Calculate the increase
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 increase()
to track increases across multiple columns in a table.
This function is especially useful when tracking changes in counter values that
wrap over time or periodically reset.
data
|> increase()
increase() returns a cumulative sum of non-negative differences between rows in a table.
For example:
Given the following input:
| _time | _value |
|---|---|
| 2020-01-01T00:01:00Z | 1 |
| 2020-01-01T00:02:00Z | 2 |
| 2020-01-01T00:03:00Z | 8 |
| 2020-01-01T00:04:00Z | 10 |
| 2020-01-01T00:05:00Z | 0 |
| 2020-01-01T00:06:00Z | 4 |
increase() returns:
| _time | _value |
|---|---|
| 2020-01-01T00:02:00Z | 1 |
| 2020-01-01T00:03:00Z | 7 |
| 2020-01-01T00:04:00Z | 9 |
| 2020-01-01T00:05:00Z | 9 |
| 2020-01-01T00:06:00Z | 13 |
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