experimental.spread() function

The experimental.spread() function is subject to change at any time. By using this function, you accept the risks of experimental functions.

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"




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


import "experimental"

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

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