[jira] [Work logged] (HDFS-16386) Reduce DataNode load when FsDatasetAsyncDiskService is working

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HDFS-16386?focusedWorklogId=773971&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-773971 ]

ASF GitHub Bot logged work on HDFS-16386:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 24/May/22 11:12
            Start Date: 24/May/22 11:12
    Worklog Time Spent: 10m 
      Work Description: ZanderXu commented on PR #3806:
URL: https://github.com/apache/hadoop/pull/3806#issuecomment-1135779919

   @jianghuazhu I'm so sorry to discuss this issue again.
   Setting smaller MAX THREAD can reduce memory usage? [HDFS-16386](https://issues.apache.org/jira/browse/HDFS-16386)
   




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

    Worklog Id:     (was: 773971)
    Time Spent: 3h 20m  (was: 3h 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
>              Labels: pull-request-available
>             Fix For: 3.4.0, 3.2.3, 3.3.2, 3.2.4
>
>         Attachments: monitor.png
>
>          Time Spent: 3h 20m
>  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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