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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:14 UTC
[jira] [Updated] (SPARK-10250) Scala PairRDDFunctions.groupByKey()
should be fault-tolerant of single large groups
[ https://issues.apache.org/jira/browse/SPARK-10250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-10250:
---------------------------------
Labels: bulk-closed (was: )
> Scala PairRDDFunctions.groupByKey() should be fault-tolerant of single large groups
> -----------------------------------------------------------------------------------
>
> Key: SPARK-10250
> URL: https://issues.apache.org/jira/browse/SPARK-10250
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.1
> Reporter: Matt Cheah
> Priority: Minor
> Labels: bulk-closed
>
> PairRDDFunctions.groupByKey() is less robust that Python's equivalent, as PySpark's groupByKey can spill single large groups to disk. We should bring the Scala implementation up to parity.
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