Developer Transformation Guide

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Multiple-Occurring Fields

When a field repeats multiple-times in the source data, you can define the field as a multiple-occurring field in the input row hierarchy. The Normalizer transformation can return a separate row for each occurrence of a multiple-occurring field or group of fields in a source.

A source row might contain four quarters of sales by store:

Store	Sales(1)	Sales(2)	Sales(3)	Sales(4)
Store1	100	300	500	700
Store2	250	450	650	850

When you define the Normalizer input hierarchy, you can you combine the four Sales fields into one multiple-occurring field. Define a field name such as Qtr_Sales and configure it to occur four times in the source.

When the output group contains the store data and the sales data, the Normalizer transformation returns a row for each Store and Qtr_Sales combination. The output row contains an index that identifies which instance of Qtr_Sales that is in the output row.

The transformation returns the following rows:

Store	Qtr_Sales	Qtr (GCID)
Store1	100	1
Store1	300	2
Store1	500	3
Store1	700	4
Store2	250	1
Store2	450	2
Store2	650	3
Store2	850	4

When an output group contains single-occurring columns and a multiple-occurring column, the Normalizer returns duplicate data for the single-occurring columns in each output row. For example, Store1 and Store2 repeat for each instance of Qtr_Sales.

A source row might contain more than one level of multiple-occurring data. You can configure the Normalizer transformation to return separate rows at each level based on how you define the input hierarchy.

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Table of Contents

Developer Transformation Guide

Developer Transformation Guide

Multiple-Occurring Fields

Multiple-Occurring Fields