[ https://issues.apache.org/jira/browse/SPARK-10250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-10250: ------------------------------ Target Version/s: (was: 1.6.0) > 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: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org