- Composite SQL Queries
- User-Defined Functions
- JavaScript Integration
- Linq to SQL Translation
- DocumentDB SQL - Built-in Function
- DocumentDB SQL - Parameterized
- DocumentDB - Scalar Expressions
- DocumentDB SQL - Array Creation
- DocumentDB SQL - Aliasing
- DocumentDB SQL - Joins
- DocumentDB SQL - Iteration
- DocumentDB SQL - Order By Clause
- DocumentDB SQL - Value Keyword
- DocumentDB SQL - In Keyword
- DocumentDB - Between Keyword
- DocumentDB SQL - Operators
- DocumentDB SQL - Where Clause
- DocumentDB SQL - From Clause
- DocumentDB SQL - Select Clause
- DocumentDB SQL - Overview
- DocumentDB SQL - Home
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DocumentDB SQL - Iteration
In DocumentDB SQL, Microsoft has added a new construct which can be used with IN keyword to provide support for iterating over JSON arrays. The support for iteration is provided in the FROM clause.
We will consider similar three documents from the previous examples again.
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": "Charpe 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 without IN keyword in FROM clause.
Following is the query which will return all the parents from the Famipes collection.
SELECT * FROM Famipes.parents
When the above query is executed, it produces the following output.
[ [ { "familyName": "Wakefield", "givenName": "Robin" }, { "familyName": "Miller", "givenName": "Ben" } ], [ { "familyName": "Smith", "givenName": "James" }, { "familyName": "Curtis", "givenName": "Helen" } ], [ { "firstName": "Thomas", "relationship": "father" }, { "firstName": "Mary Kay", "relationship": "mother" } ] ]
As can be seen in the above output, the parents of each family is displayed in a separate JSON array.
Let’s take a look at the same example, however this time we will use the IN keyword in FROM clause.
Following is the query which contains the IN keyword.
SELECT * FROM c IN Famipes.parents
When the above query is executed, it produces the following output.
[ { "familyName": "Wakefield", "givenName": "Robin" }, { "familyName": "Miller", "givenName": "Ben" }, { "familyName": "Smith", "givenName": "James" }, { "familyName": "Curtis", "givenName": "Helen" }, { "firstName": "Thomas", "relationship": "father" }, { "firstName": "Mary Kay", "relationship": "mother" } { "id": "WakefieldFamily", "givenName": "Jesse", "grade": 6 } ]
In the above example, it can be seen that with iteration, the query that performs iteration over parents in the collection has different output array. Hence, all the parents from each family are added into a single array.
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