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author | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:08:19 +0000 |
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committer | Patrick Wendell <pwendell@apache.org> | 2014-09-12 00:08:19 +0000 |
commit | c965641b103e79ddfeba87c52dc22c05ac92acf6 (patch) | |
tree | 4cf58f8640a8d4dc589483c257426c125271f7c5 /site/news/spark-1-1-0-released.html | |
parent | ffd76ef6ab0fd44d22877110dea04196462042e2 (diff) | |
download | spark-website-c965641b103e79ddfeba87c52dc22c05ac92acf6.tar.gz spark-website-c965641b103e79ddfeba87c52dc22c05ac92acf6.tar.bz2 spark-website-c965641b103e79ddfeba87c52dc22c05ac92acf6.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 cfceb30cc..f0a4f5c03 100644 --- a/site/news/spark-1-1-0-released.html +++ b/site/news/spark-1-1-0-released.html @@ -167,7 +167,7 @@ <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 173 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 feature 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> |