Announcing Spark 1.5 by Reynold Xin and Patrick Wendell.
From the post:
Today we are happy to announce the availability of Apache Spark’s 1.5 release! In this post, we outline the major development themes in Spark 1.5 and some of the new features we are most excited about. In the coming weeks, our blog will feature more detailed posts on specific components of Spark 1.5. For a comprehensive list of features in Spark 1.5, you can also find the detailed Apache release notes below.
Many of the major changes in Spark 1.5 are under-the-hood changes to improve Spark’s performance, usability, and operational stability. Spark 1.5 ships major pieces of Project Tungsten, an initiative focused on increasing Spark’s performance through several low-level architectural optimizations. The release also adds operational features for the streaming component, such as backpressure support. Another major theme of this release is data science: Spark 1.5 ships several new machine learning algorithms and utilities, and extends Spark’s new R API.
One interesting tidbit is that in Spark 1.5, we have crossed the 10,000 mark for JIRA number (i.e. more than 10,000 tickets have been filed to request features or report bugs). Hopefully the added digit won’t slow down our development too much!
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It’s time to upgrade your Spark installation again!
Enjoy!