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Diffstat (limited to 'site/news/spark-1-1-0-released.html')
| -rw-r--r-- | site/news/spark-1-1-0-released.html | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/site/news/spark-1-1-0-released.html b/site/news/spark-1-1-0-released.html index ea8c4c8d1..e1247859a 100644 --- a/site/news/spark-1-1-0-released.html +++ b/site/news/spark-1-1-0-released.html @@ -150,6 +150,9 @@ <h5>Latest News</h5> <ul class="list-unstyled"> + <li><a href="/news/spark-wins-cloudsort-100tb-benchmark.html">Spark wins CloudSort Benchmark as the most efficient engine</a> + <span class="small">(Nov 15, 2016)</span></li> + <li><a href="/news/spark-2-0-2-released.html">Spark 2.0.2 released</a> <span class="small">(Nov 14, 2016)</span></li> @@ -159,9 +162,6 @@ <li><a href="/news/spark-2-0-1-released.html">Spark 2.0.1 released</a> <span class="small">(Oct 03, 2016)</span></li> - <li><a href="/news/spark-2-0-0-released.html">Spark 2.0.0 released</a> - <span class="small">(Jul 26, 2016)</span></li> - </ul> <p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p> </div> @@ -188,7 +188,7 @@ <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’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> |