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Posted to users@kafka.apache.org by Rajini Sivaram <rs...@apache.org> on 2018/03/29 09:27:17 UTC
[ANNOUNCE] Apache Kafka 1.1.0 Released
The Apache Kafka community is pleased to announce the release for
Apache Kafka 1.1.0.
Kafka 1.1.0 includes a number of significant new features.
Here is a summary of some notable changes:
** Kafka 1.1.0 includes significant improvements to the Kafka Controller
that speed up controlled shutdown. ZooKeeper session expiration edge
cases
have also been fixed as part of this effort.
** Controller improvements also enable more partitions to be supported on a
single cluster. KIP-227 introduced incremental fetch requests, providing
more efficient replication when the number of partitions is large.
** KIP-113 added support for replica movement between log directories to
enable data balancing with JBOD.
** Some of the broker configuration options like SSL keystores can now be
updated dynamically without restarting the broker. See KIP-226 for
details
and the full list of dynamic configs.
** Delegation token based authentication (KIP-48) has been added to Kafka
brokers to support large number of clients without overloading Kerberos
KDCs or other authentication servers.
** Several new features have been added to Kafka Connect, including header
support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
and support for topic regex in sink connectors (KIP-215). Additionally,
the default maximum heap size for Connect workers was increased to 2GB.
** Several improvements have been added to the Kafka Streams API, including
reducing repartition topic partitions footprint, customizable error
handling for produce failures and enhanced resilience to broker
unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
All of the changes in this release can be found in the release notes:
https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
You can download the source release from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
and binary releases from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
(Scala 2.11)
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
Custenborder,
Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
Hamill,
John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
manjuapu,
Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
Mikkin,
mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
Wellman,
umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
Many thanks to Damian Guy for driving this release.
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!
Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Dong Lin <li...@gmail.com>.
Great news! Thanks Damian and Rajini for running this release!
On Thu, Mar 29, 2018 at 8:47 AM, James Cheng <wu...@gmail.com> wrote:
> Thanks Damian and Rajini for running the release! Congrats and good job
> everyone!
>
> -James
>
> Sent from my iPhone
>
> > On Mar 29, 2018, at 2:27 AM, Rajini Sivaram <rs...@apache.org> wrote:
> >
> > The Apache Kafka community is pleased to announce the release for
> >
> > Apache Kafka 1.1.0.
> >
> >
> > Kafka 1.1.0 includes a number of significant new features.
> >
> > Here is a summary of some notable changes:
> >
> >
> > ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
> >
> > that speed up controlled shutdown. ZooKeeper session expiration edge
> > cases
> >
> > have also been fixed as part of this effort.
> >
> >
> > ** Controller improvements also enable more partitions to be supported
> on a
> >
> > single cluster. KIP-227 introduced incremental fetch requests,
> providing
> >
> > more efficient replication when the number of partitions is large.
> >
> >
> > ** KIP-113 added support for replica movement between log directories to
> >
> > enable data balancing with JBOD.
> >
> >
> > ** Some of the broker configuration options like SSL keystores can now be
> >
> > updated dynamically without restarting the broker. See KIP-226 for
> > details
> >
> > and the full list of dynamic configs.
> >
> >
> > ** Delegation token based authentication (KIP-48) has been added to Kafka
> >
> > brokers to support large number of clients without overloading Kerberos
> >
> > KDCs or other authentication servers.
> >
> >
> > ** Several new features have been added to Kafka Connect, including
> header
> >
> > support (KIP-145), SSL and Kafka cluster identifiers in the Connect
> REST
> >
> > interface (KIP-208 and KIP-238), validation of connector names
> (KIP-212)
> >
> > and support for topic regex in sink connectors (KIP-215). Additionally,
> >
> > the default maximum heap size for Connect workers was increased to 2GB.
> >
> >
> > ** Several improvements have been added to the Kafka Streams API,
> including
> >
> > reducing repartition topic partitions footprint, customizable error
> >
> > handling for produce failures and enhanced resilience to broker
> >
> > unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
> >
> >
> > All of the changes in this release can be found in the release notes:
> >
> >
> >
> > https://dist.apache.org/repos/dist/release/kafka/1.1.0/
> RELEASE_NOTES.html
> >
> >
> >
> >
> > You can download the source release from:
> >
> >
> >
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka-1.1.0-src.tgz
> >
> >
> >
> > and binary releases from:
> >
> >
> >
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.11-1.1.0.tgz
> >
> > (Scala 2.11)
> >
> >
> > https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.12-1.1.0.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 120 contributors to this release!
> >
> >
> > Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
> >
> > Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
> >
> > Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
> >
> > Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
> >
> > Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
> >
> > ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe
> Agapito,
> >
> > fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo
> Louro,
> >
> > huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
> >
> > Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> > Custenborder,
> >
> > Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> > Hamill,
> >
> > John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
> >
> > Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
> >
> > Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> > manjuapu,
> >
> > Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
> >
> > Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> > Mikkin,
> >
> > mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat
> Anawatmongkhon,
> >
> > Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
> >
> > Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
> >
> > Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
> >
> > Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
> >
> > Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
> >
> > Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> > Wellman,
> >
> > umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
> >
> > wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
> >
> >
> >
> > Many thanks to Damian Guy for driving this release.
> >
> >
> > 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!
> >
> >
> > Rajini
>
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by James Cheng <wu...@gmail.com>.
Thanks Damian and Rajini for running the release! Congrats and good job everyone!
-James
Sent from my iPhone
> On Mar 29, 2018, at 2:27 AM, Rajini Sivaram <rs...@apache.org> wrote:
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Edoardo Comar <EC...@uk.ibm.com>.
Great to hear! thanks for driving the release process.
--------------------------------------------------
Edoardo Comar
IBM Message Hub
IBM UK Ltd, Hursley Park, SO21 2JN
From: Mickael Maison <mi...@gmail.com>
To: Users <us...@kafka.apache.org>
Cc: kafka-clients <ka...@googlegroups.com>, dev
<de...@kafka.apache.org>
Date: 29/03/2018 10:46
Subject: Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Great news, thanks Damian and Rajini for running this release!
On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
<ra...@gmail.com> wrote:
> Resending to kaka-clients group:
>
> ---------- Forwarded message ----------
> From: Rajini Sivaram <rs...@apache.org>
> Date: Thu, Mar 29, 2018 at 10:27 AM
> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
>
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported
on a
>
> single cluster. KIP-227 introduced incremental fetch requests,
providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now
be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to
Kafka
>
> brokers to support large number of clients without overloading
Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including
header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect
REST
>
> interface (KIP-208 and KIP-238), validation of connector names
(KIP-212)
>
> and support for topic regex in sink connectors (KIP-215).
Additionally,
>
> the default maximum heap size for Connect workers was increased to
2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API,
including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__dist.apache.org_repos_dist_release_kafka_1.1.0_RELEASE-5FNOTES.html&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=K-fcOSRqIsNLv7Ffi2OLvPk1BrdrmxRaM0O9bUUvzFY&e=
>
>
>
>
> You can download the source release from:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-2D1.1.0-2Dsrc.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=ngOY3Ljm4YLxr-prOs8mDRjvDSLo-Wtq_i6ttpcwTPg&e=
>
>
>
> and binary releases from:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-5F2.11-2D1.1.0.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=VKdrqsCBxq9gqE4lOyULufMnALwmReTva42dx5NiuUk&e=
>
> (Scala 2.11)
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-5F2.12-2D1.1.0.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=IS_fkPnoQlL2-dHZzVGTJajOtrUFrRoi0r37D0O5qL8&e=
>
> (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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe
Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo
Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat
Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts,
Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu,
Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> We welcome your help and feedback. For more information on how to
>
> report problems, and to get involved, visit the project website at
>
>
https://urldefense.proofpoint.com/v2/url?u=http-3A__kafka.apache.org_&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=UCtyzs9iJ3f6GUFC-l6-eQvfWBdQdK2uHZaMwDIoYm4&e=
>
>
>
> Thank you!
>
>
> Rajini
Unless stated otherwise above:
IBM United Kingdom Limited - Registered in England and Wales with number
741598.
Registered office: PO Box 41, North Harbour, Portsmouth, Hampshire PO6 3AU
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Manikumar <ma...@gmail.com>.
Thanks for running the release.
On Thu, Mar 29, 2018 at 3:21 PM, zhenya Sun <to...@126.com> wrote:
> good !!
>
> > 在 2018年3月29日，下午5:45，Mickael Maison <mi...@gmail.com> 写道：
> >
> > Great news, thanks Damian and Rajini for running this release!
> >
> > On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
> > <ra...@gmail.com> wrote:
> >> Resending to kaka-clients group:
> >>
> >> ---------- Forwarded message ----------
> >> From: Rajini Sivaram <rs...@apache.org>
> >> Date: Thu, Mar 29, 2018 at 10:27 AM
> >> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> >> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
> >> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
> >>
> >>
> >> The Apache Kafka community is pleased to announce the release for
> >>
> >> Apache Kafka 1.1.0.
> >>
> >>
> >> Kafka 1.1.0 includes a number of significant new features.
> >>
> >> Here is a summary of some notable changes:
> >>
> >>
> >> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
> >>
> >> that speed up controlled shutdown. ZooKeeper session expiration edge
> >> cases
> >>
> >> have also been fixed as part of this effort.
> >>
> >>
> >> ** Controller improvements also enable more partitions to be supported
> on a
> >>
> >> single cluster. KIP-227 introduced incremental fetch requests,
> providing
> >>
> >> more efficient replication when the number of partitions is large.
> >>
> >>
> >> ** KIP-113 added support for replica movement between log directories to
> >>
> >> enable data balancing with JBOD.
> >>
> >>
> >> ** Some of the broker configuration options like SSL keystores can now
> be
> >>
> >> updated dynamically without restarting the broker. See KIP-226 for
> >> details
> >>
> >> and the full list of dynamic configs.
> >>
> >>
> >> ** Delegation token based authentication (KIP-48) has been added to
> Kafka
> >>
> >> brokers to support large number of clients without overloading
> Kerberos
> >>
> >> KDCs or other authentication servers.
> >>
> >>
> >> ** Several new features have been added to Kafka Connect, including
> header
> >>
> >> support (KIP-145), SSL and Kafka cluster identifiers in the Connect
> REST
> >>
> >> interface (KIP-208 and KIP-238), validation of connector names
> (KIP-212)
> >>
> >> and support for topic regex in sink connectors (KIP-215).
> Additionally,
> >>
> >> the default maximum heap size for Connect workers was increased to
> 2GB.
> >>
> >>
> >> ** Several improvements have been added to the Kafka Streams API,
> including
> >>
> >> reducing repartition topic partitions footprint, customizable error
> >>
> >> handling for produce failures and enhanced resilience to broker
> >>
> >> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
> >>
> >>
> >> All of the changes in this release can be found in the release notes:
> >>
> >>
> >>
> >> https://dist.apache.org/repos/dist/release/kafka/1.1.0/
> RELEASE_NOTES.html
> >>
> >>
> >>
> >>
> >> You can download the source release from:
> >>
> >>
> >>
> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka-1.1.0-src.tgz
> >>
> >>
> >>
> >> and binary releases from:
> >>
> >>
> >>
> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.11-1.1.0.tgz
> >>
> >> (Scala 2.11)
> >>
> >>
> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.12-1.1.0.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 120 contributors to this release!
> >>
> >>
> >> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
> >>
> >> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
> >>
> >> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
> >>
> >> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
> >>
> >> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
> >>
> >> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe
> Agapito,
> >>
> >> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo
> Louro,
> >>
> >> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
> >>
> >> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> >> Custenborder,
> >>
> >> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> >> Hamill,
> >>
> >> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
> >>
> >> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
> >>
> >> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> >> manjuapu,
> >>
> >> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
> >>
> >> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> >> Mikkin,
> >>
> >> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat
> Anawatmongkhon,
> >>
> >> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
> >>
> >> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
> >>
> >> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
> >>
> >> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
> >>
> >> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts,
> Study,
> >>
> >> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> >> Wellman,
> >>
> >> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
> >>
> >> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu,
> Yu-Jhe
> >>
> >>
> >>
> >> Many thanks to Damian Guy for driving this release.
> >>
> >>
> >> 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!
> >>
> >>
> >> Rajini
>
>
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by zhenya Sun <to...@126.com>.
good !!
> 在 2018年3月29日，下午5:45，Mickael Maison <mi...@gmail.com> 写道：
>
> Great news, thanks Damian and Rajini for running this release!
>
> On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
> <ra...@gmail.com> wrote:
>> Resending to kaka-clients group:
>>
>> ---------- Forwarded message ----------
>> From: Rajini Sivaram <rs...@apache.org>
>> Date: Thu, Mar 29, 2018 at 10:27 AM
>> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
>> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
>> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
>>
>>
>> The Apache Kafka community is pleased to announce the release for
>>
>> Apache Kafka 1.1.0.
>>
>>
>> Kafka 1.1.0 includes a number of significant new features.
>>
>> Here is a summary of some notable changes:
>>
>>
>> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>>
>> that speed up controlled shutdown. ZooKeeper session expiration edge
>> cases
>>
>> have also been fixed as part of this effort.
>>
>>
>> ** Controller improvements also enable more partitions to be supported on a
>>
>> single cluster. KIP-227 introduced incremental fetch requests, providing
>>
>> more efficient replication when the number of partitions is large.
>>
>>
>> ** KIP-113 added support for replica movement between log directories to
>>
>> enable data balancing with JBOD.
>>
>>
>> ** Some of the broker configuration options like SSL keystores can now be
>>
>> updated dynamically without restarting the broker. See KIP-226 for
>> details
>>
>> and the full list of dynamic configs.
>>
>>
>> ** Delegation token based authentication (KIP-48) has been added to Kafka
>>
>> brokers to support large number of clients without overloading Kerberos
>>
>> KDCs or other authentication servers.
>>
>>
>> ** Several new features have been added to Kafka Connect, including header
>>
>> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>>
>> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>>
>> and support for topic regex in sink connectors (KIP-215). Additionally,
>>
>> the default maximum heap size for Connect workers was increased to 2GB.
>>
>>
>> ** Several improvements have been added to the Kafka Streams API, including
>>
>> reducing repartition topic partitions footprint, customizable error
>>
>> handling for produce failures and enhanced resilience to broker
>>
>> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>>
>>
>> All of the changes in this release can be found in the release notes:
>>
>>
>>
>> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>>
>>
>>
>>
>> You can download the source release from:
>>
>>
>>
>> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
>>
>>
>>
>> and binary releases from:
>>
>>
>>
>> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
>>
>> (Scala 2.11)
>>
>>
>> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
>>
>>
>> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>>
>> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>>
>> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>>
>> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>>
>> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>>
>> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>>
>> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>>
>> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>>
>> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
>> Custenborder,
>>
>> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
>> Hamill,
>>
>> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>>
>> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>>
>> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
>> manjuapu,
>>
>> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>>
>> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
>> Mikkin,
>>
>> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>>
>> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>>
>> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>>
>> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>>
>> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>>
>> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>>
>> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
>> Wellman,
>>
>> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>>
>> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>>
>>
>>
>> Many thanks to Damian Guy for driving this release.
>>
>>
>> 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!
>>
>>
>> Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Edoardo Comar <EC...@uk.ibm.com>.
Great to hear! thanks for driving the release process.
--------------------------------------------------
Edoardo Comar
IBM Message Hub
IBM UK Ltd, Hursley Park, SO21 2JN
From: Mickael Maison <mi...@gmail.com>
To: Users <us...@kafka.apache.org>
Cc: kafka-clients <ka...@googlegroups.com>, dev
<de...@kafka.apache.org>
Date: 29/03/2018 10:46
Subject: Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Great news, thanks Damian and Rajini for running this release!
On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
<ra...@gmail.com> wrote:
> Resending to kaka-clients group:
>
> ---------- Forwarded message ----------
> From: Rajini Sivaram <rs...@apache.org>
> Date: Thu, Mar 29, 2018 at 10:27 AM
> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
>
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported
on a
>
> single cluster. KIP-227 introduced incremental fetch requests,
providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now
be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to
Kafka
>
> brokers to support large number of clients without overloading
Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including
header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect
REST
>
> interface (KIP-208 and KIP-238), validation of connector names
(KIP-212)
>
> and support for topic regex in sink connectors (KIP-215).
Additionally,
>
> the default maximum heap size for Connect workers was increased to
2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API,
including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__dist.apache.org_repos_dist_release_kafka_1.1.0_RELEASE-5FNOTES.html&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=K-fcOSRqIsNLv7Ffi2OLvPk1BrdrmxRaM0O9bUUvzFY&e=
>
>
>
>
> You can download the source release from:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-2D1.1.0-2Dsrc.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=ngOY3Ljm4YLxr-prOs8mDRjvDSLo-Wtq_i6ttpcwTPg&e=
>
>
>
> and binary releases from:
>
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-5F2.11-2D1.1.0.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=VKdrqsCBxq9gqE4lOyULufMnALwmReTva42dx5NiuUk&e=
>
> (Scala 2.11)
>
>
>
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.apache.org_dyn_closer.cgi-3Fpath-3D_kafka_1.1.0_kafka-5F2.12-2D1.1.0.tgz&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=IS_fkPnoQlL2-dHZzVGTJajOtrUFrRoi0r37D0O5qL8&e=
>
> (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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe
Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo
Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat
Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts,
Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu,
Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> We welcome your help and feedback. For more information on how to
>
> report problems, and to get involved, visit the project website at
>
>
https://urldefense.proofpoint.com/v2/url?u=http-3A__kafka.apache.org_&d=DwIFaQ&c=jf_iaSHvJObTbx-siA1ZOg&r=EzRhmSah4IHsUZVekRUIINhltZK7U0OaeRo7hgW4_tQ&m=hcT9l8smi-Mzd7IISQuozrFaicWvFgNLeI3qS-iAH5I&s=UCtyzs9iJ3f6GUFC-l6-eQvfWBdQdK2uHZaMwDIoYm4&e=
>
>
>
> Thank you!
>
>
> Rajini
Unless stated otherwise above:
IBM United Kingdom Limited - Registered in England and Wales with number
741598.
Registered office: PO Box 41, North Harbour, Portsmouth, Hampshire PO6 3AU
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Mickael Maison <mi...@gmail.com>.
Great news, thanks Damian and Rajini for running this release!
On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
<ra...@gmail.com> wrote:
> Resending to kaka-clients group:
>
> ---------- Forwarded message ----------
> From: Rajini Sivaram <rs...@apache.org>
> Date: Thu, Mar 29, 2018 at 10:27 AM
> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
>
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Mickael Maison <mi...@gmail.com>.
Great news, thanks Damian and Rajini for running this release!
On Thu, Mar 29, 2018 at 10:33 AM, Rajini Sivaram
<ra...@gmail.com> wrote:
> Resending to kaka-clients group:
>
> ---------- Forwarded message ----------
> From: Rajini Sivaram <rs...@apache.org>
> Date: Thu, Mar 29, 2018 at 10:27 AM
> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
> dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
>
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
Fwd: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Rajini Sivaram <ra...@gmail.com>.
Resending to kaka-clients group:
---------- Forwarded message ----------
From: Rajini Sivaram <rs...@apache.org>
Date: Thu, Mar 29, 2018 at 10:27 AM
Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
The Apache Kafka community is pleased to announce the release for
Apache Kafka 1.1.0.
Kafka 1.1.0 includes a number of significant new features.
Here is a summary of some notable changes:
** Kafka 1.1.0 includes significant improvements to the Kafka Controller
that speed up controlled shutdown. ZooKeeper session expiration edge
cases
have also been fixed as part of this effort.
** Controller improvements also enable more partitions to be supported on a
single cluster. KIP-227 introduced incremental fetch requests, providing
more efficient replication when the number of partitions is large.
** KIP-113 added support for replica movement between log directories to
enable data balancing with JBOD.
** Some of the broker configuration options like SSL keystores can now be
updated dynamically without restarting the broker. See KIP-226 for
details
and the full list of dynamic configs.
** Delegation token based authentication (KIP-48) has been added to Kafka
brokers to support large number of clients without overloading Kerberos
KDCs or other authentication servers.
** Several new features have been added to Kafka Connect, including header
support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
and support for topic regex in sink connectors (KIP-215). Additionally,
the default maximum heap size for Connect workers was increased to 2GB.
** Several improvements have been added to the Kafka Streams API, including
reducing repartition topic partitions footprint, customizable error
handling for produce failures and enhanced resilience to broker
unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
All of the changes in this release can be found in the release notes:
https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
You can download the source release from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
and binary releases from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
(Scala 2.11)
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
Custenborder,
Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
Hamill,
John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
manjuapu,
Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
Mikkin,
mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
Wellman,
umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
Many thanks to Damian Guy for driving this release.
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!
Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Ismael Juma <is...@juma.me.uk>.
Thanks to Damian and Rajini for running the release and thanks to everyone
who helped make it happen!
Ismael
On Thu, Mar 29, 2018 at 2:27 AM, Rajini Sivaram <rs...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
>
Fwd: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Rajini Sivaram <rs...@apache.org>.
The Apache Kafka community is pleased to announce the release for
Apache Kafka 1.1.0.
Kafka 1.1.0 includes a number of significant new features.
Here is a summary of some notable changes:
** Kafka 1.1.0 includes significant improvements to the Kafka Controller
that speed up controlled shutdown. ZooKeeper session expiration edge
cases
have also been fixed as part of this effort.
** Controller improvements also enable more partitions to be supported on a
single cluster. KIP-227 introduced incremental fetch requests, providing
more efficient replication when the number of partitions is large.
** KIP-113 added support for replica movement between log directories to
enable data balancing with JBOD.
** Some of the broker configuration options like SSL keystores can now be
updated dynamically without restarting the broker. See KIP-226 for
details
and the full list of dynamic configs.
** Delegation token based authentication (KIP-48) has been added to Kafka
brokers to support large number of clients without overloading Kerberos
KDCs or other authentication servers.
** Several new features have been added to Kafka Connect, including header
support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
and support for topic regex in sink connectors (KIP-215). Additionally,
the default maximum heap size for Connect workers was increased to 2GB.
** Several improvements have been added to the Kafka Streams API, including
reducing repartition topic partitions footprint, customizable error
handling for produce failures and enhanced resilience to broker
unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
All of the changes in this release can be found in the release notes:
https://www.apache.org/dist/kafka/1.1.0/RELEASE_NOTES.html
You can download the source and binary releases from:
http://kafka.apache.org/downloads
------------------------------------------------------------
------------------
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 120 contributors to this release!
Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
Custenborder,
Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
Hamill,
John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
manjuapu,
Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
Mikkin,
mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
Wellman,
umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
Many thanks to Damian Guy for driving this release.
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!
Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by James Cheng <wu...@gmail.com>.
Thanks Damian and Rajini for running the release! Congrats and good job everyone!
-James
Sent from my iPhone
> On Mar 29, 2018, at 2:27 AM, Rajini Sivaram <rs...@apache.org> wrote:
>
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Ismael Juma <is...@juma.me.uk>.
Thanks to Damian and Rajini for running the release and thanks to everyone
who helped make it happen!
Ismael
On Thu, Mar 29, 2018 at 2:27 AM, Rajini Sivaram <rs...@apache.org> wrote:
> The Apache Kafka community is pleased to announce the release for
>
> Apache Kafka 1.1.0.
>
>
> Kafka 1.1.0 includes a number of significant new features.
>
> Here is a summary of some notable changes:
>
>
> ** Kafka 1.1.0 includes significant improvements to the Kafka Controller
>
> that speed up controlled shutdown. ZooKeeper session expiration edge
> cases
>
> have also been fixed as part of this effort.
>
>
> ** Controller improvements also enable more partitions to be supported on a
>
> single cluster. KIP-227 introduced incremental fetch requests, providing
>
> more efficient replication when the number of partitions is large.
>
>
> ** KIP-113 added support for replica movement between log directories to
>
> enable data balancing with JBOD.
>
>
> ** Some of the broker configuration options like SSL keystores can now be
>
> updated dynamically without restarting the broker. See KIP-226 for
> details
>
> and the full list of dynamic configs.
>
>
> ** Delegation token based authentication (KIP-48) has been added to Kafka
>
> brokers to support large number of clients without overloading Kerberos
>
> KDCs or other authentication servers.
>
>
> ** Several new features have been added to Kafka Connect, including header
>
> support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
>
> interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
>
> and support for topic regex in sink connectors (KIP-215). Additionally,
>
> the default maximum heap size for Connect workers was increased to 2GB.
>
>
> ** Several improvements have been added to the Kafka Streams API, including
>
> reducing repartition topic partitions footprint, customizable error
>
> handling for produce failures and enhanced resilience to broker
>
> unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
>
>
> All of the changes in this release can be found in the release notes:
>
>
>
> https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
>
>
>
>
> You can download the source release from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka-1.1.0-src.tgz
>
>
>
> and binary releases from:
>
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.11-1.1.0.tgz
>
> (Scala 2.11)
>
>
> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/
> kafka_2.12-1.1.0.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 120 contributors to this release!
>
>
> Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
>
> Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
>
> Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
>
> Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
>
> Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
>
> ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
>
> fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
>
> huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
>
> Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
> Custenborder,
>
> Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
> Hamill,
>
> John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
>
> Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
>
> Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
> manjuapu,
>
> Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
>
> Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
> Mikkin,
>
> mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
>
> Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
>
> Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
>
> Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
>
> Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
>
> Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
>
> Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
> Wellman,
>
> umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
>
> wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
>
>
>
> Many thanks to Damian Guy for driving this release.
>
>
> 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!
>
>
> Rajini
>
Fwd: [ANNOUNCE] Apache Kafka 1.1.0 Released
Posted by Rajini Sivaram <ra...@gmail.com>.
Resending to kaka-clients group:
---------- Forwarded message ----------
From: Rajini Sivaram <rs...@apache.org>
Date: Thu, Mar 29, 2018 at 10:27 AM
Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
To: announce@apache.org, Users <us...@kafka.apache.org>, dev <
dev@kafka.apache.org>, kafka-clients <ka...@googlegroups.com>
The Apache Kafka community is pleased to announce the release for
Apache Kafka 1.1.0.
Kafka 1.1.0 includes a number of significant new features.
Here is a summary of some notable changes:
** Kafka 1.1.0 includes significant improvements to the Kafka Controller
that speed up controlled shutdown. ZooKeeper session expiration edge
cases
have also been fixed as part of this effort.
** Controller improvements also enable more partitions to be supported on a
single cluster. KIP-227 introduced incremental fetch requests, providing
more efficient replication when the number of partitions is large.
** KIP-113 added support for replica movement between log directories to
enable data balancing with JBOD.
** Some of the broker configuration options like SSL keystores can now be
updated dynamically without restarting the broker. See KIP-226 for
details
and the full list of dynamic configs.
** Delegation token based authentication (KIP-48) has been added to Kafka
brokers to support large number of clients without overloading Kerberos
KDCs or other authentication servers.
** Several new features have been added to Kafka Connect, including header
support (KIP-145), SSL and Kafka cluster identifiers in the Connect REST
interface (KIP-208 and KIP-238), validation of connector names (KIP-212)
and support for topic regex in sink connectors (KIP-215). Additionally,
the default maximum heap size for Connect workers was increased to 2GB.
** Several improvements have been added to the Kafka Streams API, including
reducing repartition topic partitions footprint, customizable error
handling for produce failures and enhanced resilience to broker
unavailability. See KIPs 205, 210, 220, 224 and 239 for details.
All of the changes in this release can be found in the release notes:
https://dist.apache.org/repos/dist/release/kafka/1.1.0/RELEASE_NOTES.html
You can download the source release from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka-1.1.0-src.tgz
and binary releases from:
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz
(Scala 2.11)
https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.12-1.1.0.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 120 contributors to this release!
Adem Efe Gencer, Alex Good, Andras Beni, Andy Bryant, Antony Stubbs,
Apurva Mehta, Arjun Satish, bartdevylder, Bill Bejeck, Charly Molter,
Chris Egerton, Clemens Valiente, cmolter, Colin P. Mccabe,
Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, dan norwood,
Daniel Wojda, Derrick Or, Dmitry Minkovsky, Dong Lin, Edoardo Comar,
ekenny, Elyahou, Eugene Sevastyanov, Ewen Cheslack-Postava, Filipe Agapito,
fredfp, Gavrie Philipson, Gunnar Morling, Guozhang Wang, hmcl, Hugo Louro,
huxi, huxihx, Igor Kostiakov, Ismael Juma, Ivan Babrou, Jacek Laskowski,
Jakub Scholz, Jason Gustafson, Jeff Klukas, Jeff Widman, Jeremy
Custenborder,
Jeyhun Karimov, Jiangjie (Becket) Qin, Jiangjie Qin, Jimin Hsieh, Joel
Hamill,
John Roesler, Jorge Quilcate Otoya, Jun Rao, Kamal C, Kamil Szymański,
Koen De Groote, Konstantine Karantasis, lisa2lisa, Logan Buckley,
Magnus Edenhill, Magnus Reftel, Manikumar Reddy, Manikumar Reddy O,
manjuapu,
Manjula K, Mats Julian Olsen, Matt Farmer, Matthias J. Sax,
Matthias Wessendorf, Max Zheng, Maytee Chinavanichkit, Mickael Maison,
Mikkin,
mulvenna, Narendra kumar, Nick Chiu, Onur Karaman, Panuwat Anawatmongkhon,
Paolo Patierno, parafiend, ppatierno, Prasanna Gautam, Radai Rosenblatt,
Rajini Sivaram, Randall Hauch, Richard Yu, RichardYuSTUG, Robert Yokota,
Rohan, Rohan Desai, Romain Hardouin, Ron Dagostino, sachinbhalekar,
Sagar Chavan, Sandor Murakozi, Satish Duggana, Scott, Sean McCauliff,
Siva Santhalingam, siva santhalingam, Soenke Liebau, Steven Aerts, Study,
Tanvi Jaywant, tedyu, Tobias Gies, Tom Bentley, Tommy Becker, Travis
Wellman,
umesh chaudhary, Vahid Hashemian, Viktor Somogyi, Wladimir Schmidt,
wushujames, Xavier Léauté, Xin Li, Yaswanth Kumar, ying-zheng, Yu, Yu-Jhe
Many thanks to Damian Guy for driving this release.
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!
Rajini