track_step: Record a tracking step

In autocodebook: Automatic Codebook and Tracking for 'Spark' and 'dplyr' Pipelines

Record a tracking step

Description

Counts unique individuals in the current data and logs the step. Works with both tbl_spark and local data frames.

Usage

track_step(sdf, step_label, description = "", assume_unique = FALSE)

Arguments

sdf	A Spark DataFrame or local data frame.
step_label	Short label for the step.
description	Longer description.
assume_unique	Logical. If TRUE, skips the distinct() call when counting (use only when you are certain the ID column has no duplicates at this stage - e.g. after a deduplication step). Default: FALSE.

Value

Invisible integer: number of unique IDs.

autocodebook documentation built on June 9, 2026, 1:09 a.m.