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https://issues.apache.org/jira/browse/HBASE-12911?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14730048#comment-14730048
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stack commented on HBASE-12911:
-------------------------------

I love this effort. 

Looking at the PNG, what is the "tag." prefix in client-side metrics.

What is batchPool*? If I hover over the metiric, there is a description.

Can we count threads in client metrics?

So, having trouble following the client side jmx bean hierarchy. When do the 
rpc metrics show up? Clients will list each remote server they connect too?





> Client-side metrics
> -------------------
>
>                 Key: HBASE-12911
>                 URL: https://issues.apache.org/jira/browse/HBASE-12911
>             Project: HBase
>          Issue Type: Brainstorming
>          Components: Client, Performance, Usability
>            Reporter: Nick Dimiduk
>            Assignee: Nick Dimiduk
>             Fix For: 2.0.0, 1.3.0
>
>         Attachments: 0001-HBASE-12911-Client-side-metrics.patch, 
> 0001-HBASE-12911-Client-side-metrics.patch, client metrics RS-Master.jpg, 
> client metrics client.jpg, connection attributes.jpg, ltt.jpg, standalone.jpg
>
>
> There's very little visibility into the hbase client. Folks who care to add 
> some kind of metrics collection end up wrapping Table method invocations with 
> {{System.currentTimeMillis()}}. For a crude example of this, have a look at 
> what I did in {{PerformanceEvaluation}} for exposing requests latencies up to 
> {{IntegrationTestRegionReplicaPerf}}. The client is quite complex, there's a 
> lot going on under the hood that is impossible to see right now without a 
> profiler. Being a crucial part of the performance of this distributed system, 
> we should have deeper visibility into the client's function.
> I'm not sure that wiring into the hadoop metrics system is the right choice 
> because the client is often embedded as a library in a user's application. We 
> should have integration with our metrics tools so that, i.e., a client 
> embedded in a coprocessor can report metrics through the usual RS channels, 
> or a client used in a MR job can do the same.
> I would propose an interface-based system with pluggable implementations. Out 
> of the box we'd include a hadoop-metrics implementation and one other, 
> possibly [dropwizard/metrics|https://github.com/dropwizard/metrics].
> Thoughts?



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