Bump Akka from 1.5.64 to 1.5.70#525
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--- updated-dependencies: - dependency-name: Akka dependency-version: 1.5.70 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>
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Updated Akka from 1.5.64 to 1.5.70.
Release notes
Sourced from Akka's releases.
1.5.70
1.5.70 July 2nd, 2026
Akka.NET v1.5.70 is a maintenance release that adds a new "last-N" query offset to Akka.Persistence.Query, resolves two Akka.Streams reliability issues and improves
BroadcastHubperformance under high consumer counts, and fixes a consistent-hashing router bug that could wedge an entire cluster after a 32-bit hash collision.Akka.Persistence.Query
Offset.FromEnd(int count)— "last-N events" query offset: IntroducesOffset.FromEnd(int count), a new query-input-only offset type that begins a read journal query at the Nth event from the end of history rather than from the beginning. The offset is resolved at stream materialization into a concreteSequencestart position; no interface changes or wire-format changes are required. Includes opt-in TCK spec (FromEndOffsetSpec) for plugin authors.Akka.Streams Bug Fixes
Source.From(IAsyncEnumerable<T>)where the underlying enumerator could be disposed before all elements were delivered to downstream, causingObjectDisposedExceptionon high-throughput pipelines.ChannelSinkdrops final element on backpressure - Fixes #8285:ChannelSinkwas discarding the last element in a sequence whenever the downstreamChannel<T>applied backpressure during completion. The sink now correctly delivers all elements before signaling completion.Akka.Streams Performance
BroadcastHubwhen many consumers are attached by optimizing the internal consumer-wheel iteration, yielding measurable throughput improvements at high fan-out.Akka.Core Bug Fixes
ConsistentHash.Createthrew"An entry with the same key already exists". The consistent-hashing router swallowed the exception and returnedNoRouteefor every subsequent message until a manual restart. The ring now linear-probes to the next free slot on a collision instead of throwing. This keeps the hash distribution unchanged and produces a byte-identical ring to prior versions whenever no collision occurs (safe for rolling upgrades), and also protectsAkka.Cluster.Tools'ClusterReceptionist, which builds the same ring.2 contributors since release 1.5.69
To see the full set of changes in Akka.NET v1.5.70, click here.
Changes:
See More
... (truncated)
1.5.70-beta2
1.5.70-beta2 June 30th, 2026
Akka.NET v1.5.70-beta2 is a beta release with a bug fix for
ChannelSinkdropping the final element under backpressure.Akka.Streams Bug Fixes
ChannelSinkdrops final element on backpressure - Fixes #8285:ChannelSinkwas discarding the last element in a sequence whenever the downstreamChannel<T>applied backpressure during completion. The sink now correctly delivers all elements before signaling completion.2 contributors since release 1.5.70-beta1
Changes:
This list of changes was auto generated.
1.5.70-beta1
1.5.70-beta1 June 23rd, 2026
Akka.NET v1.5.70-beta1 is a beta release with a new
Offset.FromEndquery offset for Akka.Persistence.Query, bug fixes forAkka.Streamsasync enumerable disposal, and a performance improvement forBroadcastHubwith high consumer counts.Akka.Persistence.Query
Offset.FromEnd(int count)— "last-N events" query offset: IntroducesOffset.FromEnd(int count), a new query-input-only offset type that begins a read journal query at the Nth event from the end of history rather than from the beginning. The offset is resolved at stream materialization into a concreteSequencestart position; no interface changes or wire-format changes are required. Includes opt-in TCK spec (FromEndOffsetSpec) for plugin authors.Akka.Streams Bug Fixes
Source.From(IAsyncEnumerable<T>)where the underlying enumerator could be disposed before all elements were delivered to downstream, causingObjectDisposedExceptionon high-throughput pipelines.Akka.Streams Performance
BroadcastHubwhen many consumers are attached by optimizing the internal consumer-wheel iteration, yielding measurable throughput improvements at high fan-out.1 contributor since release 1.5.69
Changes:
This list of changes was auto generated.
1.5.69
1.5.69 June 12th, 2026
Akka.NET v1.5.69 is a maintenance release with bug fixes for Akka.DistributedData state propagation, Akka.Core message rejection handling, and Akka.Streams tracing reliability and backpressure cancellation.
Akka.Streams
.Async()actor boundary - Fixes #8243: With stream tracing enabled, per-element trace context was dropped at the publisher/subscriber actor boundary introduced by.Async(), leaving downstream stages with no ambientActivityContext. Trace context now flows correctly across fused interpreter shells.OfferAsync(T, CancellationToken)toISourceQueue<T>— enables cancellation of backpressured pending offers without emitting the cancelled element.Akka.Streams Bug Fixes
NullReferenceExceptionin theGraphInterpreterwhen tracing across actor boundaries — the interpreter now safely handles null activity context references during stream teardown.Akka.Core
RejectOnType<TMessage>should useRejection, notFailure- Fixes #8231:RejectOnTypenow correctly wraps rejected messages asRejectionrather than throwing aFailure, matching the expected stream contract.Akka.DistributedData
ORSetandLWWDictionary, leading to data inconsistencies during node merges.1 contributor since release 1.5.68
Akka.NET v1.5.68 is a maintenance release with bug fixes for Akka.IO TCP connection handling, Akka.Streams stream materialized task faults, and Akka.TestKit xUnit 3 parallel context management.
Akka.IO Bug Fixes
Tcp.CommandFailedwhen a scheduled connect retry throws - Fixes #8195: On Linux, a dropped TCP connection could permanently stall the user actor — it never receivedTcp.ConnectedorTcp.CommandFailedbecause aPlatformNotSupportedExceptionthrown during a scheduled connect retry was swallowed by theHashedWheelTimerScheduler. The retry is now scheduled as aRetryConnectself-message viaIWithTimers, ensuring any exception is surfaced to the commander asTcp.CommandFailedand the connection actor stops cleanly. The pending timer is also canceled automatically when the actor stops, removing a latent use-after-dispose bug.Akka.Streams Bug Fixes
IgnoreSink,QueueSource, andLazySinknow observe their internal materializedTaskfaults, preventing them from surfacing later asUnobservedTaskExceptionevents on the thread pool.Akka.TestKit Bug Fixes
SynchronizationContextinActorCellKeepingSynchronizationContext-ActorCellKeepingSynchronizationContextnow accepts an optional innerSynchronizationContextand delegates scheduling to it while wrapping callbacks with the cell-pinning window. This prevents test hangs in downstream consumers such asAkka.Hosting.TestKitwhose asyncIHostlifecycle depends on xUnit v3'sMaxConcurrencySyncContextscheduling.1 contributor since release 1.5.67
To see the full set of changes in Akka.NET v1.5.68, click here.
Changes:
... (truncated)
1.5.68
1.5.68 May 17th, 2026
Akka.NET v1.5.68 is a maintenance release with bug fixes for Akka.IO TCP connection handling, Akka.Streams stream materialized task faults, and Akka.TestKit xUnit 3 parallel context management.
Akka.IO Bug Fixes
Tcp.CommandFailedwhen a scheduled connect retry throws - Fixes #8195: On Linux, a dropped TCP connection could permanently stall the user actor — it never receivedTcp.ConnectedorTcp.CommandFailedbecause aPlatformNotSupportedExceptionthrown during a scheduled connect retry was swallowed by theHashedWheelTimerScheduler. The retry is now scheduled as aRetryConnectself-message viaIWithTimers, ensuring any exception is surfaced to the commander asTcp.CommandFailedand the connection actor stops cleanly. The pending timer is also canceled automatically when the actor stops, removing a latent use-after-dispose bug.Akka.Streams Bug Fixes
IgnoreSink,QueueSource, andLazySinknow observe their internal materializedTaskfaults, preventing them from surfacing later asUnobservedTaskExceptionevents on the thread pool.Akka.TestKit Bug Fixes
SynchronizationContextinActorCellKeepingSynchronizationContext-ActorCellKeepingSynchronizationContextnow accepts an optional innerSynchronizationContextand delegates scheduling to it while wrapping callbacks with the cell-pinning window. This prevents test hangs in downstream consumers such asAkka.Hosting.TestKitwhose asyncIHostlifecycle depends on xUnit v3'sMaxConcurrencySyncContextscheduling.1 contributor since release 1.5.67
To see the full set of changes in Akka.NET v1.5.68, click here.
Changes:
This list of changes was auto generated.
1.5.67
1.5.67 April 25th, 2026
Akka.NET v1.5.67 is a hotfix release that reverts a breaking change to the persistence plugin contract introduced in v1.5.66.
Akka.Persistence: Revert async
WriteMessagesAsync/SaveAsyncdispatch (#8163)v1.5.66 added
Task.Yield()insideAsyncWriteJournal.ExecuteBatchandSnapshotStoreto move persistence pluginWriteMessagesAsync/SaveAsynccalls off the actor thread. While this improved throughput in benchmarks, it silently broke the implicit contract that persistence plugins rely on — that the synchronous preamble of these methods executes in actor context.This caused failures in plugins that:
SelfinsideWriteMessagesAsync(e.g. Akka.Persistence.Sql, Akka.Persistence.EventStore) — throwsNotSupportedExceptionoff the actor threadDictionary<string, Task>) — concurrent access from actor thread and thread pool causesInvalidOperationExceptionThis release removes the
Task.Yield()calls and restores the original dispatch behavior. A future version may reintroduce this optimization with a more targeted approach that preserves the plugin threading contract.If you are on v1.5.66, upgrade to v1.5.67 immediately if you use any third-party persistence plugin.
Changes:
This list of changes was auto generated.
1.5.66
1.5.66 April 24th, 2026
Akka.NET v1.5.66 is a significant release with persistence bug fixes, major Akka.Streams improvements including OpenTelemetry trace propagation and non-blocking materialized values, and new serialization security controls.
Akka.Streams: OpenTelemetry Trace Context Propagation
Akka.Streams now propagates
System.Diagnostics.Activitytrace context end-to-end through stream graphs, including across async stage boundaries, fan-in merges, and fan-out broadcasts. This enables full distributed tracing visibility into stream pipelines when using OpenTelemetry.For full documentation, see: https://getakka.net/articles/streams/stream-tracing.html
Akka.Streams: Non-Blocking Materialized-Value TaskCompletionSource
All
TaskCompletionSourceinstances used for materialized values across Akka.Streams now useTaskCreationOptions.RunContinuationsAsynchronously, eliminating potential deadlocks and thread-pool starvation when continuations run synchronously on completion.Akka.Persistence
Akka.Core
New Features
allow-unregistered-typesserialization setting — when set tofalse,FindSerializerForTypethrowsSerializationExceptionif no explicit serializer binding exists, rather than falling back to the default serializer.Documentation
4 contributors since release 1.5.65
To see the full set of changes in Akka.NET v1.5.66, click here.
Changes:
... (truncated)
1.5.65
1.5.65 April 10th, 2026
Akka.NET v1.5.65 is a maintenance release with important bug fixes for Akka.Cluster.Sharding, Akka.Core configuration, and Akka.TestKit.
Akka.Cluster.Sharding Bug Fixes
ShardStoppedsafety net from #8055 fires spuriously after every successful rebalance, causing the same shard to be allocated to 2+ nodes simultaneously.AwaitingLeasestashesHandOffmessages indefinitely, preventing the coordinator from reclaiming stuck shards.StartShardRebalanceIfNeededsilently skips shards during graceful shutdown when a rebalance is already in progress.Akka.Core Bug Fixes
Settings.InjectTopLevelFallbackthat could cause configuration corruption under concurrent access.Akka.TestKit Bug Fixes
IAsyncLifetime.1 contributor since release 1.5.64
To see the full set of changes in Akka.NET v1.5.65, click here.
Changes:
This list of changes was auto generated.
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