To get the total number of unique label pairs, you could get all label
names via /api/v1/labels, and then for each label name, you'd have to run
the query:
count(count by(<labelname>) ({<labelname>=~".+"}))
...and then sum up all those results together.
I don't think we have a handy way of getting the average bytes per label
pair, but you could again get all label names like above, and then manually
process the label pairs that appear in a query like this:
count by(<labelname>) ({<labelname>=~".+"})
You could write a small script / program that could do this via the API I
guess.
On Fri, Apr 17, 2020 at 10:41 AM Sohaib Omar <[email protected]> wrote:
> Hi all, I was going through this blog :
> https://www.robustperception.io/how-much-ram-does-prometheus-2-x-need-for-cardinality-and-ingestion
> to
> calculate Ram capacity for our Prometheus setup. I am bit confused about
> how to find *unique label pairs across all time-series *and *Avg byte per
> label pair. *Can someone help to find the formula for unique labels
> across all time-series and avg byte per label?
> Thanks
>
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