Re: [ANNOUNCE] Apache Kafka 2.1.0

[Dong Lin]

Thanks everyone for the contribution and for verifying the release! I am
really happy to make contribution to Kafka community as well.

Hey Craig,

Thanks much for double checking the URL. You are right and
https://www.apache.org/dev/release-signing.html#keys-policy also suggests
to use https://www.apache.org/dist/kafka/KEYS for key link. It is updated
now.

Hey Mickael,

Thanks much for catching this. I misunderstood one step in the release
process. The issue is fixed now. I also lightly tuned the release process
wiki.

Have a great Thanksgiving holiday everyone!

Cheers,
Dong

On Thu, Nov 22, 2018 at 6:15 AM Craig Russell  wrote:

> Hi Kafka,
>
> Just a note that your download page has a link to the KEYS file at
> https://kafka.apache.org/KEYS
>
> The KEYS link should be https://www.apache.org/dist/kafka/KEYS for future
> announcements.
>
> Regards,
>
> Craig
>
> > On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> >
> > The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
> >
> >
> > This is a major release and includes significant features from 28 KIPs.
> It contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
> >
> > ** Java 11 support
> > ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> > ** Avoid expiring committed offsets for active consumer group (KIP-211)
> > ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> > ** Kafka's replication protocol now supports improved fencing of
> zombies. Previously, under certain rare conditions, if a broker became
> partitioned from Zookeeper but not the rest of the cluster, then the logs
> of replicated partitions could diverge and cause data loss in the worst
> case (KIP-320)
> > ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> > ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> > ** DNS handling improvements (KIP-235, KIP-302)
> >
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html <
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html>
> >
> >
> > You can download the source and binary release (Scala ) from:
> > https://kafka.apache.org/downloads#2.1.0 <
> https://kafka.apache.org/downloads#2.1.0>
> >
> >
> ---
> >
> >
> > 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 100 contributors to this release!
> >
> > Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Mickael Maison]

Dong,

Links to the Javadocs in the documentation
(http://kafka.apache.org/documentation/#api) are broken.

For example, Consumer API links to
http://kafka.apache.org/21/javadoc/index.html?org/apache/kafka/clients/consumer/KafkaConsumer.html
which return 404
On Thu, Nov 22, 2018 at 2:15 PM Craig Russell  wrote:
>
> Hi Kafka,
>
> Just a note that your download page has a link to the KEYS file at 
> https://kafka.apache.org/KEYS
>
> The KEYS link should be https://www.apache.org/dist/kafka/KEYS for future 
> announcements.
>
> Regards,
>
> Craig
>
> > On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> >
> > The Apache Kafka community is pleased to announce the release for Apache 
> > Kafka 2.1.0
> >
> >
> > This is a major release and includes significant features from 28 KIPs. It 
> > contains fixes and improvements from 179 JIRSs, including a few critical 
> > bug fixes. Here is a summary of some notable changes
> >
> > ** Java 11 support
> > ** Support for Zstandard, which achieves compression comparable to gzip 
> > with higher compression and especially decompression speeds(KIP-110)
> > ** Avoid expiring committed offsets for active consumer group (KIP-211)
> > ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> > ** Kafka's replication protocol now supports improved fencing of zombies. 
> > Previously, under certain rare conditions, if a broker became partitioned 
> > from Zookeeper but not the rest of the cluster, then the logs of replicated 
> > partitions could diverge and cause data loss in the worst case (KIP-320)
> > ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> > ** Admin script and admin client API improvements to simplify admin 
> > operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> > ** DNS handling improvements (KIP-235, KIP-302)
> >
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html 
> > 
> >
> >
> > You can download the source and binary release (Scala ) from:
> > https://kafka.apache.org/downloads#2.1.0 
> > 
> >
> > ---
> >
> >
> > 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 100 contributors to this release!
> >
> > Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras 
> > Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur, 
> > Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger 
> > Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah, 
> > Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe 
> > Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain, 
> > Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma, 
> > Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey, 
> > Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal 
> > Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine 
> > Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette, 
> > Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar 
> > Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias 
> > Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko, 
> > Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks, 
> > nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Dongjin Lee]

Thanks for your great work, Dong!

And special thanks to Ismael and Jason for reviewing my PR! Without you,
KIP-110 never could be completed.

- Dongjin

On Thu, Nov 22, 2018 at 11:15 PM Craig Russell  wrote:

> Hi Kafka,
>
> Just a note that your download page has a link to the KEYS file at
> https://kafka.apache.org/KEYS
>
> The KEYS link should be https://www.apache.org/dist/kafka/KEYS for future
> announcements.
>
> Regards,
>
> Craig
>
> > On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> >
> > The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
> >
> >
> > This is a major release and includes significant features from 28 KIPs.
> It contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
> >
> > ** Java 11 support
> > ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> > ** Avoid expiring committed offsets for active consumer group (KIP-211)
> > ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> > ** Kafka's replication protocol now supports improved fencing of
> zombies. Previously, under certain rare conditions, if a broker became
> partitioned from Zookeeper but not the rest of the cluster, then the logs
> of replicated partitions could diverge and cause data loss in the worst
> case (KIP-320)
> > ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> > ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> > ** DNS handling improvements (KIP-235, KIP-302)
> >
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html <
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html>
> >
> >
> > You can download the source and binary release (Scala ) from:
> > https://kafka.apache.org/downloads#2.1.0 <
> https://kafka.apache.org/downloads#2.1.0>
> >
> >
> ---
> >
> >
> > 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 100 contributors to this release!
> >
> > Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram, Randall
> Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay, Sönke
> 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Craig Russell]

Hi Kafka,

Just a note that your download page has a link to the KEYS file at 
https://kafka.apache.org/KEYS

The KEYS link should be https://www.apache.org/dist/kafka/KEYS for future 
announcements.

Regards,

Craig

> On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> 
> The Apache Kafka community is pleased to announce the release for Apache 
> Kafka 2.1.0
> 
> 
> This is a major release and includes significant features from 28 KIPs. It 
> contains fixes and improvements from 179 JIRSs, including a few critical bug 
> fixes. Here is a summary of some notable changes
> 
> ** Java 11 support
> ** Support for Zstandard, which achieves compression comparable to gzip with 
> higher compression and especially decompression speeds(KIP-110)
> ** Avoid expiring committed offsets for active consumer group (KIP-211)
> ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> ** Kafka's replication protocol now supports improved fencing of zombies. 
> Previously, under certain rare conditions, if a broker became partitioned 
> from Zookeeper but not the rest of the cluster, then the logs of replicated 
> partitions could diverge and cause data loss in the worst case (KIP-320)
> ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> ** Admin script and admin client API improvements to simplify admin operation 
> (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> ** DNS handling improvements (KIP-235, KIP-302)
> 
> 
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html 
> 
> 
> 
> You can download the source and binary release (Scala ) from:
> https://kafka.apache.org/downloads#2.1.0 
> 
> 
> ---
> 
> 
> 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 100 contributors to this release!
> 
> Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras Katona, 
> Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur, Bibin 
> Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger Howell, 
> Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah, Dong Lin, 
> Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe Agapito, Flavien 
> Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain, Gunnar Morling, 
> Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma, Jagadesh Adireddi, 
> Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey, Joan Goyeau, John 
> Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal Chandraprakash, Kevin 
> Lafferty, Kevin Lu, Koen De Groote, Konstantine Karantasis, lambdaliu, Lee 
> Dongjin, Lincong Li, Liquan Pei, lucapette, Lucas Wang, Maciej Bryński, 
> Magesh Nandakumar, Manikumar Reddy, Manikumar Reddy O, Mario Molina, Marko 
> Stanković, Matthias J. Sax, Matthias Wessendorf, Max Zheng, Mayank 
> Tankhiwale, mgharat, Michal Dziemianko, Michał Borowiecki, Mickael Maison, 
> Mutasem Aldmour, Nikolay, nixsticks, nprad, okumin, Radai Rosenblatt, 
> radai-rosenblatt, Rajini Sivaram, Randall Hauch, Robert Yokota, Rohan, Ron 
> Dagostino, Sam Lendle, Sandor Murakozi, Simon Clark, Stanislav Kozlovski, 
> Stephane Maarek, Sébastien Launay, Sönke Liebau, Ted Yu, uncleGen, Vahid 
> Hashemian, Viktor Somogyi, wangshao, xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, 
> ying-zheng, Yishun Guan, Yu Yang, 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
> 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Vahid Hashemian]

Awesome! Thank you Dong for running the release.

--Vahid

On Wed, Nov 21, 2018 at 1:00 PM Edoardo Comar  wrote:

> Bravo Dong!
> Thanks for managing the 2.1.0 release.
>
> Edo
> 
> sent from my phone
>
> On Wed, 21 Nov 2018, 20:41 James Cheng 
> > Thanks Dong for running the release, and congrats to everyone in the
> > community!
> >
> > -James
> >
> > Sent from my iPhone
> >
> > > On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> > >
> > > The Apache Kafka community is pleased to announce the release for
> Apache
> > > Kafka 2.1.0
> > >
> > >
> > > This is a major release and includes significant features from 28 KIPs.
> > It
> > > contains fixes and improvements from 179 JIRSs, including a few
> critical
> > > bug fixes. Here is a summary of some notable changes
> > >
> > > ** Java 11 support
> > > ** Support for Zstandard, which achieves compression comparable to gzip
> > > with higher compression and especially decompression speeds(KIP-110)
> > > ** Avoid expiring committed offsets for active consumer group (KIP-211)
> > > ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> > > ** Kafka's replication protocol now supports improved fencing of
> zombies.
> > > Previously, under certain rare conditions, if a broker became
> partitioned
> > > from Zookeeper but not the rest of the cluster, then the logs of
> > replicated
> > > partitions could diverge and cause data loss in the worst case
> (KIP-320)
> > > ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353,
> KIP-356)
> > > ** Admin script and admin client API improvements to simplify admin
> > > operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> > > ** DNS handling improvements (KIP-235, KIP-302)
> > >
> > >
> > > All of the changes in this release can be found in the release notes:
> > > https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
> > >
> > >
> > > You can download the source and binary release (Scala ) from:
> > > https://kafka.apache.org/downloads#2.1.0
> > >
> > >
> >
> ---
> > >
> > >
> > > 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 100 contributors to this release!
> > >
> > > Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> > > Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem
> > Zur,
> > > Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> > > Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil
> Shah,
> > > Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> > > Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> > > Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael
> Juma,
> > > Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy
> > Casey,
> > > Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> > > Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> > > Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> > > Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy,
> Manikumar
> > > Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> > > Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> > > Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> > > nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram,
> > Randall
> > > Hauch, Robert Yokota, Rohan, Ron 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Edoardo Comar]

Bravo Dong!
Thanks for managing the 2.1.0 release.

Edo

sent from my phone

On Wed, 21 Nov 2018, 20:41 James Cheng  Thanks Dong for running the release, and congrats to everyone in the
> community!
>
> -James
>
> Sent from my iPhone
>
> > On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> >
> > The Apache Kafka community is pleased to announce the release for Apache
> > Kafka 2.1.0
> >
> >
> > This is a major release and includes significant features from 28 KIPs.
> It
> > contains fixes and improvements from 179 JIRSs, including a few critical
> > bug fixes. Here is a summary of some notable changes
> >
> > ** Java 11 support
> > ** Support for Zstandard, which achieves compression comparable to gzip
> > with higher compression and especially decompression speeds(KIP-110)
> > ** Avoid expiring committed offsets for active consumer group (KIP-211)
> > ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> > ** Kafka's replication protocol now supports improved fencing of zombies.
> > Previously, under certain rare conditions, if a broker became partitioned
> > from Zookeeper but not the rest of the cluster, then the logs of
> replicated
> > partitions could diverge and cause data loss in the worst case (KIP-320)
> > ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> > ** Admin script and admin client API improvements to simplify admin
> > operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> > ** DNS handling improvements (KIP-235, KIP-302)
> >
> >
> > All of the changes in this release can be found in the release notes:
> > https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
> >
> >
> > You can download the source and binary release (Scala ) from:
> > https://kafka.apache.org/downloads#2.1.0
> >
> >
> ---
> >
> >
> > 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 100 contributors to this release!
> >
> > Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> > Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem
> Zur,
> > Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> > Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> > Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> > Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> > Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> > Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy
> Casey,
> > Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> > Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> > Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> > Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> > Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> > Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> > Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> > nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram,
> Randall
> > Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> > Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay,
> Sönke
> > Liebau, Ted Yu, uncleGen, Vahid Hashemian, Viktor Somogyi, wangshao,
> > xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, ying-zheng, Yishun Guan, Yu Yang,
> > Zhanxiang (Patrick) Huang
> >
> > We welcome your help and feedback. For more information on 

Re: [ANNOUNCE] Apache Kafka 2.1.0

[James Cheng]

Thanks Dong for running the release, and congrats to everyone in the community!

-James

Sent from my iPhone

> On Nov 21, 2018, at 10:09 AM, Dong Lin  wrote:
> 
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
> 
> 
> This is a major release and includes significant features from 28 KIPs. It
> contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
> 
> ** Java 11 support
> ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> ** Avoid expiring committed offsets for active consumer group (KIP-211)
> ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> ** Kafka's replication protocol now supports improved fencing of zombies.
> Previously, under certain rare conditions, if a broker became partitioned
> from Zookeeper but not the rest of the cluster, then the logs of replicated
> partitions could diverge and cause data loss in the worst case (KIP-320)
> ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> ** DNS handling improvements (KIP-235, KIP-302)
> 
> 
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
> 
> 
> You can download the source and binary release (Scala ) from:
> https://kafka.apache.org/downloads#2.1.0
> 
> ---
> 
> 
> 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 100 contributors to this release!
> 
> Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram, Randall
> Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay, Sönke
> Liebau, Ted Yu, uncleGen, Vahid Hashemian, Viktor Somogyi, wangshao,
> xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, ying-zheng, Yishun Guan, Yu Yang,
> 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,
> Dong

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Guozhang Wang]

Thanks Dong for driving the release!!

Guozhang

On Wed, Nov 21, 2018 at 10:09 AM Dong Lin  wrote:

> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
>
>
> This is a major release and includes significant features from 28 KIPs. It
> contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
>
> ** Java 11 support
> ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> ** Avoid expiring committed offsets for active consumer group (KIP-211)
> ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> ** Kafka's replication protocol now supports improved fencing of zombies.
> Previously, under certain rare conditions, if a broker became partitioned
> from Zookeeper but not the rest of the cluster, then the logs of replicated
> partitions could diverge and cause data loss in the worst case (KIP-320)
> ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> ** DNS handling improvements (KIP-235, KIP-302)
>
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala ) from:
> https://kafka.apache.org/downloads#2.1.0
>
>
> ---
>
>
> 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 100 contributors to this release!
>
> Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram, Randall
> Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay, Sönke
> Liebau, Ted Yu, uncleGen, Vahid Hashemian, Viktor Somogyi, wangshao,
> xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, ying-zheng, Yishun Guan, Yu Yang,
> 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,
> Dong
>


-- 
-- Guozhang

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Ismael Juma]

Thanks for running the release Dong and thanks to all who contributed to
the release!

Ismael

On Wed, Nov 21, 2018, 10:09 AM Dong Lin  The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
>
>
> This is a major release and includes significant features from 28 KIPs. It
> contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
>
> ** Java 11 support
> ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> ** Avoid expiring committed offsets for active consumer group (KIP-211)
> ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> ** Kafka's replication protocol now supports improved fencing of zombies.
> Previously, under certain rare conditions, if a broker became partitioned
> from Zookeeper but not the rest of the cluster, then the logs of replicated
> partitions could diverge and cause data loss in the worst case (KIP-320)
> ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> ** DNS handling improvements (KIP-235, KIP-302)
>
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala ) from:
> https://kafka.apache.org/downloads#2.1.0
>
>
> ---
>
>
> 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 100 contributors to this release!
>
> Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram, Randall
> Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay, Sönke
> Liebau, Ted Yu, uncleGen, Vahid Hashemian, Viktor Somogyi, wangshao,
> xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, ying-zheng, Yishun Guan, Yu Yang,
> 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,
> Dong
>

Re: [ANNOUNCE] Apache Kafka 2.1.0

[Mickael Maison]

Great! Thanks Dong for running the release
On Wed, Nov 21, 2018 at 6:09 PM Dong Lin  wrote:
>
> The Apache Kafka community is pleased to announce the release for Apache
> Kafka 2.1.0
>
>
> This is a major release and includes significant features from 28 KIPs. It
> contains fixes and improvements from 179 JIRSs, including a few critical
> bug fixes. Here is a summary of some notable changes
>
> ** Java 11 support
> ** Support for Zstandard, which achieves compression comparable to gzip
> with higher compression and especially decompression speeds(KIP-110)
> ** Avoid expiring committed offsets for active consumer group (KIP-211)
> ** Provide Intuitive User Timeouts in The Producer (KIP-91)
> ** Kafka's replication protocol now supports improved fencing of zombies.
> Previously, under certain rare conditions, if a broker became partitioned
> from Zookeeper but not the rest of the cluster, then the logs of replicated
> partitions could diverge and cause data loss in the worst case (KIP-320)
> ** Streams API improvements (KIP-319, KIP-321, KIP-330, KIP-353, KIP-356)
> ** Admin script and admin client API improvements to simplify admin
> operation (KIP-231, KIP-308, KIP-322, KIP-324, KIP-338, KIP-340)
> ** DNS handling improvements (KIP-235, KIP-302)
>
>
> All of the changes in this release can be found in the release notes:
> https://www.apache.org/dist/kafka/2.1.0/RELEASE_NOTES.html
>
>
> You can download the source and binary release (Scala ) from:
> https://kafka.apache.org/downloads#2.1.0
>
> ---
>
>
> 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 100 contributors to this release!
>
> Ahmed Al Mehdi, Aleksei Izmalkin, Alex Dunayevsky, Amit Sela, Andras
> Katona, Andy Coates, Anna Povzner, Arjun Satish, Attila Sasvari, Aviem Zur,
> Bibin Sebastian, Bill Bejeck, Bob Barrett, Brandon Kirchner, Bridger
> Howell, Chia-Ping Tsai, Colin Hicks, Colin Patrick McCabe, Dhruvil Shah,
> Dong Lin, Edoardo Comar, Eugen Feller, Ewen Cheslack-Postava, Filipe
> Agapito, Flavien Raynaud, Gantigmaa Selenge, Gardner Vickers, Gitomain,
> Gunnar Morling, Guozhang Wang, hashangayasri, huxi, huxihx, Ismael Juma,
> Jagadesh Adireddi, Jason Gustafson, Jim Galasyn, Jimin Hsieh, Jimmy Casey,
> Joan Goyeau, John Roesler, Jon Lee, jonathanskrzypek, Jun Rao, Kamal
> Chandraprakash, Kevin Lafferty, Kevin Lu, Koen De Groote, Konstantine
> Karantasis, lambdaliu, Lee Dongjin, Lincong Li, Liquan Pei, lucapette,
> Lucas Wang, Maciej Bryński, Magesh Nandakumar, Manikumar Reddy, Manikumar
> Reddy O, Mario Molina, Marko Stanković, Matthias J. Sax, Matthias
> Wessendorf, Max Zheng, Mayank Tankhiwale, mgharat, Michal Dziemianko,
> Michał Borowiecki, Mickael Maison, Mutasem Aldmour, Nikolay, nixsticks,
> nprad, okumin, Radai Rosenblatt, radai-rosenblatt, Rajini Sivaram, Randall
> Hauch, Robert Yokota, Rohan, Ron Dagostino, Sam Lendle, Sandor Murakozi,
> Simon Clark, Stanislav Kozlovski, Stephane Maarek, Sébastien Launay, Sönke
> Liebau, Ted Yu, uncleGen, Vahid Hashemian, Viktor Somogyi, wangshao,
> xinzhg, Xiongqi Wesley Wu, Xiongqi Wu, ying-zheng, Yishun Guan, Yu Yang,
> 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,
> Dong