[jira] [Commented] (SPARK-9592) First and Last aggregates are calculating the values for entire DataFrame partition not on GroupedData partition.

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

    [ https://issues.apache.org/jira/browse/SPARK-9592?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14653502#comment-14653502 ] 

Apache Spark commented on SPARK-9592:
-------------------------------------

User 'ggupta81' has created a pull request for this issue:
https://github.com/apache/spark/pull/7928

> First and Last aggregates are calculating the values for entire DataFrame partition not on GroupedData partition.
> -----------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-9592
>                 URL: https://issues.apache.org/jira/browse/SPARK-9592
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0, 1.5.0
>            Reporter: gaurav
>            Priority: Minor
>             Fix For: 1.5.0
>
>   Original Estimate: 4h
>  Remaining Estimate: 4h
>
> In current implementation, First and Last aggregates were calculating the values for entire DataFrame partition and then the same value was returned for all GroupedData in the partition.
> sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregates.scala
> Fixed the First and Last aggregates should compute first and last value per GroupedData instead of entire DataFrame.



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