[jira] [Commented] (SPARK-22274) User-defined aggregation functions with pandas udf

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

    [ https://issues.apache.org/jira/browse/SPARK-22274?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16276358#comment-16276358 ] 

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

User 'icexelloss' has created a pull request for this issue:
https://github.com/apache/spark/pull/19872

> 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
>
> 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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