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/"
   }
]