[ https://issues.apache.org/jira/browse/SPARK-1823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or updated SPARK-1823: ----------------------------- Affects Version/s: 1.0.0 > ExternalAppendOnlyMap can still OOM if one key is very large > ------------------------------------------------------------ > > Key: SPARK-1823 > URL: https://issues.apache.org/jira/browse/SPARK-1823 > Project: Spark > Issue Type: Bug > Affects Versions: 1.0.0 > Reporter: Andrew Or > Fix For: 1.1.0 > > > If the values for one key do not collectively fit into memory, then the map > will still OOM when you merge the spilled contents back in. > This is a problem especially for PySpark, since we hash the keys (Python > objects) before a shuffle, and there are only so many integers out there in > the world, so there could potentially be many collisions. -- This message was sent by Atlassian JIRA (v6.2#6252)