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:

  1. Import the experimental/geo package.

    import "experimental/geo"
  2. Load geo-temporal data. See below for sample geo-temporal data.

  3. Do one or more of the following:

Sample data

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 csv.from() function to load the sample bird migration annotated CSV data from GitHub:

import `experimental/csv`

sampleGeoData = csv.from(
  url: ""

csv.from(url: ...) downloads sample data each time you execute the query (~1.3 MB). If bandwidth is a concern, use the to() function to write the data to a bucket, and then query the bucket with from().

Write sample data to InfluxDB with line protocol

Use curl and the influx write command to write bird migration line protocol to InfluxDB. Replace db/rp with your destination bucket:

curl --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 variable:

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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InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following: