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Posted to dev@kafka.apache.org by Bruno Cadonna <ca...@apache.org> on 2022/05/17 16:01:23 UTC
[ANNOUNCE] Apache Kafka 3.2.0
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
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Mickael Maison <mi...@gmail.com>.
Thanks Bruno for running this release!
On Tue, May 17, 2022 at 6:02 PM Bruno Cadonna <ca...@apache.org> wrote:
>
> 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
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Sagar <sa...@gmail.com>.
Thanks Bruno!
Sagar.
On Wed, May 18, 2022 at 8:27 AM Luke Chen <sh...@gmail.com> wrote:
> Thank you, Bruno!
>
> On Wed, May 18, 2022 at 2:16 AM Guozhang Wang <wa...@gmail.com> wrote:
>
> > Congrats to everyone who's contributed to 3.2.0, and special thank you to
> > Bruno for running the release!
> >
> > Guozhang
> >
> > On Tue, May 17, 2022 at 9:52 AM Bill Bejeck <bb...@apache.org> wrote:
> >
> > > Thanks for running the release Bruno!
> > >
> > > On Tue, May 17, 2022 at 12:02 PM Bruno Cadonna <ca...@apache.org>
> > wrote:
> > >
> > > > 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
> > > >
> > >
> >
> >
> > --
> > -- Guozhang
> >
>
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Luke Chen <sh...@gmail.com>.
Thank you, Bruno!
On Wed, May 18, 2022 at 2:16 AM Guozhang Wang <wa...@gmail.com> wrote:
> Congrats to everyone who's contributed to 3.2.0, and special thank you to
> Bruno for running the release!
>
> Guozhang
>
> On Tue, May 17, 2022 at 9:52 AM Bill Bejeck <bb...@apache.org> wrote:
>
> > Thanks for running the release Bruno!
> >
> > On Tue, May 17, 2022 at 12:02 PM Bruno Cadonna <ca...@apache.org>
> wrote:
> >
> > > 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
> > >
> >
>
>
> --
> -- Guozhang
>
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Guozhang Wang <wa...@gmail.com>.
Congrats to everyone who's contributed to 3.2.0, and special thank you to
Bruno for running the release!
Guozhang
On Tue, May 17, 2022 at 9:52 AM Bill Bejeck <bb...@apache.org> wrote:
> Thanks for running the release Bruno!
>
> On Tue, May 17, 2022 at 12:02 PM Bruno Cadonna <ca...@apache.org> wrote:
>
> > 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
> >
>
--
-- Guozhang
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Bill Bejeck <bb...@apache.org>.
Thanks for running the release Bruno!
On Tue, May 17, 2022 at 12:02 PM Bruno Cadonna <ca...@apache.org> wrote:
> 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
>
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Bruno Cadonna <ca...@apache.org>.
Hi James,
Thank you!
I corrected the mistake.
Best,
Bruno
On 19.05.22 21:30, James Cheng wrote:
> Bruno,
>
> Congrats on the release!
>
> There is a small typo on the page.
>> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetada() to the StateStoreContext,
>
> Should be
>> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetadata() to the StateStoreContext,
>
> I know that the page has already been published, but should we fix that typo?
>
> Thanks!
> -James
>
>
>> On May 17, 2022, at 9:01 AM, Bruno Cadonna <ca...@apache.org> wrote:
>>
>> 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
>
>
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Bruno Cadonna <ca...@apache.org>.
Hi James,
Thank you!
I corrected the mistake.
Best,
Bruno
On 19.05.22 21:30, James Cheng wrote:
> Bruno,
>
> Congrats on the release!
>
> There is a small typo on the page.
>> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetada() to the StateStoreContext,
>
> Should be
>> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetadata() to the StateStoreContext,
>
> I know that the page has already been published, but should we fix that typo?
>
> Thanks!
> -James
>
>
>> On May 17, 2022, at 9:01 AM, Bruno Cadonna <ca...@apache.org> wrote:
>>
>> 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
>
>
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by James Cheng <wu...@gmail.com>.
Bruno,
Congrats on the release!
There is a small typo on the page.
> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetada() to the StateStoreContext,
Should be
> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetadata() to the StateStoreContext,
I know that the page has already been published, but should we fix that typo?
Thanks!
-James
> On May 17, 2022, at 9:01 AM, Bruno Cadonna <ca...@apache.org> wrote:
>
> 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
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by James Cheng <wu...@gmail.com>.
Bruno,
Congrats on the release!
There is a small typo on the page.
> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetada() to the StateStoreContext,
Should be
> KIP-791 <https://cwiki.apache.org/confluence/display/KAFKA/KIP-791%3A+Add+Record+Metadata+to+State+Store+Context> adds method recordMetadata() to the StateStoreContext,
I know that the page has already been published, but should we fix that typo?
Thanks!
-James
> On May 17, 2022, at 9:01 AM, Bruno Cadonna <ca...@apache.org> wrote:
>
> 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
Re: [ANNOUNCE] Apache Kafka 3.2.0
Posted by Bill Bejeck <bb...@apache.org>.
Thanks for running the release Bruno!
On Tue, May 17, 2022 at 12:02 PM Bruno Cadonna <ca...@apache.org> wrote:
> 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
>