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https://issues.apache.org/jira/browse/HDFS-16394?focusedWorklogId=699816&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-699816
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ASF GitHub Bot logged work on HDFS-16394:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Dec/21 06:30
Start Date: 22/Dec/21 06:30
Worklog Time Spent: 10m
Work Description: jianghuazhu opened a new pull request #3822:
URL: https://github.com/apache/hadoop/pull/3822
### Description of PR
Now we can't see how many Handlers in RPC are actually being used. It would
be very helpful to see this information directly through RPCMetrics.
The purpose of this pr is to solve this problem.
Details: HDFS-16394
### How was this patch tested?
This needs to be tested.
When accessing RPC, you need to know how many handlers are being used based
on RPCMetrics.
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Issue Time Tracking
-------------------
Worklog Id: (was: 699816)
Remaining Estimate: 0h
Time Spent: 10m
> 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: 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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