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https://issues.apache.org/jira/browse/HDFS-16316?focusedWorklogId=728329&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-728329
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ASF GitHub Bot logged work on HDFS-16316:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Feb/22 16:11
Start Date: 16/Feb/22 16:11
Worklog Time Spent: 10m
Work Description: jianghuazhu commented on pull request #3861:
URL: https://github.com/apache/hadoop/pull/3861#issuecomment-1041830218
Would you like to help review this PR, @ferhui @tomscut .
Thank you very much.
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Issue Time Tracking
-------------------
Worklog Id: (was: 728329)
Time Spent: 4h (was: 3h 50m)
> Improve DirectoryScanner: add regular file check related block
> --------------------------------------------------------------
>
> Key: HDFS-16316
> URL: https://issues.apache.org/jira/browse/HDFS-16316
> Project: Hadoop HDFS
> Issue Type: Bug
> Components: datanode
> Affects Versions: 2.9.2
> Reporter: JiangHua Zhu
> Assignee: JiangHua Zhu
> Priority: Major
> Labels: pull-request-available
> Attachments: screenshot-1.png, screenshot-2.png, screenshot-3.png,
> screenshot-4.png
>
> Time Spent: 4h
> Remaining Estimate: 0h
>
> Something unusual happened in the online environment.
> The DataNode is configured with 11 disks (${dfs.datanode.data.dir}). It is
> normal for 10 disks to calculate the used capacity, and the calculated value
> for the other 1 disk is much larger, which is very strange.
> This is about the live view on the NameNode:
> !screenshot-1.png!
> This is about the live view on the DataNode:
> !screenshot-2.png!
> We can look at the view on linux:
> !screenshot-3.png!
> There is a big gap here, regarding'/mnt/dfs/11/data'. This situation should
> be prohibited from happening.
> I found that there are some abnormal block files.
> There are wrong blk_xxxx.meta in some subdir directories, causing abnormal
> computing space.
> Here are some abnormal block files:
> !screenshot-4.png!
> Such files should not be used as normal blocks. They should be actively
> identified and filtered, which is good for cluster stability.
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