The Apache Kafka community is pleased to announce the release for Apache Kafka 3.0.0
It is a major release that includes many new features, including: * The deprecation of support for Java 8 and Scala 2.12. * Kafka Raft support for snapshots of the metadata topic and other improvements in the self-managed quorum. * Deprecation of message formats v0 and v1. * Stronger delivery guarantees for the Kafka producer enabled by default. * Optimizations in OffsetFetch and FindCoordinator requests. * More flexible MirrorMaker 2 configuration and deprecation of MirrorMaker 1. * Ability to restart a connector's tasks on a single call in Kafka Connect. * Connector log contexts and connector client overrides are now enabled by default. * Enhanced semantics for timestamp synchronization in Kafka Streams. * Revamped public API for Stream's TaskId. * Default serde becomes null in Kafka Streams and several other configuration changes. You may read a more detailed list of features in the 3.0.0 blog post: https://blogs.apache.org/kafka/ All of the changes in this release can be found in the release notes: https://downloads.apache.org/kafka/3.0.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.12 and 2.13) from: https://kafka.apache.org/downloads#3.0.0 --------------------------------------------------------------------------------------------------- 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 141 authors and reviewers to this release! A. Sophie Blee-Goldman, Adil Houmadi, Akhilesh Dubey, Alec Thomas, Alexander Iskuskov, Almog Gavra, Alok Nikhil, Alok Thatikunta, Andrew Lee, Bill Bejeck, Boyang Chen, Bruno Cadonna, CHUN-HAO TANG, Cao Manh Dat, Cheng Tan, Chia-Ping Tsai, Chris Egerton, Colin P. McCabe, Cong Ding, Daniel Urban, Daniyar Yeralin, David Arthur, David Christle, David Jacot, David Mao, David Osvath, Davor Poldrugo, Dejan Stojadinović, Dhruvil Shah, Diego Erdody, Dong Lin, Dongjoon Hyun, Dániel Urbán, Edoardo Comar, Edwin Hobor, Eric Beaudet, Ewen Cheslack-Postava, Gardner Vickers, Gasparina Damien, Geordie, Greg Harris, Gunnar Morling, Guozhang Wang, Gwen (Chen) Shapira, Ignacio Acuña Frías, Igor Soarez, Ismael Juma, Israel Ekpo, Ivan Ponomarev, Ivan Yurchenko, Jason Gustafson, Jeff Kim, Jim Galasyn, Jim Hurne, JoelWee, John Gray, John Roesler, Jorge Esteban Quilcate Otoya, Josep Prat, José Armando García Sancio, Juan Gonzalez-Zurita, Jun Rao, Justin Mclean, Justine Olshan, Kahn Cheny, Kalpesh Patel, Kamal Chandraprakash, Konstantine Karantasis, Kowshik Prakasam, Leah Thomas, Lee Dongjin, Lev Zemlyanov, Liu Qiang, Lucas Bradstreet, Luke Chen, Manikumar Reddy, Marco Aurelio Lotz, Matthew de Detrich, Matthias J. Sax, Michael G. Noll, Michael Noll, Mickael Maison, Nathan Lincoln, Niket Goel, Nikhil Bhatia, Omnia G H Ibrahim, Peng Lei, Phil Hardwick, Rajini Sivaram, Randall Hauch, Rohan Desai, Rohit Deshpande, Rohit Sachan, Ron Dagostino, Ryan Dielhenn, Ryanne Dolan, Sanjana Kaundinya, Sarwar Bhuiyan, Satish Duggana, Scott Hendricks, Sergio Peña, Shao Yang Hong, Shay Elkin, Stanislav Vodetskyi, Sven Erik Knop, Tom Bentley, UnityLung, Uwe Eisele, Vahid Hashemian, Valery Kokorev, Victoria Xia, Viktor Somogyi-Vass, Viswanathan Ranganathan, Vito Jeng, Walker Carlson, Warren Zhu, Xavier Léauté, YiDing-Duke, Zara Lim, Zhao Haiyuan, bmaidics, cyc, dengziming, feyman2016, high.lee, iamgd67, iczellion, ketulgupta1995, lamberken, loboya~, nicolasguyomar, prince-mahajan, runom, shenwenbing, thomaskwscott, tinawenqiao, vamossagar12, wenbingshen, wycccccc, xjin-Confluent, zhaohaidao 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, Konstantine Karantasis
