Hi Yongjik!

Try using `quantile_over_time` instead of `quantile`. See
https://prometheus.io/docs/prometheus/latest/querying/functions/#aggregation_over_time


On Fri, Feb 14, 2020 at 9:06 PM 'Yongjik Kim' via Prometheus Users <
[email protected]> wrote:

> Hi,
>
> I have a problem with aggregation. I want to get the CPU usage of a set of
> jobs (each with potentially different start/stop time), over the past week,
> and then get 95% percentile among these values.
>
> So, I can get the raw data points with this:
>
> > rate(cpu_usage{name="myjob"}[5m])[1d:5m]
>
> cpu_usage is an accumulative series (counter?) which records "the amount
> of CPU resource this job has used since it started."  So, as far as I
> understand, this gives me a nice list of "average CPU usage for each
> 5-minute interval, for every job and for every interval the job was alive."
>
> So far so good, but then how do I get the 95% percentile of *all these
> values*?
>
> If I try this:
>
> > quantile(0.95, rate(cpu_usage{name="myjob"}[5m])[1d:5m])
>
> I get: "Error executing query: invalid parameter 'query': parse error at
> char 147: expected type instant vector in aggregation expression, got range
> vector"
>
> I can make it output *some number* by removing [1d:5m], but that's not
> what I want. I don't need 95% percentile at the current instant, but over
> the past week.
>
> Any way to make it work without piping the result through a custom script?
>
> Thanks,
> - Yongjik Kim
>
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>


-- 
Best Regards,

Aliaksandr

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