prometheusQuery - ClickHouse Documentation

Evaluates a prometheus query using data from a TimeSeries table.

Syntax

prometheusQuery('db_name', 'time_series_table', 'promql_query', evaluation_time)
prometheusQuery(db_name.time_series_table, 'promql_query', evaluation_time)
prometheusQuery('time_series_table', 'promql_query', evaluation_time)

Arguments

db_name - The name of the database where a TimeSeries table is located.
time_series_table - The name of a TimeSeries table.
promql_query - A query written in PromQL syntax.
evaluation_time - The evaluation timestamp. To evaluate a query at the current time, use now()asevaluation_time`.

Returned value

The function can returns different columns depending on the result type of the query passed to parameter promql_query:

Result Type	Result Columns	Example
vector	tags Array(Tuple(String, String)), timestamp TimestampType, value ValueType	prometheusQuery(mytable, ‘up’)
matrix	tags Array(Tuple(String, String)), time_series Array(Tuple(TimestampType, ValueType))	prometheusQuery(mytable, ‘up[1m]‘)
scalar	scalar ValueType	prometheusQuery(mytable, ‘1h30m’)
string	string String	prometheusQuery(mytable, ‘“abc”’)

Supported PromQL Features

Selectors

Instant selectors, range selectors, label matchers (=, !=, =~, !~), offset modifiers, @ timestamp modifiers, and subqueries.

Functions

Category	Functions
Range	`rate`, `irate`, `delta`, `idelta`, `last_over_time`
Math	`abs`, `sgn`, `floor`, `ceil`, `sqrt`, `exp`, `ln`, `log2`, `log10`, `rad`, `deg`
Trig	`sin`, `cos`, `tan`, `asin`, `acos`, `atan`, `sinh`, `cosh`, `tanh`, `asinh`, `acosh`, `atanh`
DateTime	`day_of_week`, `day_of_month`, `days_in_month`, `day_of_year`, `minute`, `hour`, `month`, `year`
Type	`scalar`, `vector`
Histogram	`histogram_quantile`
Other	`time`, `pi`

Note: histogram_quantile uses linear interpolation on classic histogram buckets (identified by the le label). Native histograms are not yet supported, and the phi (quantile level) argument must currently be a constant scalar — expressions that vary per step such as histogram_quantile(time() / 1000, ...) are rejected with a NOT_IMPLEMENTED error.

Operators

All arithmetic (+, -, *, /, %, ^), comparison (==, !=, <, >, <=, >= with optional bool), and logical (and, or, unless) binary operators, with on()/ignoring() and group_left()/group_right() modifiers. Unary operators + and -.

Aggregation Operators

sum, avg, min, max, count, stddev, stdvar, group, quantile, topk, bottomk, limitk — with optional by() or without() modifiers. Not yet supported: count_values.

Example

SELECT * FROM prometheusQuery(mytable, 'rate(http_requests{job="prometheus"}[10m])[1h:10m]', now())

​Syntax

​Arguments

​Returned value

​Supported PromQL Features

​Selectors

​Functions

​Operators

​Aggregation Operators

​Example