content/news/2015/04/07/march-in-flink.html - flink-web - Git at Google

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       <h1>March 2015 in the Flink community</h1>

       <article>
         <p>07 Apr 2015</p>

 <p>March has been a busy month in the Flink community.</p>

 <h3 id="flink-runner-for-google-cloud-dataflow">Flink runner for Google Cloud Dataflow</h3>

 <p>A Flink runner for Google Cloud Dataflow was announced. See the blog
 posts by <a href="http://data-artisans.com/dataflow.html">data Artisans</a> and
 the <a href="http://googlecloudplatform.blogspot.de/2015/03/announcing-Google-Cloud-Dataflow-runner-for-Apache-Flink.html">Google Cloud Platform Blog</a>.
 Google Cloud Dataflow programs can be written using and open-source
 SDK and run in multiple backends, either as a managed service inside
 Google’s infrastructure, or leveraging open source runners,
 including Apache Flink.</p>

 <h3 id="learn-about-the-internals-of-flink">Learn about the internals of Flink</h3>

 <p>The community has started an effort to better document the internals
 of Flink. Check out the first articles on the Flink wiki on <a href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=53741525">how Flink
 manages
 memory</a>,
 <a href="https://cwiki.apache.org/confluence/display/FLINK/Data+exchange+between+tasks">how tasks in Flink exchange
 data</a>,
 <a href="https://cwiki.apache.org/confluence/display/FLINK/Type+System%2C+Type+Extraction%2C+Serialization">type extraction and serialization in
 Flink</a>,
 as well as <a href="https://cwiki.apache.org/confluence/display/FLINK/Akka+and+Actors">how Flink builds on Akka for distributed
 coordination</a>.</p>

 <p>Check out also the <a href="http://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">new blog
 post</a>
 on how Flink executes joins with several insights into Flink’s runtime.</p>

 <h3 id="meetups-and-talks">Meetups and talks</h3>

 <p>Flink’s machine learning efforts were presented at the <a href="http://www.meetup.com/Machine-Learning-Stockholm/events/221144997/">Machine
 Learning Stockholm meetup
 group</a>. The
 regular Berlin Flink meetup featured a talk on the past, present, and
 future of Flink. The talk is available on
 <a href="https://www.youtube.com/watch?v=fw2DBE6ZiEQ&amp;feature=youtu.be">youtube</a>.</p>

 <h2 id="in-the-flink-master">In the Flink master</h2>

 <h3 id="table-api-in-scala-and-java">Table API in Scala and Java</h3>

 <p>The new <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-table">Table
 API</a>
 in Flink is now available in both Java and Scala. Check out the
 examples <a href="https://github.com/apache/flink/blob/master/flink-staging/flink-table/src/main/java/org/apache/flink/examples/java/JavaTableExample.java">here (Java)</a> and <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-table/src/main/scala/org/apache/flink/examples/scala">here (Scala)</a>.</p>

 <h3 id="additions-to-the-machine-learning-library">Additions to the Machine Learning library</h3>

 <p>Flink’s <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-ml">Machine Learning
 library</a>
 is seeing quite a bit of traction. Recent additions include the <a href="http://arxiv.org/abs/1409.1458">CoCoA
 algorithm</a> for distributed
 optimization.</p>

 <h3 id="exactly-once-delivery-guarantees-for-streaming-jobs">Exactly-once delivery guarantees for streaming jobs</h3>

 <p>Flink streaming jobs now provide exactly once processing guarantees
 when coupled with persistent sources (notably <a href="http://kafka.apache.org">Apache
 Kafka</a>). Flink periodically checkpoints and
 persists the offsets of the sources and restarts from those
 checkpoints at failure recovery. This functionality is currently
 limited in that it does not yet handle large state and iterative
 programs.</p>

 <h3 id="flink-on-tez">Flink on Tez</h3>

 <p>A new execution environment enables non-iterative Flink jobs to use
 Tez as an execution backend instead of Flink’s own network stack. Learn more
 <a href="http://ci.apache.org/projects/flink/flink-docs-master/setup/flink_on_tez.html">here</a>.</p>

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	<h1>March 2015 in the Flink community</h1>

	<article>
	<p>07 Apr 2015</p>

	<p>March has been a busy month in the Flink community.</p>

	<h3 id="flink-runner-for-google-cloud-dataflow">Flink runner for Google Cloud Dataflow</h3>

	<p>A Flink runner for Google Cloud Dataflow was announced. See the blog
	posts by <a href="http://data-artisans.com/dataflow.html">data Artisans</a> and
	the <a href="http://googlecloudplatform.blogspot.de/2015/03/announcing-Google-Cloud-Dataflow-runner-for-Apache-Flink.html">Google Cloud Platform Blog</a>.
	Google Cloud Dataflow programs can be written using and open-source
	SDK and run in multiple backends, either as a managed service inside
	Google’s infrastructure, or leveraging open source runners,
	including Apache Flink.</p>

	<h3 id="learn-about-the-internals-of-flink">Learn about the internals of Flink</h3>

	<p>The community has started an effort to better document the internals
	of Flink. Check out the first articles on the Flink wiki on <a href="https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=53741525">how Flink
	manages
	memory</a>,
	<a href="https://cwiki.apache.org/confluence/display/FLINK/Data+exchange+between+tasks">how tasks in Flink exchange
	data</a>,
	<a href="https://cwiki.apache.org/confluence/display/FLINK/Type+System%2C+Type+Extraction%2C+Serialization">type extraction and serialization in
	Flink</a>,
	as well as <a href="https://cwiki.apache.org/confluence/display/FLINK/Akka+and+Actors">how Flink builds on Akka for distributed
	coordination</a>.</p>

	<p>Check out also the <a href="http://flink.apache.org/news/2015/03/13/peeking-into-Apache-Flinks-Engine-Room.html">new blog
	post</a>
	on how Flink executes joins with several insights into Flink’s runtime.</p>

	<h3 id="meetups-and-talks">Meetups and talks</h3>

	<p>Flink’s machine learning efforts were presented at the <a href="http://www.meetup.com/Machine-Learning-Stockholm/events/221144997/">Machine
	Learning Stockholm meetup
	group</a>. The
	regular Berlin Flink meetup featured a talk on the past, present, and
	future of Flink. The talk is available on
	<a href="https://www.youtube.com/watch?v=fw2DBE6ZiEQ&feature=youtu.be">youtube</a>.</p>

	<h2 id="in-the-flink-master">In the Flink master</h2>

	<h3 id="table-api-in-scala-and-java">Table API in Scala and Java</h3>

	<p>The new <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-table">Table
	API</a>
	in Flink is now available in both Java and Scala. Check out the
	examples <a href="https://github.com/apache/flink/blob/master/flink-staging/flink-table/src/main/java/org/apache/flink/examples/java/JavaTableExample.java">here (Java)</a> and <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-table/src/main/scala/org/apache/flink/examples/scala">here (Scala)</a>.</p>

	<h3 id="additions-to-the-machine-learning-library">Additions to the Machine Learning library</h3>

	<p>Flink’s <a href="https://github.com/apache/flink/tree/master/flink-staging/flink-ml">Machine Learning
	library</a>
	is seeing quite a bit of traction. Recent additions include the <a href="http://arxiv.org/abs/1409.1458">CoCoA
	algorithm</a> for distributed
	optimization.</p>

	<h3 id="exactly-once-delivery-guarantees-for-streaming-jobs">Exactly-once delivery guarantees for streaming jobs</h3>

	<p>Flink streaming jobs now provide exactly once processing guarantees
	when coupled with persistent sources (notably <a href="http://kafka.apache.org">Apache
	Kafka</a>). Flink periodically checkpoints and
	persists the offsets of the sources and restarts from those
	checkpoints at failure recovery. This functionality is currently
	limited in that it does not yet handle large state and iterative
	programs.</p>

	<h3 id="flink-on-tez">Flink on Tez</h3>

	<p>A new execution environment enables non-iterative Flink jobs to use
	Tez as an execution backend instead of Flink’s own network stack. Learn more
	<a href="http://ci.apache.org/projects/flink/flink-docs-master/setup/flink_on_tez.html">here</a>.</p>

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