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