cutoutre

Remove fields from a data extract using a regular expression

Introduction

Use the cutoutre enrichment instruction to remove selected fields from a data extract. Use a regular expression to find the columns to remove.

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 (*).

Regex*

Enter a regular expression to find the names of the columns to remove. For example, enter the regular expression ^Ad.*to remove columns with names that start with Ad.

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

Regex

^Ad.*

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

Clicks	Date
5568	2022-02-11
7815	2022-02-11
6443	2022-02-11