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Calculate the increase

This page documents an earlier version of InfluxDB. InfluxDB v2 is the latest stable version. See the equivalent InfluxDB v2 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
2020-01-01T00:01:00Z 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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Introducing InfluxDB Clustered

A highly available InfluxDB 3.0 cluster on your own infrastructure.

InfluxDB Clustered is a highly available InfluxDB 3.0 cluster built for high write and query workloads on your own infrastructure.

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The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Flux is going into maintenance mode and will not be supported in InfluxDB 3.0. This was a decision based on the broad demand for SQL and the continued growth and adoption of InfluxQL. We are continuing to support Flux for users in 1.x and 2.x so you can continue using it with no changes to your code. If you are interested in transitioning to InfluxDB 3.0 and want to future-proof your code, we suggest using InfluxQL.

For information about the future of Flux, see the following:

State of the InfluxDB Cloud Serverless documentation

InfluxDB Cloud Serverless documentation is a work in progress.

The new documentation for InfluxDB Cloud Serverless is a work in progress. We are adding new information and content almost daily. Thank you for your patience!

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