Work with geo-temporal data
See the equivalent InfluxDB v2 documentation: Work with geo-temporal data.
Use the Flux Geo package to filter geo-temporal data and group by geographic location or track.
The Geo package is experimental and subject to change at any time. By using it, you agree to the risks of experimental functions.
To work with geo-temporal data:
Load geo-temporal data. See below for sample geo-temporal data.
Do one or more of the following:
Many of the examples in this section use a
sampleGeoData variable that represents
a sample set of geo-temporal data.
The Bird Migration Sample Data
available on GitHub provides sample geo-temporal data that meets the
requirements of the Flux Geo package.
Load annotated CSV sample data
Use the experimental
to load the sample bird migration annotated CSV data from GitHub:
import `experimental/csv` sampleGeoData = csv.from( url: "https://github.com/influxdata/influxdb2-sample-data/blob/master/bird-migration-data/bird-migration.csv" )
csv.from(url: ...) downloads sample data each time you execute the query (~1.3 MB).
If bandwidth is a concern, use the
to write the data to a bucket, and then query the bucket with
Write sample data to InfluxDB with line protocol
curl and the
influx write command to write bird migration line protocol to InfluxDB.
db/rp with your destination bucket:
curl https://raw.githubusercontent.com/influxdata/influxdb2-sample-data/master/bird-migration-data/bird-migration.line --output ./tmp-data influx write -b db/rp @./tmp-data rm -f ./tmp-data
Use Flux to query the bird migration data and assign it to the
sampleGeoData = from(bucket: "db/rp") |> range(start: 2019-01-01T00:00:00Z, stop: 2019-12-31T23:59:59Z) |> filter(fn: (r) => r._measurement == "migration")
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