Even without a subquery, a rule can include a range vector expression and 
then reduce it to an instant vector, e.g.

expr: avg_over_time(snmp_scrape_duration_seconds[5m]) >= 3

On Saturday 3 February 2024 at 16:04:56 UTC Ben Kochie wrote:

> All rule evaluations are instant queries. You do all the "reducer 
> functions" in PromQL itself.
>
> For example, you can use subquery syntax to do something like 
> `avg_over_time()`.
>
> On Sat, Feb 3, 2024 at 5:02 PM 'Andrew Dedesko' via Prometheus Users <
> [email protected]> wrote:
>
>> Hi,
>>
>> I'm wondering whether prometheus uses instant queries or range queries 
>> when evaluating alert expressions?  The context about why I'm asking might 
>> help clarify my question.
>>
>> I'm comparing Grafana Cloud's alerting functionality with prometheus.  
>> From Grafana Cloud we're querying Google Cloud Metrics with PromQL (it's 
>> Google's Monarch DB with a PromQL interface).  Grafana Cloud's alerting 
>> system takes your PromQL query and performs a *range query* against 
>> Google Cloud Metrics, returning multiple data points over the range you 
>> have selected (e.g. 10 minutes ago to now).  Then you need to choose a 
>> reducer function to turn the time series into an instant scalar (e.g. min, 
>> max, last, mean).
>>
>> Prometheus alerts don't seem to have an option for specifying a range and 
>> also don't have a reducer option.  So this leads me to believe prometheus 
>> uses instant queries to evaluate alert expressions.  But I'd like to know 
>> for sure.
>>
>> Thanks for reading!
>>
>> Here's the Grafana Cloud documentation on alert query ranges and reducers:
>>
>> https://grafana.com/docs/grafana/latest/alerting/alerting-rules/create-grafana-managed-rule/
>>
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>>
>

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