increase() returns the cumulative sum of non-negative differences between subsequent values.
The primary use case for
increase() is tracking changes in counter values
which may wrap overtime when they hit a threshold or are reset. In the case
of a wrap/reset,
increase() assumes that the absolute delta between two
points is at least their non-negative difference.
Function type signature
(<-tables: stream[A], ?columns: [string]) => stream[B] where A: Record, B: Record
List of columns to operate on. Default is
Input data. Default is piped-forward data (
Normalize resets in counter metrics
import "sampledata" sampledata.int() |> increase()
View example input and output
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