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Posted to issues@spark.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/11/07 02:56:33 UTC
[jira] [Commented] (SPARK-4290) Provide an equivalent functionality
of distributed cache as MR does
[ https://issues.apache.org/jira/browse/SPARK-4290?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14201421#comment-14201421 ]
Xuefu Zhang commented on SPARK-4290:
------------------------------------
CC: [~sandyr], [~rxin]
> Provide an equivalent functionality of distributed cache as MR does
> -------------------------------------------------------------------
>
> Key: SPARK-4290
> URL: https://issues.apache.org/jira/browse/SPARK-4290
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Xuefu Zhang
>
> MapReduce allows client to specify files to be put in distributed cache for a job and the framework guarentees that the file will be available in local file system of a node where a task of the job runs and before the tasks actually starts. While this might be achieved with Yarn via hacks, it's not available in other clusters. It would be nice to have such an equivalent functionality like this in Spark.
> It would also complement Spark's broadcast variable, which may not be suitable in certain scenarios.
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