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From "Ari Rabkin (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HADOOP-657) Free temporary space should be modelled better
Date Tue, 17 Jun 2008 23:38:45 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ari Rabkin updated HADOOP-657:
------------------------------

    Attachment:     (was: diskspaceest_v4.patch)

> Free temporary space should be modelled better
> ----------------------------------------------
>
>                 Key: HADOOP-657
>                 URL: https://issues.apache.org/jira/browse/HADOOP-657
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.17.0
>            Reporter: Owen O'Malley
>            Assignee: Ari Rabkin
>             Fix For: 0.19.0
>
>         Attachments: diskspaceest.patch, diskspaceest_v2.patch, diskspaceest_v3.patch
>
>
> Currently, there is a configurable size that must be free for a task tracker to accept
a new task. However, that isn't a very good model of what the task is likely to take. I'd
like to propose:
> Map tasks:  totalInputSize * conf.getFloat("map.output.growth.factor", 1.0) / numMaps
> Reduce tasks: totalInputSize * 2 * conf.getFloat("map.output.growth.factor", 1.0) / numReduces
> where totalInputSize is the size of all the maps inputs for the given job.
> To start a new task, 
>   newTaskAllocation + (sum over running tasks of (1.0 - done) * allocation) >= 
>        free disk * conf.getFloat("mapred.max.scratch.allocation", 0.90);
> So in English, we will model the expected sizes of tasks and only task tasks that should
leave us a 10% margin. With:
> map.output.growth.factor -- the relative size of the transient data relative to the map
inputs
> mapred.max.scratch.allocation -- the maximum amount of our disk we want to allocate to
tasks.

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