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https://issues.apache.org/jira/browse/SPARK-49549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17881873#comment-17881873
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Mark Andreev commented on SPARK-49549:
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I am in process with this issue
> Assign a name to the error conditions _LEGACY_ERROR_TEMP_3055, 3146
> -------------------------------------------------------------------
>
> Key: SPARK-49549
> URL: https://issues.apache.org/jira/browse/SPARK-49549
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Max Gekk
> Priority: Minor
> Labels: pull-request-available, starter
>
> Choose a proper name for the error conditions *_LEGACY_ERROR_TEMP_3055* and
> *_LEGACY_ERROR_TEMP_3146* 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-conditions.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-conditions.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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