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https://issues.apache.org/jira/browse/SPARK-1476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-1476:
-------------------------------

    Target Version/s: 1.2.0
       Fix Version/s:     (was: 1.1.0)
          Issue Type: Improvement  (was: Bug)

> 2GB limit in spark for blocks
> -----------------------------
>
>                 Key: SPARK-1476
>                 URL: https://issues.apache.org/jira/browse/SPARK-1476
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>         Environment: all
>            Reporter: Mridul Muralidharan
>            Assignee: Mridul Muralidharan
>            Priority: Critical
>         Attachments: 2g_fix_proposal.pdf
>
>
> The underlying abstraction for blocks in spark is a ByteBuffer : which limits 
> the size of the block to 2GB.
> This has implication not just for managed blocks in use, but also for shuffle 
> blocks (memory mapped blocks are limited to 2gig, even though the api allows 
> for long), ser-deser via byte array backed outstreams (SPARK-1391), etc.
> This is a severe limitation for use of spark when used on non trivial 
> datasets.



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