[
https://issues.apache.org/jira/browse/SPARK-10250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14712149#comment-14712149
]
Apache Spark commented on SPARK-10250:
--------------------------------------
User 'mccheah' has created a pull request for this issue:
https://github.com/apache/spark/pull/8438
> Scala PairRDDFuncitons.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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
