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Posted to dev@kafka.apache.org by Dong Lin <li...@apache.org> on 2018/07/19 23:53:54 UTC
[ANNOUNCE] Apache Kafka 1.1.1 Released
The Apache Kafka community is pleased to announce the release for Apache
Kafka 1.1.1.
This is a bug fix release and it includes fixes and improvements from 43
JIRAs, including a few critical bugs.
All of the changes in this release can be found in the release notes:
https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html
You can download the source release from:
*https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
<https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz>*
and binary releases from:
*https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
<https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz>*
(Scala 2.11)
*https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
<https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz>*
(Scala 2.12)
------------------------------------------------------------
---------------------------------------
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.three key capabilities:
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 29 contributors to this release!
Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner,
tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao,
Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp,
huxi, maytals, ro7m, yaphet
We welcome your help and feedback. For more information on how to report
problems,and to get involved, visit the project website at
http://kafka.apache.org/
Thank you!
Regards,
Dong
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Dong Lin <li...@apache.org>.
On Thu, Jul 19, 2018 at 4:53 PM, Dong Lin <li...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 1.1.1.
>
> This is a bug fix release and it includes fixes and improvements from 43
> JIRAs, including a few critical bugs.
>
> All of the changes in this release can be found in the release notes:
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html
>
> You can download the source release from:
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz>*
>
> and binary releases from:
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz>*
> (Scala 2.11)
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz>*
> (Scala 2.12)
>
>
> ------------------------------------------------------------
> ---------------------------------------
>
>
> 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.three key capabilities:
>
>
> 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 29 contributors to this release!
>
> Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner,
> tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
> Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
> Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao,
> Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp,
> huxi, maytals, ro7m, yaphet
>
> We welcome your help and feedback. For more information on how to report
> problems,and to get involved, visit the project website at
> http://kafka.apache.org/
>
> Thank you!
>
>
> Regards,
> Dong
>
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Dongjin Lee <do...@apache.org>.
Thank you for great work! :)
On Fri, Jul 20, 2018 at 11:25 AM Guozhang Wang <wa...@gmail.com> wrote:
> Dong, thanks for driving the release!
>
> On Thu, Jul 19, 2018 at 6:51 PM, Ismael Juma <is...@gmail.com> wrote:
>
> > Thank you for managing the release Dong!
> >
> > Ismael
> >
> > On Thu, 19 Jul 2018, 16:54 Dong Lin, <li...@apache.org> wrote:
> >
> > > The Apache Kafka community is pleased to announce the release for
> Apache
> > > Kafka 1.1.1.
> > >
> > > This is a bug fix release and it includes fixes and improvements from
> 43
> > > JIRAs, including a few critical bugs.
> > >
> > > All of the changes in this release can be found in the release notes:
> > >
> > > https://dist.apache.org/repos/dist/release/kafka/1.1.1/
> > RELEASE_NOTES.html
> > >
> > > You can download the source release from:
> > >
> > > *
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka-1.1.1-src.tgz
> > > <
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka-1.1.1-src.tgz
> > > >*
> > >
> > > and binary releases from:
> > >
> > > *
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka_2.11-1.1.1.tgz
> > > <
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka_2.11-1.1.1.tgz
> > > >*
> > > (Scala 2.11)
> > >
> > > *
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka_2.12-1.1.1.tgz
> > > <
> > > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> > kafka_2.12-1.1.1.tgz
> > > >*
> > > (Scala 2.12)
> > >
> > >
> > > ------------------------------------------------------------
> > > ---------------------------------------
> > >
> > >
> > > 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.three key capabilities:
> > >
> > >
> > > 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 29 contributors to this release!
> > >
> > > Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna
> > Povzner,
> > > tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall
> Hauch,
> > > Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah,
> Fedor
> > > Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun
> > Rao,
> > > Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti,
> > fredfp,
> > > huxi, maytals, ro7m, yaphet
> > >
> > > We welcome your help and feedback. For more information on how to
> report
> > > problems,and to get involved, visit the project website at
> > > http://kafka.apache.org/
> > >
> > > Thank you!
> > >
> > >
> > > Regards,
> > > Dong
> > >
> >
>
>
>
> --
> -- Guozhang
>
> --
> *Dongjin Lee*
>
> *A hitchhiker in the mathematical world.*
>
> *github: <http://goog_969573159/>github.com/dongjinleekr
> <http://github.com/dongjinleekr>linkedin: kr.linkedin.com/in/dongjinleekr
> <http://kr.linkedin.com/in/dongjinleekr>slideshare: www.slideshare.net/dongjinleekr
> <http://www.slideshare.net/dongjinleekr>*
>
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Guozhang Wang <wa...@gmail.com>.
Dong, thanks for driving the release!
On Thu, Jul 19, 2018 at 6:51 PM, Ismael Juma <is...@gmail.com> wrote:
> Thank you for managing the release Dong!
>
> Ismael
>
> On Thu, 19 Jul 2018, 16:54 Dong Lin, <li...@apache.org> wrote:
>
> > The Apache Kafka community is pleased to announce the release for Apache
> > Kafka 1.1.1.
> >
> > This is a bug fix release and it includes fixes and improvements from 43
> > JIRAs, including a few critical bugs.
> >
> > All of the changes in this release can be found in the release notes:
> >
> > https://dist.apache.org/repos/dist/release/kafka/1.1.1/
> RELEASE_NOTES.html
> >
> > You can download the source release from:
> >
> > *
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka-1.1.1-src.tgz
> > <
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka-1.1.1-src.tgz
> > >*
> >
> > and binary releases from:
> >
> > *
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka_2.11-1.1.1.tgz
> > <
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka_2.11-1.1.1.tgz
> > >*
> > (Scala 2.11)
> >
> > *
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka_2.12-1.1.1.tgz
> > <
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/
> kafka_2.12-1.1.1.tgz
> > >*
> > (Scala 2.12)
> >
> >
> > ------------------------------------------------------------
> > ---------------------------------------
> >
> >
> > 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.three key capabilities:
> >
> >
> > 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 29 contributors to this release!
> >
> > Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna
> Povzner,
> > tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
> > Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
> > Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun
> Rao,
> > Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti,
> fredfp,
> > huxi, maytals, ro7m, yaphet
> >
> > We welcome your help and feedback. For more information on how to report
> > problems,and to get involved, visit the project website at
> > http://kafka.apache.org/
> >
> > Thank you!
> >
> >
> > Regards,
> > Dong
> >
>
--
-- Guozhang
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Ismael Juma <is...@gmail.com>.
Thank you for managing the release Dong!
Ismael
On Thu, 19 Jul 2018, 16:54 Dong Lin, <li...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 1.1.1.
>
> This is a bug fix release and it includes fixes and improvements from 43
> JIRAs, including a few critical bugs.
>
> All of the changes in this release can be found in the release notes:
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html
>
> You can download the source release from:
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> >*
>
> and binary releases from:
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> >*
> (Scala 2.11)
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> >*
> (Scala 2.12)
>
>
> ------------------------------------------------------------
> ---------------------------------------
>
>
> 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.three key capabilities:
>
>
> 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 29 contributors to this release!
>
> Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner,
> tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
> Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
> Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao,
> Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp,
> huxi, maytals, ro7m, yaphet
>
> We welcome your help and feedback. For more information on how to report
> problems,and to get involved, visit the project website at
> http://kafka.apache.org/
>
> Thank you!
>
>
> Regards,
> Dong
>
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Dong Lin <li...@apache.org>.
On Thu, Jul 19, 2018 at 4:53 PM, Dong Lin <li...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 1.1.1.
>
> This is a bug fix release and it includes fixes and improvements from 43
> JIRAs, including a few critical bugs.
>
> All of the changes in this release can be found in the release notes:
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html
>
> You can download the source release from:
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz>*
>
> and binary releases from:
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz>*
> (Scala 2.11)
>
> *https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> <https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz>*
> (Scala 2.12)
>
>
> ------------------------------------------------------------
> ---------------------------------------
>
>
> 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.three key capabilities:
>
>
> 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 29 contributors to this release!
>
> Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner,
> tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
> Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
> Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao,
> Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp,
> huxi, maytals, ro7m, yaphet
>
> We welcome your help and feedback. For more information on how to report
> problems,and to get involved, visit the project website at
> http://kafka.apache.org/
>
> Thank you!
>
>
> Regards,
> Dong
>
Re: [ANNOUNCE] Apache Kafka 1.1.1 Released
Posted by Ismael Juma <is...@gmail.com>.
Thank you for managing the release Dong!
Ismael
On Thu, 19 Jul 2018, 16:54 Dong Lin, <li...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 1.1.1.
>
> This is a bug fix release and it includes fixes and improvements from 43
> JIRAs, including a few critical bugs.
>
> All of the changes in this release can be found in the release notes:
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.1/RELEASE_NOTES.html
>
> You can download the source release from:
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka-1.1.1-src.tgz
> >*
>
> and binary releases from:
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.11-1.1.1.tgz
> >*
> (Scala 2.11)
>
> *
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> <
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.1/kafka_2.12-1.1.1.tgz
> >*
> (Scala 2.12)
>
>
> ------------------------------------------------------------
> ---------------------------------------
>
>
> 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.three key capabilities:
>
>
> 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 29 contributors to this release!
>
> Ismael Juma, Rajini Sivaram, Matthias J. Sax, Guozhang Wang, Anna Povzner,
> tedyu, Jagadesh Adireddi, John Roesler, Manikumar Reddy O, Randall Hauch,
> Attila Sasvari, Chia-Ping Tsai, Colin Patrick McCabe, Dhruvil Shah, Fedor
> Bobin, Gitomain, Gunnar Morling, Jarek Rudzinski, Jason Gustafson, Jun Rao,
> Mickael Maison, Robert Yokota, Vahid Hashemian, Valentino Proietti, fredfp,
> huxi, maytals, ro7m, yaphet
>
> We welcome your help and feedback. For more information on how to report
> problems,and to get involved, visit the project website at
> http://kafka.apache.org/
>
> Thank you!
>
>
> Regards,
> Dong
>