derivative() function

derivative() computes the rate of change per unit of time between subsequent non-null records.

The function assumes rows are ordered by the _time.

Output tables

The output table schema will be the same as the input table. For each input table with n rows, derivative() outputs a table with n - 1 rows.

Function type signature
    <-tables: stream[A],
    ?columns: [string],
    ?initialZero: bool,
    ?nonNegative: bool,
    ?timeColumn: string,
    ?unit: duration,
) => stream[B] where A: Record, B: Record

For more information, see Function type signatures.



Time duration used to calculate the derivative. Default is 1s.


Disallow negative derivative values. Default is false.

When true, if a value is less than the previous value, the function assumes the previous value should have been a zero.


List of columns to operate on. Default is ["_value"].


Column containing time values to use in the calculation. Default is _time.


Use zero (0) as the initial value in the derivative calculation when the subsequent value is less than the previous value and nonNegative is true. Default is false.


Input data. Default is piped-forward data (<-).


Calculate the non-negative rate of change per second

import "sampledata"
    |> derivative(nonNegative: true)

View example input and output

Calculate the rate of change per second with null values

import "sampledata" true)
    |> derivative()

View example input and output

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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: