Thanks for running the release!
On Wed, Jun 7, 2023 at 9:11 AM Bruno Cadonna <cado...@apache.org> wrote: > > Thanks Luke! > > On 07.06.23 07:55, Federico Valeri wrote: > > 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 > >>>>> > >>> > >>>
