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https://issues.apache.org/jira/browse/SPARK-8641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635205#comment-14635205
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Herman van Hovell commented on SPARK-8641:
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We need to wait for the new UDAF interface to stabilize. Special attention
needs to be paid to following aspects:
* Hive UDAFs
* Difference in processing an AlgebraicAggregate, AggregateFunction2 &
(potentially) AggregateFunction
* Common aggregate processing functionality.
> Native Spark Window Functions
> -----------------------------
>
> Key: SPARK-8641
> URL: https://issues.apache.org/jira/browse/SPARK-8641
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Herman van Hovell
>
> The current Window implementation uses Hive UDAFs for all aggregation
> operations. In this ticket we will move to this functionality to Native Spark
> Expressions. The rationale for this is that although Hive UDAFs are very well
> written, they remain opaque in processing and memory management; this makes
> them hard to optimize.
> This ticket and its PR will build on the work being done in SPARK-4366.
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