DocumentDB SQL - From 子句

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在本章中，我们将介绍 FROM 子句，它的工作方式与常规 SQL 中的标准 FROM 子句完全不同。

查询总是在特定集合的上下文中运行，并且不能跨集合内的文档进行连接，这让我们想知道为什么需要 FROM 子句。事实上，我们没有，但如果我们不包含它，那么我们就不会查询集合中的文档。

该子句的目的是指定查询必须操作的数据源。通常，整个集合是源，但也可以指定集合的​​子集。FROM <from_specation> 子句是可选的，除非稍后在查询中过滤或投影源。

让我们再看一下同一个例子。以下是AndersenFamily文档。

{ 
   "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 
}

以下是史密斯家族的文件。

{ 
   "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 
} 

以下是WakefieldFamily文档。

{ 
   "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 
} 

在上面的查询中，“ SELECT * FROM c ”表示整个 Families 集合是要枚举的源。

子文档

源也可以缩减为更小的子集。当我们只想检索每个文档中的子树时，子根可以成为源，如下例所示。

当我们运行以下查询时 -

SELECT * FROM Families.parents

将检索以下子文档。

[ 
   [ 
      { 
         "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" 
      } 
   ] 
]

作为此查询的结果，我们可以看到仅检索了父子文档。