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https://issues.apache.org/jira/browse/HDFS-16158?focusedWorklogId=636487&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-636487
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ASF GitHub Bot logged work on HDFS-16158:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Aug/21 15:25
Start Date: 10/Aug/21 15:25
Worklog Time Spent: 10m
Work Description: tomscut opened a new pull request #3288:
URL: https://github.com/apache/hadoop/pull/3288
JIRA: [HDFS-16158](https://issues.apache.org/jira/browse/HDFS-16158)
Discover datanodes with unbalanced volume usage by the standard deviation
In some scenarios, we may cause unbalanced datanode disk usage:
1. Repair the damaged disk and make it online again.
2. Add disks to some Datanodes.
3. Some disks are damaged, resulting in slow data writing.
4. Use some custom volume choosing policies.
In the case of unbalanced disk usage, a sudden increase in datanode write
traffic may result in busy disk I/O with low volume usage, resulting in
decreased throughput across datanodes.
In this case, we need to find these nodes in time to do diskBalance, or
other processing. Based on the volume usage of each datanode, we can calculate
the standard deviation of the volume usage. The more unbalanced the volume, the
higher the standard deviation.
To prevent the namenode from being too busy, we can calculate the standard
variance on the datanode side, transmit it to the namenode through heartbeat,
and display the result on the Web of namenode. We can then sort directly to
find the nodes on the Web where the volumes usages are unbalanced.
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Issue Time Tracking
-------------------
Worklog Id: (was: 636487)
Remaining Estimate: 0h
Time Spent: 10m
> Discover datanodes with unbalanced volume usage by the standard deviation
> --------------------------------------------------------------------------
>
> Key: HDFS-16158
> URL: https://issues.apache.org/jira/browse/HDFS-16158
> Project: Hadoop HDFS
> Issue Type: New Feature
> Reporter: tomscut
> Assignee: tomscut
> Priority: Major
> Attachments: namenode-web.jpg
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Discover datanodes with unbalanced volume usage by the standard deviation
> In some scenarios, we may cause unbalanced datanode disk usage:
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> In this case, we need to find these nodes in time to do diskBalance, or other
> processing. Based on the volume usage of each datanode, we can calculate the
> standard deviation of the volume usage. The more unbalanced the volume, the
> higher the standard deviation.
> To prevent the namenode from being too busy, we can calculate the standard
> variance on the datanode side, transmit it to the namenode through heartbeat,
> and display the result on the Web of namenode. We can then sort directly to
> find the nodes on the Web where the volumes usages are unbalanced.
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