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https://issues.apache.org/jira/browse/HDFS-10967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16104209#comment-16104209
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Hadoop QA commented on HDFS-10967:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue}  0m  
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red}  0m  6s{color} 
| {color:red} HDFS-10967 does not apply to trunk. Rebase required? Wrong 
Branch? See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | HDFS-10967 |
| JIRA Patch URL | 
https://issues.apache.org/jira/secure/attachment/12832548/HDFS-10967.03.patch |
| Console output | 
https://builds.apache.org/job/PreCommit-HDFS-Build/20450/console |
| Powered by | Apache Yetus 0.6.0-SNAPSHOT   http://yetus.apache.org |


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> Add configuration for BlockPlacementPolicy to avoid near-full DataNodes
> -----------------------------------------------------------------------
>
>                 Key: HDFS-10967
>                 URL: https://issues.apache.org/jira/browse/HDFS-10967
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: namenode
>            Reporter: Zhe Zhang
>            Assignee: Zhe Zhang
>              Labels: balancer
>         Attachments: HDFS-10967.00.patch, HDFS-10967.01.patch, 
> HDFS-10967.02.patch, HDFS-10967.03.patch
>
>
> Large production clusters are likely to have heterogeneous nodes in terms of 
> storage capacity, memory, and CPU cores. It is not always possible to 
> proportionally ingest data into DataNodes based on their remaining storage 
> capacity. Therefore it's possible for a subset of DataNodes to be much closer 
> to full capacity than the rest.
> This heterogeneity is most likely rack-by-rack -- i.e. _m_ whole racks of 
> low-storage nodes and _n_ whole racks of high-storage nodes. So It'd be very 
> useful if we can lower the chance for those near-full DataNodes to become 
> destinations for the 2nd and 3rd replicas.



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