_optimizer.rs @@ -67,7 +67,10 @@ pub struct ScopedPageIndexOptimizer { impl ScopedPageIndexOptimizer { pub fn new(store: Arc, metadata_cache: Arc) -> Self { - Self { store, metadata_cache } + Self { + store, + metadata_cache, + } } } @@ -134,13 +137,18 @@ impl PhysicalOptimizerRule for ScopedPageIndexOptimizer { // Only scope when there's something to scope to. A full-schema scan with no predicate // gains nothing from scoping — skip it. A None projection (read-all) or a projection // that already covers every column is not a strict subset. - let is_projected = !projection_names.is_empty() && projection_names.len() < num_file_cols; + let is_projected = + !projection_names.is_empty() && projection_names.len() < num_file_cols; if predicate_names.is_empty() && !is_projected { return Ok(Transformed::no(node)); } // Pass empty projection when the scan reads all columns — the factory // will build all-column OffsetIndex (existing behavior). - let projection_names = if is_projected { projection_names } else { Vec::new() }; + let projection_names = if is_projected { + projection_names + } else { + Vec::new() + }; // Build the scoped factory and reinstall the source. The predicate is // retained for parity but not used for RG scoping (Step 1 builds an @@ -176,6 +184,8 @@ impl PhysicalOptimizerRule for ScopedPageIndexOptimizer { #[cfg(test)] mod tests { use super::*; + use crate::cache::page_index; + use crate::parquet_page_cache::{clear_scoped_cache_for_test, scoped_cache_stats}; use arrow::datatypes::{DataType, Field, Schema}; use datafusion::execution::cache::DefaultFilesMetadataCache; use datafusion::execution::object_store::ObjectStoreUrl; @@ -184,8 +194,6 @@ mod tests { use datafusion::physical_expr::PhysicalExpr; use datafusion_datasource::table_schema::TableSchema; use object_store::memory::InMemory; - use crate::cache::page_index; - use crate::parquet_page_cache::{clear_scoped_cache_for_test, scoped_cache_stats}; fn schema() -> Arc { Arc::new(Schema::new(vec![ @@ -203,7 +211,8 @@ mod tests { fn datasource_exec(parquet: ParquetSource) -> Arc { let config = - FileScanConfigBuilder::new(ObjectStoreUrl::local_filesystem(), Arc::new(parquet)).build(); + FileScanConfigBuilder::new(ObjectStoreUrl::local_filesystem(), Arc::new(parquet)) + .build(); DataSourceExec::from_data_source(config) } @@ -221,10 +230,10 @@ mod tests { fn get_factory(plan: &Arc) -> Option { let dse = plan.downcast_ref::()?; - let cfg = (dse.data_source().as_ref() as &dyn std::any::Any) - .downcast_ref::()?; - let pq = (cfg.file_source().as_ref() as &dyn std::any::Any) - .downcast_ref::()?; + let cfg = + (dse.data_source().as_ref() as &dyn std::any::Any).downcast_ref::()?; + let pq = + (cfg.file_source().as_ref() as &dyn std::any::Any).downcast_ref::()?; Some(pq.parquet_file_reader_factory().is_some()) } @@ -234,7 +243,11 @@ mod tests { let (store, cache) = deps(); let parquet = parquet_for(&sch).with_predicate(predicate_on_a()); let plan = datasource_exec(parquet); - assert_eq!(get_factory(&plan), Some(false), "precondition: no factory yet"); + assert_eq!( + get_factory(&plan), + Some(false), + "precondition: no factory yet" + ); let rule = ScopedPageIndexOptimizer::new(store, cache); let out = rule.optimize(plan, &ConfigOptions::default()).unwrap(); @@ -274,12 +287,10 @@ mod tests { // Project only column `a` — no predicate. let parquet = parquet_for(&sch); - let config = FileScanConfigBuilder::new( - ObjectStoreUrl::local_filesystem(), - Arc::new(parquet), - ) - .with_projection(Some(vec![0])) // project `a` only - .build(); + let config = + FileScanConfigBuilder::new(ObjectStoreUrl::local_filesystem(), Arc::new(parquet)) + .with_projection(Some(vec![0])) // project `a` only + .build(); let plan = DataSourceExec::from_data_source(config); let rule = ScopedPageIndexOptimizer::new(store, cache); @@ -309,11 +320,21 @@ mod tests { .with_predicate(predicate_on_a()) .with_parquet_file_reader_factory(pre); let plan = datasource_exec(parquet); - assert_eq!(get_factory(&plan), Some(true), "precondition: a factory is present"); + assert_eq!( + get_factory(&plan), + Some(true), + "precondition: a factory is present" + ); let rule = ScopedPageIndexOptimizer::new(store, cache); - let out = rule.optimize(Arc::clone(&plan), &ConfigOptions::default()).unwrap(); - assert_eq!(get_factory(&out), Some(true), "scoped factory present after rule"); + let out = rule + .optimize(Arc::clone(&plan), &ConfigOptions::default()) + .unwrap(); + assert_eq!( + get_factory(&out), + Some(true), + "scoped factory present after rule" + ); assert!( !Arc::ptr_eq(&plan, &out), "rule must rewrite the scan to install the scoped factory, replacing the default" @@ -339,9 +360,7 @@ mod tests { use futures::StreamExt; // Serialize on the shared guard — this asserts on the global cache. - let _g = page_index::SCOPED_CACHE_TEST_GUARD - .lock() - .unwrap(); + let _g = page_index::SCOPED_CACHE_TEST_GUARD.lock().unwrap(); crate::cache::page_index::clear_scoped_cache_for_test(); let sch = Arc::new(Schema::new(vec![ @@ -353,8 +372,12 @@ mod tests { const ROWS: i32 = 4096; let n0: Vec = (0..ROWS).collect(); let n1: Vec = (0..ROWS).collect(); - let s0: Vec = (0..ROWS).map(|r| format!("s0_{r:06}_padding_padding")).collect(); - let s1: Vec = (0..ROWS).map(|r| format!("s1_{r:06}_padding_padding")).collect(); + let s0: Vec = (0..ROWS) + .map(|r| format!("s0_{r:06}_padding_padding")) + .collect(); + let s1: Vec = (0..ROWS) + .map(|r| format!("s1_{r:06}_padding_padding")) + .collect(); let batch = RecordBatch::try_new( sch.clone(), vec![ @@ -383,12 +406,16 @@ mod tests { let ctx = SessionContext::new(); let store: Arc = Arc::new(object_store::local::LocalFileSystem::new()); - let table_url = ListingTableUrl::parse(format!("file://{}", dir.to_str().unwrap())).unwrap(); + let table_url = + ListingTableUrl::parse(format!("file://{}", dir.to_str().unwrap())).unwrap(); ctx.register_object_store(table_url.as_ref(), Arc::clone(&store)); let listing_options = ListingOptions::new(Arc::new(ParquetFormat::new())) .with_file_extension(".parquet") .with_collect_stat(true); - let resolved = listing_options.infer_schema(&ctx.state(), &table_url).await.unwrap(); + let resolved = listing_options + .infer_schema(&ctx.state(), &table_url) + .await + .unwrap(); let config = ListingTableConfig::new(table_url.clone()) .with_listing_options(listing_options) .with_schema(resolved); @@ -417,7 +444,10 @@ mod tests { stats.entries >= 1 && stats.used_bytes > 0, "scoped cache must have filled on the listing path: {stats:?}" ); - assert!(stats.misses >= 1, "first scan must register a scoped-cache miss: {stats:?}"); + assert!( + stats.misses >= 1, + "first scan must register a scoped-cache miss: {stats:?}" + ); clear_scoped_cache_for_test(); let _ = std::fs::remove_dir_all(&dir); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs index d564b0ffac440..19d1c62a49ff7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/scoped_page_index_reader.rs @@ -60,7 +60,9 @@ use std::sync::Arc; use arrow::datatypes::SchemaRef; -use datafusion::datasource::physical_plan::parquet::{ParquetFileMetrics, ParquetFileReaderFactory}; +use datafusion::datasource::physical_plan::parquet::{ + ParquetFileMetrics, ParquetFileReaderFactory, +}; use datafusion::execution::cache::cache_manager::FileMetadataCache; use datafusion::parquet::arrow::arrow_reader::ArrowReaderOptions; use datafusion::parquet::arrow::async_reader::AsyncFileReader; @@ -74,7 +76,9 @@ use futures::FutureExt; use object_store::{ObjectStore, ObjectStoreExt}; use prost::bytes::Bytes; -use crate::cache::page_index::{load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair}; +use crate::cache::page_index::{ + load_scoped_page_index_cols, resolve_predicate_parquet_columns_pair, +}; use crate::indexed_table::parquet_bridge::load_parquet_metadata_with_meta; /// A [`ParquetFileReaderFactory`] that, on `get_metadata`, returns metadata whose @@ -170,7 +174,9 @@ impl AsyncFileReader for ScopedPageIndexReader { &mut self, range: std::ops::Range, ) -> BoxFuture<'_, datafusion::parquet::errors::Result> { - self.metrics.bytes_scanned.add((range.end - range.start) as usize); + self.metrics + .bytes_scanned + .add((range.end - range.start) as usize); let store = Arc::clone(&self.store); let location = self.location.clone(); // IO-runtime dispatch is handled by the store wrapper around the @@ -230,7 +236,10 @@ impl AsyncFileReader for ScopedPageIndexReader { // non-empty: a projection-only query still needs a scoped OffsetIndex. if !predicate_names.is_empty() || !projection_names.is_empty() { let (parquet_cols, offset_cols) = resolve_predicate_parquet_columns_pair( - &file_schema, &footer, &predicate_names, &projection_names, + &file_schema, + &footer, + &predicate_names, + &projection_names, ); if let Some(augmented) = load_scoped_page_index_cols( &store, @@ -301,7 +310,10 @@ mod tests { let size = bytes.len() as u64; let store: Arc = Arc::new(InMemory::new()); let loc = ObjPath::from("data.parquet"); - store.put(&loc, PutPayload::from_bytes(bytes)).await.unwrap(); + store + .put(&loc, PutPayload::from_bytes(bytes)) + .await + .unwrap(); (store, loc, size) } @@ -341,8 +353,12 @@ mod tests { let mut reader = factory.create_reader(0, pf, None, &m).unwrap(); let meta = reader.get_metadata(None).await.unwrap(); - let ci = meta.column_index().expect("augmented metadata has column index"); - let oi = meta.offset_index().expect("augmented metadata has offset index"); + let ci = meta + .column_index() + .expect("augmented metadata has column index"); + let oi = meta + .offset_index() + .expect("augmented metadata has offset index"); assert!( !matches!(ci[0][0], ColumnIndexMetaData::NONE), "predicate col (price) must have a real ColumnIndex" diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/search_stats.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/search_stats.rs index 29338097a598f..e0bdb6f116f16 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/search_stats.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/search_stats.rs @@ -212,7 +212,10 @@ mod tests { inc_bitmap_tree_scan(); let after = snapshot(); assert_eq!(after.listing_table_scan - before.listing_table_scan, 1); - assert_eq!(after.single_collector_scan - before.single_collector_scan, 2); + assert_eq!( + after.single_collector_scan - before.single_collector_scan, + 2 + ); assert_eq!(after.bitmap_tree_scan - before.bitmap_tree_scan, 1); } @@ -222,11 +225,13 @@ mod tests { let metrics_set = ExecutionPlanMetricsSet::new(); let pm = PartitionMetrics::new(&metrics_set, 0); - pm.elapsed_compute.add_duration(std::time::Duration::from_millis(50)); + pm.elapsed_compute + .add_duration(std::time::Duration::from_millis(50)); pm.ffm_collector_calls.add(3); pm.row_groups_processed.add(2); pm.row_groups_skipped.add(1); - pm.prefetch_wait_time.add_duration(std::time::Duration::from_millis(10)); + pm.prefetch_wait_time + .add_duration(std::time::Duration::from_millis(10)); pm.prefetch_wait_count.add(2); accumulate(&pm.into_stream_metrics(None)); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 30f637c759bba..58c37458a4332 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -13,7 +13,6 @@ use std::sync::Arc; -use native_bridge_common::log_debug; use datafusion::{ common::DataFusionError, datasource::file_format::parquet::ParquetFormat, @@ -28,6 +27,7 @@ use datafusion::{ prelude::*, }; use log::error; +use native_bridge_common::log_debug; use object_store::ObjectMeta; use crate::api::{DataFusionRuntime, ShardView}; @@ -97,7 +97,9 @@ pub(crate) fn widen_schema_from_plan( inferred: &arrow::datatypes::SchemaRef, ) -> arrow::datatypes::SchemaRef { use datafusion_substrait::extensions::Extensions; - use datafusion_substrait::logical_plan::consumer::{from_substrait_named_struct, DefaultSubstraitConsumer}; + use datafusion_substrait::logical_plan::consumer::{ + from_substrait_named_struct, DefaultSubstraitConsumer, + }; if plan_bytes.is_empty() { return Arc::clone(inferred); @@ -112,8 +114,11 @@ pub(crate) fn widen_schema_from_plan( }; // Cheap gate: if inferred already has every base_schema column, skip. - let have: std::collections::HashSet<&str> = - inferred.fields().iter().map(|f| f.name().as_str()).collect(); + let have: std::collections::HashSet<&str> = inferred + .fields() + .iter() + .map(|f| f.name().as_str()) + .collect(); if base_schema.names.iter().all(|n| have.contains(n.as_str())) { return Arc::clone(inferred); } @@ -130,7 +135,12 @@ pub(crate) fn widen_schema_from_plan( }; let expected = df_schema.as_arrow().clone(); - let force_view = ctx.copied_config().options().execution.parquet.schema_force_view_types; + let force_view = ctx + .copied_config() + .options() + .execution + .parquet + .schema_force_view_types; let expected = if force_view { datafusion::datasource::file_format::parquet::transform_schema_to_view(&expected) } else { @@ -141,7 +151,6 @@ pub(crate) fn widen_schema_from_plan( .unwrap_or_else(|| Arc::clone(inferred)) } - /// Creates a SessionContext with per-query RuntimeEnv and registers the default /// ListingTable provider for parquet scans. pub async unsafe fn create_session_context( @@ -157,7 +166,11 @@ pub async unsafe fn create_session_context( let shard_view = &*(shard_view_ptr as *const ShardView); let global_pool = runtime.runtime_env.memory_pool.clone(); - let query_context = QueryTrackingContext::new(context_id, global_pool.clone(), crate::query_tracker::QueryType::Shard); + let query_context = QueryTrackingContext::new( + context_id, + global_pool.clone(), + crate::query_tracker::QueryType::Shard, + ); let query_memory_pool = query_context .memory_pool() .map(|p| p as Arc); @@ -171,7 +184,8 @@ pub async unsafe fn create_session_context( CachedFileList::new(shard_view.object_metas.as_ref().clone()), ); - let mut runtime_env_builder = crate::query_executor::query_runtime_env_builder(runtime, list_file_cache); + let mut runtime_env_builder = + crate::query_executor::query_runtime_env_builder(runtime, list_file_cache); if let Some(pool) = query_memory_pool { runtime_env_builder = runtime_env_builder.with_memory_pool(pool); @@ -192,13 +206,13 @@ pub async unsafe fn create_session_context( // Acquire memory budget from cached parquet metadata (zero I/O). // On cache miss (first query for this shard), skip — subsequent queries benefit. - let phantom_reservation = try_acquire_budget( - runtime, &global_pool, &shard_view, &query_config, - ); - let effective_partitions = phantom_reservation.as_ref() + let phantom_reservation = try_acquire_budget(runtime, &global_pool, &shard_view, &query_config); + let effective_partitions = phantom_reservation + .as_ref() .map(|b| b.target_partitions) .unwrap_or(query_config.target_partitions); - let effective_batch_size = phantom_reservation.as_ref() + let effective_batch_size = phantom_reservation + .as_ref() .map(|b| b.batch_size) .unwrap_or(query_config.batch_size); let phantom = phantom_reservation.map(|b| b.phantom_reservation); @@ -208,19 +222,26 @@ pub async unsafe fn create_session_context( // fragment means OpenSearchTopKRewriter fired. Stored on the handle so prepare_partial_plan // can apply PartialReduce without re-scanning the physical plan. let has_topk = has_partial_aggregate && substrait_has_fetch_rel(plan_bytes); - config.options_mut().execution.parquet.pushdown_filters = query_config.listing_table_pushdown_filters; + config.options_mut().execution.parquet.pushdown_filters = + query_config.listing_table_pushdown_filters; // Disable DataFusion's adaptive skip-partial-aggregation when TopK is active. // If DF abandons partial agg midstream, the partial state sent to the coordinator is // incomplete — TopK sees wrong group counts and produces incorrect results. if has_topk { - config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; + config + .options_mut() + .execution + .skip_partial_aggregation_probe_ratio_threshold = 1.0; } config.options_mut().execution.target_partitions = effective_partitions; config.options_mut().execution.batch_size = effective_batch_size; // When the index has `index.sort.field`, ask DataFusion to use the sort-aware // file-group partitioner so `output_ordering` can propagate from the scan. if !shard_view.sort_fields.is_empty() { - config.options_mut().execution.split_file_groups_by_statistics = true; + config + .options_mut() + .execution + .split_file_groups_by_statistics = true; } let mut state_builder = SessionStateBuilder::new() @@ -236,12 +257,11 @@ pub async unsafe fn create_session_context( // Install the scoped page-index reader factory on every parquet scan. // Also, this SHOULD be the last optimizer to see all projections / predicates if page_index::is_scoped_page_index_enabled() { - state_builder = state_builder.with_physical_optimizer_rule(Arc::new( - ScopedPageIndexOptimizer::new( + state_builder = + state_builder.with_physical_optimizer_rule(Arc::new(ScopedPageIndexOptimizer::new( Arc::clone(&shard_view.store), runtime.runtime_env.cache_manager.get_file_metadata_cache(), - ), - )); + ))); } let state = state_builder.build(); @@ -268,7 +288,9 @@ pub async unsafe fn create_session_context( .with_collect_stat(true) .with_target_partitions(effective_partitions); - if let Some(sort_exprs) = build_file_sort_order(&shard_view.sort_fields, &shard_view.sort_orders) { + if let Some(sort_exprs) = + build_file_sort_order(&shard_view.sort_fields, &shard_view.sort_orders) + { listing_options = listing_options.with_file_sort_order(vec![sort_exprs]); } @@ -358,13 +380,14 @@ pub async unsafe fn create_session_context( .with_cache(stats_cache), ); - ctx.register_table(register_name.as_str(), provider).map_err(|e| { - error!( - "create_session_context: failed to register table '{}': {}", - register_name, e - ); - e - })?; + ctx.register_table(register_name.as_str(), provider) + .map_err(|e| { + error!( + "create_session_context: failed to register table '{}': {}", + register_name, e + ); + e + })?; log_debug!( "create_session_context: registered table '{}' with file_sort_order_keys={}", register_name, @@ -422,7 +445,16 @@ pub async unsafe fn create_session_context_indexed( query_config: DatafusionQueryConfig, plan_bytes: &[u8], ) -> Result { - let ptr = create_session_context(runtime_ptr, shard_view_ptr, table_name, context_id, has_partial_aggregate, query_config, plan_bytes).await?; + let ptr = create_session_context( + runtime_ptr, + shard_view_ptr, + table_name, + context_id, + has_partial_aggregate, + query_config, + plan_bytes, + ) + .await?; // Augment with indexed config. The delegation marker UDFs (index_filter, delegation_possible) // are now registered for every session by udf::register_all (via create_session_context above); @@ -468,7 +500,11 @@ pub async fn prepare_partial_plan( // output (state-suffixed Binary for HLL Partial vs. Int64 cardinality for Final.evaluate) // — otherwise RelabelExec would carry the pre-strip type tag (e.g. Int64) and fail with // "non-bit-compatible types: Binary → Int64" when wrapping the stripped Partial. - let stripped = crate::agg_mode::apply_aggregate_mode(physical_plan, crate::agg_mode::Mode::Partial, handle.has_topk)?; + let stripped = crate::agg_mode::apply_aggregate_mode( + physical_plan, + crate::agg_mode::Mode::Partial, + handle.has_topk, + )?; let target_schema = crate::schema_coerce::coerce_inferred_schema(stripped.schema()); let stripped = crate::relabel_exec::wrap_if_relabel_needed(stripped, target_schema)?; @@ -476,7 +512,6 @@ pub async fn prepare_partial_plan( Ok(()) } - /// Returns true if the Substrait plan bytes contain a FetchRel (Sort+Limit node). /// A FetchRel in a shard fragment means `OpenSearchTopKRewriter` inserted a per-shard /// Sort+Limit — TopK is active. Used in `create_session_context` to detect TopK before @@ -520,15 +555,15 @@ fn substrait_has_fetch_rel(plan_bytes: &[u8]) -> bool { } } - let Ok(plan) = substrait::proto::Plan::decode(plan_bytes) else { return false; }; - plan.relations.iter().any(|pr| { - match pr.rel_type.as_ref() { - Some(substrait::proto::plan_rel::RelType::Root(rr)) => { - rr.input.as_ref().map_or(false, |r| rel_has_fetch(r)) - } - Some(substrait::proto::plan_rel::RelType::Rel(r)) => rel_has_fetch(r), - None => false, + let Ok(plan) = substrait::proto::Plan::decode(plan_bytes) else { + return false; + }; + plan.relations.iter().any(|pr| match pr.rel_type.as_ref() { + Some(substrait::proto::plan_rel::RelType::Root(rr)) => { + rr.input.as_ref().map_or(false, |r| rel_has_fetch(r)) } + Some(substrait::proto::plan_rel::RelType::Rel(r)) => rel_has_fetch(r), + None => false, }) } @@ -540,20 +575,25 @@ fn try_acquire_budget( shard_view: &ShardView, config: &DatafusionQueryConfig, ) -> Option { - use datafusion::execution::cache::CacheAccessor; use datafusion::datasource::physical_plan::parquet::metadata::CachedParquetMetaData; + use datafusion::execution::cache::CacheAccessor; use parquet::arrow::parquet_to_arrow_schema; let first_meta = shard_view.object_metas.first()?; let cache = runtime.runtime_env.cache_manager.get_file_metadata_cache(); let cached = cache.get(&first_meta.location)?; - let cached_parquet = cached.file_metadata.as_any().downcast_ref::()?; + let cached_parquet = cached + .file_metadata + .as_any() + .downcast_ref::()?; let parquet_meta = cached_parquet.parquet_metadata(); let schema = parquet_to_arrow_schema( parquet_meta.file_metadata().schema_descr(), parquet_meta.file_metadata().key_value_metadata(), - ).ok().map(Arc::new)?; + ) + .ok() + .map(Arc::new)?; crate::query_budget::acquire_budget_from_metadata( pool, @@ -561,7 +601,8 @@ fn try_acquire_budget( parquet_meta, config.target_partitions, config.batch_size, - ).ok() + ) + .ok() } /// Build a per-file sort-order declaration for `ListingOptions::with_file_sort_order`. @@ -633,9 +674,7 @@ mod tests { #[tokio::test] async fn test_widen_schema_noop_when_plan_empty() { let ctx = SessionContext::new(); - let schema = Arc::new(Schema::new(vec![ - Field::new("a", DataType::Int64, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("a", DataType::Int64, true)])); let result = widen_schema_from_plan(&ctx, &[], "t", &schema); assert_eq!(result.fields().len(), 1); assert_eq!(result.field(0).name(), "a"); @@ -655,11 +694,16 @@ mod tests { vec![Arc::new(Int64Array::from(vec![1i64]))], ) .expect("batch"); - let table = MemTable::try_new(Arc::clone(®istered_schema), vec![vec![batch]]).expect("memtable"); + let table = + MemTable::try_new(Arc::clone(®istered_schema), vec![vec![batch]]).expect("memtable"); ctx.register_table("t", Arc::new(table)).expect("register"); // Build a substrait plan with a Read rel pointing at "t" — base_schema.names = ["a"]. - let logical = ctx.sql("SELECT a FROM t").await.expect("sql").into_unoptimized_plan(); + let logical = ctx + .sql("SELECT a FROM t") + .await + .expect("sql") + .into_unoptimized_plan(); let plan = to_substrait_plan(&logical, &ctx.state()).expect("substrait plan"); let mut plan_bytes = Vec::new(); plan.encode(&mut plan_bytes).expect("encode"); @@ -671,7 +715,10 @@ mod tests { ])); let result = widen_schema_from_plan(&ctx, &plan_bytes, "t", &inferred); // Must return inferred unchanged (Arc::clone, so pointer-equal). - assert!(Arc::ptr_eq(&result, &inferred), "subset gate must short-circuit to inferred"); + assert!( + Arc::ptr_eq(&result, &inferred), + "subset gate must short-circuit to inferred" + ); } /// Empty-shard case: a shard with zero parquet files yields an empty inferred schema, but the @@ -686,9 +733,14 @@ mod tests { Field::new("a", DataType::Int64, true), Field::new("b", DataType::Utf8, true), ])); - let table = MemTable::try_new(Arc::clone(®istered_schema), vec![vec![]]).expect("memtable"); + let table = + MemTable::try_new(Arc::clone(®istered_schema), vec![vec![]]).expect("memtable"); ctx.register_table("t", Arc::new(table)).expect("register"); - let logical = ctx.sql("SELECT a, b FROM t").await.expect("sql").into_unoptimized_plan(); + let logical = ctx + .sql("SELECT a, b FROM t") + .await + .expect("sql") + .into_unoptimized_plan(); let plan = to_substrait_plan(&logical, &ctx.state()).expect("substrait plan"); let mut plan_bytes = Vec::new(); plan.encode(&mut plan_bytes).expect("encode"); @@ -697,7 +749,11 @@ mod tests { let inferred = Arc::new(Schema::empty()); let result = widen_schema_from_plan(&ctx, &plan_bytes, "t", &inferred); - assert_eq!(result.fields().len(), 2, "all base_schema columns must be appended"); + assert_eq!( + result.fields().len(), + 2, + "all base_schema columns must be appended" + ); for name in ["a", "b"] { let f = result.field_with_name(name).expect("column present"); assert!(f.is_nullable(), "appended column {name} must be nullable"); @@ -710,7 +766,9 @@ mod tests { .with_config(SessionConfig::new()) .with_runtime_env(Arc::new(runtime_env)) .with_default_features() - .with_physical_optimizer_rules(crate::agg_mode::physical_optimizer_rules_without_combine()) + .with_physical_optimizer_rules( + crate::agg_mode::physical_optimizer_rules_without_combine(), + ) .build(); let ctx = SessionContext::new_with_state(state); @@ -734,7 +792,8 @@ mod tests { let table_path = datafusion::datasource::listing::ListingTableUrl::parse("file:///tmp") .expect("table_path"); let global_pool = ctx.runtime_env().memory_pool.clone(); - let query_context = QueryTrackingContext::new(0, global_pool, crate::query_tracker::QueryType::Shard); + let query_context = + QueryTrackingContext::new(0, global_pool, crate::query_tracker::QueryType::Shard); let handle = SessionContextHandle { ctx, @@ -790,7 +849,12 @@ mod tests { use datafusion::execution::cache::file_statistics_cache::DefaultFileStatisticsCache; use datafusion::parquet::arrow::ArrowWriter; - fn write_parquet(dir: &std::path::Path, name: &str, schema: SchemaRef, cols: Vec>) { + fn write_parquet( + dir: &std::path::Path, + name: &str, + schema: SchemaRef, + cols: Vec>, + ) { let file = std::fs::File::create(dir.join(name)).unwrap(); let batch = RecordBatch::try_new(Arc::clone(&schema), cols).unwrap(); let mut writer = ArrowWriter::try_new(file, schema, None).unwrap(); @@ -805,15 +869,24 @@ mod tests { Field::new("a", DataType::Int64, true), Field::new("b", DataType::Utf8, true), ])); - write_parquet(dir.path(), "narrow.parquet", Arc::clone(&narrow), vec![Arc::new(Int64Array::from(vec![1i64]))]); + write_parquet( + dir.path(), + "narrow.parquet", + Arc::clone(&narrow), + vec![Arc::new(Int64Array::from(vec![1i64]))], + ); write_parquet( dir.path(), "wide.parquet", Arc::clone(&wide), - vec![Arc::new(Int64Array::from(vec![2i64])), Arc::new(StringArray::from(vec!["x"]))], + vec![ + Arc::new(Int64Array::from(vec![2i64])), + Arc::new(StringArray::from(vec!["x"])), + ], ); - let table_url = ListingTableUrl::parse(format!("file://{}", dir.path().to_str().unwrap())).unwrap(); + let table_url = + ListingTableUrl::parse(format!("file://{}", dir.path().to_str().unwrap())).unwrap(); // Shared, runtime-global stats cache — the crux of the bug. let stats_cache = Arc::new(DefaultFileStatisticsCache::default()); @@ -826,9 +899,19 @@ mod tests { let narrow_cfg = ListingTableConfig::new(table_url.clone()) .with_listing_options(narrow_opts) .with_schema(Arc::clone(&narrow)); - let narrow_tbl = Arc::new(ListingTable::try_new(narrow_cfg).unwrap().with_cache(Some(stats_cache.clone()))); + let narrow_tbl = Arc::new( + ListingTable::try_new(narrow_cfg) + .unwrap() + .with_cache(Some(stats_cache.clone())), + ); ctx.register_table("t_narrow", narrow_tbl).unwrap(); - let _ = ctx.sql("SELECT a FROM t_narrow").await.unwrap().collect().await.unwrap(); + let _ = ctx + .sql("SELECT a FROM t_narrow") + .await + .unwrap() + .collect() + .await + .unwrap(); // 2. WIDENED read reusing the SAME cache. This is what create_session_context does after // widen_schema_from_plan. The fix sets collect_stat(false) because the schema was widened; @@ -839,7 +922,11 @@ mod tests { let widened_cfg = ListingTableConfig::new(table_url) .with_listing_options(widened_opts) .with_schema(Arc::clone(&wide)); - let widened_tbl = Arc::new(ListingTable::try_new(widened_cfg).unwrap().with_cache(Some(stats_cache))); + let widened_tbl = Arc::new( + ListingTable::try_new(widened_cfg) + .unwrap() + .with_cache(Some(stats_cache)), + ); ctx.register_table("t_wide", widened_tbl).unwrap(); let rows = ctx @@ -859,13 +946,17 @@ mod tests { /// another shard's store and failed with "No such file or directory". #[tokio::test] async fn test_per_query_object_store_registry_is_isolated() { - use datafusion::execution::object_store::{DefaultObjectStoreRegistry, ObjectStoreRegistry}; + use datafusion::execution::object_store::{ + DefaultObjectStoreRegistry, ObjectStoreRegistry, + }; use object_store::memory::InMemory; use object_store::ObjectStore; use url::Url; // Simulates the single shared global runtime_env (DataFusionRuntime.runtime_env). - let shared = RuntimeEnvBuilder::new().build().expect("shared runtime env"); + let shared = RuntimeEnvBuilder::new() + .build() + .expect("shared runtime env"); // Two per-query runtime envs, each derived the way create_session_context derives them: // from the shared env but with a fresh object-store registry. @@ -897,9 +988,18 @@ mod tests { // Each env resolves to its OWN store, and the two are independent: registering in one env // does not leak into the other. - assert!(Arc::ptr_eq(&got_a, &store_a), "env_a must resolve to its own store"); - assert!(Arc::ptr_eq(&got_b, &store_b), "env_b must resolve to its own store"); - assert!(!Arc::ptr_eq(&got_a, &got_b), "per-query stores must be independent across queries"); + assert!( + Arc::ptr_eq(&got_a, &store_a), + "env_a must resolve to its own store" + ); + assert!( + Arc::ptr_eq(&got_b, &store_b), + "env_b must resolve to its own store" + ); + assert!( + !Arc::ptr_eq(&got_a, &got_b), + "per-query stores must be independent across queries" + ); } #[test] @@ -909,10 +1009,16 @@ mod tests { let mut config = SessionConfig::new(); let has_topk = true; if has_topk { - config.options_mut().execution.skip_partial_aggregation_probe_ratio_threshold = 1.0; + config + .options_mut() + .execution + .skip_partial_aggregation_probe_ratio_threshold = 1.0; } assert_eq!( - config.options().execution.skip_partial_aggregation_probe_ratio_threshold, + config + .options() + .execution + .skip_partial_aggregation_probe_ratio_threshold, 1.0, "skip_partial must be disabled (1.0) when TopK is active" ); @@ -924,7 +1030,10 @@ mod tests { // for non-TopK multi-shard queries. let config = SessionConfig::new(); assert_eq!( - config.options().execution.skip_partial_aggregation_probe_ratio_threshold, + config + .options() + .execution + .skip_partial_aggregation_probe_ratio_threshold, 0.8, "non-TopK queries must retain DF default threshold" ); @@ -941,7 +1050,9 @@ mod tests { use substrait::proto::expression::literal::LiteralType; use substrait::proto::expression::{Literal, RexType}; use substrait::proto::rel::RelType; - use substrait::proto::{Expression, FetchRel, Plan, PlanRel, Rel, SortRel, fetch_rel, plan_rel}; + use substrait::proto::{ + fetch_rel, plan_rel, Expression, FetchRel, Plan, PlanRel, Rel, SortRel, + }; // Build: FetchRel(count=10) wrapping SortRel — same as what DataFusion Substrait // producer emits for Sort(fetch=10, ...) from OpenSearchTopKRewriter. @@ -982,7 +1093,7 @@ mod tests { fn test_substrait_has_fetch_rel_with_fetch_no_count_mode() { use prost::Message; use substrait::proto::rel::RelType; - use substrait::proto::{FetchRel, Plan, PlanRel, Rel, plan_rel}; + use substrait::proto::{plan_rel, FetchRel, Plan, PlanRel, Rel}; // FetchRel exists but count_mode is None — not a real limit, should not trigger TopK. let fetch_rel = Box::new(Rel { @@ -1001,14 +1112,17 @@ mod tests { ..Default::default() }; let bytes = plan.encode_to_vec(); - assert!(!substrait_has_fetch_rel(&bytes), "FetchRel without count_mode → false"); + assert!( + !substrait_has_fetch_rel(&bytes), + "FetchRel without count_mode → false" + ); } #[test] fn test_substrait_has_fetch_rel_without_fetch() { use prost::Message; use substrait::proto::rel::RelType; - use substrait::proto::{Plan, PlanRel, Rel, SortRel, plan_rel}; + use substrait::proto::{plan_rel, Plan, PlanRel, Rel, SortRel}; // Sort without fetch → no FetchRel → false let sort_rel = Box::new(Rel { @@ -1026,7 +1140,10 @@ mod tests { ..Default::default() }; let bytes = plan.encode_to_vec(); - assert!(!substrait_has_fetch_rel(&bytes), "SortRel without FetchRel → false"); + assert!( + !substrait_has_fetch_rel(&bytes), + "SortRel without FetchRel → false" + ); } /// A Join rel at the root — exercises the `Some(other)` arm that logs and returns false. @@ -1035,7 +1152,7 @@ mod tests { fn test_substrait_has_fetch_rel_join_returns_false() { use prost::Message; use substrait::proto::rel::RelType; - use substrait::proto::{JoinRel, Plan, PlanRel, Rel, plan_rel}; + use substrait::proto::{plan_rel, JoinRel, Plan, PlanRel, Rel}; let join_rel = Box::new(Rel { rel_type: Some(RelType::Join(Box::new(JoinRel { @@ -1055,6 +1172,9 @@ mod tests { ..Default::default() }; let bytes = plan.encode_to_vec(); - assert!(!substrait_has_fetch_rel(&bytes), "Join rel → false (no TopK in shard fragment with Join)"); + assert!( + !substrait_has_fetch_rel(&bytes), + "Join rel → false (no TopK in shard fragment with Join)" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/shard_table_provider.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/shard_table_provider.rs index 02f541edc2227..17c7f8d3d9227 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/shard_table_provider.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/shard_table_provider.rs @@ -13,8 +13,8 @@ use std::sync::Arc; use async_trait::async_trait; use datafusion::arrow::datatypes::{DataType, Field, Schema, SchemaRef}; use datafusion::catalog::{Session, TableProvider}; -use datafusion::common::{Result, ScalarValue, Statistics}; use datafusion::common::stats::Precision; +use datafusion::common::{Result, ScalarValue, Statistics}; use datafusion::datasource::physical_plan::ParquetSource; use datafusion::datasource::source::DataSourceExec; use datafusion::datasource::TableType; @@ -44,7 +44,10 @@ impl ShardTableProvider { let mut fields: Vec> = config.file_schema.fields().iter().cloned().collect(); fields.push(Arc::new(Field::new("row_base", DataType::Int64, true))); let table_schema = Arc::new(Schema::new(fields)); - Self { table_schema, config } + Self { + table_schema, + config, + } } } @@ -58,8 +61,12 @@ impl std::fmt::Debug for ShardTableProvider { #[async_trait] impl TableProvider for ShardTableProvider { - fn schema(&self) -> SchemaRef { self.table_schema.clone() } - fn table_type(&self) -> TableType { TableType::Base } + fn schema(&self) -> SchemaRef { + self.table_schema.clone() + } + fn table_type(&self) -> TableType { + TableType::Base + } fn supports_filters_pushdown( &self, @@ -82,7 +89,10 @@ impl TableProvider for ShardTableProvider { "ShardTableProvider: files not ordered by row_base — ProjectRowIdOptimizer would compute wrong global IDs" ); let num_file_cols = self.config.file_schema.fields().len(); - let partitioned_files: Vec = self.config.files.iter() + let partitioned_files: Vec = self + .config + .files + .iter() .map(|file_info| { let mut pf = PartitionedFile::from(file_info.object_meta.clone()); pf.partition_values = vec![ScalarValue::Int64(Some(file_info.row_base))]; @@ -111,11 +121,9 @@ impl TableProvider for ShardTableProvider { let parquet_source = ParquetSource::new(table_schema); - let mut builder = FileScanConfigBuilder::new( - self.config.store_url.clone(), - Arc::new(parquet_source), - ) - .with_file_groups(file_groups); + let mut builder = + FileScanConfigBuilder::new(self.config.store_url.clone(), Arc::new(parquet_source)) + .with_file_groups(file_groups); // Always include the row_base partition column (index = num_file_cols) // so ProjectRowIdOptimizer can compute __row_id__ + row_base. @@ -142,5 +150,7 @@ impl TableProvider for ShardTableProvider { Ok(DataSourceExec::from_data_source(file_scan_config)) } - fn statistics(&self) -> Option { None } + fn statistics(&self) -> Option { + None + } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs index 85bc941682095..3ed5ac95bd9da 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/stats.rs @@ -220,7 +220,6 @@ pub fn pack_runtime_metrics(_monitor: &RuntimeMonitor, handle: &Handle) -> Runti } } - /// Snapshot a `TaskMonitor` and return a populated `TaskMonitorRepr`. /// /// | Field | Source | @@ -332,8 +331,8 @@ pub fn pack_cache_stats(mgr: &CustomCacheManager) -> CacheStatsRepr { mod tests { use super::*; use crate::task_monitors::{ - coordinator_reduce_monitor, query_execution_monitor, - stream_next_monitor, plan_setup_monitor, + coordinator_reduce_monitor, plan_setup_monitor, query_execution_monitor, + stream_next_monitor, }; #[test] @@ -385,7 +384,11 @@ mod tests { assert_eq!(result, 42); let tm = pack_task_monitor(monitor); - assert!(tm.total_poll_duration_ms >= 0, "total_poll_duration should be >= 0, got {}", tm.total_poll_duration_ms); + assert!( + tm.total_poll_duration_ms >= 0, + "total_poll_duration should be >= 0, got {}", + tm.total_poll_duration_ms + ); } #[tokio::test] @@ -418,11 +421,23 @@ mod tests { }; assert_eq!(layout::BUFFER_BYTE_SIZE, 680); - assert!(buf.io_runtime.workers_count > 0, "IO runtime workers_count should be > 0, got {}", buf.io_runtime.workers_count); - assert!(buf.fragment_executor_gate.max_permits > 0, "fragment_executor_gate max_permits should be > 0, got {}", buf.fragment_executor_gate.max_permits); + assert!( + buf.io_runtime.workers_count > 0, + "IO runtime workers_count should be > 0, got {}", + buf.io_runtime.workers_count + ); + assert!( + buf.fragment_executor_gate.max_permits > 0, + "fragment_executor_gate max_permits should be > 0, got {}", + buf.fragment_executor_gate.max_permits + ); if mgr.cpu_monitor.is_some() { - assert!(buf.cpu_runtime.workers_count > 0, "CPU runtime workers_count should be > 0, got {}", buf.cpu_runtime.workers_count); + assert!( + buf.cpu_runtime.workers_count > 0, + "CPU runtime workers_count should be > 0, got {}", + buf.cpu_runtime.workers_count + ); } mgr.cpu_executor.shutdown(); @@ -458,8 +473,8 @@ mod tests { fn test_pack_cache_stats_reflects_underlying_counters() { use std::sync::Arc; - use datafusion::execution::cache::DefaultFilesMetadataCache; use datafusion::execution::cache::CacheAccessor; + use datafusion::execution::cache::DefaultFilesMetadataCache; use object_store::path::Path; use crate::cache::MutexFileMetadataCache; @@ -467,9 +482,9 @@ mod tests { use crate::eviction_policy::PolicyType; use crate::statistics_cache::CustomStatisticsCache; - let metadata_cache = Arc::new(MutexFileMetadataCache::new( - DefaultFilesMetadataCache::new(50 * 1024 * 1024), - )); + let metadata_cache = Arc::new(MutexFileMetadataCache::new(DefaultFilesMetadataCache::new( + 50 * 1024 * 1024, + ))); let stats_cache = Arc::new(CustomStatisticsCache::new( PolicyType::Lru, 10 * 1024 * 1024, @@ -482,7 +497,9 @@ mod tests { assert!(metadata_cache.get(&p).is_none()); assert!(stats_cache.get(&p).is_none()); } - assert!(metadata_cache.get(&Path::from("/test/missing/extra.parquet")).is_none()); + assert!(metadata_cache + .get(&Path::from("/test/missing/extra.parquet")) + .is_none()); let mut mgr = CustomCacheManager::new(); mgr.set_file_metadata_cache(metadata_cache); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/task_monitors.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/task_monitors.rs index e4b661df276d7..bc82651720d5b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/task_monitors.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/task_monitors.rs @@ -24,7 +24,15 @@ static QUERY_EXECUTION_MONITOR: Lazy = Lazy::new(TaskMonitor::new); static STREAM_NEXT_MONITOR: Lazy = Lazy::new(TaskMonitor::new); static PLAN_SETUP_MONITOR: Lazy = Lazy::new(TaskMonitor::new); -pub fn coordinator_reduce_monitor() -> &'static TaskMonitor { &COORDINATOR_REDUCE_MONITOR } -pub fn query_execution_monitor() -> &'static TaskMonitor { &QUERY_EXECUTION_MONITOR } -pub fn stream_next_monitor() -> &'static TaskMonitor { &STREAM_NEXT_MONITOR } -pub fn plan_setup_monitor() -> &'static TaskMonitor { &PLAN_SETUP_MONITOR } +pub fn coordinator_reduce_monitor() -> &'static TaskMonitor { + &COORDINATOR_REDUCE_MONITOR +} +pub fn query_execution_monitor() -> &'static TaskMonitor { + &QUERY_EXECUTION_MONITOR +} +pub fn stream_next_monitor() -> &'static TaskMonitor { + &STREAM_NEXT_MONITOR +} +pub fn plan_setup_monitor() -> &'static TaskMonitor { + &PLAN_SETUP_MONITOR +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs index b8e87fc2c171e..3208d81a4327f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/tiered_storage_integration_tests.rs @@ -39,14 +39,33 @@ const DISK_BYTES: usize = 8 * 1024 * 1024; const BUFFER_POOL: usize = 8 * 1024 * 1024; const SUBMIT_QUEUE: usize = 8 * 1024 * 1024; -fn create_tiered_cache(data_dir: &std::path::Path, meta_dir: &std::path::Path) -> Arc { +fn create_tiered_cache( + data_dir: &std::path::Path, + meta_dir: &std::path::Path, +) -> Arc { let data_cache = Arc::new(FoyerCache::new( - DISK_BYTES, data_dir, BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + DISK_BYTES, + data_dir, + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let metadata_cache = Arc::new(FoyerCache::new( - DISK_BYTES, meta_dir, BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + DISK_BYTES, + meta_dir, + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); Arc::new(TieredBlockCache::new(data_cache, metadata_cache)) } @@ -57,12 +76,10 @@ fn create_store( path_str: &str, file_size: u64, ) -> Arc { - let local: Arc = Arc::new( - LocalFileSystem::new_with_prefix(parquet_dir).unwrap() - ); + let local: Arc = + Arc::new(LocalFileSystem::new_with_prefix(parquet_dir).unwrap()); let registry = Arc::new(TieredStorageRegistry::new()); - let store = TieredObjectStore::new(registry, local) - .with_cache(cache as Arc); + let store = TieredObjectStore::new(registry, local).with_cache(cache as Arc); let store = Arc::new(store); store.registry().register( path_str, @@ -80,17 +97,23 @@ fn write_test_parquet(dir: &std::path::Path, filename: &str, num_row_groups: usi let file_path = dir.join(filename); let file = std::fs::File::create(&file_path).unwrap(); - let props = WriterProperties::builder().set_max_row_group_row_count(Some(100)).build(); + let props = WriterProperties::builder() + .set_max_row_group_row_count(Some(100)) + .build(); let mut writer = ArrowWriter::try_new(file, schema.clone(), Some(props)).unwrap(); for rg in 0..num_row_groups { let offset = (rg * 100) as i64; let ids: Vec = (offset..offset + 100).collect(); let names: Vec = ids.iter().map(|i| format!("name_{}", i)).collect(); - let batch = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(ids)), - Arc::new(StringArray::from(names)), - ]).unwrap(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(ids)), + Arc::new(StringArray::from(names)), + ], + ) + .unwrap(); writer.write(&batch).unwrap(); } @@ -101,7 +124,8 @@ fn write_test_parquet(dir: &std::path::Path, filename: &str, num_row_groups: usi /// Shared runtime for test async blocks (created lazily, not inside FoyerCache::new). fn block_on(f: F) -> F::Output { static RT: std::sync::OnceLock = std::sync::OnceLock::new(); - RT.get_or_init(|| tokio::runtime::Runtime::new().unwrap()).block_on(f) + RT.get_or_init(|| tokio::runtime::Runtime::new().unwrap()) + .block_on(f) } /// Compute the single global page index range matching parquet crate's `range_for_page_index()`. @@ -109,11 +133,17 @@ fn block_on(f: F) -> F::Output { /// Folds ALL columns across ALL row groups into a single contiguous range /// encompassing all column_index and offset_index data. Returns `None` if the /// file has no page index metadata. -fn compute_global_page_index_range(metadata: &parquet::file::metadata::ParquetMetaData) -> Option> { - metadata.row_groups().iter() +fn compute_global_page_index_range( + metadata: &parquet::file::metadata::ParquetMetaData, +) -> Option> { + metadata + .row_groups() + .iter() .flat_map(|rg| rg.columns().iter()) .fold(None::>, |acc, col| { - let acc = if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + let acc = if let (Some(offset), Some(length)) = + (col.column_index_offset(), col.column_index_length()) + { let start = offset as u64; let end = start + length as u64; match acc { @@ -123,7 +153,9 @@ fn compute_global_page_index_range(metadata: &parquet::file::metadata::ParquetMe } else { acc }; - if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(offset), Some(length)) = + (col.offset_index_offset(), col.offset_index_length()) + { let start = offset as u64; let end = start + length as u64; match acc { @@ -142,31 +174,41 @@ fn compute_global_page_index_range(metadata: &parquet::file::metadata::ParquetMe fn compute_per_rg_page_index_ranges( rg: &parquet::file::metadata::RowGroupMetaData, ) -> (Option>, Option>) { - let col_idx_range = rg.columns().iter().fold(None::>, |acc, col| { - if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { - let start = offset as u64; - let end = start + length as u64; - match acc { - Some(a) => Some(a.start.min(start)..a.end.max(end)), - None => Some(start..end), + let col_idx_range = rg + .columns() + .iter() + .fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = + (col.column_index_offset(), col.column_index_length()) + { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc } - } else { - acc - } - }); + }); - let off_idx_range = rg.columns().iter().fold(None::>, |acc, col| { - if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { - let start = offset as u64; - let end = start + length as u64; - match acc { - Some(a) => Some(a.start.min(start)..a.end.max(end)), - None => Some(start..end), + let off_idx_range = rg + .columns() + .iter() + .fold(None::>, |acc, col| { + if let (Some(offset), Some(length)) = + (col.offset_index_offset(), col.offset_index_length()) + { + let start = offset as u64; + let end = start + length as u64; + match acc { + Some(a) => Some(a.start.min(start)..a.end.max(end)), + None => Some(start..end), + } + } else { + acc } - } else { - acc - } - }); + }); (col_idx_range, off_idx_range) } @@ -180,13 +222,16 @@ async fn setup_df_session( table_name: &str, schema: Option>, ) -> (datafusion::prelude::SessionContext, Arc) { - use datafusion::prelude::*; - use datafusion::datasource::listing::{ListingTable, ListingTableConfig, ListingTableUrl, ListingOptions}; use datafusion::datasource::file_format::parquet::ParquetFormat; + use datafusion::datasource::listing::{ + ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl, + }; + use datafusion::prelude::*; let ctx = SessionContext::new(); let url = url::Url::parse("file://").unwrap(); - ctx.runtime_env().register_object_store(&url, store.clone() as Arc); + ctx.runtime_env() + .register_object_store(&url, store.clone() as Arc); let table_url = ListingTableUrl::parse(&format!("file:///{}", file_path)).unwrap(); let format = Arc::new(ParquetFormat::default()); @@ -194,7 +239,10 @@ async fn setup_df_session( let schema = match schema { Some(s) => s, - None => listing_options.infer_schema(&ctx.state(), &table_url).await.unwrap(), + None => listing_options + .infer_schema(&ctx.state(), &table_url) + .await + .unwrap(), }; let config = ListingTableConfig::new(table_url) @@ -238,19 +286,32 @@ fn metadata_routed_to_metadata_cache_data_to_data_cache() { let footer_start = file_size.saturating_sub(8 * 1024); // Warmup: explicitly put metadata into metadata cache - let footer = warmup_metadata(&cache, parquet_dir.path(), "test.parquet", footer_start, file_size); + let footer = warmup_metadata( + &cache, + parquet_dir.path(), + "test.parquet", + footer_start, + file_size, + ); block_on(async { // Metadata read via get_range → get_opts → cache probe HIT - let footer_from_cache = store.get_range(&path, footer_start..file_size).await.unwrap(); + let footer_from_cache = store + .get_range(&path, footer_start..file_size) + .await + .unwrap(); assert_eq!(footer_from_cache, footer); // Confirm in metadata cache, NOT data cache let footer_key = range_cache_key("test.parquet", footer_start, file_size); - assert!(cache.metadata_cache().get(&footer_key).await.is_some(), - "footer must be in metadata cache"); - assert!(cache.data_cache().get(&footer_key).await.is_none(), - "footer must NOT be in data cache"); + assert!( + cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata cache" + ); + assert!( + cache.data_cache().get(&footer_key).await.is_none(), + "footer must NOT be in data cache" + ); // Data read (get_ranges) → data cache let data = store.get_ranges(&path, &[0u64..4096]).await.unwrap(); @@ -258,10 +319,14 @@ fn metadata_routed_to_metadata_cache_data_to_data_cache() { // Confirm data in data cache, NOT metadata cache let data_key = range_cache_key("test.parquet", 0, 4096); - assert!(cache.data_cache().get(&data_key).await.is_some(), - "data must be in data cache"); - assert!(cache.metadata_cache().get(&data_key).await.is_none(), - "data must NOT be in metadata cache"); + assert!( + cache.data_cache().get(&data_key).await.is_some(), + "data must be in data cache" + ); + assert!( + cache.metadata_cache().get(&data_key).await.is_none(), + "data must NOT be in metadata cache" + ); }); } @@ -278,16 +343,30 @@ fn metadata_survives_restart_via_foyer_recovery() { // Session 1: warmup puts metadata into metadata cache let original_bytes = { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - warmup_metadata(&cache, parquet_dir.path(), "restart.parquet", footer_start, file_size) + warmup_metadata( + &cache, + parquet_dir.path(), + "restart.parquet", + footer_start, + file_size, + ) }; // Session 2: new instances, same SSD dirs — Foyer recovers { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "restart.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "restart.parquet", + file_size, + ); block_on(async { // get_range → get_opts → cache probe → HIT (recovered from SSD) - let bytes = store.get_range(&path, footer_start..file_size).await.unwrap(); + let bytes = store + .get_range(&path, footer_start..file_size) + .await + .unwrap(); assert_eq!(bytes, original_bytes, "metadata must survive restart"); }); } @@ -301,12 +380,23 @@ fn evict_prefix_clears_both_caches_on_shard_delete() { let file_size = write_test_parquet(parquet_dir.path(), "delete.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "delete.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "delete.parquet", + file_size, + ); let path = Path::from("delete.parquet"); let footer_start = file_size.saturating_sub(8 * 1024); // Warmup metadata + populate data - warmup_metadata(&cache, parquet_dir.path(), "delete.parquet", footer_start, file_size); + warmup_metadata( + &cache, + parquet_dir.path(), + "delete.parquet", + footer_start, + file_size, + ); block_on(async { let _data = store.get_ranges(&path, &[0u64..4096]).await.unwrap(); @@ -319,8 +409,14 @@ fn evict_prefix_clears_both_caches_on_shard_delete() { // Shard delete store.evict_path("delete.parquet"); - assert!(cache.metadata_cache().get(&footer_key).await.is_none(), "metadata must be evicted"); - assert!(cache.data_cache().get(&data_key).await.is_none(), "data must be evicted"); + assert!( + cache.metadata_cache().get(&footer_key).await.is_none(), + "metadata must be evicted" + ); + assert!( + cache.data_cache().get(&data_key).await.is_none(), + "data must be evicted" + ); }); } @@ -334,20 +430,37 @@ fn metadata_served_from_ssd_not_local_fs() { let file_size = write_test_parquet(parquet_dir.path(), "ssd_only.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "ssd_only.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "ssd_only.parquet", + file_size, + ); let path = Path::from("ssd_only.parquet"); let footer_start = file_size.saturating_sub(8 * 1024); // Warmup puts metadata into metadata cache - let original = warmup_metadata(&cache, parquet_dir.path(), "ssd_only.parquet", footer_start, file_size); + let original = warmup_metadata( + &cache, + parquet_dir.path(), + "ssd_only.parquet", + footer_start, + file_size, + ); // Delete local file — force subsequent reads to come from cache only std::fs::remove_file(parquet_dir.path().join("ssd_only.parquet")).unwrap(); block_on(async { // Read via store — local FS is gone, must succeed from metadata SSD cache - let from_cache = store.get_range(&path, footer_start..file_size).await.unwrap(); - assert_eq!(from_cache, original, "must serve from SSD cache after local deletion"); + let from_cache = store + .get_range(&path, footer_start..file_size) + .await + .unwrap(); + assert_eq!( + from_cache, original, + "must serve from SSD cache after local deletion" + ); }); } @@ -361,20 +474,47 @@ fn data_pressure_does_not_evict_metadata() { let file_size = write_test_parquet(parquet_dir.path(), "pressure.parquet", 5); let data_cache = Arc::new(FoyerCache::new( - 2 * 1024 * 1024, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + 2 * 1024 * 1024, + data_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let metadata_cache = Arc::new(FoyerCache::new( - DISK_BYTES, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + DISK_BYTES, + meta_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); - let store = create_store(parquet_dir.path(), cache.clone(), "pressure.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "pressure.parquet", + file_size, + ); let path = Path::from("pressure.parquet"); let footer_start = file_size.saturating_sub(8 * 1024); // Warmup - let footer = warmup_metadata(&cache, parquet_dir.path(), "pressure.parquet", footer_start, file_size); + let footer = warmup_metadata( + &cache, + parquet_dir.path(), + "pressure.parquet", + footer_start, + file_size, + ); let footer_key = range_cache_key("pressure.parquet", footer_start, file_size); block_on(async { @@ -388,9 +528,14 @@ fn data_pressure_does_not_evict_metadata() { } // Metadata untouched - assert!(cache.metadata_cache().get(&footer_key).await.is_some(), - "metadata must survive data cache LRU pressure"); - let footer_after = store.get_range(&path, footer_start..file_size).await.unwrap(); + assert!( + cache.metadata_cache().get(&footer_key).await.is_some(), + "metadata must survive data cache LRU pressure" + ); + let footer_after = store + .get_range(&path, footer_start..file_size) + .await + .unwrap(); assert_eq!(footer_after, footer); }); } @@ -404,14 +549,25 @@ fn suffix_fetch_resolves_and_hits_cache() { let file_size = write_test_parquet(parquet_dir.path(), "suffix.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "suffix.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "suffix.parquet", + file_size, + ); let path = Path::from("suffix.parquet"); let suffix_size = 4096u64; let expected_start = file_size - suffix_size; // Warmup: put with absolute range key - warmup_metadata(&cache, parquet_dir.path(), "suffix.parquet", expected_start, file_size); + warmup_metadata( + &cache, + parquet_dir.path(), + "suffix.parquet", + expected_start, + file_size, + ); block_on(async { // Suffix fetch should resolve to same absolute key and hit cache @@ -424,9 +580,14 @@ fn suffix_fetch_resolves_and_hits_cache() { let suffix_bytes = result.bytes().await.unwrap(); // Must match what we put via absolute range - let bounded_bytes = store.get_range(&path, expected_start..file_size).await.unwrap(); - assert_eq!(suffix_bytes, bounded_bytes, - "suffix fetch must resolve to same bytes as bounded range"); + let bounded_bytes = store + .get_range(&path, expected_start..file_size) + .await + .unwrap(); + assert_eq!( + suffix_bytes, bounded_bytes, + "suffix fetch must resolve to same bytes as bounded range" + ); }); } @@ -439,12 +600,23 @@ fn concurrent_metadata_reads_are_safe() { let file_size = write_test_parquet(parquet_dir.path(), "concurrent.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "concurrent.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "concurrent.parquet", + file_size, + ); let path = Path::from("concurrent.parquet"); let footer_start = file_size.saturating_sub(8 * 1024); // Warmup - let expected = warmup_metadata(&cache, parquet_dir.path(), "concurrent.parquet", footer_start, file_size); + let expected = warmup_metadata( + &cache, + parquet_dir.path(), + "concurrent.parquet", + footer_start, + file_size, + ); block_on(async { let mut handles = Vec::new(); @@ -452,16 +624,25 @@ fn concurrent_metadata_reads_are_safe() { let store = store.clone(); let path = path.clone(); handles.push(tokio::spawn(async move { - store.get_range(&path, footer_start..file_size).await.unwrap() + store + .get_range(&path, footer_start..file_size) + .await + .unwrap() })); } - let results: Vec<_> = futures::future::join_all(handles).await - .into_iter().map(|r| r.unwrap()).collect(); + let results: Vec<_> = futures::future::join_all(handles) + .await + .into_iter() + .map(|r| r.unwrap()) + .collect(); for (i, result) in results.iter().enumerate() { - assert_eq!(result, &expected, - "concurrent read {} must match warmup bytes", i); + assert_eq!( + result, &expected, + "concurrent read {} must match warmup bytes", + i + ); } }); } @@ -476,7 +657,12 @@ fn get_range_and_get_ranges_share_same_cache_key() { let file_size = write_test_parquet(parquet_dir.path(), "keyshare.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "keyshare.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "keyshare.parquet", + file_size, + ); let path = Path::from("keyshare.parquet"); block_on(async { @@ -487,7 +673,10 @@ fn get_range_and_get_ranges_share_same_cache_key() { let via_range = store.get_range(&path, 0u64..4096).await.unwrap(); // Both must return same bytes - assert_eq!(via_ranges[0], via_range, "get_range and get_ranges must return same bytes"); + assert_eq!( + via_ranges[0], via_range, + "get_range and get_ranges must return same bytes" + ); // The key is the same regardless of path let key = range_cache_key("keyshare.parquet", 0, 4096); @@ -496,8 +685,10 @@ fn get_range_and_get_ranges_share_same_cache_key() { // One or both should have it — important thing is bytes are correct let in_data = cache.data_cache().get(&key).await; let in_meta = cache.metadata_cache().get(&key).await; - assert!(in_data.is_some() || in_meta.is_some(), - "range must be cached in at least one tier"); + assert!( + in_data.is_some() || in_meta.is_some(), + "range must be cached in at least one tier" + ); }); } @@ -515,15 +706,36 @@ fn metadata_cache_full_reads_still_succeed_via_local_fs() { // Tiny metadata cache (1MB disk, 1MB block) — will fill quickly let data_cache = Arc::new(FoyerCache::new( - DISK_BYTES, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + DISK_BYTES, + data_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let metadata_cache = Arc::new(FoyerCache::new( - 1 * 1024 * 1024, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + 1 * 1024 * 1024, + meta_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); - let store = create_store(parquet_dir.path(), cache.clone(), "breach.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "breach.parquet", + file_size, + ); let path = Path::from("breach.parquet"); block_on(async { @@ -540,13 +752,19 @@ fn metadata_cache_full_reads_still_succeed_via_local_fs() { } // All reads succeed — no panics, no errors regardless of cache state - assert!(!all_bytes.is_empty(), "reads must succeed regardless of metadata cache pressure"); + assert!( + !all_bytes.is_empty(), + "reads must succeed regardless of metadata cache pressure" + ); // Repeated reads also succeed (from local FS — get_opts does not auto-populate cache) for (start, end, original) in &all_bytes { let bytes = store.get_range(&path, *start..*end).await.unwrap(); - assert_eq!(&bytes, original, - "repeated read of {}..{} must return same bytes", start, end); + assert_eq!( + &bytes, original, + "repeated read of {}..{} must return same bytes", + start, end + ); } }); } @@ -560,13 +778,21 @@ fn datafusion_query_through_tiered_store() { let file_size = write_test_parquet(parquet_dir.path(), "query.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "query.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "query.parquet", + file_size, + ); block_on(async { - let (ctx, _schema) = setup_df_session(store.clone(), "query.parquet", "test_table", None).await; + let (ctx, _schema) = + setup_df_session(store.clone(), "query.parquet", "test_table", None).await; - let df = ctx.sql("SELECT id, name FROM test_table WHERE id < 5 ORDER BY id") - .await.unwrap(); + let df = ctx + .sql("SELECT id, name FROM test_table WHERE id < 5 ORDER BY id") + .await + .unwrap(); let batches = df.collect().await.unwrap(); assert!(!batches.is_empty()); @@ -594,8 +820,13 @@ fn warmup_put_metadata_then_datafusion_query_from_cache() { // This populates data_cache with all metadata + data ranges. let (ctx, schema) = setup_df_session(store.clone(), "warm.parquet", "t", None).await; - let batches = ctx.sql("SELECT id FROM t WHERE id < 5 ORDER BY id") - .await.unwrap().collect().await.unwrap(); + let batches = ctx + .sql("SELECT id FROM t WHERE id < 5 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); assert_eq!(batches.iter().map(|b| b.num_rows()).sum::(), 5); // Step 2: Now promote the footer range to metadata_cache. @@ -606,8 +837,10 @@ fn warmup_put_metadata_then_datafusion_query_from_cache() { } // Verify metadata is now in metadata_cache - assert!(cache.metadata_cache().get(&footer_key).await.is_some(), - "footer must be in metadata_cache after put_metadata"); + assert!( + cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata_cache after put_metadata" + ); // ── Delete local file — all subsequent reads must come from cache ──── std::fs::remove_file(parquet_dir.path().join("warm.parquet")).unwrap(); @@ -615,10 +848,18 @@ fn warmup_put_metadata_then_datafusion_query_from_cache() { // ── Query again: must succeed entirely from cache ──────────────────── let (ctx2, _) = setup_df_session(store.clone(), "warm.parquet", "t", Some(schema)).await; - let batches2 = ctx2.sql("SELECT id FROM t WHERE id < 5 ORDER BY id") - .await.unwrap().collect().await.unwrap(); - assert_eq!(batches2.iter().map(|b| b.num_rows()).sum::(), 5, - "query after file deletion must succeed from cache (metadata in metadata_cache)"); + let batches2 = ctx2 + .sql("SELECT id FROM t WHERE id < 5 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); + assert_eq!( + batches2.iter().map(|b| b.num_rows()).sum::(), + 5, + "query after file deletion must succeed from cache (metadata in metadata_cache)" + ); }); } @@ -642,14 +883,24 @@ fn datafusion_query_succeeds_from_cache_after_local_file_deleted() { let file_size = write_test_parquet(parquet_dir.path(), "align.parquet", 2); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "align.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "align.parquet", + file_size, + ); block_on(async { // ── Query 1: cold start, file on local FS ──────────────────────────── let (ctx, schema) = setup_df_session(store.clone(), "align.parquet", "t", None).await; - let batches = ctx.sql("SELECT id FROM t WHERE id < 3 ORDER BY id") - .await.unwrap().collect().await.unwrap(); + let batches = ctx + .sql("SELECT id FROM t WHERE id < 3 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); let rows1: usize = batches.iter().map(|b| b.num_rows()).sum(); assert_eq!(rows1, 3, "query 1 must return 3 rows"); @@ -659,11 +910,18 @@ fn datafusion_query_succeeds_from_cache_after_local_file_deleted() { // ── Query 2: same query, file gone — must succeed from cache ───────── let (ctx2, _) = setup_df_session(store.clone(), "align.parquet", "t", Some(schema)).await; - let batches2 = ctx2.sql("SELECT id FROM t WHERE id < 3 ORDER BY id") - .await.unwrap().collect().await.unwrap(); + let batches2 = ctx2 + .sql("SELECT id FROM t WHERE id < 3 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); let rows2: usize = batches2.iter().map(|b| b.num_rows()).sum(); - assert_eq!(rows2, 3, - "query 2 (file deleted) must succeed from cache — proves key alignment"); + assert_eq!( + rows2, 3, + "query 2 (file deleted) must succeed from cache — proves key alignment" + ); }); } @@ -672,7 +930,12 @@ fn datafusion_query_succeeds_from_cache_after_local_file_deleted() { /// Write a Parquet file with page-level statistics (column index + offset index) /// enabled. Returns the file size. #[allow(deprecated)] -fn write_page_indexed_parquet(dir: &std::path::Path, filename: &str, num_row_groups: usize, num_columns: usize) -> u64 { +fn write_page_indexed_parquet( + dir: &std::path::Path, + filename: &str, + num_row_groups: usize, + num_columns: usize, +) -> u64 { let mut fields: Vec = Vec::new(); for i in 0..num_columns { fields.push(Field::new(format!("col_{}", i), DataType::Int64, false)); @@ -696,7 +959,9 @@ fn write_page_indexed_parquet(dir: &std::path::Path, filename: &str, num_row_gro let offset = (rg * 100) as i64; let columns: Vec> = (0..num_columns) .map(|c| { - let vals: Vec = (offset..offset + 100).map(|v| v + (c as i64 * 1000)).collect(); + let vals: Vec = (offset..offset + 100) + .map(|v| v + (c as i64 * 1000)) + .collect(); Arc::new(Int64Array::from(vals)) as Arc }) .collect(); @@ -727,7 +992,12 @@ fn page_index_key_alignment_warmup_matches_query_time() { // Write a multi-column file with page indexes enabled let file_size = write_page_indexed_parquet(parquet_dir.path(), "page_idx.parquet", 3, 5); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "page_idx.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "page_idx.parquet", + file_size, + ); let path = Path::from("page_idx.parquet"); // Read footer and compute page index ranges using the shared helper @@ -742,12 +1012,16 @@ fn page_index_key_alignment_warmup_matches_query_time() { } // Must have a page index range (proves our test file has page indexes) - assert!(!index_ranges.is_empty(), - "test file must have page index data; got {} ranges", index_ranges.len()); + assert!( + !index_ranges.is_empty(), + "test file must have page index data; got {} ranges", + index_ranges.len() + ); // Warmup: read actual bytes and put into metadata Foyer via store.put_metadata() let file_bytes = std::fs::read(parquet_dir.path().join("page_idx.parquet")).unwrap(); - let range_data: Vec = index_ranges.iter() + let range_data: Vec = index_ranges + .iter() .map(|r| bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])) .collect(); store.put_metadata("page_idx.parquet", &index_ranges, &range_data); @@ -756,19 +1030,35 @@ fn page_index_key_alignment_warmup_matches_query_time() { let global_range = &index_ranges[0]; for rg in parquet_metadata.row_groups() { for (col_idx, col) in rg.columns().iter().enumerate() { - if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + if let (Some(offset), Some(length)) = + (col.column_index_offset(), col.column_index_length()) + { let start = offset as u64; let end = start + length as u64; - assert!(start >= global_range.start && end <= global_range.end, + assert!( + start >= global_range.start && end <= global_range.end, "col {} column_index {}..{} must be within global range {}..{}", - col_idx, start, end, global_range.start, global_range.end); + col_idx, + start, + end, + global_range.start, + global_range.end + ); } - if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(offset), Some(length)) = + (col.offset_index_offset(), col.offset_index_length()) + { let start = offset as u64; let end = start + length as u64; - assert!(start >= global_range.start && end <= global_range.end, + assert!( + start >= global_range.start && end <= global_range.end, "col {} offset_index {}..{} must be within global range {}..{}", - col_idx, start, end, global_range.start, global_range.end); + col_idx, + start, + end, + global_range.start, + global_range.end + ); } } } @@ -776,31 +1066,46 @@ fn page_index_key_alignment_warmup_matches_query_time() { // Assert: the exact cache key we expect is in metadata Foyer let expected_key = range_cache_key("page_idx.parquet", global_range.start, global_range.end); block_on(async { - assert!(cache.metadata_cache().get(&expected_key).await.is_some(), + assert!( + cache.metadata_cache().get(&expected_key).await.is_some(), "exact global page index key {}..{} must be in metadata Foyer", - global_range.start, global_range.end); + global_range.start, + global_range.end + ); // Assert: page index range is NOT in data Foyer (put_metadata goes only to metadata) - assert!(cache.data_cache().get(&expected_key).await.is_none(), - "page index range must NOT be in data Foyer — only metadata Foyer"); + assert!( + cache.data_cache().get(&expected_key).await.is_none(), + "page index range must NOT be in data Foyer — only metadata Foyer" + ); }); // Also warmup the footer (last 8KB) let footer_start = file_size.saturating_sub(8 * 1024); - warmup_metadata(&cache, parquet_dir.path(), "page_idx.parquet", footer_start, file_size); + warmup_metadata( + &cache, + parquet_dir.path(), + "page_idx.parquet", + footer_start, + file_size, + ); // Delete local file — all reads must come from metadata cache std::fs::remove_file(parquet_dir.path().join("page_idx.parquet")).unwrap(); block_on(async { // Read the global page index range via store — must succeed from metadata cache - let result = store.get_range(&path, global_range.start..global_range.end).await; + let result = store + .get_range(&path, global_range.start..global_range.end) + .await; assert!(result.is_ok(), "global page index range ({}..{}) must be served from metadata cache after file deletion", global_range.start, global_range.end); let bytes = result.unwrap(); - assert_eq!(bytes, range_data[0], - "page index bytes must match warmup data byte-for-byte"); + assert_eq!( + bytes, range_data[0], + "page index bytes must match warmup data byte-for-byte" + ); }); } @@ -826,9 +1131,8 @@ fn concurrent_shard_warmup_does_not_corrupt() { let footer_start = file_size.saturating_sub(8 * 1024); // Read footer bytes before spawning tasks let file_bytes = std::fs::read(parquet_dir.path().join(&filename)).unwrap(); - let footer_bytes = bytes::Bytes::copy_from_slice( - &file_bytes[footer_start as usize..file_size as usize] - ); + let footer_bytes = + bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..file_size as usize]); file_info.push((filename, file_size, footer_bytes)); } @@ -864,10 +1168,17 @@ fn concurrent_shard_warmup_does_not_corrupt() { let footer_start = file_size.saturating_sub(8 * 1024); let key = range_cache_key(filename, footer_start, *file_size); let cached = cache.metadata_cache().get(&key).await; - assert!(cached.is_some(), - "metadata for {} must be retrievable after concurrent warmup", filename); - assert_eq!(cached.unwrap(), *expected_bytes, - "metadata for {} must not be corrupted by concurrent warmup", filename); + assert!( + cached.is_some(), + "metadata for {} must be retrievable after concurrent warmup", + filename + ); + assert_eq!( + cached.unwrap(), + *expected_bytes, + "metadata for {} must not be corrupted by concurrent warmup", + filename + ); } }); } @@ -888,15 +1199,36 @@ fn metadata_foyer_capacity_breach_graceful_degradation() { // Create a metadata cache with very small capacity (1MB) let data_cache = Arc::new(FoyerCache::new( - DISK_BYTES, data_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + DISK_BYTES, + data_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let metadata_cache = Arc::new(FoyerCache::new( - 1 * 1024 * 1024, meta_dir.path(), BLOCK_SIZE, BUFFER_POOL, SUBMIT_QUEUE, - "auto", 0, 0.0, 0, false, + 1 * 1024 * 1024, + meta_dir.path(), + BLOCK_SIZE, + BUFFER_POOL, + SUBMIT_QUEUE, + "auto", + 0, + 0.0, + 0, + false, )); let cache = Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); - let store = create_store(parquet_dir.path(), cache.clone(), "overflow.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "overflow.parquet", + file_size, + ); let path = Path::from("overflow.parquet"); // Read file bytes for warmup @@ -927,7 +1259,11 @@ fn metadata_foyer_capacity_breach_graceful_degradation() { let key = range_cache_key("overflow.parquet", *start, *end); match cache.metadata_cache().get(&key).await { Some(cached) => { - assert_eq!(&cached, expected, "cached metadata at {}..{} must match", start, end); + assert_eq!( + &cached, expected, + "cached metadata at {}..{} must match", + start, end + ); hits += 1; } None => { @@ -978,58 +1314,98 @@ fn page_index_ranges_match_parquet_crate_computation() { // Verify that every individual column's range is fully contained within the merged range for (col_idx, col) in rg.columns().iter().enumerate() { - if let (Some(offset), Some(length)) = (col.column_index_offset(), col.column_index_length()) { + if let (Some(offset), Some(length)) = + (col.column_index_offset(), col.column_index_length()) + { let start = offset as u64; let end = start + length as u64; let merged = col_idx_range.as_ref().unwrap(); - assert!(start >= merged.start && end <= merged.end, + assert!( + start >= merged.start && end <= merged.end, "RG {} col {} column_index range {}..{} must be contained in merged {}..{}", - rg_idx, col_idx, start, end, merged.start, merged.end); + rg_idx, + col_idx, + start, + end, + merged.start, + merged.end + ); } - if let (Some(offset), Some(length)) = (col.offset_index_offset(), col.offset_index_length()) { + if let (Some(offset), Some(length)) = + (col.offset_index_offset(), col.offset_index_length()) + { let start = offset as u64; let end = start + length as u64; let merged = off_idx_range.as_ref().unwrap(); - assert!(start >= merged.start && end <= merged.end, + assert!( + start >= merged.start && end <= merged.end, "RG {} col {} offset_index range {}..{} must be contained in merged {}..{}", - rg_idx, col_idx, start, end, merged.start, merged.end); + rg_idx, + col_idx, + start, + end, + merged.start, + merged.end + ); } } // Verify the merged range is tight (start == min offset, end == max offset+length) if let Some(ref merged) = col_idx_range { - let actual_min = rg.columns().iter() + let actual_min = rg + .columns() + .iter() .filter_map(|c| c.column_index_offset().map(|o| o as u64)) - .min().unwrap(); - let actual_max = rg.columns().iter() + .min() + .unwrap(); + let actual_max = rg + .columns() + .iter() .filter_map(|c| { - c.column_index_offset().and_then(|o| { - c.column_index_length().map(|l| o as u64 + l as u64) - }) + c.column_index_offset() + .and_then(|o| c.column_index_length().map(|l| o as u64 + l as u64)) }) - .max().unwrap(); - assert_eq!(merged.start, actual_min, - "RG {} column_index merged start must equal min offset", rg_idx); - assert_eq!(merged.end, actual_max, - "RG {} column_index merged end must equal max offset+length", rg_idx); + .max() + .unwrap(); + assert_eq!( + merged.start, actual_min, + "RG {} column_index merged start must equal min offset", + rg_idx + ); + assert_eq!( + merged.end, actual_max, + "RG {} column_index merged end must equal max offset+length", + rg_idx + ); } if let Some(ref merged) = off_idx_range { - let actual_min = rg.columns().iter() + let actual_min = rg + .columns() + .iter() .filter_map(|c| c.offset_index_offset().map(|o| o as u64)) - .min().unwrap(); - let actual_max = rg.columns().iter() + .min() + .unwrap(); + let actual_max = rg + .columns() + .iter() .filter_map(|c| { - c.offset_index_offset().and_then(|o| { - c.offset_index_length().map(|l| o as u64 + l as u64) - }) + c.offset_index_offset() + .and_then(|o| c.offset_index_length().map(|l| o as u64 + l as u64)) }) - .max().unwrap(); - assert_eq!(merged.start, actual_min, - "RG {} offset_index merged start must equal min offset", rg_idx); - assert_eq!(merged.end, actual_max, - "RG {} offset_index merged end must equal max offset+length", rg_idx); + .max() + .unwrap(); + assert_eq!( + merged.start, actual_min, + "RG {} offset_index merged start must equal min offset", + rg_idx + ); + assert_eq!( + merged.end, actual_max, + "RG {} offset_index merged end must equal max offset+length", + rg_idx + ); } } } @@ -1047,18 +1423,31 @@ fn get_opts_probe_does_not_pollute_metadata_foyer() { let file_size = write_test_parquet(parquet_dir.path(), "nopollute.parquet", 3); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "nopollute.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "nopollute.parquet", + file_size, + ); let path = Path::from("nopollute.parquet"); // First, put only the footer into metadata cache via explicit warmup let footer_start = file_size.saturating_sub(8 * 1024); - warmup_metadata(&cache, parquet_dir.path(), "nopollute.parquet", footer_start, file_size); + warmup_metadata( + &cache, + parquet_dir.path(), + "nopollute.parquet", + footer_start, + file_size, + ); block_on(async { // Verify footer IS in metadata cache let footer_key = range_cache_key("nopollute.parquet", footer_start, file_size); - assert!(cache.metadata_cache().get(&footer_key).await.is_some(), - "footer must be in metadata cache after warmup"); + assert!( + cache.metadata_cache().get(&footer_key).await.is_some(), + "footer must be in metadata cache after warmup" + ); // Now read a column data range via get_range (simulates CachedMetadataReader::get_bytes) // This goes through get_opts path @@ -1071,17 +1460,23 @@ fn get_opts_probe_does_not_pollute_metadata_foyer() { let data_key = range_cache_key("nopollute.parquet", data_start, data_end); assert!(cache.metadata_cache().get(&data_key).await.is_none(), "column data range must NOT be in metadata cache — get_opts must not auto-populate metadata"); - assert!(cache.data_cache().get(&data_key).await.is_some(), - "get_opts must populate data cache on miss"); + assert!( + cache.data_cache().get(&data_key).await.is_some(), + "get_opts must populate data cache on miss" + ); // Contrast: reading via get_ranges DOES populate data cache let data2 = store.get_ranges(&path, &[100u64..4196]).await.unwrap(); assert_eq!(data2[0].len(), 4096); let data2_key = range_cache_key("nopollute.parquet", 100, 4196); - assert!(cache.data_cache().get(&data2_key).await.is_some(), - "get_ranges must populate data cache"); - assert!(cache.metadata_cache().get(&data2_key).await.is_none(), - "get_ranges must NOT populate metadata cache"); + assert!( + cache.data_cache().get(&data2_key).await.is_some(), + "get_ranges must populate data cache" + ); + assert!( + cache.metadata_cache().get(&data2_key).await.is_none(), + "get_ranges must NOT populate metadata cache" + ); }); } @@ -1114,7 +1509,12 @@ fn restart_no_s3_for_previously_warmed_metadata() { let mut warmed_data: Vec = Vec::new(); { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "restart_meta.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "restart_meta.parquet", + file_size, + ); // Read file and compute page index ranges let file = std::fs::File::open(parquet_dir.path().join("restart_meta.parquet")).unwrap(); @@ -1125,23 +1525,31 @@ fn restart_no_s3_for_previously_warmed_metadata() { // Footer range (last 8KB — large enough to survive Foyer block alignment) let footer_start = file_size.saturating_sub(8 * 1024); warmed_ranges.push(footer_start..file_size); - warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..file_size as usize])); + warmed_data.push(bytes::Bytes::copy_from_slice( + &file_bytes[footer_start as usize..file_size as usize], + )); // Page index ranges for rg in parquet_metadata.row_groups() { let (col_idx_range, off_idx_range) = compute_per_rg_page_index_ranges(rg); if let Some(r) = col_idx_range { - warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + warmed_data.push(bytes::Bytes::copy_from_slice( + &file_bytes[r.start as usize..r.end as usize], + )); warmed_ranges.push(r); } if let Some(r) = off_idx_range { - warmed_data.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + warmed_data.push(bytes::Bytes::copy_from_slice( + &file_bytes[r.start as usize..r.end as usize], + )); warmed_ranges.push(r); } } - assert!(warmed_ranges.len() >= 2, - "must have footer + at least 1 page index range"); + assert!( + warmed_ranges.len() >= 2, + "must have footer + at least 1 page index range" + ); // Put all ranges into metadata Foyer store.put_metadata("restart_meta.parquet", &warmed_ranges, &warmed_data); @@ -1160,26 +1568,34 @@ fn restart_no_s3_for_previously_warmed_metadata() { for (i, (range, expected)) in warmed_ranges.iter().zip(warmed_data.iter()).enumerate() { let key = range_cache_key("restart_meta.parquet", range.start, range.end); if let Some(cached) = cache.metadata_cache().get(&key).await { - assert_eq!(&cached, expected, + assert_eq!( + &cached, expected, "recovered range {} ({}..{}) bytes must match original warmup data", - i, range.start, range.end); + i, range.start, range.end + ); recovered_count += 1; } } // The footer (range 0) must survive — it is the largest entry and most // critical for restart without S3 calls. - let footer_key = range_cache_key("restart_meta.parquet", - warmed_ranges[0].start, warmed_ranges[0].end); + let footer_key = range_cache_key( + "restart_meta.parquet", + warmed_ranges[0].start, + warmed_ranges[0].end, + ); assert!(cache.metadata_cache().get(&footer_key).await.is_some(), "footer must survive SSD recovery — this is the primary restart-without-S3 guarantee"); // At least the footer should be recovered; page index ranges may or may not // depending on Foyer's block packing. The key correctness guarantee is that // recovered data is byte-for-byte correct (verified above). - assert!(recovered_count >= 1, + assert!( + recovered_count >= 1, "at least the footer must survive SSD recovery (recovered {} of {} ranges)", - recovered_count, warmed_ranges.len()); + recovered_count, + warmed_ranges.len() + ); }); } } @@ -1223,17 +1639,23 @@ fn production_warmup_then_query_from_cache_only() { // Footer let footer_start = file_size.saturating_sub(64 * 1024); metadata_ranges.push(footer_start..file_size); - metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..file_size as usize])); + metadata_bytes.push(bytes::Bytes::copy_from_slice( + &file_bytes[footer_start as usize..file_size as usize], + )); // Page/offset indexes per RG for rg in parquet_metadata.row_groups() { let (col_idx_range, off_idx_range) = compute_per_rg_page_index_ranges(rg); if let Some(r) = col_idx_range { - metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + metadata_bytes.push(bytes::Bytes::copy_from_slice( + &file_bytes[r.start as usize..r.end as usize], + )); metadata_ranges.push(r); } if let Some(r) = off_idx_range { - metadata_bytes.push(bytes::Bytes::copy_from_slice(&file_bytes[r.start as usize..r.end as usize])); + metadata_bytes.push(bytes::Bytes::copy_from_slice( + &file_bytes[r.start as usize..r.end as usize], + )); metadata_ranges.push(r); } } @@ -1246,8 +1668,13 @@ fn production_warmup_then_query_from_cache_only() { let (ctx, schema) = setup_df_session(store.clone(), "prod.parquet", "prod", None).await; // Run query — this reads column data via get_ranges → data Foyer - let batches = ctx.sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") - .await.unwrap().collect().await.unwrap(); + let batches = ctx + .sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") + .await + .unwrap() + .collect() + .await + .unwrap(); let rows1: usize = batches.iter().map(|b| b.num_rows()).sum(); assert!(rows1 > 0, "first query must return rows"); @@ -1257,8 +1684,13 @@ fn production_warmup_then_query_from_cache_only() { // ── Step 4: Second query — must succeed entirely from cache ─────────── let (ctx2, _) = setup_df_session(store.clone(), "prod.parquet", "prod", Some(schema)).await; - let batches2 = ctx2.sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") - .await.unwrap().collect().await.unwrap(); + let batches2 = ctx2 + .sql("SELECT col_0, col_1 FROM prod WHERE col_0 < 50") + .await + .unwrap() + .collect() + .await + .unwrap(); let rows2: usize = batches2.iter().map(|b| b.num_rows()).sum(); assert_eq!(rows2, rows1, "second query (file deleted) must return same rows as first — proves full cache correctness"); @@ -1288,20 +1720,35 @@ fn restart_with_file_deleted_query_succeeds_from_foyer_only() { // ── Session 1: warmup + query (populates both caches) ──────────────────── { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "restart_full.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "restart_full.parquet", + file_size, + ); // Warmup: put footer into metadata Foyer let footer_start = file_size.saturating_sub(64 * 1024); let file_bytes = std::fs::read(parquet_dir.path().join("restart_full.parquet")).unwrap(); let footer_bytes = bytes::Bytes::copy_from_slice(&file_bytes[footer_start as usize..]); - store.put_metadata("restart_full.parquet", &[footer_start..file_size], &[footer_bytes]); + store.put_metadata( + "restart_full.parquet", + &[footer_start..file_size], + &[footer_bytes], + ); // Run DataFusion query — populates data Foyer with column data let (rows, schema) = block_on(async { - let (ctx, schema) = setup_df_session(store.clone(), "restart_full.parquet", "t", None).await; - - let batches = ctx.sql("SELECT id FROM t WHERE id < 10 ORDER BY id") - .await.unwrap().collect().await.unwrap(); + let (ctx, schema) = + setup_df_session(store.clone(), "restart_full.parquet", "t", None).await; + + let batches = ctx + .sql("SELECT id FROM t WHERE id < 10 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); let rows = batches.iter().map(|b| b.num_rows()).sum::(); (rows, schema) }); @@ -1318,24 +1765,41 @@ fn restart_with_file_deleted_query_succeeds_from_foyer_only() { // ── Session 2: new Foyer instances, file gone — query from Foyer only ──── { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "restart_full.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "restart_full.parquet", + file_size, + ); let rows = block_on(async { // Use saved schema from session 1 (in production, CatalogSnapshot provides this) - let (ctx, _) = setup_df_session(store.clone(), "restart_full.parquet", "t", Some(saved_schema)).await; - - let batches = ctx.sql("SELECT id FROM t WHERE id < 10 ORDER BY id") - .await.unwrap().collect().await.unwrap(); + let (ctx, _) = setup_df_session( + store.clone(), + "restart_full.parquet", + "t", + Some(saved_schema), + ) + .await; + + let batches = ctx + .sql("SELECT id FROM t WHERE id < 10 ORDER BY id") + .await + .unwrap() + .collect() + .await + .unwrap(); batches.iter().map(|b| b.num_rows()).sum::() }); - assert_eq!(rows, expected_rows, + assert_eq!( + rows, expected_rows, "restart query (file deleted, new Foyer instances) must return same rows — \ - proves full lifecycle: warmup → persist → recover → serve from Foyer only"); + proves full lifecycle: warmup → persist → recover → serve from Foyer only" + ); } } - /// get_opts auto-populates data Foyer on miss — repeated single-range reads /// hit data cache on second access (simulates CachedMetadataReader::get_bytes /// for column chunks in IndexedExec path). @@ -1347,7 +1811,12 @@ fn get_opts_populates_data_cache_on_miss() { let file_size = write_test_parquet(parquet_dir.path(), "indexed.parquet", 3); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "indexed.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "indexed.parquet", + file_size, + ); let path = Path::from("indexed.parquet"); block_on(async { @@ -1359,18 +1828,24 @@ fn get_opts_populates_data_cache_on_miss() { // Verify: entry is now in data Foyer (not metadata Foyer) let key = range_cache_key("indexed.parquet", 0, 4096); - assert!(cache.data_cache().get(&key).await.is_some(), - "first read must populate data Foyer"); - assert!(cache.metadata_cache().get(&key).await.is_none(), - "get_opts must NOT populate metadata Foyer"); + assert!( + cache.data_cache().get(&key).await.is_some(), + "first read must populate data Foyer" + ); + assert!( + cache.metadata_cache().get(&key).await.is_none(), + "get_opts must NOT populate metadata Foyer" + ); // Second read: hits data Foyer (no local FS needed) // Delete file to prove it comes from cache std::fs::remove_file(parquet_dir.path().join("indexed.parquet")).unwrap(); let bytes2 = store.get_range(&path, range).await.unwrap(); - assert_eq!(bytes2, bytes1, - "second read must return same bytes from data Foyer cache"); + assert_eq!( + bytes2, bytes1, + "second read must return same bytes from data Foyer cache" + ); }); } @@ -1384,7 +1859,12 @@ fn get_opts_skips_caching_for_large_ranges() { let file_size = write_test_parquet(parquet_dir.path(), "threshold.parquet", 5); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "threshold.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "threshold.parquet", + file_size, + ); let path = Path::from("threshold.parquet"); // Set threshold to 2KB — anything larger skips caching @@ -1397,22 +1877,28 @@ fn get_opts_skips_caching_for_large_ranges() { assert!(!bytes.is_empty()); let large_key = range_cache_key("threshold.parquet", large_range.start, large_range.end); - assert!(cache.data_cache().get(&large_key).await.is_none(), - "range > threshold must NOT be cached"); + assert!( + cache.data_cache().get(&large_key).await.is_none(), + "range > threshold must NOT be cached" + ); // Read 1KB range (< 2KB threshold) — should be cached let small_range = 0u64..1024.min(file_size); let _ = store.get_range(&path, small_range.clone()).await.unwrap(); let small_key = range_cache_key("threshold.parquet", small_range.start, small_range.end); - assert!(cache.data_cache().get(&small_key).await.is_some(), - "range < threshold must be cached"); + assert!( + cache.data_cache().get(&small_key).await.is_some(), + "range < threshold must be cached" + ); // Dynamic update: increase threshold to 8KB — now 4KB is cached cache.update_max_data_entry_size(8192); let _ = store.get_range(&path, large_range.clone()).await.unwrap(); - assert!(cache.data_cache().get(&large_key).await.is_some(), - "after threshold increase, 4KB range must be cached"); + assert!( + cache.data_cache().get(&large_key).await.is_some(), + "after threshold increase, 4KB range must be cached" + ); }); } @@ -1457,18 +1943,34 @@ fn small_file_warmup_persists_every_range_to_metadata_tier() { // 11 columns × 1 row group → a few-KB file, matching the production shape // (col_count=11, rg_count=1, size ≈ 3 KB). let file_size = write_page_indexed_parquet(parquet_dir.path(), "small.parquet", 1, 11); - assert!(file_size < 64 * 1024, "fixture must be smaller than the 64KB footer prefetch"); + assert!( + file_size < 64 * 1024, + "fixture must be smaller than the 64KB footer prefetch" + ); let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "small.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "small.parquet", + file_size, + ); let file = std::fs::File::open(parquet_dir.path().join("small.parquet")).unwrap(); let reader = SerializedFileReader::new(file).unwrap(); let ranges = production_warmup_ranges(reader.metadata(), file_size); - assert_eq!(ranges.len(), 4, "expected CI, OI, footer, postscript ranges"); + assert_eq!( + ranges.len(), + 4, + "expected CI, OI, footer, postscript ranges" + ); // Root-cause quirk: for a sub-64KB file the footer range is the whole file. - assert_eq!(ranges[2], 0..file_size, "small-file footer range collapses to the whole file"); + assert_eq!( + ranges[2], + 0..file_size, + "small-file footer range collapses to the whole file" + ); block_on(async { let path = Path::from("small.parquet"); @@ -1481,7 +1983,9 @@ fn small_file_warmup_persists_every_range_to_metadata_tier() { cache.metadata_cache().get(&key).await.is_some(), "warmed range {}..{} ({} bytes) must be in the metadata tier \ (prod showed only the footer key persisting)", - r.start, r.end, r.end - r.start + r.start, + r.end, + r.end - r.start ); } }); @@ -1518,7 +2022,12 @@ fn small_file_warmed_ranges_survive_restart() { // Session 1: warm all ranges, then drop → flush to SSD + persist key_index. { let cache = create_tiered_cache(data_dir.path(), meta_dir.path()); - let store = create_store(parquet_dir.path(), cache.clone(), "small_restart.parquet", file_size); + let store = create_store( + parquet_dir.path(), + cache.clone(), + "small_restart.parquet", + file_size, + ); store.put_metadata("small_restart.parquet", &ranges, &datas); } @@ -1533,9 +2042,16 @@ fn small_file_warmed_ranges_survive_restart() { recovered.is_some(), "range[{}] {}..{} ({} bytes) must survive Foyer SSD recovery \ (prod showed only the whole-file footer surviving)", - i, r.start, r.end, r.end - r.start + i, + r.start, + r.end, + r.end - r.start + ); + assert_eq!( + recovered.unwrap(), + datas[i], + "recovered bytes must match the warmed bytes" ); - assert_eq!(recovered.unwrap(), datas[i], "recovered bytes must match the warmed bytes"); } }); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs index d01273b9693a2..63292ec4f9170 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/approx_distinct_safe.rs @@ -13,18 +13,20 @@ //! TODO: Evaluate if DF's UDAF extension points (e.g. AccumulatorArgs overrides or //! custom PhysicalOptimizerRule to inject CastExec) can avoid same-name overrides. -use std::sync::Arc; use datafusion::arrow::array::{Array, ArrayRef, StringArray, StringViewArray}; use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; use datafusion::common::{downcast_value, Result}; use datafusion::execution::context::SessionContext; +use datafusion::functions_aggregate::approx_distinct::approx_distinct_udaf; use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; use datafusion::logical_expr::{Accumulator, AggregateUDFImpl, Signature, Volatility}; -use datafusion::functions_aggregate::approx_distinct::approx_distinct_udaf; use datafusion::scalar::ScalarValue; +use std::sync::Arc; pub fn register_all(ctx: &SessionContext) { - ctx.register_udaf(datafusion::logical_expr::AggregateUDF::from(SafeApproxDistinct::new())); + ctx.register_udaf(datafusion::logical_expr::AggregateUDF::from( + SafeApproxDistinct::new(), + )); } #[derive(Debug, PartialEq, Eq, Hash)] @@ -95,7 +97,8 @@ impl Accumulator for Utf8ViewToUtf8Accumulator { let view_array: &StringViewArray = downcast_value!(values[0], StringViewArray); // Materialize as StringArray — consistent hashing via StringHLLAccumulator let string_array: StringArray = view_array.iter().collect(); - self.inner.update_batch(&[Arc::new(string_array) as ArrayRef]) + self.inner + .update_batch(&[Arc::new(string_array) as ArrayRef]) } fn merge_batch(&mut self, states: &[ArrayRef]) -> Result<()> { diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/internal_pattern.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/internal_pattern.rs index b569b503c442a..d5e54c2ab7379 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/internal_pattern.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/internal_pattern.rs @@ -50,7 +50,9 @@ use datafusion::arrow::datatypes::{DataType, Field, FieldRef, Fields}; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; -use datafusion::logical_expr::{Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility}; +use datafusion::logical_expr::{ + Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility, +}; use datafusion::physical_expr::expressions::Literal; use crate::patterns::brain::{BrainLogParser, PatternEntry}; @@ -177,7 +179,10 @@ impl AggregateUDFImpl for InternalPatternUdaf { DataType::List(_) | DataType::LargeList(_) | DataType::FixedSizeList(_, _) ); let config = AggConfig::from_args(&acc_args)?; - Ok(Box::new(InternalPatternAccumulator::new(arg0_is_list, config))) + Ok(Box::new(InternalPatternAccumulator::new( + arg0_is_list, + config, + ))) } fn state_fields(&self, args: StateFieldsArgs) -> Result> { @@ -343,7 +348,11 @@ impl InternalPatternAccumulator { } return Ok(()); } - exec_err!("{}: expected string column, got {:?}", NAME, arr.data_type()) + exec_err!( + "{}: expected string column, got {:?}", + NAME, + arr.data_type() + ) } fn append_list(&mut self, arr: &ArrayRef) -> Result<()> { @@ -405,12 +414,7 @@ impl Accumulator for InternalPatternAccumulator { } fn size(&self) -> usize { - std::mem::size_of_val(self) - + self - .buffer - .iter() - .map(|s| s.capacity()) - .sum::() + std::mem::size_of_val(self) + self.buffer.iter().map(|s| s.capacity()).sum::() } fn state(&mut self) -> Result> { @@ -438,7 +442,10 @@ fn sorted_pattern_entries(stats: HashMap) -> Vec@.`) and the tokens map /// captures the extracted variables; otherwise tokens is empty and pattern /// stays raw (`<*>@<*>.<*>`). -fn build_list_struct_scalar(entries: &[PatternEntry], show_numbered_token: bool) -> Result { +fn build_list_struct_scalar( + entries: &[PatternEntry], + show_numbered_token: bool, +) -> Result { let array = build_list_struct_array(entries, show_numbered_token)?; Ok(ScalarValue::List(Arc::new(array))) } @@ -451,7 +458,10 @@ fn empty_list_struct_scalar() -> Result { /// Builds a one-row `ListArray` whose single element is the per-pattern /// StructArray with `entries.len()` rows. -fn build_list_struct_array(entries: &[PatternEntry], show_numbered_token: bool) -> Result { +fn build_list_struct_array( + entries: &[PatternEntry], + show_numbered_token: bool, +) -> Result { let struct_array = build_struct_array(entries, show_numbered_token)?; let offsets = OffsetBuffer::new(vec![0i32, entries.len() as i32].into()); let item_field = Field::new("item", struct_element_type(), true); @@ -559,14 +569,13 @@ mod tests { (0..s.len()) .map(|i| { let sample_inner = sample_logs_col.value(i); - let samples = sample_inner - .as_any() - .downcast_ref::() - .unwrap(); + let samples = sample_inner.as_any().downcast_ref::().unwrap(); PatternEntry { pattern: pattern_col.value(i).to_string(), pattern_count: count_col.value(i) as u64, - sample_logs: (0..samples.len()).map(|j| samples.value(j).to_string()).collect(), + sample_logs: (0..samples.len()) + .map(|j| samples.value(j).to_string()) + .collect(), } }) .collect() @@ -596,7 +605,10 @@ mod tests { ]; let entries = run(&logs, false); let top = &entries[0]; - assert_eq!(top.pattern_count, 5, "expected 5 in top group, got {entries:?}"); + assert_eq!( + top.pattern_count, 5, + "expected 5 in top group, got {entries:?}" + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/list_merge.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/list_merge.rs index 7965f653a4989..04e8931978cf9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/list_merge.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/list_merge.rs @@ -27,7 +27,9 @@ use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; -use datafusion::logical_expr::{Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility}; +use datafusion::logical_expr::{ + Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility, +}; pub fn register_all(ctx: &SessionContext) { ctx.register_udaf(AggregateUDF::from(ListMergeUdaf::new(false))); @@ -44,7 +46,11 @@ pub struct ListMergeUdaf { impl ListMergeUdaf { pub fn new(distinct: bool) -> Self { Self { - name: if distinct { "list_merge_distinct" } else { "list_merge" }, + name: if distinct { + "list_merge_distinct" + } else { + "list_merge" + }, distinct, signature: Signature::any(1, Volatility::Immutable), } @@ -95,10 +101,16 @@ impl AggregateUDFImpl for ListMergeUdaf { .map(|e| e.data_type(acc_args.schema)) .transpose()? .ok_or_else(|| { - datafusion::common::DataFusionError::Execution(format!("{}: missing argument", self.name)) + datafusion::common::DataFusionError::Execution(format!( + "{}: missing argument", + self.name + )) })?; let element_type = list_element_type(&raw_arg0)?; - Ok(Box::new(ListMergeAccumulator::new(element_type, self.distinct))) + Ok(Box::new(ListMergeAccumulator::new( + element_type, + self.distinct, + ))) } fn state_fields(&self, args: StateFieldsArgs) -> Result> { @@ -137,7 +149,10 @@ impl ListMergeAccumulator { } fn current_list(&self) -> ScalarValue { - ScalarValue::List(ScalarValue::new_list_nullable(&self.buf, &self.element_type)) + ScalarValue::List(ScalarValue::new_list_nullable( + &self.buf, + &self.element_type, + )) } } @@ -214,7 +229,13 @@ mod tests { let inner = l.value(0); let typed = inner.as_any().downcast_ref::().unwrap(); (0..typed.len()) - .map(|i| if typed.is_null(i) { None } else { Some(typed.value(i)) }) + .map(|i| { + if typed.is_null(i) { + None + } else { + Some(typed.value(i)) + } + }) .collect() } other => panic!("expected List, got {other:?}"), @@ -226,7 +247,10 @@ mod tests { let mut acc = ListMergeAccumulator::new(DataType::Int32, false); let input = list_of_ints(&[&[Some(1), Some(2)], &[Some(3), Some(4), Some(5)]]); acc.update_batch(&[input]).unwrap(); - assert_eq!(extract_ints(acc.evaluate().unwrap()), vec![Some(1), Some(2), Some(3), Some(4), Some(5)]); + assert_eq!( + extract_ints(acc.evaluate().unwrap()), + vec![Some(1), Some(2), Some(3), Some(4), Some(5)] + ); } #[test] @@ -252,7 +276,10 @@ mod tests { let mut acc = ListMergeAccumulator::new(DataType::Int32, false); acc.update_batch(&[input]).unwrap(); - assert_eq!(extract_ints(acc.evaluate().unwrap()), vec![Some(1), Some(2), Some(3)]); + assert_eq!( + extract_ints(acc.evaluate().unwrap()), + vec![Some(1), Some(2), Some(3)] + ); } #[test] @@ -271,7 +298,9 @@ mod tests { ScalarValue::List(l) => { let inner = l.value(0); let typed = inner.as_any().downcast_ref::().unwrap(); - (0..typed.len()).map(|i| typed.value(i).to_string()).collect::>() + (0..typed.len()) + .map(|i| typed.value(i).to_string()) + .collect::>() } o => panic!("expected list, got {o:?}"), }; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/os_count_distinct.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/os_count_distinct.rs index 2ecbd1d4cb2a5..fe914a7bc9d35 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/os_count_distinct.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/os_count_distinct.rs @@ -34,7 +34,9 @@ use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; -use datafusion::logical_expr::{Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility}; +use datafusion::logical_expr::{ + Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility, +}; pub fn register_all(ctx: &SessionContext) { ctx.register_udaf(AggregateUDF::from(OsCountDistinctUdaf::new())); @@ -47,7 +49,9 @@ pub struct OsCountDistinctUdaf { impl OsCountDistinctUdaf { pub fn new() -> Self { - Self { signature: Signature::any(1, Volatility::Immutable) } + Self { + signature: Signature::any(1, Volatility::Immutable), + } } } @@ -109,7 +113,10 @@ impl AggregateUDFImpl for OsCountDistinctUdaf { DataType::List(_) | DataType::LargeList(_) | DataType::FixedSizeList(_, _), ); let element_type = inner_element_type(&raw_arg0); - Ok(Box::new(OsCountDistinctAccumulator::new(element_type, arg0_is_list))) + Ok(Box::new(OsCountDistinctAccumulator::new( + element_type, + arg0_is_list, + ))) } fn state_fields(&self, args: StateFieldsArgs) -> Result> { @@ -142,7 +149,11 @@ pub struct OsCountDistinctAccumulator { impl OsCountDistinctAccumulator { pub fn new(element_type: DataType, arg0_is_list: bool) -> Self { - Self { element_type, seen: HashSet::new(), arg0_is_list } + Self { + element_type, + seen: HashSet::new(), + arg0_is_list, + } } fn add_from_array(&mut self, col: &ArrayRef) -> Result<()> { @@ -300,14 +311,12 @@ mod tests { let mut shard1 = OsCountDistinctAccumulator::new(DataType::Utf8, false); shard1 .update_batch(&[ - Arc::new(StringArray::from(vec![Some("a"), Some("b"), Some("a")])) as ArrayRef + Arc::new(StringArray::from(vec![Some("a"), Some("b"), Some("a")])) as ArrayRef, ]) .unwrap(); let mut shard2 = OsCountDistinctAccumulator::new(DataType::Utf8, false); shard2 - .update_batch(&[ - Arc::new(StringArray::from(vec![Some("b"), Some("c")])) as ArrayRef - ]) + .update_batch(&[Arc::new(StringArray::from(vec![Some("b"), Some("c")])) as ArrayRef]) .unwrap(); let s1: ArrayRef = match shard1.state().unwrap().pop().unwrap() { ScalarValue::List(l) => l, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/take.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/take.rs index 75fa30e439a3b..b135e05d70d0a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/take.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udaf/take.rs @@ -39,7 +39,9 @@ use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::function::{AccumulatorArgs, StateFieldsArgs}; -use datafusion::logical_expr::{Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility}; +use datafusion::logical_expr::{ + Accumulator, AggregateUDF, AggregateUDFImpl, Signature, Volatility, +}; use datafusion::physical_expr::expressions::Literal; const DEFAULT_LIMIT: i64 = 10; @@ -134,7 +136,11 @@ impl AggregateUDFImpl for TakeUdaf { ); let element_type = inner_element_type(&raw_arg0); let limit = limit_from_args(&acc_args)?; - Ok(Box::new(TakeAccumulator::new(element_type, limit, arg0_is_list))) + Ok(Box::new(TakeAccumulator::new( + element_type, + limit, + arg0_is_list, + ))) } fn state_fields(&self, args: StateFieldsArgs) -> Result> { @@ -349,7 +355,13 @@ mod tests { let inner = l.value(0); let typed = inner.as_any().downcast_ref::().unwrap(); (0..typed.len()) - .map(|i| if typed.is_null(i) { None } else { Some(typed.value(i)) }) + .map(|i| { + if typed.is_null(i) { + None + } else { + Some(typed.value(i)) + } + }) .collect() } other => panic!("expected list scalar, got {other:?}"), @@ -388,7 +400,12 @@ mod tests { // Simulate Calcite's "literal materialised as a Project column" case: // limit is None at construction, accumulator reads row 0 of arg 1. let mut acc = TakeAccumulator::new(DataType::Int32, None, false); - let values: ArrayRef = Arc::new(Int32Array::from(vec![Some(10), Some(20), Some(30), Some(40)])); + let values: ArrayRef = Arc::new(Int32Array::from(vec![ + Some(10), + Some(20), + Some(30), + Some(40), + ])); let n_col: ArrayRef = Arc::new(Int32Array::from(vec![3, 3, 3, 3])); acc.update_batch(&[values, n_col]).unwrap(); let out = match acc.evaluate().unwrap() { @@ -429,7 +446,13 @@ mod tests { let inner = l.value(0); let typed = inner.as_any().downcast_ref::().unwrap(); (0..typed.len()) - .map(|i| if typed.is_null(i) { None } else { Some(typed.value(i)) }) + .map(|i| { + if typed.is_null(i) { + None + } else { + Some(typed.value(i)) + } + }) .collect::>() } o => panic!("expected list result, got {o:?}"), @@ -496,7 +519,13 @@ mod tests { let inner = l.value(0); let typed = inner.as_any().downcast_ref::().unwrap(); (0..typed.len()) - .map(|i| if typed.is_null(i) { None } else { Some(typed.value(i).to_string()) }) + .map(|i| { + if typed.is_null(i) { + None + } else { + Some(typed.value(i).to_string()) + } + }) .collect::>() } o => panic!("expected list result, got {o:?}"), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/binary_to_base64.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/binary_to_base64.rs index f866cfbf1d6f5..0011bb1f37b42 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/binary_to_base64.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/binary_to_base64.rs @@ -24,7 +24,8 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; pub fn register_all(ctx: &SessionContext) { @@ -82,25 +83,33 @@ impl ScalarUDFImpl for BinaryToBase64Udf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { if args.args.len() != 1 { - return exec_err!("binary_to_base64 expects exactly 1 argument, got {}", args.args.len()); + return exec_err!( + "binary_to_base64 expects exactly 1 argument, got {}", + args.args.len() + ); } match &args.args[0] { ColumnarValue::Scalar(ScalarValue::Binary(opt)) => Ok(ColumnarValue::Scalar( ScalarValue::Utf8(opt.as_ref().map(|b| STANDARD.encode(b))), )), - ColumnarValue::Scalar(other) => exec_err!("binary_to_base64: expected Binary input, got {other:?}"), + ColumnarValue::Scalar(other) => { + exec_err!("binary_to_base64: expected Binary input, got {other:?}") + } ColumnarValue::Array(arr) => { - let bin = arr - .as_any() - .downcast_ref::() - .ok_or_else(|| { - datafusion::common::DataFusionError::Execution(format!( - "binary_to_base64: expected BinaryArray, got {:?}", - arr.data_type() - )) - })?; + let bin = arr.as_any().downcast_ref::().ok_or_else(|| { + datafusion::common::DataFusionError::Execution(format!( + "binary_to_base64: expected BinaryArray, got {:?}", + arr.data_type() + )) + })?; let out: StringArray = (0..bin.len()) - .map(|i| if bin.is_null(i) { None } else { Some(STANDARD.encode(bin.value(i))) }) + .map(|i| { + if bin.is_null(i) { + None + } else { + Some(STANDARD.encode(bin.value(i))) + } + }) .collect(); Ok(ColumnarValue::Array(Arc::new(out) as ArrayRef)) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conv.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conv.rs index 58961ad5aa0a0..e72e1cc9668d9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conv.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conv.rs @@ -222,12 +222,17 @@ mod tests { config_options: Arc::new(datafusion::config::ConfigOptions::new()), }; - let out = ConvUdf::new().invoke_with_args(args).expect("conv must accept Utf8View"); + let out = ConvUdf::new() + .invoke_with_args(args) + .expect("conv must accept Utf8View"); let arr = match out { ColumnarValue::Array(a) => a, _ => panic!("expected array output"), }; - let s = arr.as_any().downcast_ref::().expect("Utf8 output"); + let s = arr + .as_any() + .downcast_ref::() + .expect("Utf8 output"); assert_eq!(s.value(0), "1011"); // 11 base10 → base2 assert_eq!(s.value(1), "255"); // FF base16 → base10 assert!(s.is_null(2)); // null input → null diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/numeric_conversion.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/numeric_conversion.rs index f9ea2c4c0867f..ecb19968be68a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/numeric_conversion.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/numeric_conversion.rs @@ -26,7 +26,8 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; use once_cell::sync::Lazy; use regex::Regex; @@ -34,13 +35,27 @@ use regex::Regex; /// Register every conversion UDF (`num`, `auto`, `memk`, `rmcomma`, `rmunit`, /// `dur2sec`, `mstime`) on a session. pub fn register_all(ctx: &SessionContext) { - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Num))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Auto))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Memk))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Rmcomma))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Rmunit))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Dur2sec))); - ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new(NumericConversionFn::Mstime))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Num, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Auto, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Memk, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Rmcomma, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Rmunit, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Dur2sec, + ))); + ctx.register_udf(ScalarUDF::from(NumericConversionUdf::new( + NumericConversionFn::Mstime, + ))); } /// Which conversion function this UDF instance implements. @@ -167,7 +182,10 @@ impl ScalarUDFImpl for NumericConversionUdf { .map(|opt| opt.and_then(|s| self.kind.apply(s))) .collect(), other => { - return exec_err!("{}: expected Utf8 array, got {other:?}", self.kind.name()); + return exec_err!( + "{}: expected Utf8 array, got {other:?}", + self.kind.name() + ); } }; Ok(ColumnarValue::Array(Arc::new(out) as ArrayRef)) @@ -179,13 +197,13 @@ impl ScalarUDFImpl for NumericConversionUdf { // ── Per-function implementations ─────────────────────────────────────────────────────────── /// Gatekeeper for `num`. -static STARTS_WITH_SIGN_OR_DIGIT: Lazy = Lazy::new(|| Regex::new(r"^[+\-]?[\d.].*").unwrap()); +static STARTS_WITH_SIGN_OR_DIGIT: Lazy = + Lazy::new(|| Regex::new(r"^[+\-]?[\d.].*").unwrap()); /// Captures an optional sign, the numeric body (one of `digits`, `digits.digits`, `digits.`, or `.digits`), /// and an optional exponent. -static LEADING_NUMBER_WITH_UNIT: Lazy = Lazy::new(|| { - Regex::new(r"^([+\-]?(?:\d+\.?\d*|\.\d+)(?:[eE][+\-]?\d+)?)(.*)$").unwrap() -}); +static LEADING_NUMBER_WITH_UNIT: Lazy = + Lazy::new(|| Regex::new(r"^([+\-]?(?:\d+\.?\d*|\.\d+)(?:[eE][+\-]?\d+)?)(.*)$").unwrap()); /// Optional sign, number body, optional unit in {k,m,g} (case-insensitive). Bare number with no unit is accepted. static MEMK: Lazy = Lazy::new(|| Regex::new(r"^([+\-]?\d+\.?\d*)([kmgKMG])?$").unwrap()); @@ -194,14 +212,12 @@ static MEMK: Lazy = Lazy::new(|| Regex::new(r"^([+\-]?\d+\.?\d*)([kmgKMG] static CONTAINS_LETTER: Lazy = Lazy::new(|| Regex::new(r"[a-zA-Z]").unwrap()); /// `[D+]HH:MM:SS` — optional day count prefix separated by `+`. -static DUR2SEC: Lazy = Lazy::new(|| { - Regex::new(r"^(?:(\d+)\+)?(\d{1,2}):(\d{1,2}):(\d{1,2})$").unwrap() -}); +static DUR2SEC: Lazy = + Lazy::new(|| Regex::new(r"^(?:(\d+)\+)?(\d{1,2}):(\d{1,2}):(\d{1,2})$").unwrap()); /// Optional `MM:` prefix, required `SS`, optional `.SSS`. -static MSTIME: Lazy = Lazy::new(|| { - Regex::new(r"^(?:(\d{1,2}):)?(\d{1,2})(?:\.(\d{1,3}))?$").unwrap() -}); +static MSTIME: Lazy = + Lazy::new(|| Regex::new(r"^(?:(\d{1,2}):)?(\d{1,2})(?:\.(\d{1,3}))?$").unwrap()); const MB_TO_KB: f64 = 1024.0; const GB_TO_KB: f64 = 1024.0 * 1024.0; @@ -274,7 +290,12 @@ fn convert_dur2sec(s: &str) -> Option { return Some(n); } let caps = DUR2SEC.captures(s)?; - let days: u64 = caps.get(1).map(|m| m.as_str()).unwrap_or("0").parse().ok()?; + let days: u64 = caps + .get(1) + .map(|m| m.as_str()) + .unwrap_or("0") + .parse() + .ok()?; let hours: u64 = caps.get(2)?.as_str().parse().ok()?; let minutes: u64 = caps.get(3)?.as_str().parse().ok()?; let seconds: u64 = caps.get(4)?.as_str().parse().ok()?; @@ -291,7 +312,12 @@ fn convert_mstime(s: &str) -> Option { return Some(n); } let caps = MSTIME.captures(s)?; - let minutes: u64 = caps.get(1).map(|m| m.as_str()).unwrap_or("0").parse().ok()?; + let minutes: u64 = caps + .get(1) + .map(|m| m.as_str()) + .unwrap_or("0") + .parse() + .ok()?; let seconds: u64 = caps.get(2)?.as_str().parse().ok()?; if seconds >= 60 { return None; @@ -517,7 +543,12 @@ mod tests { NumericConversionFn::Dur2sec, NumericConversionFn::Mstime, ] { - assert_eq!(kind.apply(""), None, "{:?} should return None for empty", kind); + assert_eq!( + kind.apply(""), + None, + "{:?} should return None for empty", + kind + ); assert_eq!( kind.apply(" "), None, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/time_conversion.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/time_conversion.rs index e8b5881738db8..afa0708b92235 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/time_conversion.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/time_conversion.rs @@ -6,7 +6,6 @@ * compatible open source license. */ - //! * `ctime(value, format)` — UNIX epoch seconds → formatted time string. Fractional seconds are //! preserved as `nanos` adjustment //! * `mktime(value, format)` — formatted time string → UNIX epoch seconds as double. If the @@ -21,12 +20,17 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; pub fn register_all(ctx: &SessionContext) { - ctx.register_udf(ScalarUDF::from(TimeConversionUdf::new(TimeConversionFn::Ctime))); - ctx.register_udf(ScalarUDF::from(TimeConversionUdf::new(TimeConversionFn::Mktime))); + ctx.register_udf(ScalarUDF::from(TimeConversionUdf::new( + TimeConversionFn::Ctime, + ))); + ctx.register_udf(ScalarUDF::from(TimeConversionUdf::new( + TimeConversionFn::Mktime, + ))); } #[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)] @@ -70,7 +74,10 @@ pub struct TimeConversionUdf { impl TimeConversionUdf { fn new(kind: TimeConversionFn) -> Self { - Self { kind, signature: signature() } + Self { + kind, + signature: signature(), + } } } @@ -220,9 +227,9 @@ fn extract_scalar_string(column: &ColumnarValue, ctx: &str) -> Result Ok(opt.clone()), ColumnarValue::Scalar(other) => exec_err!("{ctx}: expected Utf8 scalar, got {other:?}"), - ColumnarValue::Array(_) => exec_err!( - "{ctx}: format must be a scalar literal, got an array" - ), + ColumnarValue::Array(_) => { + exec_err!("{ctx}: format must be a scalar literal, got an array") + } } } @@ -253,19 +260,13 @@ mod tests { ctime_default("1066507633"), Some("10/18/2003 20:07:13".to_string()) ); - assert_eq!( - ctime_default("0"), - Some("01/01/1970 00:00:00".to_string()) - ); + assert_eq!(ctime_default("0"), Some("01/01/1970 00:00:00".to_string())); } #[test] fn ctime_formats_epoch_with_default_format() { // 1_700_000_000 = 2023-11-14 22:13:20 UTC. - let out = format_ctime( - "1700000000", - &Some("%m/%d/%Y %H:%M:%S".to_string()), - ); + let out = format_ctime("1700000000", &Some("%m/%d/%Y %H:%M:%S".to_string())); assert_eq!(out, Some("11/14/2023 22:13:20".to_string())); } @@ -313,14 +314,8 @@ mod tests { #[test] fn mktime_default_format_matches() { - assert_eq!( - mktime_default("10/18/2003 20:07:13"), - Some(1_066_507_633.0) - ); - assert_eq!( - mktime_default("01/01/2000 00:00:00"), - Some(946_684_800.0) - ); + assert_eq!(mktime_default("10/18/2003 20:07:13"), Some(1_066_507_633.0)); + assert_eq!(mktime_default("01/01/2000 00:00:00"), Some(946_684_800.0)); assert_eq!(mktime_default("1066473433"), Some(1_066_473_433.0)); } @@ -348,10 +343,7 @@ mod tests { Some(946_684_800.0) ); assert_eq!( - parse_mktime( - "2003-10-18 20:07:13", - &Some("invalid format".to_string()) - ), + parse_mktime("2003-10-18 20:07:13", &Some("invalid format".to_string())), None ); assert_eq!( @@ -371,7 +363,10 @@ mod tests { #[test] fn mktime_rejects_date_only_format() { - assert_eq!(parse_mktime("2023-11-14", &Some("%Y-%m-%d".to_string())), None); + assert_eq!( + parse_mktime("2023-11-14", &Some("%Y-%m-%d".to_string())), + None + ); } #[test] @@ -400,11 +395,7 @@ mod tests { #[test] fn mktime_roundtrips_through_ctime() { - let rendered = format_ctime( - "1700000000", - &Some("%Y-%m-%d %H:%M:%S".to_string()), - ) - .unwrap(); + let rendered = format_ctime("1700000000", &Some("%Y-%m-%d %H:%M:%S".to_string())).unwrap(); let back = parse_mktime(&rendered, &Some("%Y-%m-%d %H:%M:%S".to_string())); assert_eq!(back, Some(1_700_000_000.0)); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tonumber.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tonumber.rs index 15dc22f885c96..90af83ad2d2c6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tonumber.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tonumber.rs @@ -147,9 +147,14 @@ impl ScalarUDFImpl for ToNumberUdf { }; let values: ValueSource = match (&values_arr_ref, value_col) { (Some(arr), _) => ValueSource::Array(StringArrayView::from_array(arr)?), - (None, ColumnarValue::Scalar( - ScalarValue::Utf8(opt) | ScalarValue::LargeUtf8(opt) | ScalarValue::Utf8View(opt), - )) => ValueSource::Scalar(opt.as_deref()), + ( + None, + ColumnarValue::Scalar( + ScalarValue::Utf8(opt) + | ScalarValue::LargeUtf8(opt) + | ScalarValue::Utf8View(opt), + ), + ) => ValueSource::Scalar(opt.as_deref()), (None, other) => { return exec_err!("tonumber: value expected Utf8, got {other:?}"); } @@ -157,7 +162,10 @@ impl ScalarUDFImpl for ToNumberUdf { let mut builder = Float64Builder::with_capacity(n); for i in 0..n { - match values.at(i).and_then(|s| i64::from_str_radix(s, radix).ok()) { + match values + .at(i) + .and_then(|s| i64::from_str_radix(s, radix).ok()) + { Some(v) => builder.append_value(v as f64), None => builder.append_null(), } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tostring.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tostring.rs index bfc15210c4a18..e55e8a71b0e6a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tostring.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/conversion/tostring.rs @@ -30,7 +30,8 @@ use datafusion::arrow::datatypes::{DataType, Float64Type, Int64Type}; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; pub fn register_all(ctx: &SessionContext) { @@ -148,7 +149,9 @@ impl ScalarUDFImpl for ToStringUdf { .collect(); Ok(ColumnarValue::Array(Arc::new(out) as ArrayRef)) } - other => exec_err!("tostring: expected Int64 or Float64 value array, got {other:?}"), + other => { + exec_err!("tostring: expected Int64 or Float64 value array, got {other:?}") + } }, } } @@ -189,8 +192,9 @@ fn format_at(format_col: &ColumnarValue, row: usize) -> Result> { exec_err!("tostring: format must be VARCHAR, got {other:?}") } ColumnarValue::Array(arr) => { - let view = crate::udf::json_common::StringArrayView::from_array(arr) - .map_err(|e| datafusion::common::DataFusionError::Execution(format!("tostring: {e}")))?; + let view = crate::udf::json_common::StringArrayView::from_array(arr).map_err(|e| { + datafusion::common::DataFusionError::Execution(format!("tostring: {e}")) + })?; Ok(view.cell(row).map(|s| s.to_string())) } } @@ -237,7 +241,9 @@ fn format_f64_as(value: f64, format: &str) -> String { // `BigDecimal.valueOf(42.0).toString() == "42.0"` → passed to `NumberFormat` with no // decimals would print `"42"`. let rendered = format!("{value}"); - rendered.strip_suffix(".0").map_or(rendered.clone(), |s| s.to_string()) + rendered + .strip_suffix(".0") + .map_or(rendered.clone(), |s| s.to_string()) } } } @@ -408,7 +414,8 @@ mod tests { #[test] fn binary_matches_biginteger_tostring_2() { - let out = invoke_scalar(ScalarValue::Int64(Some(39225)), DataType::Int64, "binary").unwrap(); + let out = + invoke_scalar(ScalarValue::Int64(Some(39225)), DataType::Int64, "binary").unwrap(); assert_eq!(utf8(out), "1001100100111001"); } @@ -420,7 +427,8 @@ mod tests { #[test] fn commas_integer_doc_example() { - let out = invoke_scalar(ScalarValue::Int64(Some(39225)), DataType::Int64, "commas").unwrap(); + let out = + invoke_scalar(ScalarValue::Int64(Some(39225)), DataType::Int64, "commas").unwrap(); assert_eq!(utf8(out), "39,225"); } @@ -448,13 +456,15 @@ mod tests { #[test] fn duration_seconds_doc_example() { - let out = invoke_scalar(ScalarValue::Int64(Some(6500)), DataType::Int64, "duration").unwrap(); + let out = + invoke_scalar(ScalarValue::Int64(Some(6500)), DataType::Int64, "duration").unwrap(); assert_eq!(utf8(out), "01:48:20"); } #[test] fn duration_bigdecimal_positive_example() { - let out = invoke_scalar(ScalarValue::Int64(Some(3661)), DataType::Int64, "duration").unwrap(); + let out = + invoke_scalar(ScalarValue::Int64(Some(3661)), DataType::Int64, "duration").unwrap(); assert_eq!(utf8(out), "01:01:01"); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/convert_tz.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/convert_tz.rs index 7e62d252c21b2..eb0856ba4f47d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/convert_tz.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/convert_tz.rs @@ -131,20 +131,26 @@ impl ScalarUDFImpl for ConvertTzUdf { // Only materialize column-valued tz operands; for scalars the parsed // TzSpec is already in hand. Keep the ArrayRef alive alongside the // view — StringArrayView borrows from the underlying buffer. - let from_arr_ref: Option = if from_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { - Some(args.args[1].clone().into_array(n)?) - } else { - None - }; - let to_arr_ref: Option = if to_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { - Some(args.args[2].clone().into_array(n)?) - } else { - None - }; - let from_array: Option> = - from_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; - let to_array: Option> = - to_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; + let from_arr_ref: Option = + if from_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { + Some(args.args[1].clone().into_array(n)?) + } else { + None + }; + let to_arr_ref: Option = + if to_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { + Some(args.args[2].clone().into_array(n)?) + } else { + None + }; + let from_array: Option> = from_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; + let to_array: Option> = to_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; let mut builder = TimestampMillisecondBuilder::with_capacity(n); for i in 0..n { @@ -195,7 +201,9 @@ impl ScalarUDFImpl for ConvertTzUdf { fn scalar_tz(cv: &ColumnarValue) -> Option { if let ColumnarValue::Scalar(sv) = cv { let s = match sv { - ScalarValue::Utf8(opt) | ScalarValue::LargeUtf8(opt) | ScalarValue::Utf8View(opt) => opt.as_deref(), + ScalarValue::Utf8(opt) | ScalarValue::LargeUtf8(opt) | ScalarValue::Utf8View(opt) => { + opt.as_deref() + } _ => None, }; return s.and_then(parse_tz); @@ -294,19 +302,18 @@ fn offset_seconds_at(tz: &TzSpec, naive: &NaiveDateTime) -> Option { /// the input. We reconstruct the instant from `ts_millis` + `from_offset` (since /// `ts_millis` is a wall clock in from_tz), then look up to_tz's offset at that /// instant — DST-correct even across transitions. -fn offset_seconds_at_instant( - tz: &TzSpec, - ts_millis: i64, - from_offset_seconds: i32, -) -> Option { +fn offset_seconds_at_instant(tz: &TzSpec, ts_millis: i64, from_offset_seconds: i32) -> Option { match tz { TzSpec::Offset(o) => Some(*o), TzSpec::Iana(z) => { // instant_utc_millis = wall_millis - from_offset_millis - let instant_millis = - ts_millis.checked_sub((from_offset_seconds as i64) * 1_000)?; + let instant_millis = ts_millis.checked_sub((from_offset_seconds as i64) * 1_000)?; let instant = DateTime::::from_timestamp_millis(instant_millis)?; - Some(z.offset_from_utc_datetime(&instant.naive_utc()).fix().local_minus_utc()) + Some( + z.offset_from_utc_datetime(&instant.naive_utc()) + .fix() + .local_minus_utc(), + ) } } } @@ -478,7 +485,12 @@ mod tests { let udf = ConvertTzUdf::new(); assert!(udf.coerce_types(&[DataType::Utf8]).is_err()); assert!(udf - .coerce_types(&[DataType::Utf8, DataType::Utf8, DataType::Utf8, DataType::Utf8]) + .coerce_types(&[ + DataType::Utf8, + DataType::Utf8, + DataType::Utf8, + DataType::Utf8 + ]) .is_err()); } @@ -486,11 +498,7 @@ mod tests { #[test] fn invoke_nulls_and_bad_tz_propagate() { let udf = ConvertTzUdf::new(); - let ts = TimestampMillisecondArray::from(vec![ - Some(1_704_456_000_000), - None, - Some(0), - ]); + let ts = TimestampMillisecondArray::from(vec![Some(1_704_456_000_000), None, Some(0)]); let from = StringArray::from(vec![ Some("+00:00"), Some("UTC"), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/crc32.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/crc32.rs index b8875f12d123d..1066979e1f0d8 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/crc32.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/crc32.rs @@ -16,7 +16,8 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; pub fn register_all(ctx: &SessionContext) { @@ -178,11 +179,7 @@ mod tests { fn array_input_preserves_null_mask() { let u = udf(); let return_field = Arc::new(Field::new(u.name(), DataType::Int64, true)); - let values: ArrayRef = Arc::new(StringArray::from(vec![ - Some("a"), - None, - Some(""), - ])); + let values: ArrayRef = Arc::new(StringArray::from(vec![Some("a"), None, Some("")])); let args = ScalarFunctionArgs { args: vec![ColumnarValue::Array(values)], arg_fields: vec![Arc::new(Field::new("v", DataType::Utf8, true))], diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/date_format.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/date_format.rs index 014fbf1d661da..712ad921d9025 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/date_format.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/date_format.rs @@ -14,7 +14,9 @@ use std::sync::Arc; use super::udf_identity; use chrono::{TimeZone, Utc}; -use datafusion::arrow::array::{Array, ArrayRef, AsArray, StringBuilder, TimestampMicrosecondArray}; +use datafusion::arrow::array::{ + Array, ArrayRef, AsArray, StringBuilder, TimestampMicrosecondArray, +}; use datafusion::arrow::datatypes::{DataType, TimeUnit}; use datafusion::common::{exec_err, plan_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; @@ -67,7 +69,11 @@ impl ScalarUDFImpl for DateFormatUdf { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => { DataType::Timestamp(TimeUnit::Microsecond, None) } - other => return plan_err!("date_format: arg 0 expected timestamp/date/string, got {other:?}"), + other => { + return plan_err!( + "date_format: arg 0 expected timestamp/date/string, got {other:?}" + ) + } }; let fmt = match &arg_types[1] { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => DataType::Utf8, @@ -127,11 +133,19 @@ pub(crate) fn format_dispatch( let fmt_opt = match f_arr.data_type() { DataType::Utf8 => { let a = f_arr.as_string::(); - if a.is_null(i) { None } else { Some(a.value(i).to_string()) } + if a.is_null(i) { + None + } else { + Some(a.value(i).to_string()) + } } DataType::LargeUtf8 => { let a = f_arr.as_string::(); - if a.is_null(i) { None } else { Some(a.value(i).to_string()) } + if a.is_null(i) { + None + } else { + Some(a.value(i).to_string()) + } } other => return exec_err!("{udf}: format array has unexpected type {other:?}"), }; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/extract.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/extract.rs index 6e15ebeeae604..5b69d624e3144 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/extract.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/extract.rs @@ -78,7 +78,11 @@ impl ScalarUDFImpl for ExtractUdf { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => DataType::Utf8, // Time32/Time64: handle directly to avoid a Time→Timestamp cast kernel. DataType::Time32(_) | DataType::Time64(_) => arg_types[1].clone(), - other => return plan_err!("extract: arg 1 expected timestamp/date/time/string, got {other:?}"), + other => { + return plan_err!( + "extract: arg 1 expected timestamp/date/time/string, got {other:?}" + ) + } }; Ok(vec![unit, ts]) } @@ -100,7 +104,9 @@ impl ScalarUDFImpl for ExtractUdf { ScalarValue::Time32Millisecond(v) => v.map(|ms| (ms as i64) * 1_000), ScalarValue::Time64Microsecond(v) => *v, ScalarValue::Time64Nanosecond(v) => v.map(|ns| ns / 1_000), - ScalarValue::Utf8(v) | ScalarValue::LargeUtf8(v) => v.as_deref().and_then(parse_string_to_micros), + ScalarValue::Utf8(v) | ScalarValue::LargeUtf8(v) => { + v.as_deref().and_then(parse_string_to_micros) + } other => return exec_err!("extract: unsupported ts scalar: {other:?}"), }; let out = match (unit_str, micros) { @@ -257,7 +263,9 @@ fn unit_at(array: &ArrayRef, row: usize) -> Result> { fn compute(unit: &str, micros: i64) -> Option { let seconds = micros.div_euclid(1_000_000); let micro_fraction = micros.rem_euclid(1_000_000) as u32; - let dt = Utc.timestamp_opt(seconds, micro_fraction * 1_000).single()?; + let dt = Utc + .timestamp_opt(seconds, micro_fraction * 1_000) + .single()?; extract_for_unit(&unit.to_ascii_uppercase(), dt) } @@ -320,22 +328,38 @@ mod tests { } fn us(y: i32, mo: u32, d: u32, h: u32, mi: u32, s: u32) -> i64 { - Utc.with_ymd_and_hms(y, mo, d, h, mi, s).unwrap().timestamp() * 1_000_000 + Utc.with_ymd_and_hms(y, mo, d, h, mi, s) + .unwrap() + .timestamp() + * 1_000_000 } #[test] fn simple_and_composite_units_on_reference_sample() { // Reference sample (Sunday, 2020 leap year, ISO week 11): for (unit, want) in [ - ("MICROSECOND", 123_456_i64), ("SECOND", 45), ("MINUTE", 30), ("HOUR", 10), - ("DAY", 15), ("MONTH", 3), ("QUARTER", 1), ("YEAR", 2020), - ("DOY", 75), ("WEEK", 11), ("DOW", 7), // 2020-03-15 is a Sunday (ISO DOW=7) - ("DAY_MICROSECOND", 15_103_045_123_456), ("DAY_SECOND", 15_103_045), - ("DAY_MINUTE", 151_030), ("DAY_HOUR", 1510), - ("HOUR_MICROSECOND", 103_045_123_456), ("HOUR_SECOND", 103_045), + ("MICROSECOND", 123_456_i64), + ("SECOND", 45), + ("MINUTE", 30), + ("HOUR", 10), + ("DAY", 15), + ("MONTH", 3), + ("QUARTER", 1), + ("YEAR", 2020), + ("DOY", 75), + ("WEEK", 11), + ("DOW", 7), // 2020-03-15 is a Sunday (ISO DOW=7) + ("DAY_MICROSECOND", 15_103_045_123_456), + ("DAY_SECOND", 15_103_045), + ("DAY_MINUTE", 151_030), + ("DAY_HOUR", 1510), + ("HOUR_MICROSECOND", 103_045_123_456), + ("HOUR_SECOND", 103_045), ("HOUR_MINUTE", 1030), - ("MINUTE_MICROSECOND", 3_045_123_456), ("MINUTE_SECOND", 3045), - ("SECOND_MICROSECOND", 45_123_456), ("YEAR_MONTH", 202_003), + ("MINUTE_MICROSECOND", 3_045_123_456), + ("MINUTE_SECOND", 3045), + ("SECOND_MICROSECOND", 45_123_456), + ("YEAR_MONTH", 202_003), ] { assert_eq!(eval(unit), Some(want), "unit={unit}"); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/from_unixtime.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/from_unixtime.rs index ebee8e3f95ec1..8510a42380b7e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/from_unixtime.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/from_unixtime.rs @@ -67,10 +67,7 @@ impl ScalarUDFImpl for FromUnixtimeUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { if args.args.len() != 1 { - return exec_err!( - "from_unixtime expects 1 argument, got {}", - args.args.len() - ); + return exec_err!("from_unixtime expects 1 argument, got {}", args.args.len()); } let n = args.number_rows; @@ -112,7 +109,13 @@ mod tests { #[test] fn rejects_out_of_range_and_non_finite() { - for v in [-0.1, MAX_UNIX_SECONDS_EXCLUSIVE, MAX_UNIX_SECONDS_EXCLUSIVE + 1.0, f64::NAN, f64::INFINITY] { + for v in [ + -0.1, + MAX_UNIX_SECONDS_EXCLUSIVE, + MAX_UNIX_SECONDS_EXCLUSIVE + 1.0, + f64::NAN, + f64::INFINITY, + ] { assert_eq!(to_micros(v), None, "v={v}"); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/grok.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/grok.rs index 9cd58ad1026e9..b85b127d0f058 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/grok.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/grok.rs @@ -51,7 +51,9 @@ use std::collections::HashMap; use std::sync::Arc; use std::sync::LazyLock; -use datafusion::arrow::array::{Array, ArrayRef, MapBuilder, MapFieldNames, StringArray, StringBuilder}; +use datafusion::arrow::array::{ + Array, ArrayRef, MapBuilder, MapFieldNames, StringArray, StringBuilder, +}; use datafusion::arrow::datatypes::{DataType, Field}; use datafusion::common::{plan_err, ScalarValue}; use datafusion::error::{DataFusionError, Result}; @@ -87,8 +89,9 @@ static GROK_REFERENCE: LazyLock = LazyLock::new(|| { /// Matches the synthetic `(?` capture-group openers in a resolved grok /// regex — ported from `GrokUtils.NAMED_REGEX`. Used to recover the group order /// for output, mirroring `GrokUtils.getNameGroups`. -static NAMED_GROUP: LazyLock = - LazyLock::new(|| Regex::new(r"\(\?<([a-zA-Z][a-zA-Z0-9]*)>").expect("NAMED_GROUP is a valid regex")); +static NAMED_GROUP: LazyLock = LazyLock::new(|| { + Regex::new(r"\(\?<([a-zA-Z][a-zA-Z0-9]*)>").expect("NAMED_GROUP is a valid regex") +}); /// Parsed dictionary: pattern name → definition. Built once. static DICTIONARY: LazyLock> = LazyLock::new(|| { @@ -375,9 +378,10 @@ impl ScalarUDFImpl for GrokUdf { // fancy-regex returns Result>; a runtime regex // error (e.g. backtrack-limit) surfaces as a DataFusion error // rather than a silent miss. - resolved.regex.captures(input.value(i)).map_err(|e| { - DataFusionError::Execution(format!("grok: match failed: {e}")) - })? + resolved + .regex + .captures(input.value(i)) + .map_err(|e| DataFusionError::Execution(format!("grok: match failed: {e}")))? }; for (field, group) in &fields { builder.keys().append_value(field); @@ -475,8 +479,15 @@ mod tests { fn number_greedydata_with_lookbehind_and_atomic_group() { // testGrokAddressOverriding: "%{NUMBER} %{GREEDYDATA:address}" — NUMBER → // BASE10NUM uses lookbehind + atomic group (regex crate would reject). - let map = run_grok(vec![Some("880 Holmes Lane")], "%{NUMBER} %{GREEDYDATA:address}").unwrap(); - assert_eq!(value_for(&map, 0, "address").as_deref(), Some("Holmes Lane")); + let map = run_grok( + vec![Some("880 Holmes Lane")], + "%{NUMBER} %{GREEDYDATA:address}", + ) + .unwrap(); + assert_eq!( + value_for(&map, 0, "address").as_deref(), + Some("Holmes Lane") + ); } #[test] @@ -501,7 +512,11 @@ mod tests { #[test] fn unwanted_groups_are_dropped() { // NUMBER has no subname → UNWANTED → must not appear as an output key. - let map = run_grok(vec![Some("880 Holmes Lane")], "%{NUMBER} %{GREEDYDATA:address}").unwrap(); + let map = run_grok( + vec![Some("880 Holmes Lane")], + "%{NUMBER} %{GREEDYDATA:address}", + ) + .unwrap(); let keys: Vec = row_entries(&map, 0).into_iter().map(|(k, _)| k).collect(); assert!(keys.contains(&"address".to_string())); assert!(!keys.contains(&"UNWANTED".to_string())); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/ip_to_string.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/ip_to_string.rs index 672a47558b53a..d06a6d0ab781f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/ip_to_string.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/ip_to_string.rs @@ -32,7 +32,8 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; pub fn register_all(ctx: &SessionContext) { @@ -90,25 +91,33 @@ impl ScalarUDFImpl for IpToStringUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { if args.args.len() != 1 { - return exec_err!("ip_to_string expects exactly 1 argument, got {}", args.args.len()); + return exec_err!( + "ip_to_string expects exactly 1 argument, got {}", + args.args.len() + ); } match &args.args[0] { ColumnarValue::Scalar(ScalarValue::Binary(opt)) => Ok(ColumnarValue::Scalar( ScalarValue::Utf8(opt.as_ref().and_then(|b| format_ip_bytes(b))), )), - ColumnarValue::Scalar(other) => exec_err!("ip_to_string: expected Binary input, got {other:?}"), + ColumnarValue::Scalar(other) => { + exec_err!("ip_to_string: expected Binary input, got {other:?}") + } ColumnarValue::Array(arr) => { - let bin = arr - .as_any() - .downcast_ref::() - .ok_or_else(|| { - datafusion::common::DataFusionError::Execution(format!( - "ip_to_string: expected BinaryArray, got {:?}", - arr.data_type() - )) - })?; + let bin = arr.as_any().downcast_ref::().ok_or_else(|| { + datafusion::common::DataFusionError::Execution(format!( + "ip_to_string: expected BinaryArray, got {:?}", + arr.data_type() + )) + })?; let out: StringArray = (0..bin.len()) - .map(|i| if bin.is_null(i) { None } else { format_ip_bytes(bin.value(i)) }) + .map(|i| { + if bin.is_null(i) { + None + } else { + format_ip_bytes(bin.value(i)) + } + }) .collect(); Ok(ColumnarValue::Array(Arc::new(out) as ArrayRef)) } @@ -125,7 +134,10 @@ fn format_ip_bytes(bytes: &[u8]) -> Option { } // IPv4-mapped IPv6: 80 bits of zero, then 0xffff, then 4 bytes of IPv4. if bytes[..10].iter().all(|&b| b == 0) && bytes[10] == 0xff && bytes[11] == 0xff { - return Some(format!("{}.{}.{}.{}", bytes[12], bytes[13], bytes[14], bytes[15])); + return Some(format!( + "{}.{}.{}.{}", + bytes[12], bytes[13], bytes[14], bytes[15] + )); } let arr: [u8; 16] = bytes.try_into().expect("checked length above"); Some(Ipv6Addr::from(arr).to_string()) diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/item.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/item.rs index 6308dcbe6dc30..a40e9374d831d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/item.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/item.rs @@ -29,9 +29,7 @@ use std::sync::Arc; -use datafusion::arrow::array::{ - Array, ArrayRef, MapArray, StringArray, StringBuilder, -}; +use datafusion::arrow::array::{Array, ArrayRef, MapArray, StringArray, StringBuilder}; use datafusion::arrow::datatypes::DataType; use datafusion::common::{plan_err, ScalarValue}; use datafusion::error::{DataFusionError, Result}; @@ -92,16 +90,11 @@ impl ScalarUDFImpl for ItemUdf { // canonicalises to Utf8 so column-valued keys (string view, large // string) work uniformly. if !matches!(arg_types[0], DataType::Map(_, _)) { - return plan_err!( - "item: arg 0 must be a Map type, got {:?}", - arg_types[0] - ); + return plan_err!("item: arg 0 must be a Map type, got {:?}", arg_types[0]); } let key_target = match arg_types[1] { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => DataType::Utf8, - ref other => return plan_err!( - "item: arg 1 must be a string key, got {other:?}" - ), + ref other => return plan_err!("item: arg 1 must be a string key, got {other:?}"), }; Ok(vec![arg_types[0].clone(), key_target]) } @@ -113,13 +106,12 @@ impl ScalarUDFImpl for ItemUdf { let n = args.number_rows; let map_arr = args.args[0].clone().into_array(n)?; - let map = map_arr - .as_any() - .downcast_ref::() - .ok_or_else(|| DataFusionError::Internal(format!( + let map = map_arr.as_any().downcast_ref::().ok_or_else(|| { + DataFusionError::Internal(format!( "item: arg 0 expected MapArray, got {:?}", map_arr.data_type(), - )))?; + )) + })?; // Fast-path the common case: literal key (every PPL parse → ITEM call // hits this, since the named-group identifier is a string literal). @@ -160,16 +152,12 @@ impl ScalarUDFImpl for ItemUdf { .column(0) .as_any() .downcast_ref::() - .ok_or_else(|| DataFusionError::Internal( - "item: map keys are not Utf8".into(), - ))?; + .ok_or_else(|| DataFusionError::Internal("item: map keys are not Utf8".into()))?; let values = entries .column(1) .as_any() .downcast_ref::() - .ok_or_else(|| DataFusionError::Internal( - "item: map values are not Utf8".into(), - ))?; + .ok_or_else(|| DataFusionError::Internal("item: map values are not Utf8".into()))?; let mut found = false; for j in 0..entries.len() { @@ -261,21 +249,30 @@ mod tests { #[test] fn returns_value_for_present_key() { let map = build_map(vec![Some(vec![("a", "1"), ("b", "2")])]); - let out = run(map, ColumnarValue::Scalar(ScalarValue::Utf8(Some("a".into())))); + let out = run( + map, + ColumnarValue::Scalar(ScalarValue::Utf8(Some("a".into()))), + ); assert_eq!(out.value(0), "1"); } #[test] fn returns_null_for_absent_key() { let map = build_map(vec![Some(vec![("a", "1")])]); - let out = run(map, ColumnarValue::Scalar(ScalarValue::Utf8(Some("missing".into())))); + let out = run( + map, + ColumnarValue::Scalar(ScalarValue::Utf8(Some("missing".into()))), + ); assert!(out.is_null(0)); } #[test] fn returns_null_for_null_map_cell() { let map = build_map(vec![None]); - let out = run(map, ColumnarValue::Scalar(ScalarValue::Utf8(Some("a".into())))); + let out = run( + map, + ColumnarValue::Scalar(ScalarValue::Utf8(Some("a".into()))), + ); assert!(out.is_null(0)); } @@ -335,9 +332,7 @@ mod tests { false, )); let map_dt = DataType::Map(entries, false); - let err = udf - .coerce_types(&[map_dt, DataType::Int32]) - .unwrap_err(); + let err = udf.coerce_types(&[map_dt, DataType::Int32]).unwrap_err(); assert!(err.to_string().contains("must be a string key")); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json.rs index bac65fb0cf98c..89bd828a19342 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json.rs @@ -37,7 +37,9 @@ pub struct JsonUdf { impl JsonUdf { pub fn new() -> Self { - Self { signature: Signature::user_defined(Volatility::Immutable) } + Self { + signature: Signature::user_defined(Volatility::Immutable), + } } } @@ -117,7 +119,10 @@ mod tests { #[test] fn return_type_is_utf8() { - assert_eq!(JsonUdf::new().return_type(&[DataType::Utf8]).unwrap(), DataType::Utf8); + assert_eq!( + JsonUdf::new().return_type(&[DataType::Utf8]).unwrap(), + DataType::Utf8 + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_append.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_append.rs index 7069f1cebf5cd..54f67c2f7dd09 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_append.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_append.rs @@ -26,7 +26,9 @@ use datafusion::logical_expr::{ }; use serde_json::Value; -use super::json_common::{parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView}; +use super::json_common::{ + parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView, +}; use super::{coerce_slot, CoerceMode}; const NAME: &str = "json_append"; @@ -97,8 +99,10 @@ impl ScalarUDFImpl for JsonAppendUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 16); let mut rest: Vec> = Vec::with_capacity(columns.len() - 1); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array.rs index 92f61feb40e54..4a0aa3ebf44c9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array.rs @@ -40,7 +40,9 @@ pub struct JsonArrayUdf { impl JsonArrayUdf { pub fn new() -> Self { - Self { signature: Signature::user_defined(Volatility::Immutable) } + Self { + signature: Signature::user_defined(Volatility::Immutable), + } } } @@ -70,7 +72,11 @@ impl ScalarUDFImpl for JsonArrayUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { let n = args.number_rows; - if args.args.iter().all(|v| matches!(v, ColumnarValue::Scalar(_))) { + if args + .args + .iter() + .all(|v| matches!(v, ColumnarValue::Scalar(_))) + { let cells: Vec> = args.args.iter().map(scalar_utf8).collect(); let out = build_array(&cells); return Ok(ColumnarValue::Scalar(ScalarValue::Utf8(out))); @@ -81,8 +87,10 @@ impl ScalarUDFImpl for JsonArrayUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 32); let mut row_cells: Vec> = Vec::with_capacity(columns.len()); @@ -126,12 +134,18 @@ mod tests { fn numeric_values_emit_unquoted() { // testJsonArray — six numerics in source order. let cells = [ - Some("n"), Some("1"), - Some("n"), Some("2"), - Some("n"), Some("0"), - Some("n"), Some("-1"), - Some("n"), Some("1.1"), - Some("n"), Some("-0.11"), + Some("n"), + Some("1"), + Some("n"), + Some("2"), + Some("n"), + Some("0"), + Some("n"), + Some("-1"), + Some("n"), + Some("1.1"), + Some("n"), + Some("-0.11"), ]; assert_eq!(build_array(&cells).as_deref(), Some("[1,2,0,-1,1.1,-0.11]")); } @@ -140,9 +154,12 @@ mod tests { fn mixed_types_round_trip_per_tag() { // testJsonArrayWithDifferentType — int + string + nested-json. let cells = [ - Some("n"), Some("1"), - Some("s"), Some("123"), - Some("j"), Some(r#"{"name":3}"#), + Some("n"), + Some("1"), + Some("s"), + Some("123"), + Some("j"), + Some(r#"{"name":3}"#), ]; assert_eq!( build_array(&cells).as_deref(), @@ -169,6 +186,9 @@ mod tests { #[test] fn return_type_is_utf8() { - assert_eq!(JsonArrayUdf::new().return_type(&[DataType::Utf8]).unwrap(), DataType::Utf8); + assert_eq!( + JsonArrayUdf::new().return_type(&[DataType::Utf8]).unwrap(), + DataType::Utf8 + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array_length.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array_length.rs index 7b713ff5f3d85..97dfd56810761 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array_length.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_array_length.rs @@ -87,9 +87,9 @@ impl ScalarUDFImpl for JsonArrayLengthUdf { // Scalar fast-path: parse once, broadcast as scalar output. if let ColumnarValue::Scalar(sv) = &args.args[0] { let len = match sv { - ScalarValue::Utf8(opt) | ScalarValue::LargeUtf8(opt) | ScalarValue::Utf8View(opt) => { - opt.as_deref().and_then(json_array_len) - } + ScalarValue::Utf8(opt) + | ScalarValue::LargeUtf8(opt) + | ScalarValue::Utf8View(opt) => opt.as_deref().and_then(json_array_len), _ => None, }; return Ok(ColumnarValue::Scalar(ScalarValue::Int32(len))); @@ -199,7 +199,9 @@ mod tests { fn invoke_scalar_input_produces_scalar_output() { let udf = JsonArrayLengthUdf::new(); let args = ScalarFunctionArgs { - args: vec![ColumnarValue::Scalar(ScalarValue::Utf8(Some("[1,2,3,4]".into())))], + args: vec![ColumnarValue::Scalar(ScalarValue::Utf8(Some( + "[1,2,3,4]".into(), + )))], number_rows: 1, arg_fields: vec![], return_field: Arc::new(Field::new("out", DataType::Int32, true)), diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_common.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_common.rs index c5ed75afa5c07..dc875f532bd77 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_common.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_common.rs @@ -170,7 +170,9 @@ where /// Standard arity guard. pub(crate) fn check_arity(udf: &str, observed: usize, expected: usize) -> Result<()> { (observed == expected).then_some(()).ok_or_else(|| { - DataFusionError::Plan(format!("{udf} expects {expected} arguments, got {observed}")) + DataFusionError::Plan(format!( + "{udf} expects {expected} arguments, got {observed}" + )) }) } @@ -187,13 +189,19 @@ impl<'a> StringArrayView<'a> { pub(crate) fn from_array(arr: &'a ArrayRef) -> Result { match arr.data_type() { DataType::Utf8 => Ok(Self::Utf8( - arr.as_any().downcast_ref::().expect("Utf8 downcast"), + arr.as_any() + .downcast_ref::() + .expect("Utf8 downcast"), )), DataType::LargeUtf8 => Ok(Self::LargeUtf8( - arr.as_any().downcast_ref::().expect("LargeUtf8 downcast"), + arr.as_any() + .downcast_ref::() + .expect("LargeUtf8 downcast"), )), DataType::Utf8View => Ok(Self::Utf8View( - arr.as_any().downcast_ref::().expect("Utf8View downcast"), + arr.as_any() + .downcast_ref::() + .expect("Utf8View downcast"), )), other => Err(DataFusionError::Internal(format!( "expected string array (Utf8/LargeUtf8/Utf8View), got {other:?}" @@ -241,7 +249,10 @@ mod tests { ] { assert_eq!(convert_ppl_path(input).unwrap(), want, "input={input}"); } - assert!(convert_ppl_path("a{0").unwrap_err().to_string().contains("Unmatched")); + assert!(convert_ppl_path("a{0") + .unwrap_err() + .to_string() + .contains("Unmatched")); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_delete.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_delete.rs index 60a9cff3a3373..5c8a5acdfa74b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_delete.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_delete.rs @@ -25,7 +25,9 @@ use datafusion::logical_expr::{ }; use serde_json::Value; -use super::json_common::{parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView}; +use super::json_common::{ + parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView, +}; use super::{coerce_slot, CoerceMode}; const NAME: &str = "json_delete"; @@ -95,8 +97,10 @@ impl ScalarUDFImpl for JsonDeleteUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 16); let mut path_buf: Vec> = Vec::with_capacity(columns.len() - 1); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extend.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extend.rs index 227da0d00f2ec..d9e60e0bcf190 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extend.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extend.rs @@ -30,7 +30,9 @@ use datafusion::logical_expr::{ }; use serde_json::Value; -use super::json_common::{parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView}; +use super::json_common::{ + parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView, +}; use super::{coerce_slot, CoerceMode}; const NAME: &str = "json_extend"; @@ -97,8 +99,10 @@ impl ScalarUDFImpl for JsonExtendUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 16); let mut rest: Vec> = Vec::with_capacity(columns.len() - 1); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract.rs index 724debd5d20ab..4639d78599c5b 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract.rs @@ -99,8 +99,10 @@ impl ScalarUDFImpl for JsonExtractUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 16); let mut path_buf: Vec> = Vec::with_capacity(columns.len() - 1); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract_all.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract_all.rs index 2a987138c4ea0..fb61014a5c38d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract_all.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_extract_all.rs @@ -498,7 +498,9 @@ mod tests { #[test] fn return_type_is_map_utf8_utf8() { - let dt = JsonExtractAllUdf::new().return_type(&[DataType::Utf8]).unwrap(); + let dt = JsonExtractAllUdf::new() + .return_type(&[DataType::Utf8]) + .unwrap(); match dt { DataType::Map(field, sorted) => { assert!(!sorted); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_keys.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_keys.rs index 740697f369871..e83ddbb68adce 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_keys.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_keys.rs @@ -38,7 +38,9 @@ pub struct JsonKeysUdf { impl JsonKeysUdf { pub fn new() -> Self { - Self { signature: Signature::user_defined(Volatility::Immutable) } + Self { + signature: Signature::user_defined(Volatility::Immutable), + } } } @@ -68,9 +70,9 @@ impl ScalarUDFImpl for JsonKeysUdf { if let ColumnarValue::Scalar(sv) = &args.args[0] { let keys = match sv { - ScalarValue::Utf8(Some(s)) | ScalarValue::LargeUtf8(Some(s)) | ScalarValue::Utf8View(Some(s)) => { - json_keys(s) - } + ScalarValue::Utf8(Some(s)) + | ScalarValue::LargeUtf8(Some(s)) + | ScalarValue::Utf8View(Some(s)) => json_keys(s), _ => None, }; return Ok(ColumnarValue::Scalar(ScalarValue::Utf8(keys))); @@ -134,7 +136,10 @@ mod tests { #[test] fn return_type_is_utf8() { - assert_eq!(JsonKeysUdf::new().return_type(&[DataType::Utf8]).unwrap(), DataType::Utf8); + assert_eq!( + JsonKeysUdf::new().return_type(&[DataType::Utf8]).unwrap(), + DataType::Utf8 + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_object.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_object.rs index ec234e75a03a4..e6fe69ef08953 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_object.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_object.rs @@ -51,7 +51,9 @@ pub struct JsonObjectUdf { impl JsonObjectUdf { pub fn new() -> Self { - Self { signature: Signature::user_defined(Volatility::Immutable) } + Self { + signature: Signature::user_defined(Volatility::Immutable), + } } } @@ -81,7 +83,11 @@ impl ScalarUDFImpl for JsonObjectUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { let n = args.number_rows; - if args.args.iter().all(|v| matches!(v, ColumnarValue::Scalar(_))) { + if args + .args + .iter() + .all(|v| matches!(v, ColumnarValue::Scalar(_))) + { let cells: Vec> = args.args.iter().map(scalar_utf8).collect(); let out = build_object(&cells); return Ok(ColumnarValue::Scalar(ScalarValue::Utf8(out))); @@ -92,8 +98,10 @@ impl ScalarUDFImpl for JsonObjectUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 32); let mut row_cells: Vec> = Vec::with_capacity(columns.len()); @@ -193,6 +201,9 @@ mod tests { #[test] fn return_type_is_utf8() { - assert_eq!(JsonObjectUdf::new().return_type(&[DataType::Utf8]).unwrap(), DataType::Utf8); + assert_eq!( + JsonObjectUdf::new().return_type(&[DataType::Utf8]).unwrap(), + DataType::Utf8 + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_set.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_set.rs index 162f475455f8c..e236179cd0449 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_set.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_set.rs @@ -25,7 +25,9 @@ use datafusion::logical_expr::{ }; use serde_json::Value; -use super::json_common::{parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView}; +use super::json_common::{ + parse, parse_ppl_segments, scalar_utf8, walk_mut, Segment, StringArrayView, +}; use super::{coerce_slot, CoerceMode}; const NAME: &str = "json_set"; @@ -96,8 +98,10 @@ impl ScalarUDFImpl for JsonSetUdf { .iter() .map(|v| v.clone().into_array(n)) .collect::>()?; - let columns: Vec> = - arrays.iter().map(StringArrayView::from_array).collect::>()?; + let columns: Vec> = arrays + .iter() + .map(StringArrayView::from_array) + .collect::>()?; let mut b = StringBuilder::with_capacity(n, n * 16); let mut rest: Vec> = Vec::with_capacity(columns.len() - 1); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_valid.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_valid.rs index 713645fffcd8f..5fc2a7f862bd0 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_valid.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/json_valid.rs @@ -229,7 +229,10 @@ mod tests { let arr = arr.as_any().downcast_ref::().unwrap(); assert!(!arr.is_null(1), "NULL input must produce FALSE, not NULL"); assert!(arr.value(0)); - assert!(!arr.value(1), "NULL input → FALSE (legacy JsonUtils.isValidJson)"); + assert!( + !arr.value(1), + "NULL input → FALSE (legacy JsonUtils.isValidJson)" + ); assert!(!arr.value(2)); assert!(arr.value(3)); // Empty string is VALID per the legacy Jackson contract (see empty_and_whitespace_are_valid). diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/makedate.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/makedate.rs index fcfc1f6b0b69a..34cbf2428b5f7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/makedate.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/makedate.rs @@ -136,13 +136,17 @@ mod tests { // (year, doy) → (y, m, d) expected. for (y, doy, ey, em, ed) in [ (2024.0, 1.0, 2024, 1, 1), - (2024.0, 60.0, 2024, 2, 29), // 2024 leap; doy 60 = Feb 29 + (2024.0, 60.0, 2024, 2, 29), // 2024 leap; doy 60 = Feb 29 (2024.0, 366.0, 2024, 12, 31), - (0.0, 1.0, 2000, 1, 1), // year 0 remaps to 2000 - (2023.0, 366.0, 2024, 1, 1), // non-leap overflow cascades - (2024.4, 60.6, 2024, 3, 1), // fractional operands round: 2024, 61 + (0.0, 1.0, 2000, 1, 1), // year 0 remaps to 2000 + (2023.0, 366.0, 2024, 1, 1), // non-leap overflow cascades + (2024.4, 60.6, 2024, 3, 1), // fractional operands round: 2024, 61 ] { - assert_eq!(days_since_epoch(y, doy), Some(days(ey, em, ed)), "y={y} doy={doy}"); + assert_eq!( + days_since_epoch(y, doy), + Some(days(ey, em, ed)), + "y={y} doy={doy}" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/maketime.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/maketime.rs index e31e1617f109e..2e4ef1820875f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/maketime.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/maketime.rs @@ -68,7 +68,11 @@ impl ScalarUDFImpl for MaketimeUdf { coerce_args( "maketime", arg_types, - &[CoerceMode::Float64, CoerceMode::Float64, CoerceMode::Float64], + &[ + CoerceMode::Float64, + CoerceMode::Float64, + CoerceMode::Float64, + ], ) } @@ -90,9 +94,7 @@ impl ScalarUDFImpl for MaketimeUdf { (Some(h), Some(m), Some(s)) => micros_of_day(*h, *m, *s).map(|us| us * 1_000), _ => None, }; - return Ok(ColumnarValue::Scalar(ScalarValue::Time64Nanosecond( - nanos, - ))); + return Ok(ColumnarValue::Scalar(ScalarValue::Time64Nanosecond(nanos))); } let h = args.args[0].clone().into_array(n)?; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/minspan_bucket.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/minspan_bucket.rs index 773e53f31c82e..7e51b5d4b2ba5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/minspan_bucket.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/minspan_bucket.rs @@ -35,9 +35,7 @@ use std::sync::Arc; -use datafusion::arrow::array::{ - Array, ArrayRef, Float64Array, StringBuilder, -}; +use datafusion::arrow::array::{Array, ArrayRef, Float64Array, StringBuilder}; use datafusion::arrow::datatypes::DataType; use datafusion::common::plan_err; use datafusion::error::{DataFusionError, Result}; @@ -84,7 +82,10 @@ impl ScalarUDFImpl for MinspanBucketUdf { } fn return_type(&self, arg_types: &[DataType]) -> Result { if arg_types.len() != 4 { - return plan_err!("minspan_bucket expects 4 arguments, got {}", arg_types.len()); + return plan_err!( + "minspan_bucket expects 4 arguments, got {}", + arg_types.len() + ); } Ok(DataType::Utf8) } @@ -102,7 +103,10 @@ impl ScalarUDFImpl for MinspanBucketUdf { } fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { if args.args.len() != 4 { - return plan_err!("minspan_bucket expects 4 arguments, got {}", args.args.len()); + return plan_err!( + "minspan_bucket expects 4 arguments, got {}", + args.args.len() + ); } let n = args.number_rows; let value = args.args[0].clone().into_array(n)?; @@ -121,8 +125,12 @@ impl ScalarUDFImpl for MinspanBucketUdf { builder.append_null(); continue; } - match calculate(value.value(i), min_span.value(i), range.value(i), max_value.value(i)) - { + match calculate( + value.value(i), + min_span.value(i), + range.value(i), + max_value.value(i), + ) { Some(s) => builder.append_value(&s), None => builder.append_null(), } @@ -159,7 +167,11 @@ fn calculate(value: f64, min_span: f64, range: f64, _max_value: f64) -> Option= minSpan`, i.e. data's natural order- // of-magnitude width is already at least minSpan, so use it; otherwise // use minspan_width so every bin is at least minSpan wide. - let width = if default_width >= min_span { default_width } else { minspan_width }; + let width = if default_width >= min_span { + default_width + } else { + minspan_width + }; if !width.is_finite() || width <= 0.0 { return None; } @@ -233,10 +245,7 @@ mod tests { // range=1.0 → defaultWidth=10^floor(0)=10^0=1 // 1 >= 0.05 → width=1 (integer) // value=0.7 → binStart=0, binEnd=1 → "0-1" - assert_eq!( - calculate(0.7, 0.05, 1.0, 1.0), - Some("0-1".to_string()) - ); + assert_eq!(calculate(0.7, 0.05, 1.0, 1.0), Some("0-1".to_string())); } // ── `defaultWidth < minSpan` branch (user floor wins) ────────────────── @@ -247,10 +256,7 @@ mod tests { // range=5 → defaultWidth=10^0=1 // 1 >= 3 false → width=10 // value=15 → binStart=10, binEnd=20 → "10-20" - assert_eq!( - calculate(15.0, 3.0, 5.0, 5.0), - Some("10-20".to_string()) - ); + assert_eq!(calculate(15.0, 3.0, 5.0, 5.0), Some("10-20".to_string())); } #[test] @@ -260,10 +266,7 @@ mod tests { // range=0.3 → defaultWidth=10^-1=0.1 // 0.1 >= 0.5 false → width=1 // value=42 → binStart=42, binEnd=43 → "42-43" - assert_eq!( - calculate(42.0, 0.5, 0.3, 0.3), - Some("42-43".to_string()) - ); + assert_eq!(calculate(42.0, 0.5, 0.3, 0.3), Some("42-43".to_string())); } // ── min_span guards ──────────────────────────────────────────────────── @@ -367,10 +370,18 @@ mod tests { config_options: Arc::new(Default::default()), }; let out = udf.invoke_with_args(args).unwrap(); - let ColumnarValue::Array(a) = out else { panic!("expected array") }; + let ColumnarValue::Array(a) = out else { + panic!("expected array") + }; let s = a.as_string::(); (0..n) - .map(|i| if s.is_null(i) { None } else { Some(s.value(i).to_string()) }) + .map(|i| { + if s.is_null(i) { + None + } else { + Some(s.value(i).to_string()) + } + }) .collect() } @@ -413,7 +424,12 @@ mod tests { fn coerce_types_rejects_non_numeric() { let udf = MinspanBucketUdf::new(); assert!(udf - .coerce_types(&[DataType::Utf8, DataType::Float64, DataType::Float64, DataType::Float64]) + .coerce_types(&[ + DataType::Utf8, + DataType::Float64, + DataType::Float64, + DataType::Float64 + ]) .is_err()); } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mod.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mod.rs index 1beb145504b4e..853b85fe13cd5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mod.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mod.rs @@ -122,8 +122,8 @@ pub(crate) fn coerce_args( pub mod binary_to_base64; pub mod conv; -pub mod convert_tz; pub mod conversion; +pub mod convert_tz; pub mod crc32; pub mod date_format; pub mod extract; @@ -155,6 +155,7 @@ pub mod os_week; pub mod parse; pub mod pattern_parser; pub mod range_bucket; +pub mod reduce_eval; pub mod rex_extract; pub mod rex_extract_multi; pub mod rex_offset; @@ -164,7 +165,6 @@ pub mod str_to_date; pub mod strftime; pub mod time_format; pub mod width_bucket; -pub mod reduce_eval; // Dev note: if a freshly added UDF here fails at runtime with // "Unsupported function name: " despite the Java side being wired, the @@ -346,7 +346,10 @@ mod tests { fn utf8_passes_string_variant_through_unchanged() { for observed in [DataType::Utf8, DataType::LargeUtf8, DataType::Utf8View] { let result = coerce_slot("s", 0, &observed, CoerceMode::Utf8).unwrap(); - assert_eq!(result, observed, "CoerceMode::Utf8 should pass the variant through"); + assert_eq!( + result, observed, + "CoerceMode::Utf8 should pass the variant through" + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvappend.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvappend.rs index b6207d87badd9..4553a53fd4d79 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvappend.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvappend.rs @@ -39,8 +39,8 @@ use datafusion::arrow::array::{ Float32Array, Float32Builder, Float64Array, Float64Builder, GenericListArray, Int16Array, Int16Builder, Int32Array, Int32Builder, Int64Array, Int64Builder, Int8Array, Int8Builder, ListArray, ListBuilder, StringArray, StringBuilder, StringViewArray, StringViewBuilder, - UInt16Array, UInt16Builder, UInt32Array, UInt32Builder, UInt64Array, UInt64Builder, - UInt8Array, UInt8Builder, + UInt16Array, UInt16Builder, UInt32Array, UInt32Builder, UInt64Array, UInt64Builder, UInt8Array, + UInt8Builder, }; use datafusion::arrow::datatypes::{DataType, Field}; use datafusion::common::plan_err; @@ -88,8 +88,11 @@ impl ScalarUDFImpl for MvappendUdf { } // Java adapter pre-coerces every operand to either ARRAY or E for a // single E. Use whichever element type we see first. - let element_type = element_type(arg_types) - .ok_or_else(|| DataFusionError::Plan("mvappend: unable to determine element type from operand types".to_string()))?; + let element_type = element_type(arg_types).ok_or_else(|| { + DataFusionError::Plan( + "mvappend: unable to determine element type from operand types".to_string(), + ) + })?; Ok(DataType::List(Arc::new(Field::new( "item", element_type, @@ -109,8 +112,16 @@ impl ScalarUDFImpl for MvappendUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { let n = args.number_rows; - let element_type = element_type(&args.arg_fields.iter().map(|f| f.data_type().clone()).collect::>()) - .ok_or_else(|| DataFusionError::Internal("mvappend: lost element type at invoke".to_string()))?; + let element_type = element_type( + &args + .arg_fields + .iter() + .map(|f| f.data_type().clone()) + .collect::>(), + ) + .ok_or_else(|| { + DataFusionError::Internal("mvappend: lost element type at invoke".to_string()) + })?; // Materialize each operand as an ArrayRef whose Arrow type is either // {element_type} or List. Scalar operands replicate to n rows. @@ -130,16 +141,17 @@ impl ScalarUDFImpl for MvappendUdf { if arr.is_null(row) { continue; } - if let Some(list_arr) = arr.as_any().downcast_ref::>() { + if let Some(list_arr) = arr.as_any().downcast_ref::>() + { // Iterate elements of the list at this row. let row_list = list_arr.value(row); - let typed = row_list - .as_any() - .downcast_ref::<$Scalar>() - .ok_or_else(|| DataFusionError::Internal(format!( - "mvappend: list element vector type mismatch ({:?})", - row_list.data_type() - )))?; + let typed = + row_list.as_any().downcast_ref::<$Scalar>().ok_or_else(|| { + DataFusionError::Internal(format!( + "mvappend: list element vector type mismatch ({:?})", + row_list.data_type() + )) + })?; for i in 0..typed.len() { if !typed.is_null(i) { builder.values().append_value(typed.value(i)); @@ -185,7 +197,9 @@ impl ScalarUDFImpl for MvappendUdf { DataType::Decimal128(precision, scale) => { let inner = Decimal128Builder::new() .with_precision_and_scale(*precision, *scale) - .map_err(|e| DataFusionError::Plan(format!("mvappend: decimal builder: {e}")))?; + .map_err(|e| { + DataFusionError::Plan(format!("mvappend: decimal builder: {e}")) + })?; let mut builder = ListBuilder::new(inner); for row in 0..n { let mut any_value = false; @@ -193,15 +207,18 @@ impl ScalarUDFImpl for MvappendUdf { if arr.is_null(row) { continue; } - if let Some(list_arr) = arr.as_any().downcast_ref::>() { + if let Some(list_arr) = arr.as_any().downcast_ref::>() + { let row_list = list_arr.value(row); let typed = row_list .as_any() .downcast_ref::() - .ok_or_else(|| DataFusionError::Internal(format!( - "mvappend: list element vector type mismatch ({:?})", - row_list.data_type() - )))?; + .ok_or_else(|| { + DataFusionError::Internal(format!( + "mvappend: list element vector type mismatch ({:?})", + row_list.data_type() + )) + })?; for i in 0..typed.len() { if !typed.is_null(i) { builder.values().append_value(typed.value(i)); @@ -449,7 +466,10 @@ mod tests { } let inner = list.value(row); let typed = inner.as_primitive::(); - (0..typed.len()).filter(|i| !typed.is_null(*i)).map(|i| typed.value(i)).collect() + (0..typed.len()) + .filter(|i| !typed.is_null(*i)) + .map(|i| typed.value(i)) + .collect() } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvfind.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvfind.rs index 4b2fe2e6e63c9..dc96d79aa80db 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvfind.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvfind.rs @@ -110,27 +110,31 @@ impl ScalarUDFImpl for MvfindUdf { let n = args.number_rows; // Fast path: pattern is a Utf8 scalar literal — compile once. - let scalar_regex: Option = if let ColumnarValue::Scalar(ScalarValue::Utf8(Some(p))) - | ColumnarValue::Scalar(ScalarValue::LargeUtf8(Some(p))) - | ColumnarValue::Scalar(ScalarValue::Utf8View(Some(p))) = &args.args[1] - { - // Plan-time invalid pattern → planning error so users see it instantly. - // Mirrors the SQL plugin's IllegalArgumentException for invalid literal regex. - match Regex::new(p) { - Ok(r) => Some(r), - Err(e) => return plan_err!("mvfind: invalid regex pattern '{p}': {e}"), - } - } else { - None - }; + let scalar_regex: Option = + if let ColumnarValue::Scalar(ScalarValue::Utf8(Some(p))) + | ColumnarValue::Scalar(ScalarValue::LargeUtf8(Some(p))) + | ColumnarValue::Scalar(ScalarValue::Utf8View(Some(p))) = &args.args[1] + { + // Plan-time invalid pattern → planning error so users see it instantly. + // Mirrors the SQL plugin's IllegalArgumentException for invalid literal regex. + match Regex::new(p) { + Ok(r) => Some(r), + Err(e) => return plan_err!("mvfind: invalid regex pattern '{p}': {e}"), + } + } else { + None + }; let arr_arr = args.args[0].clone().into_array(n)?; - let list = arr_arr.as_any().downcast_ref::>().ok_or_else(|| { - DataFusionError::Internal(format!( - "mvfind: expected ListArray, got {:?}", - arr_arr.data_type() - )) - })?; + let list = arr_arr + .as_any() + .downcast_ref::>() + .ok_or_else(|| { + DataFusionError::Internal(format!( + "mvfind: expected ListArray, got {:?}", + arr_arr.data_type() + )) + })?; // Materialize a column-valued pattern up front; for scalar patterns we keep // the pre-compiled regex. @@ -139,8 +143,10 @@ impl ScalarUDFImpl for MvfindUdf { } else { None }; - let pattern_arr: Option> = - pattern_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; + let pattern_arr: Option> = pattern_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; let mut builder = Int32Builder::with_capacity(n); for i in 0..n { @@ -149,11 +155,12 @@ impl ScalarUDFImpl for MvfindUdf { continue; } // Per-row regex (compile if column-valued; reuse the scalar compile otherwise). - let regex_for_row: Option = match (&scalar_regex, pattern_arr.as_ref().and_then(|a| a.cell(i))) { - (Some(r), _) => Some(r.clone()), - (None, Some(s)) => Regex::new(s).ok(), - _ => None, - }; + let regex_for_row: Option = + match (&scalar_regex, pattern_arr.as_ref().and_then(|a| a.cell(i))) { + (Some(r), _) => Some(r.clone()), + (None, Some(s)) => Regex::new(s).ok(), + _ => None, + }; let regex = match regex_for_row { Some(r) => r, None => { @@ -192,7 +199,9 @@ fn find_first_match(arr: &dyn Array, regex: &Regex) -> Option { } match arr.data_type() { DataType::Utf8 => { - let typed = arr.as_any().downcast_ref::()?; + let typed = arr + .as_any() + .downcast_ref::()?; for i in 0..n { if !typed.is_null(i) && regex.is_match(typed.value(i)) { return Some(i as i32); @@ -201,7 +210,9 @@ fn find_first_match(arr: &dyn Array, regex: &Regex) -> Option { None } DataType::LargeUtf8 => { - let typed = arr.as_any().downcast_ref::()?; + let typed = arr + .as_any() + .downcast_ref::()?; for i in 0..n { if !typed.is_null(i) && regex.is_match(typed.value(i)) { return Some(i as i32); @@ -210,7 +221,9 @@ fn find_first_match(arr: &dyn Array, regex: &Regex) -> Option { None } DataType::Utf8View => { - let typed = arr.as_any().downcast_ref::()?; + let typed = arr + .as_any() + .downcast_ref::()?; for i in 0..n { if !typed.is_null(i) && regex.is_match(typed.value(i)) { return Some(i as i32); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvzip.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvzip.rs index 3a17a69995bfb..7d15b1d9b9c5e 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvzip.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/mvzip.rs @@ -90,7 +90,10 @@ impl ScalarUDFImpl for MvzipUdf { return plan_err!("mvzip expects 2 or 3 arguments, got {}", arg_types.len()); } for (i, t) in arg_types.iter().take(2).enumerate() { - if !matches!(t, DataType::List(_) | DataType::LargeList(_) | DataType::FixedSizeList(_, _)) { + if !matches!( + t, + DataType::List(_) | DataType::LargeList(_) | DataType::FixedSizeList(_, _) + ) { return plan_err!("mvzip: arg {i} expected list type, got {t:?}"); } } @@ -100,7 +103,9 @@ impl ScalarUDFImpl for MvzipUdf { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => { coerced.push(DataType::Utf8) } - other => return plan_err!("mvzip: arg 2 (separator) expected string, got {other:?}"), + other => { + return plan_err!("mvzip: arg 2 (separator) expected string, got {other:?}") + } } } Ok(coerced) @@ -147,8 +152,7 @@ impl ScalarUDFImpl for MvzipUdf { for j in 0..take { let l = left_strs[j].as_deref().unwrap_or(""); let r = right_strs[j].as_deref().unwrap_or(""); - let mut joined = - String::with_capacity(l.len() + separator.len() + r.len()); + let mut joined = String::with_capacity(l.len() + separator.len() + r.len()); joined.push_str(l); joined.push_str(&separator); joined.push_str(r); @@ -176,12 +180,14 @@ fn scalar_string(cv: &ColumnarValue) -> Option<&str> { } fn downcast_list<'a>(arr: &'a ArrayRef, slot: &str) -> Result<&'a ListArray> { - arr.as_any().downcast_ref::>().ok_or_else(|| { - DataFusionError::Internal(format!( - "mvzip: {slot} expected ListArray, got {:?}", - arr.data_type() - )) - }) + arr.as_any() + .downcast_ref::>() + .ok_or_else(|| { + DataFusionError::Internal(format!( + "mvzip: {slot} expected ListArray, got {:?}", + arr.data_type() + )) + }) } /// Convert each element of an Arrow array of any supported scalar type to its @@ -273,9 +279,14 @@ mod tests { use datafusion::arrow::array::StringBuilder as ArrowStringBuilder; fn run(left: ArrayRef, right: ArrayRef, sep: Option<&str>) -> ArrayRef { - let mut args = vec![ColumnarValue::Array(left.clone()), ColumnarValue::Array(right.clone())]; + let mut args = vec![ + ColumnarValue::Array(left.clone()), + ColumnarValue::Array(right.clone()), + ]; if let Some(s) = sep { - args.push(ColumnarValue::Scalar(ScalarValue::Utf8(Some(s.to_string())))); + args.push(ColumnarValue::Scalar(ScalarValue::Utf8(Some( + s.to_string(), + )))); } let n = left.len(); let return_field = Arc::new(Field::new( diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_strftime.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_strftime.rs index 0c57a94f54e3e..2455f07249240 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_strftime.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_strftime.rs @@ -16,11 +16,38 @@ use chrono::{DateTime, Datelike, TimeZone, Timelike, Utc, Weekday}; #[derive(Debug, Clone, Copy, PartialEq, Eq)] enum Token { Literal(char), - A, B, C, D, DLower, E, F, - HUpper, HLower, ILower, IUpper, J, K, L, - MUpper, MLower, P, PUpper, R, SUpper, SLower, T, - UUpper, ULower, VUpper, VLower, W, WLower, - XUpper, XLower, YUpper, YLower, + A, + B, + C, + D, + DLower, + E, + F, + HUpper, + HLower, + ILower, + IUpper, + J, + K, + L, + MUpper, + MLower, + P, + PUpper, + R, + SUpper, + SLower, + T, + UUpper, + ULower, + VUpper, + VLower, + W, + WLower, + XUpper, + XLower, + YUpper, + YLower, } fn tokenize(format: &str) -> Vec { @@ -149,19 +176,47 @@ fn render_token(tok: Token, dt: DateTime, mode: FormatMode) -> Option "MM" in date mode), which differs from stock MySQL's // no-leading-zero %c. PPL semantics are the contract on the analytics-engine route. // Time mode keeps the reference's single-"0" literal (TIME_HANDLERS maps %c -> "0"). - Token::C => Str(if time_mode { "0".into() } else { format!("{:02}", dt.month()) }), - Token::DLower => Str(if time_mode { "00".into() } else { format!("{:02}", dt.day()) }), - Token::E => Str(if time_mode { "0".into() } else { dt.day().to_string() }), - Token::MLower => Str(if time_mode { "00".into() } else { format!("{:02}", dt.month()) }), - Token::YUpper => Str(if time_mode { "0000".into() } else { format!("{:04}", dt.year()) }), - Token::YLower => Str(if time_mode { "00".into() } else { format!("{:02}", dt.year() % 100) }), + Token::C => Str(if time_mode { + "0".into() + } else { + format!("{:02}", dt.month()) + }), + Token::DLower => Str(if time_mode { + "00".into() + } else { + format!("{:02}", dt.day()) + }), + Token::E => Str(if time_mode { + "0".into() + } else { + dt.day().to_string() + }), + Token::MLower => Str(if time_mode { + "00".into() + } else { + format!("{:02}", dt.month()) + }), + Token::YUpper => Str(if time_mode { + "0000".into() + } else { + format!("{:04}", dt.year()) + }), + Token::YLower => Str(if time_mode { + "00".into() + } else { + format!("{:02}", dt.year() % 100) + }), Token::F => Str(format!("{:06}", dt.nanosecond() / 1_000)), Token::HUpper => Str(format!("{:02}", dt.hour())), Token::HLower | Token::IUpper => Str(format!("{:02}", twelve_hour(dt.hour()))), Token::ILower => Str(format!("{:02}", dt.minute())), Token::K => Str(dt.hour().to_string()), Token::L => Str(twelve_hour(dt.hour()).to_string()), - Token::P => Str(if dt.hour() < 12 { "AM".into() } else { "PM".into() }), + Token::P => Str(if dt.hour() < 12 { + "AM".into() + } else { + "PM".into() + }), // %P is non-MySQL; PPL passes the trailing letter through verbatim Token::PUpper => Char('P'), Token::R => Str(format!( @@ -172,14 +227,23 @@ fn render_token(tok: Token, dt: DateTime, mode: FormatMode) -> Option Str(format!("{:02}", dt.second())), - Token::T => Str(format!("{:02}:{:02}:{:02}", dt.hour(), dt.minute(), dt.second())), + Token::T => Str(format!( + "{:02}:{:02}:{:02}", + dt.hour(), + dt.minute(), + dt.second() + )), }; Some(r) } fn twelve_hour(h: u32) -> u32 { let h = h % 12; - if h == 0 { 12 } else { h } + if h == 0 { + 12 + } else { + h + } } fn ordinal_suffix(day: u32) -> &'static str { @@ -196,32 +260,56 @@ fn ordinal_suffix(day: u32) -> &'static str { fn weekday_short(w: Weekday) -> &'static str { match w { - Weekday::Mon => "Mon", Weekday::Tue => "Tue", Weekday::Wed => "Wed", - Weekday::Thu => "Thu", Weekday::Fri => "Fri", Weekday::Sat => "Sat", Weekday::Sun => "Sun", + Weekday::Mon => "Mon", + Weekday::Tue => "Tue", + Weekday::Wed => "Wed", + Weekday::Thu => "Thu", + Weekday::Fri => "Fri", + Weekday::Sat => "Sat", + Weekday::Sun => "Sun", } } fn weekday_full(w: Weekday) -> &'static str { match w { - Weekday::Mon => "Monday", Weekday::Tue => "Tuesday", Weekday::Wed => "Wednesday", - Weekday::Thu => "Thursday", Weekday::Fri => "Friday", - Weekday::Sat => "Saturday", Weekday::Sun => "Sunday", + Weekday::Mon => "Monday", + Weekday::Tue => "Tuesday", + Weekday::Wed => "Wednesday", + Weekday::Thu => "Thursday", + Weekday::Fri => "Friday", + Weekday::Sat => "Saturday", + Weekday::Sun => "Sunday", } } fn month_short(m: u32) -> &'static str { - ["", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"] - .get(m as usize) - .copied() - .unwrap_or("") + [ + "", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", + ] + .get(m as usize) + .copied() + .unwrap_or("") } fn month_full(m: u32) -> &'static str { - ["", "January", "February", "March", "April", "May", "June", - "July", "August", "September", "October", "November", "December"] - .get(m as usize) - .copied() - .unwrap_or("") + [ + "", + "January", + "February", + "March", + "April", + "May", + "June", + "July", + "August", + "September", + "October", + "November", + "December", + ] + .get(m as usize) + .copied() + .unwrap_or("") } fn week_number_sunday_first(dt: DateTime) -> u32 { @@ -292,8 +380,13 @@ fn days_until_start(from: Weekday, start: Weekday) -> u32 { fn weekday_idx(w: Weekday) -> u32 { match w { - Weekday::Mon => 0, Weekday::Tue => 1, Weekday::Wed => 2, Weekday::Thu => 3, - Weekday::Fri => 4, Weekday::Sat => 5, Weekday::Sun => 6, + Weekday::Mon => 0, + Weekday::Tue => 1, + Weekday::Wed => 2, + Weekday::Thu => 3, + Weekday::Fri => 4, + Weekday::Sat => 5, + Weekday::Sun => 6, } } @@ -319,7 +412,8 @@ impl Parsed { pub(crate) fn to_naive(&self) -> Option { let (y, mo, d) = (self.year, self.month, self.day); let has_time = self.hour.is_some() || self.hour_12.is_some(); - let has_date_parts = y.is_some() || mo.is_some() || d.is_some() || self.day_of_year.is_some(); + let has_date_parts = + y.is_some() || mo.is_some() || d.is_some() || self.day_of_year.is_some(); if !has_date_parts && !has_time { return None; } @@ -463,7 +557,9 @@ pub(crate) fn parse_os_strftime(input: &str, format: &str) -> Option { } // %P consumes a single literal P (mirrors the formatter's pass-through behavior) Token::PUpper => { - if pos >= input_bytes.len() || (input_bytes[pos] != b'P' && input_bytes[pos] != b'p') { + if pos >= input_bytes.len() + || (input_bytes[pos] != b'P' && input_bytes[pos] != b'p') + { return None; } pos += 1; @@ -541,12 +637,21 @@ pub(crate) fn parse_os_strftime(input: &str, format: &str) -> Option { /// `September` doesn't get truncated to `Sep` with `tember` left as dangling input. fn match_month_name(bytes: &[u8], pos: usize) -> Option<(u32, usize)> { const FULL: [&str; 12] = [ - "January", "February", "March", "April", "May", "June", - "July", "August", "September", "October", "November", "December", + "January", + "February", + "March", + "April", + "May", + "June", + "July", + "August", + "September", + "October", + "November", + "December", ]; const SHORT: [&str; 12] = [ - "Jan", "Feb", "Mar", "Apr", "May", "Jun", - "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", + "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", ]; let tail = bytes.get(pos..)?; for (i, name) in FULL.iter().enumerate() { @@ -617,7 +722,9 @@ mod tests { fn sample() -> DateTime { // 2020-03-15 10:30:45.123456 UTC (Sunday) - Utc.timestamp_micros(1_584_268_245_123_456).single().unwrap() + Utc.timestamp_micros(1_584_268_245_123_456) + .single() + .unwrap() } fn fmt(dt: DateTime, f: &str, m: FormatMode) -> Option { @@ -627,17 +734,34 @@ mod tests { #[test] fn date_mode_common_tokens() { let dt = sample(); - assert_eq!(fmt(dt, "%Y-%m-%d %H:%i:%S", FormatMode::Date).unwrap(), "2020-03-15 10:30:45"); - assert_eq!(fmt(dt, "%W, %M %D, %Y", FormatMode::Date).unwrap(), "Sunday, March 15th, 2020"); - assert_eq!(fmt(dt, "%h:%i:%s %p", FormatMode::Date).unwrap(), "10:30:45 AM"); + assert_eq!( + fmt(dt, "%Y-%m-%d %H:%i:%S", FormatMode::Date).unwrap(), + "2020-03-15 10:30:45" + ); + assert_eq!( + fmt(dt, "%W, %M %D, %Y", FormatMode::Date).unwrap(), + "Sunday, March 15th, 2020" + ); + assert_eq!( + fmt(dt, "%h:%i:%s %p", FormatMode::Date).unwrap(), + "10:30:45 AM" + ); } #[test] fn ordinal_suffix_edges() { for (d, want) in [ - (1, "1st"), (2, "2nd"), (3, "3rd"), (4, "4th"), - (11, "11th"), (12, "12th"), (13, "13th"), - (21, "21st"), (22, "22nd"), (23, "23rd"), (31, "31st"), + (1, "1st"), + (2, "2nd"), + (3, "3rd"), + (4, "4th"), + (11, "11th"), + (12, "12th"), + (13, "13th"), + (21, "21st"), + (22, "22nd"), + (23, "23rd"), + (31, "31st"), ] { let dt = Utc.with_ymd_and_hms(2020, 1, d, 0, 0, 0).unwrap(); assert_eq!(fmt(dt, "%D", FormatMode::Date).unwrap(), want, "day={d}"); @@ -647,7 +771,10 @@ mod tests { #[test] fn time_mode_masks_date_tokens() { let dt = sample(); - assert_eq!(fmt(dt, "%Y-%m-%d %H:%i:%S", FormatMode::Time).unwrap(), "0000-00-00 10:30:45"); + assert_eq!( + fmt(dt, "%Y-%m-%d %H:%i:%S", FormatMode::Time).unwrap(), + "0000-00-00 10:30:45" + ); assert!(fmt(dt, "%W", FormatMode::Time).is_none()); assert!(fmt(dt, "%a %H:%i", FormatMode::Time).is_none()); } @@ -669,8 +796,10 @@ mod tests { // 1998-01-31 (Saturday): all four week tokens render `04`. let jan31 = Utc.with_ymd_and_hms(1998, 1, 31, 0, 0, 0).unwrap(); - assert_eq!(fmt(jan31, "%U %u %V %v %W %w %X %x %Y %y", FormatMode::Date).unwrap(), - "04 04 04 04 Saturday 6 1998 1998 1998 98"); + assert_eq!( + fmt(jan31, "%U %u %V %v %W %w %X %x %Y %y", FormatMode::Date).unwrap(), + "04 04 04 04 Saturday 6 1998 1998 1998 98" + ); } #[test] @@ -695,13 +824,20 @@ mod tests { #[test] fn parse_roundtrip_and_defaults() { for (input, format, expected) in [ - ("2020-03-15 10:30:45", "%Y-%m-%d %H:%i:%S", "2020-03-15 10:30:45"), + ( + "2020-03-15 10:30:45", + "%Y-%m-%d %H:%i:%S", + "2020-03-15 10:30:45", + ), ("2020-03-15 extra", "%Y-%m-%d", "2020-03-15 00:00:00"), ("2020", "%Y", "2020-01-01 00:00:00"), // PPL uses `today`; we emit the MySQL-compatible 2000-01-01 default for determinism. ("10:30:45", "%H:%i:%S", "2000-01-01 10:30:45"), ] { - let ndt = parse_os_strftime(input, format).unwrap().to_naive().unwrap(); + let ndt = parse_os_strftime(input, format) + .unwrap() + .to_naive() + .unwrap(); assert_eq!(ndt.to_string(), expected, "input={input}"); } } @@ -745,7 +881,10 @@ mod tests { #[test] fn parse_fractional_seconds() { let p = parse_os_strftime("2020-03-15 10:30:45.123456", "%Y-%m-%d %H:%i:%S.%f").unwrap(); - assert_eq!(p.to_naive().unwrap().and_utc().timestamp_micros(), 1_584_268_245_123_456); + assert_eq!( + p.to_naive().unwrap().and_utc().timestamp_micros(), + 1_584_268_245_123_456 + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_week.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_week.rs index 5645202d3b9fb..13c22a2d838f4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_week.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/os_week.rs @@ -71,7 +71,9 @@ impl ScalarUDFImpl for OsWeekUdf { | DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => out.push(DataType::Date32), - other => return plan_err!("os_week: arg 0 expected date/timestamp/string, got {other:?}"), + other => { + return plan_err!("os_week: arg 0 expected date/timestamp/string, got {other:?}") + } } if arg_types.len() == 2 { match &arg_types[1] { @@ -100,9 +102,11 @@ impl ScalarUDFImpl for OsWeekUdf { let dates = date_arg .as_any() .downcast_ref::() - .ok_or_else(|| datafusion::error::DataFusionError::Internal( - "os_week: arg 0 not coerced to Date32".to_string(), - ))?; + .ok_or_else(|| { + datafusion::error::DataFusionError::Internal( + "os_week: arg 0 not coerced to Date32".to_string(), + ) + })?; let mut builder = Int32Builder::with_capacity(n); for i in 0..n { if dates.is_null(i) { @@ -111,14 +115,17 @@ impl ScalarUDFImpl for OsWeekUdf { } let mode = match &mode_arg { Some(arr) if arr.is_null(i) => 0, - Some(arr) => arr.as_primitive::().value(i), + Some(arr) => arr + .as_primitive::() + .value(i), None => 0, }; let days = dates.value(i); - let date = NaiveDate::from_num_days_from_ce_opt(days + 719_163) - .ok_or_else(|| datafusion::error::DataFusionError::Execution( - format!("os_week: invalid Date32 day count {days}"), - ))?; + let date = NaiveDate::from_num_days_from_ce_opt(days + 719_163).ok_or_else(|| { + datafusion::error::DataFusionError::Execution(format!( + "os_week: invalid Date32 day count {days}" + )) + })?; builder.append_value(os_week_number(date, mode) as i32); } Ok(ColumnarValue::Array(Arc::new(builder.finish()) as ArrayRef)) @@ -149,13 +156,19 @@ impl ScalarUDFImpl for OsYearweekUdf { } fn return_type(&self, arg_types: &[DataType]) -> Result { if arg_types.is_empty() || arg_types.len() > 2 { - return plan_err!("os_yearweek expects 1 or 2 arguments, got {}", arg_types.len()); + return plan_err!( + "os_yearweek expects 1 or 2 arguments, got {}", + arg_types.len() + ); } Ok(DataType::Int32) } fn coerce_types(&self, arg_types: &[DataType]) -> Result> { if arg_types.is_empty() || arg_types.len() > 2 { - return plan_err!("os_yearweek expects 1 or 2 arguments, got {}", arg_types.len()); + return plan_err!( + "os_yearweek expects 1 or 2 arguments, got {}", + arg_types.len() + ); } let mut out = Vec::with_capacity(arg_types.len()); match &arg_types[0] { @@ -165,7 +178,11 @@ impl ScalarUDFImpl for OsYearweekUdf { | DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => out.push(DataType::Date32), - other => return plan_err!("os_yearweek: arg 0 expected date/timestamp/string, got {other:?}"), + other => { + return plan_err!( + "os_yearweek: arg 0 expected date/timestamp/string, got {other:?}" + ) + } } if arg_types.len() == 2 { match &arg_types[1] { @@ -177,7 +194,9 @@ impl ScalarUDFImpl for OsYearweekUdf { | DataType::UInt16 | DataType::UInt32 | DataType::UInt64 => out.push(DataType::Int32), - other => return plan_err!("os_yearweek: arg 1 expected integer mode, got {other:?}"), + other => { + return plan_err!("os_yearweek: arg 1 expected integer mode, got {other:?}") + } } } Ok(out) @@ -194,9 +213,11 @@ impl ScalarUDFImpl for OsYearweekUdf { let dates = date_arg .as_any() .downcast_ref::() - .ok_or_else(|| datafusion::error::DataFusionError::Internal( - "os_yearweek: arg 0 not coerced to Date32".to_string(), - ))?; + .ok_or_else(|| { + datafusion::error::DataFusionError::Internal( + "os_yearweek: arg 0 not coerced to Date32".to_string(), + ) + })?; let mut builder = Int32Builder::with_capacity(n); for i in 0..n { if dates.is_null(i) { @@ -205,14 +226,17 @@ impl ScalarUDFImpl for OsYearweekUdf { } let mode = match &mode_arg { Some(arr) if arr.is_null(i) => 0, - Some(arr) => arr.as_primitive::().value(i), + Some(arr) => arr + .as_primitive::() + .value(i), None => 0, }; let days = dates.value(i); - let date = NaiveDate::from_num_days_from_ce_opt(days + 719_163) - .ok_or_else(|| datafusion::error::DataFusionError::Execution( - format!("os_yearweek: invalid Date32 day count {days}"), - ))?; + let date = NaiveDate::from_num_days_from_ce_opt(days + 719_163).ok_or_else(|| { + datafusion::error::DataFusionError::Execution(format!( + "os_yearweek: invalid Date32 day count {days}" + )) + })?; builder.append_value(os_yearweek_number(date, mode)); } Ok(ColumnarValue::Array(Arc::new(builder.finish()) as ArrayRef)) @@ -260,7 +284,11 @@ fn os_year_number(date: NaiveDate, mode: i32) -> i32 { /// `(firstDayOfWeek, minimalDaysInFirstWeek)` for MySQL modes 0..7. fn week_params(mode: u32) -> (Weekday, u32) { - let first = if mode % 2 == 0 { Weekday::Sun } else { Weekday::Mon }; + let first = if mode % 2 == 0 { + Weekday::Sun + } else { + Weekday::Mon + }; let min_days = match mode { 1 | 3 => 5, 4 | 6 => 4, @@ -373,8 +401,14 @@ mod tests { fn os_yearweek_jan1_1900_all_modes() { let d = NaiveDate::from_ymd_opt(1900, 1, 1).unwrap(); let expected: [(i32, i32); 8] = [ - (0, 189953), (1, 190001), (2, 189953), (3, 190001), - (4, 190001), (5, 190001), (6, 190001), (7, 190001), + (0, 189953), + (1, 190001), + (2, 189953), + (3, 190001), + (4, 190001), + (5, 190001), + (6, 190001), + (7, 190001), ]; for (mode, want) in expected { assert_eq!(os_yearweek_number(d, mode), want, "mode={mode}"); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/parse.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/parse.rs index 50131647480c4..45cb6e75b9d6a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/parse.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/parse.rs @@ -34,7 +34,9 @@ use std::sync::Arc; -use datafusion::arrow::array::{Array, ArrayRef, MapBuilder, MapFieldNames, StringArray, StringBuilder}; +use datafusion::arrow::array::{ + Array, ArrayRef, MapBuilder, MapFieldNames, StringArray, StringBuilder, +}; use datafusion::arrow::datatypes::{DataType, Field}; use datafusion::common::{plan_err, ScalarValue}; use datafusion::error::{DataFusionError, Result}; @@ -118,14 +120,12 @@ impl ScalarUDFImpl for ParseUdf { // The Java adapter validates that pattern + method are non-null string // literals at plan time. Re-check defensively so a misuse from an // unknown caller produces an actionable plan error instead of a panic. - let pattern = scalar_str(&args.args[1]) - .ok_or_else(|| DataFusionError::Plan( - "parse: pattern must be a non-null string literal".into(), - ))?; - let method = scalar_str(&args.args[2]) - .ok_or_else(|| DataFusionError::Plan( - "parse: method must be a non-null string literal".into(), - ))?; + let pattern = scalar_str(&args.args[1]).ok_or_else(|| { + DataFusionError::Plan("parse: pattern must be a non-null string literal".into()) + })?; + let method = scalar_str(&args.args[2]).ok_or_else(|| { + DataFusionError::Plan("parse: method must be a non-null string literal".into()) + })?; if method != "regex" { return Err(DataFusionError::Plan(format!( @@ -139,9 +139,8 @@ impl ScalarUDFImpl for ParseUdf { // group is safe — it does not perturb the named-group indexing the // caller relies on. let anchored = format!("^(?:{pattern})$"); - let regex = Regex::new(&anchored).map_err(|e| { - DataFusionError::Plan(format!("parse: invalid regex [{pattern}]: {e}")) - })?; + let regex = Regex::new(&anchored) + .map_err(|e| DataFusionError::Plan(format!("parse: invalid regex [{pattern}]: {e}")))?; // Collect named groups in pattern definition order so the resulting // map's key order matches what users see in legacy PPL output. @@ -160,10 +159,12 @@ impl ScalarUDFImpl for ParseUdf { let input = input_arr .as_any() .downcast_ref::() - .ok_or_else(|| DataFusionError::Internal(format!( - "parse: expected Utf8 input, got {:?}", - input_arr.data_type(), - )))?; + .ok_or_else(|| { + DataFusionError::Internal(format!( + "parse: expected Utf8 input, got {:?}", + input_arr.data_type(), + )) + })?; let mut builder = MapBuilder::new( Some(MapFieldNames { @@ -226,11 +227,7 @@ mod tests { use datafusion::arrow::array::MapArray; use datafusion::arrow::datatypes::TimeUnit; - fn run_parse( - input: Vec>, - pattern: &str, - method: &str, - ) -> Result { + fn run_parse(input: Vec>, pattern: &str, method: &str) -> Result { let udf = ParseUdf::new(); let n = input.len(); let input_arr = StringArray::from(input); @@ -317,8 +314,14 @@ mod tests { ) .unwrap(); assert!(!map.is_null(0)); // row 0 cell is present - assert_eq!(entries_of(&map, 0), vec![("name".to_string(), "".to_string())]); - assert_eq!(entries_of(&map, 1), vec![("name".to_string(), "alice".to_string())]); + assert_eq!( + entries_of(&map, 0), + vec![("name".to_string(), "".to_string())] + ); + assert_eq!( + entries_of(&map, 1), + vec![("name".to_string(), "alice".to_string())] + ); } #[test] @@ -359,10 +362,7 @@ mod tests { let out = udf .coerce_types(&[DataType::LargeUtf8, DataType::Utf8View, DataType::Utf8]) .unwrap(); - assert_eq!( - out, - vec![DataType::Utf8, DataType::Utf8, DataType::Utf8] - ); + assert_eq!(out, vec![DataType::Utf8, DataType::Utf8, DataType::Utf8]); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/pattern_parser.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/pattern_parser.rs index 5378092d3d6ee..2db34c46a9500 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/pattern_parser.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/pattern_parser.rs @@ -97,20 +97,18 @@ impl ScalarUDFImpl for PatternParserUdf { let first = utf8_or_err(NAME, 0, &arg_types[0])?; let second = match &arg_types[1] { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => DataType::Utf8, - DataType::List(inner) | DataType::LargeList(inner) => { - match inner.data_type() { - DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => { - DataType::List(Arc::new(Field::new("item", DataType::Utf8, true))) - } - other => { - return plan_err!( - "{} arg 1: List element must be string, got {:?}", - NAME, - other - ); - } + DataType::List(inner) | DataType::LargeList(inner) => match inner.data_type() { + DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => { + DataType::List(Arc::new(Field::new("item", DataType::Utf8, true))) } - } + other => { + return plan_err!( + "{} arg 1: List element must be string, got {:?}", + NAME, + other + ); + } + }, other => { return plan_err!( "{} arg 1: expected string or List, got {:?}", @@ -390,12 +388,7 @@ fn read_utf8<'a>(udf: &str, slot: usize, arr: &'a ArrayRef) -> Result Result { match dt { DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View => Ok(DataType::Utf8), - other => plan_err!( - "{} arg {}: expected string, got {:?}", - udf, - slot, - other - ), + other => plan_err!("{} arg {}: expected string, got {:?}", udf, slot, other), } } @@ -449,8 +442,7 @@ fn build_struct_array(results: &[PatternResult]) -> Result { Field::new(FIELD_PATTERN, DataType::Utf8, true), Field::new(FIELD_TOKENS, tokens_map_type(), true), ]); - let struct_array = - StructArray::new(struct_fields, vec![pattern_array, tokens_array], None); + let struct_array = StructArray::new(struct_fields, vec![pattern_array, tokens_array], None); Ok(Arc::new(struct_array) as ArrayRef) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/range_bucket.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/range_bucket.rs index 3773216f773b2..8362671ff16ab 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/range_bucket.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/range_bucket.rs @@ -43,9 +43,7 @@ use std::sync::Arc; -use datafusion::arrow::array::{ - Array, ArrayRef, Float64Array, StringBuilder, -}; +use datafusion::arrow::array::{Array, ArrayRef, Float64Array, StringBuilder}; use datafusion::arrow::datatypes::DataType; use datafusion::common::plan_err; use datafusion::error::{DataFusionError, Result}; @@ -141,7 +139,13 @@ impl ScalarUDFImpl for RangeBucketUdf { } else { Some(end_param.value(i)) }; - match calculate(value.value(i), data_min.value(i), data_max.value(i), start, end) { + match calculate( + value.value(i), + data_min.value(i), + data_max.value(i), + start, + end, + ) { Some(s) => builder.append_value(&s), None => builder.append_null(), } @@ -202,7 +206,11 @@ fn magnitude_based_width(effective_range: f64) -> f64 { let log10_range = effective_range.log10(); let floor_log = log10_range.floor(); let is_exact_power_of_10 = (log10_range - floor_log).abs() < 1e-10; - let adjusted = if is_exact_power_of_10 { floor_log - 1.0 } else { floor_log }; + let adjusted = if is_exact_power_of_10 { + floor_log - 1.0 + } else { + floor_log + }; 10f64.powf(adjusted) } @@ -405,10 +413,18 @@ mod tests { config_options: Arc::new(Default::default()), }; let out = udf.invoke_with_args(args).unwrap(); - let ColumnarValue::Array(a) = out else { panic!("expected array") }; + let ColumnarValue::Array(a) = out else { + panic!("expected array") + }; let s = a.as_string::(); (0..n) - .map(|i| if s.is_null(i) { None } else { Some(s.value(i).to_string()) }) + .map(|i| { + if s.is_null(i) { + None + } else { + Some(s.value(i).to_string()) + } + }) .collect() } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/reduce_eval.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/reduce_eval.rs index 9849762274d91..10fa573623a83 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/reduce_eval.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/reduce_eval.rs @@ -17,7 +17,9 @@ use datafusion::common::{DataFusionError, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::functions_aggregate::approx_distinct::approx_distinct_udaf; use datafusion::logical_expr::function::AccumulatorArgs; -use datafusion::logical_expr::{ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, Volatility}; +use datafusion::logical_expr::{ + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, Volatility, +}; use datafusion::physical_expr::expressions::Column; pub fn register_all(ctx: &SessionContext) { @@ -28,12 +30,13 @@ pub fn register_all(ctx: &SessionContext) { struct ReduceEvalUdf; impl ScalarUDFImpl for ReduceEvalUdf { - fn name(&self) -> &str { "reduce_eval" } + fn name(&self) -> &str { + "reduce_eval" + } fn signature(&self) -> &Signature { - static SIG: std::sync::LazyLock = std::sync::LazyLock::new(|| { - Signature::any(2, Volatility::Immutable) - }); + static SIG: std::sync::LazyLock = + std::sync::LazyLock::new(|| Signature::any(2, Volatility::Immutable)); &SIG } @@ -44,7 +47,11 @@ impl ScalarUDFImpl for ReduceEvalUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { let agg_name = match &args.args[0] { ColumnarValue::Scalar(ScalarValue::Utf8(Some(s))) => s.clone(), - _ => return Err(DataFusionError::Execution("reduce_eval: first arg must be literal agg name".into())), + _ => { + return Err(DataFusionError::Execution( + "reduce_eval: first arg must be literal agg name".into(), + )) + } }; let state_col = match &args.args[1] { ColumnarValue::Array(a) => a.clone(), @@ -53,17 +60,25 @@ impl ScalarUDFImpl for ReduceEvalUdf { match agg_name.as_str() { "approx_distinct" => eval_approx_distinct(&state_col), - other => Err(DataFusionError::Execution(format!("reduce_eval: unsupported aggregate '{other}'"))), + other => Err(DataFusionError::Execution(format!( + "reduce_eval: unsupported aggregate '{other}'" + ))), } } } fn eval_approx_distinct(state_col: &ArrayRef) -> Result { - let binary = state_col.as_any().downcast_ref::() - .ok_or_else(|| DataFusionError::Execution("reduce_eval(approx_distinct): expected Binary state".into()))?; + let binary = state_col + .as_any() + .downcast_ref::() + .ok_or_else(|| { + DataFusionError::Execution("reduce_eval(approx_distinct): expected Binary state".into()) + })?; let field: Arc = Arc::new(Field::new("x", DataType::Int64, true)); - let schema = Arc::new(datafusion::arrow::datatypes::Schema::new(vec![field.as_ref().clone()])); + let schema = Arc::new(datafusion::arrow::datatypes::Schema::new(vec![field + .as_ref() + .clone()])); let expr: Arc = Arc::new(Column::new("x", 0)); let ret_field: Arc = Arc::new(Field::new("r", DataType::UInt64, true)); @@ -105,17 +120,29 @@ mod tests { fn test_reduce_eval_approx_distinct() { // Build an HLL state by updating an accumulator let field: Arc = Arc::new(Field::new("x", DataType::Int64, true)); - let schema = Arc::new(datafusion::arrow::datatypes::Schema::new(vec![field.as_ref().clone()])); + let schema = Arc::new(datafusion::arrow::datatypes::Schema::new(vec![field + .as_ref() + .clone()])); let expr: Arc = Arc::new(Column::new("x", 0)); let ret_field: Arc = Arc::new(Field::new("r", DataType::UInt64, true)); - let mut acc = approx_distinct_udaf().accumulator(AccumulatorArgs { - return_field: ret_field.clone(), schema: &schema, ignore_nulls: false, - order_bys: &[], name: "x", is_distinct: false, - exprs: &[expr.clone()], expr_fields: &[field.clone()], is_reversed: false, - }).unwrap(); + let mut acc = approx_distinct_udaf() + .accumulator(AccumulatorArgs { + return_field: ret_field.clone(), + schema: &schema, + ignore_nulls: false, + order_bys: &[], + name: "x", + is_distinct: false, + exprs: &[expr.clone()], + expr_fields: &[field.clone()], + is_reversed: false, + }) + .unwrap(); // Feed some values - let values: ArrayRef = Arc::new(datafusion::arrow::array::Int64Array::from(vec![1, 2, 3, 4, 5])); + let values: ArrayRef = Arc::new(datafusion::arrow::array::Int64Array::from(vec![ + 1, 2, 3, 4, 5, + ])); acc.update_batch(&[values]).unwrap(); let state = acc.state().unwrap(); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract.rs index 1bcf38b3c459e..f8d64b68ee23f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract.rs @@ -122,20 +122,26 @@ impl ScalarUDFImpl for RexExtractUdf { // Materialize column-valued operands lazily; keep the ArrayRef alive // alongside the StringArrayView (the view borrows the underlying buffers). - let pattern_arr_ref: Option = if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { - Some(args.args[1].clone().into_array(n)?) - } else { - None - }; - let group_arr_ref: Option = if group_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { - Some(args.args[2].clone().into_array(n)?) - } else { - None - }; - let pattern_array: Option> = - pattern_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; - let group_array: Option> = - group_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; + let pattern_arr_ref: Option = + if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { + Some(args.args[1].clone().into_array(n)?) + } else { + None + }; + let group_arr_ref: Option = + if group_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { + Some(args.args[2].clone().into_array(n)?) + } else { + None + }; + let pattern_array: Option> = pattern_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; + let group_array: Option> = group_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; let mut builder = StringBuilder::with_capacity(n, n * 16); for i in 0..n { @@ -146,7 +152,10 @@ impl ScalarUDFImpl for RexExtractUdf { // Resolve the regex — scalar fast-path or per-row column lookup. let regex_owned; - let regex: &Regex = match (&scalar_regex, pattern_array.as_ref().and_then(|a| a.cell(i))) { + let regex: &Regex = match ( + &scalar_regex, + pattern_array.as_ref().and_then(|a| a.cell(i)), + ) { (Some(r), _) => r, (None, Some(s)) => { regex_owned = compile_pattern(s)?; @@ -159,14 +168,15 @@ impl ScalarUDFImpl for RexExtractUdf { }; // Resolve the group name (or numeric index, if it parses as one). - let group_name: &str = match (&group_scalar, group_array.as_ref().and_then(|a| a.cell(i))) { - (Some(g), _) => g.as_str(), - (None, Some(s)) => s, - _ => { - builder.append_null(); - continue; - } - }; + let group_name: &str = + match (&group_scalar, group_array.as_ref().and_then(|a| a.cell(i))) { + (Some(g), _) => g.as_str(), + (None, Some(s)) => s, + _ => { + builder.append_null(); + continue; + } + }; match extract_group(regex, input_value, group_name) { Some(s) => builder.append_value(s), @@ -227,7 +237,10 @@ mod tests { fn extract_named_group_first_match() { let r = compile_pattern("(?[^@]+)@(?.+)").unwrap(); assert_eq!(extract_group(&r, "user@example.com", "host"), Some("user")); - assert_eq!(extract_group(&r, "user@example.com", "domain"), Some("example.com")); + assert_eq!( + extract_group(&r, "user@example.com", "domain"), + Some("example.com") + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract_multi.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract_multi.rs index cb808f3cab64b..19ace209f5d1d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract_multi.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_extract_multi.rs @@ -37,8 +37,8 @@ use datafusion::logical_expr::{ }; use regex::Regex; -use super::{coerce_args, CoerceMode}; use super::rex_extract::compile_pattern; +use super::{coerce_args, CoerceMode}; pub fn register_all(ctx: &SessionContext) { ctx.register_udf(ScalarUDF::from(RexExtractMultiUdf::new())); @@ -73,11 +73,18 @@ impl ScalarUDFImpl for RexExtractMultiUdf { fn return_type(&self, arg_types: &[DataType]) -> Result { if arg_types.len() != 4 { - return plan_err!("rex_extract_multi expects 4 arguments, got {}", arg_types.len()); + return plan_err!( + "rex_extract_multi expects 4 arguments, got {}", + arg_types.len() + ); } // List — element type is nullable Utf8 to match the Java // signature `ARRAY(VARCHAR_2000_NULLABLE)`. - Ok(DataType::List(Arc::new(Field::new("item", DataType::Utf8, true)))) + Ok(DataType::List(Arc::new(Field::new( + "item", + DataType::Utf8, + true, + )))) } fn coerce_types(&self, arg_types: &[DataType]) -> Result> { @@ -95,7 +102,10 @@ impl ScalarUDFImpl for RexExtractMultiUdf { fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result { if args.args.len() != 4 { - return plan_err!("rex_extract_multi expects 4 arguments, got {}", args.args.len()); + return plan_err!( + "rex_extract_multi expects 4 arguments, got {}", + args.args.len() + ); } let n = args.number_rows; @@ -111,25 +121,32 @@ impl ScalarUDFImpl for RexExtractMultiUdf { let input_arr = args.args[0].clone().into_array(n)?; let input = StringArrayView::from_array(&input_arr)?; - let pattern_arr_ref: Option = if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { - Some(args.args[1].clone().into_array(n)?) - } else { - None - }; - let group_arr_ref: Option = if group_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { - Some(args.args[2].clone().into_array(n)?) - } else { - None - }; - let max_match_arr_ref: Option = if max_match_scalar.is_none() && matches!(&args.args[3], ColumnarValue::Array(_)) { - Some(args.args[3].clone().into_array(n)?) - } else { - None - }; - let pattern_array: Option> = - pattern_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; - let group_array: Option> = - group_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; + let pattern_arr_ref: Option = + if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { + Some(args.args[1].clone().into_array(n)?) + } else { + None + }; + let group_arr_ref: Option = + if group_scalar.is_none() && matches!(&args.args[2], ColumnarValue::Array(_)) { + Some(args.args[2].clone().into_array(n)?) + } else { + None + }; + let max_match_arr_ref: Option = + if max_match_scalar.is_none() && matches!(&args.args[3], ColumnarValue::Array(_)) { + Some(args.args[3].clone().into_array(n)?) + } else { + None + }; + let pattern_array: Option> = pattern_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; + let group_array: Option> = group_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; // After coerce_types(Int64) the array may arrive as Int32 in some plans; // accept either by widening on read. let max_match_array_i32: Option<&Int32Array> = max_match_arr_ref @@ -138,7 +155,9 @@ impl ScalarUDFImpl for RexExtractMultiUdf { let value_builder = StringBuilder::new(); let mut builder = ListBuilder::new(value_builder).with_field(Arc::new(Field::new( - "item", DataType::Utf8, true, + "item", + DataType::Utf8, + true, ))); for i in 0..n { @@ -148,7 +167,10 @@ impl ScalarUDFImpl for RexExtractMultiUdf { }; let regex_owned; - let regex: &Regex = match (&scalar_regex, pattern_array.as_ref().and_then(|a| a.cell(i))) { + let regex: &Regex = match ( + &scalar_regex, + pattern_array.as_ref().and_then(|a| a.cell(i)), + ) { (Some(r), _) => r, (None, Some(s)) => { regex_owned = compile_pattern(s)?; @@ -160,14 +182,15 @@ impl ScalarUDFImpl for RexExtractMultiUdf { } }; - let group_name: &str = match (&group_scalar, group_array.as_ref().and_then(|a| a.cell(i))) { - (Some(g), _) => g.as_str(), - (None, Some(s)) => s, - _ => { - builder.append_null(); - continue; - } - }; + let group_name: &str = + match (&group_scalar, group_array.as_ref().and_then(|a| a.cell(i))) { + (Some(g), _) => g.as_str(), + (None, Some(s)) => s, + _ => { + builder.append_null(); + continue; + } + }; let max_match: i64 = match (max_match_scalar, max_match_array_i32) { (Some(m), _) => m, diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_offset.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_offset.rs index cea282b54a25e..379ded9627d6a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_offset.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/rex_offset.rs @@ -44,8 +44,8 @@ use datafusion::logical_expr::{ }; use regex::Regex; -use super::{coerce_args, CoerceMode}; use super::rex_extract::compile_pattern; +use super::{coerce_args, CoerceMode}; pub fn register_all(ctx: &SessionContext) { ctx.register_udf(ScalarUDF::from(RexOffsetUdf::new())); @@ -108,13 +108,16 @@ impl ScalarUDFImpl for RexOffsetUdf { let input_arr = args.args[0].clone().into_array(n)?; let input = StringArrayView::from_array(&input_arr)?; - let pattern_arr_ref: Option = if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { - Some(args.args[1].clone().into_array(n)?) - } else { - None - }; - let pattern_array: Option> = - pattern_arr_ref.as_ref().map(StringArrayView::from_array).transpose()?; + let pattern_arr_ref: Option = + if pattern_scalar.is_none() && matches!(&args.args[1], ColumnarValue::Array(_)) { + Some(args.args[1].clone().into_array(n)?) + } else { + None + }; + let pattern_array: Option> = pattern_arr_ref + .as_ref() + .map(StringArrayView::from_array) + .transpose()?; let mut builder = StringBuilder::with_capacity(n, n * 32); for i in 0..n { @@ -123,7 +126,10 @@ impl ScalarUDFImpl for RexOffsetUdf { continue; }; let regex_owned; - let regex: &Regex = match (&scalar_regex, pattern_array.as_ref().and_then(|a| a.cell(i))) { + let regex: &Regex = match ( + &scalar_regex, + pattern_array.as_ref().and_then(|a| a.cell(i)), + ) { (Some(r), _) => r, (None, Some(s)) => { regex_owned = compile_pattern(s)?; @@ -229,7 +235,10 @@ mod tests { // Java calls `matcher.find()` once, then walks named groups within // that single match. Subsequent matches don't contribute. let r = compile_pattern("(?\\d+)").unwrap(); - assert_eq!(calculate_offsets(&r, "12 then 34"), Some("n=0-1".to_string())); + assert_eq!( + calculate_offsets(&r, "12 then 34"), + Some("n=0-1".to_string()) + ); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/sha1.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/sha1.rs index 9dc4fcef7a4ea..807f099ea67f0 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/sha1.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/sha1.rs @@ -21,7 +21,8 @@ use datafusion::arrow::datatypes::DataType; use datafusion::common::{exec_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; use datafusion::logical_expr::{ - ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, Volatility, + ColumnarValue, ScalarFunctionArgs, ScalarUDF, ScalarUDFImpl, Signature, TypeSignature, + Volatility, }; use sha1::{Digest, Sha1}; @@ -177,11 +178,7 @@ mod tests { fn array_input_preserves_null_mask() { let u = udf(); let return_field = Arc::new(Field::new(u.name(), DataType::Utf8, true)); - let values: ArrayRef = Arc::new(StringArray::from(vec![ - Some("abc"), - None, - Some(""), - ])); + let values: ArrayRef = Arc::new(StringArray::from(vec![Some("abc"), None, Some("")])); let args = ScalarFunctionArgs { args: vec![ColumnarValue::Array(values)], arg_fields: vec![Arc::new(Field::new("v", DataType::Utf8, true))], diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/span_bucket.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/span_bucket.rs index 16d60afa1f7d5..b93cce5947203 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/span_bucket.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/span_bucket.rs @@ -29,9 +29,7 @@ use std::sync::Arc; -use datafusion::arrow::array::{ - Array, ArrayRef, Float64Array, StringBuilder, -}; +use datafusion::arrow::array::{Array, ArrayRef, Float64Array, StringBuilder}; use datafusion::arrow::datatypes::DataType; use datafusion::common::plan_err; use datafusion::error::{DataFusionError, Result}; @@ -154,10 +152,7 @@ fn format_range(bin_start: f64, bin_end: f64, span: f64) -> String { format!("{}-{}", bin_start as i64, bin_end as i64) } else { let decimals = decimal_places_for(span); - format!( - "{:.*}-{:.*}", - decimals, bin_start, decimals, bin_end - ) + format!("{:.*}-{:.*}", decimals, bin_start, decimals, bin_end) } } @@ -307,10 +302,18 @@ mod tests { config_options: Arc::new(Default::default()), }; let out = udf.invoke_with_args(args).unwrap(); - let ColumnarValue::Array(a) = out else { panic!("expected array") }; + let ColumnarValue::Array(a) = out else { + panic!("expected array") + }; let s = a.as_string::(); (0..n) - .map(|i| if s.is_null(i) { None } else { Some(s.value(i).to_string()) }) + .map(|i| { + if s.is_null(i) { + None + } else { + Some(s.value(i).to_string()) + } + }) .collect() } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/str_to_date.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/str_to_date.rs index 0ad29959173a3..e5703f1731b0d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/str_to_date.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/str_to_date.rs @@ -140,9 +140,17 @@ mod tests { fn parses_well_formed_inputs() { // (input, format, expected micros). Date-only defaults 00:00:00. for (i, f, want) in [ - ("2020-03-15 10:30:45", "%Y-%m-%d %H:%i:%S", 1_584_268_245_000_000_i64), + ( + "2020-03-15 10:30:45", + "%Y-%m-%d %H:%i:%S", + 1_584_268_245_000_000_i64, + ), ("2020-03-15", "%Y-%m-%d", 1_584_230_400_000_000), - ("2020-03-15 10:30:45.123456", "%Y-%m-%d %H:%i:%S.%f", 1_584_268_245_123_456), + ( + "2020-03-15 10:30:45.123456", + "%Y-%m-%d %H:%i:%S.%f", + 1_584_268_245_123_456, + ), ] { assert_eq!(parse_to_micros(i, f), Some(want), "input={i}"); } @@ -164,7 +172,10 @@ mod tests { .unwrap() .and_utc() .timestamp_micros(); - assert_eq!(parse_to_micros("2017-10-23", "%Y-%m-%d %h:%i:%s"), Some(want)); + assert_eq!( + parse_to_micros("2017-10-23", "%Y-%m-%d %h:%i:%s"), + Some(want) + ); } #[test] @@ -175,7 +186,10 @@ mod tests { .unwrap() .and_utc() .timestamp_micros(); - assert_eq!(parse_to_micros("2017-10-23 00:00:00", "%Y-%m-%d %h:%i:%s"), Some(want)); + assert_eq!( + parse_to_micros("2017-10-23 00:00:00", "%Y-%m-%d %h:%i:%s"), + Some(want) + ); } #[test] @@ -186,6 +200,9 @@ mod tests { .unwrap() .and_utc() .timestamp_micros(); - assert_eq!(parse_to_micros("23-Oct-17 00:00:00", "%d-%b-%y %h:%i:%s"), Some(want)); + assert_eq!( + parse_to_micros("23-Oct-17 00:00:00", "%d-%b-%y %h:%i:%s"), + Some(want) + ); } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/strftime.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/strftime.rs index 1091faf4024cf..b9901bf5cfe1f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/strftime.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/strftime.rs @@ -11,9 +11,7 @@ use std::sync::Arc; use chrono::{DateTime, Datelike, NaiveDate, TimeZone, Timelike, Utc, Weekday}; -use datafusion::arrow::array::{ - Array, ArrayRef, AsArray, StringArray, TimestampMicrosecondArray, -}; +use datafusion::arrow::array::{Array, ArrayRef, AsArray, StringArray, TimestampMicrosecondArray}; use datafusion::arrow::datatypes::{DataType, TimeUnit}; use datafusion::common::{exec_err, plan_err, Result, ScalarValue}; use datafusion::execution::context::SessionContext; @@ -74,7 +72,11 @@ impl ScalarUDFImpl for StrftimeUdf { DataType::Timestamp(_, _) | DataType::Date32 | DataType::Date64 => { DataType::Timestamp(TimeUnit::Microsecond, None) } - other => return plan_err!("strftime: arg 0 expected numeric/timestamp/date/string, got {other:?}"), + other => { + return plan_err!( + "strftime: arg 0 expected numeric/timestamp/date/string, got {other:?}" + ) + } }; let format = match &arg_types[1] { t @ (DataType::Utf8 | DataType::LargeUtf8 | DataType::Utf8View) => t.clone(), @@ -113,12 +115,17 @@ impl ScalarUDFImpl for StrftimeUdf { let format_array = args.args[1].clone().into_array(n)?; let out: StringArray = match value_array.data_type() { DataType::Float64 => { - let values = value_array.as_primitive::(); + let values = + value_array.as_primitive::(); (0..n) - .map(|i| if values.is_null(i) { None } else { - match format_at(&format_array, i) { - Ok(Some(f)) => render_from_seconds(values.value(i), Some(&f)), - _ => None, + .map(|i| { + if values.is_null(i) { + None + } else { + match format_at(&format_array, i) { + Ok(Some(f)) => render_from_seconds(values.value(i), Some(&f)), + _ => None, + } } }) .collect() @@ -129,15 +136,23 @@ impl ScalarUDFImpl for StrftimeUdf { .downcast_ref::() .expect("coerce_types canonicalizes to TimestampMicrosecond"); (0..n) - .map(|i| if values.is_null(i) { None } else { - match format_at(&format_array, i) { - Ok(Some(f)) => render_from_micros(values.value(i), Some(&f)), - _ => None, + .map(|i| { + if values.is_null(i) { + None + } else { + match format_at(&format_array, i) { + Ok(Some(f)) => render_from_micros(values.value(i), Some(&f)), + _ => None, + } } }) .collect() } - other => return exec_err!("strftime: unsupported value array type after coercion: {other:?}"), + other => { + return exec_err!( + "strftime: unsupported value array type after coercion: {other:?}" + ) + } }; Ok(ColumnarValue::Array(Arc::new(out) as ArrayRef)) } @@ -275,16 +290,34 @@ fn format_with_directives(dt: DateTime, format: &str) -> String { fn append_simple_directive(out: &mut String, dt: DateTime, directive: u8) -> bool { let h12 = { let h = dt.hour() % 12; - if h == 0 { 12 } else { h } + if h == 0 { + 12 + } else { + h + } }; match directive { b'%' => out.push('%'), - b'c' => out.push_str(&format!("{} {} {:02} {:02}:{:02}:{:02} {:04}", - weekday_short(dt.weekday()), month_short(dt.month()), - dt.day(), dt.hour(), dt.minute(), dt.second(), dt.year())), - b'+' => out.push_str(&format!("{} {} {:02} {:02}:{:02}:{:02} UTC {:04}", - weekday_short(dt.weekday()), month_short(dt.month()), - dt.day(), dt.hour(), dt.minute(), dt.second(), dt.year())), + b'c' => out.push_str(&format!( + "{} {} {:02} {:02}:{:02}:{:02} {:04}", + weekday_short(dt.weekday()), + month_short(dt.month()), + dt.day(), + dt.hour(), + dt.minute(), + dt.second(), + dt.year() + )), + b'+' => out.push_str(&format!( + "{} {} {:02} {:02}:{:02}:{:02} UTC {:04}", + weekday_short(dt.weekday()), + month_short(dt.month()), + dt.day(), + dt.hour(), + dt.minute(), + dt.second(), + dt.year() + )), b'f' => out.push_str(&format!("{:06}", dt.nanosecond() / 1000)), b'H' => out.push_str(&format!("{:02}", dt.hour())), b'I' => out.push_str(&format!("{:02}", h12)), @@ -293,11 +326,26 @@ fn append_simple_directive(out: &mut String, dt: DateTime, directive: u8) - b'p' => out.push_str(if dt.hour() < 12 { "AM" } else { "PM" }), b'S' => out.push_str(&format!("{:02}", dt.second())), b's' => out.push_str(&dt.timestamp().to_string()), - b'T' | b'X' => out.push_str(&format!("{:02}:{:02}:{:02}", dt.hour(), dt.minute(), dt.second())), + b'T' | b'X' => out.push_str(&format!( + "{:02}:{:02}:{:02}", + dt.hour(), + dt.minute(), + dt.second() + )), b'Z' => out.push_str("UTC"), b'z' => out.push_str("+0000"), - b'F' => out.push_str(&format!("{:04}-{:02}-{:02}", dt.year(), dt.month(), dt.day())), - b'x' => out.push_str(&format!("{:02}/{:02}/{:04}", dt.month(), dt.day(), dt.year())), + b'F' => out.push_str(&format!( + "{:04}-{:02}-{:02}", + dt.year(), + dt.month(), + dt.day() + )), + b'x' => out.push_str(&format!( + "{:02}/{:02}/{:04}", + dt.month(), + dt.day(), + dt.year() + )), b'A' => out.push_str(weekday_full(dt.weekday())), b'a' => out.push_str(weekday_short(dt.weekday())), b'w' => out.push_str(&weekday_numeric_sunday_zero(dt.weekday()).to_string()), @@ -351,47 +399,91 @@ fn append_subsecond(out: &mut String, dt: DateTime, kind: u8, precision: us fn weekday_short(w: Weekday) -> &'static str { match w { - Weekday::Mon => "Mon", Weekday::Tue => "Tue", Weekday::Wed => "Wed", - Weekday::Thu => "Thu", Weekday::Fri => "Fri", Weekday::Sat => "Sat", Weekday::Sun => "Sun", + Weekday::Mon => "Mon", + Weekday::Tue => "Tue", + Weekday::Wed => "Wed", + Weekday::Thu => "Thu", + Weekday::Fri => "Fri", + Weekday::Sat => "Sat", + Weekday::Sun => "Sun", } } fn weekday_full(w: Weekday) -> &'static str { match w { - Weekday::Mon => "Monday", Weekday::Tue => "Tuesday", Weekday::Wed => "Wednesday", - Weekday::Thu => "Thursday", Weekday::Fri => "Friday", - Weekday::Sat => "Saturday", Weekday::Sun => "Sunday", + Weekday::Mon => "Monday", + Weekday::Tue => "Tuesday", + Weekday::Wed => "Wednesday", + Weekday::Thu => "Thursday", + Weekday::Fri => "Friday", + Weekday::Sat => "Saturday", + Weekday::Sun => "Sunday", } } fn weekday_numeric_sunday_zero(w: Weekday) -> u32 { match w { - Weekday::Sun => 0, Weekday::Mon => 1, Weekday::Tue => 2, Weekday::Wed => 3, - Weekday::Thu => 4, Weekday::Fri => 5, Weekday::Sat => 6, + Weekday::Sun => 0, + Weekday::Mon => 1, + Weekday::Tue => 2, + Weekday::Wed => 3, + Weekday::Thu => 4, + Weekday::Fri => 5, + Weekday::Sat => 6, } } fn month_short(m: u32) -> &'static str { - ["", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"] - .get(m as usize).copied().unwrap_or("") + [ + "", "Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec", + ] + .get(m as usize) + .copied() + .unwrap_or("") } fn month_full(m: u32) -> &'static str { - ["", "January", "February", "March", "April", "May", "June", - "July", "August", "September", "October", "November", "December"] - .get(m as usize).copied().unwrap_or("") + [ + "", + "January", + "February", + "March", + "April", + "May", + "June", + "July", + "August", + "September", + "October", + "November", + "December", + ] + .get(m as usize) + .copied() + .unwrap_or("") } /// `%U` — week of year, Sunday-start; week 0 is the partial week before the /// first Sunday of the year (matches `WeekFields.SUNDAY_START.weekOfYear() - 1`). fn week_of_year_sunday_start(dt: DateTime) -> u32 { let doy = dt.ordinal(); - let jan1 = NaiveDate::from_ymd_opt(dt.year(), 1, 1).expect("valid jan 1").weekday(); + let jan1 = NaiveDate::from_ymd_opt(dt.year(), 1, 1) + .expect("valid jan 1") + .weekday(); let days_to_first_sunday = match jan1 { - Weekday::Sun => 1, Weekday::Mon => 7, Weekday::Tue => 6, Weekday::Wed => 5, - Weekday::Thu => 4, Weekday::Fri => 3, Weekday::Sat => 2, + Weekday::Sun => 1, + Weekday::Mon => 7, + Weekday::Tue => 6, + Weekday::Wed => 5, + Weekday::Thu => 4, + Weekday::Fri => 3, + Weekday::Sat => 2, }; - if doy < days_to_first_sunday { 0 } else { (doy - days_to_first_sunday) / 7 + 1 } + if doy < days_to_first_sunday { + 0 + } else { + (doy - days_to_first_sunday) / 7 + 1 + } } #[cfg(test)] @@ -436,7 +528,10 @@ mod tests { utf8_scalar( invoke( args, - &[DataType::Timestamp(TimeUnit::Microsecond, None), DataType::Utf8], + &[ + DataType::Timestamp(TimeUnit::Microsecond, None), + DataType::Utf8, + ], 1, ) .unwrap(), @@ -460,7 +555,10 @@ mod tests { #[test] fn integer_seconds_ymd_hms() { - assert_eq!(call_f64(1521467703.0, "%Y-%m-%d %H:%M:%S").unwrap(), "2018-03-19 13:55:03"); + assert_eq!( + call_f64(1521467703.0, "%Y-%m-%d %H:%M:%S").unwrap(), + "2018-03-19 13:55:03" + ); } #[test] @@ -473,7 +571,10 @@ mod tests { #[test] fn negative_epoch_rendering() { - assert_eq!(call_f64(-1.0, "%Y-%m-%d %H:%M:%S").unwrap(), "1969-12-31 23:59:59"); + assert_eq!( + call_f64(-1.0, "%Y-%m-%d %H:%M:%S").unwrap(), + "1969-12-31 23:59:59" + ); assert_eq!(call_f64(-86400.0, "%Y-%m-%d").unwrap(), "1969-12-31"); assert_eq!(call_f64(-31_536_000.0, "%Y-%m-%d").unwrap(), "1969-01-01"); assert_eq!(call_f64(-946_771_200.0, "%Y-%m-%d").unwrap(), "1940-01-01"); @@ -481,8 +582,14 @@ mod tests { #[test] fn timestamp_micros_renders_date_and_time() { - assert_eq!(call_ts_us(1_521_467_703_000_000, "%F").unwrap(), "2018-03-19"); - assert_eq!(call_ts_us(1_521_467_703_000_000, "%H:%M:%S").unwrap(), "13:55:03"); + assert_eq!( + call_ts_us(1_521_467_703_000_000, "%F").unwrap(), + "2018-03-19" + ); + assert_eq!( + call_ts_us(1_521_467_703_000_000, "%H:%M:%S").unwrap(), + "13:55:03" + ); } #[test] @@ -559,7 +666,11 @@ mod tests { #[test] fn array_f64_with_scalar_format() { - let arr: ArrayRef = Arc::new(Float64Array::from(vec![Some(1521467703.0), None, Some(-86400.0)])); + let arr: ArrayRef = Arc::new(Float64Array::from(vec![ + Some(1521467703.0), + None, + Some(-86400.0), + ])); let u = udf(); let args = ScalarFunctionArgs { args: vec![ @@ -575,7 +686,9 @@ mod tests { config_options: Arc::new(Default::default()), }; let out = u.invoke_with_args(args).unwrap(); - let ColumnarValue::Array(a) = out else { panic!("expected array"); }; + let ColumnarValue::Array(a) = out else { + panic!("expected array"); + }; let s = a.as_string::(); assert_eq!(s.value(0), "2018-03-19"); assert!(s.is_null(1)); @@ -586,20 +699,37 @@ mod tests { fn coerce_types_folds_inputs() { let u = udf(); // Numeric + string fold onto Float64. - for t in [DataType::Int64, DataType::Int32, DataType::UInt8, DataType::Float32, DataType::Utf8] { - assert_eq!(u.coerce_types(&[t.clone(), DataType::Utf8]).unwrap()[0], DataType::Float64, "{t:?}"); + for t in [ + DataType::Int64, + DataType::Int32, + DataType::UInt8, + DataType::Float32, + DataType::Utf8, + ] { + assert_eq!( + u.coerce_types(&[t.clone(), DataType::Utf8]).unwrap()[0], + DataType::Float64, + "{t:?}" + ); } // Temporal types fold onto Timestamp(us). let canonical = DataType::Timestamp(TimeUnit::Microsecond, None); for t in [ - DataType::Date32, DataType::Date64, + DataType::Date32, + DataType::Date64, DataType::Timestamp(TimeUnit::Millisecond, None), DataType::Timestamp(TimeUnit::Nanosecond, Some("UTC".into())), ] { - assert_eq!(u.coerce_types(&[t.clone(), DataType::Utf8]).unwrap()[0], canonical, "{t:?}"); + assert_eq!( + u.coerce_types(&[t.clone(), DataType::Utf8]).unwrap()[0], + canonical, + "{t:?}" + ); } // Non-numeric / non-temporal rejected. - let err = u.coerce_types(&[DataType::Boolean, DataType::Utf8]).unwrap_err(); + let err = u + .coerce_types(&[DataType::Boolean, DataType::Utf8]) + .unwrap_err(); assert!(err.to_string().contains("expected numeric/timestamp")); // Int64 shape sanity — exercised by the array test above. let _arr: ArrayRef = Arc::new(Int64Array::from(vec![Some(1521467703i64)])); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/time_format.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/time_format.rs index a149fd807bf98..d7a05b6e564f0 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/time_format.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/time_format.rs @@ -11,7 +11,6 @@ //! (%d→"00", %Y→"0000"); date-only name tokens (%W, %a, %M, %D, %j, %w, %U/%u, //! %V/%v, %X/%x, %b) cause the whole render to collapse to NULL. - use super::udf_identity; use datafusion::arrow::datatypes::{DataType, TimeUnit}; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/width_bucket.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/width_bucket.rs index b341aa1355880..7479a8ab2aeae 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/width_bucket.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udf/width_bucket.rs @@ -30,9 +30,7 @@ use std::sync::Arc; -use datafusion::arrow::array::{ - Array, ArrayRef, Float64Array, Int64Array, StringBuilder, -}; +use datafusion::arrow::array::{Array, ArrayRef, Float64Array, Int64Array, StringBuilder}; use datafusion::arrow::datatypes::DataType; use datafusion::common::plan_err; use datafusion::error::{DataFusionError, Result}; @@ -120,7 +118,12 @@ impl ScalarUDFImpl for WidthBucketUdf { builder.append_null(); continue; } - match calculate(value.value(i), num_bins.value(i), range.value(i), max_value.value(i)) { + match calculate( + value.value(i), + num_bins.value(i), + range.value(i), + max_value.value(i), + ) { Some(s) => builder.append_value(&s), None => builder.append_null(), } @@ -358,10 +361,18 @@ mod tests { config_options: Arc::new(Default::default()), }; let out = udf.invoke_with_args(args).unwrap(); - let ColumnarValue::Array(a) = out else { panic!("expected array") }; + let ColumnarValue::Array(a) = out else { + panic!("expected array") + }; let s = a.as_string::(); (0..n) - .map(|i| if s.is_null(i) { None } else { Some(s.value(i).to_string()) }) + .map(|i| { + if s.is_null(i) { + None + } else { + Some(s.value(i).to_string()) + } + }) .collect() } @@ -416,14 +427,21 @@ mod tests { fn coerce_types_rejects_string_in_value_slot() { let udf = WidthBucketUdf::new(); assert!(udf - .coerce_types(&[DataType::Utf8, DataType::Int64, DataType::Float64, DataType::Float64]) + .coerce_types(&[ + DataType::Utf8, + DataType::Int64, + DataType::Float64, + DataType::Float64 + ]) .is_err()); } #[test] fn coerce_types_rejects_wrong_arity() { let udf = WidthBucketUdf::new(); - assert!(udf.coerce_types(&[DataType::Int64, DataType::Int64, DataType::Int64]).is_err()); + assert!(udf + .coerce_types(&[DataType::Int64, DataType::Int64, DataType::Int64]) + .is_err()); } #[test] diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/udwf/internal_pattern.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/udwf/internal_pattern.rs index 20cb6031bc68a..41886987995b0 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/udwf/internal_pattern.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/udwf/internal_pattern.rs @@ -22,7 +22,6 @@ //! resulting {@code array_element(map_extract(...), 1)} chain to one of the //! per-field scalar UDFs. - use datafusion::arrow::array::{ArrayRef, AsArray, StringArray, StringBuilder}; use datafusion::arrow::datatypes::{DataType, Field, FieldRef}; use datafusion::common::Result; @@ -123,7 +122,10 @@ impl PartitionEvaluator for InternalPatternEvaluator { fn evaluate_all(&mut self, values: &[ArrayRef], num_rows: usize) -> Result { if values.is_empty() { - return Ok(std::sync::Arc::new(StringArray::from(vec![None::<&str>; num_rows]))); + return Ok(std::sync::Arc::new(StringArray::from(vec![ + None::<&str>; + num_rows + ]))); } let cfg = WindowConfig::from_args(values); @@ -135,10 +137,8 @@ impl PartitionEvaluator for InternalPatternEvaluator { } // Run BRAIN over the corpus once. - let mut parser = BrainLogParser::with_thresholds( - cfg.variable_count_threshold, - cfg.threshold_percentage, - ); + let mut parser = + BrainLogParser::with_thresholds(cfg.variable_count_threshold, cfg.threshold_percentage); let stats = parser.parse_all_log_patterns(&messages, cfg.max_sample_count); let candidates: Vec = stats .values() @@ -225,10 +225,16 @@ fn read_string_at(arr: &ArrayRef, i: usize) -> Option { if let Some(s) = arr.as_any().downcast_ref::() { return Some(s.value(i).to_string()); } - if let Some(s) = arr.as_any().downcast_ref::() { + if let Some(s) = arr + .as_any() + .downcast_ref::() + { return Some(s.value(i).to_string()); } - if let Some(s) = arr.as_any().downcast_ref::() { + if let Some(s) = arr + .as_any() + .downcast_ref::() + { return Some(s.value(i).to_string()); } None @@ -241,10 +247,22 @@ fn read_i64_at(arr: &ArrayRef, i: usize) -> Option { } let dt = arr.data_type(); match dt { - DataType::Int64 => arr.as_any().downcast_ref::().map(|a| a.value(i)), - DataType::Int32 => arr.as_any().downcast_ref::().map(|a| a.value(i) as i64), - DataType::Int16 => arr.as_any().downcast_ref::().map(|a| a.value(i) as i64), - DataType::Int8 => arr.as_any().downcast_ref::().map(|a| a.value(i) as i64), + DataType::Int64 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i)), + DataType::Int32 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i) as i64), + DataType::Int16 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i) as i64), + DataType::Int8 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i) as i64), _ => None, } } @@ -256,8 +274,14 @@ fn read_f64_at(arr: &ArrayRef, i: usize) -> Option { } let dt = arr.data_type(); match dt { - DataType::Float64 => arr.as_any().downcast_ref::().map(|a| a.value(i)), - DataType::Float32 => arr.as_any().downcast_ref::().map(|a| a.value(i) as f64), + DataType::Float64 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i)), + DataType::Float32 => arr + .as_any() + .downcast_ref::() + .map(|a| a.value(i) as f64), _ => None, } } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/tests/budget_accuracy_test.rs b/sandbox/plugins/analytics-backend-datafusion/rust/tests/budget_accuracy_test.rs index d9f5119f774dd..c503a40994ebe 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/tests/budget_accuracy_test.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/tests/budget_accuracy_test.rs @@ -23,11 +23,13 @@ use std::sync::Arc; use arrow::datatypes::{DataType, Field, Schema}; use arrow_array::{Float64Array, Int64Array, RecordBatch, StringArray}; use datafusion::common::DataFusionError; -use datafusion::datasource::listing::{ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl}; use datafusion::datasource::file_format::parquet::ParquetFormat; +use datafusion::datasource::listing::{ + ListingOptions, ListingTable, ListingTableConfig, ListingTableUrl, +}; +use datafusion::execution::context::SessionContext; use datafusion::execution::memory_pool::GreedyMemoryPool; use datafusion::execution::runtime_env::RuntimeEnvBuilder; -use datafusion::execution::context::SessionContext; use datafusion::execution::SessionStateBuilder; use datafusion::physical_plan::{execute_stream_partitioned, ExecutionPlan}; use datafusion::prelude::*; @@ -39,7 +41,9 @@ use prost::Message; use substrait::proto::Plan; use tempfile::TempDir; -use opensearch_datafusion::query_budget::{estimate_avg_row_bytes, acquire_budget, acquire_budget_from_metadata}; +use opensearch_datafusion::query_budget::{ + acquire_budget, acquire_budget_from_metadata, estimate_avg_row_bytes, +}; /// Create parquet test data with a known schema. fn create_parquet_data(dir: &std::path::Path, num_rows: usize, num_files: usize) -> Arc { @@ -166,7 +170,15 @@ async fn validate_budget_accuracy_relaxed( batch_size: usize, max_over_estimate_ratio: f64, ) { - validate_budget_accuracy_inner(dir, schema, sql, target_partitions, batch_size, max_over_estimate_ratio).await; + validate_budget_accuracy_inner( + dir, + schema, + sql, + target_partitions, + batch_size, + max_over_estimate_ratio, + ) + .await; } /// Core validation: run a query, measure actual memory per batch, compare to formula. @@ -224,7 +236,10 @@ async fn validate_budget_accuracy_inner( let dataframe = ctx.execute_logical_plan(logical_plan).await.unwrap(); let physical_plan = dataframe.create_physical_plan().await.unwrap(); - let actual_partitions = physical_plan.properties().output_partitioning().partition_count(); + let actual_partitions = physical_plan + .properties() + .output_partitioning() + .partition_count(); let (actual_total_bytes, actual_rows, actual_batches) = measure_actual_bytes(physical_plan, ctx.task_ctx()).await; @@ -242,7 +257,8 @@ async fn validate_budget_accuracy_inner( // Formula prediction let predicted_avg_row_bytes = estimate_avg_row_bytes(schema); - let pool = Arc::new(GreedyMemoryPool::new(1_000_000_000)) as Arc; + let pool = Arc::new(GreedyMemoryPool::new(1_000_000_000)) + as Arc; let budget = acquire_budget(&pool, schema, target_partitions, batch_size).unwrap(); // The formula's "untracked per batch" = batch_size × predicted_avg_row_bytes @@ -250,25 +266,77 @@ async fn validate_budget_accuracy_inner( println!("┌─────────────────────────────────────────────────────────────────┐"); println!("│ Query: {:<56} │", sql); - println!("│ target_partitions={}, batch_size={:<30} │", target_partitions, batch_size); + println!( + "│ target_partitions={}, batch_size={:<30} │", + target_partitions, batch_size + ); println!("├────────────────── ACTUAL (measured) ────────────────────────────┤"); - println!("│ Total bytes emitted: {:<38} │", format!("{} ({:.1} MB)", actual_total_bytes, actual_total_bytes as f64 / 1048576.0)); + println!( + "│ Total bytes emitted: {:<38} │", + format!( + "{} ({:.1} MB)", + actual_total_bytes, + actual_total_bytes as f64 / 1048576.0 + ) + ); println!("│ Total rows: {:<38} │", actual_rows); println!("│ Total batches: {:<38} │", actual_batches); println!("│ Actual partitions used: {:<38} │", actual_partitions); - println!("│ Avg batch bytes: {:<38} │", format!("{} ({:.1} KB)", avg_batch_bytes, avg_batch_bytes as f64 / 1024.0)); + println!( + "│ Avg batch bytes: {:<38} │", + format!( + "{} ({:.1} KB)", + avg_batch_bytes, + avg_batch_bytes as f64 / 1024.0 + ) + ); println!("│ Actual avg row bytes: {:<38} │", actual_avg_row_bytes); println!("├────────────────── PREDICTED (formula) ──────────────────────────┤"); - println!("│ Predicted avg row bytes: {:<38} │", predicted_avg_row_bytes); - println!("│ Predicted batch bytes: {:<38} │", format!("{} ({:.1} KB)", predicted_batch_bytes, predicted_batch_bytes as f64 / 1024.0)); - println!("│ Phantom reservation: {:<38} │", format!("{} ({:.1} MB)", budget.phantom_bytes, budget.phantom_bytes as f64 / 1048576.0)); + println!( + "│ Predicted avg row bytes: {:<38} │", + predicted_avg_row_bytes + ); + println!( + "│ Predicted batch bytes: {:<38} │", + format!( + "{} ({:.1} KB)", + predicted_batch_bytes, + predicted_batch_bytes as f64 / 1024.0 + ) + ); + println!( + "│ Phantom reservation: {:<38} │", + format!( + "{} ({:.1} MB)", + budget.phantom_bytes, + budget.phantom_bytes as f64 / 1048576.0 + ) + ); println!("├────────────────── VALIDATION ───────────────────────────────────┤"); let row_bytes_ratio = predicted_avg_row_bytes as f64 / actual_avg_row_bytes.max(1) as f64; let is_conservative = predicted_avg_row_bytes >= actual_avg_row_bytes; let within_threshold = row_bytes_ratio <= max_over_estimate_ratio; - println!("│ Row bytes ratio: {:<38} │", format!("{:.2}x (predicted/actual)", row_bytes_ratio)); - println!("│ Conservative (pred≥act): {:<38} │", if is_conservative { "YES ✓" } else { "NO ✗ — UNDER-ESTIMATE" }); - println!("│ Within {:.0}x (not wasteful):{:<37} │", max_over_estimate_ratio, if within_threshold { "YES ✓" } else { "NO ✗ — OVER-ESTIMATE" }); + println!( + "│ Row bytes ratio: {:<38} │", + format!("{:.2}x (predicted/actual)", row_bytes_ratio) + ); + println!( + "│ Conservative (pred≥act): {:<38} │", + if is_conservative { + "YES ✓" + } else { + "NO ✗ — UNDER-ESTIMATE" + } + ); + println!( + "│ Within {:.0}x (not wasteful):{:<37} │", + max_over_estimate_ratio, + if within_threshold { + "YES ✓" + } else { + "NO ✗ — OVER-ESTIMATE" + } + ); println!("└─────────────────────────────────────────────────────────────────┘"); println!(); @@ -287,7 +355,9 @@ async fn validate_budget_accuracy_inner( within_threshold || actual_avg_row_bytes == 0, "Budget OVER-estimated by more than {:.0}x: predicted={}, actual={}. \ This wastes pool capacity and forces unnecessary spilling.", - max_over_estimate_ratio, predicted_avg_row_bytes, actual_avg_row_bytes + max_over_estimate_ratio, + predicted_avg_row_bytes, + actual_avg_row_bytes ); } @@ -314,7 +384,8 @@ async fn budget_accuracy_narrow_schema_projection() { // is still conservative (≥ actual) even for narrow projections — it just // over-estimates. We relax the 3x threshold for projections since the formula // intentionally budgets for scan-level buffers at full schema width. - validate_budget_accuracy_relaxed(&dir, &schema, "SELECT id, metric FROM t", 4, 8192, 15.0).await; + validate_budget_accuracy_relaxed(&dir, &schema, "SELECT id, metric FROM t", 4, 8192, 15.0) + .await; } #[tokio::test] @@ -387,7 +458,8 @@ async fn budget_accuracy_metadata_based_is_tighter() { .filter_map(|e| e.ok()) .find(|e| e.path().extension().map_or(false, |ext| ext == "parquet")) .unwrap(); - let reader = SerializedFileReader::new(std::fs::File::open(first_file.path()).unwrap()).unwrap(); + let reader = + SerializedFileReader::new(std::fs::File::open(first_file.path()).unwrap()).unwrap(); let metadata = reader.metadata().clone(); let pool = Arc::new(GreedyMemoryPool::new(1_000_000_000)) @@ -399,8 +471,7 @@ async fn budget_accuracy_metadata_based_is_tighter() { drop(static_budget); // Metadata-based estimate (measured from parquet column sizes) - let meta_budget = - acquire_budget_from_metadata(&pool, &schema, &metadata, 4, 8192).unwrap(); + let meta_budget = acquire_budget_from_metadata(&pool, &schema, &metadata, 4, 8192).unwrap(); let meta_phantom = meta_budget.phantom_bytes; drop(meta_budget); @@ -409,11 +480,19 @@ async fn budget_accuracy_metadata_based_is_tighter() { println!("├─────────────────────────────────────────────────────────────────┤"); println!( "│ Static phantom: {:<44} │", - format!("{} ({:.1} MB)", static_phantom, static_phantom as f64 / 1048576.0) + format!( + "{} ({:.1} MB)", + static_phantom, + static_phantom as f64 / 1048576.0 + ) ); println!( "│ Metadata phantom: {:<44} │", - format!("{} ({:.1} MB)", meta_phantom, meta_phantom as f64 / 1048576.0) + format!( + "{} ({:.1} MB)", + meta_phantom, + meta_phantom as f64 / 1048576.0 + ) ); let reduction_pct = (1.0 - meta_phantom as f64 / static_phantom as f64) * 100.0; println!( diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs b/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs index 44f8e157e06c2..0a23451ec6b65 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs @@ -86,7 +86,11 @@ impl Drop for RuntimeGuard { // --------------------------------------------------------------------------- fn utf8view_schema() -> SchemaRef { - Arc::new(Schema::new(vec![Field::new("s", DataType::Utf8View, false)])) + Arc::new(Schema::new(vec![Field::new( + "s", + DataType::Utf8View, + false, + )])) } /// Build a substrait plan for `SELECT * FROM "input-0"` with the given schema. @@ -200,7 +204,11 @@ fn test_stringview_gc_on_sliced_batch() { ); let batch = RecordBatch::try_new( - Arc::new(Schema::new(vec![Field::new("s", DataType::Utf8View, false)])), + Arc::new(Schema::new(vec![Field::new( + "s", + DataType::Utf8View, + false, + )])), vec![Arc::new(sliced)], ) .expect("batch from sliced array"); diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs index bc92fce244e32..02fdbccb4f8f2 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/ffm.rs @@ -8,10 +8,10 @@ //! FFM lifecycle entry points exported to Java. -use std::sync::Arc; -use native_bridge_common::ffm_safe; use crate::foyer::foyer_cache::FoyerCache; use crate::tiered_block_cache::TieredBlockCache; +use native_bridge_common::ffm_safe; +use std::sync::Arc; /// Create a [`FoyerCache`] and return an opaque `Box>` fat pointer as `i64`. /// @@ -58,8 +58,11 @@ pub unsafe extern "C" fn foyer_create_cache( let io_engine = if io_engine_ptr.is_null() { "auto" } else { - std::str::from_utf8(std::slice::from_raw_parts(io_engine_ptr, io_engine_len as usize)) - .unwrap_or("auto") + std::str::from_utf8(std::slice::from_raw_parts( + io_engine_ptr, + io_engine_len as usize, + )) + .unwrap_or("auto") }; let cache: Arc = Arc::new(FoyerCache::new( disk_bytes as usize, @@ -88,7 +91,9 @@ pub unsafe extern "C" fn foyer_destroy_cache(ptr: i64) -> i64 { if ptr <= 0 { return Err(format!("foyer_destroy_cache: invalid ptr {}", ptr)); } - drop(Box::from_raw(ptr as *mut Arc)); + drop(Box::from_raw( + ptr as *mut Arc, + )); Ok(0) } @@ -174,7 +179,9 @@ pub unsafe extern "C" fn foyer_clear_cache(ptr: i64) -> i64 { } else if let Some(tiered) = boxed.as_any().downcast_ref::() { tiered.clear_sync(); } else { - return Err("foyer_clear_cache: downcast to FoyerCache or TieredBlockCache failed".to_string()); + return Err( + "foyer_clear_cache: downcast to FoyerCache or TieredBlockCache failed".to_string(), + ); } native_bridge_common::log_info!("ffm: foyer_clear_cache completed"); Ok(0) @@ -237,7 +244,10 @@ pub unsafe extern "C" fn foyer_update_sweep_interval(ptr: i64, new_secs: u64) -> #[no_mangle] pub unsafe extern "C" fn foyer_update_persist_interval(ptr: i64, new_secs: u64) -> i64 { if ptr <= 0 { - return Err(format!("foyer_update_persist_interval: invalid ptr {}", ptr)); + return Err(format!( + "foyer_update_persist_interval: invalid ptr {}", + ptr + )); } let boxed = &*(ptr as *const Arc); if let Some(foyer) = boxed.as_any().downcast_ref::() { @@ -269,7 +279,8 @@ pub extern "C" fn foyer_evict_prefix(ptr: i64, prefix_ptr: *const u8, prefix_len } let prefix = unsafe { let bytes = std::slice::from_raw_parts(prefix_ptr, prefix_len as usize); - std::str::from_utf8(bytes).map_err(|e| format!("foyer_evict_prefix: invalid utf-8: {}", e))? + std::str::from_utf8(bytes) + .map_err(|e| format!("foyer_evict_prefix: invalid utf-8: {}", e))? }; let boxed = unsafe { &*(ptr as *const Arc) }; boxed.evict_prefix(prefix); @@ -318,22 +329,31 @@ pub unsafe extern "C" fn foyer_create_tiered_cache( if data_dir_ptr.is_null() { return Err("data_dir_ptr is null".to_string()); } - let data_dir = std::str::from_utf8(std::slice::from_raw_parts(data_dir_ptr, data_dir_len as usize)) - .map_err(|e| format!("invalid UTF-8 in data_dir path: {}", e))?; + let data_dir = std::str::from_utf8(std::slice::from_raw_parts( + data_dir_ptr, + data_dir_len as usize, + )) + .map_err(|e| format!("invalid UTF-8 in data_dir path: {}", e))?; // Parse metadata dir if meta_dir_ptr.is_null() { return Err("meta_dir_ptr is null".to_string()); } - let meta_dir = std::str::from_utf8(std::slice::from_raw_parts(meta_dir_ptr, meta_dir_len as usize)) - .map_err(|e| format!("invalid UTF-8 in meta_dir path: {}", e))?; + let meta_dir = std::str::from_utf8(std::slice::from_raw_parts( + meta_dir_ptr, + meta_dir_len as usize, + )) + .map_err(|e| format!("invalid UTF-8 in meta_dir path: {}", e))?; // Parse io_engine let io_engine = if io_engine_ptr.is_null() { "auto" } else { - std::str::from_utf8(std::slice::from_raw_parts(io_engine_ptr, io_engine_len as usize)) - .unwrap_or("auto") + std::str::from_utf8(std::slice::from_raw_parts( + io_engine_ptr, + io_engine_len as usize, + )) + .unwrap_or("auto") }; // Build data cache (default reinsertion = RejectAll) @@ -368,11 +388,13 @@ pub unsafe extern "C" fn foyer_create_tiered_cache( native_bridge_common::log_info!( "[tiered-block-cache] ffm: created tiered cache: data_dir={}, meta_dir={}, \ data_disk={}B, meta_disk={}B", - data_dir, meta_dir, data_disk_bytes, meta_disk_bytes + data_dir, + meta_dir, + data_disk_bytes, + meta_disk_bytes ); - let cache: Arc = Arc::new( - TieredBlockCache::new(data_cache, metadata_cache) - ); + let cache: Arc = + Arc::new(TieredBlockCache::new(data_cache, metadata_cache)); Ok(Box::into_raw(Box::new(cache)) as i64) } diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs index e2d01550c0465..25fdd8295c1d9 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/foyer_cache.rs @@ -8,22 +8,23 @@ //! [`FoyerCache`] — a [`BlockCache`] implementation backed by Foyer. +use bytes::Bytes; +use dashmap::DashMap; +#[cfg(target_os = "linux")] +use foyer::UringIoEngineConfig; +use foyer::{ + AdmitAll, BlockEngineConfig, DeviceBuilder, FsDeviceBuilder, HybridCache, HybridCacheBuilder, + IoEngineConfig, PsyncIoEngineConfig, RecoverMode, StorageFilter, +}; use std::collections::HashSet; use std::path::PathBuf; -use std::sync::Arc; use std::sync::atomic::{AtomicU64, AtomicUsize, Ordering}; +use std::sync::Arc; use std::time::{Duration, Instant}; -use bytes::Bytes; -use dashmap::DashMap; -use foyer::{AdmitAll, BlockEngineConfig, DeviceBuilder, FsDeviceBuilder, - HybridCache, HybridCacheBuilder, IoEngineConfig, PsyncIoEngineConfig, RecoverMode, - StorageFilter}; use tokio_util::sync::CancellationToken; -#[cfg(target_os = "linux")] -use foyer::UringIoEngineConfig; use crate::key_index_store; -use crate::range_cache::{CacheKey, SEPARATOR, key_byte_size}; +use crate::range_cache::{key_byte_size, CacheKey, SEPARATOR}; use crate::stats::FoyerStatsCounter; use crate::traits::BlockCache; @@ -70,7 +71,10 @@ fn build_io_engine_config(choice: &str) -> Box { } other => { if other != "auto" { - native_bridge_common::log_info!("[block-cache] unknown io_engine='{}'; falling back to auto-detect", other); + native_bridge_common::log_info!( + "[block-cache] unknown io_engine='{}'; falling back to auto-detect", + other + ); } // "auto" — detect by kernel version (existing logic) #[cfg(target_os = "linux")] @@ -231,16 +235,14 @@ impl Drop for FoyerCache { // Without close(), entries smaller than block_size are lost on restart. // Timeout prevents indefinite blocking if the flusher is stuck. let close_result = self._runtime.block_on(async { - tokio::time::timeout( - std::time::Duration::from_secs(30), - self.inner.close() - ).await + tokio::time::timeout(std::time::Duration::from_secs(30), self.inner.close()).await }); match close_result { Ok(Ok(())) => {} Ok(Err(e)) => { native_bridge_common::log_info!( - "[block-cache] HybridCache close FAILED on shutdown: {}", e + "[block-cache] HybridCache close FAILED on shutdown: {}", + e ); } Err(_) => { @@ -311,37 +313,36 @@ impl FoyerCache { let key_index: Arc>> = Arc::new(DashMap::new()); let stats = FoyerStatsCounter::new(); - let rt = tokio::runtime::Runtime::new() - .expect("[block-cache] failed to create Tokio runtime"); + let rt = + tokio::runtime::Runtime::new().expect("[block-cache] failed to create Tokio runtime"); // Clone disk_dir only for the async closure; the original is moved into cache_dir // after block_on returns. let dir_clone = disk_dir.clone(); let io_engine = io_engine.to_string(); - let io_engine_for_log = io_engine.clone(); // clone for use in log after the closure + let io_engine_for_log = io_engine.clone(); // clone for use in log after the closure let inner = rt.block_on(async move { let mut engine_config = BlockEngineConfig::new( FsDeviceBuilder::new(dir_clone) .with_capacity(disk_bytes) .build() - .expect("[block-cache] FsDevice build failed") + .expect("[block-cache] FsDevice build failed"), ) .with_block_size(block_size_bytes) .with_buffer_pool_size(buffer_pool_size_bytes) .with_submit_queue_size_threshold(submit_queue_size_threshold_bytes); if reinsertion_admit_all { - engine_config = engine_config.with_reinsertion_filter( - StorageFilter::new().with_condition(AdmitAll) - ); + engine_config = engine_config + .with_reinsertion_filter(StorageFilter::new().with_condition(AdmitAll)); } HybridCacheBuilder::>::new() .with_name("block-cache") .memory(1) - // Disable the in-memory tier — this cache is disk-only. - // Foyer is a hybrid (DRAM + disk) cache; setting the memory capacity - // to 1 byte opts out of DRAM caching. All entries go directly to the - // disk tier (FsDevice) below. + // Disable the in-memory tier — this cache is disk-only. + // Foyer is a hybrid (DRAM + disk) cache; setting the memory capacity + // to 1 byte opts out of DRAM caching. All entries go directly to the + // disk tier (FsDevice) below. .storage() // RecoverMode::Quiet recovers existing disk entries into Foyer's in-RAM // index without raising an error on corrupted pages. Together with @@ -358,10 +359,20 @@ impl FoyerCache { native_bridge_common::log_info!( "[block-cache] ready: disk={}B, block_size={}B, io_engine={}, sweep_threshold={:.0}%, \ persist_interval={}s, reinsertion={}, dir={}", - disk_bytes, block_size_bytes, io_engine_for_log, + disk_bytes, + block_size_bytes, + io_engine_for_log, sweep_threshold_ratio * 100.0, - if persist_interval_secs == 0 { "disabled".to_string() } else { persist_interval_secs.to_string() }, - if reinsertion_admit_all { "AdmitAll" } else { "RejectAll" }, + if persist_interval_secs == 0 { + "disabled".to_string() + } else { + persist_interval_secs.to_string() + }, + if reinsertion_admit_all { + "AdmitAll" + } else { + "RejectAll" + }, disk_dir.display() ); // CancellationToken is Clone and Send — cheap to share with background tasks. @@ -373,7 +384,7 @@ impl FoyerCache { // ── Construct instance ──────────────────────────────────────────────── let sweep_threshold_atomic = Arc::new(AtomicU64::new(sweep_threshold_ratio.to_bits())); - let sweep_interval_atomic = Arc::new(AtomicU64::new(sweep_interval_secs)); + let sweep_interval_atomic = Arc::new(AtomicU64::new(sweep_interval_secs)); let persist_interval_atomic = Arc::new(AtomicU64::new(persist_interval_secs)); let mut instance = Self { @@ -385,9 +396,9 @@ impl FoyerCache { sweep_cursor, disk_bytes, sweep_threshold_ratio: sweep_threshold_atomic, - sweep_interval_secs: sweep_interval_atomic, + sweep_interval_secs: sweep_interval_atomic, persist_interval_secs: persist_interval_atomic, - cache_dir: disk_dir, // move: dir_clone was consumed by block_on, disk_dir is still owned + cache_dir: disk_dir, // move: dir_clone was consumed by block_on, disk_dir is still owned }; // Bulk-load key_index from disk. @@ -472,11 +483,11 @@ impl FoyerCache { // scan) vs persisting (cheap file write). // persist_interval_secs > 0 required to spawn; 0 means disabled (Drop-only persist). if persist_interval_secs > 0 { - let persist_token = instance.shutdown.clone(); + let persist_token = instance.shutdown.clone(); let persist_key_index = Arc::clone(&instance.key_index); - let persist_stats = Arc::clone(&instance.stats); - let persist_dir = instance.cache_dir.clone(); - let persist_interval = Duration::from_secs(persist_interval_secs); + let persist_stats = Arc::clone(&instance.stats); + let persist_dir = instance.cache_dir.clone(); + let persist_interval = Duration::from_secs(persist_interval_secs); instance._runtime.spawn(async move { native_bridge_common::log_info!( @@ -575,7 +586,9 @@ impl FoyerCache { // Compute stats before moving snapshot.index into the DashMap. let total_loaded: usize = snapshot.index.values().map(|s| s.len()).sum(); - let recovered_bytes: i64 = snapshot.index.values() + let recovered_bytes: i64 = snapshot + .index + .values() .flat_map(|keys| keys.iter()) .map(|k| key_byte_size(k)) .sum(); @@ -587,13 +600,18 @@ impl FoyerCache { } // Initialise used_bytes. No put() calls have happened yet so it is 0. - self.stats.used_bytes.fetch_add(recovered_bytes, Ordering::Relaxed); + self.stats + .used_bytes + .fetch_add(recovered_bytes, Ordering::Relaxed); let elapsed_ms = t0.elapsed().as_millis() as u64; native_bridge_common::log_info!( "[block-cache] key_index recovered: total_keys={} recovered_bytes={} \ elapsed_ms={} prefix_buckets={}", - total_loaded, recovered_bytes, elapsed_ms, self.key_index.len() + total_loaded, + recovered_bytes, + elapsed_ms, + self.key_index.len() ); } @@ -616,7 +634,7 @@ impl FoyerCache { let shard_count = shards.len(); let shard_idx = cursor.fetch_add(1, Ordering::Relaxed) % shard_count; - let mut shard = shards[shard_idx].write(); // write lock on ONE shard + let mut shard = shards[shard_idx].write(); // write lock on ONE shard let mut stale_removed = 0usize; let mut freed_bytes = 0i64; @@ -644,8 +662,12 @@ impl FoyerCache { drop(shard); if stale_removed > 0 { - stats.eviction_count.fetch_add(stale_removed as i64, Ordering::Relaxed); - stats.eviction_bytes.fetch_add(freed_bytes, Ordering::Relaxed); + stats + .eviction_count + .fetch_add(stale_removed as i64, Ordering::Relaxed); + stats + .eviction_bytes + .fetch_add(freed_bytes, Ordering::Relaxed); stats.used_bytes.fetch_add(-freed_bytes, Ordering::Relaxed); native_bridge_common::log_info!( "[block-cache] key_index_sweep: shard={} stale_removed={} freed_bytes={} key_index_size={}", @@ -654,7 +676,8 @@ impl FoyerCache { } else { native_bridge_common::log_debug!( "[block-cache] key_index_sweep: shard={} no stale entries, key_index_size={}", - shard_idx, key_index.len() + shard_idx, + key_index.len() ); } stale_removed @@ -667,7 +690,12 @@ impl FoyerCache { /// the `sweep_threshold_ratio` guard (that lives in the async task loop). #[cfg(test)] pub(crate) fn sweep_once(&self) -> usize { - Self::reconcile_key_index(&self.key_index, &self.inner, &self.stats, &self.sweep_cursor) + Self::reconcile_key_index( + &self.key_index, + &self.inner, + &self.stats, + &self.sweep_cursor, + ) } /// Returns `true` if the current usage ratio is below the configured threshold, @@ -692,9 +720,11 @@ impl FoyerCache { /// Update the sweep threshold ratio atomically. Takes effect on next tick. pub(crate) fn update_sweep_threshold(&self, new_ratio: f64) { - self.sweep_threshold_ratio.store(new_ratio.to_bits(), Ordering::Relaxed); + self.sweep_threshold_ratio + .store(new_ratio.to_bits(), Ordering::Relaxed); native_bridge_common::log_info!( - "[block-cache] sweep threshold updated live: {:.0}%", new_ratio * 100.0 + "[block-cache] sweep threshold updated live: {:.0}%", + new_ratio * 100.0 ); } @@ -706,8 +736,12 @@ impl FoyerCache { /// Update the persist interval live. `0` = disable periodic persist. Takes effect on next sleep. pub(crate) fn update_persist_interval(&self, new_secs: u64) { - self.persist_interval_secs.store(new_secs, Ordering::Relaxed); - native_bridge_common::log_info!("[block-cache] persist interval updated live: {}s", new_secs); + self.persist_interval_secs + .store(new_secs, Ordering::Relaxed); + native_bridge_common::log_info!( + "[block-cache] persist interval updated live: {}s", + new_secs + ); } /// Clear all entries synchronously. Called from the FFM layer. @@ -728,38 +762,47 @@ impl FoyerCache { /// `object_store::Path` (no leading slash) and keys from tests or /// direct path strings (with leading slash) both map to the same bucket. fn index_key(key: &str) -> &str { - let raw = if let Some(pos) = key.find(SEPARATOR) { &key[..pos] } else { key }; + let raw = if let Some(pos) = key.find(SEPARATOR) { + &key[..pos] + } else { + key + }; raw.trim_start_matches('/') } } impl BlockCache for FoyerCache { - fn as_any(&self) -> &dyn std::any::Any { self } - fn get<'a>(&'a self, key: &'a CacheKey) - -> std::pin::Pin> + Send + 'a>> - { + fn as_any(&self) -> &dyn std::any::Any { + self + } + fn get<'a>( + &'a self, + key: &'a CacheKey, + ) -> std::pin::Pin> + Send + 'a>> { Box::pin(async { - let range_len = key.range_len() as i64; - // ActiveBytesGuard increments active_in_bytes on construction and decrements it in Drop. - // This ensures the counter is restored even if this future is dropped mid-execution - // (e.g. the caller uses tokio::select! with a timeout that fires before the disk read - // completes). Without the guard, a cancelled future would leave active_in_bytes elevated. - let _active_guard = ActiveBytesGuard::new(&self.stats.active_in_bytes, range_len); - - match self.inner.get(&key.as_str().to_string()).await { - Ok(Some(e)) => { - let size = e.value().len() as i64; - self.stats.hit_count.fetch_add(1, Ordering::Relaxed); - self.stats.hit_bytes.fetch_add(size, Ordering::Relaxed); - Some(Bytes::copy_from_slice(e.value())) - } - _ => { - self.stats.miss_count.fetch_add(1, Ordering::Relaxed); - self.stats.miss_bytes.fetch_add(range_len, Ordering::Relaxed); - None + let range_len = key.range_len() as i64; + // ActiveBytesGuard increments active_in_bytes on construction and decrements it in Drop. + // This ensures the counter is restored even if this future is dropped mid-execution + // (e.g. the caller uses tokio::select! with a timeout that fires before the disk read + // completes). Without the guard, a cancelled future would leave active_in_bytes elevated. + let _active_guard = ActiveBytesGuard::new(&self.stats.active_in_bytes, range_len); + + match self.inner.get(&key.as_str().to_string()).await { + Ok(Some(e)) => { + let size = e.value().len() as i64; + self.stats.hit_count.fetch_add(1, Ordering::Relaxed); + self.stats.hit_bytes.fetch_add(size, Ordering::Relaxed); + Some(Bytes::copy_from_slice(e.value())) + } + _ => { + self.stats.miss_count.fetch_add(1, Ordering::Relaxed); + self.stats + .miss_bytes + .fetch_add(range_len, Ordering::Relaxed); + None + } } - } - // _active_guard dropped here — fetch_sub runs regardless of hit/miss/cancellation + // _active_guard dropped here — fetch_sub runs regardless of hit/miss/cancellation }) } @@ -785,7 +828,8 @@ impl BlockCache for FoyerCache { fn evict_prefix(&self, prefix: &str) { // Normalize prefix: object_store::Path strips leading '/' when building keys, let normalized = prefix.trim_start_matches('/'); - let matching: Vec = self.key_index + let matching: Vec = self + .key_index .iter() .filter(|e| e.key().starts_with(normalized)) .map(|e| e.key().clone()) @@ -808,9 +852,15 @@ impl BlockCache for FoyerCache { // on disk when evict_prefix() is called, so memory.remove() returns None and Event::Remove // never fires. if total_evicted > 0 { - self.stats.removed_count.fetch_add(total_evicted as i64, Ordering::Relaxed); - self.stats.removed_bytes.fetch_add(removed_bytes, Ordering::Relaxed); - self.stats.used_bytes.fetch_add(-removed_bytes, Ordering::Relaxed); + self.stats + .removed_count + .fetch_add(total_evicted as i64, Ordering::Relaxed); + self.stats + .removed_bytes + .fetch_add(removed_bytes, Ordering::Relaxed); + self.stats + .used_bytes + .fetch_add(-removed_bytes, Ordering::Relaxed); } native_bridge_common::log_info!( @@ -821,33 +871,38 @@ impl BlockCache for FoyerCache { fn clear(&self) -> std::pin::Pin + Send + '_>> { Box::pin(async move { - // Accumulate removed stats from key_index before wiping. - // Slightly inaccurate: stale entries (disk-reclaimer-evicted but not yet swept) - // are counted as removed here rather than as evictions. Acceptable — mirrors how - // FileCache.clear() uses recordRemoval() per entry. - let mut total_removed = 0i64; - let mut total_removed_bytes = 0i64; - for entry in self.key_index.iter() { - for k in entry.value() { - total_removed += 1; - total_removed_bytes += key_byte_size(k); + // Accumulate removed stats from key_index before wiping. + // Slightly inaccurate: stale entries (disk-reclaimer-evicted but not yet swept) + // are counted as removed here rather than as evictions. Acceptable — mirrors how + // FileCache.clear() uses recordRemoval() per entry. + let mut total_removed = 0i64; + let mut total_removed_bytes = 0i64; + for entry in self.key_index.iter() { + for k in entry.value() { + total_removed += 1; + total_removed_bytes += key_byte_size(k); + } } - } - self.key_index.clear(); - self.stats.used_bytes.store(0, Ordering::Relaxed); - if total_removed > 0 { - self.stats.removed_count.fetch_add(total_removed, Ordering::Relaxed); - self.stats.removed_bytes.fetch_add(total_removed_bytes, Ordering::Relaxed); - } - let _ = self.inner.clear().await; + self.key_index.clear(); + self.stats.used_bytes.store(0, Ordering::Relaxed); + if total_removed > 0 { + self.stats + .removed_count + .fetch_add(total_removed, Ordering::Relaxed); + self.stats + .removed_bytes + .fetch_add(total_removed_bytes, Ordering::Relaxed); + } + let _ = self.inner.clear().await; - // Delete the persisted key_index files so the next startup does not bulk-load - // stale keys into a freshly-cleared cache. - if let Err(e) = key_index_store::delete(&self.cache_dir) { - native_bridge_common::log_info!( - "[block-cache] key_index clear: failed to delete snapshot files: {}", e - ); - } + // Delete the persisted key_index files so the next startup does not bulk-load + // stale keys into a freshly-cleared cache. + if let Err(e) = key_index_store::delete(&self.cache_dir) { + native_bridge_common::log_info!( + "[block-cache] key_index clear: failed to delete snapshot files: {}", + e + ); + } }) } } diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/mod.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/mod.rs index c4b942b8291ec..777f3a36151e9 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/mod.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/foyer/mod.rs @@ -6,5 +6,5 @@ * compatible open source license. */ -pub mod foyer_cache; pub mod ffm; +pub mod foyer_cache; diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/key_index_store.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/key_index_store.rs index 264165115396c..829d1a1389473 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/key_index_store.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/key_index_store.rs @@ -66,7 +66,10 @@ impl KeyIndexSnapshot { /// Return an empty snapshot with the current version. /// Used as a fallback when the snapshot file is missing or unparseable. pub fn empty() -> Self { - Self { version: SNAPSHOT_VERSION, index: HashMap::new() } + Self { + version: SNAPSHOT_VERSION, + index: HashMap::new(), + } } /// Return `true` when there are no prefix buckets in this snapshot. @@ -97,7 +100,7 @@ pub fn save(dir: &Path, key_index: &DashMap>) -> io::Res })) .map_err(|e| io::Error::new(ErrorKind::InvalidData, e))?; - let tmp_path = dir.join(KEY_INDEX_TMP_FILENAME); + let tmp_path = dir.join(KEY_INDEX_TMP_FILENAME); let final_path = dir.join(KEY_INDEX_FILENAME); // Atomic write: write to .tmp then rename. @@ -136,7 +139,7 @@ pub fn load(dir: &Path) -> io::Result { fn load_inner(dir: &Path) -> io::Result { let final_path = dir.join(KEY_INDEX_FILENAME); - let tmp_path = dir.join(KEY_INDEX_TMP_FILENAME); + let tmp_path = dir.join(KEY_INDEX_TMP_FILENAME); // 1. Try the committed file. match std::fs::read_to_string(&final_path) { @@ -154,16 +157,17 @@ fn load_inner(dir: &Path) -> io::Result { ); parse_and_validate(&contents) } - Err(e) if e.kind() == ErrorKind::NotFound => { - Err(io::Error::new(ErrorKind::NotFound, "key_index.json not found")) - } + Err(e) if e.kind() == ErrorKind::NotFound => Err(io::Error::new( + ErrorKind::NotFound, + "key_index.json not found", + )), Err(e) => Err(e), } } fn parse_and_validate(contents: &str) -> io::Result { - let snapshot: KeyIndexSnapshot = serde_json::from_str(contents) - .map_err(|e| io::Error::new(ErrorKind::InvalidData, e))?; + let snapshot: KeyIndexSnapshot = + serde_json::from_str(contents).map_err(|e| io::Error::new(ErrorKind::InvalidData, e))?; if snapshot.version != SNAPSHOT_VERSION { return Err(io::Error::new( @@ -237,9 +241,18 @@ mod tests { fn test_save_and_load_roundtrip() { let dir = TempDir::new().unwrap(); let map = make_map(vec![ - ("data/a.parquet", vec!["data/a.parquet\x1F0-100", "data/a.parquet\x1F100-200"]), - ("data/b.parquet", vec!["data/b.parquet\x1F0-512", "data/b.parquet\x1F512-1024"]), - ("data/c.parquet", vec!["data/c.parquet\x1F0-4096", "data/c.parquet\x1F4096-8192"]), + ( + "data/a.parquet", + vec!["data/a.parquet\x1F0-100", "data/a.parquet\x1F100-200"], + ), + ( + "data/b.parquet", + vec!["data/b.parquet\x1F0-512", "data/b.parquet\x1F512-1024"], + ), + ( + "data/c.parquet", + vec!["data/c.parquet\x1F0-4096", "data/c.parquet\x1F4096-8192"], + ), ]); save(dir.path(), &map).expect("save must succeed"); @@ -261,7 +274,10 @@ mod tests { save(dir.path(), &map).unwrap(); let snapshot = load(dir.path()).unwrap(); let keys = snapshot.index.get("data/nodes/0/file.parquet").unwrap(); - assert!(keys.contains(key), "\\x1F separator must survive serde roundtrip"); + assert!( + keys.contains(key), + "\\x1F separator must survive serde roundtrip" + ); } #[test] @@ -300,7 +316,8 @@ mod tests { std::fs::write( dir.path().join(KEY_INDEX_FILENAME), br#"{"version":999,"index":{}}"#, - ).unwrap(); + ) + .unwrap(); assert_eq!(load(dir.path()).unwrap_err().kind(), ErrorKind::InvalidData); } @@ -323,7 +340,10 @@ mod tests { version: SNAPSHOT_VERSION, index: { let mut m = HashMap::new(); - m.insert("data/x.parquet".to_string(), ["data/x.parquet\x1F0-100".to_string()].into()); + m.insert( + "data/x.parquet".to_string(), + ["data/x.parquet\x1F0-100".to_string()].into(), + ); m }, }; @@ -334,7 +354,10 @@ mod tests { let loaded = load(dir.path()).expect(".tmp fallback must succeed"); assert_eq!(loaded.index.len(), 1); assert!(loaded.index.contains_key("data/x.parquet")); - assert!(!dir.path().join(KEY_INDEX_TMP_FILENAME).exists(), ".tmp must be deleted"); + assert!( + !dir.path().join(KEY_INDEX_TMP_FILENAME).exists(), + ".tmp must be deleted" + ); } #[test] @@ -342,14 +365,30 @@ mod tests { let dir = TempDir::new().unwrap(); let main_snap = KeyIndexSnapshot { version: SNAPSHOT_VERSION, - index: { let mut m = HashMap::new(); m.insert("main".to_string(), HashSet::new()); m }, + index: { + let mut m = HashMap::new(); + m.insert("main".to_string(), HashSet::new()); + m + }, }; let tmp_snap = KeyIndexSnapshot { version: SNAPSHOT_VERSION, - index: { let mut m = HashMap::new(); m.insert("tmp".to_string(), HashSet::new()); m }, + index: { + let mut m = HashMap::new(); + m.insert("tmp".to_string(), HashSet::new()); + m + }, }; - std::fs::write(dir.path().join(KEY_INDEX_FILENAME), serde_json::to_string(&main_snap).unwrap().as_bytes()).unwrap(); - std::fs::write(dir.path().join(KEY_INDEX_TMP_FILENAME), serde_json::to_string(&tmp_snap).unwrap().as_bytes()).unwrap(); + std::fs::write( + dir.path().join(KEY_INDEX_FILENAME), + serde_json::to_string(&main_snap).unwrap().as_bytes(), + ) + .unwrap(); + std::fs::write( + dir.path().join(KEY_INDEX_TMP_FILENAME), + serde_json::to_string(&tmp_snap).unwrap().as_bytes(), + ) + .unwrap(); let loaded = load(dir.path()).unwrap(); assert!(loaded.index.contains_key("main")); @@ -366,8 +405,15 @@ mod tests { #[test] fn test_load_cleans_up_tmp_even_when_main_succeeds() { let dir = TempDir::new().unwrap(); - let snap = KeyIndexSnapshot { version: SNAPSHOT_VERSION, index: HashMap::new() }; - std::fs::write(dir.path().join(KEY_INDEX_FILENAME), serde_json::to_string(&snap).unwrap().as_bytes()).unwrap(); + let snap = KeyIndexSnapshot { + version: SNAPSHOT_VERSION, + index: HashMap::new(), + }; + std::fs::write( + dir.path().join(KEY_INDEX_FILENAME), + serde_json::to_string(&snap).unwrap().as_bytes(), + ) + .unwrap(); std::fs::write(dir.path().join(KEY_INDEX_TMP_FILENAME), b"stale").unwrap(); load(dir.path()).unwrap(); diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs index 006b05753950e..70816202529fe 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/lib.rs @@ -6,12 +6,12 @@ * compatible open source license. */ +pub mod foyer; +pub mod key_index_store; pub mod range_cache; pub mod stats; -pub mod traits; -pub mod key_index_store; -pub mod foyer; pub mod tiered_block_cache; +pub mod traits; #[cfg(test)] mod tests; diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/range_cache.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/range_cache.rs index 2642b0696edf3..c62ad3f1e5d0c 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/range_cache.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/range_cache.rs @@ -80,7 +80,7 @@ impl CacheKey { let range_part = &self.0[sep_pos + SEPARATOR.len_utf8()..]; if let Some(dash_pos) = range_part.find('-') { let start_str = &range_part[..dash_pos]; - let end_str = &range_part[dash_pos + 1..]; + let end_str = &range_part[dash_pos + 1..]; if let (Ok(start), Ok(end)) = (start_str.parse::(), end_str.parse::()) { return end.saturating_sub(start); } @@ -118,7 +118,7 @@ pub(crate) fn key_byte_size(raw_key: &str) -> i64 { let range_part = &raw_key[sep_pos + SEPARATOR.len_utf8()..]; if let Some(dash_pos) = range_part.find('-') { let start_str = &range_part[..dash_pos]; - let end_str = &range_part[dash_pos + 1..]; + let end_str = &range_part[dash_pos + 1..]; if let (Ok(start), Ok(end)) = (start_str.parse::(), end_str.parse::()) { return end.saturating_sub(start) as i64; } @@ -209,7 +209,7 @@ mod tests { #[test] fn range_keys_for_same_path_share_index_prefix() { - let k0 = range_cache_key("/data/file.parquet", 0, 4096); + let k0 = range_cache_key("/data/file.parquet", 0, 4096); let k1 = range_cache_key("/data/file.parquet", 4096, 8192); assert!(k0.as_str().starts_with("/data/file.parquet")); assert!(k1.as_str().starts_with("/data/file.parquet")); @@ -278,5 +278,4 @@ mod tests { let key = range_cache_key("/data/file.parquet", 0, u64::MAX); assert_eq!(key.range_len(), u64::MAX); } - } diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs index 4c7bd76aa6d78..ca82aaf7aeb7a 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tests.rs @@ -8,12 +8,12 @@ //! Unit tests for [`FoyerCache`] and the FFM lifecycle API. -use std::sync::Arc; use bytes::Bytes; +use std::sync::Arc; use tempfile::TempDir; -use crate::foyer::foyer_cache::FoyerCache; use crate::foyer::ffm::{foyer_create_cache, foyer_destroy_cache}; +use crate::foyer::foyer_cache::FoyerCache; use crate::range_cache::range_cache_key; use crate::traits::BlockCache; @@ -21,7 +21,7 @@ use crate::traits::BlockCache; /// Block size and disk capacity for FFM/integration tests that need a large Foyer instance. /// Must be kept in sync: block_size (BLOCK_SIZE) ≤ disk_bytes (any test using this constant). -const BLOCK_SIZE: usize = 64 * 1024 * 1024; // 64 MB — used by FFM tests (disk=64MB) and large_value test +const BLOCK_SIZE: usize = 64 * 1024 * 1024; // 64 MB — used by FFM tests (disk=64MB) and large_value test /// I/O engine for all test caches. const IO_ENGINE: &str = "auto"; @@ -37,23 +37,33 @@ const IO_ENGINE: &str = "auto"; /// Tests that explicitly exercise capacity pressure (`put_and_get_work_after_cache_nears_capacity`, /// `lru_eviction_retains_keys_in_key_index`, etc.) create their own caches with /// explicit sizes and are unaffected by these constants. -const TEST_CACHE_DISK_BYTES: usize = 4 * 1024 * 1024; // 4 MB disk capacity -const TEST_CACHE_BLOCK_SIZE: usize = 1 * 1024 * 1024; // 1 MB block size (must be ≤ disk) -const TEST_BUFFER_POOL_SIZE: usize = 1 * 1024 * 1024; // 1 MB buffer pool (≥ block_size) -const TEST_SUBMIT_QUEUE_SIZE: usize = 2 * 1024 * 1024; // 2 MB submit queue (≥ 2× buffer pool) +const TEST_CACHE_DISK_BYTES: usize = 4 * 1024 * 1024; // 4 MB disk capacity +const TEST_CACHE_BLOCK_SIZE: usize = 1 * 1024 * 1024; // 1 MB block size (must be ≤ disk) +const TEST_BUFFER_POOL_SIZE: usize = 1 * 1024 * 1024; // 1 MB buffer pool (≥ block_size) +const TEST_SUBMIT_QUEUE_SIZE: usize = 2 * 1024 * 1024; // 2 MB submit queue (≥ 2× buffer pool) fn test_cache() -> (FoyerCache, TempDir) { let dir = TempDir::new().expect("failed to create temp dir"); let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, - TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, - IO_ENGINE, 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, ); (cache, dir) } fn put_range(cache: &FoyerCache, path: &str, start: u64, end: u64, data: &[u8]) { - cache.put(&range_cache_key(path, start, end), Bytes::copy_from_slice(data)); + cache.put( + &range_cache_key(path, start, end), + Bytes::copy_from_slice(data), + ); } /// Shared Tokio runtime for all `block_on()` calls in tests. @@ -91,12 +101,21 @@ fn get_returns_exact_bytes_that_were_put() { #[test] fn multiple_ranges_for_same_file_are_independent() { let (cache, _dir) = test_cache(); - put_range(&cache, "/data/a.parquet", 0, 4096, b"range0"); + put_range(&cache, "/data/a.parquet", 0, 4096, b"range0"); put_range(&cache, "/data/a.parquet", 4096, 8192, b"range1"); put_range(&cache, "/data/a.parquet", 8192, 12288, b"range2"); - assert_eq!(block_on(cache.get(&range_cache_key("/data/a.parquet", 0, 4096))).as_deref(), Some(b"range0".as_slice())); - assert_eq!(block_on(cache.get(&range_cache_key("/data/a.parquet", 4096, 8192))).as_deref(), Some(b"range1".as_slice())); - assert_eq!(block_on(cache.get(&range_cache_key("/data/a.parquet", 8192, 12288))).as_deref(), Some(b"range2".as_slice())); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/a.parquet", 0, 4096))).as_deref(), + Some(b"range0".as_slice()) + ); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/a.parquet", 4096, 8192))).as_deref(), + Some(b"range1".as_slice()) + ); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/a.parquet", 8192, 12288))).as_deref(), + Some(b"range2".as_slice()) + ); } #[test] @@ -105,9 +124,18 @@ fn multiple_files_are_independent() { put_range(&cache, "/data/a.parquet", 0, 100, b"file_a"); put_range(&cache, "/data/b.parquet", 0, 100, b"file_b"); put_range(&cache, "/data/c.parquet", 0, 100, b"file_c"); - assert_eq!(block_on(cache.get(&range_cache_key("/data/a.parquet", 0, 100))).as_deref(), Some(b"file_a".as_slice())); - assert_eq!(block_on(cache.get(&range_cache_key("/data/b.parquet", 0, 100))).as_deref(), Some(b"file_b".as_slice())); - assert_eq!(block_on(cache.get(&range_cache_key("/data/c.parquet", 0, 100))).as_deref(), Some(b"file_c".as_slice())); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/a.parquet", 0, 100))).as_deref(), + Some(b"file_a".as_slice()) + ); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/b.parquet", 0, 100))).as_deref(), + Some(b"file_b".as_slice()) + ); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/c.parquet", 0, 100))).as_deref(), + Some(b"file_c".as_slice()) + ); } #[test] @@ -143,8 +171,8 @@ fn get_returns_none_for_unknown_key() { fn get_returns_none_for_wrong_range_on_known_path() { let (cache, _dir) = test_cache(); put_range(&cache, "/data/file.parquet", 0, 100, b"data"); - assert!(block_on(cache.get(&range_cache_key("/data/file.parquet", 1, 100))).is_none()); - assert!(block_on(cache.get(&range_cache_key("/data/file.parquet", 0, 99))).is_none()); + assert!(block_on(cache.get(&range_cache_key("/data/file.parquet", 1, 100))).is_none()); + assert!(block_on(cache.get(&range_cache_key("/data/file.parquet", 0, 99))).is_none()); assert!(block_on(cache.get(&range_cache_key("/data/file.parquet", 200, 300))).is_none()); } @@ -153,7 +181,7 @@ fn get_returns_none_for_wrong_range_on_known_path() { #[test] fn evict_prefix_removes_all_ranges_for_file() { let (cache, _dir) = test_cache(); - put_range(&cache, "/data/target.parquet", 0, 4096, b"range0"); + put_range(&cache, "/data/target.parquet", 0, 4096, b"range0"); put_range(&cache, "/data/target.parquet", 4096, 8192, b"range1"); put_range(&cache, "/data/target.parquet", 8192, 12288, b"range2"); cache.evict_prefix("/data/target.parquet"); @@ -170,7 +198,7 @@ fn evict_prefix_removes_all_ranges_for_file() { fn evict_prefix_does_not_affect_other_files() { let (cache, _dir) = test_cache(); put_range(&cache, "/data/target.parquet", 0, 100, b"target"); - put_range(&cache, "/data/other.parquet", 0, 100, b"other"); + put_range(&cache, "/data/other.parquet", 0, 100, b"other"); cache.evict_prefix("/data/target.parquet"); assert!(block_on(cache.get(&range_cache_key("/data/other.parquet", 0, 100))).is_some()); assert!(block_on(cache.get(&range_cache_key("/data/target.parquet", 0, 100))).is_none()); @@ -213,28 +241,63 @@ fn clear_updates_removed_count_and_removed_bytes() { put_range(&cache, "/data/a.parquet", 0, 100, &vec![0u8; 100]); put_range(&cache, "/data/b.parquet", 0, 200, &vec![0u8; 200]); - let removed_count_before = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - let removed_bytes_before = cache.stats.removed_bytes.load(std::sync::atomic::Ordering::Relaxed); + let removed_count_before = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + let removed_bytes_before = cache + .stats + .removed_bytes + .load(std::sync::atomic::Ordering::Relaxed); block_on(cache.clear()); - let removed_count_after = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - let removed_bytes_after = cache.stats.removed_bytes.load(std::sync::atomic::Ordering::Relaxed); - let used_bytes_after = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let removed_count_after = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + let removed_bytes_after = cache + .stats + .removed_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let used_bytes_after = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); - assert_eq!(removed_count_after, removed_count_before + 2, "clear() must count 2 removed entries"); - assert_eq!(removed_bytes_after, removed_bytes_before + 300, "clear() must count 100 + 200 = 300 removed bytes"); + assert_eq!( + removed_count_after, + removed_count_before + 2, + "clear() must count 2 removed entries" + ); + assert_eq!( + removed_bytes_after, + removed_bytes_before + 300, + "clear() must count 100 + 200 = 300 removed bytes" + ); assert_eq!(used_bytes_after, 0, "clear() must reset used_bytes to 0"); - assert!(cache.key_index.is_empty(), "key_index must be empty after clear()"); + assert!( + cache.key_index.is_empty(), + "key_index must be empty after clear()" + ); } #[test] fn clear_on_empty_cache_does_not_change_removed_stats() { let (cache, _dir) = test_cache(); - let removed_before = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); + let removed_before = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); block_on(cache.clear()); - assert_eq!(cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed), removed_before, - "clear() on empty cache must not increment removed_count"); + assert_eq!( + cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed), + removed_before, + "clear() on empty cache must not increment removed_count" + ); } #[test] @@ -278,7 +341,7 @@ fn key_index_is_empty_after_clear() { fn key_index_has_no_entry_for_evicted_file() { let (cache, _dir) = test_cache(); put_range(&cache, "/data/target.parquet", 0, 100, b"data"); - put_range(&cache, "/data/other.parquet", 0, 100, b"other"); + put_range(&cache, "/data/other.parquet", 0, 100, b"other"); cache.evict_prefix("/data/target.parquet"); // key_index stores normalized keys (no leading '/'): assert!(!cache.key_index.contains_key("data/target.parquet")); @@ -300,21 +363,28 @@ fn put_same_key_twice_does_not_duplicate_key_index_entry() { // First put: key must be added to key_index. cache.put(&key, Bytes::from(vec![0u8; 1024])); - let count_after_first = cache.key_index + let count_after_first = cache + .key_index .get("data/file.parquet") .map(|v| v.len()) .unwrap_or(0); - assert_eq!(count_after_first, 1, "first put must add exactly 1 entry to key_index"); + assert_eq!( + count_after_first, 1, + "first put must add exactly 1 entry to key_index" + ); // Second put with same key (simulates cache stampede or re-put after eviction). cache.put(&key, Bytes::from(vec![0xFFu8; 1024])); - let count_after_second = cache.key_index + let count_after_second = cache + .key_index .get("data/file.parquet") .map(|v| v.len()) .unwrap_or(0); - assert_eq!(count_after_second, 1, + assert_eq!( + count_after_second, 1, "second put of same key must NOT add a duplicate entry (HashSet dedup); got {}", - count_after_second); + count_after_second + ); } /// used_bytes must not be double-counted when the same key is put twice. @@ -325,12 +395,22 @@ fn put_same_key_twice_does_not_duplicate_key_index_entry() { #[test] fn put_same_key_twice_does_not_double_count_used_bytes() { let (cache, _dir) = test_cache(); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 + ); let key = range_cache_key("/data/file.parquet", 0, 512); cache.put(&key, Bytes::from(vec![0u8; 512])); assert_eq!( - cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 512, + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 512, "used_bytes must be 512 after first put" ); @@ -338,7 +418,11 @@ fn put_same_key_twice_does_not_double_count_used_bytes() { // used_bytes must NOT be incremented again. cache.put(&key, Bytes::from(vec![0xAAu8; 512])); assert_eq!( - cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 512, + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 512, "used_bytes must still be 512 after second put of the same key (no double-count)" ); } @@ -354,30 +438,42 @@ fn concurrent_stampede_same_key_does_not_duplicate_key_index() { const RANGE_SIZE: u64 = 1024; // All threads race to put the same key — simulates a cache stampede after a miss. - let handles: Vec<_> = (0..THREAD_COUNT).map(|_| { - let cache = Arc::clone(&cache); - std::thread::spawn(move || { - let key = range_cache_key("/data/shared.parquet", 0, RANGE_SIZE); - cache.put(&key, Bytes::from(vec![0xABu8; RANGE_SIZE as usize])); + let handles: Vec<_> = (0..THREAD_COUNT) + .map(|_| { + let cache = Arc::clone(&cache); + std::thread::spawn(move || { + let key = range_cache_key("/data/shared.parquet", 0, RANGE_SIZE); + cache.put(&key, Bytes::from(vec![0xABu8; RANGE_SIZE as usize])); + }) }) - }).collect(); - for h in handles { h.join().expect("thread panicked"); } + .collect(); + for h in handles { + h.join().expect("thread panicked"); + } // key_index must have exactly 1 entry for this key, not THREAD_COUNT. - let count = cache.key_index + let count = cache + .key_index .get("data/shared.parquet") .map(|v| v.len()) .unwrap_or(0); - assert_eq!(count, 1, + assert_eq!( + count, 1, "key_index must contain exactly 1 entry after {} concurrent puts of the same key; got {}", - THREAD_COUNT, count); + THREAD_COUNT, count + ); // used_bytes: at most 1× the entry size. It may be less if the second-N puts // raced and all returned false from HashSet::insert, but never more than 1×. - let used_bytes = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert_eq!(used_bytes, RANGE_SIZE as i64, + let used_bytes = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert_eq!( + used_bytes, RANGE_SIZE as i64, "used_bytes must be exactly {} after {} concurrent puts of the same key; got {}", - RANGE_SIZE, THREAD_COUNT, used_bytes); + RANGE_SIZE, THREAD_COUNT, used_bytes + ); } // ── concurrent access ───────────────────────────────────────────────────────── @@ -386,14 +482,18 @@ fn concurrent_stampede_same_key_does_not_duplicate_key_index() { fn concurrent_puts_to_different_files_do_not_corrupt() { let (cache, _dir) = test_cache(); let cache = Arc::new(cache); - let handles: Vec<_> = (0..16).map(|i| { - let cache = Arc::clone(&cache); - std::thread::spawn(move || { - let key = range_cache_key(&format!("/data/file_{}.parquet", i), 0, 1024); - cache.put(&key, Bytes::copy_from_slice(&vec![i as u8; 1024])); + let handles: Vec<_> = (0..16) + .map(|i| { + let cache = Arc::clone(&cache); + std::thread::spawn(move || { + let key = range_cache_key(&format!("/data/file_{}.parquet", i), 0, 1024); + cache.put(&key, Bytes::copy_from_slice(&vec![i as u8; 1024])); + }) }) - }).collect(); - for h in handles { h.join().expect("thread panicked"); } + .collect(); + for h in handles { + h.join().expect("thread panicked"); + } for i in 0u8..16 { let key = range_cache_key(&format!("/data/file_{}.parquet", i), 0, 1024); let result = block_on(cache.get(&key)).expect("entry should be retrievable"); @@ -436,7 +536,9 @@ fn concurrent_evict_and_put_does_not_panic() { }); let evictor_cache = Arc::clone(&cache); let evictor = std::thread::spawn(move || { - for _ in 0..50 { evictor_cache.evict_prefix("/data/file.parquet"); } + for _ in 0..50 { + evictor_cache.evict_prefix("/data/file.parquet"); + } }); writer.join().expect("writer panicked"); evictor.join().expect("evictor panicked"); @@ -487,8 +589,15 @@ fn concurrent_put_and_evict_same_prefix_does_not_corrupt() { evictor.join().expect("evictor panicked"); // used_bytes must never go negative — that would indicate double-subtraction of stats. - let used = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert!(used >= 0, "used_bytes must not be negative after concurrent put/evict; got {}", used); + let used = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + used >= 0, + "used_bytes must not be negative after concurrent put/evict; got {}", + used + ); // Cache must remain fully usable after the concurrent activity. let key = range_cache_key("/data/shard.parquet", 999_000, 999_100); @@ -503,7 +612,18 @@ fn put_and_get_work_after_cache_nears_capacity() { let dir = TempDir::new().unwrap(); // disk=2MB ≥ block_size=512KB (Foyer invariant: block_size ≤ disk). // Writes 4 × 512KB = 2MB total into a 2MB cache to exercise near-capacity behaviour. - let cache = FoyerCache::new(2 * 1024 * 1024, dir.path(), 512 * 1024, 512 * 1024, 1024 * 1024, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + 2 * 1024 * 1024, + dir.path(), + 512 * 1024, + 512 * 1024, + 1024 * 1024, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); let chunk = vec![0u8; 512 * 1024]; for i in 0u64..4 { let key = range_cache_key("/data/file.parquet", i * 524288, (i + 1) * 524288); @@ -527,12 +647,27 @@ fn lru_eviction_retains_keys_in_key_index() { // disk=1MB, block_size=256KB (256KB ≤ 1MB — Foyer invariant satisfied). // Writes 8 × 256KB = 2MB total into a 1MB cache to trigger LRU eviction pressure. let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(1 * 1024 * 1024, dir.path(), 256 * 1024, 256 * 1024, 512 * 1024, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + 1 * 1024 * 1024, + dir.path(), + 256 * 1024, + 256 * 1024, + 512 * 1024, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); const CHUNK_SIZE: usize = 256 * 1024; const TOTAL_WRITES: usize = 8; let chunk = vec![0xABu8; CHUNK_SIZE]; for i in 0u64..TOTAL_WRITES as u64 { - let key = range_cache_key("/data/big.parquet", i * CHUNK_SIZE as u64, (i + 1) * CHUNK_SIZE as u64); + let key = range_cache_key( + "/data/big.parquet", + i * CHUNK_SIZE as u64, + (i + 1) * CHUNK_SIZE as u64, + ); cache.put(&key, Bytes::copy_from_slice(&chunk)); } // Busy-assert: poll until all TOTAL_WRITES keys appear in key_index or deadline expires. @@ -540,7 +675,11 @@ fn lru_eviction_retains_keys_in_key_index() { // rather than using a fixed sleep — avoids flakiness on slow CI machines. let deadline = std::time::Instant::now() + std::time::Duration::from_secs(5); let key_count = loop { - let count = cache.key_index.get("data/big.parquet").map(|v| v.len()).unwrap_or(0); + let count = cache + .key_index + .get("data/big.parquet") + .map(|v| v.len()) + .unwrap_or(0); if count >= TOTAL_WRITES || std::time::Instant::now() >= deadline { break count; } @@ -564,29 +703,55 @@ fn replace_event_key_index_retains_entry() { let (cache, _dir) = test_cache(); let key = range_cache_key("/data/file.parquet", 0, 100); cache.put(&key, Bytes::from_static(b"version_1")); - let used_after_v1 = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let used_after_v1 = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); cache.put(&key, Bytes::from_static(b"version_2")); std::thread::sleep(std::time::Duration::from_millis(100)); // With HashSet key_index, putting the same key twice must result in exactly 1 entry // (not 2), because HashSet::insert is idempotent for duplicate keys. - let count = cache.key_index.get("data/file.parquet").map(|v| v.len()).unwrap_or(0); - assert_eq!(count, 1, "key must appear exactly once in key_index after overwrite (HashSet dedup); got {}", count); + let count = cache + .key_index + .get("data/file.parquet") + .map(|v| v.len()) + .unwrap_or(0); + assert_eq!( + count, 1, + "key must appear exactly once in key_index after overwrite (HashSet dedup); got {}", + count + ); // used_bytes grows monotonically: v2 was added on top of v1 (no reliable subtraction). - let used_after_v2 = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert!(used_after_v2 >= used_after_v1, "used_bytes must not decrease on overwrite"); + let used_after_v2 = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + used_after_v2 >= used_after_v1, + "used_bytes must not decrease on overwrite" + ); // Latest value must be readable. let result = block_on(cache.get(&key)); assert_eq!(result.as_deref(), Some(b"version_2".as_slice())); // evict_prefix must still clean up correctly and increment removed_count. - let removed_before = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); + let removed_before = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); cache.evict_prefix("/data/file.parquet"); assert!(!cache.key_index.contains_key("data/file.parquet")); - let removed_after = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - assert!(removed_after > removed_before, "removed_count must increase after evict_prefix"); + let removed_after = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + removed_after > removed_before, + "removed_count must increase after evict_prefix" + ); } // ── Background sweeper tests ────────────────────────────────────────────────── @@ -599,7 +764,10 @@ fn sweep_once_returns_zero_when_all_entries_still_on_disk() { put_range(&cache, "/data/file.parquet", 0, 100, b"data"); put_range(&cache, "/data/file.parquet", 100, 200, b"more"); let removed = cache.sweep_once(); - assert_eq!(removed, 0, "no stale entries expected immediately after put"); + assert_eq!( + removed, 0, + "no stale entries expected immediately after put" + ); assert!(cache.key_index.contains_key("data/file.parquet")); } @@ -618,41 +786,70 @@ fn sweep_once_removes_stale_keys_and_updates_eviction_count() { // Inject a fake key that Foyer has never seen — inner.contains() will return false. // Range: 99999-100000 → 1 byte, parseable by key_byte_size(). let fake_key = "data/file.parquet\x1F99999-100000".to_string(); - cache.key_index + cache + .key_index .entry("data/file.parquet".to_string()) .or_default() .insert(fake_key.clone()); - let eviction_count_before = cache.stats.eviction_count.load(std::sync::atomic::Ordering::Relaxed); - let eviction_bytes_before = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); - let used_bytes_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_count_before = cache + .stats + .eviction_count + .load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_before = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let used_bytes_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); // Loop shard_count times to guarantee the shard containing the fake key is visited. // DashMap hashes keys to one of N shards (N=64 on macOS); sweep_once() processes ONE shard // per call, so we need N calls to cover all shards exactly once. let shard_count = cache.key_index.shards().len(); let removed: usize = (0..shard_count).map(|_| cache.sweep_once()).sum(); - assert_eq!(removed, 1, "sweeper should have removed the 1 fake/stale key"); assert_eq!( - cache.stats.eviction_count.load(std::sync::atomic::Ordering::Relaxed), + removed, 1, + "sweeper should have removed the 1 fake/stale key" + ); + assert_eq!( + cache + .stats + .eviction_count + .load(std::sync::atomic::Ordering::Relaxed), eviction_count_before + 1, "eviction_count must be incremented for stale entries removed by sweeper" ); // Fake key range 99999-100000 = 1 byte. assert_eq!( - cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed), + cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed), eviction_bytes_before + 1, "eviction_bytes must reflect the byte size of stale entries (parsed from key)" ); assert_eq!( - cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), used_bytes_before - 1, "used_bytes must be decremented by freed bytes when sweeper removes stale entries" ); // Real key is still in key_index. - let remaining = cache.key_index.get("data/file.parquet").map(|v| v.len()).unwrap_or(0); - assert_eq!(remaining, 1, "real key must remain in key_index after sweep"); + let remaining = cache + .key_index + .get("data/file.parquet") + .map(|v| v.len()) + .unwrap_or(0); + assert_eq!( + remaining, 1, + "real key must remain in key_index after sweep" + ); } #[test] @@ -663,7 +860,8 @@ fn sweep_once_removes_empty_prefix_buckets() { // Inject only fake keys for a prefix — no real entries. let fake1 = "data/gone.parquet\x1F0-100".to_string(); let fake2 = "data/gone.parquet\x1F100-200".to_string(); - cache.key_index + cache + .key_index .entry("data/gone.parquet".to_string()) .or_default() .extend(vec![fake1, fake2]); @@ -695,23 +893,53 @@ fn evict_prefix_updates_removed_bytes_and_used_bytes() { let (cache, _dir) = test_cache(); // Two ranges: 0-100 = 100 bytes, 100-300 = 200 bytes → total 300 bytes. - put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); + put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); put_range(&cache, "/data/file.parquet", 100, 300, &vec![0u8; 200]); std::thread::sleep(std::time::Duration::from_millis(100)); - let used_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - let removed_count_before = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - let removed_bytes_before = cache.stats.removed_bytes.load(std::sync::atomic::Ordering::Relaxed); + let used_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let removed_count_before = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + let removed_bytes_before = cache + .stats + .removed_bytes + .load(std::sync::atomic::Ordering::Relaxed); cache.evict_prefix("/data/file.parquet"); - let used_after = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - let removed_count = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - let removed_bytes = cache.stats.removed_bytes.load(std::sync::atomic::Ordering::Relaxed); + let used_after = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let removed_count = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + let removed_bytes = cache + .stats + .removed_bytes + .load(std::sync::atomic::Ordering::Relaxed); - assert_eq!(removed_count, removed_count_before + 2, "removed_count: 2 entries evicted"); - assert_eq!(removed_bytes, removed_bytes_before + 300, "removed_bytes: 100 + 200 = 300"); - assert_eq!(used_after, used_before - 300, "used_bytes must decrease by 300 after eviction"); + assert_eq!( + removed_count, + removed_count_before + 2, + "removed_count: 2 entries evicted" + ); + assert_eq!( + removed_bytes, + removed_bytes_before + 300, + "removed_bytes: 100 + 200 = 300" + ); + assert_eq!( + used_after, + used_before - 300, + "used_bytes must decrease by 300 after eviction" + ); } #[test] @@ -719,27 +947,63 @@ fn evict_prefix_on_nonexistent_prefix_does_not_change_stats() { let (cache, _dir) = test_cache(); put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); - let removed_before = cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed); - let used_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let removed_before = cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed); + let used_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); cache.evict_prefix("/data/other.parquet"); - assert_eq!(cache.stats.removed_count.load(std::sync::atomic::Ordering::Relaxed), removed_before); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), used_before); + assert_eq!( + cache + .stats + .removed_count + .load(std::sync::atomic::Ordering::Relaxed), + removed_before + ); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + used_before + ); } #[test] fn used_bytes_is_correct_after_put_then_evict() { // used_bytes starts at 0, put adds size, evict_prefix subtracts — net result = 0. let (cache, _dir) = test_cache(); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 + ); put_range(&cache, "/data/file.parquet", 0, 1024, &vec![0u8; 1024]); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 1024); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 1024 + ); cache.evict_prefix("/data/file.parquet"); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0, - "used_bytes must return to 0 after evicting all entries"); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "used_bytes must return to 0 after evicting all entries" + ); } // ── sweep idempotency and edge cases ───────────────────────────────────────── @@ -751,14 +1015,23 @@ fn sweep_once_is_idempotent_for_real_entries() { put_range(&cache, "/data/file.parquet", 0, 1024, &vec![0u8; 1024]); let removed1 = cache.sweep_once(); - let eviction_bytes_after_1 = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_after_1 = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); let removed2 = cache.sweep_once(); - let eviction_bytes_after_2 = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_after_2 = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); assert_eq!(removed1, 0, "no stale entries on first sweep"); assert_eq!(removed2, 0, "no stale entries on second sweep"); assert_eq!(eviction_bytes_after_1, 0); - assert_eq!(eviction_bytes_after_2, 0, "eviction_bytes must not change across two sweeps of live entries"); + assert_eq!( + eviction_bytes_after_2, 0, + "eviction_bytes must not change across two sweeps of live entries" + ); } #[test] @@ -768,24 +1041,33 @@ fn sweep_once_stale_key_with_malformed_range_does_not_panic() { let (cache, _dir) = test_cache(); // Inject a malformed stale key — no separator, Foyer has never seen it. - cache.key_index + cache + .key_index .entry("data/bad.parquet".to_string()) .or_default() .insert("data/bad.parquet-not-a-range-key".to_string()); - let eviction_bytes_before = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_before = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); let shard_count = cache.key_index.shards().len(); let removed: usize = (0..shard_count).map(|_| cache.sweep_once()).sum(); assert_eq!(removed, 1, "stale malformed key must be removed"); // key_byte_size returns 0 for malformed key — eviction_bytes unchanged. assert_eq!( - cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed), + cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed), eviction_bytes_before, "eviction_bytes must not change for malformed (size=0) key" ); - assert!(!cache.key_index.contains_key("data/bad.parquet"), - "empty prefix bucket must be removed"); + assert!( + !cache.key_index.contains_key("data/bad.parquet"), + "empty prefix bucket must be removed" + ); } #[test] @@ -796,13 +1078,20 @@ fn sweep_once_removes_empty_prefix_buckets_and_updates_eviction_bytes() { let fake1 = "data/gone.parquet\x1F0-100".to_string(); let fake2 = "data/gone.parquet\x1F100-200".to_string(); - cache.key_index + cache + .key_index .entry("data/gone.parquet".to_string()) .or_default() .extend(vec![fake1, fake2]); - let eviction_bytes_before = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); - let used_bytes_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_before = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let used_bytes_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); let shard_count = cache.key_index.shards().len(); let removed: usize = (0..shard_count).map(|_| cache.sweep_once()).sum(); @@ -810,12 +1099,18 @@ fn sweep_once_removes_empty_prefix_buckets_and_updates_eviction_bytes() { assert_eq!(removed, 2); assert!(!cache.key_index.contains_key("data/gone.parquet")); assert_eq!( - cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed), + cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed), eviction_bytes_before + 200, "eviction_bytes must reflect both stale keys (100 + 100 = 200)" ); assert_eq!( - cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), used_bytes_before - 200, "used_bytes must decrease by 200" ); @@ -824,13 +1119,16 @@ fn sweep_once_removes_empty_prefix_buckets_and_updates_eviction_bytes() { #[test] fn event_remove_after_evict_prefix_does_not_panic_or_corrupt_key_index() { let (cache, _dir) = test_cache(); - put_range(&cache, "/data/file.parquet", 0, 100, b"data"); + put_range(&cache, "/data/file.parquet", 0, 100, b"data"); put_range(&cache, "/data/file.parquet", 100, 200, b"more"); cache.evict_prefix("/data/file.parquet"); std::thread::sleep(std::time::Duration::from_millis(100)); assert!(!cache.key_index.contains_key("data/file.parquet")); put_range(&cache, "/data/file.parquet", 0, 100, b"fresh"); - assert_eq!(block_on(cache.get(&range_cache_key("/data/file.parquet", 0, 100))).as_deref(), Some(b"fresh".as_slice())); + assert_eq!( + block_on(cache.get(&range_cache_key("/data/file.parquet", 0, 100))).as_deref(), + Some(b"fresh".as_slice()) + ); } // ── FFM lifecycle ───────────────────────────────────────────────────────────── @@ -840,14 +1138,21 @@ fn ffm_create_returns_positive_pointer() { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); let result = unsafe { foyer_destroy_cache(ptr) }; assert_eq!(result, 0); @@ -856,46 +1161,76 @@ fn ffm_create_returns_positive_pointer() { #[test] fn ffm_create_with_null_ptr_returns_error() { let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - std::ptr::null(), 10, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + std::ptr::null(), + 10, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr < 0); - if ptr < 0 { unsafe { native_bridge_common::error::native_error_free(-ptr); } } + if ptr < 0 { + unsafe { + native_bridge_common::error::native_error_free(-ptr); + } + } } #[test] fn ffm_create_with_invalid_utf8_returns_error() { let invalid_utf8 = [0xFF, 0xFE, 0xFD]; let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - invalid_utf8.as_ptr(), invalid_utf8.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + invalid_utf8.as_ptr(), + invalid_utf8.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr < 0); - if ptr < 0 { unsafe { native_bridge_common::error::native_error_free(-ptr); } } + if ptr < 0 { + unsafe { + native_bridge_common::error::native_error_free(-ptr); + } + } } #[test] fn ffm_destroy_with_zero_ptr_returns_error() { let result = unsafe { foyer_destroy_cache(0) }; assert!(result < 0); - if result < 0 { unsafe { native_bridge_common::error::native_error_free(-result); } } + if result < 0 { + unsafe { + native_bridge_common::error::native_error_free(-result); + } + } } #[test] fn ffm_destroy_with_negative_ptr_returns_error() { let result = unsafe { foyer_destroy_cache(-1) }; assert!(result < 0); - if result < 0 { unsafe { native_bridge_common::error::native_error_free(-result); } } + if result < 0 { + unsafe { + native_bridge_common::error::native_error_free(-result); + } + } } #[test] @@ -904,21 +1239,27 @@ fn ffm_create_destroy_lifecycle_no_leak() { for _ in 0..3 { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); let result = unsafe { foyer_destroy_cache(ptr) }; assert_eq!(result, 0); } } - // ── foyer_snapshot_stats tests ─────────────────────────────────────────────── use crate::foyer::ffm::foyer_snapshot_stats; @@ -931,14 +1272,21 @@ fn ffm_snapshot_stats_valid_ptr_returns_zero_and_fills_buffer() { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); // 10 fields × 2 sections = 20 longs @@ -949,7 +1297,11 @@ fn ffm_snapshot_stats_valid_ptr_returns_zero_and_fills_buffer() { // A freshly created cache has no hits, misses, evictions, used bytes, or active reads. // Sections 0 and 1 are identical (Foyer is currently single-tier). for i in 0..20 { - assert_eq!(out[i], 0, "out[{i}] should be 0 for a fresh cache, got {}", out[i]); + assert_eq!( + out[i], 0, + "out[{i}] should be 0 for a fresh cache, got {}", + out[i] + ); } let destroy_rc = unsafe { foyer_destroy_cache(ptr) }; @@ -964,12 +1316,18 @@ fn snapshot_stats_returns_zero_for_fresh_cache() { let ptr = unsafe { foyer_create_cache( 128 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); // 10 fields × 2 sections = 20 longs @@ -983,7 +1341,11 @@ fn snapshot_stats_returns_zero_for_fresh_cache() { } // Both sections are identical (single-tier: overall mirrors block_level). - assert_eq!(&buf[..10], &buf[10..], "overall and block_level sections must be identical"); + assert_eq!( + &buf[..10], + &buf[10..], + "overall and block_level sections must be identical" + ); unsafe { foyer_destroy_cache(ptr) }; } @@ -1002,18 +1364,28 @@ fn ffm_snapshot_stats_null_out_returns_error() { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 128 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 128 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); let rc = unsafe { crate::foyer::ffm::foyer_snapshot_stats(ptr, std::ptr::null_mut()) }; - assert!(rc < 0, "foyer_snapshot_stats with null out should return < 0, got {rc}"); + assert!( + rc < 0, + "foyer_snapshot_stats with null out should return < 0, got {rc}" + ); let destroy_rc = unsafe { foyer_destroy_cache(ptr) }; assert_eq!(destroy_rc, 0); @@ -1023,7 +1395,10 @@ fn ffm_snapshot_stats_null_out_returns_error() { fn snapshot_stats_returns_error_for_invalid_ptr() { let mut out = [0i64; 14]; let rc = unsafe { crate::foyer::ffm::foyer_snapshot_stats(0, out.as_mut_ptr()) }; - assert!(rc < 0, "foyer_snapshot_stats with ptr=0 should return < 0, got {rc}"); + assert!( + rc < 0, + "foyer_snapshot_stats with ptr=0 should return < 0, got {rc}" + ); } #[test] @@ -1049,8 +1424,11 @@ fn snapshot_stats_two_sections_identical_for_single_tier() { let _ = unsafe { Box::from_raw(raw_ptr as *mut Arc) }; // Section 0 (indices 0–9) and section 1 (indices 10–19) must be identical. - assert_eq!(&out[0..10], &out[10..20], - "overall and block_level sections should be identical for single-tier Foyer"); + assert_eq!( + &out[0..10], + &out[10..20], + "overall and block_level sections should be identical for single-tier Foyer" + ); } #[test] @@ -1063,7 +1441,10 @@ fn snapshot_stats_used_bytes_reflects_put() { // used_bytes counter is updated synchronously on put(). // Verify it is reflected immediately (index 6 = used_bytes). let snap = cache.stats.snapshot(); - assert_eq!(snap[6], 1024, "used_bytes should be 1024 after a single 1KB put"); + assert_eq!( + snap[6], 1024, + "used_bytes should be 1024 after a single 1KB put" + ); } #[test] @@ -1075,7 +1456,10 @@ fn snapshot_stats_null_out_via_created_cache() { cache.put(&key, Bytes::copy_from_slice(&data)); let snap = cache.stats.snapshot(); - assert_eq!(snap[6], 1024, "used_bytes should be 1024 after a single 1KB put"); + assert_eq!( + snap[6], 1024, + "used_bytes should be 1024 after a single 1KB put" + ); } /// foyer_create_cache returns a fat Box> pointer. @@ -1088,21 +1472,26 @@ fn ffm_create_cache_returns_fat_ptr_with_strong_count_one() { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 16 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 16 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); // Interpret as Box> — if the pointer type is wrong this will crash. // Take ownership and immediately check the strong count via a clone probe. - let boxed: Box> = unsafe { - Box::from_raw(ptr as *mut Arc) - }; + let boxed: Box> = unsafe { Box::from_raw(ptr as *mut Arc) }; // Clone to bump strong count by 1 — original was 1, now 2. let clone = Arc::clone(&*boxed); assert_eq!(Arc::strong_count(&*boxed), 2); @@ -1121,14 +1510,21 @@ fn ffm_create_cache_ptr_cloneable_for_multiple_shards() { let dir = TempDir::new().unwrap(); let dir_str = dir.path().to_str().unwrap(); let engine = IO_ENGINE.as_bytes(); - let ptr = unsafe { foyer_create_cache( - 16 * 1024 * 1024, - dir_str.as_ptr(), dir_str.len() as u64, - BLOCK_SIZE as u64, BLOCK_SIZE as u64, (BLOCK_SIZE * 2) as u64, - engine.as_ptr(), engine.len() as u64, - 0, 0.0_f64, - 0, - )}; + let ptr = unsafe { + foyer_create_cache( + 16 * 1024 * 1024, + dir_str.as_ptr(), + dir_str.len() as u64, + BLOCK_SIZE as u64, + BLOCK_SIZE as u64, + (BLOCK_SIZE * 2) as u64, + engine.as_ptr(), + engine.len() as u64, + 0, + 0.0_f64, + 0, + ) + }; assert!(ptr > 0); // Simulate 3 shards each cloning the Arc (as ts_create_tiered_object_store would). @@ -1157,7 +1553,7 @@ fn ffm_create_cache_ptr_cloneable_for_multiple_shards() { #[test] fn drop_without_sweep_task_does_not_panic() { let (cache, _dir) = test_cache(); // sweep_interval_secs=0 → no task spawned - drop(cache); // calls shutdown.cancel() — must be a no-op + drop(cache); // calls shutdown.cancel() — must be a no-op } /// Dropping a cache with an active sweep task must not panic. @@ -1204,7 +1600,10 @@ fn drop_cancels_the_token() { ); // Clone the token before drop so we can inspect it after. let token: CancellationToken = cache.shutdown.clone(); - assert!(!token.is_cancelled(), "token must not be cancelled before drop"); + assert!( + !token.is_cancelled(), + "token must not be cancelled before drop" + ); drop(cache); assert!(token.is_cancelled(), "token must be cancelled after drop"); } @@ -1216,7 +1615,18 @@ fn drop_cancels_the_token() { fn cache_functional_before_drop() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + 64 * 1024 * 1024, + dir.path(), + BLOCK_SIZE, + BLOCK_SIZE, + BLOCK_SIZE * 2, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); let key = range_cache_key("/data/file.parquet", 0, 100); cache.put(&key, Bytes::from_static(b"hello")); let result = block_on(cache.get(&key)); @@ -1251,7 +1661,18 @@ fn sweep_disabled_when_interval_is_zero() { #[test] fn sweep_enabled_cache_is_usable_while_task_sleeping() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(64 * 1024 * 1024, dir.path(), BLOCK_SIZE, BLOCK_SIZE, BLOCK_SIZE * 2, IO_ENGINE, 3600, 0.0, 0, false); + let cache = FoyerCache::new( + 64 * 1024 * 1024, + dir.path(), + BLOCK_SIZE, + BLOCK_SIZE, + BLOCK_SIZE * 2, + IO_ENGINE, + 3600, + 0.0, + 0, + false, + ); let key = range_cache_key("/data/file.parquet", 0, 512); cache.put(&key, Bytes::from(vec![0xABu8; 512])); let result = block_on(cache.get(&key)); @@ -1294,10 +1715,18 @@ fn persist_task_catch_unwind_does_not_kill_loop_on_panic() { assert!(result.is_err(), "catch_unwind must catch the save panic"); // Cache is still usable. put_range(&cache, "/data/b.parquet", 0, 200, b"persist_data"); - assert!(cache.key_index.contains_key("data/b.parquet"), - "key_index must be intact after simulated panic"); - assert!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed) > 0, - "used_bytes must be > 0 after put"); + assert!( + cache.key_index.contains_key("data/b.parquet"), + "key_index must be intact after simulated panic" + ); + assert!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed) + > 0, + "used_bytes must be > 0 after put" + ); } /// Verify that the sweep task with the watchdog outer loop stops cleanly @@ -1308,14 +1737,25 @@ fn sweep_task_with_active_watchdog_stops_cleanly_on_cancel() { let dir = TempDir::new().unwrap(); // Short sweep interval: the inner loop fires at least once within 2s. let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 1, // 1-second interval - 0.0, // threshold disabled — sweep runs every tick - 0, // persist disabled + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 1, // 1-second interval + 0.0, // threshold disabled — sweep runs every tick + 0, // persist disabled false, ); // Put something so the sweep has a non-trivial key_index to process. - put_range(&cache, "/data/watchdog_test.parquet", 0, 512, &vec![0u8; 512]); + put_range( + &cache, + "/data/watchdog_test.parquet", + 0, + 512, + &vec![0u8; 512], + ); // Let the sweep fire at least once. std::thread::sleep(std::time::Duration::from_millis(1200)); // Drop cancels the token — the 'inner loop's cancelled() arm fires `return`. @@ -1331,21 +1771,40 @@ fn sweep_task_with_active_watchdog_stops_cleanly_on_cancel() { fn persist_task_with_active_watchdog_stops_cleanly_on_cancel() { let dir = TempDir::new().unwrap(); let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, // sweep disabled + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, // sweep disabled 0.0, - 1, // 1-second persist interval + 1, // 1-second persist interval false, ); - put_range(&cache, "/data/persist_watchdog.parquet", 0, 256, &vec![0u8; 256]); + put_range( + &cache, + "/data/persist_watchdog.parquet", + 0, + 256, + &vec![0u8; 256], + ); // Poll for key_index.json — the persist task must write it within 5s. let deadline = std::time::Instant::now() + std::time::Duration::from_secs(5); - while !dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME).exists() { - if std::time::Instant::now() >= deadline { break; } + while !dir + .path() + .join(crate::key_index_store::KEY_INDEX_FILENAME) + .exists() + { + if std::time::Instant::now() >= deadline { + break; + } std::thread::sleep(std::time::Duration::from_millis(100)); } assert!( - dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME).exists(), + dir.path() + .join(crate::key_index_store::KEY_INDEX_FILENAME) + .exists(), "persist task must have written key_index.json before drop" ); // Drop cancels token — persist task stops via `return` in cancelled() arm. @@ -1365,14 +1824,24 @@ fn persist_task_last_persisted_reset_forces_persist_after_recovery() { // Session 1: put data and let Drop write key_index.json. { let cache1 = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, ); put_range(&cache1, "/data/reset_test.parquet", 0, 100, &vec![0u8; 100]); // Drop writes key_index.json with used_bytes=100. } assert!( - dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME).exists(), + dir.path() + .join(crate::key_index_store::KEY_INDEX_FILENAME) + .exists(), "key_index.json must exist after session 1 Drop" ); // Session 2: open with persist_interval=1s. @@ -1380,18 +1849,30 @@ fn persist_task_last_persisted_reset_forces_persist_after_recovery() { // First tick: i64::MIN != 100 → persist fires → mtime advances. { let cache2 = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 1, + false, ); // Record mtime written by Drop of session 1. - let mtime_before = std::fs::metadata( - dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME) - ).unwrap().modified().unwrap(); + let mtime_before = + std::fs::metadata(dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME)) + .unwrap() + .modified() + .unwrap(); // Wait 2s for the first persist tick. std::thread::sleep(std::time::Duration::from_millis(2000)); - let mtime_after = std::fs::metadata( - dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME) - ).unwrap().modified().unwrap(); + let mtime_after = + std::fs::metadata(dir.path().join(crate::key_index_store::KEY_INDEX_FILENAME)) + .unwrap() + .modified() + .unwrap(); assert!( mtime_after > mtime_before, "persist task must fire on first tick after recovery (last_persisted=MIN != recovered used_bytes)" @@ -1407,16 +1888,26 @@ fn persist_task_last_persisted_reset_forces_persist_after_recovery() { #[test] fn sweep_cursor_advances_by_one_per_call() { let (cache, _dir) = test_cache(); - assert_eq!(cache.sweep_cursor.load(std::sync::atomic::Ordering::Relaxed), 0, - "cursor must start at 0"); + assert_eq!( + cache + .sweep_cursor + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "cursor must start at 0" + ); // 16 sweep calls — cursor increments on each (modulo 16 internally via fetch_add). for i in 1usize..=16 { cache.sweep_once(); assert_eq!( - cache.sweep_cursor.load(std::sync::atomic::Ordering::Relaxed) % 16, + cache + .sweep_cursor + .load(std::sync::atomic::Ordering::Relaxed) + % 16, + i % 16, + "cursor must be {} after {} calls", i % 16, - "cursor must be {} after {} calls", i % 16, i + i ); } } @@ -1427,10 +1918,15 @@ fn sweep_cursor_advances_by_one_per_call() { fn sweep_cursor_preset_is_respected() { let (cache, _dir) = test_cache(); // Preset to shard 5. - cache.sweep_cursor.store(5, std::sync::atomic::Ordering::Relaxed); + cache + .sweep_cursor + .store(5, std::sync::atomic::Ordering::Relaxed); cache.sweep_once(); assert_eq!( - cache.sweep_cursor.load(std::sync::atomic::Ordering::Relaxed), 6, + cache + .sweep_cursor + .load(std::sync::atomic::Ordering::Relaxed), + 6, "cursor must be 6 (5+1) after one sweep from preset 5" ); } @@ -1444,13 +1940,21 @@ fn sweep_cursor_wraps_at_shard_count() { let shard_count = cache.key_index.shards().len(); // Set cursor to last shard index. - cache.sweep_cursor.store(shard_count - 1, std::sync::atomic::Ordering::Relaxed); + cache + .sweep_cursor + .store(shard_count - 1, std::sync::atomic::Ordering::Relaxed); cache.sweep_once(); // processes shard (shard_count - 1), cursor becomes shard_count - let raw = cache.sweep_cursor.load(std::sync::atomic::Ordering::Relaxed); + let raw = cache + .sweep_cursor + .load(std::sync::atomic::Ordering::Relaxed); assert_eq!( - raw % shard_count, 0, - "cursor raw={} must wrap: {} % {} == 0", raw, raw, shard_count + raw % shard_count, + 0, + "cursor raw={} must wrap: {} % {} == 0", + raw, + raw, + shard_count ); } @@ -1481,7 +1985,9 @@ fn sweep_once_processes_exactly_one_shard() { } // Reset cursor to shard 0 for a predictable starting point. - cache.sweep_cursor.store(0, std::sync::atomic::Ordering::Relaxed); + cache + .sweep_cursor + .store(0, std::sync::atomic::Ordering::Relaxed); // One sweep_once() call must process exactly one shard. cache.sweep_once(); @@ -1492,7 +1998,9 @@ fn sweep_once_processes_exactly_one_shard() { shards_with_entries, shard_count - 1, "exactly one shard must have been swept; {} of {} shards still have entries (expected {})", - shards_with_entries, shard_count, shard_count - 1 + shards_with_entries, + shard_count, + shard_count - 1 ); } @@ -1509,27 +2017,48 @@ fn sweep_once_does_not_touch_other_shards() { // Inject stale keys directly into shards 0 and 1. let key0 = "stale_shard0\x1F0-100".to_string(); let key1 = "stale_shard1\x1F0-200".to_string(); - shards[0].write().insert("stale_shard0".to_string(), dashmap::SharedValue::new({ - let mut s = std::collections::HashSet::new(); s.insert(key0); s - })); - shards[1].write().insert("stale_shard1".to_string(), dashmap::SharedValue::new({ - let mut s = std::collections::HashSet::new(); s.insert(key1); s - })); + shards[0].write().insert( + "stale_shard0".to_string(), + dashmap::SharedValue::new({ + let mut s = std::collections::HashSet::new(); + s.insert(key0); + s + }), + ); + shards[1].write().insert( + "stale_shard1".to_string(), + dashmap::SharedValue::new({ + let mut s = std::collections::HashSet::new(); + s.insert(key1); + s + }), + ); // Set cursor to shard 0. - cache.sweep_cursor.store(0, std::sync::atomic::Ordering::Relaxed); + cache + .sweep_cursor + .store(0, std::sync::atomic::Ordering::Relaxed); // One call sweeps shard 0 only. let removed = cache.sweep_once(); assert_eq!(removed, 1, "only the stale key in shard 0 must be removed"); // Shard 0 must be clean. - assert!(shards[0].read().is_empty(), "shard 0 must be empty after sweep"); + assert!( + shards[0].read().is_empty(), + "shard 0 must be empty after sweep" + ); // Shard 1 must still have its stale key. - assert!(!shards[1].read().is_empty(), "shard 1 must be untouched after sweeping shard 0"); + assert!( + !shards[1].read().is_empty(), + "shard 1 must be untouched after sweeping shard 0" + ); assert_eq!( - cache.sweep_cursor.load(std::sync::atomic::Ordering::Relaxed), 1, + cache + .sweep_cursor + .load(std::sync::atomic::Ordering::Relaxed), + 1, "cursor must point to shard 1 after sweeping shard 0" ); } @@ -1544,13 +2073,14 @@ fn sweep_cursor_eventually_removes_all_stale_keys_across_multiple_calls() { // Inject stale keys under several different prefixes (they will hash to different shards). let stale_keys = [ ("data/alpha.parquet", "data/alpha.parquet\x1F0-100"), - ("data/beta.parquet", "data/beta.parquet\x1F0-200"), + ("data/beta.parquet", "data/beta.parquet\x1F0-200"), ("data/gamma.parquet", "data/gamma.parquet\x1F0-300"), ("data/delta.parquet", "data/delta.parquet\x1F0-400"), ]; for (prefix, key) in &stale_keys { - cache.key_index + cache + .key_index .entry(prefix.to_string()) .or_default() .insert(key.to_string()); @@ -1566,8 +2096,14 @@ fn sweep_cursor_eventually_removes_all_stale_keys_across_multiple_calls() { total_removed += cache.sweep_once(); } - assert_eq!(total_removed, 4, "all 4 stale keys must be removed within shard_count sweep cycles"); - assert!(cache.key_index.is_empty(), "key_index must be empty after all stale keys are swept"); + assert_eq!( + total_removed, 4, + "all 4 stale keys must be removed within shard_count sweep cycles" + ); + assert!( + cache.key_index.is_empty(), + "key_index must be empty after all stale keys are swept" + ); } /// A shard containing both live and stale keys: sweep removes only the stale keys, @@ -1581,19 +2117,27 @@ fn sweep_cursor_removes_stale_but_preserves_live_keys_in_same_prefix() { // Inject a fake stale key for the same prefix — Foyer has never seen this key. let stale_key = "data/mixed.parquet\x1F999000-999100".to_string(); - cache.key_index + cache + .key_index .entry("data/mixed.parquet".to_string()) .or_default() .insert(stale_key.clone()); // Key_index now has 2 keys for the prefix: 1 live + 1 stale. - let before_count = cache.key_index + let before_count = cache + .key_index .get("data/mixed.parquet") .map(|v| v.len()) .unwrap_or(0); - assert_eq!(before_count, 2, "should have 1 live + 1 stale key before sweep"); + assert_eq!( + before_count, 2, + "should have 1 live + 1 stale key before sweep" + ); - let eviction_count_before = cache.stats.eviction_count.load(std::sync::atomic::Ordering::Relaxed); + let eviction_count_before = cache + .stats + .eviction_count + .load(std::sync::atomic::Ordering::Relaxed); // Run enough sweeps to guarantee the shard containing "data/mixed.parquet" is processed. // DashMap defaults to 64 shards on macOS — must sweep at least shard_count times. @@ -1603,13 +2147,15 @@ fn sweep_cursor_removes_stale_but_preserves_live_keys_in_same_prefix() { } // Live key must remain; stale key must be gone. - let after_count = cache.key_index + let after_count = cache + .key_index .get("data/mixed.parquet") .map(|v| v.len()) .unwrap_or(0); assert_eq!(after_count, 1, "only the live key must remain after sweep"); assert!( - !cache.key_index + !cache + .key_index .get("data/mixed.parquet") .map(|v| v.contains(&stale_key)) .unwrap_or(false), @@ -1618,7 +2164,11 @@ fn sweep_cursor_removes_stale_but_preserves_live_keys_in_same_prefix() { // Eviction stats must have been updated for the stale key. assert!( - cache.stats.eviction_count.load(std::sync::atomic::Ordering::Relaxed) > eviction_count_before, + cache + .stats + .eviction_count + .load(std::sync::atomic::Ordering::Relaxed) + > eviction_count_before, "eviction_count must increase for the stale key removed by sweep" ); } @@ -1634,7 +2184,8 @@ fn sweep_cursor_cache_remains_functional_after_sweep() { put_range(&cache, "/data/keep.parquet", 512, 1024, &vec![0xBBu8; 512]); // Also inject a fake stale key. - cache.key_index + cache + .key_index .entry("data/keep.parquet".to_string()) .or_default() .insert("data/keep.parquet\x1F9000-9100".to_string()); @@ -1647,13 +2198,25 @@ fn sweep_cursor_cache_remains_functional_after_sweep() { // Real entries must still be retrievable after sweep. let r1 = block_on(cache.get(&range_cache_key("/data/keep.parquet", 0, 512))); let r2 = block_on(cache.get(&range_cache_key("/data/keep.parquet", 512, 1024))); - assert_eq!(r1.as_ref().map(|b| b.len()), Some(512), "first range must still be readable after sweep"); - assert_eq!(r2.as_ref().map(|b| b.len()), Some(512), "second range must still be readable after sweep"); + assert_eq!( + r1.as_ref().map(|b| b.len()), + Some(512), + "first range must still be readable after sweep" + ); + assert_eq!( + r2.as_ref().map(|b| b.len()), + Some(512), + "second range must still be readable after sweep" + ); // New puts and gets must work normally after sweep. put_range(&cache, "/data/new.parquet", 0, 256, &vec![0xCCu8; 256]); let r3 = block_on(cache.get(&range_cache_key("/data/new.parquet", 0, 256))); - assert_eq!(r3.as_ref().map(|b| b.len()), Some(256), "new put after sweep must be retrievable"); + assert_eq!( + r3.as_ref().map(|b| b.len()), + Some(256), + "new put after sweep must be retrievable" + ); } /// The cursor sweep correctly updates eviction_bytes when removing stale keys. @@ -1666,7 +2229,8 @@ fn sweep_cursor_eviction_bytes_correctly_tracked() { // "data/f.parquet\x1F0-100" → 100 bytes // "data/f.parquet\x1F100-300" → 200 bytes // Total stale bytes = 300 - cache.key_index + cache + .key_index .entry("data/f.parquet".to_string()) .or_default() .extend(vec![ @@ -1674,8 +2238,14 @@ fn sweep_cursor_eviction_bytes_correctly_tracked() { "data/f.parquet\x1F100-300".to_string(), ]); - let eviction_bytes_before = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); - let used_bytes_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_before = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let used_bytes_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); // Run enough sweeps to cover all shards. // DashMap defaults to 64 shards on macOS — must sweep at least shard_count times. @@ -1684,18 +2254,29 @@ fn sweep_cursor_eviction_bytes_correctly_tracked() { cache.sweep_once(); } - let eviction_bytes_after = cache.stats.eviction_bytes.load(std::sync::atomic::Ordering::Relaxed); - let used_bytes_after = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); + let eviction_bytes_after = cache + .stats + .eviction_bytes + .load(std::sync::atomic::Ordering::Relaxed); + let used_bytes_after = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); assert_eq!( - eviction_bytes_after - eviction_bytes_before, 300, + eviction_bytes_after - eviction_bytes_before, + 300, "eviction_bytes must reflect 100 + 200 = 300 bytes for the two stale keys" ); assert_eq!( - used_bytes_after - used_bytes_before, -300, + used_bytes_after - used_bytes_before, + -300, "used_bytes must decrease by 300 when stale keys are swept" ); - assert!(cache.key_index.is_empty(), "key_index must be empty after stale keys are swept"); + assert!( + cache.key_index.is_empty(), + "key_index must be empty after stale keys are swept" + ); } // ── ActiveBytesGuard tests ──────────────────────────────────────────────────── @@ -1711,14 +2292,20 @@ fn active_bytes_guard_increments_and_decrements() { { let _guard = ActiveBytesGuard::new(&counter, 512); - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 512, - "counter must be 512 while guard is alive"); + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 512, + "counter must be 512 while guard is alive" + ); } // guard dropped here - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 0, - "counter must return to 0 after guard is dropped"); -} - + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 0, + "counter must return to 0 after guard is dropped" + ); +} + /// Multiple guards at the same time accumulate correctly and each restores its /// own contribution when dropped. #[test] @@ -1733,16 +2320,25 @@ fn active_bytes_guard_multiple_concurrent_guards() { assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 600); drop(g2); - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 400, - "dropping g2 (200) must leave 100+300=400"); + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 400, + "dropping g2 (200) must leave 100+300=400" + ); drop(g1); - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 300, - "dropping g1 (100) must leave 300"); + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 300, + "dropping g1 (100) must leave 300" + ); drop(g3); - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 0, - "dropping g3 (300) must leave 0"); + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 0, + "dropping g3 (300) must leave 0" + ); } /// A guard with value 0 is a no-op — counter stays unchanged. @@ -1766,14 +2362,26 @@ fn active_in_bytes_is_zero_before_and_after_get() { cache.put(&key, Bytes::from(vec![0u8; 1024])); // Before get(): active_in_bytes must be 0. - assert_eq!(cache.stats.active_in_bytes.load(std::sync::atomic::Ordering::Relaxed), 0, - "active_in_bytes must be 0 before any get()"); + assert_eq!( + cache + .stats + .active_in_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "active_in_bytes must be 0 before any get()" + ); block_on(cache.get(&key)); // After get() completes: guard has been dropped, counter back to 0. - assert_eq!(cache.stats.active_in_bytes.load(std::sync::atomic::Ordering::Relaxed), 0, - "active_in_bytes must be 0 after get() completes"); + assert_eq!( + cache + .stats + .active_in_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "active_in_bytes must be 0 after get() completes" + ); } /// active_in_bytes is 0 even after a cache miss — the guard restores it regardless @@ -1783,11 +2391,26 @@ fn active_in_bytes_is_zero_after_cache_miss() { let (cache, _dir) = test_cache(); let key = range_cache_key("/data/never_inserted.parquet", 0, 512); - assert_eq!(cache.stats.active_in_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); + assert_eq!( + cache + .stats + .active_in_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 + ); let result = block_on(cache.get(&key)); - assert!(result.is_none(), "key was never inserted — should be a miss"); - assert_eq!(cache.stats.active_in_bytes.load(std::sync::atomic::Ordering::Relaxed), 0, - "active_in_bytes must be 0 after a cache miss"); + assert!( + result.is_none(), + "key was never inserted — should be a miss" + ); + assert_eq!( + cache + .stats + .active_in_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "active_in_bytes must be 0 after a cache miss" + ); } /// Dropping a get() future before it completes simulates future cancellation. @@ -1808,8 +2431,11 @@ fn active_bytes_guard_drop_on_cancellation_restores_counter() { // Simulate: future cancelled (tokio::select! timeout or explicit drop). // Guard drops here — must restore counter to 0 even without the async block completing. drop(guard); - assert_eq!(counter.load(std::sync::atomic::Ordering::Relaxed), 0, - "active_in_bytes must be restored to 0 when get() future is cancelled mid-flight"); + assert_eq!( + counter.load(std::sync::atomic::Ordering::Relaxed), + 0, + "active_in_bytes must be restored to 0 when get() future is cancelled mid-flight" + ); } // ── Sweep threshold (should_skip_sweep) tests ───────────────────────────────── @@ -1820,16 +2446,36 @@ fn active_bytes_guard_drop_on_cancellation_restores_counter() { fn sweep_threshold_disabled_never_skips() { let dir = TempDir::new().unwrap(); // threshold = 0.0: disabled — always sweep - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); // used_bytes = 0 (empty cache) - assert_eq!(cache.should_skip_sweep(), false, - "threshold=0.0: should never skip even when cache is empty"); + assert_eq!( + cache.should_skip_sweep(), + false, + "threshold=0.0: should never skip even when cache is empty" + ); // used_bytes = 100% of disk - cache.stats.used_bytes.store(TEST_CACHE_DISK_BYTES as i64, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), false, - "threshold=0.0: should never skip even when cache is 100% full"); + cache.stats.used_bytes.store( + TEST_CACHE_DISK_BYTES as i64, + std::sync::atomic::Ordering::Relaxed, + ); + assert_eq!( + cache.should_skip_sweep(), + false, + "threshold=0.0: should never skip even when cache is 100% full" + ); } /// When usage is strictly below the threshold, should_skip_sweep() returns true. @@ -1837,24 +2483,53 @@ fn sweep_threshold_disabled_never_skips() { fn sweep_threshold_skips_when_usage_below_threshold() { let dir = TempDir::new().unwrap(); // disk = 4MB, threshold = 0.75 (75%) - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.75, + 0, + false, + ); // usage = 0% → below 75% → skip - cache.stats.used_bytes.store(0, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), true, - "usage=0% < threshold=75%: sweep must be skipped"); + cache + .stats + .used_bytes + .store(0, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + true, + "usage=0% < threshold=75%: sweep must be skipped" + ); // usage = 50% → below 75% → skip let half = (TEST_CACHE_DISK_BYTES / 2) as i64; - cache.stats.used_bytes.store(half, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), true, - "usage=50% < threshold=75%: sweep must be skipped"); + cache + .stats + .used_bytes + .store(half, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + true, + "usage=50% < threshold=75%: sweep must be skipped" + ); // usage = 74.9% → below 75% → skip let below = ((TEST_CACHE_DISK_BYTES as f64 * 0.749) as i64); - cache.stats.used_bytes.store(below, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), true, - "usage=74.9% < threshold=75%: sweep must be skipped"); + cache + .stats + .used_bytes + .store(below, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + true, + "usage=74.9% < threshold=75%: sweep must be skipped" + ); } /// When usage is at or above the threshold, should_skip_sweep() returns false. @@ -1862,24 +2537,53 @@ fn sweep_threshold_skips_when_usage_below_threshold() { fn sweep_threshold_runs_when_usage_at_or_above_threshold() { let dir = TempDir::new().unwrap(); // disk = 4MB, threshold = 0.75 (75%) - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.75, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.75, + 0, + false, + ); // usage = exactly 75% → NOT below → do NOT skip let exact = ((TEST_CACHE_DISK_BYTES as f64 * 0.75) as i64); - cache.stats.used_bytes.store(exact, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), false, - "usage=75% == threshold=75%: sweep must NOT be skipped"); + cache + .stats + .used_bytes + .store(exact, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + false, + "usage=75% == threshold=75%: sweep must NOT be skipped" + ); // usage = 90% → above 75% → do NOT skip let above = ((TEST_CACHE_DISK_BYTES as f64 * 0.90) as i64); - cache.stats.used_bytes.store(above, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), false, - "usage=90% > threshold=75%: sweep must NOT be skipped"); + cache + .stats + .used_bytes + .store(above, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + false, + "usage=90% > threshold=75%: sweep must NOT be skipped" + ); // usage = 100% → above 75% → do NOT skip - cache.stats.used_bytes.store(TEST_CACHE_DISK_BYTES as i64, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), false, - "usage=100% > threshold=75%: sweep must NOT be skipped"); + cache.stats.used_bytes.store( + TEST_CACHE_DISK_BYTES as i64, + std::sync::atomic::Ordering::Relaxed, + ); + assert_eq!( + cache.should_skip_sweep(), + false, + "usage=100% > threshold=75%: sweep must NOT be skipped" + ); } /// Threshold of 1.0 means "only sweep when cache is 100% full" — any usage below @@ -1887,18 +2591,41 @@ fn sweep_threshold_runs_when_usage_at_or_above_threshold() { #[test] fn sweep_threshold_one_skips_unless_completely_full() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 1.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 1.0, + 0, + false, + ); // usage = 99.9% → still below 100% → skip let almost_full = ((TEST_CACHE_DISK_BYTES as f64 * 0.999) as i64); - cache.stats.used_bytes.store(almost_full, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), true, - "threshold=1.0, usage=99.9%: sweep must be skipped"); + cache + .stats + .used_bytes + .store(almost_full, std::sync::atomic::Ordering::Relaxed); + assert_eq!( + cache.should_skip_sweep(), + true, + "threshold=1.0, usage=99.9%: sweep must be skipped" + ); // usage = exactly 100% → ratio = 1.0 = threshold → NOT below → do NOT skip - cache.stats.used_bytes.store(TEST_CACHE_DISK_BYTES as i64, std::sync::atomic::Ordering::Relaxed); - assert_eq!(cache.should_skip_sweep(), false, - "threshold=1.0, usage=100%: sweep must NOT be skipped"); + cache.stats.used_bytes.store( + TEST_CACHE_DISK_BYTES as i64, + std::sync::atomic::Ordering::Relaxed, + ); + assert_eq!( + cache.should_skip_sweep(), + false, + "threshold=1.0, usage=100%: sweep must NOT be skipped" + ); } /// Negative used_bytes (which can transiently occur due to relaxed ordering on @@ -1906,13 +2633,30 @@ fn sweep_threshold_one_skips_unless_completely_full() { #[test] fn sweep_threshold_negative_used_bytes_treated_as_zero() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.5, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.5, + 0, + false, + ); // Simulate a transient underflow (negative used_bytes) — should be clamped to 0. - cache.stats.used_bytes.store(-100, std::sync::atomic::Ordering::Relaxed); + cache + .stats + .used_bytes + .store(-100, std::sync::atomic::Ordering::Relaxed); // usage = max(−100, 0) / disk = 0 / disk = 0.0 < 0.5 → skip - assert_eq!(cache.should_skip_sweep(), true, - "negative used_bytes must be clamped to 0; ratio 0.0 < threshold 0.5 → skip"); + assert_eq!( + cache.should_skip_sweep(), + true, + "negative used_bytes must be clamped to 0; ratio 0.0 < threshold 0.5 → skip" + ); } /// sweep_once() ignores the threshold — it calls reconcile_key_index directly. @@ -1921,22 +2665,44 @@ fn sweep_threshold_negative_used_bytes_treated_as_zero() { fn sweep_once_ignores_threshold_guard() { let dir = TempDir::new().unwrap(); // Set a high threshold so should_skip_sweep() returns true - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.99, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.99, + 0, + false, + ); // Inject a stale key - cache.key_index + cache + .key_index .entry("data/file.parquet".to_string()) .or_default() .insert("data/file.parquet\x1F0-100".to_string()); // usage = 0 → should_skip_sweep() is true (below 99% threshold) - assert_eq!(cache.should_skip_sweep(), true, "precondition: threshold guard would skip"); + assert_eq!( + cache.should_skip_sweep(), + true, + "precondition: threshold guard would skip" + ); // But sweep_once() bypasses the guard and still sweeps let shard_count = cache.key_index.shards().len(); let removed: usize = (0..shard_count).map(|_| cache.sweep_once()).sum(); - assert_eq!(removed, 1, "sweep_once() must sweep regardless of threshold"); - assert!(cache.key_index.is_empty(), "stale key must be removed by sweep_once() even when threshold would skip"); + assert_eq!( + removed, 1, + "sweep_once() must sweep regardless of threshold" + ); + assert!( + cache.key_index.is_empty(), + "stale key must be removed by sweep_once() even when threshold would skip" + ); } // ── Recovery / persistence integration tests ───────────────────────────────── @@ -1957,29 +2723,67 @@ fn recovery_key_index_bulk_loaded_after_graceful_shutdown() { // Write entries into the first cache instance. { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - put_range(&cache, "/data/a.parquet", 0, 512, &vec![0u8; 512]); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + put_range(&cache, "/data/a.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/a.parquet", 512, 1024, &vec![0u8; 512]); - put_range(&cache, "/data/b.parquet", 0, 256, &vec![0u8; 256]); + put_range(&cache, "/data/b.parquet", 0, 256, &vec![0u8; 256]); // Drop calls save() — writes key_index.json } // key_index.json must exist after graceful shutdown. - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must be written on Drop"); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must be written on Drop" + ); // Second instance: recover from the snapshot. - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache2 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); // Both prefix buckets must be present immediately after new(). - assert!(cache2.key_index.contains_key("data/a.parquet"), - "data/a.parquet must be in key_index after recovery"); - assert!(cache2.key_index.contains_key("data/b.parquet"), - "data/b.parquet must be in key_index after recovery"); + assert!( + cache2.key_index.contains_key("data/a.parquet"), + "data/a.parquet must be in key_index after recovery" + ); + assert!( + cache2.key_index.contains_key("data/b.parquet"), + "data/b.parquet must be in key_index after recovery" + ); // 2 keys for a.parquet + 1 key for b.parquet = 3 total. - let a_count = cache2.key_index.get("data/a.parquet").map(|v| v.len()).unwrap_or(0); - let b_count = cache2.key_index.get("data/b.parquet").map(|v| v.len()).unwrap_or(0); + let a_count = cache2 + .key_index + .get("data/a.parquet") + .map(|v| v.len()) + .unwrap_or(0); + let b_count = cache2 + .key_index + .get("data/b.parquet") + .map(|v| v.len()) + .unwrap_or(0); assert_eq!(a_count, 2, "data/a.parquet must have 2 keys"); assert_eq!(b_count, 1, "data/b.parquet must have 1 key"); } @@ -1992,18 +2796,45 @@ fn recovery_used_bytes_initialized_from_snapshot() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); // 3 ranges: 100 + 200 + 300 = 600 bytes total. - put_range(&cache, "/data/f.parquet", 0, 100, &vec![0u8; 100]); + put_range(&cache, "/data/f.parquet", 0, 100, &vec![0u8; 100]); put_range(&cache, "/data/f.parquet", 100, 300, &vec![0u8; 200]); put_range(&cache, "/data/f.parquet", 300, 600, &vec![0u8; 300]); // Drop persists. } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - let used = cache2.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert_eq!(used, 600, - "used_bytes must be 600 (sum of all recovered key ranges) after recovery"); + let cache2 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + let used = cache2 + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert_eq!( + used, 600, + "used_bytes must be 600 (sum of all recovered key ranges) after recovery" + ); } /// After recovery, evict_prefix() correctly removes entries that were loaded @@ -2013,22 +2844,48 @@ fn recovery_evict_prefix_works_on_recovered_keys() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); put_range(&cache, "/data/shard1/file.parquet", 0, 512, &vec![0u8; 512]); put_range(&cache, "/data/shard2/file.parquet", 0, 512, &vec![0u8; 512]); // Drop persists. } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache2 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); assert!(cache2.key_index.contains_key("data/shard1/file.parquet")); assert!(cache2.key_index.contains_key("data/shard2/file.parquet")); // Evict one shard — only that shard's entry must be removed. cache2.evict_prefix("/data/shard1"); - assert!(!cache2.key_index.contains_key("data/shard1/file.parquet"), - "evict_prefix must remove recovered shard1 entries"); - assert!(cache2.key_index.contains_key("data/shard2/file.parquet"), - "shard2 must be untouched"); + assert!( + !cache2.key_index.contains_key("data/shard1/file.parquet"), + "evict_prefix must remove recovered shard1 entries" + ); + assert!( + cache2.key_index.contains_key("data/shard2/file.parquet"), + "shard2 must be untouched" + ); } /// Clean startup (no key_index.json) is a no-op: key_index starts empty, @@ -2037,11 +2894,34 @@ fn recovery_evict_prefix_works_on_recovered_keys() { fn recovery_with_no_snapshot_is_clean_startup() { let dir = TempDir::new().unwrap(); // No prior cache instance — key_index.json does not exist. - assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists()); + assert!(!dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists()); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - assert!(cache.key_index.is_empty(), "key_index must be empty on clean startup"); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + cache.key_index.is_empty(), + "key_index must be empty on clean startup" + ); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 + ); // Cache must still be fully functional. put_range(&cache, "/data/file.parquet", 0, 100, b"data"); @@ -2053,12 +2933,35 @@ fn recovery_with_no_snapshot_is_clean_startup() { #[test] fn recovery_with_corrupt_snapshot_starts_empty() { let dir = TempDir::new().unwrap(); - std::fs::write(dir.path().join(key_index_store::KEY_INDEX_FILENAME), b"{{corrupt}}") - .unwrap(); + std::fs::write( + dir.path().join(key_index_store::KEY_INDEX_FILENAME), + b"{{corrupt}}", + ) + .unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - assert!(cache.key_index.is_empty(), "corrupt snapshot must produce empty key_index"); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + cache.key_index.is_empty(), + "corrupt snapshot must produce empty key_index" + ); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 + ); // Cache must still be fully functional. put_range(&cache, "/data/file.parquet", 0, 100, b"data"); @@ -2072,9 +2975,20 @@ fn recovery_evicted_prefix_not_persisted() { let dir = TempDir::new().unwrap(); { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); put_range(&cache, "/data/evicted.parquet", 0, 512, &vec![0u8; 512]); - put_range(&cache, "/data/kept.parquet", 0, 512, &vec![0u8; 512]); + put_range(&cache, "/data/kept.parquet", 0, 512, &vec![0u8; 512]); // Evict one prefix before shutdown. cache.evict_prefix("/data/evicted.parquet"); @@ -2082,11 +2996,26 @@ fn recovery_evicted_prefix_not_persisted() { // Drop persists the remaining key_index (only kept.parquet). } - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - assert!(!cache2.key_index.contains_key("data/evicted.parquet"), - "evicted prefix must not appear in recovered key_index"); - assert!(cache2.key_index.contains_key("data/kept.parquet"), - "non-evicted prefix must still appear after recovery"); + let cache2 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + !cache2.key_index.contains_key("data/evicted.parquet"), + "evicted prefix must not appear in recovered key_index" + ); + assert!( + cache2.key_index.contains_key("data/kept.parquet"), + "non-evicted prefix must still appear after recovery" + ); } /// clear() deletes key_index.json so the next startup does not load stale keys. @@ -2096,24 +3025,63 @@ fn recovery_clear_deletes_snapshot_file() { // Create and drop a cache to write key_index.json. { - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); put_range(&cache, "/data/file.parquet", 0, 100, b"data"); // Drop writes key_index.json. } - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must exist after first Drop"); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must exist after first Drop" + ); // Create a second cache and call clear(). { - let cache2 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache2 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); block_on(cache2.clear()); // Drop of cache2 writes an empty key_index.json (empty key_index after clear). } // Third instance: must start with an empty key_index (clear deleted the stale snapshot). - let cache3 = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); - assert!(cache3.key_index.is_empty(), - "key_index must be empty after clear() deleted the snapshot"); + let cache3 = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + cache3.key_index.is_empty(), + "key_index must be empty after clear() deleted the snapshot" + ); } // ── Periodic persist task tests ────────────────────────────────────────────── @@ -2131,10 +3099,15 @@ fn persist_task_writes_snapshot_within_interval() { { // persist_interval=1s: task should fire within ~2s of a put(). let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, // sweep disabled - 0.0, // threshold disabled - 1, // persist every 1 second + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, // sweep disabled + 0.0, // threshold disabled + 1, // persist every 1 second false, ); put_range(&cache, "/data/periodic.parquet", 0, 512, &vec![0u8; 512]); @@ -2142,7 +3115,11 @@ fn persist_task_writes_snapshot_within_interval() { // Poll for key_index.json to appear (written by the persist task, not Drop). let deadline = std::time::Instant::now() + std::time::Duration::from_secs(5); let appeared = loop { - if dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists() { + if dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists() + { break true; } if std::time::Instant::now() >= deadline { @@ -2150,10 +3127,14 @@ fn persist_task_writes_snapshot_within_interval() { } std::thread::sleep(std::time::Duration::from_millis(100)); }; - assert!(appeared, "key_index.json must be written by persist task within 5s"); + assert!( + appeared, + "key_index.json must be written by persist task within 5s" + ); // Verify the content is valid (not just an empty file). - let contents = std::fs::read_to_string(dir.path().join(key_index_store::KEY_INDEX_FILENAME)).unwrap(); + let contents = + std::fs::read_to_string(dir.path().join(key_index_store::KEY_INDEX_FILENAME)).unwrap(); let snap: serde_json::Value = serde_json::from_str(&contents).unwrap(); assert_eq!(snap["version"], 1, "snapshot must have version=1"); let index = snap["index"].as_object().unwrap(); @@ -2174,30 +3155,54 @@ fn persist_task_does_not_fire_when_cache_idle() { { // persist_interval=1s let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 1, + false, ); // Single put to trigger the first persist. put_range(&cache, "/data/idle.parquet", 0, 100, &vec![0u8; 100]); // Wait for the first persist (sentinel → current triggers it). let deadline = std::time::Instant::now() + std::time::Duration::from_secs(5); - while !dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists() { - if std::time::Instant::now() >= deadline { break; } + while !dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists() + { + if std::time::Instant::now() >= deadline { + break; + } std::thread::sleep(std::time::Duration::from_millis(100)); } - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "first persist must have fired"); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "first persist must have fired" + ); // Record mtime after first persist. - let mtime_after_first = std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) - .unwrap().modified().unwrap(); + let mtime_after_first = + std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) + .unwrap() + .modified() + .unwrap(); // Wait 2.5 intervals with NO new puts — used_bytes is unchanged so persist must NOT fire. std::thread::sleep(std::time::Duration::from_millis(2500)); - let mtime_after_idle = std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) - .unwrap().modified().unwrap(); + let mtime_after_idle = + std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) + .unwrap() + .modified() + .unwrap(); assert_eq!(mtime_after_first, mtime_after_idle, "persist task must NOT rewrite key_index.json when cache is idle (used_bytes unchanged)"); @@ -2210,33 +3215,59 @@ fn persist_task_fires_after_evict_prefix_changes_used_bytes() { let dir = TempDir::new().unwrap(); { let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 1, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 1, + false, ); put_range(&cache, "/data/evict_me.parquet", 0, 512, &vec![0u8; 512]); - put_range(&cache, "/data/keep_me.parquet", 0, 512, &vec![0u8; 512]); + put_range(&cache, "/data/keep_me.parquet", 0, 512, &vec![0u8; 512]); // Wait for first persist (sentinel fires on first tick). let deadline = std::time::Instant::now() + std::time::Duration::from_secs(5); - while !dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists() { - if std::time::Instant::now() >= deadline { break; } + while !dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists() + { + if std::time::Instant::now() >= deadline { + break; + } std::thread::sleep(std::time::Duration::from_millis(100)); } // Evict one prefix — changes used_bytes so next tick must persist. cache.evict_prefix("/data/evict_me.parquet"); - let used_after_evict = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert!(used_after_evict < 1024, "used_bytes must decrease after evict"); + let used_after_evict = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + used_after_evict < 1024, + "used_bytes must decrease after evict" + ); let mtime_before = std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) - .unwrap().modified().unwrap(); + .unwrap() + .modified() + .unwrap(); // Wait up to 3 intervals for the next persist. std::thread::sleep(std::time::Duration::from_millis(3000)); let mtime_after = std::fs::metadata(dir.path().join(key_index_store::KEY_INDEX_FILENAME)) - .unwrap().modified().unwrap(); - assert!(mtime_after > mtime_before, - "persist task must rewrite key_index.json after evict_prefix() changed used_bytes"); + .unwrap() + .modified() + .unwrap(); + assert!( + mtime_after > mtime_before, + "persist task must rewrite key_index.json after evict_prefix() changed used_bytes" + ); } } @@ -2248,23 +3279,37 @@ fn persist_task_not_spawned_when_interval_is_zero() { { // persist_interval=0: only Drop persists. let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, - 0, // disabled + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, // disabled false, ); put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); // Wait 2 seconds — file must NOT appear (no persist task). std::thread::sleep(std::time::Duration::from_millis(2000)); - assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must NOT exist while cache is alive with persist_interval=0"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must NOT exist while cache is alive with persist_interval=0" + ); // Drop is called here — final persist happens. } // After Drop, key_index.json must exist. - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must be written by Drop even when persist task is disabled"); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must be written by Drop even when persist task is disabled" + ); } /// CR-05 simulation: simulate a crash by using `std::mem::forget` to prevent Drop. @@ -2278,30 +3323,62 @@ fn simulated_crash_skip_drop_no_final_persist() { // Build a cache with persist_interval=0 (no periodic persist either). // This simulates a node with only Drop-based persistence. let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, ); put_range(&cache, "/data/crash.parquet", 0, 512, &vec![0u8; 512]); // key_index.json does NOT exist yet (no periodic persist, Drop not called). - assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must not exist before Drop"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must not exist before Drop" + ); // Simulate crash: forget the cache — Drop is NOT called. std::mem::forget(cache); // key_index.json must still NOT exist (Drop was skipped). - assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must not exist after simulated crash (Drop skipped)"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must not exist after simulated crash (Drop skipped)" + ); // Next startup: key_index starts empty (clean startup path). let cache2 = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + cache2.key_index.is_empty(), + "key_index must be empty after simulated crash with no prior snapshot" + ); + assert_eq!( + cache2 + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 ); - assert!(cache2.key_index.is_empty(), - "key_index must be empty after simulated crash with no prior snapshot"); - assert_eq!(cache2.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); } /// GS-03 / GS-04: verify key_index.json content is valid JSON with correct version and index. @@ -2310,27 +3387,58 @@ fn graceful_shutdown_snapshot_is_valid_json_with_correct_content() { let dir = TempDir::new().unwrap(); { let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + put_range( + &cache, + "/data/nodes/0/shard1.parquet", + 0, + 256, + &vec![0u8; 256], + ); + put_range( + &cache, + "/data/nodes/0/shard1.parquet", + 256, + 512, + &vec![0u8; 256], + ); + put_range( + &cache, + "/data/nodes/0/shard2.parquet", + 0, + 128, + &vec![0u8; 128], ); - put_range(&cache, "/data/nodes/0/shard1.parquet", 0, 256, &vec![0u8; 256]); - put_range(&cache, "/data/nodes/0/shard1.parquet", 256, 512, &vec![0u8; 256]); - put_range(&cache, "/data/nodes/0/shard2.parquet", 0, 128, &vec![0u8; 128]); // Drop writes key_index.json. } let path = dir.path().join(key_index_store::KEY_INDEX_FILENAME); - assert!(path.exists(), "key_index.json must exist after graceful shutdown"); + assert!( + path.exists(), + "key_index.json must exist after graceful shutdown" + ); let contents = std::fs::read_to_string(&path).unwrap(); assert!(!contents.is_empty(), "key_index.json must not be empty"); // Parse and validate structure. - let parsed: serde_json::Value = serde_json::from_str(&contents) - .expect("key_index.json must be valid JSON"); + let parsed: serde_json::Value = + serde_json::from_str(&contents).expect("key_index.json must be valid JSON"); assert_eq!(parsed["version"], 1, "version must be 1"); - let index = parsed["index"].as_object().expect("index must be a JSON object"); + let index = parsed["index"] + .as_object() + .expect("index must be a JSON object"); assert_eq!(index.len(), 2, "must have 2 prefix buckets"); // shard1 should have 2 keys, shard2 should have 1. @@ -2346,16 +3454,32 @@ fn no_tmp_file_left_after_graceful_shutdown() { let dir = TempDir::new().unwrap(); { let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, ); put_range(&cache, "/data/file.parquet", 0, 100, &vec![0u8; 100]); // Drop writes and renames. } - assert!(!dir.path().join(key_index_store::KEY_INDEX_TMP_FILENAME).exists(), - ".key_index.json.tmp must not exist after graceful shutdown (rename completed)"); - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), - "key_index.json must exist after graceful shutdown"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_TMP_FILENAME) + .exists(), + ".key_index.json.tmp must not exist after graceful shutdown (rename completed)" + ); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "key_index.json must exist after graceful shutdown" + ); } /// VM-03: zero-byte key_index.json → treated as corrupt → clean startup. @@ -2366,12 +3490,28 @@ fn zero_byte_snapshot_file_treated_as_corrupt() { std::fs::write(dir.path().join(key_index_store::KEY_INDEX_FILENAME), b"").unwrap(); let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); + assert!( + cache.key_index.is_empty(), + "zero-byte snapshot must produce empty key_index (clean startup)" + ); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0 ); - assert!(cache.key_index.is_empty(), - "zero-byte snapshot must produce empty key_index (clean startup)"); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0); // Cache must be fully functional. put_range(&cache, "/data/file.parquet", 0, 100, b"data"); assert!(cache.key_index.contains_key("data/file.parquet")); @@ -2382,19 +3522,41 @@ fn zero_byte_snapshot_file_treated_as_corrupt() { fn no_tmp_file_on_clean_startup() { let dir = TempDir::new().unwrap(); // Verify neither file exists before creating the cache. - assert!(!dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists()); - assert!(!dir.path().join(key_index_store::KEY_INDEX_TMP_FILENAME).exists()); + assert!(!dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists()); + assert!(!dir + .path() + .join(key_index_store::KEY_INDEX_TMP_FILENAME) + .exists()); let cache = FoyerCache::new( - TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, - 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, ); // On startup, no .tmp should be created or left behind. - assert!(!dir.path().join(key_index_store::KEY_INDEX_TMP_FILENAME).exists(), - ".key_index.json.tmp must not exist after clean startup"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_TMP_FILENAME) + .exists(), + ".key_index.json.tmp must not exist after clean startup" + ); drop(cache); - assert!(!dir.path().join(key_index_store::KEY_INDEX_TMP_FILENAME).exists(), - ".key_index.json.tmp must not exist after graceful shutdown"); + assert!( + !dir.path() + .join(key_index_store::KEY_INDEX_TMP_FILENAME) + .exists(), + ".key_index.json.tmp must not exist after graceful shutdown" + ); } /// Stale entries in the recovered snapshot (keys that Foyer did not recover due @@ -2408,8 +3570,8 @@ fn no_tmp_file_on_clean_startup() { /// parses cleanly, and contains every prefix that was inserted. #[test] fn key_index_serialization_with_10k_entries() { - use std::collections::HashSet; use dashmap::DashMap; + use std::collections::HashSet; let dir = TempDir::new().unwrap(); const NUM_PREFIXES: usize = 100; @@ -2431,22 +3593,32 @@ fn key_index_serialization_with_10k_entries() { // Load back and verify. let loaded = key_index_store::load_or_empty(dir.path()); - assert_eq!(loaded.index.len(), NUM_PREFIXES, "must have {NUM_PREFIXES} prefix buckets"); + assert_eq!( + loaded.index.len(), + NUM_PREFIXES, + "must have {NUM_PREFIXES} prefix buckets" + ); let total_keys: usize = loaded.index.values().map(|v| v.len()).sum(); - assert_eq!(total_keys, expected_total, "must have {expected_total} total keys"); + assert_eq!( + total_keys, expected_total, + "must have {expected_total} total keys" + ); // The file itself must be readable JSON above a minimum size. let path = dir.path().join(key_index_store::KEY_INDEX_FILENAME); let bytes = std::fs::metadata(&path).unwrap().len(); - assert!(bytes > 100_000, "key_index.json must be > 100KB for 10k entries, got {bytes}"); + assert!( + bytes > 100_000, + "key_index.json must be > 100KB for 10k entries, got {bytes}" + ); } /// Build a 10k-entry snapshot, write it to disk, then create a new FoyerCache /// over the same dir — verify the key_index is bulk-loaded correctly. #[test] fn key_index_recovery_with_10k_entries() { - use std::collections::HashSet; use dashmap::DashMap; + use std::collections::HashSet; let dir = TempDir::new().unwrap(); const NUM_PREFIXES: usize = 100; @@ -2464,13 +3636,31 @@ fn key_index_recovery_with_10k_entries() { key_index_store::save(dir.path(), &dash).unwrap(); // Create a new cache from the same dir — should bulk-load the snapshot. - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); - assert_eq!(cache.key_index.len(), NUM_PREFIXES, - "key_index must have {NUM_PREFIXES} buckets after recovery"); + assert_eq!( + cache.key_index.len(), + NUM_PREFIXES, + "key_index must have {NUM_PREFIXES} buckets after recovery" + ); let total_keys: usize = cache.key_index.iter().map(|e| e.value().len()).sum(); - assert_eq!(total_keys, NUM_PREFIXES * KEYS_PER_PREFIX, - "must have {} total keys after recovery", NUM_PREFIXES * KEYS_PER_PREFIX); + assert_eq!( + total_keys, + NUM_PREFIXES * KEYS_PER_PREFIX, + "must have {} total keys after recovery", + NUM_PREFIXES * KEYS_PER_PREFIX + ); } /// Populate 10k entries directly into the key_index (simulating cache puts), @@ -2478,7 +3668,18 @@ fn key_index_recovery_with_10k_entries() { #[test] fn key_index_evict_prefix_bulk_with_10k_entries() { let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); const NUM_PREFIXES: usize = 100; const KEYS_PER_PREFIX: usize = 100; @@ -2490,13 +3691,25 @@ fn key_index_evict_prefix_bulk_with_10k_entries() { let keys: HashSet = (0..KEYS_PER_PREFIX) .map(|k| format!("{prefix}\x1F{}-{}", k * 4096, (k + 1) * 4096)) .collect(); - let byte_size: i64 = keys.iter().map(|k| crate::range_cache::key_byte_size(k)).sum(); + let byte_size: i64 = keys + .iter() + .map(|k| crate::range_cache::key_byte_size(k)) + .sum(); cache.key_index.insert(prefix, keys); - cache.stats.used_bytes.fetch_add(byte_size, std::sync::atomic::Ordering::Relaxed); + cache + .stats + .used_bytes + .fetch_add(byte_size, std::sync::atomic::Ordering::Relaxed); } - let used_before = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert!(used_before > 0, "used_bytes must be > 0 after populating {NUM_PREFIXES} prefixes"); + let used_before = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + used_before > 0, + "used_bytes must be > 0 after populating {NUM_PREFIXES} prefixes" + ); // Evict first 50 prefixes. for p in 0..NUM_PREFIXES / 2 { @@ -2504,10 +3717,20 @@ fn key_index_evict_prefix_bulk_with_10k_entries() { cache.evict_prefix(&prefix); } - let used_after = cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed); - assert!(used_after < used_before, "used_bytes must decrease after bulk evict_prefix"); - assert_eq!(cache.key_index.len(), NUM_PREFIXES / 2, - "key_index must have {} buckets after evicting half", NUM_PREFIXES / 2); + let used_after = cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed); + assert!( + used_after < used_before, + "used_bytes must decrease after bulk evict_prefix" + ); + assert_eq!( + cache.key_index.len(), + NUM_PREFIXES / 2, + "key_index must have {} buckets after evicting half", + NUM_PREFIXES / 2 + ); } /// Populate 10k entries, call clear(), verify the key_index is empty and @@ -2517,7 +3740,18 @@ fn key_index_clear_with_10k_entries() { use std::collections::HashSet; let dir = TempDir::new().unwrap(); - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); const NUM_PREFIXES: usize = 100; const KEYS_PER_PREFIX: usize = 100; @@ -2527,24 +3761,48 @@ fn key_index_clear_with_10k_entries() { let keys: HashSet = (0..KEYS_PER_PREFIX) .map(|k| format!("{prefix}\x1F{}-{}", k * 4096, (k + 1) * 4096)) .collect(); - let byte_size: i64 = keys.iter().map(|k| crate::range_cache::key_byte_size(k)).sum(); + let byte_size: i64 = keys + .iter() + .map(|k| crate::range_cache::key_byte_size(k)) + .sum(); cache.key_index.insert(prefix, keys); - cache.stats.used_bytes.fetch_add(byte_size, std::sync::atomic::Ordering::Relaxed); + cache + .stats + .used_bytes + .fetch_add(byte_size, std::sync::atomic::Ordering::Relaxed); } // Persist first so there's a file to delete. key_index_store::save(&dir.path(), &cache.key_index).unwrap(); - assert!(dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(), "file must exist before clear"); + assert!( + dir.path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(), + "file must exist before clear" + ); // Clear via the public async API. block_on(cache.clear()); - assert_eq!(cache.key_index.len(), 0, "key_index must be empty after clear"); - assert_eq!(cache.stats.used_bytes.load(std::sync::atomic::Ordering::Relaxed), 0, - "used_bytes must be 0 after clear"); + assert_eq!( + cache.key_index.len(), + 0, + "key_index must be empty after clear" + ); + assert_eq!( + cache + .stats + .used_bytes + .load(std::sync::atomic::Ordering::Relaxed), + 0, + "used_bytes must be 0 after clear" + ); // After clear() the key_index.json is deleted; Drop will write an empty one. // Assert it is absent while the cache is still alive (before Drop). - let snap_exists = dir.path().join(key_index_store::KEY_INDEX_FILENAME).exists(); + let snap_exists = dir + .path() + .join(key_index_store::KEY_INDEX_FILENAME) + .exists(); // clear() calls key_index_store::delete() which removes the file. assert!(!snap_exists, "key_index.json must be deleted by clear()"); } @@ -2566,22 +3824,41 @@ fn recovery_stale_snapshot_keys_cleaned_by_sweep() { ); let snap = key_index_store::KeyIndexSnapshot { version: 1, index }; let json = serde_json::to_string(&snap).unwrap(); - std::fs::write(dir.path().join(key_index_store::KEY_INDEX_FILENAME), json.as_bytes()).unwrap(); + std::fs::write( + dir.path().join(key_index_store::KEY_INDEX_FILENAME), + json.as_bytes(), + ) + .unwrap(); } // Create a fresh Foyer cache over the same dir. Foyer has no data for "data/stale.parquet". - let cache = FoyerCache::new(TEST_CACHE_DISK_BYTES, dir.path(), TEST_CACHE_BLOCK_SIZE, TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, IO_ENGINE, 0, 0.0, 0, false); + let cache = FoyerCache::new( + TEST_CACHE_DISK_BYTES, + dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, + ); // Bulk-loaded snapshot has the stale key — used_bytes is temporarily over-counted. - assert!(cache.key_index.contains_key("data/stale.parquet"), - "stale key must be present immediately after bulk-load recovery"); + assert!( + cache.key_index.contains_key("data/stale.parquet"), + "stale key must be present immediately after bulk-load recovery" + ); // After sweeping all shards, the stale key is removed (inner.contains() returns false). let shard_count = cache.key_index.shards().len(); let removed: usize = (0..shard_count).map(|_| cache.sweep_once()).sum(); assert_eq!(removed, 1, "sweep must remove the 1 stale key"); - assert!(!cache.key_index.contains_key("data/stale.parquet"), - "stale key must be gone after sweep"); + assert!( + !cache.key_index.contains_key("data/stale.parquet"), + "stale key must be gone after sweep" + ); } // ── TieredBlockCache tests ────────────────────────────────────────────────────── @@ -2593,14 +3870,28 @@ fn tiered_test_cache() -> (TieredBlockCache, TempDir, TempDir) { let data_dir = TempDir::new().expect("data temp dir"); let meta_dir = TempDir::new().expect("metadata temp dir"); let data_cache = Arc::new(FoyerCache::new( - TEST_CACHE_DISK_BYTES, data_dir.path(), TEST_CACHE_BLOCK_SIZE, - TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, - IO_ENGINE, 0, 0.0, 0, false, + TEST_CACHE_DISK_BYTES, + data_dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + false, )); let metadata_cache = Arc::new(FoyerCache::new( - TEST_CACHE_DISK_BYTES, meta_dir.path(), TEST_CACHE_BLOCK_SIZE, - TEST_BUFFER_POOL_SIZE, TEST_SUBMIT_QUEUE_SIZE, - IO_ENGINE, 0, 0.0, 0, true, + TEST_CACHE_DISK_BYTES, + meta_dir.path(), + TEST_CACHE_BLOCK_SIZE, + TEST_BUFFER_POOL_SIZE, + TEST_SUBMIT_QUEUE_SIZE, + IO_ENGINE, + 0, + 0.0, + 0, + true, )); let tiered = TieredBlockCache::new(data_cache, metadata_cache); (tiered, data_dir, meta_dir) @@ -2618,8 +3909,14 @@ fn tiered_cache_put_metadata_routes_to_metadata_cache() { tiered.put_metadata(&col_idx_key, Bytes::from_static(b"column_index_bytes")); // get() probes metadata cache first → hit - assert_eq!(block_on(tiered.get(&footer_key)).as_deref(), Some(b"footer_bytes".as_slice())); - assert_eq!(block_on(tiered.get(&col_idx_key)).as_deref(), Some(b"column_index_bytes".as_slice())); + assert_eq!( + block_on(tiered.get(&footer_key)).as_deref(), + Some(b"footer_bytes".as_slice()) + ); + assert_eq!( + block_on(tiered.get(&col_idx_key)).as_deref(), + Some(b"column_index_bytes".as_slice()) + ); // Verify metadata is in metadata_cache, not data_cache assert!(block_on(tiered.metadata_cache().get(&footer_key)).is_some()); @@ -2635,7 +3932,10 @@ fn tiered_cache_put_routes_to_data_cache() { tiered.put(&col_a_key, Bytes::from_static(b"col_a_data")); // get() misses metadata cache, hits data cache - assert_eq!(block_on(tiered.get(&col_a_key)).as_deref(), Some(b"col_a_data".as_slice())); + assert_eq!( + block_on(tiered.get(&col_a_key)).as_deref(), + Some(b"col_a_data".as_slice()) + ); // Verify data is in data_cache only assert!(block_on(tiered.data_cache().get(&col_a_key)).is_some()); @@ -2653,7 +3953,10 @@ fn tiered_cache_get_finds_metadata_without_reregistration() { tiered.put_metadata(&key, Bytes::from_static(b"old_footer")); // get() finds it — no re-registration needed (metadata cache probed first) - assert_eq!(block_on(tiered.get(&key)).as_deref(), Some(b"old_footer".as_slice())); + assert_eq!( + block_on(tiered.get(&key)).as_deref(), + Some(b"old_footer".as_slice()) + ); } /// On a data key miss (not in either cache), metadata cache is still probed @@ -2683,18 +3986,30 @@ fn tiered_cache_full_datafusion_query_simulation() { tiered.put_metadata(&col_idx_key, Bytes::from(vec![0xC; 500_000])); // ── Query: metadata reads → hit (metadata cache probed first) ──── - assert!(block_on(tiered.get(&footer_key)).is_some(), "footer must hit"); - assert!(block_on(tiered.get(&col_idx_key)).is_some(), "column index must hit"); + assert!( + block_on(tiered.get(&footer_key)).is_some(), + "footer must hit" + ); + assert!( + block_on(tiered.get(&col_idx_key)).is_some(), + "column index must hit" + ); // ── Query: data read → miss first time ─────────────────────────── let data_key = range_cache_key(path, 0, 2_000_000); - assert!(block_on(tiered.get(&data_key)).is_none(), "data miss on first access"); + assert!( + block_on(tiered.get(&data_key)).is_none(), + "data miss on first access" + ); // ── S3 fetch → populate_cache → put() → data cache ────────────── tiered.put(&data_key, Bytes::from(vec![0xAA; 2_000_000])); // ── Query 2: same data → hit from data cache ───────────────────── - assert_eq!(block_on(tiered.get(&data_key)).map(|b| b.len()), Some(2_000_000)); + assert_eq!( + block_on(tiered.get(&data_key)).map(|b| b.len()), + Some(2_000_000) + ); // ── Verify isolation ───────────────────────────────────────────── assert!(block_on(tiered.metadata_cache().get(&footer_key)).is_some()); @@ -2709,8 +4024,14 @@ fn tiered_cache_evict_prefix_cleans_both_caches() { let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); let path = "seg0/_0.parquet"; - tiered.put_metadata(&range_cache_key(path, 9000000, 10000000), Bytes::from_static(b"meta")); - tiered.put(&range_cache_key(path, 0, 1000000), Bytes::from_static(b"data")); + tiered.put_metadata( + &range_cache_key(path, 9000000, 10000000), + Bytes::from_static(b"meta"), + ); + tiered.put( + &range_cache_key(path, 0, 1000000), + Bytes::from_static(b"data"), + ); tiered.evict_prefix(path); @@ -2731,7 +4052,10 @@ fn tiered_cache_multiple_shards_are_independent() { tiered.evict_prefix("seg0/"); assert!(block_on(tiered.get(&s0)).is_none()); - assert_eq!(block_on(tiered.get(&s1)).as_deref(), Some(b"shard1".as_slice())); + assert_eq!( + block_on(tiered.get(&s1)).as_deref(), + Some(b"shard1".as_slice()) + ); } /// Metadata hit does not touch data cache SSD. @@ -2749,8 +4073,14 @@ fn tiered_cache_metadata_hit_never_probes_data_ssd() { assert!(result.is_some()); // Data cache untouched - assert_eq!(tiered.data_cache().stats.hit_count.load(Ordering::Relaxed), data_hits_before); - assert_eq!(tiered.data_cache().stats.miss_count.load(Ordering::Relaxed), data_misses_before); + assert_eq!( + tiered.data_cache().stats.hit_count.load(Ordering::Relaxed), + data_hits_before + ); + assert_eq!( + tiered.data_cache().stats.miss_count.load(Ordering::Relaxed), + data_misses_before + ); } /// Key alignment: exact range match = hit, subset/superset = miss. @@ -2762,13 +4092,19 @@ fn tiered_cache_key_alignment_warmup_matches_query() { tiered.put_metadata(&key, Bytes::from(vec![0xC; 500_000])); // Exact same range → hit - assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_500_000))).is_some()); + assert!( + block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_500_000))).is_some() + ); // Subset → miss (different key) - assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_250_000))).is_none()); + assert!( + block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 8_000_000, 8_250_000))).is_none() + ); // Superset → miss (different key) - assert!(block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 7_500_000, 9_000_000))).is_none()); + assert!( + block_on(tiered.get(&range_cache_key("seg0/_0.parquet", 7_500_000, 9_000_000))).is_none() + ); } /// put_metadata() skips entries larger than max_metadata_entry_size — oversized @@ -2782,15 +4118,22 @@ fn tiered_cache_put_metadata_skips_oversized_entry() { let big_key = range_cache_key("seg0/_0.parquet", 0, 4096); tiered.put_metadata(&big_key, Bytes::from(vec![0xAB; 4096])); // 4KB > 2KB → skipped - assert!(block_on(tiered.get(&big_key)).is_none(), - "metadata entry exceeding max_metadata_entry_size must not be cached"); - assert!(block_on(tiered.metadata_cache().get(&big_key)).is_none(), - "oversized metadata must not reach the metadata tier"); + assert!( + block_on(tiered.get(&big_key)).is_none(), + "metadata entry exceeding max_metadata_entry_size must not be cached" + ); + assert!( + block_on(tiered.metadata_cache().get(&big_key)).is_none(), + "oversized metadata must not reach the metadata tier" + ); let small_key = range_cache_key("seg0/_0.parquet", 0, 1024); tiered.put_metadata(&small_key, Bytes::from(vec![0xCD; 1024])); // 1KB <= 2KB → cached - assert_eq!(block_on(tiered.get(&small_key)).map(|b| b.len()), Some(1024), - "metadata entry within the limit must be cached"); + assert_eq!( + block_on(tiered.get(&small_key)).map(|b| b.len()), + Some(1024), + "metadata entry within the limit must be cached" + ); assert!(block_on(tiered.metadata_cache().get(&small_key)).is_some()); } @@ -2801,17 +4144,25 @@ fn tiered_cache_put_skips_oversized_data_entry() { let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); tiered.update_max_data_entry_size(2048); - assert_eq!(tiered.max_data_entry_size(), 2048, "getter must reflect the updated bound"); + assert_eq!( + tiered.max_data_entry_size(), + 2048, + "getter must reflect the updated bound" + ); let big_key = range_cache_key("seg0/_0.parquet", 0, 4096); tiered.put(&big_key, Bytes::from(vec![0xAB; 4096])); // 4KB > 2KB → skipped - assert!(block_on(tiered.get(&big_key)).is_none(), - "data entry exceeding max_data_entry_size must not be cached"); + assert!( + block_on(tiered.get(&big_key)).is_none(), + "data entry exceeding max_data_entry_size must not be cached" + ); let small_key = range_cache_key("seg0/_0.parquet", 4096, 5120); tiered.put(&small_key, Bytes::from(vec![0xCD; 1024])); // 1KB <= 2KB → cached - assert!(block_on(tiered.data_cache().get(&small_key)).is_some(), - "data entry within the limit must be cached"); + assert!( + block_on(tiered.data_cache().get(&small_key)).is_some(), + "data entry within the limit must be cached" + ); } /// Size bounds update dynamically — raising the limit admits a previously @@ -2825,13 +4176,19 @@ fn tiered_cache_size_bound_update_takes_effect_immediately() { // Tight bound → rejected. tiered.update_max_data_entry_size(1024); tiered.put(&key, Bytes::from(vec![0x11; 4096])); - assert!(block_on(tiered.get(&key)).is_none(), "4KB rejected under 1KB bound"); + assert!( + block_on(tiered.get(&key)).is_none(), + "4KB rejected under 1KB bound" + ); // Raise the bound → same entry now admitted. tiered.update_max_data_entry_size(8192); tiered.put(&key, Bytes::from(vec![0x22; 4096])); - assert_eq!(block_on(tiered.get(&key)).map(|b| b.len()), Some(4096), - "4KB admitted after raising bound to 8KB"); + assert_eq!( + block_on(tiered.get(&key)).map(|b| b.len()), + Some(4096), + "4KB admitted after raising bound to 8KB" + ); } /// clear_sync() empties both tiers. This is the production entry point @@ -2842,15 +4199,35 @@ fn tiered_cache_clear_empties_both_tiers() { let (tiered, _data_dir, _meta_dir) = tiered_test_cache(); let path = "seg0/_0.parquet"; - tiered.put_metadata(&range_cache_key(path, 9_000_000, 10_000_000), Bytes::from_static(b"meta")); - tiered.put(&range_cache_key(path, 0, 1_000_000), Bytes::from_static(b"data")); + tiered.put_metadata( + &range_cache_key(path, 9_000_000, 10_000_000), + Bytes::from_static(b"meta"), + ); + tiered.put( + &range_cache_key(path, 0, 1_000_000), + Bytes::from_static(b"data"), + ); tiered.clear_sync(); - assert!(block_on(tiered.metadata_cache().get(&range_cache_key(path, 9_000_000, 10_000_000))).is_none(), - "metadata tier must be empty after clear_sync()"); - assert!(block_on(tiered.data_cache().get(&range_cache_key(path, 0, 1_000_000))).is_none(), - "data tier must be empty after clear_sync()"); + assert!( + block_on( + tiered + .metadata_cache() + .get(&range_cache_key(path, 9_000_000, 10_000_000)) + ) + .is_none(), + "metadata tier must be empty after clear_sync()" + ); + assert!( + block_on( + tiered + .data_cache() + .get(&range_cache_key(path, 0, 1_000_000)) + ) + .is_none(), + "data tier must be empty after clear_sync()" + ); } /// A single-tier FoyerCache (metadata_cache_ratio=0) inherits the @@ -2865,6 +4242,9 @@ fn foyer_cache_put_metadata_default_routes_to_put() { let key = range_cache_key("seg0/_0.parquet", 0, 64); dyn_cache.put_metadata(&key, Bytes::from_static(b"footer")); - assert_eq!(block_on(dyn_cache.get(&key)).as_deref(), Some(b"footer".as_slice()), - "put_metadata default must route to the single cache and be retrievable via get()"); + assert_eq!( + block_on(dyn_cache.get(&key)).as_deref(), + Some(b"footer".as_slice()), + "put_metadata default must route to the single cache and be retrievable via get()" + ); } diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs index bea2abf4dcdef..c3291996dcce6 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/tiered_block_cache.rs @@ -25,8 +25,8 @@ //! via `RecoverMode::Quiet`. After restart, `get()` probes metadata cache first //! and finds the recovered entries — zero S3 calls for metadata. -use std::sync::Arc; use std::sync::atomic::{AtomicU64, Ordering}; +use std::sync::Arc; use bytes::Bytes; @@ -98,7 +98,8 @@ impl TieredBlockCache { pub fn update_max_metadata_entry_size(&self, size: u64) { self.max_metadata_entry_size.store(size, Ordering::Relaxed); native_bridge_common::log_info!( - "[tiered-block-cache] max_metadata_entry_size updated to {}B", size + "[tiered-block-cache] max_metadata_entry_size updated to {}B", + size ); } @@ -106,7 +107,8 @@ impl TieredBlockCache { pub fn update_max_data_entry_size(&self, size: u64) { self.max_data_entry_size.store(size, Ordering::Relaxed); native_bridge_common::log_info!( - "[tiered-block-cache] max_data_entry_size updated to {}B", size + "[tiered-block-cache] max_data_entry_size updated to {}B", + size ); } @@ -145,9 +147,10 @@ impl BlockCache for TieredBlockCache { self } - fn get<'a>(&'a self, key: &'a CacheKey) - -> std::pin::Pin> + Send + 'a>> - { + fn get<'a>( + &'a self, + key: &'a CacheKey, + ) -> std::pin::Pin> + Send + 'a>> { Box::pin(async move { // Metadata cache first — small SSD, fast probe, never evicts. // On warm restart, Foyer recovers these from disk — instant hit. diff --git a/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs b/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs index 226005cff75cd..cc7d7e51123cf 100644 --- a/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs +++ b/sandbox/plugins/block-cache-foyer/src/main/rust/src/traits.rs @@ -8,8 +8,8 @@ //! [`BlockCache`] trait — the abstraction for disk caching with typed keys. -use bytes::Bytes; use crate::range_cache::CacheKey; +use bytes::Bytes; /// A disk block cache. /// @@ -28,8 +28,10 @@ use crate::range_cache::CacheKey; pub trait BlockCache: Send + Sync + std::any::Any { /// Look up a cached entry. Returns `Some(Bytes)` on hit, `None` on miss. fn as_any(&self) -> &dyn std::any::Any; - fn get<'a>(&'a self, key: &'a CacheKey) - -> std::pin::Pin> + Send + 'a>>; + fn get<'a>( + &'a self, + key: &'a CacheKey, + ) -> std::pin::Pin> + Send + 'a>>; /// Insert bytes under the given key (data cache — evictable by LRU). fn put(&self, key: &CacheKey, data: Bytes); diff --git a/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs b/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs index 960ac6947e5ec..49f73747d6188 100644 --- a/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs +++ b/sandbox/plugins/native-repository-azure/src/main/rust/src/azure.rs @@ -55,8 +55,12 @@ pub fn build( if config.max_retries.is_some() || config.retry_timeout_ms.is_some() { let mut retry = RetryConfig::default(); - if let Some(m) = config.max_retries { retry.max_retries = m; } - if let Some(ms) = config.retry_timeout_ms { retry.retry_timeout = Duration::from_millis(ms); } + if let Some(m) = config.max_retries { + retry.max_retries = m; + } + if let Some(ms) = config.retry_timeout_ms { + retry.retry_timeout = Duration::from_millis(ms); + } builder = builder.with_retry(retry); } @@ -66,8 +70,8 @@ pub fn build( // its completion work (TLS, body assembly) off the CPU runtime that drives // query decode. No-op when no IO runtime is installed (e.g. unit tests). if let Some(io) = native_bridge_common::io_runtime::io_handle() { - builder = builder - .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + builder = + builder.with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); } Ok(Arc::new(builder.build()?)) diff --git a/sandbox/plugins/native-repository-azure/src/main/rust/src/lib.rs b/sandbox/plugins/native-repository-azure/src/main/rust/src/lib.rs index e66ea544a310a..96c2614721b2c 100644 --- a/sandbox/plugins/native-repository-azure/src/main/rust/src/lib.rs +++ b/sandbox/plugins/native-repository-azure/src/main/rust/src/lib.rs @@ -16,8 +16,8 @@ pub mod azure; pub use azure::build; pub use azure::AzureConfig; -use std::sync::Arc; use object_store::ObjectStore; +use std::sync::Arc; /// Create an Azure [`ObjectStore`] from JSON config and return a boxed Arc pointer. /// @@ -40,7 +40,12 @@ pub unsafe extern "C" fn azure_create_store( let config_json = std::str::from_utf8(bytes).map_err(|e| format!("invalid UTF-8: {}", e))?; let credentials = if cred_provider_ptr != 0 { let provider = Box::from_raw( - cred_provider_ptr as *mut Arc>, + cred_provider_ptr + as *mut Arc< + dyn object_store::CredentialProvider< + Credential = object_store::azure::AzureCredential, + >, + >, ); Some(*provider) } else { @@ -56,7 +61,9 @@ pub unsafe extern "C" fn azure_create_store( #[native_bridge_common::ffm_safe] #[no_mangle] pub unsafe extern "C" fn azure_destroy_store(ptr: i64) -> i64 { - if ptr == 0 { return Err("azure_destroy_store: null pointer".to_string()); } + if ptr == 0 { + return Err("azure_destroy_store: null pointer".to_string()); + } let _: Box> = Box::from_raw(ptr as *mut Arc); Ok(0) } diff --git a/sandbox/plugins/native-repository-fs/src/main/rust/src/fs.rs b/sandbox/plugins/native-repository-fs/src/main/rust/src/fs.rs index 3d943e678c165..890a7e5e22d69 100644 --- a/sandbox/plugins/native-repository-fs/src/main/rust/src/fs.rs +++ b/sandbox/plugins/native-repository-fs/src/main/rust/src/fs.rs @@ -33,9 +33,9 @@ pub fn build( #[cfg(test)] mod tests { use super::*; + use futures::TryStreamExt; use object_store::path::Path; use object_store::{ObjectStoreExt, PutPayload}; - use futures::TryStreamExt; #[test] fn test_build_with_valid_path() { @@ -64,7 +64,10 @@ mod tests { let data = b"hello parquet world"; // Write - store.put(&path, PutPayload::from_static(data)).await.unwrap(); + store + .put(&path, PutPayload::from_static(data)) + .await + .unwrap(); // Read let result = store.get(&path).await.unwrap(); @@ -81,7 +84,10 @@ mod tests { let path = Path::from("sized_file.dat"); let data = b"exactly 26 bytes of data!!"; - store.put(&path, PutPayload::from_static(data)).await.unwrap(); + store + .put(&path, PutPayload::from_static(data)) + .await + .unwrap(); let meta = store.head(&path).await.unwrap(); assert_eq!(meta.size as usize, data.len()); @@ -93,8 +99,14 @@ mod tests { let config = format!(r#"{{"base_path":"{}"}}"#, dir.path().display()); let store = build(&config).unwrap(); - store.put(&Path::from("a.parquet"), PutPayload::from_static(b"aaa")).await.unwrap(); - store.put(&Path::from("b.parquet"), PutPayload::from_static(b"bbb")).await.unwrap(); + store + .put(&Path::from("a.parquet"), PutPayload::from_static(b"aaa")) + .await + .unwrap(); + store + .put(&Path::from("b.parquet"), PutPayload::from_static(b"bbb")) + .await + .unwrap(); let list: Vec<_> = store.list(None).try_collect().await.unwrap(); let names: Vec = list.iter().map(|m| m.location.to_string()).collect(); @@ -109,7 +121,10 @@ mod tests { let store = build(&config).unwrap(); let path = Path::from("to_delete.dat"); - store.put(&path, PutPayload::from_static(b"delete me")).await.unwrap(); + store + .put(&path, PutPayload::from_static(b"delete me")) + .await + .unwrap(); assert!(store.head(&path).await.is_ok()); store.delete(&path).await.unwrap(); @@ -123,7 +138,10 @@ mod tests { let store = build(&config).unwrap(); let path = Path::from("range_file.dat"); - store.put(&path, PutPayload::from_static(b"0123456789")).await.unwrap(); + store + .put(&path, PutPayload::from_static(b"0123456789")) + .await + .unwrap(); let bytes = store.get_range(&path, 3..7).await.unwrap(); assert_eq!(bytes.as_ref(), b"3456"); diff --git a/sandbox/plugins/native-repository-fs/src/main/rust/src/lib.rs b/sandbox/plugins/native-repository-fs/src/main/rust/src/lib.rs index 7f0e45650ce2f..9caca4c5250b8 100644 --- a/sandbox/plugins/native-repository-fs/src/main/rust/src/lib.rs +++ b/sandbox/plugins/native-repository-fs/src/main/rust/src/lib.rs @@ -16,18 +16,15 @@ pub mod fs; pub use fs::build; pub use fs::FsConfig; -use std::sync::Arc; use object_store::ObjectStore; +use std::sync::Arc; /// Create a local filesystem [`ObjectStore`] from JSON config. /// /// FS backend does not use credentials. #[native_bridge_common::ffm_safe] #[no_mangle] -pub unsafe extern "C" fn fs_create_store( - config_ptr: *const u8, - config_len: i64, -) -> i64 { +pub unsafe extern "C" fn fs_create_store(config_ptr: *const u8, config_len: i64) -> i64 { if config_ptr.is_null() { return Err("fs_create_store: null config pointer".to_string()); } @@ -43,7 +40,9 @@ pub unsafe extern "C" fn fs_create_store( #[native_bridge_common::ffm_safe] #[no_mangle] pub unsafe extern "C" fn fs_destroy_store(ptr: i64) -> i64 { - if ptr == 0 { return Err("fs_destroy_store: null pointer".to_string()); } + if ptr == 0 { + return Err("fs_destroy_store: null pointer".to_string()); + } let _: Box> = Box::from_raw(ptr as *mut Arc); Ok(0) } diff --git a/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs b/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs index 0c37c980fc610..5df5355e4144f 100644 --- a/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs +++ b/sandbox/plugins/native-repository-gcs/src/main/rust/src/gcs.rs @@ -50,8 +50,12 @@ pub fn build( if config.max_retries.is_some() || config.retry_timeout_ms.is_some() { let mut retry = RetryConfig::default(); - if let Some(m) = config.max_retries { retry.max_retries = m; } - if let Some(ms) = config.retry_timeout_ms { retry.retry_timeout = Duration::from_millis(ms); } + if let Some(m) = config.max_retries { + retry.max_retries = m; + } + if let Some(ms) = config.retry_timeout_ms { + retry.retry_timeout = Duration::from_millis(ms); + } builder = builder.with_retry(retry); } @@ -61,8 +65,8 @@ pub fn build( // its completion work (TLS, body assembly) off the CPU runtime that drives // query decode. No-op when no IO runtime is installed (e.g. unit tests). if let Some(io) = native_bridge_common::io_runtime::io_handle() { - builder = builder - .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + builder = + builder.with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); } Ok(Arc::new(builder.build()?)) @@ -87,7 +91,11 @@ mod tests { let config = r#"{"bucket":"b","max_retries":3,"retry_timeout_ms":10000}"#; let result = build(config, None); if let Err(e) = &result { - assert!(!e.to_string().contains("parse"), "should not be a parse error: {}", e); + assert!( + !e.to_string().contains("parse"), + "should not be a parse error: {}", + e + ); } } } diff --git a/sandbox/plugins/native-repository-gcs/src/main/rust/src/lib.rs b/sandbox/plugins/native-repository-gcs/src/main/rust/src/lib.rs index 60d4705dcd1ef..b6f3dfebe3f50 100644 --- a/sandbox/plugins/native-repository-gcs/src/main/rust/src/lib.rs +++ b/sandbox/plugins/native-repository-gcs/src/main/rust/src/lib.rs @@ -16,8 +16,8 @@ pub mod gcs; pub use gcs::build; pub use gcs::GcsConfig; -use std::sync::Arc; use object_store::ObjectStore; +use std::sync::Arc; /// Create a GCS [`ObjectStore`] from JSON config and return a boxed Arc pointer. /// @@ -40,7 +40,12 @@ pub unsafe extern "C" fn gcs_create_store( let config_json = std::str::from_utf8(bytes).map_err(|e| format!("invalid UTF-8: {}", e))?; let credentials = if cred_provider_ptr != 0 { let provider = Box::from_raw( - cred_provider_ptr as *mut Arc>, + cred_provider_ptr + as *mut Arc< + dyn object_store::CredentialProvider< + Credential = object_store::gcp::GcpCredential, + >, + >, ); Some(*provider) } else { @@ -56,7 +61,9 @@ pub unsafe extern "C" fn gcs_create_store( #[native_bridge_common::ffm_safe] #[no_mangle] pub unsafe extern "C" fn gcs_destroy_store(ptr: i64) -> i64 { - if ptr == 0 { return Err("gcs_destroy_store: null pointer".to_string()); } + if ptr == 0 { + return Err("gcs_destroy_store: null pointer".to_string()); + } let _: Box> = Box::from_raw(ptr as *mut Arc); Ok(0) } diff --git a/sandbox/plugins/native-repository-s3/src/main/rust/src/lib.rs b/sandbox/plugins/native-repository-s3/src/main/rust/src/lib.rs index c1b4c045335ae..7088ef18a72ca 100644 --- a/sandbox/plugins/native-repository-s3/src/main/rust/src/lib.rs +++ b/sandbox/plugins/native-repository-s3/src/main/rust/src/lib.rs @@ -16,8 +16,8 @@ pub mod s3; pub use s3::build; pub use s3::S3Config; -use std::sync::Arc; use object_store::ObjectStore; +use std::sync::Arc; // --------------------------------------------------------------------------- // FFM entry points @@ -49,7 +49,12 @@ pub unsafe extern "C" fn s3_create_store( let credentials = if cred_provider_ptr != 0 { // SAFETY: ptr was produced by Box::into_raw(Box::new(Arc>)) let provider = Box::from_raw( - cred_provider_ptr as *mut Arc>, + cred_provider_ptr + as *mut Arc< + dyn object_store::CredentialProvider< + Credential = object_store::aws::AwsCredential, + >, + >, ); Some(*provider) } else { diff --git a/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs b/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs index 270a3eda5721d..95d64368183af 100644 --- a/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs +++ b/sandbox/plugins/native-repository-s3/src/main/rust/src/s3.rs @@ -78,32 +78,61 @@ pub fn build( let config: S3Config = serde_json::from_str(config_json)?; let mut builder = AmazonS3Builder::new().with_bucket_name(&config.bucket); - if let Some(ref r) = config.region { builder = builder.with_region(r); } - if let Some(ref e) = config.endpoint { builder = builder.with_endpoint(e); } + if let Some(ref r) = config.region { + builder = builder.with_region(r); + } + if let Some(ref e) = config.endpoint { + builder = builder.with_endpoint(e); + } if let Some(creds) = credentials { builder = builder.with_credentials(creds); } - if config.virtual_hosted_style == Some(true) { builder = builder.with_virtual_hosted_style_request(true); } - if config.unsigned_payload == Some(true) { builder = builder.with_unsigned_payload(true); } - if config.allow_http == Some(true) { builder = builder.with_allow_http(true); } - if let Some(ref p) = config.proxy_url { builder = builder.with_proxy_url(p); } - if let Some(ref c) = config.proxy_ca_certificate { builder = builder.with_proxy_ca_certificate(c); } - if config.imdsv1_fallback == Some(true) { builder = builder.with_imdsv1_fallback(); } - if config.s3_express == Some(true) { builder = builder.with_s3_express(true); } - if let Some(ref k) = config.sse_kms_key_id { builder = builder.with_sse_kms_encryption(k); } - if let Some(ref d) = config.dsse_kms_key_id { builder = builder.with_dsse_kms_encryption(d); } - if config.bucket_key == Some(true) { builder = builder.with_bucket_key(true); } + if config.virtual_hosted_style == Some(true) { + builder = builder.with_virtual_hosted_style_request(true); + } + if config.unsigned_payload == Some(true) { + builder = builder.with_unsigned_payload(true); + } + if config.allow_http == Some(true) { + builder = builder.with_allow_http(true); + } + if let Some(ref p) = config.proxy_url { + builder = builder.with_proxy_url(p); + } + if let Some(ref c) = config.proxy_ca_certificate { + builder = builder.with_proxy_ca_certificate(c); + } + if config.imdsv1_fallback == Some(true) { + builder = builder.with_imdsv1_fallback(); + } + if config.s3_express == Some(true) { + builder = builder.with_s3_express(true); + } + if let Some(ref k) = config.sse_kms_key_id { + builder = builder.with_sse_kms_encryption(k); + } + if let Some(ref d) = config.dsse_kms_key_id { + builder = builder.with_dsse_kms_encryption(d); + } + if config.bucket_key == Some(true) { + builder = builder.with_bucket_key(true); + } if let Some(ref a) = config.checksum_algorithm { builder = builder.with_checksum_algorithm( - a.parse().map_err(|_| format!("unknown checksum algorithm: '{}'", a))? + a.parse() + .map_err(|_| format!("unknown checksum algorithm: '{}'", a))?, ); } if config.max_retries.is_some() || config.retry_timeout_ms.is_some() { let mut retry = RetryConfig::default(); - if let Some(m) = config.max_retries { retry.max_retries = m; } - if let Some(ms) = config.retry_timeout_ms { retry.retry_timeout = Duration::from_millis(ms); } + if let Some(m) = config.max_retries { + retry.max_retries = m; + } + if let Some(ms) = config.retry_timeout_ms { + retry.retry_timeout = Duration::from_millis(ms); + } builder = builder.with_retry(retry); } @@ -113,8 +142,8 @@ pub fn build( // its completion work (TLS, body assembly) off the CPU runtime that drives // query decode. No-op when no IO runtime is installed (e.g. unit tests). if let Some(io) = native_bridge_common::io_runtime::io_handle() { - builder = builder - .with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); + builder = + builder.with_http_connector(object_store::client::SpawnedReqwestConnector::new(io)); } Ok(Arc::new(builder.build()?)) diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/benches/merge_projection_bench.rs b/sandbox/plugins/parquet-data-format/src/main/rust/benches/merge_projection_bench.rs index 31d488ae8b8a6..8911ffbe682d1 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/benches/merge_projection_bench.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/benches/merge_projection_bench.rs @@ -25,15 +25,8 @@ const WIDE_STRING_COLUMNS: usize = 20; const NARROW_STRING_COLUMNS: usize = 2; const STRING_VALUE_LEN: usize = 100; -fn generate_parquet_file( - path: &str, - num_rows: usize, - num_string_cols: usize, - file_id: usize, -) { - let mut fields = vec![ - Field::new("@timestamp", DataType::Int64, false), - ]; +fn generate_parquet_file(path: &str, num_rows: usize, num_string_cols: usize, file_id: usize) { + let mut fields = vec![Field::new("@timestamp", DataType::Int64, false)]; for i in 0..num_string_cols { fields.push(Field::new(format!("field_{}", i), DataType::Utf8, true)); } @@ -86,7 +79,12 @@ fn measure_resident_bytes() -> usize { #[cfg(target_os = "linux")] { let statm = fs::read_to_string("/proc/self/statm").unwrap_or_default(); - let pages: usize = statm.split_whitespace().nth(1).unwrap_or("0").parse().unwrap_or(0); + let pages: usize = statm + .split_whitespace() + .nth(1) + .unwrap_or("0") + .parse() + .unwrap_or(0); pages * 4096 // RSS in bytes (page size = 4KB) } #[cfg(not(target_os = "linux"))] @@ -140,7 +138,8 @@ fn run_merge_bench(label: &str, num_string_cols: usize) { let total_rows = ROWS_PER_FILE * NUM_FILES; let rows_per_sec = total_rows as f64 / elapsed.as_secs_f64(); let mb_per_sec = { - let input_size: u64 = input_paths.iter() + let input_size: u64 = input_paths + .iter() .map(|p| fs::metadata(p).map(|m| m.len()).unwrap_or(0)) .sum(); (input_size as f64 / 1024.0 / 1024.0) / elapsed.as_secs_f64() @@ -153,15 +152,34 @@ fn run_merge_bench(label: &str, num_string_cols: usize) { println!("┌─────────────────────────────────────────────────────────────"); println!("│ {} ", label); println!("├─────────────────────────────────────────────────────────────"); - println!("│ Files: {} × {} rows = {} total rows", NUM_FILES, ROWS_PER_FILE, total_rows); - println!("│ Columns: 1 sort (Int64) + {} string ({}B each)", num_string_cols, STRING_VALUE_LEN); + println!( + "│ Files: {} × {} rows = {} total rows", + NUM_FILES, ROWS_PER_FILE, total_rows + ); + println!( + "│ Columns: 1 sort (Int64) + {} string ({}B each)", + num_string_cols, STRING_VALUE_LEN + ); println!("│ Batch size: {}", BATCH_SIZE); println!("│ Elapsed: {:.2?}", elapsed); - println!("│ Throughput: {:.0} rows/sec, {:.1} MB/sec (input)", rows_per_sec, mb_per_sec); + println!( + "│ Throughput: {:.0} rows/sec, {:.1} MB/sec (input)", + rows_per_sec, mb_per_sec + ); println!("│ RSS delta: {:.1} MB", mem_delta_mb); - println!("│ Output rows: {}", output.metadata.file_metadata().num_rows()); + println!( + "│ Output rows: {}", + output.metadata.file_metadata().num_rows() + ); println!("│ Output RGs: {}", output.metadata.num_row_groups()); - println!("│ Deferred mode: {}", if num_string_cols >= 3 { "YES (expected)" } else { "NO (eager)" }); + println!( + "│ Deferred mode: {}", + if num_string_cols >= 3 { + "YES (expected)" + } else { + "NO (eager)" + } + ); println!("└─────────────────────────────────────────────────────────────"); println!(); } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/crc_writer.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/crc_writer.rs index 7ae7c436e9477..0be16dd89377e 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/crc_writer.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/crc_writer.rs @@ -31,7 +31,9 @@ pub struct CrcWriter { impl CrcWriter { pub fn new(inner: W) -> (Self, CrcHandle) { let hasher = Arc::new(Mutex::new(crc32fast::Hasher::new())); - let handle = CrcHandle { hasher: hasher.clone() }; + let handle = CrcHandle { + hasher: hasher.clone(), + }; (Self { inner, hasher }, handle) } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs index 9f89eb8d28ed7..36f94820a37ff 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/ffm.rs @@ -16,9 +16,9 @@ use std::str; use native_bridge_common::{ffm_safe, log_debug}; -use crate::native_settings::NativeSettings; use crate::field_config::FieldConfig; use crate::merge; +use crate::native_settings::NativeSettings; use crate::writer::{NativeParquetWriter, SETTINGS_STORE}; unsafe fn str_from_raw<'a>(ptr: *const u8, len: i64) -> Result<&'a str, String> { @@ -55,10 +55,7 @@ unsafe fn str_array_from_raw( } /// Decode a parallel (pointers, count) array of i64 values interpreted as booleans (0 = false). -unsafe fn bool_array_from_raw( - vals: *const i64, - count: i64, -) -> Vec { +unsafe fn bool_array_from_raw(vals: *const i64, count: i64) -> Vec { if count == 0 || vals.is_null() { return vec![]; } @@ -88,17 +85,27 @@ pub unsafe extern "C" fn parquet_create_writer( writer_generation: i64, ) -> i64 { let filename = str_from_raw(file_ptr, file_len) - .map_err(|e| format!("parquet_create_writer file: {}", e))?.to_string(); + .map_err(|e| format!("parquet_create_writer file: {}", e))? + .to_string(); let index_name = str_from_raw(index_name_ptr, index_name_len) - .map_err(|e| format!("parquet_create_writer index_name: {}", e))?.to_string(); + .map_err(|e| format!("parquet_create_writer index_name: {}", e))? + .to_string(); let sort_columns = str_array_from_raw(sort_ptrs, sort_lens, sort_count) .map_err(|e| format!("parquet_create_writer sort_columns: {}", e))?; let reverse_sorts = bool_array_from_raw(reverse_vals, reverse_count); let nulls_first = bool_array_from_raw(nulls_first_vals, nulls_first_count); - NativeParquetWriter::create_writer(filename, index_name, schema_address, sort_columns, reverse_sorts, nulls_first, writer_generation) - .map(|_| 0) - .map_err(|e| e.to_string()) + NativeParquetWriter::create_writer( + filename, + index_name, + schema_address, + sort_columns, + reverse_sorts, + nulls_first, + writer_generation, + ) + .map(|_| 0) + .map_err(|e| e.to_string()) } #[ffm_safe] @@ -109,7 +116,9 @@ pub unsafe extern "C" fn parquet_write( array_address: i64, schema_address: i64, ) -> i64 { - let filename = str_from_raw(file_ptr, file_len).map_err(|e| format!("parquet_write: {}", e))?.to_string(); + let filename = str_from_raw(file_ptr, file_len) + .map_err(|e| format!("parquet_write: {}", e))? + .to_string(); NativeParquetWriter::write_data(filename, array_address, schema_address) .map(|_| 0) .map_err(|e| e.to_string()) @@ -131,24 +140,36 @@ pub unsafe extern "C" fn parquet_finalize_writer( sort_perm_ptr_out: *mut i64, sort_perm_len_out: *mut i64, ) -> i64 { - let filename = str_from_raw(file_ptr, file_len).map_err(|e| format!("parquet_finalize_writer: {}", e))?.to_string(); + let filename = str_from_raw(file_ptr, file_len) + .map_err(|e| format!("parquet_finalize_writer: {}", e))? + .to_string(); match NativeParquetWriter::finalize_writer(filename) { Ok(Some(result)) => { let fm = result.metadata.file_metadata(); - if !version_out.is_null() { *version_out = fm.version(); } - if !num_rows_out.is_null() { *num_rows_out = fm.num_rows(); } + if !version_out.is_null() { + *version_out = fm.version(); + } + if !num_rows_out.is_null() { + *num_rows_out = fm.num_rows(); + } if let Some(cb) = fm.created_by() { if !created_by_buf.is_null() && created_by_buf_len > 0 { let bytes = cb.as_bytes(); let n = bytes.len().min(created_by_buf_len as usize); std::ptr::copy_nonoverlapping(bytes.as_ptr(), created_by_buf, n); - if !created_by_len_out.is_null() { *created_by_len_out = n as i64; } + if !created_by_len_out.is_null() { + *created_by_len_out = n as i64; + } } } else if !created_by_len_out.is_null() { *created_by_len_out = -1; } - if !crc32_out.is_null() { *crc32_out = result.crc32 as i64; } - if !num_row_groups_out.is_null() { *num_row_groups_out = result.metadata.num_row_groups() as i64; } + if !crc32_out.is_null() { + *crc32_out = result.crc32 as i64; + } + if !num_row_groups_out.is_null() { + *num_row_groups_out = result.metadata.num_row_groups() as i64; + } // Return sort permutation if present if !sort_perm_ptr_out.is_null() && !sort_perm_len_out.is_null() { @@ -172,7 +193,6 @@ pub unsafe extern "C" fn parquet_finalize_writer( } } - #[ffm_safe] #[no_mangle] pub unsafe extern "C" fn parquet_get_file_metadata( @@ -185,18 +205,28 @@ pub unsafe extern "C" fn parquet_get_file_metadata( created_by_len_out: *mut i64, num_row_groups_out: *mut i64, ) -> i64 { - let filename = str_from_raw(file_ptr, file_len).map_err(|e| format!("parquet_get_file_metadata: {}", e))?.to_string(); + let filename = str_from_raw(file_ptr, file_len) + .map_err(|e| format!("parquet_get_file_metadata: {}", e))? + .to_string(); let metadata = NativeParquetWriter::get_file_metadata(filename).map_err(|e| e.to_string())?; let fm = metadata.file_metadata(); - if !version_out.is_null() { *version_out = fm.version(); } - if !num_rows_out.is_null() { *num_rows_out = fm.num_rows(); } - if !num_row_groups_out.is_null() { *num_row_groups_out = metadata.num_row_groups() as i64; } + if !version_out.is_null() { + *version_out = fm.version(); + } + if !num_rows_out.is_null() { + *num_rows_out = fm.num_rows(); + } + if !num_row_groups_out.is_null() { + *num_row_groups_out = metadata.num_row_groups() as i64; + } if let Some(cb) = fm.created_by() { if !created_by_buf.is_null() && created_by_buf_len > 0 { let bytes = cb.as_bytes(); let n = bytes.len().min(created_by_buf_len as usize); std::ptr::copy_nonoverlapping(bytes.as_ptr(), created_by_buf, n); - if !created_by_len_out.is_null() { *created_by_len_out = n as i64; } + if !created_by_len_out.is_null() { + *created_by_len_out = n as i64; + } } } else if !created_by_len_out.is_null() { *created_by_len_out = -1; @@ -219,9 +249,12 @@ pub unsafe extern "C" fn parquet_get_column_metadata( use parquet::file::reader::{FileReader, SerializedFileReader}; use std::fs::File; - let filename = str_from_raw(file_ptr, file_len).map_err(|e| format!("parquet_get_column_metadata: {}", e))?.to_string(); + let filename = str_from_raw(file_ptr, file_len) + .map_err(|e| format!("parquet_get_column_metadata: {}", e))? + .to_string(); let file = File::open(&filename).map_err(|e| format!("Failed to open file: {}", e))?; - let reader = SerializedFileReader::new(file).map_err(|e| format!("Failed to read parquet: {}", e))?; + let reader = + SerializedFileReader::new(file).map_err(|e| format!("Failed to read parquet: {}", e))?; let metadata = reader.metadata(); if metadata.num_row_groups() == 0 { @@ -229,7 +262,9 @@ pub unsafe extern "C" fn parquet_get_column_metadata( let bytes = json.as_bytes(); let n = bytes.len().min(out_buf_len as usize); std::ptr::copy_nonoverlapping(bytes.as_ptr(), out_buf, n); - if !out_len.is_null() { *out_len = n as i64; } + if !out_len.is_null() { + *out_len = n as i64; + } return Ok(0); } @@ -241,11 +276,17 @@ pub unsafe extern "C" fn parquet_get_column_metadata( let encodings: Vec = col.encodings().map(|e| format!("{:?}", e)).collect(); let compression = format!("{:?}", col.compression()); let has_bloom_filter = col.bloom_filter_offset().is_some(); - if i > 0 { json.push(','); } + if i > 0 { + json.push(','); + } json.push_str(&format!( "\"{}\":{{\"encodings\":[{}],\"compression\":\"{}\",\"bloom_filter\":{}}}", col_name, - encodings.iter().map(|e| format!("\"{}\"" , e)).collect::>().join(","), + encodings + .iter() + .map(|e| format!("\"{}\"", e)) + .collect::>() + .join(","), compression, has_bloom_filter )); @@ -255,7 +296,9 @@ pub unsafe extern "C" fn parquet_get_column_metadata( let bytes = json.as_bytes(); let n = bytes.len().min(out_buf_len as usize); std::ptr::copy_nonoverlapping(bytes.as_ptr(), out_buf, n); - if !out_len.is_null() { *out_len = n as i64; } + if !out_len.is_null() { + *out_len = n as i64; + } Ok(0) } @@ -264,7 +307,9 @@ pub unsafe extern "C" fn parquet_get_filtered_native_bytes_used( prefix_ptr: *const u8, prefix_len: i64, ) -> i64 { - let prefix = str_from_raw(prefix_ptr, prefix_len).unwrap_or("").to_string(); + let prefix = str_from_raw(prefix_ptr, prefix_len) + .unwrap_or("") + .to_string(); NativeParquetWriter::get_filtered_writer_memory_usage(prefix).unwrap_or(0) as i64 } @@ -331,93 +376,218 @@ pub unsafe extern "C" fn parquet_on_settings_update( type_bf_ndv_count: i64, ) -> i64 { let index_name = str_from_raw(index_name_ptr, index_name_len) - .map_err(|e| format!("parquet_on_settings_update index_name: {}", e))?.to_string(); + .map_err(|e| format!("parquet_on_settings_update index_name: {}", e))? + .to_string(); let compression_type = if compression_type_ptr.is_null() || compression_type_len < 0 { None } else { - Some(str_from_raw(compression_type_ptr, compression_type_len) - .map_err(|e| format!("parquet_on_settings_update compression_type: {}", e))?.to_string()) + Some( + str_from_raw(compression_type_ptr, compression_type_len) + .map_err(|e| format!("parquet_on_settings_update compression_type: {}", e))? + .to_string(), + ) }; - fn opt_i32(v: i64) -> Option { if v < 0 { None } else { Some(v as i32) } } - fn opt_usize(v: i64) -> Option { if v < 0 { None } else { Some(v as usize) } } - fn opt_bool(v: i64) -> Option { if v < 0 { None } else { Some(v != 0) } } - fn opt_f64(v: f64) -> Option { if v < 0.0 { None } else { Some(v) } } - fn opt_u64(v: i64) -> Option { if v < 0 { None } else { Some(v as u64) } } + fn opt_i32(v: i64) -> Option { + if v < 0 { + None + } else { + Some(v as i32) + } + } + fn opt_usize(v: i64) -> Option { + if v < 0 { + None + } else { + Some(v as usize) + } + } + fn opt_bool(v: i64) -> Option { + if v < 0 { + None + } else { + Some(v != 0) + } + } + fn opt_f64(v: f64) -> Option { + if v < 0.0 { + None + } else { + Some(v) + } + } + fn opt_u64(v: i64) -> Option { + if v < 0 { + None + } else { + Some(v as u64) + } + } let field_names = str_array_from_raw(field_name_ptrs, field_name_lens, field_count) .map_err(|e| format!("parquet_on_settings_update field_names: {}", e))?; let field_encodings = str_array_from_raw(field_encoding_ptrs, field_encoding_lens, field_count) .map_err(|e| format!("parquet_on_settings_update field_encodings: {}", e))?; - let field_compression_names = str_array_from_raw(field_compression_name_ptrs, field_compression_name_lens, field_compression_count) - .map_err(|e| format!("parquet_on_settings_update field_compression_names: {}", e))?; - let field_compressions = str_array_from_raw(field_compression_value_ptrs, field_compression_value_lens, field_compression_count) - .map_err(|e| format!("parquet_on_settings_update field_compressions: {}", e))?; - - let type_encoding_names = str_array_from_raw(type_encoding_name_ptrs, type_encoding_name_lens, type_encoding_count) - .map_err(|e| format!("parquet_on_settings_update type_encoding_names: {}", e))?; - let type_encodings = str_array_from_raw(type_encoding_value_ptrs, type_encoding_value_lens, type_encoding_count) - .map_err(|e| format!("parquet_on_settings_update type_encodings: {}", e))?; - let type_compression_names = str_array_from_raw(type_compression_name_ptrs, type_compression_name_lens, type_compression_count) - .map_err(|e| format!("parquet_on_settings_update type_compression_names: {}", e))?; - let type_compressions = str_array_from_raw(type_compression_value_ptrs, type_compression_value_lens, type_compression_count) - .map_err(|e| format!("parquet_on_settings_update type_compressions: {}", e))?; + let field_compression_names = str_array_from_raw( + field_compression_name_ptrs, + field_compression_name_lens, + field_compression_count, + ) + .map_err(|e| format!("parquet_on_settings_update field_compression_names: {}", e))?; + let field_compressions = str_array_from_raw( + field_compression_value_ptrs, + field_compression_value_lens, + field_compression_count, + ) + .map_err(|e| format!("parquet_on_settings_update field_compressions: {}", e))?; + + let type_encoding_names = str_array_from_raw( + type_encoding_name_ptrs, + type_encoding_name_lens, + type_encoding_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_encoding_names: {}", e))?; + let type_encodings = str_array_from_raw( + type_encoding_value_ptrs, + type_encoding_value_lens, + type_encoding_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_encodings: {}", e))?; + let type_compression_names = str_array_from_raw( + type_compression_name_ptrs, + type_compression_name_lens, + type_compression_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_compression_names: {}", e))?; + let type_compressions = str_array_from_raw( + type_compression_value_ptrs, + type_compression_value_lens, + type_compression_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_compressions: {}", e))?; // Parse per-field bloom filter arrays - let bf_enabled_names = str_array_from_raw(bf_enabled_name_ptrs, bf_enabled_name_lens, bf_enabled_count) - .map_err(|e| format!("parquet_on_settings_update bf_enabled_names: {}", e))?; + let bf_enabled_names = + str_array_from_raw(bf_enabled_name_ptrs, bf_enabled_name_lens, bf_enabled_count) + .map_err(|e| format!("parquet_on_settings_update bf_enabled_names: {}", e))?; let field_configs = { let mut map = std::collections::HashMap::new(); for (name, encoding) in field_names.into_iter().zip(field_encodings.into_iter()) { - map.insert(name, FieldConfig { encoding_type: Some(encoding), ..Default::default() }); + map.insert( + name, + FieldConfig { + encoding_type: Some(encoding), + ..Default::default() + }, + ); } - for (name, compression) in field_compression_names.into_iter().zip(field_compressions.into_iter()) { + for (name, compression) in field_compression_names + .into_iter() + .zip(field_compressions.into_iter()) + { map.entry(name) - .and_modify(|fc| fc.compression_type = Some(compression.clone())) - .or_insert(FieldConfig { compression_type: Some(compression), ..Default::default() }); + .and_modify(|fc| fc.compression_type = Some(compression.clone())) + .or_insert(FieldConfig { + compression_type: Some(compression), + ..Default::default() + }); } for (i, name) in bf_enabled_names.into_iter().enumerate() { let val = *bf_enabled_vals.add(i) != 0; map.entry(name) - .and_modify(|fc| fc.bloom_filter_enabled = Some(val)) - .or_insert(FieldConfig { bloom_filter_enabled: Some(val), ..Default::default() }); + .and_modify(|fc| fc.bloom_filter_enabled = Some(val)) + .or_insert(FieldConfig { + bloom_filter_enabled: Some(val), + ..Default::default() + }); + } + if map.is_empty() { + None + } else { + Some(map) } - if map.is_empty() { None } else { Some(map) } }; let type_encoding_configs: Option> = { - let map: std::collections::HashMap<_, _> = type_encoding_names.into_iter().zip(type_encodings.into_iter()).collect(); - if map.is_empty() { None } else { Some(map) } + let map: std::collections::HashMap<_, _> = type_encoding_names + .into_iter() + .zip(type_encodings.into_iter()) + .collect(); + if map.is_empty() { + None + } else { + Some(map) + } }; let type_compression_configs: Option> = { - let map: std::collections::HashMap<_, _> = type_compression_names.into_iter().zip(type_compressions.into_iter()).collect(); - if map.is_empty() { None } else { Some(map) } + let map: std::collections::HashMap<_, _> = type_compression_names + .into_iter() + .zip(type_compressions.into_iter()) + .collect(); + if map.is_empty() { + None + } else { + Some(map) + } }; // Parse type-level bloom filter arrays - let type_bf_enabled_names = str_array_from_raw(type_bf_enabled_name_ptrs, type_bf_enabled_name_lens, type_bf_enabled_count) - .map_err(|e| format!("parquet_on_settings_update type_bf_enabled_names: {}", e))?; - let type_bf_fpp_names = str_array_from_raw(type_bf_fpp_name_ptrs, type_bf_fpp_name_lens, type_bf_fpp_count) - .map_err(|e| format!("parquet_on_settings_update type_bf_fpp_names: {}", e))?; - let type_bf_ndv_names = str_array_from_raw(type_bf_ndv_name_ptrs, type_bf_ndv_name_lens, type_bf_ndv_count) - .map_err(|e| format!("parquet_on_settings_update type_bf_ndv_names: {}", e))?; + let type_bf_enabled_names = str_array_from_raw( + type_bf_enabled_name_ptrs, + type_bf_enabled_name_lens, + type_bf_enabled_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_bf_enabled_names: {}", e))?; + let type_bf_fpp_names = str_array_from_raw( + type_bf_fpp_name_ptrs, + type_bf_fpp_name_lens, + type_bf_fpp_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_bf_fpp_names: {}", e))?; + let type_bf_ndv_names = str_array_from_raw( + type_bf_ndv_name_ptrs, + type_bf_ndv_name_lens, + type_bf_ndv_count, + ) + .map_err(|e| format!("parquet_on_settings_update type_bf_ndv_names: {}", e))?; let type_bloom_filter_enabled: Option> = { - let map: std::collections::HashMap<_, _> = type_bf_enabled_names.into_iter().enumerate() - .map(|(i, name)| (name, *type_bf_enabled_vals.add(i) != 0)).collect(); - if map.is_empty() { None } else { Some(map) } + let map: std::collections::HashMap<_, _> = type_bf_enabled_names + .into_iter() + .enumerate() + .map(|(i, name)| (name, *type_bf_enabled_vals.add(i) != 0)) + .collect(); + if map.is_empty() { + None + } else { + Some(map) + } }; let type_bloom_filter_fpp: Option> = { - let map: std::collections::HashMap<_, _> = type_bf_fpp_names.into_iter().enumerate() - .map(|(i, name)| (name, *type_bf_fpp_vals.add(i))).collect(); - if map.is_empty() { None } else { Some(map) } + let map: std::collections::HashMap<_, _> = type_bf_fpp_names + .into_iter() + .enumerate() + .map(|(i, name)| (name, *type_bf_fpp_vals.add(i))) + .collect(); + if map.is_empty() { + None + } else { + Some(map) + } }; let type_bloom_filter_ndv: Option> = { - let map: std::collections::HashMap<_, _> = type_bf_ndv_names.into_iter().enumerate() - .map(|(i, name)| (name, *type_bf_ndv_vals.add(i) as u64)).collect(); - if map.is_empty() { None } else { Some(map) } + let map: std::collections::HashMap<_, _> = type_bf_ndv_names + .into_iter() + .enumerate() + .map(|(i, name)| (name, *type_bf_ndv_vals.add(i) as u64)) + .collect(); + if map.is_empty() { + None + } else { + Some(map) + } }; let config = NativeSettings { @@ -456,7 +626,8 @@ pub unsafe extern "C" fn parquet_remove_settings( index_name_len: i64, ) -> i64 { let index_name = str_from_raw(index_name_ptr, index_name_len) - .map_err(|e| format!("parquet_remove_settings: {}", e))?.to_string(); + .map_err(|e| format!("parquet_remove_settings: {}", e))? + .to_string(); SETTINGS_STORE.remove(&index_name); Ok(0) } @@ -520,7 +691,12 @@ pub unsafe extern "C" fn parquet_merge_files( }; let result = if sort_cols.is_empty() { - merge::merge_unsorted(&input_files, output_path, index_name, output_writer_generation) + merge::merge_unsorted( + &input_files, + output_path, + index_name, + output_writer_generation, + ) } else { merge::merge_sorted( &input_files, @@ -536,19 +712,27 @@ pub unsafe extern "C" fn parquet_merge_files( // Write Parquet file metadata to out-pointers. let fm = result.metadata.file_metadata(); - if !version_out.is_null() { *version_out = fm.version(); } - if !num_rows_out.is_null() { *num_rows_out = fm.num_rows(); } + if !version_out.is_null() { + *version_out = fm.version(); + } + if !num_rows_out.is_null() { + *num_rows_out = fm.num_rows(); + } if let Some(cb) = fm.created_by() { if !created_by_buf.is_null() && created_by_buf_len > 0 { let bytes = cb.as_bytes(); let n = bytes.len().min(created_by_buf_len as usize); std::ptr::copy_nonoverlapping(bytes.as_ptr(), created_by_buf, n); - if !created_by_len_out.is_null() { *created_by_len_out = n as i64; } + if !created_by_len_out.is_null() { + *created_by_len_out = n as i64; + } } } else if !created_by_len_out.is_null() { *created_by_len_out = -1; } - if !crc32_out.is_null() { *crc32_out = result.crc32 as i64; } + if !crc32_out.is_null() { + *crc32_out = result.crc32 as i64; + } // Write row-ID mapping into out-pointers as heap-allocated arrays. // Java reads them and then calls parquet_free_merge_result to deallocate. @@ -590,7 +774,10 @@ pub unsafe extern "C" fn parquet_free_merge_result( let mapping_bytes = mapping_len as usize * std::mem::size_of::(); // Java released merge mapping — free from pool crate::memory::merge_pool().shrink(mapping_bytes); - let _ = Box::from_raw(slice::from_raw_parts_mut(mapping_ptr as *mut i64, mapping_len as usize)); + let _ = Box::from_raw(slice::from_raw_parts_mut( + mapping_ptr as *mut i64, + mapping_len as usize, + )); } let n = gen_count as usize; if gen_keys_ptr != 0 && n > 0 { @@ -624,13 +811,16 @@ pub unsafe extern "C" fn parquet_read_as_json( use arrow::array::Array; let filename = str_from_raw(file_ptr, file_len) - .map_err(|e| format!("parquet_read_as_json: {}", e))?.to_string(); + .map_err(|e| format!("parquet_read_as_json: {}", e))? + .to_string(); let file = std::fs::File::open(&filename) .map_err(|e| format!("Failed to open {}: {}", filename, e))?; let builder = parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder::try_new(file) .map_err(|e| format!("Failed to read parquet: {}", e))?; - let reader = builder.with_batch_size(8192).build() + let reader = builder + .with_batch_size(8192) + .build() .map_err(|e| format!("Failed to build reader: {}", e))?; let mut rows: Vec = Vec::new(); @@ -646,26 +836,43 @@ pub unsafe extern "C" fn parquet_read_as_json( } else { match col.data_type() { arrow::datatypes::DataType::Int32 => { - let arr = col.as_any().downcast_ref::().unwrap(); + let arr = col + .as_any() + .downcast_ref::() + .unwrap(); serde_json::Value::Number(arr.value(row_idx).into()) } arrow::datatypes::DataType::Int64 => { - let arr = col.as_any().downcast_ref::().unwrap(); + let arr = col + .as_any() + .downcast_ref::() + .unwrap(); serde_json::Value::Number(arr.value(row_idx).into()) } arrow::datatypes::DataType::Utf8 => { - let arr = col.as_any().downcast_ref::().unwrap(); + let arr = col + .as_any() + .downcast_ref::() + .unwrap(); serde_json::Value::String(arr.value(row_idx).to_string()) } arrow::datatypes::DataType::Boolean => { - let arr = col.as_any().downcast_ref::().unwrap(); + let arr = col + .as_any() + .downcast_ref::() + .unwrap(); serde_json::Value::Bool(arr.value(row_idx)) } arrow::datatypes::DataType::Float64 => { - let arr = col.as_any().downcast_ref::().unwrap(); + let arr = col + .as_any() + .downcast_ref::() + .unwrap(); serde_json::json!(arr.value(row_idx)) } - _ => serde_json::Value::String(format!("", col.data_type())), + _ => { + serde_json::Value::String(format!("", col.data_type())) + } } }; obj.insert(field.name().clone(), val); @@ -674,11 +881,15 @@ pub unsafe extern "C" fn parquet_read_as_json( } } - let json_str = serde_json::to_string(&rows) - .map_err(|e| format!("JSON serialization failed: {}", e))?; + let json_str = + serde_json::to_string(&rows).map_err(|e| format!("JSON serialization failed: {}", e))?; let bytes = json_str.as_bytes(); if bytes.len() > buf_capacity as usize { - return Err(format!("JSON output ({} bytes) exceeds buffer capacity ({})", bytes.len(), buf_capacity)); + return Err(format!( + "JSON output ({} bytes) exceeds buffer capacity ({})", + bytes.len(), + buf_capacity + )); } std::ptr::copy_nonoverlapping(bytes.as_ptr(), out_buf, bytes.len()); *out_len = bytes.len() as i64; @@ -691,15 +902,15 @@ pub unsafe extern "C" fn parquet_read_as_json( /// Frees the heap-allocated row ID mapping array returned as part of `parquet_finalize_writer`. #[no_mangle] -pub unsafe extern "C" fn parquet_free_row_id_mapping( - mapping_ptr: i64, - mapping_len: i64, -) { +pub unsafe extern "C" fn parquet_free_row_id_mapping(mapping_ptr: i64, mapping_len: i64) { if mapping_ptr != 0 && mapping_len > 0 { let mapping_bytes = mapping_len as usize * std::mem::size_of::(); // Java released write mapping — free from pool crate::memory::write_pool().shrink(mapping_bytes); - let _ = Box::from_raw(slice::from_raw_parts_mut(mapping_ptr as *mut i64, mapping_len as usize)); + let _ = Box::from_raw(slice::from_raw_parts_mut( + mapping_ptr as *mut i64, + mapping_len as usize, + )); } } @@ -715,10 +926,7 @@ pub unsafe extern "C" fn parquet_free_row_id_mapping( /// Returns 0 on success, negative error pointer on failure (per FFM convention). #[ffm_safe] #[no_mangle] -pub unsafe extern "C" fn parquet_collect_runtime_metrics( - out_buf: *mut i64, - out_len: i64, -) -> i64 { +pub unsafe extern "C" fn parquet_collect_runtime_metrics(out_buf: *mut i64, out_len: i64) -> i64 { if out_buf.is_null() { return Err("parquet_collect_runtime_metrics: null out_buf".to_string()); } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/field_config.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/field_config.rs index be9c8d990447e..6dab75658b190 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/field_config.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/field_config.rs @@ -60,7 +60,10 @@ mod tests { encoding_type: Some("DELTA_BINARY_PACKED".to_string()), ..Default::default() }; - assert_eq!(config.encoding_type, Some("DELTA_BINARY_PACKED".to_string())); + assert_eq!( + config.encoding_type, + Some("DELTA_BINARY_PACKED".to_string()) + ); assert!(!config.is_empty()); } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/lib.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/lib.rs index 9a2fac354e97c..effface637f64 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/lib.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/lib.rs @@ -12,18 +12,18 @@ pub mod test_utils; #[cfg(test)] mod tests; -pub mod writer; +pub mod crc_writer; pub mod ffm; +pub mod field_config; pub mod memory; +pub mod merge; pub mod native_settings; -pub mod field_config; -pub mod writer_properties_builder; pub mod rate_limited_writer; -pub mod crc_writer; -pub mod merge; +pub mod writer; +pub mod writer_properties_builder; -pub use native_settings::NativeSettings; pub use field_config::FieldConfig; -pub use writer_properties_builder::WriterPropertiesBuilder; +pub use native_bridge_common::{log_debug, log_error, log_info}; +pub use native_settings::NativeSettings; pub use writer::SETTINGS_STORE; -pub use native_bridge_common::{log_info, log_error, log_debug}; +pub use writer_properties_builder::WriterPropertiesBuilder; diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs index 2a735c40b9b2d..03d9dec407be4 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/context.rs @@ -12,7 +12,7 @@ use std::sync::Arc; use arrow::array::RecordBatch; use arrow::datatypes::{DataType as ArrowDataType, Field as ArrowField, Schema as ArrowSchema}; -use parquet::arrow::arrow_writer::{ArrowRowGroupWriterFactory, compute_leaves}; +use parquet::arrow::arrow_writer::{compute_leaves, ArrowRowGroupWriterFactory}; use parquet::file::writer::SerializedFileWriter; use parquet::schema::types::SchemaDescriptor; use rayon::prelude::*; @@ -26,9 +26,7 @@ use crate::{log_debug, log_error, SETTINGS_STORE}; use native_bridge_common::memory_pool::MemoryReservation; use super::error::{MergeError, MergeResult}; -use super::io_task::{ - get_merge_pool, spawn_io_task, IoCommand, RATE_LIMIT_MB_PER_SEC, -}; +use super::io_task::{get_merge_pool, spawn_io_task, IoCommand, RATE_LIMIT_MB_PER_SEC}; use super::schema::{append_row_id, build_parquet_root_schema, ROW_ID_COLUMN_NAME}; /// Owns all shared state for a merge operation: schemas, writer factory, @@ -109,9 +107,16 @@ impl MergeContext { .get(index_name) .map(|r| r.clone()) .unwrap_or_default(); - let writer_props = Arc::new(WriterPropertiesBuilder::build_with_generation(&config, Some(output_writer_generation), &output_schema) - .map_err(|e| MergeError::Logic(format!("Invalid encoding/compression config: {}", e)))?); - + let writer_props = Arc::new( + WriterPropertiesBuilder::build_with_generation( + &config, + Some(output_writer_generation), + &output_schema, + ) + .map_err(|e| { + MergeError::Logic(format!("Invalid encoding/compression config: {}", e)) + })?, + ); let writer = SerializedFileWriter::new(crc_writer, parquet_root, writer_props)?; let rg_writer_factory = ArrowRowGroupWriterFactory::new(&writer, output_schema.clone()); @@ -155,7 +160,9 @@ impl MergeContext { // Track with_id batch (transient — alive during column write) self.reservation.grow(with_id_bytes); - let col_writers = self.col_writers.as_mut() + let col_writers = self + .col_writers + .as_mut() .ok_or_else(|| MergeError::Logic("Column writers not initialized".into()))?; // Compute leaf columns (O(columns) pointer math), then parallel-write @@ -168,7 +175,8 @@ impl MergeContext { } let write_errors: Vec<_> = get_merge_pool(self.rayon_threads).install(|| { - col_writers.par_iter_mut() + col_writers + .par_iter_mut() .zip(all_leaves.into_par_iter()) .filter_map(|(writer, leaf)| writer.write(&leaf).err()) .collect() @@ -186,9 +194,11 @@ impl MergeContext { // Track actual column writer memory using memory_size() API let actual_writer_bytes: usize = col_writers.iter().map(|w| w.memory_size()).sum(); if actual_writer_bytes > self.tracked_writer_bytes { - self.reservation.grow(actual_writer_bytes - self.tracked_writer_bytes); + self.reservation + .grow(actual_writer_bytes - self.tracked_writer_bytes); } else if actual_writer_bytes < self.tracked_writer_bytes { - self.reservation.shrink(self.tracked_writer_bytes - actual_writer_bytes); + self.reservation + .shrink(self.tracked_writer_bytes - actual_writer_bytes); } self.tracked_writer_bytes = actual_writer_bytes; @@ -223,7 +233,9 @@ impl MergeContext { } fn do_flush(&mut self) -> MergeResult<()> { - let col_writers = self.col_writers.take() + let col_writers = self + .col_writers + .take() .ok_or_else(|| MergeError::Logic("Column writers not initialized".into()))?; let n = self.output_row_count; @@ -259,7 +271,8 @@ impl MergeContext { // Open writers for the next row group. self.col_writers = Some( - self.rg_writer_factory.create_column_writers(self.row_group_index)? + self.rg_writer_factory + .create_column_writers(self.row_group_index)?, ); log_debug!( diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs index ddcc558b6ebc6..bcb881b534378 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/cursor.rs @@ -64,32 +64,49 @@ impl FileCursor { let builder = ParquetRecordBatchReaderBuilder::try_new(file)?; let schema = builder.schema().clone(); let writer_generation = crate::writer_properties_builder::read_writer_generation( - builder.metadata().file_metadata(), file_id, + builder.metadata().file_metadata(), + file_id, ); let total_row_count = builder.metadata().file_metadata().num_rows() as usize; let parquet_schema_descr = builder.parquet_schema().clone(); // Resolve sort column types - let sort_col_types: Vec = sort_columns.iter() - .map(|col| schema.fields().iter() - .find(|f| f.name() == col.as_str()) - .map(|f| f.data_type().clone()) - .ok_or_else(|| MergeError::Logic(format!( - "Sort column '{}' not found in file '{}' (cursor {})", col, path, file_id - ))) - ) + let sort_col_types: Vec = sort_columns + .iter() + .map(|col| { + schema + .fields() + .iter() + .find(|f| f.name() == col.as_str()) + .map(|f| f.data_type().clone()) + .ok_or_else(|| { + MergeError::Logic(format!( + "Sort column '{}' not found in file '{}' (cursor {})", + col, path, file_id + )) + }) + }) .collect::>()?; // Decide mode based on schema width let sort_col_set: std::collections::HashSet<&str> = sort_columns.iter().map(|s| s.as_str()).collect(); - let deferred = schema.fields().iter() + let deferred = schema + .fields() + .iter() .filter(|f| !sort_col_set.contains(f.name().as_str())) .filter(|f| f.name() != super::schema::ROW_ID_COLUMN_NAME) - .filter(|f| matches!(f.data_type(), - ArrowDataType::Utf8 | ArrowDataType::LargeUtf8 - | ArrowDataType::Binary | ArrowDataType::LargeBinary)) - .count() >= deferred_threshold; + .filter(|f| { + matches!( + f.data_type(), + ArrowDataType::Utf8 + | ArrowDataType::LargeUtf8 + | ArrowDataType::Binary + | ArrowDataType::LargeBinary + ) + }) + .count() + >= deferred_threshold; // Data projection: all columns except __row_id__ let data_projection_indices = projection_indices_excluding_row_id(&schema); @@ -98,50 +115,76 @@ impl FileCursor { let file1 = File::open(path)?; let builder1 = ParquetRecordBatchReaderBuilder::try_new(file1)?; let sort_projection = if deferred { - let sort_indices: Vec = sort_columns.iter() + let sort_indices: Vec = sort_columns + .iter() .filter_map(|c| schema.fields().iter().position(|f| f.name() == c.as_str())) .collect(); parquet::arrow::ProjectionMask::roots(builder1.parquet_schema(), sort_indices) } else { - parquet::arrow::ProjectionMask::roots(builder1.parquet_schema(), data_projection_indices.clone()) + parquet::arrow::ProjectionMask::roots( + builder1.parquet_schema(), + data_projection_indices.clone(), + ) }; - let mut sort_reader = builder1.with_batch_size(batch_size).with_projection(sort_projection).build()?; + let mut sort_reader = builder1 + .with_batch_size(batch_size) + .with_projection(sort_projection) + .build()?; // Build data reader (only in deferred mode) let data_reader = if deferred { let file2 = File::open(path)?; let builder2 = ParquetRecordBatchReaderBuilder::try_new(file2)?; let data_proj = parquet::arrow::ProjectionMask::roots( - builder2.parquet_schema(), data_projection_indices.clone(), + builder2.parquet_schema(), + data_projection_indices.clone(), ); - Some(builder2.with_batch_size(batch_size).with_projection(data_proj).build()?) + Some( + builder2 + .with_batch_size(batch_size) + .with_projection(data_proj) + .build()?, + ) } else { None }; // Projected schema from file metadata let projected_schema = Arc::new(ArrowSchema::new( - data_projection_indices.iter().map(|&i| schema.field(i).clone()).collect::>() + data_projection_indices + .iter() + .map(|&i| schema.field(i).clone()) + .collect::>(), )); // Read first sort batch let first_sort_batch = match sort_reader.next() { Some(Ok(b)) if b.num_rows() > 0 => b, Some(Err(e)) => return Err(e.into()), - _ => return Err(MergeError::Logic(format!( - "File '{}' (cursor {}) yielded no rows", path, file_id - ))), + _ => { + return Err(MergeError::Logic(format!( + "File '{}' (cursor {}) yielded no rows", + path, file_id + ))) + } }; // Resolve sort column indices within the sort batch schema let sort_batch_schema = first_sort_batch.schema(); - let sort_col_indices: Vec = sort_columns.iter() - .map(|col| sort_batch_schema.fields().iter() - .position(|f| f.name() == col.as_str()) - .ok_or_else(|| MergeError::Logic(format!( - "Sort column '{}' not found in projected batch for file '{}'", col, path - ))) - ) + let sort_col_indices: Vec = sort_columns + .iter() + .map(|col| { + sort_batch_schema + .fields() + .iter() + .position(|f| f.name() == col.as_str()) + .ok_or_else(|| { + MergeError::Logic(format!( + "Sort column '{}' not found in projected batch for file '{}'", + col, path + )) + }) + }) .collect::>()?; let (sort_prefetch_tx, sort_prefetch_rx) = @@ -174,7 +217,13 @@ impl FileCursor { cursor.current_sort_batch_bytes = batch_bytes; cursor.start_sort_prefetch(); - Ok((cursor, projected_schema, parquet_schema_descr, writer_generation, total_row_count)) + Ok(( + cursor, + projected_schema, + parquet_schema_descr, + writer_generation, + total_row_count, + )) } fn start_sort_prefetch(&mut self) { @@ -268,7 +317,9 @@ impl FileCursor { } fn try_load_data(&mut self, reservation: &mut MemoryReservation) -> MergeResult<()> { - let reader = self.data_reader.as_mut() + let reader = self + .data_reader + .as_mut() .ok_or_else(|| MergeError::Logic("Data reader already closed".into()))?; // Release previous data_batch — about to load a new one @@ -293,7 +344,9 @@ impl FileCursor { if batch.num_rows() != sb.num_rows() { return Err(MergeError::Logic(format!( "Data batch rows ({}) != sort batch rows ({}) at index {}", - batch.num_rows(), sb.num_rows(), self.sort_batch_index + batch.num_rows(), + sb.num_rows(), + self.sort_batch_index ))); } } @@ -307,10 +360,12 @@ impl FileCursor { self.data_batch_index += 1; } Some(Err(e)) => return Err(e.into()), - None => return Err(MergeError::Logic(format!( - "Data reader exhausted at position {}, needed sort_batch_index={}", - self.data_batch_index, self.sort_batch_index - ))), + None => { + return Err(MergeError::Logic(format!( + "Data reader exhausted at position {}, needed sort_batch_index={}", + self.data_batch_index, self.sort_batch_index + ))) + } } } Ok(()) @@ -318,16 +373,32 @@ impl FileCursor { #[inline] pub fn current_sort_values(&self) -> MergeResult> { - let batch = self.sort_batch.as_ref() + let batch = self + .sort_batch + .as_ref() .ok_or_else(|| MergeError::Logic("Cursor exhausted".into()))?; - get_sort_values(batch, self.row_idx, &self.sort_col_indices, &self.sort_col_types, &self.nulls_first) + get_sort_values( + batch, + self.row_idx, + &self.sort_col_indices, + &self.sort_col_types, + &self.nulls_first, + ) } #[inline] pub fn last_sort_values(&self) -> MergeResult> { - let batch = self.sort_batch.as_ref() + let batch = self + .sort_batch + .as_ref() .ok_or_else(|| MergeError::Logic("Cursor exhausted".into()))?; - get_sort_values(batch, batch.num_rows() - 1, &self.sort_col_indices, &self.sort_col_types, &self.nulls_first) + get_sort_values( + batch, + batch.num_rows() - 1, + &self.sort_col_indices, + &self.sort_col_types, + &self.nulls_first, + ) } #[inline] @@ -336,14 +407,23 @@ impl FileCursor { } #[inline] - pub fn take_slice(&mut self, start: usize, len: usize, reservation: &mut MemoryReservation) -> MergeResult { + pub fn take_slice( + &mut self, + start: usize, + len: usize, + reservation: &mut MemoryReservation, + ) -> MergeResult { if self.deferred { self.ensure_data_loaded(reservation)?; - let batch = self.data_batch.as_ref() + let batch = self + .data_batch + .as_ref() .ok_or_else(|| MergeError::Logic("Data batch not loaded".into()))?; Ok(batch.slice(start, len)) } else { - let batch = self.sort_batch.as_ref() + let batch = self + .sort_batch + .as_ref() .ok_or_else(|| MergeError::Logic("Batch is None".into()))?; Ok(batch.slice(start, len)) } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/heap.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/heap.rs index 55755159bdc1f..c8e28b9e89771 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/heap.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/heap.rs @@ -13,8 +13,8 @@ use arrow::array::{AsArray, RecordBatch}; use arrow::datatypes::{ DataType as ArrowDataType, Date32Type, Date64Type, DurationMicrosecondType, DurationMillisecondType, DurationNanosecondType, DurationSecondType, Float32Type, Float64Type, - Int16Type, Int32Type, Int64Type, Int8Type, TimestampMicrosecondType, - TimestampMillisecondType, TimestampNanosecondType, TimestampSecondType, + Int16Type, Int32Type, Int64Type, Int8Type, TimestampMicrosecondType, TimestampMillisecondType, + TimestampNanosecondType, TimestampSecondType, }; use super::error::{MergeError, MergeResult}; @@ -77,8 +77,12 @@ pub fn cmp_sort_values(a: &[SortKey], b: &[SortKey], reverse_sorts: &[bool]) -> if ord != Ordering::Equal { let reverse = reverse_sorts.get(i).copied().unwrap_or(false); let is_null_cmp = matches!(av, SortKey::NullFirst | SortKey::NullLast) - || matches!(bv, SortKey::NullFirst | SortKey::NullLast); - return if reverse && !is_null_cmp { ord.reverse() } else { ord }; + || matches!(bv, SortKey::NullFirst | SortKey::NullLast); + return if reverse && !is_null_cmp { + ord.reverse() + } else { + ord + }; } } Ordering::Equal @@ -130,7 +134,11 @@ pub fn get_sort_value( ) -> MergeResult { let col = batch.column(col_idx); if col.is_null(row) { - return Ok(if null_first { SortKey::NullFirst } else { SortKey::NullLast }); + return Ok(if null_first { + SortKey::NullFirst + } else { + SortKey::NullLast + }); } let key = match dtype { // Integer types → SortKey::Int @@ -141,25 +149,47 @@ pub fn get_sort_value( ArrowDataType::Date32 => SortKey::Int(col.as_primitive::().value(row) as i64), ArrowDataType::Date64 => SortKey::Int(col.as_primitive::().value(row)), ArrowDataType::Timestamp(unit, _) => SortKey::Int(match unit { - arrow::datatypes::TimeUnit::Second => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Millisecond => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Microsecond => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Nanosecond => col.as_primitive::().value(row), + arrow::datatypes::TimeUnit::Second => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Millisecond => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Microsecond => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Nanosecond => { + col.as_primitive::().value(row) + } }), ArrowDataType::Duration(unit) => SortKey::Int(match unit { - arrow::datatypes::TimeUnit::Second => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Millisecond => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Microsecond => col.as_primitive::().value(row), - arrow::datatypes::TimeUnit::Nanosecond => col.as_primitive::().value(row), + arrow::datatypes::TimeUnit::Second => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Millisecond => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Microsecond => { + col.as_primitive::().value(row) + } + arrow::datatypes::TimeUnit::Nanosecond => { + col.as_primitive::().value(row) + } }), // Float types → SortKey::Float ArrowDataType::Float64 => SortKey::Float(col.as_primitive::().value(row)), - ArrowDataType::Float32 => SortKey::Float(col.as_primitive::().value(row) as f64), + ArrowDataType::Float32 => { + SortKey::Float(col.as_primitive::().value(row) as f64) + } // String types → SortKey::Bytes - ArrowDataType::Utf8 => SortKey::Bytes(col.as_string::().value(row).as_bytes().to_vec()), - ArrowDataType::LargeUtf8 => SortKey::Bytes(col.as_string::().value(row).as_bytes().to_vec()), + ArrowDataType::Utf8 => { + SortKey::Bytes(col.as_string::().value(row).as_bytes().to_vec()) + } + ArrowDataType::LargeUtf8 => { + SortKey::Bytes(col.as_string::().value(row).as_bytes().to_vec()) + } other => { return Err(MergeError::Logic(format!( diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/io_task.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/io_task.rs index ed432fd7c3b58..e2383aba53237 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/io_task.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/io_task.rs @@ -14,13 +14,13 @@ use parquet::file::writer::SerializedFileWriter; use rayon::ThreadPool; +use crate::crc_writer::CrcWriter; +use crate::log_error; +use crate::rate_limited_writer::RateLimitedWriter; +use native_bridge_common::log_info; use tokio::runtime::Runtime; use tokio::sync::{mpsc as tokio_mpsc, oneshot}; use tokio::task::JoinHandle; -use native_bridge_common::log_info; -use crate::crc_writer::CrcWriter; -use crate::rate_limited_writer::RateLimitedWriter; -use crate::log_error; use super::error::{MergeError, MergeResult}; // ============================================================================= @@ -92,9 +92,9 @@ pub enum IoCommand { async fn drain_on_error(rx: &mut tokio_mpsc::Receiver, msg: &str) { while let Some(cmd) = rx.recv().await { if let IoCommand::Close(reply) = cmd { - let _ = reply.send(Err(MergeError::Logic( - format!("Prior IO write failed: {msg}"), - ))); + let _ = reply.send(Err(MergeError::Logic(format!( + "Prior IO write failed: {msg}" + )))); } } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/schema.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/schema.rs index 9cfbb10fd8c7d..73e572f9b951f 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/schema.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/schema.rs @@ -33,18 +33,15 @@ pub fn build_parquet_root_schema( for descr in schema_descriptors { let root = descr.root_schema(); for field in root.get_fields() { - if field.name() != ROW_ID_COLUMN_NAME - && seen_names.insert(field.name().to_string()) - { + if field.name() != ROW_ID_COLUMN_NAME && seen_names.insert(field.name().to_string()) { parquet_fields.push(Arc::new(field.as_ref().clone())); } } } - let row_id_type = - Type::primitive_type_builder(ROW_ID_COLUMN_NAME, parquet::basic::Type::INT64) - .with_repetition(Repetition::REQUIRED) - .build()?; + let row_id_type = Type::primitive_type_builder(ROW_ID_COLUMN_NAME, parquet::basic::Type::INT64) + .with_repetition(Repetition::REQUIRED) + .build()?; parquet_fields.push(Arc::new(row_id_type)); let parquet_root = Type::group_type_builder("schema") @@ -65,7 +62,6 @@ pub fn projection_indices_excluding_row_id(schema: &ArrowSchema) -> Vec { .collect() } - /// Appends a `__row_id__` column with sequential values `[start_id, start_id + N)` /// to the given batch, producing a new batch with the output schema. pub fn append_row_id( @@ -117,7 +113,11 @@ impl ColumnMapping { } } - Self { mapping, target_schema: target_schema.clone(), is_identity } + Self { + mapping, + target_schema: target_schema.clone(), + is_identity, + } } /// Remap a batch using the precomputed mapping. Zero-copy when schemas match. diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs index fb9728aac566c..7e1dbca8586e0 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/sorted.rs @@ -21,8 +21,8 @@ use super::heap::{cmp_sort_values, get_sort_values, HeapItem}; use super::io_task::get_merge_pool; use super::schema::ColumnMapping; -use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; use crate::memory::merge_pool; +use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; /// Performs a streaming k-way merge with an explicit sort direction per column. pub fn merge_sorted( @@ -34,8 +34,18 @@ pub fn merge_sorted( nulls_first: &[bool], output_writer_generation: i64, ) -> super::MergeResult { - let mut reservation = MemoryReservation::new(merge_pool(), "merge_sorted", PoolBehavior::Reject); - merge_sorted_with_pool(input_files, output_path, index_name, sort_columns, reverse_sorts, nulls_first, output_writer_generation, &mut reservation) + let mut reservation = + MemoryReservation::new(merge_pool(), "merge_sorted", PoolBehavior::Reject); + merge_sorted_with_pool( + input_files, + output_path, + index_name, + sort_columns, + reverse_sorts, + nulls_first, + output_writer_generation, + &mut reservation, + ) } /// Performs a streaming k-way merge using the provided memory reservation. @@ -100,8 +110,15 @@ pub fn merge_sorted_with_pool( for (file_id, path) in input_files.iter().enumerate() { log_debug!("[RUST] Opening cursor {} for file: {}", file_id, path); - let (cursor, projected_schema, parquet_descr, generation, row_count) = - FileCursor::new(path, file_id, sort_columns, nulls_first, batch_size, deferred_threshold, reservation)?; + let (cursor, projected_schema, parquet_descr, generation, row_count) = FileCursor::new( + path, + file_id, + sort_columns, + nulls_first, + batch_size, + deferred_threshold, + reservation, + )?; cursors.push(cursor); arrow_schemas.push(projected_schema.as_ref().clone()); parquet_descriptors.push(parquet_descr); @@ -126,7 +143,8 @@ pub fn merge_sorted_with_pool( )?; // Precompute column mappings per cursor (avoids per-batch name lookups) - let col_mappings: Vec = arrow_schemas.iter() + let col_mappings: Vec = arrow_schemas + .iter() .map(|s| ColumnMapping::new(s, ctx.data_schema())) .collect(); @@ -135,7 +153,9 @@ pub fn merge_sorted_with_pool( let total_rows: usize = file_row_counts.iter().sum(); let mapping_bytes = total_rows * std::mem::size_of::(); // Reserve for row-ID mapping Vec — total_rows × 8 bytes, allocated next line - reservation.request(mapping_bytes).map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; + reservation + .request(mapping_bytes) + .map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; let mut mapping: Vec = vec![0i64; total_rows]; let mut gen_keys: Vec = Vec::with_capacity(num_cursors); let mut gen_offsets: Vec = Vec::with_capacity(num_cursors); diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs index 223ea552e3a39..8f1ef0260666d 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/merge/unsorted.rs @@ -19,8 +19,8 @@ use super::context::MergeContext; use super::error::MergeResult; use super::schema::{projection_indices_excluding_row_id, ColumnMapping}; -use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; use crate::memory::merge_pool; +use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; /// Unsorted merge: reads each input file sequentially, pads to union schema, /// rewrites `__row_id__` with globally sequential values. No sorting performed. @@ -30,8 +30,15 @@ pub fn merge_unsorted( index_name: &str, output_writer_generation: i64, ) -> MergeResult { - let mut reservation = MemoryReservation::new(merge_pool(), "merge_unsorted", PoolBehavior::Reject); - merge_unsorted_with_pool(input_files, output_path, index_name, output_writer_generation, &mut reservation) + let mut reservation = + MemoryReservation::new(merge_pool(), "merge_unsorted", PoolBehavior::Reject); + merge_unsorted_with_pool( + input_files, + output_path, + index_name, + output_writer_generation, + &mut reservation, + ) } /// Unsorted merge with an explicit memory reservation. @@ -69,11 +76,17 @@ pub fn merge_unsorted_with_pool( let schema = builder.schema().clone(); let parquet_descr = builder.parquet_schema().clone(); let num_rows = builder.metadata().file_metadata().num_rows() as usize; - let generation = crate::writer_properties_builder::read_writer_generation(builder.metadata().file_metadata(), file_idx); + let generation = crate::writer_properties_builder::read_writer_generation( + builder.metadata().file_metadata(), + file_idx, + ); let projection_indices = projection_indices_excluding_row_id(&schema); let projection = parquet::arrow::ProjectionMask::roots(&parquet_descr, projection_indices); - let reader = builder.with_batch_size(batch_size).with_projection(projection).build()?; + let reader = builder + .with_batch_size(batch_size) + .with_projection(projection) + .build()?; // The reader's schema is the projected schema (__row_id__ excluded). arrow_schemas.push(reader.schema().as_ref().clone()); @@ -97,7 +110,8 @@ pub fn merge_unsorted_with_pool( )?; // Precompute column mappings per reader - let col_mappings: Vec = arrow_schemas.iter() + let col_mappings: Vec = arrow_schemas + .iter() .map(|s| ColumnMapping::new(s, ctx.data_schema())) .collect(); @@ -105,7 +119,9 @@ pub fn merge_unsorted_with_pool( // old_row_id maps directly to new_row_id with a per-file offset. let total_rows: usize = file_row_counts.iter().sum(); let mapping_bytes = total_rows * std::mem::size_of::(); - reservation.request(mapping_bytes).map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; + reservation + .request(mapping_bytes) + .map_err(|e| super::MergeError::Logic(format!("Merge pool exceeded (mapping): {}", e)))?; let mut mapping: Vec = vec![0i64; total_rows]; let mut gen_keys: Vec = Vec::with_capacity(input_files.len()); let mut gen_offsets: Vec = Vec::with_capacity(input_files.len()); diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs index 8ba389d9a6e36..44bf68c277a25 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/native_settings.rs @@ -82,11 +82,14 @@ impl NativeSettings { } pub fn has_field_configs(&self) -> bool { - self.field_configs.as_ref().map_or(false, |configs| !configs.is_empty()) + self.field_configs + .as_ref() + .map_or(false, |configs| !configs.is_empty()) } pub fn get_sort_in_memory_threshold_bytes(&self) -> u64 { - self.sort_in_memory_threshold_bytes.unwrap_or(32 * 1024 * 1024) + self.sort_in_memory_threshold_bytes + .unwrap_or(32 * 1024 * 1024) } pub fn get_merge_batch_size(&self) -> usize { @@ -144,12 +147,15 @@ mod tests { use std::collections::HashMap; let mut field_configs = HashMap::new(); - field_configs.insert("timestamp".to_string(), FieldConfig { - compression_type: Some("SNAPPY".to_string()), - compression_level: None, - encoding_type: None, - ..Default::default() - }); + field_configs.insert( + "timestamp".to_string(), + FieldConfig { + compression_type: Some("SNAPPY".to_string()), + compression_level: None, + encoding_type: None, + ..Default::default() + }, + ); let config = NativeSettings { compression_type: Some("ZSTD".to_string()), field_configs: Some(field_configs), diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/rate_limited_writer.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/rate_limited_writer.rs index 32826276b0fd7..e0afd7d2759af 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/rate_limited_writer.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/rate_limited_writer.rs @@ -209,5 +209,3 @@ impl Write for RateLimitedWriter { self.inner.flush() } } - - diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/test_utils.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/test_utils.rs index 032fd9647ac2c..28efa40fbb249 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/test_utils.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/test_utils.rs @@ -6,12 +6,12 @@ * compatible open source license. */ +use arrow::array::Array; use arrow::array::{Int32Array, StringArray, StructArray}; use arrow::compute::concat_batches; use arrow::datatypes::{DataType, Field, Schema}; use arrow::ffi::{FFI_ArrowArray, FFI_ArrowSchema}; use arrow::record_batch::RecordBatch; -use arrow::array::Array; use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; use std::fs::File; use std::sync::Arc; @@ -39,7 +39,10 @@ pub fn create_test_ffi_data() -> Result<(i64, i64), Box> create_test_ffi_data_with_ids(vec![1, 2, 3], vec![Some("Alice"), Some("Bob"), None]) } -pub fn create_test_ffi_data_with_ids(ids: Vec, names: Vec>) -> Result<(i64, i64), Box> { +pub fn create_test_ffi_data_with_ids( + ids: Vec, + names: Vec>, +) -> Result<(i64, i64), Box> { let schema = Arc::new(Schema::new(vec![ Field::new("id", DataType::Int32, false), Field::new("name", DataType::Utf8, true), @@ -72,15 +75,33 @@ pub fn get_temp_file_path(name: &str) -> (tempfile::TempDir, String) { pub fn create_writer_and_assert_success(filename: &str) -> (Arc, i64) { let (schema, schema_ptr) = create_test_ffi_schema(); - let result = NativeParquetWriter::create_writer(filename.to_string(), "test-index".to_string(), schema_ptr, vec![], vec![], vec![], 0); + let result = NativeParquetWriter::create_writer( + filename.to_string(), + "test-index".to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ); assert!(result.is_ok()); (schema, schema_ptr) } -pub fn create_sorted_writer_and_assert_success(filename: &str, sort_column: &str, reverse: bool) -> (Arc, i64) { +pub fn create_sorted_writer_and_assert_success( + filename: &str, + sort_column: &str, + reverse: bool, +) -> (Arc, i64) { let (schema, schema_ptr) = create_test_ffi_schema(); let result = NativeParquetWriter::create_writer( - filename.to_string(), "test-index".to_string(), schema_ptr, vec![sort_column.to_string()], vec![reverse], vec![false], 0 + filename.to_string(), + "test-index".to_string(), + schema_ptr, + vec![sort_column.to_string()], + vec![reverse], + vec![false], + 0, ); assert!(result.is_ok()); (schema, schema_ptr) @@ -116,7 +137,10 @@ pub fn create_mismatched_ffi_data() -> Result<(i64, i64), Box crate::writer::FinalizeResult { +pub fn close_writer_and_get_metadata( + filename: &str, + schema_ptr: i64, +) -> crate::writer::FinalizeResult { let result = NativeParquetWriter::finalize_writer(filename.to_string()); cleanup_ffi_schema(schema_ptr); result.unwrap().unwrap() @@ -132,7 +156,10 @@ pub fn read_parquet_file(filename: &str) -> Vec { pub fn read_parquet_file_sorted_ids(filename: &str) -> Vec { let batches = read_parquet_file(filename); let combined = concat_batches(&batches[0].schema(), &batches).unwrap(); - let id_col = combined.column(0) - .as_any().downcast_ref::().unwrap(); + let id_col = combined + .column(0) + .as_any() + .downcast_ref::() + .unwrap(); (0..id_col.len()).map(|i| id_col.value(i)).collect() } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/tests/mod.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/tests/mod.rs index 12137031d5591..356116528ab31 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/tests/mod.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/tests/mod.rs @@ -12,10 +12,10 @@ use std::sync::Arc; use std::thread; use tempfile::tempdir; +use crate::native_settings::NativeSettings; use crate::test_utils::*; use crate::writer::NativeParquetWriter; use crate::writer::SETTINGS_STORE; -use crate::native_settings::NativeSettings; use std::fs::File; use std::io::Read; @@ -32,7 +32,15 @@ fn test_create_writer_success() { fn test_create_writer_invalid_path() { let invalid_path = "/invalid/path/that/does/not/exist/test.parquet"; let (_schema, schema_ptr) = create_test_ffi_schema(); - let result = NativeParquetWriter::create_writer(invalid_path.to_string(), "test-index".to_string(), schema_ptr, vec![], vec![], vec![], 0); + let result = NativeParquetWriter::create_writer( + invalid_path.to_string(), + "test-index".to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ); assert!(result.is_err()); cleanup_ffi_schema(schema_ptr); } @@ -40,9 +48,20 @@ fn test_create_writer_invalid_path() { #[test] fn test_create_writer_invalid_schema_pointer() { let (_temp_dir, filename) = get_temp_file_path("invalid_schema.parquet"); - let result = NativeParquetWriter::create_writer(filename, "test-index".to_string(), 0, vec![], vec![], vec![], 0); + let result = NativeParquetWriter::create_writer( + filename, + "test-index".to_string(), + 0, + vec![], + vec![], + vec![], + 0, + ); assert!(result.is_err()); - assert!(result.unwrap_err().to_string().contains("Invalid schema address")); + assert!(result + .unwrap_err() + .to_string() + .contains("Invalid schema address")); } #[test] @@ -50,9 +69,20 @@ fn test_create_writer_multiple_times_same_file() { let (_temp_dir, filename) = get_temp_file_path("duplicate.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success(&filename); let (_, schema_ptr2) = create_test_ffi_schema(); - let result2 = NativeParquetWriter::create_writer(filename.clone(), "test-index".to_string(), schema_ptr2, vec![], vec![], vec![], 0); + let result2 = NativeParquetWriter::create_writer( + filename.clone(), + "test-index".to_string(), + schema_ptr2, + vec![], + vec![], + vec![], + 0, + ); assert!(result2.is_err()); - assert!(result2.unwrap_err().to_string().contains("Writer already exists")); + assert!(result2 + .unwrap_err() + .to_string() + .contains("Writer already exists")); cleanup_ffi_schema(schema_ptr2); close_writer_and_cleanup_schema(&filename, schema_ptr); } @@ -71,7 +101,8 @@ fn test_write_data_success() { #[test] fn test_write_data_no_writer() { let (array_ptr, schema_ptr) = create_test_ffi_data().unwrap(); - let result = NativeParquetWriter::write_data("nonexistent.parquet".to_string(), array_ptr, schema_ptr); + let result = + NativeParquetWriter::write_data("nonexistent.parquet".to_string(), array_ptr, schema_ptr); assert!(result.is_err()); assert!(result.unwrap_err().to_string().contains("Writer not found")); cleanup_ffi_data(array_ptr, schema_ptr); @@ -94,10 +125,16 @@ fn test_write_data_invalid_pointers() { let (_schema, schema_ptr) = create_writer_and_assert_success(&filename); let result = NativeParquetWriter::write_data(filename.clone(), 0, 0); assert!(result.is_err()); - assert!(result.unwrap_err().to_string().contains("Invalid FFI addresses")); + assert!(result + .unwrap_err() + .to_string() + .contains("Invalid FFI addresses")); let result = NativeParquetWriter::write_data(filename.clone(), 0, schema_ptr); assert!(result.is_err()); - assert!(result.unwrap_err().to_string().contains("Invalid FFI addresses")); + assert!(result + .unwrap_err() + .to_string() + .contains("Invalid FFI addresses")); close_writer_and_cleanup_schema(&filename, schema_ptr); } @@ -138,7 +175,10 @@ fn test_finalize_writer_with_data_returns_correct_metadata() { let metadata = result.unwrap().unwrap(); assert_eq!(metadata.metadata.file_metadata().num_rows(), 6); assert!(metadata.metadata.file_metadata().version() > 0); - assert_ne!(metadata.crc32, 0, "CRC32 should be non-zero for a file with data"); + assert_ne!( + metadata.crc32, 0, + "CRC32 should be non-zero for a file with data" + ); cleanup_ffi_schema(schema_ptr); } @@ -159,7 +199,10 @@ fn test_close_multiple_times_same_file() { assert!(result1.is_ok()); let result2 = NativeParquetWriter::finalize_writer(filename); assert!(result2.is_err()); - assert!(result2.unwrap_err().to_string().contains("Writer not found")); + assert!(result2 + .unwrap_err() + .to_string() + .contains("Writer not found")); cleanup_ffi_schema(schema_ptr); } @@ -189,22 +232,25 @@ fn test_sorted_writer_ascending() { let (_temp_dir, filename) = get_temp_file_path("sorted_asc.parquet"); let (_schema, schema_ptr) = create_sorted_writer_and_assert_success(&filename, "id", false); - let (ap1, sp1) = create_test_ffi_data_with_ids( - vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")] - ).unwrap(); + let (ap1, sp1) = + create_test_ffi_data_with_ids(vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")]) + .unwrap(); NativeParquetWriter::write_data(filename.clone(), ap1, sp1).unwrap(); cleanup_ffi_data(ap1, sp1); - let (ap2, sp2) = create_test_ffi_data_with_ids( - vec![20, 40], vec![Some("B"), Some("D")] - ).unwrap(); + let (ap2, sp2) = + create_test_ffi_data_with_ids(vec![20, 40], vec![Some("B"), Some("D")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); cleanup_ffi_data(ap2, sp2); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let ids = read_parquet_file_sorted_ids(&filename); - assert_eq!(ids, vec![10, 20, 30, 40, 50], "Data should be sorted ascending by id"); + assert_eq!( + ids, + vec![10, 20, 30, 40, 50], + "Data should be sorted ascending by id" + ); cleanup_ffi_schema(schema_ptr); } @@ -214,22 +260,25 @@ fn test_sorted_writer_descending() { let (_temp_dir, filename) = get_temp_file_path("sorted_desc.parquet"); let (_schema, schema_ptr) = create_sorted_writer_and_assert_success(&filename, "id", true); - let (ap1, sp1) = create_test_ffi_data_with_ids( - vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")] - ).unwrap(); + let (ap1, sp1) = + create_test_ffi_data_with_ids(vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")]) + .unwrap(); NativeParquetWriter::write_data(filename.clone(), ap1, sp1).unwrap(); cleanup_ffi_data(ap1, sp1); - let (ap2, sp2) = create_test_ffi_data_with_ids( - vec![20, 40], vec![Some("B"), Some("D")] - ).unwrap(); + let (ap2, sp2) = + create_test_ffi_data_with_ids(vec![20, 40], vec![Some("B"), Some("D")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); cleanup_ffi_data(ap2, sp2); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let ids = read_parquet_file_sorted_ids(&filename); - assert_eq!(ids, vec![50, 40, 30, 20, 10], "Data should be sorted descending by id"); + assert_eq!( + ids, + vec![50, 40, 30, 20, 10], + "Data should be sorted descending by id" + ); cleanup_ffi_schema(schema_ptr); } @@ -239,22 +288,25 @@ fn test_unsorted_writer_preserves_insertion_order() { let (_temp_dir, filename) = get_temp_file_path("unsorted.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success(&filename); - let (ap1, sp1) = create_test_ffi_data_with_ids( - vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")] - ).unwrap(); + let (ap1, sp1) = + create_test_ffi_data_with_ids(vec![30, 10, 50], vec![Some("C"), Some("A"), Some("E")]) + .unwrap(); NativeParquetWriter::write_data(filename.clone(), ap1, sp1).unwrap(); cleanup_ffi_data(ap1, sp1); - let (ap2, sp2) = create_test_ffi_data_with_ids( - vec![20, 40], vec![Some("B"), Some("D")] - ).unwrap(); + let (ap2, sp2) = + create_test_ffi_data_with_ids(vec![20, 40], vec![Some("B"), Some("D")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); cleanup_ffi_data(ap2, sp2); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let ids = read_parquet_file_sorted_ids(&filename); - assert_eq!(ids, vec![30, 10, 50, 20, 40], "Data should preserve insertion order"); + assert_eq!( + ids, + vec![30, 10, 50, 20, 40], + "Data should preserve insertion order" + ); cleanup_ffi_schema(schema_ptr); } @@ -268,16 +320,24 @@ fn test_ipc_staging_sorted_writer_creates_and_cleans_up_staging_file() { // With eager sort-and-write, no staging file exists until a chunk is flushed. // The writer accumulates in memory. Verify the writer is open. - assert!(NativeParquetWriter::has_writer(&filename), "Writer should be open"); + assert!( + NativeParquetWriter::has_writer(&filename), + "Writer should be open" + ); - let (ap, sp) = create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]).unwrap(); + let (ap, sp) = + create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]) + .unwrap(); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); cleanup_ffi_data(ap, sp); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); // The final Parquet file should exist - assert!(Path::new(&filename).exists(), "Final Parquet file should exist"); + assert!( + Path::new(&filename).exists(), + "Final Parquet file should exist" + ); // Verify data is sorted let ids = read_parquet_file_sorted_ids(&filename); @@ -291,7 +351,10 @@ fn test_ipc_staging_has_writer_returns_true() { let (_temp_dir, filename) = get_temp_file_path("ipc_has_writer.parquet"); let (_schema, schema_ptr) = create_sorted_writer_and_assert_success(&filename, "id", false); - assert!(NativeParquetWriter::has_writer(&filename), "has_writer should return true for IPC writer"); + assert!( + NativeParquetWriter::has_writer(&filename), + "has_writer should return true for IPC writer" + ); close_writer_and_cleanup_schema(&filename, schema_ptr); } @@ -303,11 +366,19 @@ fn test_ipc_staging_duplicate_writer_rejected() { let (_, schema_ptr2) = create_test_ffi_schema(); let result = NativeParquetWriter::create_writer( - filename.clone(), "test-index".to_string(), schema_ptr2, - vec!["id".to_string()], vec![false], vec![false], 0 + filename.clone(), + "test-index".to_string(), + schema_ptr2, + vec!["id".to_string()], + vec![false], + vec![false], + 0, ); assert!(result.is_err()); - assert!(result.unwrap_err().to_string().contains("Writer already exists")); + assert!(result + .unwrap_err() + .to_string() + .contains("Writer already exists")); cleanup_ffi_schema(schema_ptr2); close_writer_and_cleanup_schema(&filename, schema_ptr); @@ -321,7 +392,10 @@ fn test_ipc_staging_empty_data_produces_valid_parquet() { // Finalize without writing any data let result = NativeParquetWriter::finalize_writer(filename.clone()); assert!(result.is_ok()); - assert!(Path::new(&filename).exists(), "Empty Parquet file should be created"); + assert!( + Path::new(&filename).exists(), + "Empty Parquet file should be created" + ); let metadata = result.unwrap().unwrap(); assert_eq!(metadata.metadata.file_metadata().num_rows(), 0); @@ -335,22 +409,29 @@ fn test_ipc_staging_multi_batch_sort() { let (_schema, schema_ptr) = create_sorted_writer_and_assert_success(&filename, "id", false); // Write multiple batches with interleaved values - let (ap1, sp1) = create_test_ffi_data_with_ids(vec![50, 10], vec![Some("E"), Some("A")]).unwrap(); + let (ap1, sp1) = + create_test_ffi_data_with_ids(vec![50, 10], vec![Some("E"), Some("A")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap1, sp1).unwrap(); cleanup_ffi_data(ap1, sp1); - let (ap2, sp2) = create_test_ffi_data_with_ids(vec![30, 20], vec![Some("C"), Some("B")]).unwrap(); + let (ap2, sp2) = + create_test_ffi_data_with_ids(vec![30, 20], vec![Some("C"), Some("B")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); cleanup_ffi_data(ap2, sp2); - let (ap3, sp3) = create_test_ffi_data_with_ids(vec![40, 60], vec![Some("D"), Some("F")]).unwrap(); + let (ap3, sp3) = + create_test_ffi_data_with_ids(vec![40, 60], vec![Some("D"), Some("F")]).unwrap(); NativeParquetWriter::write_data(filename.clone(), ap3, sp3).unwrap(); cleanup_ffi_data(ap3, sp3); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let ids = read_parquet_file_sorted_ids(&filename); - assert_eq!(ids, vec![10, 20, 30, 40, 50, 60], "Multiple IPC batches should be sorted correctly"); + assert_eq!( + ids, + vec![10, 20, 30, 40, 50, 60], + "Multiple IPC batches should be sorted correctly" + ); cleanup_ffi_schema(schema_ptr); } @@ -360,14 +441,20 @@ fn test_ipc_staging_descending_sort() { let (_temp_dir, filename) = get_temp_file_path("ipc_desc.parquet"); let (_schema, schema_ptr) = create_sorted_writer_and_assert_success(&filename, "id", true); - let (ap, sp) = create_test_ffi_data_with_ids(vec![10, 30, 20], vec![Some("A"), Some("C"), Some("B")]).unwrap(); + let (ap, sp) = + create_test_ffi_data_with_ids(vec![10, 30, 20], vec![Some("A"), Some("C"), Some("B")]) + .unwrap(); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); cleanup_ffi_data(ap, sp); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let ids = read_parquet_file_sorted_ids(&filename); - assert_eq!(ids, vec![30, 20, 10], "IPC path should support descending sort"); + assert_eq!( + ids, + vec![30, 20, 10], + "IPC path should support descending sort" + ); cleanup_ffi_schema(schema_ptr); } @@ -382,11 +469,15 @@ fn test_ipc_and_parquet_writers_coexist() { let (_schema2, sp2) = create_writer_and_assert_success(&unsorted_file); // Write to both - let (ap1, dp1) = create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]).unwrap(); + let (ap1, dp1) = + create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]) + .unwrap(); NativeParquetWriter::write_data(sorted_file.clone(), ap1, dp1).unwrap(); cleanup_ffi_data(ap1, dp1); - let (ap2, dp2) = create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]).unwrap(); + let (ap2, dp2) = + create_test_ffi_data_with_ids(vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")]) + .unwrap(); NativeParquetWriter::write_data(unsorted_file.clone(), ap2, dp2).unwrap(); cleanup_ffi_data(ap2, dp2); @@ -422,17 +513,28 @@ fn test_ipc_staging_concurrent_sorted_writers() { let (_schema, schema_ptr) = create_test_ffi_schema(); if NativeParquetWriter::create_writer( - filename.clone(), "test-index".to_string(), schema_ptr, - vec!["id".to_string()], vec![false], vec![false], 0 - ).is_ok() { + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec!["id".to_string()], + vec![false], + vec![false], + 0, + ) + .is_ok() + { let (ap, sp) = create_test_ffi_data_with_ids( - vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")] - ).unwrap(); + vec![30, 10, 20], + vec![Some("C"), Some("A"), Some("B")], + ) + .unwrap(); let write_ok = NativeParquetWriter::write_data(filename.clone(), ap, sp).is_ok(); cleanup_ffi_data(ap, sp); if write_ok { - if let Ok(Some(metadata)) = NativeParquetWriter::finalize_writer(filename.clone()) { + if let Ok(Some(metadata)) = + NativeParquetWriter::finalize_writer(filename.clone()) + { if metadata.metadata.file_metadata().num_rows() == 3 { let ids = read_parquet_file_sorted_ids(&filename); if ids == vec![10, 20, 30] { @@ -505,7 +607,9 @@ fn compute_file_crc32(path: &str) -> u32 { let mut buf = [0u8; 64 * 1024]; loop { let n = file.read(&mut buf).unwrap(); - if n == 0 { break; } + if n == 0 { + break; + } hasher.update(&buf[..n]); } hasher.finalize() @@ -573,7 +677,17 @@ fn test_concurrent_writer_creation() { let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_test_ffi_schema(); - if NativeParquetWriter::create_writer(filename.clone(), "test-index".to_string(), schema_ptr, vec![], vec![], vec![], 0).is_ok() { + if NativeParquetWriter::create_writer( + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ) + .is_ok() + { success_count.fetch_add(1, Ordering::SeqCst); let (ap, sp) = create_test_ffi_data().unwrap(); let _ = NativeParquetWriter::write_data(filename.clone(), ap, sp); @@ -663,7 +777,9 @@ fn test_concurrent_writes_different_files() { let mut schema_ptrs = vec![]; for i in 0..file_count { - let file_path = temp_dir.path().join(format!("concurrent_write_{}.parquet", i)); + let file_path = temp_dir + .path() + .join(format!("concurrent_write_{}.parquet", i)); let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_writer_and_assert_success(&filename); filenames.push(filename); @@ -677,7 +793,9 @@ fn test_concurrent_writes_different_files() { let handle = thread::spawn(move || { for _ in 0..2 { let (array_ptr, data_schema_ptr) = create_test_ffi_data().unwrap(); - if NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr).is_ok() { + if NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr) + .is_ok() + { success_count.fetch_add(1, Ordering::SeqCst); } cleanup_ffi_data(array_ptr, data_schema_ptr); @@ -715,13 +833,20 @@ fn test_bloom_filter_false_propagates_through_settings_store() { let (_temp_dir, filename) = get_temp_file_path("bloom_test.parquet"); let (_schema, schema_ptr) = create_test_ffi_schema(); let result = NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, vec![], vec![], vec![], 0 + filename.clone(), + index_name.to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, ); assert!(result.is_ok()); let stored_after = SETTINGS_STORE.get(index_name).unwrap(); assert_eq!( - stored_after.bloom_filter_enabled, Some(false), + stored_after.bloom_filter_enabled, + Some(false), "bloom_filter_enabled should remain false after create_writer, but got: {:?}", stored_after.bloom_filter_enabled ); @@ -739,13 +864,20 @@ fn test_bloom_filter_default_when_no_settings() { let (_temp_dir, filename) = get_temp_file_path("bloom_default.parquet"); let (_schema, schema_ptr) = create_test_ffi_schema(); let result = NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, vec![], vec![], vec![], 0 + filename.clone(), + index_name.to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, ); assert!(result.is_ok()); let stored = SETTINGS_STORE.get(index_name).unwrap(); assert_eq!( - stored.get_bloom_filter_enabled(), false, + stored.get_bloom_filter_enabled(), + false, "Default bloom_filter_enabled should be false when no settings exist" ); drop(stored); @@ -777,25 +909,29 @@ fn run_sort_permutation_test(_use_large_file: bool, _label: &str) { #[allow(dead_code)] /// Helper: creates an IPC file with (age: Int64, __row_id__: Int64) columns. fn create_test_ipc_file(dir: &Path, ages: &[i64], row_ids: &[i64]) -> String { + use crate::merge::schema::ROW_ID_COLUMN_NAME; use arrow::array::Int64Array; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; use arrow_ipc::writer::FileWriter as IpcFileWriter; - use crate::merge::schema::ROW_ID_COLUMN_NAME; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int64, false), Field::new(ROW_ID_COLUMN_NAME, DataType::Int64, false), ])); - let ipc_path = dir.join("staging.arrow_ipc_staging").to_string_lossy().to_string(); + let ipc_path = dir + .join("staging.arrow_ipc_staging") + .to_string_lossy() + .to_string(); let batch = RecordBatch::try_new( schema.clone(), vec![ Arc::new(Int64Array::from(ages.to_vec())), Arc::new(Int64Array::from(row_ids.to_vec())), ], - ).unwrap(); + ) + .unwrap(); let file = File::create(&ipc_path).unwrap(); let mut ipc_writer = IpcFileWriter::try_new(file, &schema).unwrap(); @@ -814,8 +950,8 @@ fn create_test_ipc_file(dir: &Path, ages: &[i64], row_ids: &[i64]) -> String { /// Helper: creates FFI schema pointer for a schema with (age: Int32, name: Utf8, __row_id__: Int64). fn create_row_id_schema_ptr() -> (Arc, i64) { - use arrow::datatypes::{DataType, Field, Schema}; use crate::merge::schema::ROW_ID_COLUMN_NAME; + use arrow::datatypes::{DataType, Field, Schema}; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, false), @@ -834,10 +970,10 @@ fn create_ffi_data_with_row_id( names: Vec>, row_ids: Vec, ) -> (i64, i64) { + use crate::merge::schema::ROW_ID_COLUMN_NAME; use arrow::array::{Array, Int32Array, Int64Array, StringArray}; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; - use crate::merge::schema::ROW_ID_COLUMN_NAME; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, false), @@ -847,10 +983,8 @@ fn create_ffi_data_with_row_id( let age_array: Arc = Arc::new(Int32Array::from(ages)); let name_array: Arc = Arc::new(StringArray::from(names)); let row_id_array: Arc = Arc::new(Int64Array::from(row_ids)); - let record_batch = RecordBatch::try_new( - schema.clone(), - vec![age_array, name_array, row_id_array], - ).unwrap(); + let record_batch = + RecordBatch::try_new(schema.clone(), vec![age_array, name_array, row_id_array]).unwrap(); let struct_array = arrow::array::StructArray::from(record_batch); let (ffi_array, ffi_schema) = arrow::ffi::to_ffi(&struct_array.to_data()).unwrap(); let array_ptr = Box::into_raw(Box::new(ffi_array)) as i64; @@ -860,18 +994,23 @@ fn create_ffi_data_with_row_id( /// Helper: reads a Parquet file and returns the __row_id__ column values. fn read_row_ids_from_parquet(filename: &str) -> Vec { + use crate::merge::schema::ROW_ID_COLUMN_NAME; use arrow::array::Int64Array; use arrow::compute::concat_batches; - use crate::merge::schema::ROW_ID_COLUMN_NAME; let batches = read_parquet_file(filename); if batches.is_empty() { return vec![]; } let combined = concat_batches(&batches[0].schema(), &batches).unwrap(); - let idx = combined.schema().index_of(ROW_ID_COLUMN_NAME) + let idx = combined + .schema() + .index_of(ROW_ID_COLUMN_NAME) .expect("__row_id__ column should exist"); - let col = combined.column(idx).as_any().downcast_ref::() + let col = combined + .column(idx) + .as_any() + .downcast_ref::() .expect("__row_id__ should be Int64"); (0..col.len()).map(|i| col.value(i)).collect() } @@ -886,8 +1025,14 @@ fn read_ages_from_parquet(filename: &str) -> Vec { return vec![]; } let combined = concat_batches(&batches[0].schema(), &batches).unwrap(); - let idx = combined.schema().index_of("age").expect("age column should exist"); - let col = combined.column(idx).as_any().downcast_ref::() + let idx = combined + .schema() + .index_of("age") + .expect("age column should exist"); + let col = combined + .column(idx) + .as_any() + .downcast_ref::() .expect("age should be Int32"); (0..col.len()).map(|i| col.value(i)).collect() } @@ -910,8 +1055,13 @@ fn test_chunked_writer_single_chunk_row_ids_sequential() { // Create writer with sort on "age" ascending let (_schema, schema_ptr) = create_row_id_schema_ptr(); let result = NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, ); assert!(result.is_ok(), "create_writer failed: {:?}", result.err()); @@ -922,26 +1072,40 @@ fn test_chunked_writer_single_chunk_row_ids_sequential() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify output is sorted by age ascending let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50], "Output should be sorted by age ASC"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50], + "Output should be sorted by age ASC" + ); // Verify __row_id__ is sequential 0..N let row_ids = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..5).collect(); - assert_eq!(row_ids, expected_sequential, "__row_id__ should be sequential 0..4"); + assert_eq!( + row_ids, expected_sequential, + "__row_id__ should be sequential 0..4" + ); // Verify permutation mapping // Original: age=[30,10,50,20,40], row_ids=[0,1,2,3,4] // Sorted: age=[10,20,30,40,50] → original row_ids were [1,3,0,4,2] // mapping[original_row_id] = new_position // mapping[0]=2, mapping[1]=0, mapping[2]=4, mapping[3]=1, mapping[4]=3 - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping.len(), 5); - assert_eq!(mapping, vec![2, 0, 4, 1, 3], - "Permutation mapping should map original row IDs to new sorted positions"); + assert_eq!( + mapping, + vec![2, 0, 4, 1, 3], + "Permutation mapping should map original row IDs to new sorted positions" + ); SETTINGS_STORE.remove(index_name); } @@ -963,34 +1127,58 @@ fn test_chunked_writer_multi_chunk_row_ids_sequential() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); let result = NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, ); assert!(result.is_ok(), "create_writer failed: {:?}", result.err()); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify output is sorted by age ascending let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![5, 10, 15, 20, 30, 35, 40, 45, 50, 60], - "Output should be sorted by age ASC"); + assert_eq!( + ages, + vec![5, 10, 15, 20, 30, 35, 40, 45, 50, 60], + "Output should be sorted by age ASC" + ); // Verify __row_id__ is sequential 0..N let row_ids = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..10).collect(); - assert_eq!(row_ids, expected_sequential, - "__row_id__ should be sequential 0..9 in merged output"); + assert_eq!( + row_ids, expected_sequential, + "__row_id__ should be sequential 0..9 in merged output" + ); // Verify permutation mapping exists and has correct length - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping.len(), 10); // Verify permutation correctness: @@ -1003,8 +1191,10 @@ fn test_chunked_writer_multi_chunk_row_ids_sequential() { // mapping[6]=0 (age=5→pos0), mapping[7]=7 (age=45→pos7), mapping[8]=5 (age=35→pos5) // mapping[9]=2 (age=15→pos2) let expected_mapping: Vec = vec![8, 4, 1, 6, 3, 9, 0, 7, 5, 2]; - assert_eq!(mapping, expected_mapping, - "Permutation mapping should correctly map original row IDs to sorted positions"); + assert_eq!( + mapping, expected_mapping, + "Permutation mapping should correctly map original row IDs to sorted positions" + ); SETTINGS_STORE.remove(index_name); } @@ -1024,9 +1214,15 @@ fn test_chunked_writer_multi_chunk_descending_sort() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![true], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![true], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![10, 50, 30, 20, 40], @@ -1035,22 +1231,33 @@ fn test_chunked_writer_multi_chunk_descending_sort() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify output is sorted by age descending let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![50, 40, 30, 20, 10], "Output should be sorted by age DESC"); + assert_eq!( + ages, + vec![50, 40, 30, 20, 10], + "Output should be sorted by age DESC" + ); // Verify __row_id__ is sequential 0..N let row_ids = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..5).collect(); - assert_eq!(row_ids, expected_sequential, "__row_id__ should be sequential 0..4"); + assert_eq!( + row_ids, expected_sequential, + "__row_id__ should be sequential 0..4" + ); // Verify permutation: // Original: age=[10,50,30,20,40], row_ids=[0,1,2,3,4] // Sorted DESC: age=[50,40,30,20,10] → original row_ids [1,4,2,3,0] // mapping[0]=4, mapping[1]=0, mapping[2]=2, mapping[3]=3, mapping[4]=1 - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping, vec![4, 0, 2, 3, 1]); SETTINGS_STORE.remove(index_name); @@ -1073,9 +1280,15 @@ fn test_chunked_writer_multiple_write_calls() { // First batch: row_ids 0..4 let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap1, sp1) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20], @@ -1092,21 +1305,30 @@ fn test_chunked_writer_multiple_write_calls() { ); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sorted output let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 15, 20, 25, 30, 35, 40, 45, 50, 55], - "Output should be globally sorted by age ASC"); + assert_eq!( + ages, + vec![10, 15, 20, 25, 30, 35, 40, 45, 50, 55], + "Output should be globally sorted by age ASC" + ); // Verify sequential row IDs let row_ids = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..10).collect(); - assert_eq!(row_ids, expected_sequential, - "__row_id__ should be sequential 0..9"); + assert_eq!( + row_ids, expected_sequential, + "__row_id__ should be sequential 0..9" + ); // Verify permutation mapping - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping.len(), 10); // Original: age=[50,30,10,40,20,25,55,15,35,45], row_ids=[0..9] @@ -1115,8 +1337,10 @@ fn test_chunked_writer_multiple_write_calls() { // mapping[0]=8, mapping[1]=4, mapping[2]=0, mapping[3]=6, mapping[4]=2 // mapping[5]=3, mapping[6]=9, mapping[7]=1, mapping[8]=5, mapping[9]=7 let expected_mapping: Vec = vec![8, 4, 0, 6, 2, 3, 9, 1, 5, 7]; - assert_eq!(mapping, expected_mapping, - "Permutation should correctly map across multiple write calls"); + assert_eq!( + mapping, expected_mapping, + "Permutation should correctly map across multiple write calls" + ); SETTINGS_STORE.remove(index_name); } @@ -1137,16 +1361,29 @@ fn test_chunked_writer_empty_finalize() { // Just create the writer with the schema, don't write data let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); + + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); - - assert_eq!(finalize_result.metadata.file_metadata().num_rows(), 0, - "Empty writer should produce 0-row Parquet"); - assert!(finalize_result.row_id_mapping.is_none(), - "Empty writer should have no row_id_mapping"); + assert_eq!( + finalize_result.metadata.file_metadata().num_rows(), + 0, + "Empty writer should produce 0-row Parquet" + ); + assert!( + finalize_result.row_id_mapping.is_none(), + "Empty writer should have no row_id_mapping" + ); SETTINGS_STORE.remove(index_name); } @@ -1171,16 +1408,22 @@ fn test_chunked_writer_permutation_is_invertible() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); - - let (ap, sp) = create_ffi_data_with_row_id( - original_ages.clone(), names, row_ids, - ); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); + + let (ap, sp) = create_ffi_data_with_row_id(original_ages.clone(), names, row_ids); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); let mapping = finalize_result.row_id_mapping.expect("Should have mapping"); assert_eq!(mapping.len(), 10); @@ -1194,15 +1437,19 @@ fn test_chunked_writer_permutation_is_invertible() { let mut sorted_mapping = mapping.clone(); sorted_mapping.sort(); let expected_perm: Vec = (0..10).collect(); - assert_eq!(sorted_mapping, expected_perm, - "Mapping should be a valid permutation of 0..N"); + assert_eq!( + sorted_mapping, expected_perm, + "Mapping should be a valid permutation of 0..N" + ); // Verify: original_ages[i] should appear at position mapping[i] in sorted output for i in 0..10 { let new_pos = mapping[i] as usize; - assert_eq!(sorted_ages[new_pos], original_ages[i], + assert_eq!( + sorted_ages[new_pos], original_ages[i], "original_ages[{}]={} should be at sorted position {}, but found {}", - i, original_ages[i], new_pos, sorted_ages[new_pos]); + i, original_ages[i], new_pos, sorted_ages[new_pos] + ); } SETTINGS_STORE.remove(index_name); @@ -1228,28 +1475,41 @@ fn test_chunked_writer_large_dataset_multi_chunk() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); - - let (ap, sp) = create_ffi_data_with_row_id( - ages.clone(), names, row_ids, - ); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); + + let (ap, sp) = create_ffi_data_with_row_id(ages.clone(), names, row_ids); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify output is sorted let sorted_ages = read_ages_from_parquet(&filename); let mut expected_sorted = ages.clone(); expected_sorted.sort(); - assert_eq!(sorted_ages, expected_sorted, "Output should be sorted ascending"); + assert_eq!( + sorted_ages, expected_sorted, + "Output should be sorted ascending" + ); // Verify sequential row IDs let row_ids_in_file = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..num_rows as i64).collect(); - assert_eq!(row_ids_in_file, expected_sequential, - "__row_id__ should be sequential 0..{}", num_rows - 1); + assert_eq!( + row_ids_in_file, + expected_sequential, + "__row_id__ should be sequential 0..{}", + num_rows - 1 + ); // Verify permutation let mapping = finalize_result.row_id_mapping.expect("Should have mapping"); @@ -1258,13 +1518,19 @@ fn test_chunked_writer_large_dataset_multi_chunk() { // Verify it's a valid permutation let mut sorted_mapping = mapping.clone(); sorted_mapping.sort(); - assert_eq!(sorted_mapping, expected_sequential, "Mapping should be a valid permutation"); + assert_eq!( + sorted_mapping, expected_sequential, + "Mapping should be a valid permutation" + ); // Verify correctness: original_ages[i] at sorted position mapping[i] for i in 0..num_rows as usize { let new_pos = mapping[i] as usize; - assert_eq!(sorted_ages[new_pos], ages[i], - "ages[{}]={} should be at sorted position {}", i, ages[i], new_pos); + assert_eq!( + sorted_ages[new_pos], ages[i], + "ages[{}]={} should be at sorted position {}", + i, ages[i], new_pos + ); } SETTINGS_STORE.remove(index_name); @@ -1279,13 +1545,12 @@ fn read_writer_generation_from_parquet(filename: &str) -> Option { let file = File::open(filename).unwrap(); let reader = SerializedFileReader::new(file).unwrap(); let metadata = reader.metadata().file_metadata(); - metadata.key_value_metadata() - .and_then(|kvs| { - kvs.iter() - .find(|kv| kv.key == "opensearch.writer_generation") - .and_then(|kv| kv.value.as_ref()) - .and_then(|v| v.parse::().ok()) - }) + metadata.key_value_metadata().and_then(|kvs| { + kvs.iter() + .find(|kv| kv.key == "opensearch.writer_generation") + .and_then(|kv| kv.value.as_ref()) + .and_then(|v| v.parse::().ok()) + }) } /// Test: writer_generation is stored in Parquet metadata for sorted single-chunk output. @@ -1304,9 +1569,15 @@ fn test_chunked_writer_generation_in_metadata_single_chunk() { let writer_generation = 42i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 20], @@ -1317,7 +1588,11 @@ fn test_chunked_writer_generation_in_metadata_single_chunk() { NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(42), "writer_generation=42 should be in Parquet metadata"); + assert_eq!( + gen, + Some(42), + "writer_generation=42 should be in Parquet metadata" + ); SETTINGS_STORE.remove(index_name); } @@ -1341,14 +1616,30 @@ fn test_chunked_writer_generation_in_metadata_multi_chunk() { let writer_generation = 7i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); @@ -1357,8 +1648,11 @@ fn test_chunked_writer_generation_in_metadata_multi_chunk() { // Previously writer_generation was lost in the k-way merge path. This has been fixed — // merge_sorted now propagates writer_generation into the output file metadata. let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(7), - "writer_generation should be propagated in multi-chunk merge path"); + assert_eq!( + gen, + Some(7), + "writer_generation should be propagated in multi-chunk merge path" + ); // Data correctness is still maintained let ages = read_ages_from_parquet(&filename); @@ -1386,20 +1680,27 @@ fn test_chunked_writer_generation_zero() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); - - let (ap, sp) = create_ffi_data_with_row_id( - vec![20, 10], - vec![Some("B"), Some("A")], - vec![0, 1], - ); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); + + let (ap, sp) = + create_ffi_data_with_row_id(vec![20, 10], vec![Some("B"), Some("A")], vec![0, 1]); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(0), "writer_generation=0 should be stored in metadata"); + assert_eq!( + gen, + Some(0), + "writer_generation=0 should be stored in metadata" + ); SETTINGS_STORE.remove(index_name); } @@ -1420,24 +1721,44 @@ fn test_chunked_writer_generation_large_value() { let writer_generation = 999_999i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![80, 20, 60, 40, 10, 90, 50, 30, 70], - vec![Some("H"), Some("B"), Some("F"), Some("D"), Some("A"), - Some("I"), Some("E"), Some("C"), Some("G")], + vec![ + Some("H"), + Some("B"), + Some("F"), + Some("D"), + Some("A"), + Some("I"), + Some("E"), + Some("C"), + Some("G"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify writer_generation in metadata let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(999_999), - "Large writer_generation should be preserved in Parquet metadata"); + assert_eq!( + gen, + Some(999_999), + "Large writer_generation should be preserved in Parquet metadata" + ); // Verify sort correctness let ages = read_ages_from_parquet(&filename); @@ -1474,9 +1795,15 @@ fn test_unsorted_writer_generation_in_metadata() { let (_, schema_ptr) = create_row_id_schema_ptr(); // No sort columns — uses direct Parquet writer path NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec![], vec![], vec![], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec![], + vec![], + vec![], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 20], @@ -1487,8 +1814,11 @@ fn test_unsorted_writer_generation_in_metadata() { NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(17), - "writer_generation should be in metadata for unsorted writer too"); + assert_eq!( + gen, + Some(17), + "writer_generation should be in metadata for unsorted writer too" + ); // Unsorted: data should preserve insertion order let ages = read_ages_from_parquet(&filename); @@ -1514,9 +1844,15 @@ fn test_chunked_writer_crc32_single_chunk() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 50, 20, 40], @@ -1525,16 +1861,22 @@ fn test_chunked_writer_crc32_single_chunk() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // CRC should be non-zero for a file with data - assert_ne!(finalize_result.crc32, 0, - "CRC32 should be non-zero for single-chunk sorted output"); + assert_ne!( + finalize_result.crc32, 0, + "CRC32 should be non-zero for single-chunk sorted output" + ); // Verify CRC matches actual file content let actual_crc = compute_file_crc32(&filename); - assert_eq!(finalize_result.crc32, actual_crc, - "CRC32 from finalize should match recomputed CRC of the file on disk"); + assert_eq!( + finalize_result.crc32, actual_crc, + "CRC32 from finalize should match recomputed CRC of the file on disk" + ); SETTINGS_STORE.remove(index_name); } @@ -1554,25 +1896,45 @@ fn test_chunked_writer_crc32_multi_chunk() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Multi-chunk merge also produces a CRC (from merge_sorted's CrcWriter) // Verify it matches the actual file let actual_crc = compute_file_crc32(&filename); - assert_eq!(finalize_result.crc32, actual_crc, - "CRC32 from finalize should match recomputed CRC for multi-chunk output"); + assert_eq!( + finalize_result.crc32, actual_crc, + "CRC32 from finalize should match recomputed CRC for multi-chunk output" + ); SETTINGS_STORE.remove(index_name); } @@ -1596,33 +1958,51 @@ fn test_chunked_writer_crc32_differs_for_different_data() { // Writer 1 let (_schema, schema_ptr1) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename1.clone(), index_name1.to_string(), schema_ptr1, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename1.clone(), + index_name1.to_string(), + schema_ptr1, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap1, sp1) = create_ffi_data_with_row_id( vec![10, 20, 30], vec![Some("A"), Some("B"), Some("C")], vec![0, 1, 2], ); NativeParquetWriter::write_data(filename1.clone(), ap1, sp1).unwrap(); - let result1 = NativeParquetWriter::finalize_writer(filename1.clone()).unwrap().unwrap(); + let result1 = NativeParquetWriter::finalize_writer(filename1.clone()) + .unwrap() + .unwrap(); // Writer 2 — different data let (_schema, schema_ptr2) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename2.clone(), index_name2.to_string(), schema_ptr2, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename2.clone(), + index_name2.to_string(), + schema_ptr2, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap2, sp2) = create_ffi_data_with_row_id( vec![99, 88, 77], vec![Some("X"), Some("Y"), Some("Z")], vec![0, 1, 2], ); NativeParquetWriter::write_data(filename2.clone(), ap2, sp2).unwrap(); - let result2 = NativeParquetWriter::finalize_writer(filename2.clone()).unwrap().unwrap(); + let result2 = NativeParquetWriter::finalize_writer(filename2.clone()) + .unwrap() + .unwrap(); - assert_ne!(result1.crc32, result2.crc32, - "Different data should produce different CRC32 values"); + assert_ne!( + result1.crc32, result2.crc32, + "Different data should produce different CRC32 values" + ); SETTINGS_STORE.remove(index_name1); SETTINGS_STORE.remove(index_name2); @@ -1652,31 +2032,52 @@ fn test_chunked_writer_batch_slicing_large_batch() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write a batch with 8 rows — each row will be sliced individually let (ap, sp) = create_ffi_data_with_row_id( vec![80, 20, 60, 40, 10, 70, 30, 50], - vec![Some("H"), Some("B"), Some("F"), Some("D"), Some("A"), - Some("G"), Some("C"), Some("E")], + vec![ + Some("H"), + Some("B"), + Some("F"), + Some("D"), + Some("A"), + Some("G"), + Some("C"), + Some("E"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify output is sorted let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50, 60, 70, 80], - "Output should be sorted by age ASC even with per-row slicing"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50, 60, 70, 80], + "Output should be sorted by age ASC even with per-row slicing" + ); // Verify sequential row IDs let row_ids = read_row_ids_from_parquet(&filename); let expected_sequential: Vec = (0..8).collect(); - assert_eq!(row_ids, expected_sequential, - "__row_id__ should be sequential 0..7"); + assert_eq!( + row_ids, expected_sequential, + "__row_id__ should be sequential 0..7" + ); // Verify permutation let mapping = finalize_result.row_id_mapping.expect("Should have mapping"); @@ -1690,8 +2091,10 @@ fn test_chunked_writer_batch_slicing_large_batch() { // Verify CRC is valid let actual_crc = compute_file_crc32(&filename); - assert_eq!(finalize_result.crc32, actual_crc, - "CRC should match file content after batch slicing"); + assert_eq!( + finalize_result.crc32, actual_crc, + "CRC should match file content after batch slicing" + ); SETTINGS_STORE.remove(index_name); } @@ -1714,25 +2117,46 @@ fn test_chunked_writer_batch_slicing_two_rows_per_slice() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write 10 rows — should be sliced into ~5 chunks of 2 rows each let (ap, sp) = create_ffi_data_with_row_id( vec![90, 10, 70, 30, 50, 80, 20, 60, 40, 100], - vec![Some("I"), Some("A"), Some("G"), Some("C"), Some("E"), - Some("H"), Some("B"), Some("F"), Some("D"), Some("J")], + vec![ + Some("I"), + Some("A"), + Some("G"), + Some("C"), + Some("E"), + Some("H"), + Some("B"), + Some("F"), + Some("D"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sorted output let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50, 60, 70, 80, 90, 100], - "Output should be globally sorted despite batch slicing"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50, 60, 70, 80, 90, 100], + "Output should be globally sorted despite batch slicing" + ); // Verify sequential row IDs let row_ids = read_row_ids_from_parquet(&filename); @@ -1744,14 +2168,20 @@ fn test_chunked_writer_batch_slicing_two_rows_per_slice() { assert_eq!(mapping.len(), 10); let mut sorted_mapping = mapping.clone(); sorted_mapping.sort(); - assert_eq!(sorted_mapping, expected_sequential, "Mapping should be a valid permutation"); + assert_eq!( + sorted_mapping, expected_sequential, + "Mapping should be a valid permutation" + ); // Verify permutation correctness let original_ages = vec![90, 10, 70, 30, 50, 80, 20, 60, 40, 100]; for i in 0..10 { let new_pos = mapping[i] as usize; - assert_eq!(ages[new_pos], original_ages[i], - "original_ages[{}]={} should be at sorted position {}", i, original_ages[i], new_pos); + assert_eq!( + ages[new_pos], original_ages[i], + "original_ages[{}]={} should be at sorted position {}", + i, original_ages[i], new_pos + ); } SETTINGS_STORE.remove(index_name); @@ -1772,9 +2202,15 @@ fn test_chunked_writer_batch_slicing_descending() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![true], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![true], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![10, 50, 30, 20, 40], @@ -1783,12 +2219,17 @@ fn test_chunked_writer_batch_slicing_descending() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify descending sort let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![50, 40, 30, 20, 10], - "Output should be sorted by age DESC with batch slicing"); + assert_eq!( + ages, + vec![50, 40, 30, 20, 10], + "Output should be sorted by age DESC with batch slicing" + ); // Verify sequential row IDs let row_ids = read_row_ids_from_parquet(&filename); @@ -1820,9 +2261,15 @@ fn test_chunked_writer_batch_slicing_multiple_writes() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // First batch: rows 0..4 let (ap1, sp1) = create_ffi_data_with_row_id( @@ -1840,12 +2287,17 @@ fn test_chunked_writer_batch_slicing_multiple_writes() { ); NativeParquetWriter::write_data(filename.clone(), ap2, sp2).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify globally sorted let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50, 60], - "Output should be globally sorted across sliced multi-write batches"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50, 60], + "Output should be globally sorted across sliced multi-write batches" + ); // Verify sequential row IDs let row_ids = read_row_ids_from_parquet(&filename); @@ -1883,10 +2335,7 @@ fn create_no_row_id_schema_ptr() -> (Arc, i64) { } /// Helper: creates FFI data WITHOUT __row_id__ column. -fn create_ffi_data_no_row_id( - ages: Vec, - names: Vec>, -) -> (i64, i64) { +fn create_ffi_data_no_row_id(ages: Vec, names: Vec>) -> (i64, i64) { use arrow::array::{Array, Int32Array, StringArray}; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; @@ -1897,10 +2346,7 @@ fn create_ffi_data_no_row_id( ])); let age_array: Arc = Arc::new(Int32Array::from(ages)); let name_array: Arc = Arc::new(StringArray::from(names)); - let record_batch = RecordBatch::try_new( - schema.clone(), - vec![age_array, name_array], - ).unwrap(); + let record_batch = RecordBatch::try_new(schema.clone(), vec![age_array, name_array]).unwrap(); let struct_array = arrow::array::StructArray::from(record_batch); let (ffi_array, ffi_schema) = arrow::ffi::to_ffi(&struct_array.to_data()).unwrap(); let array_ptr = Box::into_raw(Box::new(ffi_array)) as i64; @@ -1924,9 +2370,15 @@ fn test_chunked_writer_no_row_id_single_chunk() { let (_schema, schema_ptr) = create_no_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_no_row_id( vec![50, 10, 30, 20, 40], @@ -1934,16 +2386,23 @@ fn test_chunked_writer_no_row_id_single_chunk() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sorted output let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50], - "Output should be sorted by age ASC even without __row_id__"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50], + "Output should be sorted by age ASC even without __row_id__" + ); // No permutation mapping when __row_id__ is absent - assert!(finalize_result.row_id_mapping.is_none(), - "row_id_mapping should be None when schema has no __row_id__ column"); + assert!( + finalize_result.row_id_mapping.is_none(), + "row_id_mapping should be None when schema has no __row_id__ column" + ); SETTINGS_STORE.remove(index_name); } @@ -1964,27 +2423,48 @@ fn test_chunked_writer_no_row_id_multi_chunk() { let (_schema, schema_ptr) = create_no_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_no_row_id( vec![80, 20, 60, 40, 10, 70, 30, 50], - vec![Some("H"), Some("B"), Some("F"), Some("D"), Some("A"), - Some("G"), Some("C"), Some("E")], + vec![ + Some("H"), + Some("B"), + Some("F"), + Some("D"), + Some("A"), + Some("G"), + Some("C"), + Some("E"), + ], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sorted output let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![10, 20, 30, 40, 50, 60, 70, 80], - "Output should be sorted even without __row_id__ in multi-chunk path"); + assert_eq!( + ages, + vec![10, 20, 30, 40, 50, 60, 70, 80], + "Output should be sorted even without __row_id__ in multi-chunk path" + ); // No permutation mapping - assert!(finalize_result.row_id_mapping.is_none(), - "row_id_mapping should be None without __row_id__ column"); + assert!( + finalize_result.row_id_mapping.is_none(), + "row_id_mapping should be None without __row_id__ column" + ); SETTINGS_STORE.remove(index_name); } @@ -2005,22 +2485,40 @@ fn test_chunked_writer_no_row_id_batch_slicing() { let (_schema, schema_ptr) = create_no_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![true], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![true], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_no_row_id( vec![10, 50, 30, 20, 40, 60], - vec![Some("A"), Some("E"), Some("C"), Some("B"), Some("D"), Some("F")], + vec![ + Some("A"), + Some("E"), + Some("C"), + Some("B"), + Some("D"), + Some("F"), + ], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify descending sort let ages = read_ages_from_parquet(&filename); - assert_eq!(ages, vec![60, 50, 40, 30, 20, 10], - "Output should be sorted DESC without __row_id__ in slicing path"); + assert_eq!( + ages, + vec![60, 50, 40, 30, 20, 10], + "Output should be sorted DESC without __row_id__ in slicing path" + ); // No permutation assert!(finalize_result.row_id_mapping.is_none()); @@ -2037,8 +2535,8 @@ fn test_chunked_writer_no_row_id_batch_slicing() { /// Helper: creates FFI schema with (age: Int32, score: Int32, name: Utf8, __row_id__: Int64). fn create_multi_sort_schema_ptr() -> (Arc, i64) { - use arrow::datatypes::{DataType, Field, Schema}; use crate::merge::schema::ROW_ID_COLUMN_NAME; + use arrow::datatypes::{DataType, Field, Schema}; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, false), @@ -2058,10 +2556,10 @@ fn create_ffi_data_multi_sort( names: Vec>, row_ids: Vec, ) -> (i64, i64) { + use crate::merge::schema::ROW_ID_COLUMN_NAME; use arrow::array::{Array, Int32Array, Int64Array, StringArray}; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; - use crate::merge::schema::ROW_ID_COLUMN_NAME; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, false), @@ -2076,7 +2574,8 @@ fn create_ffi_data_multi_sort( let record_batch = RecordBatch::try_new( schema.clone(), vec![age_array, score_array, name_array, row_id_array], - ).unwrap(); + ) + .unwrap(); let struct_array = arrow::array::StructArray::from(record_batch); let (ffi_array, ffi_schema) = arrow::ffi::to_ffi(&struct_array.to_data()).unwrap(); let array_ptr = Box::into_raw(Box::new(ffi_array)) as i64; @@ -2094,8 +2593,14 @@ fn read_scores_from_parquet(filename: &str) -> Vec { return vec![]; } let combined = concat_batches(&batches[0].schema(), &batches).unwrap(); - let idx = combined.schema().index_of("score").expect("score column should exist"); - let col = combined.column(idx).as_any().downcast_ref::() + let idx = combined + .schema() + .index_of("score") + .expect("score column should exist"); + let col = combined + .column(idx) + .as_any() + .downcast_ref::() .expect("score should be Int32"); (0..col.len()).map(|i| col.value(i)).collect() } @@ -2116,20 +2621,35 @@ fn test_multi_column_sort_age_asc_score_desc() { let (_schema, schema_ptr) = create_multi_sort_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string(), "score".to_string()], vec![false, true], vec![false, false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string(), "score".to_string()], + vec![false, true], + vec![false, false], + 0, + ) + .unwrap(); // Data with duplicate ages to test tie-breaking by score DESC let (ap, sp) = create_ffi_data_multi_sort( - vec![30, 20, 30, 20, 10, 30], // ages: ties at 20 and 30 - vec![50, 80, 90, 40, 70, 10], // scores for tie-breaking - vec![Some("A"), Some("B"), Some("C"), Some("D"), Some("E"), Some("F")], + vec![30, 20, 30, 20, 10, 30], // ages: ties at 20 and 30 + vec![50, 80, 90, 40, 70, 10], // scores for tie-breaking + vec![ + Some("A"), + Some("B"), + Some("C"), + Some("D"), + Some("E"), + Some("F"), + ], vec![0, 1, 2, 3, 4, 5], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); let ages = read_ages_from_parquet(&filename); let scores = read_scores_from_parquet(&filename); @@ -2171,9 +2691,15 @@ fn test_multi_column_sort_age_desc_score_asc() { let (_schema, schema_ptr) = create_multi_sort_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string(), "score".to_string()], vec![true, false], vec![false, false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string(), "score".to_string()], + vec![true, false], + vec![false, false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_multi_sort( vec![20, 30, 20, 30, 10], @@ -2214,21 +2740,39 @@ fn test_multi_column_sort_multi_chunk() { let (_schema, schema_ptr) = create_multi_sort_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string(), "score".to_string()], vec![false, false], vec![false, false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string(), "score".to_string()], + vec![false, false], + vec![false, false], + 0, + ) + .unwrap(); // 10 rows with many ties in age to stress tie-breaking across chunks let (ap, sp) = create_ffi_data_multi_sort( vec![20, 10, 20, 10, 30, 20, 10, 30, 20, 10], vec![50, 30, 10, 70, 20, 40, 10, 60, 30, 50], - vec![Some("A"), Some("B"), Some("C"), Some("D"), Some("E"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("A"), + Some("B"), + Some("C"), + Some("D"), + Some("E"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); let ages = read_ages_from_parquet(&filename); let scores = read_scores_from_parquet(&filename); @@ -2250,7 +2794,10 @@ fn test_multi_column_sort_multi_chunk() { assert_eq!(mapping.len(), 10); let mut sorted_mapping = mapping.clone(); sorted_mapping.sort(); - assert_eq!(sorted_mapping, expected_sequential, "Mapping should be a valid permutation"); + assert_eq!( + sorted_mapping, expected_sequential, + "Mapping should be a valid permutation" + ); SETTINGS_STORE.remove(index_name); } @@ -2270,9 +2817,15 @@ fn test_multi_column_sort_batch_slicing() { let (_schema, schema_ptr) = create_multi_sort_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string(), "score".to_string()], vec![false, true], vec![false, false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string(), "score".to_string()], + vec![false, true], + vec![false, false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_multi_sort( vec![20, 20, 10, 10, 20], @@ -2312,10 +2865,7 @@ fn create_nullable_schema_ptr() -> (Arc, i64) { } /// Helper: creates FFI data with nullable age column. -fn create_ffi_data_nullable_age( - ages: Vec>, - names: Vec>, -) -> (i64, i64) { +fn create_ffi_data_nullable_age(ages: Vec>, names: Vec>) -> (i64, i64) { use arrow::array::{Array, Int32Array, StringArray}; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; @@ -2326,10 +2876,7 @@ fn create_ffi_data_nullable_age( ])); let age_array: Arc = Arc::new(Int32Array::from(ages)); let name_array: Arc = Arc::new(StringArray::from(names)); - let record_batch = RecordBatch::try_new( - schema.clone(), - vec![age_array, name_array], - ).unwrap(); + let record_batch = RecordBatch::try_new(schema.clone(), vec![age_array, name_array]).unwrap(); let struct_array = arrow::array::StructArray::from(record_batch); let (ffi_array, ffi_schema) = arrow::ffi::to_ffi(&struct_array.to_data()).unwrap(); let array_ptr = Box::into_raw(Box::new(ffi_array)) as i64; @@ -2345,8 +2892,20 @@ fn read_nullable_ages_from_parquet(filename: &str) -> Vec> { let batches = read_parquet_file(filename); let combined = concat_batches(&batches[0].schema(), &batches).unwrap(); let idx = combined.schema().index_of("age").unwrap(); - let col = combined.column(idx).as_any().downcast_ref::().unwrap(); - (0..col.len()).map(|i| if col.is_null(i) { None } else { Some(col.value(i)) }).collect() + let col = combined + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); + (0..col.len()) + .map(|i| { + if col.is_null(i) { + None + } else { + Some(col.value(i)) + } + }) + .collect() } /// Test: nulls_first=true places NULL values before non-null values in ascending sort. @@ -2358,15 +2917,21 @@ fn test_nulls_first_true_ascending() { let mut settings = NativeSettings::default(); settings.sort_columns = vec!["age".to_string()]; settings.reverse_sorts = vec![false]; // ASC - settings.nulls_first = vec![true]; // NULLs first + settings.nulls_first = vec![true]; // NULLs first settings.sort_in_memory_threshold_bytes = Some(10 * 1024 * 1024); SETTINGS_STORE.insert(index_name.to_string(), settings); let (_schema, schema_ptr) = create_nullable_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![true], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![true], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_nullable_age( vec![Some(30), None, Some(10), None, Some(20)], @@ -2391,15 +2956,21 @@ fn test_nulls_first_false_ascending() { let mut settings = NativeSettings::default(); settings.sort_columns = vec!["age".to_string()]; settings.reverse_sorts = vec![false]; // ASC - settings.nulls_first = vec![false]; // NULLs last + settings.nulls_first = vec![false]; // NULLs last settings.sort_in_memory_threshold_bytes = Some(10 * 1024 * 1024); SETTINGS_STORE.insert(index_name.to_string(), settings); let (_schema, schema_ptr) = create_nullable_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_nullable_age( vec![Some(30), None, Some(10), None, Some(20)], @@ -2417,8 +2988,8 @@ fn test_nulls_first_false_ascending() { /// Helper: creates FFI schema with nullable age + __row_id__ (age: Int32 nullable, name: Utf8, __row_id__: Int64). fn create_nullable_with_row_id_schema_ptr() -> (Arc, i64) { - use arrow::datatypes::{DataType, Field, Schema}; use crate::merge::schema::ROW_ID_COLUMN_NAME; + use arrow::datatypes::{DataType, Field, Schema}; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, true), // nullable @@ -2436,10 +3007,10 @@ fn create_ffi_data_nullable_with_row_id( names: Vec>, row_ids: Vec, ) -> (i64, i64) { + use crate::merge::schema::ROW_ID_COLUMN_NAME; use arrow::array::{Array, Int32Array, Int64Array, StringArray}; use arrow::datatypes::{DataType, Field, Schema}; use arrow::record_batch::RecordBatch; - use crate::merge::schema::ROW_ID_COLUMN_NAME; let schema = Arc::new(Schema::new(vec![ Field::new("age", DataType::Int32, true), @@ -2449,10 +3020,8 @@ fn create_ffi_data_nullable_with_row_id( let age_array: Arc = Arc::new(Int32Array::from(ages)); let name_array: Arc = Arc::new(StringArray::from(names)); let row_id_array: Arc = Arc::new(Int64Array::from(row_ids)); - let record_batch = RecordBatch::try_new( - schema.clone(), - vec![age_array, name_array, row_id_array], - ).unwrap(); + let record_batch = + RecordBatch::try_new(schema.clone(), vec![age_array, name_array, row_id_array]).unwrap(); let struct_array = arrow::array::StructArray::from(record_batch); let (ffi_array, ffi_schema) = arrow::ffi::to_ffi(&struct_array.to_data()).unwrap(); let array_ptr = Box::into_raw(Box::new(ffi_array)) as i64; @@ -2470,15 +3039,21 @@ fn test_nulls_first_with_row_id_and_permutation() { let mut settings = NativeSettings::default(); settings.sort_columns = vec!["age".to_string()]; settings.reverse_sorts = vec![false]; // ASC - settings.nulls_first = vec![true]; // NULLs first + settings.nulls_first = vec![true]; // NULLs first settings.sort_in_memory_threshold_bytes = Some(10 * 1024 * 1024); SETTINGS_STORE.insert(index_name.to_string(), settings); let (_schema, schema_ptr) = create_nullable_with_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![true], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![true], + 0, + ) + .unwrap(); // Original: row0=age30, row1=NULL, row2=age10, row3=NULL, row4=age20 let (ap, sp) = create_ffi_data_nullable_with_row_id( @@ -2488,7 +3063,9 @@ fn test_nulls_first_with_row_id_and_permutation() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sort: NULLs first, then ascending let ages = read_nullable_ages_from_parquet(&filename); @@ -2496,8 +3073,11 @@ fn test_nulls_first_with_row_id_and_permutation() { // Verify __row_id__ is sequential 0..N let row_ids = read_row_ids_from_parquet(&filename); - assert_eq!(row_ids, vec![0, 1, 2, 3, 4], - "__row_id__ should be sequential after rewrite"); + assert_eq!( + row_ids, + vec![0, 1, 2, 3, 4], + "__row_id__ should be sequential after rewrite" + ); // Verify permutation mapping // Original: age=[30, NULL, 10, NULL, 20], row_ids=[0,1,2,3,4] @@ -2505,10 +3085,15 @@ fn test_nulls_first_with_row_id_and_permutation() { // The two NULLs were at original positions 1 and 3 (stable order preserved by RowConverter) // Sorted positions: NULL(row1)→pos0, NULL(row3)→pos1, 10(row2)→pos2, 20(row4)→pos3, 30(row0)→pos4 // mapping[0]=4, mapping[1]=0, mapping[2]=2, mapping[3]=1, mapping[4]=3 - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping.len(), 5); - assert_eq!(mapping, vec![4, 0, 2, 1, 3], - "Permutation should correctly place NULLs first and map original row IDs"); + assert_eq!( + mapping, + vec![4, 0, 2, 1, 3], + "Permutation should correctly place NULLs first and map original row IDs" + ); SETTINGS_STORE.remove(index_name); } @@ -2522,15 +3107,21 @@ fn test_nulls_last_with_row_id_and_permutation() { let mut settings = NativeSettings::default(); settings.sort_columns = vec!["age".to_string()]; settings.reverse_sorts = vec![false]; // ASC - settings.nulls_first = vec![false]; // NULLs last + settings.nulls_first = vec![false]; // NULLs last settings.sort_in_memory_threshold_bytes = Some(10 * 1024 * 1024); SETTINGS_STORE.insert(index_name.to_string(), settings); let (_schema, schema_ptr) = create_nullable_with_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Original: row0=age30, row1=NULL, row2=age10, row3=NULL, row4=age20 let (ap, sp) = create_ffi_data_nullable_with_row_id( @@ -2540,7 +3131,9 @@ fn test_nulls_last_with_row_id_and_permutation() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sort: ascending non-nulls, then NULLs last let ages = read_nullable_ages_from_parquet(&filename); @@ -2555,10 +3148,15 @@ fn test_nulls_last_with_row_id_and_permutation() { // Sorted: age=[10, 20, 30, NULL, NULL] // 10(row2)→pos0, 20(row4)→pos1, 30(row0)→pos2, NULL(row1)→pos3, NULL(row3)→pos4 // mapping[0]=2, mapping[1]=3, mapping[2]=0, mapping[3]=4, mapping[4]=1 - let mapping = finalize_result.row_id_mapping.expect("Should have row_id_mapping"); + let mapping = finalize_result + .row_id_mapping + .expect("Should have row_id_mapping"); assert_eq!(mapping.len(), 5); - assert_eq!(mapping, vec![2, 3, 0, 4, 1], - "Permutation should correctly place NULLs last and map original row IDs"); + assert_eq!( + mapping, + vec![2, 3, 0, 4, 1], + "Permutation should correctly place NULLs last and map original row IDs" + ); SETTINGS_STORE.remove(index_name); } @@ -2581,16 +3179,18 @@ fn test_empty_batch_write_does_not_corrupt_sorted_writer() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write an empty batch (0 rows) - let (ap_empty, sp_empty) = create_ffi_data_with_row_id( - vec![], - vec![], - vec![], - ); + let (ap_empty, sp_empty) = create_ffi_data_with_row_id(vec![], vec![], vec![]); NativeParquetWriter::write_data(filename.clone(), ap_empty, sp_empty).unwrap(); // Write a real batch after the empty one @@ -2601,7 +3201,9 @@ fn test_empty_batch_write_does_not_corrupt_sorted_writer() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // Verify sorted output — empty batch should have no effect let ages = read_ages_from_parquet(&filename); @@ -2631,9 +3233,15 @@ fn test_only_empty_batches_produces_empty_output() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write multiple empty batches for _ in 0..3 { @@ -2641,7 +3249,9 @@ fn test_only_empty_batches_produces_empty_output() { NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); } - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); assert_eq!(finalize_result.metadata.file_metadata().num_rows(), 0); assert!(finalize_result.row_id_mapping.is_none()); @@ -2666,45 +3276,66 @@ fn test_memory_usage_ipc_writer_reports_chunk_row_ids() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Before writing, memory should be 0 (no chunks flushed yet) - let path_prefix = Path::new(&filename).parent().unwrap().to_string_lossy().to_string(); - let mem_before = NativeParquetWriter::get_filtered_writer_memory_usage( - path_prefix.clone() - ).unwrap(); + let path_prefix = Path::new(&filename) + .parent() + .unwrap() + .to_string_lossy() + .to_string(); + let mem_before = + NativeParquetWriter::get_filtered_writer_memory_usage(path_prefix.clone()).unwrap(); assert_eq!(mem_before, 0, "Memory should be 0 before any chunk flush"); // Write enough data to trigger at least one chunk flush let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); // After writing (chunks flushed), memory should be > 0 due to chunk_row_ids - let mem_after = NativeParquetWriter::get_filtered_writer_memory_usage( - path_prefix.clone() - ).unwrap(); - assert!(mem_after > 0, + let mem_after = + NativeParquetWriter::get_filtered_writer_memory_usage(path_prefix.clone()).unwrap(); + assert!( + mem_after > 0, "Memory should be > 0 after chunk flushes (chunk_row_ids accumulated), got {}", - mem_after); + mem_after + ); // Memory should be proportional to rows written × sizeof(i64) // 10 rows × 8 bytes = 80 bytes minimum (could be more if split across chunks) - assert!(mem_after >= 80, - "Memory should be at least 10 rows × 8 bytes = 80, got {}", mem_after); + assert!( + mem_after >= 80, + "Memory should be at least 10 rows × 8 bytes = 80, got {}", + mem_after + ); // Finalize and verify writer is removed NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); - let mem_final = NativeParquetWriter::get_filtered_writer_memory_usage( - path_prefix - ).unwrap(); + let mem_final = NativeParquetWriter::get_filtered_writer_memory_usage(path_prefix).unwrap(); assert_eq!(mem_final, 0, "Memory should be 0 after writer is finalized"); SETTINGS_STORE.remove(index_name); @@ -2728,16 +3359,28 @@ fn test_memory_usage_path_prefix_filtering() { // Create writer 1 let (_schema, schema_ptr1) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename1.clone(), index_name.to_string(), schema_ptr1, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename1.clone(), + index_name.to_string(), + schema_ptr1, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Create writer 2 let (_schema, schema_ptr2) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename2.clone(), index_name.to_string(), schema_ptr2, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename2.clone(), + index_name.to_string(), + schema_ptr2, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write to writer 1 only let (ap, sp) = create_ffi_data_with_row_id( @@ -2748,8 +3391,16 @@ fn test_memory_usage_path_prefix_filtering() { NativeParquetWriter::write_data(filename1.clone(), ap, sp).unwrap(); // Query with prefix that matches only writer 1's directory - let prefix1 = Path::new(&filename1).parent().unwrap().to_string_lossy().to_string(); - let prefix2 = Path::new(&filename2).parent().unwrap().to_string_lossy().to_string(); + let prefix1 = Path::new(&filename1) + .parent() + .unwrap() + .to_string_lossy() + .to_string(); + let prefix2 = Path::new(&filename2) + .parent() + .unwrap() + .to_string_lossy() + .to_string(); let mem1 = NativeParquetWriter::get_filtered_writer_memory_usage(prefix1).unwrap(); let mem2 = NativeParquetWriter::get_filtered_writer_memory_usage(prefix2).unwrap(); @@ -2781,8 +3432,10 @@ fn test_write_data_no_ipc_writer() { let result = NativeParquetWriter::write_data(filename.clone(), ap, sp); assert!(result.is_err()); - assert!(result.unwrap_err().to_string().contains("Writer not found"), - "Should get 'Writer not found' error for non-existent IPC writer"); + assert!( + result.unwrap_err().to_string().contains("Writer not found"), + "Should get 'Writer not found' error for non-existent IPC writer" + ); } // ===== Sort stability edge case ===== @@ -2808,9 +3461,15 @@ fn test_sort_all_identical_keys_produces_valid_permutation() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // All rows have age=30 — sort has zero ordering information let (ap, sp) = create_ffi_data_with_row_id( @@ -2820,7 +3479,9 @@ fn test_sort_all_identical_keys_produces_valid_permutation() { ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); - let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()).unwrap().unwrap(); + let finalize_result = NativeParquetWriter::finalize_writer(filename.clone()) + .unwrap() + .unwrap(); // All ages should be 30 let ages = read_ages_from_parquet(&filename); @@ -2835,8 +3496,11 @@ fn test_sort_all_identical_keys_produces_valid_permutation() { assert_eq!(mapping.len(), 5); let mut sorted_mapping = mapping.clone(); sorted_mapping.sort(); - assert_eq!(sorted_mapping, vec![0, 1, 2, 3, 4], - "Mapping must be a valid permutation even with all-identical sort keys"); + assert_eq!( + sorted_mapping, + vec![0, 1, 2, 3, 4], + "Mapping must be a valid permutation even with all-identical sort keys" + ); } // ===== Writer properties verification tests ===== @@ -2851,9 +3515,15 @@ fn read_compression_from_parquet(filename: &str) -> parquet::basic::Compression let file = File::open(filename).unwrap(); let reader = SerializedFileReader::new(file).unwrap(); let metadata = reader.metadata(); - assert!(metadata.num_row_groups() > 0, "File should have at least one row group"); + assert!( + metadata.num_row_groups() > 0, + "File should have at least one row group" + ); let rg = metadata.row_group(0); - assert!(rg.num_columns() > 0, "Row group should have at least one column"); + assert!( + rg.num_columns() > 0, + "Row group should have at least one column" + ); rg.column(0).compression() } @@ -2884,12 +3554,11 @@ fn read_format_version_from_parquet(filename: &str) -> Option { let file = File::open(filename).unwrap(); let reader = SerializedFileReader::new(file).unwrap(); let metadata = reader.metadata().file_metadata(); - metadata.key_value_metadata() - .and_then(|kvs| { - kvs.iter() - .find(|kv| kv.key == "opensearch.format_version") - .and_then(|kv| kv.value.clone()) - }) + metadata.key_value_metadata().and_then(|kvs| { + kvs.iter() + .find(|kv| kv.key == "opensearch.format_version") + .and_then(|kv| kv.value.clone()) + }) } /// Test: Writer properties are honored in the EMPTY path (0 chunks). @@ -2911,22 +3580,34 @@ fn test_writer_properties_honored_empty_path() { let writer_generation = 99i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); // Don't write any data — triggers the empty path NativeParquetWriter::finalize_writer(filename.clone()).unwrap(); // Verify format version is stamped let format_version = read_format_version_from_parquet(&filename); - assert_eq!(format_version.as_deref(), Some("1.0.0.0"), - "Empty path should stamp format version in output file"); + assert_eq!( + format_version.as_deref(), + Some("1.0.0.0"), + "Empty path should stamp format version in output file" + ); // Verify writer generation is stamped let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(99), - "Empty path should stamp writer_generation in output file"); + assert_eq!( + gen, + Some(99), + "Empty path should stamp writer_generation in output file" + ); // Empty file has no row groups, so we can't check compression or bloom filter // on column chunks. But the properties were applied to the writer. @@ -2953,9 +3634,15 @@ fn test_writer_properties_honored_single_chunk_snappy_no_bloom() { let writer_generation = 55i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 50, 20, 40], @@ -2967,22 +3654,33 @@ fn test_writer_properties_honored_single_chunk_snappy_no_bloom() { // Verify compression is SNAPPY let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::SNAPPY), - "Single chunk path should honor SNAPPY compression, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::SNAPPY), + "Single chunk path should honor SNAPPY compression, got: {:?}", + compression + ); // Verify bloom filter is NOT present (disabled) - assert!(!has_bloom_filter_in_parquet(&filename), - "Single chunk path should honor bloom_filter_enabled=false (no bloom filter in file)"); + assert!( + !has_bloom_filter_in_parquet(&filename), + "Single chunk path should honor bloom_filter_enabled=false (no bloom filter in file)" + ); // Verify format version let format_version = read_format_version_from_parquet(&filename); - assert_eq!(format_version.as_deref(), Some("1.0.0.0"), - "Single chunk path should stamp format version"); + assert_eq!( + format_version.as_deref(), + Some("1.0.0.0"), + "Single chunk path should stamp format version" + ); // Verify writer generation let gen = read_writer_generation_from_parquet(&filename); - assert_eq!(gen, Some(55), - "Single chunk path should stamp writer_generation"); + assert_eq!( + gen, + Some(55), + "Single chunk path should stamp writer_generation" + ); // Verify data correctness (sort order) let ages = read_ages_from_parquet(&filename); @@ -3013,9 +3711,15 @@ fn test_writer_properties_honored_single_chunk_zstd_with_bloom() { let writer_generation = 12i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 50, 20, 40], @@ -3027,12 +3731,17 @@ fn test_writer_properties_honored_single_chunk_zstd_with_bloom() { // Verify compression is ZSTD let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::ZSTD(_)), - "Single chunk path should honor ZSTD compression, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::ZSTD(_)), + "Single chunk path should honor ZSTD compression, got: {:?}", + compression + ); // Verify bloom filter IS present (enabled) - assert!(has_bloom_filter_in_parquet(&filename), - "Single chunk path should honor bloom_filter_enabled=true (bloom filter should be in file)"); + assert!( + has_bloom_filter_in_parquet(&filename), + "Single chunk path should honor bloom_filter_enabled=true (bloom filter should be in file)" + ); // Verify format version let format_version = read_format_version_from_parquet(&filename); @@ -3064,14 +3773,30 @@ fn test_writer_properties_honored_multi_chunk_snappy_no_bloom() { let writer_generation = 77i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); @@ -3079,17 +3804,25 @@ fn test_writer_properties_honored_multi_chunk_snappy_no_bloom() { // Verify compression is SNAPPY in the merged output let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::SNAPPY), - "Multi chunk (k-way merge) path should honor SNAPPY compression, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::SNAPPY), + "Multi chunk (k-way merge) path should honor SNAPPY compression, got: {:?}", + compression + ); // Verify bloom filter is NOT present - assert!(!has_bloom_filter_in_parquet(&filename), - "Multi chunk path should honor bloom_filter_enabled=false"); + assert!( + !has_bloom_filter_in_parquet(&filename), + "Multi chunk path should honor bloom_filter_enabled=false" + ); // Verify format version let format_version = read_format_version_from_parquet(&filename); - assert_eq!(format_version.as_deref(), Some("1.0.0.0"), - "Multi chunk path should stamp format version"); + assert_eq!( + format_version.as_deref(), + Some("1.0.0.0"), + "Multi chunk path should stamp format version" + ); // Verify data correctness let ages = read_ages_from_parquet(&filename); @@ -3120,14 +3853,30 @@ fn test_writer_properties_honored_multi_chunk_zstd_with_bloom() { let writer_generation = 33i64; let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], writer_generation, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + writer_generation, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); @@ -3135,12 +3884,17 @@ fn test_writer_properties_honored_multi_chunk_zstd_with_bloom() { // Verify compression is ZSTD in the merged output let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::ZSTD(_)), - "Multi chunk (k-way merge) path should honor ZSTD compression, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::ZSTD(_)), + "Multi chunk (k-way merge) path should honor ZSTD compression, got: {:?}", + compression + ); // Verify bloom filter IS present - assert!(has_bloom_filter_in_parquet(&filename), - "Multi chunk path should honor bloom_filter_enabled=true"); + assert!( + has_bloom_filter_in_parquet(&filename), + "Multi chunk path should honor bloom_filter_enabled=true" + ); // Verify format version let format_version = read_format_version_from_parquet(&filename); @@ -3171,9 +3925,15 @@ fn test_writer_properties_honored_single_chunk_uncompressed() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 50, 20, 40], @@ -3185,12 +3945,17 @@ fn test_writer_properties_honored_single_chunk_uncompressed() { // Verify compression is UNCOMPRESSED let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::UNCOMPRESSED), - "Single chunk path should honor UNCOMPRESSED setting, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::UNCOMPRESSED), + "Single chunk path should honor UNCOMPRESSED setting, got: {:?}", + compression + ); // Verify bloom filter IS present - assert!(has_bloom_filter_in_parquet(&filename), - "Single chunk path should honor bloom_filter_enabled=true"); + assert!( + has_bloom_filter_in_parquet(&filename), + "Single chunk path should honor bloom_filter_enabled=true" + ); SETTINGS_STORE.remove(index_name); } @@ -3212,14 +3977,30 @@ fn test_writer_properties_honored_multi_chunk_uncompressed() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); @@ -3227,12 +4008,17 @@ fn test_writer_properties_honored_multi_chunk_uncompressed() { // Verify compression is UNCOMPRESSED let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::UNCOMPRESSED), - "Multi chunk path should honor UNCOMPRESSED setting, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::UNCOMPRESSED), + "Multi chunk path should honor UNCOMPRESSED setting, got: {:?}", + compression + ); // Verify bloom filter IS present - assert!(has_bloom_filter_in_parquet(&filename), - "Multi chunk path should honor bloom_filter_enabled=true"); + assert!( + has_bloom_filter_in_parquet(&filename), + "Multi chunk path should honor bloom_filter_enabled=true" + ); // Verify data correctness let ages = read_ages_from_parquet(&filename); @@ -3258,9 +4044,15 @@ fn test_writer_properties_defaults_single_chunk() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![30, 10, 50, 20, 40], @@ -3272,12 +4064,17 @@ fn test_writer_properties_defaults_single_chunk() { // Default compression is LZ4_RAW let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::LZ4_RAW), - "Default compression should be LZ4_RAW, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::LZ4_RAW), + "Default compression should be LZ4_RAW, got: {:?}", + compression + ); // Default bloom filter is enabled - assert!(!has_bloom_filter_in_parquet(&filename), - "Default bloom_filter_enabled should be false"); + assert!( + !has_bloom_filter_in_parquet(&filename), + "Default bloom_filter_enabled should be false" + ); // Format version always stamped let format_version = read_format_version_from_parquet(&filename); @@ -3301,14 +4098,30 @@ fn test_writer_properties_defaults_multi_chunk() { let (_schema, schema_ptr) = create_row_id_schema_ptr(); NativeParquetWriter::create_writer( - filename.clone(), index_name.to_string(), schema_ptr, - vec!["age".to_string()], vec![false], vec![false], 0, - ).unwrap(); + filename.clone(), + index_name.to_string(), + schema_ptr, + vec!["age".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); let (ap, sp) = create_ffi_data_with_row_id( vec![50, 30, 10, 40, 20, 60, 5, 45, 35, 15], - vec![Some("E"), Some("C"), Some("A"), Some("D"), Some("B"), - Some("F"), Some("G"), Some("H"), Some("I"), Some("J")], + vec![ + Some("E"), + Some("C"), + Some("A"), + Some("D"), + Some("B"), + Some("F"), + Some("G"), + Some("H"), + Some("I"), + Some("J"), + ], vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9], ); NativeParquetWriter::write_data(filename.clone(), ap, sp).unwrap(); @@ -3316,12 +4129,17 @@ fn test_writer_properties_defaults_multi_chunk() { // Default compression is LZ4_RAW let compression = read_compression_from_parquet(&filename); - assert!(matches!(compression, parquet::basic::Compression::LZ4_RAW), - "Default compression should be LZ4_RAW in multi-chunk path, got: {:?}", compression); + assert!( + matches!(compression, parquet::basic::Compression::LZ4_RAW), + "Default compression should be LZ4_RAW in multi-chunk path, got: {:?}", + compression + ); // Default bloom filter is enabled - assert!(!has_bloom_filter_in_parquet(&filename), - "Default bloom_filter_enabled should be false in multi-chunk path"); + assert!( + !has_bloom_filter_in_parquet(&filename), + "Default bloom_filter_enabled should be false in multi-chunk path" + ); // Format version always stamped let format_version = read_format_version_from_parquet(&filename); diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs index 295a90dce146f..0167362c30c4f 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer.rs @@ -6,12 +6,12 @@ * compatible open source license. */ +use arrow::compute::{concat_batches, take}; use arrow::ffi::{FFI_ArrowArray, FFI_ArrowSchema}; use arrow::record_batch::RecordBatch; -use arrow::compute::{concat_batches, take}; use arrow::row::{RowConverter, SortField}; -use arrow_ipc::writer::FileWriter as IpcFileWriter; use arrow_ipc::reader::FileReader as IpcFileReader; +use arrow_ipc::writer::FileWriter as IpcFileWriter; use dashmap::DashMap; use lazy_static::lazy_static; use parquet::arrow::ArrowWriter; @@ -20,12 +20,12 @@ use std::fs::File; use std::path::Path; use std::sync::{Arc, Mutex}; -use crate::{log_error, log_debug, log_info}; use crate::crc_writer::CrcWriter; use crate::memory::write_pool; use crate::merge::{merge_sorted_with_pool, schema::ROW_ID_COLUMN_NAME}; use crate::native_settings::NativeSettings; use crate::writer_properties_builder::WriterPropertiesBuilder; +use crate::{log_debug, log_error, log_info}; use native_bridge_common::memory_pool::{MemoryReservation, PoolBehavior}; /// Result from finalizing a writer: Parquet metadata + whole-file CRC32 + optional sort permutation. @@ -150,7 +150,11 @@ impl SortingChunkedWriter { Ok(()) } - fn write(&mut self, batch: &RecordBatch, reservation: &mut MemoryReservation) -> Result<(), Box> { + fn write( + &mut self, + batch: &RecordBatch, + reservation: &mut MemoryReservation, + ) -> Result<(), Box> { if self.current_ipc_writer.is_none() { return Ok(()); } @@ -181,10 +185,8 @@ impl SortingChunkedWriter { let num_rows = batch.num_rows(); let bytes_per_row = incoming_batch_bytes / num_rows as u64; // Compute how many rows fit within the threshold (at least 1 to make progress). - let rows_per_slice = std::cmp::max( - 1, - (self.memory_threshold_bytes / bytes_per_row) as usize, - ); + let rows_per_slice = + std::cmp::max(1, (self.memory_threshold_bytes / bytes_per_row) as usize); let mut offset = 0; while offset < num_rows { @@ -216,7 +218,10 @@ impl SortingChunkedWriter { } /// Close the current IPC file, read it back, sort, write as sorted Parquet chunk. - fn flush_and_sort_chunk(&mut self, reservation: &mut MemoryReservation) -> Result<(), Box> { + fn flush_and_sort_chunk( + &mut self, + reservation: &mut MemoryReservation, + ) -> Result<(), Box> { use arrow::array::Int64Array; log_debug!( @@ -258,14 +263,22 @@ impl SortingChunkedWriter { let combined = concat_batches(&self.schema, &batches)?; drop(batches); // free memory before sort allocates let sorted_batch = NativeParquetWriter::sort_batch( - &combined, &self.sort_columns, &self.reverse_sorts, &self.nulls_first, + &combined, + &self.sort_columns, + &self.reverse_sorts, + &self.nulls_first, )?; drop(combined); // free unsorted data // Capture original row IDs for permutation building, then rewrite to sequential 0..N - let row_id_col_idx = self.schema.fields().iter().position(|f| f.name() == ROW_ID_COLUMN_NAME); + let row_id_col_idx = self + .schema + .fields() + .iter() + .position(|f| f.name() == ROW_ID_COLUMN_NAME); let final_batch = if let Some(idx) = row_id_col_idx { - let row_id_array = sorted_batch.column(idx) + let row_id_array = sorted_batch + .column(idx) .as_any() .downcast_ref::() .expect("___row_id column must be Int64"); @@ -275,9 +288,8 @@ impl SortingChunkedWriter { self.chunk_row_ids.push(ids); // Rewrite ___row_id to sequential 0..N so the chunk file is self-consistent - let sequential_ids = Int64Array::from_iter_values( - (0..sorted_batch.num_rows() as i64).map(|x| x) - ); + let sequential_ids = + Int64Array::from_iter_values((0..sorted_batch.num_rows() as i64).map(|x| x)); let mut columns = sorted_batch.columns().to_vec(); columns[idx] = Arc::new(sequential_ids); RecordBatch::try_new(self.schema.clone(), columns)? @@ -288,7 +300,11 @@ impl SortingChunkedWriter { // Write sorted chunk as Parquet let chunk_path = self.sorted_chunk_path(self.chunk_idx); let crc32 = NativeParquetWriter::write_final_file( - &chunk_path, &self.index_name, &final_batch, self.schema.clone(), Some(self.writer_generation), + &chunk_path, + &self.index_name, + &final_batch, + self.schema.clone(), + Some(self.writer_generation), )?; self.completed_chunks.push(chunk_path); @@ -309,7 +325,10 @@ impl SortingChunkedWriter { } /// Finalize: flush remaining IPC data (sort + write) and return chunk paths + row IDs + CRCs. - fn finish(mut self, reservation: &mut MemoryReservation) -> Result<(Vec, Vec>, Vec), Box> { + fn finish( + mut self, + reservation: &mut MemoryReservation, + ) -> Result<(Vec, Vec>, Vec), Box> { if self.current_rows > 0 { self.flush_and_sort_chunk(reservation)?; } @@ -336,7 +355,8 @@ impl SortingChunkedWriter { /// where the IPC file is read back and sorted — that's short-lived and freed /// before the method returns. fn memory_size(&self) -> usize { - self.chunk_row_ids.iter() + self.chunk_row_ids + .iter() .map(|ids| ids.len() * std::mem::size_of::()) .sum() } @@ -375,7 +395,10 @@ impl NativeParquetWriter { let path = Path::new(filename); path.parent() .unwrap_or_else(|| Path::new("")) - .join(format!("temp-{}", path.file_name().unwrap().to_str().unwrap())) + .join(format!( + "temp-{}", + path.file_name().unwrap().to_str().unwrap() + )) .to_string_lossy() .to_string() } @@ -395,7 +418,10 @@ impl NativeParquetWriter { ); if (schema_address as *mut u8).is_null() { - log_error!("ERROR: Invalid schema address (null pointer) for file: {}", filename); + log_error!( + "ERROR: Invalid schema address (null pointer) for file: {}", + filename + ); return Err("Invalid schema address".into()); } @@ -437,30 +463,55 @@ impl NativeParquetWriter { settings.nulls_first.clone(), writer_generation, )?; - (WriterVariant::Ipc(Arc::new(Mutex::new(chunked_writer))), None) + ( + WriterVariant::Ipc(Arc::new(Mutex::new(chunked_writer))), + None, + ) } else { let file = File::create(&temp_filename)?; let (crc_file, crc_handle) = CrcWriter::new(file); - let props = WriterPropertiesBuilder::build_with_generation(&settings, Some(writer_generation), &schema) - .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; + let props = WriterPropertiesBuilder::build_with_generation( + &settings, + Some(writer_generation), + &schema, + ) + .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; let writer = ArrowWriter::try_new(crc_file, schema, Some(props))?; - (WriterVariant::Parquet(Arc::new(Mutex::new(writer))), Some(crc_handle)) + ( + WriterVariant::Parquet(Arc::new(Mutex::new(writer))), + Some(crc_handle), + ) }; - WRITERS.insert(temp_filename, WriterState { - variant, - settings, - crc_handle, - writer_generation, - reservation: MemoryReservation::new(write_pool(), "parquet_writer", PoolBehavior::IgnoreLimit), - }); + WRITERS.insert( + temp_filename, + WriterState { + variant, + settings, + crc_handle, + writer_generation, + reservation: MemoryReservation::new( + write_pool(), + "parquet_writer", + PoolBehavior::IgnoreLimit, + ), + }, + ); Ok(()) } - pub fn write_data(filename: String, array_address: i64, schema_address: i64) -> Result<(), Box> { + pub fn write_data( + filename: String, + array_address: i64, + schema_address: i64, + ) -> Result<(), Box> { let temp_filename = Self::temp_filename(&filename); - log_debug!("write_data called for file: {} (temp: {})", filename, temp_filename); + log_debug!( + "write_data called for file: {} (temp: {})", + filename, + temp_filename + ); if (array_address as *mut u8).is_null() || (schema_address as *mut u8).is_null() { log_error!("ERROR: Invalid FFI addresses for file: {}", temp_filename); @@ -476,7 +527,11 @@ impl NativeParquetWriter { if let Some(struct_array) = array.as_any().downcast_ref::() { let schema = Arc::new(arrow::datatypes::Schema::new(struct_array.fields().clone())); let record_batch = RecordBatch::try_new(schema, struct_array.columns().to_vec())?; - log_debug!("Created RecordBatch with {} rows and {} columns", record_batch.num_rows(), record_batch.num_columns()); + log_debug!( + "Created RecordBatch with {} rows and {} columns", + record_batch.num_rows(), + record_batch.num_columns() + ); if let Some(mut state) = WRITERS.get_mut(&temp_filename) { match &state.variant { @@ -509,18 +564,33 @@ impl NativeParquetWriter { Err("Writer not found".into()) } } else { - log_error!("ERROR: Array is not a StructArray, type: {:?}", array.data_type()); + log_error!( + "ERROR: Array is not a StructArray, type: {:?}", + array.data_type() + ); Err("Expected struct array from VectorSchemaRoot".into()) } } } - pub fn finalize_writer(filename: String) -> Result, Box> { + pub fn finalize_writer( + filename: String, + ) -> Result, Box> { let temp_filename = Self::temp_filename(&filename); - log_debug!("finalize_writer called for file: {} (temp: {})", filename, temp_filename); + log_debug!( + "finalize_writer called for file: {} (temp: {})", + filename, + temp_filename + ); if let Some((_, state)) = WRITERS.remove(&temp_filename) { - let WriterState { variant, settings, crc_handle, writer_generation, mut reservation } = state; + let WriterState { + variant, + settings, + crc_handle, + writer_generation, + mut reservation, + } = state; let index_name = settings.index_name.as_deref().unwrap_or(""); match variant { @@ -530,16 +600,25 @@ impl NativeParquetWriter { let chunked_writer = mutex.into_inner().unwrap(); let total_rows = chunked_writer.total_rows(); let schema = chunked_writer.schema.clone(); - let (chunk_paths, chunk_row_ids, chunk_crcs) = chunked_writer.finish(&mut reservation)?; + let (chunk_paths, chunk_row_ids, chunk_crcs) = + chunked_writer.finish(&mut reservation)?; log_info!( "Successfully closed sorting chunked writer for: {}, total_rows={}, chunks={}", temp_filename, total_rows, chunk_paths.len() ); let (crc32, row_id_mapping) = Self::finalize_sorted_chunks( - &chunk_paths, &chunk_row_ids, &chunk_crcs, &filename, index_name, - &settings.sort_columns, &settings.reverse_sorts, &settings.nulls_first, - writer_generation, schema.clone(), &mut reservation, + &chunk_paths, + &chunk_row_ids, + &chunk_crcs, + &filename, + index_name, + &settings.sort_columns, + &settings.reverse_sorts, + &settings.nulls_first, + writer_generation, + schema.clone(), + &mut reservation, )?; // Clean up sorted chunk files only after successful finalization. @@ -560,10 +639,17 @@ impl NativeParquetWriter { reservation.shrink(mapping.len() * std::mem::size_of::()); } - Ok(Some(FinalizeResult { metadata: parquet_metadata, crc32, row_id_mapping })) + Ok(Some(FinalizeResult { + metadata: parquet_metadata, + crc32, + row_id_mapping, + })) } Err(_) => { - log_error!("ERROR: IPC Writer still in use for temp file: {}", temp_filename); + log_error!( + "ERROR: IPC Writer still in use for temp file: {}", + temp_filename + ); Err("IPC Writer still in use".into()) } } @@ -575,7 +661,10 @@ impl NativeParquetWriter { match writer.close() { Ok(_) => { let crc32 = crc_handle.map(|h| h.crc32()).unwrap_or(0); - log_info!("Successfully closed temp writer for: {}", temp_filename); + log_info!( + "Successfully closed temp writer for: {}", + temp_filename + ); // Parquet variant is used for non-sorted data; just rename. std::fs::rename(&temp_filename, &filename)?; @@ -586,16 +675,26 @@ impl NativeParquetWriter { let reader = SerializedFileReader::new(file)?; let parquet_metadata = reader.metadata().clone(); - Ok(Some(FinalizeResult { metadata: parquet_metadata, crc32, row_id_mapping: None })) + Ok(Some(FinalizeResult { + metadata: parquet_metadata, + crc32, + row_id_mapping: None, + })) } Err(e) => { - log_error!("ERROR: Failed to close writer for temp file: {}", temp_filename); + log_error!( + "ERROR: Failed to close writer for temp file: {}", + temp_filename + ); Err(e.into()) } } } Err(_) => { - log_error!("ERROR: Writer still in use for temp file: {}", temp_filename); + log_error!( + "ERROR: Writer still in use for temp file: {}", + temp_filename + ); Err("Writer still in use".into()) } } @@ -629,8 +728,12 @@ impl NativeParquetWriter { .get(index_name) .map(|r| r.clone()) .unwrap_or_default(); - let props = WriterPropertiesBuilder::build_with_generation(&config, Some(writer_generation), &schema) - .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; + let props = WriterPropertiesBuilder::build_with_generation( + &config, + Some(writer_generation), + &schema, + ) + .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; let file = File::create(output_filename)?; let writer = ArrowWriter::try_new(file, schema, Some(props))?; writer.close()?; @@ -671,10 +774,15 @@ impl NativeParquetWriter { let overall_start = std::time::Instant::now(); log_info!( "finalize_sorted_chunks: merging {} pre-sorted chunks for {}", - chunk_paths.len(), output_filename + chunk_paths.len(), + output_filename ); - let mut merge_reservation = MemoryReservation::new(write_pool(), "writer:k_way_merge", PoolBehavior::IgnoreLimit); + let mut merge_reservation = MemoryReservation::new( + write_pool(), + "writer:k_way_merge", + PoolBehavior::IgnoreLimit, + ); let merge_output = merge_sorted_with_pool( chunk_paths, output_filename, @@ -691,7 +799,8 @@ impl NativeParquetWriter { let merge_duration = overall_start.elapsed(); log_info!( "finalize_sorted_chunks: k-way merge complete: {} chunks merged, duration={:?}", - chunk_paths.len(), merge_duration + chunk_paths.len(), + merge_duration ); // Build the flat permutation: result[original_row_id] = new_row_id @@ -718,7 +827,11 @@ impl NativeParquetWriter { drop(merge_output); // merge_output.mapping freed — release its share, flat_mapping remains tracked reservation.shrink(mapping_bytes); - log_info!("finalize_sorted_chunks: produced {} permutation entries for {}", flat_mapping.len(), output_filename); + log_info!( + "finalize_sorted_chunks: produced {} permutation entries for {}", + flat_mapping.len(), + output_filename + ); Some(flat_mapping) } else { None @@ -726,7 +839,9 @@ impl NativeParquetWriter { log_info!( "finalize_sorted_chunks: DONE file={}, chunks={}, merge_duration={:?}", - output_filename, chunk_paths.len(), merge_duration + output_filename, + chunk_paths.len(), + merge_duration ); Ok((crc32, row_id_mapping)) } @@ -744,7 +859,9 @@ impl NativeParquetWriter { .iter() .enumerate() .map(|(i, col_name)| { - let col_index = batch.schema().index_of(col_name) + let col_index = batch + .schema() + .index_of(col_name) .map_err(|_| format!("Sort column '{}' not found in schema", col_name))?; let data_type = batch.schema().field(col_index).data_type().clone(); let options = arrow::compute::SortOptions { @@ -790,20 +907,26 @@ impl NativeParquetWriter { .get(index_name) .map(|r| r.clone()) .unwrap_or_default(); - let props = WriterPropertiesBuilder::build_with_generation(&config, writer_generation, &schema) - .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; + let props = + WriterPropertiesBuilder::build_with_generation(&config, writer_generation, &schema) + .map_err(|e| format!("Invalid encoding/compression config: {}", e))?; let file = File::create(output_filename)?; let (crc_file, crc_handle) = CrcWriter::new(file); let mut writer = ArrowWriter::try_new(crc_file, schema, Some(props))?; writer.write(batch)?; writer.close()?; let crc32 = crc_handle.crc32(); - log_debug!("Successfully wrote final file: {} (crc32={:#010x})", output_filename, crc32); + log_debug!( + "Successfully wrote final file: {} (crc32={:#010x})", + output_filename, + crc32 + ); Ok(crc32) } - - pub fn get_filtered_writer_memory_usage(path_prefix: String) -> Result> { + pub fn get_filtered_writer_memory_usage( + path_prefix: String, + ) -> Result> { let mut total_memory = 0; for entry in WRITERS.iter() { if entry.key().starts_with(&path_prefix) { @@ -813,12 +936,19 @@ impl NativeParquetWriter { Ok(total_memory) } - pub fn get_file_metadata(filename: String) -> Result> { + pub fn get_file_metadata( + filename: String, + ) -> Result> { let file = File::open(&filename)?; let reader = SerializedFileReader::new(file)?; let metadata = reader.metadata().clone(); - log_debug!("Metadata for {}: version={}, num_rows={}, num_row_groups={}", - filename, metadata.file_metadata().version(), metadata.file_metadata().num_rows(), metadata.num_row_groups()); + log_debug!( + "Metadata for {}: version={}, num_rows={}, num_row_groups={}", + filename, + metadata.file_metadata().version(), + metadata.file_metadata().num_rows(), + metadata.num_row_groups() + ); Ok(metadata) } } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer_properties_builder.rs b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer_properties_builder.rs index 8679951847a28..1e8b29de8463c 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/src/writer_properties_builder.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/src/writer_properties_builder.rs @@ -6,7 +6,7 @@ * compatible open source license. */ -use parquet::basic::{Compression, Encoding, ZstdLevel, GzipLevel, BrotliLevel}; +use parquet::basic::{BrotliLevel, Compression, Encoding, GzipLevel, ZstdLevel}; use parquet::file::metadata::{FileMetaData, KeyValue}; use parquet::file::properties::WriterProperties; @@ -102,12 +102,19 @@ impl WriterPropertiesBuilder { /// # Returns /// /// A fully configured WriterProperties instance - pub fn build(config: &NativeSettings, schema: &ArrowSchema) -> Result { + pub fn build( + config: &NativeSettings, + schema: &ArrowSchema, + ) -> Result { Self::build_with_generation(config, None, schema) } /// Builds WriterProperties with an optional writer generation stored as key-value metadata. - pub fn build_with_generation(config: &NativeSettings, writer_generation: Option, schema: &ArrowSchema) -> Result { + pub fn build_with_generation( + config: &NativeSettings, + writer_generation: Option, + schema: &ArrowSchema, + ) -> Result { let mut builder = WriterProperties::builder(); // Apply compression settings @@ -127,9 +134,10 @@ impl WriterPropertiesBuilder { // Build the full KV metadata vector. Format version is always stamped; writer // generation is stamped only when provided. - let mut kv_metadata = vec![ - KeyValue::new(FORMAT_VERSION_KEY.to_string(), Some(FORMAT_VERSION.to_string())), - ]; + let mut kv_metadata = vec![KeyValue::new( + FORMAT_VERSION_KEY.to_string(), + Some(FORMAT_VERSION.to_string()), + )]; if let Some(gen) = writer_generation { kv_metadata.push(KeyValue::new( WRITER_GENERATION_KEY.to_string(), @@ -144,11 +152,11 @@ impl WriterPropertiesBuilder { /// Applies compression settings to the builder. fn apply_compression_settings( builder: parquet::file::properties::WriterPropertiesBuilder, - config: &NativeSettings + config: &NativeSettings, ) -> Result { let compression = Self::parse_compression_type( config.get_compression_type(), - config.get_compression_level() + config.get_compression_level(), )?; Ok(builder.set_compression(compression)) } @@ -156,7 +164,7 @@ impl WriterPropertiesBuilder { /// Applies page size and row limit settings. fn apply_page_settings( builder: parquet::file::properties::WriterPropertiesBuilder, - config: &NativeSettings + config: &NativeSettings, ) -> parquet::file::properties::WriterPropertiesBuilder { builder .set_data_page_size_limit(config.get_page_size_bytes()) @@ -166,7 +174,7 @@ impl WriterPropertiesBuilder { /// Applies row group row count and byte size limits. fn apply_row_group_settings( builder: parquet::file::properties::WriterPropertiesBuilder, - config: &NativeSettings + config: &NativeSettings, ) -> parquet::file::properties::WriterPropertiesBuilder { builder .set_max_row_group_row_count(Some(config.get_row_group_max_rows())) @@ -176,7 +184,7 @@ impl WriterPropertiesBuilder { /// Applies dictionary encoding settings. fn apply_dictionary_settings( builder: parquet::file::properties::WriterPropertiesBuilder, - config: &NativeSettings + config: &NativeSettings, ) -> parquet::file::properties::WriterPropertiesBuilder { builder.set_dictionary_page_size_limit(config.get_dict_size_bytes()) } @@ -189,115 +197,167 @@ impl WriterPropertiesBuilder { schema: &ArrowSchema, ) -> Result { let type_map: std::collections::HashMap<&str, (&arrow::datatypes::DataType, String)> = - schema.fields().iter() - .map(|f| (f.name().as_str(), (f.data_type(), arrow_type_key(f.data_type())))) + schema + .fields() + .iter() + .map(|f| { + ( + f.name().as_str(), + (f.data_type(), arrow_type_key(f.data_type())), + ) + }) .collect(); let mut field_names: std::collections::HashSet<&str> = std::collections::HashSet::new(); if let Some(fc) = &config.field_configs { - for name in fc.keys() { field_names.insert(name.as_str()); } + for name in fc.keys() { + field_names.insert(name.as_str()); + } + } + for f in schema.fields() { + field_names.insert(f.name().as_str()); } - for f in schema.fields() { field_names.insert(f.name().as_str()); } for field_name in field_names { - let index_cfg = config.field_configs.as_ref().and_then(|m| m.get(field_name)); + let index_cfg = config + .field_configs + .as_ref() + .and_then(|m| m.get(field_name)); let (arrow_type, type_key) = match type_map.get(field_name) { Some(v) => (v.0, Some(v.1.as_str())), - None => return Err(format!( - "Field '{}' in field_configs does not exist in schema", field_name - )), + None => { + return Err(format!( + "Field '{}' in field_configs does not exist in schema", + field_name + )) + } }; // Encoding: parse once, validate, apply. Skip if nothing set. - let encoding: Option = if let Some(enc) = index_cfg.and_then(|fc| fc.encoding_type.as_deref()) { - let parsed = Self::parse_encoding_type(enc)?; - if !Self::is_encoding_valid_for_type(parsed, arrow_type) { - return Err(format!( - "Encoding '{}' is not supported for field '{}' of type '{:?}'", - enc, field_name, arrow_type - )); - } - Some(parsed) - } else if let Some(enc) = type_key.and_then(|t| config.type_encoding_configs.as_ref()?.get(t).map(|s| s.as_str())) { - let parsed = Self::parse_encoding_type(enc)?; - if !Self::is_encoding_valid_for_type(parsed, arrow_type) { - return Err(format!( + let encoding: Option = + if let Some(enc) = index_cfg.and_then(|fc| fc.encoding_type.as_deref()) { + let parsed = Self::parse_encoding_type(enc)?; + if !Self::is_encoding_valid_for_type(parsed, arrow_type) { + return Err(format!( + "Encoding '{}' is not supported for field '{}' of type '{:?}'", + enc, field_name, arrow_type + )); + } + Some(parsed) + } else if let Some(enc) = type_key.and_then(|t| { + config + .type_encoding_configs + .as_ref()? + .get(t) + .map(|s| s.as_str()) + }) { + let parsed = Self::parse_encoding_type(enc)?; + if !Self::is_encoding_valid_for_type(parsed, arrow_type) { + return Err(format!( "Cluster-level encoding '{}' is not supported for type '{:?}' (field '{}')", enc, arrow_type, field_name )); - } - Some(parsed) - } else { - // Metadata field defaults by name, then type-based defaults - match field_name { - "__row_id__" | "_seq_no" | "_primary_term" | "_version" => Some(Encoding::DELTA_BINARY_PACKED), - "_id" => Some(Encoding::PLAIN), - _ => match type_key { - Some("timestamp") => Some(Encoding::DELTA_BINARY_PACKED), - _ => None, - }, - } - }; + } + Some(parsed) + } else { + // Metadata field defaults by name, then type-based defaults + match field_name { + "__row_id__" | "_seq_no" | "_primary_term" | "_version" => { + Some(Encoding::DELTA_BINARY_PACKED) + } + "_id" => Some(Encoding::PLAIN), + _ => match type_key { + Some("timestamp") => Some(Encoding::DELTA_BINARY_PACKED), + _ => None, + }, + } + }; if let Some(enc) = encoding { - if matches!(enc, Encoding::DELTA_BINARY_PACKED | Encoding::DELTA_BYTE_ARRAY - | Encoding::DELTA_LENGTH_BYTE_ARRAY | Encoding::BYTE_STREAM_SPLIT - | Encoding::RLE) { - builder = builder.set_column_dictionary_enabled( - field_name.to_string().into(), false - ); + if matches!( + enc, + Encoding::DELTA_BINARY_PACKED + | Encoding::DELTA_BYTE_ARRAY + | Encoding::DELTA_LENGTH_BYTE_ARRAY + | Encoding::BYTE_STREAM_SPLIT + | Encoding::RLE + ) { + builder = + builder.set_column_dictionary_enabled(field_name.to_string().into(), false); builder = builder.set_column_encoding(field_name.to_string().into(), enc); } else if matches!(enc, Encoding::RLE_DICTIONARY) { // RLE_DICTIONARY means use dictionary encoding - just ensure it's enabled - builder = builder.set_column_dictionary_enabled( - field_name.to_string().into(), true - ); + builder = + builder.set_column_dictionary_enabled(field_name.to_string().into(), true); } else { // PLAIN: explicitly disable dictionary so the writer uses plain encoding - builder = builder.set_column_dictionary_enabled( - field_name.to_string().into(), false - ); + builder = + builder.set_column_dictionary_enabled(field_name.to_string().into(), false); builder = builder.set_column_encoding(field_name.to_string().into(), enc); } } // Compression: parse once, apply. No type restriction. let level = index_cfg.and_then(|fc| fc.compression_level).unwrap_or(3); - let compression: Option = if let Some(comp) = index_cfg.and_then(|fc| fc.compression_type.as_deref()) { - Some(Self::parse_compression_type(comp, level)?) - } else if let Some(comp) = type_key.and_then(|t| config.type_compression_configs.as_ref()?.get(t).map(|s| s.as_str())) { - Some(Self::parse_compression_type(comp, level)?) - } else { - // Metadata field defaults by name, then type-based defaults - match field_name { - "_primary_term" | "_version" => Some(Compression::UNCOMPRESSED), - "_id" => Some(Self::parse_compression_type("LZ4_RAW", 0)?), - _ => match type_key { - Some("utf8") | Some("binary") => Some(Self::parse_compression_type("ZSTD", 3)?), - _ => None, - }, - } - }; + let compression: Option = + if let Some(comp) = index_cfg.and_then(|fc| fc.compression_type.as_deref()) { + Some(Self::parse_compression_type(comp, level)?) + } else if let Some(comp) = type_key.and_then(|t| { + config + .type_compression_configs + .as_ref()? + .get(t) + .map(|s| s.as_str()) + }) { + Some(Self::parse_compression_type(comp, level)?) + } else { + // Metadata field defaults by name, then type-based defaults + match field_name { + "_primary_term" | "_version" => Some(Compression::UNCOMPRESSED), + "_id" => Some(Self::parse_compression_type("LZ4_RAW", 0)?), + _ => match type_key { + Some("utf8") | Some("binary") => { + Some(Self::parse_compression_type("ZSTD", 3)?) + } + _ => None, + }, + } + }; if let Some(comp) = compression { builder = builder.set_column_compression(field_name.to_string().into(), comp); } // Bloom filter: field-level > type-level > global. Applied per-column. - let bf_enabled = index_cfg.and_then(|fc| fc.bloom_filter_enabled) - .or_else(|| type_key.and_then(|t| config.type_bloom_filter_enabled.as_ref()?.get(t).copied())) + let bf_enabled = index_cfg + .and_then(|fc| fc.bloom_filter_enabled) + .or_else(|| { + type_key + .and_then(|t| config.type_bloom_filter_enabled.as_ref()?.get(t).copied()) + }) .unwrap_or(config.get_bloom_filter_enabled()); if bf_enabled { - builder = builder.set_column_bloom_filter_enabled(field_name.to_string().into(), true); - let bf_fpp = index_cfg.and_then(|fc| fc.bloom_filter_fpp) - .or_else(|| type_key.and_then(|t| config.type_bloom_filter_fpp.as_ref()?.get(t).copied())) + builder = + builder.set_column_bloom_filter_enabled(field_name.to_string().into(), true); + let bf_fpp = index_cfg + .and_then(|fc| fc.bloom_filter_fpp) + .or_else(|| { + type_key + .and_then(|t| config.type_bloom_filter_fpp.as_ref()?.get(t).copied()) + }) .unwrap_or(config.get_bloom_filter_fpp()); - builder = builder.set_column_bloom_filter_fpp(field_name.to_string().into(), bf_fpp); - let bf_ndv = index_cfg.and_then(|fc| fc.bloom_filter_ndv) - .or_else(|| type_key.and_then(|t| config.type_bloom_filter_ndv.as_ref()?.get(t).copied())) + builder = + builder.set_column_bloom_filter_fpp(field_name.to_string().into(), bf_fpp); + let bf_ndv = index_cfg + .and_then(|fc| fc.bloom_filter_ndv) + .or_else(|| { + type_key + .and_then(|t| config.type_bloom_filter_ndv.as_ref()?.get(t).copied()) + }) .unwrap_or(config.get_bloom_filter_ndv()); - builder = builder.set_column_bloom_filter_ndv(field_name.to_string().into(), bf_ndv); + builder = + builder.set_column_bloom_filter_ndv(field_name.to_string().into(), bf_ndv); } } Ok(builder) @@ -309,17 +369,31 @@ impl WriterPropertiesBuilder { Encoding::PLAIN => true, Encoding::RLE_DICTIONARY => !matches!(dt, Boolean), Encoding::RLE => matches!(dt, Boolean), - Encoding::DELTA_BINARY_PACKED => matches!(dt, - Int8 | Int16 | Int32 | Int64 | UInt8 | UInt16 | UInt32 | UInt64 - | Timestamp(_, _) | Date32 | Date64 | Time32(_) | Time64(_) | Duration(_) - ), - Encoding::DELTA_LENGTH_BYTE_ARRAY => matches!(dt, - Utf8 | LargeUtf8 | Binary | LargeBinary + Encoding::DELTA_BINARY_PACKED => matches!( + dt, + Int8 | Int16 + | Int32 + | Int64 + | UInt8 + | UInt16 + | UInt32 + | UInt64 + | Timestamp(_, _) + | Date32 + | Date64 + | Time32(_) + | Time64(_) + | Duration(_) ), - Encoding::DELTA_BYTE_ARRAY => matches!(dt, + Encoding::DELTA_LENGTH_BYTE_ARRAY => { + matches!(dt, Utf8 | LargeUtf8 | Binary | LargeBinary) + } + Encoding::DELTA_BYTE_ARRAY => matches!( + dt, Utf8 | LargeUtf8 | Binary | LargeBinary | FixedSizeBinary(_) ), - Encoding::BYTE_STREAM_SPLIT => matches!(dt, + Encoding::BYTE_STREAM_SPLIT => matches!( + dt, Float32 | Float64 | Int32 | Int64 | UInt32 | UInt64 | FixedSizeBinary(_) ), _ => true, @@ -353,14 +427,14 @@ impl WriterPropertiesBuilder { fn parse_compression_type(compression_type: &str, level: i32) -> Result { match compression_type.to_uppercase().as_str() { "ZSTD" => Ok(Compression::ZSTD( - ZstdLevel::try_new(level).unwrap_or(ZstdLevel::default()) + ZstdLevel::try_new(level).unwrap_or(ZstdLevel::default()), )), "SNAPPY" => Ok(Compression::SNAPPY), "GZIP" => Ok(Compression::GZIP( - GzipLevel::try_new(level as u32).unwrap_or_default() + GzipLevel::try_new(level as u32).unwrap_or_default(), )), "BROTLI" => Ok(Compression::BROTLI( - BrotliLevel::try_new(level as u32).unwrap_or_default() + BrotliLevel::try_new(level as u32).unwrap_or_default(), )), "LZ4_RAW" => Ok(Compression::LZ4_RAW), "UNCOMPRESSED" => Ok(Compression::UNCOMPRESSED), @@ -372,19 +446,22 @@ impl WriterPropertiesBuilder { #[cfg(test)] mod tests { use super::*; - use crate::native_settings::NativeSettings; use crate::field_config::FieldConfig; + use crate::native_settings::NativeSettings; + use arrow::datatypes::{DataType as ArrowDataType, Field, Schema as ArrowSchema}; use std::collections::HashMap; - use arrow::datatypes::{Field, Schema as ArrowSchema, DataType as ArrowDataType}; fn empty_schema() -> ArrowSchema { ArrowSchema::new(Vec::::new()) } fn schema_with(fields: Vec<(&str, ArrowDataType)>) -> ArrowSchema { - ArrowSchema::new(fields.into_iter() - .map(|(name, dt)| Field::new(name, dt, true)) - .collect::>()) + ArrowSchema::new( + fields + .into_iter() + .map(|(name, dt)| Field::new(name, dt, true)) + .collect::>(), + ) } #[test] @@ -395,17 +472,38 @@ mod tests { ..Default::default() }; let props = WriterPropertiesBuilder::build(&config, &empty_schema()).unwrap(); - assert_ne!(props.compression(&parquet::schema::types::ColumnPath::from("test")), Compression::UNCOMPRESSED); + assert_ne!( + props.compression(&parquet::schema::types::ColumnPath::from("test")), + Compression::UNCOMPRESSED + ); } #[test] fn test_parse_compression_types() { - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("ZSTD", 3).unwrap(), Compression::ZSTD(_))); - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("SNAPPY", 0).unwrap(), Compression::SNAPPY)); - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("GZIP", 6).unwrap(), Compression::GZIP(_))); - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("LZ4_RAW", 0).unwrap(), Compression::LZ4_RAW)); - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("BROTLI", 3).unwrap(), Compression::BROTLI(_))); - assert!(matches!(WriterPropertiesBuilder::parse_compression_type("UNCOMPRESSED", 0).unwrap(), Compression::UNCOMPRESSED)); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("ZSTD", 3).unwrap(), + Compression::ZSTD(_) + )); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("SNAPPY", 0).unwrap(), + Compression::SNAPPY + )); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("GZIP", 6).unwrap(), + Compression::GZIP(_) + )); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("LZ4_RAW", 0).unwrap(), + Compression::LZ4_RAW + )); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("BROTLI", 3).unwrap(), + Compression::BROTLI(_) + )); + assert!(matches!( + WriterPropertiesBuilder::parse_compression_type("UNCOMPRESSED", 0).unwrap(), + Compression::UNCOMPRESSED + )); // LZ4 (framed) is deprecated per Parquet spec - use LZ4_RAW instead assert!(WriterPropertiesBuilder::parse_compression_type("LZ4", 0).is_err()); assert!(WriterPropertiesBuilder::parse_compression_type("SNPPY", 0).is_err()); @@ -414,11 +512,26 @@ mod tests { #[test] fn test_parse_encoding_types() { - assert_eq!(WriterPropertiesBuilder::parse_encoding_type("PLAIN").unwrap(), Encoding::PLAIN); - assert_eq!(WriterPropertiesBuilder::parse_encoding_type("DELTA_BINARY_PACKED").unwrap(), Encoding::DELTA_BINARY_PACKED); - assert_eq!(WriterPropertiesBuilder::parse_encoding_type("DELTA").unwrap(), Encoding::DELTA_BINARY_PACKED); - assert_eq!(WriterPropertiesBuilder::parse_encoding_type("RLE_DICTIONARY").unwrap(), Encoding::RLE_DICTIONARY); - assert_eq!(WriterPropertiesBuilder::parse_encoding_type("DICTIONARY").unwrap(), Encoding::RLE_DICTIONARY); + assert_eq!( + WriterPropertiesBuilder::parse_encoding_type("PLAIN").unwrap(), + Encoding::PLAIN + ); + assert_eq!( + WriterPropertiesBuilder::parse_encoding_type("DELTA_BINARY_PACKED").unwrap(), + Encoding::DELTA_BINARY_PACKED + ); + assert_eq!( + WriterPropertiesBuilder::parse_encoding_type("DELTA").unwrap(), + Encoding::DELTA_BINARY_PACKED + ); + assert_eq!( + WriterPropertiesBuilder::parse_encoding_type("RLE_DICTIONARY").unwrap(), + Encoding::RLE_DICTIONARY + ); + assert_eq!( + WriterPropertiesBuilder::parse_encoding_type("DICTIONARY").unwrap(), + Encoding::RLE_DICTIONARY + ); assert!(WriterPropertiesBuilder::parse_encoding_type("DELTA_BINRY_PACKED").is_err()); assert!(WriterPropertiesBuilder::parse_encoding_type("unknown").is_err()); } @@ -426,10 +539,13 @@ mod tests { #[test] fn test_field_encoding_applied() { let mut field_configs = HashMap::new(); - field_configs.insert("row_id".to_string(), FieldConfig { - encoding_type: Some("DELTA_BINARY_PACKED".to_string()), - ..Default::default() - }); + field_configs.insert( + "row_id".to_string(), + FieldConfig { + encoding_type: Some("DELTA_BINARY_PACKED".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() @@ -437,16 +553,22 @@ mod tests { let schema = schema_with(vec![("row_id", ArrowDataType::Int64)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("row_id"); - assert_eq!(props.encoding(&col_path), Some(Encoding::DELTA_BINARY_PACKED)); + assert_eq!( + props.encoding(&col_path), + Some(Encoding::DELTA_BINARY_PACKED) + ); } #[test] fn test_field_level_compression_applied() { let mut field_configs = HashMap::new(); - field_configs.insert("timestamp".to_string(), FieldConfig { - compression_type: Some("SNAPPY".to_string()), - ..Default::default() - }); + field_configs.insert( + "timestamp".to_string(), + FieldConfig { + compression_type: Some("SNAPPY".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() @@ -454,17 +576,23 @@ mod tests { let schema = schema_with(vec![("timestamp", ArrowDataType::Int64)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("timestamp"); - assert!(matches!(props.compression(&col_path), Compression::SNAPPY), - "expected SNAPPY but got {:?}", props.compression(&col_path)); + assert!( + matches!(props.compression(&col_path), Compression::SNAPPY), + "expected SNAPPY but got {:?}", + props.compression(&col_path) + ); } #[test] fn test_unknown_field_in_field_configs_returns_error() { let mut field_configs = HashMap::new(); - field_configs.insert("nonexistent".to_string(), FieldConfig { - encoding_type: Some("PLAIN".to_string()), - ..Default::default() - }); + field_configs.insert( + "nonexistent".to_string(), + FieldConfig { + encoding_type: Some("PLAIN".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() @@ -478,10 +606,13 @@ mod tests { #[test] fn test_invalid_encoding_for_type_returns_error() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("DELTA_BINARY_PACKED".to_string()), // invalid for utf8 - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("DELTA_BINARY_PACKED".to_string()), // invalid for utf8 + ..Default::default() + }, + ); let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() @@ -509,10 +640,13 @@ mod tests { #[test] fn test_valid_encoding_for_type_succeeds() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("DELTA_BYTE_ARRAY".to_string()), // valid for utf8 - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("DELTA_BYTE_ARRAY".to_string()), // valid for utf8 + ..Default::default() + }, + ); let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() @@ -524,22 +658,34 @@ mod tests { #[test] fn test_rle_valid_only_for_boolean() { let mut field_configs = HashMap::new(); - field_configs.insert("flag".to_string(), FieldConfig { - encoding_type: Some("RLE".to_string()), + field_configs.insert( + "flag".to_string(), + FieldConfig { + encoding_type: Some("RLE".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs.clone()), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs.clone()), ..Default::default() }; + }; // valid for boolean let schema = schema_with(vec![("flag", ArrowDataType::Boolean)]); assert!(WriterPropertiesBuilder::build(&config, &schema).is_ok()); // invalid for int32 - field_configs.insert("flag".to_string(), FieldConfig { - encoding_type: Some("RLE".to_string()), + field_configs.insert( + "flag".to_string(), + FieldConfig { + encoding_type: Some("RLE".to_string()), + ..Default::default() + }, + ); + let config2 = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config2 = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema2 = schema_with(vec![("flag", ArrowDataType::Int32)]); assert!(WriterPropertiesBuilder::build(&config2, &schema2).is_err()); } @@ -547,11 +693,17 @@ mod tests { #[test] fn test_rle_disables_dictionary_for_boolean() { let mut field_configs = HashMap::new(); - field_configs.insert("flag".to_string(), FieldConfig { - encoding_type: Some("RLE".to_string()), + field_configs.insert( + "flag".to_string(), + FieldConfig { + encoding_type: Some("RLE".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("flag", ArrowDataType::Boolean)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("flag"); @@ -564,11 +716,17 @@ mod tests { // RLE_DICTIONARY should enable dictionary encoding, not set a column encoding // (setting it as column encoding causes parquet-rs error) let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("RLE_DICTIONARY".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("RLE_DICTIONARY".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("name"); @@ -581,11 +739,17 @@ mod tests { #[test] fn test_dictionary_alias_enables_dictionary() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("DICTIONARY".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("DICTIONARY".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("name"); @@ -596,11 +760,17 @@ mod tests { #[test] fn test_rle_dictionary_invalid_for_boolean() { let mut field_configs = HashMap::new(); - field_configs.insert("flag".to_string(), FieldConfig { - encoding_type: Some("RLE_DICTIONARY".to_string()), + field_configs.insert( + "flag".to_string(), + FieldConfig { + encoding_type: Some("RLE_DICTIONARY".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("flag", ArrowDataType::Boolean)]); assert!(WriterPropertiesBuilder::build(&config, &schema).is_err()); } @@ -608,42 +778,65 @@ mod tests { #[test] fn test_plain_encoding_applied() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("PLAIN".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("PLAIN".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("name"); assert_eq!(props.encoding(&col_path), Some(Encoding::PLAIN)); - assert!(!props.dictionary_enabled(&col_path), - "PLAIN encoding should explicitly disable dictionary"); + assert!( + !props.dictionary_enabled(&col_path), + "PLAIN encoding should explicitly disable dictionary" + ); } #[test] fn test_delta_binary_packed_disables_dictionary() { let mut field_configs = HashMap::new(); - field_configs.insert("age".to_string(), FieldConfig { - encoding_type: Some("DELTA_BINARY_PACKED".to_string()), + field_configs.insert( + "age".to_string(), + FieldConfig { + encoding_type: Some("DELTA_BINARY_PACKED".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("age", ArrowDataType::Int32)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("age"); - assert_eq!(props.encoding(&col_path), Some(Encoding::DELTA_BINARY_PACKED)); + assert_eq!( + props.encoding(&col_path), + Some(Encoding::DELTA_BINARY_PACKED) + ); assert!(!props.dictionary_enabled(&col_path)); } #[test] fn test_delta_byte_array_disables_dictionary() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("DELTA_BYTE_ARRAY".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("DELTA_BYTE_ARRAY".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("name"); @@ -654,26 +847,41 @@ mod tests { #[test] fn test_delta_length_byte_array_on_string() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("DELTA_LENGTH_BYTE_ARRAY".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("DELTA_LENGTH_BYTE_ARRAY".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("name"); - assert_eq!(props.encoding(&col_path), Some(Encoding::DELTA_LENGTH_BYTE_ARRAY)); + assert_eq!( + props.encoding(&col_path), + Some(Encoding::DELTA_LENGTH_BYTE_ARRAY) + ); assert!(!props.dictionary_enabled(&col_path)); } #[test] fn test_byte_stream_split_on_float() { let mut field_configs = HashMap::new(); - field_configs.insert("score".to_string(), FieldConfig { - encoding_type: Some("BYTE_STREAM_SPLIT".to_string()), + field_configs.insert( + "score".to_string(), + FieldConfig { + encoding_type: Some("BYTE_STREAM_SPLIT".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("score", ArrowDataType::Float64)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("score"); @@ -684,11 +892,17 @@ mod tests { #[test] fn test_byte_stream_split_invalid_for_string() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - encoding_type: Some("BYTE_STREAM_SPLIT".to_string()), + field_configs.insert( + "name".to_string(), + FieldConfig { + encoding_type: Some("BYTE_STREAM_SPLIT".to_string()), + ..Default::default() + }, + ); + let config = NativeSettings { + field_configs: Some(field_configs), ..Default::default() - }); - let config = NativeSettings { field_configs: Some(field_configs), ..Default::default() }; + }; let schema = schema_with(vec![("name", ArrowDataType::Utf8)]); assert!(WriterPropertiesBuilder::build(&config, &schema).is_err()); } @@ -704,7 +918,10 @@ mod tests { let schema = schema_with(vec![("age", ArrowDataType::Int64)]); let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("age"); - assert_eq!(props.encoding(&col_path), Some(Encoding::DELTA_BINARY_PACKED)); + assert_eq!( + props.encoding(&col_path), + Some(Encoding::DELTA_BINARY_PACKED) + ); assert!(!props.dictionary_enabled(&col_path)); } @@ -714,10 +931,13 @@ mod tests { let mut type_encoding = HashMap::new(); type_encoding.insert("int64".to_string(), "DELTA_BINARY_PACKED".to_string()); let mut field_configs = HashMap::new(); - field_configs.insert("age".to_string(), FieldConfig { - encoding_type: Some("PLAIN".to_string()), - ..Default::default() - }); + field_configs.insert( + "age".to_string(), + FieldConfig { + encoding_type: Some("PLAIN".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { type_encoding_configs: Some(type_encoding), field_configs: Some(field_configs), @@ -748,10 +968,13 @@ mod tests { let mut type_compression = HashMap::new(); type_compression.insert("utf8".to_string(), "SNAPPY".to_string()); let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - compression_type: Some("ZSTD".to_string()), - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + compression_type: Some("ZSTD".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { type_compression_configs: Some(type_compression), field_configs: Some(field_configs), @@ -791,7 +1014,10 @@ mod tests { let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("test_col"); let bf_props = props.bloom_filter_properties(&col_path); - assert!(bf_props.is_some(), "bloom_filter_properties should be Some when enabled"); + assert!( + bf_props.is_some(), + "bloom_filter_properties should be Some when enabled" + ); } #[test] @@ -802,20 +1028,29 @@ mod tests { let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("test_col"); let bf_props = props.bloom_filter_properties(&col_path); - assert!(bf_props.is_none(), "Default should have bloom filter disabled"); + assert!( + bf_props.is_none(), + "Default should have bloom filter disabled" + ); } #[test] fn test_column_bloom_filter_disabled_overrides_global() { let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - bloom_filter_enabled: Some(false), - ..Default::default() - }); - field_configs.insert("value".to_string(), FieldConfig { - bloom_filter_enabled: Some(true), - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + bloom_filter_enabled: Some(false), + ..Default::default() + }, + ); + field_configs.insert( + "value".to_string(), + FieldConfig { + bloom_filter_enabled: Some(true), + ..Default::default() + }, + ); let config = NativeSettings { bloom_filter_enabled: Some(true), field_configs: Some(field_configs), @@ -831,7 +1066,11 @@ mod tests { let value_path = parquet::schema::types::ColumnPath::from("value"); let name_bf = props.bloom_filter_properties(&name_path); - assert!(name_bf.is_none(), "name should have no bloom filter, got: {:?}", name_bf); + assert!( + name_bf.is_none(), + "name should have no bloom filter, got: {:?}", + name_bf + ); let value_bf = props.bloom_filter_properties(&value_path); assert!(value_bf.is_some(), "value should have bloom filter"); @@ -855,10 +1094,14 @@ mod tests { let name_path = parquet::schema::types::ColumnPath::from("name"); let age_path = parquet::schema::types::ColumnPath::from("age"); - assert!(props.bloom_filter_properties(&name_path).is_some(), - "utf8 type-level enabled should override global disabled"); - assert!(props.bloom_filter_properties(&age_path).is_none(), - "int32 has no type-level setting, should use global disabled"); + assert!( + props.bloom_filter_properties(&name_path).is_some(), + "utf8 type-level enabled should override global disabled" + ); + assert!( + props.bloom_filter_properties(&age_path).is_none(), + "int32 has no type-level setting, should use global disabled" + ); } #[test] @@ -866,10 +1109,13 @@ mod tests { let mut type_bf_enabled = HashMap::new(); type_bf_enabled.insert("utf8".to_string(), true); let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - bloom_filter_enabled: Some(false), - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + bloom_filter_enabled: Some(false), + ..Default::default() + }, + ); let config = NativeSettings { bloom_filter_enabled: Some(false), type_bloom_filter_enabled: Some(type_bf_enabled), @@ -880,8 +1126,10 @@ mod tests { let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let name_path = parquet::schema::types::ColumnPath::from("name"); - assert!(props.bloom_filter_properties(&name_path).is_none(), - "field-level disabled should override type-level enabled"); + assert!( + props.bloom_filter_properties(&name_path).is_none(), + "field-level disabled should override type-level enabled" + ); } #[test] @@ -896,16 +1144,22 @@ mod tests { type_bf_ndv.insert("utf8".to_string(), 50_000u64); let mut field_configs = HashMap::new(); - field_configs.insert("name".to_string(), FieldConfig { - bloom_filter_enabled: Some(true), - bloom_filter_fpp: Some(0.01), - bloom_filter_ndv: Some(200_000), - ..Default::default() - }); - field_configs.insert("title".to_string(), FieldConfig { - bloom_filter_enabled: Some(true), - ..Default::default() - }); + field_configs.insert( + "name".to_string(), + FieldConfig { + bloom_filter_enabled: Some(true), + bloom_filter_fpp: Some(0.01), + bloom_filter_ndv: Some(200_000), + ..Default::default() + }, + ); + field_configs.insert( + "title".to_string(), + FieldConfig { + bloom_filter_enabled: Some(true), + ..Default::default() + }, + ); let config = NativeSettings { bloom_filter_enabled: Some(true), @@ -925,18 +1179,36 @@ mod tests { let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); // "name": field-level fpp=0.01, ndv=200000 (overrides type utf8 fpp=0.05, ndv=50000) - let name_bf = props.bloom_filter_properties(&parquet::schema::types::ColumnPath::from("name")).unwrap(); - assert!((name_bf.fpp - 0.01).abs() < 1e-9, "name fpp should be 0.01, got {}", name_bf.fpp); + let name_bf = props + .bloom_filter_properties(&parquet::schema::types::ColumnPath::from("name")) + .unwrap(); + assert!( + (name_bf.fpp - 0.01).abs() < 1e-9, + "name fpp should be 0.01, got {}", + name_bf.fpp + ); assert_eq!(name_bf.ndv, 200_000, "name ndv should be 200000"); // "title": field-level enabled but no fpp/ndv -> falls to type utf8 fpp=0.05, ndv=50000 - let title_bf = props.bloom_filter_properties(&parquet::schema::types::ColumnPath::from("title")).unwrap(); - assert!((title_bf.fpp - 0.05).abs() < 1e-9, "title fpp should be 0.05, got {}", title_bf.fpp); + let title_bf = props + .bloom_filter_properties(&parquet::schema::types::ColumnPath::from("title")) + .unwrap(); + assert!( + (title_bf.fpp - 0.05).abs() < 1e-9, + "title fpp should be 0.05, got {}", + title_bf.fpp + ); assert_eq!(title_bf.ndv, 50_000, "title ndv should be 50000"); // "age": int32 type-level enabled but no fpp/ndv -> falls to global fpp=0.1, ndv=100000 - let age_bf = props.bloom_filter_properties(&parquet::schema::types::ColumnPath::from("age")).unwrap(); - assert!((age_bf.fpp - 0.1).abs() < 1e-9, "age fpp should be 0.1, got {}", age_bf.fpp); + let age_bf = props + .bloom_filter_properties(&parquet::schema::types::ColumnPath::from("age")) + .unwrap(); + assert!( + (age_bf.fpp - 0.1).abs() < 1e-9, + "age fpp should be 0.1, got {}", + age_bf.fpp + ); assert_eq!(age_bf.ndv, 100_000, "age ndv should be 100000"); } @@ -961,7 +1233,10 @@ mod tests { // "name" (utf8) should have no explicit encoding (uses default) assert_eq!(props.encoding(&name_path), None); // "age" (int64) should have DELTA_BINARY_PACKED - assert_eq!(props.encoding(&age_path), Some(Encoding::DELTA_BINARY_PACKED)); + assert_eq!( + props.encoding(&age_path), + Some(Encoding::DELTA_BINARY_PACKED) + ); } #[test] @@ -1006,7 +1281,10 @@ mod tests { assert_eq!(props.encoding(&name_path), Some(Encoding::DELTA_BYTE_ARRAY)); assert!(!props.dictionary_enabled(&name_path)); - assert_eq!(props.encoding(&age_path), Some(Encoding::DELTA_BINARY_PACKED)); + assert_eq!( + props.encoding(&age_path), + Some(Encoding::DELTA_BINARY_PACKED) + ); assert!(!props.dictionary_enabled(&age_path)); } @@ -1016,10 +1294,13 @@ mod tests { let mut type_encoding = HashMap::new(); type_encoding.insert("int32".to_string(), "DELTA_BINARY_PACKED".to_string()); let mut field_configs = HashMap::new(); - field_configs.insert("age".to_string(), FieldConfig { - encoding_type: Some("PLAIN".to_string()), - ..Default::default() - }); + field_configs.insert( + "age".to_string(), + FieldConfig { + encoding_type: Some("PLAIN".to_string()), + ..Default::default() + }, + ); let config = NativeSettings { type_encoding_configs: Some(type_encoding), field_configs: Some(field_configs), @@ -1029,8 +1310,10 @@ mod tests { let props = WriterPropertiesBuilder::build(&config, &schema).unwrap(); let col_path = parquet::schema::types::ColumnPath::from("age"); assert_eq!(props.encoding(&col_path), Some(Encoding::PLAIN)); - assert!(!props.dictionary_enabled(&col_path), - "PLAIN should disable dictionary even when overriding type-level"); + assert!( + !props.dictionary_enabled(&col_path), + "PLAIN should disable dictionary even when overriding type-level" + ); } #[test] @@ -1051,10 +1334,14 @@ mod tests { let age_path = parquet::schema::types::ColumnPath::from("age"); let name_path = parquet::schema::types::ColumnPath::from("name"); - assert!(matches!(props.compression(&age_path), Compression::ZSTD(_)), - "int32 type-level ZSTD should override global SNAPPY"); - assert!(matches!(props.compression(&name_path), Compression::ZSTD(_)), - "utf8 has type-level set to ZSTD"); + assert!( + matches!(props.compression(&age_path), Compression::ZSTD(_)), + "int32 type-level ZSTD should override global SNAPPY" + ); + assert!( + matches!(props.compression(&name_path), Compression::ZSTD(_)), + "utf8 has type-level set to ZSTD" + ); } #[test] @@ -1072,10 +1359,15 @@ mod tests { fn test_build_with_generation_stamps_both() { let config = NativeSettings::default(); let schema = ArrowSchema::new(Vec::::new()); - let props = WriterPropertiesBuilder::build_with_generation(&config, Some(42), &schema).expect("build failed"); + let props = WriterPropertiesBuilder::build_with_generation(&config, Some(42), &schema) + .expect("build failed"); let kv = props.key_value_metadata().expect("KV metadata missing"); - let has_format = kv.iter().any(|k| k.key == FORMAT_VERSION_KEY && k.value.as_deref() == Some(FORMAT_VERSION)); - let has_gen = kv.iter().any(|k| k.key == WRITER_GENERATION_KEY && k.value.as_deref() == Some("42")); + let has_format = kv + .iter() + .any(|k| k.key == FORMAT_VERSION_KEY && k.value.as_deref() == Some(FORMAT_VERSION)); + let has_gen = kv + .iter() + .any(|k| k.key == WRITER_GENERATION_KEY && k.value.as_deref() == Some("42")); assert!(has_format, "format_version stamp missing"); assert!(has_gen, "writer_generation stamp missing"); } diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/tests/merge_integration_tests.rs b/sandbox/plugins/parquet-data-format/src/main/rust/tests/merge_integration_tests.rs index c860c2d1fa515..2c6390dc65a24 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/tests/merge_integration_tests.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/tests/merge_integration_tests.rs @@ -11,22 +11,25 @@ use std::path::Path; use std::sync::Arc; use tempfile::tempdir; -use arrow::array::*; use arrow::array::types::TimestampMillisecondType; +use arrow::array::*; use arrow::datatypes::{DataType, Field, Schema}; use opensearch_parquet_format::merge::{merge_sorted, merge_unsorted}; use opensearch_parquet_format::native_settings::NativeSettings; use opensearch_parquet_format::writer::SETTINGS_STORE; -use parquet::arrow::ArrowWriter; use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; +use parquet::arrow::ArrowWriter; use parquet::file::reader::{FileReader, SerializedFileReader}; /// Register a small merge_batch_size for the given index so the cursor splits into multiple batches. fn register_small_batch_size(index_name: &str, batch_size: usize) { - SETTINGS_STORE.insert(index_name.to_string(), NativeSettings { - merge_batch_size: Some(batch_size), - ..Default::default() - }); + SETTINGS_STORE.insert( + index_name.to_string(), + NativeSettings { + merge_batch_size: Some(batch_size), + ..Default::default() + }, + ); } /// Write a single RecordBatch to a Parquet file. @@ -40,12 +43,17 @@ fn write_parquet(path: &str, batch: &RecordBatch) { /// Read all Int64 values from a column. fn read_all_int64(path: &str, col: &str) -> Vec { let file = File::open(path).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of(col).unwrap(); - let arr = batch.column(idx).as_primitive::(); + let arr = batch + .column(idx) + .as_primitive::(); for i in 0..arr.len() { vals.push(arr.value(i)); } @@ -129,13 +137,17 @@ fn verify_row_id_order(path: &str) { let file = File::open(path).unwrap(); let builder = ParquetRecordBatchReaderBuilder::try_new(file).unwrap(); let schema = builder.schema().clone(); - let col_idx = schema.index_of("__row_id__").expect("__row_id__ not in output"); + let col_idx = schema + .index_of("__row_id__") + .expect("__row_id__ not in output"); let reader = builder.build().unwrap(); let mut expected: i64 = 0; for batch in reader { let batch = batch.unwrap(); - let col = batch.column(col_idx).as_any() + let col = batch + .column(col_idx) + .as_any() .downcast_ref::() .expect("__row_id__ should be Int64"); for i in 0..col.len() { @@ -147,7 +159,6 @@ fn verify_row_id_order(path: &str) { println!("Verified __row_id__ is sequential 0..{}", expected); } - #[test] fn test_sorted_merge_real_files() { let Some(input_dir) = input_dir() else { @@ -174,8 +185,16 @@ fn test_sorted_merge_real_files() { let reverse = vec![false]; let nulls_first = vec![false]; - merge_sorted(&files, &output_str, "test-index", &sort_cols, &reverse, &nulls_first, 0) - .unwrap(); + merge_sorted( + &files, + &output_str, + "test-index", + &sort_cols, + &reverse, + &nulls_first, + 0, + ) + .unwrap(); assert!(output.exists(), "Output file was not created"); let actual_rows = count_rows(&output_str); @@ -198,17 +217,24 @@ fn test_sorted_merge_real_files() { for batch in reader { let batch = batch.unwrap(); - let col = batch.column(col_idx).as_any() + let col = batch + .column(col_idx) + .as_any() .downcast_ref::>() .unwrap(); for i in 0..col.len() { - if col.is_null(i) { continue; } + if col.is_null(i) { + continue; + } let val = col.value(i); if let Some(p) = prev { if val < p { out_of_order += 1; if out_of_order <= 5 { - eprintln!("Out of order at row {}: prev={}, cur={}", rows_checked, p, val); + eprintln!( + "Out of order at row {}: prev={}, cur={}", + rows_checked, p, val + ); } } } @@ -217,8 +243,15 @@ fn test_sorted_merge_real_files() { } } - println!("Verified EventDate sort order across {} non-null rows", rows_checked); - assert_eq!(out_of_order, 0, "Found {} out-of-order rows in EventDate", out_of_order); + println!( + "Verified EventDate sort order across {} non-null rows", + rows_checked + ); + assert_eq!( + out_of_order, 0, + "Found {} out-of-order rows in EventDate", + out_of_order + ); } // ─── TIER 2 yield-to-heap tests ───────────────────────────────────────────── @@ -231,9 +264,7 @@ fn test_sorted_merge_real_files() { /// current position, so A must yield to the heap. #[test] fn test_tier2_yield_after_batch_boundary() { - let schema = Arc::new(Schema::new(vec![ - Field::new("v", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); // File A: [1, 2, 3, 10, 11, 12] with batch_size=3 → cursor batches [1,2,3] then [10,11,12] // File B: [5, 6, 7] @@ -247,11 +278,13 @@ fn test_tier2_yield_after_batch_boundary() { let batch_a = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![1, 2, 3, 10, 11, 12]))], - ).unwrap(); + ) + .unwrap(); let batch_b = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![5, 6, 7]))], - ).unwrap(); + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -259,11 +292,21 @@ fn test_tier2_yield_after_batch_boundary() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["v".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_all_int64(&output, "v"); assert_eq!(vals, vec![1, 2, 3, 5, 6, 7, 10, 11, 12]); @@ -272,9 +315,7 @@ fn test_tier2_yield_after_batch_boundary() { /// Three files with interleaved batch boundaries to force multiple yield events. #[test] fn test_tier2_yield_multiple_cursors() { - let schema = Arc::new(Schema::new(vec![ - Field::new("v", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); // File A: [1, 2, 20, 21] with batch_size=2 → cursor batches [1,2] and [20,21] // File B: [3, 4, 30, 31] with batch_size=2 → cursor batches [3,4] and [30,31] @@ -287,15 +328,18 @@ fn test_tier2_yield_multiple_cursors() { let batch_a = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![1, 2, 20, 21]))], - ).unwrap(); + ) + .unwrap(); let batch_b = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![3, 4, 30, 31]))], - ).unwrap(); + ) + .unwrap(); let batch_c = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![10, 11, 12]))], - ).unwrap(); + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -305,11 +349,21 @@ fn test_tier2_yield_multiple_cursors() { write_parquet(&file_b, &batch_b); write_parquet(&file_c, &batch_c); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b, file_c], &output, index, - &["v".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b, file_c], + &output, + index, + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_all_int64(&output, "v"); assert_eq!(vals, vec![1, 2, 3, 4, 10, 11, 12, 20, 21, 30, 31]); @@ -318,9 +372,7 @@ fn test_tier2_yield_multiple_cursors() { /// Descending sort with yield-to-heap after batch boundary. #[test] fn test_tier2_yield_descending() { - let schema = Arc::new(Schema::new(vec![ - Field::new("v", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); // File A: [12, 11, 10, 3, 2, 1] with batch_size=3 → cursor batches [12,11,10] and [3,2,1] // File B: [7, 6, 5] @@ -334,11 +386,13 @@ fn test_tier2_yield_descending() { let batch_a = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![12, 11, 10, 3, 2, 1]))], - ).unwrap(); + ) + .unwrap(); let batch_b = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![7, 6, 5]))], - ).unwrap(); + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -346,11 +400,21 @@ fn test_tier2_yield_descending() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["v".into()], &[true], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["v".into()], + &[true], + &[false], + 0, + ) + .unwrap(); let vals = read_all_int64(&output, "v"); assert_eq!(vals, vec![12, 11, 10, 7, 6, 5, 3, 2, 1]); @@ -359,9 +423,7 @@ fn test_tier2_yield_descending() { /// Edge case: new batch starts exactly equal to heap top (should NOT yield). #[test] fn test_tier2_no_yield_when_equal_to_heap_top() { - let schema = Arc::new(Schema::new(vec![ - Field::new("v", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); // File A: [1, 2, 5, 6] with batch_size=2 → cursor batches [1,2] and [5,6] // File B: [5, 7, 8] @@ -375,11 +437,13 @@ fn test_tier2_no_yield_when_equal_to_heap_top() { let batch_a = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![1, 2, 5, 6]))], - ).unwrap(); + ) + .unwrap(); let batch_b = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(vec![5, 7, 8]))], - ).unwrap(); + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -387,11 +451,21 @@ fn test_tier2_no_yield_when_equal_to_heap_top() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["v".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_all_int64(&output, "v"); assert_eq!(vals, vec![1, 2, 5, 5, 6, 7, 8]); @@ -400,9 +474,7 @@ fn test_tier2_no_yield_when_equal_to_heap_top() { /// Stress test: many small batches forcing repeated yield-to-heap transitions. #[test] fn test_tier2_yield_many_small_batches() { - let schema = Arc::new(Schema::new(vec![ - Field::new("v", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); // File A: [1,2, 11,12, 21,22, 31,32, 41,42] with batch_size=2 // File B: [5,6, 15,16, 25,26, 35,36, 45,46] with batch_size=2 @@ -418,11 +490,13 @@ fn test_tier2_yield_many_small_batches() { let batch_a = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(a_vals.clone()))], - ).unwrap(); + ) + .unwrap(); let batch_b = RecordBatch::try_new( schema.clone(), vec![Arc::new(Int64Array::from(b_vals.clone()))], - ).unwrap(); + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -430,11 +504,21 @@ fn test_tier2_yield_many_small_batches() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["v".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_all_int64(&output, "v"); let mut expected: Vec = a_vals.iter().chain(b_vals.iter()).copied().collect(); @@ -451,32 +535,38 @@ fn test_tier2_yield_many_small_batches() { // - RG boundary: last value of RG0 < first value of RG1 (ascending) // - Exact null count and null positions for nulls_first/nulls_last -const RG_MAX: i64 = 1_000_000; +const RG_MAX: i64 = 1_000_000; const ROWS_PER_FILE: i64 = 700_000; // 2 files → 1_400_000 total → RG0=1_000_000, RG1=400_000 /// Returns (row_group_sizes, per_rg_first_value, per_rg_last_value) for a nullable Int64 column. fn inspect_row_groups(path: &str, col: &str) -> (Vec, Vec>, Vec>) { let reader = SerializedFileReader::new(File::open(path).unwrap()).unwrap(); - let meta = reader.metadata(); - let n_rg = meta.num_row_groups(); + let meta = reader.metadata(); + let n_rg = meta.num_row_groups(); let sizes: Vec = (0..n_rg).map(|i| meta.row_group(i).num_rows()).collect(); // Read all values in order, then slice per RG - let file = File::open(path).unwrap(); + let file = File::open(path).unwrap(); let builder = ParquetRecordBatchReaderBuilder::try_new(file).unwrap(); - let rdr = builder.build().unwrap(); + let rdr = builder.build().unwrap(); let mut all: Vec> = Vec::new(); for batch in rdr { let batch = batch.unwrap(); - let idx = batch.schema().index_of(col).unwrap(); - let arr = batch.column(idx).as_primitive::(); + let idx = batch.schema().index_of(col).unwrap(); + let arr = batch + .column(idx) + .as_primitive::(); for i in 0..arr.len() { - all.push(if arr.is_null(i) { None } else { Some(arr.value(i)) }); + all.push(if arr.is_null(i) { + None + } else { + Some(arr.value(i)) + }); } } let mut firsts = Vec::new(); - let mut lasts = Vec::new(); + let mut lasts = Vec::new(); let mut offset = 0usize; for &sz in &sizes { let end = offset + sz as usize; @@ -490,14 +580,23 @@ fn inspect_row_groups(path: &str, col: &str) -> (Vec, Vec>, Vec /// Read every value of a nullable Int64 column. fn read_col_i64(path: &str, col: &str) -> Vec> { let file = File::open(path).unwrap(); - let rdr = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let rdr = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut vals = Vec::new(); for batch in rdr { let batch = batch.unwrap(); - let idx = batch.schema().index_of(col).unwrap(); - let arr = batch.column(idx).as_primitive::(); + let idx = batch.schema().index_of(col).unwrap(); + let arr = batch + .column(idx) + .as_primitive::(); for i in 0..arr.len() { - vals.push(if arr.is_null(i) { None } else { Some(arr.value(i)) }); + vals.push(if arr.is_null(i) { + None + } else { + Some(arr.value(i)) + }); } } vals @@ -514,15 +613,29 @@ fn test_default_settings_ascending_nulls_last() { let a_vals: Vec = (0..ROWS_PER_FILE).map(|i| i * 2).collect(); let b_vals: Vec = (0..ROWS_PER_FILE).map(|i| i * 2 + 1).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b], &output, "test_default_asc_nulls_last", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a, file_b], + &output, + "test_default_asc_nulls_last", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); // ── Row group structure ────────────────────────────────────────────── // With default batch_size=100_000 which divides evenly into RG_MAX=1_000_000, @@ -530,11 +643,14 @@ fn test_default_settings_ascending_nulls_last() { // overshoot (see test_rg_size_overshoots_when_batch_straddles_threshold). let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); assert_eq!(rg_sizes.len(), 2, "expected exactly 2 row groups"); - assert_eq!(rg_sizes[0], RG_MAX, "RG0 size: exact because batch_size=100_000 divides RG_MAX"); + assert_eq!( + rg_sizes[0], RG_MAX, + "RG0 size: exact because batch_size=100_000 divides RG_MAX" + ); assert_eq!(rg_sizes[1], ROWS_PER_FILE * 2 - RG_MAX, "RG1 size"); // RG boundary: last of RG0 must be strictly less than first of RG1 - assert_eq!(rg_lasts[0], Some(RG_MAX - 1), "RG0 last value"); - assert_eq!(rg_firsts[1], Some(RG_MAX), "RG1 first value"); + assert_eq!(rg_lasts[0], Some(RG_MAX - 1), "RG0 last value"); + assert_eq!(rg_firsts[1], Some(RG_MAX), "RG1 first value"); // ── Exact value check ──────────────────────────────────────────────── let vals = read_col_i64(&output, "v"); @@ -552,19 +668,33 @@ fn test_default_settings_descending_nulls_last() { // RG0 last value = 1_399_999 - (RG_MAX-1) = 400_000 // RG0 first value = 1_399_999 let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); - let total = ROWS_PER_FILE * 2; + let total = ROWS_PER_FILE * 2; let a_vals: Vec = (0..ROWS_PER_FILE).rev().map(|i| i * 2).collect(); let b_vals: Vec = (0..ROWS_PER_FILE).rev().map(|i| i * 2 + 1).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b], &output, "test_default_desc_nulls_last", - &["v".into()], &[true], &[false], 0).unwrap(); + merge_sorted( + &[file_a, file_b], + &output, + "test_default_desc_nulls_last", + &["v".into()], + &[true], + &[false], + 0, + ) + .unwrap(); // ── Row group structure ────────────────────────────────────────────── let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); @@ -572,10 +702,10 @@ fn test_default_settings_descending_nulls_last() { assert_eq!(rg_sizes[0], RG_MAX); assert_eq!(rg_sizes[1], total - RG_MAX); // Descending: RG0 starts at max, ends at total-RG_MAX; RG1 starts one below that - assert_eq!(rg_firsts[0], Some(total - 1), "RG0 first value"); - assert_eq!(rg_lasts[0], Some(total - RG_MAX), "RG0 last value"); + assert_eq!(rg_firsts[0], Some(total - 1), "RG0 first value"); + assert_eq!(rg_lasts[0], Some(total - RG_MAX), "RG0 last value"); assert_eq!(rg_firsts[1], Some(total - RG_MAX - 1), "RG1 first value"); - assert_eq!(rg_lasts[1], Some(0), "RG1 last value"); + assert_eq!(rg_lasts[1], Some(0), "RG1 last value"); // ── Exact value check ──────────────────────────────────────────────── let vals = read_col_i64(&output, "v"); @@ -599,27 +729,43 @@ fn test_default_settings_ascending_nulls_first() { // RG0 = 1_000_000 rows: all 700_000 nulls + first 300_000 non-nulls (0..299_999) // RG1 = 400_000 rows: remaining non-nulls (300_000..699_999) let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, true)])); - let half = ROWS_PER_FILE / 2; // 350_000 - let total = ROWS_PER_FILE * 2; // 1_400_000 - let total_nulls = half * 2; // 700_000 - let total_nonnulls = half * 2; // 700_000 (values 0..699_999) + let half = ROWS_PER_FILE / 2; // 350_000 + let total = ROWS_PER_FILE * 2; // 1_400_000 + let total_nulls = half * 2; // 700_000 + let total_nonnulls = half * 2; // 700_000 (values 0..699_999) - let a_vals: Vec> = (0..half).map(|_| None) + let a_vals: Vec> = (0..half) + .map(|_| None) .chain((0..half).map(|i| Some(i * 2))) .collect(); - let b_vals: Vec> = (0..half).map(|_| None) + let b_vals: Vec> = (0..half) + .map(|_| None) .chain((0..half).map(|i| Some(i * 2 + 1))) .collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b], &output, "test_default_asc_nulls_first", - &["v".into()], &[false], &[true], 0).unwrap(); + merge_sorted( + &[file_a, file_b], + &output, + "test_default_asc_nulls_first", + &["v".into()], + &[false], + &[true], + 0, + ) + .unwrap(); // ── Row group structure ────────────────────────────────────────────── let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); @@ -632,7 +778,7 @@ fn test_default_settings_ascending_nulls_first() { assert_eq!(rg_lasts[0], Some(rg0_last_nonnull), "RG0 last value"); // RG1: non-nulls (rg0_last_nonnull+1)..total_nonnulls-1 assert_eq!(rg_firsts[1], Some(rg0_last_nonnull + 1), "RG1 first value"); - assert_eq!(rg_lasts[1], Some(total_nonnulls - 1), "RG1 last value"); + assert_eq!(rg_lasts[1], Some(total_nonnulls - 1), "RG1 last value"); // ── Exact value check ──────────────────────────────────────────────── let vals = read_col_i64(&output, "v"); @@ -643,8 +789,12 @@ fn test_default_settings_ascending_nulls_first() { } // Remaining rows must be exactly 0, 1, 2, ..., total_nonnulls-1 for i in 0..total_nonnulls as usize { - assert_eq!(vals[total_nulls as usize + i], Some(i as i64), - "wrong non-null value at row {}", total_nulls as usize + i); + assert_eq!( + vals[total_nulls as usize + i], + Some(i as i64), + "wrong non-null value at row {}", + total_nulls as usize + i + ); } } @@ -660,22 +810,33 @@ fn test_single_large_file_passthrough() { let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); let vals: Vec = (0..n).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a], &output, "test_single_large_file", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a], + &output, + "test_single_large_file", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); assert_eq!(rg_sizes.len(), 2); assert_eq!(rg_sizes[0], RG_MAX); assert_eq!(rg_sizes[1], n - RG_MAX); assert_eq!(rg_firsts[0], Some(0)); - assert_eq!(rg_lasts[0], Some(RG_MAX - 1)); + assert_eq!(rg_lasts[0], Some(RG_MAX - 1)); assert_eq!(rg_firsts[1], Some(RG_MAX)); - assert_eq!(rg_lasts[1], Some(n - 1)); + assert_eq!(rg_lasts[1], Some(n - 1)); let out_vals = read_col_i64(&output, "v"); assert_eq!(out_vals.len() as i64, n); @@ -693,29 +854,43 @@ fn test_skewed_file_sizes_large_small() { // File B: odds 1, 3, 5, ..., 399_999 (200_000 values, exhausts early) // Merged: 0,1,2,3,...,399_999, 400_000,400_002,...,2_399_998 let large: i64 = 1_200_000; - let small: i64 = 200_000; + let small: i64 = 200_000; let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); let a_vals: Vec = (0..large).map(|i| i * 2).collect(); let b_vals: Vec = (0..small).map(|i| i * 2 + 1).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals))]).unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b], &output, "test_skewed_large_small", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a, file_b], + &output, + "test_skewed_large_small", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let total = large + small; let out_vals = read_col_i64(&output, "v"); assert_eq!(out_vals.len() as i64, total); // Build expected: interleaved evens/odds up to 399_999, then remaining evens - let mut expected: Vec = (0..small).map(|i| i * 2).collect(); // evens 0..399_998 - let odds: Vec = (0..small).map(|i| i * 2 + 1).collect(); // odds 1..399_999 + let mut expected: Vec = (0..small).map(|i| i * 2).collect(); // evens 0..399_998 + let odds: Vec = (0..small).map(|i| i * 2 + 1).collect(); // odds 1..399_999 expected.extend(odds); expected.sort(); // After interleaved section: remaining evens from 400_000 to 2_399_998 @@ -736,7 +911,7 @@ fn test_three_files_middle_exhausts_first() { // Merged: 0,1,2,3,4,5,...,29_998,29_999(missing from B),30_000,... // After B exhausts, A and C continue interleaving. let a_count: i64 = 100_000; - let b_count: i64 = 10_000; + let b_count: i64 = 10_000; let c_count: i64 = 100_000; let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); @@ -744,23 +919,57 @@ fn test_three_files_middle_exhausts_first() { let b_vals: Vec = (0..b_count).map(|i| i * 3 + 1).collect(); let c_vals: Vec = (0..c_count).map(|i| i * 3 + 2).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); let file_c = tmp.path().join("c.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals.clone()))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals.clone()))]).unwrap()); - write_parquet(&file_c, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(c_vals.clone()))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(a_vals.clone()))], + ) + .unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(b_vals.clone()))], + ) + .unwrap(), + ); + write_parquet( + &file_c, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(c_vals.clone()))], + ) + .unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b, file_c], &output, "test_three_files_middle_exhausts", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a, file_b, file_c], + &output, + "test_three_files_middle_exhausts", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let total = a_count + b_count + c_count; let out_vals = read_col_i64(&output, "v"); assert_eq!(out_vals.len() as i64, total); - let mut expected: Vec = a_vals.iter().chain(b_vals.iter()).chain(c_vals.iter()).copied().collect(); + let mut expected: Vec = a_vals + .iter() + .chain(b_vals.iter()) + .chain(c_vals.iter()) + .copied() + .collect(); expected.sort(); for (i, (got, exp)) in out_vals.iter().zip(expected.iter()).enumerate() { assert_eq!(*got, Some(*exp), "wrong value at row {}", i); @@ -777,16 +986,37 @@ fn test_all_duplicate_sort_keys_large() { let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); let vals: Vec = vec![42i64; n as usize]; - let tmp = tempdir().unwrap(); - let files: Vec = (0..3).map(|i| { - let p = tmp.path().join(format!("{}.parquet", i)).to_string_lossy().to_string(); - write_parquet(&p, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vals.clone()))]).unwrap()); - p - }).collect(); + let tmp = tempdir().unwrap(); + let files: Vec = (0..3) + .map(|i| { + let p = tmp + .path() + .join(format!("{}.parquet", i)) + .to_string_lossy() + .to_string(); + write_parquet( + &p, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vals.clone()))], + ) + .unwrap(), + ); + p + }) + .collect(); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test_all_dupes_large", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &files, + &output, + "test_all_dupes_large", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let total = n * 3; let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); @@ -814,15 +1044,37 @@ fn test_non_multiple_of_batch_size() { let a_vals: Vec = (0..a_count).map(|i| i * 2).collect(); let b_vals: Vec = (0..b_count).map(|i| i * 2 + 1).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); let file_b = tmp.path().join("b.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(a_vals.clone()))]).unwrap()); - write_parquet(&file_b, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(b_vals.clone()))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(a_vals.clone()))], + ) + .unwrap(), + ); + write_parquet( + &file_b, + &RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(b_vals.clone()))], + ) + .unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a, file_b], &output, "test_non_multiple_batch", - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a, file_b], + &output, + "test_non_multiple_batch", + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let total = a_count + b_count; let out_vals = read_col_i64(&output, "v"); @@ -849,10 +1101,13 @@ fn test_rg_size_overshoots_when_batch_straddles_threshold() { // Use a batch_size that doesn't divide evenly into RG_MAX let batch_size: usize = 100_001; let index = "test_rg_overshoot"; - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - merge_batch_size: Some(batch_size), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + merge_batch_size: Some(batch_size), + ..Default::default() + }, + ); // One file with 2_000_002 rows (20 full batches of 100_001) // RG0 flushes after 10 batches = 1_000_010 rows (overshoots by 10) @@ -862,30 +1117,47 @@ fn test_rg_size_overshoots_when_batch_straddles_threshold() { let schema = Arc::new(Schema::new(vec![Field::new("v", DataType::Int64, false)])); let vals: Vec = (0..n).collect(); - let tmp = tempdir().unwrap(); + let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); - write_parquet(&file_a, &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vals))]).unwrap()); + write_parquet( + &file_a, + &RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vals))]).unwrap(), + ); let output = tmp.path().join("out.parquet").to_string_lossy().to_string(); - merge_sorted(&[file_a], &output, index, - &["v".into()], &[false], &[false], 0).unwrap(); + merge_sorted( + &[file_a], + &output, + index, + &["v".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let (rg_sizes, rg_firsts, rg_lasts) = inspect_row_groups(&output, "v"); assert_eq!(rg_sizes.len(), 2); // Each RG should be exactly 10 * batch_size = 1_000_010 (overshoots RG_MAX by 10) let expected_rg_size = (batch_size * 10) as i64; // 1_000_010 - assert_eq!(rg_sizes[0], expected_rg_size, + assert_eq!( + rg_sizes[0], + expected_rg_size, "RG0 size should be {} (overshoots RG_MAX={} by {}), got {}.", - expected_rg_size, RG_MAX, expected_rg_size - RG_MAX, rg_sizes[0]); + expected_rg_size, + RG_MAX, + expected_rg_size - RG_MAX, + rg_sizes[0] + ); assert_eq!(rg_sizes[1], expected_rg_size, "RG1 size"); assert_eq!(rg_sizes.iter().sum::(), n); // Exact boundary values assert_eq!(rg_firsts[0], Some(0)); - assert_eq!(rg_lasts[0], Some(expected_rg_size - 1)); + assert_eq!(rg_lasts[0], Some(expected_rg_size - 1)); assert_eq!(rg_firsts[1], Some(expected_rg_size)); - assert_eq!(rg_lasts[1], Some(n - 1)); + assert_eq!(rg_lasts[1], Some(n - 1)); // Exact value check let out_vals = read_col_i64(&output, "v"); @@ -895,29 +1167,38 @@ fn test_rg_size_overshoots_when_batch_straddles_threshold() { } } - // ═══════════════════════════════════════════════════════════════════════════════ // Deferred data loading tests // ═══════════════════════════════════════════════════════════════════════════════ /// Helper: register settings with a specific deferred threshold. fn register_deferred_settings(index_name: &str, batch_size: usize, deferred_threshold: usize) { - SETTINGS_STORE.insert(index_name.to_string(), NativeSettings { - merge_batch_size: Some(batch_size), - merge_deferred_column_threshold: Some(deferred_threshold), - ..Default::default() - }); + SETTINGS_STORE.insert( + index_name.to_string(), + NativeSettings { + merge_batch_size: Some(batch_size), + merge_deferred_column_threshold: Some(deferred_threshold), + ..Default::default() + }, + ); } /// Helper: read all String values from a column. fn read_all_strings(path: &str, col: &str) -> Vec { let file = File::open(path).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of(col).unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { vals.push(arr.value(i).to_string()); } @@ -939,18 +1220,26 @@ fn test_deferred_wide_schema_correctness() { let index = "test_deferred_wide_schema_correctness"; register_deferred_settings(index, 3, 0); // threshold=0 → always deferred - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 3, 5])), - Arc::new(StringArray::from(vec!["a1", "a3", "a5"])), - Arc::new(StringArray::from(vec!["b1", "b3", "b5"])), - Arc::new(StringArray::from(vec!["c1", "c3", "c5"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 4, 6])), - Arc::new(StringArray::from(vec!["a2", "a4", "a6"])), - Arc::new(StringArray::from(vec!["b2", "b4", "b6"])), - Arc::new(StringArray::from(vec!["c2", "c4", "c6"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 3, 5])), + Arc::new(StringArray::from(vec!["a1", "a3", "a5"])), + Arc::new(StringArray::from(vec!["b1", "b3", "b5"])), + Arc::new(StringArray::from(vec!["c1", "c3", "c5"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 4, 6])), + Arc::new(StringArray::from(vec!["a2", "a4", "a6"])), + Arc::new(StringArray::from(vec!["b2", "b4", "b6"])), + Arc::new(StringArray::from(vec!["c2", "c4", "c6"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -958,11 +1247,21 @@ fn test_deferred_wide_schema_correctness() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6]); @@ -991,18 +1290,26 @@ fn test_eager_forced_by_high_threshold() { let index = "test_eager_forced_by_high_threshold"; register_deferred_settings(index, 3, 9999); // threshold=9999 → always eager - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 3, 5])), - Arc::new(StringArray::from(vec!["a1", "a3", "a5"])), - Arc::new(StringArray::from(vec!["b1", "b3", "b5"])), - Arc::new(StringArray::from(vec!["c1", "c3", "c5"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 4, 6])), - Arc::new(StringArray::from(vec!["a2", "a4", "a6"])), - Arc::new(StringArray::from(vec!["b2", "b4", "b6"])), - Arc::new(StringArray::from(vec!["c2", "c4", "c6"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 3, 5])), + Arc::new(StringArray::from(vec!["a1", "a3", "a5"])), + Arc::new(StringArray::from(vec!["b1", "b3", "b5"])), + Arc::new(StringArray::from(vec!["c1", "c3", "c5"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 4, 6])), + Arc::new(StringArray::from(vec!["a2", "a4", "a6"])), + Arc::new(StringArray::from(vec!["b2", "b4", "b6"])), + Arc::new(StringArray::from(vec!["c2", "c4", "c6"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1010,11 +1317,21 @@ fn test_eager_forced_by_high_threshold() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6]); @@ -1038,14 +1355,22 @@ fn test_deferred_multi_batch_sync() { // File A: [1,2,5,6] → batches [1,2] and [5,6] // File B: [3,4,7,8] → batches [3,4] and [7,8] // Expected: 1,2,3,4,5,6,7,8 - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 2, 5, 6])), - Arc::new(StringArray::from(vec!["p1", "p2", "p5", "p6"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![3, 4, 7, 8])), - Arc::new(StringArray::from(vec!["p3", "p4", "p7", "p8"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 2, 5, 6])), + Arc::new(StringArray::from(vec!["p1", "p2", "p5", "p6"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![3, 4, 7, 8])), + Arc::new(StringArray::from(vec!["p3", "p4", "p7", "p8"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1053,11 +1378,21 @@ fn test_deferred_multi_batch_sync() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6, 7, 8]); @@ -1081,14 +1416,22 @@ fn test_deferred_tier3_interleaved() { // File A: [1, 3, 5, 7] — single batch // File B: [2, 4, 6, 8] — single batch // Fully interleaved → TIER 3 binary search on every pop - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 3, 5, 7])), - Arc::new(StringArray::from(vec!["A1", "A3", "A5", "A7"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 4, 6, 8])), - Arc::new(StringArray::from(vec!["B2", "B4", "B6", "B8"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 3, 5, 7])), + Arc::new(StringArray::from(vec!["A1", "A3", "A5", "A7"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 4, 6, 8])), + Arc::new(StringArray::from(vec!["B2", "B4", "B6", "B8"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1096,11 +1439,21 @@ fn test_deferred_tier3_interleaved() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6, 7, 8]); @@ -1120,20 +1473,28 @@ fn test_deferred_vs_eager_identical_output() { Field::new("n1", DataType::Int64, false), ])); - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![10, 30, 50, 70, 90])), - Arc::new(StringArray::from(vec!["x", "x", "x", "x", "x"])), - Arc::new(StringArray::from(vec!["y", "y", "y", "y", "y"])), - Arc::new(StringArray::from(vec!["z", "z", "z", "z", "z"])), - Arc::new(Int64Array::from(vec![100, 300, 500, 700, 900])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![20, 40, 60, 80, 100])), - Arc::new(StringArray::from(vec!["a", "a", "a", "a", "a"])), - Arc::new(StringArray::from(vec!["b", "b", "b", "b", "b"])), - Arc::new(StringArray::from(vec!["c", "c", "c", "c", "c"])), - Arc::new(Int64Array::from(vec![200, 400, 600, 800, 1000])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![10, 30, 50, 70, 90])), + Arc::new(StringArray::from(vec!["x", "x", "x", "x", "x"])), + Arc::new(StringArray::from(vec!["y", "y", "y", "y", "y"])), + Arc::new(StringArray::from(vec!["z", "z", "z", "z", "z"])), + Arc::new(Int64Array::from(vec![100, 300, 500, 700, 900])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![20, 40, 60, 80, 100])), + Arc::new(StringArray::from(vec!["a", "a", "a", "a", "a"])), + Arc::new(StringArray::from(vec!["b", "b", "b", "b", "b"])), + Arc::new(StringArray::from(vec!["c", "c", "c", "c", "c"])), + Arc::new(Int64Array::from(vec![200, 400, 600, 800, 1000])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1144,20 +1505,40 @@ fn test_deferred_vs_eager_identical_output() { // Run with deferred (threshold=0) let index_deferred = "test_deferred_vs_eager_deferred"; register_deferred_settings(index_deferred, 3, 0); - let output_deferred = tmp.path().join("merged_deferred.parquet").to_string_lossy().to_string(); + let output_deferred = tmp + .path() + .join("merged_deferred.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a.clone(), file_b.clone()], &output_deferred, index_deferred, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a.clone(), file_b.clone()], + &output_deferred, + index_deferred, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); // Run with eager (threshold=9999) let index_eager = "test_deferred_vs_eager_eager"; register_deferred_settings(index_eager, 3, 9999); - let output_eager = tmp.path().join("merged_eager.parquet").to_string_lossy().to_string(); + let output_eager = tmp + .path() + .join("merged_eager.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output_eager, index_eager, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output_eager, + index_eager, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); // Compare outputs — must be identical let ts_d = read_all_int64(&output_deferred, "ts"); @@ -1192,14 +1573,22 @@ fn test_deferred_tier1_single_cursor_drain() { // File A: [1, 2] — exhausts quickly // File B: [3, 4, 5, 6, 7, 8] — becomes the sole cursor after A exhausts // TIER 1 should drain B entirely without heap operations - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 2])), - Arc::new(StringArray::from(vec!["first", "second"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![3, 4, 5, 6, 7, 8])), - Arc::new(StringArray::from(vec!["t3", "t4", "t5", "t6", "t7", "t8"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 2])), + Arc::new(StringArray::from(vec!["first", "second"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![3, 4, 5, 6, 7, 8])), + Arc::new(StringArray::from(vec!["t3", "t4", "t5", "t6", "t7", "t8"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1207,17 +1596,30 @@ fn test_deferred_tier1_single_cursor_drain() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6, 7, 8]); let msg_vals = read_all_strings(&output, "msg"); - assert_eq!(msg_vals, vec!["first", "second", "t3", "t4", "t5", "t6", "t7", "t8"]); + assert_eq!( + msg_vals, + vec!["first", "second", "t3", "t4", "t5", "t6", "t7", "t8"] + ); } /// TIER 1 deferred with multiple batches: the sole remaining cursor spans @@ -1235,14 +1637,22 @@ fn test_deferred_tier1_multi_batch_drain() { // File A: [1] — exhausts immediately // File B: [2, 3, 4, 5, 6, 7] — 3 batches of 2 rows each, all drained by TIER 1 - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1])), - Arc::new(StringArray::from(vec!["a"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 3, 4, 5, 6, 7])), - Arc::new(StringArray::from(vec!["b2", "b3", "b4", "b5", "b6", "b7"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1])), + Arc::new(StringArray::from(vec!["a"])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 3, 4, 5, 6, 7])), + Arc::new(StringArray::from(vec!["b2", "b3", "b4", "b5", "b6", "b7"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1250,11 +1660,21 @@ fn test_deferred_tier1_multi_batch_drain() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6, 7]); @@ -1278,14 +1698,24 @@ fn test_deferred_tier2_full_batch_emit() { // File A: [1, 2, 3, 10, 11, 12] → batches [1,2,3] and [10,11,12] // File B: [5, 6, 7] // Batch [1,2,3] from A fits entirely before heap top (B=5) → TIER 2 emits all 3 - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 2, 3, 10, 11, 12])), - Arc::new(StringArray::from(vec!["A1", "A2", "A3", "A10", "A11", "A12"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![5, 6, 7])), - Arc::new(StringArray::from(vec!["B5", "B6", "B7"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 2, 3, 10, 11, 12])), + Arc::new(StringArray::from(vec![ + "A1", "A2", "A3", "A10", "A11", "A12", + ])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![5, 6, 7])), + Arc::new(StringArray::from(vec!["B5", "B6", "B7"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1293,17 +1723,30 @@ fn test_deferred_tier2_full_batch_emit() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 5, 6, 7, 10, 11, 12]); let tag_vals = read_all_strings(&output, "tag"); - assert_eq!(tag_vals, vec!["A1", "A2", "A3", "B5", "B6", "B7", "A10", "A11", "A12"]); + assert_eq!( + tag_vals, + vec!["A1", "A2", "A3", "B5", "B6", "B7", "A10", "A11", "A12"] + ); } /// TIER 2 deferred with descending sort — verifies deferred works with reverse order. @@ -1319,14 +1762,24 @@ fn test_deferred_tier2_descending() { // File A: [12, 11, 10, 3, 2, 1] descending → batches [12,11,10] and [3,2,1] // File B: [7, 6, 5] descending - let batch_a = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![12, 11, 10, 3, 2, 1])), - Arc::new(StringArray::from(vec!["a12", "a11", "a10", "a3", "a2", "a1"])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![7, 6, 5])), - Arc::new(StringArray::from(vec!["b7", "b6", "b5"])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![12, 11, 10, 3, 2, 1])), + Arc::new(StringArray::from(vec![ + "a12", "a11", "a10", "a3", "a2", "a1", + ])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vec![7, 6, 5])), + Arc::new(StringArray::from(vec!["b7", "b6", "b5"])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1334,17 +1787,30 @@ fn test_deferred_tier2_descending() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[true], &[false], 0, // reverse=true (descending) - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[true], + &[false], + 0, // reverse=true (descending) + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![12, 11, 10, 7, 6, 5, 3, 2, 1]); let info_vals = read_all_strings(&output, "info"); - assert_eq!(info_vals, vec!["a12", "a11", "a10", "b7", "b6", "b5", "a3", "a2", "a1"]); + assert_eq!( + info_vals, + vec!["a12", "a11", "a10", "b7", "b6", "b5", "a3", "a2", "a1"] + ); } /// TIER 3 deferred with many cursors — stress test for data reader sync @@ -1363,10 +1829,14 @@ fn test_deferred_tier3_many_cursors() { // A: [1, 5, 9] B: [2, 6, 10] C: [3, 7, 11] D: [4, 8, 12] let make_batch = |vals: Vec, label: &str| { let labels: Vec<&str> = vals.iter().map(|_| label).collect(); - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vals)), - Arc::new(StringArray::from(labels)), - ]).unwrap() + RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int64Array::from(vals)), + Arc::new(StringArray::from(labels)), + ], + ) + .unwrap() }; let tmp = tempdir().unwrap(); @@ -1375,23 +1845,43 @@ fn test_deferred_tier3_many_cursors() { ("b", vec![2, 6, 10]), ("c", vec![3, 7, 11]), ("d", vec![4, 8, 12]), - ].into_iter().map(|(name, vals)| { - let path = tmp.path().join(format!("{}.parquet", name)).to_string_lossy().to_string(); + ] + .into_iter() + .map(|(name, vals)| { + let path = tmp + .path() + .join(format!("{}.parquet", name)) + .to_string_lossy() + .to_string(); write_parquet(&path, &make_batch(vals, name)); path - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &files, &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &files, + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]); let src_vals = read_all_strings(&output, "src"); - assert_eq!(src_vals, vec!["a", "b", "c", "d", "a", "b", "c", "d", "a", "b", "c", "d"]); + assert_eq!( + src_vals, + vec!["a", "b", "c", "d", "a", "b", "c", "d", "a", "b", "c", "d"] + ); } /// Merge files with different schemas in deferred mode — verifies that columns @@ -1415,18 +1905,26 @@ fn test_deferred_different_schemas() { let index = "test_deferred_different_schemas"; register_deferred_settings(index, 3, 0); - let batch_a = RecordBatch::try_new(schema_a.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 3, 5])), - Arc::new(StringArray::from(vec![Some("a1"), Some("a3"), Some("a5")])), - Arc::new(StringArray::from(vec![Some("b1"), Some("b3"), Some("b5")])), - Arc::new(StringArray::from(vec![Some("c1"), Some("c3"), Some("c5")])), - ]).unwrap(); - let batch_b = RecordBatch::try_new(schema_b.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 4, 6])), - Arc::new(StringArray::from(vec![Some("b2"), Some("b4"), Some("b6")])), - Arc::new(StringArray::from(vec![Some("d2"), Some("d4"), Some("d6")])), - Arc::new(StringArray::from(vec![Some("e2"), Some("e4"), Some("e6")])), - ]).unwrap(); + let batch_a = RecordBatch::try_new( + schema_a.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 3, 5])), + Arc::new(StringArray::from(vec![Some("a1"), Some("a3"), Some("a5")])), + Arc::new(StringArray::from(vec![Some("b1"), Some("b3"), Some("b5")])), + Arc::new(StringArray::from(vec![Some("c1"), Some("c3"), Some("c5")])), + ], + ) + .unwrap(); + let batch_b = RecordBatch::try_new( + schema_b.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 4, 6])), + Arc::new(StringArray::from(vec![Some("b2"), Some("b4"), Some("b6")])), + Arc::new(StringArray::from(vec![Some("d2"), Some("d4"), Some("d6")])), + Arc::new(StringArray::from(vec![Some("e2"), Some("e4"), Some("e6")])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_a = tmp.path().join("a.parquet").to_string_lossy().to_string(); @@ -1434,11 +1932,21 @@ fn test_deferred_different_schemas() { write_parquet(&file_a, &batch_a); write_parquet(&file_b, &batch_b); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_a, file_b], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_a, file_b], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6]); @@ -1449,12 +1957,19 @@ fn test_deferred_different_schemas() { // col_a only in file A — file B rows should be null let file = File::open(&output).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut col_a_nulls = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of("col_a").unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { col_a_nulls.push(arr.is_null(i)); } @@ -1464,12 +1979,19 @@ fn test_deferred_different_schemas() { // col_d only in file B — file A rows should be null let file = File::open(&output).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut col_d_vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of("col_d").unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { if arr.is_null(i) { col_d_vals.push("NULL".to_string()); @@ -1504,21 +2026,33 @@ fn test_deferred_three_files_different_schemas() { let index = "test_deferred_three_files_different_schemas"; register_deferred_settings(index, 4, 0); - let batch_1 = RecordBatch::try_new(schema_1.clone(), vec![ - Arc::new(Int64Array::from(vec![1, 4])), - Arc::new(StringArray::from(vec![Some("alice"), Some("dave")])), - ]).unwrap(); - let batch_2 = RecordBatch::try_new(schema_2.clone(), vec![ - Arc::new(Int64Array::from(vec![2, 5])), - Arc::new(StringArray::from(vec![Some("bob"), Some("eve")])), - Arc::new(StringArray::from(vec![Some("NYC"), Some("LA")])), - Arc::new(StringArray::from(vec![Some("x2"), Some("x5")])), - ]).unwrap(); - let batch_3 = RecordBatch::try_new(schema_3.clone(), vec![ - Arc::new(Int64Array::from(vec![3, 6])), - Arc::new(StringArray::from(vec![Some("US"), Some("UK")])), - Arc::new(StringArray::from(vec![Some("x3"), Some("x6")])), - ]).unwrap(); + let batch_1 = RecordBatch::try_new( + schema_1.clone(), + vec![ + Arc::new(Int64Array::from(vec![1, 4])), + Arc::new(StringArray::from(vec![Some("alice"), Some("dave")])), + ], + ) + .unwrap(); + let batch_2 = RecordBatch::try_new( + schema_2.clone(), + vec![ + Arc::new(Int64Array::from(vec![2, 5])), + Arc::new(StringArray::from(vec![Some("bob"), Some("eve")])), + Arc::new(StringArray::from(vec![Some("NYC"), Some("LA")])), + Arc::new(StringArray::from(vec![Some("x2"), Some("x5")])), + ], + ) + .unwrap(); + let batch_3 = RecordBatch::try_new( + schema_3.clone(), + vec![ + Arc::new(Int64Array::from(vec![3, 6])), + Arc::new(StringArray::from(vec![Some("US"), Some("UK")])), + Arc::new(StringArray::from(vec![Some("x3"), Some("x6")])), + ], + ) + .unwrap(); let tmp = tempdir().unwrap(); let file_1 = tmp.path().join("f1.parquet").to_string_lossy().to_string(); @@ -1528,56 +2062,102 @@ fn test_deferred_three_files_different_schemas() { write_parquet(&file_2, &batch_2); write_parquet(&file_3, &batch_3); - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &[file_1, file_2, file_3], &output, index, - &["ts".into()], &[false], &[false], 0, - ).unwrap(); + &[file_1, file_2, file_3], + &output, + index, + &["ts".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let ts_vals = read_all_int64(&output, "ts"); assert_eq!(ts_vals, vec![1, 2, 3, 4, 5, 6]); // "name" in files 1 and 2 only let file = File::open(&output).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut name_vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of("name").unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { - if arr.is_null(i) { name_vals.push("NULL".to_string()); } - else { name_vals.push(arr.value(i).to_string()); } + if arr.is_null(i) { + name_vals.push("NULL".to_string()); + } else { + name_vals.push(arr.value(i).to_string()); + } } } - assert_eq!(name_vals, vec!["alice", "bob", "NULL", "dave", "eve", "NULL"]); + assert_eq!( + name_vals, + vec!["alice", "bob", "NULL", "dave", "eve", "NULL"] + ); // "country" only in file 3 let file = File::open(&output).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut country_vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of("country").unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { - if arr.is_null(i) { country_vals.push("NULL".to_string()); } - else { country_vals.push(arr.value(i).to_string()); } + if arr.is_null(i) { + country_vals.push("NULL".to_string()); + } else { + country_vals.push(arr.value(i).to_string()); + } } } - assert_eq!(country_vals, vec!["NULL", "NULL", "US", "NULL", "NULL", "UK"]); + assert_eq!( + country_vals, + vec!["NULL", "NULL", "US", "NULL", "NULL", "UK"] + ); // "extra" in files 2 and 3 let file = File::open(&output).unwrap(); - let reader = ParquetRecordBatchReaderBuilder::try_new(file).unwrap().build().unwrap(); + let reader = ParquetRecordBatchReaderBuilder::try_new(file) + .unwrap() + .build() + .unwrap(); let mut extra_vals = Vec::new(); for batch in reader { let batch = batch.unwrap(); let idx = batch.schema().index_of("extra").unwrap(); - let arr = batch.column(idx).as_any().downcast_ref::().unwrap(); + let arr = batch + .column(idx) + .as_any() + .downcast_ref::() + .unwrap(); for i in 0..arr.len() { - if arr.is_null(i) { extra_vals.push("NULL".to_string()); } - else { extra_vals.push(arr.value(i).to_string()); } + if arr.is_null(i) { + extra_vals.push("NULL".to_string()); + } else { + extra_vals.push(arr.value(i).to_string()); + } } } assert_eq!(extra_vals, vec!["NULL", "x2", "x3", "NULL", "x5", "x6"]); diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/tests/sort_types_tests.rs b/sandbox/plugins/parquet-data-format/src/main/rust/tests/sort_types_tests.rs index 8163218a388f0..02832ba32f3d8 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/tests/sort_types_tests.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/tests/sort_types_tests.rs @@ -15,8 +15,8 @@ use std::sync::Arc; use arrow::array::*; use arrow::datatypes::{DataType, Field, Schema}; use opensearch_parquet_format::merge::merge_sorted; -use parquet::arrow::ArrowWriter; use parquet::arrow::arrow_reader::ParquetRecordBatchReaderBuilder; +use parquet::arrow::ArrowWriter; use tempfile::tempdir; /// Write a single RecordBatch to a new Parquet file. @@ -90,27 +90,54 @@ fn count_rows(path: &str) -> usize { #[test] fn test_merge_sort_by_int64() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int64, false)])); // File A: [1, 3, 5] File B: [2, 4, 6] File C: [0, 7, 8] let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![1, 3, 5]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![2, 4, 6]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![0, 7, 8]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![1, 3, 5]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![2, 4, 6]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![0, 7, 8]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); @@ -122,26 +149,49 @@ fn test_merge_sort_by_int64() { #[test] fn test_merge_sort_by_int64_with_nulls() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int64, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int64, true)])); // Each file pre-sorted: nulls last, then ascending let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![Some(1), Some(5), None]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![Some(2), Some(4), None]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![Some(1), Some(5), None]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![Some(2), Some(4), None]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); assert_eq!(vals, vec![Some(1), Some(2), Some(4), Some(5), None, None]); @@ -151,25 +201,48 @@ fn test_merge_sort_by_int64_with_nulls() { #[test] fn test_merge_sort_by_int32() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int32, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int32, false)])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vec![10, 30]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int32Array::from(vec![20, 40]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int32Array::from(vec![10, 30]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int32Array::from(vec![20, 40]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); @@ -180,25 +253,52 @@ fn test_merge_sort_by_int32() { #[test] fn test_merge_sort_by_float64() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Float64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "val", + DataType::Float64, + false, + )])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float64Array::from(vec![1.1, 3.3, 5.5]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float64Array::from(vec![2.2, 4.4, 6.6]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float64Array::from(vec![1.1, 3.3, 5.5]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float64Array::from(vec![2.2, 4.4, 6.6]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); @@ -209,53 +309,118 @@ fn test_merge_sort_by_float64() { #[test] fn test_merge_sort_by_float64_with_nulls() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Float64, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "val", + DataType::Float64, + true, + )])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float64Array::from(vec![None, Some(1.5), Some(4.0)]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float64Array::from(vec![None, Some(2.5), Some(3.0)]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float64Array::from(vec![ + None, + Some(1.5), + Some(4.0), + ]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float64Array::from(vec![ + None, + Some(2.5), + Some(3.0), + ]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[true], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[true], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); - assert_eq!(vals, vec![None, None, Some(1.5), Some(2.5), Some(3.0), Some(4.0)]); + assert_eq!( + vals, + vec![None, None, Some(1.5), Some(2.5), Some(3.0), Some(4.0)] + ); } // ─── Float32 ──────────────────────────────────────────────────────────────── #[test] fn test_merge_sort_by_float32() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Float32, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "val", + DataType::Float32, + false, + )])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float32Array::from(vec![1.0f32, 3.0]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float32Array::from(vec![2.0f32, 4.0]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float32Array::from(vec![1.0f32, 3.0]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float32Array::from(vec![2.0f32, 4.0]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); @@ -266,116 +431,240 @@ fn test_merge_sort_by_float32() { #[test] fn test_merge_sort_by_float32_with_nulls() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Float32, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new( + "val", + DataType::Float32, + true, + )])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float32Array::from(vec![Some(1.0f32), Some(3.0), None]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Float32Array::from(vec![Some(2.0f32), None, None]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float32Array::from(vec![ + Some(1.0f32), + Some(3.0), + None, + ]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Float32Array::from(vec![Some(2.0f32), None, None]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); - assert_eq!(vals, vec![Some(1.0), Some(2.0), Some(3.0), None, None, None]); + assert_eq!( + vals, + vec![Some(1.0), Some(2.0), Some(3.0), None, None, None] + ); } // ─── Utf8 (String / keyword) ─────────────────────────────────────────────── #[test] fn test_merge_sort_by_string() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Utf8, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Utf8, false)])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(StringArray::from(vec!["apple", "cherry", "fig"]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(StringArray::from(vec!["banana", "date", "grape"]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(StringArray::from(vec!["apple", "cherry", "fig"]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(StringArray::from(vec!["banana", "date", "grape"]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_string_col(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); - assert_eq!(vals, vec!["apple", "banana", "cherry", "date", "fig", "grape"]); + assert_eq!( + vals, + vec!["apple", "banana", "cherry", "date", "fig", "grape"] + ); } // ─── Utf8 with nulls ──────────────────────────────────────────────────────── #[test] fn test_merge_sort_by_string_with_nulls() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Utf8, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Utf8, true)])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(StringArray::from(vec![None, Some("banana"), Some("fig")])), - ]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(StringArray::from(vec![None, Some("apple"), Some("cherry")])), - ]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(StringArray::from(vec![ + None, + Some("banana"), + Some("fig"), + ]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(StringArray::from(vec![ + None, + Some("apple"), + Some("cherry"), + ]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[true], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[true], + 0, + ) + .unwrap(); let vals = read_string_col(&output, "val"); - assert_eq!(vals, vec![None, None, Some("apple".into()), Some("banana".into()), Some("cherry".into()), Some("fig".into())]); + assert_eq!( + vals, + vec![ + None, + None, + Some("apple".into()), + Some("banana".into()), + Some("cherry".into()), + Some("fig".into()) + ] + ); } // ─── Descending sort ──────────────────────────────────────────────────────── #[test] fn test_merge_sort_descending() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int64, false), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int64, false)])); // Each file sorted descending let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![8, 5, 2]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![7, 4, 1]))]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![Arc::new(Int64Array::from(vec![9, 6, 3]))]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![8, 5, 2]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![7, 4, 1]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![9, 6, 3]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[true], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[true], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); let vals: Vec = vals.into_iter().map(|v| v.unwrap()).collect(); @@ -395,39 +684,61 @@ fn test_merge_sort_multi_column_string_and_int() { // File B: (alpha,2), (beta,2), (beta,3) // Sorted by (category ASC, priority ASC) let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(StringArray::from(vec!["alpha", "alpha", "beta"])), - Arc::new(Int64Array::from(vec![1, 3, 1])), - ]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(StringArray::from(vec!["alpha", "beta", "beta"])), - Arc::new(Int64Array::from(vec![2, 2, 3])), - ]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(StringArray::from(vec!["alpha", "alpha", "beta"])), + Arc::new(Int64Array::from(vec![1, 3, 1])), + ], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(StringArray::from(vec!["alpha", "beta", "beta"])), + Arc::new(Int64Array::from(vec![2, 2, 3])), + ], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); merge_sorted( - &files, &output, "test", + &files, + &output, + "test", &["category".into(), "priority".into()], &[false, false], &[false, false], 0, - ).unwrap(); + ) + .unwrap(); let cats = read_string_col(&output, "category"); let cats: Vec = cats.into_iter().map(|v| v.unwrap()).collect(); let pris = read_primitive_col::(&output, "priority"); let pris: Vec = pris.into_iter().map(|v| v.unwrap()).collect(); - assert_eq!(cats, vec!["alpha", "alpha", "alpha", "beta", "beta", "beta"]); + assert_eq!( + cats, + vec!["alpha", "alpha", "alpha", "beta", "beta", "beta"] + ); assert_eq!(pris, vec![1, 2, 3, 1, 2, 3]); } @@ -435,31 +746,50 @@ fn test_merge_sort_multi_column_string_and_int() { #[test] fn test_merge_sort_with_nulls_first() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int64, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int64, true)])); // Each file pre-sorted with nulls first, then ascending // File A: [null, 2, 5] File B: [null, 1, 4] let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![None, Some(2), Some(5)])), - ]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![None, Some(1), Some(4)])), - ]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![None, Some(2), Some(5)]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![None, Some(1), Some(4)]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[true], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[true], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); // nulls_first=true → nulls come first, then ascending @@ -468,29 +798,48 @@ fn test_merge_sort_with_nulls_first() { #[test] fn test_merge_sort_with_nulls_last() { - let schema = Arc::new(Schema::new(vec![ - Field::new("val", DataType::Int64, true), - ])); + let schema = Arc::new(Schema::new(vec![Field::new("val", DataType::Int64, true)])); let batches = vec![ - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![Some(1), Some(3), None])), - ]).unwrap(), - RecordBatch::try_new(schema.clone(), vec![ - Arc::new(Int64Array::from(vec![Some(2), None, None])), - ]).unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![Some(1), Some(3), None]))], + ) + .unwrap(), + RecordBatch::try_new( + schema.clone(), + vec![Arc::new(Int64Array::from(vec![Some(2), None, None]))], + ) + .unwrap(), ]; let tmp = tempdir().unwrap(); - let files: Vec = batches.iter().enumerate().map(|(i, b)| { - let p = tmp.path().join(format!("input_{}.parquet", i)); - let s = p.to_string_lossy().to_string(); - write_parquet(&s, b); - s - }).collect(); - - let output = tmp.path().join("merged.parquet").to_string_lossy().to_string(); - merge_sorted(&files, &output, "test", &["val".into()], &[false], &[false], 0).unwrap(); + let files: Vec = batches + .iter() + .enumerate() + .map(|(i, b)| { + let p = tmp.path().join(format!("input_{}.parquet", i)); + let s = p.to_string_lossy().to_string(); + write_parquet(&s, b); + s + }) + .collect(); + + let output = tmp + .path() + .join("merged.parquet") + .to_string_lossy() + .to_string(); + merge_sorted( + &files, + &output, + "test", + &["val".into()], + &[false], + &[false], + 0, + ) + .unwrap(); let vals = read_primitive_col::(&output, "val"); // nulls_first=false → values ascending, then nulls diff --git a/sandbox/plugins/parquet-data-format/src/main/rust/tests/writer_integration_tests.rs b/sandbox/plugins/parquet-data-format/src/main/rust/tests/writer_integration_tests.rs index a74ccef3f66bb..cc6b41fe94df4 100644 --- a/sandbox/plugins/parquet-data-format/src/main/rust/tests/writer_integration_tests.rs +++ b/sandbox/plugins/parquet-data-format/src/main/rust/tests/writer_integration_tests.rs @@ -32,8 +32,14 @@ fn test_complete_writer_lifecycle() { assert!(file_path.metadata().unwrap().len() > 0); let read_metadata = NativeParquetWriter::get_file_metadata(filename.clone()).unwrap(); - assert_eq!(read_metadata.file_metadata().num_rows(), metadata.metadata.file_metadata().num_rows()); - assert_eq!(read_metadata.file_metadata().version(), metadata.metadata.file_metadata().version()); + assert_eq!( + read_metadata.file_metadata().num_rows(), + metadata.metadata.file_metadata().num_rows() + ); + assert_eq!( + read_metadata.file_metadata().version(), + metadata.metadata.file_metadata().version() + ); } #[test] @@ -49,7 +55,17 @@ fn test_concurrent_writer_creation() { let file_path = temp_dir_path.join(format!("concurrent_{}.parquet", i)); let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_test_ffi_schema(); - if NativeParquetWriter::create_writer(filename.clone(), "test-index".to_string(), schema_ptr, vec![], vec![], vec![], 0).is_ok() { + if NativeParquetWriter::create_writer( + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ) + .is_ok() + { success_count.fetch_add(1, Ordering::SeqCst); let _ = NativeParquetWriter::finalize_writer(filename); } @@ -126,7 +142,9 @@ fn test_concurrent_writes_different_files() { let mut schema_ptrs = vec![]; for i in 0..file_count { - let file_path = temp_dir.path().join(format!("concurrent_write_{}.parquet", i)); + let file_path = temp_dir + .path() + .join(format!("concurrent_write_{}.parquet", i)); let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_writer_and_assert_success(&filename); filenames.push(filename); @@ -139,7 +157,9 @@ fn test_concurrent_writes_different_files() { let handle = thread::spawn(move || { for _ in 0..2 { let (array_ptr, data_schema_ptr) = create_test_ffi_data().unwrap(); - if NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr).is_ok() { + if NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr) + .is_ok() + { success_count.fetch_add(1, Ordering::SeqCst); } cleanup_ffi_data(array_ptr, data_schema_ptr); @@ -172,17 +192,28 @@ fn test_concurrent_complete_writer_lifecycle() { let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_test_ffi_schema(); - if NativeParquetWriter::create_writer(filename.clone(), "test-index".to_string(), schema_ptr, vec![], vec![], vec![], 0).is_ok() { + if NativeParquetWriter::create_writer( + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ) + .is_ok() + { let (array_ptr, data_schema_ptr) = create_test_ffi_data().unwrap(); - let write_ok = NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr).is_ok(); + let write_ok = + NativeParquetWriter::write_data(filename.clone(), array_ptr, data_schema_ptr) + .is_ok(); cleanup_ffi_data(array_ptr, data_schema_ptr); if write_ok { - if let Ok(Some(metadata)) = NativeParquetWriter::finalize_writer(filename.clone()) { - if metadata.metadata.file_metadata().num_rows() == 3 - - && file_path.exists() - { + if let Ok(Some(metadata)) = + NativeParquetWriter::finalize_writer(filename.clone()) + { + if metadata.metadata.file_metadata().num_rows() == 3 && file_path.exists() { success_count.fetch_add(1, Ordering::SeqCst); } } @@ -207,9 +238,15 @@ fn test_ipc_staging_sorted_writer_integration() { let (_schema, schema_ptr) = create_test_ffi_schema(); NativeParquetWriter::create_writer( - filename.clone(), "test-index".to_string(), schema_ptr, - vec!["id".to_string()], vec![false], vec![false], 0 - ).unwrap(); + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec!["id".to_string()], + vec![false], + vec![false], + 0, + ) + .unwrap(); // Write multiple batches with out-of-order data for batch_ids in [vec![50, 30, 10], vec![40, 20, 60]] { @@ -224,7 +261,6 @@ fn test_ipc_staging_sorted_writer_integration() { let metadata = result.unwrap().unwrap(); assert_eq!(metadata.metadata.file_metadata().num_rows(), 6); - let ids = read_parquet_file_sorted_ids(&filename); assert_eq!(ids, vec![10, 20, 30, 40, 50, 60]); @@ -250,21 +286,29 @@ fn test_ipc_staging_concurrent_sorted_lifecycle() { let (_schema, schema_ptr) = create_test_ffi_schema(); if NativeParquetWriter::create_writer( - filename.clone(), "test-index".to_string(), schema_ptr, - vec!["id".to_string()], vec![false], vec![false], 0 - ).is_ok() { + filename.clone(), + "test-index".to_string(), + schema_ptr, + vec!["id".to_string()], + vec![false], + vec![false], + 0, + ) + .is_ok() + { let (ap, sp) = create_test_ffi_data_with_ids( - vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")] - ).unwrap(); + vec![30, 10, 20], + vec![Some("C"), Some("A"), Some("B")], + ) + .unwrap(); let write_ok = NativeParquetWriter::write_data(filename.clone(), ap, sp).is_ok(); cleanup_ffi_data(ap, sp); if write_ok { - if let Ok(Some(metadata)) = NativeParquetWriter::finalize_writer(filename.clone()) { - if metadata.metadata.file_metadata().num_rows() == 3 - - && file_path.exists() - { + if let Ok(Some(metadata)) = + NativeParquetWriter::finalize_writer(filename.clone()) + { + if metadata.metadata.file_metadata().num_rows() == 3 && file_path.exists() { let ids = read_parquet_file_sorted_ids(&filename); if ids == vec![10, 20, 30] { success_count.fetch_add(1, Ordering::SeqCst); @@ -301,25 +345,44 @@ fn test_ipc_and_parquet_mixed_concurrent_lifecycle() { let filename = file_path.to_string_lossy().to_string(); let (_schema, schema_ptr) = create_test_ffi_schema(); - let sort_cols = if use_sort { vec!["id".to_string()] } else { vec![] }; + let sort_cols = if use_sort { + vec!["id".to_string()] + } else { + vec![] + }; let reverse = if use_sort { vec![false] } else { vec![] }; let nulls = if use_sort { vec![false] } else { vec![] }; if NativeParquetWriter::create_writer( - filename.clone(), "test-index".to_string(), schema_ptr, - sort_cols, reverse, nulls, 0 - ).is_ok() { + filename.clone(), + "test-index".to_string(), + schema_ptr, + sort_cols, + reverse, + nulls, + 0, + ) + .is_ok() + { let (ap, sp) = create_test_ffi_data_with_ids( - vec![30, 10, 20], vec![Some("C"), Some("A"), Some("B")] - ).unwrap(); + vec![30, 10, 20], + vec![Some("C"), Some("A"), Some("B")], + ) + .unwrap(); let write_ok = NativeParquetWriter::write_data(filename.clone(), ap, sp).is_ok(); cleanup_ffi_data(ap, sp); if write_ok { - if let Ok(Some(metadata)) = NativeParquetWriter::finalize_writer(filename.clone()) { + if let Ok(Some(metadata)) = + NativeParquetWriter::finalize_writer(filename.clone()) + { if metadata.metadata.file_metadata().num_rows() == 3 && file_path.exists() { let ids = read_parquet_file_sorted_ids(&filename); - let expected = if use_sort { vec![10, 20, 30] } else { vec![30, 10, 20] }; + let expected = if use_sort { + vec![10, 20, 30] + } else { + vec![30, 10, 20] + }; if ids == expected { success_count.fetch_add(1, Ordering::SeqCst); } @@ -340,8 +403,8 @@ fn test_ipc_and_parquet_mixed_concurrent_lifecycle() { // ===== Two-tier encoding/compression settings tests ===== -use opensearch_parquet_format::native_settings::NativeSettings; use opensearch_parquet_format::field_config::FieldConfig; +use opensearch_parquet_format::native_settings::NativeSettings; use opensearch_parquet_format::SETTINGS_STORE; use parquet::basic::{Compression, Encoding}; use parquet::file::reader::{FileReader, SerializedFileReader}; @@ -380,15 +443,21 @@ fn read_column_encoding(path: &str, col_name: &str) -> Vec { fn test_index_level_field_compression_applied() { let index = "test_index_field_compression"; let mut field_configs = HashMap::new(); - field_configs.insert("id".to_string(), FieldConfig { - compression_type: Some("SNAPPY".to_string()), - ..Default::default() - }); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - field_configs: Some(field_configs), - ..Default::default() - }); + field_configs.insert( + "id".to_string(), + FieldConfig { + compression_type: Some("SNAPPY".to_string()), + ..Default::default() + }, + ); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + field_configs: Some(field_configs), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("idx_field_comp.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -398,7 +467,10 @@ fn test_index_level_field_compression_applied() { NativeParquetWriter::finalize_writer(path.clone()).unwrap(); cleanup_ffi_schema(schema_ptr); - assert!(matches!(read_column_compression(&path, "id"), Compression::SNAPPY)); + assert!(matches!( + read_column_compression(&path, "id"), + Compression::SNAPPY + )); SETTINGS_STORE.remove(index); } @@ -408,11 +480,14 @@ fn test_cluster_level_type_compression_fallback() { let index = "test_cluster_type_compression"; let mut type_compression = HashMap::new(); type_compression.insert("int32".to_string(), "SNAPPY".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - type_compression_configs: Some(type_compression), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + type_compression_configs: Some(type_compression), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("cluster_type_comp.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -423,7 +498,10 @@ fn test_cluster_level_type_compression_fallback() { cleanup_ffi_schema(schema_ptr); // "id" is Int32 → should get SNAPPY from cluster type config - assert!(matches!(read_column_compression(&path, "id"), Compression::SNAPPY)); + assert!(matches!( + read_column_compression(&path, "id"), + Compression::SNAPPY + )); SETTINGS_STORE.remove(index); } @@ -432,18 +510,24 @@ fn test_cluster_level_type_compression_fallback() { fn test_index_level_overrides_cluster_level_compression() { let index = "test_index_overrides_cluster_compression"; let mut field_configs = HashMap::new(); - field_configs.insert("id".to_string(), FieldConfig { - compression_type: Some("UNCOMPRESSED".to_string()), - ..Default::default() - }); + field_configs.insert( + "id".to_string(), + FieldConfig { + compression_type: Some("UNCOMPRESSED".to_string()), + ..Default::default() + }, + ); let mut type_compression = HashMap::new(); type_compression.insert("int32".to_string(), "SNAPPY".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - field_configs: Some(field_configs), - type_compression_configs: Some(type_compression), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + field_configs: Some(field_configs), + type_compression_configs: Some(type_compression), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("idx_overrides_cluster_comp.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -454,7 +538,10 @@ fn test_index_level_overrides_cluster_level_compression() { cleanup_ffi_schema(schema_ptr); // Index says UNCOMPRESSED for "id", cluster says SNAPPY for int32 — index wins - assert!(matches!(read_column_compression(&path, "id"), Compression::UNCOMPRESSED)); + assert!(matches!( + read_column_compression(&path, "id"), + Compression::UNCOMPRESSED + )); SETTINGS_STORE.remove(index); } @@ -464,11 +551,14 @@ fn test_cluster_level_type_encoding_fallback() { let index = "test_cluster_type_encoding"; let mut type_encoding = HashMap::new(); type_encoding.insert("int32".to_string(), "DELTA_BINARY_PACKED".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - type_encoding_configs: Some(type_encoding), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + type_encoding_configs: Some(type_encoding), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("cluster_type_enc.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -480,8 +570,11 @@ fn test_cluster_level_type_encoding_fallback() { // "id" is Int32 → should get DELTA_BINARY_PACKED from cluster type config let encodings = read_column_encoding(&path, "id"); - assert!(encodings.contains(&Encoding::DELTA_BINARY_PACKED), - "expected DELTA_BINARY_PACKED in {:?}", encodings); + assert!( + encodings.contains(&Encoding::DELTA_BINARY_PACKED), + "expected DELTA_BINARY_PACKED in {:?}", + encodings + ); SETTINGS_STORE.remove(index); } @@ -490,18 +583,24 @@ fn test_cluster_level_type_encoding_fallback() { fn test_index_level_overrides_cluster_level_encoding() { let index = "test_index_overrides_cluster_encoding"; let mut field_configs = HashMap::new(); - field_configs.insert("id".to_string(), FieldConfig { - encoding_type: Some("PLAIN".to_string()), - ..Default::default() - }); + field_configs.insert( + "id".to_string(), + FieldConfig { + encoding_type: Some("PLAIN".to_string()), + ..Default::default() + }, + ); let mut type_encoding = HashMap::new(); type_encoding.insert("int32".to_string(), "DELTA_BINARY_PACKED".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - field_configs: Some(field_configs), - type_encoding_configs: Some(type_encoding), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + field_configs: Some(field_configs), + type_encoding_configs: Some(type_encoding), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("idx_overrides_cluster_enc.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -513,8 +612,11 @@ fn test_index_level_overrides_cluster_level_encoding() { // Index says PLAIN for "id", cluster says DELTA_BINARY_PACKED for int32 — index wins let encodings = read_column_encoding(&path, "id"); - assert!(!encodings.contains(&Encoding::DELTA_BINARY_PACKED), - "DELTA_BINARY_PACKED should not be present when index-level PLAIN is set, got {:?}", encodings); + assert!( + !encodings.contains(&Encoding::DELTA_BINARY_PACKED), + "DELTA_BINARY_PACKED should not be present when index-level PLAIN is set, got {:?}", + encodings + ); SETTINGS_STORE.remove(index); } @@ -524,19 +626,25 @@ fn test_mixed_index_and_cluster_level_configs() { let index = "test_mixed_index_cluster"; let mut field_configs = HashMap::new(); // "id" (Int32) has explicit index-level compression - field_configs.insert("id".to_string(), FieldConfig { - compression_type: Some("UNCOMPRESSED".to_string()), - ..Default::default() - }); + field_configs.insert( + "id".to_string(), + FieldConfig { + compression_type: Some("UNCOMPRESSED".to_string()), + ..Default::default() + }, + ); let mut type_compression = HashMap::new(); // "utf8" type → "name" column (Utf8) gets SNAPPY from cluster level type_compression.insert("utf8".to_string(), "SNAPPY".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - field_configs: Some(field_configs), - type_compression_configs: Some(type_compression), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + field_configs: Some(field_configs), + type_compression_configs: Some(type_compression), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("mixed_idx_cluster.parquet"); let (_schema, schema_ptr) = create_writer_and_assert_success_for_index(&path, index); @@ -546,53 +654,83 @@ fn test_mixed_index_and_cluster_level_configs() { NativeParquetWriter::finalize_writer(path.clone()).unwrap(); cleanup_ffi_schema(schema_ptr); - assert!(matches!(read_column_compression(&path, "id"), Compression::UNCOMPRESSED)); - assert!(matches!(read_column_compression(&path, "name"), Compression::SNAPPY)); + assert!(matches!( + read_column_compression(&path, "id"), + Compression::UNCOMPRESSED + )); + assert!(matches!( + read_column_compression(&path, "name"), + Compression::SNAPPY + )); SETTINGS_STORE.remove(index); } /// Helper: create a writer for a specific index name (not the default "test-index"). -fn create_writer_and_assert_success_for_index(filename: &str, index: &str) -> (std::sync::Arc, i64) { +fn create_writer_and_assert_success_for_index( + filename: &str, + index: &str, +) -> (std::sync::Arc, i64) { let (schema, schema_ptr) = create_test_ffi_schema(); NativeParquetWriter::create_writer( - filename.to_string(), index.to_string(), schema_ptr, vec![], vec![], vec![], 0 - ).expect("create_writer failed"); + filename.to_string(), + index.to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ) + .expect("create_writer failed"); (schema, schema_ptr) } /// Helper: create a writer with a 3-column schema: id (Int32), name (Utf8), score (Float64). -fn create_three_col_writer(filename: &str, index: &str) -> (std::sync::Arc, i64) { - use arrow::datatypes::{Field, Schema, DataType}; +fn create_three_col_writer( + filename: &str, + index: &str, +) -> (std::sync::Arc, i64) { + use arrow::datatypes::{DataType, Field, Schema}; use arrow::ffi::FFI_ArrowSchema; let schema = std::sync::Arc::new(Schema::new(vec![ - Field::new("id", DataType::Int32, false), - Field::new("name", DataType::Utf8, true), + Field::new("id", DataType::Int32, false), + Field::new("name", DataType::Utf8, true), Field::new("score", DataType::Float64, true), ])); let ffi_schema = FFI_ArrowSchema::try_from(schema.as_ref()).unwrap(); let schema_ptr = Box::into_raw(Box::new(ffi_schema)) as i64; NativeParquetWriter::create_writer( - filename.to_string(), index.to_string(), schema_ptr, vec![], vec![], vec![], 0 - ).expect("create_writer failed"); + filename.to_string(), + index.to_string(), + schema_ptr, + vec![], + vec![], + vec![], + 0, + ) + .expect("create_writer failed"); (schema, schema_ptr) } /// Helper: write a 3-column batch (id: Int32, name: Utf8, score: Float64). fn write_three_col_data(filename: &str) { - use arrow::array::{Array, Int32Array, StringArray, Float64Array, StructArray}; - use arrow::datatypes::{Field, Schema, DataType}; - use arrow::record_batch::RecordBatch; + use arrow::array::{Array, Float64Array, Int32Array, StringArray, StructArray}; + use arrow::datatypes::{DataType, Field, Schema}; use arrow::ffi::{FFI_ArrowArray, FFI_ArrowSchema}; + use arrow::record_batch::RecordBatch; let schema = std::sync::Arc::new(Schema::new(vec![ - Field::new("id", DataType::Int32, false), - Field::new("name", DataType::Utf8, true), + Field::new("id", DataType::Int32, false), + Field::new("name", DataType::Utf8, true), Field::new("score", DataType::Float64, true), ])); - let batch = RecordBatch::try_new(schema.clone(), vec![ - std::sync::Arc::new(Int32Array::from(vec![1, 2, 3])), - std::sync::Arc::new(StringArray::from(vec!["a", "b", "c"])), - std::sync::Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])), - ]).unwrap(); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + std::sync::Arc::new(Int32Array::from(vec![1, 2, 3])), + std::sync::Arc::new(StringArray::from(vec!["a", "b", "c"])), + std::sync::Arc::new(Float64Array::from(vec![1.0, 2.0, 3.0])), + ], + ) + .unwrap(); let struct_array = StructArray::from(batch); let array_data = struct_array.into_data(); let ffi_array = FFI_ArrowArray::new(&array_data); @@ -615,19 +753,25 @@ fn write_three_col_data(filename: &str) { fn test_three_tier_compression_fallback() { let index = "test_three_tier_compression"; let mut field_configs = HashMap::new(); - field_configs.insert("id".to_string(), FieldConfig { - compression_type: Some("UNCOMPRESSED".to_string()), - ..Default::default() - }); + field_configs.insert( + "id".to_string(), + FieldConfig { + compression_type: Some("UNCOMPRESSED".to_string()), + ..Default::default() + }, + ); let mut type_compression = HashMap::new(); type_compression.insert("utf8".to_string(), "SNAPPY".to_string()); - SETTINGS_STORE.insert(index.to_string(), NativeSettings { - index_name: Some(index.to_string()), - compression_type: Some("LZ4_RAW".to_string()), - field_configs: Some(field_configs), - type_compression_configs: Some(type_compression), - ..Default::default() - }); + SETTINGS_STORE.insert( + index.to_string(), + NativeSettings { + index_name: Some(index.to_string()), + compression_type: Some("LZ4_RAW".to_string()), + field_configs: Some(field_configs), + type_compression_configs: Some(type_compression), + ..Default::default() + }, + ); let (_tmp, path) = get_temp_file_path("three_tier_comp.parquet"); let (_schema, schema_ptr) = create_three_col_writer(&path, index); @@ -636,11 +780,20 @@ fn test_three_tier_compression_fallback() { cleanup_ffi_schema(schema_ptr); // index level wins for "id" - assert!(matches!(read_column_compression(&path, "id"), Compression::UNCOMPRESSED)); + assert!(matches!( + read_column_compression(&path, "id"), + Compression::UNCOMPRESSED + )); // cluster level wins for "name" (utf8) - assert!(matches!(read_column_compression(&path, "name"), Compression::SNAPPY)); + assert!(matches!( + read_column_compression(&path, "name"), + Compression::SNAPPY + )); // global fallback for "score" (float64, no index or cluster config) - assert!(matches!(read_column_compression(&path, "score"), Compression::LZ4_RAW)); + assert!(matches!( + read_column_compression(&path, "score"), + Compression::LZ4_RAW + )); SETTINGS_STORE.remove(index); } From 8ef1cb5d12ff4ceea7b4d9e2a145651d6eccb81d Mon Sep 17 00:00:00 2001 From: Lamine <104593675+laminelam@users.noreply.github.com> Date: Tue, 7 Jul 2026 13:49:41 -0500 Subject: [PATCH 91/94] Prune search shard groups using index-level field domains before can_match (#21865) --------- Signed-off-by: Lamine Idjeraoui Co-authored-by: Lamine Idjeraoui --- .../action/search/SearchIndexPruningIT.java | 318 ++++++++++++ .../search/CanMatchPreFilterSearchPhase.java | 113 ++++- .../search/SearchIndexPruningService.java | 264 ++++++++++ .../action/search/TransportSearchAction.java | 73 ++- .../DateRangeFieldDomainEvaluator.java | 212 ++++++++ .../pruning/FieldDomainEvaluationContext.java | 42 ++ .../search/pruning/FieldDomainEvaluator.java | 36 ++ .../search/pruning/FieldDomainEvaluators.java | 66 +++ .../MandatoryQueryConstraintExtractor.java | 98 ++++ .../search/pruning/QueryConstraint.java | 19 + .../pruning/QueryConstraintExtractor.java | 28 ++ .../search/pruning/RangeQueryConstraint.java | 138 ++++++ .../pruning/SearchIndexPruningResult.java | 94 ++++ .../pruning/SearchIndexPruningSettings.java | 53 ++ .../action/search/pruning/package-info.java | 10 + .../common/settings/ClusterSettings.java | 6 +- .../ClusterStateFieldDomainProvider.java | 60 +++ .../fielddomain/DateRangeFieldDomain.java | 165 +++++++ .../DateRangeFieldDomainParser.java | 108 +++++ .../index/fielddomain/FieldDomain.java | 43 ++ .../index/fielddomain/FieldDomainParser.java | 54 +++ .../FieldDomainParserRegistry.java | 145 ++++++ .../fielddomain/FieldDomainProvider.java | 36 ++ .../fielddomain/IndexFieldDomainMetadata.java | 124 +++++ .../index/fielddomain/package-info.java | 10 + .../CanMatchPreFilterSearchPhaseTests.java | 160 +++++++ .../SearchIndexPruningServiceTests.java | 452 ++++++++++++++++++ .../search/TransportSearchActionTests.java | 4 + .../DateRangeFieldDomainEvaluatorTests.java | 250 ++++++++++ ...andatoryQueryConstraintExtractorTests.java | 124 +++++ .../FieldDomainParserRegistryTests.java | 256 ++++++++++ .../IndexFieldDomainMetadataTests.java | 379 +++++++++++++++ 32 files changed, 3928 insertions(+), 12 deletions(-) create mode 100644 server/src/internalClusterTest/java/org/opensearch/action/search/SearchIndexPruningIT.java create mode 100644 server/src/main/java/org/opensearch/action/search/SearchIndexPruningService.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluator.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluationContext.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluator.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluators.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractor.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/QueryConstraint.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/QueryConstraintExtractor.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/RangeQueryConstraint.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningResult.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningSettings.java create mode 100644 server/src/main/java/org/opensearch/action/search/pruning/package-info.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/ClusterStateFieldDomainProvider.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomain.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomainParser.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/FieldDomain.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParser.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParserRegistry.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/FieldDomainProvider.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadata.java create mode 100644 server/src/main/java/org/opensearch/index/fielddomain/package-info.java create mode 100644 server/src/test/java/org/opensearch/action/search/SearchIndexPruningServiceTests.java create mode 100644 server/src/test/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluatorTests.java create mode 100644 server/src/test/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractorTests.java create mode 100644 server/src/test/java/org/opensearch/index/fielddomain/FieldDomainParserRegistryTests.java create mode 100644 server/src/test/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadataTests.java diff --git a/server/src/internalClusterTest/java/org/opensearch/action/search/SearchIndexPruningIT.java b/server/src/internalClusterTest/java/org/opensearch/action/search/SearchIndexPruningIT.java new file mode 100644 index 0000000000000..1e7c461df3eaf --- /dev/null +++ b/server/src/internalClusterTest/java/org/opensearch/action/search/SearchIndexPruningIT.java @@ -0,0 +1,318 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search; + +import org.opensearch.action.search.pruning.SearchIndexPruningSettings; +import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.ClusterStateUpdateTask; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.cluster.metadata.Metadata; +import org.opensearch.cluster.service.ClusterService; +import org.opensearch.common.Priority; +import org.opensearch.common.settings.Settings; +import org.opensearch.common.unit.TimeValue; +import org.opensearch.common.util.concurrent.ThreadContext; +import org.opensearch.core.common.io.stream.NamedWriteableRegistry; +import org.opensearch.index.IndexModule; +import org.opensearch.index.fielddomain.DateRangeFieldDomain; +import org.opensearch.index.fielddomain.IndexFieldDomainMetadata; +import org.opensearch.index.shard.SearchOperationListener; +import org.opensearch.plugins.NetworkPlugin; +import org.opensearch.plugins.Plugin; +import org.opensearch.search.builder.PointInTimeBuilder; +import org.opensearch.search.internal.SearchContext; +import org.opensearch.search.internal.ShardSearchRequest; +import org.opensearch.search.sort.SortOrder; +import org.opensearch.tasks.Task; +import org.opensearch.test.OpenSearchIntegTestCase; +import org.opensearch.test.OpenSearchIntegTestCase.ClusterScope; +import org.opensearch.test.OpenSearchIntegTestCase.Scope; +import org.opensearch.transport.TransportChannel; +import org.opensearch.transport.TransportInterceptor; +import org.opensearch.transport.TransportRequest; +import org.opensearch.transport.TransportRequestHandler; + +import java.util.Collection; +import java.util.List; +import java.util.concurrent.CountDownLatch; +import java.util.concurrent.TimeUnit; +import java.util.concurrent.atomic.AtomicBoolean; +import java.util.concurrent.atomic.AtomicInteger; +import java.util.concurrent.atomic.AtomicReference; + +import static org.opensearch.index.query.QueryBuilders.rangeQuery; +import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertAcked; +import static org.opensearch.test.hamcrest.OpenSearchAssertions.assertHitCount; +import static org.hamcrest.Matchers.equalTo; +import static org.hamcrest.Matchers.greaterThan; + +@ClusterScope(scope = Scope.TEST, numDataNodes = 1, numClientNodes = 0, supportsDedicatedMasters = false) +public class SearchIndexPruningIT extends OpenSearchIntegTestCase { + public static class RecordOldIndexSearchPlugin extends Plugin implements NetworkPlugin { + private static final AtomicBoolean RECORD_SEARCH_EVENTS = new AtomicBoolean(); + private static final AtomicInteger OLD_INDEX_QUERY_PHASES = new AtomicInteger(); + private static final AtomicInteger OVERLAPPING_INDEX_QUERY_PHASES = new AtomicInteger(); + private static final AtomicInteger CAN_MATCH_REQUESTS = new AtomicInteger(); + private static final AtomicInteger OLD_INDEX_CAN_MATCH_REQUESTS = new AtomicInteger(); + + @Override + public void onIndexModule(IndexModule indexModule) { + indexModule.addSearchOperationListener(new SearchOperationListener() { + @Override + public void onPreQueryPhase(SearchContext searchContext) { + if (RECORD_SEARCH_EVENTS.get() == false) { + return; + } + String indexName = searchContext.indexShard().shardId().getIndex().getName(); + if ("logs-000001".equals(indexName)) { + OLD_INDEX_QUERY_PHASES.incrementAndGet(); + } else if ("logs-000002".equals(indexName) || "logs-000003".equals(indexName)) { + OVERLAPPING_INDEX_QUERY_PHASES.incrementAndGet(); + } + } + }); + } + + @Override + public List getTransportInterceptors( + NamedWriteableRegistry namedWriteableRegistry, + ThreadContext threadContext + ) { + return List.of(new TransportInterceptor() { + @Override + public TransportRequestHandler interceptHandler( + String action, + String executor, + boolean forceExecution, + TransportRequestHandler actualHandler + ) { + if (SearchTransportService.QUERY_CAN_MATCH_NAME.equals(action) == false) { + return actualHandler; + } + return new TransportRequestHandler() { + @Override + public void messageReceived(T request, TransportChannel channel, Task task) throws Exception { + recordCanMatchRequest(request); + actualHandler.messageReceived(request, channel, task); + } + }; + } + }); + } + + private static void recordCanMatchRequest(TransportRequest request) { + if (RECORD_SEARCH_EVENTS.get() && request instanceof ShardSearchRequest) { + ShardSearchRequest shardSearchRequest = (ShardSearchRequest) request; + CAN_MATCH_REQUESTS.incrementAndGet(); + if ("logs-000001".equals(shardSearchRequest.shardId().getIndexName())) { + OLD_INDEX_CAN_MATCH_REQUESTS.incrementAndGet(); + } + } + } + } + + @Override + protected Collection> nodePlugins() { + return List.of(RecordOldIndexSearchPlugin.class); + } + + @Override + public void tearDown() throws Exception { + try { + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(false); + RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.set(0); + RecordOldIndexSearchPlugin.OVERLAPPING_INDEX_QUERY_PHASES.set(0); + RecordOldIndexSearchPlugin.CAN_MATCH_REQUESTS.set(0); + RecordOldIndexSearchPlugin.OLD_INDEX_CAN_MATCH_REQUESTS.set(0); + client().admin() + .cluster() + .prepareUpdateSettings() + .setPersistentSettings(Settings.builder().putNull("search.index_pruning.*")) + .get(); + } finally { + super.tearDown(); + } + } + + public void testSearchUsesIndexFieldDomainMetadataToSkipShardGroups() throws Exception { + SearchResponse response = searchWithIndexFieldDomainMetadata(1_000); + + assertHitCount(response, 1L); + assertThat(RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.get(), equalTo(0)); + } + + public void testSearchUsesIndexFieldDomainMetadataBeforeCanMatch() throws Exception { + SearchResponse response = searchWithIndexFieldDomainMetadata(1); + + assertHitCount(response, 1L); + assertThat(RecordOldIndexSearchPlugin.OLD_INDEX_CAN_MATCH_REQUESTS.get(), equalTo(0)); + assertThat(RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.get(), equalTo(0)); + } + + public void testPointInTimeSearchDoesNotUseIndexFieldDomainMetadata() throws Exception { + enableIndexPruning(); + createLogsIndices(); + + index("logs-000001", "_doc", "1", "@timestamp", "1970-01-01T00:00:03.500Z", "message", "old"); + index("logs-000002", "_doc", "1", "@timestamp", "1970-01-01T00:00:10Z", "message", "current"); + refresh("logs-000001", "logs-000002"); + + CreatePitRequest createPitRequest = new CreatePitRequest(TimeValue.timeValueDays(1), true); + createPitRequest.setIndices(new String[] { "logs-*" }); + CreatePitResponse pitResponse = client().execute(CreatePitAction.INSTANCE, createPitRequest).actionGet(); + + try { + publishFieldDomain("logs-000001", new DateRangeFieldDomain("@timestamp", 1_000L, 2_000L, true, "test")); + publishFieldDomain("logs-000002", new DateRangeFieldDomain("@timestamp", 3_000L, 4_000L, true, "test")); + + resetSearchEventCounters(); + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(true); + SearchResponse response; + try { + response = client().prepareSearch("logs-*") + .setPreFilterShardSize(1_000) + .setPointInTime(new PointInTimeBuilder(pitResponse.getId()).setKeepAlive(TimeValue.timeValueDays(1))) + .setQuery(rangeQuery("@timestamp").gte("1970-01-01T00:00:03Z").lte("1970-01-01T00:00:04Z")) + .get(); + } finally { + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(false); + } + + assertHitCount(response, 1L); + assertThat(RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.get(), greaterThan(0)); + } finally { + client().execute(DeletePitAction.INSTANCE, new DeletePitRequest(pitResponse.getId())).actionGet(); + } + } + + public void testSearchKeepsIndicesWithDomainsPartiallyOverlappingQueryRange() throws Exception { + enableIndexPruning(); + createLogsIndices(); + + index("logs-000001", "_doc", "1", "@timestamp", "1970-01-01T00:00:01Z", "message", "old"); + index("logs-000002", "_doc", "1", "@timestamp", "1970-01-01T00:00:03.500Z", "message", "partial-left"); + index("logs-000003", "_doc", "1", "@timestamp", "1970-01-01T00:00:05Z", "message", "partial-right"); + refresh("logs-000001", "logs-000002", "logs-000003"); + + publishFieldDomain("logs-000001", new DateRangeFieldDomain("@timestamp", 1_000L, 2_000L, true, "test")); + publishFieldDomain("logs-000002", new DateRangeFieldDomain("@timestamp", 2_000L, 4_000L, true, "test")); + publishFieldDomain("logs-000003", new DateRangeFieldDomain("@timestamp", 4_000L, 6_000L, true, "test")); + + resetSearchEventCounters(); + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(true); + SearchResponse response; + try { + response = client().prepareSearch("logs-*") + .setPreFilterShardSize(1) + .setQuery(rangeQuery("@timestamp").gte("1970-01-01T00:00:03Z").lte("1970-01-01T00:00:06Z")) + .addSort("@timestamp", SortOrder.ASC) + .get(); + } finally { + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(false); + } + + assertHitCount(response, 2L); + assertThat(RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.get(), equalTo(0)); + assertThat(RecordOldIndexSearchPlugin.OVERLAPPING_INDEX_QUERY_PHASES.get(), greaterThan(0)); + } + + private SearchResponse searchWithIndexFieldDomainMetadata(int preFilterShardSize) throws Exception { + enableIndexPruning(); + createLogsIndices(); + + index("logs-000001", "_doc", "1", "@timestamp", "1970-01-01T00:00:01Z", "message", "old"); + index("logs-000002", "_doc", "1", "@timestamp", "1970-01-01T00:00:03.500Z", "message", "current"); + refresh("logs-000001", "logs-000002"); + + publishFieldDomain("logs-000001", new DateRangeFieldDomain("@timestamp", 1_000L, 2_000L, true, "test")); + publishFieldDomain("logs-000002", new DateRangeFieldDomain("@timestamp", 3_000L, 4_000L, true, "test")); + + resetSearchEventCounters(); + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(true); + try { + return client().prepareSearch("logs-*") + .setPreFilterShardSize(preFilterShardSize) + .setQuery(rangeQuery("@timestamp").gte("1970-01-01T00:00:03Z").lte("1970-01-01T00:00:04Z")) + .addSort("@timestamp", SortOrder.ASC) + .get(); + } finally { + RecordOldIndexSearchPlugin.RECORD_SEARCH_EVENTS.set(false); + } + } + + private void enableIndexPruning() { + assertAcked( + client().admin() + .cluster() + .prepareUpdateSettings() + .setPersistentSettings( + Settings.builder() + .put(SearchIndexPruningSettings.ENABLED.getKey(), true) + .put(SearchIndexPruningSettings.MIN_SHARDS.getKey(), 1) + .putList(SearchIndexPruningSettings.FIELDS.getKey(), "@timestamp") + ) + .get() + ); + } + + private void createLogsIndices() { + Settings indexSettings = Settings.builder() + .put(IndexMetadata.SETTING_NUMBER_OF_SHARDS, 1) + .put(IndexMetadata.SETTING_NUMBER_OF_REPLICAS, 0) + .build(); + assertAcked(prepareCreate("logs-000001").setSettings(indexSettings).setMapping("@timestamp", "type=date")); + assertAcked(prepareCreate("logs-000002").setSettings(indexSettings).setMapping("@timestamp", "type=date")); + assertAcked(prepareCreate("logs-000003").setSettings(indexSettings).setMapping("@timestamp", "type=date")); + ensureGreen("logs-000001", "logs-000002", "logs-000003"); + } + + private void resetSearchEventCounters() { + RecordOldIndexSearchPlugin.OLD_INDEX_QUERY_PHASES.set(0); + RecordOldIndexSearchPlugin.OVERLAPPING_INDEX_QUERY_PHASES.set(0); + RecordOldIndexSearchPlugin.CAN_MATCH_REQUESTS.set(0); + RecordOldIndexSearchPlugin.OLD_INDEX_CAN_MATCH_REQUESTS.set(0); + } + + private void publishFieldDomain(String index, DateRangeFieldDomain domain) throws Exception { + ClusterService clusterService = internalCluster().getClusterManagerNodeInstance(ClusterService.class); + CountDownLatch latch = new CountDownLatch(1); + AtomicReference failure = new AtomicReference<>(); + + clusterService.submitStateUpdateTask("put-index-field-domain [" + index + "]", new ClusterStateUpdateTask(Priority.URGENT) { + @Override + public ClusterState execute(ClusterState currentState) { + IndexMetadata current = currentState.metadata().index(index); + if (current == null) { + failure.set(new IllegalStateException("index [" + index + "] not found in cluster state")); + return currentState; + } + + IndexMetadata updated = IndexFieldDomainMetadata.getInstance().putFieldDomain(current, domain); + Metadata metadata = Metadata.builder(currentState.metadata()).put(updated, true).build(); + return ClusterState.builder(currentState).metadata(metadata).build(); + } + + @Override + public void clusterStateProcessed(String source, ClusterState oldState, ClusterState newState) { + latch.countDown(); + } + + @Override + public void onFailure(String source, Exception e) { + failure.set(e); + latch.countDown(); + } + }); + + assertTrue(latch.await(30, TimeUnit.SECONDS)); + if (failure.get() != null) { + throw failure.get(); + } + } +} diff --git a/server/src/main/java/org/opensearch/action/search/CanMatchPreFilterSearchPhase.java b/server/src/main/java/org/opensearch/action/search/CanMatchPreFilterSearchPhase.java index 952d83b9e4539..87cf430e37120 100644 --- a/server/src/main/java/org/opensearch/action/search/CanMatchPreFilterSearchPhase.java +++ b/server/src/main/java/org/opensearch/action/search/CanMatchPreFilterSearchPhase.java @@ -47,6 +47,7 @@ import org.opensearch.telemetry.tracing.Tracer; import org.opensearch.transport.Transport; +import java.util.Arrays; import java.util.Comparator; import java.util.List; import java.util.Map; @@ -95,7 +96,49 @@ final class CanMatchPreFilterSearchPhase extends AbstractSearchAsyncAction nodeIdToConnection, + Map aliasFilter, + Map concreteIndexBoosts, + Map> indexRoutings, + Executor executor, + SearchRequest request, + ActionListener listener, + GroupShardsIterator shardsIts, + int[] activeShardIndexLookup, + TransportSearchAction.SearchTimeProvider timeProvider, + ClusterState clusterState, + SearchTask task, + Function, SearchPhase> phaseFactory, + SearchResponse.Clusters clusters, + SearchRequestContext searchRequestContext, + Tracer tracer + ) { + // Use the active shard count so can_match is effectively unthrottled without over-sizing the concurrency budget. super( SearchPhaseName.CAN_MATCH.getName(), logger, @@ -111,8 +154,8 @@ final class CanMatchPreFilterSearchPhase extends AbstractSearchAsyncAction results, return phaseFactory.apply(getIterator((CanMatchSearchPhaseResults) results, shardsIts)); } + private static int[] buildActiveShardIndexLookup(GroupShardsIterator shardsIts) { + int[] shardIndexes = new int[shardsIts.size()]; + int activeShardCount = 0; + for (int i = 0; i < shardsIts.size(); i++) { + /* + * AbstractSearchAsyncAction executes only non-skipped shard iterators. This + * compacts the shard indexes observed by can_match responses: response index 0 + * refers to the first active shard, not necessarily shardsIts.get(0). + * + * CanMatchPreFilterSearchPhase applies possibleMatches back onto the original + * GroupShardsIterator so skipped shard groups remain in their original positions + * for accounting and downstream phases. + * + * This lookup translates compacted active shard indexes back to original shard + * group indexes. + */ + if (shardsIts.get(i).skip() == false) { + shardIndexes[activeShardCount++] = i; + } + } + return Arrays.copyOf(shardIndexes, activeShardCount); + } + private GroupShardsIterator getIterator( CanMatchSearchPhaseResults results, GroupShardsIterator shardsIts @@ -155,7 +221,9 @@ private GroupShardsIterator getIterator( if (cardinality == 0) { // this is a special case where we have no hit but we need to get at least one search response in order // to produce a valid search result with all the aggs etc. - possibleMatches.set(0); + if (results.hasActiveShards()) { + possibleMatches.set(results.getFirstActiveShardIndex()); + } } SearchSourceBuilder source = getRequest().source(); int i = 0; @@ -217,18 +285,22 @@ private static Comparator shardComparator( private static final class CanMatchSearchPhaseResults extends SearchPhaseResults { private final FixedBitSet possibleMatches; private final MinAndMax[] minAndMaxes; + private final int[] activeShardIndexToOriginalShardIndex; + private final int firstActiveShardIndex; private int numPossibleMatches; - CanMatchSearchPhaseResults(int size) { - super(size); - possibleMatches = new FixedBitSet(size); - minAndMaxes = new MinAndMax[size]; + CanMatchSearchPhaseResults(int originalShardCount, int[] activeShardIndexToOriginalShardIndex) { + super(originalShardCount); + possibleMatches = new FixedBitSet(originalShardCount); + minAndMaxes = new MinAndMax[originalShardCount]; + this.activeShardIndexToOriginalShardIndex = activeShardIndexToOriginalShardIndex; + firstActiveShardIndex = activeShardIndexToOriginalShardIndex.length == 0 ? 0 : activeShardIndexToOriginalShardIndex[0]; } @Override void consumeResult(CanMatchResponse result, Runnable next) { try { - consumeResult(result.getShardIndex(), result.canMatch(), result.estimatedMinAndMax()); + consumeResult(originalShardIndex(result.getShardIndex()), result.canMatch(), result.estimatedMinAndMax()); } finally { next.run(); } @@ -242,7 +314,7 @@ boolean hasResult(int shardIndex) { @Override void consumeShardFailure(int shardIndex) { // we have to carry over shard failures in order to account for them in the response. - consumeResult(shardIndex, true, null); + consumeResult(originalShardIndex(shardIndex), true, null); } synchronized void consumeResult(int shardIndex, boolean canMatch, MinAndMax minAndMax) { @@ -261,6 +333,27 @@ synchronized FixedBitSet getPossibleMatches() { return possibleMatches; } + int getFirstActiveShardIndex() { + return firstActiveShardIndex; + } + + boolean hasActiveShards() { + return activeShardIndexToOriginalShardIndex.length > 0; + } + + private int originalShardIndex(int activeShardIndex) { + if (activeShardIndex < 0 || activeShardIndex >= activeShardIndexToOriginalShardIndex.length) { + throw new IllegalStateException( + "invalid can_match shard index [" + + activeShardIndex + + "] for active shard index range [0, " + + activeShardIndexToOriginalShardIndex.length + + ")" + ); + } + return activeShardIndexToOriginalShardIndex[activeShardIndex]; + } + @Override Stream getSuccessfulResults() { return Stream.empty(); diff --git a/server/src/main/java/org/opensearch/action/search/SearchIndexPruningService.java b/server/src/main/java/org/opensearch/action/search/SearchIndexPruningService.java new file mode 100644 index 0000000000000..83bd197f6f63e --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/SearchIndexPruningService.java @@ -0,0 +1,264 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.opensearch.action.search.pruning.FieldDomainEvaluationContext; +import org.opensearch.action.search.pruning.FieldDomainEvaluators; +import org.opensearch.action.search.pruning.MandatoryQueryConstraintExtractor; +import org.opensearch.action.search.pruning.QueryConstraint; +import org.opensearch.action.search.pruning.QueryConstraintExtractor; +import org.opensearch.action.search.pruning.SearchIndexPruningResult; +import org.opensearch.action.search.pruning.SearchIndexPruningSettings; +import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.routing.GroupShardsIterator; +import org.opensearch.common.settings.ClusterSettings; +import org.opensearch.common.settings.Settings; +import org.opensearch.index.fielddomain.FieldDomain; +import org.opensearch.index.fielddomain.FieldDomainProvider; + +import java.util.BitSet; +import java.util.Collection; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Objects; +import java.util.Optional; +import java.util.Set; +import java.util.concurrent.atomic.AtomicReference; + +/** + * Computes index-level shard-group pruning decisions for a search request before can-match or query execution. + * + * This service is deliberately conservative: it only returns pruned shard groups when a mandatory query constraint + * is provably disjoint from finalized index-level field domains stored in cluster state. Missing, malformed, + * unsupported, unfinalized, remote, or ambiguous metadata causes the shard group to be kept. + */ +public final class SearchIndexPruningService { + private static final Logger logger = LogManager.getLogger(SearchIndexPruningService.class); + + private final QueryConstraintExtractor constraintExtractor; + private final FieldDomainProvider domainProvider; + private final FieldDomainEvaluators fieldDomainEvaluators; + + private final AtomicReference config; + + /** + * Creates a pruning service backed by cluster settings and index field domains stored in cluster state. + * + * @param clusterSettings cluster settings used to read and subscribe to pruning settings + * @param domainProvider provider that resolves index-level field domains for candidate shard groups + */ + public SearchIndexPruningService(ClusterSettings clusterSettings, FieldDomainProvider domainProvider) { + this(clusterSettings, domainProvider, new MandatoryQueryConstraintExtractor(), FieldDomainEvaluators.defaultEvaluators()); + } + + SearchIndexPruningService( + ClusterSettings clusterSettings, + FieldDomainProvider domainProvider, + QueryConstraintExtractor constraintExtractor + ) { + this(clusterSettings, domainProvider, constraintExtractor, FieldDomainEvaluators.defaultEvaluators()); + } + + SearchIndexPruningService( + ClusterSettings clusterSettings, + FieldDomainProvider domainProvider, + QueryConstraintExtractor constraintExtractor, + FieldDomainEvaluators fieldDomainEvaluators + ) { + Objects.requireNonNull(clusterSettings, "clusterSettings must not be null"); + this.domainProvider = Objects.requireNonNull(domainProvider, "domainProvider must not be null"); + this.constraintExtractor = Objects.requireNonNull(constraintExtractor, "constraintExtractor must not be null"); + this.fieldDomainEvaluators = Objects.requireNonNull(fieldDomainEvaluators, "fieldDomainEvaluators must not be null"); + + this.config = new AtomicReference<>(SearchIndexPruningConfig.fromClusterSettings(clusterSettings)); + clusterSettings.addSettingsUpdateConsumer( + settings -> config.set(SearchIndexPruningConfig.fromSettings(settings)), + SearchIndexPruningSettings.getSettings() + ); + } + + /** + * Computes which shard groups can be skipped for the supplied search request. + * + * The returned result does not mutate the shard iterators. Callers decide when to materialize the result by marking + * the selected {@link SearchShardIterator}s as skipped. + * + * @param request search request being executed + * @param shardIterators shard groups resolved for this request + * @param clusterState cluster state used to read index metadata + * @param evaluationContext request-scoped values needed while evaluating field domains + * @return pruning result containing the original shard iterators and any pruned shard group indexes + */ + public SearchIndexPruningResult prune( + SearchRequest request, + GroupShardsIterator shardIterators, + ClusterState clusterState, + FieldDomainEvaluationContext evaluationContext + ) { + Objects.requireNonNull(shardIterators, "shardIterators must not be null"); + try { + return doPrune(request, shardIterators, clusterState, evaluationContext); + } catch (RuntimeException e) { + logger.warn("failed to compute search index pruning; continuing without pruning", e); + return SearchIndexPruningResult.notPruned(shardIterators); + } + } + + private SearchIndexPruningResult doPrune( + SearchRequest request, + GroupShardsIterator shardIterators, + ClusterState clusterState, + FieldDomainEvaluationContext evaluationContext + ) { + Objects.requireNonNull(evaluationContext, "evaluationContext must not be null"); + final int originalSize = size(shardIterators); + final int activeShardGroups = activeShardGroups(shardIterators); + final SearchIndexPruningConfig currentConfig = config.get(); + + if (shouldSkip(request, activeShardGroups, currentConfig)) { + return SearchIndexPruningResult.notPruned(shardIterators); + } + + final Set pruningFields = currentConfig.fields; + + final List constraints = constraintExtractor.extractMandatoryConstraints(request.source(), pruningFields); + + if (constraints.isEmpty()) { + return SearchIndexPruningResult.notPruned(shardIterators); + } + + Map>> domainsByIndexAndField = new HashMap<>(); + BitSet prunedShardGroupIndexes = new BitSet(originalSize); + int pruned = 0; + + for (int shardGroupIndex = 0; shardGroupIndex < shardIterators.size(); shardGroupIndex++) { + SearchShardIterator shardIterator = shardIterators.get(shardGroupIndex); + if (shardIterator.skip()) { + continue; + } + + if (shouldAlwaysKeep(shardIterator)) { + continue; + } + + final String indexName = shardIterator.shardId().getIndexName(); + + boolean prune = false; + for (QueryConstraint constraint : constraints) { + final Optional maybeDomain = domainsByIndexAndField.computeIfAbsent(indexName, ignored -> new HashMap<>()) + .computeIfAbsent(constraint.field(), field -> domainProvider.getDomain(clusterState, indexName, field)); + + if (maybeDomain.isEmpty()) { + continue; + } + + final FieldDomain domain = maybeDomain.get(); + + if (domain.finalized() == false) { + continue; + } + + if (fieldDomainEvaluators.canMatch(domain, constraint, evaluationContext) == false) { + prune = true; + break; + } + } + + if (prune) { + prunedShardGroupIndexes.set(shardGroupIndex); + pruned++; + } + } + + if (pruned == 0) { + return SearchIndexPruningResult.notPruned(shardIterators); + } + + if (pruned == activeShardGroups) { + /* + * Pruning is an optimization. If every currently active shard group would be skipped, fall back to + * the original iterators until zero-shard response semantics are covered explicitly for this + * pre-can-match stage. Existing skip flags are preserved because they may have been set by another + * search execution step. + */ + return SearchIndexPruningResult.notPruned(shardIterators); + } + + return SearchIndexPruningResult.pruned(shardIterators, prunedShardGroupIndexes); + } + + private static boolean shouldSkip(SearchRequest request, int activeShardGroups, SearchIndexPruningConfig config) { + if (config.enabled == false) { + return true; + } + + if (request == null || request.source() == null) { + return true; + } + + if (request.pointInTimeBuilder() != null) { + // PIT searches must preserve the shard set captured by the PIT creation snapshot. + return true; + } + + if (activeShardGroups < config.minShards) { + return true; + } + return config.fields.isEmpty(); + } + + private static boolean shouldAlwaysKeep(SearchShardIterator shardIterator) { + return shardIterator.getClusterAlias() != null; + } + + private static int size(GroupShardsIterator iterators) { + return iterators.size(); + } + + private static int activeShardGroups(GroupShardsIterator iterators) { + int activeShardGroups = 0; + for (int i = 0; i < iterators.size(); i++) { + if (iterators.get(i).skip() == false) { + activeShardGroups++; + } + } + return activeShardGroups; + } + + private static final class SearchIndexPruningConfig { + private final boolean enabled; + private final int minShards; + private final Set fields; + + private SearchIndexPruningConfig(boolean enabled, int minShards, Collection fields) { + this.enabled = enabled; + this.minShards = minShards; + this.fields = Set.copyOf(fields); + } + + private static SearchIndexPruningConfig fromClusterSettings(ClusterSettings clusterSettings) { + return new SearchIndexPruningConfig( + clusterSettings.get(SearchIndexPruningSettings.ENABLED), + clusterSettings.get(SearchIndexPruningSettings.MIN_SHARDS), + clusterSettings.get(SearchIndexPruningSettings.FIELDS) + ); + } + + private static SearchIndexPruningConfig fromSettings(Settings settings) { + return new SearchIndexPruningConfig( + SearchIndexPruningSettings.ENABLED.get(settings), + SearchIndexPruningSettings.MIN_SHARDS.get(settings), + SearchIndexPruningSettings.FIELDS.get(settings) + ); + } + } +} diff --git a/server/src/main/java/org/opensearch/action/search/TransportSearchAction.java b/server/src/main/java/org/opensearch/action/search/TransportSearchAction.java index b69c8578e5703..304e4d5a5f3f5 100644 --- a/server/src/main/java/org/opensearch/action/search/TransportSearchAction.java +++ b/server/src/main/java/org/opensearch/action/search/TransportSearchAction.java @@ -38,6 +38,8 @@ import org.opensearch.action.admin.cluster.shards.ClusterSearchShardsGroup; import org.opensearch.action.admin.cluster.shards.ClusterSearchShardsRequest; import org.opensearch.action.admin.cluster.shards.ClusterSearchShardsResponse; +import org.opensearch.action.search.pruning.FieldDomainEvaluationContext; +import org.opensearch.action.search.pruning.SearchIndexPruningResult; import org.opensearch.action.support.ActionFilters; import org.opensearch.action.support.HandledTransportAction; import org.opensearch.action.support.IndicesOptions; @@ -71,6 +73,7 @@ import org.opensearch.core.index.shard.ShardId; import org.opensearch.core.indices.breaker.CircuitBreakerService; import org.opensearch.core.tasks.TaskId; +import org.opensearch.index.fielddomain.ClusterStateFieldDomainProvider; import org.opensearch.index.query.Rewriteable; import org.opensearch.indices.IndicesService; import org.opensearch.search.SearchPhaseResult; @@ -189,6 +192,8 @@ public class TransportSearchAction extends HandledTransportAction buildPerIndexAliasFilter( @@ -1273,6 +1282,68 @@ AbstractSearchAsyncAction searchAsyncAction( ThreadPool threadPool, SearchResponse.Clusters clusters, SearchRequestContext searchRequestContext + ) { + maybeApplySearchIndexPruning(searchRequest, shardIterators, clusterState, timeProvider); + return createSearchAsyncAction( + task, + searchRequest, + executor, + shardIterators, + timeProvider, + connectionLookup, + clusterState, + aliasFilter, + concreteIndexBoosts, + indexRoutings, + listener, + preFilter, + threadPool, + clusters, + searchRequestContext + ); + } + + /** + * Applies index pruning results to the request-local shard iterators. + */ + private void maybeApplySearchIndexPruning( + SearchRequest searchRequest, + GroupShardsIterator shardIterators, + ClusterState clusterState, + SearchTimeProvider timeProvider + ) { + final SearchIndexPruningResult pruningResult = searchIndexPruningService.prune( + searchRequest, + shardIterators, + clusterState, + new FieldDomainEvaluationContext(timeProvider::getAbsoluteStartMillis) + ); + if (pruningResult.pruned() == false) { + return; + } + for (int i = 0; i < pruningResult.originalShardGroups(); i++) { + if (pruningResult.isPrunedShardGroup(i)) { + pruningResult.shardIterators().get(i).resetAndSkip(); + } + } + } + + private AbstractSearchAsyncAction createSearchAsyncAction( + SearchTask task, + SearchRequest searchRequest, + Executor executor, + GroupShardsIterator shardIterators, + SearchTimeProvider timeProvider, + BiFunction connectionLookup, + ClusterState clusterState, + Map aliasFilter, + Map concreteIndexBoosts, + Map> indexRoutings, + ActionListener listener, + boolean preFilter, + ThreadPool threadPool, + SearchResponse.Clusters clusters, + SearchRequestContext searchRequestContext ) { if (preFilter) { return new CanMatchPreFilterSearchPhase( @@ -1290,7 +1361,7 @@ AbstractSearchAsyncAction searchAsyncAction( clusterState, task, (iter) -> new WrappingSearchAsyncActionPhase( - searchAsyncAction( + createSearchAsyncAction( task, searchRequest, executor, diff --git a/server/src/main/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluator.java b/server/src/main/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluator.java new file mode 100644 index 0000000000000..ccd325b782f30 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluator.java @@ -0,0 +1,212 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.common.time.DateFormatter; +import org.opensearch.common.time.DateMathParser; +import org.opensearch.index.fielddomain.DateRangeFieldDomain; +import org.opensearch.index.fielddomain.FieldDomain; +import org.opensearch.index.mapper.DateFieldMapper; + +import java.time.ZoneId; +import java.util.Locale; +import java.util.Optional; + +/** + * Evaluates date range index bounds against generic range query constraints. + * + * Unsupported domains, unsupported constraints, parse failures, and invalid resolutions all return {@code true} + * so pruning remains conservative. + */ +public final class DateRangeFieldDomainEvaluator implements FieldDomainEvaluator { + /** + * Returns {@code false} only when the query date range is provably disjoint from the finalized index date range. + * Unfinalized domains are treated as potentially matching, even though the pruning service also filters them before + * calling evaluators. + */ + @Override + public boolean canMatch(FieldDomain domain, QueryConstraint constraint, FieldDomainEvaluationContext context) { + if (!(domain instanceof DateRangeFieldDomain dateRangeDomain) || !(constraint instanceof RangeQueryConstraint rangeConstraint)) { + return true; + } + if (dateRangeDomain.finalized() == false) { + return true; + } + + Optional indexRange = parseIndexRange(dateRangeDomain); + if (indexRange.isEmpty()) { + return true; + } + + Optional queryRange = parseQueryRange(dateRangeDomain, rangeConstraint, context); + if (queryRange.isEmpty()) { + return true; + } + + NormalizedRange index = indexRange.get(); + if (index.isEmpty()) { + return true; + } + + NormalizedRange query = queryRange.get(); + if (query.isEmpty()) { + return false; + } + + return index.intersects(query); + } + + private static Optional parseIndexRange(DateRangeFieldDomain domain) { + try { + long min = Long.parseLong(domain.min()); + long max = Long.parseLong(domain.max()); + if (min > max) { + return Optional.empty(); + } + return Optional.of(new NormalizedRange(min, max)); + } catch (NumberFormatException e) { + return Optional.empty(); + } + } + + private Optional parseQueryRange( + DateRangeFieldDomain domain, + RangeQueryConstraint constraint, + FieldDomainEvaluationContext context + ) { + DateFieldMapper.Resolution resolution = resolveResolution(domain); + if (resolution == null) { + return Optional.empty(); + } + + if (constraint.relation() != null) { + return Optional.empty(); + } + + DateMathParser parser; + try { + String format = constraint.format() == null ? domain.format() : constraint.format(); + parser = format == null + ? DateFieldMapper.getDefaultDateTimeFormatter().toDateMathParser() + : DateFormatter.forPattern(format).toDateMathParser(); + } catch (RuntimeException e) { + return Optional.empty(); + } + + ZoneId timeZone; + try { + timeZone = constraint.timeZone() == null ? null : ZoneId.of(constraint.timeZone()); + } catch (RuntimeException e) { + return Optional.empty(); + } + + long lowerInclusive = Long.MIN_VALUE; + if (constraint.hasLowerBound()) { + // Match RangeQueryBuilder's date-bound rounding: exclusive lower bounds round up before the +1 adjustment. + Optional parsed = parseDateValue( + constraint.lowerValue(), + constraint.includeLower() == false, + timeZone, + parser, + context, + resolution + ); + if (parsed.isEmpty()) { + return Optional.empty(); + } + lowerInclusive = parsed.get(); + if (constraint.includeLower() == false) { + if (lowerInclusive == Long.MAX_VALUE) { + return Optional.of(NormalizedRange.EMPTY); + } + lowerInclusive++; + } + } + + long upperInclusive = Long.MAX_VALUE; + if (constraint.hasUpperBound()) { + // Match RangeQueryBuilder's date-bound rounding: inclusive upper bounds round up to the end of the parsed value. + Optional parsed = parseDateValue( + constraint.upperValue(), + constraint.includeUpper(), + timeZone, + parser, + context, + resolution + ); + if (parsed.isEmpty()) { + return Optional.empty(); + } + upperInclusive = parsed.get(); + if (constraint.includeUpper() == false) { + if (upperInclusive == Long.MIN_VALUE) { + return Optional.of(NormalizedRange.EMPTY); + } + upperInclusive--; + } + } + + if (lowerInclusive > upperInclusive) { + return Optional.of(NormalizedRange.EMPTY); + } + + return Optional.of(new NormalizedRange(lowerInclusive, upperInclusive)); + } + + private static Optional parseDateValue( + Object value, + boolean roundUp, + ZoneId zone, + DateMathParser parser, + FieldDomainEvaluationContext context, + DateFieldMapper.Resolution resolution + ) { + try { + return Optional.of( + DateFieldMapper.DateFieldType.parseToLong(value, roundUp, zone, parser, context.nowInMillisSupplier(), resolution) + ); + } catch (RuntimeException e) { + return Optional.empty(); + } + } + + private static DateFieldMapper.Resolution resolveResolution(DateRangeFieldDomain domain) { + if (domain.resolution() == null || domain.resolution().isEmpty()) { + return null; + } + + String configured = domain.resolution().toLowerCase(Locale.ROOT); + for (DateFieldMapper.Resolution resolution : DateFieldMapper.Resolution.values()) { + if (resolution.name().toLowerCase(Locale.ROOT).equals(configured) || resolution.type().equals(configured)) { + return resolution; + } + } + return null; + } + + private static final class NormalizedRange { + private static final NormalizedRange EMPTY = new NormalizedRange(1L, 0L); + + private final long min; + private final long max; + + private NormalizedRange(long min, long max) { + this.min = min; + this.max = max; + } + + private boolean isEmpty() { + return min > max; + } + + private boolean intersects(NormalizedRange other) { + return max >= other.min && min <= other.max; + } + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluationContext.java b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluationContext.java new file mode 100644 index 0000000000000..80ee9e09aaf3a --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluationContext.java @@ -0,0 +1,42 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import java.util.Objects; +import java.util.function.LongSupplier; + +/** + * Request-scoped context used while evaluating field domains against query constraints. + */ +public final class FieldDomainEvaluationContext { + private final LongSupplier nowInMillisSupplier; + + /** + * Creates an evaluation context. + * + * @param nowInMillisSupplier supplier for the search request's absolute start time in epoch milliseconds + */ + public FieldDomainEvaluationContext(LongSupplier nowInMillisSupplier) { + this.nowInMillisSupplier = Objects.requireNonNull(nowInMillisSupplier, "nowInMillisSupplier must not be null"); + } + + /** + * Supplier for resolving date math expressions such as {@code now}. + */ + public LongSupplier nowInMillisSupplier() { + return nowInMillisSupplier; + } + + /** + * Resolves the request's absolute start time in epoch milliseconds. + */ + public long nowInMillis() { + return nowInMillisSupplier.getAsLong(); + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluator.java b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluator.java new file mode 100644 index 0000000000000..38cb2251358b8 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluator.java @@ -0,0 +1,36 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.index.fielddomain.FieldDomain; + +/** + * Type-specific component that compares an index-side {@link FieldDomain} with a query-side {@link QueryConstraint}. + * + * A field domain by itself is only metadata, and a query constraint by itself is only a requirement from the search + * request. The evaluator knows how to interpret both for a particular domain/constraint combination. For example, a + * date-range evaluator can parse date math in a range query, normalize it to the domain's resolution, and decide + * whether the query range intersects the index's date range. + * + * Evaluators are part of the pruning correctness boundary. They must be conservative: returning {@code false} means + * "this index cannot match"; returning {@code true} means "this index may match, or I cannot prove otherwise". + */ +public interface FieldDomainEvaluator { + /** + * Returns true when the index may contain matches for the query constraint. + * Returning false means the index is provably disjoint and may be pruned. Unsupported + * domain or constraint types must return true. + * + * @param domain index-level field domain + * @param constraint mandatory query constraint for the same field + * @param context request-scoped evaluation context + * @return {@code true} when the index may match, {@code false} only when it is safe to prune + */ + boolean canMatch(FieldDomain domain, QueryConstraint constraint, FieldDomainEvaluationContext context); +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluators.java b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluators.java new file mode 100644 index 0000000000000..3de9bc9c93887 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/FieldDomainEvaluators.java @@ -0,0 +1,66 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.index.fielddomain.FieldDomain; + +import java.util.List; +import java.util.Objects; + +/** + * Ordered collection of field-domain evaluators. + * + * The collection keeps pruning conservative by treating "no evaluator can prune" as "the index may match". + */ +public final class FieldDomainEvaluators { + + private static final FieldDomainEvaluators DEFAULT = new FieldDomainEvaluators(List.of(new DateRangeFieldDomainEvaluator())); + + private final List evaluators; + + /** + * Creates an evaluator collection. + * + * @param evaluators evaluators to run for each field-domain/constraint pair + */ + public FieldDomainEvaluators(List evaluators) { + Objects.requireNonNull(evaluators, "evaluators must not be null"); + this.evaluators = List.copyOf(evaluators); + } + + /** + * Returns the built-in evaluator collection. + */ + public static FieldDomainEvaluators defaultEvaluators() { + return DEFAULT; + } + + /** + * Returns whether an index with the supplied bounds may match the supplied query constraint. + * + * @return {@code false} if any evaluator proves the pair is disjoint; otherwise {@code true} + */ + public boolean canMatch(FieldDomain domain, QueryConstraint constraint, FieldDomainEvaluationContext context) { + Objects.requireNonNull(domain, "domain must not be null"); + Objects.requireNonNull(constraint, "constraint must not be null"); + Objects.requireNonNull(context, "context must not be null"); + + if (domain.finalized() == false || domain.field().equals(constraint.field()) == false) { + return true; + } + + for (FieldDomainEvaluator evaluator : evaluators) { + if (evaluator.canMatch(domain, constraint, context) == false) { + return false; + } + } + + return true; + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractor.java b/server/src/main/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractor.java new file mode 100644 index 0000000000000..f26302bb91f82 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractor.java @@ -0,0 +1,98 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.apache.lucene.search.BooleanClause; +import org.opensearch.index.query.QueryBuilder; +import org.opensearch.index.query.QueryBuilderVisitor; +import org.opensearch.index.query.RangeQueryBuilder; +import org.opensearch.search.builder.SearchSourceBuilder; + +import java.util.ArrayList; +import java.util.List; +import java.util.Set; + +/** + * Conservative query-tree walker that extracts constraints from mandatory query positions. + * + * The extractor relies on {@link QueryBuilder#visit(QueryBuilderVisitor)} to traverse the query tree. It only follows + * children visited as {@link BooleanClause.Occur#MUST} or {@link BooleanClause.Occur#FILTER}; optional or negative + * clauses are ignored because they are not required for every matching document. + */ +public final class MandatoryQueryConstraintExtractor implements QueryConstraintExtractor { + /** + * Extracts mandatory constraints for the configured pruning fields. + */ + @Override + public List extractMandatoryConstraints(SearchSourceBuilder source, Set pruningFields) { + if (source == null || source.query() == null || pruningFields == null || pruningFields.isEmpty()) { + return List.of(); + } + + MandatoryQueryConstraintVisitor visitor = new MandatoryQueryConstraintVisitor(pruningFields); + source.query().visit(visitor); + return visitor.constraints(); + } + + private static final class MandatoryQueryConstraintVisitor implements QueryBuilderVisitor { + private final Set pruningFields; + private final List constraints = new ArrayList<>(); + + private MandatoryQueryConstraintVisitor(Set pruningFields) { + this.pruningFields = pruningFields; + } + + @Override + public void accept(QueryBuilder queryBuilder) { + if (queryBuilder instanceof RangeQueryBuilder) { + RangeQueryConstraint constraint = buildRangeConstraint((RangeQueryBuilder) queryBuilder, pruningFields); + if (constraint != null) { + constraints.add(constraint); + } + } + } + + @Override + public QueryBuilderVisitor getChildVisitor(BooleanClause.Occur occur) { + switch (occur) { + case MUST: + case FILTER: + return this; + default: + return QueryBuilderVisitor.NO_OP_VISITOR; + } + } + + private List constraints() { + return List.copyOf(constraints); + } + } + + private static RangeQueryConstraint buildRangeConstraint(RangeQueryBuilder range, Set pruningFields) { + String field = range.fieldName(); + if (field == null || pruningFields.contains(field) == false) { + return null; + } + + if (range.from() == null && range.to() == null) { + return null; + } + + return new RangeQueryConstraint( + field, + range.from(), + range.to(), + range.includeLower(), + range.includeUpper(), + range.format(), + range.timeZone(), + range.relation() + ); + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraint.java b/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraint.java new file mode 100644 index 0000000000000..35dc1f5d081bd --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraint.java @@ -0,0 +1,19 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +/** + * Mandatory query-side condition that can be evaluated against index-level field domains. + */ +public interface QueryConstraint { + /** + * Field name constrained by the query. + */ + String field(); +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraintExtractor.java b/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraintExtractor.java new file mode 100644 index 0000000000000..6ff9d65de4130 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/QueryConstraintExtractor.java @@ -0,0 +1,28 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.search.builder.SearchSourceBuilder; + +import java.util.List; +import java.util.Set; + +/** + * Extracts mandatory query constraints that are safe to use for index pruning. + */ +public interface QueryConstraintExtractor { + /** + * Extracts constraints that every matching document must satisfy. + * + * @param source search source containing the query tree + * @param fields configured pruning fields + * @return mandatory constraints for configured fields + */ + List extractMandatoryConstraints(SearchSourceBuilder source, Set fields); +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/RangeQueryConstraint.java b/server/src/main/java/org/opensearch/action/search/pruning/RangeQueryConstraint.java new file mode 100644 index 0000000000000..74482240dba6c --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/RangeQueryConstraint.java @@ -0,0 +1,138 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.common.geo.ShapeRelation; + +import java.util.Objects; + +/** + * Generic query constraint extracted from a mandatory range query. + * + * This class intentionally models range-query structure only. Its fields are an immutable snapshot of the normalized + * state exposed by {@link org.opensearch.index.query.RangeQueryBuilder}: lower/upper bounds, inclusivity, and optional + * range interpretation parameters such as format, time zone, and relation. Type-specific semantics such as date parsing, + * numeric coercion, or geo interpretation are handled by field-domain evaluators. + */ +public final class RangeQueryConstraint implements QueryConstraint { + private final String field; + private final Object lowerValue; + private final Object upperValue; + private final boolean includeLower; + private final boolean includeUpper; + private final String format; + private final String timeZone; + private final ShapeRelation relation; + + /** + * Creates a range query constraint with optional range-query interpretation parameters. + * + * @param field constrained field name + * @param lowerValue lower bound value, or {@code null} for unbounded + * @param upperValue upper bound value, or {@code null} for unbounded + * @param includeLower whether the lower bound is inclusive + * @param includeUpper whether the upper bound is inclusive + * @param format optional query-level format + * @param timeZone optional query-level time zone + * @param relation optional range relation + */ + public RangeQueryConstraint( + String field, + Object lowerValue, + Object upperValue, + boolean includeLower, + boolean includeUpper, + String format, + String timeZone, + ShapeRelation relation + ) { + this.field = Objects.requireNonNull(field, "field must not be null"); + if (field.isEmpty()) { + throw new IllegalArgumentException("field must not be empty"); + } + if (lowerValue == null && upperValue == null) { + throw new IllegalArgumentException("range constraint must have at least one bound"); + } + this.lowerValue = lowerValue; + this.upperValue = upperValue; + this.includeLower = includeLower; + this.includeUpper = includeUpper; + this.format = format; + this.timeZone = timeZone; + this.relation = relation; + } + + @Override + public String field() { + return field; + } + + /** + * Lower bound value as supplied by the query builder, or {@code null} when unbounded. + */ + public Object lowerValue() { + return lowerValue; + } + + /** + * Upper bound value as supplied by the query builder, or {@code null} when unbounded. + */ + public Object upperValue() { + return upperValue; + } + + /** + * Whether the lower bound is inclusive. + */ + public boolean includeLower() { + return includeLower; + } + + /** + * Whether the upper bound is inclusive. + */ + public boolean includeUpper() { + return includeUpper; + } + + /** + * Optional query-level format as supplied by the range query builder. + */ + public String format() { + return format; + } + + /** + * Optional query-level time zone as supplied by the range query builder. + */ + public String timeZone() { + return timeZone; + } + + /** + * Optional range relation as supplied by the range query builder. + */ + public ShapeRelation relation() { + return relation; + } + + /** + * Whether this constraint has a lower bound. + */ + public boolean hasLowerBound() { + return lowerValue != null; + } + + /** + * Whether this constraint has an upper bound. + */ + public boolean hasUpperBound() { + return upperValue != null; + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningResult.java b/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningResult.java new file mode 100644 index 0000000000000..2a4da2f1bb607 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningResult.java @@ -0,0 +1,94 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.action.search.SearchShardIterator; +import org.opensearch.cluster.routing.GroupShardsIterator; + +import java.util.BitSet; +import java.util.Objects; + +/** + * Immutable result of one index-pruning pass. + * + * The result records shard group indexes in the original {@link GroupShardsIterator}. It does not mutate iterators; + * the caller materializes pruning by marking selected {@link SearchShardIterator}s as skipped. + */ +public final class SearchIndexPruningResult { + private final GroupShardsIterator shardIterators; + private final BitSet prunedShardGroupIndexes; + + private SearchIndexPruningResult(GroupShardsIterator shardIterators, BitSet prunedShardGroupIndexes) { + this.shardIterators = Objects.requireNonNull(shardIterators, "shardIterators must not be null"); + this.prunedShardGroupIndexes = copyOf(prunedShardGroupIndexes); + } + + /** + * Creates a result representing no pruning. + */ + public static SearchIndexPruningResult notPruned(GroupShardsIterator shardIterators) { + return new SearchIndexPruningResult(shardIterators, new BitSet(shardIterators.size())); + } + + /** + * Creates a result containing pruned shard group indexes. + */ + public static SearchIndexPruningResult pruned(GroupShardsIterator shardIterators, BitSet prunedShardGroupIndexes) { + Objects.requireNonNull(shardIterators, "shardIterators must not be null"); + Objects.requireNonNull(prunedShardGroupIndexes, "prunedShardGroupIndexes must not be null"); + + int prunedShardGroups = prunedShardGroupIndexes.cardinality(); + if (prunedShardGroups < 1 || prunedShardGroups >= shardIterators.size()) { + throw new IllegalArgumentException("pruned shard group count must be between 1 and total shard groups - 1"); + } + if (prunedShardGroupIndexes.length() > shardIterators.size()) { + throw new IllegalArgumentException("pruned shard group indexes must be within the shard iterator bounds"); + } + return new SearchIndexPruningResult(shardIterators, prunedShardGroupIndexes); + } + + /** + * Original shard iterators supplied to the pruning pass. + */ + public GroupShardsIterator shardIterators() { + return shardIterators; + } + + /** + * Number of original shard groups. + */ + public int originalShardGroups() { + return shardIterators.size(); + } + + /** + * Whether the original shard group index was pruned. + */ + public boolean isPrunedShardGroup(int shardGroupIndex) { + return prunedShardGroupIndexes.get(shardGroupIndex); + } + + /** + * Number of pruned shard groups. + */ + public int prunedShardGroups() { + return prunedShardGroupIndexes.cardinality(); + } + + /** + * Whether at least one shard group was pruned. + */ + public boolean pruned() { + return prunedShardGroupIndexes.isEmpty() == false; + } + + private static BitSet copyOf(BitSet bitSet) { + return (BitSet) Objects.requireNonNull(bitSet, "bitSet must not be null").clone(); + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningSettings.java b/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningSettings.java new file mode 100644 index 0000000000000..a8532fd066855 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/SearchIndexPruningSettings.java @@ -0,0 +1,53 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.common.settings.Setting; + +import java.util.Collections; +import java.util.List; +import java.util.function.Function; + +import static org.opensearch.common.settings.Setting.Property.Dynamic; +import static org.opensearch.common.settings.Setting.Property.NodeScope; + +/** + * Cluster settings controlling index-level search pruning. + */ +public final class SearchIndexPruningSettings { + private SearchIndexPruningSettings() {} + + /** + * Enables coordinator-side index pruning before can-match/query execution. + */ + public static final Setting ENABLED = Setting.boolSetting("search.index_pruning.enabled", false, Dynamic, NodeScope); + + /** + * Minimum number of shard groups required before pruning is attempted. + */ + public static final Setting MIN_SHARDS = Setting.intSetting("search.index_pruning.min_shards", 128, 1, Dynamic, NodeScope); + + /** + * Query fields eligible for pruning. + */ + public static final Setting> FIELDS = Setting.listSetting( + "search.index_pruning.fields", + Collections.emptyList(), + Function.identity(), + Dynamic, + NodeScope + ); + + /** + * Returns all pruning settings for registration with cluster settings. + */ + public static List> getSettings() { + return List.of(ENABLED, MIN_SHARDS, FIELDS); + } +} diff --git a/server/src/main/java/org/opensearch/action/search/pruning/package-info.java b/server/src/main/java/org/opensearch/action/search/pruning/package-info.java new file mode 100644 index 0000000000000..cae5c09d35ce9 --- /dev/null +++ b/server/src/main/java/org/opensearch/action/search/pruning/package-info.java @@ -0,0 +1,10 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +/** Index-level search shards pruning */ +package org.opensearch.action.search.pruning; diff --git a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java index e0e0fe4111080..66e011f82fe13 100644 --- a/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java +++ b/server/src/main/java/org/opensearch/common/settings/ClusterSettings.java @@ -39,6 +39,7 @@ import org.opensearch.action.search.SearchRequestStats; import org.opensearch.action.search.StreamSearchTransportService; import org.opensearch.action.search.TransportSearchAction; +import org.opensearch.action.search.pruning.SearchIndexPruningSettings; import org.opensearch.action.support.AutoCreateIndex; import org.opensearch.action.support.DestructiveOperations; import org.opensearch.action.support.replication.TransportReplicationAction; @@ -933,7 +934,10 @@ public void apply(Settings value, Settings current, Settings previous) { StreamTransportService.STREAM_TRANSPORT_REQ_TIMEOUT_SETTING, StreamSearchTransportService.STREAM_SEARCH_ENABLED, TieredStoragePrefetchSettings.READ_AHEAD_BLOCK_COUNT, - TieredStoragePrefetchSettings.STORED_FIELDS_PREFETCH_ENABLED_SETTING + TieredStoragePrefetchSettings.STORED_FIELDS_PREFETCH_ENABLED_SETTING, + SearchIndexPruningSettings.ENABLED, + SearchIndexPruningSettings.MIN_SHARDS, + SearchIndexPruningSettings.FIELDS ) ) ); diff --git a/server/src/main/java/org/opensearch/index/fielddomain/ClusterStateFieldDomainProvider.java b/server/src/main/java/org/opensearch/index/fielddomain/ClusterStateFieldDomainProvider.java new file mode 100644 index 0000000000000..87754fed034a7 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/ClusterStateFieldDomainProvider.java @@ -0,0 +1,60 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.Map; +import java.util.Objects; +import java.util.Optional; + +/** + * Reads field-domain metadata from {@link IndexMetadata} custom data in cluster state. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class ClusterStateFieldDomainProvider implements FieldDomainProvider { + private final IndexFieldDomainMetadata metadata; + + /** + * Creates a provider using the built-in field-domain metadata parser. + */ + public ClusterStateFieldDomainProvider() { + this(IndexFieldDomainMetadata.getInstance()); + } + + ClusterStateFieldDomainProvider(IndexFieldDomainMetadata metadata) { + this.metadata = Objects.requireNonNull(metadata, "metadata must not be null"); + } + + /** + * Resolves domains from {@code index_field_domains} custom metadata for a concrete index. + */ + @Override + public Optional getDomain(ClusterState clusterState, String indexName, String field) { + if (clusterState == null || indexName == null || field == null || field.isEmpty()) { + return Optional.empty(); + } + + IndexMetadata indexMetadata = clusterState.metadata().index(indexName); + if (indexMetadata == null) { + return Optional.empty(); + } + + Map custom = indexMetadata.getCustomData(IndexFieldDomainMetadata.CUSTOM_KEY); + if (custom == null || custom.isEmpty()) { + return Optional.empty(); + } + + return metadata.fromCustomData(custom, field); + } +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomain.java b/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomain.java new file mode 100644 index 0000000000000..5d84b92ff280c --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomain.java @@ -0,0 +1,165 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.common.annotation.ExperimentalApi; +import org.opensearch.index.mapper.DateFieldMapper; + +import java.util.Locale; +import java.util.Objects; + +/** + * Field domain implementation for date-like range metadata. + * + * The stored min/max values are serialized as strings so the cluster-state custom metadata remains a simple + * {@code Map}. The evaluator interprets them using the configured resolution. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class DateRangeFieldDomain implements FieldDomain { + /** + * Metadata type for date range field domains. + */ + public static final String TYPE = "date_range"; + + private static final String DEFAULT_RESOLUTION = DateFieldMapper.Resolution.MILLISECONDS.name().toLowerCase(Locale.ROOT); + + private final String field; + private final String min; + private final String max; + private final boolean finalized; + private final String source; + private final String format; + private final String resolution; + + /** + * Creates millisecond-resolution date range bounds. + * + * @param field field name this domain describes + * @param min inclusive lower index bound in epoch milliseconds + * @param max inclusive upper index bound in epoch milliseconds + * @param finalized whether this domain is trusted as complete for consumers that require finalized metadata + * @param source optional producer identifier + */ + public DateRangeFieldDomain(String field, long min, long max, boolean finalized, String source) { + this(field, Long.toString(min), Long.toString(max), finalized, source, null, DEFAULT_RESOLUTION); + } + + /** + * Creates date range bounds using serialized bound values. + * + * @param field field name this domain describes + * @param min inclusive lower index bound + * @param max inclusive upper index bound + * @param finalized whether this domain is trusted as complete for consumers that require finalized metadata + * @param source optional producer identifier + * @param format optional date format used by the bound producer + * @param resolution date resolution, for example milliseconds or nanoseconds + */ + public DateRangeFieldDomain(String field, String min, String max, boolean finalized, String source, String format, String resolution) { + this.field = requireNonEmpty(field, "field"); + this.min = requireNonEmpty(min, "min"); + this.max = requireNonEmpty(max, "max"); + validateBounds(this.min, this.max); + this.finalized = finalized; + this.source = source; + this.format = format; + this.resolution = normalizeResolution(resolution); + } + + @Override + public String field() { + return field; + } + + /** + * Returns {@link #TYPE}. + */ + @Override + public String type() { + return TYPE; + } + + /** + * Inclusive lower index bound, serialized as metadata. + */ + public String min() { + return min; + } + + /** + * Inclusive upper index bound, serialized as metadata. + */ + public String max() { + return max; + } + + @Override + public boolean finalized() { + return finalized; + } + + /** + * Optional identifier for the component that produced these bounds. + */ + public String source() { + return source; + } + + /** + * Optional date format used to interpret query and index bounds. + */ + public String format() { + return format; + } + + /** + * Optional date resolution used to interpret numeric bounds. + */ + public String resolution() { + return resolution; + } + + private static String requireNonEmpty(String value, String name) { + Objects.requireNonNull(value, name + " must not be null"); + if (value.isEmpty()) { + throw new IllegalArgumentException(name + " must not be empty"); + } + return value; + } + + private static void validateBounds(String min, String max) { + long parsedMin; + long parsedMax; + try { + parsedMin = Long.parseLong(min); + parsedMax = Long.parseLong(max); + } catch (NumberFormatException e) { + throw new IllegalArgumentException("date range field domain bounds must be numeric long values", e); + } + if (parsedMin > parsedMax) { + throw new IllegalArgumentException("date range field domain min must be less than or equal to max"); + } + } + + private static String normalizeResolution(String resolution) { + if (resolution == null || resolution.isBlank()) { + throw new IllegalArgumentException("resolution must not be null or empty"); + } + + String configured = resolution.toLowerCase(Locale.ROOT); + for (DateFieldMapper.Resolution dateResolution : DateFieldMapper.Resolution.values()) { + if (dateResolution.name().toLowerCase(Locale.ROOT).equals(configured) || dateResolution.type().equals(configured)) { + return dateResolution.name().toLowerCase(Locale.ROOT); + } + } + throw new IllegalArgumentException("unsupported date range field domain resolution [" + resolution + "]"); + } +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomainParser.java b/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomainParser.java new file mode 100644 index 0000000000000..f68cd18263abb --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/DateRangeFieldDomainParser.java @@ -0,0 +1,108 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.Map; +import java.util.Optional; + +/** + * Reader and writer for {@link DateRangeFieldDomain} custom metadata. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class DateRangeFieldDomainParser implements FieldDomainParser { + private static final String KEY_MIN = "min"; + private static final String KEY_MAX = "max"; + private static final String KEY_FINALIZED = "finalized"; + private static final String KEY_SOURCE = "source"; + private static final String KEY_FORMAT = "format"; + private static final String KEY_RESOLUTION = "resolution"; + + /** + * Returns {@link DateRangeFieldDomain#TYPE}. + */ + @Override + public String type() { + return DateRangeFieldDomain.TYPE; + } + + /** + * Reads one field's date range bounds from a flat custom metadata map. + */ + @Override + public Optional fromCustomData(String field, Map customData, String prefix) { + String min = customData.get(prefix + KEY_MIN); + String max = customData.get(prefix + KEY_MAX); + String finalized = customData.get(prefix + KEY_FINALIZED); + String source = customData.get(prefix + KEY_SOURCE); + String format = customData.get(prefix + KEY_FORMAT); + String resolution = customData.get(prefix + KEY_RESOLUTION); + + if (min == null || max == null || finalized == null) { + return Optional.empty(); + } + + Optional parsedFinalized = parseBoolean(finalized); + if (parsedFinalized.isEmpty()) { + return Optional.empty(); + } + + try { + return Optional.of(new DateRangeFieldDomain(field, min, max, parsedFinalized.get(), source, format, resolution)); + } catch (RuntimeException e) { + return Optional.empty(); + } + } + + /** + * Writes date range bounds into a flat custom metadata map. + */ + @Override + public void writeToCustomData(DateRangeFieldDomain domain, Map targetCustomData, String prefix) { + targetCustomData.put(prefix + KEY_MIN, domain.min()); + targetCustomData.put(prefix + KEY_MAX, domain.max()); + targetCustomData.put(prefix + KEY_FINALIZED, Boolean.toString(domain.finalized())); + + if (domain.source() != null) { + targetCustomData.put(prefix + KEY_SOURCE, domain.source()); + } + if (domain.format() != null) { + targetCustomData.put(prefix + KEY_FORMAT, domain.format()); + } + if (domain.resolution() != null) { + targetCustomData.put(prefix + KEY_RESOLUTION, domain.resolution()); + } + } + + /** + * Removes all date range keys for a field prefix. + */ + @Override + public void removeFieldKeys(Map target, String prefix) { + target.remove(prefix + KEY_MIN); + target.remove(prefix + KEY_MAX); + target.remove(prefix + KEY_FINALIZED); + target.remove(prefix + KEY_SOURCE); + target.remove(prefix + KEY_FORMAT); + target.remove(prefix + KEY_RESOLUTION); + } + + private static Optional parseBoolean(String value) { + if ("true".equals(value)) { + return Optional.of(Boolean.TRUE); + } + if ("false".equals(value)) { + return Optional.of(Boolean.FALSE); + } + return Optional.empty(); + } +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/FieldDomain.java b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomain.java new file mode 100644 index 0000000000000..844d9ecddc327 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomain.java @@ -0,0 +1,43 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.common.annotation.ExperimentalApi; + +/** + * Index-level metadata describing the value domain of one field in one concrete index. + * + * A field domain is an index-side summary of values that documents in the index may contain for a field. For example, + * a date field domain can describe the minimum and maximum timestamp values present in the index, while a future term + * domain could describe a trusted set of known keyword values. + * + * The metadata is intentionally generic. Different OpenSearch features may use it for different purposes, such as + * routing decisions, request planning, or search optimizations. Implementations are type-specific, and consumers are + * responsible for interpreting only the domain types they understand. Incomplete, stale, unsupported, or untrusted + * domains must be treated conservatively by consumers. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface FieldDomain { + /** + * Field name this domain describes. + */ + String field(); + + /** + * Metadata type used to select the parser/evaluator implementation. + */ + String type(); + + /** + * Whether this domain is trusted as complete for consumers that require closed index-level value metadata. + */ + boolean finalized(); +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParser.java b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParser.java new file mode 100644 index 0000000000000..fe7cf8a2340ab --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParser.java @@ -0,0 +1,54 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.Map; +import java.util.Optional; + +/** + * Reader and writer for one {@link FieldDomain} metadata type. + * + * Implementations convert between typed field-domain objects and the flat {@code Map} stored in + * {@link org.opensearch.cluster.metadata.IndexMetadata} custom data. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface FieldDomainParser { + /** + * Metadata type handled by this parser. + */ + String type(); + + /** + * Reads a field domain from custom metadata. + * + * @param field field name being parsed + * @param customData full custom metadata map for {@code index_field_domains} + * @param prefix field-specific metadata prefix + * @return field domain when the metadata is complete and valid; otherwise empty + */ + Optional fromCustomData(String field, Map customData, String prefix); + + /** + * Writes a field domain into a target custom metadata map. + * + * @param domain domain to write + * @param targetCustomData target metadata map + * @param prefix field-specific metadata prefix + */ + void writeToCustomData(T domain, Map targetCustomData, String prefix); + + /** + * Removes keys owned by this parser for one field from a metadata map. + */ + void removeFieldKeys(Map target, String prefix); +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParserRegistry.java b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParserRegistry.java new file mode 100644 index 0000000000000..09e99f347079e --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainParserRegistry.java @@ -0,0 +1,145 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import java.util.Objects; +import java.util.Optional; + +/** + * Registry that maps field-domain metadata type names to parsers. + * + * The default registry currently contains only built-in parsers. Plugin registration for additional parser and evaluator + * implementations is not wired yet. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class FieldDomainParserRegistry { + + private static final FieldDomainParserRegistry DEFAULT = new FieldDomainParserRegistry( + List.of(entry(DateRangeFieldDomain.class, new DateRangeFieldDomainParser())) + ); + + private final Map> entries; + + /** + * Creates a registry from the supplied parser entries. + * + * @param entries parser entries keyed by their {@link FieldDomainParser#type()} + */ + public FieldDomainParserRegistry(List> entries) { + Objects.requireNonNull(entries, "entries must not be null"); + + Map> typeToParser = new LinkedHashMap<>(); + for (Entry entry : entries) { + Objects.requireNonNull(entry, "entry must not be null"); + Entry previous = typeToParser.put(entry.type(), entry); + if (previous != null) { + throw new IllegalArgumentException("field domain parser [" + entry.type() + "] is already registered"); + } + } + this.entries = Map.copyOf(typeToParser); + } + + /** + * Creates a typed parser entry for registration. + */ + public static Entry entry(Class domainClass, FieldDomainParser parser) { + return new Entry<>(domainClass, parser); + } + + /** + * Returns the built-in parser registry. + */ + public static FieldDomainParserRegistry defaultRegistry() { + return DEFAULT; + } + + /** + * Returns whether a parser is registered for a metadata type. + */ + public boolean contains(String type) { + return entries.containsKey(type); + } + + /** + * Reads field-domain metadata with the parser registered for the supplied type. + */ + public Optional fromCustomData(String type, String field, Map customData, String prefix) { + Entry entry = entries.get(type); + if (entry == null) { + return Optional.empty(); + } + return entry.fromCustomData(field, customData, prefix); + } + + /** + * Writes a field domain with the parser registered for its metadata type. + */ + public void writeToCustomData(FieldDomain domain, Map targetCustomData, String prefix) { + Objects.requireNonNull(domain, "domain must not be null"); + + Entry entry = entries.get(domain.type()); + if (entry == null) { + throw new IllegalArgumentException("unsupported field domain type [" + domain.type() + "]"); + } + entry.writeToCustomData(domain, targetCustomData, prefix); + } + + /** + * Removes all known parser-owned keys for a field prefix. + */ + public void removeFieldKeys(Map target, String prefix) { + for (Entry entry : entries.values()) { + entry.removeFieldKeys(target, prefix); + } + } + + /** + * Typed parser registration entry. + * + * @opensearch.experimental + */ + @ExperimentalApi + public static final class Entry { + private final Class domainClass; + private final FieldDomainParser parser; + + private Entry(Class domainClass, FieldDomainParser parser) { + this.domainClass = Objects.requireNonNull(domainClass, "domainClass must not be null"); + this.parser = Objects.requireNonNull(parser, "parser must not be null"); + } + + private String type() { + return parser.type(); + } + + private Optional fromCustomData(String field, Map customData, String prefix) { + return parser.fromCustomData(field, customData, prefix).map(FieldDomain.class::cast); + } + + private void writeToCustomData(FieldDomain domain, Map targetCustomData, String prefix) { + if (domainClass.isInstance(domain) == false) { + throw new IllegalArgumentException( + "field domain class [" + domain.getClass().getName() + "] is not supported by parser [" + type() + "]" + ); + } + parser.writeToCustomData(domainClass.cast(domain), targetCustomData, prefix); + } + + private void removeFieldKeys(Map target, String prefix) { + parser.removeFieldKeys(target, prefix); + } + } +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainProvider.java b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainProvider.java new file mode 100644 index 0000000000000..50d9b53f43d32 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/FieldDomainProvider.java @@ -0,0 +1,36 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.cluster.ClusterState; +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.Optional; + +/** + * Resolves index-level field domains for a concrete index from a metadata source. + * + * @opensearch.experimental + */ +@ExperimentalApi +public interface FieldDomainProvider { + + /** + * Returns field domains for the given concrete index and field. + * + * The {@code indexName} is resolved against the supplied {@link ClusterState}. Callers that need UUID-level identity + * guarantees must ensure the name refers to the intended concrete index in that same cluster state. + * + * @param clusterState cluster state visible to the coordinator + * @param indexName concrete index name + * @param field field name + * @return parsed domain when present and supported; otherwise empty + */ + Optional getDomain(ClusterState clusterState, String indexName, String field); +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadata.java b/server/src/main/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadata.java new file mode 100644 index 0000000000000..e3031af71e8a6 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadata.java @@ -0,0 +1,124 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.annotation.ExperimentalApi; + +import java.util.HashMap; +import java.util.Map; +import java.util.Objects; +import java.util.Optional; + +/** + * Codec for the {@code index_field_domains} index custom metadata. + * + * The metadata is stored as a flat {@code Map} under {@link IndexMetadata#getCustomData(String)}. + * This class is the single place that translates between that wire shape and typed {@link FieldDomain} objects. + * + * @opensearch.experimental + */ +@ExperimentalApi +public final class IndexFieldDomainMetadata { + /** + * Custom metadata key used on {@link IndexMetadata}. + */ + public static final String CUSTOM_KEY = "index_field_domains"; + + private static final IndexFieldDomainMetadata INSTANCE = new IndexFieldDomainMetadata(); + + private static final String FIELDS_PREFIX = "fields."; + private static final String KEY_TYPE = "type"; + + private final FieldDomainParserRegistry parserRegistry; + + private IndexFieldDomainMetadata() { + this(FieldDomainParserRegistry.defaultRegistry()); + } + + IndexFieldDomainMetadata(FieldDomainParserRegistry parserRegistry) { + this.parserRegistry = Objects.requireNonNull(parserRegistry, "parserRegistry must not be null"); + } + + /** + * Returns the built-in metadata codec. + */ + public static IndexFieldDomainMetadata getInstance() { + return INSTANCE; + } + + /** + * Parses field domains for a single field from index custom metadata. + * + * This method is intentionally lenient for search-time consumers: missing, malformed, or unsupported metadata for + * the requested field returns {@link Optional#empty()} so callers can fall back to conservative behavior. + * + * @param customData custom metadata map stored under {@link #CUSTOM_KEY} + * @param field field name to parse + * @return parsed domain when metadata is present, complete, and supported; otherwise empty + */ + public Optional fromCustomData(Map customData, String field) { + if (customData == null || customData.isEmpty() || field == null || field.isEmpty()) { + return Optional.empty(); + } + + String prefix = fieldPrefix(field); + String type = customData.get(prefix + KEY_TYPE); + if (type == null || type.isEmpty()) { + return Optional.empty(); + } + + return parserRegistry.fromCustomData(type, field, customData, prefix); + } + + /** + * Encodes one field-domain object into a custom metadata map containing only that field. + */ + public Map toCustomData(FieldDomain domain) { + Objects.requireNonNull(domain, "domain must not be null"); + + Map customData = new HashMap<>(); + String prefix = fieldPrefix(domain.field()); + customData.put(prefix + KEY_TYPE, domain.type()); + parserRegistry.writeToCustomData(domain, customData, prefix); + return Map.copyOf(customData); + } + + /** + * Returns updated index metadata with the supplied field domain inserted under {@link #CUSTOM_KEY}. + * + * Existing metadata for other fields is preserved. Existing metadata for the same field and known parser keys is + * replaced so stale values do not survive type changes. + */ + public IndexMetadata putFieldDomain(IndexMetadata metadata, FieldDomain domain) { + Objects.requireNonNull(metadata, "metadata must not be null"); + Objects.requireNonNull(domain, "domain must not be null"); + + Map existing = metadata.getCustomData(CUSTOM_KEY); + Map updated = existing == null ? new HashMap<>() : new HashMap<>(existing); + + String prefix = fieldPrefix(domain.field()); + removeKnownFieldKeys(updated, prefix); + updated.putAll(toCustomData(domain)); + + return IndexMetadata.builder(metadata).putCustom(CUSTOM_KEY, updated).build(); + } + + private void removeKnownFieldKeys(Map target, String prefix) { + target.remove(prefix + KEY_TYPE); + parserRegistry.removeFieldKeys(target, prefix); + } + + private static String fieldPrefix(String field) { + if (field == null || field.isEmpty()) { + throw new IllegalArgumentException("field must not be null or empty"); + } + return FIELDS_PREFIX + field + "."; + } +} diff --git a/server/src/main/java/org/opensearch/index/fielddomain/package-info.java b/server/src/main/java/org/opensearch/index/fielddomain/package-info.java new file mode 100644 index 0000000000000..1fdac7cd01f89 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/fielddomain/package-info.java @@ -0,0 +1,10 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +/** Index-level field-domain metadata and codecs. */ +package org.opensearch.index.fielddomain; diff --git a/server/src/test/java/org/opensearch/action/search/CanMatchPreFilterSearchPhaseTests.java b/server/src/test/java/org/opensearch/action/search/CanMatchPreFilterSearchPhaseTests.java index bb51aeaeee9dd..0b44bbe505638 100644 --- a/server/src/test/java/org/opensearch/action/search/CanMatchPreFilterSearchPhaseTests.java +++ b/server/src/test/java/org/opensearch/action/search/CanMatchPreFilterSearchPhaseTests.java @@ -192,6 +192,166 @@ public void run() throws IOException { } } + public void testSkippedShardGroupsAreNotSentToCanMatch() throws InterruptedException { + final TransportSearchAction.SearchTimeProvider timeProvider = new TransportSearchAction.SearchTimeProvider( + 0, + System.nanoTime(), + System::nanoTime + ); + + Map lookup = new ConcurrentHashMap<>(); + DiscoveryNode primaryNode = new DiscoveryNode("node_1", buildNewFakeTransportAddress(), Version.CURRENT); + DiscoveryNode replicaNode = new DiscoveryNode("node_2", buildNewFakeTransportAddress(), Version.CURRENT); + lookup.put("node1", new SearchAsyncActionTests.MockConnection(primaryNode)); + lookup.put("node2", new SearchAsyncActionTests.MockConnection(replicaNode)); + + List canMatchShardIds = Collections.synchronizedList(new ArrayList<>()); + SearchTransportService searchTransportService = new SearchTransportService(null, null) { + @Override + public void sendCanMatch( + Transport.Connection connection, + ShardSearchRequest request, + SearchTask task, + ActionListener listener + ) { + canMatchShardIds.add(request.shardId().id()); + listener.onResponse(new SearchService.CanMatchResponse(true, null)); + } + }; + + AtomicReference> result = new AtomicReference<>(); + CountDownLatch latch = new CountDownLatch(1); + GroupShardsIterator shardsIter = SearchAsyncActionTests.getShardsIter( + "idx", + new OriginalIndices(new String[] { "idx" }, SearchRequest.DEFAULT_INDICES_OPTIONS), + 2, + randomBoolean(), + primaryNode, + replicaNode + ); + shardsIter.get(0).resetAndSkip(); + + final SearchRequest searchRequest = new SearchRequest(); + searchRequest.allowPartialSearchResults(true); + + final SearchRequestOperationsListener searchRequestOperationsListener = new SearchRequestOperationsListener.CompositeListener( + List.of(assertingListener), + LogManager.getLogger() + ); + CanMatchPreFilterSearchPhase canMatchPhase = new CanMatchPreFilterSearchPhase( + logger, + searchTransportService, + (clusterAlias, node) -> lookup.get(node), + Collections.singletonMap("_na_", new AliasFilter(null, Strings.EMPTY_ARRAY)), + Collections.emptyMap(), + Collections.emptyMap(), + OpenSearchExecutors.newDirectExecutorService(), + searchRequest, + null, + shardsIter, + timeProvider, + ClusterState.EMPTY_STATE, + null, + (iter) -> new SearchPhase("test") { + @Override + public void run() throws IOException { + result.set(iter); + searchRequestOperationsListener.onPhaseEnd(new MockSearchPhaseContext(1, searchRequest, this), null); + latch.countDown(); + } + }, + SearchResponse.Clusters.EMPTY, + new SearchRequestContext(searchRequestOperationsListener, searchRequest, () -> null), + NoopTracer.INSTANCE + ); + + canMatchPhase.start(); + latch.await(); + + assertThat(canMatchShardIds, equalTo(List.of(1))); + assertTrue(result.get().get(0).skip()); + assertFalse(result.get().get(1).skip()); + } + + public void testAllSkippedShardGroupsAreNotSentToCanMatch() throws InterruptedException { + final TransportSearchAction.SearchTimeProvider timeProvider = new TransportSearchAction.SearchTimeProvider( + 0, + System.nanoTime(), + System::nanoTime + ); + + Map lookup = new ConcurrentHashMap<>(); + DiscoveryNode primaryNode = new DiscoveryNode("node_1", buildNewFakeTransportAddress(), Version.CURRENT); + DiscoveryNode replicaNode = new DiscoveryNode("node_2", buildNewFakeTransportAddress(), Version.CURRENT); + lookup.put("node1", new SearchAsyncActionTests.MockConnection(primaryNode)); + lookup.put("node2", new SearchAsyncActionTests.MockConnection(replicaNode)); + + SearchTransportService searchTransportService = new SearchTransportService(null, null) { + @Override + public void sendCanMatch( + Transport.Connection connection, + ShardSearchRequest request, + SearchTask task, + ActionListener listener + ) { + fail("can_match should not be sent to skipped shard groups"); + } + }; + + AtomicReference> result = new AtomicReference<>(); + CountDownLatch latch = new CountDownLatch(1); + GroupShardsIterator shardsIter = SearchAsyncActionTests.getShardsIter( + "idx", + new OriginalIndices(new String[] { "idx" }, SearchRequest.DEFAULT_INDICES_OPTIONS), + 2, + randomBoolean(), + primaryNode, + replicaNode + ); + shardsIter.get(0).resetAndSkip(); + shardsIter.get(1).resetAndSkip(); + + final SearchRequest searchRequest = new SearchRequest(); + searchRequest.allowPartialSearchResults(true); + + final SearchRequestOperationsListener searchRequestOperationsListener = new SearchRequestOperationsListener.CompositeListener( + List.of(assertingListener), + LogManager.getLogger() + ); + CanMatchPreFilterSearchPhase canMatchPhase = new CanMatchPreFilterSearchPhase( + logger, + searchTransportService, + (clusterAlias, node) -> lookup.get(node), + Collections.singletonMap("_na_", new AliasFilter(null, Strings.EMPTY_ARRAY)), + Collections.emptyMap(), + Collections.emptyMap(), + OpenSearchExecutors.newDirectExecutorService(), + searchRequest, + null, + shardsIter, + timeProvider, + ClusterState.EMPTY_STATE, + null, + (iter) -> new SearchPhase("test") { + @Override + public void run() throws IOException { + result.set(iter); + searchRequestOperationsListener.onPhaseEnd(new MockSearchPhaseContext(1, searchRequest, this), null); + latch.countDown(); + } + }, + SearchResponse.Clusters.EMPTY, + new SearchRequestContext(searchRequestOperationsListener, searchRequest, () -> null), + NoopTracer.INSTANCE + ); + + canMatchPhase.start(); + latch.await(); + + assertTrue(result.get().get(0).skip()); + assertTrue(result.get().get(1).skip()); + } + public void testFilterWithFailure() throws InterruptedException { final TransportSearchAction.SearchTimeProvider timeProvider = new TransportSearchAction.SearchTimeProvider( 0, diff --git a/server/src/test/java/org/opensearch/action/search/SearchIndexPruningServiceTests.java b/server/src/test/java/org/opensearch/action/search/SearchIndexPruningServiceTests.java new file mode 100644 index 0000000000000..8626ce06356f2 --- /dev/null +++ b/server/src/test/java/org/opensearch/action/search/SearchIndexPruningServiceTests.java @@ -0,0 +1,452 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search; + +import org.opensearch.Version; +import org.opensearch.action.OriginalIndices; +import org.opensearch.action.search.pruning.FieldDomainEvaluationContext; +import org.opensearch.action.search.pruning.FieldDomainEvaluators; +import org.opensearch.action.search.pruning.QueryConstraint; +import org.opensearch.action.search.pruning.QueryConstraintExtractor; +import org.opensearch.action.search.pruning.SearchIndexPruningResult; +import org.opensearch.action.search.pruning.SearchIndexPruningSettings; +import org.opensearch.cluster.ClusterName; +import org.opensearch.cluster.ClusterState; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.cluster.metadata.Metadata; +import org.opensearch.cluster.routing.GroupShardsIterator; +import org.opensearch.common.settings.ClusterSettings; +import org.opensearch.common.settings.Setting; +import org.opensearch.common.settings.Settings; +import org.opensearch.core.index.shard.ShardId; +import org.opensearch.index.fielddomain.ClusterStateFieldDomainProvider; +import org.opensearch.index.fielddomain.DateRangeFieldDomain; +import org.opensearch.index.fielddomain.FieldDomain; +import org.opensearch.index.fielddomain.FieldDomainProvider; +import org.opensearch.index.fielddomain.IndexFieldDomainMetadata; +import org.opensearch.index.query.QueryBuilders; +import org.opensearch.search.builder.PointInTimeBuilder; +import org.opensearch.search.builder.SearchSourceBuilder; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.Set; +import java.util.concurrent.atomic.AtomicInteger; + +import static org.hamcrest.Matchers.equalTo; + +public class SearchIndexPruningServiceTests extends OpenSearchTestCase { + private static final String FIELD = "field_a"; + + public void testPrunesOnlyProvablyDisjointLocalShardGroups() { + SearchShardIterator oldIndex = shardIterator("logs-000001", 0); + SearchShardIterator matchingIndex = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(oldIndex, matchingIndex)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.of(domain(false)), "logs-000002", Optional.of(domain(true))) + ); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertTrue(result.pruned()); + assertThat(result.originalShardGroups(), equalTo(2)); + assertThat(result.prunedShardGroups(), equalTo(1)); + assertTrue(result.isPrunedShardGroup(0)); + assertFalse(result.isPrunedShardGroup(1)); + assertFalse(oldIndex.skip()); + assertFalse(matchingIndex.skip()); + + applyPruningResult(result); + + assertTrue(oldIndex.skip()); + assertFalse(matchingIndex.skip()); + } + + public void testKeepsShardGroupsWhenDomainIsMissingOrUnfinalized() { + SearchShardIterator missingMetadata = shardIterator("logs-000001", 0); + SearchShardIterator unfinalizedDomain = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(missingMetadata, unfinalizedDomain)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.empty(), "logs-000002", Optional.of(domain(false, false))) + ); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertFalse(result.pruned()); + assertFalse(missingMetadata.skip()); + assertFalse(unfinalizedDomain.skip()); + } + + public void testKeepsRemoteShardGroups() { + SearchShardIterator remoteIndex = shardIterator("remote-cluster", "logs-000001", 0); + SearchShardIterator localIndex = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(remoteIndex, localIndex)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.of(domain(false)), "logs-000002", Optional.of(domain(false))) + ); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertTrue(result.pruned()); + assertFalse(result.isPrunedShardGroup(0)); + assertTrue(result.isPrunedShardGroup(1)); + assertFalse(remoteIndex.skip()); + assertFalse(localIndex.skip()); + } + + public void testPruneIsFailOpenWhenDomainProviderThrows() { + AtomicInteger lookups = new AtomicInteger(); + FieldDomainProvider provider = (clusterState, indexName, field) -> { + lookups.incrementAndGet(); + throw new IllegalStateException("exception"); + }; + SearchIndexPruningService service = new SearchIndexPruningService( + clusterSettings(), + provider, + genericConstraintExtractor(), + genericEvaluators() + ); + + SearchShardIterator shardIterator = shardIterator("logs-000001", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(shardIterator)); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertThat(lookups.get(), equalTo(1)); + assertFalse(result.pruned()); + assertThat(result.originalShardGroups(), equalTo(1)); + assertFalse(shardIterator.skip()); + } + + public void testFallsBackWhenAllShardGroupsWouldBePruned() { + SearchShardIterator first = shardIterator("logs-000001", 0); + SearchShardIterator second = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(first, second)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.of(domain(false)), "logs-000002", Optional.of(domain(false))) + ); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertFalse(result.pruned()); + assertThat(result.prunedShardGroups(), equalTo(0)); + assertFalse(first.skip()); + assertFalse(second.skip()); + } + + public void testFallsBackWhenAllActiveShardGroupsWouldBePrunedAndPreservesExistingSkips() { + SearchShardIterator alreadySkipped = shardIterator("logs-000001", 0); + SearchShardIterator activeCandidate = shardIterator("logs-000002", 0); + alreadySkipped.resetAndSkip(); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(alreadySkipped, activeCandidate)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.empty(), "logs-000002", Optional.of(domain(false))) + ); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertFalse(result.pruned()); + assertThat(result.prunedShardGroups(), equalTo(0)); + assertTrue(alreadySkipped.skip()); + assertFalse(activeCandidate.skip()); + } + + public void testDoesNotPrunePointInTimeSearches() { + SearchShardIterator oldIndex = shardIterator("logs-000001", 0); + SearchShardIterator matchingIndex = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(oldIndex, matchingIndex)); + SearchIndexPruningService service = serviceWithDomains( + Map.of("logs-000001", Optional.of(domain(false)), "logs-000002", Optional.of(domain(true))) + ); + + SearchRequest request = searchRequest(); + request.source().pointInTimeBuilder(new PointInTimeBuilder("pit-id")); + + SearchIndexPruningResult result = service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertFalse(result.pruned()); + assertFalse(oldIndex.skip()); + assertFalse(matchingIndex.skip()); + } + + public void testPruningSettingsAreRegisteredAsBuiltInClusterSettings() { + assertTrue(ClusterSettings.BUILT_IN_CLUSTER_SETTINGS.containsAll(SearchIndexPruningSettings.getSettings())); + } + + public void testAppliesDynamicPruningSettingsAsConsistentConfigSnapshot() { + ClusterSettings clusterSettings = clusterSettings(Settings.EMPTY); + SearchIndexPruningService service = serviceWithDomains( + clusterSettings, + Map.of("logs-000001", Optional.of(domain(false)), "logs-000002", Optional.of(domain(true))) + ); + + GroupShardsIterator shardIterators = new GroupShardsIterator<>( + List.of(shardIterator("logs-000001", 0), shardIterator("logs-000002", 0)) + ); + SearchRequest request = searchRequest(); + + assertFalse(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).pruned()); + + clusterSettings.applySettings(pruningSettings(true, 1, FIELD)); + assertTrue(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).isPrunedShardGroup(0)); + + clusterSettings.applySettings(pruningSettings(false, 1, FIELD)); + assertFalse(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).pruned()); + + clusterSettings.applySettings(pruningSettings(true, 1, "event.ingested")); + assertFalse(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).pruned()); + + clusterSettings.applySettings(pruningSettings(true, 3, FIELD)); + assertFalse(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).pruned()); + + clusterSettings.applySettings(pruningSettings(true, 1, FIELD)); + assertTrue(service.prune(request, shardIterators, ClusterState.EMPTY_STATE, evaluationContext()).isPrunedShardGroup(0)); + } + + public void testMinShardThresholdUsesActiveShardGroups() { + AtomicInteger lookups = new AtomicInteger(); + FieldDomainProvider provider = (clusterState, indexName, field) -> { + lookups.incrementAndGet(); + return Optional.of(domain(false)); + }; + SearchIndexPruningService service = new SearchIndexPruningService( + clusterSettings(pruningSettings(true, 2, FIELD)), + provider, + genericConstraintExtractor(), + genericEvaluators() + ); + + SearchShardIterator alreadySkipped = shardIterator("logs-000001", 0); + SearchShardIterator activeCandidate = shardIterator("logs-000002", 0); + alreadySkipped.resetAndSkip(); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(alreadySkipped, activeCandidate)); + + SearchIndexPruningResult result = service.prune(searchRequest(), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertFalse(result.pruned()); + assertThat(lookups.get(), equalTo(0)); + } + + public void testCachesBoundsLookupPerIndexAndFieldDuringSinglePruningPass() { + AtomicInteger lookups = new AtomicInteger(); + FieldDomainProvider provider = (clusterState, indexName, field) -> { + lookups.incrementAndGet(); + return Optional.of(new TestFieldDomain(field)); + }; + QueryConstraintExtractor extractor = (source, fields) -> List.of(new TestQueryConstraint(FIELD)); + FieldDomainEvaluators evaluators = new FieldDomainEvaluators(List.of((bounds, constraint, context) -> false)); + SearchIndexPruningService service = new SearchIndexPruningService(clusterSettings(), provider, extractor, evaluators); + + GroupShardsIterator shardIterators = new GroupShardsIterator<>( + List.of(shardIterator("logs-000001", 0), shardIterator("logs-000001", 1)) + ); + + service.prune(new SearchRequest().source(new SearchSourceBuilder()), shardIterators, ClusterState.EMPTY_STATE, evaluationContext()); + + assertThat(lookups.get(), equalTo(1)); + } + + public void testWiresDateRangeMetadataFromClusterStateProvider() { + SearchIndexPruningService service = new SearchIndexPruningService(dateClusterSettings(), new ClusterStateFieldDomainProvider()); + + SearchShardIterator oldIndex = shardIterator("logs-000001", 0); + SearchShardIterator matchingIndex = shardIterator("logs-000002", 0); + GroupShardsIterator shardIterators = new GroupShardsIterator<>(List.of(oldIndex, matchingIndex)); + + ClusterState clusterState = clusterState( + indexMetadata("logs-000001", new DateRangeFieldDomain("@timestamp", 100L, 200L, true, "test")), + indexMetadata("logs-000002", new DateRangeFieldDomain("@timestamp", 350L, 450L, true, "test")) + ); + + SearchIndexPruningResult result = service.prune( + dateRangeSearchRequest(300L, 400L), + shardIterators, + clusterState, + evaluationContext() + ); + + assertTrue(result.pruned()); + assertTrue(result.isPrunedShardGroup(0)); + assertFalse(result.isPrunedShardGroup(1)); + } + + private static SearchRequest searchRequest() { + return new SearchRequest().source(new SearchSourceBuilder()); + } + + private static SearchRequest dateRangeSearchRequest(long from, long to) { + return new SearchRequest().source(new SearchSourceBuilder().query(QueryBuilders.rangeQuery("@timestamp").gte(from).lte(to))); + } + + private static FieldDomainEvaluationContext evaluationContext() { + return new FieldDomainEvaluationContext(() -> 0L); + } + + private static ClusterSettings clusterSettings() { + Settings settings = Settings.builder() + .put(SearchIndexPruningSettings.ENABLED.getKey(), true) + .put(SearchIndexPruningSettings.MIN_SHARDS.getKey(), 1) + .putList(SearchIndexPruningSettings.FIELDS.getKey(), FIELD) + .build(); + return clusterSettings(settings); + } + + private static ClusterSettings dateClusterSettings() { + Settings settings = Settings.builder() + .put(SearchIndexPruningSettings.ENABLED.getKey(), true) + .put(SearchIndexPruningSettings.MIN_SHARDS.getKey(), 1) + .putList(SearchIndexPruningSettings.FIELDS.getKey(), "@timestamp") + .build(); + return clusterSettings(settings); + } + + private static ClusterSettings clusterSettings(Settings settings) { + Set> builtInSettings = Set.copyOf(SearchIndexPruningSettings.getSettings()); + return new ClusterSettings(settings, builtInSettings); + } + + private static Settings pruningSettings(boolean enabled, int minShards, String... fields) { + return Settings.builder() + .put(SearchIndexPruningSettings.ENABLED.getKey(), enabled) + .put(SearchIndexPruningSettings.MIN_SHARDS.getKey(), minShards) + .putList(SearchIndexPruningSettings.FIELDS.getKey(), fields) + .build(); + } + + private static ClusterState clusterState(IndexMetadata... indexMetadata) { + Metadata.Builder metadata = Metadata.builder(); + for (IndexMetadata metadataEntry : indexMetadata) { + metadata.put(metadataEntry, false); + } + return ClusterState.builder(ClusterName.DEFAULT).metadata(metadata).build(); + } + + private static IndexMetadata indexMetadata(String index, DateRangeFieldDomain domain) { + return IndexFieldDomainMetadata.getInstance().putFieldDomain(plainIndexMetadata(index), domain); + } + + private static IndexMetadata plainIndexMetadata(String index) { + return indexMetadataBuilder(index).build(); + } + + private static IndexMetadata.Builder indexMetadataBuilder(String index) { + return IndexMetadata.builder(index) + .settings( + Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(IndexMetadata.SETTING_INDEX_UUID, "_na_") + .build() + ) + .numberOfShards(1) + .numberOfReplicas(0); + } + + private static SearchShardIterator shardIterator(String index, int shardId) { + return shardIterator(null, index, shardId); + } + + private static SearchShardIterator shardIterator(String clusterAlias, String index, int shardId) { + return new SearchShardIterator( + clusterAlias, + new ShardId(index, "_na_", shardId), + List.of("node-1"), + OriginalIndices.NONE, + null, + null + ); + } + + private static void applyPruningResult(SearchIndexPruningResult pruningResult) { + for (int shardGroupIndex = 0; shardGroupIndex < pruningResult.originalShardGroups(); shardGroupIndex++) { + if (pruningResult.isPrunedShardGroup(shardGroupIndex)) { + pruningResult.shardIterators().get(shardGroupIndex).resetAndSkip(); + } + } + } + + private static SearchIndexPruningService serviceWithDomains(Map> domainsByIndex) { + return serviceWithDomains(clusterSettings(), domainsByIndex); + } + + private static SearchIndexPruningService serviceWithDomains( + ClusterSettings clusterSettings, + Map> domainsByIndex + ) { + FieldDomainProvider provider = (clusterState, indexName, field) -> domainsByIndex.getOrDefault(indexName, Optional.empty()); + return new SearchIndexPruningService(clusterSettings, provider, genericConstraintExtractor(), genericEvaluators()); + } + + private static QueryConstraintExtractor genericConstraintExtractor() { + return (source, fields) -> fields.contains(FIELD) ? List.of(new TestQueryConstraint(FIELD)) : List.of(); + } + + private static FieldDomainEvaluators genericEvaluators() { + return new FieldDomainEvaluators( + List.of((domain, constraint, context) -> domain instanceof TestFieldDomain ? ((TestFieldDomain) domain).canMatch() : true) + ); + } + + private static TestFieldDomain domain(boolean canMatch) { + return domain(true, canMatch); + } + + private static TestFieldDomain domain(boolean finalized, boolean canMatch) { + return new TestFieldDomain(FIELD, finalized, canMatch); + } + + private static final class TestQueryConstraint implements QueryConstraint { + private final String field; + + private TestQueryConstraint(String field) { + this.field = field; + } + + @Override + public String field() { + return field; + } + } + + private static final class TestFieldDomain implements FieldDomain { + private final String field; + private final boolean finalized; + private final boolean canMatch; + + private TestFieldDomain(String field) { + this(field, true, true); + } + + private TestFieldDomain(String field, boolean finalized, boolean canMatch) { + this.field = field; + this.finalized = finalized; + this.canMatch = canMatch; + } + + @Override + public String field() { + return field; + } + + @Override + public String type() { + return "test"; + } + + @Override + public boolean finalized() { + return finalized; + } + + private boolean canMatch() { + return canMatch; + } + } +} diff --git a/server/src/test/java/org/opensearch/action/search/TransportSearchActionTests.java b/server/src/test/java/org/opensearch/action/search/TransportSearchActionTests.java index 74ac72aedbf2d..e1f515d9f5c19 100644 --- a/server/src/test/java/org/opensearch/action/search/TransportSearchActionTests.java +++ b/server/src/test/java/org/opensearch/action/search/TransportSearchActionTests.java @@ -59,6 +59,7 @@ import org.opensearch.cluster.service.ClusterService; import org.opensearch.common.SetOnce; import org.opensearch.common.collect.Tuple; +import org.opensearch.common.settings.ClusterSettings; import org.opensearch.common.settings.Settings; import org.opensearch.common.util.concurrent.ThreadContext; import org.opensearch.core.action.ActionListener; @@ -1206,6 +1207,9 @@ public void testResolveIndices() { ClusterService clusterService = mock(ClusterService.class); when(clusterService.state()).thenReturn(clusterState); + when(clusterService.getClusterSettings()).thenReturn( + new ClusterSettings(Settings.EMPTY, ClusterSettings.BUILT_IN_CLUSTER_SETTINGS) + ); IndexNameExpressionResolver indexNameExpressionResolver = new IndexNameExpressionResolver(new ThreadContext(Settings.EMPTY)); NamedWriteableRegistry namedWriteableRegistry = new NamedWriteableRegistry( Arrays.asList( diff --git a/server/src/test/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluatorTests.java b/server/src/test/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluatorTests.java new file mode 100644 index 0000000000000..856103c52d7da --- /dev/null +++ b/server/src/test/java/org/opensearch/action/search/pruning/DateRangeFieldDomainEvaluatorTests.java @@ -0,0 +1,250 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.common.geo.ShapeRelation; +import org.opensearch.index.fielddomain.DateRangeFieldDomain; +import org.opensearch.index.fielddomain.FieldDomain; +import org.opensearch.test.OpenSearchTestCase; + +public class DateRangeFieldDomainEvaluatorTests extends OpenSearchTestCase { + private final FieldDomainEvaluators evaluators = FieldDomainEvaluators.defaultEvaluators(); + private final FieldDomainEvaluationContext context = new FieldDomainEvaluationContext(() -> 0L); + + public void testCanMatchReturnsFalseForDisjointDateRanges() { + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(300L, 400L, true, true), context)); + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(200L, 400L, false, true), context)); + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(null, 99L, true, true), context)); + } + + public void testCanMatchReturnsTrueForIntersectingDateRanges() { + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint(50L, 100L, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint(200L, 300L, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint(150L, 250L, true, true), context)); + } + + public void testCanMatchHandlesOpenEndedDateRanges() { + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(201L, null, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint(200L, null, true, true), context)); + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(null, 99L, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint(null, 100L, true, true), context)); + } + + public void testCanMatchHonorsInclusiveAndExclusiveDateRangeBoundaries() { + RangeQueryConstraint lowerInclusive = constraint("1970-01-01T00:00:02Z", "1970-01-01T00:00:03Z", true, true); + RangeQueryConstraint lowerExclusive = constraint("1970-01-01T00:00:02Z", "1970-01-01T00:00:03Z", false, true); + RangeQueryConstraint upperInclusive = constraint("1970-01-01T00:00:00Z", "1970-01-01T00:00:01Z", true, true); + RangeQueryConstraint upperExclusive = constraint("1970-01-01T00:00:00Z", "1970-01-01T00:00:01Z", true, false); + + assertTrue(evaluators.canMatch(bounds(1_000L, 2_000L, true), lowerInclusive, context)); + assertFalse(evaluators.canMatch(bounds(1_000L, 2_000L, true), lowerExclusive, context)); + assertTrue(evaluators.canMatch(bounds(1_000L, 2_000L, true), upperInclusive, context)); + assertFalse(evaluators.canMatch(bounds(1_000L, 2_000L, true), upperExclusive, context)); + } + + public void testCanMatchHandlesSinglePointDateRanges() { + assertTrue(evaluators.canMatch(bounds(100L, 100L, true), constraint(100L, 100L, true, true), context)); + assertFalse(evaluators.canMatch(bounds(100L, 100L, true), constraint(100L, 100L, false, true), context)); + assertFalse(evaluators.canMatch(bounds(100L, 100L, true), constraint(100L, 100L, true, false), context)); + } + + public void testCanMatchReturnsFalseForEmptyQueryRange() { + assertFalse(evaluators.canMatch(bounds(100L, 200L, true), constraint(100L, 101L, false, false), context)); + } + + public void testCanMatchParsesIsoDateRangeConstraints() { + RangeQueryConstraint query = constraint("1970-01-01T00:00:03Z", "1970-01-01T00:00:04Z", true, true); + + assertFalse(evaluators.canMatch(bounds(1_000L, 2_000L, true), query, context)); + assertTrue(evaluators.canMatch(bounds(3_000L, 4_000L, true), query, context)); + } + + public void testCanMatchParsesDateMathUsingSearchStartTime() { + FieldDomainEvaluationContext searchStartContext = new FieldDomainEvaluationContext(() -> 10_000L); + RangeQueryConstraint query = constraint("now-2m", "now", true, true); + + assertTrue(evaluators.canMatch(bounds(0L, 9_000L, true), query, searchStartContext)); + assertFalse(evaluators.canMatch(bounds(11_000L, 12_000L, true), query, searchStartContext)); + } + + public void testCanMatchParsesQueryTimeZone() { + RangeQueryConstraint query = constraint("@timestamp", "1970-01-01", null, true, true, null, "+01:00", null); + + assertTrue(evaluators.canMatch(bounds(-3_600_000L, -3_600_000L, true), query, context)); + assertFalse(evaluators.canMatch(bounds(-3_600_001L, -3_600_001L, true), query, context)); + } + + public void testCanMatchParsesPartialDateRangeConstraints() { + RangeQueryConstraint query = constraint("1970-01-01", "1970-01-02", true, false); + + assertTrue(evaluators.canMatch(bounds(0L, 86_399_999L, true), query, context)); + assertFalse(evaluators.canMatch(bounds(86_400_000L, 172_799_999L, true), query, context)); + } + + public void testCanMatchHonorsPartialDateRoundingForInclusivity() { + RangeQueryConstraint lowerInclusive = constraint("1970-01-01", null, true, true); + RangeQueryConstraint lowerExclusive = constraint("1970-01-01", null, false, true); + RangeQueryConstraint upperInclusive = constraint(null, "1970-01-01", true, true); + RangeQueryConstraint upperExclusive = constraint(null, "1970-01-01", true, false); + + assertTrue(evaluators.canMatch(bounds(0L, 0L, true), lowerInclusive, context)); + assertFalse(evaluators.canMatch(bounds(-1L, -1L, true), lowerInclusive, context)); + + assertFalse(evaluators.canMatch(bounds(86_399_999L, 86_399_999L, true), lowerExclusive, context)); + assertTrue(evaluators.canMatch(bounds(86_400_000L, 86_400_000L, true), lowerExclusive, context)); + + assertTrue(evaluators.canMatch(bounds(86_399_999L, 86_399_999L, true), upperInclusive, context)); + assertFalse(evaluators.canMatch(bounds(86_400_000L, 86_400_000L, true), upperInclusive, context)); + + assertTrue(evaluators.canMatch(bounds(-1L, -1L, true), upperExclusive, context)); + assertFalse(evaluators.canMatch(bounds(0L, 0L, true), upperExclusive, context)); + } + + public void testCanMatchParsesDateNanosBounds() { + RangeQueryConstraint query = constraint("1970-01-01T00:00:03Z", "1970-01-01T00:00:04Z", true, true); + + assertFalse( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "1000000000", "2000000000", true, "test", null, "nanoseconds"), + query, + context + ) + ); + assertTrue( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "3000000000", "4000000000", true, "test", null, "nanoseconds"), + query, + context + ) + ); + } + + public void testCanMatchParsesDateNanosResolutionTypeCaseInsensitively() { + RangeQueryConstraint query = constraint("1970-01-01T00:00:03Z", "1970-01-01T00:00:04Z", true, true); + + assertFalse( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "1000000000", "2000000000", true, "test", null, "DATE_NANOS"), + query, + context + ) + ); + } + + public void testCanMatchHonorsDateNanosBoundaryTouch() { + RangeQueryConstraint inclusive = constraint("1970-01-01T00:00:02Z", "1970-01-01T00:00:03Z", true, true); + RangeQueryConstraint exclusive = constraint("1970-01-01T00:00:02Z", "1970-01-01T00:00:03Z", false, true); + DateRangeFieldDomain domain = new DateRangeFieldDomain("@timestamp", "2000000000", "2000000000", true, "test", null, "nanoseconds"); + + assertTrue(evaluators.canMatch(domain, inclusive, context)); + assertFalse(evaluators.canMatch(domain, exclusive, context)); + } + + public void testCanMatchParsesCustomMetadataFormat() { + RangeQueryConstraint query = constraint("1970/01/01", "1970/01/02", true, false); + + assertTrue( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "0", "86399999", true, "test", "yyyy/MM/dd", "milliseconds"), + query, + context + ) + ); + assertFalse( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "86400000", "172799999", true, "test", "yyyy/MM/dd", "milliseconds"), + query, + context + ) + ); + } + + public void testCanMatchUsesQueryFormatOverMetadataFormat() { + RangeQueryConstraint query = constraint("@timestamp", "1970|01|01", null, true, true, "yyyy|MM|dd", null, null); + + assertFalse( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "-1", "-1", true, "test", "yyyy/MM/dd", "milliseconds"), + query, + context + ) + ); + } + + public void testCanMatchReturnsTrueWhenEvaluationIsUnsupportedOrUnsafe() { + assertTrue(evaluators.canMatch(bounds(100L, 200L, false), constraint(300L, 400L, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint("not-a-date", "1970-01-01T00:00:02Z", true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint("now--", "now", true, true), context)); + assertTrue( + evaluators.canMatch( + new DateRangeFieldDomain("@timestamp", "100", "200", true, "test", "[", "milliseconds"), + constraint(300L, 400L, true, true), + context + ) + ); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), constraint("other_field", 300L, 400L, true, true), context)); + assertTrue(evaluators.canMatch(new UnsupportedFieldDomain("@timestamp"), constraint(300L, 400L, true, true), context)); + assertTrue(evaluators.canMatch(bounds(100L, 200L, true), (QueryConstraint) () -> "@timestamp", context)); + assertTrue( + evaluators.canMatch( + bounds(100L, 200L, true), + constraint("@timestamp", 300L, 400L, true, true, null, null, ShapeRelation.INTERSECTS), + context + ) + ); + } + + private static DateRangeFieldDomain bounds(long min, long max, boolean finalized) { + return new DateRangeFieldDomain("@timestamp", min, max, finalized, "test"); + } + + private static RangeQueryConstraint constraint(Object lower, Object upper, boolean includeLower, boolean includeUpper) { + return constraint("@timestamp", lower, upper, includeLower, includeUpper); + } + + private static RangeQueryConstraint constraint(String field, Object lower, Object upper, boolean includeLower, boolean includeUpper) { + return constraint(field, lower, upper, includeLower, includeUpper, null, null, null); + } + + private static RangeQueryConstraint constraint( + String field, + Object lower, + Object upper, + boolean includeLower, + boolean includeUpper, + String format, + String timeZone, + ShapeRelation relation + ) { + return new RangeQueryConstraint(field, lower, upper, includeLower, includeUpper, format, timeZone, relation); + } + + private static final class UnsupportedFieldDomain implements FieldDomain { + private final String field; + + private UnsupportedFieldDomain(String field) { + this.field = field; + } + + @Override + public String field() { + return field; + } + + @Override + public String type() { + return "unsupported"; + } + + @Override + public boolean finalized() { + return true; + } + } +} diff --git a/server/src/test/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractorTests.java b/server/src/test/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractorTests.java new file mode 100644 index 0000000000000..3214b175e92ff --- /dev/null +++ b/server/src/test/java/org/opensearch/action/search/pruning/MandatoryQueryConstraintExtractorTests.java @@ -0,0 +1,124 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.action.search.pruning; + +import org.opensearch.common.geo.ShapeRelation; +import org.opensearch.index.query.QueryBuilders; +import org.opensearch.search.builder.SearchSourceBuilder; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.List; +import java.util.Set; + +import static org.hamcrest.Matchers.equalTo; +import static org.hamcrest.Matchers.instanceOf; + +public class MandatoryQueryConstraintExtractorTests extends OpenSearchTestCase { + private final MandatoryQueryConstraintExtractor extractor = new MandatoryQueryConstraintExtractor(); + + public void testExtractsConfiguredRangeFromMandatoryQueryBranches() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.boolQuery() + .filter(QueryBuilders.termQuery("service.name", "api")) + .must(QueryBuilders.rangeQuery("@timestamp").gte(100L).lt(200L)) + .should(QueryBuilders.rangeQuery("ignored").gte(1L)) + ); + + List constraints = extractor.extractMandatoryConstraints(source, Set.of("@timestamp")); + + assertThat(constraints.size(), equalTo(1)); + assertThat(constraints.get(0), instanceOf(RangeQueryConstraint.class)); + + RangeQueryConstraint constraint = (RangeQueryConstraint) constraints.get(0); + assertThat(constraint.field(), equalTo("@timestamp")); + assertThat(constraint.lowerValue(), equalTo(100L)); + assertThat(constraint.upperValue(), equalTo(200L)); + assertTrue(constraint.includeLower()); + assertFalse(constraint.includeUpper()); + } + + public void testExtractsRangeFromConstantScoreFilter() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.constantScoreQuery(QueryBuilders.rangeQuery("@timestamp").from(100L).to(200L)) + ); + + List constraints = extractor.extractMandatoryConstraints(source, Set.of("@timestamp")); + + assertThat(constraints.size(), equalTo(1)); + assertThat(constraints.get(0).field(), equalTo("@timestamp")); + } + + public void testExtractsDateMathRangeAsRawValues() { + SearchSourceBuilder source = new SearchSourceBuilder().query(QueryBuilders.rangeQuery("@timestamp").gte("now-2m").lte("now")); + + List constraints = extractor.extractMandatoryConstraints(source, Set.of("@timestamp")); + + assertThat(constraints.size(), equalTo(1)); + assertThat(constraints.get(0), instanceOf(RangeQueryConstraint.class)); + + RangeQueryConstraint constraint = (RangeQueryConstraint) constraints.get(0); + assertThat(constraint.field(), equalTo("@timestamp")); + assertThat(constraint.lowerValue(), equalTo("now-2m")); + assertThat(constraint.upperValue(), equalTo("now")); + assertTrue(constraint.includeLower()); + assertTrue(constraint.includeUpper()); + } + + public void testDoesNotExtractRangesFromOptionalBranches() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.boolQuery().should(QueryBuilders.rangeQuery("@timestamp").gte(100L).lte(200L)) + ); + + assertTrue(extractor.extractMandatoryConstraints(source, Set.of("@timestamp")).isEmpty()); + } + + public void testDoesNotExtractRangesFromDisMaxBranches() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.disMaxQuery() + .add(QueryBuilders.rangeQuery("@timestamp").gte(100L).lte(200L)) + .add(QueryBuilders.termQuery("service.name", "api")) + ); + + assertTrue(extractor.extractMandatoryConstraints(source, Set.of("@timestamp")).isEmpty()); + } + + public void testDoesNotExtractRangesFromNegativeBranches() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.boolQuery().mustNot(QueryBuilders.rangeQuery("@timestamp").gte(100L).lte(200L)) + ); + + assertTrue(extractor.extractMandatoryConstraints(source, Set.of("@timestamp")).isEmpty()); + } + + public void testExtractsRangeQueryInterpretationOptions() { + SearchSourceBuilder source = new SearchSourceBuilder().query( + QueryBuilders.rangeQuery("@timestamp") + .gte("2024-01-01") + .format("strict_date_optional_time") + .timeZone("+01:00") + .relation("within") + ); + + List constraints = extractor.extractMandatoryConstraints(source, Set.of("@timestamp")); + + assertThat(constraints.size(), equalTo(1)); + assertThat(constraints.get(0), instanceOf(RangeQueryConstraint.class)); + + RangeQueryConstraint constraint = (RangeQueryConstraint) constraints.get(0); + assertThat(constraint.format(), equalTo("strict_date_optional_time")); + assertThat(constraint.timeZone(), equalTo("+01:00")); + assertThat(constraint.relation(), equalTo(ShapeRelation.WITHIN)); + } + + public void testIgnoresUnconfiguredFields() { + SearchSourceBuilder source = new SearchSourceBuilder().query(QueryBuilders.rangeQuery("@timestamp").gte(100L).lte(200L)); + + assertTrue(extractor.extractMandatoryConstraints(source, Set.of("event.ingested")).isEmpty()); + } +} diff --git a/server/src/test/java/org/opensearch/index/fielddomain/FieldDomainParserRegistryTests.java b/server/src/test/java/org/opensearch/index/fielddomain/FieldDomainParserRegistryTests.java new file mode 100644 index 0000000000000..d194f06f8a4d4 --- /dev/null +++ b/server/src/test/java/org/opensearch/index/fielddomain/FieldDomainParserRegistryTests.java @@ -0,0 +1,256 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.test.OpenSearchTestCase; + +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.Optional; + +import static org.hamcrest.Matchers.containsString; +import static org.hamcrest.Matchers.equalTo; +import static org.hamcrest.Matchers.sameInstance; + +public class FieldDomainParserRegistryTests extends OpenSearchTestCase { + public void testDefaultRegistryContainsDateRangeParser() { + assertTrue(FieldDomainParserRegistry.defaultRegistry().contains(DateRangeFieldDomain.TYPE)); + } + + public void testReturnsCorrectType() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("test"))) + ); + + assertTrue(registry.contains("test")); + } + + public void testReturnsEmptyForUnknownType() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("test"))) + ); + + assertFalse(registry.contains("unknown")); + assertTrue(registry.fromCustomData("unknown", "field", Map.of(), "fields.field.").isEmpty()); + } + + public void testFromCustomDataReturnsEmptyWhenRegisteredParserReturnsEmpty() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("test"))) + ); + + assertTrue(registry.fromCustomData("test", "field", Map.of(), "fields.field.").isEmpty()); + } + + public void testRejectsDuplicateParserTypes() { + IllegalArgumentException exception = expectThrows( + IllegalArgumentException.class, + () -> new FieldDomainParserRegistry( + List.of( + FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("test")), + FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("test")) + ) + ) + ); + + assertThat(exception.getMessage(), equalTo("field domain parser [test] is already registered")); + } + + public void testRejectsNullParserListOrParser() { + expectThrows(NullPointerException.class, () -> new FieldDomainParserRegistry(null)); + expectThrows(NullPointerException.class, () -> new FieldDomainParserRegistry(java.util.Collections.singletonList(null))); + } + + public void testEntryRejectsNullDomainClassOrParser() { + expectThrows(NullPointerException.class, () -> FieldDomainParserRegistry.entry(null, new TypedTestParser("test"))); + expectThrows(NullPointerException.class, () -> FieldDomainParserRegistry.entry(TypedTestDomain.class, null)); + } + + public void testFromCustomDataDelegatesToRegisteredEntry() { + TypedTestDomain domain = new TypedTestDomain("event.ingested", "test"); + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(TypedTestDomain.class, new TypedTestParser("test", Optional.of(domain)))) + ); + + Optional maybeDomain = registry.fromCustomData( + "test", + "event.ingested", + Map.of("fields.event.ingested.value", "value"), + "fields.event.ingested." + ); + + assertTrue(maybeDomain.isPresent()); + assertThat(maybeDomain.get(), sameInstance(domain)); + } + + public void testWriteToCustomDataDelegatesToRegisteredEntry() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(TypedTestDomain.class, new TypedTestParser("test"))) + ); + Map targetCustomData = new HashMap<>(); + + registry.writeToCustomData(new TypedTestDomain("event.ingested", "test"), targetCustomData, "fields.event.ingested."); + + assertThat(targetCustomData.get("fields.event.ingested.written"), equalTo("event.ingested")); + } + + public void testWriteToCustomDataRejectsUnknownType() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry(List.of()); + + IllegalArgumentException exception = expectThrows( + IllegalArgumentException.class, + () -> registry.writeToCustomData(new TypedTestDomain("event.ingested", "unknown"), new HashMap<>(), "fields.event.ingested.") + ); + + assertThat(exception.getMessage(), equalTo("unsupported field domain type [unknown]")); + } + + public void testWriteToCustomDataRejectsMismatchedDomainClass() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of(FieldDomainParserRegistry.entry(TypedTestDomain.class, new TypedTestParser("test"))) + ); + + IllegalArgumentException exception = expectThrows( + IllegalArgumentException.class, + () -> registry.writeToCustomData(new OtherTestDomain("event.ingested", "test"), new HashMap<>(), "fields.event.ingested.") + ); + + assertThat(exception.getMessage(), containsString("is not supported by parser [test]")); + } + + public void testRemoveFieldKeysDelegatesToAllRegisteredParsers() { + FieldDomainParserRegistry registry = new FieldDomainParserRegistry( + List.of( + FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("alpha")), + FieldDomainParserRegistry.entry(FieldDomain.class, new TestParser("beta")) + ) + ); + Map target = new HashMap<>(); + target.put("fields.event.alpha.owned", "removed"); + target.put("fields.event.beta.owned", "removed"); + target.put("fields.event.unowned", "preserved"); + + registry.removeFieldKeys(target, "fields.event."); + + assertFalse(target.containsKey("fields.event.alpha.owned")); + assertFalse(target.containsKey("fields.event.beta.owned")); + assertThat(target.get("fields.event.unowned"), equalTo("preserved")); + } + + private static final class TestParser implements FieldDomainParser { + private final String type; + + private TestParser(String type) { + this.type = type; + } + + @Override + public String type() { + return type; + } + + @Override + public Optional fromCustomData(String field, Map customData, String prefix) { + return Optional.empty(); + } + + @Override + public void writeToCustomData(FieldDomain domain, Map targetCustomData, String prefix) {} + + @Override + public void removeFieldKeys(Map target, String prefix) { + target.remove(prefix + type + ".owned"); + } + } + + private static final class TypedTestParser implements FieldDomainParser { + private final String type; + private final Optional domain; + + private TypedTestParser(String type) { + this(type, Optional.empty()); + } + + private TypedTestParser(String type, Optional domain) { + this.type = type; + this.domain = domain; + } + + @Override + public String type() { + return type; + } + + @Override + public Optional fromCustomData(String field, Map customData, String prefix) { + return domain; + } + + @Override + public void writeToCustomData(TypedTestDomain domain, Map targetCustomData, String prefix) { + targetCustomData.put(prefix + "written", domain.field()); + } + + @Override + public void removeFieldKeys(Map target, String prefix) { + target.remove(prefix + "written"); + } + } + + private static final class TypedTestDomain implements FieldDomain { + private final String field; + private final String type; + + private TypedTestDomain(String field, String type) { + this.field = field; + this.type = type; + } + + @Override + public String field() { + return field; + } + + @Override + public String type() { + return type; + } + + @Override + public boolean finalized() { + return true; + } + } + + private static final class OtherTestDomain implements FieldDomain { + private final String field; + private final String type; + + private OtherTestDomain(String field, String type) { + this.field = field; + this.type = type; + } + + @Override + public String field() { + return field; + } + + @Override + public String type() { + return type; + } + + @Override + public boolean finalized() { + return true; + } + } +} diff --git a/server/src/test/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadataTests.java b/server/src/test/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadataTests.java new file mode 100644 index 0000000000000..96dc7a99b5e87 --- /dev/null +++ b/server/src/test/java/org/opensearch/index/fielddomain/IndexFieldDomainMetadataTests.java @@ -0,0 +1,379 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.fielddomain; + +import org.opensearch.Version; +import org.opensearch.cluster.metadata.IndexMetadata; +import org.opensearch.common.settings.Settings; +import org.opensearch.test.OpenSearchTestCase; + +import java.util.HashMap; +import java.util.Map; +import java.util.Optional; + +import static org.hamcrest.Matchers.equalTo; +import static org.hamcrest.Matchers.instanceOf; + +public class IndexFieldDomainMetadataTests extends OpenSearchTestCase { + private static final IndexFieldDomainMetadata METADATA = IndexFieldDomainMetadata.getInstance(); + + public void testCustomMetadataKeyIsStable() { + assertThat(IndexFieldDomainMetadata.CUSTOM_KEY, equalTo("index_field_domains")); + } + + public void testFromCustomDataReadsDateRangeDomain() { + Map customData = Map.of( + "fields.event.ingested.type", + "date_range", + "fields.event.ingested.min", + "1714521600000", + "fields.event.ingested.max", + "1717200000000", + "fields.event.ingested.finalized", + "true", + "fields.event.ingested.source", + "test_producer", + "fields.event.ingested.format", + "strict_date_optional_time", + "fields.event.ingested.resolution", + "milliseconds" + ); + + Optional maybeDomain = METADATA.fromCustomData(customData, "event.ingested"); + + assertTrue(maybeDomain.isPresent()); + assertThat(maybeDomain.get(), instanceOf(DateRangeFieldDomain.class)); + + DateRangeFieldDomain domain = (DateRangeFieldDomain) maybeDomain.get(); + assertThat(domain.field(), equalTo("event.ingested")); + assertThat(domain.type(), equalTo(DateRangeFieldDomain.TYPE)); + assertThat(domain.min(), equalTo("1714521600000")); + assertThat(domain.max(), equalTo("1717200000000")); + assertTrue(domain.finalized()); + assertThat(domain.source(), equalTo("test_producer")); + assertThat(domain.format(), equalTo("strict_date_optional_time")); + assertThat(domain.resolution(), equalTo("milliseconds")); + } + + public void testFromCustomDataReturnsEmptyForMissingUnknownOrMalformedMetadata() { + assertTrue(METADATA.fromCustomData(null, "@timestamp").isEmpty()); + assertTrue(METADATA.fromCustomData(Map.of(), "@timestamp").isEmpty()); + assertTrue(METADATA.fromCustomData(Map.of("fields.@timestamp.type", "unknown"), "@timestamp").isEmpty()); + assertTrue( + METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "100", + "fields.@timestamp.max", + "200", + "fields.@timestamp.finalized", + "not-a-boolean", + "fields.@timestamp.resolution", + "milliseconds" + ), + "@timestamp" + ).isEmpty() + ); + } + + public void testFromCustomDataReturnsEmptyWhenDateRangeRequiredKeysAreMissing() { + assertTrue( + METADATA.fromCustomData( + Map.of("fields.@timestamp.type", "date_range", "fields.@timestamp.max", "200", "fields.@timestamp.finalized", "true"), + "@timestamp" + ).isEmpty() + ); + assertTrue( + METADATA.fromCustomData( + Map.of("fields.@timestamp.type", "date_range", "fields.@timestamp.min", "100", "fields.@timestamp.finalized", "true"), + "@timestamp" + ).isEmpty() + ); + assertTrue( + METADATA.fromCustomData( + Map.of("fields.@timestamp.type", "date_range", "fields.@timestamp.min", "100", "fields.@timestamp.max", "200"), + "@timestamp" + ).isEmpty() + ); + } + + public void testFromCustomDataReturnsEmptyWhenRequestedFieldIsMissing() { + Map customData = Map.of( + "fields.event.created.type", + "date_range", + "fields.event.created.min", + "100", + "fields.event.created.max", + "200", + "fields.event.created.finalized", + "true" + ); + + assertTrue(METADATA.fromCustomData(customData, "event.ingested").isEmpty()); + } + + public void testFromCustomDataReadsDateRangeDomainWithOptionalSourceAndFormatOmitted() { + Optional maybeDomain = METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "100", + "fields.@timestamp.max", + "200", + "fields.@timestamp.finalized", + "true", + "fields.@timestamp.resolution", + "milliseconds" + ), + "@timestamp" + ); + + assertTrue(maybeDomain.isPresent()); + DateRangeFieldDomain domain = (DateRangeFieldDomain) maybeDomain.get(); + assertNull(domain.source()); + assertNull(domain.format()); + assertThat(domain.resolution(), equalTo("milliseconds")); + } + + public void testFromCustomDataReturnsEmptyForInvalidDateRangeValues() { + assertTrue( + METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "bad", + "fields.@timestamp.max", + "200", + "fields.@timestamp.finalized", + "true", + "fields.@timestamp.resolution", + "milliseconds" + ), + "@timestamp" + ).isEmpty() + ); + assertTrue( + METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "200", + "fields.@timestamp.max", + "100", + "fields.@timestamp.finalized", + "true", + "fields.@timestamp.resolution", + "milliseconds" + ), + "@timestamp" + ).isEmpty() + ); + assertTrue( + METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "100", + "fields.@timestamp.max", + "200", + "fields.@timestamp.finalized", + "true", + "fields.@timestamp.resolution", + "unsupported" + ), + "@timestamp" + ).isEmpty() + ); + assertTrue( + METADATA.fromCustomData( + Map.of( + "fields.@timestamp.type", + "date_range", + "fields.@timestamp.min", + "100", + "fields.@timestamp.max", + "200", + "fields.@timestamp.finalized", + "true" + ), + "@timestamp" + ).isEmpty() + ); + } + + public void testToCustomDataWritesDateRangeDomain() { + Map customData = METADATA.toCustomData( + new DateRangeFieldDomain("@timestamp", "100", "200", true, "test", null, "milliseconds") + ); + + assertThat(customData.get("fields.@timestamp.type"), equalTo("date_range")); + assertThat(customData.get("fields.@timestamp.min"), equalTo("100")); + assertThat(customData.get("fields.@timestamp.max"), equalTo("200")); + assertThat(customData.get("fields.@timestamp.finalized"), equalTo("true")); + assertThat(customData.get("fields.@timestamp.source"), equalTo("test")); + assertFalse(customData.containsKey("fields.@timestamp.format")); + assertThat(customData.get("fields.@timestamp.resolution"), equalTo("milliseconds")); + } + + public void testToCustomDataReturnsImmutableMap() { + Map customData = METADATA.toCustomData(new DateRangeFieldDomain("@timestamp", 100L, 200L, true, "test")); + + expectThrows(UnsupportedOperationException.class, () -> customData.put("fields.@timestamp.min", "300")); + } + + public void testToCustomDataRejectsUnsupportedDomainType() { + IllegalArgumentException exception = expectThrows( + IllegalArgumentException.class, + () -> METADATA.toCustomData(new UnsupportedFieldDomain("host.name")) + ); + + assertThat(exception.getMessage(), equalTo("unsupported field domain type [unsupported]")); + } + + public void testPutFieldDomainCreatesCustomDataWhenMissing() { + IndexMetadata metadata = indexMetadataBuilder("logs-000001").build(); + + IndexMetadata updated = METADATA.putFieldDomain(metadata, new DateRangeFieldDomain("@timestamp", 100L, 200L, true, "test")); + + Map customData = updated.getCustomData(IndexFieldDomainMetadata.CUSTOM_KEY); + assertThat(customData.get("fields.@timestamp.type"), equalTo("date_range")); + assertThat(customData.get("fields.@timestamp.min"), equalTo("100")); + assertThat(customData.get("fields.@timestamp.max"), equalTo("200")); + assertThat(customData.get("fields.@timestamp.finalized"), equalTo("true")); + assertThat(customData.get("fields.@timestamp.resolution"), equalTo("milliseconds")); + } + + public void testPutFieldDomainReplacesOnlyTargetFieldMetadata() { + Map existing = new HashMap<>(); + existing.put("fields.@timestamp.type", "date_range"); + existing.put("fields.@timestamp.min", "1"); + existing.put("fields.@timestamp.max", "2"); + existing.put("fields.@timestamp.finalized", "true"); + existing.put("fields.host.name.type", "term_set"); + existing.put("fields.host.name.value", "server-a"); + existing.put("producer", "existing"); + + IndexMetadata metadata = indexMetadataBuilder("logs-000001").putCustom(IndexFieldDomainMetadata.CUSTOM_KEY, existing).build(); + + IndexMetadata updated = METADATA.putFieldDomain(metadata, new DateRangeFieldDomain("@timestamp", 100L, 200L, true, "ism_rollover")); + + Map customData = updated.getCustomData(IndexFieldDomainMetadata.CUSTOM_KEY); + assertThat(customData.get("fields.@timestamp.type"), equalTo("date_range")); + assertThat(customData.get("fields.@timestamp.min"), equalTo("100")); + assertThat(customData.get("fields.@timestamp.max"), equalTo("200")); + assertThat(customData.get("fields.@timestamp.finalized"), equalTo("true")); + assertThat(customData.get("fields.@timestamp.source"), equalTo("ism_rollover")); + assertThat(customData.get("fields.host.name.type"), equalTo("term_set")); + assertThat(customData.get("fields.host.name.value"), equalTo("server-a")); + assertThat(customData.get("producer"), equalTo("existing")); + } + + public void testPutFieldDomainPreservesFieldsWithSharedPrefixes() { + Map existing = new HashMap<>(); + existing.put("fields.event.type", "keyword_set"); + existing.put("fields.event.value", "audit"); + existing.put("fields.event.ingested.type", "date_range"); + existing.put("fields.event.ingested.min", "1"); + existing.put("fields.event.ingested.max", "2"); + existing.put("fields.event.ingested.finalized", "true"); + existing.put("fields.event.ingested.raw.type", "keyword_set"); + existing.put("fields.event.ingested.raw.value", "2024-01-01"); + + IndexMetadata metadata = indexMetadataBuilder("logs-000001").putCustom(IndexFieldDomainMetadata.CUSTOM_KEY, existing).build(); + + IndexMetadata updated = METADATA.putFieldDomain(metadata, new DateRangeFieldDomain("event.ingested", 100L, 200L, true, "test")); + + Map customData = updated.getCustomData(IndexFieldDomainMetadata.CUSTOM_KEY); + assertThat(customData.get("fields.event.type"), equalTo("keyword_set")); + assertThat(customData.get("fields.event.value"), equalTo("audit")); + assertThat(customData.get("fields.event.ingested.type"), equalTo("date_range")); + assertThat(customData.get("fields.event.ingested.min"), equalTo("100")); + assertThat(customData.get("fields.event.ingested.max"), equalTo("200")); + assertThat(customData.get("fields.event.ingested.raw.type"), equalTo("keyword_set")); + assertThat(customData.get("fields.event.ingested.raw.value"), equalTo("2024-01-01")); + } + + public void testPutFieldDomainRemovesStaleKnownKeysForTargetField() { + Map existing = new HashMap<>(); + existing.put("fields.@timestamp.type", "date_range"); + existing.put("fields.@timestamp.min", "1"); + existing.put("fields.@timestamp.max", "2"); + existing.put("fields.@timestamp.finalized", "true"); + existing.put("fields.@timestamp.source", "old_source"); + existing.put("fields.@timestamp.format", "strict_date_optional_time"); + existing.put("fields.@timestamp.resolution", "nanoseconds"); + existing.put("fields.@timestamp.custom", "preserved"); + + IndexMetadata metadata = indexMetadataBuilder("logs-000001").putCustom(IndexFieldDomainMetadata.CUSTOM_KEY, existing).build(); + + IndexMetadata updated = METADATA.putFieldDomain( + metadata, + new DateRangeFieldDomain("@timestamp", "100", "200", true, null, null, "milliseconds") + ); + + Map customData = updated.getCustomData(IndexFieldDomainMetadata.CUSTOM_KEY); + assertThat(customData.get("fields.@timestamp.min"), equalTo("100")); + assertThat(customData.get("fields.@timestamp.max"), equalTo("200")); + assertFalse(customData.containsKey("fields.@timestamp.source")); + assertFalse(customData.containsKey("fields.@timestamp.format")); + assertThat(customData.get("fields.@timestamp.resolution"), equalTo("milliseconds")); + assertThat(customData.get("fields.@timestamp.custom"), equalTo("preserved")); + } + + public void testPutFieldDomainRejectsNullInputs() { + IndexMetadata metadata = indexMetadataBuilder("logs-000001").build(); + + expectThrows( + NullPointerException.class, + () -> METADATA.putFieldDomain(null, new DateRangeFieldDomain("@timestamp", 1L, 2L, true, "test")) + ); + expectThrows(NullPointerException.class, () -> METADATA.putFieldDomain(metadata, null)); + } + + private static IndexMetadata.Builder indexMetadataBuilder(String index) { + return IndexMetadata.builder(index) + .settings( + Settings.builder() + .put(IndexMetadata.SETTING_VERSION_CREATED, Version.CURRENT) + .put(IndexMetadata.SETTING_INDEX_UUID, "_na_") + .build() + ) + .numberOfShards(1) + .numberOfReplicas(0); + } + + private static final class UnsupportedFieldDomain implements FieldDomain { + private final String field; + + private UnsupportedFieldDomain(String field) { + this.field = field; + } + + @Override + public String field() { + return field; + } + + @Override + public String type() { + return "unsupported"; + } + + @Override + public boolean finalized() { + return true; + } + } +} From dd80185f8966ef3a2188b46fe72fe99773e5d7b4 Mon Sep 17 00:00:00 2001 From: Lamine <104593675+laminelam@users.noreply.github.com> Date: Tue, 7 Jul 2026 13:55:37 -0500 Subject: [PATCH 92/94] Add support for double, int and long to ExtraFieldValue #104 (#22058) --------- Signed-off-by: Lamine Idjeraoui Co-authored-by: Lamine Idjeraoui --- .../extrasource/AbstractPackedArray.java | 139 ++++++++++++ .../extrasource/AbstractPrimitiveArray.java | 44 ++++ .../mapper/extrasource/DoubleArrayValue.java | 108 +++++++++ .../mapper/extrasource/ExtraFieldValue.java | 9 +- .../mapper/extrasource/FloatArrayValue.java | 6 +- .../mapper/extrasource/IntArrayValue.java | 108 +++++++++ .../mapper/extrasource/LongArrayValue.java | 108 +++++++++ .../mapper/extrasource/PackedDoubleArray.java | 79 +++++++ .../mapper/extrasource/PackedFloatArray.java | 97 +------- .../mapper/extrasource/PackedIntArray.java | 79 +++++++ .../mapper/extrasource/PackedLongArray.java | 79 +++++++ .../extrasource/PrimitiveDoubleArray.java | 47 ++++ .../extrasource/PrimitiveFloatArray.java | 20 +- .../mapper/extrasource/PrimitiveIntArray.java | 47 ++++ .../extrasource/PrimitiveLongArray.java | 47 ++++ .../extrasource/ExtraFieldValueTests.java | 137 ++++++++++- .../ExtraFieldValuesIngestTests.java | 58 ++++- .../extrasource/ExtraFieldValuesTests.java | 34 ++- .../extrasource/ExtraTestFieldMapper.java | 15 ++ .../extrasource/NumericArrayValueTests.java | 213 ++++++++++++++++++ 20 files changed, 1360 insertions(+), 114 deletions(-) create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPackedArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPrimitiveArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/DoubleArrayValue.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/IntArrayValue.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/LongArrayValue.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PackedDoubleArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PackedIntArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PackedLongArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveDoubleArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveIntArray.java create mode 100644 server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveLongArray.java create mode 100644 server/src/test/java/org/opensearch/index/mapper/extrasource/NumericArrayValueTests.java diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPackedArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPackedArray.java new file mode 100644 index 0000000000000..3ee78f726a618 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPackedArray.java @@ -0,0 +1,139 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Shared storage and little-endian decoding for packed primitive arrays. + * + *

        Element access is intentionally left to the concrete primitive types instead of + * being modeled with generics. Java generics would require boxed values such as + * {@code Integer}, {@code Long}, {@code Float}, and {@code Double}; keeping + * type-specific accessors avoids that overhead on indexing paths.

        + * + *

        The repeated {@code get(int)} and array materialization loops in subclasses are + * deliberate. Extracting them into a generic or callback-based helper would add boxing + * or per-element indirection in hot indexing paths.

        + */ +abstract class AbstractPackedArray { + + protected static final class ResolvedBytes { + final byte[] bytes; + final int offset; + + private ResolvedBytes(byte[] bytes, int offset) { + this.bytes = bytes; + this.offset = offset; + } + } + + protected final int dimension; + + private final BytesReference packed; + private volatile ResolvedBytes resolvedBytes; + + AbstractPackedArray(BytesReference packed, int dimension, byte[] bytes, int bytesOffset, int bytesPerElement, String valueType) { + this.packed = Objects.requireNonNull(packed, "packed must not be null"); + this.dimension = dimension; + if (bytes != null) { + Objects.checkFromIndexSize(bytesOffset, packed.length(), bytes.length); + } + this.resolvedBytes = bytes == null ? null : new ResolvedBytes(bytes, bytesOffset); + validate(packed.length(), dimension, bytesPerElement, valueType); + } + + public final int dimension() { + return dimension; + } + + public final boolean isPackedLE() { + return true; + } + + public final BytesReference packedBytes() { + return packed; + } + + public final void writePayloadTo(StreamOutput out) throws IOException { + out.writeVInt(dimension()); + out.writeBytesReference(packed); + } + + protected final ResolvedBytes ensureBytes() { + ResolvedBytes view = resolvedBytes; + if (view != null) { + return view; + } + + // This cache is intentionally lock-free. The expected indexing path consumes each + // value from one thread; if a value is shared concurrently, duplicate first-time + // resolution is harmless because all resolved views contain the same bytes. + byte[] arr; + int off; + if (packed instanceof BytesArray ba) { + arr = ba.array(); + off = ba.offset(); + } else { + arr = BytesReference.toBytes(packed); + off = 0; + } + + view = new ResolvedBytes(arr, off); + resolvedBytes = view; + return view; + } + + protected final void checkIndex(int i) { + if (i < 0 || i >= dimension) { + throw new IndexOutOfBoundsException("i=" + i + " dim=" + dimension); + } + } + + protected static int decodeIntLEAt(final byte[] a, final int p) { + return (a[p] & 0xFF) | ((a[p + 1] & 0xFF) << 8) | ((a[p + 2] & 0xFF) << 16) | ((a[p + 3] & 0xFF) << 24); + } + + protected static long decodeLongLEAt(final byte[] a, final int p) { + // Decode bytes directly; mask each signed byte as unsigned before shifting. + return ((long) a[p] & 0xFFL) | (((long) a[p + 1] & 0xFFL) << 8) | (((long) a[p + 2] & 0xFFL) << 16) | (((long) a[p + 3] & 0xFFL) + << 24) | (((long) a[p + 4] & 0xFFL) << 32) | (((long) a[p + 5] & 0xFFL) << 40) | (((long) a[p + 6] & 0xFFL) << 48) + | (((long) a[p + 7] & 0xFFL) << 56); + } + + protected static float decodeFloatLEAt(final byte[] a, final int p) { + return Float.intBitsToFloat(decodeIntLEAt(a, p)); + } + + protected static double decodeDoubleLEAt(final byte[] a, final int p) { + return Double.longBitsToDouble(decodeLongLEAt(a, p)); + } + + private static void validate(int byteLen, int dim, int bytesPerElement, String valueType) { + if (dim < 0) { + throw new IllegalArgumentException("dimension must be >= 0 (got " + dim + ")"); + } + final int expected; + try { + expected = Math.multiplyExact(dim, bytesPerElement); + } catch (ArithmeticException e) { + throw new IllegalArgumentException("dimension too large: " + dim, e); + } + if (byteLen != expected) { + throw new IllegalArgumentException( + "Bad packed " + valueType + " length=" + byteLen + " expected=" + expected + " (dim=" + dim + ")" + ); + } + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPrimitiveArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPrimitiveArray.java new file mode 100644 index 0000000000000..b176bdb70fd74 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/AbstractPrimitiveArray.java @@ -0,0 +1,44 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesReference; + +/** + * Shared behavior for arrays backed by Java primitive arrays. + * + *

        The concrete classes keep their own primitive array type instead of using a + * generic base class. Java generics would require boxed values such as {@code Integer}, + * {@code Long}, {@code Float}, and {@code Double}; keeping primitive arrays and + * type-specific accessors avoids that overhead on indexing paths.

        + * + *

        The small amount of repeated primitive-specific code is deliberate. Sharing it + * through generic helpers would require boxed values or indirect callbacks where callers + * currently use primitive arrays directly.

        + */ +abstract class AbstractPrimitiveArray { + + private final int dimension; + + AbstractPrimitiveArray(int dimension) { + this.dimension = dimension; + } + + public final int dimension() { + return dimension; + } + + public final boolean isPackedLE() { + return false; + } + + public final BytesReference packedBytes() { + throw new IllegalStateException("Not packed"); + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/DoubleArrayValue.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/DoubleArrayValue.java new file mode 100644 index 0000000000000..be0099953349b --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/DoubleArrayValue.java @@ -0,0 +1,108 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; + +/** + * A double array value used in {@link ExtraFieldValue}. + * + *

        Supports both primitive (decoded) and packed (little-endian) representations.

        + */ +public non-sealed interface DoubleArrayValue extends ExtraFieldValue { + + @Override + default Type type() { + return Type.DOUBLE_ARRAY; + } + + /** + * Creates a {@link DoubleArrayValue} from packed little-endian bytes. + * + * @param packed the packed double bytes (dimension * 8 bytes) + * @param dimension the number of double elements + * @return a double-array value backed by the provided bytes + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 8} + */ + static DoubleArrayValue fromPackedBytes(BytesReference packed, int dimension) { + return PackedDoubleArray.fromPackedBytes(packed, dimension); + } + + /** + * Creates a {@link DoubleArrayValue} from a packed little-endian byte array. + * + * @param packed the packed double bytes (dimension * 8 bytes) + * @param dimension the number of double elements + * @return a double-array value backed by the provided array + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 8} + */ + static DoubleArrayValue fromPackedArray(byte[] packed, int dimension) { + return PackedDoubleArray.fromPackedArray(packed, dimension); + } + + /** + * Creates a {@link DoubleArrayValue} from a double array. + * + * @param values the double values + * @return a double-array value backed by the provided array + */ + static DoubleArrayValue fromDoubleArray(double[] values) { + return new PrimitiveDoubleArray(values); + } + + /** Number of double elements. */ + int dimension(); + + /** True if backed by little-endian packed bytes. */ + boolean isPackedLE(); + + /** + * Packed bytes for the double vector (LE, 8 * dimension bytes). + * Only valid when isPackedLE() == true. + */ + BytesReference packedBytes(); + + /** Random access (packed reads 8 bytes at i*8; non-packed returns v[i]). */ + double get(int i); + + /** + * Convenience; allocates a double array for packed values. + * Zero-copy decoding is used when the packed value is backed by a usable byte array. + * For other BytesReference implementations, decoding may lazily materialize one cached + * byte array. + */ + double[] asDoubleArray(); + + @Override + default int size() { + return dimension(); + } + + @Override + default void writeBodyTo(StreamOutput out) throws IOException { + out.writeBoolean(isPackedLE()); + writePayloadTo(out); + } + + void writePayloadTo(StreamOutput out) throws IOException; + + static DoubleArrayValue readBodyFrom(StreamInput in) throws IOException { + final boolean packedLE = in.readBoolean(); + if (packedLE) { + final int dim = in.readVInt(); + return PackedDoubleArray.readBodyFrom(in, dim); + } else { + return PrimitiveDoubleArray.readBodyFrom(in); + } + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/ExtraFieldValue.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/ExtraFieldValue.java index 9c084fba306ba..dc0306ce5e208 100644 --- a/server/src/main/java/org/opensearch/index/mapper/extrasource/ExtraFieldValue.java +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/ExtraFieldValue.java @@ -21,16 +21,17 @@ * directly to the indexing layer.

        */ @ExperimentalApi() -public sealed interface ExtraFieldValue permits FloatArrayValue, BytesValue { - +public sealed interface ExtraFieldValue permits BytesValue, FloatArrayValue, DoubleArrayValue, IntArrayValue, LongArrayValue { /** * Supported extra field value types. */ @ExperimentalApi enum Type { BYTES((byte) 0, BytesValue::readBodyFrom), - FLOAT_ARRAY((byte) 1, FloatArrayValue::readBodyFrom); - // TODO add double, int and long + FLOAT_ARRAY((byte) 1, FloatArrayValue::readBodyFrom), + DOUBLE_ARRAY((byte) 2, DoubleArrayValue::readBodyFrom), + INT_ARRAY((byte) 3, IntArrayValue::readBodyFrom), + LONG_ARRAY((byte) 4, LongArrayValue::readBodyFrom); private final byte id; private final Reader reader; diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/FloatArrayValue.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/FloatArrayValue.java index 024b7e9315b1c..0f8913e342ca8 100644 --- a/server/src/main/java/org/opensearch/index/mapper/extrasource/FloatArrayValue.java +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/FloatArrayValue.java @@ -76,8 +76,10 @@ static FloatArrayValue fromFloatArray(float[] values) { float get(int i); /** - * Convenience; may allocate/copy for packed (allocating float[] is unavoidable). - * Packed implementation must NOT perform an extra byte[] compaction copy. + * Convenience; allocates a float array for packed values. + * Zero-copy decoding is used when the packed value is backed by a usable byte array. + * For other BytesReference implementations, decoding may lazily materialize one cached + * byte array. */ float[] asFloatArray(); diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/IntArrayValue.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/IntArrayValue.java new file mode 100644 index 0000000000000..48bf79293d2fa --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/IntArrayValue.java @@ -0,0 +1,108 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; + +/** + * An int array value used in {@link ExtraFieldValue}. + * + *

        Supports both primitive (decoded) and packed (little-endian) representations.

        + */ +public non-sealed interface IntArrayValue extends ExtraFieldValue { + + @Override + default Type type() { + return Type.INT_ARRAY; + } + + /** + * Creates an {@link IntArrayValue} from packed little-endian bytes. + * + * @param packed the packed int bytes (dimension * 4 bytes) + * @param dimension the number of int elements + * @return an int-array value backed by the provided bytes + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 4} + */ + static IntArrayValue fromPackedBytes(BytesReference packed, int dimension) { + return PackedIntArray.fromPackedBytes(packed, dimension); + } + + /** + * Creates an {@link IntArrayValue} from a packed little-endian byte array. + * + * @param packed the packed int bytes (dimension * 4 bytes) + * @param dimension the number of int elements + * @return an int-array value backed by the provided array + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 4} + */ + static IntArrayValue fromPackedArray(byte[] packed, int dimension) { + return PackedIntArray.fromPackedArray(packed, dimension); + } + + /** + * Creates an {@link IntArrayValue} from an int array. + * + * @param values the int values + * @return an int-array value backed by the provided array + */ + static IntArrayValue fromIntArray(int[] values) { + return new PrimitiveIntArray(values); + } + + /** Number of int elements. */ + int dimension(); + + /** True if backed by little-endian packed bytes. */ + boolean isPackedLE(); + + /** + * Packed bytes for the int vector (LE, 4 * dimension bytes). + * Only valid when isPackedLE() == true. + */ + BytesReference packedBytes(); + + /** Random access (packed reads 4 bytes at i*4; non-packed returns v[i]). */ + int get(int i); + + /** + * Convenience; allocates an int array for packed values. + * Zero-copy decoding is used when the packed value is backed by a usable byte array. + * For other BytesReference implementations, decoding may lazily materialize one cached + * byte array. + */ + int[] asIntArray(); + + @Override + default int size() { + return dimension(); + } + + @Override + default void writeBodyTo(StreamOutput out) throws IOException { + out.writeBoolean(isPackedLE()); + writePayloadTo(out); + } + + void writePayloadTo(StreamOutput out) throws IOException; + + static IntArrayValue readBodyFrom(StreamInput in) throws IOException { + final boolean packedLE = in.readBoolean(); + if (packedLE) { + final int dim = in.readVInt(); + return PackedIntArray.readBodyFrom(in, dim); + } else { + return PrimitiveIntArray.readBodyFrom(in); + } + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/LongArrayValue.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/LongArrayValue.java new file mode 100644 index 0000000000000..c5146a53caf86 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/LongArrayValue.java @@ -0,0 +1,108 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; + +/** + * A long array value used in {@link ExtraFieldValue}. + * + *

        Supports both primitive (decoded) and packed (little-endian) representations.

        + */ +public non-sealed interface LongArrayValue extends ExtraFieldValue { + + @Override + default Type type() { + return Type.LONG_ARRAY; + } + + /** + * Creates a {@link LongArrayValue} from packed little-endian bytes. + * + * @param packed the packed long bytes (dimension * 8 bytes) + * @param dimension the number of long elements + * @return a long-array value backed by the provided bytes + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 8} + */ + static LongArrayValue fromPackedBytes(BytesReference packed, int dimension) { + return PackedLongArray.fromPackedBytes(packed, dimension); + } + + /** + * Creates a {@link LongArrayValue} from a packed little-endian byte array. + * + * @param packed the packed long bytes (dimension * 8 bytes) + * @param dimension the number of long elements + * @return a long-array value backed by the provided array + * @throws IllegalArgumentException if the byte length does not match {@code dimension * 8} + */ + static LongArrayValue fromPackedArray(byte[] packed, int dimension) { + return PackedLongArray.fromPackedArray(packed, dimension); + } + + /** + * Creates a {@link LongArrayValue} from a long array. + * + * @param values the long values + * @return a long-array value backed by the provided array + */ + static LongArrayValue fromLongArray(long[] values) { + return new PrimitiveLongArray(values); + } + + /** Number of long elements. */ + int dimension(); + + /** True if backed by little-endian packed bytes. */ + boolean isPackedLE(); + + /** + * Packed bytes for the long vector (LE, 8 * dimension bytes). + * Only valid when isPackedLE() == true. + */ + BytesReference packedBytes(); + + /** Random access (packed reads 8 bytes at i*8; non-packed returns v[i]). */ + long get(int i); + + /** + * Convenience; allocates a long array for packed values. + * Zero-copy decoding is used when the packed value is backed by a usable byte array. + * For other BytesReference implementations, decoding may lazily materialize one cached + * byte array. + */ + long[] asLongArray(); + + @Override + default int size() { + return dimension(); + } + + @Override + default void writeBodyTo(StreamOutput out) throws IOException { + out.writeBoolean(isPackedLE()); + writePayloadTo(out); + } + + void writePayloadTo(StreamOutput out) throws IOException; + + static LongArrayValue readBodyFrom(StreamInput in) throws IOException { + final boolean packedLE = in.readBoolean(); + if (packedLE) { + final int dim = in.readVInt(); + return PackedLongArray.readBodyFrom(in, dim); + } else { + return PrimitiveLongArray.readBodyFrom(in); + } + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedDoubleArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedDoubleArray.java new file mode 100644 index 0000000000000..0ebce002b0991 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedDoubleArray.java @@ -0,0 +1,79 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Packed little-endian doubles. + * + *

        Canonical storage is a {@link BytesReference} for efficient transport.

        + */ +final class PackedDoubleArray extends AbstractPackedArray implements DoubleArrayValue { + + private volatile double[] cached; + + static PackedDoubleArray fromPackedBytes(BytesReference packed, int dimension) { + Objects.requireNonNull(packed, "packed must not be null"); + return new PackedDoubleArray(packed, dimension, null, 0); + } + + static PackedDoubleArray fromPackedArray(byte[] packedArray, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + return fromPackedArray(packedArray, 0, packedArray.length, dimension); + } + + static PackedDoubleArray fromPackedArray(byte[] packedArray, int offset, int length, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + BytesReference packed = new BytesArray(packedArray, offset, length); + return new PackedDoubleArray(packed, dimension, packedArray, offset); + } + + private PackedDoubleArray(BytesReference packed, int dimension, byte[] bytes, int bytesOffset) { + super(packed, dimension, bytes, bytesOffset, Double.BYTES, "double"); + } + + static PackedDoubleArray readBodyFrom(StreamInput in, int dim) throws IOException { + return fromPackedBytes(in.readBytesReference(), dim); + } + + @Override + public double get(int i) { + checkIndex(i); + double[] v = cached; + if (v != null) { + return v[i]; + } + ResolvedBytes resolved = ensureBytes(); + return decodeDoubleLEAt(resolved.bytes, resolved.offset + i * Double.BYTES); + } + + @Override + public double[] asDoubleArray() { + double[] v = cached; + if (v != null) return v; + + ResolvedBytes resolved = ensureBytes(); + + v = new double[dimension]; + int p = resolved.offset; + for (int i = 0; i < dimension; i++) { + v[i] = decodeDoubleLEAt(resolved.bytes, p); + p += Double.BYTES; + } + + cached = v; + return v; + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedFloatArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedFloatArray.java index fc5e8daa49dce..7586392e52c77 100644 --- a/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedFloatArray.java +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedFloatArray.java @@ -11,7 +11,6 @@ import org.opensearch.core.common.bytes.BytesArray; import org.opensearch.core.common.bytes.BytesReference; import org.opensearch.core.common.io.stream.StreamInput; -import org.opensearch.core.common.io.stream.StreamOutput; import java.io.IOException; import java.util.Objects; @@ -32,14 +31,7 @@ * transiently materialize/allocate more than once, but results are equivalent.

        */ -final class PackedFloatArray implements FloatArrayValue { - - private final BytesReference packed; - private final int dimension; - - // Lazily materialized backing for fast decoding - private volatile byte[] bytes; - private volatile int bytesOffset; +final class PackedFloatArray extends AbstractPackedArray implements FloatArrayValue { private volatile float[] cached; @@ -49,6 +41,7 @@ public static PackedFloatArray fromPackedBytes(BytesReference packed, int dimens } public static PackedFloatArray fromPackedArray(byte[] packedArray, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); return fromPackedArray(packedArray, 0, packedArray.length, dimension); } @@ -59,77 +52,22 @@ public static PackedFloatArray fromPackedArray(byte[] packedArray, int offset, i } private PackedFloatArray(BytesReference packed, int dimension, byte[] bytes, int bytesOffset) { - this.packed = packed; - this.dimension = dimension; - this.bytes = bytes; - this.bytesOffset = bytesOffset; - validate(packed.length(), dimension); - } - - @Override - public int dimension() { - return dimension; - } - - @Override - public boolean isPackedLE() { - return true; - } - - @Override - public BytesReference packedBytes() { - return packed; - } - - @Override - public void writePayloadTo(StreamOutput out) throws IOException { - out.writeVInt(dimension()); - out.writeBytesReference(packed); + super(packed, dimension, bytes, bytesOffset, Float.BYTES, "float"); } static PackedFloatArray readBodyFrom(StreamInput in, int dim) throws IOException { return fromPackedBytes(in.readBytesReference(), dim); } - private void ensureBytes() { - if (bytes != null) { - return; - } - - byte[] arr; - int off; - - // Avoid compaction/copy for the common array-backed case - // Otherwise, compact once if needed (composite/paged/etc). - if (packed instanceof BytesArray ba) { - arr = ba.array(); - off = ba.offset(); - } else { - arr = BytesReference.toBytes(packed); - off = 0; - } - - bytesOffset = off; - bytes = arr; - } - - private float decodeAt(final int p) { - final byte[] a = bytes; - final int bits = (a[p] & 0xFF) | ((a[p + 1] & 0xFF) << 8) | ((a[p + 2] & 0xFF) << 16) | ((a[p + 3] & 0xFF) << 24); - return Float.intBitsToFloat(bits); - } - @Override public float get(int i) { - if (i < 0 || i >= dimension) { - throw new IndexOutOfBoundsException("i=" + i + " dim=" + dimension); - } + checkIndex(i); float[] v = cached; if (v != null) { return v[i]; } - ensureBytes(); - return decodeAt(bytesOffset + (i << 2)); + ResolvedBytes resolved = ensureBytes(); + return decodeFloatLEAt(resolved.bytes, resolved.offset + i * Float.BYTES); } @Override @@ -137,31 +75,16 @@ public float[] asFloatArray() { float[] v = cached; if (v != null) return v; - ensureBytes(); + ResolvedBytes resolved = ensureBytes(); v = new float[dimension]; - int p = bytesOffset; + int p = resolved.offset; for (int i = 0; i < dimension; i++) { - v[i] = decodeAt(p); - p += 4; + v[i] = decodeFloatLEAt(resolved.bytes, p); + p += Float.BYTES; } cached = v; return v; } - - private static void validate(int byteLen, int dim) { - if (dim < 0) { - throw new IllegalArgumentException("dimension must be >= 0 (got " + dim + ")"); - } - final int expected; - try { - expected = Math.multiplyExact(dim, 4); - } catch (ArithmeticException e) { - throw new IllegalArgumentException("dimension too large: " + dim, e); - } - if (byteLen != expected) { - throw new IllegalArgumentException("Bad packed float length=" + byteLen + " expected=" + expected + " (dim=" + dim + ")"); - } - } } diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedIntArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedIntArray.java new file mode 100644 index 0000000000000..9ef123d8aabb7 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedIntArray.java @@ -0,0 +1,79 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Packed little-endian ints. + * + *

        Canonical storage is a {@link BytesReference} for efficient transport.

        + */ +final class PackedIntArray extends AbstractPackedArray implements IntArrayValue { + + private volatile int[] cached; + + static PackedIntArray fromPackedBytes(BytesReference packed, int dimension) { + Objects.requireNonNull(packed, "packed must not be null"); + return new PackedIntArray(packed, dimension, null, 0); + } + + static PackedIntArray fromPackedArray(byte[] packedArray, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + return fromPackedArray(packedArray, 0, packedArray.length, dimension); + } + + static PackedIntArray fromPackedArray(byte[] packedArray, int offset, int length, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + BytesReference packed = new BytesArray(packedArray, offset, length); + return new PackedIntArray(packed, dimension, packedArray, offset); + } + + private PackedIntArray(BytesReference packed, int dimension, byte[] bytes, int bytesOffset) { + super(packed, dimension, bytes, bytesOffset, Integer.BYTES, "int"); + } + + static PackedIntArray readBodyFrom(StreamInput in, int dim) throws IOException { + return fromPackedBytes(in.readBytesReference(), dim); + } + + @Override + public int get(int i) { + checkIndex(i); + int[] v = cached; + if (v != null) { + return v[i]; + } + ResolvedBytes resolved = ensureBytes(); + return decodeIntLEAt(resolved.bytes, resolved.offset + i * Integer.BYTES); + } + + @Override + public int[] asIntArray() { + int[] v = cached; + if (v != null) return v; + + ResolvedBytes resolved = ensureBytes(); + + v = new int[dimension]; + int p = resolved.offset; + for (int i = 0; i < dimension; i++) { + v[i] = decodeIntLEAt(resolved.bytes, p); + p += Integer.BYTES; + } + + cached = v; + return v; + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedLongArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedLongArray.java new file mode 100644 index 0000000000000..4ddd5f6d2bd7a --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PackedLongArray.java @@ -0,0 +1,79 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.bytes.BytesArray; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.core.common.io.stream.StreamInput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Packed little-endian longs. + * + *

        Canonical storage is a {@link BytesReference} for efficient transport.

        + */ +final class PackedLongArray extends AbstractPackedArray implements LongArrayValue { + + private volatile long[] cached; + + static PackedLongArray fromPackedBytes(BytesReference packed, int dimension) { + Objects.requireNonNull(packed, "packed must not be null"); + return new PackedLongArray(packed, dimension, null, 0); + } + + static PackedLongArray fromPackedArray(byte[] packedArray, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + return fromPackedArray(packedArray, 0, packedArray.length, dimension); + } + + static PackedLongArray fromPackedArray(byte[] packedArray, int offset, int length, int dimension) { + Objects.requireNonNull(packedArray, "packedArray must not be null"); + BytesReference packed = new BytesArray(packedArray, offset, length); + return new PackedLongArray(packed, dimension, packedArray, offset); + } + + private PackedLongArray(BytesReference packed, int dimension, byte[] bytes, int bytesOffset) { + super(packed, dimension, bytes, bytesOffset, Long.BYTES, "long"); + } + + static PackedLongArray readBodyFrom(StreamInput in, int dim) throws IOException { + return fromPackedBytes(in.readBytesReference(), dim); + } + + @Override + public long get(int i) { + checkIndex(i); + long[] v = cached; + if (v != null) { + return v[i]; + } + ResolvedBytes resolved = ensureBytes(); + return decodeLongLEAt(resolved.bytes, resolved.offset + i * Long.BYTES); + } + + @Override + public long[] asLongArray() { + long[] v = cached; + if (v != null) return v; + + ResolvedBytes resolved = ensureBytes(); + + v = new long[dimension]; + int p = resolved.offset; + for (int i = 0; i < dimension; i++) { + v[i] = decodeLongLEAt(resolved.bytes, p); + p += Long.BYTES; + } + + cached = v; + return v; + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveDoubleArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveDoubleArray.java new file mode 100644 index 0000000000000..ba375f128276a --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveDoubleArray.java @@ -0,0 +1,47 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Primitive doubles. + * This can be used by clients that already have double[]. + */ +final class PrimitiveDoubleArray extends AbstractPrimitiveArray implements DoubleArrayValue { + private final double[] v; + + PrimitiveDoubleArray(double[] v) { + super(Objects.requireNonNull(v, "values must not be null").length); + this.v = v; + } + + @Override + public double get(int i) { + return v[i]; + } + + @Override + public double[] asDoubleArray() { + return v; + } + + @Override + public void writePayloadTo(StreamOutput out) throws IOException { + out.writeDoubleArray(v); + } + + static PrimitiveDoubleArray readBodyFrom(StreamInput in) throws IOException { + return new PrimitiveDoubleArray(in.readDoubleArray()); + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveFloatArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveFloatArray.java index a921863b39859..c03222d697634 100644 --- a/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveFloatArray.java +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveFloatArray.java @@ -8,38 +8,24 @@ package org.opensearch.index.mapper.extrasource; -import org.opensearch.core.common.bytes.BytesReference; import org.opensearch.core.common.io.stream.StreamInput; import org.opensearch.core.common.io.stream.StreamOutput; import java.io.IOException; +import java.util.Objects; /** * Primitive floats * This can be used by clients that already have float[]. */ -final class PrimitiveFloatArray implements FloatArrayValue { +final class PrimitiveFloatArray extends AbstractPrimitiveArray implements FloatArrayValue { private final float[] v; public PrimitiveFloatArray(float[] v) { + super(Objects.requireNonNull(v, "values must not be null").length); this.v = v; } - @Override - public int dimension() { - return v.length; - } - - @Override - public boolean isPackedLE() { - return false; - } - - @Override - public BytesReference packedBytes() { - throw new IllegalStateException("Not packed"); - } - @Override public float get(int i) { return v[i]; diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveIntArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveIntArray.java new file mode 100644 index 0000000000000..b258108c86de9 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveIntArray.java @@ -0,0 +1,47 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Primitive ints. + * This can be used by clients that already have int[]. + */ +final class PrimitiveIntArray extends AbstractPrimitiveArray implements IntArrayValue { + private final int[] v; + + PrimitiveIntArray(int[] v) { + super(Objects.requireNonNull(v, "values must not be null").length); + this.v = v; + } + + @Override + public int get(int i) { + return v[i]; + } + + @Override + public int[] asIntArray() { + return v; + } + + @Override + public void writePayloadTo(StreamOutput out) throws IOException { + out.writeIntArray(v); + } + + static PrimitiveIntArray readBodyFrom(StreamInput in) throws IOException { + return new PrimitiveIntArray(in.readIntArray()); + } +} diff --git a/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveLongArray.java b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveLongArray.java new file mode 100644 index 0000000000000..1d6d8559ce314 --- /dev/null +++ b/server/src/main/java/org/opensearch/index/mapper/extrasource/PrimitiveLongArray.java @@ -0,0 +1,47 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.core.common.io.stream.StreamOutput; + +import java.io.IOException; +import java.util.Objects; + +/** + * Primitive longs. + * This can be used by clients that already have long[]. + */ +final class PrimitiveLongArray extends AbstractPrimitiveArray implements LongArrayValue { + private final long[] v; + + PrimitiveLongArray(long[] v) { + super(Objects.requireNonNull(v, "values must not be null").length); + this.v = v; + } + + @Override + public long get(int i) { + return v[i]; + } + + @Override + public long[] asLongArray() { + return v; + } + + @Override + public void writePayloadTo(StreamOutput out) throws IOException { + out.writeLongArray(v); + } + + static PrimitiveLongArray readBodyFrom(StreamInput in) throws IOException { + return new PrimitiveLongArray(in.readLongArray()); + } +} diff --git a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValueTests.java b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValueTests.java index 1db5388afe8bc..56352d5656101 100644 --- a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValueTests.java +++ b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValueTests.java @@ -14,6 +14,9 @@ import org.opensearch.core.common.io.stream.StreamInput; import org.opensearch.test.OpenSearchTestCase; +import java.nio.ByteBuffer; +import java.nio.ByteOrder; + import static org.hamcrest.Matchers.containsString; import static org.hamcrest.Matchers.instanceOf; import static org.hamcrest.Matchers.is; @@ -39,7 +42,7 @@ public void testBytesValueWriteReadRoundTrip() throws Exception { } public void testFloatArrayWriteReadRoundTrip() throws Exception { - PrimitiveFloatArray v = new PrimitiveFloatArray(new float[] { 10.5f, -2.25f }); + FloatArrayValue v = FloatArrayValue.fromFloatArray(new float[] { 10.5f, -2.25f }); BytesStreamOutput out = new BytesStreamOutput(); v.writeTo(out); @@ -56,6 +59,114 @@ public void testFloatArrayWriteReadRoundTrip() throws Exception { assertEquals(-2.25f, fav.get(1), 0.0f); } + public void testIntArrayWriteReadRoundTrip() throws Exception { + IntArrayValue v = IntArrayValue.fromIntArray(new int[] { 10, -2 }); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(IntArrayValue.class)); + IntArrayValue iav = (IntArrayValue) read; + + assertThat(iav.type(), is(ExtraFieldValue.Type.INT_ARRAY)); + assertThat(iav.dimension(), is(2)); + assertThat(iav.get(0), is(10)); + assertThat(iav.get(1), is(-2)); + } + + public void testLongArrayWriteReadRoundTrip() throws Exception { + LongArrayValue v = LongArrayValue.fromLongArray(new long[] { 10L, -2L }); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(LongArrayValue.class)); + LongArrayValue lav = (LongArrayValue) read; + + assertThat(lav.type(), is(ExtraFieldValue.Type.LONG_ARRAY)); + assertThat(lav.dimension(), is(2)); + assertThat(lav.get(0), is(10L)); + assertThat(lav.get(1), is(-2L)); + } + + public void testDoubleArrayWriteReadRoundTrip() throws Exception { + DoubleArrayValue v = DoubleArrayValue.fromDoubleArray(new double[] { 10.5d, -2.25d }); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(DoubleArrayValue.class)); + DoubleArrayValue dav = (DoubleArrayValue) read; + + assertThat(dav.type(), is(ExtraFieldValue.Type.DOUBLE_ARRAY)); + assertThat(dav.dimension(), is(2)); + assertEquals(10.5d, dav.get(0), 0.0d); + assertEquals(-2.25d, dav.get(1), 0.0d); + } + + public void testPackedIntArrayWriteReadRoundTrip() throws Exception { + int[] vals = new int[] { 10, -2 }; + IntArrayValue v = IntArrayValue.fromPackedArray(packIntLE(vals), vals.length); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(IntArrayValue.class)); + IntArrayValue iav = (IntArrayValue) read; + + assertThat(iav.type(), is(ExtraFieldValue.Type.INT_ARRAY)); + assertThat(iav.isPackedLE(), is(true)); + assertArrayEquals(vals, iav.asIntArray()); + } + + public void testPackedLongArrayWriteReadRoundTrip() throws Exception { + long[] vals = new long[] { 10L, -2L }; + LongArrayValue v = LongArrayValue.fromPackedArray(packLongLE(vals), vals.length); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(LongArrayValue.class)); + LongArrayValue lav = (LongArrayValue) read; + + assertThat(lav.type(), is(ExtraFieldValue.Type.LONG_ARRAY)); + assertThat(lav.isPackedLE(), is(true)); + assertArrayEquals(vals, lav.asLongArray()); + } + + public void testPackedDoubleArrayWriteReadRoundTrip() throws Exception { + double[] vals = new double[] { 10.5d, -2.25d }; + DoubleArrayValue v = DoubleArrayValue.fromPackedArray(packDoubleLE(vals), vals.length); + + BytesStreamOutput out = new BytesStreamOutput(); + v.writeTo(out); + + StreamInput in = out.bytes().streamInput(); + ExtraFieldValue read = ExtraFieldValue.readFrom(in); + + assertThat(read, instanceOf(DoubleArrayValue.class)); + DoubleArrayValue dav = (DoubleArrayValue) read; + + assertThat(dav.type(), is(ExtraFieldValue.Type.DOUBLE_ARRAY)); + assertThat(dav.isPackedLE(), is(true)); + assertArrayEquals(vals, dav.asDoubleArray(), 0.0d); + } + public void testUnknownTypeIdThrows() throws Exception { BytesStreamOutput out = new BytesStreamOutput(); @@ -67,4 +178,28 @@ public void testUnknownTypeIdThrows() throws Exception { IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> ExtraFieldValue.readFrom(in)); assertThat(e.getMessage(), containsString("Unknown ExtraFieldValue.Type id")); } + + private static byte[] packIntLE(int[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Integer.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (int value : vals) { + buffer.putInt(value); + } + return buffer.array(); + } + + private static byte[] packLongLE(long[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Long.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (long value : vals) { + buffer.putLong(value); + } + return buffer.array(); + } + + private static byte[] packDoubleLE(double[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Double.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (double value : vals) { + buffer.putDouble(value); + } + return buffer.array(); + } } diff --git a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesIngestTests.java b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesIngestTests.java index 2e439964051dd..08aadeb41523e 100644 --- a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesIngestTests.java +++ b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesIngestTests.java @@ -81,7 +81,7 @@ public void testExtraFieldValues_floatArray_nestedObjectPath() throws Exception var source = source(b -> b.field("other", "x")); - ExtraFieldValues efv = new ExtraFieldValues(Map.of("obj.vec", new PrimitiveFloatArray(new float[] { 10.5f, 20.25f }))); + ExtraFieldValues efv = new ExtraFieldValues(Map.of("obj.vec", FloatArrayValue.fromFloatArray(new float[] { 10.5f, 20.25f }))); SourceToParse stp = new SourceToParse( "test", @@ -99,6 +99,62 @@ public void testExtraFieldValues_floatArray_nestedObjectPath() throws Exception assertThat(doc.rootDoc().getField("obj.vec_f0").numericValue().floatValue(), is(10.5f)); } + public void testExtraFieldValues_numericArrayTypes() throws Exception { + DocumentMapper dm = createDocumentMapper(mapping(b -> { + b.startObject("int_field"); + { + b.field("type", ExtraFieldValuesMapperPlugin.EXTRA_FIELDS_TEST); + } + b.endObject(); + b.startObject("long_field"); + { + b.field("type", ExtraFieldValuesMapperPlugin.EXTRA_FIELDS_TEST); + } + b.endObject(); + b.startObject("double_field"); + { + b.field("type", ExtraFieldValuesMapperPlugin.EXTRA_FIELDS_TEST); + } + b.endObject(); + })); + + var source = source(b -> b.field("other", "x")); + + ExtraFieldValues efv = new ExtraFieldValues( + Map.of( + "int_field", + IntArrayValue.fromIntArray(new int[] { 10, 20 }), + "long_field", + LongArrayValue.fromLongArray(new long[] { 100L, 200L }), + "double_field", + DoubleArrayValue.fromDoubleArray(new double[] { 1.5d, 2.5d }) + ) + ); + + SourceToParse stp = new SourceToParse( + "test", + "1", + source.source(), + MediaType.fromMediaType(source.getMediaType().mediaType()), + null, + efv + ); + + ParsedDocument doc = dm.parse(stp); + + assertThat(doc.rootDoc().getField("int_field_type").binaryValue().utf8ToString(), is("INT_ARRAY")); + assertThat(doc.rootDoc().getField("int_field_dim").numericValue().intValue(), is(2)); + assertThat(doc.rootDoc().getField("int_field_i0").numericValue().intValue(), is(10)); + + assertThat(doc.rootDoc().getField("long_field_type").binaryValue().utf8ToString(), is("LONG_ARRAY")); + assertThat(doc.rootDoc().getField("long_field_dim").numericValue().intValue(), is(2)); + assertThat(doc.rootDoc().getField("long_field_l0").numericValue().longValue(), is(100L)); + + assertThat(doc.rootDoc().getField("double_field_type").binaryValue().utf8ToString(), is("DOUBLE_ARRAY")); + assertThat(doc.rootDoc().getField("double_field_dim").numericValue().intValue(), is(2)); + assertThat(doc.rootDoc().getField("double_field_d0").numericValue().doubleValue(), is(1.5d)); + } + public void testExtraFieldValues_throwsIfNoMapper() throws Exception { DocumentMapper dm = createDocumentMapper(mapping(b -> { b.startObject("obj"); diff --git a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesTests.java b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesTests.java index 97ee81fb1e609..9a1a094a83a2f 100644 --- a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesTests.java +++ b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraFieldValuesTests.java @@ -61,7 +61,13 @@ public void testWriteReadRoundTrip() throws Exception { "field_bytes", new BytesValue(new BytesArray(new byte[] { 9, 8, 7 })), "field_vec", - new PrimitiveFloatArray(new float[] { 1.25f, -3.75f }) + FloatArrayValue.fromFloatArray(new float[] { 1.25f, -3.75f }), + "field_ints", + IntArrayValue.fromIntArray(new int[] { 10, -20 }), + "field_longs", + LongArrayValue.fromLongArray(new long[] { 100L, -200L }), + "field_doubles", + DoubleArrayValue.fromDoubleArray(new double[] { 2.5d, -4.5d }) ) ); @@ -72,7 +78,7 @@ public void testWriteReadRoundTrip() throws Exception { ExtraFieldValues read = new ExtraFieldValues(in); assertThat(read.isEmpty(), is(false)); - assertThat(read.values().keySet(), containsInAnyOrder("field_bytes", "field_vec")); + assertThat(read.values().keySet(), containsInAnyOrder("field_bytes", "field_vec", "field_ints", "field_longs", "field_doubles")); ExtraFieldValue v1 = read.get("field_bytes"); assertThat(v1, instanceOf(BytesValue.class)); @@ -86,5 +92,29 @@ public void testWriteReadRoundTrip() throws Exception { assertThat(fav.dimension(), is(2)); assertEquals(1.25f, fav.get(0), 0.0f); assertEquals(-3.75f, fav.get(1), 0.0f); + + ExtraFieldValue v3 = read.get("field_ints"); + assertThat(v3, instanceOf(IntArrayValue.class)); + IntArrayValue iav = (IntArrayValue) v3; + assertThat(iav.type(), is(ExtraFieldValue.Type.INT_ARRAY)); + assertThat(iav.dimension(), is(2)); + assertThat(iav.get(0), is(10)); + assertThat(iav.get(1), is(-20)); + + ExtraFieldValue v4 = read.get("field_longs"); + assertThat(v4, instanceOf(LongArrayValue.class)); + LongArrayValue lav = (LongArrayValue) v4; + assertThat(lav.type(), is(ExtraFieldValue.Type.LONG_ARRAY)); + assertThat(lav.dimension(), is(2)); + assertThat(lav.get(0), is(100L)); + assertThat(lav.get(1), is(-200L)); + + ExtraFieldValue v5 = read.get("field_doubles"); + assertThat(v5, instanceOf(DoubleArrayValue.class)); + DoubleArrayValue dav = (DoubleArrayValue) v5; + assertThat(dav.type(), is(ExtraFieldValue.Type.DOUBLE_ARRAY)); + assertThat(dav.dimension(), is(2)); + assertEquals(2.5d, dav.get(0), 0.0d); + assertEquals(-4.5d, dav.get(1), 0.0d); } } diff --git a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraTestFieldMapper.java b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraTestFieldMapper.java index 5ca99de21aa4d..f891b51e52611 100644 --- a/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraTestFieldMapper.java +++ b/server/src/test/java/org/opensearch/index/mapper/extrasource/ExtraTestFieldMapper.java @@ -98,6 +98,21 @@ protected void parseCreateField(ParseContext context) { if (fav.dimension() > 0) { context.doc().add(new StoredField(fieldType().name() + "_f0", fav.get(0))); } + } else if (v instanceof IntArrayValue iav) { + context.doc().add(new StoredField(fieldType().name() + "_dim", iav.dimension())); + if (iav.dimension() > 0) { + context.doc().add(new StoredField(fieldType().name() + "_i0", iav.get(0))); + } + } else if (v instanceof LongArrayValue lav) { + context.doc().add(new StoredField(fieldType().name() + "_dim", lav.dimension())); + if (lav.dimension() > 0) { + context.doc().add(new StoredField(fieldType().name() + "_l0", lav.get(0))); + } + } else if (v instanceof DoubleArrayValue dav) { + context.doc().add(new StoredField(fieldType().name() + "_dim", dav.dimension())); + if (dav.dimension() > 0) { + context.doc().add(new StoredField(fieldType().name() + "_d0", dav.get(0))); + } } else { throw new MapperParsingException("Unsupported ExtraFieldValue impl: " + v.getClass().getName()); } diff --git a/server/src/test/java/org/opensearch/index/mapper/extrasource/NumericArrayValueTests.java b/server/src/test/java/org/opensearch/index/mapper/extrasource/NumericArrayValueTests.java new file mode 100644 index 0000000000000..5ad554c90dbcb --- /dev/null +++ b/server/src/test/java/org/opensearch/index/mapper/extrasource/NumericArrayValueTests.java @@ -0,0 +1,213 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.index.mapper.extrasource; + +import org.opensearch.common.io.stream.BytesStreamOutput; +import org.opensearch.core.common.io.stream.StreamInput; +import org.opensearch.test.OpenSearchTestCase; + +import java.nio.ByteBuffer; +import java.nio.ByteOrder; + +import static org.hamcrest.Matchers.containsString; +import static org.hamcrest.Matchers.is; +import static org.hamcrest.Matchers.sameInstance; + +public class NumericArrayValueTests extends OpenSearchTestCase { + + public void testPrimitiveIntArray() throws Exception { + int[] vals = new int[] { 10, -2, 0, Integer.MIN_VALUE, Integer.MAX_VALUE }; + IntArrayValue array = IntArrayValue.fromIntArray(vals); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(false)); + assertThat(array.asIntArray(), sameInstance(vals)); + for (int i = 0; i < vals.length; i++) { + assertThat(array.get(i), is(vals[i])); + } + expectThrows(IllegalStateException.class, array::packedBytes); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + PrimitiveIntArray read = PrimitiveIntArray.readBodyFrom(in); + assertArrayEquals(vals, read.asIntArray()); + } + + public void testPackedIntArray() throws Exception { + int[] vals = new int[] { 10, -2, 0, Integer.MIN_VALUE, Integer.MAX_VALUE }; + IntArrayValue array = IntArrayValue.fromPackedArray(packIntLE(vals), vals.length); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(true)); + for (int i = 0; i < vals.length; i++) { + assertThat(array.get(i), is(vals[i])); + } + assertArrayEquals(vals, array.asIntArray()); + assertThat(array.asIntArray(), sameInstance(array.asIntArray())); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + assertThat(in.readVInt(), is(vals.length)); + PackedIntArray read = PackedIntArray.readBodyFrom(in, vals.length); + assertArrayEquals(vals, read.asIntArray()); + + IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> IntArrayValue.fromPackedArray(new byte[3], 1)); + assertThat(e.getMessage(), containsString("Bad packed int length")); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(-1)); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(vals.length)); + } + + public void testPrimitiveLongArray() throws Exception { + long[] vals = new long[] { 10L, -2L, 0L, Long.MIN_VALUE, Long.MAX_VALUE }; + LongArrayValue array = LongArrayValue.fromLongArray(vals); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(false)); + assertThat(array.asLongArray(), sameInstance(vals)); + for (int i = 0; i < vals.length; i++) { + assertThat(array.get(i), is(vals[i])); + } + expectThrows(IllegalStateException.class, array::packedBytes); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + PrimitiveLongArray read = PrimitiveLongArray.readBodyFrom(in); + assertArrayEquals(vals, read.asLongArray()); + } + + public void testPackedLongArray() throws Exception { + long[] vals = new long[] { 10L, -2L, 0L, Long.MIN_VALUE, Long.MAX_VALUE }; + LongArrayValue array = LongArrayValue.fromPackedArray(packLongLE(vals), vals.length); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(true)); + for (int i = 0; i < vals.length; i++) { + assertThat(array.get(i), is(vals[i])); + } + assertArrayEquals(vals, array.asLongArray()); + assertThat(array.asLongArray(), sameInstance(array.asLongArray())); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + assertThat(in.readVInt(), is(vals.length)); + PackedLongArray read = PackedLongArray.readBodyFrom(in, vals.length); + assertArrayEquals(vals, read.asLongArray()); + + IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> LongArrayValue.fromPackedArray(new byte[7], 1)); + assertThat(e.getMessage(), containsString("Bad packed long length")); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(-1)); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(vals.length)); + } + + public void testPrimitiveDoubleArray() throws Exception { + double[] vals = new double[] { 10.5d, -2.25d, 0d, Double.MIN_VALUE, Double.MAX_VALUE }; + DoubleArrayValue array = DoubleArrayValue.fromDoubleArray(vals); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(false)); + assertThat(array.asDoubleArray(), sameInstance(vals)); + for (int i = 0; i < vals.length; i++) { + assertEquals(vals[i], array.get(i), 0.0d); + } + expectThrows(IllegalStateException.class, array::packedBytes); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + PrimitiveDoubleArray read = PrimitiveDoubleArray.readBodyFrom(in); + assertArrayEquals(vals, read.asDoubleArray(), 0.0d); + } + + public void testPackedDoubleArray() throws Exception { + double[] vals = new double[] { 10.5d, -2.25d, 0d, Double.MIN_VALUE, Double.MAX_VALUE }; + DoubleArrayValue array = DoubleArrayValue.fromPackedArray(packDoubleLE(vals), vals.length); + + assertThat(array.dimension(), is(vals.length)); + assertThat(array.isPackedLE(), is(true)); + for (int i = 0; i < vals.length; i++) { + assertEquals(vals[i], array.get(i), 0.0d); + } + assertArrayEquals(vals, array.asDoubleArray(), 0.0d); + assertThat(array.asDoubleArray(), sameInstance(array.asDoubleArray())); + + BytesStreamOutput out = new BytesStreamOutput(); + array.writePayloadTo(out); + + StreamInput in = out.bytes().streamInput(); + assertThat(in.readVInt(), is(vals.length)); + PackedDoubleArray read = PackedDoubleArray.readBodyFrom(in, vals.length); + assertArrayEquals(vals, read.asDoubleArray(), 0.0d); + + IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> DoubleArrayValue.fromPackedArray(new byte[7], 1)); + assertThat(e.getMessage(), containsString("Bad packed double length")); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(-1)); + expectThrows(IndexOutOfBoundsException.class, () -> array.get(vals.length)); + } + + public void testPrimitiveArrayFactoriesRejectNull() { + NullPointerException floatError = expectThrows(NullPointerException.class, () -> FloatArrayValue.fromFloatArray(null)); + assertThat(floatError.getMessage(), containsString("values must not be null")); + + NullPointerException intError = expectThrows(NullPointerException.class, () -> IntArrayValue.fromIntArray(null)); + assertThat(intError.getMessage(), containsString("values must not be null")); + + NullPointerException longError = expectThrows(NullPointerException.class, () -> LongArrayValue.fromLongArray(null)); + assertThat(longError.getMessage(), containsString("values must not be null")); + + NullPointerException doubleError = expectThrows(NullPointerException.class, () -> DoubleArrayValue.fromDoubleArray(null)); + assertThat(doubleError.getMessage(), containsString("values must not be null")); + } + + public void testPackedArrayFactoriesRejectNull() { + NullPointerException floatError = expectThrows(NullPointerException.class, () -> FloatArrayValue.fromPackedArray(null, 1)); + assertThat(floatError.getMessage(), containsString("packedArray must not be null")); + + NullPointerException intError = expectThrows(NullPointerException.class, () -> IntArrayValue.fromPackedArray(null, 1)); + assertThat(intError.getMessage(), containsString("packedArray must not be null")); + + NullPointerException longError = expectThrows(NullPointerException.class, () -> LongArrayValue.fromPackedArray(null, 1)); + assertThat(longError.getMessage(), containsString("packedArray must not be null")); + + NullPointerException doubleError = expectThrows(NullPointerException.class, () -> DoubleArrayValue.fromPackedArray(null, 1)); + assertThat(doubleError.getMessage(), containsString("packedArray must not be null")); + } + + private static byte[] packIntLE(int[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Integer.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (int value : vals) { + buffer.putInt(value); + } + return buffer.array(); + } + + private static byte[] packLongLE(long[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Long.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (long value : vals) { + buffer.putLong(value); + } + return buffer.array(); + } + + private static byte[] packDoubleLE(double[] vals) { + ByteBuffer buffer = ByteBuffer.allocate(vals.length * Double.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (double value : vals) { + buffer.putDouble(value); + } + return buffer.array(); + } +} From 10e74b0824788ddabd953a9f8761a54c2f50f90a Mon Sep 17 00:00:00 2001 From: Lamine <104593675+laminelam@users.noreply.github.com> Date: Tue, 7 Jul 2026 16:43:46 -0500 Subject: [PATCH 93/94] Add gRPC API support for ExtraFieldsValues (#21907) Signed-off-by: Lamine Idjeraoui Co-authored-by: Lamine Idjeraoui --- .../bulk/BulkRequestParserProtoUtils.java | 41 ++- .../bulk/ExtraFieldValuesProtoUtils.java | 112 +++++++ .../BulkRequestParserProtoUtilsTests.java | 303 ++++++++++++++++++ .../bulk/ExtraFieldValuesProtoUtilsTests.java | 116 +++++++ 4 files changed, 571 insertions(+), 1 deletion(-) create mode 100644 modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtils.java create mode 100644 modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtilsTests.java diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtils.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtils.java index 57e021a8498e3..d708ef23104a2 100644 --- a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtils.java +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtils.java @@ -23,6 +23,7 @@ import org.opensearch.core.xcontent.MediaTypeRegistry; import org.opensearch.core.xcontent.XContentParser; import org.opensearch.index.VersionType; +import org.opensearch.index.mapper.extrasource.ExtraFieldValues; import org.opensearch.index.seqno.SequenceNumbers; import org.opensearch.protobufs.BulkRequest; import org.opensearch.protobufs.BulkRequestBody; @@ -96,7 +97,7 @@ private static Boolean valueOrDefault(Boolean value, Boolean globalDefault) { * @param byteString The protobuf ByteString to convert * @return A BytesReference wrapping the ByteString data */ - private static BytesReference byteStringToBytesReference(ByteString byteString) { + static BytesReference byteStringToBytesReference(ByteString byteString) { if (byteString == null || byteString.isEmpty()) { return BytesArray.EMPTY; } @@ -162,12 +163,14 @@ public static DocWriteRequest[] getDocWriteRequests( String pipeline = valueOrDefault(defaultPipeline, request.getPipeline()); Boolean requireAlias = valueOrDefault(defaultRequireAlias, request.getRequireAlias()); + ExtraFieldValues extraFieldValues = ExtraFieldValuesProtoUtils.fromProto(bulkRequestBodyEntry); OperationContainer operationContainer = bulkRequestBodyEntry.getOperationContainer(); switch (operationContainer.getOperationContainerCase()) { case CREATE: docWriteRequest = buildCreateRequest( operationContainer.getCreate(), bulkRequestBodyEntry.getObject(), + extraFieldValues, index, id, routing, @@ -183,6 +186,7 @@ public static DocWriteRequest[] getDocWriteRequests( docWriteRequest = buildIndexRequest( operationContainer.getIndex(), bulkRequestBodyEntry.getObject(), + extraFieldValues, opType, index, id, @@ -209,6 +213,7 @@ public static DocWriteRequest[] getDocWriteRequests( docWriteRequest = buildUpdateRequest( operationContainer.getUpdate(), updateDocBytes, + extraFieldValues, bulkRequestBodyEntry, index, id, @@ -222,6 +227,9 @@ public static DocWriteRequest[] getDocWriteRequests( ); break; case DELETE: + if (extraFieldValues.isEmpty() == false) { + throw new IllegalArgumentException("extra_field_values are not supported for delete operations"); + } docWriteRequest = buildDeleteRequest( operationContainer.getDelete(), index, @@ -250,6 +258,7 @@ public static DocWriteRequest[] getDocWriteRequests( * * @param createOperation The create operation protobuf message * @param documentBytes The document content as ByteString (zero-copy reference) + * @param extraFieldValues The extra field values to index outside {@code _source} * @param index The default index name * @param id The default document ID * @param routing The default routing value @@ -264,6 +273,7 @@ public static DocWriteRequest[] getDocWriteRequests( public static IndexRequest buildCreateRequest( WriteOperation createOperation, ByteString documentBytes, + ExtraFieldValues extraFieldValues, String index, String id, String routing, @@ -294,6 +304,7 @@ public static IndexRequest buildCreateRequest( .setIfSeqNo(ifSeqNo) .setIfPrimaryTerm(ifPrimaryTerm) .source(documentRef, mediaType) + .extraFieldValues(extraFieldValues) .setRequireAlias(requireAlias); return indexRequest; } @@ -303,6 +314,7 @@ public static IndexRequest buildCreateRequest( * * @param indexOperation The index operation protobuf message * @param documentBytes The document content as ByteString (zero-copy reference) + * @param extraFieldValues The extra field values to index outside {@code _source} * @param opType The default operation type * @param index The default index name * @param id The default document ID @@ -318,6 +330,7 @@ public static IndexRequest buildCreateRequest( public static IndexRequest buildIndexRequest( IndexOperation indexOperation, ByteString documentBytes, + ExtraFieldValues extraFieldValues, OpType opType, String index, String id, @@ -358,6 +371,7 @@ public static IndexRequest buildIndexRequest( .setIfSeqNo(ifSeqNo) .setIfPrimaryTerm(ifPrimaryTerm) .source(documentRef, mediaType) + .extraFieldValues(extraFieldValues) .setRequireAlias(requireAlias); } else { indexRequest = new IndexRequest(index).id(id) @@ -369,6 +383,7 @@ public static IndexRequest buildIndexRequest( .setIfSeqNo(ifSeqNo) .setIfPrimaryTerm(ifPrimaryTerm) .source(documentRef, mediaType) + .extraFieldValues(extraFieldValues) .setRequireAlias(requireAlias); } return indexRequest; @@ -379,6 +394,7 @@ public static IndexRequest buildIndexRequest( * * @param updateOperation The update operation protobuf message * @param documentBytes The document content as ByteString (zero-copy reference) + * @param extraFieldValues The extra field values to apply to update doc/upsert sources * @param bulkRequestBody The bulk request body containing additional update options * @param index The default index name * @param id The default document ID @@ -394,6 +410,7 @@ public static IndexRequest buildIndexRequest( public static UpdateRequest buildUpdateRequest( UpdateOperation updateOperation, ByteString documentBytes, + ExtraFieldValues extraFieldValues, BulkRequestBody bulkRequestBody, String index, String id, @@ -428,6 +445,7 @@ public static UpdateRequest buildUpdateRequest( // Populate all document-level fields updateRequest = fromProto(updateRequest, documentBytes, bulkRequestBody, ifSeqNo, ifPrimaryTerm); + applyUpdateExtraFieldValues(updateRequest, extraFieldValues); // Apply fetchSourceContext default if (fetchSourceContext != null) { @@ -443,6 +461,27 @@ public static UpdateRequest buildUpdateRequest( return updateRequest; } + private static void applyUpdateExtraFieldValues(UpdateRequest updateRequest, ExtraFieldValues extraFieldValues) { + if (extraFieldValues == null || extraFieldValues.isEmpty()) { + return; + } + + // Bulk gRPC has one extra_field_values map for the update item, so it applies to every concrete indexing path + // represented in the UpdateRequest. UpdateHelper later executes only the doc path or the upsert path. + boolean applied = false; + if (updateRequest.doc() != null) { + updateRequest.docExtraFieldValues(extraFieldValues); + applied = true; + } + if (updateRequest.upsertRequest() != null) { + updateRequest.upsertExtraFieldValues(extraFieldValues); + applied = true; + } + if (applied == false) { + throw new IllegalArgumentException("extra_field_values require an update doc or upsert document"); + } + } + /** * Populates an UpdateRequest with values from protobuf messages. * Equivalent to {@link UpdateRequest#fromXContent(XContentParser)} for REST API. diff --git a/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtils.java b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtils.java new file mode 100644 index 0000000000000..dd1f541dfe69b --- /dev/null +++ b/modules/transport-grpc/src/main/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtils.java @@ -0,0 +1,112 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.transport.grpc.proto.request.document.bulk; + +import com.google.protobuf.ByteString; +import org.opensearch.index.mapper.extrasource.BytesValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValues; +import org.opensearch.index.mapper.extrasource.FloatArrayValue; +import org.opensearch.protobufs.BinaryFieldValue; +import org.opensearch.protobufs.BulkRequestBody; +import org.opensearch.protobufs.FloatList; + +import java.util.HashMap; +import java.util.Map; + +/** + * Converts protobuf extra field values into OpenSearch extra source values. + */ +final class ExtraFieldValuesProtoUtils { + + private ExtraFieldValuesProtoUtils() {} + + static ExtraFieldValues fromProto(BulkRequestBody body) { + Map m = body.getExtraFieldValuesMap(); + if (m.isEmpty()) { + return ExtraFieldValues.EMPTY; + } + + Map out = new HashMap<>(Math.max(16, m.size() * 2)); + for (Map.Entry e : m.entrySet()) { + try { + out.put(e.getKey(), toExtraFieldValue(e.getValue())); + } catch (IllegalArgumentException ex) { + throw new IllegalArgumentException("Invalid extra_field_values entry [" + e.getKey() + "]: " + ex.getMessage(), ex); + } + } + return new ExtraFieldValues(out); + } + + private static ExtraFieldValue toExtraFieldValue(BinaryFieldValue protoVal) { + switch (protoVal.getBinaryFieldValueCase()) { + case BYTES_VALUE: { + return new BytesValue(BulkRequestParserProtoUtils.byteStringToBytesReference(protoVal.getBytesValue().getBytes())); + } + case FLOAT_ARRAY_VALUE: { + return toInternalFloatArrayValue(protoVal.getFloatArrayValue()); + } + case BINARYFIELDVALUE_NOT_SET: + default: + throw new IllegalArgumentException("Unsupported/empty BinaryFieldValue: " + protoVal.getBinaryFieldValueCase()); + } + } + + private static FloatArrayValue toInternalFloatArrayValue(org.opensearch.protobufs.FloatArrayValue fav) { + switch (fav.getEncodingCase()) { + case BINARY_LE: { + final ByteString bs = fav.getBinaryLe().getBytesLe(); + int dim = resolvePackedDimension(bs, fav.getBinaryLe().getDimension(), Float.BYTES, "float"); + return FloatArrayValue.fromPackedBytes(BulkRequestParserProtoUtils.byteStringToBytesReference(bs), dim); + } + case VALUES: { + final FloatList fl = fav.getValues(); + final int count = fl.getValuesCount(); + final float[] arr = new float[count]; + // Important: Avoid boxing, protobuf uses primitive float list internally + for (int i = 0; i < count; i++) { + arr[i] = fl.getValues(i); + } + return FloatArrayValue.fromFloatArray(arr); + } + case ENCODING_NOT_SET: + default: + throw new IllegalArgumentException("FloatArrayValue.repr is not set"); + } + } + + private static int resolvePackedDimension(ByteString bytes, int dimension, int bytesPerElement, String valueType) { + if (dimension < 0) { + throw new IllegalArgumentException(valueType + " dimension must be >= 0 but was " + dimension); + } + + int byteLength = bytes.size(); + if (dimension == 0) { + if (byteLength % bytesPerElement != 0) { + throw new IllegalArgumentException( + valueType + " packed_le byte length must be multiple of " + bytesPerElement + " but was " + byteLength + ); + } + return byteLength / bytesPerElement; + } + + final int expectedByteLength; + try { + expectedByteLength = Math.multiplyExact(dimension, bytesPerElement); + } catch (ArithmeticException e) { + throw new IllegalArgumentException(valueType + " dimension too large: " + dimension, e); + } + if (byteLength != expectedByteLength) { + throw new IllegalArgumentException( + "Bad packed " + valueType + " length=" + byteLength + " expected=" + expectedByteLength + " (dim=" + dimension + ")" + ); + } + return dimension; + } +} diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtilsTests.java index bc3cc7217591f..9909ce34583ae 100644 --- a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtilsTests.java +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/BulkRequestParserProtoUtilsTests.java @@ -19,10 +19,17 @@ import org.opensearch.core.common.bytes.BytesReference; import org.opensearch.core.xcontent.MediaType; import org.opensearch.index.VersionType; +import org.opensearch.index.mapper.extrasource.BytesValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValues; +import org.opensearch.index.mapper.extrasource.FloatArrayValue; import org.opensearch.index.seqno.SequenceNumbers; +import org.opensearch.protobufs.BinaryFieldValue; import org.opensearch.protobufs.BulkRequest; import org.opensearch.protobufs.BulkRequestBody; import org.opensearch.protobufs.DeleteOperation; +import org.opensearch.protobufs.FloatBinaryLE; +import org.opensearch.protobufs.FloatList; import org.opensearch.protobufs.IndexOperation; import org.opensearch.protobufs.OpType; import org.opensearch.protobufs.OperationContainer; @@ -30,6 +37,8 @@ import org.opensearch.protobufs.WriteOperation; import org.opensearch.test.OpenSearchTestCase; +import java.nio.ByteBuffer; +import java.nio.ByteOrder; import java.nio.charset.StandardCharsets; import static org.opensearch.index.seqno.SequenceNumbers.UNASSIGNED_PRIMARY_TERM; @@ -49,6 +58,7 @@ public void testBuildCreateRequest() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -91,6 +101,7 @@ public void testBuildIndexRequest() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -126,6 +137,7 @@ public void testBuildIndexRequestWithOpType() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, opType, "default-index", "default-id", @@ -198,6 +210,7 @@ public void testBuildUpdateRequest() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -317,6 +330,7 @@ public void testBuildCreateRequestWithDefaults() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -344,6 +358,7 @@ public void testBuildCreateRequestWithPipeline() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -376,6 +391,7 @@ public void testBuildIndexRequestWithAllFields() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, OpType.OP_TYPE_INDEX, "default-index", "default-id", @@ -409,6 +425,7 @@ public void testBuildIndexRequestWithNullOpType() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -458,6 +475,7 @@ public void testBuildUpdateRequestWithScript() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -490,6 +508,7 @@ public void testBuildUpdateRequestWithUpsert() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -520,6 +539,7 @@ public void testBuildUpdateRequestWithScriptedUpsert() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -554,6 +574,7 @@ public void testBuildUpdateRequestWithFetchSource() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -583,6 +604,7 @@ public void testBuildUpdateRequestWithoutUpdateAction() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -736,6 +758,7 @@ public void testBuildCreateRequestWithSmileContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(smileDocument), + ExtraFieldValues.EMPTY, "default-index", "default-id", null, @@ -764,6 +787,7 @@ public void testBuildCreateRequestWithCborContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(cborDocument), + ExtraFieldValues.EMPTY, "default-index", "default-id", null, @@ -792,6 +816,7 @@ public void testBuildIndexRequestWithSmileContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(smileDocument), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -820,6 +845,7 @@ public void testBuildIndexRequestWithCborContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(cborDocument), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -872,6 +898,7 @@ public void testBuildCreateRequestWithEmptyDocument() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(emptyDocument), + ExtraFieldValues.EMPTY, "default-index", "default-id", null, @@ -898,6 +925,7 @@ public void testBuildCreateRequestWithJsonContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(jsonDocument), + ExtraFieldValues.EMPTY, "default-index", "default-id", null, @@ -926,6 +954,7 @@ public void testBuildCreateRequestWithYamlContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( writeOperation, UnsafeByteOperations.unsafeWrap(yamlDocument), + ExtraFieldValues.EMPTY, "default-index", "default-id", null, @@ -954,6 +983,7 @@ public void testBuildIndexRequestWithJsonContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(jsonDocument), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -982,6 +1012,7 @@ public void testBuildIndexRequestWithYamlContent() throws Exception { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOperation, UnsafeByteOperations.unsafeWrap(yamlDocument), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -1072,6 +1103,7 @@ public void testBuildUpdateRequestWithUpsertAndPipeline() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOperation, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -1273,6 +1305,7 @@ public void testByteStringToBytesReferenceZeroCopy() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( createOp, byteString, + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -1303,6 +1336,7 @@ public void testByteStringToBytesReferenceCopy() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( createOp, byteString, + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -1330,6 +1364,7 @@ public void testByteStringToBytesReferenceEmpty() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( createOp, byteString, + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -1365,6 +1400,7 @@ public void testUpdateRequestDocFieldZeroCopy() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOp, docBytes, + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -1404,6 +1440,7 @@ public void testUpdateRequestUpsertFieldZeroCopy() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOp, UnsafeByteOperations.unsafeWrap(docBytes), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -1447,6 +1484,7 @@ public void testUpdateRequestDocAndUpsertCopy() { UpdateRequest updateRequest = BulkRequestParserProtoUtils.buildUpdateRequest( updateOp, ByteString.copyFrom(docBytes), + ExtraFieldValues.EMPTY, bulkRequestBody, "default-index", "default-id", @@ -1487,6 +1525,7 @@ public void testIndexRequestLargeDocumentZeroCopy() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildIndexRequest( indexOp, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, null, "default-index", "default-id", @@ -1517,6 +1556,7 @@ public void testCreateRequestUtf8DocumentZeroCopy() { IndexRequest indexRequest = BulkRequestParserProtoUtils.buildCreateRequest( createOp, UnsafeByteOperations.unsafeWrap(document), + ExtraFieldValues.EMPTY, "default-index", "default-id", "default-routing", @@ -1532,4 +1572,267 @@ public void testCreateRequestUtf8DocumentZeroCopy() { assertNotNull("Source should not be null", indexRequest.source()); assertEquals("Source content should match UTF-8", jsonWithUnicode, indexRequest.source().utf8ToString()); } + + public void testGetDocWriteRequestsWithExtraFieldValuesOnIndex() { + byte[] rawBytes = new byte[] { 0, 1, 2, 127, -128, -1 }; + BulkRequestBody indexBody = indexBodyBuilder().putExtraFieldValues("raw_bytes", binaryBytesValue(rawBytes)) + .putExtraFieldValues("vector_values", binaryFloatValues(1.5f, 2.5f)) + .putExtraFieldValues("vector_packed", binaryPackedFloatValue(packFloatLE(3.5f, 4.5f), 2)) + .build(); + + IndexRequest indexRequest = parseSingleIndexRequest(indexBody); + + assertBytesValue(indexRequest.extraFieldValues().get("raw_bytes"), rawBytes); + assertFloatArrayValue(indexRequest.extraFieldValues().get("vector_values"), false, 1.5f, 2.5f); + assertFloatArrayValue(indexRequest.extraFieldValues().get("vector_packed"), true, 3.5f, 4.5f); + } + + public void testGetDocWriteRequestsWithExtraFieldValuesOnCreate() { + BulkRequestBody createBody = createBodyBuilder().putExtraFieldValues("vector", binaryPackedFloatValue(packFloatLE(5.5f, 6.5f))) + .build(); + + IndexRequest createRequest = parseSingleIndexRequest(createBody); + + assertEquals(DocWriteRequest.OpType.CREATE, createRequest.opType()); + assertFloatArrayValue(createRequest.extraFieldValues().get("vector"), true, 5.5f, 6.5f); + } + + public void testGetDocWriteRequestsWithExtraFieldValuesOnUpdateDocAndUpsert() { + org.opensearch.protobufs.UpdateAction updateAction = org.opensearch.protobufs.UpdateAction.newBuilder() + .setDoc(ByteString.copyFromUtf8("{\"field\":\"updated\"}")) + .setUpsert(ByteString.copyFromUtf8("{\"field\":\"created\"}")) + .build(); + + BulkRequestBody updateBody = updateBodyBuilder(updateAction).putExtraFieldValues("vector", binaryFloatValues(3.5f, 4.5f)).build(); + + UpdateRequest updateRequest = parseSingleUpdateRequest(updateBody); + + assertNotNull(updateRequest.doc()); + assertNotNull(updateRequest.upsertRequest()); + assertFloatArrayValue(updateRequest.doc().extraFieldValues().get("vector"), false, 3.5f, 4.5f); + assertFloatArrayValue(updateRequest.upsertRequest().extraFieldValues().get("vector"), false, 3.5f, 4.5f); + } + + public void testGetDocWriteRequestsWithUpdateDocOnlyExtraFieldValues() { + BulkRequestBody updateBody = updateBodyBuilder( + org.opensearch.protobufs.UpdateAction.newBuilder().setDoc(ByteString.copyFromUtf8("{\"field\":\"updated\"}")).build() + ).putExtraFieldValues("vector", binaryFloatValues(7.5f, 8.5f)).build(); + + UpdateRequest updateRequest = parseSingleUpdateRequest(updateBody); + + assertNotNull(updateRequest.doc()); + assertNull(updateRequest.upsertRequest()); + assertFloatArrayValue(updateRequest.doc().extraFieldValues().get("vector"), false, 7.5f, 8.5f); + } + + public void testGetDocWriteRequestsWithUpdateDocAsUpsertExtraFieldValues() { + org.opensearch.protobufs.UpdateAction updateAction = org.opensearch.protobufs.UpdateAction.newBuilder() + .setDoc(ByteString.copyFromUtf8("{\"field\":\"updated\"}")) + .setDocAsUpsert(true) + .build(); + + BulkRequestBody updateBody = updateBodyBuilder(updateAction).putExtraFieldValues("vector", binaryFloatValues(9.5f, 10.5f)).build(); + + UpdateRequest updateRequest = parseSingleUpdateRequest(updateBody); + + assertTrue(updateRequest.docAsUpsert()); + assertNotNull(updateRequest.doc()); + assertNull(updateRequest.upsertRequest()); + assertFloatArrayValue(updateRequest.doc().extraFieldValues().get("vector"), false, 9.5f, 10.5f); + } + + public void testGetDocWriteRequestsWithEmptyBytesExtraFieldValue() { + IndexRequest indexRequest = parseSingleIndexRequest(indexBodyWithExtraField("raw_bytes", binaryBytesValue())); + + assertBytesValue(indexRequest.extraFieldValues().get("raw_bytes")); + } + + public void testGetDocWriteRequestsWithEmptyFloatValuesExtraFieldValue() { + IndexRequest indexRequest = parseSingleIndexRequest(indexBodyWithExtraField("vector", binaryFloatValues())); + + assertFloatArrayValue(indexRequest.extraFieldValues().get("vector"), false); + } + + public void testGetDocWriteRequestsWithEmptyPackedFloatExtraFieldValue() { + IndexRequest indexRequest = parseSingleIndexRequest(indexBodyWithExtraField("vector", binaryPackedFloatValue(new byte[0]))); + + assertFloatArrayValue(indexRequest.extraFieldValues().get("vector"), true); + } + + public void testGetDocWriteRequestsRejectsPackedFloatBytesNotMultipleOfFour() { + assertRejectsIndexExtraFieldValue(binaryPackedFloatValue(new byte[] { 1, 2, 3 })); + } + + public void testGetDocWriteRequestsRejectsInvalidExtraFieldValueWithFieldPath() { + IllegalArgumentException e = expectThrows( + IllegalArgumentException.class, + () -> parseSingleDocWriteRequest(indexBodyWithExtraField("bad_vector", binaryPackedFloatValue(new byte[] { 1, 2, 3 }))) + ); + + assertTrue(e.getMessage(), e.getMessage().contains("Invalid extra_field_values entry [bad_vector]")); + assertTrue(e.getMessage(), e.getMessage().contains("packed_le byte length")); + assertNotNull(e.getCause()); + } + + public void testGetDocWriteRequestsRejectsPackedFloatDimensionMismatch() { + assertRejectsIndexExtraFieldValue(binaryPackedFloatValue(packFloatLE(1.5f, 2.5f), 3)); + } + + public void testGetDocWriteRequestsRejectsNegativePackedFloatDimension() { + assertRejectsIndexExtraFieldValue(binaryPackedFloatValue(packFloatLE(1.5f), -1)); + } + + public void testGetDocWriteRequestsRejectsEmptyBinaryFieldValue() { + assertRejectsIndexExtraFieldValue(BinaryFieldValue.newBuilder().build()); + } + + public void testGetDocWriteRequestsRejectsEmptyFloatArrayValue() { + BinaryFieldValue emptyFloatArray = BinaryFieldValue.newBuilder() + .setFloatArrayValue(org.opensearch.protobufs.FloatArrayValue.newBuilder().build()) + .build(); + + assertRejectsIndexExtraFieldValue(emptyFloatArray); + } + + public void testGetDocWriteRequestsRejectsExtraFieldValuesOnDelete() { + BulkRequestBody deleteBody = deleteBodyBuilder().putExtraFieldValues("raw_bytes", binaryBytesValue((byte) 1)).build(); + + expectThrows(IllegalArgumentException.class, () -> parseSingleDocWriteRequest(deleteBody)); + } + + public void testGetDocWriteRequestsRejectsUpdateExtraFieldValuesWithoutDocOrUpsert() { + BulkRequestBody updateBody = updateBodyBuilder(org.opensearch.protobufs.UpdateAction.newBuilder().setDetectNoop(false).build()) + .putExtraFieldValues("vector", binaryFloatValues(1.5f)) + .build(); + + expectThrows(IllegalArgumentException.class, () -> parseSingleDocWriteRequest(updateBody)); + } + + private void assertRejectsIndexExtraFieldValue(BinaryFieldValue value) { + expectThrows(IllegalArgumentException.class, () -> parseSingleDocWriteRequest(indexBodyWithExtraField("field", value))); + } + + private IndexRequest parseSingleIndexRequest(BulkRequestBody body) { + DocWriteRequest request = parseSingleDocWriteRequest(body); + assertTrue(request instanceof IndexRequest); + return (IndexRequest) request; + } + + private UpdateRequest parseSingleUpdateRequest(BulkRequestBody body) { + DocWriteRequest request = parseSingleDocWriteRequest(body); + assertTrue(request instanceof UpdateRequest); + return (UpdateRequest) request; + } + + private DocWriteRequest parseSingleDocWriteRequest(BulkRequestBody body) { + DocWriteRequest[] requests = BulkRequestParserProtoUtils.getDocWriteRequests( + BulkRequest.newBuilder().addBulkRequestBody(body).build(), + "default-index", + null, + null, + null, + false + ); + assertEquals(1, requests.length); + return requests[0]; + } + + private static BulkRequestBody indexBodyWithExtraField(String field, BinaryFieldValue value) { + return indexBodyBuilder().putExtraFieldValues(field, value).build(); + } + + private static BulkRequestBody.Builder indexBodyBuilder() { + return BulkRequestBody.newBuilder() + .setOperationContainer( + OperationContainer.newBuilder().setIndex(IndexOperation.newBuilder().setXIndex("test-index").build()).build() + ) + .setObject(ByteString.copyFromUtf8("{\"field\":\"value\"}")); + } + + private static BulkRequestBody.Builder createBodyBuilder() { + return BulkRequestBody.newBuilder() + .setOperationContainer( + OperationContainer.newBuilder() + .setCreate(WriteOperation.newBuilder().setXIndex("test-index").setXId("test-id").build()) + .build() + ) + .setObject(ByteString.copyFromUtf8("{\"field\":\"value\"}")); + } + + private static BulkRequestBody.Builder updateBodyBuilder(org.opensearch.protobufs.UpdateAction updateAction) { + return BulkRequestBody.newBuilder() + .setOperationContainer( + OperationContainer.newBuilder() + .setUpdate(UpdateOperation.newBuilder().setXIndex("test-index").setXId("test-id").build()) + .build() + ) + .setUpdateAction(updateAction); + } + + private static BulkRequestBody.Builder deleteBodyBuilder() { + return BulkRequestBody.newBuilder() + .setOperationContainer( + OperationContainer.newBuilder() + .setDelete(DeleteOperation.newBuilder().setXIndex("test-index").setXId("test-id").build()) + .build() + ); + } + + private static BinaryFieldValue binaryBytesValue(byte... values) { + return BinaryFieldValue.newBuilder() + .setBytesValue(org.opensearch.protobufs.BytesValue.newBuilder().setBytes(ByteString.copyFrom(values)).build()) + .build(); + } + + private static BinaryFieldValue binaryFloatValues(float... values) { + FloatList.Builder floatList = FloatList.newBuilder(); + for (float value : values) { + floatList.addValues(value); + } + return BinaryFieldValue.newBuilder() + .setFloatArrayValue(org.opensearch.protobufs.FloatArrayValue.newBuilder().setValues(floatList.build()).build()) + .build(); + } + + private static BinaryFieldValue binaryPackedFloatValue(byte[] bytes) { + return BinaryFieldValue.newBuilder() + .setFloatArrayValue( + org.opensearch.protobufs.FloatArrayValue.newBuilder() + .setBinaryLe(FloatBinaryLE.newBuilder().setBytesLe(ByteString.copyFrom(bytes)).build()) + .build() + ) + .build(); + } + + private static BinaryFieldValue binaryPackedFloatValue(byte[] bytes, int dimension) { + return BinaryFieldValue.newBuilder() + .setFloatArrayValue( + org.opensearch.protobufs.FloatArrayValue.newBuilder() + .setBinaryLe(FloatBinaryLE.newBuilder().setBytesLe(ByteString.copyFrom(bytes)).setDimension(dimension).build()) + .build() + ) + .build(); + } + + private static void assertBytesValue(ExtraFieldValue value, byte... expected) { + assertTrue(value instanceof BytesValue); + assertArrayEquals(expected, BytesReference.toBytes(((BytesValue) value).bytes())); + } + + private static void assertFloatArrayValue(ExtraFieldValue value, boolean expectedPackedLE, float... expected) { + assertTrue(value instanceof FloatArrayValue); + FloatArrayValue floatArrayValue = (FloatArrayValue) value; + assertEquals(expectedPackedLE, floatArrayValue.isPackedLE()); + assertEquals(expected.length, floatArrayValue.dimension()); + assertArrayEquals(expected, floatArrayValue.asFloatArray(), 0.0f); + } + + private static byte[] packFloatLE(float... values) { + ByteBuffer buffer = ByteBuffer.allocate(values.length * Float.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (float value : values) { + buffer.putFloat(value); + } + return buffer.array(); + } + } diff --git a/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtilsTests.java b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtilsTests.java new file mode 100644 index 0000000000000..b654b15dfa17d --- /dev/null +++ b/modules/transport-grpc/src/test/java/org/opensearch/transport/grpc/proto/request/document/bulk/ExtraFieldValuesProtoUtilsTests.java @@ -0,0 +1,116 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.transport.grpc.proto.request.document.bulk; + +import com.google.protobuf.ByteString; +import org.opensearch.core.common.bytes.BytesReference; +import org.opensearch.index.mapper.extrasource.BytesValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValue; +import org.opensearch.index.mapper.extrasource.ExtraFieldValues; +import org.opensearch.index.mapper.extrasource.FloatArrayValue; +import org.opensearch.protobufs.BinaryFieldValue; +import org.opensearch.protobufs.BulkRequestBody; +import org.opensearch.protobufs.FloatBinaryLE; +import org.opensearch.protobufs.FloatList; +import org.opensearch.test.OpenSearchTestCase; + +import java.nio.ByteBuffer; +import java.nio.ByteOrder; + +public class ExtraFieldValuesProtoUtilsTests extends OpenSearchTestCase { + + public void testFromProtoReturnsEmptyForNoExtraFieldValues() { + assertSame(ExtraFieldValues.EMPTY, ExtraFieldValuesProtoUtils.fromProto(BulkRequestBody.newBuilder().build())); + } + + public void testFromProtoConvertsSupportedTypes() { + byte[] rawBytes = new byte[] { 0, 1, 2, 127, -128, -1 }; + BulkRequestBody body = BulkRequestBody.newBuilder() + .putExtraFieldValues("raw_bytes", binaryBytesValue(rawBytes)) + .putExtraFieldValues("vector_values", binaryFloatValues(1.5f, 2.5f)) + .putExtraFieldValues("vector_packed", binaryPackedFloatValue(packFloatLE(3.5f, 4.5f), 2)) + .build(); + + ExtraFieldValues extraFieldValues = ExtraFieldValuesProtoUtils.fromProto(body); + + assertEquals(3, extraFieldValues.values().size()); + assertBytesValue(extraFieldValues.get("raw_bytes"), rawBytes); + assertFloatArrayValue(extraFieldValues.get("vector_values"), false, 1.5f, 2.5f); + assertFloatArrayValue(extraFieldValues.get("vector_packed"), true, 3.5f, 4.5f); + } + + public void testFromProtoRejectsInvalidEntryWithFieldPath() { + BulkRequestBody body = BulkRequestBody.newBuilder() + .putExtraFieldValues("bad_vector", binaryPackedFloatValue(new byte[] { 1, 2, 3 })) + .build(); + + IllegalArgumentException e = expectThrows(IllegalArgumentException.class, () -> ExtraFieldValuesProtoUtils.fromProto(body)); + + assertTrue(e.getMessage(), e.getMessage().contains("Invalid extra_field_values entry [bad_vector]")); + assertTrue(e.getMessage(), e.getMessage().contains("packed_le byte length")); + assertNotNull(e.getCause()); + } + + private static BinaryFieldValue binaryBytesValue(byte... values) { + return BinaryFieldValue.newBuilder() + .setBytesValue(org.opensearch.protobufs.BytesValue.newBuilder().setBytes(ByteString.copyFrom(values)).build()) + .build(); + } + + private static BinaryFieldValue binaryFloatValues(float... values) { + FloatList.Builder floatList = FloatList.newBuilder(); + for (float value : values) { + floatList.addValues(value); + } + return BinaryFieldValue.newBuilder() + .setFloatArrayValue(org.opensearch.protobufs.FloatArrayValue.newBuilder().setValues(floatList.build()).build()) + .build(); + } + + private static BinaryFieldValue binaryPackedFloatValue(byte[] bytes) { + return BinaryFieldValue.newBuilder() + .setFloatArrayValue( + org.opensearch.protobufs.FloatArrayValue.newBuilder() + .setBinaryLe(FloatBinaryLE.newBuilder().setBytesLe(ByteString.copyFrom(bytes)).build()) + .build() + ) + .build(); + } + + private static BinaryFieldValue binaryPackedFloatValue(byte[] bytes, int dimension) { + return BinaryFieldValue.newBuilder() + .setFloatArrayValue( + org.opensearch.protobufs.FloatArrayValue.newBuilder() + .setBinaryLe(FloatBinaryLE.newBuilder().setBytesLe(ByteString.copyFrom(bytes)).setDimension(dimension).build()) + .build() + ) + .build(); + } + + private static void assertBytesValue(ExtraFieldValue value, byte... expected) { + assertTrue(value instanceof BytesValue); + assertArrayEquals(expected, BytesReference.toBytes(((BytesValue) value).bytes())); + } + + private static void assertFloatArrayValue(ExtraFieldValue value, boolean expectedPackedLE, float... expected) { + assertTrue(value instanceof FloatArrayValue); + FloatArrayValue floatArrayValue = (FloatArrayValue) value; + assertEquals(expectedPackedLE, floatArrayValue.isPackedLE()); + assertEquals(expected.length, floatArrayValue.dimension()); + assertArrayEquals(expected, floatArrayValue.asFloatArray(), 0.0f); + } + + private static byte[] packFloatLE(float... values) { + ByteBuffer buffer = ByteBuffer.allocate(values.length * Float.BYTES).order(ByteOrder.LITTLE_ENDIAN); + for (float value : values) { + buffer.putFloat(value); + } + return buffer.array(); + } +} From 879807ddf9016b16b033b3036dba85cbdc1567ef Mon Sep 17 00:00:00 2001 From: Arpit Bandejiya Date: Wed, 8 Jul 2026 17:15:09 +0530 Subject: [PATCH 94/94] Add in-memory liquid cache for DataFusion parquet scans Vendor a minimal, in-memory-only subset of liquid-cache (cocosz/liquid-cache branch lc-opensearch-df54-v2, commit 8311bcc) into the sandbox native workspace as opensearch-liquid-cache-{core, datafusion}, so OpenSearch takes no external Cargo dependency on the liquid-cache package. The vendored subset drops the disk tier (t4/io-uring), client/server mode (arrow-flight/tonic), FSST string caching, variant shredding, and the lineage optimizer. Under memory pressure, cached Arrow batches are transcoded to the compressed liquid form and then evicted. With io-uring gone the cache is no longer Linux-only. Queries whose projections are numeric/date/timestamp/boolean engage the cache through LiquidParquetSource, a drop-in ParquetSource replacement wired in via parquet_bridge and the LocalModeLiquidCacheOptimizer physical rule. Gated behind opensearch.experimental.feature.liquid_cache.enabled. New dynamic settings under datafusion.liquid_cache.* control enablement, memory limit, eviction policy (lru/liquid), selectivity threshold, and max projected columns. A REST endpoint POST _plugins/analytics_backend_datafusion/liquid_cache/clear resets the cache. Signed-off-by: Arpit Bandejiya --- .../libs/dataformat-native/rust/Cargo.lock | 72 ++ .../libs/dataformat-native/rust/Cargo.toml | 12 + .../dataformat-native/rust/common/Cargo.toml | 1 + .../rust/common/src/logger.rs | 32 + .../rust/liquid-cache/README.md | 43 + .../rust/liquid-cache/core/Cargo.toml | 31 + .../liquid-cache/core/src/cache/budget.rs | 164 ++++ .../liquid-cache/core/src/cache/builders.rs | 391 ++++++++ .../core/src/cache/cached_batch.rs | 71 ++ .../rust/liquid-cache/core/src/cache/core.rs | 681 +++++++++++++ .../rust/liquid-cache/core/src/cache/index.rs | 146 +++ .../core/src/cache/liquid_expr.rs | 196 ++++ .../rust/liquid-cache/core/src/cache/mod.rs | 35 + .../core/src/cache/observer/mod.rs | 64 ++ .../core/src/cache/observer/stats.rs | 127 +++ .../policies/cache/doubly_linked_list.rs | 125 +++ .../core/src/cache/policies/cache/lru.rs | 246 +++++ .../core/src/cache/policies/cache/mod.rs | 188 ++++ .../src/cache/policies/cache/three_queue.rs | 267 ++++++ .../core/src/cache/policies/mod.rs | 7 + .../core/src/cache/policies/squeeze.rs | 106 +++ .../liquid-cache/core/src/cache/transcode.rs | 201 ++++ .../rust/liquid-cache/core/src/cache/utils.rs | 80 ++ .../rust/liquid-cache/core/src/lib.rs | 12 + .../core/src/liquid_array/decimal_array.rs | 207 ++++ .../core/src/liquid_array/float_array.rs | 590 ++++++++++++ .../src/liquid_array/linear_integer_array.rs | 655 +++++++++++++ .../liquid-cache/core/src/liquid_array/mod.rs | 173 ++++ .../core/src/liquid_array/primitive_array.rs | 706 ++++++++++++++ .../src/liquid_array/raw/bit_pack_array.rs | 347 +++++++ .../core/src/liquid_array/raw/mod.rs | 5 + .../rust/liquid-cache/core/src/sync.rs | 2 + .../rust/liquid-cache/core/src/utils/mod.rs | 32 + .../rust/liquid-cache/datafusion/Cargo.toml | 34 + .../datafusion/src/cache/column.rs | 196 ++++ .../liquid-cache/datafusion/src/cache/id.rs | 310 ++++++ .../liquid-cache/datafusion/src/cache/mod.rs | 480 ++++++++++ .../datafusion/src/cache/stats.rs | 268 ++++++ .../rust/liquid-cache/datafusion/src/lib.rs | 24 + .../datafusion/src/optimizers/mod.rs | 314 ++++++ .../liquid-cache/datafusion/src/reader/mod.rs | 6 + .../src/reader/plantime/engagement_policy.rs | 95 ++ .../datafusion/src/reader/plantime/mod.rs | 12 + .../datafusion/src/reader/plantime/opener.rs | 509 ++++++++++ .../src/reader/plantime/row_filter.rs | 515 ++++++++++ .../src/reader/plantime/row_group_filter.rs | 427 +++++++++ .../datafusion/src/reader/plantime/source.rs | 399 ++++++++ .../src/reader/runtime/liquid_cache_reader.rs | 900 ++++++++++++++++++ .../src/reader/runtime/liquid_predicate.rs | 163 ++++ .../src/reader/runtime/liquid_stream.rs | 712 ++++++++++++++ .../datafusion/src/reader/runtime/mod.rs | 7 + .../datafusion/src/reader/runtime/utils.rs | 212 +++++ .../src/reader/utils/boolean_selection.rs | 273 ++++++ .../datafusion/src/reader/utils/mod.rs | 1 + .../rust/liquid-cache/datafusion/src/sync.rs | 2 + .../rust/liquid-cache/datafusion/src/utils.rs | 335 +++++++ .../rust/Cargo.toml | 5 + .../rust/benches/row_id_bench.rs | 1 + .../rust/src/api.rs | 91 +- .../rust/src/ffm.rs | 60 +- .../rust/src/helper.rs | 9 + .../rust/src/indexed_table/parquet_bridge.rs | 84 +- .../rust/src/indexed_table/stream.rs | 13 +- .../rust/src/lib.rs | 1 + .../rust/src/liquid_cache.rs | 191 ++++ .../rust/src/session_context.rs | 13 +- .../rust/tests/local_exec_test.rs | 4 + .../rust/tests/stringview_gc_test.rs | 4 + .../be/datafusion/DataFusionPlugin.java | 37 + .../be/datafusion/DataFusionService.java | 53 +- .../be/datafusion/DatafusionSettings.java | 71 +- .../action/LiquidCacheClearAction.java | 64 ++ .../be/datafusion/nativelib/NativeBridge.java | 83 +- .../DataFusionNativeBridgeTests.java | 11 +- .../DataFusionPluginSettingsTests.java | 2 +- .../DataFusionQueryExecutionTests.java | 2 +- .../be/datafusion/DataFusionServiceTests.java | 24 +- .../DatafusionMemtableReduceSinkTests.java | 2 +- .../datafusion/DatafusionReduceSinkTests.java | 16 +- .../DatafusionResultStreamTests.java | 4 +- .../DatafusionSearchExecEngineTests.java | 2 +- .../datafusion/DatafusionSettingsTests.java | 2 +- .../NativeBridgeLocalSessionTests.java | 2 +- .../NativeBridgePreparedPlanTests.java | 2 +- sandbox/qa/analytics-engine-rest/build.gradle | 3 + .../analytics/qa/LiquidCacheBenchmarkIT.java | 228 +++++ .../analytics/qa/LiquidCacheIT.java | 190 ++++ .../opensearch/common/util/FeatureFlags.java | 11 + 88 files changed, 13446 insertions(+), 48 deletions(-) create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/README.md create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/Cargo.toml create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/budget.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/builders.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/cached_batch.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/core.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/index.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/liquid_expr.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/stats.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/doubly_linked_list.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/lru.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/three_queue.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/squeeze.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/transcode.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/utils.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/lib.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/decimal_array.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/float_array.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/linear_integer_array.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/primitive_array.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/bit_pack_array.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/sync.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/core/src/utils/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/Cargo.toml create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/column.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/id.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/stats.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/lib.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/optimizers/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/engagement_policy.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/opener.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_filter.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_group_filter.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/source.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_cache_reader.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_predicate.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_stream.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/utils.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/boolean_selection.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/mod.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/sync.rs create mode 100644 sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/utils.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/rust/src/liquid_cache.rs create mode 100644 sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/LiquidCacheClearAction.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheBenchmarkIT.java create mode 100644 sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheIT.java diff --git a/sandbox/libs/dataformat-native/rust/Cargo.lock b/sandbox/libs/dataformat-native/rust/Cargo.lock index e5d42661fca32..3ae84106485da 100644 --- a/sandbox/libs/dataformat-native/rust/Cargo.lock +++ b/sandbox/libs/dataformat-native/rust/Cargo.lock @@ -684,6 +684,15 @@ version = "0.4.32" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "cc14f565cf027a105f7a44ccf9e5b424348421a1d8952a8fc9d499d313107789" +[[package]] +name = "congee" +version = "0.4.1" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "72819224a9c43e0a5d64bdad35a71fde68bf479992fb8989635c72bc547909be" +dependencies = [ + "crossbeam-epoch", +] + [[package]] name = "const-oid" version = "0.10.2" @@ -710,6 +719,12 @@ dependencies = [ "tiny-keccak", ] +[[package]] +name = "const_for" +version = "0.1.6" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "988d3bd6bf67b6d7ae2b519c55296fa57411c27c312575e47b2975f8d1d8590b" + [[package]] name = "constant_time_eq" version = "0.4.2" @@ -743,6 +758,12 @@ dependencies = [ "winapi", ] +[[package]] +name = "core_detect" +version = "1.0.0" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "7f8f80099a98041a3d1622845c271458a2d73e688351bf3cb999266764b81d48" + [[package]] name = "cpufeatures" version = "0.2.17" @@ -1666,6 +1687,19 @@ dependencies = [ "web-time", ] +[[package]] +name = "fastlanes" +version = "0.5.2" +source = "registry+https://github.com/rust-lang/crates.io-index" +checksum = "b9272a674b446f53253f66582596614e41552d14968a3d1aaa590576a91c1188" +dependencies = [ + "const_for", + "core_detect", + "num-traits", + "paste", + "seq-macro", +] + [[package]] name = "fastrand" version = "2.4.1" @@ -2689,6 +2723,7 @@ checksum = "1d87ecb2933e8aeadb3e3a02b828fed80a7528047e68b4f424523a0981a3a084" name = "native-bridge-common" version = "0.1.0" dependencies = [ + "log", "native-bridge-macros", "tikv-jemalloc-ctl", "tikv-jemalloc-sys", @@ -2861,6 +2896,8 @@ dependencies = [ "object_store", "once_cell", "opensearch-block-cache", + "opensearch-liquid-cache-core", + "opensearch-liquid-cache-datafusion", "opensearch-tiered-storage", "parking_lot", "parquet", @@ -2881,6 +2918,41 @@ dependencies = [ "url", ] +[[package]] +name = "opensearch-liquid-cache-core" +version = "0.1.0" +dependencies = [ + "ahash", + "arrow", + "arrow-schema", + "congee", + "datafusion-common", + "datafusion-expr-common", + "datafusion-physical-expr", + "fastlanes", + "log", + "num-traits", + "serde", +] + +[[package]] +name = "opensearch-liquid-cache-datafusion" +version = "0.1.0" +dependencies = [ + "ahash", + "arrow", + "arrow-schema", + "bytes", + "datafusion", + "futures", + "log", + "object_store", + "opensearch-liquid-cache-core", + "parquet", + "tempfile", + "tokio", +] + [[package]] name = "opensearch-native-lib" version = "0.1.0" diff --git a/sandbox/libs/dataformat-native/rust/Cargo.toml b/sandbox/libs/dataformat-native/rust/Cargo.toml index b5f7cb0440f92..0af25e842e7b9 100644 --- a/sandbox/libs/dataformat-native/rust/Cargo.toml +++ b/sandbox/libs/dataformat-native/rust/Cargo.toml @@ -4,6 +4,8 @@ members = [ "common", "macros", "lib", + "liquid-cache/core", + "liquid-cache/datafusion", "../../../plugins/analytics-backend-datafusion/rust", "../../../plugins/parquet-data-format/src/main/rust", "../../../plugins/native-repository-s3/src/main/rust", @@ -30,6 +32,8 @@ datafusion-datasource = "=54.0.0" datafusion-common = "=54.0.0" datafusion-execution = "=54.0.0" datafusion-physical-expr = "=54.0.0" +datafusion-physical-expr-common = "=54.0.0" +datafusion-expr-common = "=54.0.0" datafusion-substrait = "=54.0.0" # Async @@ -56,6 +60,12 @@ tikv-jemallocator = { version = "=0.6.1", features = ["disable_initial_exec_tls" tikv-jemalloc-ctl = { version = "=0.6.1", features = ["stats"] } tikv-jemalloc-sys = { version = "=0.6.1", features = ["stats"] } +# Liquid cache (vendored subset — see liquid-cache/README.md) +ahash = "=0.8.12" +congee = "=0.4.1" +fastlanes = "=0.5.2" +num-traits = "=0.2.19" + # Misc dashmap = { version = "=5.5.3", features = ["raw-api", "serde"] } num_cpus = "=1.17.0" @@ -77,6 +87,8 @@ proptest = "=1.4.0" # Internal native-bridge-common = { path = "common" } +opensearch-liquid-cache-core = { path = "liquid-cache/core" } +opensearch-liquid-cache-datafusion = { path = "liquid-cache/datafusion" } opensearch-tiered-storage = { path = "../../tiered-storage/src/main/rust" } opensearch-repository-s3 = { path = "../../../plugins/native-repository-s3/src/main/rust" } opensearch-repository-gcs = { path = "../../../plugins/native-repository-gcs/src/main/rust" } diff --git a/sandbox/libs/dataformat-native/rust/common/Cargo.toml b/sandbox/libs/dataformat-native/rust/common/Cargo.toml index 641b96da148e1..93c42c77e3e75 100644 --- a/sandbox/libs/dataformat-native/rust/common/Cargo.toml +++ b/sandbox/libs/dataformat-native/rust/common/Cargo.toml @@ -13,6 +13,7 @@ native-bridge-macros = { path = "../macros" } tikv-jemalloc-ctl = { workspace = true } tikv-jemalloc-sys = { workspace = true } tokio = { workspace = true } +log = { workspace = true } [dev-dependencies] tikv-jemallocator = { workspace = true } diff --git a/sandbox/libs/dataformat-native/rust/common/src/logger.rs b/sandbox/libs/dataformat-native/rust/common/src/logger.rs index f48ba3259a53a..3e47d3e35bbd6 100644 --- a/sandbox/libs/dataformat-native/rust/common/src/logger.rs +++ b/sandbox/libs/dataformat-native/rust/common/src/logger.rs @@ -49,10 +49,42 @@ pub extern "C" fn native_logger_set_level(level: i32) { MAX_LEVEL.store(clamped, Ordering::Relaxed); } +/// A `log` crate backend that forwards to our native bridge callback. +/// This makes `log::info!()` from any crate (including liquid-cache) +/// appear in OpenSearch's log file via the Java RustLoggerBridge. +struct NativeBridgeLogger; + +impl ::log::Log for NativeBridgeLogger { + fn enabled(&self, metadata: &::log::Metadata) -> bool { + metadata.level() <= ::log::Level::Info + } + + fn log(&self, record: &::log::Record) { + if !self.enabled(record.metadata()) { + return; + } + let level = match record.level() { + ::log::Level::Error => LogLevel::Error, + ::log::Level::Warn | ::log::Level::Info => LogLevel::Info, + _ => LogLevel::Debug, + }; + let msg = format!("{}", record.args()); + log(level, &msg); + } + + fn flush(&self) {} +} + +static NATIVE_BRIDGE_LOGGER: NativeBridgeLogger = NativeBridgeLogger; + /// Called by Java at startup to register the log callback. #[no_mangle] pub unsafe extern "C" fn native_logger_init(callback: LogCallback) { LOG_CALLBACK.store(callback as *mut (), Ordering::Release); + // Initialize the `log` crate facade so that log::info!() from any + // dependency (e.g. liquid-cache) routes through our native bridge. + let _ = ::log::set_logger(&NATIVE_BRIDGE_LOGGER); + ::log::set_max_level(::log::LevelFilter::Info); log(LogLevel::Info, "Native logger initialized successfully"); } diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/README.md b/sandbox/libs/dataformat-native/rust/liquid-cache/README.md new file mode 100644 index 0000000000000..d5c43b9ae656a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/README.md @@ -0,0 +1,43 @@ +# opensearch-liquid-cache (vendored subset) + +In-memory-only subset of [liquid-cache](https://github.com/XiangpengHao/liquid-cache), +vendored so the OpenSearch sandbox takes **no Cargo dependency** on the upstream +package. + +## Provenance + +- Vendored from: https://github.com/cocosz/liquid-cache +- Branch: `lc-opensearch-df54-v2` +- Commit: `8311bccc258756127adbebee3e54140b60fc09ba` +- License: Apache-2.0 (same as upstream) + +## What was removed relative to upstream + +Everything needed only for the disk tier, client/server mode, or data types the +OpenSearch integration gate never caches: + +- **Disk tier**: `t4` store (io-uring), `DiskLiquid`/`DiskArrow` cache entries, + `SqueezeIoHandler`/`DefaultSqueezeIo`, squeeze-to-disk policies, `ipc.rs` + serialization and per-array `to_bytes`/`from_bytes`. The cache is memory-only; + under pressure entries are transcoded (Arrow → Liquid) and then evicted. +- **Client/server**: the whole `liquid-cache-common` crate (arrow-flight/tonic/axum), + `datafusion-client`, `datafusion-server`. +- **String/binary caching**: `byte_view_array` + FSST (`fsst-rs`). The integration + gate only engages LC for numeric/date/timestamp/boolean projections. +- **Variant/JSON shredding**: `variant_array`, `parquet-variant-*` deps, variant UDFs. +- **Date32 squeeze**: `squeezed_date32_array` (a squeeze-to-disk optimization). +- **LineageOptimizer**: excluded by the POC already (planning overhead). +- **Tracing**: `fastrace`, `sysinfo`. + +## Crates + +- `core/` — package `opensearch-liquid-cache-core`, **lib name `liquid_cache`**: + cache storage (index, budget, eviction policies, transcode) + numeric + LiquidArray encodings. +- `datafusion/` — package `opensearch-liquid-cache-datafusion`, **lib name + `liquid_cache_datafusion`**: `LiquidParquetSource` (the ParquetSource + replacement), reader/stream machinery, `LocalModeOptimizer`. + +The lib names intentionally match upstream so vendored code and the +`analytics-backend-datafusion` integration compile with unchanged `use` paths, +which also keeps future re-syncs against upstream reviewable. diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/Cargo.toml b/sandbox/libs/dataformat-native/rust/liquid-cache/core/Cargo.toml new file mode 100644 index 0000000000000..dbcefdcdf512e --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/Cargo.toml @@ -0,0 +1,31 @@ +# SPDX-License-Identifier: Apache-2.0 +# +# Vendored in-memory subset of liquid-cache core. +# Provenance: https://github.com/cocosz/liquid-cache branch lc-opensearch-df54-v2 +# commit 8311bccc258756127adbebee3e54140b60fc09ba. See ../README.md. + +[package] +name = "opensearch-liquid-cache-core" +version = "0.1.0" +edition = "2024" +license = "Apache-2.0" +publish = false + +[lib] +# Keep the upstream crate name so vendored code and the integration keep +# their `use liquid_cache::...` paths, making future upstream re-syncs diffable. +name = "liquid_cache" +path = "src/lib.rs" + +[dependencies] +ahash = { workspace = true } +arrow = { workspace = true } +arrow-schema = { workspace = true } +congee = { workspace = true } +datafusion-common = { workspace = true } +datafusion-expr-common = { workspace = true } +datafusion-physical-expr = { workspace = true } +fastlanes = { workspace = true } +log = { workspace = true } +num-traits = { workspace = true } +serde = { workspace = true } diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/budget.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/budget.rs new file mode 100644 index 0000000000000..4069f23a28417 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/budget.rs @@ -0,0 +1,164 @@ +use crate::sync::atomic::{AtomicUsize, Ordering}; + +#[derive(Debug)] +pub struct BudgetAccounting { + max_memory_bytes: AtomicUsize, + used_memory_bytes: AtomicUsize, +} + +impl BudgetAccounting { + pub(super) fn new(max_memory_bytes: usize) -> Self { + Self { + max_memory_bytes: AtomicUsize::new(max_memory_bytes), + used_memory_bytes: AtomicUsize::new(0), + } + } + + pub(super) fn reset_usage(&self) { + self.used_memory_bytes.store(0, Ordering::Relaxed); + } + + /// Dynamically update the max memory limit. Takes effect for new reservations. + pub fn set_max_memory_bytes(&self, new_limit: usize) { + self.max_memory_bytes.store(new_limit, Ordering::Relaxed); + } + + pub fn max_memory_bytes(&self) -> usize { + self.max_memory_bytes.load(Ordering::Relaxed) + } + + /// Try to reserve memory in the cache. + /// Returns ok if the memory was reserved, err if the memory budget is full. + pub(super) fn try_reserve_memory(&self, request_bytes: usize) -> Result<(), ()> { + let used = self.used_memory_bytes.load(Ordering::Relaxed); + if used + request_bytes > self.max_memory_bytes.load(Ordering::Relaxed) { + return Err(()); + } + + match self.used_memory_bytes.compare_exchange( + used, + used + request_bytes, + Ordering::Relaxed, + Ordering::Relaxed, + ) { + Ok(_) => Ok(()), + Err(_) => self.try_reserve_memory(request_bytes), + } + } + + /// Adjust memory usage after transcoding. + /// Returns ok if the usage was adjusted, err if the memory budget is full when new_size is larger than old_size. + pub(super) fn try_update_memory_usage( + &self, + old_size: usize, + new_size: usize, + ) -> Result<(), ()> { + if old_size < new_size { + let diff = new_size - old_size; + self.try_reserve_memory(diff)?; + Ok(()) + } else { + self.used_memory_bytes + .fetch_sub(old_size - new_size, Ordering::Relaxed); + Ok(()) + } + } + + pub fn memory_usage_bytes(&self) -> usize { + self.used_memory_bytes.load(Ordering::Relaxed) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::sync::{Arc, Barrier, thread}; + + fn test_budget(max_memory_bytes: usize) -> BudgetAccounting { + BudgetAccounting::new(max_memory_bytes) + } + + #[test] + fn test_memory_reservation_and_accounting() { + let config = test_budget(1000); + + assert_eq!(config.memory_usage_bytes(), 0); + + assert!(config.try_reserve_memory(500).is_ok()); + assert_eq!(config.memory_usage_bytes(), 500); + + assert!(config.try_reserve_memory(300).is_ok()); + assert_eq!(config.memory_usage_bytes(), 800); + + assert!(config.try_reserve_memory(300).is_err()); + assert_eq!(config.memory_usage_bytes(), 800); + + config.reset_usage(); + assert_eq!(config.memory_usage_bytes(), 0); + } + + #[test] + fn test_concurrent_memory_operations() { + test_concurrent_memory_budget(); + } + + fn test_concurrent_memory_budget() { + let num_threads = 3; + let max_memory = 10000; + let operations_per_thread = 100; + + let budget = Arc::new(test_budget(max_memory)); + let barrier = Arc::new(Barrier::new(num_threads)); + + let mut thread_handles = vec![]; + + for _ in 0..num_threads { + let budget_clone = budget.clone(); + let barrier_clone = barrier.clone(); + + let handle = thread::spawn(move || { + let mut successful_reservations = Vec::new(); + + barrier_clone.wait(); + + for i in 0..operations_per_thread { + let reserve_size = 10 + (i % 20) * 5; // 10 to 105 bytes + if budget_clone.try_reserve_memory(reserve_size).is_ok() { + successful_reservations.push(reserve_size); + } + + if i.is_multiple_of(5) && !successful_reservations.is_empty() { + let idx = i % successful_reservations.len(); + let old_size = successful_reservations[idx]; + let new_size = if i.is_multiple_of(2) { + old_size + 5 // Grow + } else { + old_size.saturating_sub(5) // Shrink + }; + + if budget_clone + .try_update_memory_usage(old_size, new_size) + .is_ok() + { + successful_reservations[idx] = new_size; + } + } + } + successful_reservations + }); + + thread_handles.push(handle); + } + + let mut expected_memory_usage = 0; + for handle in thread_handles { + let reservations = handle.join().unwrap(); + for size in reservations { + expected_memory_usage += size; + } + } + + assert_eq!(budget.memory_usage_bytes(), expected_memory_usage); + assert!(budget.memory_usage_bytes() <= max_memory); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/builders.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/builders.rs new file mode 100644 index 0000000000000..4d0570b879003 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/builders.rs @@ -0,0 +1,391 @@ +use std::future::{IntoFuture, Ready}; + +use arrow::array::{ + Array, ArrayData, ArrayRef, BinaryViewArray, BooleanArray, StringViewArray, make_array, +}; +use arrow::buffer::BooleanBuffer; + +use super::cached_batch::CacheEntry; +use super::core::{CacheFull, LiquidCache}; +use super::policies::{CachePolicy, SqueezePolicy, TranscodeEvict}; +use super::{EntryID, LiquidExpr, LiquidPolicy}; +use crate::sync::Arc; + +/// Builder for [LiquidCache]. +/// +/// Example: +/// ```rust +/// use liquid_cache::cache::LiquidCacheBuilder; +/// use liquid_cache::cache_policies::LiquidPolicy; +/// +/// let _storage = LiquidCacheBuilder::new() +/// .with_batch_size(8192) +/// .with_max_memory_bytes(1024 * 1024 * 1024) +/// .with_cache_policy(Box::new(LiquidPolicy::new())) +/// .build(); +/// ``` +pub struct LiquidCacheBuilder { + batch_size: usize, + max_memory_bytes: usize, + cache_policy: Box, + squeeze_policy: Box, +} + +impl Default for LiquidCacheBuilder { + fn default() -> Self { + Self::new() + } +} + +/// Default max memory when none is provided: 1 GiB. +const DEFAULT_MAX_MEMORY_BYTES: usize = 1 << 30; + +impl LiquidCacheBuilder { + /// Create a new instance of [LiquidCacheBuilder]. + pub fn new() -> Self { + Self { + batch_size: 8192, + max_memory_bytes: DEFAULT_MAX_MEMORY_BYTES, + cache_policy: Box::new(LiquidPolicy::new()), + squeeze_policy: Box::new(TranscodeEvict), + } + } + + /// Set the batch size for the cache. + /// Default is 8192. + pub fn with_batch_size(mut self, batch_size: usize) -> Self { + self.batch_size = batch_size; + self + } + + /// Set the max memory bytes for the cache. + /// Default is 1 GiB. + pub fn with_max_memory_bytes(mut self, max_memory_bytes: usize) -> Self { + self.max_memory_bytes = max_memory_bytes; + self + } + + /// Set the cache policy for the cache. + /// Default is [LiquidPolicy]. + pub fn with_cache_policy(mut self, policy: Box) -> Self { + self.cache_policy = policy; + self + } + + /// Set the squeeze policy for the cache. + /// Default is [TranscodeEvict]. + pub fn with_squeeze_policy(mut self, policy: Box) -> Self { + self.squeeze_policy = policy; + self + } + + /// Build the cache storage. + /// + /// The cache storage is wrapped in an [Arc] to allow for concurrent access. + pub fn build(self) -> Arc { + Arc::new(LiquidCache::new( + self.batch_size, + self.max_memory_bytes, + self.squeeze_policy, + self.cache_policy, + )) + } +} + +/// Builder returned by [`LiquidCache::insert`] for configuring cache writes. +#[derive(Debug)] +pub struct Insert<'a> { + pub(super) storage: &'a LiquidCache, + pub(super) entry_id: EntryID, + pub(super) batch: ArrayRef, + pub(super) skip_gc: bool, +} + +impl<'a> Insert<'a> { + pub(super) fn new(storage: &'a LiquidCache, entry_id: EntryID, batch: ArrayRef) -> Self { + Self { + storage, + entry_id, + batch, + skip_gc: false, + } + } + + /// Skip garbage collection of view arrays. + pub fn with_skip_gc(mut self) -> Self { + self.skip_gc = true; + self + } + + /// Insert the batch into the cache. + pub fn execute(self) -> Result<(), CacheFull> { + let batch = if self.skip_gc { + self.batch.clone() + } else { + maybe_gc_view_arrays(&self.batch).unwrap_or_else(|| self.batch.clone()) + }; + let batch = CacheEntry::memory_arrow(batch); + self.storage.insert_inner(self.entry_id, batch) + } +} + +impl<'a> IntoFuture for Insert<'a> { + type Output = Result<(), CacheFull>; + type IntoFuture = Ready; + + fn into_future(self) -> Self::IntoFuture { + std::future::ready(self.execute()) + } +} + +/// Builder returned by [`LiquidCache::get`] for configuring cache reads. +#[derive(Debug)] +pub struct Get<'a> { + pub(super) storage: &'a LiquidCache, + pub(super) entry_id: &'a EntryID, + pub(super) selection: Option<&'a BooleanBuffer>, +} + +impl<'a> Get<'a> { + pub(super) fn new(storage: &'a LiquidCache, entry_id: &'a EntryID) -> Self { + Self { + storage, + entry_id, + selection: None, + } + } + + /// Attach a selection bitmap used to filter rows prior to materialization. + pub fn with_selection(mut self, selection: &'a BooleanBuffer) -> Self { + self.selection = Some(selection); + self + } + + /// Materialize the cached array as [`ArrayRef`]. + pub fn read(self) -> Option { + self.storage.observer().on_get(self.selection.is_some()); + self.storage.read_arrow_array(self.entry_id, self.selection) + } +} + +impl<'a> IntoFuture for Get<'a> { + type Output = Option; + type IntoFuture = Ready; + + fn into_future(self) -> Self::IntoFuture { + std::future::ready(self.read()) + } +} + +/// Recursively garbage collects view arrays (BinaryView/StringView) within an array tree. +fn maybe_gc_view_arrays(array: &ArrayRef) -> Option { + if let Some(binary_view) = array.as_any().downcast_ref::() { + return Some(Arc::new(binary_view.gc())); + } + if let Some(utf8_view) = array.as_any().downcast_ref::() { + return Some(Arc::new(utf8_view.gc())); + } + + let data = array.to_data(); + if data.child_data().is_empty() { + return None; + } + + let mut changed = false; + let mut children: Vec = Vec::with_capacity(data.child_data().len()); + for child in data.child_data() { + let child_array = make_array(child.clone()); + if let Some(gc_child) = maybe_gc_view_arrays(&child_array) { + changed = true; + children.push(gc_child.to_data()); + } else { + children.push(child.clone()); + } + } + + if !changed { + return None; + } + + let new_data = data.into_builder().child_data(children).build().ok()?; + Some(make_array(new_data)) +} + +/// Builder for predicate evaluation on cached data. +#[derive(Debug)] +pub struct EvaluatePredicate<'a> { + pub(super) storage: &'a LiquidCache, + pub(super) entry_id: &'a EntryID, + pub(super) predicate: &'a LiquidExpr, + pub(super) selection: Option<&'a BooleanBuffer>, +} + +impl<'a> EvaluatePredicate<'a> { + pub(super) fn new( + storage: &'a LiquidCache, + entry_id: &'a EntryID, + predicate: &'a LiquidExpr, + ) -> Self { + Self { + storage, + entry_id, + predicate, + selection: None, + } + } + + /// Attach a selection bitmap used to pre-filter rows before predicate evaluation. + pub fn with_selection(mut self, selection: &'a BooleanBuffer) -> Self { + self.selection = Some(selection); + self + } + + /// Evaluate the predicate against the cached data. + pub fn read(self) -> Option { + self.storage + .eval_predicate_internal(self.entry_id, self.selection, self.predicate) + } +} + +impl<'a> IntoFuture for EvaluatePredicate<'a> { + type Output = Option; + type IntoFuture = Ready; + + fn into_future(self) -> Self::IntoFuture { + std::future::ready(self.read()) + } +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::array::{AsArray, StructArray}; + use arrow_schema::{DataType, Field, Fields}; + + #[test] + fn insert_gcs_view_arrays_recursively() { + // Build view arrays then slice to create non-zero offsets (and larger backing buffers). + let bin = Arc::new(BinaryViewArray::from(vec![ + Some(b"long_prefix_m0" as &[u8]), + Some(b"m1"), + ])) as ArrayRef; + let str_view = Arc::new(StringViewArray::from(vec![ + Some("long_prefix_s0"), + Some("s1"), + ])) as ArrayRef; + let nested_metadata = Arc::new(BinaryViewArray::from(vec![ + Some(b"meta0" as &[u8]), + Some(b"meta1"), + ])) as ArrayRef; + let nested_value = Arc::new(BinaryViewArray::from(vec![ + Some(b"value0" as &[u8]), + Some(b"value1"), + ])) as ArrayRef; + + // Slice to keep only the second element so buffers still reference unused bytes. + let bin_slice = bin.slice(1, 1); + let str_slice = str_view.slice(1, 1); + let nested_metadata_slice = nested_metadata.slice(1, 1); + let nested_value_slice = nested_value.slice(1, 1); + + // Nested struct: metadata (BinaryView), value (BinaryView), and a typed string view. + let nested_typed_fields = Fields::from(vec![Arc::new(Field::new( + "typed_str", + DataType::Utf8View, + true, + ))]); + let nested_struct_fields = Fields::from(vec![ + Arc::new(Field::new("metadata", DataType::BinaryView, true)), + Arc::new(Field::new("value", DataType::BinaryView, true)), + Arc::new(Field::new( + "typed_value", + DataType::Struct(nested_typed_fields.clone()), + true, + )), + ]); + let nested_struct = Arc::new(StructArray::new( + nested_struct_fields.clone(), + vec![ + nested_metadata_slice.clone(), + nested_value_slice.clone(), + Arc::new(StructArray::new( + nested_typed_fields.clone(), + vec![str_slice.clone()], + None, + )) as ArrayRef, + ], + None, + )); + + let root_fields = Fields::from(vec![ + Arc::new(Field::new("bin_view", DataType::BinaryView, true)), + Arc::new(Field::new("str_view", DataType::Utf8View, true)), + Arc::new(Field::new( + "nested", + DataType::Struct(nested_struct_fields.clone()), + true, + )), + ]); + let root = Arc::new(StructArray::new( + root_fields, + vec![ + bin_slice.clone(), + str_slice.clone(), + nested_struct.clone() as ArrayRef, + ], + None, + )) as ArrayRef; + + let pre_size = root.get_array_memory_size(); + + let cache = LiquidCacheBuilder::new().build(); + let entry_id = EntryID::from(123usize); + cache.insert(entry_id, root.clone()).execute().unwrap(); + + let stored = cache.get(&entry_id).read().expect("array present"); + let post_size = stored.get_array_memory_size(); + + // GC should have compacted the view arrays, reducing memory footprint. + assert!(post_size < pre_size, "expected gc to reduce memory usage"); + + // Validate values are preserved. + let struct_out = stored + .as_any() + .downcast_ref::() + .expect("struct array"); + + assert_eq!(struct_out.len(), 1); + + let bin_out = struct_out + .column_by_name("bin_view") + .unwrap() + .as_binary_view(); + assert_eq!(bin_out.value(0), b"m1"); + + let str_out = struct_out + .column_by_name("str_view") + .unwrap() + .as_string_view(); + assert_eq!(str_out.value(0), "s1"); + + let nested_out = struct_out.column_by_name("nested").unwrap().as_struct(); + let meta_out = nested_out + .column_by_name("metadata") + .unwrap() + .as_binary_view(); + assert_eq!(meta_out.value(0), b"meta1"); + + let val_out = nested_out.column_by_name("value").unwrap().as_binary_view(); + assert_eq!(val_out.value(0), b"value1"); + + let typed_out = nested_out + .column_by_name("typed_value") + .unwrap() + .as_struct(); + let typed_str_out = typed_out + .column_by_name("typed_str") + .unwrap() + .as_string_view(); + assert_eq!(typed_str_out.value(0), "s1"); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/cached_batch.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/cached_batch.rs new file mode 100644 index 0000000000000..053edf0eb7206 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/cached_batch.rs @@ -0,0 +1,71 @@ +//! Cached batch types. + +use std::{fmt::Display, sync::Arc}; + +use arrow::array::ArrayRef; + +use crate::liquid_array::LiquidArrayRef; + +/// A cached entry storing data in various formats. +#[derive(Debug, Clone)] +pub enum CacheEntry { + /// Cached batch in memory as Arrow array. + MemoryArrow(ArrayRef), + /// Cached batch in memory as liquid array. + MemoryLiquid(LiquidArrayRef), +} + +impl CacheEntry { + /// Construct a cached batch stored as an in-memory Arrow array. + pub fn memory_arrow(array: ArrayRef) -> Self { + Self::MemoryArrow(array) + } + + /// Construct a cached batch stored as an in-memory Liquid array. + pub fn memory_liquid(array: LiquidArrayRef) -> Self { + Self::MemoryLiquid(array) + } + + /// Memory usage reported by the underlying representation. + pub fn memory_usage_bytes(&self) -> usize { + match self { + Self::MemoryArrow(array) => array.get_array_memory_size(), + Self::MemoryLiquid(array) => array.get_array_memory_size(), + } + } + + /// Reference count (if any) of the backing storage. + pub fn reference_count(&self) -> usize { + match self { + Self::MemoryArrow(array) => Arc::strong_count(array), + Self::MemoryLiquid(array) => Arc::strong_count(array), + } + } +} + +impl Display for CacheEntry { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + match self { + Self::MemoryArrow(_) => write!(f, "MemoryArrow"), + Self::MemoryLiquid(_) => write!(f, "MemoryLiquid"), + } + } +} + +/// The type of the cached batch. +#[derive(Debug, Clone, Copy, PartialEq, Eq, serde::Serialize)] +pub enum CachedBatchType { + /// Cached batch in memory as Arrow array. + MemoryArrow, + /// Cached batch in memory as liquid array. + MemoryLiquid, +} + +impl From<&CacheEntry> for CachedBatchType { + fn from(batch: &CacheEntry) -> Self { + match batch { + CacheEntry::MemoryArrow(_) => Self::MemoryArrow, + CacheEntry::MemoryLiquid(_) => Self::MemoryLiquid, + } + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/core.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/core.rs new file mode 100644 index 0000000000000..9099ea0dd9394 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/core.rs @@ -0,0 +1,681 @@ +use arrow::array::cast::AsArray; +use arrow::array::{ArrayRef, BooleanArray}; +use arrow::buffer::BooleanBuffer; +use arrow::record_batch::RecordBatch; +use arrow_schema::{Field, Schema}; + +use super::{ + budget::BudgetAccounting, + builders::{EvaluatePredicate, Get, Insert}, + cached_batch::{CacheEntry, CachedBatchType}, + observer::Observer, + policies::CachePolicy, + utils::CacheConfig, +}; +use crate::cache::CacheStats; +use crate::cache::policies::{SqueezeOutcome, SqueezePolicy}; +use crate::cache::{LiquidExpr, index::ArtIndex, utils::EntryID}; +use crate::sync::Arc; + +/// The cache could not free enough memory to admit an entry. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct CacheFull; + +/// Cache storage for liquid cache. +/// +/// Example: +/// ```rust +/// use liquid_cache::cache::{LiquidCacheBuilder, EntryID}; +/// use arrow::array::UInt64Array; +/// use std::sync::Arc; +/// +/// let storage = LiquidCacheBuilder::new() +/// .with_max_memory_bytes(1024 * 1024) +/// .build(); +/// +/// let entry_id = EntryID::from(0); +/// let arrow_array = Arc::new(UInt64Array::from_iter_values(0..32)); +/// storage.insert(entry_id, arrow_array.clone()).execute().unwrap(); +/// +/// // Get the arrow array back +/// let retrieved = storage.get(&entry_id).read().unwrap(); +/// assert_eq!(retrieved.as_ref(), arrow_array.as_ref()); +/// ``` +#[derive(Debug)] +pub struct LiquidCache { + index: ArtIndex, + config: CacheConfig, + budget: BudgetAccounting, + cache_policy: Box, + squeeze_policy: Box, + observer: Arc, +} + +impl LiquidCache { + /// Return current cache statistics: counts and resource usage. + pub fn stats(&self) -> CacheStats { + // Count entries by format + let total_entries = self.index.entry_count(); + + let mut memory_arrow_entries = 0usize; + let mut memory_liquid_entries = 0usize; + + let mut memory_arrow_bytes = 0usize; + let mut memory_liquid_bytes = 0usize; + + self.index.for_each(|_, batch| match batch { + CacheEntry::MemoryArrow(array) => { + memory_arrow_entries += 1; + memory_arrow_bytes += array.get_array_memory_size(); + } + CacheEntry::MemoryLiquid(array) => { + memory_liquid_entries += 1; + memory_liquid_bytes += array.get_array_memory_size(); + } + }); + + let memory_usage_bytes = self.budget.memory_usage_bytes(); + let runtime = self.observer.runtime_snapshot(); + + CacheStats { + total_entries, + memory_arrow_entries, + memory_liquid_entries, + memory_arrow_bytes, + memory_liquid_bytes, + memory_usage_bytes, + max_memory_bytes: self.budget.max_memory_bytes(), + runtime, + } + } + + /// Insert a batch into the cache. + pub fn insert<'a>(&'a self, entry_id: EntryID, batch_to_cache: ArrayRef) -> Insert<'a> { + Insert::new(self, entry_id, batch_to_cache) + } + + /// Create a [`Get`] builder for the provided entry. + pub fn get<'a>(&'a self, entry_id: &'a EntryID) -> Get<'a> { + Get::new(self, entry_id) + } + + /// Create an [`EvaluatePredicate`] builder for evaluating predicates on cached data. + pub fn eval_predicate<'a>( + &'a self, + entry_id: &'a EntryID, + predicate: &'a LiquidExpr, + ) -> EvaluatePredicate<'a> { + EvaluatePredicate::new(self, entry_id, predicate) + } + + /// Try to read a liquid array from the cache. + /// Returns None if the cached data is not in liquid format. + pub fn try_read_liquid( + &self, + entry_id: &EntryID, + ) -> Option { + self.observer.on_try_read_liquid(); + let batch = self.index.get(entry_id)?; + self.cache_policy + .notify_access(entry_id, CachedBatchType::from(batch.as_ref())); + + match batch.as_ref() { + CacheEntry::MemoryLiquid(array) => Some(array.clone()), + CacheEntry::MemoryArrow(_) => None, + } + } + + /// Iterate over all entries in the cache. + /// No guarantees are made about the order of the entries. + /// Isolation level: read-committed + pub fn for_each_entry(&self, mut f: impl FnMut(&EntryID, &CacheEntry)) { + self.index.for_each(&mut f); + } + + /// Reset the cache. + pub fn reset(&self) { + self.index.reset(); + self.budget.reset_usage(); + } + + /// Check if a batch is cached. + pub fn is_cached(&self, entry_id: &EntryID) -> bool { + self.index.is_cached(entry_id) + } + + /// Get the config of the cache. + pub fn config(&self) -> &CacheConfig { + &self.config + } + + /// Get the budget of the cache. + pub fn budget(&self) -> &BudgetAccounting { + &self.budget + } + + /// Access the cache observer (runtime stats). + pub fn observer(&self) -> &Observer { + &self.observer + } +} + +impl LiquidCache { + /// Insert a batch into the cache, it will run cache replacement policy until the batch is inserted. + pub(crate) fn insert_inner( + &self, + entry_id: EntryID, + mut batch_to_cache: CacheEntry, + ) -> Result<(), CacheFull> { + loop { + let Err(not_inserted) = self.try_insert(entry_id, batch_to_cache) else { + return Ok(()); + }; + + let victims = self.cache_policy.find_memory_victim(8); + if victims.is_empty() { + // No advice, because the cache is already empty: + // the entry to be inserted does not fit in memory at all. + return Err(CacheFull); + } + self.squeeze_victims(victims); + + batch_to_cache = not_inserted; + } + } + + /// Create a new instance of CacheStorage. + pub(crate) fn new( + batch_size: usize, + max_memory_bytes: usize, + squeeze_policy: Box, + cache_policy: Box, + ) -> Self { + let config = CacheConfig::new(batch_size, max_memory_bytes); + let observer = Arc::new(Observer::new()); + Self { + index: ArtIndex::new(), + budget: BudgetAccounting::new(config.max_memory_bytes()), + config, + cache_policy, + squeeze_policy, + observer, + } + } + + fn try_insert(&self, entry_id: EntryID, to_insert: CacheEntry) -> Result<(), CacheEntry> { + let new_memory_size = to_insert.memory_usage_bytes(); + let cached_batch_type = if let Some(entry) = self.index.get(&entry_id) { + let old_memory_size = entry.memory_usage_bytes(); + if self + .budget + .try_update_memory_usage(old_memory_size, new_memory_size) + .is_err() + { + return Err(to_insert); + } + let batch_type = CachedBatchType::from(&to_insert); + self.index.insert(&entry_id, to_insert); + batch_type + } else { + if self.budget.try_reserve_memory(new_memory_size).is_err() { + return Err(to_insert); + } + let batch_type = CachedBatchType::from(&to_insert); + self.index.insert(&entry_id, to_insert); + batch_type + }; + + self.cache_policy + .notify_insert(&entry_id, cached_batch_type); + + Ok(()) + } + + fn remove_memory_entry(&self, entry_id: EntryID) { + let Some(removed) = self.index.remove(&entry_id) else { + return; + }; + self.budget + .try_update_memory_usage(removed.memory_usage_bytes(), 0) + .expect("memory release cannot fail"); + self.cache_policy.notify_remove(&entry_id); + self.observer.on_memory_eviction(); + } + + /// Get the index of the cache. + #[cfg(test)] + pub(crate) fn index(&self) -> &ArtIndex { + &self.index + } + + fn squeeze_victims(&self, victims: Vec) { + for victim in victims { + self.squeeze_victim_inner(victim); + } + } + + fn squeeze_victim_inner(&self, to_squeeze: EntryID) { + let Some(mut to_squeeze_batch) = self.index.get(&to_squeeze) else { + return; + }; + + loop { + let outcome = self.squeeze_policy.squeeze(to_squeeze_batch.as_ref()); + + match outcome { + SqueezeOutcome::Replace(new_batch) => { + match self.try_insert(to_squeeze, new_batch) { + Ok(()) => { + self.observer.on_transcode(); + break; + } + Err(batch) => { + // The replacement did not fit either; squeeze it further. + // The squeeze policies guarantee this converges to `Remove`. + to_squeeze_batch = Arc::new(batch); + } + } + } + SqueezeOutcome::Remove => { + self.remove_memory_entry(to_squeeze); + break; + } + } + } + } + + pub(crate) fn read_arrow_array( + &self, + entry_id: &EntryID, + selection: Option<&BooleanBuffer>, + ) -> Option { + use arrow::array::BooleanArray; + + let batch = self.index.get(entry_id)?; + self.cache_policy + .notify_access(entry_id, CachedBatchType::from(batch.as_ref())); + + match batch.as_ref() { + CacheEntry::MemoryArrow(array) => match selection { + Some(selection) => { + let selection_array = BooleanArray::new(selection.clone(), None); + arrow::compute::filter(array, &selection_array).ok() + } + None => Some(array.clone()), + }, + CacheEntry::MemoryLiquid(array) => match selection { + Some(selection) => Some(array.filter(selection)), + None => Some(array.to_arrow_array()), + }, + } + } + + pub(crate) fn eval_predicate_internal( + &self, + entry_id: &EntryID, + selection_opt: Option<&BooleanBuffer>, + predicate: &LiquidExpr, + ) -> Option { + use arrow::array::BooleanArray; + + self.observer.on_eval_predicate(); + let batch = self.index.get(entry_id)?; + self.cache_policy + .notify_access(entry_id, CachedBatchType::from(batch.as_ref())); + + match batch.as_ref() { + CacheEntry::MemoryArrow(array) => { + let mut owned = None; + let selection = selection_opt.unwrap_or_else(|| { + owned = Some(BooleanBuffer::new_set(array.len())); + owned.as_ref().unwrap() + }); + let selection_array = BooleanArray::new(selection.clone(), None); + let filtered = arrow::compute::filter(array, &selection_array) + .expect("selection must match array length"); + Some(self.eval_predicate_on_array(filtered, predicate)) + } + CacheEntry::MemoryLiquid(array) => { + let mut owned = None; + let selection = selection_opt.unwrap_or_else(|| { + owned = Some(BooleanBuffer::new_set(array.len())); + owned.as_ref().unwrap() + }); + Some(array.try_eval_predicate(predicate, selection)) + } + } + } + + fn eval_predicate_on_array(&self, array: ArrayRef, predicate: &LiquidExpr) -> BooleanArray { + let schema = Arc::new(Schema::new(vec![Field::new( + "liquid_predicate_col", + array.data_type().clone(), + true, + )])); + let record_batch = + RecordBatch::try_new(schema, vec![array]).expect("single-column predicate batch"); + let result = predicate + .physical_expr() + .evaluate(&record_batch) + .expect("validated LiquidExpr must evaluate"); + let boolean_array = result + .into_array(record_batch.num_rows()) + .expect("predicate output must be an array"); + boolean_array.as_boolean().clone() + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::{ + CacheEntry, CachePolicy, LiquidCacheBuilder, LiquidPolicy, transcode_liquid_inner, + utils::{create_cache_store, create_test_array, create_test_arrow_array}, + }; + use crate::sync::thread; + use arrow::array::{Array, ArrayRef, BooleanArray, Int32Array}; + use datafusion_common::ScalarValue; + use datafusion_expr_common::operator::Operator as DFOperator; + use datafusion_physical_expr::PhysicalExpr; + use datafusion_physical_expr::expressions::{BinaryExpr, Column, Literal}; + use std::sync::Arc; + use std::sync::atomic::{AtomicUsize, Ordering}; + + // Unified advice type for more concise testing + #[derive(Debug)] + struct TestPolicy { + target_id: Option, + advice_count: AtomicUsize, + } + + impl TestPolicy { + fn new(target_id: Option) -> Self { + Self { + target_id, + advice_count: AtomicUsize::new(0), + } + } + } + + impl CachePolicy for TestPolicy { + fn find_memory_victim(&self, _cnt: usize) -> Vec { + self.advice_count.fetch_add(1, Ordering::SeqCst); + let id_to_use = self.target_id.unwrap(); + vec![id_to_use] + } + } + + #[test] + fn test_basic_cache_operations() { + // Test basic insert, get, and size tracking in one test + let budget_size = 10 * 1024; + let store = create_cache_store(budget_size, Box::new(LiquidPolicy::new())); + + // 1. Initial budget should be empty + assert_eq!(store.budget.memory_usage_bytes(), 0); + + // 2. Insert and verify first entry + let entry_id1: EntryID = EntryID::from(1); + let array1 = create_test_array(100); + let size1 = array1.memory_usage_bytes(); + store.insert_inner(entry_id1, array1).unwrap(); + + // Verify budget usage and data correctness + assert_eq!(store.budget.memory_usage_bytes(), size1); + let retrieved1 = store.index().get(&entry_id1).unwrap(); + match retrieved1.as_ref() { + CacheEntry::MemoryArrow(arr) => assert_eq!(arr.len(), 100), + _ => panic!("Expected ArrowMemory"), + } + + let entry_id2: EntryID = EntryID::from(2); + let array2 = create_test_array(200); + let size2 = array2.memory_usage_bytes(); + store.insert_inner(entry_id2, array2).unwrap(); + + assert_eq!(store.budget.memory_usage_bytes(), size1 + size2); + + let array3 = create_test_array(150); + let size3 = array3.memory_usage_bytes(); + store.insert_inner(entry_id1, array3).unwrap(); + + assert_eq!(store.budget.memory_usage_bytes(), size3 + size2); + assert!(store.index().get(&EntryID::from(999)).is_none()); + } + + #[test] + fn test_cache_advice_strategies() { + // Under memory pressure, the advised victim is transcoded to liquid. + let entry_id1 = EntryID::from(1); + let entry_id2 = EntryID::from(2); + + let advisor = TestPolicy::new(Some(entry_id1)); + let store = create_cache_store(8000, Box::new(advisor)); // Small budget to force advice + + store + .insert_inner(entry_id1, create_test_array(800)) + .unwrap(); + match store.index().get(&entry_id1).unwrap().as_ref() { + CacheEntry::MemoryArrow(_) => {} + other => panic!("Expected ArrowMemory, got {other:?}"), + } + + store + .insert_inner(entry_id2, create_test_array(800)) + .unwrap(); + match store.index().get(&entry_id1).unwrap().as_ref() { + CacheEntry::MemoryLiquid(_) => {} + other => panic!("Expected LiquidMemory after eviction, got {other:?}"), + } + } + + #[test] + fn test_concurrent_cache_operations() { + concurrent_cache_operations(); + } + + fn concurrent_cache_operations() { + let num_threads = 3; + let ops_per_thread = 50; + + // Large enough that no entry is evicted: with no disk tier, evicted + // entries are gone, so the retrievability invariant below requires + // every entry to fit in memory. + let budget_size = + num_threads * ops_per_thread * create_test_arrow_array(100).get_array_memory_size() * 2; + let store = create_cache_store(budget_size, Box::new(LiquidPolicy::new())); + + let mut handles = vec![]; + for thread_id in 0..num_threads { + let store = store.clone(); + handles.push(thread::spawn(move || { + for i in 0..ops_per_thread { + let unique_id = thread_id * ops_per_thread + i; + let entry_id: EntryID = EntryID::from(unique_id); + let array = create_test_arrow_array(100); + store.insert(entry_id, array).execute().unwrap(); + } + })); + } + for handle in handles { + handle.join().unwrap(); + } + + // Invariant 1: Every previously inserted entry can be retrieved + for thread_id in 0..num_threads { + for i in 0..ops_per_thread { + let unique_id = thread_id * ops_per_thread + i; + let entry_id: EntryID = EntryID::from(unique_id); + assert!(store.index().get(&entry_id).is_some()); + } + } + + // Invariant 2: Number of entries matches number of insertions + assert_eq!(store.index().keys().len(), num_threads * ops_per_thread); + } + + #[test] + fn test_cache_stats_memory_usage() { + let storage = LiquidCacheBuilder::new() + .with_max_memory_bytes(10 * 1024 * 1024) + .build(); + + // Insert two small batches + let arr1: ArrayRef = Arc::new(Int32Array::from_iter_values(0..64)); + let arr2: ArrayRef = Arc::new(Int32Array::from_iter_values(0..128)); + storage + .insert(EntryID::from(1usize), arr1) + .execute() + .unwrap(); + storage + .insert(EntryID::from(2usize), arr2) + .execute() + .unwrap(); + + // Stats after insert: 2 entries, memory usage > 0 + let s = storage.stats(); + assert_eq!(s.total_entries, 2); + assert_eq!(s.memory_arrow_entries, 2); + assert_eq!(s.memory_liquid_entries, 0); + assert!(s.memory_usage_bytes > 0); + assert_eq!(s.max_memory_bytes, 10 * 1024 * 1024); + } + + #[test] + fn insert_returns_cache_full_when_memory_is_saturated() { + let cache = LiquidCacheBuilder::new().with_max_memory_bytes(0).build(); + let array: ArrayRef = Arc::new(Int32Array::from_iter_values(0..16)); + + let err = cache.insert(EntryID::from(900usize), array).execute(); + + assert_eq!(err, Err(CacheFull)); + assert!(!cache.is_cached(&EntryID::from(900usize))); + } + + #[test] + fn eviction_under_memory_pressure_keeps_newest_entries() { + // Budget fits roughly one arrow entry; older entries must be transcoded or evicted. + let first_array: ArrayRef = Arc::new(Int32Array::from_iter_values(0..1024)); + let entry_size = first_array.get_array_memory_size(); + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(entry_size + entry_size / 2) + .with_cache_policy(Box::new(LiquidPolicy::new())) + .build(); + + let first = EntryID::from(910usize); + let second = EntryID::from(911usize); + cache.insert(first, first_array).execute().unwrap(); + assert!(cache.is_cached(&first)); + + let second_array: ArrayRef = Arc::new(Int32Array::from_iter_values(1024..2048)); + cache.insert(second, second_array).execute().unwrap(); + assert!(cache.is_cached(&second)); + assert!(cache.budget().memory_usage_bytes() <= cache.budget().max_memory_bytes()); + } + + #[test] + fn eviction_releases_budget() { + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(1 << 20) + .build(); + let entry = EntryID::from(914usize); + let array: ArrayRef = Arc::new(Int32Array::from_iter_values(0..16)); + cache.insert(entry, array).execute().unwrap(); + let before = cache.stats().memory_usage_bytes; + assert!(before > 0); + + cache.remove_memory_entry(entry); + + assert_eq!(cache.stats().memory_usage_bytes, 0); + assert!(!cache.is_cached(&entry)); + } + + #[test] + fn get_with_selection_filters_rows() { + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(1 << 20) + .build(); + let entry = EntryID::from(915usize); + let array: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3, 4])); + cache.insert(entry, array).execute().unwrap(); + + let selection = arrow::buffer::BooleanBuffer::from(vec![true, false, true, false]); + let result = cache + .get(&entry) + .with_selection(&selection) + .read() + .expect("present"); + let expected = Int32Array::from(vec![1, 3]); + assert_eq!(result.as_ref(), &expected as &dyn Array); + } + + #[test] + fn eval_predicate_on_arrow_and_liquid_entries() { + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(1 << 20) + .build(); + let arrow_entry = EntryID::from(916usize); + let liquid_entry = EntryID::from(917usize); + + let array: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3, 4])); + cache.insert(arrow_entry, array.clone()).execute().unwrap(); + + let liquid = transcode_liquid_inner(&array).unwrap(); + cache + .insert_inner(liquid_entry, CacheEntry::memory_liquid(liquid)) + .unwrap(); + + let expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("liquid_predicate_col", 0)), + DFOperator::Gt, + Arc::new(Literal::new(ScalarValue::Int32(Some(2)))), + )); + let predicate = LiquidExpr::new_unchecked(expr); + let expected = BooleanArray::from(vec![false, false, true, true]); + + for entry in [arrow_entry, liquid_entry] { + let got = cache + .eval_predicate(&entry, &predicate) + .read() + .expect("entry present"); + assert_eq!(got, expected); + } + } + + #[test] + fn try_read_liquid_returns_only_liquid_entries() { + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(1 << 20) + .build(); + let arrow_entry = EntryID::from(918usize); + let liquid_entry = EntryID::from(919usize); + + let array: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3])); + cache.insert(arrow_entry, array.clone()).execute().unwrap(); + let liquid = transcode_liquid_inner(&array).unwrap(); + cache + .insert_inner(liquid_entry, CacheEntry::memory_liquid(liquid)) + .unwrap(); + + assert!(cache.try_read_liquid(&arrow_entry).is_none()); + let read = cache.try_read_liquid(&liquid_entry).expect("liquid entry"); + assert_eq!(read.to_arrow_array().as_ref(), array.as_ref()); + } + + #[test] + fn reset_clears_entries_and_budget() { + let cache = LiquidCacheBuilder::new() + .with_max_memory_bytes(1 << 20) + .build(); + let entry = EntryID::from(920usize); + let array: ArrayRef = Arc::new(Int32Array::from(vec![1, 2, 3])); + cache.insert(entry, array).execute().unwrap(); + assert!(cache.is_cached(&entry)); + + cache.reset(); + + assert!(!cache.is_cached(&entry)); + assert_eq!(cache.budget().memory_usage_bytes(), 0); + assert_eq!(cache.stats().total_entries, 0); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/index.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/index.rs new file mode 100644 index 0000000000000..a25fec751ac6c --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/index.rs @@ -0,0 +1,146 @@ +use congee::CongeeArc; +use std::{ + fmt::{Debug, Formatter}, + sync::{ + Arc, + atomic::{AtomicUsize, Ordering}, + }, +}; + +use crate::cache::{cached_batch::CacheEntry, utils::EntryID}; + +pub(crate) struct ArtIndex { + art: CongeeArc, + entry_count: AtomicUsize, +} + +impl Debug for ArtIndex { + fn fmt(&self, _f: &mut Formatter<'_>) -> std::fmt::Result { + Ok(()) + } +} + +impl ArtIndex { + pub(crate) fn new() -> Self { + let art: CongeeArc = CongeeArc::new(); + Self { + art, + entry_count: AtomicUsize::new(0), + } + } + + pub(crate) fn get(&self, entry_id: &EntryID) -> Option> { + let guard = self.art.pin(); + let batch = self.art.get(*entry_id, &guard)?; + Some(batch) + } + + pub(crate) fn is_cached(&self, entry_id: &EntryID) -> bool { + let guard = self.art.pin(); + self.art.get(*entry_id, &guard).is_some() + } + + pub(crate) fn insert(&self, entry_id: &EntryID, batch: CacheEntry) { + let guard = self.art.pin(); + let existing = self + .art + .insert(*entry_id, Arc::new(batch), &guard) + .expect("Insertion failed"); + if existing.is_none() { + self.entry_count.fetch_add(1, Ordering::Relaxed); + } + } + + pub(crate) fn remove(&self, entry_id: &EntryID) -> Option> { + let guard = self.art.pin(); + let removed = self.art.remove(*entry_id, &guard); + if removed.is_some() { + self.entry_count.fetch_sub(1, Ordering::Relaxed); + } + removed + } + + pub(crate) fn reset(&self) { + let guard = self.art.pin(); + self.art.keys().into_iter().for_each(|k| { + _ = self.art.remove(k, &guard).unwrap(); + }); + self.entry_count.store(0, Ordering::Relaxed); + } + + pub(crate) fn for_each(&self, mut f: impl FnMut(&EntryID, &CacheEntry)) { + let guard = self.art.pin(); + for id in self.art.keys().into_iter() { + f( + &id, + &self + .art + .get(id, &guard) + .expect("Failed to get value from ART"), + ); + } + } + + #[cfg(test)] + pub(crate) fn keys(&self) -> Vec { + self.art.keys() + } + + pub(crate) fn entry_count(&self) -> usize { + self.entry_count.load(Ordering::Relaxed) + } +} + +#[cfg(test)] +mod tests { + use crate::cache::cached_batch::CacheEntry; + use crate::cache::utils::create_test_array; + + use super::*; + + #[test] + fn test_get_and_is_cached() { + let store = ArtIndex::new(); + let entry_id1: EntryID = EntryID::from(1); + let entry_id2: EntryID = EntryID::from(2); + let array1 = create_test_array(100); + + // Initially, entries should not be cached + assert!(!store.is_cached(&entry_id1)); + assert!(!store.is_cached(&entry_id2)); + assert!(store.get(&entry_id1).is_none()); + + // Insert an entry and verify it's cached + { + store.insert(&entry_id1, array1.clone()); + } + + assert!(store.is_cached(&entry_id1)); + assert!(!store.is_cached(&entry_id2)); + + // Get should return the cached value + match store.get(&entry_id1) { + Some(batch) => match batch.as_ref() { + CacheEntry::MemoryArrow(arr) => assert_eq!(arr.len(), 100), + _ => panic!("Expected ArrowMemory batch"), + }, + None => panic!("Expected ArrowMemory batch"), + } + } + + #[test] + fn test_reset() { + let store = ArtIndex::new(); + let entry_id: EntryID = EntryID::from(1); + let array = create_test_array(100); + + store.insert(&entry_id, array.clone()); + + let entry_id: EntryID = EntryID::from(1); + assert!(store.is_cached(&entry_id)); + + store.reset(); + let entry_id: EntryID = EntryID::from(1); + assert!(!store.is_cached(&entry_id)); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/liquid_expr.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/liquid_expr.rs new file mode 100644 index 0000000000000..0c808c198a33a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/liquid_expr.rs @@ -0,0 +1,196 @@ +use arrow_schema::DataType; +use datafusion_common::ScalarValue; +use datafusion_expr_common::operator::Operator; +use datafusion_physical_expr::expressions::{ + BinaryExpr, CastExpr, Column, DynamicFilterPhysicalExpr, Literal, TryCastExpr, +}; +use datafusion_physical_expr::{PhysicalExpr, ScalarFunctionExpr}; + +use crate::sync::Arc; +use crate::utils::get_bytes_needle; + +/// A predicate expression validated for LiquidCache predicate evaluation. +#[derive(Clone)] +pub struct LiquidExpr { + expr: Arc, +} + +impl std::fmt::Debug for LiquidExpr { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("LiquidExpr") + .field("expr", &self.expr.to_string()) + .finish() + } +} + +impl LiquidExpr { + /// Validate and wrap a physical expression for LiquidCache predicate evaluation. + /// + /// Returns `None` when the expression shape or operator is unsupported for the + /// provided column type. + pub fn try_new(expr: Arc, data_type: &DataType) -> Option { + let normalized = unwrap_dynamic_filter(&expr)?; + if supports_expr(&normalized, data_type) { + Some(Self { expr: normalized }) + } else { + None + } + } + + /// Get the underlying validated physical expression. + pub fn physical_expr(&self) -> &Arc { + &self.expr + } + + #[cfg(test)] + pub(crate) fn new_unchecked(expr: Arc) -> Self { + Self { expr } + } +} + +fn unwrap_dynamic_filter(expr: &Arc) -> Option> { + if let Some(dynamic_filter) = expr.downcast_ref::() { + dynamic_filter.current().ok() + } else { + Some(expr.clone()) + } +} + +fn supports_expr(expr: &Arc, data_type: &DataType) -> bool { + if let Some(binary) = expr.downcast_ref::() { + return supports_binary_expr(binary, data_type); + } + + if let Some(literal) = expr.downcast_ref::() { + return matches!(literal.value(), ScalarValue::Boolean(Some(_))) && is_byte_like(data_type); + } + + false +} + +fn supports_binary_expr(binary: &BinaryExpr, data_type: &DataType) -> bool { + let Some(literal) = binary.right().downcast_ref::() else { + return false; + }; + let op = binary.op(); + if is_byte_like(data_type) { + if !is_column_like(binary.left()) { + return false; + } + + match op { + Operator::Eq + | Operator::NotEq + | Operator::Lt + | Operator::LtEq + | Operator::Gt + | Operator::GtEq => get_bytes_needle(literal.value()).is_some(), + _ => false, + } + } else if is_numeric_like(data_type) { + matches!( + op, + Operator::Eq + | Operator::NotEq + | Operator::Lt + | Operator::LtEq + | Operator::Gt + | Operator::GtEq + ) && (is_column_like(binary.left()) || is_to_timestamp_seconds_column(binary.left())) + } else { + false + } +} + +fn is_column_like(expr: &Arc) -> bool { + if expr.downcast_ref::().is_some() { + return true; + } + if let Some(cast_expr) = expr.downcast_ref::() { + return is_column_like(cast_expr.expr()); + } + if let Some(try_cast_expr) = expr.downcast_ref::() { + return is_column_like(try_cast_expr.expr()); + } + false +} + +fn is_to_timestamp_seconds_column(expr: &Arc) -> bool { + if let Some(func) = expr.downcast_ref::() + && func.name() == "to_timestamp_seconds" + && let [arg] = func.args() + { + return is_column_like(arg); + } + false +} + +fn is_byte_like(data_type: &DataType) -> bool { + match data_type { + DataType::Utf8 | DataType::Utf8View | DataType::Binary | DataType::BinaryView => true, + DataType::Dictionary(_, value_type) => is_byte_like(value_type.as_ref()), + _ => false, + } +} + +fn is_numeric_like(data_type: &DataType) -> bool { + matches!( + data_type, + DataType::Int8 + | DataType::Int16 + | DataType::Int32 + | DataType::Int64 + | DataType::UInt8 + | DataType::UInt16 + | DataType::UInt32 + | DataType::UInt64 + | DataType::Float32 + | DataType::Float64 + | DataType::Date32 + | DataType::Date64 + | DataType::Decimal128(_, _) + | DataType::Decimal256(_, _) + ) || matches!(data_type, DataType::Timestamp(_, None)) +} + +#[cfg(test)] +mod tests { + use super::*; + use datafusion_common::ScalarValue; + use datafusion_physical_expr::expressions::{BinaryExpr, Column}; + + #[test] + fn validates_byte_comparison_with_literal() { + let expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("c", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Utf8(Some("x".to_string())))), + )); + let liquid_expr = LiquidExpr::try_new(expr, &DataType::Utf8); + assert!(liquid_expr.is_some()); + } + + #[test] + fn validates_numeric_comparison() { + let expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("c", 0)), + Operator::Gt, + Arc::new(Literal::new(ScalarValue::Int32(Some(42)))), + )); + let liquid_expr = LiquidExpr::try_new(expr, &DataType::Int32); + assert!(liquid_expr.is_some()); + } + + #[test] + fn rejects_unsupported_like_expression() { + use datafusion_physical_expr::expressions::LikeExpr; + let expr: Arc = Arc::new(LikeExpr::new( + false, + false, + Arc::new(Column::new("c", 0)), + Arc::new(Literal::new(ScalarValue::Utf8(Some("%abc%".to_string())))), + )); + let liquid_expr = LiquidExpr::try_new(expr, &DataType::Utf8); + assert!(liquid_expr.is_none()); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/mod.rs new file mode 100644 index 0000000000000..4ae208e5bae1e --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/mod.rs @@ -0,0 +1,35 @@ +//! Cache layer for liquid cache. + +mod budget; +mod builders; +mod cached_batch; +mod core; +mod index; +mod liquid_expr; +mod observer; +pub mod policies; +mod transcode; +mod utils; + +pub use builders::{EvaluatePredicate, Get, Insert, LiquidCacheBuilder}; +pub use cached_batch::{CacheEntry, CachedBatchType}; +pub use core::{CacheFull, LiquidCache}; +pub use liquid_expr::LiquidExpr; +pub use observer::Observer; +pub use observer::{CacheStats, RuntimeStats, RuntimeStatsSnapshot}; +pub use policies::{ + CachePolicy, Evict, LiquidPolicy, LruPolicy, SqueezeOutcome, SqueezePolicy, TranscodeEvict, +}; +pub use transcode::transcode_liquid_inner; +pub use utils::EntryID; + +// Backwards-compatible module paths for existing imports. +/// Legacy path: re-export cache policy types under `cache::cache_policies`. +pub mod cache_policies { + pub use super::policies::cache::*; +} + +/// Legacy path: re-export squeeze policy types under `cache::squeeze_policies`. +pub mod squeeze_policies { + pub use super::policies::squeeze::*; +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/mod.rs new file mode 100644 index 0000000000000..07ab4e1c208bd --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/mod.rs @@ -0,0 +1,64 @@ +mod stats; + +pub use stats::{CacheStats, RuntimeStats, RuntimeStatsSnapshot}; + +use stats::{RuntimeStats as RuntimeStatsInner, RuntimeStatsSnapshot as RuntimeStatsSnapshotInner}; + +#[derive(Debug)] +/// Cache-side observer for runtime stats. +pub struct Observer { + runtime: RuntimeStatsInner, +} + +impl Default for Observer { + fn default() -> Self { + Self::new() + } +} + +impl Observer { + /// Create a new observer with all counters reset. + pub fn new() -> Self { + Self { + runtime: RuntimeStatsInner::default(), + } + } + + /// Snapshot runtime counters and reset them to zero. + pub fn runtime_snapshot(&self) -> RuntimeStatsSnapshotInner { + self.runtime.consume_snapshot() + } + + #[inline] + pub(crate) fn on_get(&self, selection: bool) { + self.runtime.incr_get(); + if selection { + self.runtime.incr_get_with_selection(); + } + } + + #[inline] + pub(crate) fn on_try_read_liquid(&self) { + self.runtime.incr_try_read_liquid(); + } + + #[inline] + pub(crate) fn on_eval_predicate(&self) { + self.runtime.incr_eval_predicate(); + } + + #[inline] + pub(crate) fn on_memory_eviction(&self) { + self.runtime.incr_memory_evictions(); + } + + #[inline] + pub(crate) fn on_transcode(&self) { + self.runtime.incr_transcodes(); + } + + /// Access the underlying runtime statistics counters. + pub fn runtime_stats(&self) -> &RuntimeStats { + &self.runtime + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/stats.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/stats.rs new file mode 100644 index 0000000000000..d4b39dfbcbfcf --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/observer/stats.rs @@ -0,0 +1,127 @@ +use std::fmt; +use std::sync::atomic::{AtomicU64, Ordering}; + +/// Macro to define runtime statistics metrics. +/// +/// Usage: +/// ```ignore +/// define_runtime_stats! { +/// (field_name, "doc comment", method_name), +/// ... +/// } +/// ``` +/// +/// This generates: +/// - Fields in `RuntimeStats` struct +/// - Fields in `RuntimeStatsSnapshot` struct +/// - Increment methods (`incr_*`) +/// - `consume_snapshot` implementation +/// - `reset` implementation +macro_rules! define_runtime_stats { + ( + $( + ($field:ident, $doc:literal, $method:ident) + ),* $(,)? + ) => { + /// Atomic runtime counters for cache API calls. + #[derive(Debug, Default)] + pub struct RuntimeStats { + $( + #[doc = $doc] + pub(crate) $field: AtomicU64, + )* + } + + /// Immutable snapshot of [`RuntimeStats`]. + #[derive(Debug, Clone, Copy, serde::Serialize, serde::Deserialize)] + pub struct RuntimeStatsSnapshot { + $( + #[doc = concat!("Total ", stringify!($field), ".")] + pub $field: u64, + )* + } + + impl RuntimeStats { + /// Return an immutable snapshot of the current runtime counters and reset the stats to 0. + pub fn consume_snapshot(&self) -> RuntimeStatsSnapshot { + let v = RuntimeStatsSnapshot { + $( + $field: self.$field.load(Ordering::Relaxed), + )* + }; + self.reset(); + v + } + + $( + /// Increment counter. + #[inline] + pub fn $method(&self) { + self.$field.fetch_add(1, Ordering::Relaxed); + } + )* + + /// Reset the runtime stats to 0. + pub fn reset(&self) { + $( + self.$field.store(0, Ordering::Relaxed); + )* + } + } + + impl fmt::Display for RuntimeStats { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + writeln!(f, "RuntimeStats:")?; + $( + writeln!(f, " {}: {}", stringify!($field), self.$field.load(Ordering::Relaxed))?; + )* + Ok(()) + } + } + + impl fmt::Display for RuntimeStatsSnapshot { + fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result { + writeln!(f, "RuntimeStatsSnapshot:")?; + $( + writeln!(f, " {}: {}", stringify!($field), self.$field)?; + )* + Ok(()) + } + } + }; +} + +// Define all runtime statistics metrics here. +// To add a new metric, add a line: (field_name, "doc comment", method_name) +define_runtime_stats! { + (get, "Number of `get` calls issued via `CachedData`.", incr_get), + (get_with_selection, "Number of `get_with_selection` calls issued via `CachedData`.", incr_get_with_selection), + (eval_predicate, "Number of `eval_predicate` calls issued via `CachedData`.", incr_eval_predicate), + (cache_hit, "Number of cache hits (data found in cache).", incr_cache_hit), + (cache_miss, "Number of cache misses (data not in cache, fell back to Parquet).", incr_cache_miss), + (try_read_liquid_calls, "Number of `try_read_liquid` calls issued via `CachedData`.", incr_try_read_liquid), + (eval_predicate_on_liquid_failed, "Number of `eval_predicate` calls that failed on Liquid array.", incr_eval_predicate_on_liquid_failed), + (memory_evictions, "Number of cache entries evicted from memory.", incr_memory_evictions), + (transcodes, "Number of Arrow entries transcoded to Liquid under memory pressure.", incr_transcodes), +} + +/// Snapshot of cache statistics. +#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)] +pub struct CacheStats { + /// Total number of entries in the cache. + pub total_entries: usize, + /// Number of in-memory Arrow entries. + pub memory_arrow_entries: usize, + /// Number of in-memory Liquid entries. + pub memory_liquid_entries: usize, + /// Total size of in-memory Arrow entries in bytes. + pub memory_arrow_bytes: usize, + /// Total size of in-memory Liquid entries in bytes. + pub memory_liquid_bytes: usize, + /// Total memory usage of the cache. + pub memory_usage_bytes: usize, + /// Maximum memory size. + pub max_memory_bytes: usize, + /// Runtime counters snapshot. + pub runtime: RuntimeStatsSnapshot, +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/doubly_linked_list.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/doubly_linked_list.rs new file mode 100644 index 0000000000000..1a48caafdb26b --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/doubly_linked_list.rs @@ -0,0 +1,125 @@ +use std::ptr::NonNull; + +/// Intrusive doubly linked list node used by cache policies. +#[derive(Debug)] +pub(crate) struct DoublyLinkedNode { + pub(crate) data: T, + pub(crate) prev: Option>, + pub(crate) next: Option>, +} + +impl DoublyLinkedNode { + pub(crate) fn new(data: T) -> Box { + Box::new(Self { + data, + prev: None, + next: None, + }) + } +} + +/// Intrusive doubly linked list utility shared across cache policies. +#[derive(Debug)] +pub(crate) struct DoublyLinkedList { + head: Option>>, + tail: Option>>, +} + +impl Default for DoublyLinkedList { + fn default() -> Self { + Self::new() + } +} + +impl DoublyLinkedList { + pub(crate) fn new() -> Self { + Self { + head: None, + tail: None, + } + } + + pub(crate) fn head(&self) -> Option>> { + self.head + } + + #[allow(dead_code)] + pub(crate) fn tail(&self) -> Option>> { + self.tail + } + + /// Inserts the node at the front (head) of the list. + pub(crate) unsafe fn push_front(&mut self, mut node_ptr: NonNull>) { + let node = unsafe { node_ptr.as_mut() }; + node.prev = None; + node.next = self.head; + + if let Some(mut head) = self.head { + unsafe { head.as_mut().prev = Some(node_ptr) }; + } else { + self.tail = Some(node_ptr); + } + + self.head = Some(node_ptr); + } + + /// Inserts the node at the back (tail) of the list. + pub(crate) unsafe fn push_back(&mut self, mut node_ptr: NonNull>) { + let node = unsafe { node_ptr.as_mut() }; + node.next = None; + node.prev = self.tail; + + if let Some(mut tail) = self.tail { + unsafe { tail.as_mut().next = Some(node_ptr) }; + } else { + self.head = Some(node_ptr); + } + + self.tail = Some(node_ptr); + } + + /// Moves an existing node to the front of the list. + #[allow(dead_code)] + pub(crate) unsafe fn move_to_front(&mut self, node_ptr: NonNull>) { + unsafe { + self.unlink(node_ptr); + self.push_front(node_ptr); + } + } + + /// Unlinks `node_ptr` from the list without deallocating it. + pub(crate) unsafe fn unlink(&mut self, mut node_ptr: NonNull>) { + let node = unsafe { node_ptr.as_mut() }; + + match node.prev { + Some(mut prev) => unsafe { prev.as_mut().next = node.next }, + None => self.head = node.next, + } + + match node.next { + Some(mut next) => unsafe { next.as_mut().prev = node.prev }, + None => self.tail = node.prev, + } + + node.prev = None; + node.next = None; + } + + /// Drops all nodes currently owned by the list. + pub(crate) unsafe fn drop_all(&mut self) { + let mut current = self.head; + while let Some(node_ptr) = current { + current = unsafe { node_ptr.as_ref().next }; + unsafe { + drop(Box::from_raw(node_ptr.as_ptr())); + } + } + self.head = None; + self.tail = None; + } +} + +/// Drops the boxed node referenced by `ptr`. +pub(crate) unsafe fn drop_boxed_node(ptr: NonNull>) { + unsafe { drop(Box::from_raw(ptr.as_ptr())) } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/lru.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/lru.rs new file mode 100644 index 0000000000000..0cd8df7d45bc0 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/lru.rs @@ -0,0 +1,246 @@ +//! LRU (Least Recently Used) cache eviction policy. +//! +//! Uses 2 queues by entry type (Arrow, Liquid), same as LiquidPolicy. +//! Within each queue, entries are ordered by recency (moved to back on access). +//! Eviction priority: Arrow (largest) first, then Liquid. +//! Within each queue, evicts the LRU entry (front of the queue). + +use crate::cache::cached_batch::CachedBatchType; +use crate::cache::utils::EntryID; +use crate::sync::Mutex; +use ahash::AHashMap; +use std::ptr::NonNull; + +use super::CachePolicy; +use super::doubly_linked_list::{DoublyLinkedList, DoublyLinkedNode, drop_boxed_node}; + +/// Which queue an entry belongs to. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +enum LruQueueKind { + Arrow, + Liquid, +} + +/// LRU cache eviction policy with type-aware queues. +/// +/// On insert: entry goes to the back of its type queue (most recently used). +/// On access: entry moves to the back of its type queue. +/// On eviction: picks the LRU entry from Arrow queue first, then Liquid. +#[derive(Debug)] +pub struct LruPolicy { + inner: Mutex, +} + +#[derive(Debug)] +struct LruInner { + arrow: DoublyLinkedList, + liquid: DoublyLinkedList, + /// Maps entry_id → (node_ptr, which queue it's in) + map: AHashMap>, LruQueueKind)>, +} + +// Safety: We control access via Mutex and never expose raw pointers outside. +unsafe impl Send for LruInner {} +unsafe impl Sync for LruInner {} + +impl LruInner { + fn queue_mut(&mut self, kind: LruQueueKind) -> &mut DoublyLinkedList { + match kind { + LruQueueKind::Arrow => &mut self.arrow, + LruQueueKind::Liquid => &mut self.liquid, + } + } + + fn queue_kind_for(batch_type: CachedBatchType) -> LruQueueKind { + match batch_type { + CachedBatchType::MemoryArrow => LruQueueKind::Arrow, + CachedBatchType::MemoryLiquid => LruQueueKind::Liquid, + } + } + + /// Pop the LRU entry (front) from a specific queue. + fn pop_lru(&mut self, kind: LruQueueKind) -> Option { + let list = self.queue_mut(kind); + let node_ptr = list.head()?; + let entry_id = unsafe { node_ptr.as_ref().data }; + unsafe { list.unlink(node_ptr) }; + self.map.remove(&entry_id); + unsafe { drop_boxed_node(node_ptr) }; + Some(entry_id) + } +} + +impl LruPolicy { + /// Create a new LRU policy. + pub fn new() -> Self { + Self { + inner: Mutex::new(LruInner { + arrow: DoublyLinkedList::new(), + liquid: DoublyLinkedList::new(), + map: AHashMap::new(), + }), + } + } +} + +impl Default for LruPolicy { + fn default() -> Self { + Self::new() + } +} + +impl CachePolicy for LruPolicy { + fn find_memory_victim(&self, cnt: usize) -> Vec { + let mut inner = self.inner.lock().unwrap(); + let mut victims = Vec::with_capacity(cnt); + + while victims.len() < cnt { + // Priority: evict Arrow (largest) first, then Liquid + if let Some(entry) = inner.pop_lru(LruQueueKind::Arrow) { + victims.push(entry); + continue; + } + if let Some(entry) = inner.pop_lru(LruQueueKind::Liquid) { + victims.push(entry); + continue; + } + break; + } + + victims + } + + fn notify_insert(&self, entry_id: &EntryID, batch_type: CachedBatchType) { + let mut inner = self.inner.lock().unwrap(); + let target = LruInner::queue_kind_for(batch_type); + + // If already present, remove from old position/queue + if let Some((node_ptr, old_kind)) = inner.map.remove(entry_id) { + let old_list = inner.queue_mut(old_kind); + unsafe { old_list.unlink(node_ptr) }; + unsafe { drop_boxed_node(node_ptr) }; + } + + // Insert at the back of the target queue (most recently used) + let node = DoublyLinkedNode::new(*entry_id); + let node_ptr = NonNull::new(Box::into_raw(node)).unwrap(); + let list = inner.queue_mut(target); + unsafe { list.push_back(node_ptr) }; + inner.map.insert(*entry_id, (node_ptr, target)); + } + + fn notify_access(&self, entry_id: &EntryID, _batch_type: CachedBatchType) { + let mut inner = self.inner.lock().unwrap(); + + let Some(&(node_ptr, kind)) = inner.map.get(entry_id) else { + return; + }; + + // Move to back of its current queue (most recently used) + let list = inner.queue_mut(kind); + unsafe { + list.unlink(node_ptr); + list.push_back(node_ptr); + } + } + + fn notify_remove(&self, entry_id: &EntryID) { + let mut inner = self.inner.lock().unwrap(); + + if let Some((node_ptr, kind)) = inner.map.remove(entry_id) { + let list = inner.queue_mut(kind); + unsafe { list.unlink(node_ptr) }; + unsafe { drop_boxed_node(node_ptr) }; + } + } +} + +impl Drop for LruPolicy { + fn drop(&mut self) { + let mut inner = self.inner.lock().unwrap(); + unsafe { + inner.arrow.drop_all(); + inner.liquid.drop_all(); + } + inner.map.clear(); + } +} + +#[cfg(test)] +mod tests { + use super::*; + + fn entry(id: usize) -> EntryID { + EntryID::from(id) + } + + #[test] + fn test_lru_evicts_arrow_first() { + let policy = LruPolicy::new(); + + // Insert entries: some Arrow, some Liquid + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(2), CachedBatchType::MemoryLiquid); + policy.notify_insert(&entry(3), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(4), CachedBatchType::MemoryLiquid); + + // Evict 1 — should pick from Arrow queue first (LRU = entry 1) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(1)]); + + // Evict 1 more — next Arrow LRU = entry 3 + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(3)]); + + // Evict 1 more — Arrow empty, now Liquid LRU = entry 2 + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(2)]); + } + + #[test] + fn test_lru_access_moves_to_back() { + let policy = LruPolicy::new(); + + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(2), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(3), CachedBatchType::MemoryArrow); + + // Access entry 1 — moves it to back + policy.notify_access(&entry(1), CachedBatchType::MemoryArrow); + + // Evict 1 — LRU is now entry 2 (entry 1 was moved to back) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(2)]); + } + + #[test] + fn test_lru_insert_moves_between_queues() { + let policy = LruPolicy::new(); + + // Insert as Arrow + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + + // Re-insert same entry as Liquid (simulates transcode) + policy.notify_insert(&entry(1), CachedBatchType::MemoryLiquid); + + // Arrow queue should be empty now + let victims = policy.find_memory_victim(1); + // Should come from Liquid queue + assert_eq!(victims, vec![entry(1)]); + } + + #[test] + fn test_lru_remove() { + let policy = LruPolicy::new(); + + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(2), CachedBatchType::MemoryArrow); + + // Remove entry 1 + policy.notify_remove(&entry(1)); + + // Evict — should get entry 2 (entry 1 was removed) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(2)]); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/mod.rs new file mode 100644 index 0000000000000..5e2e6f483c653 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/mod.rs @@ -0,0 +1,188 @@ +//! Cache policies for liquid cache. + +use crate::cache::cached_batch::CachedBatchType; +use crate::cache::utils::EntryID; + +mod doubly_linked_list; +mod lru; +mod three_queue; + +pub use lru::LruPolicy; +pub use three_queue::LiquidPolicy; + +/// The cache policy that guides the replacement of LiquidCache +pub trait CachePolicy: std::fmt::Debug + Send + Sync { + /// Give cnt amount of entries to evict when cache is full. + fn find_memory_victim(&self, cnt: usize) -> Vec; + + /// Notify the cache policy that an entry was inserted. + fn notify_insert(&self, _entry_id: &EntryID, _batch_type: CachedBatchType) {} + + /// Notify the cache policy that an entry was accessed. + fn notify_access(&self, _entry_id: &EntryID, _batch_type: CachedBatchType) {} + + /// Notify the cache policy that an entry was removed. + fn notify_remove(&self, _entry_id: &EntryID) {} +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::utils::EntryID; + use crate::sync::{Arc, Mutex, thread}; + + fn entry(id: usize) -> EntryID { + id.into() + } + + fn concurrent_invariant_advice_once(policy: Arc) { + let num_threads = 4; + + for i in 0..100 { + policy.notify_insert(&entry(i), CachedBatchType::MemoryArrow); + } + + let advised_entries = Arc::new(Mutex::new(Vec::new())); + + let mut handles = Vec::new(); + for _ in 0..num_threads { + let policy_clone = policy.clone(); + let advised_entries_clone = advised_entries.clone(); + + let handle = thread::spawn(move || { + let advice = policy_clone.find_memory_victim(1); + if let Some(entry_id) = advice.first() { + let mut entries = advised_entries_clone.lock().unwrap(); + entries.push(*entry_id); + } + }); + + handles.push(handle); + } + + for handle in handles { + handle.join().unwrap(); + } + + let entries = advised_entries.lock().unwrap(); + let mut unique_entries = entries.clone(); + unique_entries.sort(); + unique_entries.dedup(); + + assert_eq!( + entries.len(), + unique_entries.len(), + "Some entries were advised for eviction multiple times: {entries:?}" + ); + } + + fn run_concurrent_invariant_tests() { + concurrent_invariant_advice_once(Arc::new(LiquidPolicy::new())); + concurrent_invariant_advice_once(Arc::new(super::LruPolicy::new())); + } + + #[test] + fn test_concurrent_invariant_advice_once() { + run_concurrent_invariant_tests(); + } + + #[test] + fn lru_evicts_least_recently_used() { + let policy = LruPolicy::new(); + + // Insert entries 0, 1, 2, 3 in order + for i in 0..4 { + policy.notify_insert(&entry(i), CachedBatchType::MemoryArrow); + } + + // Evict 1 → should be entry 0 (oldest) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(0)]); + + // Evict 1 more → should be entry 1 + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(1)]); + } + + #[test] + fn lru_access_moves_to_back() { + let policy = LruPolicy::new(); + + // Insert 0, 1, 2 + for i in 0..3 { + policy.notify_insert(&entry(i), CachedBatchType::MemoryArrow); + } + + // Access entry 0 → moves it to back + policy.notify_access(&entry(0), CachedBatchType::MemoryArrow); + + // Evict → should be entry 1 now (0 was moved to back) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(1)]); + + // Evict → entry 2 + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(2)]); + + // Evict → entry 0 (was moved to back by access) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(0)]); + } + + #[test] + fn lru_remove_removes_entry() { + let policy = LruPolicy::new(); + + for i in 0..3 { + policy.notify_insert(&entry(i), CachedBatchType::MemoryArrow); + } + + // Remove entry 1 + policy.notify_remove(&entry(1)); + + // Evict → entry 0, then entry 2 (entry 1 is gone) + let victims = policy.find_memory_victim(2); + assert_eq!(victims, vec![entry(0), entry(2)]); + } + + #[test] + fn lru_evict_more_than_available() { + let policy = LruPolicy::new(); + + policy.notify_insert(&entry(0), CachedBatchType::MemoryArrow); + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + + // Ask for 5 but only 2 exist + let victims = policy.find_memory_victim(5); + assert_eq!(victims.len(), 2); + assert_eq!(victims, vec![entry(0), entry(1)]); + + // Empty now + let victims = policy.find_memory_victim(1); + assert!(victims.is_empty()); + } + + #[test] + fn lru_reinsert_updates_position() { + let policy = LruPolicy::new(); + + for i in 0..3 { + policy.notify_insert(&entry(i), CachedBatchType::MemoryArrow); + } + + // Re-insert entry 0 → should move to back + policy.notify_insert(&entry(0), CachedBatchType::MemoryLiquid); + + // Evict → entry 1 (oldest now) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(1)]); + + // Evict → entry 2 + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(2)]); + + // Evict → entry 0 (re-inserted last) + let victims = policy.find_memory_victim(1); + assert_eq!(victims, vec![entry(0)]); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/three_queue.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/three_queue.rs new file mode 100644 index 0000000000000..2be4e2559a04c --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/cache/three_queue.rs @@ -0,0 +1,267 @@ +use std::{collections::HashMap, ptr::NonNull}; + +use crate::{ + cache::{CachePolicy, EntryID, cached_batch::CachedBatchType}, + sync::Mutex, +}; + +use super::doubly_linked_list::{DoublyLinkedList, DoublyLinkedNode, drop_boxed_node}; + +#[derive(Clone, Copy, Debug, PartialEq, Eq)] +enum QueueKind { + Arrow, + Liquid, +} + +#[derive(Debug)] +struct QueueNode { + entry_id: EntryID, + queue: QueueKind, +} + +type NodePtr = NonNull>; + +#[derive(Default, Debug)] +struct LiquidQueueInternalState { + map: HashMap, + arrow: DoublyLinkedList, + liquid: DoublyLinkedList, +} + +impl LiquidQueueInternalState { + unsafe fn list_mut(&mut self, queue: QueueKind) -> &mut DoublyLinkedList { + match queue { + QueueKind::Arrow => &mut self.arrow, + QueueKind::Liquid => &mut self.liquid, + } + } + + unsafe fn push_back(&mut self, queue: QueueKind, mut node_ptr: NodePtr) { + unsafe { + node_ptr.as_mut().data.queue = queue; + self.list_mut(queue).push_back(node_ptr); + } + } + + unsafe fn detach(&mut self, node_ptr: NodePtr) { + unsafe { + let queue = node_ptr.as_ref().data.queue; + self.list_mut(queue).unlink(node_ptr); + } + } + + fn upsert_into_queue(&mut self, entry_id: EntryID, target: QueueKind) { + if let Some(node_ptr) = self.map.get(&entry_id).copied() { + unsafe { + self.detach(node_ptr); + self.push_back(target, node_ptr); + } + return; + } + + let node = DoublyLinkedNode::new(QueueNode { + entry_id, + queue: target, + }); + let node_ptr = NonNull::from(Box::leak(node)); + + self.map.insert(entry_id, node_ptr); + unsafe { + self.push_back(target, node_ptr); + } + } + + fn pop_front(&mut self, queue: QueueKind) -> Option { + let list = match queue { + QueueKind::Arrow => &mut self.arrow, + QueueKind::Liquid => &mut self.liquid, + }; + + let head_ptr = list.head()?; + let entry_id = unsafe { head_ptr.as_ref().data.entry_id }; + let node_ptr = self + .map + .remove(&entry_id) + .expect("list head must exist in map"); + unsafe { + list.unlink(node_ptr); + drop_boxed_node(node_ptr); + } + Some(entry_id) + } + + fn remove(&mut self, entry_id: &EntryID) -> Option { + let node_ptr = self.map.remove(entry_id)?; + let removed = unsafe { node_ptr.as_ref().data.entry_id }; + unsafe { + self.detach(node_ptr); + drop_boxed_node(node_ptr); + } + Some(removed) + } +} + +impl Drop for LiquidQueueInternalState { + fn drop(&mut self) { + let nodes: Vec<_> = self.map.drain().map(|(_, ptr)| ptr).collect(); + for node_ptr in nodes { + unsafe { + match node_ptr.as_ref().data.queue { + QueueKind::Arrow => self.arrow.unlink(node_ptr), + QueueKind::Liquid => self.liquid.unlink(node_ptr), + } + drop_boxed_node(node_ptr); + } + } + + unsafe { + self.arrow.drop_all(); + self.liquid.drop_all(); + } + } +} + +/// Cache policy that keeps independent FIFO queues per batch type. +#[derive(Debug, Default)] +pub struct LiquidPolicy { + inner: Mutex, +} + +impl LiquidPolicy { + /// Create a new [`LiquidPolicy`]. + pub fn new() -> Self { + Self { + inner: Mutex::new(LiquidQueueInternalState::default()), + } + } +} + +// SAFETY: Access to raw pointers is protected by the internal `Mutex`. +unsafe impl Send for LiquidPolicy {} +unsafe impl Sync for LiquidPolicy {} + +impl CachePolicy for LiquidPolicy { + fn notify_insert(&self, entry_id: &EntryID, batch_type: CachedBatchType) { + let mut inner = self.inner.lock().unwrap(); + let target = match batch_type { + CachedBatchType::MemoryArrow => QueueKind::Arrow, + CachedBatchType::MemoryLiquid => QueueKind::Liquid, + }; + + inner.upsert_into_queue(*entry_id, target); + } + + fn find_memory_victim(&self, cnt: usize) -> Vec { + if cnt == 0 { + return vec![]; + } + + let mut inner = self.inner.lock().unwrap(); + let mut victims = Vec::with_capacity(cnt); + + while victims.len() < cnt { + if let Some(entry) = inner.pop_front(QueueKind::Arrow) { + victims.push(entry); + continue; + } + + if let Some(entry) = inner.pop_front(QueueKind::Liquid) { + victims.push(entry); + continue; + } + + break; + } + + victims + } + + fn notify_access(&self, _entry_id: &EntryID, _batch_type: CachedBatchType) {} + + fn notify_remove(&self, entry_id: &EntryID) { + let mut inner = self.inner.lock().unwrap(); + inner.remove(entry_id); + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::utils::EntryID; + + fn entry(id: usize) -> EntryID { + id.into() + } + + #[test] + fn test_fifo_within_each_queue() { + let policy = LiquidPolicy::new(); + + let arrow_a = entry(1); + let arrow_b = entry(2); + let liquid_a = entry(3); + let liquid_b = entry(4); + + policy.notify_insert(&arrow_a, CachedBatchType::MemoryArrow); + policy.notify_insert(&arrow_b, CachedBatchType::MemoryArrow); + policy.notify_insert(&liquid_a, CachedBatchType::MemoryLiquid); + policy.notify_insert(&liquid_b, CachedBatchType::MemoryLiquid); + + assert_eq!(policy.find_memory_victim(1), vec![arrow_a]); + assert_eq!(policy.find_memory_victim(2), vec![arrow_b, liquid_a]); + assert_eq!(policy.find_memory_victim(1), vec![liquid_b]); + } + + #[test] + fn test_queue_priority_order() { + let policy = LiquidPolicy::new(); + + let arrow_entry = entry(1); + let liquid_entry = entry(2); + + policy.notify_insert(&liquid_entry, CachedBatchType::MemoryLiquid); + policy.notify_insert(&arrow_entry, CachedBatchType::MemoryArrow); + + // Request more victims than available to ensure we only get what exists. + let victims = policy.find_memory_victim(5); + assert_eq!(victims, vec![arrow_entry, liquid_entry]); + } + + #[test] + fn test_zero_victim_request_returns_empty() { + let policy = LiquidPolicy::new(); + + policy.notify_insert(&entry(1), CachedBatchType::MemoryArrow); + assert!(policy.find_memory_victim(0).is_empty()); + } + + #[test] + fn test_reinsert_moves_entry_to_back_of_queue() { + let policy = LiquidPolicy::new(); + + let first = entry(1); + let second = entry(2); + + policy.notify_insert(&first, CachedBatchType::MemoryArrow); + policy.notify_insert(&second, CachedBatchType::MemoryArrow); + + // Reinserting should refresh the entry as the newest arrow batch. + policy.notify_insert(&first, CachedBatchType::MemoryArrow); + + assert_eq!(policy.find_memory_victim(1), vec![second]); + assert_eq!(policy.find_memory_victim(1), vec![first]); + } + + #[test] + fn test_reinsert_handles_cross_queue_move() { + let policy = LiquidPolicy::new(); + + let entry_id = entry(42); + + policy.notify_insert(&entry_id, CachedBatchType::MemoryArrow); + policy.notify_insert(&entry_id, CachedBatchType::MemoryLiquid); + + let victims = policy.find_memory_victim(2); + assert_eq!(victims, vec![entry_id]); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/mod.rs new file mode 100644 index 0000000000000..fd5fae6a955c0 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/mod.rs @@ -0,0 +1,7 @@ +//! Policy modules for cache eviction and squeezing. + +pub mod cache; +pub mod squeeze; + +pub use cache::*; +pub use squeeze::*; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/squeeze.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/squeeze.rs new file mode 100644 index 0000000000000..c5d43152c4e43 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/policies/squeeze.rs @@ -0,0 +1,106 @@ +//! Squeeze policies for liquid cache. + +use crate::cache::{cached_batch::CacheEntry, transcode_liquid_inner}; + +/// What to do when we need to squeeze an entry? +#[derive(Debug, Clone)] +pub enum SqueezeOutcome { + /// Replace the cache entry with a smaller in-memory representation. + Replace(CacheEntry), + /// Remove the entry entirely. + Remove, +} + +/// Policy that chooses the next representation for an entry under memory pressure. +pub trait SqueezePolicy: std::fmt::Debug + Send + Sync { + /// Squeeze the entry. + fn squeeze(&self, entry: &CacheEntry) -> SqueezeOutcome; +} + +/// Evict the entry from memory. +#[derive(Debug, Default, Clone)] +pub struct Evict; + +impl SqueezePolicy for Evict { + fn squeeze(&self, _entry: &CacheEntry) -> SqueezeOutcome { + SqueezeOutcome::Remove + } +} + +/// Transcode Arrow entries to liquid memory; evict liquid entries. +#[derive(Debug, Default, Clone)] +pub struct TranscodeEvict; + +impl SqueezePolicy for TranscodeEvict { + fn squeeze(&self, entry: &CacheEntry) -> SqueezeOutcome { + match entry { + CacheEntry::MemoryArrow(array) => match transcode_liquid_inner(array) { + Ok(liquid_array) => { + SqueezeOutcome::Replace(CacheEntry::memory_liquid(liquid_array)) + } + Err(_) => SqueezeOutcome::Remove, + }, + CacheEntry::MemoryLiquid(_) => SqueezeOutcome::Remove, + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::cached_batch::CacheEntry; + use arrow::array::{ArrayRef, BooleanArray, Int32Array}; + use std::sync::Arc; + + fn int_array(n: i32) -> ArrayRef { + Arc::new(Int32Array::from_iter_values(0..n)) + } + + #[test] + fn test_evict_policy_always_removes() { + let policy = Evict; + + let arrow_entry = CacheEntry::memory_arrow(int_array(8)); + assert!(matches!( + policy.squeeze(&arrow_entry), + SqueezeOutcome::Remove + )); + + let arr = int_array(8); + let liquid = transcode_liquid_inner(&arr).unwrap(); + let liquid_entry = CacheEntry::memory_liquid(liquid); + assert!(matches!( + policy.squeeze(&liquid_entry), + SqueezeOutcome::Remove + )); + } + + #[test] + fn test_transcode_evict_policy() { + let policy = TranscodeEvict; + + // MemoryArrow -> MemoryLiquid + let arr = int_array(8); + let outcome = policy.squeeze(&CacheEntry::memory_arrow(arr.clone())); + match outcome { + SqueezeOutcome::Replace(CacheEntry::MemoryLiquid(liq)) => { + assert_eq!(liq.to_arrow_array().as_ref(), arr.as_ref()); + } + other => panic!("unexpected: {other:?}"), + } + + // MemoryLiquid -> Remove + let liquid = transcode_liquid_inner(&arr).unwrap(); + let outcome = policy.squeeze(&CacheEntry::memory_liquid(liquid)); + assert!(matches!(outcome, SqueezeOutcome::Remove)); + } + + #[test] + fn transcode_evict_untranscodable_removes() { + let policy = TranscodeEvict; + // Boolean arrays are not supported by the transcoder. + let arr: ArrayRef = Arc::new(BooleanArray::from(vec![true, false, true])); + let outcome = policy.squeeze(&CacheEntry::memory_arrow(arr)); + assert!(matches!(outcome, SqueezeOutcome::Remove)); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/transcode.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/transcode.rs new file mode 100644 index 0000000000000..284cafa31036f --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/transcode.rs @@ -0,0 +1,201 @@ +use std::sync::Arc; + +use arrow::array::types::*; +use arrow::array::{ArrayRef, AsArray}; +use arrow_schema::{DataType, TimeUnit}; + +use crate::liquid_array::{ + LiquidArrayRef, LiquidDecimalArray, LiquidFloatArray, LiquidPrimitiveArray, +}; + +/// This method is used to transcode an arrow array into a liquid array. +/// +/// Returns the transcoded liquid array if successful, otherwise returns the original arrow array. +pub fn transcode_liquid_inner(array: &ArrayRef) -> Result { + let data_type = array.data_type(); + if data_type.is_primitive() { + // For primitive types, perform the transcoding. + let liquid_array: LiquidArrayRef = match data_type { + DataType::Int8 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Int16 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Int32 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Int64 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::UInt8 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::UInt16 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::UInt32 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::UInt64 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Date32 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Date64 => Arc::new(LiquidPrimitiveArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Timestamp(TimeUnit::Second, None) => Arc::new(LiquidPrimitiveArray::< + TimestampSecondType, + >::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Timestamp(TimeUnit::Millisecond, None) => Arc::new(LiquidPrimitiveArray::< + TimestampMillisecondType, + >::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Timestamp(TimeUnit::Microsecond, None) => Arc::new(LiquidPrimitiveArray::< + TimestampMicrosecondType, + >::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Timestamp(TimeUnit::Nanosecond, None) => Arc::new(LiquidPrimitiveArray::< + TimestampNanosecondType, + >::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Timestamp(_, Some(_)) => { + log::warn!("unsupported timestamp type with timezone {data_type:?}"); + return Err(array); + } + DataType::Float32 => Arc::new(LiquidFloatArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Float64 => Arc::new(LiquidFloatArray::::from_arrow_array( + array.as_primitive::().clone(), + )), + DataType::Decimal128(_, _) => { + let decimals = array.as_primitive::(); + if LiquidDecimalArray::fits_u64(decimals) { + return Ok(Arc::new(LiquidDecimalArray::from_decimal_array(decimals))); + } + log::debug!("decimal128 does not fit u64, not transcoding"); + return Err(array); + } + DataType::Decimal256(_, _) => { + let decimals = array.as_primitive::(); + if LiquidDecimalArray::fits_u64(decimals) { + return Ok(Arc::new(LiquidDecimalArray::from_decimal_array(decimals))); + } + log::debug!("decimal256 does not fit u64, not transcoding"); + return Err(array); + } + _ => { + // For unsupported primitive types, leave the value unchanged. + log::warn!("unsupported primitive type {data_type:?}"); + return Err(array); + } + }; + return Ok(liquid_array); + } + + log::debug!("unsupported data type {:?}", array.data_type()); + Err(array) +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::array::{ + ArrayRef, BooleanArray, Float32Array, Float64Array, Int32Array, Int64Array, + TimestampMicrosecondArray, + }; + + const TEST_ARRAY_SIZE: usize = 8192; + + fn assert_transcode(original: &ArrayRef, transcoded: &LiquidArrayRef) { + assert!( + transcoded.get_array_memory_size() < original.get_array_memory_size(), + "transcoded size: {}, original size: {}", + transcoded.get_array_memory_size(), + original.get_array_memory_size() + ); + let back_to_arrow = transcoded.to_arrow_array(); + assert_eq!(original, &back_to_arrow); + } + + #[test] + fn test_transcode_int32() { + let array: ArrayRef = Arc::new(Int32Array::from_iter_values(0..TEST_ARRAY_SIZE as i32)); + let transcoded = transcode_liquid_inner(&array).unwrap(); + assert_transcode(&array, &transcoded); + } + + #[test] + fn test_transcode_int64() { + let array: ArrayRef = Arc::new(Int64Array::from_iter_values(0..TEST_ARRAY_SIZE as i64)); + let transcoded = transcode_liquid_inner(&array).unwrap(); + assert_transcode(&array, &transcoded); + } + + #[test] + fn test_transcode_float32() { + let array: ArrayRef = Arc::new(Float32Array::from_iter_values( + (0..TEST_ARRAY_SIZE).map(|i| i as f32), + )); + let transcoded = transcode_liquid_inner(&array).unwrap(); + assert_transcode(&array, &transcoded); + } + + #[test] + fn test_transcode_float64() { + let array: ArrayRef = Arc::new(Float64Array::from_iter_values( + (0..TEST_ARRAY_SIZE).map(|i| i as f64), + )); + + let transcoded = transcode_liquid_inner(&array).unwrap(); + assert_transcode(&array, &transcoded); + } + + #[test] + fn test_transcode_timestamp_microsecond() { + let array: ArrayRef = Arc::new(TimestampMicrosecondArray::from_iter_values( + (0..TEST_ARRAY_SIZE).map(|i| (i as i64) * 1_000), + )); + + let transcoded = transcode_liquid_inner(&array).unwrap(); + assert_transcode(&array, &transcoded); + } + + #[test] + fn test_transcode_decimal128() { + use arrow::array::Decimal128Builder; + let mut builder = Decimal128Builder::new(); + for i in 0..TEST_ARRAY_SIZE { + builder.append_value(i as i128 * 100); + } + let array: ArrayRef = Arc::new(builder.finish().with_precision_and_scale(20, 2).unwrap()); + + let transcoded = transcode_liquid_inner(&array).unwrap(); + let back_to_arrow = transcoded.to_arrow_array(); + assert_eq!(&array, &back_to_arrow); + } + + #[test] + fn test_transcode_unsupported_type() { + // Create a boolean array which is not supported by the transcoder + let values: Vec = (0..TEST_ARRAY_SIZE).map(|i| i.is_multiple_of(2)).collect(); + let array: ArrayRef = Arc::new(BooleanArray::from(values)); + + // Try to transcode and expect an error + let result = transcode_liquid_inner(&array); + + // Verify it returns Err with the original array + assert!(result.is_err()); + if let Err(original) = result { + assert_eq!(&array, original); + } + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/utils.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/utils.rs new file mode 100644 index 0000000000000..215b16ecc93d5 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/cache/utils.rs @@ -0,0 +1,80 @@ +#[cfg(test)] +use crate::cache::cached_batch::CacheEntry; +#[cfg(test)] +use crate::sync::Arc; +#[cfg(test)] +use arrow::array::ArrayRef; + +#[derive(Debug)] +pub struct CacheConfig { + batch_size: usize, + max_memory_bytes: usize, +} + +impl CacheConfig { + pub(super) fn new(batch_size: usize, max_memory_bytes: usize) -> Self { + Self { + batch_size, + max_memory_bytes, + } + } + + pub fn batch_size(&self) -> usize { + self.batch_size + } + + pub fn max_memory_bytes(&self) -> usize { + self.max_memory_bytes + } +} + +// Helper methods +#[cfg(test)] +pub(crate) fn create_test_array(size: usize) -> CacheEntry { + use arrow::array::Int64Array; + use std::sync::Arc; + + CacheEntry::memory_arrow(Arc::new(Int64Array::from_iter_values(0..size as i64))) +} + +// Helper methods +#[cfg(test)] +pub(crate) fn create_test_arrow_array(size: usize) -> ArrayRef { + use arrow::array::Int64Array; + Arc::new(Int64Array::from_iter_values(0..size as i64)) +} + +#[cfg(test)] +pub(crate) fn create_cache_store( + max_memory_bytes: usize, + policy: Box, +) -> Arc { + use crate::cache::{LiquidCacheBuilder, TranscodeEvict}; + + let batch_size = 128; + + let builder = LiquidCacheBuilder::new() + .with_batch_size(batch_size) + .with_max_memory_bytes(max_memory_bytes) + .with_squeeze_policy(Box::new(TranscodeEvict)) + .with_cache_policy(policy); + builder.build() +} + +/// EntryID is a unique identifier for a batch of rows, i.e., the cache key. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Ord, PartialOrd, serde::Serialize)] +pub struct EntryID { + val: usize, +} + +impl From for EntryID { + fn from(val: usize) -> Self { + Self { val } + } +} + +impl From for usize { + fn from(val: EntryID) -> Self { + val.val + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/lib.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/lib.rs new file mode 100644 index 0000000000000..a84cbcdc78af6 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/lib.rs @@ -0,0 +1,12 @@ +// SPDX-License-Identifier: Apache-2.0 +// Vendored in-memory subset of liquid-cache core. See ../../README.md for provenance. + +//! In-memory liquid cache: cache storage (index, budget, eviction policies, +//! transcode) plus the numeric LiquidArray encodings. + +pub mod cache; +pub mod liquid_array; +mod sync; +pub mod utils; + +pub use cache::cache_policies; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/decimal_array.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/decimal_array.rs new file mode 100644 index 0000000000000..10bb692c137cd --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/decimal_array.rs @@ -0,0 +1,207 @@ +use std::any::Any; +use std::mem::size_of; +use std::sync::Arc; + +use arrow::array::{Array, ArrayRef, PrimitiveArray}; +use arrow::buffer::ScalarBuffer; +use arrow::datatypes::{Decimal128Type, Decimal256Type, DecimalType, UInt64Type, i256}; +use arrow_schema::DataType; +use num_traits::ToPrimitive; + +use super::{LiquidArray, LiquidDataType}; +use crate::liquid_array::raw::BitPackedArray; +use crate::utils::get_bit_width; + +#[derive(Debug, Clone, Copy)] +struct DecimalMeta { + precision: u8, + scale: i8, + is_256: bool, +} + +impl DecimalMeta { + fn from_data_type(data_type: &DataType) -> Self { + match data_type { + DataType::Decimal128(precision, scale) => Self { + precision: *precision, + scale: *scale, + is_256: false, + }, + DataType::Decimal256(precision, scale) => Self { + precision: *precision, + scale: *scale, + is_256: true, + }, + _ => panic!("unsupported decimal data type: {data_type:?}"), + } + } + + fn data_type(&self) -> DataType { + if self.is_256 { + DataType::Decimal256(self.precision, self.scale) + } else { + DataType::Decimal128(self.precision, self.scale) + } + } +} + +/// Liquid decimal array stored as a compressed u64 primitive. +#[derive(Debug)] +pub struct LiquidDecimalArray { + meta: DecimalMeta, + bit_packed: BitPackedArray, + reference_value: u64, +} + +impl LiquidDecimalArray { + pub(crate) fn fits_u64(array: &PrimitiveArray) -> bool + where + T::Native: ToPrimitive, + { + array.iter().flatten().all(|v| v.to_u64().is_some()) + } + + pub(crate) fn from_decimal_array(array: &PrimitiveArray) -> Self + where + T::Native: ToPrimitive, + { + debug_assert!(Self::fits_u64(array)); + let meta = DecimalMeta::from_data_type(array.data_type()); + if array.null_count() == array.len() { + return Self { + meta, + bit_packed: BitPackedArray::new_null_array(array.len()), + reference_value: 0, + }; + } + + let nulls = array.nulls().cloned(); + let mut min = u64::MAX; + let mut max = 0u64; + let values: Vec = array + .iter() + .map(|v| match v { + Some(v) => { + let value = v.to_u64().expect("decimal fits u64"); + if value < min { + min = value; + } + if value > max { + max = value; + } + value + } + None => 0, + }) + .collect(); + + let bit_width = get_bit_width(max - min); + let offsets = ScalarBuffer::from_iter(values.iter().map(|v| v.saturating_sub(min))); + let unsigned_array = PrimitiveArray::::new(offsets, nulls); + let bit_packed = BitPackedArray::from_primitive(unsigned_array, bit_width); + + Self { + meta, + bit_packed, + reference_value: min, + } + } + + fn to_u64_array(&self) -> PrimitiveArray { + let unsigned_array = self.bit_packed.to_primitive(); + let (_data_type, values, _nulls) = unsigned_array.into_parts(); + let nulls = self.bit_packed.nulls(); + let values = if self.reference_value != 0 { + let reference_value = self.reference_value; + ScalarBuffer::from_iter(values.iter().map(|v| v.wrapping_add(reference_value))) + } else { + values + }; + PrimitiveArray::::new(values, nulls.cloned()) + } +} + +impl LiquidArray for LiquidDecimalArray { + fn as_any(&self) -> &dyn Any { + self + } + + fn get_array_memory_size(&self) -> usize { + self.bit_packed.get_array_memory_size() + size_of::() + size_of::() + } + + fn len(&self) -> usize { + self.bit_packed.len() + } + + fn to_arrow_array(&self) -> ArrayRef { + let u64_array = self.to_u64_array(); + let (_data_type, values, nulls) = u64_array.into_parts(); + let data_type = self.meta.data_type(); + if self.meta.is_256 { + let values_i256 = + ScalarBuffer::from_iter(values.iter().map(|v| i256::from_i128(*v as i128))); + let array = PrimitiveArray::::new(values_i256, nulls); + Arc::new(array.with_data_type(data_type)) + } else { + let values_i128 = ScalarBuffer::from_iter(values.iter().map(|v| *v as i128)); + let array = PrimitiveArray::::new(values_i128, nulls); + Arc::new(array.with_data_type(data_type)) + } + } + + fn original_arrow_data_type(&self) -> DataType { + self.meta.data_type() + } + + fn data_type(&self) -> LiquidDataType { + LiquidDataType::Decimal + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::LiquidExpr; + use arrow::array::{BooleanArray, Decimal128Builder}; + use arrow::buffer::BooleanBuffer; + use datafusion_common::ScalarValue; + use datafusion_expr_common::operator::Operator as DFOperator; + use datafusion_physical_expr::PhysicalExpr; + use datafusion_physical_expr::expressions::{BinaryExpr, Column, Literal}; + use std::sync::Arc; + + #[test] + fn decimal_u64_roundtrip() { + let mut builder = Decimal128Builder::new(); + builder.append_value(100_i128); + builder.append_null(); + builder.append_value(250_i128); + let original = builder.finish().with_precision_and_scale(10, 2).unwrap(); + + let liquid = LiquidDecimalArray::from_decimal_array(&original); + let arrow = liquid.to_arrow_array(); + assert_eq!(arrow.as_ref(), &original); + } + + #[test] + fn decimal_predicate_eval() { + let mut builder = Decimal128Builder::new(); + builder.append_value(100_i128); + builder.append_value(200_i128); + builder.append_null(); + builder.append_value(300_i128); + let original = builder.finish().with_precision_and_scale(10, 2).unwrap(); + + let liquid = LiquidDecimalArray::from_decimal_array(&original); + + let mask = BooleanBuffer::new_set(original.len()); + let lit = Arc::new(Literal::new(ScalarValue::Decimal128(Some(150_i128), 10, 2))); + let col = Arc::new(Column::new("col", 0)); + let expr: Arc = Arc::new(BinaryExpr::new(col, DFOperator::GtEq, lit)); + + let got = liquid.try_eval_predicate(&LiquidExpr::new_unchecked(expr), &mask); + let expected = BooleanArray::from(vec![Some(false), Some(true), None, Some(true)]); + assert_eq!(got, expected); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/float_array.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/float_array.rs new file mode 100644 index 0000000000000..932ca04685d05 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/float_array.rs @@ -0,0 +1,590 @@ +/// +/// Acknowledgement: +/// The ALP compression implemented in this file is based on the Rust implementation available at https://github.com/spiraldb/alp +/// +use std::{any::Any, fmt::Debug, ops::Mul, sync::Arc}; + +use arrow::{ + array::{Array, ArrayRef, ArrowNativeTypeOp, ArrowPrimitiveType, BooleanArray, PrimitiveArray}, + buffer::{BooleanBuffer, ScalarBuffer}, + datatypes::{ + ArrowNativeType, Float32Type, Float64Type, Int32Type, Int64Type, UInt32Type, UInt64Type, + }, +}; +use arrow_schema::DataType; +use fastlanes::BitPacking; +use num_traits::{AsPrimitive, Float, FromPrimitive}; + +use super::LiquidDataType; +use crate::cache::LiquidExpr; +use crate::liquid_array::LiquidArray; +use crate::liquid_array::eval_predicate_on_array; +use crate::liquid_array::raw::BitPackedArray; +use crate::utils::get_bit_width; + +mod private { + use arrow::{ + array::ArrowNumericType, + datatypes::{Float32Type, Float64Type}, + }; + use num_traits::AsPrimitive; + + pub trait Sealed: ArrowNumericType + AsPrimitive> {} + + impl Sealed for Float32Type {} + impl Sealed for Float64Type {} +} + +const NUM_SAMPLES: usize = 1024; // we use FASTLANES to encode array, the sample size needs to be at least 1024 to get a good estimate of the best exponents + +/// LiquidFloatType is a sealed trait that represents all the float types supported by Liquid. +/// Implementors are Float32Type and Float64Type. TODO(): What about Float16Type, decimal types? +pub trait LiquidFloatType: + ArrowPrimitiveType< + Native: AsPrimitive< + ::Native // Native must be convertible to the Native type of Self::UnSignedType + > + + AsPrimitive<::Native> + + FromPrimitive + + AsPrimitive<::Native> + + Mul<::Native> + + Float // required for decode_single and encode_single_unchecked + > + + private::Sealed + + Debug +{ + type UnsignedIntType: + ArrowPrimitiveType< + Native: BitPacking + + AsPrimitive<::Native> + + AsPrimitive<::Native> + + AsPrimitive + > + + Debug; + type SignedIntType: + ArrowPrimitiveType< + Native: AsPrimitive<::Native> + + AsPrimitive<::Native> + + Ord + + From + > + + Debug + Sync + Send; + + const SWEET: ::Native; + const MAX_EXPONENT: u8; + const FRACTIONAL_BITS: u8; + const F10: &'static [::Native]; + const IF10: &'static [::Native]; + + #[inline] + fn fast_round(val: ::Native) -> ::Native { + ((val + Self::SWEET) - Self::SWEET).as_() + } + + #[inline] + fn encode_single_unchecked(val: &::Native, exp: &Exponents) -> ::Native { + Self::fast_round(*val * Self::F10[exp.e as usize] * Self::IF10[exp.f as usize]) + } + + #[inline] + fn decode_single(val: &::Native, exp: &Exponents) -> ::Native { + let decoded_float: ::Native = (*val).as_(); + decoded_float * Self::F10[exp.f as usize] * Self::IF10[exp.e as usize] + } + +} + +impl LiquidFloatType for Float32Type { + type UnsignedIntType = UInt32Type; + type SignedIntType = Int32Type; + const FRACTIONAL_BITS: u8 = 23; + const MAX_EXPONENT: u8 = 10; + const SWEET: ::Native = (1 << Self::FRACTIONAL_BITS) + as ::Native + + (1 << (Self::FRACTIONAL_BITS - 1)) as ::Native; + const F10: &'static [::Native] = &[ + 1.0, + 10.0, + 100.0, + 1000.0, + 10000.0, + 100000.0, + 1000000.0, + 10000000.0, + 100000000.0, + 1000000000.0, + 10000000000.0, // 10^10 + ]; + const IF10: &'static [::Native] = &[ + 1.0, + 0.1, + 0.01, + 0.001, + 0.0001, + 0.00001, + 0.000001, + 0.0000001, + 0.00000001, + 0.000000001, + 0.0000000001, // 10^-10 + ]; +} + +impl LiquidFloatType for Float64Type { + type UnsignedIntType = UInt64Type; + type SignedIntType = Int64Type; + const FRACTIONAL_BITS: u8 = 52; + const MAX_EXPONENT: u8 = 18; + const SWEET: ::Native = (1u64 << Self::FRACTIONAL_BITS) + as ::Native + + (1u64 << (Self::FRACTIONAL_BITS - 1)) as ::Native; + const F10: &'static [::Native] = &[ + 1.0, + 10.0, + 100.0, + 1000.0, + 10000.0, + 100000.0, + 1000000.0, + 10000000.0, + 100000000.0, + 1000000000.0, + 10000000000.0, + 100000000000.0, + 1000000000000.0, + 10000000000000.0, + 100000000000000.0, + 1000000000000000.0, + 10000000000000000.0, + 100000000000000000.0, + 1000000000000000000.0, + 10000000000000000000.0, + 100000000000000000000.0, + 1000000000000000000000.0, + 10000000000000000000000.0, + 100000000000000000000000.0, // 10^23 + ]; + + const IF10: &'static [::Native] = &[ + 1.0, + 0.1, + 0.01, + 0.001, + 0.0001, + 0.00001, + 0.000001, + 0.0000001, + 0.00000001, + 0.000000001, + 0.0000000001, + 0.00000000001, + 0.000000000001, + 0.0000000000001, + 0.00000000000001, + 0.000000000000001, + 0.0000000000000001, + 0.00000000000000001, + 0.000000000000000001, + 0.0000000000000000001, + 0.00000000000000000001, + 0.000000000000000000001, + 0.0000000000000000000001, + 0.00000000000000000000001, // 10^-23 + ]; +} + +/// Liquid's single-precision floating point array +pub type LiquidFloat32Array = LiquidFloatArray; +/// Liquid's double precision floating point array +pub type LiquidFloat64Array = LiquidFloatArray; + +/// An array that stores floats in ALP +#[derive(Debug, Clone)] +pub struct LiquidFloatArray { + exponent: Exponents, + bit_packed: BitPackedArray, + patch_indices: Vec, + patch_values: Vec, + reference_value: ::Native, +} + +impl LiquidFloatArray +where + T: LiquidFloatType, +{ + /// Check if the Liquid float array is empty. + pub fn is_empty(&self) -> bool { + self.len() == 0 + } + + /// Get the length of the Liquid float array. + pub fn len(&self) -> usize { + self.bit_packed.len() + } + + /// Get the memory size of the Liquid primitive array. + pub fn get_array_memory_size(&self) -> usize { + self.bit_packed.get_array_memory_size() + + size_of::() + + self.patch_indices.capacity() * size_of::() + + self.patch_values.capacity() * size_of::() + + size_of::<::Native>() + } + + /// Create a Liquid primitive array from an Arrow float array. + pub fn from_arrow_array(arrow_array: arrow::array::PrimitiveArray) -> LiquidFloatArray { + let best_exponents = get_best_exponents::(&arrow_array); + encode_arrow_array(&arrow_array, &best_exponents) + } +} + +impl LiquidArray for LiquidFloatArray +where + T: LiquidFloatType, +{ + fn as_any(&self) -> &dyn Any { + self + } + + fn get_array_memory_size(&self) -> usize { + self.get_array_memory_size() + } + + fn len(&self) -> usize { + self.len() + } + + #[inline] + fn to_arrow_array(&self) -> ArrayRef { + let unsigned_array = self.bit_packed.to_primitive(); + let (_data_type, values, _nulls) = unsigned_array.into_parts(); + let nulls = self.bit_packed.nulls(); + // TODO(): Check if we should align vectors to cache line boundary + let mut decoded_values = Vec::from_iter(values.iter().map(|v| { + let mut val: ::Native = (*v).as_(); + val = val.add_wrapping(self.reference_value); + T::decode_single(&val, &self.exponent) + })); + + // Patch values + if !self.patch_indices.is_empty() { + for i in 0..self.patch_indices.len() { + decoded_values[self.patch_indices[i].as_usize()] = self.patch_values[i]; + } + } + + Arc::new(PrimitiveArray::::new( + ScalarBuffer::<::Native>::from(decoded_values), + nulls.cloned(), + )) + } + + fn original_arrow_data_type(&self) -> DataType { + T::DATA_TYPE.clone() + } + + fn data_type(&self) -> LiquidDataType { + LiquidDataType::Float + } + + fn is_empty(&self) -> bool { + self.len() == 0 + } + + fn to_best_arrow_array(&self) -> ArrayRef { + self.to_arrow_array() + } + + fn try_eval_predicate(&self, predicate: &LiquidExpr, filter: &BooleanBuffer) -> BooleanArray { + let filtered = self.filter(filter); + eval_predicate_on_array(filtered, predicate) + } +} + +#[derive(Debug, Copy, Clone, PartialEq, Eq)] +pub struct Exponents { + pub(crate) e: u8, + pub(crate) f: u8, +} + +fn encode_arrow_array( + arrow_array: &PrimitiveArray, + exp: &Exponents, // fill_value: &mut Option<::Native> +) -> LiquidFloatArray { + let mut patch_indices: Vec = Vec::new(); + let mut patch_values: Vec = Vec::new(); + let mut patch_count: usize = 0; + let mut fill_value: Option<::Native> = None; + let values = arrow_array.values(); + let nulls = arrow_array.nulls(); + + // All values are null + if arrow_array.null_count() == arrow_array.len() { + return LiquidFloatArray:: { + bit_packed: BitPackedArray::new_null_array(arrow_array.len()), + exponent: Exponents { e: 0, f: 0 }, + patch_indices: Vec::new(), + patch_values: Vec::new(), + reference_value: ::Native::ZERO, + }; + } + + let mut encoded_values = Vec::with_capacity(arrow_array.len()); + for v in values.iter() { + let encoded = T::encode_single_unchecked(&v.as_(), exp); + let decoded = T::decode_single(&encoded, exp); + // TODO(): Check if this is a bitwise comparison + let neq = !decoded.eq(&v.as_()) as usize; + patch_count += neq; + encoded_values.push(encoded); + } + + if patch_count > 0 { + patch_indices.resize_with(patch_count + 1, Default::default); + patch_values.resize_with(patch_count + 1, Default::default); + let mut patch_index: usize = 0; + + for i in 0..encoded_values.len() { + let decoded = T::decode_single(&encoded_values[i], exp); + patch_indices[patch_index] = i.as_(); + patch_values[patch_index] = arrow_array.value(i).as_(); + patch_index += !(decoded.eq(&values[i].as_())) as usize; + } + assert_eq!(patch_index, patch_count); + unsafe { + patch_indices.set_len(patch_count); + patch_values.set_len(patch_count); + } + } + + // find the first successfully encoded value (i.e., not patched) + // this is our fill value for missing values + if patch_count > 0 && patch_count < arrow_array.len() { + for i in 0..encoded_values.len() { + if i >= patch_indices.len() || patch_indices[i] != i as u64 { + fill_value = encoded_values.get(i).copied(); + break; + } + } + } + + // replace the patched values in the encoded array with the fill value + // for better downstream compression + if let Some(fill_value) = fill_value { + // handle the edge case where the first N >= 1 chunks are all patches + for patch_idx in &patch_indices { + encoded_values[*patch_idx as usize] = fill_value; + } + } + + let min = *encoded_values + .iter() + .min() + .expect("`encoded_values` shouldn't be all nulls"); + let max = *encoded_values + .iter() + .max() + .expect("`encoded_values` shouldn't be all nulls"); + let sub: ::Native = max.sub_wrapping(min).as_(); + + let unsigned_encoded_values = encoded_values + .iter() + .map(|v| { + let k: ::Native = v.sub_wrapping(min).as_(); + k + }) + .collect::>(); + let encoded_output = PrimitiveArray::<::UnsignedIntType>::new( + ScalarBuffer::from(unsigned_encoded_values), + nulls.cloned(), + ); + + let bit_width = get_bit_width(sub.as_()); + let bit_packed_array = BitPackedArray::from_primitive(encoded_output, bit_width); + + LiquidFloatArray:: { + bit_packed: bit_packed_array, + exponent: *exp, + patch_indices, + patch_values, + reference_value: min, + } +} + +fn get_best_exponents(arrow_array: &PrimitiveArray) -> Exponents { + let mut best_exponents = Exponents { e: 0, f: 0 }; + let mut min_encoded_size: usize = usize::MAX; + + let sample_arrow_array: Option> = + (arrow_array.len() > NUM_SAMPLES).then(|| { + arrow_array + .iter() + .step_by(arrow_array.len() / NUM_SAMPLES) + .filter(|s| s.is_some()) + .collect() + }); + + for e in 0..T::MAX_EXPONENT { + for f in 0..e { + let exp = Exponents { e, f }; + let liquid_array = + encode_arrow_array(sample_arrow_array.as_ref().unwrap_or(arrow_array), &exp); + if liquid_array.get_array_memory_size() < min_encoded_size { + best_exponents = exp; + min_encoded_size = liquid_array.get_array_memory_size(); + } + } + } + best_exponents +} + +#[cfg(test)] +mod tests { + use super::*; + + macro_rules! test_roundtrip { + ($test_name: ident, $type:ty, $values: expr) => { + #[test] + fn $test_name() { + let original: Vec::Native>> = $values; + let array = PrimitiveArray::<$type>::from(original.clone()); + + // Convert to Liquid array and back + let liquid_array = LiquidFloatArray::<$type>::from_arrow_array(array.clone()); + let result_array = liquid_array.to_arrow_array(); + + assert_eq!(result_array.as_ref(), &array); + } + }; + } + + // Test cases for Float32 + test_roundtrip!( + test_float32_roundtrip_basic, + Float32Type, + vec![Some(-1.0), Some(1.0), Some(0.0)] + ); + + test_roundtrip!( + test_float32_roundtrip_with_nones, + Float32Type, + vec![Some(-1.0), Some(1.0), Some(0.0), None] + ); + + test_roundtrip!( + test_float32_roundtrip_all_nones, + Float32Type, + vec![None, None, None, None] + ); + + test_roundtrip!(test_float32_roundtrip_empty, Float32Type, vec![]); + + // Test cases for Float64 + test_roundtrip!( + test_float64_roundtrip_basic, + Float64Type, + vec![Some(-1.0), Some(1.0), Some(0.0)] + ); + + test_roundtrip!( + test_float64_roundtrip_with_nones, + Float64Type, + vec![Some(-1.0), Some(1.0), Some(0.0), None] + ); + + test_roundtrip!( + test_float64_roundtrip_all_nones, + Float64Type, + vec![None, None, None, None] + ); + + test_roundtrip!(test_float64_roundtrip_empty, Float64Type, vec![]); + + // Tests with ilters + #[test] + fn test_filter_basic() { + // Create original array with some values + let original = vec![Some(1.0), Some(2.1), Some(3.2), None, Some(5.5)]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidFloatArray::::from_arrow_array(array); + + // Create selection mask: keep indices 0, 2, and 4 + let selection = BooleanBuffer::from(vec![true, false, true, false, true]); + + // Apply filter + let result_array = liquid_array.filter(&selection); + + // Expected result after filtering + let expected = PrimitiveArray::::from(vec![Some(1.0), Some(3.2), Some(5.5)]); + + assert_eq!(result_array.as_ref(), &expected); + } + + #[test] + fn test_original_arrow_data_type_returns_float32() { + let array = PrimitiveArray::::from(vec![Some(1.0), Some(2.5)]); + let liquid = LiquidFloatArray::::from_arrow_array(array); + assert_eq!(liquid.original_arrow_data_type(), DataType::Float32); + } + + #[test] + fn test_filter_all_nulls() { + // Create array with all nulls + let original = vec![None, None, None, None]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidFloatArray::::from_arrow_array(array); + + // Keep first and last elements + let selection = BooleanBuffer::from(vec![true, false, false, true]); + + let result_array = liquid_array.filter(&selection); + + let expected = PrimitiveArray::::from(vec![None, None]); + + assert_eq!(result_array.as_ref(), &expected); + } + + #[test] + fn test_filter_empty_result() { + let original = vec![Some(1.0), Some(2.1), Some(3.3)]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidFloatArray::::from_arrow_array(array); + + // Filter out all elements + let selection = BooleanBuffer::from(vec![false, false, false]); + + let result_array = liquid_array.filter(&selection); + + assert_eq!(result_array.len(), 0); + } + + #[test] + fn test_compression_f32_f64() { + fn run_compression_test( + type_name: &str, + data_fn: impl Fn(usize) -> T::Native, + ) { + let original: Vec = (0..2000).map(data_fn).collect(); + let array = PrimitiveArray::::from_iter_values(original); + let uncompressed_size = array.get_array_memory_size(); + + let liquid_array = LiquidFloatArray::::from_arrow_array(array); + let compressed_size = liquid_array.get_array_memory_size(); + + println!( + "Type: {type_name}, uncompressed_size: {uncompressed_size}, compressed_size: {compressed_size}" + ); + // Assert that compression actually reduced the size + assert!( + compressed_size < uncompressed_size, + "{type_name} compression failed to reduce size" + ); + } + + // Run for f32 + run_compression_test::("f32", |i| i as f32); + + // Run for f64 + run_compression_test::("f64", |i| i as f64); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/linear_integer_array.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/linear_integer_array.rs new file mode 100644 index 0000000000000..695e8be37018b --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/linear_integer_array.rs @@ -0,0 +1,655 @@ +use std::any::Any; +use std::fmt::Debug; +use std::marker::PhantomData; +use std::sync::Arc; + +use super::PrimitiveKind; +use super::{LiquidArray, LiquidDataType, LiquidPrimitiveType}; +use crate::cache::LiquidExpr; +use crate::liquid_array::LiquidPrimitiveArray; +use crate::liquid_array::eval_predicate_on_array; +use arrow::array::{ + Array, ArrayRef, ArrowPrimitiveType, BooleanArray, PrimitiveArray, + cast::AsArray, + types::{ + Date32Type, Date64Type, Int8Type, Int16Type, Int32Type, Int64Type, UInt8Type, UInt16Type, + UInt32Type, UInt64Type, + }, +}; +use arrow::buffer::{BooleanBuffer, ScalarBuffer}; +use arrow::compute::kernels::filter; +use arrow_schema::DataType; +use num_traits::{AsPrimitive, Bounded, FromPrimitive}; + +/// A linear-model based integer array, **only use it when you know the array is monotonic** and **you don't care about encoding speed!**. +/// +/// Under the hood, it uses a linear model to predict the values and store the residuals: +/// value\[i\] = intercept + round(slope * i) + residual\[i\] +/// +/// Where `intercept` and `slope` are computed using a L-infinity linear fit, **this is time-consuming!**. +/// +/// This array is only recommended if you know the array follows a linear model, e.g., kinetic values, offsets, etc. +/// +/// Examples of not recommended use cases: random values like ids, categorical values, etc. +#[derive(Debug)] +pub struct LiquidLinearArray +where + T::Native: AsPrimitive + FromPrimitive + Bounded, +{ + // Signed residuals, bit-packed as a Liquid primitive array of i64. + residuals: LiquidPrimitiveArray, + // Intercept term stored as f64 for simpler math/IO. + intercept: f64, + // Slope term of the linear model. + slope: f64, + // Keep the logical type parameter. + _phantom: PhantomData, +} + +/// Backward-compatible alias for i32. +pub type LiquidLinearI32Array = LiquidLinearArray; +/// Linear-model array for `i8`. +pub type LiquidLinearI8Array = LiquidLinearArray; +/// Linear-model array for `i16`. +pub type LiquidLinearI16Array = LiquidLinearArray; +/// Linear-model array for `i64`. +pub type LiquidLinearI64Array = LiquidLinearArray; +/// Linear-model array for `u8`. +pub type LiquidLinearU8Array = LiquidLinearArray; +/// Linear-model array for `u16`. +pub type LiquidLinearU16Array = LiquidLinearArray; +/// Linear-model array for `u32`. +pub type LiquidLinearU32Array = LiquidLinearArray; +/// Linear-model array for `u64`. +pub type LiquidLinearU64Array = LiquidLinearArray; +/// Linear-model array for `Date32` (days since epoch). +pub type LiquidLinearDate32Array = LiquidLinearArray; +/// Linear-model array for `Date64` (ms since epoch). +pub type LiquidLinearDate64Array = LiquidLinearArray; + +impl LiquidLinearArray +where + T: LiquidPrimitiveType, + T::Native: AsPrimitive + FromPrimitive + Bounded, +{ + /// Build from an Arrow `PrimitiveArray` by training a linear model + /// using a fast L-infinity fit (Option 3) and storing residuals. + pub fn from_arrow_array(arrow_array: PrimitiveArray) -> Self { + let len = arrow_array.len(); + + // All nulls + if arrow_array.null_count() == len { + // All nulls + let res = PrimitiveArray::::new_null(len); + return Self { + residuals: LiquidPrimitiveArray::::from_arrow_array(res), + intercept: 0.0, // arbitrary, unused since all nulls + slope: 0.0, + _phantom: PhantomData, + }; + } + + // Prepare compact non-null buffers for fast fitting (avoid iterator Option cost). + let (nn_values, nn_indices) = collect_non_null_f64_and_indices::(&arrow_array); + + // Option 3 parameters: L-infinity (Chebyshev) regression. + let (mut intercept, mut slope) = fit_linf(&nn_values, &nn_indices); + + // Compute residuals in one unified loop; also track ranges for fallback decision. + let mut residuals: Vec = Vec::with_capacity(len); + let is_unsigned = ::IS_UNSIGNED; + let vals = arrow_array.values(); + let nulls_opt = arrow_array.nulls(); + + // Original value range + let mut orig_min_u64 = u64::MAX; + let mut orig_max_u64 = 0u64; + let mut orig_min_i64 = i64::MAX; + let mut orig_max_i64 = i64::MIN; + // Residual range + let mut res_min = i64::MAX; + let mut res_max = i64::MIN; + + if is_unsigned { + let max_u64: u64 = ::MAX_U64; + for i in 0..len { + let valid = nulls_opt.as_ref().is_none_or(|n| n.is_valid(i)); + if valid { + type U = + <::UnSignedType as ArrowPrimitiveType>::Native; + let v_u: U = vals[i].as_(); + let v_u64: u64 = v_u.as_(); + if v_u64 < orig_min_u64 { + orig_min_u64 = v_u64; + } + if v_u64 > orig_max_u64 { + orig_max_u64 = v_u64; + } + let pr = slope * (i as f64) + intercept; + let p = predict_u64_saturated(pr, max_u64); + let (pos, mag) = if v_u64 >= p { + (true, v_u64 - p) + } else { + (false, p - v_u64) + }; + let m = (mag & (i64::MAX as u64)) as i64; + let r = if pos { m } else { -m }; + if r < res_min { + res_min = r; + } + if r > res_max { + res_max = r; + } + residuals.push(r); + } else { + residuals.push(0); + } + } + } else { + let (min_i64, max_i64): (i64, i64) = + (::MIN_I64, ::MAX_I64); + for i in 0..len { + let valid = nulls_opt.as_ref().is_none_or(|n| n.is_valid(i)); + if valid { + let v_i64: i64 = vals[i].as_(); + if v_i64 < orig_min_i64 { + orig_min_i64 = v_i64; + } + if v_i64 > orig_max_i64 { + orig_max_i64 = v_i64; + } + let pr = slope * (i as f64) + intercept; + let p = predict_i64_saturated(pr, min_i64, max_i64); + let r = v_i64 - p; + if r < res_min { + res_min = r; + } + if r > res_max { + res_max = r; + } + residuals.push(r); + } else { + residuals.push(0); + } + } + } + + // Fallback: ensure residual range is strictly smaller than original range + let res_width: u128 = (res_max as i128 - res_min as i128) as u128; + let orig_width: u128 = if is_unsigned { + (orig_max_u64 as u128).saturating_sub(orig_min_u64 as u128) + } else { + (orig_max_i64 as i128 - orig_min_i64 as i128) as u128 + }; + if res_width >= orig_width { + // Rebuild residuals with zero model + intercept = 0.0; + slope = 0.0; + residuals.clear(); + if is_unsigned { + for i in 0..len { + let valid = nulls_opt.as_ref().is_none_or(|n| n.is_valid(i)); + if valid { + type U = <::UnSignedType as ArrowPrimitiveType>::Native; + let v_u: U = vals[i].as_(); + let v_u64: u64 = v_u.as_(); + let r = (v_u64 & (i64::MAX as u64)) as i64; + residuals.push(r); + } else { + residuals.push(0); + } + } + } else { + for i in 0..len { + let valid = nulls_opt.as_ref().is_none_or(|n| n.is_valid(i)); + if valid { + let v_i64: i64 = vals[i].as_(); + residuals.push(v_i64); + } else { + residuals.push(0); + } + } + } + } + let residuals_buf: ScalarBuffer = ScalarBuffer::from(residuals); + let nulls = arrow_array.nulls().cloned(); + let res_prim = PrimitiveArray::::new(residuals_buf, nulls); + let residuals = LiquidPrimitiveArray::::from_arrow_array(res_prim); + + Self { + residuals, + intercept, + slope, + _phantom: PhantomData, + } + } + + fn len(&self) -> usize { + self.residuals.len() + } +} + +impl LiquidArray for LiquidLinearArray +where + T: LiquidPrimitiveType, + T::Native: AsPrimitive + FromPrimitive + Bounded, +{ + fn as_any(&self) -> &dyn Any { + self + } + + fn original_arrow_data_type(&self) -> DataType { + T::DATA_TYPE.clone() + } + + fn get_array_memory_size(&self) -> usize { + self.residuals.get_array_memory_size() + + std::mem::size_of::() // intercept + + std::mem::size_of::() // slope + } + + fn len(&self) -> usize { + self.len() + } + + fn to_arrow_array(&self) -> ArrayRef { + let arr = self.residuals.to_arrow_array(); + let (_dt, residuals, nulls) = arr.as_primitive::().clone().into_parts(); + + // Reconstruct final values: predicted(i) +/- |residual_i| + let mut final_values = Vec::::with_capacity(self.len()); + let is_unsigned = ::IS_UNSIGNED; + if is_unsigned { + let max_u64: u64 = ::MAX_U64; + for (i, &e) in residuals.iter().enumerate() { + let pr = self.slope * (i as f64) + self.intercept; + let p = predict_u64_saturated(pr, max_u64); + let mag = e.unsigned_abs(); + let sum = if e >= 0 { + p.saturating_add(mag) + } else { + p.saturating_sub(mag) + }; + final_values.push(T::Native::from_u64(sum).unwrap()); + } + } else { + let (min_i64, max_i64): (i64, i64) = + (::MIN_I64, ::MAX_I64); + for (i, &e) in residuals.iter().enumerate() { + let pr = self.slope * (i as f64) + self.intercept; + let p = predict_i64_saturated(pr, min_i64, max_i64); + let sum = p.saturating_add(e); + final_values.push(T::Native::from_i64(sum).unwrap()); + } + } + + let values_buf: ScalarBuffer = ScalarBuffer::from(final_values); + Arc::new(PrimitiveArray::::new(values_buf, nulls)) + } + + fn filter(&self, selection: &BooleanBuffer) -> ArrayRef { + let arr = self.to_arrow_array(); + let selection = BooleanArray::new(selection.clone(), None); + filter::filter(&arr, &selection).unwrap() + } + + fn try_eval_predicate(&self, predicate: &LiquidExpr, filter: &BooleanBuffer) -> BooleanArray { + let arr = self.filter(filter); + eval_predicate_on_array(arr, predicate) + } + + fn data_type(&self) -> LiquidDataType { + LiquidDataType::LinearInteger + } +} + +#[inline] +fn predict_u64_saturated(pred: f64, max_u64: u64) -> u64 { + if !pred.is_finite() || pred <= 0.0 { + 0 + } else if pred >= max_u64 as f64 { + max_u64 + } else { + pred.round() as u64 + } +} + +#[inline] +fn predict_i64_saturated(pred: f64, min_i64: i64, max_i64: i64) -> i64 { + if !pred.is_finite() { + 0 + } else if pred <= min_i64 as f64 { + min_i64 + } else if pred >= max_i64 as f64 { + max_i64 + } else { + pred.round() as i64 + } +} + +/// L-infinity linear fit for y\[i\] ≈ intercept + slope * i (before rounding), +/// minimizing the maximum absolute error over all non-null points. +/// +/// Approach: minimize R(m) = max_i (y_i - m i) - min_i (y_i - m i), which is +/// convex in m. Given m, the best intercept is b = (max_i s_i + min_i s_i)/2 +/// where s_i = y_i - m i. We find m by a few rounds of bisection using the +/// subgradient sign derived from the argmax/argmin indices. O(n) per iteration. +fn fit_linf(values: &[f64], idxs: &[u32]) -> (f64, f64) { + let n = values.len(); + assert_eq!(values.len(), idxs.len()); + if n == 0 { + return (0.0, 0.0); + } + if n == 1 { + return (values[0], 0.0); + } + + let mut slope_min = f64::INFINITY; + let mut slope_max = f64::NEG_INFINITY; + for k in 1..n { + let di = (idxs[k] - idxs[k - 1]) as f64; + if di > 0.0 { + let dv = values[k] - values[k - 1]; + let s = dv / di; + if s < slope_min { + slope_min = s; + } + if s > slope_max { + slope_max = s; + } + } + } + if !slope_min.is_finite() || !slope_max.is_finite() { + slope_min = 0.0; + slope_max = 0.0; + } + + let mut lo = slope_min.min(slope_max); + let mut hi = slope_min.max(slope_max); + if (hi - lo).abs() < 1e-12 { + let pad = if hi.abs() < 1.0 { 1.0 } else { hi.abs() * 1e-6 }; + lo -= pad; + hi += pad; + } + + #[inline] + fn range_stats(values: &[f64], idxs: &[u32], m: f64) -> (f64, u32, f64, u32) { + let mut min_s = f64::INFINITY; + let mut max_s = f64::NEG_INFINITY; + let mut i_min = 0u32; + let mut i_max = 0u32; + for k in 0..values.len() { + let i = idxs[k] as f64; + let s = values[k] - m * i; + if s < min_s { + min_s = s; + i_min = idxs[k]; + } + if s > max_s { + max_s = s; + i_max = idxs[k]; + } + } + (min_s, i_min, max_s, i_max) + } + + const MAX_ITERS: usize = 8; + for _ in 0..MAX_ITERS { + let m = 0.5 * (lo + hi); + let (_min_s, i_min, _max_s, i_max) = range_stats(values, idxs, m); + let g = (i_min as i64) - (i_max as i64); + if g > 0 { + hi = m; + } else if g < 0 { + lo = m; + } else { + lo = m; + hi = m; + break; + } + if (hi - lo).abs() < 1e-12 { + break; + } + } + + let m = 0.5 * (lo + hi); + let (min_s, _i_min, max_s, _i_max) = range_stats(values, idxs, m); + let b = 0.5 * (max_s + min_s); + (b, m) +} + +#[inline] +fn collect_non_null_f64_and_indices(arr: &PrimitiveArray) -> (Vec, Vec) +where + T: LiquidPrimitiveType, + T::Native: AsPrimitive, +{ + let nn = arr.len() - arr.null_count(); + let mut values = Vec::with_capacity(nn); + let mut idxs = Vec::with_capacity(nn); + let vals = arr.values(); + if arr.null_count() == 0 { + for (i, v) in vals.iter().enumerate() { + values.push(v.as_()); + idxs.push(i as u32); + } + } else { + let nulls = arr.nulls().unwrap(); + for (i, v) in vals.iter().enumerate() { + if nulls.is_valid(i) { + values.push(v.as_()); + idxs.push(i as u32); + } + } + } + (values, idxs) +} + +#[cfg(test)] +mod tests { + use super::*; + + fn roundtrip_eq(values: Vec>) { + let arr = PrimitiveArray::::from(values.clone()); + let linear = LiquidLinearI32Array::from_arrow_array(arr.clone()); + let decoded = linear.to_arrow_array(); + assert_eq!(decoded.as_ref(), &arr); + } + + macro_rules! roundtrip_eq_t { + ($T:ty, $values:expr) => {{ + let arr = PrimitiveArray::<$T>::from(($values).clone()); + let linear = LiquidLinearArray::<$T>::from_arrow_array(arr.clone()); + let decoded = linear.to_arrow_array(); + assert_eq!(decoded.as_ref(), &arr); + }}; + } + + #[test] + fn test_roundtrip_basic() { + // Non-monotonic values to ensure we don't rely on simple increasing sequences + roundtrip_eq(vec![ + Some(10), + Some(15), + Some(14), + Some(20), + Some(18), + Some(25), + Some(24), + ]); + } + + #[test] + fn test_roundtrip_with_nulls() { + roundtrip_eq(vec![Some(10), None, Some(30), None, Some(50), Some(70)]); + } + + #[test] + fn test_all_nulls() { + roundtrip_eq(vec![None, None, None, None]); + } + + #[test] + fn test_single_value() { + roundtrip_eq(vec![Some(42)]); + } + + #[test] + fn test_empty() { + roundtrip_eq(vec![]); + } + + #[test] + fn test_negative_values() { + roundtrip_eq(vec![ + Some(-100), + Some(-50), + Some(0), + Some(50), + Some(25), + None, + Some(-25), + ]); + } + + #[test] + fn test_filter_basic() { + let original: Vec> = vec![Some(1), Some(2), Some(3), None, Some(5), Some(8)]; + let arr = PrimitiveArray::::from(original.clone()); + let linear = LiquidLinearI32Array::from_arrow_array(arr); + let selection = BooleanBuffer::from(vec![true, false, true, false, true, false]); + let result = linear.filter(&selection); + let expected = PrimitiveArray::::from(vec![Some(1), Some(3), Some(5)]); + assert_eq!(result.as_ref(), &expected); + } + + #[test] + fn test_original_arrow_data_type_returns_int32() { + let arr = PrimitiveArray::::from(vec![Some(1), Some(2)]); + let linear = LiquidLinearI32Array::from_arrow_array(arr); + assert_eq!(linear.original_arrow_data_type(), DataType::Int32); + } + + #[test] + fn test_roundtrip_i8() { + roundtrip_eq_t!(Int8Type, vec![Some(-10), Some(0), Some(10), None, Some(20)]); + } + + #[test] + fn test_roundtrip_i16() { + roundtrip_eq_t!( + Int16Type, + vec![Some(-1000), Some(0), Some(1000), None, Some(2000)] + ); + } + + #[test] + fn test_roundtrip_i64() { + roundtrip_eq_t!( + Int64Type, + vec![ + Some(-10_000_000_000), + Some(0), + Some(10_000_000_000), + None, + Some(20_000_000_000), + ] + ); + } + + #[test] + fn test_roundtrip_u8() { + roundtrip_eq_t!( + UInt8Type, + vec![Some(0), Some(10), Some(200), None, Some(255)] + ); + } + + #[test] + fn test_roundtrip_u16() { + roundtrip_eq_t!( + UInt16Type, + vec![Some(0), Some(1000), Some(60000), None, Some(500)] + ); + } + + #[test] + fn test_roundtrip_u32() { + roundtrip_eq_t!( + UInt32Type, + vec![ + Some(0), + Some(1_000_000), + Some(3_000_000_000), + None, + Some(123_456_789), + ] + ); + } + + #[test] + fn test_roundtrip_u64() { + roundtrip_eq_t!( + UInt64Type, + vec![ + Some(0), + Some(10_000_000_000), + Some(9_000_000_000_000_000_000u64), + None, + Some(42), + ] + ); + } + + #[test] + fn test_roundtrip_date32() { + roundtrip_eq_t!( + Date32Type, + vec![Some(-365), Some(0), Some(365), None, Some(18262)] + ); + } + + #[test] + fn test_roundtrip_date64() { + roundtrip_eq_t!( + Date64Type, + vec![ + Some(-86_400_000), + Some(0), + Some(86_400_000), + None, + Some(1_000_000_000_000), + ] + ); + } + + #[test] + fn test_compression() { + let original = (0..1_000_000).step_by(100).collect::>(); + + let original = PrimitiveArray::::from_iter_values(original); + let arrow_size = original.get_array_memory_size(); + + let liquid_linear = LiquidLinearI32Array::from_arrow_array(original.clone()); + let liquid_linear_size = liquid_linear.get_array_memory_size(); + + let liquid_primitive = + LiquidPrimitiveArray::::from_arrow_array(original.clone()); + let liquid_primitive_size = liquid_primitive.get_array_memory_size(); + + println!( + "arrow_size: {arrow_size}, liquid_linear_size: {liquid_linear_size}, liquid_primitive_size: {liquid_primitive_size}", + ); + + assert!(liquid_linear_size < arrow_size); + assert!(liquid_primitive_size < arrow_size); + assert!(liquid_linear_size < liquid_primitive_size); + + let original: ArrayRef = Arc::new(original); + assert_eq!(original.as_ref(), liquid_linear.to_arrow_array().as_ref()); + assert_eq!( + original.as_ref(), + liquid_primitive.to_arrow_array().as_ref() + ); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/mod.rs new file mode 100644 index 0000000000000..d6b3d607b1982 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/mod.rs @@ -0,0 +1,173 @@ +//! LiquidArray is the core data structure of LiquidCache. +//! You should not use this module directly. +//! Instead, use `liquid_cache_datafusion_server` or `liquid_cache_datafusion_client` to interact with LiquidCache. +mod decimal_array; +mod float_array; +mod linear_integer_array; +mod primitive_array; +pub mod raw; + +use std::{any::Any, sync::Arc}; + +use arrow::{ + array::{ArrayRef, BooleanArray, cast::AsArray}, + buffer::BooleanBuffer, + record_batch::RecordBatch, +}; +use arrow_schema::{DataType, Field, Schema}; +pub use decimal_array::LiquidDecimalArray; +pub use float_array::{LiquidFloat32Array, LiquidFloat64Array, LiquidFloatArray}; +pub use linear_integer_array::{ + LiquidLinearArray, LiquidLinearDate32Array, LiquidLinearDate64Array, LiquidLinearI8Array, + LiquidLinearI16Array, LiquidLinearI32Array, LiquidLinearI64Array, LiquidLinearU8Array, + LiquidLinearU16Array, LiquidLinearU32Array, LiquidLinearU64Array, +}; +pub use primitive_array::{ + LiquidDate32Array, LiquidDate64Array, LiquidI8Array, LiquidI16Array, LiquidI32Array, + LiquidI64Array, LiquidPrimitiveArray, LiquidPrimitiveDeltaArray, LiquidPrimitiveType, + LiquidU8Array, LiquidU16Array, LiquidU32Array, LiquidU64Array, +}; + +use crate::cache::LiquidExpr; + +/// Liquid data type is only logical type +#[derive(Debug, Clone, Copy)] +#[repr(u16)] +pub enum LiquidDataType { + /// An integer. + Integer = 1, + /// A float. + Float = 2, + /// A linear-model based integer (signed residuals + model params). + LinearInteger = 5, + /// A decimal encoded as a primitive u64 array. + Decimal = 6, +} + +/// A Liquid array. +pub trait LiquidArray: std::fmt::Debug + Send + Sync { + /// Get the underlying any type. + fn as_any(&self) -> &dyn Any; + + /// Get the memory size of the Liquid array. + fn get_array_memory_size(&self) -> usize; + + /// Get the length of the Liquid array. + fn len(&self) -> usize; + + /// Check if the Liquid array is empty. + fn is_empty(&self) -> bool { + self.len() == 0 + } + + /// Convert the Liquid array to an Arrow array. + fn to_arrow_array(&self) -> ArrayRef; + + /// Convert the Liquid array to an Arrow array. + /// Except that it will pick the best encoding for the arrow array. + /// Meaning that it may not obey the data type of the original arrow array. + fn to_best_arrow_array(&self) -> ArrayRef { + self.to_arrow_array() + } + + /// Get the logical data type of the Liquid array. + fn data_type(&self) -> LiquidDataType; + + /// Get the original arrow data type of the Liquid array. + fn original_arrow_data_type(&self) -> DataType; + + /// Filter the Liquid array with a boolean array and return an **arrow array**. + fn filter(&self, selection: &BooleanBuffer) -> ArrayRef { + let arrow_array = self.to_arrow_array(); + let selection = BooleanArray::new(selection.clone(), None); + arrow::compute::kernels::filter::filter(&arrow_array, &selection).unwrap() + } + + /// Evaluate a predicate on the Liquid array with a filter. + /// + /// Note that the filter is a boolean buffer, not a boolean array, i.e., filter can't be nullable. + /// The returned boolean mask is nullable if the the original array is nullable. + fn try_eval_predicate(&self, predicate: &LiquidExpr, filter: &BooleanBuffer) -> BooleanArray { + let filtered = self.filter(filter); + eval_predicate_on_array(filtered, predicate) + } +} + +/// A reference to a Liquid array. +pub type LiquidArrayRef = Arc; + +pub(crate) fn eval_predicate_on_array(array: ArrayRef, predicate: &LiquidExpr) -> BooleanArray { + let schema = Arc::new(Schema::new(vec![Field::new( + "liquid_predicate_col", + array.data_type().clone(), + true, + )])); + let record_batch = RecordBatch::try_new(schema, vec![array]).expect("predicate input batch"); + let result = predicate + .physical_expr() + .evaluate(&record_batch) + .expect("validated LiquidExpr must evaluate"); + let boolean_array = result + .into_array(record_batch.num_rows()) + .expect("predicate output must be an array"); + boolean_array.as_boolean().clone() +} + +/// Compile-time info about primitive kind (signed vs unsigned) and bounds. +/// Implemented for all Liquid-supported primitive integer and date types. +pub trait PrimitiveKind { + /// Whether the logical type is unsigned (true for u8/u16/u32/u64). + const IS_UNSIGNED: bool; + /// Maximum representable value as u64 for unsigned types (unused for signed). + const MAX_U64: u64; + /// Minimum representable value as i64 for signed/date types (unused for unsigned). + const MIN_I64: i64; + /// Maximum representable value as i64 for signed/date types (unused for unsigned). + const MAX_I64: i64; +} + +macro_rules! impl_unsigned_kind { + ($t:ty, $max:expr) => { + impl PrimitiveKind for $t { + const IS_UNSIGNED: bool = true; + const MAX_U64: u64 = $max as u64; + const MIN_I64: i64 = 0; // unused + const MAX_I64: i64 = 0; // unused + } + }; +} + +macro_rules! impl_signed_kind { + ($t:ty, $min:expr, $max:expr) => { + impl PrimitiveKind for $t { + const IS_UNSIGNED: bool = false; + const MAX_U64: u64 = 0; // unused + const MIN_I64: i64 = $min as i64; + const MAX_I64: i64 = $max as i64; + } + }; +} + +use arrow::datatypes::{ + Date32Type, Date64Type, Int8Type, Int16Type, Int32Type, Int64Type, TimestampMicrosecondType, + TimestampMillisecondType, TimestampNanosecondType, TimestampSecondType, UInt8Type, UInt16Type, + UInt32Type, UInt64Type, +}; + +impl_unsigned_kind!(UInt8Type, u8::MAX); +impl_unsigned_kind!(UInt16Type, u16::MAX); +impl_unsigned_kind!(UInt32Type, u32::MAX); +impl_unsigned_kind!(UInt64Type, u64::MAX); + +impl_signed_kind!(Int8Type, i8::MIN, i8::MAX); +impl_signed_kind!(Int16Type, i16::MIN, i16::MAX); +impl_signed_kind!(Int32Type, i32::MIN, i32::MAX); +impl_signed_kind!(Int64Type, i64::MIN, i64::MAX); + +// Dates are logically signed in Arrow (Date32: i32 days, Date64: i64 ms) +impl_signed_kind!(Date32Type, i32::MIN, i32::MAX); +impl_signed_kind!(Date64Type, i64::MIN, i64::MAX); +impl_signed_kind!(TimestampSecondType, i64::MIN, i64::MAX); +impl_signed_kind!(TimestampMillisecondType, i64::MIN, i64::MAX); +impl_signed_kind!(TimestampMicrosecondType, i64::MIN, i64::MAX); +impl_signed_kind!(TimestampNanosecondType, i64::MIN, i64::MAX); diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/primitive_array.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/primitive_array.rs new file mode 100644 index 0000000000000..3eab53acb5f6a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/primitive_array.rs @@ -0,0 +1,706 @@ +use std::any::Any; +use std::fmt::{Debug, Display}; +use std::sync::Arc; + +use arrow::array::{ + ArrayRef, ArrowNativeTypeOp, ArrowPrimitiveType, BooleanArray, PrimitiveArray, + types::{ + Date32Type, Date64Type, Int8Type, Int16Type, Int32Type, Int64Type, + TimestampMicrosecondType, TimestampMillisecondType, TimestampNanosecondType, + TimestampSecondType, UInt8Type, UInt16Type, UInt32Type, UInt64Type, + }, +}; +use arrow::buffer::{BooleanBuffer, ScalarBuffer}; +use arrow_schema::DataType; +use fastlanes::BitPacking; +use num_traits::{AsPrimitive, FromPrimitive}; + +use super::LiquidDataType; +use crate::cache::LiquidExpr; +use crate::liquid_array::raw::BitPackedArray; +use crate::liquid_array::{LiquidArray, PrimitiveKind, eval_predicate_on_array}; +use crate::utils::get_bit_width; +use arrow::datatypes::ArrowNativeType; + +mod private { + pub trait Sealed {} +} + +/// LiquidPrimitiveType is a sealed trait that represents the primitive types supported by Liquid. +/// Implemented for all supported integer, date, and timestamp Arrow primitive types. +/// +/// I have to admit this trait is super complicated. +/// Luckily users never have to worry about it, they can just use the types that are already implemented. +/// We could have implemented this as a macro, but macro is ugly. +/// Type is spec, code is proof. +pub trait LiquidPrimitiveType: + ArrowPrimitiveType< + Native: AsPrimitive<::Native> + + AsPrimitive + + FromPrimitive + + Display, + > + Debug + + Send + + Sync + + private::Sealed + + PrimitiveKind +{ + /// The unsigned type that can be used to represent the signed type. + type UnSignedType: ArrowPrimitiveType + AsPrimitive + BitPacking> + + Debug; +} + +macro_rules! impl_has_unsigned_type { + ($($signed:ty => $unsigned:ty),*) => { + $( + impl private::Sealed for $signed {} + impl LiquidPrimitiveType for $signed { + type UnSignedType = $unsigned; + } + )* + } +} + +impl_has_unsigned_type! { + Int32Type => UInt32Type, + Int64Type => UInt64Type, + Int16Type => UInt16Type, + Int8Type => UInt8Type, + UInt32Type => UInt32Type, + UInt64Type => UInt64Type, + UInt16Type => UInt16Type, + UInt8Type => UInt8Type, + Date64Type => UInt64Type, + Date32Type => UInt32Type, + TimestampSecondType => UInt64Type, + TimestampMillisecondType => UInt64Type, + TimestampMicrosecondType => UInt64Type, + TimestampNanosecondType => UInt64Type +} + +/// Liquid's unsigned 8-bit integer array. +pub type LiquidU8Array = LiquidPrimitiveArray; +/// Liquid's unsigned 16-bit integer array. +pub type LiquidU16Array = LiquidPrimitiveArray; +/// Liquid's unsigned 32-bit integer array. +pub type LiquidU32Array = LiquidPrimitiveArray; +/// Liquid's unsigned 64-bit integer array. +pub type LiquidU64Array = LiquidPrimitiveArray; +/// Liquid's signed 8-bit integer array. +pub type LiquidI8Array = LiquidPrimitiveArray; +/// Liquid's signed 16-bit integer array. +pub type LiquidI16Array = LiquidPrimitiveArray; +/// Liquid's signed 32-bit integer array. +pub type LiquidI32Array = LiquidPrimitiveArray; +/// Liquid's signed 64-bit integer array. +pub type LiquidI64Array = LiquidPrimitiveArray; +/// Liquid's 32-bit date array. +pub type LiquidDate32Array = LiquidPrimitiveArray; +/// Liquid's 64-bit date array. +pub type LiquidDate64Array = LiquidPrimitiveArray; + +/// Liquid's primitive array +#[derive(Debug)] +pub struct LiquidPrimitiveArray { + bit_packed: BitPackedArray, + reference_value: T::Native, +} + +/// Liquid's primitive array which uses delta encoding for compression +#[derive(Debug, Clone)] +pub struct LiquidPrimitiveDeltaArray { + bit_packed: BitPackedArray, + reference_value: T::Native, +} + +impl LiquidPrimitiveArray +where + T: LiquidPrimitiveType, +{ + /// Get the memory size of the Liquid primitive array. + pub fn get_array_memory_size(&self) -> usize { + self.bit_packed.get_array_memory_size() + std::mem::size_of::() + } + + /// Get the length of the Liquid primitive array. + pub fn len(&self) -> usize { + self.bit_packed.len() + } + + /// Check if the Liquid primitive array is empty. + pub fn is_empty(&self) -> bool { + self.len() == 0 + } + + /// Create a Liquid primitive array from an Arrow primitive array. + pub fn from_arrow_array(arrow_array: PrimitiveArray) -> LiquidPrimitiveArray { + let min = match arrow::compute::kernels::aggregate::min(&arrow_array) { + Some(v) => v, + None => { + // entire array is null + return Self { + bit_packed: BitPackedArray::new_null_array(arrow_array.len()), + reference_value: T::Native::ZERO, + }; + } + }; + let max = arrow::compute::kernels::aggregate::max(&arrow_array).unwrap(); + + // be careful of overflow: + // Want: 127i8 - (-128i8) -> 255u64, + // but we get -1i8 + // (-1i8) as u8 as u64 -> 255u64 + let sub = max.sub_wrapping(min) as ::Native; + let sub: <::UnSignedType as ArrowPrimitiveType>::Native = + sub.as_(); + let bit_width = get_bit_width(sub.as_()); + + let (_data_type, values, nulls) = arrow_array.clone().into_parts(); + let values = if min != T::Native::ZERO { + ScalarBuffer::from_iter(values.iter().map(|v| { + let k: <::UnSignedType as ArrowPrimitiveType>::Native = + v.sub_wrapping(min).as_(); + k + })) + } else { + #[allow(clippy::missing_transmute_annotations)] + unsafe { + std::mem::transmute(values) + } + }; + + let unsigned_array = + PrimitiveArray::<::UnSignedType>::new(values, nulls); + + let bit_packed_array = BitPackedArray::from_primitive(unsigned_array, bit_width); + + Self { + bit_packed: bit_packed_array, + reference_value: min, + } + } +} + +impl LiquidPrimitiveDeltaArray +where + T: LiquidPrimitiveType, +{ + /// Get the memory size of the Liquid primitive delta array. + pub fn get_array_memory_size(&self) -> usize { + self.bit_packed.get_array_memory_size() + std::mem::size_of::() + } + + /// Get the length of the Liquid primitive delta array. + pub fn len(&self) -> usize { + self.bit_packed.len() + } + + /// Check if the Liquid primitive delta array is empty. + pub fn is_empty(&self) -> bool { + self.len() == 0 + } + + /// Create a Liquid primitive delta array from an Arrow primitive array. + pub fn from_arrow_array(arrow_array: PrimitiveArray) -> LiquidPrimitiveDeltaArray { + use arrow::array::Array; + + let len = arrow_array.len(); + // check if entire array is already null + if arrow_array.null_count() == len { + return Self { + bit_packed: BitPackedArray::new_null_array(len), + reference_value: T::Native::ZERO, + }; + } + + let (_dt, values, nulls) = arrow_array.clone().into_parts(); + let vals: Vec = values.to_vec(); + + type UnsignedNative = + <::UnSignedType as ArrowPrimitiveType>::Native; + let mut out: Vec> = Vec::with_capacity(len); + let mut max_value: UnsignedNative = UnsignedNative::::ZERO; + let mut anchor: T::Native = T::Native::ZERO; + + if let Some(_nb) = &nulls { + // Nulls present: write 0 for nulls; prev will the last prev non-null value + let nb = nulls.as_ref().unwrap(); + let mut have_prev = false; + let mut prev: T::Native = T::Native::ZERO; + + for (i, &cur) in vals.iter().enumerate() { + if !nb.is_valid(i) { + out.push(UnsignedNative::::ZERO); + continue; + } + if !have_prev { + anchor = cur; + prev = cur; + have_prev = true; + out.push(UnsignedNative::::ZERO); + continue; + } + let delta: T::Native = cur.sub_wrapping(prev); + // zig zag encoding + let delta_i64: i64 = delta.as_(); + let zigzag: u64 = ((delta_i64 << 1) ^ (delta_i64 >> 63)) as u64; + let delta_unsigned: UnsignedNative = + UnsignedNative::::usize_as(zigzag as usize); + if delta_unsigned > max_value { + max_value = delta_unsigned; + } + out.push(delta_unsigned); + prev = cur; + } + } else { + // No nulls: first value is anchor, remainder are deltas with their previous values + anchor = vals[0]; + let mut prev: T::Native = anchor; + out.push(UnsignedNative::::ZERO); // anchor will have a difference of 0 + for &cur in vals.iter().skip(1) { + let delta: T::Native = cur.sub_wrapping(prev); + // zig zag encoding + let delta_i64: i64 = delta.as_(); + let zigzag: u64 = ((delta_i64 << 1) ^ (delta_i64 >> 63)) as u64; + let delta_unsigned: UnsignedNative = + UnsignedNative::::usize_as(zigzag as usize); + if delta_unsigned > max_value { + max_value = delta_unsigned; + } + out.push(delta_unsigned); + prev = cur; + } + } + + let bit_width = get_bit_width(max_value.as_()); + let values = ScalarBuffer::from_iter(out); + let unsigned_array = + PrimitiveArray::<::UnSignedType>::new(values, nulls); + let bit_packed_array = BitPackedArray::from_primitive(unsigned_array, bit_width); + + Self { + bit_packed: bit_packed_array, + reference_value: anchor, + } + } +} + +impl LiquidArray for LiquidPrimitiveArray +where + T: LiquidPrimitiveType + super::PrimitiveKind, +{ + fn get_array_memory_size(&self) -> usize { + self.get_array_memory_size() + } + + fn len(&self) -> usize { + self.len() + } + + fn original_arrow_data_type(&self) -> DataType { + T::DATA_TYPE.clone() + } + + fn as_any(&self) -> &dyn Any { + self + } + + #[inline] + fn to_arrow_array(&self) -> ArrayRef { + let unsigned_array = self.bit_packed.to_primitive(); + let (_data_type, values, _nulls) = unsigned_array.into_parts(); + let nulls = self.bit_packed.nulls(); + let values = if self.reference_value != T::Native::ZERO { + let reference_v = self.reference_value.as_(); + ScalarBuffer::from_iter(values.iter().map(|v| { + let k: ::Native = (*v).add_wrapping(reference_v).as_(); + k + })) + } else { + #[allow(clippy::missing_transmute_annotations)] + unsafe { + std::mem::transmute(values) + } + }; + + Arc::new(PrimitiveArray::::new(values, nulls.cloned())) + } + + fn filter(&self, selection: &BooleanBuffer) -> ArrayRef { + let arrow_array = self.to_arrow_array(); + let selection = BooleanArray::new(selection.clone(), None); + arrow::compute::kernels::filter::filter(&arrow_array, &selection).unwrap() + } + + fn try_eval_predicate(&self, predicate: &LiquidExpr, filter: &BooleanBuffer) -> BooleanArray { + let filtered = self.filter(filter); + eval_predicate_on_array(filtered, predicate) + } + + fn data_type(&self) -> LiquidDataType { + LiquidDataType::Integer + } +} + +impl LiquidArray for LiquidPrimitiveDeltaArray +where + T: LiquidPrimitiveType + super::PrimitiveKind, +{ + fn get_array_memory_size(&self) -> usize { + self.get_array_memory_size() + } + + fn len(&self) -> usize { + self.len() + } + + fn original_arrow_data_type(&self) -> DataType { + T::DATA_TYPE.clone() + } + + fn as_any(&self) -> &dyn Any { + self + } + + #[inline] + fn to_arrow_array(&self) -> ArrayRef { + // Reconstruct original values from deltas + let unsigned_array = self.bit_packed.to_primitive(); + let (_data_type, delta_values, _nulls) = unsigned_array.into_parts(); + let nulls = self.bit_packed.nulls(); + + // Reconstruct original values by applying deltas + let mut reconstructed = Vec::with_capacity(delta_values.len()); + let mut current_value = self.reference_value; // anchor + + if let Some(nulls) = nulls { + let mut have_prev = false; + for (i, &delta_unsigned) in delta_values.iter().enumerate() { + if !nulls.is_valid(i) { + reconstructed.push(T::Native::ZERO); // Will be masked out by nulls + continue; + } + if !have_prev { + // First non-null value is the anchor + reconstructed.push(current_value); + have_prev = true; + } else { + // Apply delta to get next value + let zigzag: u64 = delta_unsigned.as_(); + let delta_i64 = (zigzag >> 1) as i64 ^ -((zigzag & 1) as i64); + let delta: T::Native = T::Native::from_i64(delta_i64).unwrap(); + current_value = current_value.add_wrapping(delta); + reconstructed.push(current_value); + } + } + } else { + // No nulls case + reconstructed.push(current_value); // First value is anchor + for &delta_unsigned in delta_values.iter().skip(1) { + let zigzag: u64 = delta_unsigned.as_(); + let delta_i64 = (zigzag >> 1) as i64 ^ -((zigzag & 1) as i64); + let delta: T::Native = T::Native::from_i64(delta_i64).unwrap(); + current_value = current_value.add_wrapping(delta); + reconstructed.push(current_value); + } + } + + let values = ScalarBuffer::from_iter(reconstructed); + Arc::new(PrimitiveArray::::new(values, nulls.cloned())) + } + + fn filter(&self, selection: &BooleanBuffer) -> ArrayRef { + let arrow_array = self.to_arrow_array(); + let selection = BooleanArray::new(selection.clone(), None); + arrow::compute::kernels::filter::filter(&arrow_array, &selection).unwrap() + } + + fn try_eval_predicate(&self, predicate: &LiquidExpr, filter: &BooleanBuffer) -> BooleanArray { + let filtered = self.filter(filter); + eval_predicate_on_array(filtered, predicate) + } + + fn data_type(&self) -> LiquidDataType { + LiquidDataType::Integer + } +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::array::Array; + + macro_rules! test_roundtrip { + ($test_name:ident, $type:ty, $values:expr) => { + #[test] + fn $test_name() { + // Create the original array + let original: Vec::Native>> = $values; + let array = PrimitiveArray::<$type>::from(original.clone()); + + // Convert to Liquid array and back + let liquid_array = LiquidPrimitiveArray::<$type>::from_arrow_array(array.clone()); + let result_array = liquid_array.to_arrow_array(); + + assert_eq!(result_array.as_ref(), &array); + } + }; + } + + // Test cases for Int8Type + test_roundtrip!( + test_int8_roundtrip_basic, + Int8Type, + vec![Some(1), Some(2), Some(3), None, Some(5)] + ); + test_roundtrip!( + test_int8_roundtrip_negative, + Int8Type, + vec![Some(-128), Some(-64), Some(0), Some(63), Some(127)] + ); + + // Test cases for Int16Type + test_roundtrip!( + test_int16_roundtrip_basic, + Int16Type, + vec![Some(1), Some(2), Some(3), None, Some(5)] + ); + test_roundtrip!( + test_int16_roundtrip_negative, + Int16Type, + vec![ + Some(-32768), + Some(-16384), + Some(0), + Some(16383), + Some(32767) + ] + ); + + // Test cases for Int32Type + test_roundtrip!( + test_int32_roundtrip_basic, + Int32Type, + vec![Some(1), Some(2), Some(3), None, Some(5)] + ); + test_roundtrip!( + test_int32_roundtrip_negative, + Int32Type, + vec![ + Some(-2147483648), + Some(-1073741824), + Some(0), + Some(1073741823), + Some(2147483647) + ] + ); + + // Test cases for Int64Type + test_roundtrip!( + test_int64_roundtrip_basic, + Int64Type, + vec![Some(1), Some(2), Some(3), None, Some(5)] + ); + test_roundtrip!( + test_int64_roundtrip_negative, + Int64Type, + vec![ + Some(-9223372036854775808), + Some(-4611686018427387904), + Some(0), + Some(4611686018427387903), + Some(9223372036854775807) + ] + ); + + // Test cases for unsigned types + test_roundtrip!( + test_uint8_roundtrip, + UInt8Type, + vec![Some(0), Some(128), Some(255), None, Some(64)] + ); + test_roundtrip!( + test_uint16_roundtrip, + UInt16Type, + vec![Some(0), Some(32768), Some(65535), None, Some(16384)] + ); + test_roundtrip!( + test_uint32_roundtrip, + UInt32Type, + vec![ + Some(0), + Some(2147483648), + Some(4294967295), + None, + Some(1073741824) + ] + ); + test_roundtrip!( + test_uint64_roundtrip, + UInt64Type, + vec![ + Some(0), + Some(9223372036854775808), + Some(18446744073709551615), + None, + Some(4611686018427387904) + ] + ); + + test_roundtrip!( + test_date32_roundtrip, + Date32Type, + vec![Some(-365), Some(0), Some(365), None, Some(18262)] + ); + + test_roundtrip!( + test_date64_roundtrip, + Date64Type, + vec![Some(-365), Some(0), Some(365), None, Some(18262)] + ); + + // Edge cases + #[test] + fn test_all_nulls() { + let original: Vec> = vec![None, None, None]; + let array = PrimitiveArray::::from(original.clone()); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array); + let result_array = liquid_array.to_arrow_array(); + + assert_eq!(result_array.len(), original.len()); + assert_eq!(result_array.null_count(), original.len()); + } + + #[test] + fn test_all_nulls_filter() { + let original: Vec> = vec![None, None, None]; + let array = PrimitiveArray::::from(original.clone()); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array); + let result_array = liquid_array.filter(&BooleanBuffer::from(vec![true, false, true])); + + assert_eq!(result_array.len(), 2); + assert_eq!(result_array.null_count(), 2); + } + + #[test] + fn test_zero_reference_value() { + let original: Vec> = vec![Some(0), Some(1), Some(2), None, Some(4)]; + let array = PrimitiveArray::::from(original.clone()); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array.clone()); + let result_array = liquid_array.to_arrow_array(); + + assert_eq!(liquid_array.reference_value, 0); + assert_eq!(result_array.as_ref(), &array); + } + + #[test] + fn test_single_value() { + let original: Vec> = vec![Some(42)]; + let array = PrimitiveArray::::from(original.clone()); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array.clone()); + let result_array = liquid_array.to_arrow_array(); + + assert_eq!(result_array.as_ref(), &array); + } + + #[test] + fn test_filter_basic() { + // Create original array with some values + let original = vec![Some(1), Some(2), Some(3), None, Some(5)]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array); + + // Create selection mask: keep indices 0, 2, and 4 + let selection = BooleanBuffer::from(vec![true, false, true, false, true]); + + // Apply filter + let result_array = liquid_array.filter(&selection); + + // Expected result after filtering + let expected = PrimitiveArray::::from(vec![Some(1), Some(3), Some(5)]); + + assert_eq!(result_array.as_ref(), &expected); + } + + #[test] + fn test_original_arrow_data_type_returns_int32() { + let array = PrimitiveArray::::from(vec![Some(1), Some(2)]); + let liquid = LiquidPrimitiveArray::::from_arrow_array(array); + assert_eq!(liquid.original_arrow_data_type(), DataType::Int32); + } + + #[test] + fn test_filter_all_nulls() { + // Create array with all nulls + let original = vec![None, None, None, None]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array); + + // Keep first and last elements + let selection = BooleanBuffer::from(vec![true, false, false, true]); + + let result_array = liquid_array.filter(&selection); + + let expected = PrimitiveArray::::from(vec![None, None]); + + assert_eq!(result_array.as_ref(), &expected); + } + + #[test] + fn test_filter_empty_result() { + let original = vec![Some(1), Some(2), Some(3)]; + let array = PrimitiveArray::::from(original); + let liquid_array = LiquidPrimitiveArray::::from_arrow_array(array); + + // Filter out all elements + let selection = BooleanBuffer::from(vec![false, false, false]); + + let result_array = liquid_array.filter(&selection); + + assert_eq!(result_array.len(), 0); + } + + #[test] + fn test_delta_encoding_basic_roundtrip() { + let original = vec![Some(1), Some(3), Some(6), Some(10), Some(15)]; + let array = PrimitiveArray::::from(original.clone()); + + let liquid_delta = LiquidPrimitiveDeltaArray::::from_arrow_array(array.clone()); + let result_array = liquid_delta.to_arrow_array(); + + assert_eq!(result_array.as_ref(), &array); + } + + #[test] + fn test_delta_encoding_with_nulls() { + let original = vec![Some(1), None, Some(4), Some(7), None, Some(12)]; + let array = PrimitiveArray::::from(original.clone()); + + let liquid_delta = LiquidPrimitiveDeltaArray::::from_arrow_array(array.clone()); + let result_array = liquid_delta.to_arrow_array(); + + assert_eq!(result_array.as_ref(), &array); + } + + #[test] + fn test_memory_comparison_sequential_data() { + // Sequential data: delta encoding performs better + let sequential_data: Vec> = (0..1000).map(Some).collect(); + let array = PrimitiveArray::::from(sequential_data); + + let liquid_regular = LiquidPrimitiveArray::::from_arrow_array(array.clone()); + let liquid_delta = LiquidPrimitiveDeltaArray::::from_arrow_array(array); + + let regular_size = liquid_regular.get_array_memory_size(); + let delta_size = liquid_delta.get_array_memory_size(); + + println!( + "Sequential data - Regular: {} bytes, Delta: {} bytes", + regular_size, delta_size + ); + assert!( + delta_size <= regular_size, + "Delta encoding should be more efficient for sequential data" + ); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/bit_pack_array.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/bit_pack_array.rs new file mode 100644 index 0000000000000..9c693616db3e3 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/bit_pack_array.rs @@ -0,0 +1,347 @@ +use std::mem::size_of; +use std::num::NonZero; + +use arrow::array::{ArrowPrimitiveType, PrimitiveArray}; +use arrow::buffer::{Buffer, NullBuffer, ScalarBuffer}; +use arrow::datatypes::ArrowNativeType; +use fastlanes::BitPacking; + +/// A bit-packed array. +#[derive(Debug)] +pub struct BitPackedArray +where + T::Native: BitPacking, +{ + packed_values: ScalarBuffer, + nulls: Option, + bit_width: Option>, // if None, the array is entirely null + original_len: usize, +} + +/// Implement Clone for any T that implements ArrowPrimitiveType and BitPacking +/// This allows us to clone it without requiring T to implement Clone +impl Clone for BitPackedArray +where + T::Native: BitPacking, +{ + fn clone(&self) -> Self { + Self { + packed_values: self.packed_values.clone(), + nulls: self.nulls.clone(), + bit_width: self.bit_width, + original_len: self.original_len, + } + } +} + +impl BitPackedArray +where + T::Native: BitPacking, +{ + /// Creates a new null array with the given length. + pub fn new_null_array(len: usize) -> Self { + Self { + packed_values: vec![T::Native::usize_as(0); len].into(), + nulls: Some(NullBuffer::new_null(len)), + bit_width: None, + original_len: len, + } + } + + pub(crate) fn len(&self) -> usize { + self.original_len + } + + pub(crate) fn nulls(&self) -> Option<&NullBuffer> { + self.nulls.as_ref() + } + + /// Returns true if the array is nullable. + #[cfg(test)] + fn is_nullable(&self) -> bool { + self.nulls.is_some() + } + + /// Creates a new bit-packed array from a primitive array and a bit width. + pub fn from_primitive(array: PrimitiveArray, bit_width: NonZero) -> Self { + let original_len = array.len(); + let (_data_type, values, nulls) = array.into_parts(); + + let bit_width_usize = bit_width.get() as usize; + let num_chunks = original_len.div_ceil(1024); + let num_full_chunks = original_len / 1024; + let packed_len = (1024 * bit_width_usize).div_ceil(size_of::() * 8); + + let mut output = Vec::::with_capacity(num_chunks * packed_len); + + (0..num_full_chunks).for_each(|i| { + let start_elem = i * 1024; + + output.reserve(packed_len); + let output_len = output.len(); + unsafe { + output.set_len(output_len + packed_len); + BitPacking::unchecked_pack( + bit_width_usize, + &values[start_elem..][..1024], + &mut output[output_len..][..packed_len], + ); + } + }); + + if num_chunks != num_full_chunks { + let last_chunk_size = values.len() % 1024; + let mut last_chunk = vec![T::Native::default(); 1024]; + last_chunk[..last_chunk_size] + .copy_from_slice(&values[values.len() - last_chunk_size..]); + + output.reserve(packed_len); + let output_len = output.len(); + unsafe { + output.set_len(output_len + packed_len); + BitPacking::unchecked_pack( + bit_width_usize, + &last_chunk, + &mut output[output_len..][..packed_len], + ); + } + } + + let buffer = Buffer::from(output); + let scalar_buffer = ScalarBuffer::new(buffer, 0, num_chunks * packed_len); + + Self { + packed_values: scalar_buffer, + nulls, + bit_width: Some(bit_width), + original_len, + } + } + + /// Converts the bit-packed array to a primitive array. + pub fn to_primitive(&self) -> PrimitiveArray { + // Special case for all nulls, don't unpack + let bit_width = if let Some(bit_width) = self.bit_width { + bit_width.get() as usize + } else { + return PrimitiveArray::::new_null(self.original_len); + }; + let packed = self.packed_values.as_ref(); + let length = self.original_len; + let offset = 0; + + let num_chunks = (offset + length).div_ceil(1024); + let elements_per_chunk = (1024 * bit_width).div_ceil(size_of::() * 8); + + let mut output = Vec::::with_capacity(num_chunks * 1024 - offset); + + let first_full_chunk = if offset != 0 { + let chunk: &[T::Native] = &packed[0..elements_per_chunk]; + let mut decoded = vec![T::Native::default(); 1024]; + unsafe { BitPacking::unchecked_unpack(bit_width, chunk, &mut decoded) }; + output.extend_from_slice(&decoded[offset..]); + 1 + } else { + 0 + }; + + (first_full_chunk..num_chunks).for_each(|i| { + let chunk: &[T::Native] = &packed[i * elements_per_chunk..][0..elements_per_chunk]; + unsafe { + let output_len = output.len(); + output.set_len(output_len + 1024); + BitPacking::unchecked_unpack(bit_width, chunk, &mut output[output_len..][..1024]); + } + }); + + output.truncate(length); + if output.len() < 1024 { + output.shrink_to_fit(); + } + + let nulls = self.nulls.clone(); + PrimitiveArray::::new(ScalarBuffer::from(output), nulls) + } + + /// Returns the memory size of the bit-packed array. + pub fn get_array_memory_size(&self) -> usize { + std::mem::size_of::() + + self.packed_values.inner().capacity() + + self + .nulls + .as_ref() + .map_or(0, |nulls| nulls.buffer().capacity()) + } +} + +#[allow(dead_code)] +fn best_arrow_primitive_width(bit_width: NonZero) -> usize { + match bit_width.get() { + 0..=8 => 8, + 9..=16 => 16, + 17..=32 => 32, + 33..=64 => 64, + _ => panic!("Unsupported bit width: {}", bit_width.get()), + } +} + +#[cfg(test)] +mod tests { + use super::*; + use arrow::{ + array::Array, + datatypes::{UInt16Type, UInt32Type}, + }; + + #[test] + fn test_bit_pack_roundtrip() { + // Test with a full chunk (1024 elements) + let values: Vec = (0..1024).collect(); + + let array = PrimitiveArray::::from(values); + let before_size = array.get_array_memory_size(); + let bit_packed = BitPackedArray::from_primitive(array, NonZero::new(10).unwrap()); + let after_size = bit_packed.get_array_memory_size(); + println!("before: {before_size}, after: {after_size}"); + let unpacked = bit_packed.to_primitive(); + + assert_eq!(unpacked.len(), 1024); + for i in 0..1024 { + assert_eq!(unpacked.value(i), i as u32); + } + } + + #[test] + fn test_bit_pack_partial_chunk() { + // Test with a partial chunk (500 elements) + let values: Vec = (0..500).collect(); + let array = PrimitiveArray::::from(values); + let bit_packed = BitPackedArray::from_primitive(array, NonZero::new(10).unwrap()); + let unpacked = bit_packed.to_primitive(); + + assert_eq!(unpacked.len(), 500); + for i in 0..500 { + assert_eq!(unpacked.value(i), i as u32); + } + } + + #[test] + fn test_bit_pack_multiple_chunks() { + // Test with multiple chunks (2048 elements = 2 full chunks) + let values: Vec = (0..2048).collect(); + let array = PrimitiveArray::::from(values); + let bit_packed = BitPackedArray::from_primitive(array, NonZero::new(11).unwrap()); + let unpacked = bit_packed.to_primitive(); + + assert_eq!(unpacked.len(), 2048); + for i in 0..2048 { + assert_eq!(unpacked.value(i), i as u32); + } + } + + #[test] + fn test_bit_pack_with_nulls() { + let values: Vec> = (0..1000) + .map(|i| if i % 2 == 0 { Some(i as u32) } else { None }) + .collect(); + let array = PrimitiveArray::::from(values); + let bit_packed = BitPackedArray::from_primitive(array, NonZero::new(10).unwrap()); + let unpacked = bit_packed.to_primitive(); + + assert_eq!(unpacked.len(), 1000); + for i in 0..1000_usize { + if i.is_multiple_of(2) { + assert_eq!(unpacked.value(i), i as u32); + } else { + assert!(unpacked.is_null(i)); + } + } + } + + #[test] + fn test_different_bit_widths() { + // Test with different bit widths + let values: Vec = (0..100).map(|i| i * 2).collect(); + let array = PrimitiveArray::::from(values); + + for bit_width in [8, 16, 24, 32] { + let bit_packed = + BitPackedArray::from_primitive(array.clone(), NonZero::new(bit_width).unwrap()); + let unpacked = bit_packed.to_primitive(); + + assert_eq!(unpacked.len(), 100); + for i in 0..100 { + assert_eq!(unpacked.value(i), i as u32 * 2); + } + } + } + + #[test] + fn test_roundtrip_with_nulls_and_offset() { + let values: Vec> = (0..32) + .map(|i| if i % 3 == 0 { None } else { Some(i as u16) }) + .collect(); + let array = PrimitiveArray::::from(values); + + // Slice to create a non-zero offset (and therefore a non-zero null bitmap bit offset). + let sliced = array.slice(1, 23); + + let bit_width = NonZero::new(16).unwrap(); + let original = BitPackedArray::from_primitive(sliced.clone(), bit_width); + assert!(original.is_nullable()); + + let roundtripped = original.to_primitive(); + assert_eq!(roundtripped, sliced); + } + + #[test] + fn test_memory_size_calculation() { + use super::*; + use arrow::buffer::{Buffer, NullBuffer, ScalarBuffer}; + use arrow::datatypes::UInt32Type; + + let scalar_buffer = ScalarBuffer::::new(Buffer::from(vec![0; 1024]), 0, 1024); + + // --- Test without nulls --- + let bit_packed_no_nulls = BitPackedArray:: { + packed_values: scalar_buffer.clone(), + nulls: None, + bit_width: Some(NonZero::new(10).unwrap()), + original_len: 1024, + }; + + let expected_size_no_nulls = + size_of::>() + scalar_buffer.inner().capacity(); + assert_eq!( + bit_packed_no_nulls.get_array_memory_size(), + expected_size_no_nulls, + "Memory size mismatch without nulls" + ); + + // --- Test with nulls --- + // Create dummy null buffer + let null_buffer = NullBuffer::new_null(1024); + let nulls = Some(null_buffer); + + let bit_packed_with_nulls = BitPackedArray:: { + packed_values: scalar_buffer.clone(), + nulls: nulls.clone(), // Clone the Option + bit_width: Some(NonZero::new(10).unwrap()), + original_len: 1024, + }; + + // Calculate expected size including null buffer + // Note: Arrow's Buffer might allocate slightly more than null_bitmap_len_bytes + // We use the actual buffer capacity for a more precise comparison + let actual_null_buffer_size = nulls.as_ref().map_or(0, |nb| nb.buffer().capacity()); + let expected_size_with_nulls = size_of::>() + + scalar_buffer.inner().capacity() + + actual_null_buffer_size; + + assert_eq!( + bit_packed_with_nulls.get_array_memory_size(), + expected_size_with_nulls, + "Memory size mismatch with nulls" + ); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/mod.rs new file mode 100644 index 0000000000000..c7414ae8bc691 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/liquid_array/raw/mod.rs @@ -0,0 +1,5 @@ +//! Low level array primitives. +//! You should not use this module directly. +//! Instead, use `liquid_cache_datafusion_server` or `liquid_cache_datafusion_client` to interact with LiquidCache. +pub(super) mod bit_pack_array; +pub use bit_pack_array::BitPackedArray; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/sync.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/sync.rs new file mode 100644 index 0000000000000..4e2a741253538 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/sync.rs @@ -0,0 +1,2 @@ +#[allow(unused_imports)] +pub use std::{sync::*, thread}; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/utils/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/utils/mod.rs new file mode 100644 index 0000000000000..3e8c51a66771b --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/core/src/utils/mod.rs @@ -0,0 +1,32 @@ +//! Utility functions for the storage module. + +use std::num::NonZero; + +use datafusion_common::ScalarValue; + +/// Get the bit width for a given max value. +/// Returns 1 if the max value is 0. +/// Returns 64 - max_value.leading_zeros() as u8 otherwise. +pub(crate) fn get_bit_width(max_value: u64) -> NonZero { + if max_value == 0 { + // todo: here we actually should return 0, as we should just use constant encoding. + // but that's not implemented yet. + NonZero::new(1).unwrap() + } else { + NonZero::new(64 - max_value.leading_zeros() as u8).unwrap() + } +} + +pub(crate) fn get_bytes_needle(value: &ScalarValue) -> Option> { + match value { + ScalarValue::Utf8(Some(v)) => Some(v.as_bytes().to_vec()), + ScalarValue::Utf8View(Some(v)) => Some(v.as_bytes().to_vec()), + ScalarValue::LargeUtf8(Some(v)) => Some(v.as_bytes().to_vec()), + ScalarValue::Binary(Some(v)) => Some(v.clone()), + ScalarValue::BinaryView(Some(v)) => Some(v.clone()), + ScalarValue::FixedSizeBinary(_, Some(v)) => Some(v.clone()), + ScalarValue::LargeBinary(Some(v)) => Some(v.clone()), + ScalarValue::Dictionary(_, value) => get_bytes_needle(value.as_ref()), + _ => None, + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/Cargo.toml b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/Cargo.toml new file mode 100644 index 0000000000000..80950a688c28d --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/Cargo.toml @@ -0,0 +1,34 @@ +# SPDX-License-Identifier: Apache-2.0 +# +# Vendored in-memory subset of liquid-cache DataFusion integration. +# Provenance: https://github.com/cocosz/liquid-cache branch lc-opensearch-df54-v2 +# commit 8311bccc258756127adbebee3e54140b60fc09ba. See ../README.md. + +[package] +name = "opensearch-liquid-cache-datafusion" +version = "0.1.0" +edition = "2024" +license = "Apache-2.0" +publish = false + +[lib] +# Keep the upstream crate name so the integration keeps its +# `use liquid_cache_datafusion::...` paths. See ../README.md. +name = "liquid_cache_datafusion" +path = "src/lib.rs" + +[dependencies] +ahash = { workspace = true } +arrow = { workspace = true } +arrow-schema = { workspace = true } +bytes = { workspace = true } +datafusion = { workspace = true } +futures = { workspace = true } +log = { workspace = true } +object_store = { workspace = true } +parquet = { workspace = true } +tokio = { workspace = true } +opensearch-liquid-cache-core = { workspace = true } + +[dev-dependencies] +tempfile = { workspace = true } diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/column.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/column.rs new file mode 100644 index 0000000000000..ea029cfb61e13 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/column.rs @@ -0,0 +1,196 @@ +use arrow::{ + array::{Array, ArrayRef, BooleanArray}, + buffer::BooleanBuffer, + compute::prep_null_mask_filter, + record_batch::RecordBatch, +}; +use arrow_schema::{ArrowError, DataType, Field, Schema}; +use liquid_cache::cache::{CacheFull, LiquidCache, LiquidExpr}; +use parquet::arrow::arrow_reader::ArrowPredicate; + +use crate::{ + LiquidPredicate, + cache::{BatchID, ColumnAccessPath, ParquetArrayID}, +}; +use std::sync::Arc; + +/// A column in the cache. +#[derive(Debug)] +pub struct CachedColumn { + cache_store: Arc, + field: Arc, + column_path: ColumnAccessPath, + /// Whether this column is used in a predicate (WHERE clause). + /// In predicate-only mode, only predicate columns are cached. + is_predicate_column: bool, +} + +/// A reference to a cached column. +pub type CachedColumnRef = Arc; + +/// Error type for inserting an arrow array into the cache. +#[derive(Debug)] +pub enum InsertArrowArrayError { + /// The array is already cached. + AlreadyCached, + /// The cache does not have enough memory budget to accept the array. + CacheFull, +} + +impl From for InsertArrowArrayError { + fn from(_: CacheFull) -> Self { + Self::CacheFull + } +} + +impl CachedColumn { + pub(crate) fn new( + field: Arc, + cache_store: Arc, + column_access_path: ColumnAccessPath, + is_predicate_column: bool, + ) -> Self { + Self { + field, + cache_store, + column_path: column_access_path, + is_predicate_column, + } + } + + /// row_id must be on a batch boundary. + pub(crate) fn entry_id(&self, batch_id: BatchID) -> ParquetArrayID { + self.column_path.entry_id(batch_id) + } + + pub(crate) fn is_cached(&self, batch_id: BatchID) -> bool { + self.cache_store.is_cached(&self.entry_id(batch_id).into()) + } + + /// Returns the Arrow field metadata for this cached column. + pub fn field(&self) -> Arc { + self.field.clone() + } + + /// Returns whether this column is a predicate column (used in WHERE clause). + pub fn is_predicate_column(&self) -> bool { + self.is_predicate_column + } + + fn array_to_record_batch(&self, array: ArrayRef) -> RecordBatch { + let schema = Arc::new(Schema::new(vec![self.field.clone()])); + RecordBatch::try_new(schema, vec![array]).unwrap() + } + + /// Evaluates a predicate on a cached column. + pub fn eval_predicate_with_filter( + &self, + batch_id: BatchID, + filter: &BooleanBuffer, + predicate: &mut LiquidPredicate, + ) -> Option> { + let entry_id = self.entry_id(batch_id).into(); + let liquid_expr = LiquidExpr::try_new( + Arc::clone(predicate.physical_expr()), + self.field.data_type(), + ); + + if let Some(liquid_expr) = liquid_expr + && let Some(boolean_array) = self + .cache_store + .eval_predicate(&entry_id, &liquid_expr) + .with_selection(filter) + .read() + { + let predicate_filter = match boolean_array.null_count() { + 0 => boolean_array, + _ => prep_null_mask_filter(&boolean_array), + }; + return Some(Ok(predicate_filter)); + } + + let array = self.get_arrow_array_with_filter(batch_id, filter)?; + let record_batch = self.array_to_record_batch(array); + let boolean_array = match predicate.evaluate(record_batch) { + Ok(arr) => arr, + Err(err) => return Some(Err(err)), + }; + let predicate_filter = match boolean_array.null_count() { + 0 => boolean_array, + _ => prep_null_mask_filter(&boolean_array), + }; + Some(Ok(predicate_filter)) + } + + pub(crate) fn liquid_expr_for_predicate( + &self, + expr: Arc, + ) -> Option { + LiquidExpr::try_new(expr, self.field.data_type()) + } + + /// Get an arrow array with a filter applied. + /// Returns None for non-predicate columns or string predicate columns + /// (only numeric predicate columns are cached and served from cache). + pub fn get_arrow_array_with_filter( + &self, + batch_id: BatchID, + filter: &BooleanBuffer, + ) -> Option { + if !self.is_predicate_column || is_string_type(self.field.data_type()) { + return None; + } + let entry_id = self.entry_id(batch_id).into(); + let result = self + .cache_store + .get(&entry_id) + .with_selection(filter) + .read(); + if result.is_some() { + self.cache_store.observer().runtime_stats().incr_cache_hit(); + } else { + self.cache_store + .observer() + .runtime_stats() + .incr_cache_miss(); + } + result + } + + #[cfg(test)] + pub(crate) fn get_arrow_array_test_only(&self, batch_id: BatchID) -> Option { + let entry_id = self.entry_id(batch_id).into(); + self.cache_store.get(&entry_id).read() + } + + /// Insert an array into the cache. + /// Only numeric predicate columns are cached; string predicates and + /// non-predicate columns return CacheFull. + pub fn insert( + self: &Arc, + batch_id: BatchID, + array: ArrayRef, + ) -> Result<(), InsertArrowArrayError> { + if !self.is_predicate_column || is_string_type(self.field.data_type()) { + return Err(InsertArrowArrayError::CacheFull); + } + + if self.is_cached(batch_id) { + return Err(InsertArrowArrayError::AlreadyCached); + } + + self.cache_store + .insert(self.entry_id(batch_id).into(), array) + .execute()?; + Ok(()) + } +} + +fn is_string_type(data_type: &DataType) -> bool { + match data_type { + DataType::Utf8 | DataType::Utf8View | DataType::LargeUtf8 => true, + DataType::Binary | DataType::BinaryView | DataType::LargeBinary => true, + DataType::Dictionary(_, value_type) => is_string_type(value_type.as_ref()), + _ => false, + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/id.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/id.rs new file mode 100644 index 0000000000000..b52379dea05be --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/id.rs @@ -0,0 +1,310 @@ +use std::ops::Deref; + +use liquid_cache::cache::EntryID; + +/// This is a unique identifier for a row in a parquet file. +#[repr(C, align(8))] +#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Ord, PartialOrd)] +pub struct ParquetArrayID { + file_id: u16, + rg_id: u16, + col_id: u16, + batch_id: BatchID, +} + +impl From for usize { + fn from(id: ParquetArrayID) -> Self { + (id.file_id as usize) << 48 + | (id.rg_id as usize) << 32 + | (id.col_id as usize) << 16 + | (id.batch_id.v as usize) + } +} + +impl From for ParquetArrayID { + fn from(value: usize) -> Self { + Self { + file_id: (value >> 48) as u16, + rg_id: ((value >> 32) & 0xFFFF) as u16, + col_id: ((value >> 16) & 0xFFFF) as u16, + batch_id: BatchID::from_raw((value & 0xFFFF) as u16), + } + } +} + +impl ParquetArrayID {} + +impl From for EntryID { + fn from(id: ParquetArrayID) -> Self { + EntryID::from(usize::from(id)) + } +} + +impl From for ParquetArrayID { + fn from(id: EntryID) -> Self { + ParquetArrayID::from(usize::from(id)) + } +} + +const _: () = assert!(std::mem::size_of::() == 8); +const _: () = assert!(std::mem::align_of::() == 8); + +impl ParquetArrayID { + /// Creates a new CacheEntryID. + pub fn new(file_id: u64, row_group_id: u64, column_id: u64, batch_id: BatchID) -> Self { + debug_assert!(file_id <= u16::MAX as u64); + debug_assert!(row_group_id <= u16::MAX as u64); + debug_assert!(column_id <= u16::MAX as u64); + Self { + file_id: file_id as u16, + rg_id: row_group_id as u16, + col_id: column_id as u16, + batch_id, + } + } + + /// Get the batch id. + pub fn batch_id_inner(&self) -> u64 { + self.batch_id.v as u64 + } + + /// Get the file id. + pub fn file_id_inner(&self) -> u64 { + self.file_id as u64 + } + + /// Get the row group id. + pub fn row_group_id_inner(&self) -> u64 { + self.rg_id as u64 + } + + /// Get the column id. + pub fn column_id_inner(&self) -> u64 { + self.col_id as u64 + } + + /// Returns a human-readable string representation of this entry + /// (e.g. `file_1/rg_2/col_3/batch_4`). + pub fn display_path(&self) -> String { + format!( + "file_{}/rg_{}/col_{}/batch_{}", + self.file_id_inner(), + self.row_group_id_inner(), + self.column_id_inner(), + self.batch_id_inner() + ) + } +} + +/// BatchID is a unique identifier for a batch of rows, +/// it is row id divided by the batch size. +/// +// It's very easy to misinterpret this as row id, so we use new type idiom to avoid confusion: +// https://doc.rust-lang.org/rust-by-example/generics/new_types.html +#[repr(C, align(2))] +#[derive(Copy, Clone, Debug, PartialEq, Eq, Hash, Ord, PartialOrd)] +pub struct BatchID { + v: u16, +} + +impl BatchID { + /// Creates a new BatchID from a row id and a batch size. + /// The row id is at the boundary of the batch. + pub fn from_row_id(row_id: usize, batch_size: usize) -> Self { + Self { + v: (row_id / batch_size) as u16, + } + } + + /// Creates a new BatchID from a raw value. + pub fn from_raw(v: u16) -> Self { + Self { v } + } + + /// Increment the batch id. + pub fn inc(&mut self) { + debug_assert!(self.v < u16::MAX); + self.v += 1; + } +} + +impl Deref for BatchID { + type Target = u16; + + fn deref(&self) -> &Self::Target { + &self.v + } +} + +/// Column access path. +#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash, Ord, PartialOrd)] +pub struct ColumnAccessPath { + file_id: u16, + rg_id: u16, + col_id: u16, +} + +impl ColumnAccessPath { + /// Create a new instance of ColumnAccessPath. + pub fn new(file_id: u64, row_group_id: u64, column_id: u64) -> Self { + debug_assert!(file_id <= u16::MAX as u64); + debug_assert!(row_group_id <= u16::MAX as u64); + debug_assert!(column_id <= u16::MAX as u64); + Self { + file_id: file_id as u16, + rg_id: row_group_id as u16, + col_id: column_id as u16, + } + } + + /// Get the file id. + fn file_id_inner(&self) -> u64 { + self.file_id as u64 + } + + /// Get the row group id. + fn row_group_id_inner(&self) -> u64 { + self.rg_id as u64 + } + + /// Get the column id. + fn column_id_inner(&self) -> u64 { + self.col_id as u64 + } + + /// Get the entry id. + pub fn entry_id(&self, batch_id: BatchID) -> ParquetArrayID { + ParquetArrayID::new( + self.file_id_inner(), + self.row_group_id_inner(), + self.column_id_inner(), + batch_id, + ) + } +} + +impl From for ColumnAccessPath { + fn from(value: ParquetArrayID) -> Self { + Self { + file_id: value.file_id_inner() as u16, + rg_id: value.row_group_id_inner() as u16, + col_id: value.column_id_inner() as u16, + } + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_cache_entry_id_new_and_getters() { + let file_id = 10u64; + let row_group_id = 20u64; + let column_id = 30u64; + let batch_id = BatchID::from_raw(40); + let entry_id = ParquetArrayID::new(file_id, row_group_id, column_id, batch_id); + + assert_eq!(entry_id.file_id_inner(), file_id); + assert_eq!(entry_id.row_group_id_inner(), row_group_id); + assert_eq!(entry_id.column_id_inner(), column_id); + assert_eq!(entry_id.batch_id_inner(), *batch_id as u64); + } + + #[test] + fn test_cache_entry_id_boundaries() { + let file_id = u16::MAX as u64; + let row_group_id = 0u64; + let column_id = u16::MAX as u64; + let batch_id = BatchID::from_raw(0); + let entry_id = ParquetArrayID::new(file_id, row_group_id, column_id, batch_id); + + assert_eq!(entry_id.file_id_inner(), file_id); + assert_eq!(entry_id.row_group_id_inner(), row_group_id); + assert_eq!(entry_id.column_id_inner(), column_id); + assert_eq!(entry_id.batch_id_inner(), *batch_id as u64); + } + + #[test] + #[should_panic] + fn test_cache_entry_id_new_panic_file_id() { + ParquetArrayID::new((u16::MAX as u64) + 1, 0, 0, BatchID::from_raw(0)); + } + + #[test] + #[should_panic] + fn test_cache_entry_id_new_panic_row_group_id() { + ParquetArrayID::new(0, (u16::MAX as u64) + 1, 0, BatchID::from_raw(0)); + } + + #[test] + #[should_panic] + fn test_cache_entry_id_new_panic_column_id() { + ParquetArrayID::new(0, 0, (u16::MAX as u64) + 1, BatchID::from_raw(0)); + } + + #[test] + fn test_cache_entry_id_display_path() { + let entry_id = ParquetArrayID::new(1, 2, 3, BatchID::from_raw(4)); + assert_eq!(entry_id.display_path(), "file_1/rg_2/col_3/batch_4"); + } + + #[test] + fn test_batch_id_from_row_id() { + let batch_id = BatchID::from_row_id(256, 128); + assert_eq!(batch_id.v, 2); + } + + #[test] + fn test_batch_id_from_raw() { + let batch_id = BatchID::from_raw(5); + assert_eq!(batch_id.v, 5); + } + + #[test] + fn test_batch_id_inc() { + let mut batch_id = BatchID::from_raw(10); + batch_id.inc(); + assert_eq!(batch_id.v, 11); + } + + #[test] + #[should_panic] + fn test_batch_id_inc_overflow() { + let mut batch_id = BatchID::from_raw(u16::MAX); + // Should panic because incrementing exceeds u16::MAX + batch_id.inc(); + } + + #[test] + fn test_batch_id_deref() { + let batch_id = BatchID::from_raw(15); + assert_eq!(*batch_id, 15); + } + + #[test] + fn test_column_path_from_cache_entry_id() { + let entry_id = ParquetArrayID::new(1, 2, 3, BatchID::from_raw(4)); + let column_path: ColumnAccessPath = entry_id.into(); + + assert_eq!(column_path.file_id, 1); + assert_eq!(column_path.rg_id, 2); + assert_eq!(column_path.col_id, 3); + } + + #[test] + fn test_column_path_entry_id() { + let file_id = 5u64; + let row_group_id = 6u64; + let column_id = 7u64; + let column_path = ColumnAccessPath::new(file_id, row_group_id, column_id); + + let batch_id = BatchID::from_raw(8); + let entry_id = column_path.entry_id(batch_id); + + assert_eq!(entry_id.file_id_inner(), file_id); + assert_eq!(entry_id.row_group_id_inner(), row_group_id); + assert_eq!(entry_id.column_id_inner(), column_id); + assert_eq!(entry_id.batch_id_inner(), *batch_id as u64); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/mod.rs new file mode 100644 index 0000000000000..04f6f3161c885 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/mod.rs @@ -0,0 +1,480 @@ +//! This module contains the cache implementation for the Parquet reader. +//! + +use crate::reader::{LiquidPredicate, extract_multi_column_or}; +use crate::sync::Mutex; +use ahash::AHashMap; +use arrow::array::{BooleanArray, RecordBatch}; +use arrow::buffer::BooleanBuffer; +use arrow_schema::{ArrowError, Field, Schema, SchemaRef}; +use liquid_cache::cache::{ + CachePolicy, CacheStats, LiquidCache, LiquidCacheBuilder, SqueezePolicy, +}; +use parquet::arrow::arrow_reader::ArrowPredicate; +use std::sync::Arc; +use std::sync::atomic::{AtomicU64, Ordering}; + +mod column; +mod id; +mod stats; + +pub use column::{CachedColumn, CachedColumnRef, InsertArrowArrayError}; +pub(crate) use id::ColumnAccessPath; +pub use id::{BatchID, ParquetArrayID}; + +#[derive(Default, Debug)] +struct ColumnMaps { + // invariant: Arc::ptr_eq(map[field.name()], map[field.id()]) + by_id: AHashMap, + by_name: AHashMap, +} + +/// A row group in the cache. +#[derive(Debug)] +pub struct CachedRowGroup { + columns: ColumnMaps, + cache_store: Arc, +} + +impl CachedRowGroup { + /// Create a new row group. + /// The column_ids are the indices of the columns in the file schema. + /// So they may not start from 0. + fn new( + cache_store: Arc, + row_group_idx: u64, + file_idx: u64, + columns: &[(u64, Arc, bool)], + ) -> Self { + let mut column_maps = ColumnMaps::default(); + for (column_id, field, is_predicate_column) in columns { + let column_access_path = ColumnAccessPath::new(file_idx, row_group_idx, *column_id); + let column = Arc::new(CachedColumn::new( + Arc::clone(field), + Arc::clone(&cache_store), + column_access_path, + *is_predicate_column, + )); + column_maps.by_id.insert(*column_id, column.clone()); + column_maps.by_name.insert(field.name().to_string(), column); + } + + Self { + columns: column_maps, + cache_store, + } + } + + /// Returns the batch size configured for this cached row group. + pub fn batch_size(&self) -> usize { + self.cache_store.config().batch_size() + } + + /// Get a column from the row group. + pub fn get_column(&self, column_id: u64) -> Option { + self.columns.by_id.get(&column_id).cloned() + } + + /// Get a column from the row group by its field name. + pub fn get_column_by_name(&self, column_name: &str) -> Option { + if let Some(column) = self.columns.by_name.get(column_name) { + return Some(column.clone()); + } + + // DataFusion may carry qualified names in physical expressions + // (e.g. "table.col"), while cache fields are keyed by file schema names. + let unqualified = column_name.rsplit('.').next().unwrap_or(column_name); + self.columns.by_name.get(unqualified).cloned() + } + + /// Evaluate a predicate on a row group. + pub fn evaluate_selection_with_predicate( + &self, + batch_id: BatchID, + selection: &BooleanBuffer, + predicate: &mut LiquidPredicate, + ) -> Option> { + let column_ids = predicate.predicate_column_ids(); + + if column_ids.len() == 1 { + // If we only have one column, we can short-circuit and try to evaluate the predicate on encoded data. + let column_id = column_ids[0]; + let cache = self.get_column(column_id as u64)?; + return cache.eval_predicate_with_filter(batch_id, selection, predicate); + } else if column_ids.len() >= 2 { + // Try to extract multiple column-literal expressions from OR structure + if let Some(column_exprs) = + extract_multi_column_or(predicate.physical_expr_physical_column_index()) + { + let mut combined_buffer: Option = None; + + for (col_name, expr) in column_exprs { + let column = self.get_column_by_name(col_name)?; + let liquid_expr = column.liquid_expr_for_predicate(Arc::clone(&expr)); + let liquid_expr = match liquid_expr { + Some(expr) => expr, + None => { + combined_buffer = None; + break; + } + }; + let entry_id = column.entry_id(batch_id).into(); + let liquid_array = self.cache_store.try_read_liquid(&entry_id); + let liquid_array = match liquid_array { + None => { + combined_buffer = None; + break; + } + Some(array) => array, + }; + let buffer = liquid_array.try_eval_predicate(&liquid_expr, selection); + + combined_buffer = Some(match combined_buffer { + None => buffer, + Some(existing) => { + arrow::compute::kernels::boolean::or_kleene(&existing, &buffer).ok()? + } + }); + } + + if let Some(result) = combined_buffer { + return Some(Ok(result)); + } + } + } + // Otherwise, we need to first convert the data into arrow arrays. + let mut arrays = Vec::new(); + let mut fields = Vec::new(); + for column_id in column_ids { + let column = self.get_column(column_id as u64)?; + let array = column.get_arrow_array_with_filter(batch_id, selection)?; + arrays.push(array); + fields.push(column.field()); + } + let schema = Arc::new(Schema::new(fields)); + let record_batch = RecordBatch::try_new(schema, arrays).unwrap(); + let boolean_array = predicate.evaluate(record_batch).unwrap(); + Some(Ok(boolean_array)) + } +} + +pub(crate) type CachedRowGroupRef = Arc; + +/// A file in the cache. +#[derive(Debug)] +pub struct CachedFile { + cache_store: Arc, + file_id: u64, + file_schema: SchemaRef, +} + +impl CachedFile { + fn new(cache_store: Arc, file_id: u64, file_schema: SchemaRef) -> Self { + Self { + cache_store, + file_id, + file_schema, + } + } + + /// Create a row group handle scoped to the current query context. + pub fn create_row_group( + &self, + row_group_id: u64, + predicate_column_ids: Vec, + ) -> CachedRowGroupRef { + let columns: Vec<(u64, Arc, bool)> = self + .file_schema + .fields() + .iter() + .enumerate() + .map(|(idx, field)| { + let is_predicate_column = predicate_column_ids.contains(&idx); + (idx as u64, Arc::clone(field), is_predicate_column) + }) + .collect(); + + Arc::new(CachedRowGroup::new( + self.cache_store.clone(), + row_group_id, + self.file_id, + &columns, + )) + } + + /// Return the configured cache batch size. + pub fn batch_size(&self) -> usize { + self.cache_store.config().batch_size() + } + + /// Return the full file schema tracked by the cache entry. + pub fn schema(&self) -> SchemaRef { + Arc::clone(&self.file_schema) + } +} + +/// A reference to a cached file. +pub(crate) type CachedFileRef = Arc; + +/// The main cache structure. +#[derive(Debug)] +pub struct LiquidCacheParquet { + /// Map file path to file id. + files: Mutex>, + + cache_store: Arc, + + current_file_id: AtomicU64, +} + +/// A reference to the main cache structure. +pub type LiquidCacheParquetRef = Arc; + +impl LiquidCacheParquet { + /// Create a new in-memory cache for parquet files. + pub fn new( + batch_size: usize, + max_memory_bytes: usize, + cache_policy: Box, + squeeze_policy: Box, + ) -> Self { + assert!(batch_size.is_power_of_two()); + let cache_storage = LiquidCacheBuilder::new() + .with_batch_size(batch_size) + .with_max_memory_bytes(max_memory_bytes) + .with_squeeze_policy(squeeze_policy) + .with_cache_policy(cache_policy) + .build(); + + LiquidCacheParquet { + files: Mutex::new(AHashMap::new()), + cache_store: cache_storage, + current_file_id: AtomicU64::new(0), + } + } + + /// Register a file in the cache. + pub fn register_or_get_file( + &self, + file_path: String, + full_file_schema: SchemaRef, + ) -> CachedFileRef { + let mut files = self.files.lock().unwrap(); + let file_id = *files + .entry(file_path.clone()) + .or_insert_with(|| self.current_file_id.fetch_add(1, Ordering::Relaxed)); + drop(files); + + Arc::new(CachedFile::new( + self.cache_store.clone(), + file_id, + full_file_schema, + )) + } + + /// Get the batch size of the cache. + pub fn batch_size(&self) -> usize { + self.cache_store.config().batch_size() + } + + /// Get the max memory bytes of the cache. + pub fn max_memory_bytes(&self) -> usize { + self.cache_store.config().max_memory_bytes() + } + + /// Get the memory usage of the cache in bytes. + pub fn memory_usage_bytes(&self) -> usize { + self.cache_store.budget().memory_usage_bytes() + } + + /// Get a snapshot of the cache statistics. + pub fn stats(&self) -> CacheStats { + self.cache_store.stats() + } + + /// Reset the cache. + /// + /// # Safety + /// This is unsafe because resetting the cache while other threads are using the cache may cause undefined behavior. + /// You should only call this when no one else is using the cache. + pub unsafe fn reset(&self) { + let mut files = self.files.lock().unwrap(); + files.clear(); + self.cache_store.reset(); + } + + /// Get the storage of the cache. + pub fn storage(&self) -> &Arc { + &self.cache_store + } +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::{CachedRowGroupRef, LiquidCacheParquet}; + use crate::reader::FilterCandidateBuilder; + use arrow::array::Int32Array; + use arrow::buffer::BooleanBuffer; + use arrow::datatypes::{DataType, Field, Schema}; + use arrow::record_batch::RecordBatch; + use datafusion::common::ScalarValue; + use datafusion::logical_expr::Operator; + use datafusion::physical_expr::PhysicalExpr; + use datafusion::physical_expr::expressions::{BinaryExpr, Literal}; + use datafusion::physical_plan::expressions::Column; + use liquid_cache::cache::TranscodeEvict; + use liquid_cache::cache_policies::LiquidPolicy; + use parquet::arrow::ArrowWriter; + use parquet::arrow::arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}; + use std::sync::Arc; + + fn setup_cache(batch_size: usize, schema: SchemaRef) -> CachedRowGroupRef { + let cache = LiquidCacheParquet::new( + batch_size, + usize::MAX, + Box::new(LiquidPolicy::new()), + Box::new(TranscodeEvict), + ); + let file = cache.register_or_get_file("test".to_string(), schema); + // Mark all columns as predicate columns so they are cacheable in tests. + let all_columns: Vec = (0..file.schema().fields().len()).collect(); + file.create_row_group(0, all_columns) + } + + #[test] + fn evaluate_or_on_cached_columns() { + let batch_size = 4; + + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + ])); + let row_group = setup_cache(batch_size, schema.clone()); + + let col_a = row_group.get_column(0).unwrap(); + let col_b = row_group.get_column(1).unwrap(); + + let batch_id = BatchID::from_row_id(0, batch_size); + + let array_a = Arc::new(Int32Array::from(vec![1, 2, 3, 4])); + let array_b = Arc::new(Int32Array::from(vec![10, 20, 30, 40])); + + assert!(col_a.insert(batch_id, array_a.clone()).is_ok()); + assert!(col_b.insert(batch_id, array_b.clone()).is_ok()); + + // build parquet metadata for predicate construction + let tmp_meta = tempfile::NamedTempFile::new().unwrap(); + let mut writer = + ArrowWriter::try_new(tmp_meta.reopen().unwrap(), Arc::clone(&schema), None).unwrap(); + let batch = RecordBatch::try_new(Arc::clone(&schema), vec![array_a, array_b]).unwrap(); + writer.write(&batch).unwrap(); + writer.close().unwrap(); + let file_reader = std::fs::File::open(tmp_meta.path()).unwrap(); + let metadata = ArrowReaderMetadata::load(&file_reader, ArrowReaderOptions::new()).unwrap(); + + // expression a = 3 OR b = 20 + let expr_a: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(3)))), + )); + let expr_b: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("b", 1)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(20)))), + )); + let expr: Arc = Arc::new(BinaryExpr::new(expr_a, Operator::Or, expr_b)); + + let builder = FilterCandidateBuilder::new(expr, Arc::clone(&schema)); + let candidate = builder.build(metadata.metadata()).unwrap().unwrap(); + let projection = candidate.projection(metadata.metadata()); + let mut predicate = LiquidPredicate::try_new(candidate, projection).unwrap(); + + let selection = BooleanBuffer::new_set(batch_size); + let result = row_group + .evaluate_selection_with_predicate(batch_id, &selection, &mut predicate) + .unwrap() + .unwrap(); + + let expected = BooleanBuffer::collect_bool(batch_size, |i| i == 1 || i == 2).into(); + assert_eq!(result, expected); + } + + #[test] + fn evaluate_three_column_or() { + let batch_size = 8; + + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + Field::new("c", DataType::Int32, false), + ])); + + let row_group = setup_cache(batch_size, schema.clone()); + + let col_a = row_group.get_column(0).unwrap(); + let col_b = row_group.get_column(1).unwrap(); + let col_c = row_group.get_column(2).unwrap(); + + let batch_id = BatchID::from_row_id(0, batch_size); + + let array_a = Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5, 6, 7, 8])); + let array_b = Arc::new(Int32Array::from(vec![10, 20, 30, 40, 50, 60, 70, 80])); + let array_c = Arc::new(Int32Array::from(vec![ + 100, 200, 300, 400, 500, 600, 700, 800, + ])); + + assert!(col_a.insert(batch_id, array_a.clone()).is_ok()); + assert!(col_b.insert(batch_id, array_b.clone()).is_ok()); + assert!(col_c.insert(batch_id, array_c.clone()).is_ok()); + + // build parquet metadata for predicate construction + let tmp_meta = tempfile::NamedTempFile::new().unwrap(); + let mut writer = + ArrowWriter::try_new(tmp_meta.reopen().unwrap(), Arc::clone(&schema), None).unwrap(); + let batch = + RecordBatch::try_new(Arc::clone(&schema), vec![array_a, array_b, array_c]).unwrap(); + writer.write(&batch).unwrap(); + writer.close().unwrap(); + let file_reader = std::fs::File::open(tmp_meta.path()).unwrap(); + let metadata = ArrowReaderMetadata::load(&file_reader, ArrowReaderOptions::new()).unwrap(); + + // expression: a = 2 OR b = 40 OR c = 600 + let expr_a: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(2)))), + )); + let expr_b: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("b", 1)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(40)))), + )); + let expr_c: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("c", 2)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(600)))), + )); + + // Build nested OR: (a = 2 OR b = 40) OR c = 600 + let expr_ab = Arc::new(BinaryExpr::new(expr_a, Operator::Or, expr_b)); + let expr: Arc = Arc::new(BinaryExpr::new(expr_ab, Operator::Or, expr_c)); + + let builder = FilterCandidateBuilder::new(expr, Arc::clone(&schema)); + let candidate = builder.build(metadata.metadata()).unwrap().unwrap(); + let projection = candidate.projection(metadata.metadata()); + let mut predicate = LiquidPredicate::try_new(candidate, projection).unwrap(); + + let selection = BooleanBuffer::new_set(batch_size); + let result = row_group + .evaluate_selection_with_predicate(batch_id, &selection, &mut predicate) + .unwrap() + .unwrap(); + + // Expected: row 1 (a=2), row 3 (b=40), row 5 (c=600) -> indices 1, 3, 5 + let expected = + BooleanBuffer::collect_bool(batch_size, |i| i == 1 || i == 3 || i == 5).into(); + assert_eq!(result, expected); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/stats.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/stats.rs new file mode 100644 index 0000000000000..59191edee813a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/cache/stats.rs @@ -0,0 +1,268 @@ +use super::LiquidCacheParquet; +use crate::{cache::id::ParquetArrayID, sync::Arc}; +use arrow::array::{ArrayBuilder, RecordBatch, StringBuilder, UInt64Builder}; +use arrow_schema::{DataType, Field, Schema, SchemaRef}; +use liquid_cache::cache::CacheEntry; +use parquet::{ + arrow::ArrowWriter, basic::Compression, errors::ParquetError, + file::properties::WriterProperties, +}; +use std::{fs::File, path::Path}; + +struct StatsWriter { + writer: ArrowWriter, + schema: SchemaRef, + file_path_builder: StringBuilder, + row_group_id_builder: UInt64Builder, + column_id_builder: UInt64Builder, + row_start_id_builder: UInt64Builder, + row_count_builder: UInt64Builder, + memory_size_builder: UInt64Builder, + cache_type_builder: StringBuilder, + reference_count_builder: UInt64Builder, +} + +impl StatsWriter { + fn new(file_path: impl AsRef) -> Result { + let schema = Arc::new(Schema::new(vec![ + Field::new("row_group_id", DataType::UInt64, false), + Field::new("column_id", DataType::UInt64, false), + Field::new("row_start_id", DataType::UInt64, false), + Field::new("row_count", DataType::UInt64, true), + Field::new("memory_size", DataType::UInt64, false), + Field::new("cache_type", DataType::Utf8, false), + Field::new("file_path", DataType::Utf8, false), + Field::new("reference_count", DataType::UInt64, false), + ])); + + let file = File::create(file_path)?; + let write_props = WriterProperties::builder() + .set_compression(Compression::LZ4) + .set_created_by("liquid-cache-stats".to_string()) + .build(); + let writer = ArrowWriter::try_new(file, schema.clone(), Some(write_props))?; + Ok(Self { + writer, + schema, + file_path_builder: StringBuilder::with_capacity(8192, 8192), + row_group_id_builder: UInt64Builder::new(), + column_id_builder: UInt64Builder::new(), + row_start_id_builder: UInt64Builder::new(), + row_count_builder: UInt64Builder::new(), + memory_size_builder: UInt64Builder::new(), + cache_type_builder: StringBuilder::with_capacity(8192, 8192), + reference_count_builder: UInt64Builder::new(), + }) + } + + fn build_batch(&mut self) -> Result { + let row_group_id_array = self.row_group_id_builder.finish(); + let column_id_array = self.column_id_builder.finish(); + let row_start_id_array = self.row_start_id_builder.finish(); + let row_count_array = self.row_count_builder.finish(); + let memory_size_array = self.memory_size_builder.finish(); + let cache_type_array = self.cache_type_builder.finish(); + let file_path_array = self.file_path_builder.finish(); + let reference_count_array = self.reference_count_builder.finish(); + Ok(RecordBatch::try_new( + self.schema.clone(), + vec![ + Arc::new(row_group_id_array), + Arc::new(column_id_array), + Arc::new(row_start_id_array), + Arc::new(row_count_array), + Arc::new(memory_size_array), + Arc::new(cache_type_array), + Arc::new(file_path_array), + Arc::new(reference_count_array), + ], + )?) + } + + #[allow(clippy::too_many_arguments)] + fn append_entry( + &mut self, + file_path: &str, + row_group_id: u64, + column_id: u64, + row_start_id: u64, + row_count: Option, + memory_size: u64, + cache_type: &str, + reference_count: u64, + ) -> Result<(), ParquetError> { + self.row_group_id_builder.append_value(row_group_id); + self.column_id_builder.append_value(column_id); + self.row_start_id_builder.append_value(row_start_id); + self.row_count_builder.append_option(row_count); + self.memory_size_builder.append_value(memory_size); + self.cache_type_builder.append_value(cache_type); + self.reference_count_builder.append_value(reference_count); + self.file_path_builder.append_value(file_path); + if self.row_start_id_builder.len() >= 8192 { + let batch = self.build_batch()?; + self.writer.write(&batch)?; + } + Ok(()) + } + + fn finish(mut self) -> Result<(), ParquetError> { + let batch = self.build_batch()?; + self.writer.write(&batch)?; + self.writer.close()?; + Ok(()) + } +} + +impl LiquidCacheParquet { + /// Get the memory usage of the cache in bytes. + pub fn compute_memory_usage_bytes(&self) -> u64 { + self.cache_store.budget().memory_usage_bytes() as u64 + } + + /// Write the stats of the cache to a parquet file. + pub fn write_stats(&self, parquet_file_path: impl AsRef) -> Result<(), ParquetError> { + let mut writer = StatsWriter::new(parquet_file_path)?; + self.cache_store.for_each_entry(|entry_id, cached_batch| { + let memory_size = cached_batch.memory_usage_bytes(); + let row_count = match cached_batch { + CacheEntry::MemoryArrow(array) => Some(array.len() as u64), + CacheEntry::MemoryLiquid(array) => Some(array.len() as u64), + }; + let cache_type = match cached_batch { + CacheEntry::MemoryArrow(_) => "InMemory", + CacheEntry::MemoryLiquid(_) => "LiquidMemory", + }; + let reference_count = cached_batch.reference_count(); + let entry_id = ParquetArrayID::from(*entry_id); + writer + .append_entry( + &entry_id.display_path(), + entry_id.row_group_id_inner(), + entry_id.column_id_inner(), + entry_id.batch_id_inner() * self.batch_size() as u64, + row_count, + memory_size as u64, + cache_type, + reference_count as u64, + ) + .unwrap(); + }); + + writer.finish()?; + Ok(()) + } +} + +#[cfg(test)] +mod tests { + use std::io::Read; + + use crate::cache::id::BatchID; + + use super::*; + use arrow::{ + array::{Array, AsArray}, + datatypes::UInt64Type, + }; + use bytes::Bytes; + use liquid_cache::{cache::Evict, cache_policies::LiquidPolicy}; + use parquet::arrow::arrow_reader::ParquetRecordBatchReader; + use tempfile::NamedTempFile; + + #[test] + fn test_stats_writer() -> Result<(), ParquetError> { + let cache = LiquidCacheParquet::new( + 1024, + usize::MAX, + Box::new(LiquidPolicy::new()), + Box::new(Evict), + ); + let fields: Vec = (0..8) + .map(|i| Field::new(format!("test_{i}"), DataType::Int32, false)) + .collect(); + let schema = Arc::new(Schema::new(fields)); + let array = Arc::new(arrow::array::Int32Array::from(vec![1, 2, 3])); + let num_rows = 8 * 8 * 8 * 8; + + let mut row_group_id_sum = 0; + let mut column_id_sum = 0; + let mut row_start_id_sum = 0; + let mut row_count_sum = 0; + let mut memory_size_sum = 0; + for file_no in 0..8 { + let file_name = format!("test_{file_no}.parquet"); + let file = cache.register_or_get_file(file_name, schema.clone()); + for rg in 0..8 { + // Mark all columns as predicate columns so inserts are accepted. + let row_group = file.create_row_group(rg, (0..8).collect()); + for col in 0..8 { + let column = row_group.get_column(col).unwrap(); + for batch in 0..8 { + let batch_id = BatchID::from_raw(batch); + assert!(column.insert(batch_id, array.clone()).is_ok()); + row_group_id_sum += rg; + column_id_sum += col; + row_start_id_sum += *batch_id as u64 * cache.batch_size() as u64; + row_count_sum += array.len() as u64; + memory_size_sum += array.get_array_memory_size(); + + if batch.is_multiple_of(2) { + _ = column.get_arrow_array_test_only(batch_id).unwrap(); + } + } + } + } + } + + let mut tmp_file = NamedTempFile::new()?; + cache.write_stats(tmp_file.path())?; + + // Read and verify stats + let mut bytes = Vec::new(); + tmp_file.read_to_end(&mut bytes)?; + let bytes = Bytes::from(bytes); + let reader = ParquetRecordBatchReader::try_new(bytes, 8192)?; + + let batch = reader.into_iter().next().unwrap()?; + assert_eq!(batch.num_rows(), num_rows); + + macro_rules! uint64_col { + ($batch:expr, $col_idx:expr) => { + $batch + .column_by_name($col_idx) + .unwrap() + .as_primitive::() + }; + } + + let row_group_id_array = uint64_col!(batch, "row_group_id"); + let column_id_array = uint64_col!(batch, "column_id"); + let row_start_id_array = uint64_col!(batch, "row_start_id"); + let row_count_array = uint64_col!(batch, "row_count"); + let memory_size_array = uint64_col!(batch, "memory_size"); + + assert_eq!( + row_group_id_array.iter().map(|v| v.unwrap()).sum::(), + row_group_id_sum + ); + assert_eq!( + column_id_array.iter().map(|v| v.unwrap()).sum::(), + column_id_sum + ); + assert_eq!( + row_start_id_array.iter().map(|v| v.unwrap()).sum::(), + row_start_id_sum + ); + assert_eq!( + row_count_array.iter().map(|v| v.unwrap()).sum::(), + row_count_sum + ); + assert_eq!( + memory_size_array.iter().map(|v| v.unwrap()).sum::(), + memory_size_sum as u64 + ); + + Ok(()) + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/lib.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/lib.rs new file mode 100644 index 0000000000000..2c7356525d901 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/lib.rs @@ -0,0 +1,24 @@ +// SPDX-License-Identifier: Apache-2.0 +// Vendored in-memory subset of liquid-cache DataFusion integration. See ../README.md for provenance. + +//! DataFusion integration for the vendored in-memory liquid cache: +//! a Parquet [`FileSource`](datafusion::datasource::physical_plan::FileSource) +//! replacement that serves decoded batches from the cache, plus a physical +//! optimizer rule that rewrites `ParquetSource` scans to use it. +#![warn(missing_docs)] + +pub mod optimizers; +mod reader; +mod sync; +pub(crate) mod utils; + +pub mod cache; +pub use cache::{LiquidCacheParquet, LiquidCacheParquetRef}; +pub use optimizers::{LocalModeOptimizer, rewrite_data_source_plan}; +pub use reader::plantime::engagement_policy::{ + AlwaysEngagePolicy, CacheEngagementPolicy, DEFAULT_SELECTIVITY_THRESHOLD, EngagementContext, + EngagementDecision, NeverEngagePolicy, SelectivityThresholdPolicy, default_engagement_policy, +}; +pub use reader::plantime::source::pre_seed_metadata_cache; +pub use reader::{FilterCandidateBuilder, LiquidParquetSource, LiquidPredicate, LiquidRowFilter}; +pub use utils::boolean_buffer_and_then; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/optimizers/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/optimizers/mod.rs new file mode 100644 index 0000000000000..95896c6dc7993 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/optimizers/mod.rs @@ -0,0 +1,314 @@ +//! Optimizers for the Parquet module + +use std::sync::Arc; + +use datafusion::{ + catalog::memory::DataSourceExec, + common::tree_node::{Transformed, TreeNode, TreeNodeRecursion}, + config::ConfigOptions, + datasource::{ + physical_plan::{FileSource, ParquetSource}, + source::DataSource, + }, + physical_optimizer::PhysicalOptimizerRule, + physical_plan::ExecutionPlan, +}; + +use crate::{LiquidCacheParquetRef, LiquidParquetSource}; + +/// Physical optimizer rule for local mode liquid cache +/// +/// This optimizer rewrites DataSourceExec nodes that read Parquet files +/// to use LiquidParquetSource instead of the default ParquetSource +#[derive(Debug)] +pub struct LocalModeOptimizer { + cache: LiquidCacheParquetRef, +} + +impl LocalModeOptimizer { + /// Create an optimizer with an existing cache instance + pub fn new(cache: LiquidCacheParquetRef) -> Self { + Self { cache } + } + + /// Create an optimizer with an existing cache instance + pub fn with_cache(cache: LiquidCacheParquetRef) -> Self { + Self { cache } + } +} + +impl PhysicalOptimizerRule for LocalModeOptimizer { + fn optimize( + &self, + plan: Arc, + _config: &ConfigOptions, + ) -> Result, datafusion::error::DataFusionError> { + Ok(rewrite_data_source_plan(plan, &self.cache)) + } + + fn name(&self) -> &str { + "LocalModeLiquidCacheOptimizer" + } + + fn schema_check(&self) -> bool { + true + } +} + +/// Rewrite the data source plan to use liquid cache. +pub fn rewrite_data_source_plan( + plan: Arc, + cache: &LiquidCacheParquetRef, +) -> Arc { + let rewritten = plan + .transform_up(|node| try_optimize_parquet_source(node, cache)) + .unwrap(); + rewritten.data +} + +/// Returns true if a data type is uncacheable by LC (string/binary). +fn is_uncacheable_type(dt: &arrow_schema::DataType) -> bool { + use arrow_schema::DataType; + matches!( + dt, + DataType::Utf8 + | DataType::Utf8View + | DataType::LargeUtf8 + | DataType::Binary + | DataType::BinaryView + | DataType::LargeBinary + ) || matches!(dt, DataType::Dictionary(_, v) if is_uncacheable_type(v)) +} + +/// Max number of output columns for which LC wrapping is worthwhile. +/// Per-column cache overhead exceeds decode savings for wide projections. +const MAX_LC_COLUMNS: usize = 4; + +fn try_optimize_parquet_source( + plan: Arc, + cache: &LiquidCacheParquetRef, +) -> Result>, datafusion::error::DataFusionError> { + if let Some(data_source_exec) = plan.downcast_ref::() + && let Some((file_scan_config, parquet_source)) = + data_source_exec.downcast_to_file_source::() + { + // Skip LC wrapping if: + // - Output has zero columns (COUNT(*) — just needs row count from metadata) + // - Too many output columns (cache overhead exceeds decode savings) + // - ANY output column is string/binary (LC can't cache, fallback negates hits) + // - Predicate references a string column + let output_schema = plan.schema(); + if output_schema.fields().is_empty() { + log::debug!("[LC-Optimizer] SKIP: empty projection (COUNT(*))"); + return Ok(Transformed::no(plan)); + } + + if output_schema.fields().len() > MAX_LC_COLUMNS { + log::debug!( + "[LC-Optimizer] SKIP: too many columns ({} > {})", + output_schema.fields().len(), + MAX_LC_COLUMNS + ); + return Ok(Transformed::no(plan)); + } + + let has_string_output = output_schema + .fields() + .iter() + .any(|f| is_uncacheable_type(f.data_type())); + + let predicate_has_string = parquet_source.filter().is_some_and(|pred| { + use datafusion::physical_expr::utils::collect_columns; + let file_schema = file_scan_config.file_schema(); + let cols = collect_columns(&pred); + cols.iter().any(|col| { + file_schema + .fields() + .get(col.index()) + .is_some_and(|f| is_uncacheable_type(f.data_type())) + }) + }); + + if has_string_output || predicate_has_string { + log::debug!( + "[LC-Optimizer] SKIP: string_in_output={}, string_in_predicate={}, output_cols={}", + has_string_output, + predicate_has_string, + output_schema.fields().len() + ); + return Ok(Transformed::no(plan)); + } + + let num_fields = output_schema.fields().len(); + let has_predicate = parquet_source.filter().is_some(); + log::debug!( + "[LC-Optimizer] WRAP: all {} output columns cacheable, predicate={}", + num_fields, + has_predicate + ); + + let mut new_config = file_scan_config.clone(); + let new_source = + LiquidParquetSource::from_parquet_source(parquet_source.clone(), cache.clone()); + + new_config.file_source = Arc::new(new_source); + let new_file_source: Arc = Arc::new(new_config); + let new_plan = Arc::new(DataSourceExec::new(new_file_source)); + + return Ok(Transformed::new( + new_plan, + true, + TreeNodeRecursion::Continue, + )); + } + Ok(Transformed::no(plan)) +} + +#[cfg(test)] +mod tests { + use arrow::array::{Int32Array, RecordBatch, StringArray}; + use arrow_schema::{DataType, Field, Schema}; + use datafusion::{datasource::physical_plan::FileScanConfig, prelude::SessionContext}; + use liquid_cache::{cache::TranscodeEvict, cache_policies::LiquidPolicy}; + use parquet::arrow::ArrowWriter; + + use crate::LiquidCacheParquet; + + use super::*; + + fn test_cache() -> LiquidCacheParquetRef { + Arc::new(LiquidCacheParquet::new( + 8192, + 1_000_000, + Box::new(LiquidPolicy::new()), + Box::new(TranscodeEvict), + )) + } + + /// Write a small parquet file with numeric and string columns. + fn write_test_parquet(dir: &std::path::Path) -> String { + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + Field::new("c", DataType::Int32, false), + Field::new("d", DataType::Int32, false), + Field::new("e", DataType::Int32, false), + Field::new("s", DataType::Utf8, false), + ])); + let batch = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![1, 2, 3, 4])), + Arc::new(Int32Array::from(vec![10, 20, 30, 40])), + Arc::new(Int32Array::from(vec![100, 200, 300, 400])), + Arc::new(Int32Array::from(vec![5, 6, 7, 8])), + Arc::new(Int32Array::from(vec![50, 60, 70, 80])), + Arc::new(StringArray::from(vec!["w", "x", "y", "z"])), + ], + ) + .unwrap(); + let path = dir.join("data.parquet"); + let file = std::fs::File::create(&path).unwrap(); + let mut writer = ArrowWriter::try_new(file, schema, None).unwrap(); + writer.write(&batch).unwrap(); + writer.close().unwrap(); + path.to_string_lossy().into_owned() + } + + fn count_sources(plan: &Arc) -> (usize, usize) { + let mut liquid = 0; + let mut parquet = 0; + plan.apply(|node| { + if let Some(exec) = node.downcast_ref::() { + let data_source = exec.data_source(); + if let Some(config) = data_source.downcast_ref::() { + let file_source = config.file_source(); + if file_source.downcast_ref::().is_some() { + liquid += 1; + } else if file_source.downcast_ref::().is_some() { + parquet += 1; + } + } + } + Ok(TreeNodeRecursion::Continue) + }) + .unwrap(); + (liquid, parquet) + } + + async fn plan_for_sql(sql: &str, path: &str) -> Arc { + let ctx = SessionContext::new(); + ctx.register_parquet("t", path, Default::default()) + .await + .unwrap(); + let df = ctx.sql(sql).await.unwrap(); + df.create_physical_plan().await.unwrap() + } + + #[tokio::test] + async fn test_plan_rewrite_wraps_numeric_scan() { + let tmp_dir = tempfile::tempdir().unwrap(); + let path = write_test_parquet(tmp_dir.path()); + let plan = plan_for_sql("SELECT a, b FROM t WHERE a > 1", &path).await; + let expected_schema = plan.schema(); + + let rewritten = rewrite_data_source_plan(plan, &test_cache()); + + let (liquid, parquet) = count_sources(&rewritten); + assert_eq!(liquid, 1); + assert_eq!(parquet, 0); + assert_eq!(rewritten.schema(), expected_schema); + } + + #[tokio::test] + async fn test_plan_rewrite_skips_string_output() { + let tmp_dir = tempfile::tempdir().unwrap(); + let path = write_test_parquet(tmp_dir.path()); + let plan = plan_for_sql("SELECT a, s FROM t WHERE a > 1", &path).await; + + let rewritten = rewrite_data_source_plan(plan, &test_cache()); + + let (liquid, parquet) = count_sources(&rewritten); + assert_eq!(liquid, 0); + assert_eq!(parquet, 1); + } + + #[tokio::test] + async fn test_plan_rewrite_skips_string_predicate() { + let tmp_dir = tempfile::tempdir().unwrap(); + let path = write_test_parquet(tmp_dir.path()); + let plan = plan_for_sql("SELECT a, b FROM t WHERE s = 'x'", &path).await; + + let rewritten = rewrite_data_source_plan(plan, &test_cache()); + + let (liquid, parquet) = count_sources(&rewritten); + assert_eq!(liquid, 0); + assert_eq!(parquet, 1); + } + + #[tokio::test] + async fn test_plan_rewrite_skips_wide_projection() { + let tmp_dir = tempfile::tempdir().unwrap(); + let path = write_test_parquet(tmp_dir.path()); + // 5 numeric columns > MAX_LC_COLUMNS (4) + let plan = plan_for_sql("SELECT a, b, c, d, e FROM t", &path).await; + + let rewritten = rewrite_data_source_plan(plan, &test_cache()); + + let (liquid, parquet) = count_sources(&rewritten); + assert_eq!(liquid, 0); + assert_eq!(parquet, 1); + } + + #[tokio::test] + async fn test_plan_rewrite_skips_empty_projection() { + let tmp_dir = tempfile::tempdir().unwrap(); + let path = write_test_parquet(tmp_dir.path()); + let plan = plan_for_sql("SELECT COUNT(*) FROM t", &path).await; + + let rewritten = rewrite_data_source_plan(plan, &test_cache()); + + let (liquid, _parquet) = count_sources(&rewritten); + assert_eq!(liquid, 0); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/mod.rs new file mode 100644 index 0000000000000..ac32eac7ebdd9 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/mod.rs @@ -0,0 +1,6 @@ +pub mod plantime; +mod runtime; +mod utils; + +pub use plantime::{FilterCandidateBuilder, LiquidParquetSource, LiquidPredicate, LiquidRowFilter}; +pub(crate) use runtime::extract_multi_column_or; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/engagement_policy.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/engagement_policy.rs new file mode 100644 index 0000000000000..e8b2428777431 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/engagement_policy.rs @@ -0,0 +1,95 @@ +//! Cache engagement policy — decides per-file whether LC should serve +//! decoded batches from cache or delegate to plain parquet. + +use std::fmt::Debug; +use std::sync::Arc; + +/// Context passed to the policy at file-open time. +#[derive(Debug, Clone)] +pub struct EngagementContext { + /// Fraction of rows surviving RG + page pruning (0.0–1.0). + pub estimated_selectivity: f64, + /// Whether the query has a pushdown predicate on this file. + pub has_predicate: bool, + /// Total rows across selected row groups. + pub total_rows: usize, + /// Rows that survived pruning. + pub selected_rows: usize, + /// File path for logging. + pub file_path: String, +} + +/// Decision returned by the policy. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub enum EngagementDecision { + /// Serve decoded batches from cache, fill on miss. + UseLiquidCache, + /// Bypass LC, delegate to plain parquet reader. + DelegateToParquet, +} + +/// Decides per-file whether Liquid Cache should engage or delegate. +pub trait CacheEngagementPolicy: Send + Sync + Debug { + /// Decide whether to use LC or delegate to plain parquet for this file. + fn decide(&self, ctx: &EngagementContext) -> EngagementDecision; +} + +/// Default selectivity threshold below which LC delegates to parquet. +pub const DEFAULT_SELECTIVITY_THRESHOLD: f64 = 0.5; + +/// Delegate when selectivity < threshold AND a predicate exists. +#[derive(Debug, Clone)] +pub struct SelectivityThresholdPolicy { + /// Selectivity below which LC delegates to plain parquet. + pub threshold: f64, +} + +impl Default for SelectivityThresholdPolicy { + fn default() -> Self { + Self { + threshold: DEFAULT_SELECTIVITY_THRESHOLD, + } + } +} + +impl SelectivityThresholdPolicy { + /// Create a policy with the given selectivity threshold. + pub fn new(threshold: f64) -> Self { + Self { threshold } + } +} + +impl CacheEngagementPolicy for SelectivityThresholdPolicy { + fn decide(&self, ctx: &EngagementContext) -> EngagementDecision { + if ctx.estimated_selectivity < self.threshold && ctx.has_predicate { + EngagementDecision::DelegateToParquet + } else { + EngagementDecision::UseLiquidCache + } + } +} + +/// Always use LC regardless of selectivity. +#[derive(Debug, Clone)] +pub struct AlwaysEngagePolicy; + +impl CacheEngagementPolicy for AlwaysEngagePolicy { + fn decide(&self, _ctx: &EngagementContext) -> EngagementDecision { + EngagementDecision::UseLiquidCache + } +} + +/// Never use LC — always delegate to plain parquet. +#[derive(Debug, Clone)] +pub struct NeverEngagePolicy; + +impl CacheEngagementPolicy for NeverEngagePolicy { + fn decide(&self, _ctx: &EngagementContext) -> EngagementDecision { + EngagementDecision::DelegateToParquet + } +} + +/// Returns the default engagement policy. +pub fn default_engagement_policy() -> Arc { + Arc::new(SelectivityThresholdPolicy::default()) +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/mod.rs new file mode 100644 index 0000000000000..0f22e9ae5be9a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/mod.rs @@ -0,0 +1,12 @@ +#[cfg(test)] +pub(crate) use source::CachedMetaReaderFactory; +pub use source::LiquidParquetSource; +pub(crate) use source::ParquetMetadataCacheReader; + +pub mod engagement_policy; +mod opener; +mod row_filter; +mod row_group_filter; +pub mod source; + +pub use row_filter::{FilterCandidateBuilder, LiquidPredicate, LiquidRowFilter}; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/opener.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/opener.rs new file mode 100644 index 0000000000000..af0fac5393811 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/opener.rs @@ -0,0 +1,509 @@ +use std::sync::Arc; + +use crate::{ + cache::LiquidCacheParquetRef, + reader::{ + plantime::{ + engagement_policy::{CacheEngagementPolicy, EngagementContext, EngagementDecision}, + row_filter::build_row_filter, + row_group_filter::RowGroupAccessPlanFilter, + }, + runtime::LiquidStreamBuilder, + }, +}; +use arrow::array::{RecordBatch, RecordBatchOptions}; +use arrow_schema::SchemaRef; +use datafusion::{ + common::exec_err, + datasource::{ + listing::PartitionedFile, + physical_plan::{ + FileOpenFuture, FileOpener, ParquetFileMetrics, ParquetFileReaderFactory, + parquet::{PagePruningAccessPlanFilter, ParquetAccessPlan}, + }, + table_schema::TableSchema, + }, + error::DataFusionError, + physical_expr::PhysicalExprSimplifier, + physical_expr::projection::ProjectionExprs, + physical_expr::utils::reassign_expr_columns, + physical_expr_adapter::{PhysicalExprAdapterFactory, replace_columns_with_literals}, + physical_expr_common::physical_expr::is_dynamic_physical_expr, + physical_optimizer::pruning::{FilePruner, PruningPredicate, build_pruning_predicate}, + physical_plan::{ + PhysicalExpr, + metrics::{Count, ExecutionPlanMetricsSet, MetricBuilder}, + }, +}; +use futures::StreamExt; +use futures::TryStreamExt; +use log::debug; +use parquet::arrow::{ + ParquetRecordBatchStreamBuilder, ProjectionMask, + arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}, +}; +use parquet::file::metadata::ParquetMetaData; + +use super::source::CachedMetaReaderFactory; + +pub struct LiquidParquetOpener { + partition_index: usize, + projection: ProjectionExprs, + batch_size: usize, + limit: Option, + predicate: Option>, + table_schema: TableSchema, + metrics: ExecutionPlanMetricsSet, + parquet_file_reader_factory: Arc, + reorder_filters: bool, + liquid_cache: LiquidCacheParquetRef, + expr_adapter_factory: Arc, + /// Optional caller-provided reader factory with pre-loaded metadata. + caller_reader_factory: Option>, + /// Policy that decides whether to use LC stream or delegate to parquet. + engagement_policy: Arc, +} + +impl LiquidParquetOpener { + #[allow(clippy::too_many_arguments)] + pub fn new( + partition_index: usize, + projection: ProjectionExprs, + batch_size: usize, + limit: Option, + predicate: Option>, + table_schema: TableSchema, + metrics: ExecutionPlanMetricsSet, + liquid_cache: LiquidCacheParquetRef, + parquet_file_reader_factory: Arc, + reorder_filters: bool, + expr_adapter_factory: Arc, + caller_reader_factory: Option>, + engagement_policy: Arc, + ) -> Self { + Self { + partition_index, + projection, + batch_size, + limit, + predicate, + table_schema, + metrics, + liquid_cache, + parquet_file_reader_factory, + reorder_filters, + expr_adapter_factory, + caller_reader_factory, + engagement_policy, + } + } +} + +impl FileOpener for LiquidParquetOpener { + fn open(&self, partitioned_file: PartitionedFile) -> Result { + let file_range = partitioned_file.range.clone(); + let access_plan_ext = partitioned_file.extensions.get_arc::(); + let file_name = partitioned_file.object_meta.location.to_string(); + let file_metrics = ParquetFileMetrics::new(self.partition_index, &file_name, &self.metrics); + + let metadata_size_hint = partitioned_file.metadata_size_hint; + let has_predicate = self.predicate.is_some(); + log::debug!( + "[LC-Opener] open file={}, predicate={}, batch_size={}, limit={:?}", + file_name, + has_predicate, + self.batch_size, + self.limit + ); + + let lc = self.liquid_cache.clone(); + let file_loc = partitioned_file.object_meta.location.to_string(); + + // If caller provided a reader factory with pre-loaded metadata, create + // a reader from it. We'll use this for get_metadata() to avoid refetching. + let caller_metadata_reader = self.caller_reader_factory.as_ref().and_then(|factory| { + factory + .create_reader( + self.partition_index, + partitioned_file.clone(), + metadata_size_hint, + &self.metrics, + ) + .ok() + }); + + let mut async_file_reader = self.parquet_file_reader_factory.create_liquid_reader( + self.partition_index, + partitioned_file.clone(), + metadata_size_hint, + &self.metrics, + ); + + let batch_size = self.batch_size; + let logical_file_schema = Arc::clone(self.table_schema.file_schema()); + let output_schema = Arc::new( + self.projection + .project_schema(self.table_schema.table_schema())?, + ); + let mut projection = self.projection.clone(); + let mut predicate = self.predicate.clone(); + let mut literal_columns = std::collections::HashMap::new(); + for (field, value) in self + .table_schema + .table_partition_cols() + .iter() + .zip(partitioned_file.partition_values.iter()) + { + literal_columns.insert(field.name().clone(), value.clone()); + } + if !literal_columns.is_empty() { + projection = projection.try_map_exprs(|expr| { + replace_columns_with_literals(Arc::clone(&expr), &literal_columns) + })?; + predicate = predicate + .map(|p| replace_columns_with_literals(p, &literal_columns)) + .transpose()?; + } + let reorder_predicates = self.reorder_filters; + let limit = self.limit; + + let predicate_creation_errors = + MetricBuilder::new(&self.metrics).global_counter("num_predicate_creation_errors"); + + let expr_adapter_factory = Arc::clone(&self.expr_adapter_factory); + let engagement_policy = Arc::clone(&self.engagement_policy); + Ok(Box::pin(async move { + // Prune this file using the file level statistics and partition values. + // Since dynamic filters may have been updated since planning it is possible that we are able + // to prune files now that we couldn't prune at planning time. + // It is assumed that there is no point in doing pruning here if the predicate is not dynamic, + // as it would have been done at planning time. + // We'll also check this after every record batch we read, + // and if at some point we are able to prove we can prune the file using just the file level statistics + // we can end the stream early. + let mut file_pruner = predicate + .as_ref() + .filter(|p| is_dynamic_physical_expr(p) || partitioned_file.has_statistics()) + .and_then(|p| { + FilePruner::try_new( + Arc::clone(p), + &logical_file_schema, + &partitioned_file, + predicate_creation_errors.clone(), + ) + }); + + if let Some(file_pruner) = &mut file_pruner + && file_pruner.should_prune()? + { + file_metrics.files_ranges_pruned_statistics.add_pruned(1); + return Ok(futures::stream::empty().boxed()); + } + + file_metrics.files_ranges_pruned_statistics.add_matched(1); + + let options = ArrowReaderOptions::new() + .with_page_index_policy(parquet::file::metadata::PageIndexPolicy::Required); + let mut metadata_timer = file_metrics.metadata_load_time.timer(); + + // Try to get metadata from caller's pre-loaded reader first (instant). + // Fall back to loading from the object store if not available. + let reader_metadata = if let Some(mut caller_reader) = caller_metadata_reader { + match caller_reader.get_metadata(Some(&options)).await { + Ok(meta) => { + log::debug!("[LC-Meta] REUSE from caller factory: {}", file_name); + ArrowReaderMetadata::try_new(meta, options.clone())? + } + Err(_) => { + log::debug!( + "[LC-Meta] caller factory failed, loading from store: {}", + file_name + ); + ArrowReaderMetadata::load_async(&mut async_file_reader, options.clone()) + .await? + } + } + } else { + ArrowReaderMetadata::load_async(&mut async_file_reader, options.clone()).await? + }; + + // Note about schemas: we are actually dealing with **3 different schemas** here: + // - The table schema as defined by the TableProvider. + // This is what the user sees, what they get when they `SELECT * FROM table`, etc. + // - The logical file schema: this is the table schema minus any hive partition columns and projections. + // This is what the physical file schema is coerced to. + // - The physical file schema: this is the schema as defined by the parquet file. This is what the parquet file actually contains. + let physical_file_schema = Arc::clone(reader_metadata.schema()); + let cache_full_schema = Arc::clone(&physical_file_schema); + + let rewriter = expr_adapter_factory.create( + Arc::clone(&logical_file_schema), + Arc::clone(&physical_file_schema), + )?; + let simplifier = PhysicalExprSimplifier::new(&physical_file_schema); + predicate = predicate + .map(|p| simplifier.simplify(rewriter.rewrite(p)?)) + .transpose()?; + projection = projection.try_map_exprs(|p| simplifier.simplify(rewriter.rewrite(p)?))?; + + let (pruning_predicate, page_pruning_predicate) = build_pruning_predicates( + predicate.as_ref(), + &physical_file_schema, + &predicate_creation_errors, + ); + + metadata_timer.stop(); + + let mut builder = ParquetRecordBatchStreamBuilder::new_with_metadata( + async_file_reader.clone(), + reader_metadata.clone(), + ); + let indices = projection.column_indices(); + let mask = ProjectionMask::roots(builder.parquet_schema(), indices); + + // Filter pushdown: evaluate predicates during scan + let row_filter = predicate.as_ref().and_then(|p| { + let row_filter = build_row_filter( + p, + &physical_file_schema, + reader_metadata.metadata(), + reorder_predicates, + &file_metrics, + ); + + match row_filter { + Ok(Some(filter)) => Some(filter), + Ok(None) => None, + Err(e) => { + debug!("Ignoring error building row filter for '{predicate:?}': {e:?}"); + None + } + } + }); + + // Determine which row groups to actually read. The idea is to skip + // as many row groups as possible based on the metadata and query + let file_metadata: Arc = Arc::clone(builder.metadata()); + let predicate = pruning_predicate.as_ref().map(|p| p.as_ref()); + let rg_metadata = file_metadata.row_groups(); + // track which row groups to actually read + let access_plan = create_initial_plan(&file_name, access_plan_ext, rg_metadata.len())?; + let mut row_groups = RowGroupAccessPlanFilter::new(access_plan); + // if there is a range restricting what parts of the file to read + if let Some(range) = file_range.as_ref() { + row_groups.prune_by_range(rg_metadata, range); + } + // If there is a predicate that can be evaluated against the metadata + if let Some(predicate) = predicate.as_ref() { + row_groups.prune_by_statistics( + &physical_file_schema, + builder.parquet_schema(), + rg_metadata, + predicate, + &file_metrics, + ); + + if !row_groups.is_empty() { + row_groups + .prune_by_bloom_filters( + &physical_file_schema, + &mut builder, + predicate, + &file_metrics, + ) + .await; + } + } + + let mut access_plan = row_groups.build(); + + // page index pruning: if all data on individual pages can + // be ruled using page metadata, rows from other columns + // with that range can be skipped as well + if !access_plan.is_empty() + && let Some(p) = page_pruning_predicate + { + access_plan = p.prune_plan_with_page_index( + access_plan, + &physical_file_schema, + builder.parquet_schema(), + file_metadata.as_ref(), + &file_metrics, + ); + } + + let row_group_indexes = access_plan.row_group_indexes(); + + // Early exit: if all row groups were pruned, return empty stream + if row_group_indexes.is_empty() { + log::debug!("[LC-Opener] EMPTY: all RGs pruned, file={}", file_name); + return Ok(futures::stream::empty().boxed()); + } + + let row_selection = access_plan.into_overall_row_selection(rg_metadata)?; + + // Estimate selectivity from row_selection: how many rows survived + // RG pruning + page index pruning vs total rows in selected RGs. + let total_rows: usize = row_group_indexes + .iter() + .map(|&idx| rg_metadata[idx].num_rows() as usize) + .sum(); + let selected_rows = row_selection + .as_ref() + .map(|sel| sel.row_count()) + .unwrap_or(total_rows); + let estimated_selectivity = if total_rows > 0 { + selected_rows as f64 / total_rows as f64 + } else { + 1.0 + }; + + // If selectivity is low (few rows match), the decode cost is already + // minimal — LC cache overhead would dominate for negligible savings. + // Delegate to plain parquet for fast pass-through. + // For high selectivity (most rows match = lots of decode), LC cache + // saves significant decode work on warm iterations. + let engagement_ctx = EngagementContext { + estimated_selectivity, + has_predicate: predicate.is_some(), + total_rows, + selected_rows, + file_path: file_name.clone(), + }; + + match engagement_policy.decide(&engagement_ctx) { + EngagementDecision::DelegateToParquet => { + log::debug!( + "[LC-Opener] DELEGATE to plain parquet: selectivity={:.3}, file={}", + estimated_selectivity, + file_name + ); + let mut plain_builder = ParquetRecordBatchStreamBuilder::new_with_metadata( + async_file_reader, + reader_metadata, + ) + .with_batch_size(batch_size) + .with_projection(mask) + .with_row_groups(row_group_indexes); + + if let Some(sel) = row_selection { + plain_builder = plain_builder.with_row_selection(sel); + } + if let Some(lim) = limit { + plain_builder = plain_builder.with_limit(lim); + } + + let stream = plain_builder.build()?; + let adapted = stream.map_err(|e| DataFusionError::External(Box::new(e))); + return Ok(adapted.boxed()); + } + EngagementDecision::UseLiquidCache => { + log::debug!( + "[LC-Opener] LC STREAM: selectivity={:.3}, predicate={}, file={}", + estimated_selectivity, + predicate.is_some(), + file_name + ); + } + } + + let mut liquid_builder = + LiquidStreamBuilder::new(async_file_reader, Arc::clone(reader_metadata.metadata())) + .with_batch_size(batch_size) + .with_row_groups(row_group_indexes) + .with_projection(mask) + .with_selection(row_selection) + .with_limit(limit); + + if let Some(row_filter) = row_filter { + liquid_builder = liquid_builder.with_row_filter(row_filter); + } + + let liquid_cache = lc.register_or_get_file(file_loc, Arc::clone(&cache_full_schema)); + + let stream = liquid_builder.build(liquid_cache)?; + + let stream_schema = Arc::clone(stream.schema()); + let replace_schema = !stream_schema.eq(&output_schema); + let projection = + projection.try_map_exprs(|expr| reassign_expr_columns(expr, &stream_schema))?; + let projector = projection.make_projector(&stream_schema)?; + + let adapted = stream + .map_err(|e| DataFusionError::External(Box::new(e))) + .map(move |batch| { + batch.and_then(|batch| { + let batch = projector.project_batch(&batch)?; + if replace_schema { + let (_schema, arrays, num_rows) = batch.into_parts(); + let options = RecordBatchOptions::new().with_row_count(Some(num_rows)); + RecordBatch::try_new_with_options( + Arc::clone(&output_schema), + arrays, + &options, + ) + .map_err(Into::into) + } else { + Ok(batch) + } + }) + }); + + Ok(adapted.boxed()) + })) + } +} + +fn create_initial_plan( + file_name: &str, + access_plan: Option>, + row_group_count: usize, +) -> Result { + if let Some(access_plan) = access_plan { + let plan_len = access_plan.len(); + if plan_len != row_group_count { + return exec_err!( + "Invalid ParquetAccessPlan for {file_name}. Specified {plan_len} row groups, but file has {row_group_count}" + ); + } + + // check row group count matches the plan + return Ok(access_plan.as_ref().clone()); + } + + // default to scanning all row groups + Ok(ParquetAccessPlan::new_all(row_group_count)) +} + +pub(crate) fn build_pruning_predicates( + predicate: Option<&Arc>, + file_schema: &SchemaRef, + predicate_creation_errors: &Count, +) -> ( + Option>, + Option>, +) { + let Some(predicate) = predicate.as_ref() else { + return (None, None); + }; + let pruning_predicate = build_pruning_predicate( + Arc::clone(predicate), + file_schema, + predicate_creation_errors, + ); + let page_pruning_predicate = build_page_pruning_predicate(predicate, file_schema); + (pruning_predicate, Some(page_pruning_predicate)) +} + +/// Build a page pruning predicate from an optional predicate expression. +/// If the predicate is None or the predicate cannot be converted to a page pruning +/// predicate, return None. +pub(crate) fn build_page_pruning_predicate( + predicate: &Arc, + file_schema: &SchemaRef, +) -> Arc { + Arc::new(PagePruningAccessPlanFilter::new( + predicate, + Arc::clone(file_schema), + )) +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_filter.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_filter.rs new file mode 100644 index 0000000000000..fe9c5ea16246c --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_filter.rs @@ -0,0 +1,515 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +//! Utilities to push down of DataFusion filter predicates (any DataFusion +//! `PhysicalExpr` that evaluates to a [`BooleanArray`]) to the parquet decoder +//! level in `arrow-rs`. +//! +//! DataFusion will use a `ParquetRecordBatchStream` to read data from parquet +//! into [`RecordBatch`]es. +//! +//! The `ParquetRecordBatchStream` takes an optional `RowFilter` which is itself +//! a Vec of `Box`. During decoding, the predicates are +//! evaluated in order, to generate a mask which is used to avoid decoding rows +//! in projected columns which do not pass the filter which can significantly +//! reduce the amount of compute required for decoding and thus improve query +//! performance. +//! +//! Since the predicates are applied serially in the order defined in the +//! `RowFilter`, the optimal ordering depends on the exact filters. The best +//! filters to execute first have two properties: +//! +//! 1. They are relatively inexpensive to evaluate (e.g. they read +//! column chunks which are relatively small) +//! +//! 2. They filter many (contiguous) rows, reducing the amount of decoding +//! required for subsequent filters and projected columns +//! +//! If requested, this code will reorder the filters based on heuristics try and +//! reduce the evaluation cost. +//! +//! The basic algorithm for constructing the `RowFilter` is as follows +//! +//! 1. Break conjunctions into separate predicates. An expression +//! like `a = 1 AND (b = 2 AND c = 3)` would be +//! separated into the expressions `a = 1`, `b = 2`, and `c = 3`. +//! 2. Determine whether each predicate can be evaluated as an `ArrowPredicate`. +//! 3. Determine, for each predicate, the total compressed size of all +//! columns required to evaluate the predicate. +//! 4. Determine, for each predicate, whether all columns required to +//! evaluate the expression are sorted. +//! 5. Re-order the predicate by total size (from step 3). +//! 6. Partition the predicates according to whether they are sorted (from step 4) +//! 7. "Compile" each predicate `Expr` to a `DatafusionArrowPredicate`. +//! 8. Build the `RowFilter` with the sorted predicates followed by +//! the unsorted predicates. Within each partition, predicates are +//! still be sorted by size. + +use std::cmp::Ordering; +use std::collections::BTreeSet; +use std::sync::Arc; + +use arrow::array::BooleanArray; +use arrow::datatypes::{DataType, Schema}; +use arrow::error::{ArrowError, Result as ArrowResult}; +use arrow::record_batch::RecordBatch; +use arrow_schema::SchemaRef; +use datafusion::datasource::physical_plan::ParquetFileMetrics; +use datafusion::logical_expr::Operator; +use datafusion::physical_expr::utils::reassign_expr_columns; +use datafusion::physical_plan::expressions::{BinaryExpr, LikeExpr}; +use datafusion::physical_plan::metrics; +use parquet::arrow::ProjectionMask; +use parquet::arrow::arrow_reader::ArrowPredicate; +use parquet::file::metadata::ParquetMetaData; + +use datafusion::common::Result; +use datafusion::common::cast::as_boolean_array; +use datafusion::common::tree_node::{TreeNode, TreeNodeRecursion, TreeNodeVisitor}; +use datafusion::physical_expr::expressions::Column; +use datafusion::physical_expr::{PhysicalExpr, split_conjunction}; + +/// A row filter that can be used to filter rows from a parquet file. +pub struct LiquidRowFilter { + predicates: Vec, +} + +impl LiquidRowFilter { + /// Create a new `LiquidRowFilter` from a vector of `LiquidPredicate`s. + pub fn new(predicates: Vec) -> Self { + Self { predicates } + } + + /// Get the predicates of the `LiquidRowFilter`. + pub fn predicates(&self) -> &[LiquidPredicate] { + &self.predicates + } + + /// Get the predicates of the `LiquidRowFilter` as mutable. + pub fn predicates_mut(&mut self) -> &mut [LiquidPredicate] { + &mut self.predicates + } +} + +pub(crate) fn get_predicate_column_id(projection: &parquet::arrow::ProjectionMask) -> Vec { + #[derive(Debug, Clone)] + struct ProjectionMaskLiquid { + mask: Option>, + } + let project_inner: &ProjectionMaskLiquid = unsafe { std::mem::transmute(projection) }; + project_inner + .mask + .as_ref() + .map(|m| { + m.iter() + .enumerate() + .filter_map(|(pos, &x)| if x { Some(pos) } else { None }) + .collect::>() + }) + .unwrap_or_default() +} + +/// A "compiled" predicate passed to `ParquetRecordBatchStream` to perform +/// row-level filtering during parquet decoding. +/// +/// See the module level documentation for more information. +/// +/// Implements the `ArrowPredicate` trait used by the parquet decoder +/// +/// An expression can be evaluated as a `DatafusionArrowPredicate` if it: +/// * Does not reference any projected columns +/// * Does not reference columns with non-primitive types (e.g. structs / lists) +#[derive(Debug, Clone)] +pub struct LiquidPredicate { + /// the filter expression + physical_expr: Arc, + /// the filter expression without reassigned index + physical_expr_physical_column_index: Arc, + /// Path to the columns in the parquet schema required to evaluate the + /// expression + projection_mask: ProjectionMask, + /// how many rows were filtered out by this predicate + rows_pruned: metrics::Count, + /// how many rows passed this predicate + rows_matched: metrics::Count, + /// how long was spent evaluating this predicate + time: metrics::Time, +} + +impl std::fmt::Display for LiquidPredicate { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + write!(f, "{}", self.physical_expr.as_ref()) + } +} + +impl LiquidPredicate { + /// Create a new `LiquidPredicate` from a `FilterCandidate` + pub fn try_new_with_metrics( + candidate: FilterCandidate, + projection: ProjectionMask, + rows_pruned: metrics::Count, + rows_matched: metrics::Count, + time: metrics::Time, + ) -> Result { + let physical_expr = + reassign_expr_columns(candidate.expr.clone(), &candidate.filter_schema)?; + + Ok(Self { + physical_expr, + physical_expr_physical_column_index: candidate.expr, + projection_mask: projection, + rows_pruned, + rows_matched, + time, + }) + } + + /// Create a new `LiquidPredicate` from a `FilterCandidate` + pub fn try_new(candidate: FilterCandidate, projection: ProjectionMask) -> Result { + Self::try_new_with_metrics( + candidate, + projection, + metrics::Count::new(), + metrics::Count::new(), + metrics::Time::new(), + ) + } + + /// Get the physical expression with physical column index. + pub fn physical_expr_physical_column_index(&self) -> &Arc { + &self.physical_expr_physical_column_index + } + + /// Get the physical expression rewritten to the projected batch schema. + pub fn physical_expr(&self) -> &Arc { + &self.physical_expr + } + + /// Get the column ids of the predicate. + pub fn predicate_column_ids(&self) -> Vec { + let projection = self.projection(); + get_predicate_column_id(projection) + } +} + +impl ArrowPredicate for LiquidPredicate { + fn projection(&self) -> &ProjectionMask { + &self.projection_mask + } + + fn evaluate(&mut self, batch: RecordBatch) -> ArrowResult { + // scoped timer updates on drop + let mut timer = self.time.timer(); + + self.physical_expr + .evaluate(&batch) + .and_then(|v| v.into_array(batch.num_rows())) + .and_then(|array| { + let bool_arr = as_boolean_array(&array)?.clone(); + let num_matched = bool_arr.true_count(); + let num_pruned = bool_arr.len() - num_matched; + self.rows_pruned.add(num_pruned); + self.rows_matched.add(num_matched); + timer.stop(); + Ok(bool_arr) + }) + .map_err(|e| { + ArrowError::ComputeError(format!("Error evaluating filter predicate: {e:?}")) + }) + } +} + +/// A candidate expression for creating a `RowFilter`. +/// +/// Each candidate contains the expression as well as data to estimate the cost +/// of evaluating the resulting expression. +/// +/// See the module level documentation for more information. +pub struct FilterCandidate { + expr: Arc, + required_bytes: usize, + can_use_index: bool, + projection: Vec, + /// The projected file schema that this filter references + filter_schema: SchemaRef, +} + +impl FilterCandidate { + pub fn projection(&self, metadata: &ParquetMetaData) -> ProjectionMask { + ProjectionMask::roots( + metadata.file_metadata().schema_descr(), + self.projection.iter().copied(), + ) + } +} + +/// Helper to build a `FilterCandidate`. +/// +/// This will do several things +/// 1. Determine the columns required to evaluate the expression +/// 2. Calculate data required to estimate the cost of evaluating the filter +pub struct FilterCandidateBuilder { + expr: Arc, + /// The schema of this parquet file. + /// Expressions are already adapted to this schema before row-filter construction. + file_schema: SchemaRef, +} + +impl FilterCandidateBuilder { + /// Create a new `FilterCandidateBuilder` + pub fn new(expr: Arc, file_schema: SchemaRef) -> Self { + Self { expr, file_schema } + } + + /// Attempt to build a `FilterCandidate` from the expression + /// + /// # Return values + /// + /// * `Ok(Some(candidate))` if the expression can be used as an ArrowFilter + /// * `Ok(None)` if the expression cannot be used as an ArrowFilter + /// * `Err(e)` if an error occurs while building the candidate + pub fn build(self, metadata: &ParquetMetaData) -> Result> { + let Some(required_indices_into_file_schema) = + pushdown_columns(&self.expr, &self.file_schema)? + else { + return Ok(None); + }; + + if required_indices_into_file_schema.is_empty() { + return Ok(None); + } + + let projected_file_schema = Arc::new( + self.file_schema + .project(&required_indices_into_file_schema)?, + ); + + let required_bytes = size_of_columns(&required_indices_into_file_schema, metadata)?; + let can_use_index = columns_sorted(&required_indices_into_file_schema, metadata)?; + + Ok(Some(FilterCandidate { + expr: self.expr, + required_bytes, + can_use_index, + projection: required_indices_into_file_schema, + filter_schema: Arc::clone(&projected_file_schema), + })) + } +} + +// a struct that implements TreeNodeRewriter to traverse a PhysicalExpr tree structure to determine +// if any column references in the expression would prevent it from being predicate-pushed-down. +// if non_primitive_columns || projected_columns, it can't be pushed down. +// can't be reused between calls to `rewrite`; each construction must be used only once. +struct PushdownChecker<'schema> { + /// Does the expression require any non-primitive columns (like structs)? + non_primitive_columns: bool, + /// Does the expression reference any columns that are not in the file schema? + projected_columns: bool, + // Indices into the file schema of the columns required to evaluate the expression + required_columns: BTreeSet, + file_schema: &'schema Schema, +} + +impl<'schema> PushdownChecker<'schema> { + fn new(file_schema: &'schema Schema) -> Self { + Self { + non_primitive_columns: false, + projected_columns: false, + required_columns: BTreeSet::default(), + file_schema, + } + } + + fn check_single_column(&mut self, column_name: &str) -> Option { + if let Ok(idx) = self.file_schema.index_of(column_name) { + self.required_columns.insert(idx); + if DataType::is_nested(self.file_schema.field(idx).data_type()) { + self.non_primitive_columns = true; + return Some(TreeNodeRecursion::Jump); + } + } else { + // If the column does not exist in the file schema then it cannot be pushed down. + self.projected_columns = true; + return Some(TreeNodeRecursion::Jump); + } + + None + } + + #[inline] + fn prevents_pushdown(&self) -> bool { + self.non_primitive_columns || self.projected_columns + } +} + +impl TreeNodeVisitor<'_> for PushdownChecker<'_> { + type Node = Arc; + + fn f_down(&mut self, node: &Self::Node) -> Result { + if let Some(column) = node.downcast_ref::() + && let Some(recursion) = self.check_single_column(column.name()) + { + return Ok(recursion); + } + + Ok(TreeNodeRecursion::Continue) + } +} + +// Checks if a given expression can be pushed down into `DataSourceExec` as opposed to being evaluated +// post-parquet-scan in a `FilterExec`. If it can be pushed down, this returns all the +// columns in the given expression so that they can be used in the parquet scanning, along with the +// expression rewritten as defined in [`PushdownChecker::f_up`] +fn pushdown_columns( + expr: &Arc, + file_schema: &Schema, +) -> Result>> { + let mut checker = PushdownChecker::new(file_schema); + expr.visit(&mut checker)?; + Ok((!checker.prevents_pushdown()).then_some(checker.required_columns.into_iter().collect())) +} + +/// Calculate the total compressed size of all `Column`'s required for +/// predicate `Expr`. +/// +/// This value represents the total amount of IO required to evaluate the +/// predicate. +fn size_of_columns(columns: &[usize], metadata: &ParquetMetaData) -> Result { + let mut total_size = 0; + let row_groups = metadata.row_groups(); + for idx in columns { + for rg in row_groups.iter() { + total_size += rg.column(*idx).compressed_size() as usize; + } + } + + Ok(total_size) +} + +/// For a given set of `Column`s required for predicate `Expr` determine whether +/// all columns are sorted. +/// +/// Sorted columns may be queried more efficiently in the presence of +/// a PageIndex. +fn columns_sorted(_columns: &[usize], _metadata: &ParquetMetaData) -> Result { + // TODO How do we know this? + Ok(false) +} + +/// Build a [`LiquidRowFilter`] from the given predicate `Expr` if possible +/// +/// # returns +/// * `Ok(Some(row_filter))` if the expression can be used as RowFilter +/// * `Ok(None)` if the expression cannot be used as an RowFilter +/// * `Err(e)` if an error occurs while building the filter +/// +/// Note that the returned `RowFilter` may not contains all conjuncts in the +/// original expression. This is because some conjuncts may not be able to be +/// evaluated as an `ArrowPredicate` and will be ignored. +/// +/// For example, if the expression is `a = 1 AND b = 2 AND c = 3` and `b = 2` +/// can not be evaluated for some reason, the returned `RowFilter` will contain +/// `a = 1` and `c = 3`. +pub fn build_row_filter( + expr: &Arc, + physical_file_schema: &SchemaRef, + metadata: &ParquetMetaData, + reorder_predicates: bool, + file_metrics: &ParquetFileMetrics, +) -> Result> { + let rows_pruned = &file_metrics.pushdown_rows_pruned; + let rows_matched = &file_metrics.pushdown_rows_matched; + let time = &file_metrics.row_pushdown_eval_time; + + // Split into conjuncts: + // `a = 1 AND b = 2 AND c = 3` -> [`a = 1`, `b = 2`, `c = 3`] + let predicates = split_conjunction(expr); + + // Determine which conjuncts can be evaluated as ArrowPredicates, if any + let mut candidates: Vec = predicates + .into_iter() + .map(|expr| { + FilterCandidateBuilder::new(Arc::clone(expr), physical_file_schema.clone()) + .build(metadata) + }) + .collect::, _>>()? + .into_iter() + .flatten() + .collect(); + + // no candidates + if candidates.is_empty() { + return Ok(None); + } + + if reorder_predicates { + candidates.sort_unstable_by(|c1, c2| match c1.can_use_index.cmp(&c2.can_use_index) { + Ordering::Equal => c1.required_bytes.cmp(&c2.required_bytes), + ord => ord, + }); + } + + candidates.sort_unstable_by(|c1, c2| { + let p1 = get_priority(&c1.expr); + let p2 = get_priority(&c2.expr); + p1.cmp(&p2) + }); + + log::debug!( + "Predicate eval order: {}", + candidates + .iter() + .map(|c| c.expr.as_ref().to_string()) + .collect::>() + .join(", ") + ); + + candidates + .into_iter() + .map(|candidate| { + let projection = ProjectionMask::roots( + metadata.file_metadata().schema_descr(), + candidate.projection.iter().copied(), + ); + LiquidPredicate::try_new_with_metrics( + candidate, + projection, + rows_pruned.clone(), + rows_matched.clone(), + time.clone(), + ) + }) + .collect::, _>>() + .map(|filters| Some(LiquidRowFilter::new(filters))) +} + +fn get_priority(expr: &Arc) -> u8 { + if let Some(binary) = expr.downcast_ref::() { + match binary.op() { + Operator::Eq | Operator::NotEq => 0, // Highest priority + Operator::LikeMatch | Operator::ILikeMatch => 1, + Operator::NotLikeMatch | Operator::NotILikeMatch => 2, + Operator::Lt | Operator::LtEq | Operator::Gt | Operator::GtEq => 3, + _ => 4, + } + } else if expr.is::() { + 1 // LIKE expressions + } else { + 5 // All other expression types + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_group_filter.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_group_filter.rs new file mode 100644 index 0000000000000..eb26b34b052ae --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/row_group_filter.rs @@ -0,0 +1,427 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +use arrow::{array::ArrayRef, array::BooleanArray, array::UInt64Array, datatypes::Schema}; +use datafusion::common::{Column, Result, ScalarValue}; +use datafusion::datasource::listing::FileRange; +use datafusion::datasource::physical_plan::ParquetFileMetrics; +use datafusion::datasource::physical_plan::parquet::ParquetAccessPlan; +use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningStatistics}; +use parquet::arrow::arrow_reader::statistics::StatisticsConverter; +use parquet::arrow::parquet_column; +use parquet::basic::Type; +use parquet::data_type::Decimal; +use parquet::schema::types::SchemaDescriptor; +use parquet::{ + arrow::{ParquetRecordBatchStreamBuilder, async_reader::AsyncFileReader}, + bloom_filter::Sbbf, + file::metadata::RowGroupMetaData, +}; +use std::collections::{HashMap, HashSet}; +use std::sync::Arc; + +/// Reduces the [`ParquetAccessPlan`] based on row group level metadata. +/// +/// This struct implements the various types of pruning that are applied to a +/// set of row groups within a parquet file, progressively narrowing down the +/// set of row groups (and ranges/selections within those row groups) that +/// should be scanned, based on the available metadata. +#[derive(Debug, Clone, PartialEq)] +pub struct RowGroupAccessPlanFilter { + /// which row groups should be accessed + access_plan: ParquetAccessPlan, +} + +impl RowGroupAccessPlanFilter { + /// Create a new `RowGroupPlanBuilder` for pruning out the groups to scan + /// based on metadata and statistics + pub fn new(access_plan: ParquetAccessPlan) -> Self { + Self { access_plan } + } + + /// Return true if there are no row groups + pub fn is_empty(&self) -> bool { + self.access_plan.is_empty() + } + + /// Returns the inner access plan + pub fn build(self) -> ParquetAccessPlan { + self.access_plan + } + + /// Prune remaining row groups to only those within the specified range. + /// + /// Updates this set to mark row groups that should not be scanned + /// + /// # Panics + /// if `groups.len() != self.len()` + pub fn prune_by_range(&mut self, groups: &[RowGroupMetaData], range: &FileRange) { + assert_eq!(groups.len(), self.access_plan.len()); + for (idx, metadata) in groups.iter().enumerate() { + if !self.access_plan.should_scan(idx) { + continue; + } + + // Skip the row group if the first dictionary/data page are not + // within the range. + // + // note don't use the location of metadata + // + let col = metadata.column(0); + let offset = col + .dictionary_page_offset() + .unwrap_or_else(|| col.data_page_offset()); + if !range.contains(offset) { + self.access_plan.skip(idx); + } + } + } + /// Prune remaining row groups using min/max/null_count statistics and + /// the [`PruningPredicate`] to determine if the predicate can not be true. + /// + /// Updates this set to mark row groups that should not be scanned + /// + /// Note: This method currently ignores ColumnOrder + /// + /// + /// # Panics + /// if `groups.len() != self.len()` + pub fn prune_by_statistics( + &mut self, + arrow_schema: &Schema, + parquet_schema: &SchemaDescriptor, + groups: &[RowGroupMetaData], + predicate: &PruningPredicate, + metrics: &ParquetFileMetrics, + ) { + // scoped timer updates on drop + let _timer_guard = metrics.statistics_eval_time.timer(); + + assert_eq!(groups.len(), self.access_plan.len()); + // Indexes of row groups still to scan + let row_group_indexes = self.access_plan.row_group_indexes(); + let row_group_metadatas = row_group_indexes + .iter() + .map(|&i| &groups[i]) + .collect::>(); + + let pruning_stats = RowGroupPruningStatistics { + parquet_schema, + row_group_metadatas, + arrow_schema, + }; + + // try to prune the row groups in a single call + match predicate.prune(&pruning_stats) { + Ok(values) => { + // values[i] is false means the predicate could not be true for row group i + for (idx, &value) in row_group_indexes.iter().zip(values.iter()) { + if !value { + self.access_plan.skip(*idx); + metrics.row_groups_pruned_statistics.add_pruned(1); + } else { + metrics.row_groups_pruned_statistics.add_matched(1); + } + } + } + // stats filter array could not be built, so we can't prune + Err(e) => { + log::debug!("Error evaluating row group predicate values {e}"); + metrics.predicate_evaluation_errors.add(1); + } + } + } + + /// Prune remaining row groups using available bloom filters and the + /// [`PruningPredicate`]. + /// + /// Updates this set with row groups that should not be scanned + /// + /// # Panics + /// if the builder does not have the same number of row groups as this set + pub async fn prune_by_bloom_filters( + &mut self, + arrow_schema: &Schema, + builder: &mut ParquetRecordBatchStreamBuilder, + predicate: &PruningPredicate, + metrics: &ParquetFileMetrics, + ) { + // scoped timer updates on drop + let _timer_guard = metrics.bloom_filter_eval_time.timer(); + + assert_eq!(builder.metadata().num_row_groups(), self.access_plan.len()); + for idx in 0..self.access_plan.len() { + if !self.access_plan.should_scan(idx) { + continue; + } + + // Attempt to find bloom filters for filtering this row group + let literal_columns = predicate.literal_columns(); + let mut column_sbbf = HashMap::with_capacity(literal_columns.len()); + + for column_name in literal_columns { + let Some((column_idx, _field)) = + parquet_column(builder.parquet_schema(), arrow_schema, &column_name) + else { + continue; + }; + + let bf = match builder + .get_row_group_column_bloom_filter(idx, column_idx) + .await + { + Ok(Some(bf)) => bf, + Ok(None) => continue, // no bloom filter for this column + Err(e) => { + log::debug!("Ignoring error reading bloom filter: {e}"); + metrics.predicate_evaluation_errors.add(1); + continue; + } + }; + let physical_type = builder.parquet_schema().column(column_idx).physical_type(); + + column_sbbf.insert(column_name.to_string(), (bf, physical_type)); + } + + let stats = BloomFilterStatistics { column_sbbf }; + + // Can this group be pruned? + let prune_group = match predicate.prune(&stats) { + Ok(values) => !values[0], + Err(e) => { + log::debug!("Error evaluating row group predicate on bloom filter: {e}"); + metrics.predicate_evaluation_errors.add(1); + false + } + }; + + if prune_group { + metrics.row_groups_pruned_bloom_filter.add_pruned(1); + self.access_plan.skip(idx) + } else if !stats.column_sbbf.is_empty() { + metrics.row_groups_pruned_bloom_filter.add_matched(1); + } + } + } +} +/// Implements [`PruningStatistics`] for Parquet Split Block Bloom Filters (SBBF) +struct BloomFilterStatistics { + /// Maps column name to the parquet bloom filter and parquet physical type + column_sbbf: HashMap, +} + +impl BloomFilterStatistics { + /// Helper function for checking if [`Sbbf`] filter contains [`ScalarValue`]. + /// + /// In case the type of scalar is not supported, returns `true`, assuming that the + /// value may be present. + fn check_scalar(sbbf: &Sbbf, value: &ScalarValue, parquet_type: &Type) -> bool { + match value { + ScalarValue::Utf8(Some(v)) + | ScalarValue::Utf8View(Some(v)) + | ScalarValue::LargeUtf8(Some(v)) => sbbf.check(&v.as_str()), + ScalarValue::Binary(Some(v)) + | ScalarValue::BinaryView(Some(v)) + | ScalarValue::LargeBinary(Some(v)) => sbbf.check(v), + ScalarValue::FixedSizeBinary(_size, Some(v)) => sbbf.check(v), + ScalarValue::Boolean(Some(v)) => sbbf.check(v), + ScalarValue::Float64(Some(v)) => sbbf.check(v), + ScalarValue::Float32(Some(v)) => sbbf.check(v), + ScalarValue::Int64(Some(v)) => sbbf.check(v), + ScalarValue::Int32(Some(v)) => sbbf.check(v), + ScalarValue::UInt64(Some(v)) => sbbf.check(v), + ScalarValue::UInt32(Some(v)) => sbbf.check(v), + ScalarValue::Decimal128(Some(v), p, s) => match parquet_type { + Type::INT32 => { + //https://github.com/apache/parquet-format/blob/eb4b31c1d64a01088d02a2f9aefc6c17c54cc6fc/Encodings.md?plain=1#L35-L42 + // All physical type are little-endian + if *p > 9 { + //DECIMAL can be used to annotate the following types: + // + // int32: for 1 <= precision <= 9 + // int64: for 1 <= precision <= 18 + return true; + } + let b = (*v as i32).to_le_bytes(); + // Use Decimal constructor after https://github.com/apache/arrow-rs/issues/5325 + let decimal = Decimal::Int32 { + value: b, + precision: *p as i32, + scale: *s as i32, + }; + sbbf.check(&decimal) + } + Type::INT64 => { + if *p > 18 { + return true; + } + let b = (*v as i64).to_le_bytes(); + let decimal = Decimal::Int64 { + value: b, + precision: *p as i32, + scale: *s as i32, + }; + sbbf.check(&decimal) + } + Type::FIXED_LEN_BYTE_ARRAY => { + // keep with from_bytes_to_i128 + let b = v.to_be_bytes().to_vec(); + // Use Decimal constructor after https://github.com/apache/arrow-rs/issues/5325 + let decimal = Decimal::Bytes { + value: b.into(), + precision: *p as i32, + scale: *s as i32, + }; + sbbf.check(&decimal) + } + _ => true, + }, + // One more pattern matching since not all data types are supported + // inside of a Dictionary + ScalarValue::Dictionary(_, inner) => match inner.as_ref() { + ScalarValue::Int32(_) + | ScalarValue::Int64(_) + | ScalarValue::UInt32(_) + | ScalarValue::UInt64(_) + | ScalarValue::Float32(_) + | ScalarValue::Float64(_) + | ScalarValue::Utf8(_) + | ScalarValue::LargeUtf8(_) + | ScalarValue::Binary(_) + | ScalarValue::LargeBinary(_) => { + BloomFilterStatistics::check_scalar(sbbf, inner, parquet_type) + } + _ => true, + }, + _ => true, + } + } +} + +impl PruningStatistics for BloomFilterStatistics { + fn min_values(&self, _column: &Column) -> Option { + None + } + + fn max_values(&self, _column: &Column) -> Option { + None + } + + fn num_containers(&self) -> usize { + 1 + } + + fn null_counts(&self, _column: &Column) -> Option { + None + } + + fn row_counts(&self) -> Option { + None + } + + /// Use bloom filters to determine if we are sure this column can not + /// possibly contain `values` + /// + /// The `contained` API returns false if the bloom filters knows that *ALL* + /// of the values in a column are not present. + fn contained(&self, column: &Column, values: &HashSet) -> Option { + let (sbbf, parquet_type) = self.column_sbbf.get(column.name.as_str())?; + + // Bloom filters are probabilistic data structures that can return false + // positives (i.e. it might return true even if the value is not + // present) however, the bloom filter will return `false` if the value is + // definitely not present. + + let known_not_present = values + .iter() + .map(|value| BloomFilterStatistics::check_scalar(sbbf, value, parquet_type)) + // The row group doesn't contain any of the values if + // all the checks are false + .all(|v| !v); + + let contains = if known_not_present { + Some(false) + } else { + // Given the bloom filter is probabilistic, we can't be sure that + // the row group actually contains the values. Return `None` to + // indicate this uncertainty + None + }; + + Some(BooleanArray::from(vec![contains])) + } +} + +/// Wraps a slice of [`RowGroupMetaData`] in a way that implements [`PruningStatistics`] +struct RowGroupPruningStatistics<'a> { + parquet_schema: &'a SchemaDescriptor, + row_group_metadatas: Vec<&'a RowGroupMetaData>, + arrow_schema: &'a Schema, +} + +impl<'a> RowGroupPruningStatistics<'a> { + /// Return an iterator over the row group metadata + fn metadata_iter(&'a self) -> impl Iterator + 'a { + self.row_group_metadatas.iter().copied() + } + + fn statistics_converter<'b>(&'a self, column: &'b Column) -> Result> { + Ok(StatisticsConverter::try_new( + &column.name, + self.arrow_schema, + self.parquet_schema, + )?) + } +} + +impl PruningStatistics for RowGroupPruningStatistics<'_> { + fn min_values(&self, column: &Column) -> Option { + self.statistics_converter(column) + .and_then(|c| Ok(c.row_group_mins(self.metadata_iter())?)) + .ok() + } + + fn max_values(&self, column: &Column) -> Option { + self.statistics_converter(column) + .and_then(|c| Ok(c.row_group_maxes(self.metadata_iter())?)) + .ok() + } + + fn num_containers(&self) -> usize { + self.row_group_metadatas.len() + } + + fn null_counts(&self, column: &Column) -> Option { + self.statistics_converter(column) + .and_then(|c| Ok(c.row_group_null_counts(self.metadata_iter())?)) + .ok() + .map(|counts| Arc::new(counts) as ArrayRef) + } + + fn row_counts(&self) -> Option { + // Row counts are container-level — read directly from row group metadata. + let counts: UInt64Array = self + .metadata_iter() + .map(|rg| Some(rg.num_rows() as u64)) + .collect(); + Some(Arc::new(counts) as ArrayRef) + } + + fn contained(&self, _column: &Column, _values: &HashSet) -> Option { + None + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/source.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/source.rs new file mode 100644 index 0000000000000..fa9e3c7b3590a --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/plantime/source.rs @@ -0,0 +1,399 @@ +use super::opener::LiquidParquetOpener; +use crate::cache::LiquidCacheParquetRef; +use crate::reader::plantime::engagement_policy::{ + CacheEngagementPolicy, default_engagement_policy, +}; +use ahash::{HashMap, HashMapExt}; +use arrow_schema::Schema; +use bytes::Bytes; +use datafusion::{ + config::TableParquetOptions, + datasource::{ + listing::PartitionedFile, + physical_plan::{ + FileScanConfig, FileSource, ParquetFileMetrics, ParquetFileReaderFactory, + ParquetSource, parquet::PagePruningAccessPlanFilter, + }, + table_schema::TableSchema, + }, + error::Result, + physical_expr::projection::ProjectionExprs, + physical_expr_adapter::DefaultPhysicalExprAdapterFactory, + physical_optimizer::pruning::PruningPredicate, + physical_plan::{ + PhysicalExpr, + metrics::{ExecutionPlanMetricsSet, MetricBuilder}, + }, +}; +use futures::{FutureExt, future::BoxFuture}; +use object_store::{ObjectStore, path::Path}; +use parquet::{ + arrow::{ + arrow_reader::ArrowReaderOptions, + async_reader::{AsyncFileReader, ParquetObjectReader}, + }, + file::metadata::{PageIndexPolicy, ParquetMetaData, ParquetMetaDataReader}, +}; +use std::{ + ops::Range, + sync::{Arc, LazyLock}, +}; +use tokio::sync::RwLock; + +static META_CACHE: LazyLock = LazyLock::new(MetadataCache::new); + +/// Pre-seed the metadata cache with already-loaded metadata. +/// Callers that have pre-loaded parquet metadata (e.g., from a custom +/// ParquetFileReaderFactory) can inject it here so that LC's opener +/// skips the expensive `ArrowReaderMetadata::load_async()` call. +pub async fn pre_seed_metadata_cache(path: &Path, metadata: Arc) { + let mut cache = META_CACHE.val.write().await; + cache.entry(path.clone()).or_insert(metadata); +} + +#[derive(Debug)] +pub(crate) struct CachedMetaReaderFactory { + store: Arc, +} + +impl CachedMetaReaderFactory { + pub(crate) fn new(store: Arc) -> Self { + Self { store } + } + + pub(crate) fn create_liquid_reader( + &self, + partition_index: usize, + partitioned_file: PartitionedFile, + metadata_size_hint: Option, + metrics: &ExecutionPlanMetricsSet, + ) -> ParquetMetadataCacheReader { + let path = partitioned_file.object_meta.location.clone(); + let store = Arc::clone(&self.store); + let mut inner = ParquetObjectReader::new(store, path.clone()) + .with_file_size(partitioned_file.object_meta.size); + + if let Some(hint) = metadata_size_hint { + inner = inner.with_footer_size_hint(hint); + } + + ParquetMetadataCacheReader { + file_metrics: ParquetFileMetrics::new(partition_index, path.as_ref(), metrics), + inner, + path, + } + } +} + +impl ParquetFileReaderFactory for CachedMetaReaderFactory { + fn create_reader( + &self, + partition_index: usize, + partitioned_file: PartitionedFile, + metadata_size_hint: Option, + metrics: &ExecutionPlanMetricsSet, + ) -> Result> { + let reader = self.create_liquid_reader( + partition_index, + partitioned_file, + metadata_size_hint, + metrics, + ); + Ok(Box::new(reader)) + } +} + +struct MetadataCache { + val: RwLock>>, +} + +impl MetadataCache { + fn new() -> Self { + Self { + val: RwLock::new(HashMap::new()), + } + } +} + +#[derive(Clone)] +pub struct ParquetMetadataCacheReader { + file_metrics: ParquetFileMetrics, + inner: ParquetObjectReader, + path: Path, +} + +impl AsyncFileReader for ParquetMetadataCacheReader { + fn get_byte_ranges( + &mut self, + ranges: Vec>, + ) -> BoxFuture<'_, parquet::errors::Result>> { + let total: u64 = ranges.iter().map(|r| r.end - r.start).sum(); + self.file_metrics.bytes_scanned.add(total as usize); + self.inner.get_byte_ranges(ranges) + } + + fn get_bytes(&mut self, range: Range) -> BoxFuture<'_, parquet::errors::Result> { + self.file_metrics + .bytes_scanned + .add((range.end - range.start) as usize); + self.inner.get_bytes(range) + } + + fn get_metadata( + &mut self, + options: Option<&ArrowReaderOptions>, + ) -> BoxFuture<'_, parquet::errors::Result>> { + let path = self.path.clone(); + let options = options.cloned(); + async move { + // First check with read lock + { + let cache = META_CACHE.val.read().await; + if let Some(meta) = cache.get(&path) { + log::debug!("[LC-Meta] HIT path={}", path); + return Ok(meta.clone()); + } + } + + // Upgrade to write lock and double-check + let mut cache = META_CACHE.val.write().await; + match cache.entry(path.clone()) { + std::collections::hash_map::Entry::Occupied(entry) => { + log::debug!("[LC-Meta] HIT (race) path={}", path); + Ok(entry.get().clone()) + } + std::collections::hash_map::Entry::Vacant(entry) => { + log::debug!("[LC-Meta] MISS (loading from store) path={}", path); + let meta = self.inner.get_metadata(options.as_ref()).await?; + let meta = Arc::try_unwrap(meta).unwrap_or_else(|e| e.as_ref().clone()); + let mut reader = ParquetMetaDataReader::new_with_metadata(meta.clone()) + .with_page_index_policy(PageIndexPolicy::Optional); + reader.load_page_index(&mut self.inner).await?; + let meta = Arc::new(reader.finish()?); + entry.insert(meta.clone()); + Ok(meta) + } + } + } + .boxed() + } +} + +/// The data source for LiquidCache +#[derive(Clone)] +pub struct LiquidParquetSource { + metrics: ExecutionPlanMetricsSet, + predicate: Option>, + pruning_predicate: Option>, + page_pruning_predicate: Option>, + table_parquet_options: TableParquetOptions, + liquid_cache: LiquidCacheParquetRef, + batch_size: Option, + projection: ProjectionExprs, + table_schema: TableSchema, + /// Optional caller-provided reader factory with pre-loaded metadata. + /// When set, LC's opener uses this to get metadata instantly instead of + /// fetching from the object store. + parquet_file_reader_factory: Option>, + /// Policy that decides per-file whether to use LC stream or delegate to parquet. + engagement_policy: Arc, +} + +impl LiquidParquetSource { + fn reorder_filters(&self) -> bool { + self.table_parquet_options.global.reorder_filters + } + + /// Set the table schema for the LiquidParquetSource + pub fn with_table_schema(&self, table_schema: TableSchema) -> Self { + Self { + table_schema, + ..self.clone() + } + } + + /// Set predicate information, also sets pruning_predicate and page_pruning_predicate attributes + pub fn with_predicate( + mut self, + file_schema: Arc, + predicate: Arc, + ) -> Self { + let metrics = ExecutionPlanMetricsSet::new(); + let predicate_creation_errors = + MetricBuilder::new(&metrics).global_counter("num_predicate_creation_errors"); + + self.metrics = metrics; + self.predicate = Some(Arc::clone(&predicate)); + + match PruningPredicate::try_new(Arc::clone(&predicate), Arc::clone(&file_schema)) { + Ok(pruning_predicate) => { + if !pruning_predicate.always_true() { + self.pruning_predicate = Some(Arc::new(pruning_predicate)); + } + } + Err(e) => { + log::debug!("Could not create pruning predicate for: {e}"); + predicate_creation_errors.add(1); + } + }; + + let page_pruning_predicate = Arc::new(PagePruningAccessPlanFilter::new( + &predicate, + Arc::clone(&file_schema), + )); + self.page_pruning_predicate = Some(page_pruning_predicate); + + self + } + + /// Set predicate for row_filter only — no page-index pruning. + /// Used by the indexed path where the BoolNode's RowSelection is authoritative + /// and page-level statistics must not override it. + pub fn with_predicate_no_page_pruning( + mut self, + file_schema: Arc, + predicate: Arc, + ) -> Self { + let metrics = ExecutionPlanMetricsSet::new(); + let predicate_creation_errors = + MetricBuilder::new(&metrics).global_counter("num_predicate_creation_errors"); + self.metrics = metrics; + self.predicate = Some(Arc::clone(&predicate)); + + match PruningPredicate::try_new(Arc::clone(&predicate), Arc::clone(&file_schema)) { + Ok(pruning_predicate) => { + if !pruning_predicate.always_true() { + self.pruning_predicate = Some(Arc::new(pruning_predicate)); + } + } + Err(e) => { + log::debug!("Could not create pruning predicate for: {e}"); + predicate_creation_errors.add(1); + } + }; + + // Deliberately skip page_pruning_predicate — page-index stats must not + // prune pages that the caller's RowSelection already validated. + self + } + + /// Create a new LiquidParquetSource from a ParquetSource + pub fn from_parquet_source(source: ParquetSource, liquid_cache: LiquidCacheParquetRef) -> Self { + let predicate = source.filter(); + let reader_factory = source.parquet_file_reader_factory().cloned(); + + let table_schema = source.table_schema().clone(); + let file_schema = table_schema.file_schema().clone(); + let projection = source.projection().cloned().unwrap_or_else(|| { + let table_schema = table_schema.table_schema(); + ProjectionExprs::from_indices( + &(0..table_schema.fields().len()).collect::>(), + table_schema, + ) + }); + let mut v = Self { + table_schema, + table_parquet_options: source.table_parquet_options().clone(), + batch_size: Some(liquid_cache.batch_size()), + liquid_cache, + projection, + metrics: source.metrics().clone(), + predicate: None, + pruning_predicate: None, + page_pruning_predicate: None, + parquet_file_reader_factory: reader_factory, + engagement_policy: default_engagement_policy(), + }; + + if let Some(predicate) = predicate { + v = v.with_predicate(file_schema, predicate); + } + + v + } + + /// Set a custom cache engagement policy. + pub fn with_engagement_policy(mut self, policy: Arc) -> Self { + self.engagement_policy = policy; + self + } + + /// Get the predicate for the LiquidParquetSource + pub fn predicate(&self) -> Option> { + self.predicate.clone() + } +} + +impl FileSource for LiquidParquetSource { + fn create_file_opener( + &self, + object_store: Arc, + base_config: &FileScanConfig, + partition: usize, + ) -> Result> { + let expr_adapter_factory = base_config + .expr_adapter_factory + .clone() + .unwrap_or_else(|| Arc::new(DefaultPhysicalExprAdapterFactory) as _); + + let reader_factory = Arc::new(CachedMetaReaderFactory::new(object_store)); + + // If the caller provided a ParquetFileReaderFactory (with pre-loaded + // metadata), pre-seed LC's metadata cache for all files in this partition. + // This avoids expensive ArrowReaderMetadata::load_async() calls in the + // opener for files whose metadata we already have. + // Pass caller's reader factory to the opener so it can use pre-loaded + // metadata (avoids re-fetching from object store). + let caller_reader_factory = self.parquet_file_reader_factory.clone(); + + let opener = LiquidParquetOpener::new( + partition, + self.projection.clone(), + self.batch_size + .expect("Batch size must be set before creating LiquidParquetOpener"), + base_config.limit, + self.predicate.clone(), + self.table_schema.clone(), + self.metrics.clone(), + self.liquid_cache.clone(), + reader_factory, + self.reorder_filters(), + expr_adapter_factory, + caller_reader_factory, + Arc::clone(&self.engagement_policy), + ); + + Ok(Arc::new(opener)) + } + + fn with_batch_size(&self, batch_size: usize) -> Arc { + let mut conf = self.clone(); + conf.batch_size = Some(batch_size); + Arc::new(conf) + } + + fn table_schema(&self) -> &TableSchema { + &self.table_schema + } + + fn try_pushdown_projection( + &self, + projection: &ProjectionExprs, + ) -> Result>> { + let mut source = self.clone(); + source.projection = self.projection.try_merge(projection)?; + Ok(Some(Arc::new(source))) + } + + fn projection(&self) -> Option<&ProjectionExprs> { + Some(&self.projection) + } + + fn metrics(&self) -> &ExecutionPlanMetricsSet { + &self.metrics + } + + fn file_type(&self) -> &str { + "liquid_parquet" + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_cache_reader.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_cache_reader.rs new file mode 100644 index 0000000000000..22dffbc7ff725 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_cache_reader.rs @@ -0,0 +1,900 @@ +use std::collections::VecDeque; +use std::pin::Pin; +use std::sync::Arc; +use std::task::{Context, Poll}; + +use arrow::array::{Array, ArrayRef, BooleanArray, RecordBatch}; +use arrow::buffer::BooleanBuffer; +use arrow::compute::prep_null_mask_filter; +use arrow::record_batch::RecordBatchOptions; +use arrow_schema::{ArrowError, Schema, SchemaRef}; +use futures::{Stream, StreamExt, future::BoxFuture, stream::BoxStream}; +use parquet::arrow::arrow_reader::{ + ArrowPredicate, ArrowReaderMetadata, ArrowReaderOptions, RowSelection, RowSelector, +}; +use parquet::arrow::{ParquetRecordBatchStreamBuilder, ProjectionMask}; +use parquet::errors::ParquetError; +use parquet::file::metadata::ParquetMetaData; + +use crate::cache::{BatchID, CachedRowGroupRef}; +use crate::reader::plantime::{LiquidRowFilter, ParquetMetadataCacheReader}; +use crate::reader::runtime::utils::take_next_batch; +use crate::utils::{boolean_buffer_and_then, row_selector_to_boolean_buffer}; + +pub(crate) struct LiquidCacheReader { + state: ReaderState, + row_filter: Option, +} + +enum ReaderState { + Ready(Box), + Processing( + BoxFuture< + 'static, + ( + LiquidCacheReaderInner, + Option, + ProcessResult, + ), + >, + ), + Finished, +} + +enum ProcessResult { + Emit(Result), + Skip, +} + +struct LiquidCacheReaderInner { + cached_row_group: CachedRowGroupRef, + current_batch_id: BatchID, + selection: VecDeque, + schema: SchemaRef, + batch_size: usize, + projection_columns: Vec, + parquet_fallback: ParquetFallback, + last_pull: Option<(BatchID, RecordBatch)>, +} + +pub(crate) struct LiquidCacheReaderConfig { + pub(crate) batch_size: usize, + pub(crate) selection: RowSelection, + pub(crate) row_filter: Option, + pub(crate) cached_row_group: CachedRowGroupRef, + pub(crate) projection_columns: Vec, + pub(crate) schema: SchemaRef, + pub(crate) parquet_fallback: ParquetFallbackConfig, +} + +#[derive(Clone)] +pub(crate) struct ParquetFallbackConfig { + pub(crate) row_group_idx: usize, + pub(crate) metadata: Arc, + pub(crate) input: ParquetMetadataCacheReader, + pub(crate) cache_projection: ProjectionMask, + pub(crate) cache_column_ids: Vec, + pub(crate) cache_batch_size: usize, + pub(crate) row_count: usize, +} + +struct ParquetFallback { + row_group_idx: usize, + metadata: Arc, + input: ParquetMetadataCacheReader, + cache_projection: ProjectionMask, + cache_column_ids: Vec, + cache_batch_size: usize, + row_count: usize, + stream: Option>>, + next_batch_id: BatchID, +} + +impl LiquidCacheReader { + pub(crate) fn new(config: LiquidCacheReaderConfig) -> Self { + let inner = LiquidCacheReaderInner::new( + config.batch_size, + config.selection, + config.cached_row_group, + config.projection_columns, + Arc::clone(&config.schema), + ParquetFallback::new(config.parquet_fallback), + ); + Self { + state: ReaderState::Ready(Box::new(inner)), + row_filter: config.row_filter, + } + } + + pub(crate) fn into_filter(self) -> Option { + debug_assert!( + matches!(self.state, ReaderState::Finished), + "cannot extract filter before reader completes" + ); + self.row_filter + } +} + +impl Stream for LiquidCacheReader { + type Item = Result; + + fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll> { + loop { + let state = std::mem::replace(&mut self.state, ReaderState::Finished); + + match state { + ReaderState::Processing(mut fut) => match fut.as_mut().poll(cx) { + Poll::Pending => { + self.state = ReaderState::Processing(fut); + return Poll::Pending; + } + Poll::Ready((inner, row_filter, result)) => { + self.row_filter = row_filter; + self.state = ReaderState::Ready(Box::new(inner)); + match result { + ProcessResult::Emit(item) => return Poll::Ready(Some(item)), + ProcessResult::Skip => continue, + } + } + }, + ReaderState::Ready(mut inner) => { + match take_next_batch(&mut inner.selection, inner.batch_size) { + Some(selection) => { + let inner = *inner; + let future = inner.next_batch(self.row_filter.take(), selection); + self.state = ReaderState::Processing(future); + continue; + } + None => { + self.state = ReaderState::Finished; + return Poll::Ready(None); + } + } + } + ReaderState::Finished => { + self.state = ReaderState::Finished; + return Poll::Ready(None); + } + } + } + } +} + +impl ParquetFallback { + fn new(config: ParquetFallbackConfig) -> Self { + Self { + row_group_idx: config.row_group_idx, + metadata: config.metadata, + input: config.input, + cache_projection: config.cache_projection, + cache_column_ids: config.cache_column_ids, + cache_batch_size: config.cache_batch_size, + row_count: config.row_count, + stream: None, + next_batch_id: BatchID::from_raw(0), + } + } + + async fn fetch_batch(&mut self, batch_id: BatchID) -> Result { + if self.stream.is_none() || batch_id != self.next_batch_id { + self.rebuild_stream(batch_id)?; + } + + let stream = self.stream.as_mut().expect("fallback stream is present"); + let record_batch = stream.next().await.transpose()?.ok_or_else(|| { + ParquetError::General(format!( + "parquet fallback ended before batch {}", + *batch_id as usize + )) + })?; + + self.next_batch_id = batch_id; + self.next_batch_id.inc(); + Ok(record_batch) + } + + fn rebuild_stream(&mut self, batch_id: BatchID) -> Result<(), ParquetError> { + let reader_metadata = + ArrowReaderMetadata::try_new(Arc::clone(&self.metadata), ArrowReaderOptions::new())?; + let row_selection = + build_row_selection_from(batch_id, self.cache_batch_size, self.row_count); + + let stream = + ParquetRecordBatchStreamBuilder::new_with_metadata(self.input.clone(), reader_metadata) + .with_projection(self.cache_projection.clone()) + .with_row_groups(vec![self.row_group_idx]) + .with_batch_size(self.cache_batch_size) + .with_row_selection(row_selection) + .build()? + .boxed(); + + self.stream = Some(stream); + self.next_batch_id = batch_id; + Ok(()) + } +} + +fn build_row_selection_from( + batch_id: BatchID, + batch_size: usize, + row_count: usize, +) -> RowSelection { + let start = usize::from(*batch_id) * batch_size; + let mut selectors = Vec::new(); + + if start > 0 { + selectors.push(RowSelector::skip(start.min(row_count))); + } + + if start >= row_count { + return RowSelection::from(selectors); + } + + let mut remaining = row_count - start; + while remaining > 0 { + let selected = remaining.min(batch_size); + selectors.push(RowSelector::select(selected)); + remaining -= selected; + } + + RowSelection::from(selectors) +} + +impl LiquidCacheReaderInner { + fn new( + batch_size: usize, + selection: RowSelection, + cached_row_group: CachedRowGroupRef, + projection_columns: Vec, + schema: SchemaRef, + parquet_fallback: ParquetFallback, + ) -> Self { + Self { + cached_row_group, + current_batch_id: BatchID::from_raw(0), + selection: selection.into(), + schema, + batch_size, + projection_columns, + parquet_fallback, + last_pull: None, + } + } + + fn next_batch( + self, + row_filter: Option, + selection: Vec, + ) -> BoxFuture<'static, (Self, Option, ProcessResult)> { + Box::pin(async move { + let mut inner = self; + let mut row_filter = row_filter; + inner.last_pull = None; + + let result = match inner + .build_predicate_filter(&mut row_filter, selection) + .await + { + Ok(selection) => match inner.read_from_cache(&selection).await { + // read_from_cache is async because a cache miss falls back + // to reading the batch from parquet. + Ok(Some(batch)) => { + inner.current_batch_id.inc(); + ProcessResult::Emit(Ok(batch)) + } + Ok(None) => { + inner.current_batch_id.inc(); + ProcessResult::Skip + } + Err(e) => ProcessResult::Emit(Err(e)), + }, + Err(e) => ProcessResult::Emit(Err(e)), + }; + + (inner, row_filter, result) + }) + } + + async fn build_predicate_filter( + &mut self, + row_filter: &mut Option, + selection: Vec, + ) -> Result { + let mut input_selection = row_selector_to_boolean_buffer(&selection); + + let Some(filter) = row_filter.as_mut() else { + return Ok(input_selection); + }; + + for predicate in filter.predicates_mut() { + if input_selection.count_set_bits() == 0 { + break; + } + + let boolean_array = match self.cached_row_group.evaluate_selection_with_predicate( + self.current_batch_id, + &input_selection, + predicate, + ) { + Some(result) => result?, + None => { + self.evaluate_predicate_after_materialize(&input_selection, predicate) + .await? + } + }; + + let boolean_mask = if boolean_array.null_count() == 0 { + boolean_array.into_parts().0 + } else { + prep_null_mask_filter(&boolean_array).into_parts().0 + }; + + input_selection = boolean_buffer_and_then(&input_selection, &boolean_mask); + } + + Ok(input_selection) + } + + async fn read_from_cache( + &mut self, + selection: &BooleanBuffer, + ) -> Result, ArrowError> { + let selected_rows = selection.count_set_bits(); + if selected_rows == 0 { + return Ok(None); + } + + if self.projection_columns.is_empty() { + let options = RecordBatchOptions::new().with_row_count(Some(selected_rows)); + let batch = + RecordBatch::try_new_with_options(self.schema.clone(), Vec::new(), &options) + .unwrap(); + return Ok(Some(batch)); + } + + // Phase 1: Try cache for all columns, collect hits and track misses. + let mut arrays: Vec> = vec![None; self.projection_columns.len()]; + let mut has_miss = false; + let mut hit_count = 0usize; + let mut miss_count = 0usize; + + for (i, &column_idx) in self.projection_columns.iter().enumerate() { + let column = self + .cached_row_group + .get_column(column_idx as u64) + .ok_or_else(|| { + ArrowError::ComputeError(format!( + "column {column_idx} not present in liquid cache" + )) + })?; + + let array = column.get_arrow_array_with_filter(self.current_batch_id, selection); + + if let Some(arr) = array { + arrays[i] = Some(arr); + hit_count += 1; + } else { + has_miss = true; + miss_count += 1; + } + } + + if *self.current_batch_id == 0 { + log::debug!( + "[LC-Reader] batch_id={}, selected_rows={}, cols={}, hits={}, misses={}, fallback={}", + *self.current_batch_id, + selected_rows, + self.projection_columns.len(), + hit_count, + miss_count, + has_miss, + ); + } + + // Phase 2: If any columns missed, read from parquet ONCE for all misses. + if has_miss { + let record_batch = self + .read_parquet_batch_and_fill_cache(self.current_batch_id) + .await?; + + for (i, &column_idx) in self.projection_columns.iter().enumerate() { + if arrays[i].is_none() { + let array = self.parquet_array(&record_batch, column_idx)?; + arrays[i] = Some(filter_array(array, selection)?); + } + } + } + + let final_arrays: Vec = arrays.into_iter().map(|a| a.unwrap()).collect(); + Ok(Some( + RecordBatch::try_new(self.schema.clone(), final_arrays).unwrap(), + )) + } + + async fn read_parquet_batch_and_fill_cache( + &mut self, + batch_id: BatchID, + ) -> Result { + if let Some((pulled_batch_id, record_batch)) = &self.last_pull + && *pulled_batch_id == batch_id + { + return Ok(record_batch.clone()); + } + + let record_batch = self + .parquet_fallback + .fetch_batch(batch_id) + .await + .map_err(|e| ArrowError::ComputeError(format!("parquet fallback read failed: {e}")))?; + + // Spawn cache fill asynchronously — transcoding Arrow→Liquid should not + // block the query hot path. The batch is returned immediately; cache + // population happens in the background. + let cached_row_group = self.cached_row_group.clone(); + let cache_column_ids = self.parquet_fallback.cache_column_ids.clone(); + let batch_for_cache = record_batch.clone(); + tokio::spawn(async move { + for (col_idx, file_column_id) in cache_column_ids.iter().copied().enumerate() { + let Some(column) = cached_row_group.get_column(file_column_id as u64) else { + continue; + }; + let array = Arc::clone(batch_for_cache.column(col_idx)); + let _ = column.insert(batch_id, array); + } + }); + + self.last_pull = Some((batch_id, record_batch.clone())); + Ok(record_batch) + } + + async fn evaluate_predicate_after_materialize( + &mut self, + selection: &BooleanBuffer, + predicate: &mut crate::reader::LiquidPredicate, + ) -> Result { + let record_batch = self + .read_parquet_batch_and_fill_cache(self.current_batch_id) + .await?; + + if let Some(result) = self.cached_row_group.evaluate_selection_with_predicate( + self.current_batch_id, + selection, + predicate, + ) { + return result; + } + + let column_ids = predicate.predicate_column_ids(); + let mut arrays = Vec::with_capacity(column_ids.len()); + let mut fields = Vec::with_capacity(column_ids.len()); + + for column_id in column_ids { + let array = self.parquet_array(&record_batch, column_id)?; + arrays.push(filter_array(array, selection)?); + + let field = self + .cached_row_group + .get_column(column_id as u64) + .ok_or_else(|| { + ArrowError::ComputeError(format!( + "column {column_id} not present in liquid cache" + )) + })? + .field() + .as_ref() + .clone(); + fields.push(field); + } + + let schema = Arc::new(Schema::new(fields)); + let predicate_batch = if arrays.is_empty() { + let options = + RecordBatchOptions::new().with_row_count(Some(selection.count_set_bits())); + RecordBatch::try_new_with_options(schema, arrays, &options)? + } else { + RecordBatch::try_new(schema, arrays)? + }; + + predicate.evaluate(predicate_batch) + } + + fn parquet_array( + &self, + record_batch: &RecordBatch, + file_column_id: usize, + ) -> Result { + let position = self + .parquet_fallback + .cache_column_ids + .iter() + .position(|column_id| *column_id == file_column_id) + .ok_or_else(|| { + ArrowError::ComputeError(format!( + "column {file_column_id} not present in parquet fallback projection" + )) + })?; + + Ok(Arc::clone(record_batch.column(position))) + } +} + +fn filter_array(array: ArrayRef, selection: &BooleanBuffer) -> Result { + let selection_array = BooleanArray::new(selection.clone(), None); + arrow::compute::filter(array.as_ref(), &selection_array) +} + +#[cfg(test)] +mod tests { + use super::*; + use crate::{ + cache::LiquidCacheParquet, + reader::plantime::CachedMetaReaderFactory, + reader::{FilterCandidateBuilder, LiquidPredicate, LiquidRowFilter}, + }; + use arrow::array::{ArrayRef, Int32Array}; + use arrow::record_batch::RecordBatch; + use arrow_schema::{DataType, Field, Schema, SchemaRef}; + use datafusion::datasource::listing::PartitionedFile; + use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet; + use datafusion::{ + logical_expr::Operator, + physical_expr::PhysicalExpr, + physical_expr::expressions::{BinaryExpr, Column, Literal}, + scalar::ScalarValue, + }; + use futures::{StreamExt, pin_mut}; + use liquid_cache::cache::TranscodeEvict; + use liquid_cache::cache_policies::LiquidPolicy; + use object_store::local::LocalFileSystem; + use parquet::arrow::{ + ArrowWriter, ProjectionMask, + arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions, RowSelection, RowSelector}, + }; + use std::fs::File; + use std::sync::Arc; + + struct TestRowGroup { + batch_size: usize, + row_group: CachedRowGroupRef, + schema: SchemaRef, + fallback: ParquetFallbackConfig, + _tmp_dir: tempfile::TempDir, + } + + struct ReaderRequest { + selection: RowSelection, + row_filter: Option, + projection_columns: Vec, + schema: SchemaRef, + } + + impl TestRowGroup { + fn reader(&self, request: ReaderRequest) -> LiquidCacheReader { + LiquidCacheReader::new(LiquidCacheReaderConfig { + batch_size: self.batch_size, + selection: request.selection, + row_filter: request.row_filter, + cached_row_group: Arc::clone(&self.row_group), + projection_columns: request.projection_columns, + schema: request.schema, + parquet_fallback: self.fallback.clone(), + }) + } + } + + async fn make_row_group(batch_size: usize, batches: &[Vec]) -> TestRowGroup { + let tmp_dir = tempfile::tempdir().unwrap(); + let field = Arc::new(Field::new("col0", DataType::Int32, false)); + let schema = Arc::new(Schema::new(vec![field.clone()])); + let parquet_path = tmp_dir.path().join("data.parquet"); + let file = File::create(&parquet_path).unwrap(); + let mut writer = ArrowWriter::try_new(file, Arc::clone(&schema), None).unwrap(); + for values in batches { + let array: ArrayRef = Arc::new(Int32Array::from(values.clone())); + let batch = RecordBatch::try_new(Arc::clone(&schema), vec![array]).unwrap(); + writer.write(&batch).unwrap(); + } + writer.close().unwrap(); + + let metadata_file = File::open(&parquet_path).unwrap(); + let reader_metadata = + ArrowReaderMetadata::load(&metadata_file, ArrowReaderOptions::new()).unwrap(); + let object_store = Arc::new(LocalFileSystem::new_with_prefix(tmp_dir.path()).unwrap()); + let partitioned_file = PartitionedFile::new( + "data.parquet", + std::fs::metadata(&parquet_path).unwrap().len(), + ); + let metrics = ExecutionPlanMetricsSet::new(); + let input = CachedMetaReaderFactory::new(object_store).create_liquid_reader( + 0, + partitioned_file, + None, + &metrics, + ); + let projection = ProjectionMask::roots( + reader_metadata.metadata().file_metadata().schema_descr(), + [0], + ); + + let cache = LiquidCacheParquet::new( + batch_size, + usize::MAX, + Box::new(LiquidPolicy::new()), + Box::new(TranscodeEvict), + ); + let file = cache.register_or_get_file("test".to_string(), schema.clone()); + // Mark col0 as a predicate column so it is cacheable in tests. + let row_group = file.create_row_group(0, vec![0]); + let column = row_group.get_column(0).unwrap(); + + for (idx, values) in batches.iter().enumerate() { + let array: ArrayRef = Arc::new(Int32Array::from(values.clone())); + column + .insert(BatchID::from_raw(idx as u16), array) + .expect("cache insert"); + } + + TestRowGroup { + batch_size, + row_group, + schema, + fallback: ParquetFallbackConfig { + row_group_idx: 0, + metadata: Arc::clone(reader_metadata.metadata()), + input, + cache_projection: projection, + cache_column_ids: vec![0], + cache_batch_size: batch_size, + row_count: flatten_batches(batches).len(), + }, + _tmp_dir: tmp_dir, + } + } + + fn flatten_batches(batches: &[Vec]) -> Vec { + batches.iter().flat_map(|b| b.iter().copied()).collect() + } + + fn collect_batches(reader: LiquidCacheReader) -> Vec { + futures::executor::block_on( + reader + .map(|batch| batch.expect("valid record batch")) + .collect::>(), + ) + } + + fn as_i32_values(batch: &RecordBatch) -> Vec { + let array = batch + .column(0) + .as_any() + .downcast_ref::() + .expect("int column"); + array.iter().map(|v| v.expect("non-null")).collect() + } + + fn build_filter( + schema: SchemaRef, + values: &[i32], + expr: Arc, + ) -> LiquidRowFilter { + let tmp_meta = tempfile::NamedTempFile::new().unwrap(); + let array: ArrayRef = Arc::new(Int32Array::from(values.to_vec())); + let batch = RecordBatch::try_new(Arc::clone(&schema), vec![array.clone()]).unwrap(); + let mut writer = + ArrowWriter::try_new(tmp_meta.reopen().unwrap(), Arc::clone(&schema), None).unwrap(); + writer.write(&batch).unwrap(); + writer.close().unwrap(); + + let file = std::fs::File::open(tmp_meta.path()).unwrap(); + let metadata = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new()).unwrap(); + + let builder = FilterCandidateBuilder::new(expr, Arc::clone(&schema)); + let candidate = builder.build(metadata.metadata()).unwrap().unwrap(); + let projection = candidate.projection(metadata.metadata()); + let predicate = LiquidPredicate::try_new(candidate, projection).unwrap(); + + LiquidRowFilter::new(vec![predicate]) + } + + fn make_gt_filter(schema: SchemaRef, values: &[i32], literal: i32) -> LiquidRowFilter { + let expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("col0", 0)), + Operator::Gt, + Arc::new(Literal::new(ScalarValue::Int32(Some(literal)))), + )); + build_filter(schema, values, expr) + } + + #[tokio::test] + async fn reads_batches_in_order() { + let batch_size = 2; + let test = make_row_group(batch_size, &[vec![1, 2], vec![3, 4]]).await; + let selection = RowSelection::from(vec![RowSelector::select(4)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: None, + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let batches = collect_batches(reader); + assert_eq!(batches.len(), 2); + assert_eq!(as_i32_values(&batches[0]), vec![1, 2]); + assert_eq!(as_i32_values(&batches[1]), vec![3, 4]); + } + + #[tokio::test] + async fn skips_unselected_batches() { + let batch_size = 2; + let test = make_row_group(batch_size, &[vec![1, 2], vec![3, 4]]).await; + let selection = RowSelection::from(vec![RowSelector::skip(2), RowSelector::select(2)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: None, + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let batches = collect_batches(reader); + assert_eq!(batches.len(), 1); + assert_eq!(as_i32_values(&batches[0]), vec![3, 4]); + } + + #[tokio::test] + async fn empty_projection_emits_schema_only_batches() { + let batch_size = 2; + let test = make_row_group(batch_size, &[vec![10, 11]]).await; + let selection = RowSelection::from(vec![RowSelector::select(2)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: None, + projection_columns: Vec::new(), + schema: Arc::new(Schema::new(Vec::::new())), + }); + + let batches = collect_batches(reader); + assert_eq!(batches.len(), 1); + let batch = &batches[0]; + assert_eq!(batch.num_columns(), 0); + assert_eq!(batch.num_rows(), 2); + } + + #[tokio::test] + async fn into_filter_returns_stored_filter_after_completion() { + let batch_size = 2; + let test = make_row_group(batch_size, &[vec![1, 2]]).await; + let selection = RowSelection::from(Vec::::new()); + let filter = LiquidRowFilter::new(Vec::new()); + + let mut reader = test.reader(ReaderRequest { + selection, + row_filter: Some(filter), + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let waker = futures::task::noop_waker(); + let mut cx = Context::from_waker(&waker); + assert!(matches!( + Pin::new(&mut reader).poll_next(&mut cx), + Poll::Ready(None) + )); + + assert!(reader.into_filter().is_some()); + } + + #[tokio::test] + async fn predicate_filters_rows_across_batches() { + let batches = vec![vec![1, 2], vec![3, 4]]; + let batch_size = 2; + let all_values = flatten_batches(&batches); + let test = make_row_group(batch_size, &batches).await; + let filter = make_gt_filter(Arc::clone(&test.schema), &all_values, 2); + let selection = RowSelection::from(vec![RowSelector::select(4)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: Some(filter), + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let batches = collect_batches(reader); + assert_eq!(batches.len(), 1); + assert_eq!(as_i32_values(&batches[0]), vec![3, 4]); + } + + fn make_or_filter( + schema: SchemaRef, + values: &[i32], + gt_literal: i32, + lt_literal: i32, + ) -> LiquidRowFilter { + let cond1: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("col0", 0)), + Operator::Gt, + Arc::new(Literal::new(ScalarValue::Int32(Some(gt_literal)))), + )); + let cond2: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("col0", 0)), + Operator::Lt, + Arc::new(Literal::new(ScalarValue::Int32(Some(lt_literal)))), + )); + let expr: Arc = Arc::new(BinaryExpr::new(cond1, Operator::Or, cond2)); + build_filter(schema, values, expr) + } + + #[tokio::test] + async fn predicate_filters_or_rows() { + let batches = vec![vec![1, 2], vec![3, 4], vec![5, 6]]; + let batch_size = 2; + let all_values = flatten_batches(&batches); + let test = make_row_group(batch_size, &batches).await; + let filter = make_or_filter(Arc::clone(&test.schema), &all_values, 4, 2); + let selection = RowSelection::from(vec![RowSelector::select(6)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: Some(filter), + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let batches = collect_batches(reader); + assert_eq!(batches.len(), 2); + assert_eq!(as_i32_values(&batches[0]), vec![1]); + assert_eq!(as_i32_values(&batches[1]), vec![5, 6]); + } + + #[tokio::test] + async fn predicate_combines_with_selection() { + let batches = vec![vec![1, 2, 3, 4]]; + let batch_size = 4; + let all_values = flatten_batches(&batches); + let test = make_row_group(batch_size, &batches).await; + let filter = make_gt_filter(Arc::clone(&test.schema), &all_values, 2); + let selection = RowSelection::from(vec![ + RowSelector::skip(1), + RowSelector::select(2), + RowSelector::skip(1), + ]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: Some(filter), + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let mut batches = collect_batches(reader); + assert_eq!(batches.len(), 1); + assert_eq!(as_i32_values(&batches.pop().unwrap()), vec![3]); + } + + #[tokio::test] + async fn predicate_can_filter_all_rows() { + let batches = vec![vec![1, 2]]; + let batch_size = 2; + let all_values = flatten_batches(&batches); + let test = make_row_group(batch_size, &batches).await; + let filter = make_gt_filter(Arc::clone(&test.schema), &all_values, 10); + let selection = RowSelection::from(vec![RowSelector::select(2)]); + + let reader = test.reader(ReaderRequest { + selection, + row_filter: Some(filter), + projection_columns: vec![0], + schema: Arc::clone(&test.schema), + }); + + let next_batch = futures::executor::block_on(async { + pin_mut!(reader); + reader.next().await + }); + + assert!(next_batch.is_none()); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_predicate.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_predicate.rs new file mode 100644 index 0000000000000..2cae21e29421d --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_predicate.rs @@ -0,0 +1,163 @@ +use std::sync::Arc; + +use datafusion::logical_expr::Operator; +use datafusion::physical_expr::PhysicalExpr; +use datafusion::physical_expr::expressions::{ + BinaryExpr, CastExpr, Column, LikeExpr, Literal, TryCastExpr, +}; + +/// Extract multiple column-literal expressions from a nested OR structure. +/// Returns a vector of (column_name, expression) pairs if all leaf expressions +/// are column-literal expressions connected by OR operators. +pub(crate) fn extract_multi_column_or( + expr: &Arc, +) -> Option)>> { + let mut result = Vec::new(); + + fn collect_or_expressions<'a>( + expr: &'a Arc, + result: &mut Vec<(&'a str, Arc)>, + ) -> bool { + if let Some(binary) = expr.downcast_ref::() + && binary.op() == &Operator::Or + { + // Recursively collect from left and right + return collect_or_expressions(binary.left(), result) + && collect_or_expressions(binary.right(), result); + } + + // Try to extract column-literal from this expression + if let Some(column_literal) = extract_column_literal(expr) { + result.push(column_literal); + true + } else { + false + } + } + + if collect_or_expressions(expr, &mut result) && result.len() >= 2 { + Some(result) + } else { + None + } +} + +fn extract_column_literal(expr: &Arc) -> Option<(&str, Arc)> { + if let Some(binary) = expr.downcast_ref::() + && binary.right().is::() + { + return extract_column_literal(binary.left()); + } else if let Some(like_expr) = expr.downcast_ref::() + && like_expr.pattern().is::() + { + return extract_column_literal(like_expr.expr()); + } else if let Some(cast_expr) = expr.downcast_ref::() { + return extract_column_literal(cast_expr.expr()); + } else if let Some(try_cast_expr) = expr.downcast_ref::() { + return extract_column_literal(try_cast_expr.expr()); + } else if let Some(column) = expr.downcast_ref::() { + return Some((column.name(), Arc::clone(expr))); + } + None +} + +#[cfg(test)] +mod tests { + use super::*; + use datafusion::common::ScalarValue; + use datafusion::logical_expr::Operator; + use datafusion::physical_expr::expressions::{BinaryExpr, Literal}; + use datafusion::physical_plan::expressions::Column; + + #[test] + fn test_extract_multi_column_or_valid_three_columns() { + // Test case: a = 1 OR b = 2 OR c = 3 + // This should extract 3 column-literal pairs + + let expr_a: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(1)))), + )); + + let expr_b: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("b", 1)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(2)))), + )); + + let expr_c: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("c", 2)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(3)))), + )); + + // Build nested OR: (a = 1 OR b = 2) OR c = 3 + let expr_ab = Arc::new(BinaryExpr::new(expr_a, Operator::Or, expr_b)); + let expr_final: Arc = + Arc::new(BinaryExpr::new(expr_ab, Operator::Or, expr_c)); + + let result = extract_multi_column_or(&expr_final); + + assert!(result.is_some()); + let column_exprs = result.unwrap(); + assert_eq!(column_exprs.len(), 3); + + // Verify we got the correct column names + let mut column_names: Vec<&str> = column_exprs.iter().map(|(name, _)| *name).collect(); + column_names.sort(); + assert_eq!(column_names, vec!["a", "b", "c"]); + } + + #[test] + fn test_extract_multi_column_or_invalid_expression() { + // Test case: a + b = 5 (not a column-literal OR expression) + // This should return None + + let add_expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Plus, + Arc::new(Column::new("b", 1)), + )); + + let expr: Arc = Arc::new(BinaryExpr::new( + add_expr, + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(5)))), + )); + + let result = extract_multi_column_or(&expr); + assert!(result.is_none()); + + // Test case: Single column expression (a = 1) + // This should return None because we need >= 2 columns + let single_expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(1)))), + )); + + let result = extract_multi_column_or(&single_expr); + assert!(result.is_none()); + + // Test case: Mixed valid and invalid OR (a = 1 OR (b + c)) + // This should return None because one branch is not column-literal + let valid_expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("a", 0)), + Operator::Eq, + Arc::new(Literal::new(ScalarValue::Int32(Some(1)))), + )); + + let invalid_expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new("b", 1)), + Operator::Plus, + Arc::new(Column::new("c", 2)), + )); + + let mixed_expr: Arc = + Arc::new(BinaryExpr::new(valid_expr, Operator::Or, invalid_expr)); + + let result = extract_multi_column_or(&mixed_expr); + assert!(result.is_none()); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_stream.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_stream.rs new file mode 100644 index 0000000000000..30669ae6fac76 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/liquid_stream.rs @@ -0,0 +1,712 @@ +use crate::cache::{CachedFileRef, CachedRowGroupRef}; +use crate::reader::plantime::{LiquidRowFilter, ParquetMetadataCacheReader}; +use arrow::array::RecordBatch; +use arrow_schema::{Schema, SchemaRef}; +use futures::Stream; +use parquet::{ + arrow::{ + ProjectionMask, + arrow_reader::{ArrowPredicate, RowSelection, RowSelector}, + }, + errors::ParquetError, + file::metadata::ParquetMetaData, +}; +use std::{ + collections::VecDeque, + fmt::Formatter, + pin::Pin, + sync::Arc, + task::{Context, Poll}, +}; + +use super::liquid_cache_reader::{ + LiquidCacheReader, LiquidCacheReaderConfig, ParquetFallbackConfig, +}; +use super::utils::{get_root_column_ids, limit_row_selection, offset_row_selection}; + +type PlanResult = Option; + +struct ReaderFactory { + metadata: Arc, + + input: ParquetMetadataCacheReader, + + filter: Option, + + limit: Option, + + offset: Option, + + cached_file: CachedFileRef, +} + +impl ReaderFactory { + /// Plans what to read from cache vs parquet for the next row group + fn plan_row_group( + &mut self, + row_group_idx: usize, + selection: Option, + projection: ProjectionMask, + batch_size: usize, + ) -> PlanResult { + let meta = self.metadata.row_group(row_group_idx); + + let mut predicate_projection: Option = None; + if let Some(filter) = self.filter.as_mut() { + for predicate in filter.predicates_mut() { + let p_projection = predicate.projection(); + if let Some(ref mut p) = predicate_projection { + p.union(p_projection); + } else { + predicate_projection = Some(p_projection.clone()); + } + } + } + + let mut selection = + selection.unwrap_or_else(|| vec![RowSelector::select(meta.num_rows() as usize)].into()); + + let rows_before = selection.row_count(); + + if rows_before == 0 { + return None; + } + + if let Some(offset) = self.offset { + selection = offset_row_selection(selection, offset); + } + + if let Some(limit) = self.limit { + selection = limit_row_selection(selection, limit); + } + + let rows_after = selection.row_count(); + + // Update offset if necessary + if let Some(offset) = &mut self.offset { + // Reduction is either because of offset or limit, as limit is applied + // after offset has been "exhausted" can just use saturating sub here + *offset = offset.saturating_sub(rows_before - rows_after) + } + + if rows_after == 0 { + return None; + } + + if let Some(limit) = &mut self.limit { + *limit -= rows_after; + } + + let mut cache_projection = projection.clone(); + if let Some(ref predicate_projection) = predicate_projection { + cache_projection.union(predicate_projection); + } + + let schema_descr = self.metadata.file_metadata().schema_descr(); + let cache_column_ids = get_root_column_ids(schema_descr, &cache_projection); + // When no predicate is present, all projected columns are cacheable. + // Without this, `is_predicate_column` is false for every column and + // the cache is effectively disabled (get returns None, insert rejects). + let predicate_column_ids = if let Some(ref predicate_projection) = predicate_projection { + get_root_column_ids(schema_descr, predicate_projection) + } else { + cache_column_ids.clone() + }; + + if row_group_idx == 0 { + log::debug!( + "[LC-Stream] plan_row_group: rg={}, cache_cols={:?}, predicate_cols={:?}, \ + has_filter={}, rows={}", + row_group_idx, + &cache_column_ids, + &predicate_column_ids, + self.filter.is_some(), + self.metadata.row_group(row_group_idx).num_rows(), + ); + } + + let cached_row_group = self + .cached_file + .create_row_group(row_group_idx as u64, predicate_column_ids.clone()); + + let projection_column_ids = get_root_column_ids(schema_descr, &projection); + + let context = PlanningContext { + row_group_idx, + selection, + batch_size, + cached_row_group, + cache_projection, + projection_column_ids, + cache_column_ids, + }; + + Some(context) + } +} + +fn build_projection_schema(file_schema: &SchemaRef, projection_column_ids: &[usize]) -> SchemaRef { + let fields: Vec<_> = projection_column_ids + .iter() + .filter_map(|column_id| file_schema.fields().get(*column_id)) + .map(|field_ref| field_ref.as_ref().clone()) + .collect(); + Arc::new(Schema::new(fields)) +} + +/// Context for planning what to read from cache vs parquet +struct PlanningContext { + row_group_idx: usize, + selection: RowSelection, + batch_size: usize, + cached_row_group: CachedRowGroupRef, + cache_projection: ProjectionMask, + projection_column_ids: Vec, + cache_column_ids: Vec, +} + +fn build_liquid_cache_reader( + reader_factory: &mut ReaderFactory, + context: PlanningContext, + schema: SchemaRef, +) -> LiquidCacheReader { + let row_count = reader_factory + .metadata + .row_group(context.row_group_idx) + .num_rows() as usize; + let cache_batch_size = context.cached_row_group.batch_size(); + LiquidCacheReader::new(LiquidCacheReaderConfig { + batch_size: context.batch_size, + selection: context.selection, + row_filter: reader_factory.filter.take(), + cached_row_group: context.cached_row_group, + projection_columns: context.projection_column_ids, + schema, + parquet_fallback: ParquetFallbackConfig { + row_group_idx: context.row_group_idx, + metadata: Arc::clone(&reader_factory.metadata), + input: reader_factory.input.clone(), + cache_projection: context.cache_projection, + cache_column_ids: context.cache_column_ids, + cache_batch_size, + row_count, + }, + }) +} + +enum StreamState { + /// At the start of a new row group, or the end of the parquet stream + Init, + /// Decoding a batch from cache + ReadFromCache(Box), +} + +impl std::fmt::Debug for StreamState { + fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result { + match self { + StreamState::Init => write!(f, "StreamState::Init"), + StreamState::ReadFromCache(_) => write!(f, "StreamState::Decoding"), + } + } +} + +pub struct LiquidStreamBuilder { + pub(crate) input: ParquetMetadataCacheReader, + + pub(crate) metadata: Arc, + + pub(crate) batch_size: usize, + + pub(crate) row_groups: Option>, + + pub(crate) projection: ProjectionMask, + + pub(crate) filter: Option, + + pub(crate) selection: Option, + + pub(crate) limit: Option, + + pub(crate) offset: Option, +} + +impl LiquidStreamBuilder { + pub fn new(input: ParquetMetadataCacheReader, metadata: Arc) -> Self { + Self { + input, + metadata, + batch_size: 1024, + row_groups: None, + projection: ProjectionMask::all(), + filter: None, + selection: None, + limit: None, + offset: None, + } + } + + pub fn with_batch_size(mut self, batch_size: usize) -> Self { + self.batch_size = batch_size; + self + } + + pub fn with_row_groups(mut self, row_groups: Vec) -> Self { + self.row_groups = Some(row_groups); + self + } + + pub fn with_projection(mut self, projection: ProjectionMask) -> Self { + self.projection = projection; + self + } + + pub fn with_selection(mut self, selection: Option) -> Self { + self.selection = selection; + self + } + + pub fn with_limit(mut self, limit: Option) -> Self { + self.limit = limit; + self + } + + pub fn with_row_filter(mut self, filter: LiquidRowFilter) -> Self { + self.filter = Some(filter); + self + } + + pub fn build(self, liquid_cache: CachedFileRef) -> Result { + let num_row_groups = self.metadata.row_groups().len(); + + let row_groups: VecDeque = match self.row_groups { + Some(row_groups) => { + if let Some(col) = row_groups.iter().find(|x| **x >= num_row_groups) { + return Err(ParquetError::ArrowError(format!( + "row group {col} out of bounds 0..{num_row_groups}" + ))); + } + row_groups.into() + } + None => (0..self.metadata.row_groups().len()).collect(), + }; + + let batch_size = self + .batch_size + .min(self.metadata.file_metadata().num_rows() as usize); + + let schema_descr = self.metadata.file_metadata().schema_descr(); + let projection_column_ids = get_root_column_ids(schema_descr, &self.projection); + let file_schema = liquid_cache.schema(); + let schema = build_projection_schema(&file_schema, &projection_column_ids); + + let reader = ReaderFactory { + metadata: Arc::clone(&self.metadata), + input: self.input, + filter: self.filter, + limit: self.limit, + offset: self.offset, + cached_file: liquid_cache, + }; + + Ok(LiquidStream { + metadata: self.metadata, + schema, + row_groups, + projection: self.projection, + batch_size, + selection: self.selection, + reader: Some(reader), + state: StreamState::Init, + }) + } +} + +pub struct LiquidStream { + metadata: Arc, + + schema: SchemaRef, + + row_groups: VecDeque, + + projection: ProjectionMask, + + batch_size: usize, + + selection: Option, + + /// This is an option so it can be moved into a future + reader: Option, + + state: StreamState, +} + +impl std::fmt::Debug for LiquidStream { + fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result { + f.debug_struct("ParquetRecordBatchStream") + .field("metadata", &self.metadata) + .field("schema", &self.schema) + .field("batch_size", &self.batch_size) + .field("projection", &self.projection) + .field("state", &self.state) + .finish() + } +} + +impl LiquidStream { + pub fn schema(&self) -> &SchemaRef { + &self.schema + } +} + +impl Stream for LiquidStream { + type Item = Result; + + fn poll_next(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll> { + loop { + let state = std::mem::replace(&mut self.state, StreamState::Init); + + match state { + StreamState::ReadFromCache(mut batch_reader) => { + match Pin::new(&mut *batch_reader).poll_next(cx) { + Poll::Ready(Some(Ok(batch))) => { + self.state = StreamState::ReadFromCache(batch_reader); + return Poll::Ready(Some(Ok(batch))); + } + Poll::Ready(Some(Err(e))) => { + panic!("Decoding next batch error: {e:?}"); + } + Poll::Ready(None) => { + let batch_reader = *batch_reader; + let filter = batch_reader.into_filter(); + self.reader.as_mut().unwrap().filter = filter; + // state left as Init, continue loop to plan next row group + } + Poll::Pending => { + self.state = StreamState::ReadFromCache(batch_reader); + return Poll::Pending; + } + } + } + StreamState::Init => { + let row_group_idx = match self.row_groups.pop_front() { + Some(idx) => idx, + None => return Poll::Ready(None), + }; + + let row_count = self.metadata.row_group(row_group_idx).num_rows() as usize; + + let selection = self.selection.as_mut().map(|s| s.split_off(row_count)); + + let projection = self.projection.clone(); + let batch_size = self.batch_size; + let maybe_context = self.reader.as_mut().expect("lost reader").plan_row_group( + row_group_idx, + selection, + projection, + batch_size, + ); + match maybe_context { + Some(context) => { + let schema = Arc::clone(&self.schema); + let reader_factory = self.reader.as_mut().unwrap(); + let batch_reader = + build_liquid_cache_reader(reader_factory, context, schema); + self.state = StreamState::ReadFromCache(Box::new(batch_reader)); + } + None => { + self.state = StreamState::Init; + } + } + } + } + } + } +} +#[cfg(test)] +mod tests { + use super::*; + use crate::cache::{BatchID, CachedFileRef, LiquidCacheParquet}; + use crate::reader::plantime::{ + CachedMetaReaderFactory, FilterCandidateBuilder, LiquidPredicate, LiquidRowFilter, + }; + use arrow::array::{ArrayRef, Int32Array}; + use arrow_schema::{DataType, Field, Schema}; + use datafusion::common::ScalarValue; + use datafusion::datasource::listing::PartitionedFile; + use datafusion::logical_expr::Operator; + use datafusion::physical_expr::PhysicalExpr; + use datafusion::physical_expr::expressions::{BinaryExpr, Column, Literal}; + use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet; + use futures::StreamExt; + use liquid_cache::cache::TranscodeEvict; + use liquid_cache::cache_policies::LiquidPolicy; + use object_store::local::LocalFileSystem; + use parquet::arrow::ArrowWriter; + use parquet::arrow::arrow_reader::{ArrowReaderMetadata, ArrowReaderOptions}; + use std::fs::File; + use std::sync::Arc; + + fn write_two_row_group_file(path: &std::path::Path, schema: SchemaRef) { + let file = File::create(path).unwrap(); + let mut writer = ArrowWriter::try_new(file, schema.clone(), None).unwrap(); + let batch0 = RecordBatch::try_new( + schema.clone(), + vec![ + Arc::new(Int32Array::from(vec![0, 1, 2, 3])), + Arc::new(Int32Array::from(vec![10, 11, 12, 13])), + ], + ) + .unwrap(); + let batch1 = RecordBatch::try_new( + schema, + vec![ + Arc::new(Int32Array::from(vec![4, 5, 6, 7])), + Arc::new(Int32Array::from(vec![14, 15, 16, 17])), + ], + ) + .unwrap(); + writer.write(&batch0).unwrap(); + writer.flush().unwrap(); + writer.write(&batch1).unwrap(); + writer.close().unwrap(); + } + + fn make_liquid_stream( + max_memory_bytes: usize, + row_filter: Option, + projection_columns: Vec, + ) -> ( + LiquidStream, + Arc, + CachedFileRef, + tempfile::TempDir, + ) { + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + ])); + let tmp_dir = tempfile::tempdir().unwrap(); + let parquet_path = tmp_dir.path().join("data.parquet"); + write_two_row_group_file(&parquet_path, schema.clone()); + let metadata_file = File::open(&parquet_path).unwrap(); + let reader_metadata = + ArrowReaderMetadata::load(&metadata_file, ArrowReaderOptions::new()).unwrap(); + let object_store = Arc::new(LocalFileSystem::new_with_prefix(tmp_dir.path()).unwrap()); + let partitioned_file = PartitionedFile::new( + "data.parquet", + std::fs::metadata(&parquet_path).unwrap().len(), + ); + let metrics = ExecutionPlanMetricsSet::new(); + let input = CachedMetaReaderFactory::new(object_store).create_liquid_reader( + 0, + partitioned_file, + None, + &metrics, + ); + + let cache = Arc::new(LiquidCacheParquet::new( + 4, + max_memory_bytes, + Box::new(LiquidPolicy::new()), + Box::new(TranscodeEvict), + )); + let cached_file = cache.register_or_get_file("data.parquet".to_string(), schema); + let projection = ProjectionMask::roots( + reader_metadata.metadata().file_metadata().schema_descr(), + projection_columns, + ); + let mut builder = LiquidStreamBuilder::new(input, Arc::clone(reader_metadata.metadata())) + .with_batch_size(4) + .with_row_groups(vec![0, 1]) + .with_projection(projection); + if let Some(row_filter) = row_filter { + builder = builder.with_row_filter(row_filter); + } + let stream = builder.build(cached_file.clone()).unwrap(); + (stream, cache, cached_file, tmp_dir) + } + + async fn collect_liquid_values(stream: LiquidStream) -> (Vec, Vec) { + let batches = stream + .map(|batch| batch.expect("valid liquid stream batch")) + .collect::>() + .await; + let mut a = Vec::new(); + let mut b = Vec::new(); + for batch in batches { + let a_array = batch + .column(0) + .as_any() + .downcast_ref::() + .unwrap(); + let b_array = batch + .column(1) + .as_any() + .downcast_ref::() + .unwrap(); + a.extend(a_array.iter().map(|value| value.unwrap())); + b.extend(b_array.iter().map(|value| value.unwrap())); + } + (a, b) + } + + async fn collect_projected_a(stream: LiquidStream) -> Vec { + let batches = stream + .map(|batch| batch.expect("valid liquid stream batch")) + .collect::>() + .await; + let mut a = Vec::new(); + for batch in batches { + let a_array = batch + .column(0) + .as_any() + .downcast_ref::() + .unwrap(); + a.extend(a_array.iter().map(|value| value.unwrap())); + } + a + } + + fn gt_filter_on( + schema: SchemaRef, + col_name: &str, + col_idx: usize, + literal: i32, + ) -> LiquidRowFilter { + let expr: Arc = Arc::new(BinaryExpr::new( + Arc::new(Column::new(col_name, col_idx)), + Operator::Gt, + Arc::new(Literal::new(ScalarValue::Int32(Some(literal)))), + )); + let tmp_meta = tempfile::NamedTempFile::new().unwrap(); + write_two_row_group_file(tmp_meta.path(), schema.clone()); + let file = File::open(tmp_meta.path()).unwrap(); + let metadata = ArrowReaderMetadata::load(&file, ArrowReaderOptions::new()).unwrap(); + let builder = FilterCandidateBuilder::new(expr, schema); + let candidate = builder.build(metadata.metadata()).unwrap().unwrap(); + let projection = candidate.projection(metadata.metadata()); + let predicate = LiquidPredicate::try_new(candidate, projection).unwrap(); + LiquidRowFilter::new(vec![predicate]) + } + + /// Let the background cache-fill tasks (spawned via tokio::spawn) run. + async fn drain_background_tasks() { + for _ in 0..64 { + tokio::task::yield_now().await; + } + } + + fn is_cached(row_group: &CachedRowGroupRef, column_id: usize, batch_idx: u16) -> bool { + row_group + .get_column(column_id as u64) + .unwrap() + .get_arrow_array_test_only(BatchID::from_raw(batch_idx)) + .is_some() + } + + #[tokio::test] + async fn reads_two_row_groups_without_filter() { + let (stream, _cache, cached_file, _tmp_dir) = + make_liquid_stream(usize::MAX, None, vec![0, 1]); + + let (a, b) = collect_liquid_values(stream).await; + + assert_eq!(a, vec![0, 1, 2, 3, 4, 5, 6, 7]); + assert_eq!(b, vec![10, 11, 12, 13, 14, 15, 16, 17]); + + drain_background_tasks().await; + // Without a predicate, all projected columns are cacheable. + let row_group0 = cached_file.create_row_group(0, vec![0, 1]); + let row_group1 = cached_file.create_row_group(1, vec![0, 1]); + assert!(is_cached(&row_group0, 0, 0)); + assert!(is_cached(&row_group0, 1, 0)); + assert!(is_cached(&row_group1, 0, 0)); + assert!(is_cached(&row_group1, 1, 0)); + } + + #[tokio::test] + async fn row_filter_filters_rows() { + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + ])); + let filter = gt_filter_on(schema, "a", 0, 2); + let (stream, _cache, _cached_file, _tmp_dir) = + make_liquid_stream(usize::MAX, Some(filter), vec![0, 1]); + + let (a, b) = collect_liquid_values(stream).await; + + assert_eq!(a, vec![3, 4, 5, 6, 7]); + assert_eq!(b, vec![13, 14, 15, 16, 17]); + } + + #[tokio::test] + async fn predicate_fallback_uses_predicate_projection() { + let schema = Arc::new(Schema::new(vec![ + Field::new("a", DataType::Int32, false), + Field::new("b", DataType::Int32, false), + ])); + let filter = gt_filter_on(schema, "b", 1, 13); + let (stream, _cache, cached_file, _tmp_dir) = + make_liquid_stream(usize::MAX, Some(filter), vec![0]); + + let a_values = collect_projected_a(stream).await; + + assert_eq!(a_values, vec![4, 5, 6, 7]); + + drain_background_tasks().await; + // With a predicate on `b`, only `b` is a predicate column and cacheable. + let row_group0 = cached_file.create_row_group(0, vec![1]); + let row_group1 = cached_file.create_row_group(1, vec![1]); + assert!(is_cached(&row_group0, 1, 0)); + assert!(is_cached(&row_group1, 1, 0)); + } + + #[tokio::test] + async fn zero_memory_budget_recovers() { + let (stream, _cache, cached_file, _tmp_dir) = make_liquid_stream(0, None, vec![0, 1]); + + let (a, b) = collect_liquid_values(stream).await; + + assert_eq!(a, vec![0, 1, 2, 3, 4, 5, 6, 7]); + assert_eq!(b, vec![10, 11, 12, 13, 14, 15, 16, 17]); + + drain_background_tasks().await; + let row_group0 = cached_file.create_row_group(0, vec![0, 1]); + let row_group1 = cached_file.create_row_group(1, vec![0, 1]); + assert!(!is_cached(&row_group0, 0, 0)); + assert!(!is_cached(&row_group0, 1, 0)); + assert!(!is_cached(&row_group1, 0, 0)); + assert!(!is_cached(&row_group1, 1, 0)); + } + + #[tokio::test] + async fn pre_populated_cache_serves_reads() { + let (stream, _cache, cached_file, _tmp_dir) = + make_liquid_stream(usize::MAX, None, vec![0, 1]); + let row_group0 = cached_file.create_row_group(0, vec![0, 1]); + let row_group1 = cached_file.create_row_group(1, vec![0, 1]); + let a0: ArrayRef = Arc::new(Int32Array::from(vec![0, 1, 2, 3])); + let a1: ArrayRef = Arc::new(Int32Array::from(vec![4, 5, 6, 7])); + row_group0 + .get_column(0) + .unwrap() + .insert(BatchID::from_raw(0), a0) + .unwrap(); + row_group1 + .get_column(0) + .unwrap() + .insert(BatchID::from_raw(0), a1) + .unwrap(); + + let (a, b) = collect_liquid_values(stream).await; + + assert_eq!(a, vec![0, 1, 2, 3, 4, 5, 6, 7]); + assert_eq!(b, vec![10, 11, 12, 13, 14, 15, 16, 17]); + + drain_background_tasks().await; + // Missing column `b` was pulled from parquet and back-filled. + assert!(is_cached(&row_group0, 1, 0)); + assert!(is_cached(&row_group1, 1, 0)); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/mod.rs new file mode 100644 index 0000000000000..bfde28dcc9382 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/mod.rs @@ -0,0 +1,7 @@ +pub(crate) use liquid_predicate::extract_multi_column_or; +pub(crate) use liquid_stream::LiquidStreamBuilder; + +mod liquid_cache_reader; +mod liquid_predicate; +mod liquid_stream; +mod utils; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/utils.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/utils.rs new file mode 100644 index 0000000000000..a05b79942b1c2 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/runtime/utils.rs @@ -0,0 +1,212 @@ +use std::collections::VecDeque; + +use parquet::{ + arrow::{ + ProjectionMask, + arrow_reader::{RowSelection, RowSelector}, + }, + schema::types::SchemaDescriptor, +}; + +pub(crate) fn get_root_column_ids( + schema: &SchemaDescriptor, + projection: &ProjectionMask, +) -> Vec { + let mut root_mask = vec![false; schema.root_schema().get_fields().len()]; + + for leaf_idx in 0..schema.num_columns() { + if projection.leaf_included(leaf_idx) { + let root_idx = schema.get_column_root_idx(leaf_idx); + root_mask[root_idx] = true; + } + } + + root_mask + .into_iter() + .enumerate() + .filter_map(|(idx, included)| included.then_some(idx)) + .collect() +} + +pub(crate) fn offset_row_selection(selection: RowSelection, offset: usize) -> RowSelection { + if offset == 0 { + return selection; + } + + let mut selected_count = 0; + let mut skipped_count = 0; + + let mut selectors: Vec = selection.into(); + + let find = selectors.iter().position(|selector| match selector.skip { + true => { + skipped_count += selector.row_count; + false + } + false => { + selected_count += selector.row_count; + selected_count > offset + } + }); + + let split_idx = match find { + Some(idx) => idx, + None => { + selectors.clear(); + return RowSelection::from(selectors); + } + }; + + let mut new_selectors = Vec::with_capacity(selectors.len() - split_idx + 1); + new_selectors.push(RowSelector::skip(skipped_count + offset)); + new_selectors.push(RowSelector::select(selected_count - offset)); + new_selectors.extend_from_slice(&selectors[split_idx + 1..]); + + RowSelection::from(new_selectors) +} + +pub(crate) fn limit_row_selection(selection: RowSelection, mut limit: usize) -> RowSelection { + let mut selectors: Vec = selection.into(); + + if limit == 0 { + selectors.clear(); + } + + for (idx, selection) in selectors.iter_mut().enumerate() { + if !selection.skip { + if selection.row_count >= limit { + selection.row_count = limit; + selectors.truncate(idx + 1); + break; + } else { + limit -= selection.row_count; + } + } + } + RowSelection::from(selectors) +} + +/// Take the next batch from the selection queue. +/// The returning selection will have exactly the batch size, or less if the selection is exhausted. +pub(super) fn take_next_batch( + selection: &mut VecDeque, + batch_size: usize, +) -> Option> { + let mut current_selected = 0; + let mut rt = Vec::new(); + while let Some(mut front) = selection.pop_front() { + if front.row_count + current_selected > batch_size { + let to_select = batch_size - current_selected; + if to_select > 0 { + let mut sub_front = front; + sub_front.row_count = to_select; + rt.push(sub_front); + } + let remaining = front.row_count - to_select; + front.row_count = remaining; + selection.push_front(front); + current_selected += to_select; + break; + } else { + rt.push(front); + current_selected += front.row_count; + } + } + if current_selected == 0 { + return None; + } + Some(rt) +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_take_next_batch() { + { + let mut queue = VecDeque::new(); + let selection = take_next_batch(&mut queue, 8); + assert!(selection.is_none()); + assert!(queue.is_empty()); + } + + { + let mut queue = VecDeque::from(vec![RowSelector::select(8)]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!(selection, vec![RowSelector::select(8)]); + assert!(queue.is_empty()); + } + + { + let mut queue = VecDeque::from(vec![RowSelector::select(10)]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!(selection, vec![RowSelector::select(8)]); + assert_eq!(queue, vec![RowSelector::select(2)]); + } + + { + let mut queue = VecDeque::from(vec![ + RowSelector::select(2), + RowSelector::skip(2), + RowSelector::select(2), + RowSelector::skip(2), + RowSelector::select(2), + ]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!( + selection, + vec![ + RowSelector::select(2), + RowSelector::skip(2), + RowSelector::select(2), + RowSelector::skip(2), + ] + ); + assert_eq!(queue, vec![RowSelector::select(2)]); + } + + { + let mut queue = VecDeque::from(vec![RowSelector::select(3), RowSelector::skip(2)]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!( + selection, + vec![RowSelector::select(3), RowSelector::skip(2)] + ); + assert!(queue.is_empty()); + } + + { + let mut queue = VecDeque::from(vec![ + RowSelector::select(2), + RowSelector::skip(4), + RowSelector::select(6), + ]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!( + selection, + vec![ + RowSelector::select(2), + RowSelector::skip(4), + RowSelector::select(2), + ] + ); + assert_eq!(queue, vec![RowSelector::select(4)]); + } + + { + let mut queue = VecDeque::from(vec![ + RowSelector::skip(5), + RowSelector::select(3), + RowSelector::skip(2), + RowSelector::select(7), + ]); + let selection = take_next_batch(&mut queue, 8).unwrap(); + assert_eq!( + selection, + vec![RowSelector::skip(5), RowSelector::select(3),] + ); + assert_eq!(queue, vec![RowSelector::skip(2), RowSelector::select(7)]); + } + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/boolean_selection.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/boolean_selection.rs new file mode 100644 index 0000000000000..c031d45e4c1f6 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/boolean_selection.rs @@ -0,0 +1,273 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +use std::ops::Range; + +use arrow::array::{Array, BooleanArray, BooleanBufferBuilder}; +use arrow::buffer::{BooleanBuffer, MutableBuffer}; +use arrow::util::bit_iterator::BitIndexIterator; +use parquet::arrow::arrow_reader::{RowSelection, RowSelector}; + +/// A selection of rows using a boolean array. +#[derive(Debug, Clone, PartialEq)] +pub struct BooleanSelection { + selectors: BooleanBuffer, +} + +impl BooleanSelection { + /// Create a new BooleanSelection from a list of BooleanArray. + pub fn from_filters(filters: &[BooleanArray]) -> Self { + let arrays: Vec<&dyn Array> = filters.iter().map(|x| x as &dyn Array).collect(); + let result = arrow::compute::concat(&arrays).unwrap().into_data(); + let (boolean_array, _null) = BooleanArray::from(result).into_parts(); + BooleanSelection { + selectors: boolean_array, + } + } + + /// Create a new BooleanSelection with all rows unselected + pub fn new_unselected(row_count: usize) -> Self { + let buffer = BooleanBuffer::new_unset(row_count); + + BooleanSelection { selectors: buffer } + } + + /// Create a new BooleanSelection with all rows selected + pub fn new_selected(row_count: usize) -> Self { + let buffer = BooleanBuffer::new_set(row_count); + + BooleanSelection { selectors: buffer } + } + + /// Returns a new BooleanSelection that selects the inverse of this BooleanSelection. + pub fn as_inverted(&self) -> Self { + let buffer = !&self.selectors; + BooleanSelection { selectors: buffer } + } + + /// Returns the number of rows in this BooleanSelection. + pub fn len(&self) -> usize { + self.selectors.len() + } + + /// Check if the BooleanSelection is empty. + pub fn is_empty(&self) -> bool { + self.len() == 0 + } + + /// Returns the number of rows selected by this BooleanSelection. + pub fn row_count(&self) -> usize { + self.selectors.count_set_bits() + } + + /// Create a new BooleanSelection from a list of consecutive ranges. + pub fn from_consecutive_ranges( + ranges: impl Iterator>, + total_rows: usize, + ) -> Self { + let mut buffer = BooleanBufferBuilder::new(total_rows); + let mut last_end = 0; + + for range in ranges { + let len = range.end - range.start; + if len == 0 { + continue; + } + + if range.start > last_end { + buffer.append_n(range.start - last_end, false); + } + buffer.append_n(len, true); + last_end = range.end; + } + + if last_end != total_rows { + buffer.append_n(total_rows - last_end, false); + } + + BooleanSelection { + selectors: buffer.finish(), + } + } + + /// Compute the union of two [`RowSelection`] + /// For example: + /// self: NNYYYYNNYYNYN + /// other: NYNNNNNNN + /// + /// returned: NYYYYYNNYYNYN + #[must_use] + pub fn union(&self, other: &Self) -> Self { + // use arrow::compute::kernels::boolean::or; + + let union_selectors = &self.selectors | &other.selectors; + + BooleanSelection { + selectors: union_selectors, + } + } + + /// Compute the intersection of two [`RowSelection`] + /// For example: + /// self: NNYYYYNNYYNYN + /// other: NYNNNNNNY + /// + /// returned: NNNNNNNNYYNYN + #[must_use] + pub fn intersection(&self, other: &Self) -> Self { + let intersection_selectors = &self.selectors & &other.selectors; + + BooleanSelection { + selectors: intersection_selectors, + } + } + + /// Combines this `BooleanSelection` with another using logical AND on the selected bits. + /// + /// The `other` `BooleanSelection` must have exactly as many set bits as `self`. + /// This method will keep only the bits in `self` that are also set in `other` + /// at the positions corresponding to `self`'s set bits. + pub fn and_then(&self, other: &Self) -> Self { + // Ensure that 'other' has exactly as many set bits as 'self' + debug_assert_eq!( + self.row_count(), + other.len(), + "The 'other' selection must have exactly as many set bits as 'self'." + ); + + if self.len() == other.len() { + // fast path if the two selections are the same length + // common if this is the first predicate + debug_assert_eq!(self.row_count(), self.len()); + return self.intersection(other); + } + + let mut buffer = MutableBuffer::from_len_zeroed(self.selectors.inner().len()); + buffer.copy_from_slice(self.selectors.values()); + let mut builder = BooleanBufferBuilder::new_from_buffer(buffer, self.len()); + + // Create iterators for 'self' and 'other' bits + let mut other_bits = other.selectors.iter(); + + for bit_idx in self.positive_iter() { + let predicate = other_bits + .next() + .expect("Mismatch in set bits between self and other"); + if !predicate { + builder.set_bit(bit_idx, false); + } + } + + BooleanSelection { + selectors: builder.finish(), + } + } + + /// Returns an iterator over the indices of the set bits in this [`BooleanSelection`] + pub fn positive_iter(&self) -> BitIndexIterator<'_> { + self.selectors.set_indices() + } + + /// Returns `true` if this [BooleanSelection] selects any rows + pub fn selects_any(&self) -> bool { + self.row_count() > 0 + } + + /// Returns a new BooleanSelection that selects the rows in this BooleanSelection from `offset` to `offset + len` + pub fn slice(&self, offset: usize, len: usize) -> BooleanArray { + BooleanArray::new(self.selectors.slice(offset, len), None) + } +} + +impl From> for BooleanSelection { + fn from(selection: Vec) -> Self { + let selection = RowSelection::from(selection); + RowSelection::into(selection) + } +} + +impl From for BooleanSelection { + fn from(selection: RowSelection) -> Self { + let total_rows = selection.row_count(); + let mut builder = BooleanBufferBuilder::new(total_rows); + + for selector in selection.iter() { + if selector.skip { + builder.append_n(selector.row_count, false); + } else { + builder.append_n(selector.row_count, true); + } + } + + BooleanSelection { + selectors: builder.finish(), + } + } +} + +impl From<&BooleanSelection> for RowSelection { + fn from(selection: &BooleanSelection) -> Self { + let array = BooleanArray::new(selection.selectors.clone(), None); + RowSelection::from_filters(&[array]) + } +} + +#[cfg(test)] +mod tests { + use super::*; + + #[test] + fn test_boolean_selection_and_then() { + // Initial mask: 001011010101 + let self_filters = vec![BooleanArray::from(vec![ + false, false, true, false, true, true, false, true, false, true, false, true, + ])]; + let self_selection = BooleanSelection::from_filters(&self_filters); + + // Predicate mask (only for selected bits): 001101 + let other_filters = vec![BooleanArray::from(vec![ + false, false, true, true, false, true, + ])]; + let other_selection = BooleanSelection::from_filters(&other_filters); + + let result = self_selection.and_then(&other_selection); + + // Expected result: 000001010001 + let expected_filters = vec![BooleanArray::from(vec![ + false, false, false, false, false, true, false, true, false, false, false, true, + ])]; + let expected_selection = BooleanSelection::from_filters(&expected_filters); + + assert_eq!(result, expected_selection); + } + + #[test] + #[should_panic( + expected = "The 'other' selection must have exactly as many set bits as 'self'." + )] + fn test_and_then_mismatched_set_bits() { + let self_filters = vec![BooleanArray::from(vec![true, true, false])]; + let self_selection = BooleanSelection::from_filters(&self_filters); + + // 'other' has only one set bit, but 'self' has two + let other_filters = vec![BooleanArray::from(vec![true, false, false])]; + let other_selection = BooleanSelection::from_filters(&other_filters); + + // This should panic + let _ = self_selection.and_then(&other_selection); + } +} diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/mod.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/mod.rs new file mode 100644 index 0000000000000..237e831a8d5d0 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/reader/utils/mod.rs @@ -0,0 +1 @@ +pub(crate) mod boolean_selection; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/sync.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/sync.rs new file mode 100644 index 0000000000000..4e2a741253538 --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/sync.rs @@ -0,0 +1,2 @@ +#[allow(unused_imports)] +pub use std::{sync::*, thread}; diff --git a/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/utils.rs b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/utils.rs new file mode 100644 index 0000000000000..076cc2b91035f --- /dev/null +++ b/sandbox/libs/dataformat-native/rust/liquid-cache/datafusion/src/utils.rs @@ -0,0 +1,335 @@ +use arrow::{ + array::BooleanBufferBuilder, + buffer::{BooleanBuffer, MutableBuffer}, +}; +use parquet::arrow::arrow_reader::RowSelector; + +fn boolean_buffer_and_then_fallback(left: &BooleanBuffer, right: &BooleanBuffer) -> BooleanBuffer { + debug_assert_eq!( + left.count_set_bits(), + right.len(), + "the right selection must have the same number of set bits as the left selection" + ); + + if left.len() == right.len() { + debug_assert_eq!(left.count_set_bits(), left.len()); + return right.clone(); + } + + let mut buffer = MutableBuffer::from_len_zeroed(left.values().len()); + buffer.copy_from_slice(left.values()); + let mut builder = BooleanBufferBuilder::new_from_buffer(buffer, left.len()); + + let mut other_bits = right.iter(); + + for bit_idx in left.set_indices() { + let predicate = other_bits + .next() + .expect("Mismatch in set bits between self and other"); + if !predicate { + builder.set_bit(bit_idx, false); + } + } + + builder.finish() +} + +/// Combines this [`BooleanBuffer`] with another using logical AND on the selected bits. +/// +/// Unlike intersection, the `other` [`BooleanBuffer`] must have exactly as many **set bits** as `self`, +/// i.e., self.count_set_bits() == other.len(). +/// +/// This method will keep only the bits in `self` that are also set in `other` +/// at the positions corresponding to `self`'s set bits. +/// For example: +/// left: NNYYYNNYYNYN +/// right: YNY NY N +/// result: NNYNYNNNYNNN +/// +/// Optimized version of `boolean_buffer_and_then` using BMI2 PDEP instructions. +/// This function performs the same operation but uses bit manipulation instructions +/// for better performance on supported x86_64 CPUs. +pub fn boolean_buffer_and_then(left: &BooleanBuffer, right: &BooleanBuffer) -> BooleanBuffer { + debug_assert_eq!( + left.count_set_bits(), + right.len(), + "the right selection must have the same number of set bits as the left selection" + ); + + if left.len() == right.len() { + debug_assert_eq!(left.count_set_bits(), left.len()); + return right.clone(); + } + + // Fast path for BMI2 support on x86_64 + #[cfg(target_arch = "x86_64")] + { + if is_x86_feature_detected!("bmi2") { + return unsafe { boolean_buffer_and_then_bmi2(left, right) }; + } + } + + boolean_buffer_and_then_fallback(left, right) +} + +#[cfg(target_arch = "x86_64")] +#[inline(always)] +fn load_u64_zero_padded(base_ptr: *const u8, total_bytes: usize, offset: usize) -> u64 { + let remaining = total_bytes.saturating_sub(offset); + if remaining >= 8 { + unsafe { core::ptr::read_unaligned(base_ptr.add(offset) as *const u64) } + } else if remaining > 0 { + let mut tmp = [0u8; 8]; + unsafe { + core::ptr::copy_nonoverlapping(base_ptr.add(offset), tmp.as_mut_ptr(), remaining); + } + u64::from_le_bytes(tmp) + } else { + 0 + } +} + +#[cfg(target_arch = "x86_64")] +#[target_feature(enable = "bmi2")] +unsafe fn boolean_buffer_and_then_bmi2( + left: &BooleanBuffer, + right: &BooleanBuffer, +) -> BooleanBuffer { + use core::arch::x86_64::_pdep_u64; + + debug_assert_eq!(left.count_set_bits(), right.len()); + + let bit_len = left.len(); + let byte_len = bit_len.div_ceil(8); + let left_ptr = left.values().as_ptr(); + let right_bytes = right.len().div_ceil(8); + let right_ptr = right.values().as_ptr(); + + let mut out = MutableBuffer::from_len_zeroed(byte_len); + let out_ptr = out.as_mut_ptr(); + + let full_words = bit_len / 64; + let mut right_bit_idx = 0; // how many bits we have processed from right + + for word_idx in 0..full_words { + let left_word = + unsafe { core::ptr::read_unaligned(left_ptr.add(word_idx * 8) as *const u64) }; + + if left_word == 0 { + continue; + } + + let need = left_word.count_ones(); + + // Absolute byte & bit offset of the first needed bit inside `right`. + let rb_byte = right_bit_idx / 8; + let rb_bit = (right_bit_idx & 7) as u32; + + let need_high = rb_bit != 0; + let safe16 = right_bytes.saturating_sub(16); + let mut r_bits; + if rb_byte <= safe16 { + let low = unsafe { core::ptr::read_unaligned(right_ptr.add(rb_byte) as *const u64) }; + if need_high { + let high = + unsafe { core::ptr::read_unaligned(right_ptr.add(rb_byte + 8) as *const u64) }; + r_bits = (low >> rb_bit) | (high << (64 - rb_bit)); + } else { + r_bits = low >> rb_bit; + } + } else { + let low = load_u64_zero_padded(right_ptr, right_bytes, rb_byte); + r_bits = low >> rb_bit; + if need_high { + let high = load_u64_zero_padded(right_ptr, right_bytes, rb_byte + 8); + r_bits |= high << (64 - rb_bit); + } + } + + // Mask off the high garbage. + r_bits &= 1u64.unbounded_shl(need).wrapping_sub(1); + + // The PDEP instruction: https://www.felixcloutier.com/x86/pdep + // It takes left_word as the mask, and deposit the packed bits into the sparse positions of `left_word`. + let result = _pdep_u64(r_bits, left_word); + + unsafe { + core::ptr::write_unaligned(out_ptr.add(word_idx * 8) as *mut u64, result); + } + + right_bit_idx += need as usize; + } + + // Handle remaining bits that are less than 64 bits + let tail_bits = bit_len & 63; + if tail_bits != 0 { + // Build the mask from the remaining bytes in one bounded copy + let tail_bytes = tail_bits.div_ceil(8); + let base = unsafe { left_ptr.add(full_words * 8) }; + let mut mask: u64; + if tail_bytes == 8 { + mask = unsafe { core::ptr::read_unaligned(base as *const u64) }; + } else { + let mut buf = [0u8; 8]; + unsafe { + core::ptr::copy_nonoverlapping(base, buf.as_mut_ptr(), tail_bytes); + } + mask = u64::from_le_bytes(buf); + } + // Clear any high bits beyond the actual tail length + mask &= (1u64 << tail_bits) - 1; + + if mask != 0 { + let need = mask.count_ones(); + + let rb_byte = right_bit_idx / 8; + let rb_bit = (right_bit_idx & 7) as u32; + + let need_high = rb_bit != 0; + let safe16 = right_bytes.saturating_sub(16); + let mut r_bits; + if rb_byte <= safe16 { + let low = + unsafe { core::ptr::read_unaligned(right_ptr.add(rb_byte) as *const u64) }; + if need_high { + let high = unsafe { + core::ptr::read_unaligned(right_ptr.add(rb_byte + 8) as *const u64) + }; + r_bits = (low >> rb_bit) | (high << (64 - rb_bit)); + } else { + r_bits = low >> rb_bit; + } + } else { + let low = load_u64_zero_padded(right_ptr, right_bytes, rb_byte); + r_bits = low >> rb_bit; + if need_high { + let high = load_u64_zero_padded(right_ptr, right_bytes, rb_byte + 8); + r_bits |= high << (64 - rb_bit); + } + } + + r_bits &= 1u64.unbounded_shl(need).wrapping_sub(1); + + let result = _pdep_u64(r_bits, mask); + + let tail_bytes = tail_bits.div_ceil(8); + let result_bytes = result.to_le_bytes(); + let dst_off = full_words * 8; + unsafe { + let dst = core::slice::from_raw_parts_mut(out_ptr, byte_len); + dst[dst_off..dst_off + tail_bytes].copy_from_slice(&result_bytes[..tail_bytes]); + } + } + } + + BooleanBuffer::new(out.into(), 0, bit_len) +} + +pub(super) fn row_selector_to_boolean_buffer(selection: &[RowSelector]) -> BooleanBuffer { + let mut buffer = BooleanBufferBuilder::new(8192); + for selector in selection.iter() { + if selector.skip { + buffer.append_n(selector.row_count, false); + } else { + buffer.append_n(selector.row_count, true); + } + } + buffer.finish() +} + +#[cfg(all(test, target_arch = "x86_64"))] +mod tests { + use super::*; + + #[test] + fn test_boolean_buffer_and_then_bmi2_large() { + use super::boolean_buffer_and_then_bmi2; + + // Test with larger buffer (more than 64 bits) + let size = 128; + let mut left_builder = BooleanBufferBuilder::new(size); + let mut right_bits = Vec::new(); + + // Create a pattern where every 3rd bit is set in left + for i in 0..size { + let is_set = i.is_multiple_of(3); + left_builder.append(is_set); + if is_set { + // For right buffer, alternate between true/false + right_bits.push(right_bits.len().is_multiple_of(2)); + } + } + let left = left_builder.finish(); + + let mut right_builder = BooleanBufferBuilder::new(right_bits.len()); + for bit in right_bits { + right_builder.append(bit); + } + let right = right_builder.finish(); + + let result_bmi2 = unsafe { boolean_buffer_and_then_bmi2(&left, &right) }; + let result_orig = boolean_buffer_and_then_fallback(&left, &right); + + assert_eq!(result_bmi2.len(), result_orig.len()); + assert_eq!(result_bmi2.len(), size); + + // Verify they produce the same result + for i in 0..size { + assert_eq!( + result_bmi2.value(i), + result_orig.value(i), + "Mismatch at position {i}" + ); + } + } + + #[test] + fn test_boolean_buffer_and_then_bmi2_edge_cases() { + use super::boolean_buffer_and_then_bmi2; + + // Test case: all bits set in left, alternating pattern in right + let mut left_builder = BooleanBufferBuilder::new(16); + for _ in 0..16 { + left_builder.append(true); + } + let left = left_builder.finish(); + + let mut right_builder = BooleanBufferBuilder::new(16); + for i in 0..16 { + right_builder.append(i % 2 == 0); + } + let right = right_builder.finish(); + + let result_bmi2 = unsafe { boolean_buffer_and_then_bmi2(&left, &right) }; + let result_orig = boolean_buffer_and_then_fallback(&left, &right); + + assert_eq!(result_bmi2.len(), result_orig.len()); + for i in 0..16 { + assert_eq!( + result_bmi2.value(i), + result_orig.value(i), + "Mismatch at position {i}" + ); + // Should be true for even indices, false for odd + assert_eq!(result_bmi2.value(i), i.is_multiple_of(2)); + } + + // Test case: no bits set in left + let mut left_empty_builder = BooleanBufferBuilder::new(8); + for _ in 0..8 { + left_empty_builder.append(false); + } + let left_empty = left_empty_builder.finish(); + let right_empty = BooleanBufferBuilder::new(0).finish(); + + let result_bmi2_empty = unsafe { boolean_buffer_and_then_bmi2(&left_empty, &right_empty) }; + let result_orig_empty = boolean_buffer_and_then_fallback(&left_empty, &right_empty); + + assert_eq!(result_bmi2_empty.len(), result_orig_empty.len()); + assert_eq!(result_bmi2_empty.len(), 8); + for i in 0..8 { + assert!(!result_bmi2_empty.value(i)); + assert!(!result_orig_empty.value(i)); + } + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml b/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml index c12a4cb13c5c2..25df4167b9ef9 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml +++ b/sandbox/plugins/analytics-backend-datafusion/rust/Cargo.toml @@ -95,6 +95,11 @@ crc32fast = { workspace = true } # rewrite. STANDARD alphabet matches the OpenSearch `binary` field wire contract. base64 = "0.22" +# Liquid Cache for decoded-batch Parquet caching (vendored in-memory subset, +# see sandbox/libs/dataformat-native/rust/liquid-cache/README.md). +opensearch-liquid-cache-core = { workspace = true } +opensearch-liquid-cache-datafusion = { workspace = true } + [dev-dependencies] criterion = { workspace = true } tempfile = { workspace = true } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs b/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs index 7726542d92dff..86f940895c9c3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/benches/row_id_bench.rs @@ -56,6 +56,7 @@ fn setup() -> (RuntimeManager, DataFusionRuntime) { runtime_env, custom_cache_manager: None, dynamic_limit_handle: handle, + liquid_cache_optimizer: None, }; (mgr, df_runtime) } diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs index c884828e71791..3ba0ce7f11e19 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/api.rs @@ -313,6 +313,8 @@ pub struct DataFusionRuntime { pub runtime_env: datafusion::execution::runtime_env::RuntimeEnv, pub custom_cache_manager: Option, pub dynamic_limit_handle: DynamicLimitHandle, + pub liquid_cache_optimizer: + Option>, } /// Per-file metadata passed from Java at shard view creation time. @@ -417,8 +419,23 @@ impl DataFusionRuntime { runtime_env, custom_cache_manager: None, dynamic_limit_handle: handle, + liquid_cache_optimizer: None, } } + + pub fn apply_liquid_cache_optimizers( + &self, + mut builder: SessionStateBuilder, + ) -> SessionStateBuilder { + if let Some(ref optimizer) = self.liquid_cache_optimizer { + builder = builder.with_physical_optimizer_rule(optimizer.clone()); + } + builder + } + + pub fn has_liquid_cache(&self) -> bool { + self.liquid_cache_optimizer.is_some() + } } /// Opaque shard view handle returned to the caller. @@ -511,6 +528,9 @@ pub fn create_global_runtime( cache_manager_ptr: i64, spill_dir: &str, spill_limit: i64, + liquid_cache_enabled: bool, + liquid_cache_size: i64, + liquid_cache_eviction_policy: &str, ) -> Result { if memory_pool_limit < 0 { return Err(DataFusionError::Configuration(format!( @@ -712,10 +732,21 @@ pub fn create_global_runtime( .with_cache_manager(cache_manager_config) .build()?; + let liquid_cache_optimizer = if liquid_cache_enabled { + let liquid_runtime = crate::liquid_cache::LiquidOnlyRuntime::init( + liquid_cache_size as u64, + liquid_cache_eviction_policy, + )?; + Some(liquid_runtime.optimizer()) + } else { + None + }; + let runtime = DataFusionRuntime { runtime_env, custom_cache_manager, dynamic_limit_handle, + liquid_cache_optimizer, }; Ok(Box::into_raw(Box::new(runtime)) as i64) } @@ -1511,6 +1542,23 @@ pub fn cancel_query(context_id: i64) { query_tracker::cancel_query(context_id); } +/// Clears all caching layers: Liquid Cache (in-memory) and DataFusion +/// metadata caches (parquet footers + column statistics). +/// +/// # Safety +/// `runtime_ptr` must be 0 or a valid pointer from `create_global_runtime`. +pub unsafe fn clear_liquid_cache(runtime_ptr: i64) { + crate::liquid_cache::LiquidOnlyRuntime::reset_cache_if_initialized(); + + if runtime_ptr == 0 { + return; + } + let runtime = &*(runtime_ptr as *const DataFusionRuntime); + if let Some(ref cache_manager) = runtime.custom_cache_manager { + cache_manager.clear_all(); + } +} + /// Converts SQL to Substrait plan bytes (test only). /// /// # Safety @@ -2174,7 +2222,8 @@ mod tests { // memory_guard SPILL_ENABLED flag off so per_query_spill_budget returns // Disabled (not Critical) — preventing the 1-partition clamp. let _guard = SPILL_GLOBALS_LOCK.lock().unwrap_or_else(|e| e.into_inner()); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, "", 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, "", 0, false, 0, "lru") + .expect("runtime build"); assert!(ptr > 0); let runtime = unsafe { &*(ptr as *const DataFusionRuntime) }; assert!( @@ -2211,8 +2260,16 @@ mod tests { "sentinel must exist before runtime build" ); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024) - .expect("runtime build"); + let ptr = create_global_runtime( + 64 * 1024 * 1024, + 0, + spill_path, + 1024 * 1024 * 1024, + false, + 0, + "lru", + ) + .expect("runtime build"); assert!(ptr > 0); // Phase 1 renames the sentinel file to leaked_from_prior_run.tmp.stale @@ -2275,8 +2332,16 @@ mod tests { assert!(top_file.exists()); assert!(nested_file.exists()); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 1024 * 1024 * 1024) - .expect("runtime build"); + let ptr = create_global_runtime( + 64 * 1024 * 1024, + 0, + spill_path, + 1024 * 1024 * 1024, + false, + 0, + "lru", + ) + .expect("runtime build"); assert!(ptr > 0); // Phase 1: original names gone (renamed to *.stale). @@ -2320,7 +2385,8 @@ mod tests { // accidental fs::remove_dir_all("") would error and break boot. This test // guards against future refactors that hoist the cleanup out of the else-branch. let _guard = SPILL_GLOBALS_LOCK.lock().unwrap_or_else(|e| e.into_inner()); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, "", 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, "", 0, false, 0, "lru") + .expect("runtime build"); assert!(ptr > 0); unsafe { close_global_runtime(ptr) }; } @@ -2338,7 +2404,7 @@ mod tests { fs::write(&bad_path, b"not a directory").expect("seed regular file"); let bad_path_str = bad_path.to_str().expect("utf-8 path"); - let err = create_global_runtime(64 * 1024 * 1024, 0, bad_path_str, 0) + let err = create_global_runtime(64 * 1024 * 1024, 0, bad_path_str, 0, false, 0, "lru") .expect_err("create_global_runtime must fail when cleanup fails"); // Operator-facing message must include the offending path + io kind so the @@ -2412,7 +2478,7 @@ mod tests { fs::set_permissions(parent.path(), locked).expect("chmod parent 555"); let spill_str = spill_path.to_str().expect("utf-8 path"); - let result = create_global_runtime(64 * 1024 * 1024, 0, spill_str, 0); + let result = create_global_runtime(64 * 1024 * 1024, 0, spill_str, 0, false, 0, "lru"); // Restore parent perms via RAII so tempdir cleanup runs even on assertion failure. struct RestorePerms<'a> { @@ -2491,7 +2557,8 @@ mod tests { assert!(link.is_symlink(), "precondition: link is a symlink"); let spill_str = spill_path.to_str().expect("utf-8 path"); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_str, 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_str, 0, false, 0, "lru") + .expect("runtime build"); assert!(ptr > 0); // Phase 1: symlink is renamed inline (fs::rename does not follow symlinks). @@ -2541,7 +2608,8 @@ mod tests { fs::create_dir(&leaked_b).expect("create leaked b"); fs::write(leaked_b.join("tmp_002.arrow"), b"data b").expect("write b"); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0, false, 0, "lru") + .expect("runtime build"); assert!(ptr > 0); // Originals were renamed inline — gone immediately by the original name. @@ -2573,7 +2641,8 @@ mod tests { fs::create_dir(&leftover).expect("create leftover"); fs::write(leftover.join("residue.arrow"), b"prior boot data").expect("write residue"); - let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0).expect("runtime build"); + let ptr = create_global_runtime(64 * 1024 * 1024, 0, spill_path, 0, false, 0, "lru") + .expect("runtime build"); assert!(ptr > 0); let cleaned = wait_until(2000, || !leftover.exists()); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs index 60864b563014b..270f094a22010 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/ffm.rs @@ -156,12 +156,34 @@ pub unsafe extern "C" fn df_create_global_runtime( spill_dir_ptr: *const u8, spill_dir_len: i64, spill_limit: i64, + liquid_cache_enabled: i64, + liquid_cache_size: i64, + liquid_cache_eviction_policy_ptr: *const u8, + liquid_cache_eviction_policy_len: i64, ) -> i64 { crate::memory_guard::set_pool_limit_for_guard(memory_pool_limit); let spill_dir = str_from_raw(spill_dir_ptr, spill_dir_len) .map_err(|e| format!("df_create_global_runtime: {}", e))?; - api::create_global_runtime(memory_pool_limit, cache_manager_ptr, spill_dir, spill_limit) - .map_err(|e| e.to_string()) + let liquid_cache_eviction_policy = str_from_raw( + liquid_cache_eviction_policy_ptr, + liquid_cache_eviction_policy_len, + ) + .map_err(|e| { + format!( + "df_create_global_runtime: liquid_cache_eviction_policy: {}", + e + ) + })?; + api::create_global_runtime( + memory_pool_limit, + cache_manager_ptr, + spill_dir, + spill_limit, + liquid_cache_enabled != 0, + liquid_cache_size, + liquid_cache_eviction_policy, + ) + .map_err(|e| e.to_string()) } #[no_mangle] @@ -169,6 +191,39 @@ pub unsafe extern "C" fn df_close_global_runtime(ptr: i64) { api::close_global_runtime(ptr); } +// ---- Liquid Cache FFM entry points ---- + +#[no_mangle] +pub unsafe extern "C" fn df_clear_liquid_cache(runtime_ptr: i64) { + api::clear_liquid_cache(runtime_ptr); +} + +#[no_mangle] +pub extern "C" fn df_set_liquid_cache_enabled(enabled: i64) { + crate::liquid_cache::LiquidOnlyRuntime::set_enabled_globally(enabled != 0); +} + +#[no_mangle] +pub extern "C" fn df_set_liquid_cache_memory_limit(bytes: i64) { + if bytes >= 0 { + crate::liquid_cache::LiquidOnlyRuntime::set_max_memory_bytes_globally(bytes as usize); + } +} + +#[no_mangle] +pub extern "C" fn df_set_liquid_cache_selectivity_threshold(permille: i64) { + if (0..=1000).contains(&permille) { + crate::liquid_cache::set_lc_selectivity_threshold(permille as f64 / 1000.0); + } +} + +#[no_mangle] +pub extern "C" fn df_set_liquid_cache_max_columns(count: i64) { + if count > 0 { + crate::liquid_cache::set_lc_max_columns(count as usize); + } +} + // ---- Memory pool observability and dynamic limit ---- /// Returns current memory pool usage in bytes. @@ -489,6 +544,7 @@ pub unsafe extern "C" fn df_stream_next(stream_ptr: i64) -> i64 { #[no_mangle] pub unsafe extern "C" fn df_stream_close(stream_ptr: i64) { api::stream_close(stream_ptr); + crate::liquid_cache::LiquidOnlyRuntime::log_stats_if_initialized(); } /// Returns execution metrics as JSON bytes for the given stream. diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs index c35b6ea8d9f99..66bee6b67c35f 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/helper.rs @@ -178,6 +178,15 @@ pub fn build_query_session_context( // combine-partial-final physical optimizer pass. builder = builder.with_physical_optimizer_rules(physical_optimizer_rules_without_combine()); } + // Only apply the physical optimizer (LocalModeLiquidCacheOptimizer) — it + // wraps ParquetSource with LiquidParquetSource for filter pushdown + + // decoded-batch caching. The LineageOptimizer (logical) is excluded because + // it adds planning overhead that causes regression. + if crate::liquid_cache::LiquidOnlyRuntime::is_enabled_globally() { + if let Some(optimizer) = crate::liquid_cache::LiquidOnlyRuntime::optimizer_globally() { + builder = builder.with_physical_optimizer_rule(optimizer); + } + } let state = builder.build(); let ctx = SessionContext::new_with_state(state); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs index 957b0d15fa0dc..200e0f5fc3674 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/parquet_bridge.rs @@ -46,6 +46,7 @@ use datafusion_datasource::source::DataSourceExec; use datafusion_datasource::PartitionedFile; use futures::future::BoxFuture; use futures::FutureExt; +use native_bridge_common::log_debug; use object_store::{ObjectStore, ObjectStoreExt}; use prost::bytes::Bytes; @@ -177,16 +178,22 @@ pub struct RowGroupStreamConfig { /// /// Predicate pushdown IS safe here — `RowSelection` is applied during decode, /// so the predicate sees only selected rows and indices stay aligned. +/// +/// `selectivity` is the fraction of rows in this RG that are candidates +/// (0.0 = no rows, 1.0 = all rows). Used to gate LC: highly selective +/// queries (low selectivity) benefit from LC's column-by-column decode +/// with filter pushdown. pub fn create_row_selection_stream( config: &RowGroupStreamConfig, rg_index: usize, selection: RowSelection, push_predicate: bool, + selectivity: f64, ) -> Result<(SendableRecordBatchStream, Arc)> { let num_rgs = config.metadata.num_row_groups(); let mut access_plan = ParquetAccessPlan::new_none(num_rgs); access_plan.set(rg_index, RowGroupAccess::Selection(selection)); - create_stream_with_access_plan(config, access_plan, push_predicate) + create_stream_with_access_plan(config, access_plan, push_predicate, selectivity) } /// Create a stream that reads a single row group with full scan. @@ -218,13 +225,15 @@ pub fn create_full_scan_stream( // rows with gaps?) so the caller's post-decode mask alignment stays // correct. Documented in `pr-reviews/EVALUATOR_HANDOFF.md`. access_plan.set(rg_index, RowGroupAccess::Scan); - create_stream_with_access_plan(config, access_plan, false) + // Full scan = selectivity 1.0 (all rows). + create_stream_with_access_plan(config, access_plan, false, 1.0) } fn create_stream_with_access_plan( config: &RowGroupStreamConfig, access_plan: ParquetAccessPlan, push_predicate: bool, + selectivity: f64, ) -> Result<(SendableRecordBatchStream, Arc)> { let partitioned_file = PartitionedFile::new(config.file_path.clone(), config.file_size) .with_extensions(Arc::new(access_plan)); @@ -250,9 +259,76 @@ fn create_stream_with_access_plan( } } - let mut config_builder = + // Liquid Cache engagement gate: wrap the ParquetSource with + // LiquidParquetSource when ALL projected columns are cacheable + // (numeric/date/timestamp/boolean) and no predicate column is a string. + // The opener decides per-file whether to STREAM or DELEGATE. + let use_lc = { + let lc_globally_enabled = crate::liquid_cache::LiquidOnlyRuntime::is_enabled_globally(); + let max_cols = crate::liquid_cache::lc_max_columns(); + let all_numeric_projection = config.projection.as_ref().map_or(false, |proj| { + !proj.is_empty() + && proj.len() <= max_cols + && proj.iter().all(|&idx| { + config.full_schema.fields().get(idx).map_or(false, |f| { + f.data_type().is_numeric() + || matches!( + f.data_type(), + datafusion::arrow::datatypes::DataType::Date32 + | datafusion::arrow::datatypes::DataType::Date64 + | datafusion::arrow::datatypes::DataType::Timestamp(_, _) + | datafusion::arrow::datatypes::DataType::Boolean + ) + }) + }) + }); + let predicate_has_string = config.predicate.as_ref().map_or(false, |pred| { + let referenced = datafusion::physical_expr::utils::collect_columns(pred); + referenced.iter().any(|col| { + config + .full_schema + .fields() + .get(col.index()) + .map_or(false, |f| { + matches!( + f.data_type(), + datafusion::arrow::datatypes::DataType::Utf8 + | datafusion::arrow::datatypes::DataType::Utf8View + | datafusion::arrow::datatypes::DataType::LargeUtf8 + | datafusion::arrow::datatypes::DataType::Binary + | datafusion::arrow::datatypes::DataType::BinaryView + | datafusion::arrow::datatypes::DataType::LargeBinary + ) + }) + }) + }); + let result = lc_globally_enabled && all_numeric_projection && !predicate_has_string; + log_debug!( + "[parquet_bridge] gate: selectivity={:.3}, all_numeric_proj={}, pred_has_string={}, use_lc={}", + selectivity, + all_numeric_projection, + predicate_has_string, + result, + ); + result + }; + + let mut config_builder = if use_lc { + if let Some(cache_ref) = crate::liquid_cache::LiquidOnlyRuntime::cache_ref_globally() { + let liquid_source = liquid_cache_datafusion::LiquidParquetSource::from_parquet_source( + parquet_source, + cache_ref, + ); + FileScanConfigBuilder::new(config.store_url.clone(), Arc::new(liquid_source)) + .with_file(partitioned_file) + } else { + FileScanConfigBuilder::new(config.store_url.clone(), Arc::new(parquet_source)) + .with_file(partitioned_file) + } + } else { FileScanConfigBuilder::new(config.store_url.clone(), Arc::new(parquet_source)) - .with_file(partitioned_file); + .with_file(partitioned_file) + }; if let Some(ref proj) = config.projection { // Empty projection (e.g. COUNT(*)) is honoured as "read no diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs index 791a3ec9db04b..ce4ea0fc09878 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/indexed_table/stream.rs @@ -690,12 +690,14 @@ impl IndexedStream { rg: &RowGroupInfo, selection: RowSelection, push_predicate: bool, + selectivity: f64, ) -> Result<(SendableRecordBatchStream, Arc)> { parquet_bridge::create_row_selection_stream( &self.bridge_config(), rg.index, selection, push_predicate, + selectivity, ) } @@ -1079,6 +1081,15 @@ impl IndexedStream { let min_skip_run = self.pick_min_skip_run(candidates.len() as usize, rg.num_rows as usize); + // Candidate selectivity for this RG — forwarded to + // parquet_bridge so the Liquid Cache gate can log/decide + // per-RG engagement. + let selectivity = if rg.num_rows > 0 { + candidates.len() as f64 / rg.num_rows as f64 + } else { + 1.0 + }; + // Metrics: track which regime we landed in, using the // same counters as before so `EXPLAIN ANALYZE` output // stays comparable. @@ -1158,7 +1169,7 @@ impl IndexedStream { && !alignment_risk && !self.evaluator.forbid_parquet_pushdown(); - match self.create_row_selection_stream(&rg, selection, push) { + match self.create_row_selection_stream(&rg, selection, push, selectivity) { Ok((stream, plan)) => { if let Some(ref timer) = self.metrics.parquet_time { timer.add_duration(t_plan.elapsed()); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs index 8708627abe3a4..7f2e9eda7e53a 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/lib.rs @@ -31,6 +31,7 @@ pub mod ffm; pub mod helper; pub mod indexed_executor; pub mod indexed_table; +pub mod liquid_cache; pub mod local_executor; pub mod memory; pub mod memory_guard; diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/liquid_cache.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/liquid_cache.rs new file mode 100644 index 0000000000000..73faa9945ef30 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/liquid_cache.rs @@ -0,0 +1,191 @@ +/* SPDX-License-Identifier: Apache-2.0 */ + +//! Liquid Cache integration — in-memory decoded-batch cache for Parquet scans. +//! +//! Backed by the vendored in-memory liquid-cache subset +//! (`sandbox/libs/dataformat-native/rust/liquid-cache`). There is no disk +//! tier: entries are transcoded to the Liquid format under memory pressure +//! and evicted when the budget is exhausted (`TranscodeEvict`). + +use std::sync::{ + atomic::{AtomicBool, AtomicU32, Ordering}, + Arc, OnceLock, +}; + +use datafusion::{common::DataFusionError, physical_optimizer::PhysicalOptimizerRule}; + +use liquid_cache::cache::{CachePolicy, LiquidCache, TranscodeEvict}; +use liquid_cache::cache_policies::{LiquidPolicy, LruPolicy}; +use liquid_cache_datafusion::{LiquidCacheParquet, LiquidCacheParquetRef, LocalModeOptimizer}; +use native_bridge_common::log_debug; + +const EVICTION_POLICY_LRU: &str = "lru"; + +/// Liquid cache batch size — must be a power of two (upstream default). +const LIQUID_CACHE_BATCH_SIZE: usize = 8192; + +static INSTANCE: OnceLock> = OnceLock::new(); + +// Dynamic tuning knobs — updated via cluster settings without restart. +// Selectivity threshold stored as permille (800 = 0.800) to avoid floating-point atomics. +static LC_SELECTIVITY_THRESHOLD_PERMILLE: AtomicU32 = AtomicU32::new(800); +static LC_MAX_COLUMNS: AtomicU32 = AtomicU32::new(10); + +pub fn lc_selectivity_threshold() -> f64 { + LC_SELECTIVITY_THRESHOLD_PERMILLE.load(Ordering::Relaxed) as f64 / 1000.0 +} + +pub fn lc_max_columns() -> usize { + LC_MAX_COLUMNS.load(Ordering::Relaxed) as usize +} + +pub fn set_lc_selectivity_threshold(value: f64) { + let permille = (value * 1000.0) as u32; + LC_SELECTIVITY_THRESHOLD_PERMILLE.store(permille, Ordering::Relaxed); +} + +pub fn set_lc_max_columns(value: usize) { + LC_MAX_COLUMNS.store(value as u32, Ordering::Relaxed); +} + +pub struct LiquidOnlyRuntime { + optimizer: Arc, + cache_ref: LiquidCacheParquetRef, + storage: Arc, + enabled: AtomicBool, +} + +impl LiquidOnlyRuntime { + pub fn init( + max_cache_bytes: u64, + eviction_policy: &str, + ) -> Result<&'static Self, DataFusionError> { + INSTANCE + .get_or_init(|| Self::build(max_cache_bytes, eviction_policy)) + .as_ref() + .map_err(|e| DataFusionError::Execution(e.clone())) + } + + fn build(max_cache_bytes: u64, eviction_policy: &str) -> Result { + let policy: Box = match eviction_policy { + EVICTION_POLICY_LRU => Box::new(LruPolicy::new()), + _ => Box::new(LiquidPolicy::new()), + }; + + let cache_ref: LiquidCacheParquetRef = Arc::new(LiquidCacheParquet::new( + LIQUID_CACHE_BATCH_SIZE, + max_cache_bytes as usize, + policy, + Box::new(TranscodeEvict), + )); + let optimizer = Arc::new(LocalModeOptimizer::new(cache_ref.clone())); + + Ok(Self { + optimizer, + storage: cache_ref.storage().clone(), + cache_ref, + enabled: AtomicBool::new(true), + }) + } + + pub fn optimizer(&self) -> Arc { + self.optimizer.clone() + } + + pub fn cache_ref(&self) -> &LiquidCacheParquetRef { + &self.cache_ref + } + + pub fn cache_ref_globally() -> Option { + Self::get().map(|rt| rt.cache_ref.clone()) + } + + pub fn optimizer_globally() -> Option> { + Self::get().map(|rt| rt.optimizer()) + } + + pub fn is_enabled(&self) -> bool { + self.enabled.load(Ordering::Relaxed) + } + + pub fn set_enabled(&self, enabled: bool) { + self.enabled.store(enabled, Ordering::Relaxed); + } + + pub fn set_max_memory_bytes(&self, bytes: usize) { + self.storage.budget().set_max_memory_bytes(bytes); + } + + pub fn reset_cache(&self) { + // Safety: callers only reset via the explicit REST clear action; + // concurrent queries may observe a cold cache, which is benign for + // a read-through cache (they fall back to Parquet decode). + unsafe { self.cache_ref.reset() }; + let stats = self.storage.stats(); + log_debug!( + "[LiquidCache] cache cleared: entries={}, mem_usage={} bytes", + stats.total_entries, + stats.memory_usage_bytes + ); + } + + pub fn log_stats(&self) { + let s = self.storage.stats(); + log_debug!( + "[LiquidCache] entries={}, mem={}/{}, arrow={}({} B), liquid={}({} B)", + s.total_entries, + s.memory_usage_bytes, + s.max_memory_bytes, + s.memory_arrow_entries, + s.memory_arrow_bytes, + s.memory_liquid_entries, + s.memory_liquid_bytes, + ); + let mem_pct = if s.max_memory_bytes > 0 { + (s.memory_usage_bytes as f64 / s.max_memory_bytes as f64 * 100.0) as u64 + } else { + 0 + }; + log_debug!( + "[LiquidCache] hits={}, misses={}, predicate_evals={}, mem_evictions={}, transcodes={}, mem_pressure={}%", + s.runtime.cache_hit, + s.runtime.cache_miss, + s.runtime.eval_predicate, + s.runtime.memory_evictions, + s.runtime.transcodes, + mem_pct, + ); + } + + fn get() -> Option<&'static Self> { + INSTANCE.get().and_then(|r| r.as_ref().ok()) + } + + pub fn is_enabled_globally() -> bool { + Self::get().map(|rt| rt.is_enabled()).unwrap_or(false) + } + + pub fn set_enabled_globally(enabled: bool) { + if let Some(rt) = Self::get() { + rt.set_enabled(enabled); + } + } + + pub fn set_max_memory_bytes_globally(bytes: usize) { + if let Some(rt) = Self::get() { + rt.set_max_memory_bytes(bytes); + } + } + + pub fn log_stats_if_initialized() { + if let Some(rt) = Self::get() { + rt.log_stats(); + } + } + + pub fn reset_cache_if_initialized() { + if let Some(rt) = Self::get() { + rt.reset_cache(); + } + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs index 58c37458a4332..af4bd4254a102 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/src/session_context.rs @@ -243,6 +243,8 @@ pub async unsafe fn create_session_context( .execution .split_file_groups_by_statistics = true; } + // LC session config is applied only when LC is actually engaged (inside + // parquet_bridge.rs), not globally. let mut state_builder = SessionStateBuilder::new() .with_config(config) @@ -263,6 +265,15 @@ pub async unsafe fn create_session_context( runtime.runtime_env.cache_manager.get_file_metadata_cache(), ))); } + // Only the physical optimizer (LocalModeLiquidCacheOptimizer) is applied. + // It wraps ParquetSource with LiquidParquetSource for decoded-batch caching. + // The LineageOptimizer (logical) is excluded — it adds O(nodes*exprs) + // planning overhead that causes 2x regression on string-heavy queries. + if crate::liquid_cache::LiquidOnlyRuntime::is_enabled_globally() { + if let Some(ref optimizer) = runtime.liquid_cache_optimizer { + state_builder = state_builder.with_physical_optimizer_rule(optimizer.clone()); + } + } let state = state_builder.build(); @@ -394,7 +405,7 @@ pub async unsafe fn create_session_context( shard_view.sort_fields.len() ); - error!( + log_debug!( "create_session_context: successfully registered table '{}', table_name_len={}", table_name, table_name.len() diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/tests/local_exec_test.rs b/sandbox/plugins/analytics-backend-datafusion/rust/tests/local_exec_test.rs index 0587b92b05b53..272002e2e3dd6 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/tests/local_exec_test.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/tests/local_exec_test.rs @@ -82,6 +82,10 @@ impl RuntimeGuard { spill_bytes.as_ptr(), spill_bytes.len() as i64, 64 * 1024 * 1024, + 0, // liquid_cache_enabled — off for this test + 0, // liquid_cache_size + b"lru".as_ptr(), + 3, // liquid_cache_eviction_policy ) }; assert!(rc > 0, "df_create_global_runtime returned {}", rc); diff --git a/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs b/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs index 0a23451ec6b65..2448278b9c0a7 100644 --- a/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs +++ b/sandbox/plugins/analytics-backend-datafusion/rust/tests/stringview_gc_test.rs @@ -65,6 +65,10 @@ impl RuntimeGuard { spill_bytes.as_ptr(), spill_bytes.len() as i64, 64 * 1024 * 1024, + 0, // liquid_cache_enabled — off for this test + 0, // liquid_cache_size + b"lru".as_ptr(), + 3, // liquid_cache_eviction_policy ) }; assert!(rc > 0, "df_create_global_runtime returned {}", rc); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java index e05d6127c9c0d..3ce6e6dd79f14 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionPlugin.java @@ -16,6 +16,7 @@ import org.opensearch.arrow.allocator.ArrowNativeAllocator; import org.opensearch.arrow.spi.NativeAllocator; import org.opensearch.arrow.spi.PoolGroup; +import org.opensearch.be.datafusion.action.LiquidCacheClearAction; import org.opensearch.be.datafusion.action.stats.DataFusionStatsActionType; import org.opensearch.be.datafusion.action.stats.RestDataFusionStatsAction; import org.opensearch.be.datafusion.action.stats.TransportDataFusionStatsAction; @@ -33,6 +34,7 @@ import org.opensearch.common.settings.Setting; import org.opensearch.common.settings.Settings; import org.opensearch.common.settings.SettingsFilter; +import org.opensearch.common.util.FeatureFlags; import org.opensearch.core.action.ActionResponse; import org.opensearch.core.common.breaker.CircuitBreaker; import org.opensearch.core.common.io.stream.NamedWriteableRegistry; @@ -560,6 +562,9 @@ public Collection createComponents( .spillDirectory(spillDir) .datanodeMultiplier(DatafusionSettings.CONCURRENCY_DATANODE_MULTIPLIER.get(settings)) .clusterSettings(clusterService.getClusterSettings()) + .liquidCacheEnabled(FeatureFlags.isEnabled(FeatureFlags.LIQUID_CACHE_EXPERIMENTAL_SETTING)) + .liquidCacheSize(DatafusionSettings.LIQUID_CACHE_SIZE.get(settings)) + .liquidCacheEvictionPolicy(DatafusionSettings.LIQUID_CACHE_EVICTION_POLICY.get(settings)) .build(); dataFusionService.start(); logger.debug("DataFusion plugin initialized — memory pool {}B, spill limit {}B", memoryPoolLimit, spillMemoryLimit); @@ -651,6 +656,31 @@ public Collection createComponents( DATAFUSION_MEMORY_GUARD_EXECUTION_CRITICAL_THRESHOLD.get(settings) ); + // Wire Liquid Cache dynamic settings only when the experimental flag is enabled. + if (FeatureFlags.isEnabled(FeatureFlags.LIQUID_CACHE_EXPERIMENTAL_SETTING)) { + clusterService.getClusterSettings() + .addSettingsUpdateConsumer(DatafusionSettings.LIQUID_CACHE_ENABLED, enabled -> NativeBridge.setLiquidCacheEnabled(enabled)); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer(DatafusionSettings.LIQUID_CACHE_SIZE, bytes -> NativeBridge.setLiquidCacheMemoryLimit(bytes)); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + DatafusionSettings.LIQUID_CACHE_SELECTIVITY_THRESHOLD, + threshold -> NativeBridge.setLiquidCacheSelectivityThreshold((long) (threshold * 1000)) + ); + clusterService.getClusterSettings() + .addSettingsUpdateConsumer( + DatafusionSettings.LIQUID_CACHE_MAX_COLUMNS, + count -> NativeBridge.setLiquidCacheMaxColumns((long) count) + ); + + NativeBridge.setLiquidCacheEnabled(DatafusionSettings.LIQUID_CACHE_ENABLED.get(settings)); + NativeBridge.setLiquidCacheMemoryLimit(DatafusionSettings.LIQUID_CACHE_SIZE.get(settings)); + NativeBridge.setLiquidCacheSelectivityThreshold( + (long) (DatafusionSettings.LIQUID_CACHE_SELECTIVITY_THRESHOLD.get(settings) * 1000) + ); + NativeBridge.setLiquidCacheMaxColumns((long) DatafusionSettings.LIQUID_CACHE_MAX_COLUMNS.get(settings)); + } + this.datafusionSettings = new DatafusionSettings(clusterService); // Expose per-task native-memory usage to search backpressure. @@ -993,6 +1023,13 @@ public List getRestHandlers( if (dataFusionService == null) { return Collections.emptyList(); } + if (FeatureFlags.isEnabled(FeatureFlags.LIQUID_CACHE_EXPERIMENTAL_SETTING)) { + return List.of( + new RestDataFusionStatsAction(), + new org.opensearch.be.datafusion.action.stats.RestClearCacheAction(), + new LiquidCacheClearAction(dataFusionService) + ); + } return List.of(new RestDataFusionStatsAction(), new org.opensearch.be.datafusion.action.stats.RestClearCacheAction()); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java index 31a0838b18ee8..420a60a1f8f80 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DataFusionService.java @@ -49,6 +49,9 @@ public class DataFusionService extends AbstractLifecycleComponent { private final double datanodeMultiplier; private final double coordinatorMultiplier; private final ClusterSettings clusterSettings; + private final boolean liquidCacheEnabled; + private final long liquidCacheSize; + private final String liquidCacheEvictionPolicy; /** Handle to the native DataFusion global runtime (memory pool + cache). */ private volatile NativeRuntimeHandle runtimeHandle; @@ -64,6 +67,9 @@ private DataFusionService(Builder builder) { this.datanodeMultiplier = builder.datanodeMultiplier; this.coordinatorMultiplier = builder.coordinatorMultiplier; this.clusterSettings = builder.clusterSettings; + this.liquidCacheEnabled = builder.liquidCacheEnabled; + this.liquidCacheSize = builder.liquidCacheSize; + this.liquidCacheEvictionPolicy = builder.liquidCacheEvictionPolicy; } /** Creates a new builder. */ @@ -98,7 +104,15 @@ protected void doStart() { } try { - long ptr = NativeBridge.createGlobalRuntime(memoryPoolLimit, cacheManagerPtr, spillDirectory, spillMemoryLimit); + long ptr = NativeBridge.createGlobalRuntime( + memoryPoolLimit, + cacheManagerPtr, + spillDirectory, + spillMemoryLimit, + liquidCacheEnabled, + liquidCacheSize, + liquidCacheEvictionPolicy + ); if (cacheHandle != null) { cacheHandle.markConsumed(); } @@ -296,6 +310,13 @@ public void onFilesDeleted(Collection filePaths) { } } + /** + * Clears the Liquid Cache and DataFusion internal caches. + */ + public void clearLiquidCache() { + NativeBridge.clearLiquidCache(getNativeRuntime().get()); + } + private void releaseRuntime() { NativeRuntimeHandle handle = runtimeHandle; if (handle != null) { @@ -316,6 +337,9 @@ public static class Builder { private double datanodeMultiplier = 1.0; private double coordinatorMultiplier = 1.0; private ClusterSettings clusterSettings; + private boolean liquidCacheEnabled = false; + private long liquidCacheSize = 1L * 1024 * 1024 * 1024; // 1GB default + private String liquidCacheEvictionPolicy = "lru"; private Builder() {} @@ -376,6 +400,33 @@ public Builder clusterSettings(ClusterSettings clusterSettings) { return this; } + /** + * Enables or disables Liquid Cache for byte-level Parquet caching. + * @param enabled whether to enable liquid cache + */ + public Builder liquidCacheEnabled(boolean enabled) { + this.liquidCacheEnabled = enabled; + return this; + } + + /** + * Sets the Liquid Cache size in bytes. + * @param bytes cache size limit + */ + public Builder liquidCacheSize(long bytes) { + this.liquidCacheSize = bytes; + return this; + } + + /** + * Sets the Liquid Cache eviction policy (liquid, lru). + * @param policy the eviction policy + */ + public Builder liquidCacheEvictionPolicy(String policy) { + this.liquidCacheEvictionPolicy = policy; + return this; + } + /** Builds the {@link DataFusionService}. */ public DataFusionService build() { return new DataFusionService(this); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java index 5f3fbb818e865..4828db8a206d3 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/DatafusionSettings.java @@ -188,6 +188,69 @@ static String derivePoolMinDefault(Settings settings, int percent) { // ── All settings registered by the plugin ── + /** + * Dynamically enables or disables Liquid Cache for new queries. + * When false, optimizers are not injected and queries bypass the cache. + * The cache remains initialized (for fast re-enable) but idle. + */ + public static final Setting LIQUID_CACHE_ENABLED = Setting.boolSetting( + "datafusion.liquid_cache.enabled", + true, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Controls the Liquid Cache max memory size in bytes for byte-level Parquet caching. + * Only used when liquid cache is enabled via the experimental feature flag. + */ + public static final Setting LIQUID_CACHE_SIZE = Setting.longSetting( + "datafusion.liquid_cache.size_bytes", + 1L * 1024 * 1024 * 1024, // 1GB default + 0L, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Liquid Cache eviction policy. + *
          + *
        • {@code liquid} (default) — Independent FIFO queues per batch type (LiquidPolicy)
          • + *
        • {@code lru} — Standard LRU eviction across all entry types
          • + *
        + */ + public static final Setting LIQUID_CACHE_EVICTION_POLICY = Setting.simpleString( + "datafusion.liquid_cache.eviction_policy", + "lru", + Setting.Property.NodeScope, + Setting.Property.Final + ); + + /** + * Selectivity threshold for LC STREAM vs DELEGATE (0.0 to 1.0). + * Files with selectivity below this threshold are delegated to plain parquet. + */ + public static final Setting LIQUID_CACHE_SELECTIVITY_THRESHOLD = Setting.floatSetting( + "datafusion.liquid_cache.selectivity_threshold", + 0.8f, + 0.0f, + 1.0f, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + + /** + * Maximum number of output columns for LC engagement. + * Queries projecting more columns than this are skipped by the optimizer. + */ + public static final Setting LIQUID_CACHE_MAX_COLUMNS = Setting.intSetting( + "datafusion.liquid_cache.max_columns", + 10, + 1, + Setting.Property.NodeScope, + Setting.Property.Dynamic + ); + public static final List> ALL_SETTINGS = List.of( // Runtime settings — memory pool, spill, reduce input mode, and budget tuning @@ -229,7 +292,13 @@ static String derivePoolMinDefault(Settings settings, int percent) { INDEXED_PUSHDOWN_FILTERS, INDEXED_MIN_SKIP_RUN_DEFAULT, INDEXED_MIN_SKIP_RUN_SELECTIVITY_THRESHOLD, - INDEXED_FORCE_STRATEGY + INDEXED_FORCE_STRATEGY, + + LIQUID_CACHE_ENABLED, + LIQUID_CACHE_SIZE, + LIQUID_CACHE_EVICTION_POLICY, + LIQUID_CACHE_SELECTIVITY_THRESHOLD, + LIQUID_CACHE_MAX_COLUMNS ); // ── Snapshot management ── diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/LiquidCacheClearAction.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/LiquidCacheClearAction.java new file mode 100644 index 0000000000000..e372a5aa84ed1 --- /dev/null +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/action/LiquidCacheClearAction.java @@ -0,0 +1,64 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.be.datafusion.action; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.opensearch.be.datafusion.DataFusionService; +import org.opensearch.core.rest.RestStatus; +import org.opensearch.core.xcontent.XContentBuilder; +import org.opensearch.rest.BaseRestHandler; +import org.opensearch.rest.BytesRestResponse; +import org.opensearch.rest.RestRequest; +import org.opensearch.transport.client.node.NodeClient; + +import java.util.List; + +/** + * REST handler for {@code POST _plugins/analytics_backend_datafusion/liquid_cache/clear}. + *

        + * Clears all Liquid Cache entries (in-memory) and DataFusion internal caches. + */ +public class LiquidCacheClearAction extends BaseRestHandler { + + private static final Logger logger = LogManager.getLogger(LiquidCacheClearAction.class); + private final DataFusionService dataFusionService; + + public LiquidCacheClearAction(DataFusionService dataFusionService) { + this.dataFusionService = dataFusionService; + } + + @Override + public String getName() { + return "liquid_cache_clear_action"; + } + + @Override + public List routes() { + return List.of(new Route(RestRequest.Method.POST, "_plugins/analytics_backend_datafusion/liquid_cache/clear")); + } + + @Override + protected RestChannelConsumer prepareRequest(RestRequest request, NodeClient client) { + return channel -> { + try { + logger.info("Clearing Liquid Cache via REST endpoint"); + dataFusionService.clearLiquidCache(); + logger.info("Liquid Cache cleared successfully"); + XContentBuilder builder = channel.newBuilder(); + builder.startObject(); + builder.field("acknowledged", true); + builder.endObject(); + channel.sendResponse(new BytesRestResponse(RestStatus.OK, builder)); + } catch (Exception e) { + channel.sendResponse(new BytesRestResponse(channel, e)); + } + }; + } +} diff --git a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java index bf24dcb0330f4..91cfe2fb36444 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/main/java/org/opensearch/be/datafusion/nativelib/NativeBridge.java @@ -143,6 +143,11 @@ private static RuntimeException rethrowConverted(RuntimeException e) { private static final MethodHandle SET_SCOPED_PAGE_INDEX_ENABLED; private static final MethodHandle CANCEL_QUERY; private static final MethodHandle SET_CANCEL_STATS_THRESHOLD_MS; + private static final MethodHandle CLEAR_LIQUID_CACHE; + private static final MethodHandle SET_LIQUID_CACHE_ENABLED; + private static final MethodHandle SET_LIQUID_CACHE_MEMORY_LIMIT; + private static final MethodHandle SET_LIQUID_CACHE_SELECTIVITY_THRESHOLD; + private static final MethodHandle SET_LIQUID_CACHE_MAX_COLUMNS; private static final MethodHandle STATS; private static final MethodHandle QUERY_REGISTRY_TOP_N_BY_CURRENT; private static final MethodHandle DF_NATIVE_NODE_STATS; @@ -174,6 +179,10 @@ private static RuntimeException rethrowConverted(RuntimeException e) { ValueLayout.JAVA_LONG, ValueLayout.ADDRESS, ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG, + ValueLayout.JAVA_LONG, + ValueLayout.ADDRESS, ValueLayout.JAVA_LONG ) ); @@ -183,6 +192,31 @@ private static RuntimeException rethrowConverted(RuntimeException e) { FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) ); + CLEAR_LIQUID_CACHE = linker.downcallHandle( + lib.find("df_clear_liquid_cache").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + + SET_LIQUID_CACHE_ENABLED = linker.downcallHandle( + lib.find("df_set_liquid_cache_enabled").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + + SET_LIQUID_CACHE_MEMORY_LIMIT = linker.downcallHandle( + lib.find("df_set_liquid_cache_memory_limit").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + + SET_LIQUID_CACHE_SELECTIVITY_THRESHOLD = linker.downcallHandle( + lib.find("df_set_liquid_cache_selectivity_threshold").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + + SET_LIQUID_CACHE_MAX_COLUMNS = linker.downcallHandle( + lib.find("df_set_liquid_cache_max_columns").orElseThrow(), + FunctionDescriptor.ofVoid(ValueLayout.JAVA_LONG) + ); + GET_MEMORY_POOL_USAGE = linker.downcallHandle( lib.find("df_get_memory_pool_usage").orElseThrow(), FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.JAVA_LONG) @@ -768,10 +802,30 @@ public static void updateConcurrencyGate(String gateName, int newMaxPermits) { * This pointer is not a MemorySegment — it's a Rust heap address that lives * until {@link #closeGlobalRuntime} is called. */ - public static long createGlobalRuntime(long memoryLimit, long cacheManagerPtr, String spillDir, long spillLimit) { + public static long createGlobalRuntime( + long memoryLimit, + long cacheManagerPtr, + String spillDir, + long spillLimit, + boolean liquidCacheEnabled, + long liquidCacheSize, + String liquidCacheEvictionPolicy + ) { try (var call = new NativeCall()) { var dir = call.str(spillDir); - return call.invoke(CREATE_GLOBAL_RUNTIME, memoryLimit, cacheManagerPtr, dir.segment(), dir.len(), spillLimit); + var eviction = call.str(liquidCacheEvictionPolicy); + return call.invoke( + CREATE_GLOBAL_RUNTIME, + memoryLimit, + cacheManagerPtr, + dir.segment(), + dir.len(), + spillLimit, + liquidCacheEnabled ? 1L : 0L, + liquidCacheSize, + eviction.segment(), + eviction.len() + ); } } @@ -780,6 +834,31 @@ public static void closeGlobalRuntime(long ptr) { NativeCall.invokeVoid(CLOSE_GLOBAL_RUNTIME, ptr); } + /** Clears all Liquid Cache entries and DataFusion internal caches. */ + public static void clearLiquidCache(long runtimePtr) { + NativeCall.invokeVoid(CLEAR_LIQUID_CACHE, runtimePtr); + } + + /** Dynamically enable or disable Liquid Cache for new queries. */ + public static void setLiquidCacheEnabled(boolean enabled) { + NativeCall.invokeVoid(SET_LIQUID_CACHE_ENABLED, enabled ? 1L : 0L); + } + + /** Dynamically update the Liquid Cache memory limit in bytes. */ + public static void setLiquidCacheMemoryLimit(long bytes) { + NativeCall.invokeVoid(SET_LIQUID_CACHE_MEMORY_LIMIT, bytes); + } + + /** Dynamically update the LC selectivity threshold (permille: 800 = 0.8). */ + public static void setLiquidCacheSelectivityThreshold(long permille) { + NativeCall.invokeVoid(SET_LIQUID_CACHE_SELECTIVITY_THRESHOLD, permille); + } + + /** Dynamically update the max columns for LC engagement. */ + public static void setLiquidCacheMaxColumns(long count) { + NativeCall.invokeVoid(SET_LIQUID_CACHE_MAX_COLUMNS, count); + } + // ---- Memory pool observability and dynamic limit ---- /** Returns current memory pool usage in bytes. */ diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionNativeBridgeTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionNativeBridgeTests.java index 7f93b4d9b9a81..9c333025862b4 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionNativeBridgeTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionNativeBridgeTests.java @@ -51,7 +51,10 @@ public void testRuntimeLifecycle() { 64 * 1024 * 1024, // 64MB 0L, spillDir.toString(), - 32 * 1024 * 1024 // 32MB spill + 32 * 1024 * 1024, // 32MB spill + false, + 0L, + "lru" ); assertTrue("Runtime pointer should be non-zero", runtimePtr != 0); @@ -62,7 +65,7 @@ public void testRuntimeLifecycle() { public void testReaderLifecycle() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); // Copy test parquet to a temp dir Path dataDir = createTempDir("datafusion-data"); @@ -88,7 +91,7 @@ public void testReaderLifecycle() throws Exception { public void testSessionContextCreationAndTableRegistration() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); Path dataDir = createTempDir("datafusion-data"); @@ -166,7 +169,7 @@ public void onFailure(Exception exception) { public void testReaderWithRealNativeStoreHandle() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); // Copy test parquet to a temp dir Path dataDir = createTempDir("datafusion-data"); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java index be7142952b5de..24148b5dc9f91 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionPluginSettingsTests.java @@ -111,7 +111,7 @@ public void testGetSettingsReturnsAllIndexedSettings() { public void testGetSettingsReturnsTotalExpectedCount() { try (DataFusionPlugin plugin = new DataFusionPlugin()) { List> settings = plugin.getSettings(); - assertEquals(31, settings.size()); + assertEquals(36, settings.size()); } catch (Exception e) { throw new AssertionError(e); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionQueryExecutionTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionQueryExecutionTests.java index 307d0e5e15421..bb06c83361b77 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionQueryExecutionTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionQueryExecutionTests.java @@ -53,7 +53,7 @@ public void setUp() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); runtimeHandle = new NativeRuntimeHandle( - NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024) + NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024, false, 0L, "lru") ); // Create a real TieredObjectStore (local-only) and wrap in NativeStoreHandle diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java index 1cf221e4e9f57..a0a5738fca301 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DataFusionServiceTests.java @@ -82,7 +82,7 @@ public void testGetNativeRuntimeBeforeStartThrows() { public void testNativeRuntimeHandleCloseIsIdempotent() { ensureTokioInit(); Path spillDir = createTempDir("spill"); - long ptr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long ptr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle handle = new NativeRuntimeHandle(ptr); assertTrue(handle.isOpen()); @@ -96,7 +96,7 @@ public void testNativeRuntimeHandleCloseIsIdempotent() { public void testNativeRuntimeHandleGetAfterCloseThrows() { ensureTokioInit(); Path spillDir = createTempDir("spill"); - long ptr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long ptr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle handle = new NativeRuntimeHandle(ptr); handle.close(); expectThrows(IllegalStateException.class, handle::get); @@ -202,7 +202,15 @@ public void testRuntimeWithCacheManagerPointer() { NativeBridge.createCache(cachePtr, "STATISTICS", 100 * 1024 * 1024, "LRU"); Path spillDir = createTempDir("spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, cachePtr, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime( + 64 * 1024 * 1024, + cachePtr, + spillDir.toString(), + 32 * 1024 * 1024, + false, + 0L, + "lru" + ); assertTrue(runtimePtr != 0); NativeBridge.closeGlobalRuntime(runtimePtr); @@ -217,7 +225,15 @@ public void testCacheManagerHandleConsumedAfterRuntimeCreation() { assertTrue(org.opensearch.analytics.backend.jni.NativeHandle.isLivePointer(ptrBefore)); Path spillDir = createTempDir("spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, handle.getPointer(), spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime( + 64 * 1024 * 1024, + handle.getPointer(), + spillDir.toString(), + 32 * 1024 * 1024, + false, + 0L, + "lru" + ); handle.markConsumed(); assertFalse(org.opensearch.analytics.backend.jni.NativeHandle.isLivePointer(ptrBefore)); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionMemtableReduceSinkTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionMemtableReduceSinkTests.java index fa41ad2d42fe7..02dccfa8a06ee 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionMemtableReduceSinkTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionMemtableReduceSinkTests.java @@ -59,7 +59,7 @@ public void testInputIdConstantMatchesDesign() { public void testFeedDrainsSumToDownstream() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); assertTrue("runtime ptr non-zero", runtimePtr != 0); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionReduceSinkTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionReduceSinkTests.java index b2c8800558d20..4a310b96155aa 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionReduceSinkTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionReduceSinkTests.java @@ -107,7 +107,7 @@ public void testReceiverDroppedSentinelIsPositiveAndDistinctFromSuccess() { public void testFeedDrainsSumToDownstream() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); assertTrue("runtime ptr non-zero", runtimePtr != 0); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); @@ -169,7 +169,7 @@ public void testFeedDrainsSumToDownstream() throws Exception { public void testReduceWithLimitProducesLimitedOutput() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -214,7 +214,7 @@ public void testReduceWithLimitProducesLimitedOutput() throws Exception { public void testDrainTaskKeepsUpWithProducer() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -268,7 +268,7 @@ public void testDrainTaskKeepsUpWithProducer() throws Exception { public void testReduceProducesOutputIncrementallyForPipelinedPlan() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -344,7 +344,7 @@ public void testReduceProducesOutputIncrementallyForPipelinedPlan() throws Excep public void testCloseWhileFeederParkedOnFullChannelDoesNotDeadlock() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -421,7 +421,7 @@ public void testCloseWhileFeederParkedOnFullChannelDoesNotDeadlock() throws Exce public void testCancelBeforeFirstBatchUnwindsDrain() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -473,7 +473,7 @@ public void testCancelBeforeFirstBatchUnwindsDrain() throws Exception { public void testCancelAfterFirstBatchUnwindsDrain() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { @@ -519,7 +519,7 @@ public void testCancelAfterFirstBatchUnwindsDrain() throws Exception { public void testDoubleCloseIsIdempotent() throws Exception { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); try (RootAllocator alloc = new RootAllocator(Long.MAX_VALUE)) { diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionResultStreamTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionResultStreamTests.java index 28db10793bffc..6dd6010a48e5d 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionResultStreamTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionResultStreamTests.java @@ -47,7 +47,7 @@ public void setUp() throws Exception { super.setUp(); NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("spill"); - long ptr = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024); + long ptr = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024, false, 0L, "lru"); runtimeHandle = new NativeRuntimeHandle(ptr); testRootAllocator = new RootAllocator(Long.MAX_VALUE); @@ -237,7 +237,7 @@ public void testCloseAfterNativeStreamNextFailure() throws Exception { // Create a valid stream, close the runtime handle to force streamNext failure, // then verify the stream still closes cleanly Path spillDir2 = createTempDir("spill2"); - long ptr2 = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir2.toString(), 64 * 1024 * 1024); + long ptr2 = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir2.toString(), 64 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle tempRuntime = new NativeRuntimeHandle(ptr2); byte[] substrait = NativeBridge.sqlToSubstrait( diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSearchExecEngineTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSearchExecEngineTests.java index 48b380ea44056..6892251783fca 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSearchExecEngineTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSearchExecEngineTests.java @@ -44,7 +44,7 @@ public void setUp() throws Exception { super.setUp(); NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long ptr = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024); + long ptr = NativeBridge.createGlobalRuntime(128 * 1024 * 1024, 0L, spillDir.toString(), 64 * 1024 * 1024, false, 0L, "lru"); runtimeHandle = new NativeRuntimeHandle(ptr); // Create a real TieredObjectStore (local-only) and wrap in NativeStoreHandle diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java index e7cde67cd052d..fc8181c59109c 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/DatafusionSettingsTests.java @@ -55,7 +55,7 @@ public void testMinSkipRunSelectivityThresholdSettingDefinition() { } public void testAllSettingsContainsAllExpectedSettings() { - assertEquals(31, DatafusionSettings.ALL_SETTINGS.size()); + assertEquals(36, DatafusionSettings.ALL_SETTINGS.size()); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_REDUCE_TARGET_PARTITIONS)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_MEMORY_GUARD_SPILL_EXEMPT_CAP)); assertTrue(DatafusionSettings.ALL_SETTINGS.contains(DataFusionPlugin.DATAFUSION_SPILL_DIRECTORY)); diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgeLocalSessionTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgeLocalSessionTests.java index c80e2434c5908..fec13a83b8ca5 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgeLocalSessionTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgeLocalSessionTests.java @@ -53,7 +53,7 @@ public class NativeBridgeLocalSessionTests extends OpenSearchTestCase { private NativeRuntimeHandle createRuntime() { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); assertTrue("runtime ptr non-zero", runtimePtr != 0); return new NativeRuntimeHandle(runtimePtr); } diff --git a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgePreparedPlanTests.java b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgePreparedPlanTests.java index b605fb3bc6527..f542ed012cd72 100644 --- a/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgePreparedPlanTests.java +++ b/sandbox/plugins/analytics-backend-datafusion/src/test/java/org/opensearch/be/datafusion/NativeBridgePreparedPlanTests.java @@ -42,7 +42,7 @@ public void testExecuteLocalPreparedPlanRejectsNullPointer() { public void testPrepareFinalPlanWithInvalidBytesThrowsDecodeError() { NativeBridge.initTokioRuntimeManager(2); Path spillDir = createTempDir("datafusion-spill"); - long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024); + long runtimePtr = NativeBridge.createGlobalRuntime(64 * 1024 * 1024, 0L, spillDir.toString(), 32 * 1024 * 1024, false, 0L, "lru"); NativeRuntimeHandle runtimeHandle = new NativeRuntimeHandle(runtimePtr); DatafusionLocalSession session = new DatafusionLocalSession(runtimeHandle.get()); try { diff --git a/sandbox/qa/analytics-engine-rest/build.gradle b/sandbox/qa/analytics-engine-rest/build.gradle index cb822cdf1b0b6..bed91a032f488 100644 --- a/sandbox/qa/analytics-engine-rest/build.gradle +++ b/sandbox/qa/analytics-engine-rest/build.gradle @@ -105,6 +105,9 @@ def configureAnalyticsCluster = { cluster -> // wildcards, or comma-lists). cluster.setting 'cluster.pluggable.dataformat', 'composite' + // Enable liquid cache feature flag (in-memory decoded-batch cache) + cluster.systemProperty 'opensearch.experimental.feature.liquid_cache.enabled', 'true' + // analytics-engine requires the streaming transport — fragment dispatch is streaming-only. cluster.systemProperty 'opensearch.experimental.feature.transport.stream.enabled', 'true' } diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheBenchmarkIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheBenchmarkIT.java new file mode 100644 index 0000000000000..7509c44829f57 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheBenchmarkIT.java @@ -0,0 +1,228 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.util.ArrayList; +import java.util.List; +import java.util.Random; +import java.util.concurrent.TimeUnit; + +/** + * Benchmark comparing query latency with and without Liquid Cache on a + * scaled-down ClickBench-like dataset (~100K rows). + * + * Run with: + * ./gradlew :sandbox:qa:analytics-engine-rest:integTest \ + * --tests "org.opensearch.analytics.qa.LiquidCacheBenchmarkIT" \ + * -Dsandbox.enabled=true + * + * Results are printed to stdout — compare "LC OFF" vs "LC ON" latencies. + */ +@SuppressWarnings("unchecked") +public class LiquidCacheBenchmarkIT extends AnalyticsRestTestCase { + + private static final Logger logger = LogManager.getLogger(LiquidCacheBenchmarkIT.class); + private static final String INDEX_NAME = "liquid_cache_bench"; + private static final int NUM_DOCS = 100_000; + private static final int BULK_BATCH_SIZE = 5000; + private static final int WARMUP_ITERATIONS = 3; + private static final int MEASURE_ITERATIONS = 10; + + private static final String[] QUERIES = { + // Q1: COUNT with equality filter (keyword) + "source=" + INDEX_NAME + " | where status = '200' | stats count() as cnt", + // Q2: Aggregation with range filter (numeric) + "source=" + INDEX_NAME + " | where response_time > 500 | stats avg(response_time) as avg_rt", + // Q3: GROUP BY low-cardinality keyword + "source=" + INDEX_NAME + " | stats count() as cnt by status", + // Q4: GROUP BY + range filter (time-range pattern) + "source=" + INDEX_NAME + " | where event_time > 1700000000000 | stats count() as cnt by region", + // Q5: Multi-column aggregation + "source=" + INDEX_NAME + " | where status = '500' | stats avg(response_time) as avg_rt, max(response_time) as max_rt", + // Q6: High selectivity filter + count + "source=" + INDEX_NAME + " | where user_id = 'user_42' | stats count() as cnt", }; + + public void testLiquidCacheBenchmark() throws Exception { + setupIndex(); + + logger.info("=== Liquid Cache Benchmark: {} docs, {} queries ===", NUM_DOCS, QUERIES.length); + + // Phase 1: LC OFF — baseline + updateSetting("datafusion.liquid_cache.enabled", "false"); + long[] baselineLatencies = runBenchmark("LC OFF"); + + // Phase 2: LC ON — first run (cold cache, populates cache) + updateSetting("datafusion.liquid_cache.enabled", "true"); + long[] coldCacheLatencies = runBenchmark("LC ON (cold)"); + + // Phase 3: LC ON — second run (warm cache, should be faster) + long[] warmCacheLatencies = runBenchmark("LC ON (warm)"); + + // Report + logger.info("=== RESULTS (median of {} iterations, ms) ===", MEASURE_ITERATIONS); + logger.info(String.format("%-60s %10s %10s %10s %10s", "Query", "Baseline", "Cold", "Warm", "Speedup")); + for (int i = 0; i < QUERIES.length; i++) { + String q = QUERIES[i].length() > 58 ? QUERIES[i].substring(0, 58) + ".." : QUERIES[i]; + double speedup = baselineLatencies[i] > 0 ? (double) baselineLatencies[i] / warmCacheLatencies[i] : 0; + logger.info( + String.format( + "%-60s %8dms %8dms %8dms %8.1fx", + q, + baselineLatencies[i], + coldCacheLatencies[i], + warmCacheLatencies[i], + speedup + ) + ); + } + } + + private long[] runBenchmark(String label) throws Exception { + long[] medians = new long[QUERIES.length]; + for (int q = 0; q < QUERIES.length; q++) { + // Warmup + for (int i = 0; i < WARMUP_ITERATIONS; i++) { + executePplRaw(QUERIES[q]); + } + // Measure + List latencies = new ArrayList<>(); + for (int i = 0; i < MEASURE_ITERATIONS; i++) { + long start = System.nanoTime(); + executePplRaw(QUERIES[q]); + long elapsed = TimeUnit.NANOSECONDS.toMillis(System.nanoTime() - start); + latencies.add(elapsed); + } + latencies.sort(Long::compareTo); + medians[q] = latencies.get(latencies.size() / 2); + logger.info( + "[{}] Q{}: median={}ms, min={}ms, max={}ms", + label, + q + 1, + medians[q], + latencies.get(0), + latencies.get(latencies.size() - 1) + ); + } + return medians; + } + + private void setupIndex() throws Exception { + deleteIndexIfExists(INDEX_NAME); + createIndex(); + ingestData(); + flush(); + logger.info("Index created with {} docs", NUM_DOCS); + } + + private void createIndex() throws Exception { + Request request = new Request("PUT", "/" + INDEX_NAME); + request.setJsonEntity( + "{" + + "\"settings\": {" + + " \"number_of_shards\": 1," + + " \"number_of_replicas\": 0," + + " \"refresh_interval\": \"-1\"," + + " \"index.pluggable.dataformat.enabled\": true," + + " \"index.pluggable.dataformat\": \"composite\"," + + " \"index.composite.primary_data_format\": \"parquet\"" + + "}," + + "\"mappings\": {" + + " \"properties\": {" + + " \"event_time\": {\"type\": \"long\"}," + + " \"status\": {\"type\": \"keyword\"}," + + " \"region\": {\"type\": \"keyword\"}," + + " \"user_id\": {\"type\": \"keyword\"}," + + " \"response_time\": {\"type\": \"integer\"}," + + " \"bytes_sent\": {\"type\": \"long\"}," + + " \"url\": {\"type\": \"keyword\"}" + + " }" + + "}" + + "}" + ); + assertEquals(200, client().performRequest(request).getStatusLine().getStatusCode()); + } + + private void ingestData() throws Exception { + Random rng = new Random(42); // deterministic seed + String[] statuses = { "200", "301", "404", "500" }; + String[] regions = { "us-east-1", "us-west-2", "eu-west-1", "ap-southeast-1" }; + + int ingested = 0; + while (ingested < NUM_DOCS) { + int batchSize = Math.min(BULK_BATCH_SIZE, NUM_DOCS - ingested); + StringBuilder bulk = new StringBuilder(); + for (int i = 0; i < batchSize; i++) { + bulk.append("{\"index\":{}}\n"); + bulk.append("{") + .append("\"event_time\":") + .append(1700000000000L + rng.nextInt(86400000)) + .append(",") + .append("\"status\":\"") + .append(statuses[rng.nextInt(statuses.length)]) + .append("\",") + .append("\"region\":\"") + .append(regions[rng.nextInt(regions.length)]) + .append("\",") + .append("\"user_id\":\"user_") + .append(rng.nextInt(10000)) + .append("\",") + .append("\"response_time\":") + .append(50 + rng.nextInt(2000)) + .append(",") + .append("\"bytes_sent\":") + .append(100 + rng.nextInt(50000)) + .append(",") + .append("\"url\":\"/api/v") + .append(rng.nextInt(3) + 1) + .append("/resource/") + .append(rng.nextInt(1000)) + .append("\"") + .append("}\n"); + } + Request request = new Request("POST", "/" + INDEX_NAME + "/_bulk"); + request.setJsonEntity(bulk.toString()); + Response response = client().performRequest(request); + assertEquals(200, response.getStatusLine().getStatusCode()); + ingested += batchSize; + if (ingested % 20000 == 0) { + logger.info("Ingested {}/{} docs", ingested, NUM_DOCS); + } + } + } + + private void flush() throws Exception { + client().performRequest(new Request("POST", "/" + INDEX_NAME + "/_refresh")); + client().performRequest(new Request("POST", "/" + INDEX_NAME + "/_flush?force=true")); + } + + private void executePplRaw(String query) throws Exception { + Request request = new Request("POST", "/_plugins/_ppl"); + request.setJsonEntity("{\"query\":\"" + query + "\"}"); + client().performRequest(request); + } + + private void updateSetting(String key, String value) throws Exception { + Request request = new Request("PUT", "/_cluster/settings"); + request.setJsonEntity("{\"transient\":{\"" + key + "\":\"" + value + "\"}}"); + client().performRequest(request); + } + + private void deleteIndexIfExists(String name) throws Exception { + try { + client().performRequest(new Request("DELETE", "/" + name)); + } catch (Exception e) { + // ignore — index may not exist + } + } +} diff --git a/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheIT.java b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheIT.java new file mode 100644 index 0000000000000..c6d41d90089a1 --- /dev/null +++ b/sandbox/qa/analytics-engine-rest/src/test/java/org/opensearch/analytics/qa/LiquidCacheIT.java @@ -0,0 +1,190 @@ +/* + * SPDX-License-Identifier: Apache-2.0 + * + * The OpenSearch Contributors require contributions made to + * this file be licensed under the Apache-2.0 license or a + * compatible open source license. + */ + +package org.opensearch.analytics.qa; + +import org.apache.logging.log4j.LogManager; +import org.apache.logging.log4j.Logger; +import org.opensearch.client.Request; +import org.opensearch.client.Response; + +import java.util.List; +import java.util.Map; + +/** + * Integration tests for Liquid Cache functionality within the analytics engine. + *

        + * Validates: + *

          + *
        • Composite parquet index creation and data ingestion
          • + *
        • PPL query execution through DataFusion with numeric predicates
          • + *
        • Dynamic enable/disable of liquid cache via cluster settings
          • + *
        • Dynamic resize of memory budget at runtime
          • + *
        • Query correctness across all cache states
          • + *
        + *

        + * Requires feature flags: + * {@code opensearch.experimental.feature.pluggable.dataformat.enabled=true}, + * {@code opensearch.experimental.feature.liquid_cache.enabled=true} + */ +@SuppressWarnings("unchecked") +public class LiquidCacheIT extends AnalyticsRestTestCase { + + private static final Logger logger = LogManager.getLogger(LiquidCacheIT.class); + private static final String INDEX_NAME = "liquid_cache_integ"; + private static final String PPL_ENDPOINT = "/_analytics/ppl"; + private static final long EXPECTED_SUM_AGE_GT_25 = 300000L; + + /** + * End-to-end test: index lifecycle, query execution, dynamic toggle, and budget resize. + */ + public void testLiquidCacheEndToEnd() throws Exception { + setupIndex(); + + verifyQueryReturnsExpectedResult(); + verifyDynamicDisableAndReenable(); + verifyDynamicBudgetResize(); + } + + private void verifyQueryReturnsExpectedResult() throws Exception { + logger.info("Executing PPL query with numeric predicate (age > 25)"); + long latency = executePplAndAssert( + "source=" + INDEX_NAME + " | where age > 25 | stats sum(salary) as total", + EXPECTED_SUM_AGE_GT_25 + ); + logger.info("Query latency: {}ms", latency); + } + + private void verifyDynamicDisableAndReenable() throws Exception { + updateSetting("datafusion.liquid_cache.enabled", "false"); + logger.info("Liquid cache disabled via cluster settings"); + + long disabledLatency = executePplAndAssert( + "source=" + INDEX_NAME + " | where age > 25 | stats sum(salary) as total", + EXPECTED_SUM_AGE_GT_25 + ); + logger.info("Query latency (LC disabled): {}ms", disabledLatency); + + updateSetting("datafusion.liquid_cache.enabled", "true"); + logger.info("Liquid cache re-enabled via cluster settings"); + + long reenabledLatency = executePplAndAssert( + "source=" + INDEX_NAME + " | where age > 25 | stats sum(salary) as total", + EXPECTED_SUM_AGE_GT_25 + ); + logger.info("Query latency (LC re-enabled): {}ms", reenabledLatency); + } + + private void verifyDynamicBudgetResize() throws Exception { + long newMemory = 512L * 1024 * 1024; + + updateSetting("datafusion.liquid_cache.size_bytes", String.valueOf(newMemory)); + + Response response = client().performRequest(new Request("GET", "/_cluster/settings?flat_settings=true&include_defaults=false")); + Map settings = entityAsMap(response); + Map transient_ = (Map) settings.get("transient"); + + assertEquals("Memory budget not updated", String.valueOf(newMemory), transient_.get("datafusion.liquid_cache.size_bytes")); + logger.info("Budget resize verified: memory={}MB", newMemory / (1024 * 1024)); + } + + // ── Helpers ────────────────────────────────────────────────────────────── + + private void setupIndex() throws Exception { + deleteIndexIfExists(INDEX_NAME); + createCompositeParquetIndex(); + bulkIngestTestData(); + flushAndForceMerge(); + verifyParquetFormat(); + } + + private void createCompositeParquetIndex() throws Exception { + Request request = new Request("PUT", "/" + INDEX_NAME); + request.setJsonEntity( + "{" + + "\"settings\": {" + + " \"number_of_shards\": 1," + + " \"number_of_replicas\": 0," + + " \"index.pluggable.dataformat.enabled\": true," + + " \"index.pluggable.dataformat\": \"composite\"," + + " \"index.composite.primary_data_format\": \"parquet\"" + + "}," + + "\"mappings\": {" + + " \"properties\": {" + + " \"name\": {\"type\": \"keyword\"}," + + " \"age\": {\"type\": \"integer\"}," + + " \"salary\": {\"type\": \"long\"}" + + " }" + + "}" + + "}" + ); + assertEquals(200, client().performRequest(request).getStatusLine().getStatusCode()); + } + + private void bulkIngestTestData() throws Exception { + Request request = new Request("POST", "/" + INDEX_NAME + "/_bulk"); + request.addParameter("refresh", "true"); + request.setJsonEntity( + "{\"index\":{}}\n{\"name\":\"Alice\",\"age\":30,\"salary\":75000}\n" + + "{\"index\":{}}\n{\"name\":\"Bob\",\"age\":25,\"salary\":60000}\n" + + "{\"index\":{}}\n{\"name\":\"Charlie\",\"age\":35,\"salary\":90000}\n" + + "{\"index\":{}}\n{\"name\":\"Diana\",\"age\":28,\"salary\":70000}\n" + + "{\"index\":{}}\n{\"name\":\"Eve\",\"age\":35,\"salary\":65000}\n" + ); + assertEquals(200, client().performRequest(request).getStatusLine().getStatusCode()); + } + + private void flushAndForceMerge() throws Exception { + client().performRequest(new Request("POST", "/" + INDEX_NAME + "/_flush?force=true")); + Request merge = new Request("POST", "/" + INDEX_NAME + "/_forcemerge"); + merge.addParameter("max_num_segments", "1"); + client().performRequest(merge); + Thread.sleep(5000); + } + + private void verifyParquetFormat() throws Exception { + Response response = client().performRequest(new Request("GET", "/" + INDEX_NAME + "/_settings?flat_settings=true")); + Map settings = entityAsMap(response); + Map indexSettings = (Map) ((Map) settings.get(INDEX_NAME)).get("settings"); + assertEquals("parquet", indexSettings.get("index.composite.primary_data_format")); + } + + private long executePplAndAssert(String pplQuery, long expectedValue) throws Exception { + long start = System.currentTimeMillis(); + Request request = new Request("POST", PPL_ENDPOINT); + request.setJsonEntity("{\"query\": \"" + pplQuery + "\"}"); + Response response = client().performRequest(request); + long elapsed = System.currentTimeMillis() - start; + + assertEquals(200, response.getStatusLine().getStatusCode()); + Map body = entityAsMap(response); + logger.info("PPL response: {}", body); + assertNotNull("Response body should not be null", body); + + @SuppressWarnings("unchecked") + List> rows = (List>) body.get("rows"); + assertNotNull("Response should contain rows", rows); + assertFalse("Rows should not be empty", rows.isEmpty()); + Number actual = (Number) rows.get(0).get(0); + assertEquals("Query result mismatch", expectedValue, actual.longValue()); + + return elapsed; + } + + private void deleteIndexIfExists(String index) { + try { + client().performRequest(new Request("DELETE", "/" + index)); + } catch (Exception ignored) {} + } + + private void updateSetting(String key, String value) throws Exception { + Request request = new Request("PUT", "/_cluster/settings"); + request.setJsonEntity("{\"transient\":{\"" + key + "\":\"" + value + "\"}}"); + assertEquals(200, client().performRequest(request).getStatusLine().getStatusCode()); + } +} diff --git a/server/src/main/java/org/opensearch/common/util/FeatureFlags.java b/server/src/main/java/org/opensearch/common/util/FeatureFlags.java index 2a53dc05f6559..a37814f2f848d 100644 --- a/server/src/main/java/org/opensearch/common/util/FeatureFlags.java +++ b/server/src/main/java/org/opensearch/common/util/FeatureFlags.java @@ -127,6 +127,16 @@ public class FeatureFlags { public static final String STREAM_TRANSPORT = FEATURE_FLAG_PREFIX + "transport.stream.enabled"; public static final Setting STREAM_TRANSPORT_SETTING = Setting.boolSetting(STREAM_TRANSPORT, false, Property.NodeScope); + /** + * Gates the functionality of Liquid Cache for byte-level Parquet caching. + */ + public static final String LIQUID_CACHE_EXPERIMENTAL_FLAG = FEATURE_FLAG_PREFIX + "liquid_cache.enabled"; + public static final Setting LIQUID_CACHE_EXPERIMENTAL_SETTING = Setting.boolSetting( + LIQUID_CACHE_EXPERIMENTAL_FLAG, + false, + Property.NodeScope + ); + /** * Underlying implementation for feature flags. * All settable feature flags are tracked here in FeatureFlagsImpl.featureFlags. @@ -153,6 +163,7 @@ static class FeatureFlagsImpl { put(STREAM_TRANSPORT_SETTING, STREAM_TRANSPORT_SETTING.getDefault(Settings.EMPTY)); put(CONTEXT_AWARE_MIGRATION_EXPERIMENTAL_SETTING, CONTEXT_AWARE_MIGRATION_EXPERIMENTAL_SETTING.getDefault(Settings.EMPTY)); put(PLUGGABLE_DATAFORMAT_EXPERIMENTAL_SETTING, PLUGGABLE_DATAFORMAT_EXPERIMENTAL_SETTING.getDefault(Settings.EMPTY)); + put(LIQUID_CACHE_EXPERIMENTAL_SETTING, LIQUID_CACHE_EXPERIMENTAL_SETTING.getDefault(Settings.EMPTY)); } };