selectnotin

Select rows in data extract to keep if they do not exactly match a given value.

Introduction

Use the selectnotin enrichment to find and keep rows in a data extract. Only the rows of the data extract that are not an exact match of the values entered in the enrichment configuration are kept, and all other rows are removed. This search is case-sensitive.

This enrichment is the opposite of the selectin enrichment.

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 that contains the value used to identify which row to remove.

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.

Value*

Enter the value used to identify which row to remove from the data extract. To add multiple values to the search criteria, click + and enter another value. The search is case-sensitive and only the values in the data extract that are not an exact match to the entered values are kept.

Complement

Select this field to reverse the enrichment. Any rows that match the search criteria are kept and the rows that do not match the criteria are removed.

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

Value

ecommerce

Data table before enrichment

Campaign	Ad Group	Clicks
Brand	media	7
Branding	ecommerce	3
Dashboard	brand awareness	18
Brand	Ecommerce	4
Dashboard	media|social	5
Branding	media	11

Data table after enrichment

Campaign	Ad Group	Clicks
Brand	media	7
Dashboard	brand awareness	18
Brand	Ecommerce	4
Dashboard	media|social	5
Branding	media	11