Thanks Luke!
On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash <kamal.chandraprak...@gmail.com> wrote: > > 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 > > >> > > > >
