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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/01/03 22:01:05 UTC

[jira] [Commented] (SPARK-22930) Improve the description of Vectorized UDFs for non-deterministic cases

    [ https://issues.apache.org/jira/browse/SPARK-22930?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16310341#comment-16310341 ] 

Apache Spark commented on SPARK-22930:
--------------------------------------

User 'icexelloss' has created a pull request for this issue:
https://github.com/apache/spark/pull/20142

> Improve the description of Vectorized UDFs for non-deterministic cases
> ----------------------------------------------------------------------
>
>                 Key: SPARK-22930
>                 URL: https://issues.apache.org/jira/browse/SPARK-22930
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark, SQL
>    Affects Versions: 2.3.0
>            Reporter: Xiao Li
>
> After we merge this commit https://github.com/apache/spark/commit/ff48b1b338241039a7189e7a3c04333b1256fdb3, we also need to update the function description of Vectorized UDFs. Users are able to create non-deterministic Vectorized UDFs. 
> Also, add the related test cases. 



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