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https://issues.apache.org/jira/browse/SPARK-1476?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14099333#comment-14099333
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Reynold Xin edited comment on SPARK-1476 at 8/15/14 11:12 PM:
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Let's work together to get something for 1.2 or 1.3. At the very least, I
would like to have a buffer abstraction layer that can support this in the
future.
was (Author: rxin):
Let's work together to get something for 1.2 or 1.3.
> 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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