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https://issues.apache.org/jira/browse/SPARK-28845?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yuanjian Li resolved SPARK-28845.
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Resolution: Won't Do
After further investigation, I found the objective of performing sort only for
the retried indeterminate stage is unable to achieve. That will break our
assumption for the `outputDeterministicLevel` for each RDD, which should be
defined when the job submitted. While here we expected the output deterministic
level depends on the stage attempt number.
As the SPARK-25341 completed, the current behavior depends on the config
`spark.sql.execution.sortBeforeRepartition`. Spark will sort before
repartition, and rerun the failed tasks when setting the config to true. On the
contrary, the whole stage will rerun.
> Enable spark.sql.execution.sortBeforeRepartition only for retried stages
> ------------------------------------------------------------------------
>
> Key: SPARK-28845
> URL: https://issues.apache.org/jira/browse/SPARK-28845
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 3.0.0
> Reporter: Yuanjian Li
> Priority: Major
>
> For fixing the correctness bug of SPARK-28699, we disable radix sort for the
> scenario of repartition in Spark SQL. This will cause a performance
> regression.
> So for limiting the performance overhead, we'll do the optimizing work by
> only enable sort for the repartition operation while stage retries happening.
> This work depends on SPARK-25341.
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