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<li><a href="/news/spark-2-0-0-released.html">Spark 2.0.0 released</a>
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<h2>Spark Release 1.0.1</h2>
<p>Spark 1.0.1 is a maintenance release with several stability fixes and a few new features in Spark’s SQL (alpha) library. 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 users follow the head of this branch to get the most recent stable version of Spark.</p>
<p>You can download Spark 1.0.1 as either a
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.1.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.1.tgz'); return false;">source package</a>
(5 MB tgz) or a prebuilt package for
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.1-bin-hadoop1.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.1-bin-hadoop1.tgz'); return false;">Hadoop 1 / CDH3</a>,
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.1-bin-cdh4.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.1-bin-cdh4.tgz'); return false;">CDH4</a>, or
<a href="http://d3kbcqa49mib13.cloudfront.net/spark-1.0.1-bin-hadoop2.tgz" onclick="trackOutboundLink(this, 'Release Download Links', 'cloudfront_spark-1.0.1-bin-hadoop2.tgz'); return false;">Hadoop 2 / CDH5 / HDP2</a>
(160 MB tgz). Release signatures and checksums are available at the official <a href="http://www.apache.org/dist/spark/spark-1.0.1/">Apache download site</a>.</p>
<h3 id="fixes">Fixes</h3>
<p>Spark 1.0.1 contains stability fixes in several components. Some of the more important fixes are highlighted below. You can visit the <a href="http://s.apache.org/5zh">Spark issue tracker</a> for an exhaustive list of fixes.</p>
<h4 id="spark-core">Spark Core</h4>
<ul>
<li>Issue with missing keys during external aggregations (<a href="https://issues.apache.org/jira/browse/SPARK-2043">SPARK-2043</a>)</li>
<li>Issue during job failures in Mesos mode (<a href="https://issues.apache.org/jira/browse/SPARK-1749">SPARK-1749</a>)</li>
<li>Error when defining case classes in Scala shell (<a href="https://issues.apache.org/jira/browse/SPARK-1199">SPARK-1199</a>)</li>
<li>Proper support for r3.xlarge instances on AWS (<a href="https://issues.apache.org/jira/browse/SPARK-1790">SPARK-1790</a>)</li>
</ul>
<h4 id="pyspark">PySpark</h4>
<ul>
<li>Issue causing crashes when large numbers of tasks finish quickly (<a href="https://issues.apache.org/jira/browse/SPARK-2282">SPARK-2282</a>)</li>
<li>Issue importing MLlib in YARN-client mode (<a href="https://issues.apache.org/jira/browse/SPARK-2172">SPARK-2172</a>)</li>
<li>Incorrect behavior when hashing None (<a href="https://issues.apache.org/jira/browse/SPARK-1468">SPARK-1468</a>)</li>
</ul>
<h4 id="mllib">MLlib</h4>
<ul>
<li>Added compatibility for numpy 1.4 (<a href="https://issues.apache.org/jira/browse/SPARK-2091">SPARK-2091</a>)</li>
<li>Concurrency issue in random sampler (<a href="https://issues.apache.org/jira/browse/SPARK-2251">SPARK-2251</a>)</li>
<li>NotSerailizable exception in ALS (<a href="https://issues.apache.org/jira/browse/SPARK-1977">SPARK-1977</a>)</li>
</ul>
<h4 id="streaming">Streaming</h4>
<ul>
<li>Key not found when slow receiver starts (<a href="https://issues.apache.org/jira/browse/SPARK-2009">SPARK-2009</a>)</li>
<li>Resource clean-up with KafkaInputDStream (<a href="https://issues.apache.org/jira/browse/SPARK-2034">SPARK-2034</a>)</li>
<li>Issue with Flume events larger than 1020 bytes (<a href="https://issues.apache.org/jira/browse/SPARK-1916">SPARK-1916</a>)</li>
</ul>
<h3 id="sparksql-features">SparkSQL Features</h3>
<ul>
<li>Support for querying JSON datasets (<a href="https://issues.apache.org/jira/browse/SPARK-2060">SPARK-2060</a>).</li>
<li>Improved reading and writing Parquet data, including support for nested records and arrays (<a href="https://issues.apache.org/jira/browse/SPARK-1293">SPARK-1293</a>, <a href="https://issues.apache.org/jira/browse/SPARK-2195">SPARK-2195</a>, <a href="https://issues.apache.org/jira/browse/SPARK-1913">SPARK-1913</a>, and <a href="https://issues.apache.org/jira/browse/SPARK-1487">SPARK-1487</a>).</li>
<li>Improved support for SQL commands (<code>CACHE TABLE</code>, <code>DESCRIBE</code>, SHOW TABLES) (<a href="https://issues.apache.org/jira/browse/SPARK-1968">SPARK-1968</a>, <a href="https://issues.apache.org/jira/browse/SPARK-2128">SPARK-2128</a>, and <a href="https://issues.apache.org/jira/browse/SPARK-1704">SPARK-1704</a>).</li>
<li>Support for SQL specific configuration (initially used for setting number of partitions) (<a href="https://issues.apache.org/jira/browse/SPARK-1508">SPARK-1508</a>).</li>
<li>Idempotence for DDL operations (<a href="https://issues.apache.org/jira/browse/SPARK-2191">SPARK-2191</a>).</li>
</ul>
<h3 id="known-issues">Known Issues</h3>
<p>This release contains one known issue: multi-statement lines the REPL with internal references (<code>> val x = 10; val y = x + 10</code>) produce exceptions (<a href="https://issues.apache.org/jira/browse/SPARK-2452">SPARK-2452</a>). This will be fixed shortly on the 1.0 branch; the fix will be included in the 1.0.2 release.</p>
<h3 id="contributors">Contributors</h3>
<p>The following developers contributed to this release:</p>
<ul>
<li>Aaron Davidson – bug fixes in PySpark and Spark core</li>
<li>Ali Ghodsi – documentation update</li>
<li>Anant – compatibility fix for spark-ec2 script</li>
<li>Anatoli Fomenko – MLlib doc fix</li>
<li>Andre Schumacher – nested Parquet data</li>
<li>Andrew Ash – documentation</li>
<li>Andrew Or – bug fixes and documentation</li>
<li>Ankur Dave – bug fixes</li>
<li>Arkadiusz Komarzewski – doc fix</li>
<li>Baishuo – sql fix</li>
<li>Chen Chao – comment fix and bug fix</li>
<li>Cheng Hao – SQL features</li>
<li>Cheng Lian – SQL features</li>
<li>Christian Tzolov – build improvmenet</li>
<li>Clément MATHIEU – doc updates</li>
<li>CodingCat – doc updates and bug fix</li>
<li>Colin McCabe – bug fix</li>
<li>Daoyuan – SQL joins</li>
<li>David Lemieux – bug fix</li>
<li>Derek Ma – bug fix</li>
<li>Doris Xin – bug fix</li>
<li>Erik Selin – PySpark fix</li>
<li>Gang Bai – bug fix</li>
<li>Guoqiang Li – bug fixes</li>
<li>Henry Saputra – documentation</li>
<li>Jiang – doc fix</li>
<li>Joy Yoj – bug fix</li>
<li>Jyotiska NK – test improvement</li>
<li>Kan Zhang – PySpark SQL features</li>
<li>Kay Ousterhout – documentation fix</li>
<li>LY Lai – bug fix</li>
<li>Lars Albertsson – bug fix</li>
<li>Lei Zhang – SQL fix and feature</li>
<li>Mark Hamstra – bug fix</li>
<li>Matei Zaharia – doc updates and bug fix</li>
<li>Matthew Farrellee – bug fixes</li>
<li>Michael Armbrust – sql features and fixes</li>
<li>Neville Li – buf fix</li>
<li>Nick Chammas – doc fix</li>
<li>Ori Kremer – bug fix</li>
<li>Patrick Wendell – documentation and release manager</li>
<li>Prashant Sharma – bug and doc fixes</li>
<li>Qiuzhuang.Lian – bug fix</li>
<li>Raymond Liu – bug fix</li>
<li>Ravikanth Nawada – bug fixes</li>
<li>Reynold Xin – bug and doc fixes</li>
<li>Sameer Agarwal – optimization</li>
<li>Sandy Ryza – doc fix</li>
<li>Sean Owen – bug fix</li>
<li>Sebastien Rainville – bug fix</li>
<li>Shixiong Zhu – code clean-up</li>
<li>Szul, Piotr – bug fix</li>
<li>Takuya UESHIN – bug fixes and SQL features</li>
<li>Thomas Graves – bug fix</li>
<li>Uri Laserson – bug fix</li>
<li>Vadim Chekan – bug fix</li>
<li>Varakhedi Sujeet – ec2 r3 support</li>
<li>Vlad – doc fix</li>
<li>Wang Lianhui – bug fix</li>
<li>Wenchen Fan – optimization</li>
<li>William Benton – SQL feature</li>
<li>Xi Liu – SQL feature</li>
<li>Xiangrui Meng – bug fix</li>
<li>Ximo Guanter Gonzalbez – SQL feature</li>
<li>Yadid Ayzenberg – doc fix</li>
<li>Yijie Shen – buf fix</li>
<li>Yin Huai – JSON support and bug fixes</li>
<li>Zhen Peng – bug fix</li>
<li>Zichuan Ye – ec2 fixes</li>
<li>Zongheng Yang – sql fixes</li>
</ul>
<p><em>Thanks to everyone who contributed!</em></p>
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