Prometheus 查询特定 label 随时间的平均值

Question

I need to query a metric and find out the average value of the metric over a period of 24hrs. But using using avg_over_time directly on the metric won't work. There is a specific ipaddr label. The average has to be grouped by each ipaddr . Now, grouping is not allowed in avg_over_time . In such case, how can I find out the average of the metric over 24 hrs for each ipaddr ?

The metric and its values are like this

K_utilization{ifName="Ds12:1/0/30",ipaddr="10.1.109.54",node="worker"}  3.5
K_utilization{ifName="Ds65:1/0/4",ipaddr="10.1.5.50",node="worker"} 13.2
K_utilization{ifName="Ds26:1/0/8",ipaddr="10.1.123.58",node="worker"}   3.2
K_utilization{ifName="Ds69:0/0/10",ipaddr="10.1.115.55",node="worker"}  6.2
K_utilization{ifName="Ds71:0/0/21",ipaddr="10.1.25.51",node="worker"}   13.5

Answer 1

The avg_over_time function expects a range vector, which means that you could (if I understood correctly) use subquery like:

avg_over_time(K_utilization[1h:5m])

This will look at the K_utilization metric for the last 1h at a 5m resolution, the result should contain all labels from the metric.

You could also aggregate the metric in the subquery by the ipaddr label with a sum subquery and then calculate the avg_over_time :

avg_over_time(sum by (ipaddr) (K_utilization)[1h:5m])

More info about Prometheus subqueries 🔖

Answer 2

The following PromQL query returns the average K_utilization over the last 24 hours grouped by ipaddr :

sum(sum_over_time(K_utilization[24h])) by (ipaddr)
/
sum(count_over_time(K_utilization[24h])) by (ipaddr)

It uses sum_over_time andcount_over_time functions for calculating the average value.

This query is roughly equivalent to the following SQL:

SELECT ipaddr, avg(value)
FROM K_utilization
WHERE timestamp > now() - interval '24 hours'
GROUP BY ipaddr

It is assumed that the K_utilization table contains the following fields:

ipaddr string
timestamp int
value float

Answer 3

The following PromQL query returns the average K_utilization over the last 24 hours grouped by ipaddr:

sum(sum_over_time(K_utilization[24h])) by (ipaddr) / sum(count_over_time(K_utilization[24h])) by (ipaddr)

This works for me. I have the same question as OP on how to group the queries with avg_over_time promql function. Applying the sum by after aws_over_time did it.