experimental.spread() function

The experimental.spread() function outputs the difference between the minimum and maximum values in the _value column for each input table. experimental.spread() is an aggregate function.

The function supports uint, int, and float values. The output value type depends on the input value type:

• uint or int input values return int values
• float input values return float values

import "experimental"

experimental.spread()

Parameters

tables

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

Examples

import "experimental"

from(bucket: "example-bucket")
  |> range(start: -5m)
  |> filter(fn: (r) =>
    r._measurement == "example-measurement" and
    r._field == "example-field"
  )
  |> experimental.spread()