Row Normaliser

Description

The Row Normaliser transform converts the columns of an input stream into rows.

You can use this transform to normalize repeating groups of columns.

Supported Engines

Hop Engine

Supported

Spark

Maybe Supported

Flink

Maybe Supported

Dataflow

Maybe Supported

Options

Option	Description
Transform name	Name of the transform this name has to be unique in a single pipeline.
Typefield	The name of the type field (product in the example above).
Fields table	A list of the fields you want to normalize; you must set the following properties for each selected field: Fieldname: Name of the fields to normalize (Product A ? C in the example). Type: Give a string to classify the field (A, B or C in our example). New field: You can give one or more fields where the new value should transferred to (sales in our example).
Get Fields	Click to retrieve a list of all fields coming in on the stream(s).

Option

Description

Transform name

Name of the transform this name has to be unique in a single pipeline.

Typefield

The name of the type field (product in the example above).

Fields table

A list of the fields you want to normalize; you must set the following properties for each selected field:

Fieldname: Name of the fields to normalize (Product A ? C in the example).
Type: Give a string to classify the field (A, B or C in our example).
New field: You can give one or more fields where the new value should transferred to (sales in our example).

Get Fields

Click to retrieve a list of all fields coming in on the stream(s).

Metadata Injection Support

All fields of this transform support metadata injection. You can use this transform with ETL Metadata Injection to pass metadata to your pipeline at runtime.