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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>NotSerializable 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 class="language-plaintext highlighter-rouge">CACHE TABLE</code>, <code class="language-plaintext highlighter-rouge">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 class="language-plaintext highlighter-rouge">&gt; 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 &#8211; bug fixes in PySpark and Spark core</li>
<li>Ali Ghodsi &#8211; documentation update</li>
<li>Anant &#8211; compatibility fix for spark-ec2 script</li>
<li>Anatoli Fomenko &#8211; MLlib doc fix</li>
<li>Andre Schumacher &#8211; nested Parquet data</li>
<li>Andrew Ash &#8211; documentation</li>
<li>Andrew Or &#8211; bug fixes and documentation</li>
<li>Ankur Dave &#8211; bug fixes</li>
<li>Arkadiusz Komarzewski &#8211; doc fix</li>
<li>Baishuo &#8211; sql fix</li>
<li>Chen Chao &#8211; comment fix and bug fix</li>
<li>Cheng Hao &#8211; SQL features</li>
<li>Cheng Lian &#8211; SQL features</li>
<li>Christian Tzolov &#8211; build improvement</li>
<li>Clément MATHIEU &#8211; doc updates</li>
<li>CodingCat &#8211; doc updates and bug fix</li>
<li>Colin McCabe &#8211; bug fix</li>
<li>Daoyuan &#8211; SQL joins</li>
<li>David Lemieux &#8211; bug fix</li>
<li>Derek Ma &#8211; bug fix</li>
<li>Doris Xin &#8211; bug fix</li>
<li>Erik Selin &#8211; PySpark fix</li>
<li>Gang Bai &#8211; bug fix</li>
<li>Guoqiang Li &#8211; bug fixes</li>
<li>Henry Saputra &#8211; documentation</li>
<li>Jiang &#8211; doc fix</li>
<li>Joy Yoj &#8211; bug fix</li>
<li>Jyotiska NK &#8211; test improvement</li>
<li>Kan Zhang &#8211; PySpark SQL features</li>
<li>Kay Ousterhout &#8211; documentation fix</li>
<li>LY Lai &#8211; bug fix</li>
<li>Lars Albertsson &#8211; bug fix</li>
<li>Lei Zhang &#8211; SQL fix and feature</li>
<li>Mark Hamstra &#8211; bug fix</li>
<li>Matei Zaharia &#8211; doc updates and bug fix</li>
<li>Matthew Farrellee &#8211; bug fixes</li>
<li>Michael Armbrust &#8211; sql features and fixes</li>
<li>Neville Li &#8211; buf fix</li>
<li>Nick Chammas &#8211; doc fix</li>
<li>Ori Kremer &#8211; bug fix</li>
<li>Patrick Wendell &#8211; documentation and release manager</li>
<li>Prashant Sharma &#8211; bug and doc fixes</li>
<li>Qiuzhuang.Lian &#8211; bug fix</li>
<li>Raymond Liu &#8211; bug fix</li>
<li>Ravikanth Nawada &#8211; bug fixes</li>
<li>Reynold Xin &#8211; bug and doc fixes</li>
<li>Sameer Agarwal &#8211; optimization</li>
<li>Sandy Ryza &#8211; doc fix</li>
<li>Sean Owen &#8211; bug fix</li>
<li>Sebastien Rainville &#8211; bug fix</li>
<li>Shixiong Zhu &#8211; code clean-up</li>
<li>Szul, Piotr &#8211; bug fix</li>
<li>Takuya UESHIN &#8211; bug fixes and SQL features</li>
<li>Thomas Graves &#8211; bug fix</li>
<li>Uri Laserson &#8211; bug fix</li>
<li>Vadim Chekan &#8211; bug fix</li>
<li>Varakhedi Sujeet &#8211; ec2 r3 support</li>
<li>Vlad &#8211; doc fix</li>
<li>Wang Lianhui &#8211; bug fix</li>
<li>Wenchen Fan &#8211; optimization</li>
<li>William Benton &#8211; SQL feature</li>
<li>Xi Liu &#8211; SQL feature</li>
<li>Xiangrui Meng &#8211; bug fix</li>
<li>Ximo Guanter Gonzalbez &#8211; SQL feature</li>
<li>Yadid Ayzenberg &#8211; doc fix</li>
<li>Yijie Shen &#8211; buf fix</li>
<li>Yin Huai &#8211; JSON support and bug fixes</li>
<li>Zhen Peng &#8211; bug fix</li>
<li>Zichuan Ye &#8211; ec2 fixes</li>
<li>Zongheng Yang &#8211; sql fixes</li>
</ul>
<p><em>Thanks to everyone who contributed!</em></p>
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<ul class="list-unstyled">
<li><a href="/news/spark-3-5-1-released.html">Spark 3.5.1 released</a>
<span class="small">(Feb 23, 2024)</span></li>
<li><a href="/news/spark-3-3-4-released.html">Spark 3.3.4 released</a>
<span class="small">(Dec 16, 2023)</span></li>
<li><a href="/news/spark-3-4-2-released.html">Spark 3.4.2 released</a>
<span class="small">(Nov 30, 2023)</span></li>
<li><a href="/news/spark-3-5-0-released.html">Spark 3.5.0 released</a>
<span class="small">(Sep 13, 2023)</span></li>
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