Finding number of Unique Label Pairs across all time series.

[Sohaib Omar]

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

[Julius Volz]

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 <soha...@gmail.com> 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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[Sohaib Omar]

Awesome, thanks!