You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/26 01:08:46 UTC

[jira] [Assigned] (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:all-tabpanel ]

Apache Spark reassigned SPARK-10250:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>            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: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org