fillright

Fill empty fields in the data extract using values in the field to the left of an empty field.

This guide explains how to configure the fillright instruction. To learn about another instruction, go back to the Available custom script instructions overview.

Introduction

Use the fillright instruction to fill in the empty fields in a data extract. Choose what Adverity should treat as an empty field and these empty fields are populated with values from the field to the left of the empty field.

Empty values in the first column will remain empty as there is no field to the left with which to populate the field to the right. If a field in the first column contains an empty value and there are consecutive empty fields to the right of this empty field within the same row, then these fields will remain empty as there is no value with which to populate them (this is shown in the example below).

Creating a custom script enrichment using the fillright instruction

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

  1. Create a custom script enrichment.

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

  3. To configure the custom script instruction, fill in the following fields. Required fields are marked with an asterisk (*).

Missing

Enter the missing value for Adverity to search. For example, a value like null or n/a could be treated as a missing value. Leave this field blank to search and fill only the fields that are empty.

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

Missing

null

Data table before enrichment

Campaign

Ad Group

Clicks

Impressions

Brand

media

2792

7766

Brand

ecommerce

2792

9124

Brand

null

null

2345

Dashboard

ecommerce

null

556

Dashboard

longevity

4875

7935

null

media|social

6531

null

Outreach

null

8619

2649

Outreach

organic growth

3260

5689

null

null

null

4176

Data table after enrichment

Campaign

Ad Group

Clicks

Impressions

Brand

media

2792

7766

Brand

ecommerce

2792

9124

Brand

Brand

Brand

2345

Dashboard

ecommerce

ecommerce

556

Dashboard

longevity

4875

7935

null

media|social

6531

6531

Outreach

Outreach

8619

2649

Outreach

organic growth

3260

5689

null

null

null

4176