# 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](/spaces/YwnJ6Fexn4LZwKRHghPK/files/VpH79ZVShdrO5GlC9mgP)
3. Run the Row Normaliser step.

The following table displays in the Preview data pane:

![Results in the Preview data pane](/spaces/YwnJ6Fexn4LZwKRHghPK/files/3Q5PUh46ABuCtc4ye8se)

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](/pdia-data-integration/pdi-transformation-steps-reference-overview/etl-metadata-injection.md) to pass metadata to your transformation at runtime.

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

* **Fieldname**
* **Type**
* **new field**


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