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The way that we expose the metrics through a gauge is a bit complicated. I 
think a simpler solution is to do this through a meter. Note that meter is just 
the total record values divided by a time window. If we record each absolute 
utilization time in each loop, the value the meter calculates essentially gives 
us the utilization ratio. One problem is that meter.record only takes a long so 
we have to be careful not to lose precision. What we can do is to configure a 
meter to use the nano-sec granularity. We then record absolute utilization time 
/ # thread. This gives us the avg utilization ratio for the threadpool. It 
shouldn't lose precision since it's measured in nano-secs. For the network 
threadpool, in addition to the avg for the threadpool, it may be useful to 
report the utilization at per thread level too.


core/src/main/scala/kafka/network/RequestChannel.scala
<https://reviews.apache.org/r/20034/#comment72387>

    Do we still need this?



core/src/main/scala/kafka/network/SocketServer.scala
<https://reviews.apache.org/r/20034/#comment72385>

    We need to measure this in nano sec. Millsec is to coarse a granularity to 
measure a tight loop.



core/src/main/scala/kafka/network/SocketServer.scala
<https://reviews.apache.org/r/20034/#comment72386>

    Idle time should just be the time in doing socket select.


- Jun Rao


On April 4, 2014, 5:44 p.m., Guozhang Wang wrote:
> 
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> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/20034/
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> 
> (Updated April 4, 2014, 5:44 p.m.)
> 
> 
> Review request for kafka.
> 
> 
> Bugs: KAFKA-1353
>     https://issues.apache.org/jira/browse/KAFKA-1353
> 
> 
> Repository: kafka
> 
> 
> Description
> -------
> 
> KAFKA-1353.v1
> 
> 
> Diffs
> -----
> 
>   core/src/main/scala/kafka/network/RequestChannel.scala 
> a6ec970d72fc8adc56bc6e200d1ff5bbf0d2b748 
>   core/src/main/scala/kafka/network/SocketServer.scala 
> dcfca3f4156957b0006ba9bfdeca848c115825a8 
>   core/src/main/scala/kafka/server/KafkaRequestHandler.scala 
> 871212bf9110ca95ca7d2109be070f69d0f90247 
> 
> Diff: https://reviews.apache.org/r/20034/diff/
> 
> 
> Testing
> -------
> 
> 
> Thanks,
> 
> Guozhang Wang
> 
>

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