I'm happy to announce the availability of Spark 1.2.0! 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 along with performance improvements. Visit the release notes [1] to read about the new features, or download [2] the release today. For errata in the contributions or release notes, please e-mail me *directly* (not on-list). Thanks to everyone involved in creating, testing, and documenting this release! [1] http://spark.apache.org/releases/spark-release-1-2-0.html [2] http://spark.apache.org/downloads.html --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
