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 2023/04/05 10:35:00 UTC

[jira] [Resolved] (SPARK-42995) Migrate Spark Connect DataFrame errors into error class

     [ https://issues.apache.org/jira/browse/SPARK-42995?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-42995.
----------------------------------
    Fix Version/s: 3.5.0
       Resolution: Fixed

Issue resolved by pull request 40624
[https://github.com/apache/spark/pull/40624]

> Migrate Spark Connect DataFrame errors into error class
> -------------------------------------------------------
>
>                 Key: SPARK-42995
>                 URL: https://issues.apache.org/jira/browse/SPARK-42995
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect, PySpark
>    Affects Versions: 3.5.0
>            Reporter: Haejoon Lee
>            Assignee: Haejoon Lee
>            Priority: Major
>             Fix For: 3.5.0
>
>
> We should migrate the all errors into error class to leverage the PySpark error framework.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

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