... although that doesn't help you with your count-by-arbitrary-tag
problem, sorry. For that as Brian B says, you need separate series:
vm_tag{name="AAAAA",tag="big"} 1
vm_tag{name="AAAAA",tag="azure"} 1
On Thursday, 26 May 2022 at 16:57:41 UTC+1 Brian Candler wrote:
> Or separate the tags into individual labels:
>
> vm_info{name="AAAAA",tag_big="1",tag_azure="1"} 1
>
> On Thursday, 26 May 2022 at 13:51:43 UTC+1 Brian Brazil wrote:
>
>> On Thu, 26 May 2022 at 13:42, Javier Mendiara Cañardo <[email protected]>
>> wrote:
>>
>>> Hi,
>>>
>>> I have an info metric with all possible tag values
>>> tag_info{tag="small"} 1
>>> tag_info{tag="medium"} 1
>>> tag_info{tag="big"} 1
>>> tag_info{tag="azure"} 1
>>> tag_info{tag="aws"} 1
>>>
>>> I have an info metric with a multi-value label called "tags", as a csv
>>> with commas envelope
>>> vm_info{name="AAAAA" tags=",big,azure,"} 1
>>> vm_info{name="BBBBB" tags=",big,aws,"} 1
>>> vm_info{name="CCCCC" tags=",small,aws,"} 1
>>>
>>> I want to get how many machines have that specific tag:
>>> {tag="big"} 2
>>> {tag="small"} 1
>>> {tag="azure"} 1
>>> {tag="aws"} 2
>>>
>>> The tags values are not known when coding the query
>>>
>>> Any hints? It's a kind-of label_split missing function.
>>>
>>
>> I don't believe this is possible with PromQL in a general form. You can
>> figure out the value for a single known tag with a regex matcher, but not
>> in the general case. Such a function would also be a footgun, as it could
>> greatly increase the cardinality of the output relative to the input. As it
>> stands you can only increase input to output cardinality via
>> absent/absent_over_time, and that's only from 0 to 1.
>>
>> Thanks!
>>>
>>> PD: I have under the control the exporter to make a metrics refactor.
>>>
>>
>> This is what you'd need to do. You want a separate gauge metric with a
>> sample per tag present.
>>
>> Brian
>>
>>
>>>
>>>
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>>> .
>>>
>>
>>
>> --
>> Brian Brazil
>> www.robustperception.io
>>
>
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