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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="scaling-als">Scaling ALS</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</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-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</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</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> |
| |
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