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