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https://issues.apache.org/jira/browse/SPARK-14389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15231655#comment-15231655
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Yan commented on SPARK-14389:
-----------------------------
Actually the current Master branch does not have the issue; while 1.6.0 has.
There appear to be improvements on BNL join since 1.6, Spark-13213 in
particular.
> OOM during BroadcastNestedLoopJoin
> ----------------------------------
>
> Key: SPARK-14389
> URL: https://issues.apache.org/jira/browse/SPARK-14389
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0
> Environment: OS: Amazon Linux AMI 2015.09
> EMR: 4.3.0
> Hadoop: Amazon 2.7.1
> Spark 1.6.0
> Ganglia 3.7.2
> Master: m3.xlarge
> Core: m3.xlarge
> m3.xlarge: 4 CPU, 15GB mem, 2x40GB SSD
> Reporter: Steve Johnston
> Attachments: jps_command_results.txt, lineitem.tbl, plans.txt,
> sample_script.py, stdout.txt
>
>
> When executing attached sample_script.py in client mode with a single
> executor an exception occurs, "java.lang.OutOfMemoryError: Java heap space",
> during the self join of a small table, TPC-H lineitem generated for a 1M
> dataset. Also see execution log stdout.txt attached.
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