Hi,
The problem you're running into is that a binary operator (division, in
your case) removes the metric name (because the sample value no longer has
that same metric name meaning after the transformation), but the metric
name is the only distinguishing label in your case on these series. You
could work around that by first copying the metric name to a non-special
label, like "metric":
label_join(count by (__name__) ({job="kubernetes-pods", app="scylla"}),
"metric", "", "__name__") / 70
Regards,
Julius
On Sun, Jan 24, 2021 at 10:37 PM Dan S <[email protected]> wrote:
> Hi,
>
> Not sure what I'm doing wrong when trying to divide
>
> *count by (__name__) ({job="kubernetes-pods", app="scylla"})*
>
> scrape_series_added{} 70
> scrape_samples_scraped{} 70
> scylla_node_operation_mode{} 70
> scrape_samples_post_metric_relabeling{} 70
> scrape_duration_seconds{} 70
> up{} 70
>
> When I try to divide by 70 (to find number of time series per pod), I get
> an error:
>
> *count by (__name__) ({job="kubernetes-pods", app="scylla"}) / 70*
> *Error executing query: vector cannot contain metrics with the same
> labelset*
>
> how can I get a basic divide working? so that I end up with something like:
>
> scrape_series_added{} 1
> scrape_samples_scraped{} 1
> scylla_node_operation_mode{} 1
> scrape_samples_post_metric_relabeling{} 1
> scrape_duration_seconds{} 1
> up{} 1
>
> Basically I want to know exactly how many time series per metric each
> "app" is generating per pod
>
> Thanks
> Dan
>
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--
Julius Volz
PromLabs - promlabs.com
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