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Posted to hdfs-issues@hadoop.apache.org by "Arpit Agarwal (JIRA)" <ji...@apache.org> on 2014/12/18 02:20:15 UTC
[jira] [Commented] (HDFS-7461) Reduce impact of laggards on Mover
[ https://issues.apache.org/jira/browse/HDFS-7461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14250945#comment-14250945 ]
Arpit Agarwal commented on HDFS-7461:
-------------------------------------
Hi Benoy, do you have a prototype/rough patch?
> Reduce impact of laggards on Mover
> ----------------------------------
>
> Key: HDFS-7461
> URL: https://issues.apache.org/jira/browse/HDFS-7461
> Project: Hadoop HDFS
> Issue Type: Sub-task
> Components: balancer & mover
> Affects Versions: 2.6.0
> Reporter: Benoy Antony
> Assignee: Benoy Antony
> Attachments: continuousmovement.pdf
>
>
> The current Mover logic is as follows :
> {code}
> for (Path target : targetPaths) {
> hasRemaining |= processPath(target.toUri().getPath());
> }
> // wait for pending move to finish and retry the failed migration
> hasRemaining |= Dispatcher.waitForMoveCompletion(storages.targets.values());
> {code}
> The _processPath_ will schedule moves, but it is bounded by the number of concurrent moves (default is 5 per node} . Once block moves are scheduled, it will wait for ALL scheduled moves to finish in _waitForMoveCompletion_.
> One slow move could keep the Mover idle for a long time.
> It will be a performance improvement to schedule the next moves as soon as any (source , target) slot is available instead of waiting for all the scheduled moves to finish.
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