aggregate.rate() function

aggregate.rate() is experimental and subject to change at any time. By using this function, you accept the risks of experimental functions.

aggregate.rate() calculates the rate of change per windows of time for each input table.

aggregate.rate() requires that input data have _start and _stop columns to calculate windows of time to operate on. Use range() to assign _start and _stop values.

Function type signature
(<-tables: stream[A], every: duration, ?groupColumns: [string], ?unit: duration) => stream[B] where A: Record, B: Record
For more information, see Function type signatures.



(Required) Duration of time windows.


List of columns to group by. Default is [].


Time duration to use when calculating the rate. Default is 1s.


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


Calculate the average rate of change in data

import "experimental/aggregate"
import "sampledata"

data =
        |> range(start: sampledata.start, stop: sampledata.stop)

    |> aggregate.rate(every: 30s, unit: 1s, groupColumns: ["tag"])

View example input and ouput

Was this page helpful?

Thank you for your feedback!

Upgrade to InfluxDB Cloud or InfluxDB 2.0!

InfluxDB Cloud and InfluxDB OSS 2.0 ready for production.