Documentation

geo.asTracks() function

geo.asTracks() is experimental and subject to change at any time.

geo.asTracks() groups rows into tracks (sequential, related data points).

Function type signature
(<-tables: stream[A], ?groupBy: [string], ?orderBy: [string]) => stream[A] where A: Record
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

groupBy

Columns to group by. These columns should uniquely identify each track. Default is ["id","tid"].

orderBy

Columns to order results by. Default is ["_time"].

Sort precedence is determined by list order (left to right).

tables

Input data. Default is piped-forward data (<-).

Examples

Group geotemporal data into tracks

import "experimental/geo"

data
    |> geo.asTracks()
  • Copy
  • Fill window

View example input and output

Group geotemporal data into tracks and sort by specified columns

import "experimental/geo"

data
    |> geo.asTracks(orderBy: ["lat", "lon"])
  • Copy
  • Fill window

View example input and output


Was this page helpful?

Thank you for your feedback!


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.

Read more

New in InfluxDB 3.3

Key enhancements in InfluxDB 3.3 and the InfluxDB 3 Explorer 1.1.

See the Blog Post

InfluxDB 3.3 is now available for both Core and Enterprise, which introduces new managed plugins for the Processing Engine. This makes it easier to address common time series tasks with just a plugin. InfluxDB 3 Explorer 1.1 is also available, which includes InfluxDB plugin management and other new features.

For more information, check out: