[jira] [Updated] (SPARK-3426) Sort-based shuffle compression behavior is inconsistent

["Patrick Wendell (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-3426?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Patrick Wendell updated SPARK-3426:
-----------------------------------
    Component/s: Spark Core

> Sort-based shuffle compression behavior is inconsistent
> -------------------------------------------------------
>
>                 Key: SPARK-3426
>                 URL: https://issues.apache.org/jira/browse/SPARK-3426
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    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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