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https://issues.apache.org/jira/browse/SPARK-10250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-10250:
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Summary: Scala PairRDDFunctions.groupByKey() should be fault-tolerant of
single large groups (was: Scala PairRDDFuncitons.groupByKey() should be
fault-tolerant of single large groups)
> 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
>
> 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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