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https://issues.apache.org/jira/browse/HDFS-16394?focusedWorklogId=700375&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-700375
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ASF GitHub Bot logged work on HDFS-16394:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Dec/21 01:47
Start Date: 23/Dec/21 01:47
Worklog Time Spent: 10m
Work Description: jianghuazhu commented on pull request #3822:
URL: https://github.com/apache/hadoop/pull/3822#issuecomment-999983435
Thank you very much @virajjasani .
Could you help review this pr, @ayushtkn @ferhui .
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Issue Time Tracking
-------------------
Worklog Id: (was: 700375)
Time Spent: 1h 10m (was: 1h)
> RPCMetrics increases the number of handlers in processing
> ---------------------------------------------------------
>
> Key: HDFS-16394
> URL: https://issues.apache.org/jira/browse/HDFS-16394
> Project: Hadoop HDFS
> Issue Type: Improvement
> Components: namenode
> Affects Versions: 2.9.2
> Reporter: JiangHua Zhu
> Assignee: JiangHua Zhu
> Priority: Major
> Labels: pull-request-available
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> When using RPC, we recorded a lot of useful information, such as Queue time,
> Processing time. These are very helpful.
> But we can't know how many handlers are actually working now (only those that
> handle Call), especially when the Call Queue is very high. This is also not
> conducive to us optimizing the cluster.
> It would be very helpful if we can see the number of handlers being processed
> in RPCMetrics.
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