Herman van Hovell tot Westerflier created SPARK-7712: --------------------------------------------------------
Summary: Native Spark Window Functions & Performance Improvements Key: SPARK-7712 URL: https://issues.apache.org/jira/browse/SPARK-7712 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 1.4.0 Reporter: Herman van Hovell tot Westerflier Fix For: 1.5.0 Hi All, After playing with the current spark window implementation, I tried to take this to next level. My main goal is/was to address the following issues: - Native Spark-SQL, the current implementation relies only on Hive UDAFs. The improved implementation uses Spark SQL Aggregates. Hive UDAF's are still supported though. - Much better performance (10x) in running cases (e.g. BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) and UNBOUDED FOLLOWING cases. - Increased optimization opportunities. AggregateEvaluation style optimization should be possible for in frame processing. Tungsten might also provide interesting optimization opportunities. The current work is available at the following location: https://github.com/hvanhovell/spark-window I will try to turn this into a PR in the next couple of days. Meanwhile comments, feedback and other discussion is much appreciated. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org