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https://issues.apache.org/jira/browse/HDFS-15382?focusedWorklogId=734347&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-734347
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ASF GitHub Bot logged work on HDFS-15382:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 01/Mar/22 05:06
Start Date: 01/Mar/22 05:06
Worklog Time Spent: 10m
Work Description: tomscut commented on pull request #3941:
URL: https://github.com/apache/hadoop/pull/3941#issuecomment-1055024182
Thanks @MingXiangLi and @Hexiaoqiao .
This is a great idea to introduce fine-grained locking for datanode. In
fact, we introduced original PR of
[HDFS-15380](https://issues.apache.org/jira/browse/HDFS-15180) and
[HDFS-15382](https://issues.apache.org/jira/browse/HDFS-15382) to
branch-3.1.0. Ran on our cold data cluster for a few months and it worked well.
The latest version looks good to me.
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Issue Time Tracking
-------------------
Worklog Id: (was: 734347)
Time Spent: 4h 20m (was: 4h 10m)
> Split FsDatasetImpl from blockpool lock to blockpool volume lock
> -----------------------------------------------------------------
>
> Key: HDFS-15382
> URL: https://issues.apache.org/jira/browse/HDFS-15382
> Project: Hadoop HDFS
> Issue Type: Improvement
> Reporter: Mingxiang Li
> Assignee: Mingxiang Li
> Priority: Major
> Labels: pull-request-available
> Attachments: HDFS-15382-sample.patch, image-2020-06-02-1.png,
> image-2020-06-03-1.png
>
> Time Spent: 4h 20m
> Remaining Estimate: 0h
>
> In HDFS-15180 we split lock to blockpool grain size.But when one volume is in
> heavy load and will block other request which in same blockpool but different
> volume.So we split lock to two leval to avoid this happend.And to improve
> datanode performance.
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