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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/26 01:08:45 UTC
[jira] [Commented] (SPARK-10250) Scala
PairRDDFuncitons.groupByKey() should be fault-tolerant of single large
groups
[ 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.
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