Documentation

Calculate the increase

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
2020-01-01T00:01:00Z1
2020-01-01T00:02:00Z2
2020-01-01T00:03:00Z8
2020-01-01T00:04:00Z10
2020-01-01T00:05:00Z0
2020-01-01T00:06:00Z4

increase() returns:

_time_value
2020-01-01T00:02:00Z1
2020-01-01T00:03:00Z7
2020-01-01T00:04:00Z9
2020-01-01T00:05:00Z9
2020-01-01T00:06:00Z13

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See the Blog Post

InfluxDB 3.7 is now available for both Core and Enterprise, landing alongside version 1.5 of the InfluxDB 3 Explorer UI. This release focuses on giving developers faster visibility into what their system is doing with one-click monitoring, a streamlined installation pathway, and broader updates that simplify day-to-day operations.

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InfluxDB Docker latest tag changing to InfluxDB 3 Core

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