Skip to main content

Export Prometheus metrics generated from SQL queries.

Project description

# query-exporter - Export Prometheus metrics from SQL queries

[![Latest Version](](
[![Build Status](](
[![Coverage Status](](

`query-exporter` is a [Prometheus]( exporter which
allows collecting metrics from database queries, at specified time intervals.

It currently supports [PostgreSQL]( as a backend

Each query can be run on multiple databases, and update multiple metrics.

The application is called with a configuration file that looks like this:


dsn: dbname=sampledb1
dsn: dbname=sampledb2

type: gauge
description: A sample gauge
type: summary
description: A sample summary
type: histogram
description: A sample histogram
buckets: [10, 20, 50, 100, 1000]

interval: 30
databases: [db1]
metrics: [metric1]
sql: SELECT random() * 100
interval: 1m
databases: [db1, db2]
metrics: [metric2, metric3]
sql: SELECT random() * 1000, random() * 10000


The `metrics` list in the query configuration must match values returned by the
query defined in `sql`.

The `interval` value is interpreted as seconds if no suffix is specified; valid
suffix are `s`, `m`, `h`, `d`. Only integer values can be specified.

Queries will usually return a single row, but multiple rows are supported, and
each row will cause an update of the related metrics.

For the configuration above, exported metrics look like this:

# HELP metric1 A sample gauge
# TYPE metric1 gauge
metric1{database="db1"} 13.8291064184159
# HELP metric2 A sample summary
# TYPE metric2 summary
metric2_count{database="db1"} 1.0
metric2_sum{database="db1"} 889.48124460876
metric2_count{database="db2"} 1.0
metric2_sum{database="db2"} 665.63375480473
# HELP metric3 A sample histogram
# TYPE metric3 histogram
metric3_bucket{database="db1",le="10.0"} 0.0
metric3_bucket{database="db1",le="20.0"} 0.0
metric3_bucket{database="db1",le="50.0"} 0.0
metric3_bucket{database="db1",le="100.0"} 0.0
metric3_bucket{database="db1",le="1000.0"} 0.0
metric3_bucket{database="db1",le="+Inf"} 1.0
metric3_count{database="db1"} 1.0
metric3_sum{database="db1"} 9988.39943669736
metric3_bucket{database="db2",le="10.0"} 0.0
metric3_bucket{database="db2",le="20.0"} 0.0
metric3_bucket{database="db2",le="50.0"} 0.0
metric3_bucket{database="db2",le="100.0"} 0.0
metric3_bucket{database="db2",le="1000.0"} 0.0
metric3_bucket{database="db2",le="+Inf"} 1.0
metric3_count{database="db2"} 1.0
metric3_sum{database="db2"} 9923.82999043912

Metrics are automatically tagged with the `database` label so that indipendent
series are generated for each database.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

query-exporter-0.1.2.tar.gz (23.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page