splitfield

Split values in one column into new columns using a regular expression.

Introduction

Use the splitfield instruction to split the values in one column into new columns. Use a regular expression to determine how the values are to be split.

Creating a custom script transformation using the splitfield instruction

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

1. Create a custom script transformation.

2. In the Configuration step, select the splitfield instruction.

3. To configure the custom script instruction, fill in the required fields below, as well as any optional fields you require:

Field (required)

Enter the name of the column that contains the values to split.

Pattern (required)

Enter a regular expression used to split the values into new columns.

New fields (required)

Enter the names of the new columns to populate with the split values.

Include original

Select this field to keep the column from which the values are split.

Maxsplit

Enter a number for the maximum number of times a value can be split. Any values that can be split are left combined in the last column of the data extract (see the example below). Enter 0 to not provide a limit.

Flags

Enter a flag for the regular expression. A regular expression flag is used for global and case-insensitive searching.

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

Field

Campaign

Pattern

_

Newfields

• Quarter

• Campaign name

• Campaign ID

Include Original

Select this field

Maxsplit

3

Data table before transformation

Campaign	Ad Group	Clicks
Q1_NewYear_887	media	7
Q1_WinterClearout_445	ecommerce	3
Q2_Spring_1272_BA	festivals	18
Q1_Valentines_992_887	ecommerce	4
Q4_Christmas_2525	media|social	5
Q1_PayDay_881	media	11

Data table after transformation

Campaign	Ad Group	Clicks	Quarter	Campaign Name	ID
Q1_NewYear_887	media	7	Q1	NewYear	887
Q1_WinterClearout_445	ecommerce	3	Q1	WinterClearout	445
Q2_Spring_1272_BA	festivals	18	Q2	Spring	1272_BA
Q1_Valentines_992_887	ecommerce	4	Q1	Valentine	992_887
Q4_Christmas_2525	media|social	5	Q4	Christmas	2525
Q1_PayDay_881	media	11	Q1	PayDay	881