Creating a Conditional Router transformation - Amazon Glue
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Creating a Conditional Router transformation

The Conditional Router transform allows you to apply multiple conditions to incoming data. Each row of the incoming data is evaluated by a group filter condition and processed into its corresponding group. If a row meets more than one group filter condition, the transform passes the row to multiple groups. If a row does not meet any condition, it can either be dropped or routed to a default output group.

This transform is similar to the filter transform, but useful for users who want to test the same input data on multiple conditions.

To add a Conditional Router transform:

  1. Choose a node where you will perform the conditional router transformation. This can be a source node or another transform.

  2. Choose Action, then use the search bar to find and choose 'Conditional Router'. A Conditional Router transform is added along with two output nodes. One output node, 'Default group', contains records which do not meet any of the conditions defined in the other output node(s). The default group cannot be edited.

    The screenshot shows the conditional router transform node connected to a source node. Output nodes are shown branching from the conditional router node.

    You can add additional output groups by choosing Add group. For each output group, you can name the group and add filter conditions and a logical operator.

    The screenshot shows the conditional router transform tab with options to name the output group, logical operator and conditional filter(s).

  3. Rename the output group name by entering a new name for the group. Amazon Glue Studio will automatically name your groups for you (for example, 'output_group_1').

  4. Choose a logical operator (AND, OR) and add a Filter condition by specifying the Key, Operation, and Value. Logical operators allow you to implement more than one filter condition and perform the logical operator on each filter condition you specify.

    When specifying the key, you can choose from available keys in your schema. You can then choose the available operation depending on the type of key you selected. For example, if the key type is 'string', then the available operation to choose from is 'matches'.

    The screenshot shows the conditional router transform tab with the filter condition fields for key, operation and value.

  5. Enter the value in the Value field. To add additional filter conditions, choose Add condition. To remove filter conditions, choose the trash can icon.