Thanks for running the release David! -Bill
On Tue, Aug 2, 2022 at 4:34 AM Mickael Maison <mickael.mai...@gmail.com> wrote: > Thanks David for driving this release! > > On Tue, Aug 2, 2022 at 1:46 AM 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 >
