docs-v2/content/flux/v0/stdlib/experimental/sum.md

title	description	menu	weight	flux/v0/tags	introduced
experimental.sum() function	`experimental.sum()` returns the sum of non-null values in the `_value` column for each input table.	flux_v0_ref name parent identifier experimental.sum experimental experimental/sum	101	transformations aggregates	0.107.0

experimental.sum() returns the sum of non-null values in the _value column for each input table.

Function type signature

(<-tables: stream[{A with _value: B}]) => stream[{A with _value: B}] where B: Numeric

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Parameters

tables

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

Examples

Return the sum of each input table

import "experimental"
import "sampledata"

sampledata.int()
    |> experimental.sum()

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Input data

_time	_value	*tag
2021-01-01T00:00:00Z	-2	t1
2021-01-01T00:00:10Z	10	t1
2021-01-01T00:00:20Z	7	t1
2021-01-01T00:00:30Z	17	t1
2021-01-01T00:00:40Z	15	t1
2021-01-01T00:00:50Z	4	t1

_time	_value	*tag
2021-01-01T00:00:00Z	19	t2
2021-01-01T00:00:10Z	4	t2
2021-01-01T00:00:20Z	-3	t2
2021-01-01T00:00:30Z	19	t2
2021-01-01T00:00:40Z	13	t2
2021-01-01T00:00:50Z	1	t2

Output data

*tag	_value
t1	51

*tag	_value
t2	53

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