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| author | Patrick Wendell <pwendell@apache.org> | 2014-12-19 08:38:12 +0000 |
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| committer | Patrick Wendell <pwendell@apache.org> | 2014-12-19 08:38:12 +0000 |
| commit | 75f75ac84d3dd8bf1cae39218dffd14b916262e6 (patch) | |
| tree | 174f65abaea24f78551a2c49ac89ba27cdacca04 /site/news/spark-1-2-0-released.html | |
| parent | f133385ff6fd077664557b736b885c75a85fbe01 (diff) | |
| download | spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.tar.gz spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.tar.bz2 spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.zip | |
Small fix
Diffstat (limited to 'site/news/spark-1-2-0-released.html')
| -rw-r--r-- | site/news/spark-1-2-0-released.html | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/news/spark-1-2-0-released.html b/site/news/spark-1-2-0-released.html index 22ffdce8d..76124e910 100644 --- a/site/news/spark-1-2-0-released.html +++ b/site/news/spark-1-2-0-released.html @@ -168,7 +168,7 @@ <p>We are happy to announce the availability of <a href="/releases/spark-release-1-2-0.html" title="Spark Release 1.2.0">Spark 1.2.0</a>! Spark 1.2.0 is the third release on the API-compatible 1.X line. It is Spark’s largest release ever, with contributions from 172 developers and more than 1,000 commits!</p> -<p>This release brings operational and performance improvements in Spark core including a new network transport subsytem designed for very large shuffles, Spark SQL introduces an API for external data sources along with Hive 13 support, dynamic partitioning, and the fixed-precision decimal type. MLlib adds a new pipeline-oriented package (spark.ml) for composing multiple algorithms. Spark Streaming adds a Python API and a write ahead log for fault tolerance. Finally, GraphX has graduated from alpha and introduces a stable API.</p> +<p>This release brings operational and performance improvements in Spark core including a new network transport subsytem designed for very large shuffles. Spark SQL introduces an API for external data sources along with Hive 13 support, dynamic partitioning, and the fixed-precision decimal type. MLlib adds a new pipeline-oriented package (spark.ml) for composing multiple algorithms. Spark Streaming adds a Python API and a write ahead log for fault tolerance. Finally, GraphX has graduated from alpha and introduces a stable API.</p> <p>Visit the <a href="/releases/spark-release-1-2-0.html" title="Spark Release 1.2.0">release notes</a> to read about the new features, or <a href="/downloads.html">download</a> the release today.</p> |