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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