docs/en/sql-reference/table-functions/prometheusQuery.md
Evaluates a prometheus query using data from a TimeSeries table.
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)
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`.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"') |
SELECT * FROM prometheusQuery(mytable, 'rate(http_requests{job="prometheus"}[10m])[1h:10m]', now())