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https://issues.apache.org/jira/browse/SPARK-1392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pat McDonough updated SPARK-1392:
---------------------------------

    Description: 
Using the spark-0.9.0 Hadoop2 binary from the project download page, running 
the spark-shell locally in out of the box configuration, and attempting to 
cache all the attached data, spark OOMs with: java.lang.OutOfMemoryError: GC 
overhead limit exceeded

You can work around the issue by either decreasing spark.storage.memoryFraction 
or increasing SPARK_MEM

  was:
Using the spark-0.9.0 Hadoop2 binary from the project download page, running 
the spark-shell locally in out of the box configuration, and attempting to 
cache all the attached data, spark OOMs with: java.lang.OutOfMemoryError: GC 
overhead limit exceeded

You can work around the issue by either decreasing 
{{spark.storage.memoryFraction}} or increasing {{SPARK_MEM}}


> Local spark-shell Runs Out of Memory With Default Settings
> ----------------------------------------------------------
>
>                 Key: SPARK-1392
>                 URL: https://issues.apache.org/jira/browse/SPARK-1392
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 0.9.0
>         Environment: OS X 10.9.2, Java 1.7.0_51, Scala 2.10.3
>            Reporter: Pat McDonough
>
> Using the spark-0.9.0 Hadoop2 binary from the project download page, running 
> the spark-shell locally in out of the box configuration, and attempting to 
> cache all the attached data, spark OOMs with: java.lang.OutOfMemoryError: GC 
> overhead limit exceeded
> You can work around the issue by either decreasing 
> spark.storage.memoryFraction or increasing SPARK_MEM



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