Awesome Julian, thanks! Works great.
On Monday, January 25, 2021 at 2:40:06 PM UTC+2 [email protected] wrote:
> 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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