Lightning-fast cluster computing

Spark 1.2.0 released

We are 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 ( 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 release notes to read about the new features, or download the release today.

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