Thanks for running the release Luke! On Wed, Jun 7, 2023 at 4:29 AM Tom Bentley <tbent...@redhat.com> wrote:
> Thanks Luke! > > On Wed, 7 Jun 2023 at 09:11, Mickael Maison <mickael.mai...@gmail.com> > wrote: > > > 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 > > > >>>>> > > > >>> > > > >>> > > > > >
