experimental.group() function
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: "example-bucket")
|> range(start: -1m)
|> experimental.group(columns: ["_value"], mode: "extend")