When a model that is based on a JSON, XML, or XSD file contains nested repeating groups, that is, repeating groups within repeating groups,

Intelligent Structure Discovery

assigns each nested repeating group to its own output group. For models that are based on other input types, you can manually assign nested repeating groups to their output groups. You can assign all nested repeating groups to their output groups by normalizing the data in the model, or you can assign individual nested repeating groups to their output groups by promoting them. Assigning nested repeating groups to their output groups reduces the number of ports in the model.

For example, you create a model based on the following JSON input:

{
  "CompanyID": 210850,
  "Name": "Tollers Shipping",
  "Address": "701 Natash Ave.",
  "City": "San Diego",
  "Department": [
    {
      "Domain": "Logistics",
      "Identifier": "21973b77",
      "Employees": [
        {
          "name": "Sujitha Naarana",
          "employeeID": "2100Z9"
        },
        {
          "name": "Dwain Lord",
          "employeeID": "34t001"
        }
      ],
    },
			{
      "Domain": "Accounting",
      "Identifier": "301ad177",
      "Employees": [
        {
          "name": "LeTroy Prince",
          "employeeID": "31910a"
        }
      ]
    }
  ]
}

The following image shows the structure that

Intelligent Structure Discovery

discovers:

The structure contains a nested repeating group. The top level repeating group is

Department

. Each

Department

group contains an

Employees

repeating group that contains an

Employee

group node. The

Employee

group node contains

name

and

employeeID

child nodes.

A repeating group is displayed in the Visual Model with three overlapping circles for the parent node.

The following image shows the

Employees

repeating group: