Map JSON List or Object Flow Step
Use the Map JSON List or Object flow step (Map step, for short) to align data between connectors.
Before you can send data back and forth, you may need to map fields so that both connectors will be able to properly sync, send, and receive data. The Map step helps you do this.
Select MiniMap at the top right Edit Step window to view a high-level outline of all the properties and arrays you enter in the Map step. Hover over a property name to see the value. Or select any item in the MiniMap to jump directly to it in the step editor.
Step Inputs
In the Edit Step menu, you can add details about the step configuration as needed for your flow.
Step Detail
List or Object: Define the collection of data you want to map. This value is typically an expression that either identifies a previous step’s output or the trigger event information that triggered the flow. For example, flow.step('get-all-employees-from-payroll').output;.
Select Add Item and enter values in the appropriate fields to add a new mapping rule. Select the trash can icon to delete a mapping rule.
Array Map: Enable this option to create a nested array or object. Nested maps work exactly like standard maps: identify a List or Object, name the output properties, and set their values.
Property Name: Enter a name for the property you want to create or write to as an output of this step.
Value: Define how this property gets its data. Enter an expression, string, integer, or true/false statement in this field.
Step Outputs
The output of the Map step is the mapped fields between systems—the properties and associated values that you named in the Step Details section.
This step returns an array containing the mapped fields. If no objects matched, the array will be empty. To access a property within a matched object, use its index (e.g., [0] for the first matching object, [1] for the second matching object, and so on).
For some Map steps, the output is straight mapping, pointing one property to its equivalent in the other system. For other Map steps, the output includes new properties and values you defined in the Step Details section.
The following step statuses may result after running the Map step.
SUCCESSFUL: Occurs when data successfully maps from one system to another.
EXCEPTION: Occurs when there is an exception that causes the step to fail. Because the step has failed, the flow cannot be completed. Check the flow run details to see the exception error message, as seen in Figure 1. It lists the failed step, property names causing issues, and reasons for the exception.
FAILED: Occurs when data cannot map from one system to another and the flow fails.
Example Use Case
For an example use case of the map step, assume you need to move employee age and birthdate data from a payroll system into an HR system. The payroll system has a birthdate field but no age field, while the HR system has both birthdate and age fields. You can use the Map step to add an Age property for every employee based on the birthdate property.
Assuming you have a previous step in the flow that retrieves the necessary employee data from the payroll system. You can reference it in the List or Object field using the expression, flow.step('get-all-employees-from-payroll').output;.
You can then define the new Age property you want to map data to. In this case, you can use JavaScript libraries and flow helpers to base this new value on the existing birthday field. Note the use of flow.mapItem() to access the iteration data since it is inside a map step.
To map the Birthdate property to the Emp_Birthdate property, enter the Property Name and Value as follows.
Your map step is now configured to move your employee age and birthdate data from your payroll system to your HR system.
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