selectnone

Select and keep rows in a data extract if they contain empty values in a certain column.

Introduction

Use the selectnone enrichment to search a data extract and keep any empty rows in a given column. This enrichment does not count null or 0 as an empty value. This enrichment is the opposite of selectnotnone.

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 (*).

Field*

Enter the name of the column to search through to find missing values.

Select a column in one of the following ways:

• Select String and enter the name of the column.

• Select Integer and enter the position of the column in the data extract as an index value. Counting starts at 0. To select the first column, enter 0. To select the second column, enter 1. To select the last column in the data extract, enter -1.

Complement

Select this field to reverse the enrichment. Any rows that contain empty values in the given column are removed 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

Field*

Ad Group

Complement

Do not select this field.

Data table before enrichment

Campaign	Ad Group	Clicks
Brand	media	7
Branding		3
Dashboard	brand awareness	18
Brand		4
Dashboard	media|social	5
Branding	media

Data table after enrichment

Campaign	Ad Group	Sum_Clicks
Branding		3
Brand		4