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From "Owen O'Malley (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MAPREDUCE-1434) Dynamic add input for one job
Date Thu, 20 Jan 2011 03:26:04 GMT

     [ https://issues.apache.org/jira/browse/MAPREDUCE-1434?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Owen O'Malley updated MAPREDUCE-1434:
-------------------------------------

    Fix Version/s:     (was: 0.20.3)

> Dynamic add input for one job
> -----------------------------
>
>                 Key: MAPREDUCE-1434
>                 URL: https://issues.apache.org/jira/browse/MAPREDUCE-1434
>             Project: Hadoop Map/Reduce
>          Issue Type: New Feature
>    Affects Versions: 0.20.3
>            Reporter: Xing Shi
>         Attachments: dynamic_input-v1.patch
>
>
> Always we should firstly upload the data to hdfs, then we can analize the data using
hadoop mapreduce.
> Sometimes, the upload process takes long time. So if we can add input during one job,
the time can be saved.
> WHAT?
> Client:
> a) hadoop job -add-input jobId inputFormat ...
> Add the input to jobid
> b) hadoop job -add-input done
> Tell the JobTracker, the input has been prepared over.
> c) hadoop job -add-input status jobid
> Show how many input the jobid has.
> HOWTO?
> Mainly, I think we should do three things:
> 1. JobClinet: here JobClient should support add input to a job, indeed, JobClient generate
the split, and submit to JobTracker.
> 2. JobTracker: JobTracker support addInput, and add the new tasks to the original mapTasks.
Because the uploaded data will be 
> processed quickly, so it also should update the scheduler to support pending a map task
till Client tells the Job input done.
> 3. Reducer: the reducer should also update the mapNums, so it will shuffle right.
> This is the rough idea, and I will update it .

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