docs-v2/content/influxdb/v1/flux/guides/cumulativesum.md

title	seotitle	list_title	description	weight	menu	list_query_example	canonical	v2
Query cumulative sum	Query cumulative sum in Flux	Cumulative sum	Use the `cumulativeSum()` function to calculate a running total of values.	10	influxdb_v1 parent name Query with Flux Cumulative sum	cumulative_sum	/influxdb/v2/query-data/flux/cumulativesum/	/influxdb/v2/query-data/flux/cumulativesum/

Use the cumulativeSum() function to calculate a running total of values. cumulativeSum sums the values of subsequent records and returns each row updated with the summed total.

{{< flex >}} {{% flex-content "half" %}} Given the following input table:

_time	_value
0001	1
0002	2
0003	1
0004	3
{{% /flex-content %}}
{{% flex-content "half" %}}
cumulativeSum() returns:

_time	_value
0001	1
0002	3
0003	4
0004	7
{{% /flex-content %}}
{{< /flex >}}

{{% note %}} The examples below use the example data variable. {{% /note %}}

Calculate the running total of values

data
  |> cumulativeSum()

Use cumulativeSum() with aggregateWindow()

aggregateWindow() segments data into windows of time, aggregates data in each window into a single point, then removes the time-based segmentation. It is primarily used to downsample data.

aggregateWindow() expects an aggregate function that returns a single row for each time window. To use cumulativeSum() with aggregateWindow, use sum in aggregateWindow(), then calculate the running total of the aggregate values with cumulativeSum().

data
  |> aggregateWindow(every: 5m, fn: sum)
  |> cumulativeSum()