cutoutre
Select and remove specific columns in a data extract using a regular expression.
This guide explains how to configure the cutoutre instruction. To learn about another instruction, go back to the Available custom script instructions overview.
Introduction
Use the cutoutre instruction to remove selected columns from a data extract. Use a regular expression to find the columns to remove.
Creating a custom script enrichment using the cutoutre instruction
To create and configure a custom script using the cutoutre instruction, follow these steps:
-
In the Instructions step, select the cutoutre instruction.
-
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 remove. For example, enter the regular expression
^Ad.*
to remove columns with names that start withAd
.
-
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 enrichment 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 enrichment and optionally as the output.
Example
Enrichment configuration
-
Regex
-
^Ad.*
Data table 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 table after enrichment
Clicks |
Date |
---|---|
5568 |
2022-02-11 |
7815 |
2022-02-11 |
6443 |
2022-02-11 |