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Andrew Ash commented on SPARK-1823: ----------------------------------- // This was not fixed in Spark 1.1 and should be bumped to Spark 1.2 [~pwendell] about this issue on dev@ Aug 25th: {quote} We might create a new JIRA for it, but it doesn't exist yet. We'll create JIRA's for the major 1.2 issues at the beginning of September. {quote} > 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 (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org