Documentation

Calculate the increase

Use the increase() function 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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New in InfluxDB 3.5

Key enhancements in InfluxDB 3.5 and the InfluxDB 3 Explorer 1.3.

See the Blog Post

InfluxDB 3.5 is now available for both Core and Enterprise, introducing custom plugin repository support, enhanced operational visibility with queryable CLI parameters and manual node management, stronger security controls, and general performance improvements.

InfluxDB 3 Explorer 1.3 brings powerful new capabilities including Dashboards (beta) for saving and organizing your favorite queries, and cache querying for instant access to Last Value and Distinct Value caches—making Explorer a more comprehensive workspace for time series monitoring and analysis.

For more information, check out:

InfluxDB Docker latest tag changing to InfluxDB 3 Core

On November 3, 2025, the latest tag for InfluxDB Docker images will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments.

If using Docker to install and run InfluxDB, the latest tag will point to InfluxDB 3 Core. To avoid unexpected upgrades, use specific version tags in your Docker deployments. For example, if using Docker to run InfluxDB v2, replace the latest version tag with a specific version tag in your Docker pull command–for example:

docker pull influxdb:2