The Apache Kafka community is pleased to announce the release for Apache Kafka 2.2.0
- Added SSL support for custom principal name - Allow SASL connections to periodically re-authenticate - Command line tool bin/kafka-topics.sh adds AdminClient support - Improved consumer group management - default group.id is `null` instead of empty string - API improvement - Producer: introduce close(Duration) - AdminClient: introduce close(Duration) - Kafka Streams: new flatTransform() operator in Streams DSL - KafkaStreams (and other classed) now implement AutoClosable to support try-with-resource - New Serdes and default method implementations - Kafka Streams exposed internal client.id via ThreadMetadata - Metric improvements: All `-min`, `-avg` and `-max` metrics will now output `NaN` as default value All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/2.2.0/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and 2.12) from: https://kafka.apache.org/downloads#2.2.0 --------------------------------------------------------------------------------------------------- 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 98 contributors to this release! Alex Diachenko, Andras Katona, Andrew Schofield, Anna Povzner, Arjun Satish, Attila Sasvari, Benedict Jin, Bert Roos, Bibin Sebastian, Bill Bejeck, Bob Barrett, Boyang Chen, Bridger Howell, cadonna, Chia-Ping Tsai, Chris Egerton, Colin Hicks, Colin P. Mccabe, Colin Patrick McCabe, cwildman, Cyrus Vafadari, David Arthur, Dhruvil Shah, Dong Lin, Edoardo Comar, Flavien Raynaud, forficate, Gardner Vickers, Guozhang Wang, Gwen (Chen) Shapira, hackerwin7, hejiefang, huxi, Ismael Juma, Jacek Laskowski, Jakub Scholz, Jarek Rudzinski, Jason Gustafson, Jingguo Yao, John Eismeier, John Roesler, Jonathan Santilli, jonathanskrzypek, Jun Rao, Kamal Chandraprakash, Kan Li, Konstantine Karantasis, lambdaliu, Lars Francke, layfe, Lee Dongjin, linyli001, lu.ke...@berkeley.edu, Lucas Bradstreet, Magesh Nandakumar, Manikumar Reddy, Manikumar Reddy O, Manohar Vanam, Mark Cho, Mathieu Chataigner, Matthias J. Sax, Matthias Wessendorf, matus-cuper, Max Zheng, Mayuresh Gharat, Mickael Maison, mingaliu, Nikolay, occho, Pasquale Vazzana, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, Renato Mefi, Richard Yu, Robert Yokota, Ron Dagostino, ryannatesmith, Samuel Hawker, Satish Duggana, Sayat, seayoun, Shawn Nguyen, slim, Srinivas Reddy, Stanislav Kozlovski, Stig Rohde Døssing, Suman, Tom Bentley, u214578, Vahid Hashemian, Viktor Somogyi, Viktor Somogyi-Vass, Xi Yang, Xiongqi Wu, ying-zheng, Yishun Guan, 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, Matthias
