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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}}

{code}
val explore = 
sc.textFile("/Users/pat/Projects/training-materials/Data/wiki_links")
explore.cache
explore.count
{code}

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



  was:
When 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}}

{code}
val explore = 
sc.textFile("/Users/pat/Projects/training-materials/Data/wiki_links")
explore.cache
explore.count
{code}

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}}
> {code}
> val explore = 
> sc.textFile("/Users/pat/Projects/training-materials/Data/wiki_links")
> explore.cache
> explore.count
> {code}
> You can work around the issue by either decreasing 
> {{spark.storage.memoryFraction}} or increasing {{SPARK_MEM}}



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