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https://issues.apache.org/jira/browse/SPARK-43254?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-43254:
-----------------------------------
Labels: pull-request-available starter (was: starter)
> Assign a name to the error class _LEGACY_ERROR_TEMP_2018
> --------------------------------------------------------
>
> Key: SPARK-43254
> URL: https://issues.apache.org/jira/browse/SPARK-43254
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Max Gekk
> Priority: Minor
> Labels: pull-request-available, starter
>
> Choose a proper name for the error class *_LEGACY_ERROR_TEMP_2018* 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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