The Apache Kafka community is pleased to announce the release for Apache Kafka 2.3.0. This release includes several new features, including:
- There have been several improvements to the Kafka Connect REST API. - Kafka Connect now supports incremental cooperative rebalancing. - Kafka Streams now supports an in-memory session store and window store. - The AdminClient now allows users to determine what operations they are authorized to perform on topics. - There is a new broker start time metric. - JMXTool can now connect to secured RMI ports. - An incremental AlterConfigs API has been added. The old AlterConfigs API has been deprecated. - We now track partitions which are under their min ISR count. - Consumers can now opt-out of automatic topic creation, even when it is enabled on the broker. - Kafka components can now use external configuration stores (KIP-421) - We have implemented improved replica fetcher behavior when errors are encountered All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and 2.12) from: https://kafka.apache.org/downloads#2.3.0 All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and 2.12) from: https://kafka.apache.org/downloads#2.3.0 --------------------------------------------------------------------------------------------------- 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 101 contributors to this release! Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar, Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang 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, Colin
