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https://issues.apache.org/jira/browse/CALCITE-642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15118333#comment-15118333
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Josh Elser commented on CALCITE-642:
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Teaser:
{noformat}
16/01/26 19:16:56 INFO PhoenixQueryServer.Metrics: type=TIMER,
name=AvaticaProtobufHandler.Handler.RequestTimings, count=28400,
min=0.33899999999999997, max=177.731, mean=1.5453050391570862,
stddev=12.124410598888346, median=0.41, p75=0.428, p95=0.602, p98=0.819,
p99=4.987, p999=177.731, mean_rate=35.50429362298856, m1=82.95682251176358,
m5=55.21720112587369, m15=25.688667272597616, rate_unit=events/second,
duration_unit=milliseconds
16/01/26 19:16:56 INFO PhoenixQueryServer.Metrics: type=TIMER,
name=ProtobufHandler.Handler.Serialization, count=56800,
min=0.041999999999999996, max=3.8779999999999997, mean=0.11241678160721483,
stddev=0.18166755227525663, median=0.13899999999999998, p75=0.147, p95=0.181,
p98=0.22399999999999998, p99=0.238, p999=3.501, mean_rate=71.00847681444093,
m1=165.91451214958184, m5=110.43436338590747, m15=51.37730672715273,
rate_unit=events/second, duration_unit=milliseconds
{noformat}
What I have here is granular timings at the Jetty handler level
(Handler.RequestTImings) and serialization timings around the protobuf
serde'ing (Handler.Serialization).
I'm not sure how useful the rates are, but the stats are great. See can easily
see things like the longest request and how good/bad the tail is as we approach
that max. I hope to get a patch up this week.
> Avatica server metrics
> ----------------------
>
> Key: CALCITE-642
> URL: https://issues.apache.org/jira/browse/CALCITE-642
> Project: Calcite
> Issue Type: Improvement
> Components: avatica
> Reporter: Nick Dimiduk
> Assignee: Josh Elser
> Labels: avatica
> Fix For: next
>
>
> Along the same lines as CALCITE-641, avatica server should track some basic
> metrics. We can expose them through a "standard" API (such as Hadoop metrics,
> or Dropwizard metrics), and include them on some interval in the service log.
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