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From Dong Lin <lindon...@gmail.com>
Subject Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Date Thu, 29 Mar 2018 16:57:36 GMT
Great news! Thanks Damian and Rajini for running this release!

On Thu, Mar 29, 2018 at 8:47 AM, James Cheng <wushujames@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 <rsivaram@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
>

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