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augment Parameters
When you define an augment transformation, you set the action attribute to augment and specify the parameters.
The following table describes the input parameters.
| Parameter | Required? | Value |
|---|---|---|
| operation | No | Indicates what the transformation does if it matches multiple rows in the right dataset with a row in the left. Valid values:
For more information about each operation, see Special Cases for Matching Records with the augment Transformation. |
| left | Yes | Node in the dataflow definition file that identifies the left dataset. This is one of two input sources for this transformation. |
| left_key | Yes | Key column in the left dataset used to augment the dataset. If you use a composite key, the left and right keys must have the same number of columns in the same order. For a composite key, use the following syntax: The left or right key can’t be a multivalue field. A key must be a dimension. |
| right | Yes | Node in the dataflow definition file that identifies the right dataset. This is one of two input sources for this transformation. |
| relationship | Yes | Relationship between the left and right dataset. The dataflow adds the relationship to the beginning of the right column names in the output dataset to make the column names unique and descriptive. Can contain only letters, numbers, dots, underscores, and dashes. |
| right_select | Yes | An array of column names from the right dataset that you want to include in the output dataset. The dataflow adds the relationship as a prefix to the column name to determine the name of the right column in the output dataset. |
| right_key | Yes | Key column in the right dataset used to augment the dataset. If you use a composite key, the left and right keys must have the same number of columns in the same order. The left or right key can’t be a multivalue field. A key must be a dimension. |
