You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/11/25 04:29:12 UTC
[jira] [Updated] (SPARK-1476) 2GB limit in spark for blocks
[ https://issues.apache.org/jira/browse/SPARK-1476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell updated SPARK-1476:
-----------------------------------
Target Version/s: (was: 1.2.0)
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org