[jira] [Commented] (SPARK-1476) 2GB limit in spark for blocks

["Reynold Xin (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-1476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14098157#comment-14098157 ] 

Reynold Xin commented on SPARK-1476:
------------------------------------

[~mridulm80] can you post an update on this?

I think it is a great idea to provide a buffer abstraction that can be backed by various buffer implementations (nio.ByteBuffer, Netty ByteBuf, on disk file region). I would like to make this happen for 1.2.


> 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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