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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:37:30 UTC

[jira] [Resolved] (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 resolved SPARK-10250.
----------------------------------
    Resolution: Incomplete

> 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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