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https://issues.apache.org/jira/browse/SPARK-58352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Pan resolved SPARK-58352.
-------------------------------
Fix Version/s: 4.4.0
Resolution: Fixed
Issue resolved by pull request 57540
[https://github.com/apache/spark/pull/57540]
> Migrate _LEGACY_ERROR_TEMP_2070 to WRITING_JOB_FAILED
> -----------------------------------------------------
>
> Key: SPARK-58352
> URL: https://issues.apache.org/jira/browse/SPARK-58352
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.2.0
> Reporter: Xiao Li
> Assignee: Xiao Li
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.4.0
>
>
> Migrates the legacy error class {{_LEGACY_ERROR_TEMP_2070}} to the structured
> error
> framework
> This error ("Writing job failed.") is a {{SparkException}} thrown by
> {{{}QueryExecutionErrors.writingJobFailedError{}}}, raised by
> {{WriteToDataSourceV2Exec}} when a
> DataSource V2 batch write fails and the subsequent {{abort()}} also fails
> (the original
> cause is chained onto the exception).
> * Introduces a new named structured condition {{WRITING_JOB_FAILED}}
> (SQLSTATE {{{}58030{}}},
> matching the sibling {{{}TASK_WRITE_FAILED{}}}), keeping it parameterless and
> preserving the
> chained {{{}cause{}}}.
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