[jira] [Commented] (SPARK-14389) OOM during BroadcastNestedLoopJoin

["Steve Johnston (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-14389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15225265#comment-15225265 ] 

Steve Johnston commented on SPARK-14389:
----------------------------------------

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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