cutre

Select and keep specific columns from a data extract using a regular expression.

Note

This guide explains how to configure the cutre instruction. To learn about another instruction, go back to the Custom scripts available in Adverity overview.

Introduction

Use the cutre instruction to keep selected columns in a data extract and remove all unselected columns. Use a regular expression to find the columns to keep.

Creating a custom script transformation using the cutre instruction

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

1. Create a custom script transformation.

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

3. To configure the custom script instruction, 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 keep. For example, enter the regular expression ^Ad.* to keep columns with names that start with Ad.

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

Regex

^Ad.*

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 Campaign	Ad Group
Brand	In-App
Ecommerce	In-App
Growth	Media