The experimental.group() function is subject to change at any time.
By using this function, you accept the risks of experimental functions.
The experimental.group() function introduces an extend mode to the existing
group() function.
Function type: Transformation
This function will be removed once the proposed extend mode is sufficiently vetted.
import "experimental"
experimental.group(columns: ["host", "_measurement"], mode:"extend")
Parameters
columns
List of columns to use in the grouping operation.
Defaults to [].
Data type: Array of strings
mode
The mode used to group columns.
Data type: String
extend is the only mode available to experimental.group().
extend
Appends columns defined in the columns parameter to all existing
group keys.
Examples
Include the value column in each groups’ group key
import "experimental"
from(bucket: "telegraf/autogen")
|> range(start: -1m)
|> experimental.group(columns: ["_value"], mode: "extend")