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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-22274) User-defined aggregation functions with pandas udf
Date Thu, 01 Feb 2018 05:30:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22274?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16348033#comment-16348033
] 

Apache Spark commented on SPARK-22274:
--------------------------------------

User 'ueshin' has created a pull request for this issue:
https://github.com/apache/spark/pull/20467

> User-defined aggregation functions with pandas udf
> --------------------------------------------------
>
>                 Key: SPARK-22274
>                 URL: https://issues.apache.org/jira/browse/SPARK-22274
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 2.2.0
>            Reporter: Li Jin
>            Assignee: Li Jin
>            Priority: Major
>             Fix For: 2.4.0
>
>
> This function doesn't implement partial aggregation and shuffles all data. A uadf that
supports partial aggregation is not covered by this Jira.
> Exmaple:
> {code:java}
> @pandas_udf(DoubleType())
> def mean(v)
>       return v.mean()
> df.groupby('id').apply(mean(df.v1), mean(df.v2))
> {code}



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