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Posted to users@kafka.apache.org by Luke Chen <sh...@apache.org> on 2023/06/07 02:30:59 UTC
[ANNOUNCE] Apache Kafka 3.4.1
The Apache Kafka community is pleased to announce the release for
Apache Kafka 3.4.1.
This is a bug fix release and it includes fixes and improvements from
58 JIRAs, including a few critical bugs:
- core
KAFKA-14644 Process should stop after failure in raft IO thread
KAFKA-14946 KRaft controller node shutting down while renouncing leadership
KAFKA-14887 ZK session timeout can cause broker to shutdown
- client
KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
in one rebalance cycle
- connect
KAFKA-12558 MM2 may not sync partition offsets correctly
KAFKA-14666 MM2 should translate consumer group offsets behind replication flow
- stream
KAFKA-14172 bug: State stores lose state when tasks are reassigned under EOS
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.12 and Scala 2.13) from:
https://kafka.apache.org/downloads#3.4.1
---------------------------------------------------------------------------------------------------
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 32 contributors to this release!
atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
Mayya
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,
Luke
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Josep Prat <jo...@aiven.io.INVALID>.
Thanks for running the release!
Best,
———
Josep Prat
Aiven Deutschland GmbH
Alexanderufer 3-7, 10117 Berlin
Amtsgericht Charlottenburg, HRB 209739 B
Geschäftsführer: Oskari Saarenmaa & Hannu Valtonen
m: +491715557497
w: aiven.io
e: josep.prat@aiven.io
On Wed, Jun 7, 2023, 05:57 Kamal Chandraprakash <
kamal.chandraprakash@gmail.com> wrote:
> Thanks Luke for running this release!
>
> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com> wrote:
>
> > Thank Luke for this hard work!!!
> >
> > > Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> > >
> > > Thanks for running this release, Luke!
> > >
> > > On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> > >
> > >> The Apache Kafka community is pleased to announce the release for
> > >> Apache Kafka 3.4.1.
> > >>
> > >> This is a bug fix release and it includes fixes and improvements from
> > >> 58 JIRAs, including a few critical bugs:
> > >> - core
> > >> KAFKA-14644 Process should stop after failure in raft IO thread
> > >> KAFKA-14946 KRaft controller node shutting down while renouncing
> > leadership
> > >> KAFKA-14887 ZK session timeout can cause broker to shutdown
> > >> - client
> > >> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
> > >> in one rebalance cycle
> > >> - connect
> > >> KAFKA-12558 MM2 may not sync partition offsets correctly
> > >> KAFKA-14666 MM2 should translate consumer group offsets behind
> > replication
> > >> flow
> > >> - stream
> > >> KAFKA-14172 bug: State stores lose state when tasks are reassigned
> under
> > >> EOS
> > >>
> > >> All of the changes in this release can be found in the release notes:
> > >>
> > >> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> > >>
> > >> You can download the source and binary release (Scala 2.12 and Scala
> > 2.13)
> > >> from:
> > >>
> > >> https://kafka.apache.org/downloads#3.4.1
> > >>
> > >>
> > >>
> >
> ---------------------------------------------------------------------------------------------------
> > >>
> > >> 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 32 contributors to this release!
> > >>
> > >> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> > >> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> > >> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
> > >> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
> > >> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> > >> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
> > >> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
> > >> Mayya
> > >>
> > >> 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,
> > >> Luke
> > >>
> >
> >
>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Bill Bejeck <bb...@gmail.com>.
Thanks for running the release Luke!
On Wed, Jun 7, 2023 at 4:29 AM Tom Bentley <tb...@redhat.com> wrote:
> Thanks Luke!
>
> On Wed, 7 Jun 2023 at 09:11, Mickael Maison <mi...@gmail.com>
> wrote:
>
> > Thanks for running the release!
> >
> > On Wed, Jun 7, 2023 at 9:11 AM Bruno Cadonna <ca...@apache.org> wrote:
> > >
> > > Thanks Luke!
> > >
> > > On 07.06.23 07:55, Federico Valeri wrote:
> > > > Thanks Luke!
> > > >
> > > > On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash
> > > > <ka...@gmail.com> wrote:
> > > >>
> > > >> Thanks Luke for running this release!
> > > >>
> > > >> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com>
> > wrote:
> > > >>
> > > >>> Thank Luke for this hard work!!!
> > > >>>
> > > >>>> Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> > > >>>>
> > > >>>> Thanks for running this release, Luke!
> > > >>>>
> > > >>>> On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> > > >>>>
> > > >>>>> The Apache Kafka community is pleased to announce the release for
> > > >>>>> Apache Kafka 3.4.1.
> > > >>>>>
> > > >>>>> This is a bug fix release and it includes fixes and improvements
> > from
> > > >>>>> 58 JIRAs, including a few critical bugs:
> > > >>>>> - core
> > > >>>>> KAFKA-14644 Process should stop after failure in raft IO thread
> > > >>>>> KAFKA-14946 KRaft controller node shutting down while renouncing
> > > >>> leadership
> > > >>>>> KAFKA-14887 ZK session timeout can cause broker to shutdown
> > > >>>>> - client
> > > >>>>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns
> > partition
> > > >>>>> in one rebalance cycle
> > > >>>>> - connect
> > > >>>>> KAFKA-12558 MM2 may not sync partition offsets correctly
> > > >>>>> KAFKA-14666 MM2 should translate consumer group offsets behind
> > > >>> replication
> > > >>>>> flow
> > > >>>>> - stream
> > > >>>>> KAFKA-14172 bug: State stores lose state when tasks are
> reassigned
> > under
> > > >>>>> EOS
> > > >>>>>
> > > >>>>> All of the changes in this release can be found in the release
> > notes:
> > > >>>>>
> > > >>>>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> > > >>>>>
> > > >>>>> You can download the source and binary release (Scala 2.12 and
> > Scala
> > > >>> 2.13)
> > > >>>>> from:
> > > >>>>>
> > > >>>>> https://kafka.apache.org/downloads#3.4.1
> > > >>>>>
> > > >>>>>
> > > >>>>>
> > > >>>
> >
> ---------------------------------------------------------------------------------------------------
> > > >>>>>
> > > >>>>> 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 32 contributors to this
> release!
> > > >>>>>
> > > >>>>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> > > >>>>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> > > >>>>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector
> > Geraldino,
> > > >>>>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya,
> > José
> > > >>>>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> > > >>>>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan,
> > Rajini
> > > >>>>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass,
> > Yash
> > > >>>>> Mayya
> > > >>>>>
> > > >>>>> 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,
> > > >>>>> Luke
> > > >>>>>
> > > >>>
> > > >>>
> >
> >
>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Tom Bentley <tb...@redhat.com>.
Thanks Luke!
On Wed, 7 Jun 2023 at 09:11, Mickael Maison <mi...@gmail.com>
wrote:
> Thanks for running the release!
>
> On Wed, Jun 7, 2023 at 9:11 AM Bruno Cadonna <ca...@apache.org> wrote:
> >
> > Thanks Luke!
> >
> > On 07.06.23 07:55, Federico Valeri wrote:
> > > Thanks Luke!
> > >
> > > On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash
> > > <ka...@gmail.com> wrote:
> > >>
> > >> Thanks Luke for running this release!
> > >>
> > >> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com>
> wrote:
> > >>
> > >>> Thank Luke for this hard work!!!
> > >>>
> > >>>> Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> > >>>>
> > >>>> Thanks for running this release, Luke!
> > >>>>
> > >>>> On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> > >>>>
> > >>>>> The Apache Kafka community is pleased to announce the release for
> > >>>>> Apache Kafka 3.4.1.
> > >>>>>
> > >>>>> This is a bug fix release and it includes fixes and improvements
> from
> > >>>>> 58 JIRAs, including a few critical bugs:
> > >>>>> - core
> > >>>>> KAFKA-14644 Process should stop after failure in raft IO thread
> > >>>>> KAFKA-14946 KRaft controller node shutting down while renouncing
> > >>> leadership
> > >>>>> KAFKA-14887 ZK session timeout can cause broker to shutdown
> > >>>>> - client
> > >>>>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns
> partition
> > >>>>> in one rebalance cycle
> > >>>>> - connect
> > >>>>> KAFKA-12558 MM2 may not sync partition offsets correctly
> > >>>>> KAFKA-14666 MM2 should translate consumer group offsets behind
> > >>> replication
> > >>>>> flow
> > >>>>> - stream
> > >>>>> KAFKA-14172 bug: State stores lose state when tasks are reassigned
> under
> > >>>>> EOS
> > >>>>>
> > >>>>> All of the changes in this release can be found in the release
> notes:
> > >>>>>
> > >>>>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> > >>>>>
> > >>>>> You can download the source and binary release (Scala 2.12 and
> Scala
> > >>> 2.13)
> > >>>>> from:
> > >>>>>
> > >>>>> https://kafka.apache.org/downloads#3.4.1
> > >>>>>
> > >>>>>
> > >>>>>
> > >>>
> ---------------------------------------------------------------------------------------------------
> > >>>>>
> > >>>>> 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 32 contributors to this release!
> > >>>>>
> > >>>>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> > >>>>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> > >>>>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector
> Geraldino,
> > >>>>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya,
> José
> > >>>>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> > >>>>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan,
> Rajini
> > >>>>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass,
> Yash
> > >>>>> Mayya
> > >>>>>
> > >>>>> 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,
> > >>>>> Luke
> > >>>>>
> > >>>
> > >>>
>
>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Mickael Maison <mi...@gmail.com>.
Thanks for running the release!
On Wed, Jun 7, 2023 at 9:11 AM Bruno Cadonna <ca...@apache.org> wrote:
>
> Thanks Luke!
>
> On 07.06.23 07:55, Federico Valeri wrote:
> > Thanks Luke!
> >
> > On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash
> > <ka...@gmail.com> wrote:
> >>
> >> Thanks Luke for running this release!
> >>
> >> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com> wrote:
> >>
> >>> Thank Luke for this hard work!!!
> >>>
> >>>> Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> >>>>
> >>>> Thanks for running this release, Luke!
> >>>>
> >>>> On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> >>>>
> >>>>> The Apache Kafka community is pleased to announce the release for
> >>>>> Apache Kafka 3.4.1.
> >>>>>
> >>>>> This is a bug fix release and it includes fixes and improvements from
> >>>>> 58 JIRAs, including a few critical bugs:
> >>>>> - core
> >>>>> KAFKA-14644 Process should stop after failure in raft IO thread
> >>>>> KAFKA-14946 KRaft controller node shutting down while renouncing
> >>> leadership
> >>>>> KAFKA-14887 ZK session timeout can cause broker to shutdown
> >>>>> - client
> >>>>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
> >>>>> in one rebalance cycle
> >>>>> - connect
> >>>>> KAFKA-12558 MM2 may not sync partition offsets correctly
> >>>>> KAFKA-14666 MM2 should translate consumer group offsets behind
> >>> replication
> >>>>> flow
> >>>>> - stream
> >>>>> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
> >>>>> EOS
> >>>>>
> >>>>> All of the changes in this release can be found in the release notes:
> >>>>>
> >>>>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> >>>>>
> >>>>> You can download the source and binary release (Scala 2.12 and Scala
> >>> 2.13)
> >>>>> from:
> >>>>>
> >>>>> https://kafka.apache.org/downloads#3.4.1
> >>>>>
> >>>>>
> >>>>>
> >>> ---------------------------------------------------------------------------------------------------
> >>>>>
> >>>>> 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 32 contributors to this release!
> >>>>>
> >>>>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> >>>>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> >>>>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
> >>>>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
> >>>>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> >>>>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
> >>>>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
> >>>>> Mayya
> >>>>>
> >>>>> 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,
> >>>>> Luke
> >>>>>
> >>>
> >>>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Bruno Cadonna <ca...@apache.org>.
Thanks Luke!
On 07.06.23 07:55, Federico Valeri wrote:
> Thanks Luke!
>
> On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash
> <ka...@gmail.com> wrote:
>>
>> Thanks Luke for running this release!
>>
>> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com> wrote:
>>
>>> Thank Luke for this hard work!!!
>>>
>>>> Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
>>>>
>>>> Thanks for running this release, Luke!
>>>>
>>>> On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
>>>>
>>>>> The Apache Kafka community is pleased to announce the release for
>>>>> Apache Kafka 3.4.1.
>>>>>
>>>>> This is a bug fix release and it includes fixes and improvements from
>>>>> 58 JIRAs, including a few critical bugs:
>>>>> - core
>>>>> KAFKA-14644 Process should stop after failure in raft IO thread
>>>>> KAFKA-14946 KRaft controller node shutting down while renouncing
>>> leadership
>>>>> KAFKA-14887 ZK session timeout can cause broker to shutdown
>>>>> - client
>>>>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
>>>>> in one rebalance cycle
>>>>> - connect
>>>>> KAFKA-12558 MM2 may not sync partition offsets correctly
>>>>> KAFKA-14666 MM2 should translate consumer group offsets behind
>>> replication
>>>>> flow
>>>>> - stream
>>>>> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
>>>>> EOS
>>>>>
>>>>> All of the changes in this release can be found in the release notes:
>>>>>
>>>>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
>>>>>
>>>>> You can download the source and binary release (Scala 2.12 and Scala
>>> 2.13)
>>>>> from:
>>>>>
>>>>> https://kafka.apache.org/downloads#3.4.1
>>>>>
>>>>>
>>>>>
>>> ---------------------------------------------------------------------------------------------------
>>>>>
>>>>> 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 32 contributors to this release!
>>>>>
>>>>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
>>>>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
>>>>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
>>>>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
>>>>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
>>>>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
>>>>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
>>>>> Mayya
>>>>>
>>>>> 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,
>>>>> Luke
>>>>>
>>>
>>>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Federico Valeri <fe...@gmail.com>.
Thanks Luke!
On Wed, Jun 7, 2023 at 5:56 AM Kamal Chandraprakash
<ka...@gmail.com> wrote:
>
> Thanks Luke for running this release!
>
> On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com> wrote:
>
> > Thank Luke for this hard work!!!
> >
> > > Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> > >
> > > Thanks for running this release, Luke!
> > >
> > > On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> > >
> > >> The Apache Kafka community is pleased to announce the release for
> > >> Apache Kafka 3.4.1.
> > >>
> > >> This is a bug fix release and it includes fixes and improvements from
> > >> 58 JIRAs, including a few critical bugs:
> > >> - core
> > >> KAFKA-14644 Process should stop after failure in raft IO thread
> > >> KAFKA-14946 KRaft controller node shutting down while renouncing
> > leadership
> > >> KAFKA-14887 ZK session timeout can cause broker to shutdown
> > >> - client
> > >> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
> > >> in one rebalance cycle
> > >> - connect
> > >> KAFKA-12558 MM2 may not sync partition offsets correctly
> > >> KAFKA-14666 MM2 should translate consumer group offsets behind
> > replication
> > >> flow
> > >> - stream
> > >> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
> > >> EOS
> > >>
> > >> All of the changes in this release can be found in the release notes:
> > >>
> > >> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> > >>
> > >> You can download the source and binary release (Scala 2.12 and Scala
> > 2.13)
> > >> from:
> > >>
> > >> https://kafka.apache.org/downloads#3.4.1
> > >>
> > >>
> > >>
> > ---------------------------------------------------------------------------------------------------
> > >>
> > >> 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 32 contributors to this release!
> > >>
> > >> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> > >> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> > >> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
> > >> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
> > >> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> > >> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
> > >> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
> > >> Mayya
> > >>
> > >> 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,
> > >> Luke
> > >>
> >
> >
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Kamal Chandraprakash <ka...@gmail.com>.
Thanks Luke for running this release!
On Wed, Jun 7, 2023 at 8:08 AM Chia-Ping Tsai <ch...@gmail.com> wrote:
> Thank Luke for this hard work!!!
>
> > Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
> >
> > Thanks for running this release, Luke!
> >
> > On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> >
> >> The Apache Kafka community is pleased to announce the release for
> >> Apache Kafka 3.4.1.
> >>
> >> This is a bug fix release and it includes fixes and improvements from
> >> 58 JIRAs, including a few critical bugs:
> >> - core
> >> KAFKA-14644 Process should stop after failure in raft IO thread
> >> KAFKA-14946 KRaft controller node shutting down while renouncing
> leadership
> >> KAFKA-14887 ZK session timeout can cause broker to shutdown
> >> - client
> >> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
> >> in one rebalance cycle
> >> - connect
> >> KAFKA-12558 MM2 may not sync partition offsets correctly
> >> KAFKA-14666 MM2 should translate consumer group offsets behind
> replication
> >> flow
> >> - stream
> >> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
> >> EOS
> >>
> >> All of the changes in this release can be found in the release notes:
> >>
> >> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
> >>
> >> You can download the source and binary release (Scala 2.12 and Scala
> 2.13)
> >> from:
> >>
> >> https://kafka.apache.org/downloads#3.4.1
> >>
> >>
> >>
> ---------------------------------------------------------------------------------------------------
> >>
> >> 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 32 contributors to this release!
> >>
> >> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> >> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> >> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
> >> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
> >> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> >> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
> >> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
> >> Mayya
> >>
> >> 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,
> >> Luke
> >>
>
>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Chia-Ping Tsai <ch...@gmail.com>.
Thank Luke for this hard work!!!
> Chris Egerton <fe...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
>
> Thanks for running this release, Luke!
>
> On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
>
>> The Apache Kafka community is pleased to announce the release for
>> Apache Kafka 3.4.1.
>>
>> This is a bug fix release and it includes fixes and improvements from
>> 58 JIRAs, including a few critical bugs:
>> - core
>> KAFKA-14644 Process should stop after failure in raft IO thread
>> KAFKA-14946 KRaft controller node shutting down while renouncing leadership
>> KAFKA-14887 ZK session timeout can cause broker to shutdown
>> - client
>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
>> in one rebalance cycle
>> - connect
>> KAFKA-12558 MM2 may not sync partition offsets correctly
>> KAFKA-14666 MM2 should translate consumer group offsets behind replication
>> flow
>> - stream
>> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
>> EOS
>>
>> All of the changes in this release can be found in the release notes:
>>
>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
>>
>> You can download the source and binary release (Scala 2.12 and Scala 2.13)
>> from:
>>
>> https://kafka.apache.org/downloads#3.4.1
>>
>>
>> ---------------------------------------------------------------------------------------------------
>>
>> 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 32 contributors to this release!
>>
>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
>> Mayya
>>
>> 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,
>> Luke
>>
Re: [ANNOUNCE] Apache Kafka 3.4.1
Posted by Chris Egerton <fe...@gmail.com>.
Thanks for running this release, Luke!
On Tue, Jun 6, 2023, 22:31 Luke Chen <sh...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 3.4.1.
>
> This is a bug fix release and it includes fixes and improvements from
> 58 JIRAs, including a few critical bugs:
> - core
> KAFKA-14644 Process should stop after failure in raft IO thread
> KAFKA-14946 KRaft controller node shutting down while renouncing leadership
> KAFKA-14887 ZK session timeout can cause broker to shutdown
> - client
> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
> in one rebalance cycle
> - connect
> KAFKA-12558 MM2 may not sync partition offsets correctly
> KAFKA-14666 MM2 should translate consumer group offsets behind replication
> flow
> - stream
> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
> EOS
>
> All of the changes in this release can be found in the release notes:
>
> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
>
> You can download the source and binary release (Scala 2.12 and Scala 2.13)
> from:
>
> https://kafka.apache.org/downloads#3.4.1
>
>
> ---------------------------------------------------------------------------------------------------
>
> 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 32 contributors to this release!
>
> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
> Mayya
>
> 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,
> Luke
>