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authorPatrick Wendell <pwendell@apache.org>2015-11-19 06:28:44 +0000
committerPatrick Wendell <pwendell@apache.org>2015-11-19 06:28:44 +0000
commitc0ff5ca6447d21dfc258ede00238f553deae67f7 (patch)
tree162fde65fd5ca40dee91156077fe553fe44dad2b /site/news/spark-1-1-0-released.html
parent4a658cd8b79551998d6ba42410b1cadc48fcf8cf (diff)
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Adding SSE 2016 CFP close notice
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<h5>Latest News</h5>
<ul class="list-unstyled">
+ <li><a href="/news/spark-summit-east-2016-cfp-closing.html">CFP for Spark Summit East 2016 is closing soon!</a>
+ <span class="small">(Nov 19, 2015)</span></li>
+
<li><a href="/news/spark-1-5-2-released.html">Spark 1.5.2 released</a>
<span class="small">(Nov 09, 2015)</span></li>
@@ -143,9 +146,6 @@
<li><a href="/news/spark-1-5-1-released.html">Spark 1.5.1 released</a>
<span class="small">(Oct 02, 2015)</span></li>
- <li><a href="/news/spark-1-5-0-released.html">Spark 1.5.0 released</a>
- <span class="small">(Sep 09, 2015)</span></li>
-
</ul>
<p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p>
</div>
@@ -172,7 +172,7 @@
<p>We are happy to announce the availability of <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">Spark 1.1.0</a>! Spark 1.1.0 is the second release on the API-compatible 1.X line. It is Spark&#8217;s largest release ever, with contributions from 171 developers!</p>
-<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other features and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module.</p>
+<p>This release brings operational and performance improvements in Spark core including a new implementation of the Spark shuffle designed for very large scale workloads. Spark 1.1 adds significant extensions to the newest Spark modules, MLlib and Spark SQL. Spark SQL introduces a JDBC server, byte code generation for fast expression evaluation, a public types API, JSON support, and other features and optimizations. MLlib introduces a new statistics libary along with several new algorithms and optimizations. Spark 1.1 also builds out Spark’s Python support and adds new components to the Spark Streaming module. </p>
<p>Visit the <a href="/releases/spark-release-1-1-0.html" title="Spark Release 1.1.0">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p>