You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@kafka.apache.org by Colin McCabe <cm...@apache.org> on 2019/06/25 16:35:08 UTC
[ANNOUNCE] Apache Kafka 2.3.0
The Apache Kafka community is pleased to announce the release for Apache Kafka 2.3.0.
This release includes several new features, including:
- There have been several improvements to the Kafka Connect REST API.
- Kafka Connect now supports incremental cooperative rebalancing.
- Kafka Streams now supports an in-memory session store and window store.
- The AdminClient now allows users to determine what operations they are authorized to perform on topics.
- There is a new broker start time metric.
- JMXTool can now connect to secured RMI ports.
- An incremental AlterConfigs API has been added. The old AlterConfigs API has been deprecated.
- We now track partitions which are under their min ISR count.
- Consumers can now opt-out of automatic topic creation, even when it is enabled on the broker.
- Kafka components can now use external configuration stores (KIP-421)
- We have implemented improved replica fetcher behavior when errors are encountered
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.11 and 2.12) from:
https://kafka.apache.org/downloads#2.3.0
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
You can download the source and binary release (Scala 2.11 and 2.12) from:
https://kafka.apache.org/downloads#2.3.0
---------------------------------------------------------------------------------------------------
Apache Kafka is a distributed streaming platform with four core APIs:
** The Producer API allows an application to publish a stream records to one or more Kafka topics.
** The Consumer API allows an application to subscribe to one or more topics and process the stream of records produced to them.
** The Streams API allows an application to act as a stream processor, consuming an input stream from one or more topics and producing an output stream to one or more output topics, effectively transforming the input streams to output streams.
** The Connector API allows building and running reusable producers or consumers that connect Kafka topics to existing applications or data systems. For example, a connector to a relational database might capture every change to a table.
With these APIs, Kafka can be used for two broad classes of application:
** Building real-time streaming data pipelines that reliably get data between systems or applications.
** Building real-time streaming applications that transform or react to the streams of data.
Apache Kafka is in use at large and small companies worldwide, including Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and Zalando, among others.
A big thank you for the following 101 contributors to this release!
Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar, Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
We welcome your help and feedback. For more information on how to report problems, and to get involved, visit the project website at https://kafka.apache.org/
Thank you!
Regards,
Colin
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Mickael Maison <mi...@gmail.com>.
Thanks Colin for managing this release
On Tue, Jun 25, 2019 at 7:35 PM Vahid Hashemian
<va...@gmail.com> wrote:
>
> Thanks Colin for managing the release!
>
> --Vahid
>
> On Tue, Jun 25, 2019 at 10:15 AM Guozhang Wang <wa...@gmail.com> wrote:
>
> > Thanks for driving the release Colin!
> >
> >
> > Guozhang
> >
> > On Tue, Jun 25, 2019 at 9:39 AM Colin McCabe <cm...@apache.org> wrote:
> >
> > > The Apache Kafka community is pleased to announce the release for Apache
> > > Kafka 2.3.0.
> > > This release includes several new features, including:
> > >
> > > - There have been several improvements to the Kafka Connect REST API.
> > > - Kafka Connect now supports incremental cooperative rebalancing.
> > > - Kafka Streams now supports an in-memory session store and window store.
> > > - The AdminClient now allows users to determine what operations they are
> > > authorized to perform on topics.
> > > - There is a new broker start time metric.
> > > - JMXTool can now connect to secured RMI ports.
> > > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > > API has been deprecated.
> > > - We now track partitions which are under their min ISR count.
> > > - Consumers can now opt-out of automatic topic creation, even when it is
> > > enabled on the broker.
> > > - Kafka components can now use external configuration stores (KIP-421)
> > > - We have implemented improved replica fetcher behavior when errors are
> > > encountered
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12)
> > from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12)
> > from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > >
> > >
> > ---------------------------------------------------------------------------------------------------
> > >
> > > Apache Kafka is a distributed streaming platform with four core APIs:
> > >
> > > ** The Producer API allows an application to publish a stream records to
> > > one or more Kafka topics.
> > >
> > > ** The Consumer API allows an application to subscribe to one or more
> > > topics and process the stream of records produced to them.
> > >
> > > ** The Streams API allows an application to act as a stream processor,
> > > consuming an input stream from one or more topics and producing an output
> > > stream to one or more output topics, effectively transforming the input
> > > streams to output streams.
> > >
> > > ** The Connector API allows building and running reusable producers or
> > > consumers that connect Kafka topics to existing applications or data
> > > systems. For example, a connector to a relational database might capture
> > > every change to a table.
> > >
> > >
> > > With these APIs, Kafka can be used for two broad classes of application:
> > > ** Building real-time streaming data pipelines that reliably get data
> > > between systems or applications.
> > > ** Building real-time streaming applications that transform or react to
> > > the streams of data.
> > >
> > > Apache Kafka is in use at large and small companies worldwide, including
> > > Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank,
> > > Target, The New York Times, Uber, Yelp, and Zalando, among others.
> > >
> > > A big thank you for the following 101 contributors to this release!
> > >
> > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden,
> > > Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick
> > > McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur,
> > > Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen
> > Cheslack-Postava,
> > > Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers,
> > Guozhang
> > > Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma,
> > Ivan
> > > Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando
> > García
> > > Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy,
> > > Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu,
> > Lee
> > > Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben
> > > Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > Davidson,
> > > pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch,
> > Rohan,
> > > Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds,
> > > Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman
> > BN,
> > > tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor
> > Somogyi,
> > > Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko,
> > > Zhanxiang (Patrick) Huang
> > >
> > > We welcome your help and feedback. For more information on how to report
> > > problems, and to get involved, visit the project website at
> > > https://kafka.apache.org/
> > >
> > > Thank you!
> > >
> > > Regards,
> > > Colin
> > >
> >
> >
> > --
> > -- Guozhang
> >
>
>
> --
>
> Thanks!
> --Vahid
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Vahid Hashemian <va...@gmail.com>.
Thanks Colin for managing the release!
--Vahid
On Tue, Jun 25, 2019 at 10:15 AM Guozhang Wang <wa...@gmail.com> wrote:
> Thanks for driving the release Colin!
>
>
> Guozhang
>
> On Tue, Jun 25, 2019 at 9:39 AM Colin McCabe <cm...@apache.org> wrote:
>
> > The Apache Kafka community is pleased to announce the release for Apache
> > Kafka 2.3.0.
> > This release includes several new features, including:
> >
> > - There have been several improvements to the Kafka Connect REST API.
> > - Kafka Connect now supports incremental cooperative rebalancing.
> > - Kafka Streams now supports an in-memory session store and window store.
> > - The AdminClient now allows users to determine what operations they are
> > authorized to perform on topics.
> > - There is a new broker start time metric.
> > - JMXTool can now connect to secured RMI ports.
> > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > API has been deprecated.
> > - We now track partitions which are under their min ISR count.
> > - Consumers can now opt-out of automatic topic creation, even when it is
> > enabled on the broker.
> > - Kafka components can now use external configuration stores (KIP-421)
> > - We have implemented improved replica fetcher behavior when errors are
> > encountered
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.11 and 2.12)
> from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> > You can download the source and binary release (Scala 2.11 and 2.12)
> from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> >
> >
> ---------------------------------------------------------------------------------------------------
> >
> > Apache Kafka is a distributed streaming platform with four core APIs:
> >
> > ** The Producer API allows an application to publish a stream records to
> > one or more Kafka topics.
> >
> > ** The Consumer API allows an application to subscribe to one or more
> > topics and process the stream of records produced to them.
> >
> > ** The Streams API allows an application to act as a stream processor,
> > consuming an input stream from one or more topics and producing an output
> > stream to one or more output topics, effectively transforming the input
> > streams to output streams.
> >
> > ** The Connector API allows building and running reusable producers or
> > consumers that connect Kafka topics to existing applications or data
> > systems. For example, a connector to a relational database might capture
> > every change to a table.
> >
> >
> > With these APIs, Kafka can be used for two broad classes of application:
> > ** Building real-time streaming data pipelines that reliably get data
> > between systems or applications.
> > ** Building real-time streaming applications that transform or react to
> > the streams of data.
> >
> > Apache Kafka is in use at large and small companies worldwide, including
> > Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank,
> > Target, The New York Times, Uber, Yelp, and Zalando, among others.
> >
> > A big thank you for the following 101 contributors to this release!
> >
> > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden,
> > Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick
> > McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur,
> > Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen
> Cheslack-Postava,
> > Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers,
> Guozhang
> > Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma,
> Ivan
> > Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando
> García
> > Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy,
> > Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu,
> Lee
> > Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben
> > Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> Davidson,
> > pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch,
> Rohan,
> > Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds,
> > Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman
> BN,
> > tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor
> Somogyi,
> > Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko,
> > Zhanxiang (Patrick) Huang
> >
> > We welcome your help and feedback. For more information on how to report
> > problems, and to get involved, visit the project website at
> > https://kafka.apache.org/
> >
> > Thank you!
> >
> > Regards,
> > Colin
> >
>
>
> --
> -- Guozhang
>
--
Thanks!
--Vahid
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Guozhang Wang <wa...@gmail.com>.
Thanks for driving the release Colin!
Guozhang
On Tue, Jun 25, 2019 at 9:39 AM Colin McCabe <cm...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.3.0.
> This release includes several new features, including:
>
> - There have been several improvements to the Kafka Connect REST API.
> - Kafka Connect now supports incremental cooperative rebalancing.
> - Kafka Streams now supports an in-memory session store and window store.
> - The AdminClient now allows users to determine what operations they are
> authorized to perform on topics.
> - There is a new broker start time metric.
> - JMXTool can now connect to secured RMI ports.
> - An incremental AlterConfigs API has been added. The old AlterConfigs
> API has been deprecated.
> - We now track partitions which are under their min ISR count.
> - Consumers can now opt-out of automatic topic creation, even when it is
> enabled on the broker.
> - Kafka components can now use external configuration stores (KIP-421)
> - We have implemented improved replica fetcher behavior when errors are
> encountered
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
>
> ---------------------------------------------------------------------------------------------------
>
> Apache Kafka is a distributed streaming platform with four core APIs:
>
> ** The Producer API allows an application to publish a stream records to
> one or more Kafka topics.
>
> ** The Consumer API allows an application to subscribe to one or more
> topics and process the stream of records produced to them.
>
> ** The Streams API allows an application to act as a stream processor,
> consuming an input stream from one or more topics and producing an output
> stream to one or more output topics, effectively transforming the input
> streams to output streams.
>
> ** The Connector API allows building and running reusable producers or
> consumers that connect Kafka topics to existing applications or data
> systems. For example, a connector to a relational database might capture
> every change to a table.
>
>
> With these APIs, Kafka can be used for two broad classes of application:
> ** Building real-time streaming data pipelines that reliably get data
> between systems or applications.
> ** Building real-time streaming applications that transform or react to
> the streams of data.
>
> Apache Kafka is in use at large and small companies worldwide, including
> Capital One, Goldman Sachs, ING, LinkedIn, Netflix, Pinterest, Rabobank,
> Target, The New York Times, Uber, Yelp, and Zalando, among others.
>
> A big thank you for the following 101 contributors to this release!
>
> Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase Walden,
> Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks, Colin Patrick
> McCabe, commandini, cwildman, Cyrus Vafadari, Dan Norwood, David Arthur,
> Dejan Stojadinović, Dhruvil Shah, Doroszlai, Attila, Ewen Cheslack-Postava,
> Fangbin Sun, Filipe Agapito, Florian Hussonnois, Gardner Vickers, Guozhang
> Wang, Gwen Shapira, Hai-Dang Dam, highluck, huxi, huxihx, Ismael Juma, Ivan
> Yurchenko, Jarrod Urban, Jason Gustafson, John Roesler, José Armando García
> Sancio, Joyce Fee, Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy,
> Konstantine Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee
> Dongjin, Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael Gruben
> Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul Davidson,
> pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall Hauch, Rohan,
> Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep, sandmannn, sdreynolds,
> Sebastián Ortega, Shaobo Liu, Sönke Liebau, Stanislav Kozlovski, Suman BN,
> tadsul, Tcsalist, Ted Yu, Vahid Hashemian, Victoria Bialas, Viktor Somogyi,
> Viktor Somogyi-Vass, Vito Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko,
> Zhanxiang (Patrick) Huang
>
> We welcome your help and feedback. For more information on how to report
> problems, and to get involved, visit the project website at
> https://kafka.apache.org/
>
> Thank you!
>
> Regards,
> Colin
>
--
-- Guozhang
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by "Matthias J. Sax" <ma...@confluent.io>.
Thanks for pointing out!
Should be fixed now. Colin did a corresponding PR against kafka-site
repo. Feel free to do a PR directly for fixes like this.
-Matthias
On 7/31/19 2:53 AM, Mickael Maison wrote:
> Hi,
>
> It looks like the protocol page was not updated. It still only lists 2.2 APIs.
> http://kafka.apache.org/protocol
>
> Thanks
>
> On Tue, Jul 2, 2019 at 2:05 AM Colin McCabe <cm...@apache.org> wrote:
>>
>> Hi Mickael,
>>
>> Thanks for pointing this out. It should be fixed now.
>>
>> best,
>> Colin
>>
>> On Mon, Jul 1, 2019, at 09:14, Mickael Maison wrote:
>>> Colin,
>>>
>>> The javadocs links are broken:
>>> The requested URL /23/javadoc/index.html was not found on this server.
>>>
>>> It's the 3rd time in a row this happens (2.1 and 2.2 had the same
>>> issue at release). Last time, Guozhang confirmed this step is in the
>>> release process but maybe this needs to be highlighted
>>>
>>> On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
>>>>
>>>> Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
>>>>
>>>> Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
>>>>
>>>> Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
>>>>
>>>> cheers,
>>>> Colin
>>>>
>>>>
>>>> On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
>>>>> The Apache Kafka community is pleased to announce the release for
>>>>> Apache Kafka 2.3.0.
>>>>> This release includes several new features, including:
>>>>>
>>>>> - There have been several improvements to the Kafka Connect REST API.
>>>>> - Kafka Connect now supports incremental cooperative rebalancing.
>>>>> - Kafka Streams now supports an in-memory session store and window
>>>>> store.
>>>>> - The AdminClient now allows users to determine what operations they
>>>>> are authorized to perform on topics.
>>>>> - There is a new broker start time metric.
>>>>> - JMXTool can now connect to secured RMI ports.
>>>>> - An incremental AlterConfigs API has been added. The old AlterConfigs
>>>>> API has been deprecated.
>>>>> - We now track partitions which are under their min ISR count.
>>>>> - Consumers can now opt-out of automatic topic creation, even when it
>>>>> is enabled on the broker.
>>>>> - Kafka components can now use external configuration stores (KIP-421)
>>>>> - We have implemented improved replica fetcher behavior when errors are
>>>>> encountered
>>>>>
>>>>> All of the changes in this release can be found in the release notes:
>>>>> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>>>>>
>>>>>
>>>>> You can download the source and binary release (Scala 2.11 and 2.12) from:
>>>>> https://kafka.apache.org/downloads#2.3.0
>>>>>
>>>>> All of the changes in this release can be found in the release notes:
>>>>> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>>>>>
>>>>> You can download the source and binary release (Scala 2.11 and 2.12) from:
>>>>> https://kafka.apache.org/downloads#2.3.0
>>>>>
>>>>> ---------------------------------------------------------------------------------------------------
>>>>>
>>>>> Apache Kafka is a distributed streaming platform with four core APIs:
>>>>>
>>>>> ** The Producer API allows an application to publish a stream records
>>>>> to one or more Kafka topics.
>>>>>
>>>>> ** The Consumer API allows an application to subscribe to one or more
>>>>> topics and process the stream of records produced to them.
>>>>>
>>>>> ** The Streams API allows an application to act as a stream processor,
>>>>> consuming an input stream from one or more topics and producing an
>>>>> output stream to one or more output topics, effectively transforming
>>>>> the input streams to output streams.
>>>>>
>>>>> ** The Connector API allows building and running reusable producers or
>>>>> consumers that connect Kafka topics to existing applications or data
>>>>> systems. For example, a connector to a relational database might
>>>>> capture every change to a table.
>>>>>
>>>>>
>>>>> With these APIs, Kafka can be used for two broad classes of application:
>>>>> ** Building real-time streaming data pipelines that reliably get data
>>>>> between systems or applications.
>>>>> ** Building real-time streaming applications that transform or react to
>>>>> the streams of data.
>>>>>
>>>>> Apache Kafka is in use at large and small companies worldwide,
>>>>> including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
>>>>> Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
>>>>> Zalando, among others.
>>>>>
>>>>> A big thank you for the following 101 contributors to this release!
>>>>>
>>>>> Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
>>>>> Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
>>>>> Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
>>>>> Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
>>>>> Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
>>>>> Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
>>>>> Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
>>>>> Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
>>>>> highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
>>>>> Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
>>>>> Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
>>>>> Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
>>>>> Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
>>>>> Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
>>>>> Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
>>>>> Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
>>>>> Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
>>>>> sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
>>>>> Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
>>>>> Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
>>>>> Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
>>>>>
>>>>> We welcome your help and feedback. For more information on how to
>>>>> report problems, and to get involved, visit the project website at
>>>>> https://kafka.apache.org/
>>>>>
>>>>> Thank you!
>>>>>
>>>>> Regards,
>>>>> Colin
>>>>>
>>>
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Colin McCabe <cm...@apache.org>.
Thanks for the bug report, Mickael. As Matthias said, it should be fixed now. I also updated the CVEs page.
cheers,
Colin
On Wed, Jul 31, 2019, at 02:53, Mickael Maison wrote:
> Hi,
>
> It looks like the protocol page was not updated. It still only lists 2.2 APIs.
> http://kafka.apache.org/protocol
>
> Thanks
>
> On Tue, Jul 2, 2019 at 2:05 AM Colin McCabe <cm...@apache.org> wrote:
> >
> > Hi Mickael,
> >
> > Thanks for pointing this out. It should be fixed now.
> >
> > best,
> > Colin
> >
> > On Mon, Jul 1, 2019, at 09:14, Mickael Maison wrote:
> > > Colin,
> > >
> > > The javadocs links are broken:
> > > The requested URL /23/javadoc/index.html was not found on this server.
> > >
> > > It's the 3rd time in a row this happens (2.1 and 2.2 had the same
> > > issue at release). Last time, Guozhang confirmed this step is in the
> > > release process but maybe this needs to be highlighted
> > >
> > > On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
> > > >
> > > > Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
> > > >
> > > > Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
> > > >
> > > > Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
> > > >
> > > > cheers,
> > > > Colin
> > > >
> > > >
> > > > On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > > > > The Apache Kafka community is pleased to announce the release for
> > > > > Apache Kafka 2.3.0.
> > > > > This release includes several new features, including:
> > > > >
> > > > > - There have been several improvements to the Kafka Connect REST API.
> > > > > - Kafka Connect now supports incremental cooperative rebalancing.
> > > > > - Kafka Streams now supports an in-memory session store and window
> > > > > store.
> > > > > - The AdminClient now allows users to determine what operations they
> > > > > are authorized to perform on topics.
> > > > > - There is a new broker start time metric.
> > > > > - JMXTool can now connect to secured RMI ports.
> > > > > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > > > > API has been deprecated.
> > > > > - We now track partitions which are under their min ISR count.
> > > > > - Consumers can now opt-out of automatic topic creation, even when it
> > > > > is enabled on the broker.
> > > > > - Kafka components can now use external configuration stores (KIP-421)
> > > > > - We have implemented improved replica fetcher behavior when errors are
> > > > > encountered
> > > > >
> > > > > All of the changes in this release can be found in the release notes:
> > > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > > > >
> > > > >
> > > > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > > > https://kafka.apache.org/downloads#2.3.0
> > > > >
> > > > > All of the changes in this release can be found in the release notes:
> > > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > > > >
> > > > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > > > https://kafka.apache.org/downloads#2.3.0
> > > > >
> > > > > ---------------------------------------------------------------------------------------------------
> > > > >
> > > > > Apache Kafka is a distributed streaming platform with four core APIs:
> > > > >
> > > > > ** The Producer API allows an application to publish a stream records
> > > > > to one or more Kafka topics.
> > > > >
> > > > > ** The Consumer API allows an application to subscribe to one or more
> > > > > topics and process the stream of records produced to them.
> > > > >
> > > > > ** The Streams API allows an application to act as a stream processor,
> > > > > consuming an input stream from one or more topics and producing an
> > > > > output stream to one or more output topics, effectively transforming
> > > > > the input streams to output streams.
> > > > >
> > > > > ** The Connector API allows building and running reusable producers or
> > > > > consumers that connect Kafka topics to existing applications or data
> > > > > systems. For example, a connector to a relational database might
> > > > > capture every change to a table.
> > > > >
> > > > >
> > > > > With these APIs, Kafka can be used for two broad classes of application:
> > > > > ** Building real-time streaming data pipelines that reliably get data
> > > > > between systems or applications.
> > > > > ** Building real-time streaming applications that transform or react to
> > > > > the streams of data.
> > > > >
> > > > > Apache Kafka is in use at large and small companies worldwide,
> > > > > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> > > > > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> > > > > Zalando, among others.
> > > > >
> > > > > A big thank you for the following 101 contributors to this release!
> > > > >
> > > > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > > > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > > > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > > > > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > > > > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > > > > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > > > > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > > > > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > > > > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > > > > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > > > > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > > > > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > > > > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > > > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > > > > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > > > > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > > > > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > > > > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > > > > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > > > > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > > > > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> > > > >
> > > > > We welcome your help and feedback. For more information on how to
> > > > > report problems, and to get involved, visit the project website at
> > > > > https://kafka.apache.org/
> > > > >
> > > > > Thank you!
> > > > >
> > > > > Regards,
> > > > > Colin
> > > > >
> > >
>
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Mickael Maison <mi...@gmail.com>.
Hi,
It looks like the protocol page was not updated. It still only lists 2.2 APIs.
http://kafka.apache.org/protocol
Thanks
On Tue, Jul 2, 2019 at 2:05 AM Colin McCabe <cm...@apache.org> wrote:
>
> Hi Mickael,
>
> Thanks for pointing this out. It should be fixed now.
>
> best,
> Colin
>
> On Mon, Jul 1, 2019, at 09:14, Mickael Maison wrote:
> > Colin,
> >
> > The javadocs links are broken:
> > The requested URL /23/javadoc/index.html was not found on this server.
> >
> > It's the 3rd time in a row this happens (2.1 and 2.2 had the same
> > issue at release). Last time, Guozhang confirmed this step is in the
> > release process but maybe this needs to be highlighted
> >
> > On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
> > >
> > > Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
> > >
> > > Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
> > >
> > > Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
> > >
> > > cheers,
> > > Colin
> > >
> > >
> > > On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > > > The Apache Kafka community is pleased to announce the release for
> > > > Apache Kafka 2.3.0.
> > > > This release includes several new features, including:
> > > >
> > > > - There have been several improvements to the Kafka Connect REST API.
> > > > - Kafka Connect now supports incremental cooperative rebalancing.
> > > > - Kafka Streams now supports an in-memory session store and window
> > > > store.
> > > > - The AdminClient now allows users to determine what operations they
> > > > are authorized to perform on topics.
> > > > - There is a new broker start time metric.
> > > > - JMXTool can now connect to secured RMI ports.
> > > > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > > > API has been deprecated.
> > > > - We now track partitions which are under their min ISR count.
> > > > - Consumers can now opt-out of automatic topic creation, even when it
> > > > is enabled on the broker.
> > > > - Kafka components can now use external configuration stores (KIP-421)
> > > > - We have implemented improved replica fetcher behavior when errors are
> > > > encountered
> > > >
> > > > All of the changes in this release can be found in the release notes:
> > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > > >
> > > >
> > > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > > https://kafka.apache.org/downloads#2.3.0
> > > >
> > > > All of the changes in this release can be found in the release notes:
> > > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > > >
> > > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > > https://kafka.apache.org/downloads#2.3.0
> > > >
> > > > ---------------------------------------------------------------------------------------------------
> > > >
> > > > Apache Kafka is a distributed streaming platform with four core APIs:
> > > >
> > > > ** The Producer API allows an application to publish a stream records
> > > > to one or more Kafka topics.
> > > >
> > > > ** The Consumer API allows an application to subscribe to one or more
> > > > topics and process the stream of records produced to them.
> > > >
> > > > ** The Streams API allows an application to act as a stream processor,
> > > > consuming an input stream from one or more topics and producing an
> > > > output stream to one or more output topics, effectively transforming
> > > > the input streams to output streams.
> > > >
> > > > ** The Connector API allows building and running reusable producers or
> > > > consumers that connect Kafka topics to existing applications or data
> > > > systems. For example, a connector to a relational database might
> > > > capture every change to a table.
> > > >
> > > >
> > > > With these APIs, Kafka can be used for two broad classes of application:
> > > > ** Building real-time streaming data pipelines that reliably get data
> > > > between systems or applications.
> > > > ** Building real-time streaming applications that transform or react to
> > > > the streams of data.
> > > >
> > > > Apache Kafka is in use at large and small companies worldwide,
> > > > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> > > > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> > > > Zalando, among others.
> > > >
> > > > A big thank you for the following 101 contributors to this release!
> > > >
> > > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > > > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > > > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > > > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > > > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > > > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > > > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > > > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > > > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > > > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > > > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > > > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > > > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > > > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > > > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > > > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > > > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > > > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> > > >
> > > > We welcome your help and feedback. For more information on how to
> > > > report problems, and to get involved, visit the project website at
> > > > https://kafka.apache.org/
> > > >
> > > > Thank you!
> > > >
> > > > Regards,
> > > > Colin
> > > >
> >
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Colin McCabe <cm...@apache.org>.
Hi Mickael,
Thanks for pointing this out. It should be fixed now.
best,
Colin
On Mon, Jul 1, 2019, at 09:14, Mickael Maison wrote:
> Colin,
>
> The javadocs links are broken:
> The requested URL /23/javadoc/index.html was not found on this server.
>
> It's the 3rd time in a row this happens (2.1 and 2.2 had the same
> issue at release). Last time, Guozhang confirmed this step is in the
> release process but maybe this needs to be highlighted
>
> On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
> >
> > Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
> >
> > Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
> >
> > Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
> >
> > cheers,
> > Colin
> >
> >
> > On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > > The Apache Kafka community is pleased to announce the release for
> > > Apache Kafka 2.3.0.
> > > This release includes several new features, including:
> > >
> > > - There have been several improvements to the Kafka Connect REST API.
> > > - Kafka Connect now supports incremental cooperative rebalancing.
> > > - Kafka Streams now supports an in-memory session store and window
> > > store.
> > > - The AdminClient now allows users to determine what operations they
> > > are authorized to perform on topics.
> > > - There is a new broker start time metric.
> > > - JMXTool can now connect to secured RMI ports.
> > > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > > API has been deprecated.
> > > - We now track partitions which are under their min ISR count.
> > > - Consumers can now opt-out of automatic topic creation, even when it
> > > is enabled on the broker.
> > > - Kafka components can now use external configuration stores (KIP-421)
> > > - We have implemented improved replica fetcher behavior when errors are
> > > encountered
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> > >
> > > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > > https://kafka.apache.org/downloads#2.3.0
> > >
> > > ---------------------------------------------------------------------------------------------------
> > >
> > > Apache Kafka is a distributed streaming platform with four core APIs:
> > >
> > > ** The Producer API allows an application to publish a stream records
> > > to one or more Kafka topics.
> > >
> > > ** The Consumer API allows an application to subscribe to one or more
> > > topics and process the stream of records produced to them.
> > >
> > > ** The Streams API allows an application to act as a stream processor,
> > > consuming an input stream from one or more topics and producing an
> > > output stream to one or more output topics, effectively transforming
> > > the input streams to output streams.
> > >
> > > ** The Connector API allows building and running reusable producers or
> > > consumers that connect Kafka topics to existing applications or data
> > > systems. For example, a connector to a relational database might
> > > capture every change to a table.
> > >
> > >
> > > With these APIs, Kafka can be used for two broad classes of application:
> > > ** Building real-time streaming data pipelines that reliably get data
> > > between systems or applications.
> > > ** Building real-time streaming applications that transform or react to
> > > the streams of data.
> > >
> > > Apache Kafka is in use at large and small companies worldwide,
> > > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> > > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> > > Zalando, among others.
> > >
> > > A big thank you for the following 101 contributors to this release!
> > >
> > > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> > >
> > > We welcome your help and feedback. For more information on how to
> > > report problems, and to get involved, visit the project website at
> > > https://kafka.apache.org/
> > >
> > > Thank you!
> > >
> > > Regards,
> > > Colin
> > >
>
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Mickael Maison <mi...@gmail.com>.
Colin,
The javadocs links are broken:
The requested URL /23/javadoc/index.html was not found on this server.
It's the 3rd time in a row this happens (2.1 and 2.2 had the same
issue at release). Last time, Guozhang confirmed this step is in the
release process but maybe this needs to be highlighted
On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
>
> Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
>
> Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
>
> Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
>
> cheers,
> Colin
>
>
> On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > The Apache Kafka community is pleased to announce the release for
> > Apache Kafka 2.3.0.
> > This release includes several new features, including:
> >
> > - There have been several improvements to the Kafka Connect REST API.
> > - Kafka Connect now supports incremental cooperative rebalancing.
> > - Kafka Streams now supports an in-memory session store and window
> > store.
> > - The AdminClient now allows users to determine what operations they
> > are authorized to perform on topics.
> > - There is a new broker start time metric.
> > - JMXTool can now connect to secured RMI ports.
> > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > API has been deprecated.
> > - We now track partitions which are under their min ISR count.
> > - Consumers can now opt-out of automatic topic creation, even when it
> > is enabled on the broker.
> > - Kafka components can now use external configuration stores (KIP-421)
> > - We have implemented improved replica fetcher behavior when errors are
> > encountered
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> > ---------------------------------------------------------------------------------------------------
> >
> > Apache Kafka is a distributed streaming platform with four core APIs:
> >
> > ** The Producer API allows an application to publish a stream records
> > to one or more Kafka topics.
> >
> > ** The Consumer API allows an application to subscribe to one or more
> > topics and process the stream of records produced to them.
> >
> > ** The Streams API allows an application to act as a stream processor,
> > consuming an input stream from one or more topics and producing an
> > output stream to one or more output topics, effectively transforming
> > the input streams to output streams.
> >
> > ** The Connector API allows building and running reusable producers or
> > consumers that connect Kafka topics to existing applications or data
> > systems. For example, a connector to a relational database might
> > capture every change to a table.
> >
> >
> > With these APIs, Kafka can be used for two broad classes of application:
> > ** Building real-time streaming data pipelines that reliably get data
> > between systems or applications.
> > ** Building real-time streaming applications that transform or react to
> > the streams of data.
> >
> > Apache Kafka is in use at large and small companies worldwide,
> > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> > Zalando, among others.
> >
> > A big thank you for the following 101 contributors to this release!
> >
> > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> >
> > We welcome your help and feedback. For more information on how to
> > report problems, and to get involved, visit the project website at
> > https://kafka.apache.org/
> >
> > Thank you!
> >
> > Regards,
> > Colin
> >
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Mickael Maison <mi...@gmail.com>.
Colin,
The javadocs links are broken:
The requested URL /23/javadoc/index.html was not found on this server.
It's the 3rd time in a row this happens (2.1 and 2.2 had the same
issue at release). Last time, Guozhang confirmed this step is in the
release process but maybe this needs to be highlighted
On Tue, Jun 25, 2019 at 8:22 PM Colin McCabe <cm...@apache.org> wrote:
>
> Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
>
> Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
>
> Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
>
> cheers,
> Colin
>
>
> On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> > The Apache Kafka community is pleased to announce the release for
> > Apache Kafka 2.3.0.
> > This release includes several new features, including:
> >
> > - There have been several improvements to the Kafka Connect REST API.
> > - Kafka Connect now supports incremental cooperative rebalancing.
> > - Kafka Streams now supports an in-memory session store and window
> > store.
> > - The AdminClient now allows users to determine what operations they
> > are authorized to perform on topics.
> > - There is a new broker start time metric.
> > - JMXTool can now connect to secured RMI ports.
> > - An incremental AlterConfigs API has been added. The old AlterConfigs
> > API has been deprecated.
> > - We now track partitions which are under their min ISR count.
> > - Consumers can now opt-out of automatic topic creation, even when it
> > is enabled on the broker.
> > - Kafka components can now use external configuration stores (KIP-421)
> > - We have implemented improved replica fetcher behavior when errors are
> > encountered
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
> >
> > You can download the source and binary release (Scala 2.11 and 2.12) from:
> > https://kafka.apache.org/downloads#2.3.0
> >
> > ---------------------------------------------------------------------------------------------------
> >
> > Apache Kafka is a distributed streaming platform with four core APIs:
> >
> > ** The Producer API allows an application to publish a stream records
> > to one or more Kafka topics.
> >
> > ** The Consumer API allows an application to subscribe to one or more
> > topics and process the stream of records produced to them.
> >
> > ** The Streams API allows an application to act as a stream processor,
> > consuming an input stream from one or more topics and producing an
> > output stream to one or more output topics, effectively transforming
> > the input streams to output streams.
> >
> > ** The Connector API allows building and running reusable producers or
> > consumers that connect Kafka topics to existing applications or data
> > systems. For example, a connector to a relational database might
> > capture every change to a table.
> >
> >
> > With these APIs, Kafka can be used for two broad classes of application:
> > ** Building real-time streaming data pipelines that reliably get data
> > between systems or applications.
> > ** Building real-time streaming applications that transform or react to
> > the streams of data.
> >
> > Apache Kafka is in use at large and small companies worldwide,
> > including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> > Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> > Zalando, among others.
> >
> > A big thank you for the following 101 contributors to this release!
> >
> > Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> > Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> > Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> > Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> > Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> > Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> > Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> > Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> > highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> > Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> > Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> > Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> > Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> > Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> > Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> > Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> > Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> > sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> > Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> > Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> > Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
> >
> > We welcome your help and feedback. For more information on how to
> > report problems, and to get involved, visit the project website at
> > https://kafka.apache.org/
> >
> > Thank you!
> >
> > Regards,
> > Colin
> >
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Colin McCabe <cm...@apache.org>.
Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
cheers,
Colin
On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 2.3.0.
> This release includes several new features, including:
>
> - There have been several improvements to the Kafka Connect REST API.
> - Kafka Connect now supports incremental cooperative rebalancing.
> - Kafka Streams now supports an in-memory session store and window
> store.
> - The AdminClient now allows users to determine what operations they
> are authorized to perform on topics.
> - There is a new broker start time metric.
> - JMXTool can now connect to secured RMI ports.
> - An incremental AlterConfigs API has been added. The old AlterConfigs
> API has been deprecated.
> - We now track partitions which are under their min ISR count.
> - Consumers can now opt-out of automatic topic creation, even when it
> is enabled on the broker.
> - Kafka components can now use external configuration stores (KIP-421)
> - We have implemented improved replica fetcher behavior when errors are
> encountered
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
> ---------------------------------------------------------------------------------------------------
>
> Apache Kafka is a distributed streaming platform with four core APIs:
>
> ** The Producer API allows an application to publish a stream records
> to one or more Kafka topics.
>
> ** The Consumer API allows an application to subscribe to one or more
> topics and process the stream of records produced to them.
>
> ** The Streams API allows an application to act as a stream processor,
> consuming an input stream from one or more topics and producing an
> output stream to one or more output topics, effectively transforming
> the input streams to output streams.
>
> ** The Connector API allows building and running reusable producers or
> consumers that connect Kafka topics to existing applications or data
> systems. For example, a connector to a relational database might
> capture every change to a table.
>
>
> With these APIs, Kafka can be used for two broad classes of application:
> ** Building real-time streaming data pipelines that reliably get data
> between systems or applications.
> ** Building real-time streaming applications that transform or react to
> the streams of data.
>
> Apache Kafka is in use at large and small companies worldwide,
> including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> Zalando, among others.
>
> A big thank you for the following 101 contributors to this release!
>
> Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
>
> We welcome your help and feedback. For more information on how to
> report problems, and to get involved, visit the project website at
> https://kafka.apache.org/
>
> Thank you!
>
> Regards,
> Colin
>
Re: [ANNOUNCE] Apache Kafka 2.3.0
Posted by Colin McCabe <cm...@apache.org>.
Thanks to everyone who reviewed the Apache blog post about 2.3. It's live now at https://blogs.apache.org/kafka/date/20190624
Plus, Tim Berglund made a video about what's new in this release. https://www.youtube.com/watch?v=sNqwJT2WguQ
Finally, check out Stéphane Maarek's video about 2.3 here: https://www.youtube.com/watch?v=YutjYKSGd64
cheers,
Colin
On Tue, Jun 25, 2019, at 09:40, Colin McCabe wrote:
> The Apache Kafka community is pleased to announce the release for
> Apache Kafka 2.3.0.
> This release includes several new features, including:
>
> - There have been several improvements to the Kafka Connect REST API.
> - Kafka Connect now supports incremental cooperative rebalancing.
> - Kafka Streams now supports an in-memory session store and window
> store.
> - The AdminClient now allows users to determine what operations they
> are authorized to perform on topics.
> - There is a new broker start time metric.
> - JMXTool can now connect to secured RMI ports.
> - An incremental AlterConfigs API has been added. The old AlterConfigs
> API has been deprecated.
> - We now track partitions which are under their min ISR count.
> - Consumers can now opt-out of automatic topic creation, even when it
> is enabled on the broker.
> - Kafka components can now use external configuration stores (KIP-421)
> - We have implemented improved replica fetcher behavior when errors are
> encountered
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.3.0/RELEASE_NOTES.html
>
> You can download the source and binary release (Scala 2.11 and 2.12) from:
> https://kafka.apache.org/downloads#2.3.0
>
> ---------------------------------------------------------------------------------------------------
>
> Apache Kafka is a distributed streaming platform with four core APIs:
>
> ** The Producer API allows an application to publish a stream records
> to one or more Kafka topics.
>
> ** The Consumer API allows an application to subscribe to one or more
> topics and process the stream of records produced to them.
>
> ** The Streams API allows an application to act as a stream processor,
> consuming an input stream from one or more topics and producing an
> output stream to one or more output topics, effectively transforming
> the input streams to output streams.
>
> ** The Connector API allows building and running reusable producers or
> consumers that connect Kafka topics to existing applications or data
> systems. For example, a connector to a relational database might
> capture every change to a table.
>
>
> With these APIs, Kafka can be used for two broad classes of application:
> ** Building real-time streaming data pipelines that reliably get data
> between systems or applications.
> ** Building real-time streaming applications that transform or react to
> the streams of data.
>
> Apache Kafka is in use at large and small companies worldwide,
> including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
> Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
> Zalando, among others.
>
> A big thank you for the following 101 contributors to this release!
>
> Aishwarya Gune, Alex Diachenko, Alex Dunayevsky, Anna Povzner, Arabelle
> Hou, Arjun Satish, A. Sophie Blee-Goldman, asutosh936, Bill Bejeck, Bob
> Barrett, Boyang Chen, Brian Bushree, cadonna, Casey Green, Chase
> Walden, Chia-Ping Tsai, Chris Egerton, Chris Steingen, Colin Hicks,
> Colin Patrick McCabe, commandini, cwildman, Cyrus Vafadari, Dan
> Norwood, David Arthur, Dejan Stojadinović, Dhruvil Shah, Doroszlai,
> Attila, Ewen Cheslack-Postava, Fangbin Sun, Filipe Agapito, Florian
> Hussonnois, Gardner Vickers, Guozhang Wang, Gwen Shapira, Hai-Dang Dam,
> highluck, huxi, huxihx, Ismael Juma, Ivan Yurchenko, Jarrod Urban,
> Jason Gustafson, John Roesler, José Armando García Sancio, Joyce Fee,
> Jun Rao, KartikVK, Kengo Seki, Kevin Lu, khairy, Konstantine
> Karantasis, Kristian Aurlien, Kyle Ambroff-Kao, lambdaliu, Lee Dongjin,
> Lifei Chen, Lucas Bradstreet, Lysss, lzh3636, Magesh Nandakumar,
> Manikumar Reddy, Mark Cho, Massimo Siani, Matthias J. Sax, Michael
> Gruben Trejo, Mickael Maison, Murad, Nicholas Parker, opera443399, Paul
> Davidson, pierDipi, pkleindl, Radai Rosenblatt, Rajini Sivaram, Randall
> Hauch, Rohan, Rohan Desai, Ron Dagostino, Ryan Chen, saisandeep,
> sandmannn, sdreynolds, Sebastián Ortega, Shaobo Liu, Sönke Liebau,
> Stanislav Kozlovski, Suman BN, tadsul, Tcsalist, Ted Yu, Vahid
> Hashemian, Victoria Bialas, Viktor Somogyi, Viktor Somogyi-Vass, Vito
> Jeng, wenhoujx, Xiongqi Wu, Yaroslav Klymko, Zhanxiang (Patrick) Huang
>
> We welcome your help and feedback. For more information on how to
> report problems, and to get involved, visit the project website at
> https://kafka.apache.org/
>
> Thank you!
>
> Regards,
> Colin
>