Thanks for running this release, Luke! On Tue, Jun 6, 2023, 22:31 Luke Chen <show...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for > Apache Kafka 3.4.1. > > This is a bug fix release and it includes fixes and improvements from > 58 JIRAs, including a few critical bugs: > - core > KAFKA-14644 Process should stop after failure in raft IO thread > KAFKA-14946 KRaft controller node shutting down while renouncing leadership > KAFKA-14887 ZK session timeout can cause broker to shutdown > - client > KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition > in one rebalance cycle > - connect > KAFKA-12558 MM2 may not sync partition offsets correctly > KAFKA-14666 MM2 should translate consumer group offsets behind replication > flow > - stream > KAFKA-14172 bug: State stores lose state when tasks are reassigned under > EOS > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html > > You can download the source and binary release (Scala 2.12 and Scala 2.13) > from: > > https://kafka.apache.org/downloads#3.4.1 > > > --------------------------------------------------------------------------------------------------- > > Apache Kafka is a distributed streaming platform with four core APIs: > > ** The Producer API allows an application to publish a stream 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 input stream from one or more topics and producing an > output stream to one or more output topics, effectively transforming > the input streams to output streams. > > ** The Connector API allows building and running reusable producers or > consumers that connect Kafka topics to existing applications or data > systems. For example, a connector to a relational database might > capture every change to a table. > > > With these APIs, Kafka can be used for two broad classes of application: > > ** Building real-time streaming data pipelines that reliably get data > between systems or applications. > > ** Building real-time streaming applications that transform or react > to the streams of data. > > Apache Kafka is in use at large and small companies worldwide, > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix, > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and > Zalando, among others. > > A big thank you for the following 32 contributors to this release! > > atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, > csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt, > emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino, > hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José > Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy, > Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini > Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash > Mayya > > We welcome your help and feedback. For more information on how to > report problems, and to get involved, visit the project website at > https://kafka.apache.org/ > > > Thank you! > > Regards, > Luke >
