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From Guozhang Wang <wangg...@gmail.com>
Subject Re: [ANNOUNCE] Apache Kafka 1.0.1 Released
Date Tue, 06 Mar 2018 21:22:02 GMT
Ewen, thanks for driving the release!!


Guozhang

On Tue, Mar 6, 2018 at 1:14 PM, Ewen Cheslack-Postava <me@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

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