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https://issues.apache.org/jira/browse/SPARK-3426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Patrick Wendell updated SPARK-3426:
-----------------------------------
Priority: Blocker (was: Critical)
> Sort-based shuffle compression behavior is inconsistent
> -------------------------------------------------------
>
> Key: SPARK-3426
> URL: https://issues.apache.org/jira/browse/SPARK-3426
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.1.0
> Reporter: Andrew Or
> Assignee: Andrew Or
> Priority: Blocker
>
> We have the following configs:
> {code}
> spark.shuffle.compress
> spark.shuffle.spill.compress
> {code}
> When these two diverge, sort-based shuffle fails with a compression exception
> under certain workloads. This is because in sort-based shuffle we serve the
> index file (using spark.shuffle.spill.compress) as a normal shuffle file
> (using spark.shuffle.compress). It was unfortunate in retrospect that these
> two configs were exposed so we can't easily remove them.
> Here is how this can be reproduced. Set the following in your
> spark-defaults.conf:
> {code}
> spark.master local-cluster[1,1,512]
> spark.shuffle.spill.compress false
> spark.shuffle.compress true
> spark.shuffle.manager sort
> spark.shuffle.memoryFraction 0.001
> {code}
> Then run the following in spark-shell:
> {code}
> sc.parallelize(0 until 100000).map(i => (i/4, i)).groupByKey().collect()
> {code}
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