Row Normaliser

The Row Normaliser step converts the columns of an input stream into rows. You can use this step to normalize repeating groups of columns.

General tab

The following fields are general to this transformation step:

Field	Description
Step name	Specify the unique name of the Row Normaliser step on the canvas. You can customize the name or leave it as the default.
Type field	Specify the name of the new column in the output data.

Fields table

Field	Description
Fieldname	Name of the fields to normalize.
Type	Specify the string used to classify the field.
new field	Specify the fields where you want to transfer the new values.
Get Fields	Retrieve a list of all fields coming in on the streams.

Example

Perform the following steps to demonstrate a simple example of the Row Normaliser step:

1. Create the following sample table of product sales data as an input source:

   Date	PR1_NR	PR1_SL	PR2_NR	PR2_SL	PR3_NR	PR3_SL
   January	5	100	10	250	4	150

2. Input the values shown in the following graphic in the Row Normaliser step:

   

   Row normaliser values example
3. Run the Row Normaliser step.

The following table displays in the Preview data pane:

Results in the Preview data pane

The design-tools/data-integration/samples/transformations directory contains the following example KTRs that show how to use this step:

Example KTR file	Description
Row Normaliser - Simple example.ktr	Shows a simple example of normalizing sales data.
Row Normaliser - turn a single row into 3 rows.ktr	Shows an example of splitting fields into columns then normalizing the columns.

Metadata injection support

All fields of this step support metadata injection. You can use this step with ETL metadata injection to pass metadata to your transformation at runtime.

The following fields of the Row Normaliser step support metadata injection:

• Fieldname
• Type
• new field