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https://issues.apache.org/jira/browse/SPARK-17942?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15575759#comment-15575759
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Sean Owen commented on SPARK-17942:
-----------------------------------

You probably need to increase this value -- is there more to it?

> OpenJDK 64-Bit Server VM warning: Try increasing the code cache size using 
> -XX:ReservedCodeCacheSize=
> -----------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17942
>                 URL: https://issues.apache.org/jira/browse/SPARK-17942
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.0.1
>            Reporter: Harish
>            Priority: Minor
>
> My code snipped is  in below location. In that  snippet i had put only few 
> columns, but in my test case i have data with 10M rows and 10,000 columns.
> http://stackoverflow.com/questions/39602596/convert-groupbykey-to-reducebykey-pyspark
> I see below message in spark 2.0.2 snapshot
> # Stderr of the node
> OpenJDK 64-Bit Server VM warning: CodeCache is full. Compiler has been 
> disabled.
> OpenJDK 64-Bit Server VM warning: Try increasing the code cache size using 
> -XX:ReservedCodeCacheSize=
> # stdout of the node
> CodeCache: size=245760Kb used=242680Kb max_used=242689Kb free=3079Kb
>  bounds [0x00007f32c5000000, 0x00007f32d4000000, 0x00007f32d4000000]
>  total_blobs=41388 nmethods=40792 adapters=501
>  compilation: disabled (not enough contiguous free space left)



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