[ANNOUNCE] Apache Kafka 0.10.2.2 Released
-BEGIN PGP SIGNED MESSAGE- Hash: SHA512 The Apache Kafka community is pleased to announce the release for Apache Kafka 0.10.2.2. This is a bug fix release and it includes fixes and improvements from 29 JIRAs, including a few critical bugs. All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/0.10.2.2/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and Scala 2.12) from: https://kafka.apache.org/downloads#0.10.2.2 - - --- 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.three key capabilities: 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 30 contributors to this release! Ewen Cheslack-Postava, Matthias J. Sax, Randall Hauch, Eno Thereska, Damian Guy, Rajini Sivaram, Colin P. Mccabe, Kelvin Rutt, Kyle Winkelman, Max Zheng, Guozhang Wang, Xavier Léauté, Konstantine Karantasis, Paolo Patierno, Robert Yokota, Tommy Becker, Arjun Satish, Xi Hu, Armin Braun, Edoardo Comar, Gunnar Morling, Gwen Shapira, Hooman Broujerdi, Ismael Juma, Jaikiran Pai, Jarek Rudzinski, Jason Gustafson, Jun Rao, Manikumar Reddy, Maytee Chinavanichkit 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 -BEGIN PGP SIGNATURE- Comment: GPGTools - https://gpgtools.org iQIzBAEBCgAdFiEEeiQdEa0SVXokodP3DccxaWtLg18FAls8BUYACgkQDccxaWtL g1+OrQ/+LoroZm+Cg4tv1x9zkI/J5JF1SKiHAvwif8Y3GWyy5WWoVleanVGFhNkL tqkNCSHTCKTbIgfZ2o/+bJBAtyFVeW+A43sefoyc0pL1ohMisTJYSeqk1VkuFXNQ Hg5A0G6YllnJzi/GFjKlEFGrxpoO0rGzh2AqrOvaS3hAWj8c8UeDe9JPrdhtSiRn GjmQuCdJJWPKYRCth+FSSJ7TZ2S5sX9ZeAfDm0V6ySIPFKrKDVD4i73KvUr6f9NX Hkb5L0dGVRdXmQbfKRDUVlD4zDyPXc3ooCy7dXfeuqmAffyssTRmRu0vTBFo1QFV o2phbZgg8Q8LB5QUrxXUXm5PnyToX5ZeM7Y9YmrNRf5kkQrBgqzeUZz1V+ty2nr9 70RcqvLFIFeumXgBWwJfZxyzEZqqJPqb9oXr0Pd0LGZc4SDRkwgS/mcZ0eCkGilW cS8vKIS7zSR+Ut8aoEqVOa7hEDSj4iEhy23e41k1cu8hWGmyzyYVMNLEnuKISItk 863gmHVBiXwFi31hOVXIJnAW+NPBTibFG5o6iXhzlYf3EkLxnd5zD4RGndq6+TZN ayvM8svZ6pOgQ4lTLsOWpsJoHvsmxMkrRrih5iLCLlBbaaGaX2z78z02rwbYtfja f0gICl3+0Yhu5b062itHfsSdNQ7CeXsFMR9K0qwuQZDcDryA/uw= =3P20 -END PGP SIGNATURE-
[ANNOUNCE] Apache Kafka 0.11.0.3 Released
-BEGIN PGP SIGNED MESSAGE- Hash: SHA512 The Apache Kafka community is pleased to announce the release for Apache Kafka 0.11.0.3. This is a bug fix release and it includes fixes and improvements from 27 JIRAs, including a few critical bugs. All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/0.11.0.3/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and Scala 2.12) from: https://kafka.apache.org/downloads#0.11.0.3 - - --- 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.three key capabilities: 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 26 contributors to this release! Matthias J. Sax, Ewen Cheslack-Postava, Konstantine Karantasis, Guozhang Wang, Rajini Sivaram, Randall Hauch, tedyu, Jagadesh Adireddi, Jarek Rudzinski, Jason Gustafson, Jeremy Custenborder, Anna Povzner, Joel Hamill, John Roesler, Max Zheng, Mickael Maison, Robert Yokota, Yaswanth Kumar, parafiend, Jiangjie (Becket) Qin, Arjun Satish, Bill Bejeck, Damian Guy, Gitomain, Gunnar Morling, Ismael Juma 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 -BEGIN PGP SIGNATURE- Comment: GPGTools - https://gpgtools.org iQIzBAEBCgAdFiEEeiQdEa0SVXokodP3DccxaWtLg18FAls8BecACgkQDccxaWtL g1/NIhAAj1ipOyOqaWjfJh+cOgYBzpytIvTzAZzDHq8iWadtFtlY8xD+FgNncRja NZ5kxQ25Eq8RpGZdphBPrMuD7QYC6ON5GtJ8/QKSOVmgtBSyYbvA/rQChu12SSqU /DN/Il0Xl/jLUXk+LeRSIlUlxyeZ7tIDO6AmT+yZjkfQBc9cRHCGgP6L7VjJlhVP GyILhtyA2cWPvJCYTmYPk1euFZOX80+zw7OYu2TpDcSL3V3/z4mSABt2rg3vRkcb wFFpuIMJL/Srbg/ryDk6joEoSAKfBFZzKQqEj6/zaeWsmnS9q4dqaAg6Ddbt30Nn Rtbl3G82GeBZ/REe+ile5jUn2smXyrOf3J/CK6g+GBb2voTm8Ix4FWPvdh4DVwQC KqdePmwESs72rKwZ/dlF4RLxd1jyEoql1USsDemh0PPPvDIaAdMi062ZVB7UaMQY UE3PuhVEMotmtNdG72ErO8elnXzUH3Su2jWuvBxylghsug3mhhEtf88EPDXYN7RD cg2QF8n3yOQ00H7lFoSnqGUcjwLIKCgOCnBb8SWYJkMbQyIwljHJMtdtjt6lIrzd riz4abSmVpLzAQ9mAUeOtAMt1DrKpibOIadd7LRWJqmU6MwIw/Sw4NkNX5pjC3g9 J+HkxhT/wODxQkBBsW2ZMrabFOPUwFRDRat19W80JVe/UfoUd7I= =ZdLN -END PGP SIGNATURE-
[ANNOUCE] Apache Kafka 1.0.2 Released
-BEGIN PGP SIGNED MESSAGE- Hash: SHA512 The Apache Kafka community is pleased to announce the release for Apache Kafka 1.0.2. This is a bug fix release and it includes fixes and improvements from 27 JIRAs, including a few critical bugs. All of the changes in this release can be found in the release notes: https://www.apache.org/dist/kafka/1.0.2/RELEASE_NOTES.html You can download the source and binary release (Scala 2.11 and Scala 2.12) from: https://kafka.apache.org/downloads#1.0.2 - - --- 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.three key capabilities: 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 32 contributors to this release! Matthias J. Sax, Rajini Sivaram, Anna Povzner, Jason Gustafson, Ewen Cheslack-Postava, Guozhang Wang, Dong Lin, huxi, John Roesler, Ismael Juma, Jun Rao, Manikumar Reddy O, Max Zheng, Mickael Maison, Radai Rosenblatt, Randall Hauch, Robert Yokota, Vahid Hashemian, fredfp, hmcl, ro7m, tedyu, wushujames, Attila Sasvari, Bill Bejeck, Colin Patrick McCabe, Damian Guy, Dhruvil Shah, Gitomain, Gunnar Morling, Jagadesh Adireddi, Jarek Rudzinski 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 -BEGIN PGP SIGNATURE- Comment: GPGTools - https://gpgtools.org iQIzBAEBCgAdFiEEeiQdEa0SVXokodP3DccxaWtLg18FAltMGzAACgkQDccxaWtL g1/4Lw//ZxIURGOjqbNYriDuOWHOyPDK1miCGgXuTpFvmee1QRH9dEVkMmoNtQeU Gms8BhBpQ8LXIfbQuyjH6Fktggk264wUT7+Jj7ZE7OKlbN08VmovgV36XCfljDKD n23cD/DQWUO1rWimQ5996C1m3GxriQgOmdaI/Lx3cK8P2Pgw/U5RAYVv+vNywhzG NH+5ETfoujVgXPngmUSkfoaTXtsqKOvSFhB6PJzzD8I5Aw9AUsZU7JM5OVi3fWB7 MRMGR60d7cq4X+SWDdOtbl0i6XSHpzljSrQtw4V3Fouh7jMY0wnDUa5g+Y9F5wKq +TULjN21ickUokVJx64aSbyD6zFdJFZdkL3e/jzBcSD3KrZydVp6X+g6ryx5UlU9 NopOByPTsxAKMBNCTOo5emYHkLpSNDX70kK8v9XzLvR+AOL1pfH/JhdEbCdyxeBT PYKZwoim0SRo7r1J0Uk6EhN1uOHoZ0cxpEafTKSFoFLPUB0AaCVEaqIygjOo14iU eo2KXKx9dZQsWRapKMtGrR1bWLF4fsUFPuZu5HeREMQD6rXChKax4+9oUytpZT3t xzpgbyfo5U9rvz83Tu0VDWl8k+SVboZ2xbzX+mLTDUCPIMH2+QPwIngd0eG8jChb hKqRxJTgWAaiBz9rtiNNgBZU5ifyfNmBuR4oomtpM0KJUpq4aHk= =5DCC -END PGP SIGNATURE-
[ANNOUNCE] Apache Kafka 2.2.0
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