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[RESULTS] [VOTE] Release Kafka version 4.2.1

This vote passes with 5 +1 votes (3 bindings) and no 0 or -1 votes. +1 votes PMC Members: * Mickael Maison * Lucas Brutschy * Chia-Ping Tsai Committers: * No votes Community: * Jakub Scholz * Maroš Orsák 0 votes * No votes -1 votes * No votes Vote thread: https://lists.apache.org/thread/o3rcbdwv2sl264x71yy26tv71s1mxmkv, https://lists.apache.org/thread/y5m2p9572sv7x2odc8b4yqzk7yr1z786 I'll continue with the release process and the release announcement will follow in the next few days. PoAn

Kafka Streams REPLACE_THREAD recovery delayed by session.timeout.ms since 4.0 — dying consumer no longer sends LeaveGroup (intentional?)

Hi all, We're upgrading a Kafka Streams service from 3.9.0 to 4.x and ran into a behavioral change in REPLACE_THREAD recovery that we'd like to understand whether it's intended. Summary When the StreamsUncaughtExceptionHandler returns REPLACE_THREAD, recovery time jumps from sub-second (3.9.x) to ~`session.timeout.ms(45 s default) starting with4.0. We've traced this to the dying consumer no longer sending a LeaveGroup` request on shutdown — the broker therefore has to wait for the session to expire before it triggers a rebalance. This appears to be the combined effect of KIP-1092 (which added the GroupMembershipOperation filter in AbstractCoordinator) and Streams' replaceStreamThread() passing REMAIN_IN_GROUP to the consumer's close path. We understand the rationale (avoid partition bouncing for stateful apps where the new thread starts in the same JVM), but the 45 s floor undermines KIP-671's promise of "fast in-place recovery from ...

Kafka Streams REPLACE_THREAD recovery delayed by session.timeout.ms since 4.0 — dying consumer no longer sends LeaveGroup (intentional?)

Hi all, We're upgrading a Kafka Streams service from 3.9.0 to 4.x and ran into a behavioral change in REPLACE_THREAD recovery that we'd like to understand whether it's intended. Summary When the StreamsUncaughtExceptionHandler returns REPLACE_THREAD, recovery time jumps from sub-second (3.9.x) to ~`session.timeout.ms(45 s default) starting with4.0. We've traced this to the dying consumer no longer sending a LeaveGroup` request on shutdown — the broker therefore has to wait for the session to expire before it triggers a rebalance. This appears to be the combined effect of KIP-1092 (which added the GroupMembershipOperation filter in AbstractCoordinator) and Streams' replaceStreamThread() passing REMAIN_IN_GROUP to the consumer's close path. We understand the rationale (avoid partition bouncing for stateful apps where the new thread starts in the same JVM), but the 45 s floor undermines KIP-671's promise of "fast in-place recovery from ...

Re: [VOTE] 4.2.1 RC5

Hi, Besides manual checks, I have also run the Strimzi test container tests on Aarch64 image build from https://dist.apache.org/repos/dist/dev/kafka/4.2.1-rc5/kafka_2.13-4.2.1.tgz, all tests passed without issues. +1 (non-binding), Cheers, Maros št 28. 5. 2026 o 6:05 Chia-Ping Tsai <chia7712@apache.org> napísal(a): > +1 (binding) > > - Run E2E tests locally; all passed with a few retries. > - Set up a 3-node cluster and ran a simple producer/consumer workflow; no > obvious performance regression. > - Run unit/integration tests locally; all passed with minimal retries. > > Best, > Chia-Ping > > On 2026/05/14 10:41:11 PoAn Yang wrote: > > Hello Kafka users, developers and client-developers, > > > > This is the third candidate for release of Apache Kafka 4.2.1. > > > > This is the first bug fix release for Apache Kafka 4.2 with fixes as > > described in the release notes. In the t...

Re: [VOTE] 4.2.1 RC5

+1 (binding) - Run E2E tests locally; all passed with a few retries. - Set up a 3-node cluster and ran a simple producer/consumer workflow; no obvious performance regression. - Run unit/integration tests locally; all passed with minimal retries. Best, Chia-Ping On 2026/05/14 10:41:11 PoAn Yang wrote: > Hello Kafka users, developers and client-developers, > > This is the third candidate for release of Apache Kafka 4.2.1. > > This is the first bug fix release for Apache Kafka 4.2 with fixes as > described in the release notes. In the third candidate, it adds KAFKA-20572. > > Release notes for the 4.2.1 release: > https://dist.apache.org/repos/dist/dev/kafka/4.2.1-rc5/RELEASE_NOTES.html > > Please download, test and vote by Thursday, May 20, 9pm PT. > > Kafka's KEYS file containing PGP keys we use to sign the release: > https://kafka.apache.org/KEYS > > * Release artifacts to be voted upon (source and bi...

Re: [ANNOUNCE] Apache Kafka 4.3.0

Thanks to Mickael for driving the 4.3.0 release > Mickael Maison <mimaison@apache.org> 於 2026年5月22日 晚上8:29 寫道: > > The Apache Kafka community is pleased to announce the release for > Apache Kafka 4.3.0 > > All of the changes in this release can be found in the release notes: > https://www.apache.org/dist/kafka/4.3.0/RELEASE_NOTES.html > > > An overview of the release can be found in our announcement blog post: > https://kafka.apache.org/blog/2026/05/22/apache-kafka-4.3.0-release-announcement/ > > You can download the source and binary release (Scala 2.13) from: > https://kafka.apache.org/downloads#4.3.0 > > --------------------------------------------------------------------------------------------------- > > > Apache Kafka is a distributed streaming platform with four core APIs: > > > ** The Producer API allows an application to publish a stream of records to > one or more ...

[ANNOUNCE] Apache Kafka 4.3.0

The Apache Kafka community is pleased to announce the release for Apache Kafka 4.3.0 All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/4.3.0/RELEASE_NOTES.html An overview of the release can be found in our announcement blog post: https://kafka.apache.org/blog/2026/05/22/apache-kafka-4.3.0-release-announcement/ You can download the source and binary release (Scala 2.13) from: https://kafka.apache.org/downloads#4.3.0 --------------------------------------------------------------------------------------------------- Apache Kafka is a distributed streaming platform with four core APIs: ** The Producer API allows an application to publish a stream of records to one or more Kafka topics. ** The Consumer API allows an application to subscribe to one or more topics and process the stream of records produced to them. ** The Streams API allows an application to act as a stream processor, consuming an inpu...