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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 /news/_posts | |
parent | f133385ff6fd077664557b736b885c75a85fbe01 (diff) | |
download | spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.tar.gz spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.tar.bz2 spark-website-75f75ac84d3dd8bf1cae39218dffd14b916262e6.zip |
Small fix
Diffstat (limited to 'news/_posts')
-rw-r--r-- | news/_posts/2014-12-18-spark-1-2-0-released.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/news/_posts/2014-12-18-spark-1-2-0-released.md b/news/_posts/2014-12-18-spark-1-2-0-released.md index 1e1b773a0..027686b61 100644 --- a/news/_posts/2014-12-18-spark-1-2-0-released.md +++ b/news/_posts/2014-12-18-spark-1-2-0-released.md @@ -13,6 +13,6 @@ meta: --- We are happy to announce the availability of <a href="{{site.url}}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! -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. +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. Visit the <a href="{{site.url}}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="{{site.url}}downloads.html">download</a> the release today. |