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Spark Release 1.3.1 | Apache Spark
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<li><a href="/news/spark-wins-cloudsort-100tb-benchmark.html">Spark wins CloudSort Benchmark as the most efficient engine</a>
<span class="small">(Nov 15, 2016)</span></li>
<li><a href="/news/spark-2-0-2-released.html">Spark 2.0.2 released</a>
<span class="small">(Nov 14, 2016)</span></li>
<li><a href="/news/spark-1-6-3-released.html">Spark 1.6.3 released</a>
<span class="small">(Nov 07, 2016)</span></li>
<li><a href="/news/spark-2-0-1-released.html">Spark 2.0.1 released</a>
<span class="small">(Oct 03, 2016)</span></li>
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<h2>Spark Release 1.3.1</h2>
<p>Spark 1.3.1 is a maintenance release containing stability fixes. This release is based on the <a href="https://github.com/apache/spark/tree/branch-1.3">branch-1.3</a> maintenance branch of Spark. We recommend all 1.3.0 users to upgrade to this stable release. Contributions to this release came from 60 developers.</p>
<p>To download Spark 1.3.1 visit the <a href="/downloads.html">downloads</a> page.</p>
<h3 id="fixes">Fixes</h3>
<p>Spark 1.3.1 contains several bug fixes in Spark SQL and assorted fixes in other components. Some of the more important fixes are highlighted below. You can visit the <a href="https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%201.3.1%20ORDER%20BY%20priority%2C%20component">Spark issue tracker</a> for the full list of fixes.</p>
<h4 id="spark-sql">Spark SQL</h4>
<ul>
<li>Unable to use reserved words in DDL (<a href="http://issues.apache.org/jira/browse/SPARK-6250">SPARK-6250</a>)</li>
<li>Parquet no longer caches metadata (<a href="http://issues.apache.org/jira/browse/SPARK-6575">SPARK-6575</a>)</li>
<li>Bug when joining two Parquet tables (<a href="http://issues.apache.org/jira/browse/SPARK-6851">SPARK-6851</a>)</li>
<li>Unable to read parquet data generated by Spark 1.1.1 (<a href="http://issues.apache.org/jira/browse/SPARK-6315">SPARK-6315</a>)</li>
<li>Parquet data source may use wrong Hadoop FileSystem (<a href="http://issues.apache.org/jira/browse/SPARK-6330">SPARK-6330</a>)</li>
</ul>
<h4 id="spark-streaming">Spark Streaming</h4>
<ul>
<li>Potential for data loss during WAL recovery (<a href="http://issues.apache.org/jira/browse/SPARK-6222">SPARK-6222</a>)</li>
</ul>
<h4 id="pyspark">PySpark</h4>
<ul>
<li>Potential program hang when calling collect (<a href="http://issues.apache.org/jira/browse/SPARK-6667">SPARK-6667</a>)</li>
</ul>
<h4 id="spark-core">Spark Core</h4>
<ul>
<li>Thread safety issue in Netty shuffle (<a href="http://issues.apache.org/jira/browse/SPARK-6578">SPARK-6578</a>)</li>
<li>Memory leak in output committer map (<a href="http://issues.apache.org/jira/browse/SPARK-6737">SPARK-6737</a>)</li>
<li>Unable to perform fetch file when local directories run NFS (<a href="http://issues.apache.org/jira/browse/SPARK-6313">SPARK-6313</a>)</li>
<li>NPE when cancelling and using mix of job groups (<a href="http://issues.apache.org/jira/browse/SPARK-6414">SPARK-6414</a>)</li>
</ul>
<h3 id="contributors">Contributors</h3>
<p>The following developers contributed to this release:</p>
<ul>
<li>Adam Budde – Bug fixes in SQL</li>
<li>Andrew Or – Bug fixes in Core</li>
<li>Andrey Zagrebin – Improvement in SQL</li>
<li>Bill Chambers – Documentation in Core</li>
<li>Cheng Lian – Bug fixes and improvement in SQL</li>
<li>Chet Mancini – Improvements in Core and SQL</li>
<li>Christophe Preaud – Documentation in Core and YARN</li>
<li>Daoyuan Wang – New features in SQL</li>
<li>Davies Liu – Improvements in PySpark and SQL; bug fixes in tests, PySpark, and SQL; improvement in SQL</li>
<li>Dean Chen – Bug fixes in Core</li>
<li>Doing Done – Bug fixes in Core and SQL</li>
<li>Hung Lin – Bug fixes in scheduler</li>
<li>Ilya Ganelin – Improvements in Core</li>
<li>Imran Rashid – Bug fixes in Core</li>
<li>Iulian Dragos – Bug fixes in Core</li>
<li>Jayson Sunshine – Documentation in Core</li>
<li>Jeremy Freeman – Bug fixes in Streaming and MLlib</li>
<li>Jongyoul Lee – Improvements in Mesos; bug fixes in Core</li>
<li>Joseph K. Bradley – Documentation in PySpark, Streaming, SQL, MLlib, and Core</li>
<li>Josh Rosen – Improvements in Core; bug fixes in Java API, Core, scheduler, and Streaming</li>
<li>Kai Sasaki – Documentation in Core and MLlib; bug fixes in MLlib and PySpark</li>
<li>Kalle Jepsen – Improvements in PySpark</li>
<li>Kamil Smuga – Bug fixes in Core and PySpark</li>
<li>Kay Ousterhout – Bug fixes in Core, tests, and Web UI</li>
<li>Kevin (Sangwoo) Kim – Bug fixes in Core</li>
<li>Kousuke Saruta – Improvements in Streaming and tests</li>
<li>Lev Khomich – Improvements in Core</li>
<li>Liang-Chi Hsieh – Bug fixes in SQL</li>
<li>Liangliang Gu – Bug fixes in spark submit</li>
<li>Lomig Megard – Documentation in Core</li>
<li>Marcelo Vanzin – Bug fixes in Core and YARN</li>
<li>Matt Aasted – Bug fixes in EC2</li>
<li>Michael Armbrust – Improvements in SQL; documentation in Core; bug fixes in SQL; improvement in Core and SQL</li>
<li>Michael Griffiths – Bug fixes in Windows and Core</li>
<li>Milan Straka – Bug fixes in PySpark</li>
<li>Nan Zhu – Bug fixes in Core and SQL</li>
<li>Nathan McCarthy – Bug fixes in Core</li>
<li>Pei-Lun Lee – Bug fixes in SQL</li>
<li>Peter Parente – Improvements in Core</li>
<li>Peter Rudenko – Documentation in Core</li>
<li>Reynold Xin – Improvements in Core; documentation in Core; bug fixes in Core; improvement in SQL</li>
<li>Sean Owen – Bug fixes in Core, tests, and SQL</li>
<li>Shixiong Zhu – Bug fixes in Core</li>
<li>Tathagata Das – Improvements in Core and Streaming; bug fixes in Streaming</li>
<li>Thomas Graves – Bug fixes in Core</li>
<li>Tijo Thomas – Bug fixes in Core and SQL</li>
<li>Venkata Ramana Gollamudi – Bug fixes in SQL</li>
<li>Vinod KC – Bug fixes in Core and SQL</li>
<li>Volodymyr Lyubinets – Improvements and bug fixes in SQL</li>
<li>Xiangrui Meng – New features in MLlib and PySpark; bug fixes in PySpark, MLlib, and SQL; documentation in Core and MLlib</li>
<li>Yadong Qi – Improvements in SQL</li>
<li>Yanbo Liang – Bug fixes in MLlib and SQL</li>
<li>Yash Datta – Improvements in SQL</li>
<li>Yin Huai – Improvements and bug fixes in SQL</li>
<li>Yp Cat – Bug fixes in SQL</li>
<li>Yu ISHIKAWA – Improvements in MLlib</li>
<li>Yuri Saito – Bug fixes in SQL</li>
<li>Zhang, Liye – Bug fixes in Core and Web UI</li>
<li>Zhichao Li – Bug fixes in Streaming and Web UI</li>
<li>Zhichao Zhang – Documentation in Core</li>
</ul>
<p><em>Thanks to everyone who contributed!</em></p>
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<br/>
<a href="/news/">Spark News Archive</a>
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