You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/05/26 02:56:00 UTC

[jira] [Resolved] (SPARK-32194) Standardize exceptions in PySpark

     [ https://issues.apache.org/jira/browse/SPARK-32194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-32194.
----------------------------------
    Fix Version/s: 3.2.0
         Assignee: Hyukjin Kwon
       Resolution: Fixed

Fixed in https://github.com/apache/spark/pull/32650

> Standardize exceptions in PySpark
> ---------------------------------
>
>                 Key: SPARK-32194
>                 URL: https://issues.apache.org/jira/browse/SPARK-32194
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.1.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Major
>             Fix For: 3.2.0
>
>
> Currently, PySpark throws {{Exception}} or just {{RuntimeException}} in many cases. We should standardize them.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org