[SPARK-56462][SQL]Fix UPDATE/INSERT schema evolution when source col contains dot

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala

@@ -1586,7 +1586,7 @@ class Analyzer(
                   // These columns will be added by ResolveSchemaEvolution later.
                   sourceTable.output.map { sourceAttr =>
                     val key = findAttrInTarget(sourceAttr.name).getOrElse(
-                      UnresolvedAttribute(sourceAttr.name))
+                      UnresolvedAttribute.quoted(sourceAttr.name))
                     Assignment(key, sourceAttr)
                   }
                 } else {
@@ -1622,7 +1622,7 @@ class Analyzer(
                   // These columns will be added by ResolveSchemaEvolution later.
                   sourceTable.output.map { sourceAttr =>
                     val key = findAttrInTarget(sourceAttr.name).getOrElse(
-                      UnresolvedAttribute(sourceAttr.name))
+                      UnresolvedAttribute.quoted(sourceAttr.name))
                     Assignment(key, sourceAttr)
                   }
                 } else {

sql/core/src/test/scala/org/apache/spark/sql/connector/MergeIntoSchemaEvolutionBasicTests.scala

@@ -1245,4 +1245,41 @@ trait MergeIntoSchemaEvolutionBasicTests extends MergeIntoSchemaEvolutionSuiteBa
     expectErrorWithoutEvolutionContains = "A column, variable, or function parameter with name " +
       "`bonus` cannot be resolved"
   )
+
+  // SPARK-56462: UPDATE * / INSERT * schema evolution must work when the source has a column
+  // whose name contains a dot (e.g. `job.title`).  Previously, constructing the assignment key
+  // with UnresolvedAttribute(sourceAttr.name) called apply(), which parsed the dot as a
+  // name-part separator and produced nameParts = Seq("job", "title") instead of
+  // Seq("job.title").  That made isSameColumnAssignment return false, blocking schema evolution
+  // and causing an UNRESOLVED_COLUMN analysis error rather than adding the new column.
+  testEvolution("source has extra column with dot in name")(
+    targetData = Seq(
+      (1, 100, "hr"),
+      (2, 200, "software"),
+      (3, 300, "hr")
+    ).toDF("pk", "salary", "dep"),
+    // "job.title" is a single column name containing a dot (not a qualified reference)
+    sourceData = Seq(
+      (2, 150, "finance", "engineer"),
+      (4, 400, "finance", "manager")
+    ).toDF("pk", "salary", "dep", "job.title"),
+    clauses = Seq(
+      updateAll(),
+      insertAll()
+    ),
+    // With schema evolution the dot-named column is added to target and populated
+    expected = Seq[(Int, Int, String, String)](
+      (1, 100, "hr", null),
+      (2, 150, "finance", "engineer"),
+      (3, 300, "hr", null),
+      (4, 400, "finance", "manager")
+    ).toDF("pk", "salary", "dep", "job.title"),
+    // Without schema evolution the dot-named extra column is simply ignored
+    expectedWithoutEvolution = Seq(
+      (1, 100, "hr"),
+      (2, 150, "finance"),
+      (3, 300, "hr"),
+      (4, 400, "finance")
+    ).toDF("pk", "salary", "dep")
+  )
 }