cut

Cut and keep fields from a data extract.

Introduction

Use the cut enrichment instruction to keep fields in a data extract and remove all unselected fields. Enter the names of the fields to cut and keep. To remove certain fields from a data extract, use the cutout enrichment instruction. Alternatively, use the cutre instruction to find the columns to keep 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 keep from the data extract. Select if the name of the column is a string or an integer. Click to add multiple fields to keep 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

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

Campaign	Clicks
Brand	5568
Ecommerce	7815
Growth	6443