Thanks, David, for running this release. C.
On Tue, Aug 2, 2022, at 12:09, Matthew Benedict de Detrich wrote: > Thanks for organising the release! > > -- > Matthew de Detrich > Aiven Deutschland GmbH > Immanuelkirchstraße 26, 10405 Berlin > Amtsgericht Charlottenburg, HRB 209739 B > > Geschäftsführer: Oskari Saarenmaa & Hannu Valtonen > m: +491603708037 > w: aiven.io e: matthew.dedetr...@aiven.io > On 2. Aug 2022, 01:46 +0200, David Arthur <davidart...@apache.org>, wrote: >> The Apache Kafka community is pleased to announce the release for >> Apache Kafka 3.2.1 >> >> This is a bugfix release with several fixes since the release of >> 3.2.0. A few of the major issues include: >> >> * KAFKA-14062 OAuth client token refresh fails with SASL extensions >> * KAFKA-14079 Memory leak in connectors using errors.tolerance=all >> * KAFKA-14024 Cooperative rebalance regression causing clients to get stuck >> >> >> All of the changes in this release can be found in the release notes: >> >> https://www.apache.org/dist/kafka/3.2.1/RELEASE_NOTES.html >> >> >> You can download the source and binary release (Scala 2.12 and 2.13) from: >> >> https://kafka.apache.org/downloads#3.2.1 >> >> --------------------------------------------------------------------------------------------------- >> >> >> 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 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 19 contributors to this release! >> >> Akhilesh Chaganti, Bruno Cadonna, Christopher L. Shannon, David >> Arthur, Divij Vaidya, Eugene Tolbakov, Guozhang Wang, Ismael Juma, >> James Hughes, Jason Gustafson, Kirk True, Lucas Bradstreet, Luke Chen, >> Nicolas Guyomar, Niket Goel, Okada Haruki, Shawn Wang, Viktor >> Somogyi-Vass, Walker Carlson >> >> 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, >> David Arthur
