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Posted to issues@spark.apache.org by "Max Gekk (Jira)" <ji...@apache.org> on 2023/04/27 12:02:00 UTC
[jira] [Resolved] (SPARK-43257) Assign a name to the error class _LEGACY_ERROR_TEMP_2022
[ https://issues.apache.org/jira/browse/SPARK-43257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Max Gekk resolved SPARK-43257.
------------------------------
Fix Version/s: 3.5.0
Resolution: Fixed
Issue resolved by pull request 40957
[https://github.com/apache/spark/pull/40957]
> Assign a name to the error class _LEGACY_ERROR_TEMP_2022
> --------------------------------------------------------
>
> Key: SPARK-43257
> URL: https://issues.apache.org/jira/browse/SPARK-43257
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Max Gekk
> Assignee: Jin Helin
> Priority: Minor
> Labels: starter
> Fix For: 3.5.0
>
>
> Choose a proper name for the error class *_LEGACY_ERROR_TEMP_2022* 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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