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| author | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:10:00 +0000 |
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| committer | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:10:00 +0000 |
| commit | ddf743b7cdfd7186610bd51606880bdce6897282 (patch) | |
| tree | e7ec0769183e74ac2fed051ce34eb67975d36ed3 /site/news/spark-1-1-0-released.html | |
| parent | c965641b103e79ddfeba87c52dc22c05ac92acf6 (diff) | |
| download | spark-website-ddf743b7cdfd7186610bd51606880bdce6897282.tar.gz spark-website-ddf743b7cdfd7186610bd51606880bdce6897282.tar.bz2 spark-website-ddf743b7cdfd7186610bd51606880bdce6897282.zip | |
More 1.1 typo fixes
Diffstat (limited to 'site/news/spark-1-1-0-released.html')
| -rw-r--r-- | site/news/spark-1-1-0-released.html | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/news/spark-1-1-0-released.html b/site/news/spark-1-1-0-released.html index f0a4f5c03..e05fb9661 100644 --- a/site/news/spark-1-1-0-released.html +++ b/site/news/spark-1-1-0-released.html @@ -165,7 +165,7 @@ <h2>Spark 1.1.0 released</h2> -<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 173 developers!</p> +<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> |