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Posted to dev@kafka.apache.org by Chris Egerton <ce...@apache.org> on 2023/01/23 22:17:43 UTC
[ANNOUNCE] Apache Kafka 3.3.2
The Apache Kafka community is pleased to announce the release for Apache
Kafka 3.3.2
Apache Kafka 3.3.2 is a bugfix release and it contains, among other things,
fixes for 20 issues reported since 3.3.1.
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.3.2/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.12 and 2.13) from:
https://kafka.apache.org/downloads#3.3.2
---------------------------------------------------------------------------------------------------
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 39 contributors to this release!
A. Sophie Blee-Goldman, Alyssa Huang, Artem Livshits, Bill Bejeck, Calvin
Liu, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin Patrick McCabe,
Dan Stelljes, David Arthur, David Jacot, Divij Vaidya, FUNKYE, Greg Harris,
Huilin Shi, Igor Soarez, Ismael Juma, Jason Gustafson, Jeff Kim, Jorge
Esteban Quilcate Otoya, José Armando García Sancio, Justine Olshan, Kirk
True, liuzhuang2017, Lucas Brutschy, Luke Chen, Matthias J. Sax, Mickael
Maison, Niket, Pratim SC, Purshotam Chauhan, Rohan, Ron Dagostino, Shawn,
srishti-saraswat, Sushant Mahajan, Vicky Papavasileiou, zou shengfu
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,
Chris
Re: [ANNOUNCE] Apache Kafka 3.3.2
Posted by Mickael Maison <mi...@gmail.com>.
Thanks Chris!
Regarding the post announcement release steps:
1) It looks like another PMC member already added the release to the
Apache Reporter System, so it's done
2) I removed older releases (3.3.1) from the SVN repository
On Wed, Jan 25, 2023 at 4:34 PM Bill Bejeck <bi...@confluent.io.invalid> wrote:
>
> Thanks for running the release Chris!
>
> On Mon, Jan 23, 2023 at 5:18 PM Chris Egerton <ce...@apache.org> wrote:
>
> > The Apache Kafka community is pleased to announce the release for Apache
> > Kafka 3.3.2
> >
> > Apache Kafka 3.3.2 is a bugfix release and it contains, among other things,
> > fixes for 20 issues reported since 3.3.1.
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/3.3.2/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.12 and 2.13) from:
> > https://kafka.apache.org/downloads#3.3.2
> >
> >
> > ---------------------------------------------------------------------------------------------------
> >
> >
> > 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 39 contributors to this release!
> >
> > A. Sophie Blee-Goldman, Alyssa Huang, Artem Livshits, Bill Bejeck, Calvin
> > Liu, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin Patrick McCabe,
> > Dan Stelljes, David Arthur, David Jacot, Divij Vaidya, FUNKYE, Greg Harris,
> > Huilin Shi, Igor Soarez, Ismael Juma, Jason Gustafson, Jeff Kim, Jorge
> > Esteban Quilcate Otoya, José Armando García Sancio, Justine Olshan, Kirk
> > True, liuzhuang2017, Lucas Brutschy, Luke Chen, Matthias J. Sax, Mickael
> > Maison, Niket, Pratim SC, Purshotam Chauhan, Rohan, Ron Dagostino, Shawn,
> > srishti-saraswat, Sushant Mahajan, Vicky Papavasileiou, zou shengfu
> >
> > 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,
> >
> > Chris
> >
Re: [ANNOUNCE] Apache Kafka 3.3.2
Posted by Bill Bejeck <bi...@confluent.io.INVALID>.
Thanks for running the release Chris!
On Mon, Jan 23, 2023 at 5:18 PM Chris Egerton <ce...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 3.3.2
>
> Apache Kafka 3.3.2 is a bugfix release and it contains, among other things,
> fixes for 20 issues reported since 3.3.1.
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/3.3.2/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.12 and 2.13) from:
> https://kafka.apache.org/downloads#3.3.2
>
>
> ---------------------------------------------------------------------------------------------------
>
>
> 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 39 contributors to this release!
>
> A. Sophie Blee-Goldman, Alyssa Huang, Artem Livshits, Bill Bejeck, Calvin
> Liu, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin Patrick McCabe,
> Dan Stelljes, David Arthur, David Jacot, Divij Vaidya, FUNKYE, Greg Harris,
> Huilin Shi, Igor Soarez, Ismael Juma, Jason Gustafson, Jeff Kim, Jorge
> Esteban Quilcate Otoya, José Armando García Sancio, Justine Olshan, Kirk
> True, liuzhuang2017, Lucas Brutschy, Luke Chen, Matthias J. Sax, Mickael
> Maison, Niket, Pratim SC, Purshotam Chauhan, Rohan, Ron Dagostino, Shawn,
> srishti-saraswat, Sushant Mahajan, Vicky Papavasileiou, zou shengfu
>
> 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,
>
> Chris
>
Re: [ANNOUNCE] Apache Kafka 3.3.2
Posted by Bill Bejeck <bi...@confluent.io.INVALID>.
Thanks for running the release Chris!
On Mon, Jan 23, 2023 at 5:18 PM Chris Egerton <ce...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 3.3.2
>
> Apache Kafka 3.3.2 is a bugfix release and it contains, among other things,
> fixes for 20 issues reported since 3.3.1.
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/3.3.2/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.12 and 2.13) from:
> https://kafka.apache.org/downloads#3.3.2
>
>
> ---------------------------------------------------------------------------------------------------
>
>
> 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 39 contributors to this release!
>
> A. Sophie Blee-Goldman, Alyssa Huang, Artem Livshits, Bill Bejeck, Calvin
> Liu, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin Patrick McCabe,
> Dan Stelljes, David Arthur, David Jacot, Divij Vaidya, FUNKYE, Greg Harris,
> Huilin Shi, Igor Soarez, Ismael Juma, Jason Gustafson, Jeff Kim, Jorge
> Esteban Quilcate Otoya, José Armando García Sancio, Justine Olshan, Kirk
> True, liuzhuang2017, Lucas Brutschy, Luke Chen, Matthias J. Sax, Mickael
> Maison, Niket, Pratim SC, Purshotam Chauhan, Rohan, Ron Dagostino, Shawn,
> srishti-saraswat, Sushant Mahajan, Vicky Papavasileiou, zou shengfu
>
> 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,
>
> Chris
>