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| <h2>Spark Release 1.1.1</h2> |
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| <p>Spark 1.1.1 is a maintenance release with bug fixes. This release is based on the <a href="https://github.com/apache/spark/tree/branch-1.1">branch-1.1</a> maintenance branch of Spark. We recommend all 1.1.0 users to upgrade to this stable release. Contributions to this release came from 55 developers.</p> |
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| <p>To download Spark 1.1.1 visit the <a href="/downloads.html">downloads</a> page.</p> |
| |
| <h3 id="fixes">Fixes</h3> |
| <p>Spark 1.1.1 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/z9h">Spark issue tracker</a> for the full list of fixes.</p> |
| |
| <h4 id="spark-core">Spark Core</h4> |
| <ul> |
| <li>Avoid many small spills in external data structures (<a href="https://issues.apache.org/jira/browse/SPARK-4480">SPARK-4480</a>)</li> |
| <li>Memory leak in connection manager timeout thread (<a href="https://issues.apache.org/jira/browse/SPARK-4393">SPARK-4393</a>)</li> |
| <li>Incorrect of channel read return value may lead to data truncation (<a href="https://issues.apache.org/jira/browse/SPARK-4107">SPARK-4107</a>)</li> |
| <li>Stream corruption exceptions observed in sort-based shuffle (<a href="https://issues.apache.org/jira/browse/SPARK-3948">SPARK-3948</a>)</li> |
| <li>Integer overflow in sort-based shuffle key comparison (<a href="https://issues.apache.org/jira/browse/SPARK-3032">SPARK-3032</a>)</li> |
| <li>Lack of thread safety in Hadoop configuration usage in Spark (<a href="https://issues.apache.org/jira/browse/SPARK-2546">SPARK-2546</a>)</li> |
| </ul> |
| |
| <h4 id="sql">SQL</h4> |
| <ul> |
| <li>Wrong Parquet filters are created for all inequality predicates with literals on the left hand side (<a href="https://issues.apache.org/jira/browse/SPARK-4468">SPARK-4468</a>)</li> |
| <li>Support backticks in aliases (<a href="https://issues.apache.org/jira/browse/SPARK-3708">SPARK-3708</a> and <a href="https://issues.apache.org/jira/browse/SPARK-3834">SPARK-3834</a>)</li> |
| <li>ColumnValue types do not match in Spark rows vs Hive rows (<a href="https://github.com/apache/spark/pull/3704">SPARK-3704</a>)</li> |
| </ul> |
| |
| <h4 id="pyspark">PySpark</h4> |
| <ul> |
| <li>Fix sortByKey on empty RDD (<a href="https://issues.apache.org/jira/browse/SPARK-4304">SPARK-4304</a>)</li> |
| <li>Avoid using the same random seed for all partitions (<a href="https://issues.apache.org/jira/browse/SPARK-4148">SPARK-4148</a>)</li> |
| <li>Avoid OOMs when take() is run on empty partitions (<a href="https://issues.apache.org/jira/browse/SPARK-3211">SPARK-3211</a>)</li> |
| </ul> |
| |
| <h4 id="mllib">MLlib</h4> |
| <ul> |
| <li>KryoException caused by ALS.trainImplicit in PySpark (<a href="https://issues.apache.org/jira/browse/SPARK-3990">SPARK-3990</a>)</li> |
| </ul> |
| |
| <h4 id="streaming">Streaming</h4> |
| <ul> |
| <li>Block replication continuously fails if target is down (<a href="https://issues.apache.org/jira/browse/SPARK-3495">SPARK-3495</a>)</li> |
| <li>Block replication may choose driver as target (<a href="https://issues.apache.org/jira/browse/SPARK-3496">SPARK-3496</a>)</li> |
| </ul> |
| |
| <h4 id="graphx">GraphX</h4> |
| <ul> |
| <li>Ensure VertexRDD.apply uses mergeFunc (<a href="https://issues.apache.org/jira/browse/SPARK-2062">SPARK-2062</a>)</li> |
| </ul> |
| |
| <h3 id="contributors">Contributors</h3> |
| <p>The following developers contributed to this release:</p> |
| |
| <ul> |
| <li>Andrew Ash - Documentation and bug fixes in Core</li> |
| <li>Andrew Or - Improvements in Core; bug fixes in Windows, Core, Block Manager, and Shuffle</li> |
| <li>Aniket Bhatnagar - Bug fixes in Core and Streaming</li> |
| <li>Benjamin Piering - Improvements in GraphX</li> |
| <li>Bertrand Bossy - Bug fixes in Core</li> |
| <li>Brenden Matthews - Bug fixes in Mesos</li> |
| <li>Chao Chen - Documentation in Core</li> |
| <li>Cheng Hao - Test in SQL</li> |
| <li>Cheng Lian - Bug fixes in PySpark, MLlib, and SQL</li> |
| <li>Chirag Aggarwal - Bug fixes in SQL</li> |
| <li>Chris Cope - Bug fixes in YARN</li> |
| <li>Davies Liu - Improvements in PySpark; bug fixes in Core, SQL, and PySpark</li> |
| <li>Eric Eijkelenboom - Bug fixes in Core</li> |
| <li>Eric Liang - Bug fixes in Core and SQL</li> |
| <li>Eugen Cepoi - Improvements in Core</li> |
| <li>Fei Wang - Improvements in Core and SQL; bug fixes in Core; documentation in Streaming</li> |
| <li>Grega Kespret - Documentation in Core</li> |
| <li>Guoqiang Li - Bug fixes in Web UI</li> |
| <li>Henry Cook - Documentation in Core</li> |
| <li>Hossein Falaki - Bug fixes in Web UI</li> |
| <li>Ian Hummel - Improvements in Core</li> |
| <li>Jakub Dubovsky - Bug fixes in Core</li> |
| <li>Jerry Shao - Bug fixes in Shuffle</li> |
| <li>Jongyoul Lee - Bug fixes in Core and Mesos</li> |
| <li>Josh Rosen - Improvements in Core; bug fixes in Streaming and Core</li> |
| <li>Kousuke Saruta - Improvements in Core and Web UI; bug fixes in Core, Web UI, and PySpark</li> |
| <li>Larry Xiao - Bug fixes in GraphX</li> |
| <li>Lianhui Wang - Bug fixes in GraphX</li> |
| <li>Liang-Chi Hsieh - Bug fixes in Core</li> |
| <li>Lu Lu - Improvements in GraphX</li> |
| <li>Ma Ji - Bug fixes in Streaming</li> |
| <li>Marcelo Vanzin - Bug fixes in YARN</li> |
| <li>Mark Hamstra - Bug fixes in Core</li> |
| <li>Masayoshi Tsuzuki - Improvements in Core, Shell, and PySpark; bug fixes in Windows and PySpark</li> |
| <li>Michael Armbrust - Documentation in Core</li> |
| <li>Michael Griffiths - Bug fixes in PySpark</li> |
| <li>Min Shen - Bug fixes in YARN</li> |
| <li>Mubarak Seyed - Improvements in Streaming</li> |
| <li>Nicholas Chammas - Documentation in Core</li> |
| <li>Niklas Wilcke - Bug fixes in Core</li> |
| <li>Oded Zimerman - Bug fixes in GraphX</li> |
| <li>Reynold Xin - New features in Core; bug fixes in Core and SQL</li> |
| <li>Rongquan Su - Improvements in Streaming</li> |
| <li>Sandy Ryza - Bug fixes in Core</li> |
| <li>Sean Owen - Bug fixes in Java API, Core, and Streaming</li> |
| <li>Shane Knapp - Bug fixes in Core</li> |
| <li>Shixiong Zhu - Improvements in Web UI; bug fixes in Core and YARN</li> |
| <li>Shuo Xiang - Bug fixes in MLlib</li> |
| <li>Tal Sliwowicz - Bug fixes in Core and Block Manager</li> |
| <li>Tao Wang - Improvements and bug fixes in Core</li> |
| <li>Tathagata Das - Improvements in Streaming; bug fixes in Core, Block Manager, and Streaming</li> |
| <li>Xiangrui Meng - Improvements in Web UI and PySpark; bug fixes in Core, MLlib, and PySpark</li> |
| <li>Yantang Zhai - Bug fixes in Core and Web UI</li> |
| <li>Yash Datta - Improvements in SQL</li> |
| <li>Yin Huai - Documentation in Core</li> |
| </ul> |
| |
| <p><em>Thanks to everyone who contributed!</em></p> |
| |
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| <li><a href="/news/spark-3-5-1-released.html">Spark 3.5.1 released</a> |
| <span class="small">(Feb 23, 2024)</span></li> |
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| <span class="small">(Dec 16, 2023)</span></li> |
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| <li><a href="/news/spark-3-4-2-released.html">Spark 3.4.2 released</a> |
| <span class="small">(Nov 30, 2023)</span></li> |
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| <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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