Extensions
- prometheus_fdw 0.2.0
- Postgres Foreign Data Wrapper for Prometheus Data
Documentation
- basic_setup
- Prometheus FDW basic demo
- setup
- Practical example
- README
- Practical example
- README
- Prometheus FDW basic demo
- index
- index
README
Prometheus_fdw
Prometheus_fdw is an integration of Prometheus monitoring data into Postgres. It enables querying for Prometheus metrics directly within Postgres, bridging the gap between Prometheus monitoring and Postgres’s robust database capabilities.
Pre-requisistes
- Install
prometheus_fdw
- (Optional) install
pg_partman
andpg_cron
Quick start
create extension prometheus_fdw;
Create the foreign data wrapper:
create foreign data wrapper prometheus_wrapper
handler prometheus_fdw_handler
validator prometheus_fdw_validator;
Create the server:
create server my_prometheus_server
foreign data wrapper prometheus_wrapper
options (
base_url '<base prometheus url>');
Create Foreign Table:
CREATE FOREIGN TABLE IF NOT EXISTS metrics (
metric_name TEXT,
metric_labels JSONB,
metric_time BIGINT,
metric_value FLOAT8
)
server my_prometheus_server
options (
object 'metrics',
step '10m'
);
Queries
To simply run the fdw and look at values
SELECT
*
FROM metrics
WHERE
metric_name='container_cpu_usage_seconds_total'
AND metric_time > 1696046800 AND metric_time < 1696133000;
Examples
Please see the examples/
directory to find a basic example and a practical example. In the practical example, metrics are automatically synced into the database using pg_cron
, and automatically expired using pg_partman
. Performance is optimized using indexes and partitioning.