selecttrue

Keep rows that contain any value in a selected column.

This guide explains how to configure the selecttrue instruction. To learn about another instruction, go back to the Available custom script instructions overview.

Introduction

Use the selecttrue instruction to find and keep rows that contain any values in a selected column. All rows with an empty value in the selected column are removed from the data extract.

Creating a custom script transformation using the selecttrue instruction

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

  1. Create a custom script transformation.

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

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

Field*

Enter the name of the column to search through to find missing values.

Select a column in one of the following ways:

  • Select String and enter the name of the column.

  • Select Integer and enter the position of the column in the data extract as an index value. Counting starts at 0. To select the first column, enter 0. To select the second column, enter 1. To select the last column in the data extract, enter -1.

Complement

Select this field to reverse the transformation. This means that any rows that contain empty values in the given column are kept in the data extract, and any rows containing values are removed.

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

Field*

Ad Group

Complement

Do not select this field.

Data table before transformation

Campaign

Ad Group

Clicks

Brand

media

Branding

3

Dashboard

brand awareness

18

Brand

4

Dashboard

media|social

5

Branding

media

11

Data table after transformation

Campaign

Ad Group

Clicks

Brand

media

Dashboard

brand awareness

18

Dashboard

media|social

5

Branding

media

11