Thanks Matthias. It clears lots of things..

On Tue, Jan 12, 2021 at 6:04 PM Matthias Rampke <[email protected]>
wrote:

> If you keep adding up the time the function has taken across all
> invocations, that is also a counter. You can get the average run time over,
> say, 5 minutes by tracking
>
> rate(function_run_time_sum[5m]) / rate(function_run_time_count[5m])
>
> Using native Prometheus clients, you get both if you use either a summary
> or a histogram and .observe() each invocation time as it happens.
>
> /MR
>
>
> On Tue, Jan 12, 2021 at 6:37 AM Manish G <[email protected]>
> wrote:
>
>> Hi All,
>>
>> We have some flink metrics configured for our flatmap functions. We have
>> basically a gauge which keeps track of total time function has taken so far
>> and a counter which keeps track of number of times function has been
>> invoked.
>>
>> We want to capture average time taken by the function in grafana panel.
>> Can we use above 2 metrics for this purpose(gauge/counter) or should we
>> use what is explained here
>> <https://ci.apache.org/projects/flink/flink-docs-stable/ops/metrics.html#latency-tracking>
>> .
>>
>> WIth regards
>>
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>>
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