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https://issues.apache.org/jira/browse/SPARK-7712?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14551957#comment-14551957
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Apache Spark commented on SPARK-7712:
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User 'hvanhovell' has created a pull request for this issue:
https://github.com/apache/spark/pull/6278
> 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
>
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> 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.
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