[jira] [Resolved] (SPARK-22106) Remove support for 0-parameter pandas_udfs

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-22106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-22106.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.3.0

Issue resolved by pull request 19325
[https://github.com/apache/spark/pull/19325]

> Remove support for 0-parameter pandas_udfs
> ------------------------------------------
>
>                 Key: SPARK-22106
>                 URL: https://issues.apache.org/jira/browse/SPARK-22106
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Bryan Cutler
>             Fix For: 2.3.0
>
>
> SPARK-21190 Added support for vectorized pandas_udfs and allows a 0-parameter udf to be created, but it must accept **kwargs to get the correct length of the vector to return. This behavior is a confusing and awkward to implement and the overall pandas_udf usage would be much cleaner if this was not allowed.



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