cutout

Select and remove specific columns from a data extract.

Introduction

Use the cutout instruction to remove selected columns from a data extract.

For example, if you have 30 columns and want to remove 3, use cutout to select the three columns you want to remove. If you have 30 columns and want to keep 3, use cut instead to select the columns you want to keep.

Creating a custom script transformation using the cutout instruction

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

1. Create a custom script transformation.

2. In the Configuration step, select the cutout instruction.

3. To configure the custom script instruction, fill in the required fields below, as well as any optional fields you require:

Fields (required)

Select String and enter the name of the column to remove from the data extract, or select Integer and enter the position of the column to remove from the data extract.

Click to add multiple columns to remove from the data extract.

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

Fields

Ad Campaign and Clicks

Data table before transformation

Ad Campaign	Ad Group	Clicks	Date
Brand	In-App	5568	2022-02-11
Ecommerce	In-App	7815	2022-02-11
Growth	Media	6443	2022-02-11

Data table after transformation

Ad Group	Date
In-App	2022-02-11
In-App	2022-02-11
Media	2022-02-11