[ https://issues.apache.org/jira/browse/SPARK-15671?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-15671: ------------------------------------ Assignee: Apache Spark > performance regression CoalesceRDD large # partitions > ----------------------------------------------------- > > Key: SPARK-15671 > URL: https://issues.apache.org/jira/browse/SPARK-15671 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 2.0.0 > Reporter: Thomas Graves > Assignee: Apache Spark > Priority: Critical > > I was running a 15TB join job with 202000 partitions. It looks like the > changes I made to CoalesceRDD in pickBin() are really slow with that large of > partitions. The array filter with that many elements just takes to long. > It took about an hour for it to pickBins for all the partitions. > original change: > https://github.com/apache/spark/commit/83ee92f60345f016a390d61a82f1d924f64ddf90 > Just reverting the pickBin code back to get currpreflocs fixes the issue -- 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