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authorPatrick Wendell <pwendell@apache.org>2014-12-19 08:38:12 +0000
committerPatrick Wendell <pwendell@apache.org>2014-12-19 08:38:12 +0000
commit75f75ac84d3dd8bf1cae39218dffd14b916262e6 (patch)
tree174f65abaea24f78551a2c49ac89ba27cdacca04 /news
parentf133385ff6fd077664557b736b885c75a85fbe01 (diff)
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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.