You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/08/18 00:32:46 UTC

[jira] [Resolved] (SPARK-9592) Last implemented based on AggregateExpression1 are calculating the values for entire DataFrame partition not on GroupedData partition.

     [ https://issues.apache.org/jira/browse/SPARK-9592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-9592.
-------------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.0

Issue resolved by pull request 8172
[https://github.com/apache/spark/pull/8172]

> Last implemented based on AggregateExpression1 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
>            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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org