[jira] [Commented] (MAPREDUCE-453) Provide more flexibility in the way tasks are run

["Harsh J (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MAPREDUCE-453?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13393448#comment-13393448 ] 

Harsh J commented on MAPREDUCE-453:
-----------------------------------

And just for ref, MR2 details can be drilled down from via MAPREDUCE-279.
                
> Provide more flexibility in the way tasks are run
> -------------------------------------------------
>
>                 Key: MAPREDUCE-453
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-453
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>            Reporter: Brice Arnould
>            Assignee: Brice Arnould
>            Priority: Minor
>         Attachments: TaskWrapper_v0.patch, userBasedInsulator.sh
>
>
> *The aim*
> With [HADOOP-3421] speaking about sharing a cluster among more than one organization (so potentially with non-cooperative users), and posts on the ML speaking about virtualization and the ability to re-use the TaskTracker's VM to run new tasks, it could be useful for admins to choose the way TaskRunners run their children. 
> More specifically, it could be useful to provide a way to imprison a Task in its working directory, or in a virtual machine.
> In some cases, reusing the VM might be useful, since it seems that this feature is really wanted ([HADOOP-249]).
> *Concretely*
> What I propose is a new class, called called SeperateVMTaskWrapper which contains the current logic for running tasks in another JVM. This class extends another, called TaskWrapper, which could be inherited to provide new ways of running tasks.
> As part of this issue I would also like to provide two other TaskWrappers : the first would run the tasks as Thread of the TaskRunner's VM (if it is possible without too much changes), the second would use a fixed pool of local unix accounts to insulate tasks from each others (so potentially non-cooperating users will be hable to share a cluster, as described in [HADOOP-3421]).

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