Congrats, everyone! Thanks for driving the release, Ewen! -James
> On Mar 6, 2018, at 1:22 PM, Guozhang Wang <wangg...@gmail.com> wrote: > > Ewen, thanks for driving the release!! > > > Guozhang > > On Tue, Mar 6, 2018 at 1:14 PM, Ewen Cheslack-Postava <m...@ewencp.org> wrote: > >> The Apache Kafka community is pleased to announce the release for Apache >> Kafka >> 1.0.1. >> >> This is a bugfix release for the 1.0 branch that was first released with >> 1.0.0 about 4 months ago. We've fixed 49 issues since that release. Most of >> these are non-critical, but in aggregate these fixes will have significant >> impact. A few of the more significant fixes include: >> >> * KAFKA-6277: Make loadClass thread-safe for class loaders of Connect >> plugins >> * KAFKA-6185: Selector memory leak with high likelihood of OOM in case of >> down conversion >> * KAFKA-6269: KTable state restore fails after rebalance >> * KAFKA-6190: GlobalKTable never finishes restoring when consuming >> transactional messages >> * KAFKA-6529: Stop file descriptor leak when client disconnects with >> staged receives >> * KAFKA-6238: Issues with protocol version when applying a rolling upgrade >> to 1.0.0 >> >> >> All of the changes in this release can be found in the release notes: >> >> >> https://dist.apache.org/repos/dist/release/kafka/1.0.1/RELEASE_NOTES.html >> >> >> >> You can download the source release from: >> >> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.1/ >> kafka-1.0.1-src.tgz >> >> >> and binary releases from: >> >> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.1/ >> kafka_2.11-1.0.1.tgz >> (Scala 2.11) >> >> https://www.apache.org/dyn/closer.cgi?path=/kafka/1.0.1/ >> kafka_2.12-1.0.1.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 36 contributors to this release! >> >> Alex Good, Andras Beni, Andy Bryant, Arjun Satish, Bill Bejeck, Colin P. >> Mccabe, Colin Patrick McCabe, ConcurrencyPractitioner, Damian Guy, Daniel >> Wojda, Dong Lin, Edoardo Comar, Ewen Cheslack-Postava, Filipe Agapito, >> fredfp, Guozhang Wang, huxihx, Ismael Juma, Jason Gustafson, Jeremy >> Custenborder, Jiangjie (Becket) Qin, Joel Hamill, Konstantine Karantasis, >> lisa2lisa, Logan Buckley, Manjula K, Matthias J. Sax, Nick Chiu, parafiend, >> Rajini Sivaram, Randall Hauch, Robert Yokota, Ron Dagostino, tedyu, >> Yaswanth Kumar, Yu. >> >> >> 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! >> Ewen >> > > > > -- > -- Guozhang
