Thanks to Teng and Luke for running 3.9.1! Justine Olshan <jols...@confluent.io.invalid> 於 2025年5月21日 週三 下午11:34寫道：
> Yay! Thanks Luke and TengYao for running this release. > > Justine > > On Tue, May 20, 2025 at 8:36 PM TengYao Chi <frankvi...@apache.org> wrote: > > > The Apache Kafka community is pleased to announce the release for > > Apache Kafka 3.9.1 > > > > This bug-fix release has several fixes, and most importantly, it adds > > Java 23 support. > > > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/3.9.1/RELEASE_NOTES.html > > > > > > An overview of the release can be found in our announcement blog post: > > https://kafka.apache.org/blog#apache_kafka_391_release_announcement > > > > You can download the source and binary release (Scala 2.12 / 2.13) from: > > https://kafka.apache.org/downloads#3.9.1 > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > Apache Kafka is a distributed streaming platform with four core APIs: > > > > ** The Producer API allows an application to publish a stream of 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 applications: > > > > ** 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 57 contributors to this release! > > (Please report an unintended omission) > > Alieh Saeedi, Almog Gavra, Alyssa Huang, Andrew Schofield, Anna Sophie > > Blee-Goldman, Ayoub Omari, Azhar Ahmed, Bill Bejeck, Bruno Cadonna, > > Chia-Ping Tsai, Colin Patrick McCabe, Colt McNealy, David Arthur, > > David Jacot, Dimitar Dimitrov, Divij Vaidya, Edoardo Comar, Federico > > Valeri, Florian Hussonnois, Greg Harris, Guozhang Wang, Hailey Ni, > > Ismael Juma, Jeff Kim, Jhen-Yung Hsu, Jonah Hooper, Jorge Esteban > > Quilcate Otoya, Josep Prat, José Armando García Sancio, Jun Rao, > > Justin Lee, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kirk > > True, Kuan-Po Tseng, Laxman Ch, Lianet Magrans, Logan Zhu, Lucas > > Brutschy, Luke Chen, Manikumar Reddy, Martin Sillence, Matthias J. > > Sax, Mickael Maison, Ming-Yen Chung, Nick Telford, nilmadhab mondal, > > Parker Chang, PoAn Yang, Sean Quah, Sebastien Viale, ShivsundarR, Stig > > Døssing, TaiJuWu, TengYao Chi, Vedarth Sharma, Ziming Deng > > > > 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 Chen, TengYao Chi > > Release Managers for Apache Kafka 3.9.1 > > >
