我的书签
添加书签
移除书签Query cumulative sum
This page documents an earlier version of InfluxDB. InfluxDB v2.7 is the latest stable version. View this page in the v2.7 documentation.
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()
