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https://issues.apache.org/jira/browse/HDFS-10335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15260873#comment-15260873
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Hadoop QA commented on HDFS-10335:
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|| Subsystem || Report/Notes ||
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12800935/HDFS-10335.000.patch |
| JIRA Issue | HDFS-10335 |
| Console output |
https://builds.apache.org/job/PreCommit-HDFS-Build/15309/console |
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This message was automatically generated.
> Mover$Processor#chooseTarget() always chooses the first matching target
> storage group
> -------------------------------------------------------------------------------------
>
> Key: HDFS-10335
> URL: https://issues.apache.org/jira/browse/HDFS-10335
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: balancer & mover
> Affects Versions: 2.8.0
> Reporter: Mingliang Liu
> Assignee: Mingliang Liu
> Priority: Critical
> Attachments: HDFS-10335.000.patch
>
>
> Currently the
> {{org.apache.hadoop.hdfs.server.mover.Mover$Processor#chooseTarget()}} always
> chooses the first matching target datanode from the candidate list. This may
> make the mover schedule a lot of task to a few of the datanodes (first
> several datanodes of the candidate list). The overall performance will suffer
> significantly from this because of the saturated network/disk usage.
> Specially, if the {{dfs.datanode.balance.max.concurrent.moves}} is set, the
> scheduled move task will be queued on a few of the storage group, regardless
> of other available storage groups. We need an algorithm which can distribute
> the move tasks approximately even across all the candidate target storage
> groups.
> Thanks [~szetszwo] for offline discussion.
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