Bump WolverineFx and WolverineFx.FluentValidation - #113
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Bumps WolverineFx from 6.23.0 to 6.24.0 Bumps WolverineFx.FluentValidation from 6.23.0 to 6.24.0 --- updated-dependencies: - dependency-name: WolverineFx dependency-version: 6.24.0 dependency-type: direct:production update-type: version-update:semver-minor - dependency-name: WolverineFx.FluentValidation dependency-version: 6.24.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
This was referenced Jul 29, 2026
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Superseded by #115. |
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Updated WolverineFx from 6.23.0 to 6.24.0.
Release notes
Sourced from WolverineFx's releases.
6.24.0
Two data-loss fixes — but for unusual usages
This release closes two bugs that silently destroyed data rather than failing loudly. Both are worth reading before you skip the rest of these notes.
Durable inbox rows were orphaned when a circuit breaker tripped (#3680).
DurableReceiverchecked its latched flag before callingMarkReceived. The latched path still persists each envelope to the inbox as a safety net — but on an envelope that never went throughMarkReceived,Statusis the enum default (Outgoing) andDestinationis null. Both are filter columns for inbox recovery, so the rows were written in a state no recovery sweep on any node could ever see. The nullListeneralso skipped the nack back to the broker, and the broker's redelivery after restart hitDuplicateIncomingEnvelopeException— which acks and drops. Net result: genuine message loss under a durable inbox any time a circuit breaker trip latched the receiver mid-flight. Measured on the circuit-breaker suite, 9 of 1,200 messages were lost per run.Dropping one tenant from a shared partition bucket destroyed its co-tenants' data (#3686). Found alongside #3683. Tenant bucketing — registering several small tenants against one partition suffix so they share a physical partition — is documented and exposed through
PartitionPerTenant(p => p.AllowPartitionSharing = true), and it did not work on either engine. It had no test coverage, because the doc sample demonstrating it is compile-only and never executed.Global partitioning
Part of the GlobalPartitioning epic (#3482).
Wolverine.ComplianceTests.Partitioning.ShardedProcessing, so a new transport costs one small test classThe new suites immediately found two real bugs:
EndpointMode.Durableon every slot, and aNatsEndpointonly supportsDurablewhen JetStream-backed — so everyUseShardedNatsSubjects()call threw at configuration time. The topology now enables JetStream on its own endpoints and declares a work-queue stream per shard, without which the listener died at startup onstream not foundglobal-persistent://public/default/orders1. They now use the topic's short name, matching every other transportMulti-tenancy and persistence
ITenantedentity — had no partition for any tenant registered before that table existed.IConjoinedTenantPartitions<T>.MigrateTenantPartitionsAsync()reconciles every partitioned table against the full registered tenant set, with per-tableTenantPartitionResultreportingTransports
NullReferenceExceptionFilterSubjectwas only assigned whenConsumerNamewas empty, so every durable consumer on a stream received every message. The fix needs aFilterSubjectsmulti-filter — a single filter cannot cover both{subject}and{subject}.scheduled, and a work-queue stream discards an uncovered control message"OAUTH2-JWT". Azure Event Grid's custom JWT authentication requiresCUSTOM-JWT, so those brokers could not be reached through Wolverine's authentication support at all. You could already set the method by hand throughMqttClientOptionsBuilder.WithAuthentication(), but that gave up Wolverine's token refresh loop — the whole reason to useMqttJwtAuthenticationOptions. You no longer have to chooseWolverineHttpTransportClientused the endpoint'sOutboundUripurely as anIHttpClientFactoryclient name, then posted to that client'sBaseAddress— so operator commands sent back over the HTTP transport failed withAn invalid request URI was providedPerformance
RabbitMQ consumer dispatch concurrency is now per-endpoint (#3492). The client default of 1 was the bottleneck. Simulated handler, 2,000 msg/s offered load, 30s measured window:
ConsumerDispatchConcurrencyThe 5.1x and 12.2x multiples understate it — at 1 and 5 the listener never catches up at all.
Amazon SQS batches message deletions and chunks outgoing batches on the 256KB request size limit (#3493)
Azure Service Bus session listeners are no longer quadratic — the n² session loops are now n.
MaxConcurrentCallsis surfaced, and a batched defer settles the original message (#3494)HTTP and gRPC
... (truncated)
6.23.1
Agent distribution
TL;DR: if you pause a projection from CritterWatch on 6.23.0, restarting it appears to do nothing for a full minute. This fixes that.
A paused projection or subscription agent now resumes immediately when you restart it (#3663). On 6.23.0 the restart was accepted, the pause restriction was cleared, and then nothing happened until the pending-assignment ledger's TTL expired — 2 ×
CheckAssignmentPeriod, so 60 seconds with the defaults. Long enough that an operator reasonably concludes the agent is never coming back.The ledger introduced in 6.23.0 (#3622) only counted an assignment as confirmed if a later evaluation saw the agent running and still assigned to the same node. A pause makes those two conditions mutually exclusive: the first evaluation that can observe the delivered assignment is the same one that detaches the agent. The entry was never confirmed, nothing on the stop path cleared it, and the restart's
AssignAgentwas suppressed as a duplicate still in flight. Delivery alone now confirms the entry, which is the only question the ledger was ever asking.Pausing an agent no longer briefly starts it first (#3666).
ApplyRestrictionsAsynckickstarted a health check before persisting the operator's restriction change, so that evaluation ran against the old restrictions and could act against the very intent being applied — for a pause, re-assigning and starting the agent one beat before the merged evaluation stopped it again. Besides the wasted daemon start/stop cycle, this is what armed the stale ledger entry behind #3663.PostgreSQL
Advisory-lock sessions stay invisible to Marten's async-daemon gap detection (#3664). Marten 9.16.1+ will not skip a stale event-sequence gap while any session whose open transaction predates that gap is still alive (marten#4953). A session parked in an open transaction for the life of the process therefore reads as a permanent "possible reserver" and can hold the high-water mark — and every async projection — behind a gap that is genuinely dead.
Wolverine's long-held locks were already shaped correctly: leader election and node coordination hold session-scoped advisory locks on a dedicated connection with no transaction, so they show up as
state='idle'with a NULLxact_start. Those sessions are now also taggedapplication_name = 'wolverine-advisory-lock:<database>', which turns apg_stat_activityinvestigation from guesswork into something you can read at a glance. The constraints are pinned in tests and in the Postgres durability docs, including the trap worth knowing in your own code: never add a keepalive query inside a long-lived open transaction — it bumpsstate_change, makes the session look active, and re-promotes it to candidate reserver.Note for combined Marten + Wolverine deployments: older guidance suggested Postgres's
idle_in_transaction_session_timeoutas a dead-gap backstop. Prefer upgrading Marten and usingSkipStaleGapsDespiteLiveTransactionsAfterinstead.Commits viewable in compare view.
Updated WolverineFx.FluentValidation from 6.23.0 to 6.24.0.
Release notes
Sourced from WolverineFx.FluentValidation's releases.
6.24.0
Two data-loss fixes — but for unusual usages
This release closes two bugs that silently destroyed data rather than failing loudly. Both are worth reading before you skip the rest of these notes.
Durable inbox rows were orphaned when a circuit breaker tripped (#3680).
DurableReceiverchecked its latched flag before callingMarkReceived. The latched path still persists each envelope to the inbox as a safety net — but on an envelope that never went throughMarkReceived,Statusis the enum default (Outgoing) andDestinationis null. Both are filter columns for inbox recovery, so the rows were written in a state no recovery sweep on any node could ever see. The nullListeneralso skipped the nack back to the broker, and the broker's redelivery after restart hitDuplicateIncomingEnvelopeException— which acks and drops. Net result: genuine message loss under a durable inbox any time a circuit breaker trip latched the receiver mid-flight. Measured on the circuit-breaker suite, 9 of 1,200 messages were lost per run.Dropping one tenant from a shared partition bucket destroyed its co-tenants' data (#3686). Found alongside #3683. Tenant bucketing — registering several small tenants against one partition suffix so they share a physical partition — is documented and exposed through
PartitionPerTenant(p => p.AllowPartitionSharing = true), and it did not work on either engine. It had no test coverage, because the doc sample demonstrating it is compile-only and never executed.Global partitioning
Part of the GlobalPartitioning epic (#3482).
Wolverine.ComplianceTests.Partitioning.ShardedProcessing, so a new transport costs one small test classThe new suites immediately found two real bugs:
EndpointMode.Durableon every slot, and aNatsEndpointonly supportsDurablewhen JetStream-backed — so everyUseShardedNatsSubjects()call threw at configuration time. The topology now enables JetStream on its own endpoints and declares a work-queue stream per shard, without which the listener died at startup onstream not foundglobal-persistent://public/default/orders1. They now use the topic's short name, matching every other transportMulti-tenancy and persistence
ITenantedentity — had no partition for any tenant registered before that table existed.IConjoinedTenantPartitions<T>.MigrateTenantPartitionsAsync()reconciles every partitioned table against the full registered tenant set, with per-tableTenantPartitionResultreportingTransports
NullReferenceExceptionFilterSubjectwas only assigned whenConsumerNamewas empty, so every durable consumer on a stream received every message. The fix needs aFilterSubjectsmulti-filter — a single filter cannot cover both{subject}and{subject}.scheduled, and a work-queue stream discards an uncovered control message"OAUTH2-JWT". Azure Event Grid's custom JWT authentication requiresCUSTOM-JWT, so those brokers could not be reached through Wolverine's authentication support at all. You could already set the method by hand throughMqttClientOptionsBuilder.WithAuthentication(), but that gave up Wolverine's token refresh loop — the whole reason to useMqttJwtAuthenticationOptions. You no longer have to chooseWolverineHttpTransportClientused the endpoint'sOutboundUripurely as anIHttpClientFactoryclient name, then posted to that client'sBaseAddress— so operator commands sent back over the HTTP transport failed withAn invalid request URI was providedPerformance
RabbitMQ consumer dispatch concurrency is now per-endpoint (#3492). The client default of 1 was the bottleneck. Simulated handler, 2,000 msg/s offered load, 30s measured window:
ConsumerDispatchConcurrencyThe 5.1x and 12.2x multiples understate it — at 1 and 5 the listener never catches up at all.
Amazon SQS batches message deletions and chunks outgoing batches on the 256KB request size limit (#3493)
Azure Service Bus session listeners are no longer quadratic — the n² session loops are now n.
MaxConcurrentCallsis surfaced, and a batched defer settles the original message (#3494)HTTP and gRPC
... (truncated)
6.23.1
Agent distribution
TL;DR: if you pause a projection from CritterWatch on 6.23.0, restarting it appears to do nothing for a full minute. This fixes that.
A paused projection or subscription agent now resumes immediately when you restart it (#3663). On 6.23.0 the restart was accepted, the pause restriction was cleared, and then nothing happened until the pending-assignment ledger's TTL expired — 2 ×
CheckAssignmentPeriod, so 60 seconds with the defaults. Long enough that an operator reasonably concludes the agent is never coming back.The ledger introduced in 6.23.0 (#3622) only counted an assignment as confirmed if a later evaluation saw the agent running and still assigned to the same node. A pause makes those two conditions mutually exclusive: the first evaluation that can observe the delivered assignment is the same one that detaches the agent. The entry was never confirmed, nothing on the stop path cleared it, and the restart's
AssignAgentwas suppressed as a duplicate still in flight. Delivery alone now confirms the entry, which is the only question the ledger was ever asking.Pausing an agent no longer briefly starts it first (#3666).
ApplyRestrictionsAsynckickstarted a health check before persisting the operator's restriction change, so that evaluation ran against the old restrictions and could act against the very intent being applied — for a pause, re-assigning and starting the agent one beat before the merged evaluation stopped it again. Besides the wasted daemon start/stop cycle, this is what armed the stale ledger entry behind #3663.PostgreSQL
Advisory-lock sessions stay invisible to Marten's async-daemon gap detection (#3664). Marten 9.16.1+ will not skip a stale event-sequence gap while any session whose open transaction predates that gap is still alive (marten#4953). A session parked in an open transaction for the life of the process therefore reads as a permanent "possible reserver" and can hold the high-water mark — and every async projection — behind a gap that is genuinely dead.
Wolverine's long-held locks were already shaped correctly: leader election and node coordination hold session-scoped advisory locks on a dedicated connection with no transaction, so they show up as
state='idle'with a NULLxact_start. Those sessions are now also taggedapplication_name = 'wolverine-advisory-lock:<database>', which turns apg_stat_activityinvestigation from guesswork into something you can read at a glance. The constraints are pinned in tests and in the Postgres durability docs, including the trap worth knowing in your own code: never add a keepalive query inside a long-lived open transaction — it bumpsstate_change, makes the session look active, and re-promotes it to candidate reserver.Note for combined Marten + Wolverine deployments: older guidance suggested Postgres's
idle_in_transaction_session_timeoutas a dead-gap backstop. Prefer upgrading Marten and usingSkipStaleGapsDespiteLiveTransactionsAfterinstead.Commits viewable in compare view.
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