Thanks Luke for running this release! On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <chia7...@gmail.com> wrote:
> Thank Luke for this hard work!!! > > > Chris Egerton <fearthecel...@gmail.com> 於 2023年6月7日 上午10:35 寫道： > > > > 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 > >> > >
