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Spark Release 1.0.2 | Apache Spark
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<li><a href="/news/spark-2-0-0-released.html">Spark 2.0.0 released</a>
<span class="small">(Jul 26, 2016)</span></li>
<li><a href="/news/spark-1-6-2-released.html">Spark 1.6.2 released</a>
<span class="small">(Jun 25, 2016)</span></li>
<li><a href="/news/submit-talks-to-spark-summit-eu-2016.html">Call for Presentations for Spark Summit EU is Open</a>
<span class="small">(Jun 16, 2016)</span></li>
<li><a href="/news/spark-2.0.0-preview.html">Preview release of Spark 2.0</a>
<span class="small">(May 26, 2016)</span></li>
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<h2>Spark Release 1.0.2</h2>
<p>Spark 1.0.2 is a maintenance release with bug fixes. This release is based on the <a href="https://github.com/apache/spark/tree/branch-1.0">branch-1.0</a> maintenance branch of Spark. We recommend all 1.0.x users to upgrade to this stable release. Contributions to this release came from 30 developers.</p>
<p>You can download Spark 1.0.2 as either a
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.2.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.2.tgz'); return false;">source package</a>
(6 MB tgz) or a prebuilt package for
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.2-bin-hadoop1.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.2-bin-hadoop1.tgz'); return false;">Hadoop 1 / CDH3</a> (156 MB tgz),
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.2-bin-cdh4.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.2-bin-cdh4.tgz'); return false;">CDH4</a> (161 MB tgz), or
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.2-bin-hadoop2.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.2-bin-hadoop2.tgz'); return false;">Hadoop 2 / CDH5 / HDP2</a>
(168 MB tgz). Release signatures and checksums are available at the official <a href="http://www.apache.org/dist/spark/spark-1.0.2/">Apache download site</a>.</p>
<h3 id="fixes">Fixes</h3>
<p>Spark 1.0.2 contains bug fixes in several components. Some of the more important fixes are highlighted below. You can visit the <a href="http://s.apache.org/9NJ">Spark issue tracker</a> for the full list of fixes.</p>
<h4 id="spark-core">Spark Core</h4>
<ul>
<li>Avoid pulling in the entire RDD or PairRDDFunctions in various operators (<a href="https://issues.apache.org/jira/browse/SPARK-2534">SPARK-2534</a>)</li>
<li>RangePartitioner’s binary search does not use the given Ordering (<a href="https://issues.apache.org/jira/browse/SPARK-2598">SPARK-2598</a>)</li>
<li>Exception in accumulator update should not crash DAGScheduler and SparkContext (<a href="https://issues.apache.org/jira/browse/SPARK-2323">SPARK-2323</a>)</li>
</ul>
<h4 id="sql">SQL</h4>
<ul>
<li>Slave node throws NoClassDefFoundError $line11.$read$ when executing a Spark QL query on HDFS CSV file (<a href="https://issues.apache.org/jira/browse/SPARK-2576">SPARK-2576</a>)</li>
<li>Concurrent initialization of various DataType objects causes exceptions (<a href="https://issues.apache.org/jira/browse/SPARK-2498">SPARK-2498</a>)</li>
<li>Multiple instances of an InMemoryRelation in a single plan results in recaching (<a href="https://issues.apache.org/jira/browse/SPARK-2405">SPARK-2405</a>)</li>
</ul>
<h4 id="pyspark">PySpark</h4>
<ul>
<li>Make hash of None consistant cross machines (<a href="https://issues.apache.org/jira/browse/SPARK-2494">SPARK-2494</a>)</li>
</ul>
<h4 id="mllib">MLlib</h4>
<ul>
<li>mutable.BitSet in ALS not serializable with KryoSerializer (<a href="https://issues.apache.org/jira/browse/SPARK-1977">SPARK-1977</a>)</li>
<li>fix bin offset in DecisionTree node aggregations (<a href="https://issues.apache.org/jira/browse/SPARK-2152">SPARK-2152</a>)</li>
</ul>
<h4 id="streaming">Streaming</h4>
<ul>
<li>Ability to limit the Receiver data rate to prevent overloading of data and Spark crash (<a href="https://issues.apache.org/jira/browse/SPARK-1341">SPARK-1341</a>)</li>
<li>File stream processes existing files in a directory even if newFilesOnly = true (<a href="https://issues.apache.org/jira/browse/SPARK-2362">SPARK-2362</a>)</li>
<li>QueueInputDStream with oneAtATime=false does not dequeue items (<a href="https://issues.apache.org/jira/browse/SPARK-2343">SPARK-2343</a>)</li>
</ul>
<h4 id="graphx">GraphX</h4>
<ul>
<li>VertexPartition is not serializable (<a href="https://issues.apache.org/jira/browse/SPARK-2455">SPARK-2455</a>)</li>
</ul>
<h3 id="contributors">Contributors</h3>
<p>The following developers contributed to this release:</p>
<ul>
<li>Aaron Davidson - Bug fixes in core</li>
<li>Aaron Staple - Bug fix in SQL</li>
<li>Andrew Or - Bug fix in core</li>
<li>Ankur Dave - Bug fix in GraphX</li>
<li>Artjom-Metro - Bug fix in examples</li>
<li>Basit Mustafa - Added t2 EC2 instance support</li>
<li>Cesar Arevalo - Doc fix</li>
<li>Cheng Hao - Bug fix in SQL</li>
<li>Daniel Darabos - Bug fix in core</li>
<li>Davies Liu - Bug fix in PySpark</li>
<li>Gabriele Nizzoli - Bug fix in Streaming</li>
<li>Hossein - Bug fix in core</li>
<li>Issac Buenrostro - Added support for throttling Streaming receiver</li>
<li>Manuel Laflamme - Bug fix in Streaming</li>
<li>Michael Armbrust - Bug fix and performance improvements in SQL</li>
<li>Neville Li - Bug fix in MLlib</li>
<li>Patrick Wendell - Bug fixes in core</li>
<li>Reynold Xin - Bug fixes in core and SQL</li>
<li>Sarah Gerweck - Bug fix in core</li>
<li>Takuya UESHIN - Bug fixes in SQL</li>
<li>Tathagata Das - Bug fix in Streaming</li>
<li>William Benton - Bug fix in SQL</li>
<li>Yin Huai - Bug fixes in SQL</li>
<li>Zongheng Yang - Bug fixes in SQL</li>
<li>baishuo(白硕) - Bug fix in SQL</li>
<li>johnnywalleye - Bug fixes in MLlib</li>
<li>joyyoj - Bug fix in Streaming</li>
<li>kballou - Doc fix</li>
<li>lianhuiwang - Doc fix</li>
<li>witgo - Bug fix in sbt</li>
</ul>
<p><em>Thanks to everyone who contributed!</em></p>
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