cutout

Remove fields from a data extract.

Introduction

Use the cutout enrichment instruction to remove selected fields from a data extract. To remove multiple fields from a data extract at once and keep only a few selected fields, use the cut enrichment instruction. Alternatively, use the cutoutre instruction to find the columns to remove using a regular expression.

Creating the enrichment

For more information on creating an enrichment, see Using custom scripts.

Configuring the enrichment

To configure the enrichment, fill in the following fields. Required fields are marked with an asterisk (*).

Fields*

Enter the names of the columns to remove from the data extract. Select if the name of the column is a string or an integer. Click to add multiple fields to remove from the data extract.

Subtable

Enter the name for a subtable that you want to contain the enriched data. The enrichment is applied to the whole data extract, then the enriched data is output into the subtable you have named here.

This subtable is a temporary table, which means it 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.

Example

Enrichment configuration

Fields

Campaign and Clicks

Data tables before enrichment

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 tables after enrichment

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