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https://issues.apache.org/jira/browse/SPARK-14389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15225265#comment-15225265
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Steve Johnston commented on SPARK-14389:
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The sample script, data, etc is contrived in order to demonstrate the problem.
This OOM occurs at various data sizes, query complexities and cluster
configurations. We mostly see it as a deviation in our experiments.
> 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: lineitem.tbl, 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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