QuasarDB for Grafana
2020欧洲杯积分榜 is a high performance, limitless, time series database built to handle the most demanding use cases.
2020欧洲杯积分榜This is the official QuasarDB Grafana Data Source plugin. It extends QuasarDB’s support to allow integration with the Grafana analytics and monitoring platform.
This documentation assumes you have:
- Grafana installed and running.
- Both the QuasarDB daemon
qdbdand the REST API
The easiest way to install the plugin is via the Grafana CLI
grafana-cli --pluginUrl http://github.com/bureau14/qdb-grafana-plugin/archive/3.4.0.zip plugins install qdb-grafana-datasource
Alternatively, you can clone the git repository to your Grafana plugins directory (this is usually
/var/lib/grafana/plugins on Linux-based systems)
cd /var/lib/grafana/plugins git clone http://github.com/bureau14/qdb-grafana-plugin.git
Finally, restart your Grafana server and the plugin will be added automatically.
2020欧洲杯积分榜Navigate your web browser to Grafana’s datasource configuration, and click Add data source. You will see QuasarDB as one of the available data sources.
Note: It is recommended to leave Access set to Server (Default) unless you specifically know otherwise.
2020欧洲杯积分榜If your cluster is not secured you just need to fill in the REST API URL (default is ) into the URL field as shown below:
2020欧洲杯积分榜If your cluster is secured make sure to use the secure REST API URL (default is ) when filling in the URL field.
Note: You may need to check Skip TLS Verify under Auth settings if you are using a self-signed TLS certificate.
Check the Use Secure Cluster checkbox and fill in the User name and User secret fields using the information found in your user private key file as shown below:
After you are done, click Save & Test and you are ready to starting creating visualizations using QuasarDB.
You can add a visualization using QuasarDB by selecting the QuasarDB Data Source when creating a new visualization.
Note: Which result format you need will be specified by the visualization you are using, but Time series is a most common format.
When defining a query for your visualization you should specify whether you was like to format the result as either
Time series or a
Table by selecting an option from the
FORMAT AS dropdown in the query editor as shown below:
In additional to normal query syntax you can use the
$__interval variables provided by Grafana.
For example the query:
SELECT * FROM stocks.apple IN RANGE(2007, 2008) GROUP BY 1h
2020欧洲杯积分榜Could be written to use Grafana's variables like this:
SELECT * FROM stocks.apple IN $__range GROUP BY $__interval
For information on query syntax see our for more information.
If you have any problems or suggestions please don't hesitate to contact us at firstname.lastname@example.org