Great news! Thanks Damian and Rajini for running this release! On Thu, Mar 29, 2018 at 8:47 AM, James Cheng <wushuja...@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 <rsiva...@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 >
