Documentation

experimental.sum() function

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

The experimental.sum() function computes the sum of non-null values in the _value column for each input table. experimental.sum() is an aggregate function.

import "experimental"

experimental.sum()

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.sum()

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