Prometheus

Prometheus is a popular cloud-native monitoring tool that is widely adopted by organizations due to its scalability, reliability, and scalability. It is used to scrape metrics from cloud-native services, such as Kubernetes and OpenShift, and stores it in a time-series database. Prometheus is also easily extensible, allowing users to extend its features and capabilities with other databases.

HoraeDB can be used as a long-term storage solution for Prometheus. Both remote read and remote write API are supported.

Config

You can configure Prometheus to use HoraeDB as a remote storage by adding following lines to prometheus.yml:

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remote_write:
  - url: "http://<address>:<http_port>/prom/v1/write"
remote_read:
  - url: "http://<address>:<http_port>/prom/v1/read"

Each metric will be converted to one table in HoraeDB:

• labels are mapped to corresponding string tag column
• timestamp of sample is mapped to a timestamp timestmap column
• value of sample is mapped to a double value column

For example, up metric below will be mapped to up table:

up{env="dev", instance="127.0.0.1:9090", job="prometheus-server"}

Its corresponding table in HoraeDB(Note: The TTL for creating a table is 7d, and points written exceed TTL will be discarded directly):

CREATE TABLE `up` (
    `timestamp` timestamp NOT NULL,
    `tsid` uint64 NOT NULL,
    `env` string TAG,
    `instance` string TAG,
    `job` string TAG,
    `value` double,
    PRIMARY KEY (tsid, timestamp),
    timestamp KEY (timestamp)
);

SELECT * FROM up;