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From "Runping Qi (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-2676) Maintaining cluster information across multiple job submissions
Date Thu, 21 Aug 2008 16:26:44 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-2676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12624415#action_12624415
] 

Runping Qi commented on HADOOP-2676:
------------------------------------


Intelligence should be built into the task tracker.
It should decide whether to ask for tasks to run based on its health state (memory availability,
tmp disk space, network connectivity, loads, and other diagnostic information 
such as the history of previous failed tasks).
 

> Maintaining cluster information across multiple job submissions
> ---------------------------------------------------------------
>
>                 Key: HADOOP-2676
>                 URL: https://issues.apache.org/jira/browse/HADOOP-2676
>             Project: Hadoop Core
>          Issue Type: Improvement
>          Components: mapred
>    Affects Versions: 0.15.2
>            Reporter: Lohit Vijayarenu
>
> Could we have a way to maintain cluster state across multiple job submissions.
> Consider a scenario where we run multiple jobs in iteration on a cluster back to back.
The nature of the job is same, but input/output might differ. 
> Now, if a node is blacklisted in one iteration of job run, it would be useful to maintain
this information and blacklist this node for next iteration of job as well. 
> Another situation which we saw is, if there are failures less than mapred.map.max.attempts
in each iterations few nodes are never marked for blacklisting. But in we consider two or
three iterations, these nodes fail all jobs and should be taken out of cluster. This hampers
overall performance of the job.
> Could have have config variables something which matches a job type (provided by user)
and maintains the cluster status for that job type alone? 

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