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| Scaling ALS # Flink committers employed at data Artisans published a blog post on how they scaled matrix factorization with Flink and Google Compute Engine to matrices with 28 billion elements. |
| Learn about the internals of Flink # The community has started an effort to better document the internals of Flink. Check out the first articles on the Flink wiki on how Flink manages memory, how tasks in Flink exchange data, type extraction and serialization in Flink, as well as how Flink builds on Akka for distributed coordination." /> |
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| <h1> |
| <a href="/2015/04/07/march-2015-in-the-flink-community/">March 2015 in the Flink community</a> |
| </h1> |
| |
| |
| |
| April 7, 2015 - |
| |
| |
| |
| |
| |
| <p><p>March has been a busy month in the Flink community.</p> |
| <h3 id="scaling-als"> |
| Scaling ALS |
| <a class="anchor" href="#scaling-als">#</a> |
| </h3> |
| <p>Flink committers employed at <a href="http://data-artisans.com">data Artisans</a> published a <a href="http://data-artisans.com/how-to-factorize-a-700-gb-matrix-with-apache-flink/">blog post</a> on how they scaled matrix factorization with Flink and Google Compute Engine to matrices with 28 billion elements.</p> |
| <h3 id="learn-about-the-internals-of-flink"> |
| Learn about the internals of Flink |
| <a class="anchor" href="#learn-about-the-internals-of-flink">#</a> |
| </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 |
| <a class="anchor" href="#meetups-and-talks">#</a> |
| </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 |
| <a class="anchor" href="#in-the-flink-master">#</a> |
| </h2> |
| <h3 id="table-api-in-scala-and-java"> |
| Table API in Scala and Java |
| <a class="anchor" href="#table-api-in-scala-and-java">#</a> |
| </h3> |
| <p>The new <a href="https://github.com/apache/flink/tree/master/flink-libraries/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-libraries/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-libraries/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 |
| <a class="anchor" href="#additions-to-the-machine-learning-library">#</a> |
| </h3> |
| <p>Flink’s <a href="https://github.com/apache/flink/tree/master/flink-libraries/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 |
| <a class="anchor" href="#exactly-once-delivery-guarantees-for-streaming-jobs">#</a> |
| </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> |
| </p> |
| </article> |
| |
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| <li><a href="#scaling-als">Scaling ALS</a></li> |
| <li><a href="#learn-about-the-internals-of-flink">Learn about the internals of Flink</a></li> |
| <li><a href="#meetups-and-talks">Meetups and talks</a></li> |
| </ul> |
| </li> |
| <li><a href="#in-the-flink-master">In the Flink master</a> |
| <ul> |
| <li><a href="#table-api-in-scala-and-java">Table API in Scala and Java</a></li> |
| <li><a href="#additions-to-the-machine-learning-library">Additions to the Machine Learning library</a></li> |
| <li><a href="#exactly-once-delivery-guarantees-for-streaming-jobs">Exactly-once delivery guarantees for streaming jobs</a></li> |
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