[jira] [Assigned] (SPARK-7712) Native Spark Window Functions & Performance Improvements

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7712?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-7712:
-----------------------------------

    Assignee:     (was: Apache Spark)

> 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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