increase() function

The increase() function calculates the cumulative sum of non-negative differences between subsequent values. A main use case is tracking changes in counter values which may wrap over time when they hit a threshold or are reset. In the case of a wrap/reset, we can assume that the absolute delta between two points will be at least their non-negative difference.

*Function type: Transformation
**Output data type:* Float

increase(columns: ["_value"])

Parameters

columns

The columns to use in the operation. Defaults to ["_value"].

*Data type: Array of strings*

Output tables

For each input table with n rows, derivative() outputs a table with n - 1 rows.

Examples

from(bucket: "example-bucket")
  |> range(start: -24h)
  |> filter(fn: (r) =>
    r._measurement == "system" and
    r._field == "n_users"
  )
  |> increase()

Given the following input table:

increase() produces the following table:

Function definition

increase = (tables=<-, column="_value") =>
    tables
        |> difference(nonNegative: true, column:column)
        |> cumulativeSum()

Related articles

• Calculate the increase