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https://issues.apache.org/jira/browse/HDFS-16386?focusedWorklogId=697167&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-697167
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ASF GitHub Bot logged work on HDFS-16386:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Dec/21 10:00
Start Date: 16/Dec/21 10:00
Worklog Time Spent: 10m
Work Description: jianghuazhu opened a new pull request #3806:
URL: https://github.com/apache/hadoop/pull/3806
### Description of PR
When FsDatasetAsyncDiskService is working, if the DataNode has a lot of
disks, this will cause a higher load on the DataNode, for example, a lot of
memory is used.
This phenomenon will affect the stability of the DataNode.
Details: HDFS-16386
### How was this patch tested?
For testing, there is little pressure.
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Issue Time Tracking
-------------------
Worklog Id: (was: 697167)
Remaining Estimate: 0h
Time Spent: 10m
> Reduce DataNode load when FsDatasetAsyncDiskService is working
> --------------------------------------------------------------
>
> Key: HDFS-16386
> URL: https://issues.apache.org/jira/browse/HDFS-16386
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: datanode
> Affects Versions: 2.9.2
> Reporter: JiangHua Zhu
> Assignee: JiangHua Zhu
> Priority: Major
> Attachments: monitor.png
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Our DataNode node has 36 disks. When FsDatasetAsyncDiskService is working, it
> will cause a high load on the DataNode.
> Here are some monitoring related to memory:
> !monitor.png!
> Since each disk deletes the block asynchronously, and each thread allows 4
> threads to work,
> This will cause some troubles to the DataNode, such as increased cpu and
> increased memory.
> We should appropriately reduce the number of jobs of the total thread so that
> the DataNode can work better.
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