Examples of data models using JSON sample

You can create a data model for simple JSON strings, with strings having nested objects, multiple objects, and an array of data.

This topic provides examples of data models that are based on sample JSON strings using the employee details for the different data models.

Example of a simple string

This sample includes employee details, such as name, job, id, and created at.

{
    "name": "Morpheush",
    "job": "Leader",
    "id": "199",
    "createdAt": "2020-02-20T11:00:28.107Z"
}

The above JSON sample creates the following 'Employee' model.

Field Name	Field Type
Name	String
Job	String
ID	String
CreatedAt	Date

Example of a string with a nested object

In addition to the simple employee details, this sample includes 'contactdetails' as a nested object, which includes Phone and Email fields.

{
    "name": "Morpheus",
    "job": "Leader",
    "id": "199",
    "createdAt": "2020-02-20T11:00:28.107Z"
    "contactdetails": {
	          "phone”:”8439743294793",
          	"email":"test@abc.com"
	         }
}

The above JSON sample creates the following structure.

Field Name	Field Type
Name	String
Job	String
ID	String
CreatedAt	Date
Contact details Phone Email	Object String String

Example of a string with multiple objects

This sample includes two objects: Address and Profile.

{
 "empid": "SJ011MS",
 "personal":
  {
  "name":"Smith Jones",
  "gender":"Male",
  "age": 28,
  "address":
   {
   "streetaddress":"724th Street",
   "city":"New York",
   "state": "NY",
   "postalcode":"10038"
   }
  },
 "profile":
  {
  "designation":"Deputy General",
  "department":"Finance"
  }
}

The above JSON sample creates the following structure.

Field Name	Field Type
Empid	String
Personal	String
Name	String
Gender	String
Age	Numeric
Address Streetaddress City Postcode State	Object String String String String
Profile Designation Department	Object String String

Example of a string with an array of data

This sample includes a list of data to be included on a page.

{ 
 "page": 1, 
 "per_page": 6, 
 "total": 12, 
 "total_pages":14, 
 "data": [
     {
      "id": 1,
      "name": "cerulean",
      "year": 2000,
      "color": "#98B2D1",
      "pantone_value": "15-4020"
     },
     {
      "id": 2,
      "name": "fuchsia rose", 
      "year": 2001, 
      "color": "#C74375",
      "pantone_value": "17-2031"
     },
     {
      "id": 3, 
      "name": "true red", 
      "year": 2002, 
      "color": "#BF1932", 
      "pantone_value": "19-1664" 
     }, 
     {
      "id": 4, 
      "name": "aqua sky",
      "year": 2003,
      "color": "#7BC4C4",
      "pantone_value": "14-4811"
     },
     { 
      "id": 5,
      "year": 2004, 
      "color": "#E2583E", 
      "pantone_value": "17-1456" 
     },
     {  
      "id": 6, 
      "name": "blue turquoise", 
      "year": 2005,            
      "color": "#53B0AE",
      "pantone_value": "15-5217"
     }
      ]
}

The above JSON sample creates the following structure.

Field Name	Field Type
Page	Numeric
Per_page	Numeric
Total	Numeric
Total_pages	Numeric
Data id Name Year Color Pantone_value	Complex String Numeric String String String