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PromQL Example Queries

Video Lecture

Example Queries Example Queries Example Queries


Now that we have a few scape targets, it is time to delve into queries.

The query language used in Prometheus is called PromQL (Prometheus Query Language).

The data can either be viewed as a graph, as tabled data, or in external systems such as Grafana, Zabbix and others.



This shows multiple time series results. 1 for each target,

we can filter for 1 target by including either the instance, or job labels


Regular Expressions

We can also use regular expressions. Go back to the console view and query for node_cpu_seconds_total We should get about 8 time series results. Lets filter for everything with mode containing irq


All regular expressions in Prometheus use the RE2 syntax.

Data Types


A numeric floating point value. Examples of scalars include -1, 12.34 and 12345678.9

Instant vector

A set of time series containing a single sample for each time series, all sharing the same timestamp scrape_duration_seconds{instance="localhost:9100"}

Range Vector

A set of time series containing a range of data points over time for each time series.

Return a whole range of scrape_duration_seconds (in this case 5 minutes) for the same vector, making it a range vector.

node_netstat_Tcp_InSegs{instance="localhost:9100"}[5m] node_netstat_Tcp_InSegs{instance="localhost:9100"}[1m] node_netstat_Tcp_InSegs{instance="localhost:9100"}[30s]

Press the graph, we get an error saying that expression type "range vector" for range query, must be Scalar or instant Vector

So when in the graph view, remove the [5m] range option.



Start with node_netstat_Tcp_InSegs

create a range vector covering 1m node_netstat_Tcp_InSegs[10m]

filter for the job prometheus node_netstat_Tcp_InSegs{job="prometheus"}[10m]

calculates the per-second average rate of increase of the time series in the range vector rate(node_netstat_Tcp_InSegs[10m])

sum the 2 values sum(go_threads)

Sub Queries

Start with this instant vector node_netstat_Tcp_InSegs{instance="localhost:9100"}

Convert it to a Range Vector and then convert it back to an instant vector using rate rate(node_netstat_Tcp_InSegs{instance="localhost:9100"}[1m])

Wrap it in the ceiling function ceil(rate(node_netstat_Tcp_InSegs{instance="localhost:9100"}[1m]))

Convert it to a range vector and get the per-second derivative of the time series deriv(ceil(rate(node_netstat_Tcp_InSegs{instance="localhost:9100"}[1m]))[1m:])

PromQL Functions

Google Regular Expression (RE2) Syntax