Query cumulative sum
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.
Given the following input table:
| _time | _value |
|---|---|
| 0001 | 1 |
| 0002 | 2 |
| 0003 | 1 |
| 0004 | 3 |
cumulativeSum() returns:
| _time | _value |
|---|---|
| 0001 | 1 |
| 0002 | 3 |
| 0003 | 4 |
| 0004 | 7 |
The examples below use the example data variable.
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()
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