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https://issues.apache.org/jira/browse/HADOOP-18288?focusedWorklogId=780647&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-780647
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ASF GitHub Bot logged work on HADOOP-18288:
-------------------------------------------

                Author: ASF GitHub Bot
            Created on: 12/Jun/22 18:28
            Start Date: 12/Jun/22 18:28
    Worklog Time Spent: 10m 
      Work Description: virajjasani commented on code in PR #4431:
URL: https://github.com/apache/hadoop/pull/4431#discussion_r895217032


##########
hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/fs/CommonConfigurationKeysPublic.java:
##########
@@ -1054,5 +1054,9 @@ public class CommonConfigurationKeysPublic {
   public static final String HADOOP_HTTP_IDLE_TIMEOUT_MS_KEY =
       "hadoop.http.idle_timeout.ms";
   public static final int HADOOP_HTTP_IDLE_TIMEOUT_MS_DEFAULT = 60000;
+
+  public static final String IPC_SERVER_METRICS_UPDATE_RUNNER_INTERVAL =

Review Comment:
   Done, thanks





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

    Worklog Id:     (was: 780647)
    Time Spent: 40m  (was: 0.5h)

> Total requests and total requests per sec served by RPC servers
> ---------------------------------------------------------------
>
>                 Key: HADOOP-18288
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18288
>             Project: Hadoop Common
>          Issue Type: Improvement
>            Reporter: Viraj Jasani
>            Assignee: Viraj Jasani
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> RPC Servers provide bunch of useful information like num of open connections, 
> slow requests, num of in-progress handlers, RPC processing time, queue time 
> etc, however so far it doesn't provide accumulation of all requests as well 
> as current snapshot of requests per second served by the server. Exposing 
> them would benefit from operational viewpoint in identifying how busy the 
> servers have been and how much load they are currently serving in the 
> presence of cluster wide high load.



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