DocumentDB SQL - In Keyword

The IN keyword can be used to check whether a specified value matches any value in a list. The IN operator allows you to specify multiple values in a WHERE clause. IN is equivalent to chaining multiple OR clauses.

The similar three documents are considered as done in earlier examples. Following is the AndersenFamily document.

{ 
   "id": "AndersenFamily", 
   "lastName": "Andersen",
	
   "parents": [ 
      { "firstName": "Thomas", "relationship":  "father" }, 
      { "firstName": "Mary Kay", "relationship":  "mother" } 
   ], 
	
   "children": [ 
      { 
         "firstName": "Henriette Thaulow", 
         "gender": "female", 
         "grade": 5, 
         "pets": [ { "givenName": "Fluffy", "type":  "Rabbit" } ] 
      } 
   ], 
	
   "location": { "state": "WA", "county": "King", "city": "Seattle" }, 
   "isRegistered": true 
}

Following is the SmithFamily document.

{ 
   "id": "SmithFamily", 
	
   "parents": [ 
      { "familyName": "Smith", "givenName": "James" }, 
      { "familyName": "Curtis", "givenName": "Helen" } 
   ],
	
   "children": [ 
      {
         "givenName": "Michelle", 
         "gender": "female", 
         "grade": 1 
      },
		
      { 
         "givenName": "John", 
         "gender": "male", 
         "grade": 7,
			
         "pets": [ 
            { "givenName": "Tweetie", "type": "Bird" } 
         ] 
      } 
   ],
   
   "location": { 
      "state": "NY", 
      "county": "Queens", 
      "city": "Forest Hills" 
   },
	
   "isRegistered": true 
}

Following is the WakefieldFamily document.

{ 
   "id": "WakefieldFamily", 
	
   "parents": [ 
      { "familyName": "Wakefield", "givenName": "Robin" }, 
      { "familyName": "Miller", "givenName": "Ben" } 
   ],
   
   "children": [ 
      { 
         "familyName": "Merriam", 
         "givenName": "Jesse", 
         "gender": "female", 
         "grade": 6, 
			
         "pets": [ 
            { "givenName": "Charlie Brown", "type": "Dog" }, 
            { "givenName": "Tiger", "type": "Cat" },
            { "givenName": "Princess", "type": "Cat" } 
         ] 
      }, 
		
      { 
         "familyName": "Miller", 
         "givenName": "Lisa", 
         "gender": "female", 
         "grade": 3,
			
         "pets": [ 
            { "givenName": "Jake", "type": "Snake" } 
         ] 
      } 
   ],
   
   "location": { "state": "NY", "county": "Manhattan", "city": "NY" }, 
   "isRegistered": false 
}

Let’s take a look at a simple example.

Following is the query which will retrieve the data whose familyName is either “Smith” or Wakefield.

SELECT * 
FROM Families.parents[0] f 
WHERE f.familyName IN ('Smith', 'Wakefield')

When the above query is executed, it produces the following output.

[ 
   { 
      "familyName": "Wakefield", 
      "givenName": "Robin" 
   }, 
	
   { 
      "familyName": "Smith", 
      "givenName": "James" 
   } 
]

Let’s consider another simple example in which all family documents will be retrieved where the id is one of "SmithFamily" or "AndersenFamily". Following is the query.

SELECT * 
FROM Families  
WHERE Families.id IN ('SmithFamily', 'AndersenFamily')

When the above query is executed, it produces the following output.

[ 
   { 
      "id": "SmithFamily", 
      "parents": [ 
         { 
            "familyName": "Smith", 
            "givenName": "James" 
         }, 
			
         { 
            "familyName": "Curtis", 
            "givenName": "Helen"
         } 
      ], 
	  
      "children": [ 
         { 
            "givenName": "Michelle", 
            "gender": "female", 
            "grade": 1 
         },
			
         { 
            "givenName": "John", 
            "gender": "male", 
            "grade": 7,
				
            "pets": [ 
               { 
                  "givenName": "Tweetie", 
                  "type": "Bird" 
               }  
            ] 
         } 
      ], 
	  
      "location": { 
         "state": "NY", 
         "county": "Queens", 
         "city": "Forest Hills" 
      },
	  
      "isRegistered": true, 
      "_rid": "Ic8LAJFujgEDAAAAAAAAAA==", 
      "_ts": 1450541623, 
      "_self": "dbs/Ic8LAA==/colls/Ic8LAJFujgE=/docs/Ic8LAJFujgEDAAAAAAAAAA==/", 
      "_etag": "\"00000600-0000-0000-0000-567582370000\"", 
      "_attachments": "attachments/" 
   },
	
   { 
      "id": "AndersenFamily", 
      "lastName": "Andersen", 
		
      "parents": [ 
         { 
            "firstName": "Thomas", 
            "relationship": "father"
         },
			
         { 
            "firstName": "Mary Kay", 
            "relationship": "mother" 
         } 
      ],
	  
      "children": [ 
         { 
            "firstName": "Henriette Thaulow", 
            "gender": "female", 
            "grade": 5,
				
            "pets": [ 
               { 
                  "givenName": "Fluffy", 
                  "type": "Rabbit" 
               } 
            ] 
         } 
      ],
	  
      "location": {      
         "state": "WA", 
         "county": "King", 
         "city": "Seattle"    
      },
	  
      "isRegistered": true, 
      "_rid": "Ic8LAJFujgEEAAAAAAAAAA==", 
      "_ts": 1450541624, 
      "_self": "dbs/Ic8LAA==/colls/Ic8LAJFujgE=/docs/Ic8LAJFujgEEAAAAAAAAAA==/", 
      "_etag": "\"00000700-0000-0000-0000-567582380000\"", 
      "_attachments": "attachments/" 
   }
]