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https://issues.apache.org/jira/browse/HDFS-16371?focusedWorklogId=691079&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-691079
 ]

ASF GitHub Bot logged work on HDFS-16371:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 06/Dec/21 14:52
            Start Date: 06/Dec/21 14:52
    Worklog Time Spent: 10m 
      Work Description: tomscut opened a new pull request #3753:
URL: https://github.com/apache/hadoop/pull/3753


   JIRA: [HDFS-16371](https://issues.apache.org/jira/browse/HDFS-16371).
   
   Currently, the datanode can detect slow disks. See 
[HDFS-11461](https://issues.apache.org/jira/browse/HDFS-11461).
   
   And after [HDFS-16311](https://issues.apache.org/jira/browse/HDFS-16311), 
the slow disks metrics we collected is more accurate.
   
   So we can exclude these slow disks according to some rules when choosing 
volume. This will prevents some slow disks from affecting the throughput of the 
whole datanode.


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Issue Time Tracking
-------------------

            Worklog Id:     (was: 691079)
    Remaining Estimate: 0h
            Time Spent: 10m

> Exclude slow disks when choosing volume
> ---------------------------------------
>
>                 Key: HDFS-16371
>                 URL: https://issues.apache.org/jira/browse/HDFS-16371
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: tomscut
>            Assignee: tomscut
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> Currently, the datanode can detect slow disks. See 
> [HDFS-11461|https://issues.apache.org/jira/browse/HDFS-11461].
> And after 
> [HDFS-16311|https://issues.apache.org/jira/browse/HDFS-16311[],|http://example.com]%2C/]
>  the slow disk information we collected is more accurate.
> So we can exclude these slow disks according to some rules when choosing 
> volume. This will prevents some slow disks from affecting the throughput of 
> the whole datanode.



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