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https://issues.apache.org/jira/browse/HDFS-16610?focusedWorklogId=776566&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-776566
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ASF GitHub Bot logged work on HDFS-16610:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 31/May/22 21:30
            Start Date: 31/May/22 21:30
    Worklog Time Spent: 10m 
      Work Description: sodonnel commented on PR #4384:
URL: https://github.com/apache/hadoop/pull/4384#issuecomment-1142657950

   The native client is failing to build, but I cannot see how this change 
could cause that. I wonder if there is something else going on, or some other 
change has broken the build recently?
   
   ```
   [INFO] Reactor Summary for Apache Hadoop HDFS Project 3.4.0-SNAPSHOT:
   [INFO] 
   [INFO] Apache Hadoop HDFS Client .......................... SUCCESS [ 34.048 
s]
   [INFO] Apache Hadoop HDFS ................................. SUCCESS [ 57.213 
s]
   [INFO] Apache Hadoop HDFS Native Client ................... FAILURE [  7.360 
s]
   ```




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

    Worklog Id:     (was: 776566)
    Time Spent: 1h  (was: 50m)

> Make fsck read timeout configurable
> -----------------------------------
>
>                 Key: HDFS-16610
>                 URL: https://issues.apache.org/jira/browse/HDFS-16610
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: hdfs-client
>            Reporter: Stephen O'Donnell
>            Assignee: Stephen O'Donnell
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 1h
>  Remaining Estimate: 0h
>
> In a cluster with a lot of small files, we encountered a case where fsck was 
> very slow. I believe it is due to contention with many other threads reading 
> / writing data on the cluster.
> Sometimes fsck does not report any progress for more than 60 seconds and the 
> client times out. Currently the connect and read timeout are hardcoded to 60 
> seconds. This change is to make them configurable.



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