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Posted to users@kafka.apache.org by Guozhang Wang <wa...@gmail.com> on 2019/06/25 17:14:27 UTC
Re: [ANNOUNCE] Apache Kafka 2.3.0
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 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