Sunil G commented on YARN-3652:

Hi [~xinxianyin]
This will be a very helpful feature and thanks for working on same.

Few points:
1. *Throughput*: Are you mentioning about #events processed over a period of 
time? If so, how can we set the timeline by which throughput is calculated 
A clear indicator from this will be like we can predict possible end timeline 
for the pending events in dispatcher queue. Adding throughput with #no of 
pending events may give much more better indication about RM overload. 

2. However there are many events coming to scheduler, if possible a filter for 
the events based on events type may be helpful to give an accuracy for 
throughout and scheduling delay.

> A SchedulerMetrics may be need for evaluating the scheduler's performance
> -------------------------------------------------------------------------
>                 Key: YARN-3652
>                 URL: https://issues.apache.org/jira/browse/YARN-3652
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: resourcemanager, scheduler
>            Reporter: Xianyin Xin
> As discussed in YARN-3630, a {{SchedulerMetrics}} may be need for evaluating 
> the scheduler's performance. The performance indexes includes #events waiting 
> for being handled by scheduler, the throughput, the scheduling delay and/or 
> other indicators.

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