[jira] [Commented] (SPARK-6553) Support for functools.partial as UserDefinedFunction

["Josh Rosen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-6553?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14391851#comment-14391851 ] 

Josh Rosen commented on SPARK-6553:
-----------------------------------

This was fixed by https://github.com/apache/spark/pull/5206 for 1.3.1 and 1.4.0.

> Support for functools.partial as UserDefinedFunction
> ----------------------------------------------------
>
>                 Key: SPARK-6553
>                 URL: https://issues.apache.org/jira/browse/SPARK-6553
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 1.3.0
>            Reporter: Kalle Jepsen
>            Assignee: Kalle Jepsen
>              Labels: features
>             Fix For: 1.3.1, 1.4.0
>
>
> Currently {{functools.partial}} s cannot be used as {{UserDefinedFunction}} s for {{DataFrame}} s, as  the {{\_\_name\_\_}} attribute does not exist. Passing a {{functools.partial}} object will raise an Exception at https://github.com/apache/spark/blob/master/python/pyspark/sql/functions.py#L126. 
> {{functools.partial}} is very widely used and should probably be supported, despite its lack of a {{\_\_name\_\_}}.
> My suggestion is to use {{f.\_\_repr\_\_()}} instead, or check with {{hasattr(f, '\_\_name\_\_)}} and use {{\_\_class\_\_}} if {{False}}.



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