Signal K Node server plugin to write all simple numeric Signal K values to InfluxDB, a time series database.
Once the data is in InfluxDb you can use for example Grafana to draw pretty graphs of your data.
The plugin assumes that the database you specify exists. You can create one with
curl -X POST http://localhost:8086/query?q=CREATE+DATABASE+boatdata
The plugin writes only self
data. It converts Signal K paths to InfluxDb measurement
keys in CamelCase format, eg. navigationPosition
.
Adding support for non-self data would be pretty easy by adding context as InfluxDB tags.
If enabled by black/whitelist configuration navigation.position
updates are written to the db no more frequently than once per second. More frequent updates are simply ignored.
The coordinates are written as [lon, lat]
strings for minimal postprocessing in GeoJSON conversion.
The plugin creates /signalk/vX/api/self/track
endpoint that accepts two parameters:
- timespan in the xxxY format, where xxx is a Number and Y one of
- s (seconds)
- m (minutes)
- h (hours)
- d (days)
- w (weeks)
- resolution in the same format
and returns GeoJSON MultiLineString. For example
http://localhost:3000/signalk/v1/api/self/track?timespan=1d&resolution=1h
will return the data for the last 1 day (24 hours) with one position per hour. The data is simply sampled with InfluxDB'sfirst()
function.
If you want to import log files to InfluxDb this plugin provides also a provider interface that you can include in your input pipeline. First configure your log playback, then stop the server and insert the following entry in your settings.json:
{
"type": "signalk-to-influxdb/provider",
"options": {
"host": "localhost",
"port": 8086,
"database": "signalk",
"selfId": <your self id here>,
"batchSize": 1000
}
}
You can start a local InfluxDb & Grafana with docker-compose up
and then configure the plugin to write to
localhost:8086 and then configure Grafana to use InfluxDb data.