The Apache Kafka community is pleased to announce the release for Apache
Kafka 3.2.0
* log4j 1.x is replaced with reload4j (KAFKA-9366)
* StandardAuthorizer for KRaft (KIP-801)
* Send a hint to the partition leader to recover the partition (KIP-704)
* Top-level error code field in DescribeLogDirsResponse (KIP-784)
* kafka-console-producer writes headers and null values (KIP-798 and
KIP-810)
* JoinGroupRequest and LeaveGroupRequest have a reason attached (KIP-800)
* Static membership protocol lets the leader skip assignment (KIP-814)
* Rack-aware standby task assignment in Kafka Streams (KIP-708)
* Interactive Query v2 (KIP-796, KIP-805, and KIP-806)
* Connect APIs list all connector plugins and retrieve their
configuration (KIP-769)
* TimestampConverter SMT supports different unix time precisions (KIP-808)
* Connect source tasks handle producer exceptions (KIP-779)
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.2.0/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.12 and 2.13) from:
https://kafka.apache.org/downloads#3.2.0
---------------------------------------------------------------------------------------------------
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 113 contributors to this release!
A. Sophie Blee-Goldman, Adam Kotwasinski, Aleksandr Sorokoumov,
Alexandre Garnier, Alok Nikhil, aSemy, Bounkong Khamphousone, bozhao12,
Bruno Cadonna, Chang, Chia-Ping Tsai, Chris Egerton, Colin P. Mccabe,
Colin Patrick McCabe, Cong Ding, David Arthur, David Jacot, David Mao,
defhacks, dengziming, Ed B, Edwin, florin-akermann, GauthamM-official,
GuoPhilipse, Guozhang Wang, Hao Li, Haoze Wu, Idan Kamara, Ismael Juma,
Jason Gustafson, Jason Koch, Jeff Kim, jiangyuan, Joel Hamill, John
Roesler, Jonathan Albrecht, Jorge Esteban Quilcate Otoya, Josep Prat,
Joseph (Ting-Chou) Lin, José Armando García Sancio, Jules Ivanic, Julien
Chanaud, Justin Lee, Justine Olshan, Kamal Chandraprakash, Kate Stanley,
keashem, Kirk True, Knowles Atchison, Jr, Konstantine Karantasis,
Kowshik Prakasam, kurtostfeld, Kvicii, Lee Dongjin, Levani Kokhreidze,
lhunyady, Liam Clarke-Hutchinson, liym, loboya~, Lucas Bradstreet,
Ludovic DEHON, Luizfrf3, Luke Chen, Marc Löhe, Matthew Wong, Matthias J.
Sax, Michal T, Mickael Maison, Mike Lothian, mkandaswamy, Márton
Sigmond, Nick Telford, Niket, Okada Haruki, Paolo Patierno, Patrick
Stuedi, Philip Nee, Prateek Agarwal, prince-mahajan, Rajini Sivaram,
Randall Hauch, Richard, RivenSun, Rob Leland, Ron Dagostino, Sayantanu
Dey, Stanislav Vodetskyi, sunshujie1990, Tamara Skokova, Tim Patterson,
Tolga H. Dur, Tom Bentley, Tomonari Yamashita, vamossagar12, Vicky
Papavasileiou, Victoria Xia, Vijay Krishna, Vincent Jiang, Walker
Carlson, wangyap, Wenhao Ji, Wenjun Ruan, Xiaobing Fang, Xiaoyue Xue,
xuexiaoyue, Yang Yu, yasar03, Yu, Zhang Hongyi, zzccctv, 工业废水, 彭小漪
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,
Bruno
