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Pentaho Documentation

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

The following fields and buttons 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

PDI_Row_Normalizer_dlg.png

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 Retrieves a list of all fields coming in on the streams. 

Examples

Perform the following steps to demonstrate a simple example of the Row Normalizer 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
  1. Input the values shown in the following graphic in the Row Normalizer step:

PDI_Row_Normalizer_dlg_Sample.png

  1. Run the the Row Normaliser step.  The following table will display in the Preview data pane:

PDI_Row_Normalizer_dlg_Result.png

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 Normalizer - 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 

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