distinct

Find the number of distinct rows in a data extract.

Introduction

Use the distinct instruction to find the distinct rows in a data extract, and to return how many times the rows appear in the data extract.

To find only duplicate values, use the duplicates transformation.

To find distinct rows and aggregate the metric values, use the aggregate transformation.

Creating a custom script transformation using the distinct instruction

To create and configure a custom script using the distinct instruction, follow these steps:

1. Create a custom script transformation.

2. In the Instructions step, select the distinct instruction.

3. To configure the custom script instruction, fill in the following fields. Required fields are marked with an asterisk (*).

Key

Enter the names of the columns to be used when checking for distinct rows. Click to add columns.

Count

Enter the name of the column that is to be added to the data extract. This column displays the number of distinct rows for each unique combination of values found in the columns specified in Keys.

Presorted

Select this checkbox if the included data extracts are presorted.

Subtable

Enter the name for a subtable that you want to use within this custom script.

A subtable is a temporary table that only exists for this custom script. You can apply additional instructions within the same custom script to the subtable. However, the subtable cannot be used in any other custom scripts.

If a subtable does not exist for the current custom script, the transformation is applied to the data extract, and the enriched data is output into the subtable. If the subtable already exists for the custom script, the subtable is used as the input for the transformation and optionally as the output.

Example

Transformation configuration

Key*

Ad Group

Region

Count

Entry Count

Data table before transformation

Ad Group	Region	Clicks
media	UK	3493
media	UK	8891
media	UK	2782
ecommerce	France	7397
ecommerce	Germany	6397
social	USA	5645
social	USA	1946
social	Spain	3356

Data table after transformation

Ad Group	Region	Clicks	Entry Count
media	UK	3493	3
ecommerce	France	7397	1
ecommerce	Germany	6397	1
social	USA	5645	2
social	Spain	3356	1