kafka-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Manikumar <manikumar.re...@gmail.com>
Subject Re: [ANNOUNCE] Apache Kafka 1.1.0 Released
Date Thu, 29 Mar 2018 09:55:40 GMT
Thanks for running the release.

On Thu, Mar 29, 2018 at 3:21 PM, zhenya Sun <token01@126.com> wrote:

> good !!
>
> > 在 2018年3月29日,下午5:45,Mickael Maison <mickael.maison@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
> > <rajinisivaram@gmail.com> wrote:
> >> Resending to kaka-clients group:
> >>
> >> ---------- Forwarded message ----------
> >> From: Rajini Sivaram <rsivaram@apache.org>
> >> Date: Thu, Mar 29, 2018 at 10:27 AM
> >> Subject: [ANNOUNCE] Apache Kafka 1.1.0 Released
> >> To: announce@apache.org, Users <users@kafka.apache.org>, dev <
> >> dev@kafka.apache.org>, kafka-clients <kafka-clients@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
>
>

Mime
  • Unnamed multipart/alternative (inline, None, 0 bytes)
View raw message