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Posted to issues@spark.apache.org by "LiuZhiqi (Jira)" <ji...@apache.org> on 2023/03/29 07:23:00 UTC

[jira] [Commented] (SPARK-42841) Assign a name to the error class _LEGACY_ERROR_TEMP_2005

    [ https://issues.apache.org/jira/browse/SPARK-42841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17706251#comment-17706251 ] 

LiuZhiqi commented on SPARK-42841:
----------------------------------

Hi Max, I am trying to complete this task, I will create a PR ASAP.

> Assign a name to the error class _LEGACY_ERROR_TEMP_2005
> --------------------------------------------------------
>
>                 Key: SPARK-42841
>                 URL: https://issues.apache.org/jira/browse/SPARK-42841
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.5.0
>            Reporter: Max Gekk
>            Priority: Minor
>              Labels: starter
>
> Choose a proper name for the error class *_LEGACY_ERROR_TEMP_2005* defined in {*}core/src/main/resources/error/error-classes.json{*}. The name should be short but complete (look at the example in error-classes.json).
> Add a test which triggers the error from user code if such test still doesn't exist. Check exception fields by using {*}checkError(){*}. The last function checks valuable error fields only, and avoids dependencies from error text message. In this way, tech editors can modify error format in error-classes.json, and don't worry of Spark's internal tests. Migrate other tests that might trigger the error onto checkError().
> If you cannot reproduce the error from user space (using SQL query), replace the error by an internal error, see {*}SparkException.internalError(){*}.
> Improve the error message format in error-classes.json if the current is not clear. Propose a solution to users how to avoid and fix such kind of errors.
> Please, look at the PR below as examples:
>  * [https://github.com/apache/spark/pull/38685]
>  * [https://github.com/apache/spark/pull/38656]
>  * [https://github.com/apache/spark/pull/38490]



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