- DocumentDB SQL 教程
- DocumentDB SQL - 主页
- DocumentDB SQL - 概览
- DocumentDB SQL - SELECT 子句
- DocumentDB SQL - FROM 子句
- DocumentDB SQL - WHERE 子句
- DocumentDB SQL - 运算符
- DocumentDB - BETWEEN 关键字
- DocumentDB SQL - IN 关键字
- DocumentDB SQL - VALUE 关键字
- DocumentDB SQL - ORDER BY 子句
- DocumentDB SQL - 迭代
- DocumentDB SQL - 联接
- DocumentDB SQL - 别名
- DocumentDB SQL - 数组创建
- DocumentDB - 标量表达式
- DocumentDB SQL - 带参数
- DocumentDB SQL - 内置函数
- LINQ 到 SQL 转换
- JavaScript 集成
- 用户定义函数
- 复合 SQL 查询
- DocumentDB SQL 有用资源
- DocumentDB SQL - 快速指南
- DocumentDB SQL - 有用资源
- DocumentDB SQL - 讨论
DocumentDB SQL - IN 关键字
IN 关键字可用于检查指定值是否与列表中的任何值匹配。IN 运算符允许你在 WHERE 子句中指定多个值。IN 等效于链接多个 OR 子句。
将之前示例中处理过的三个文档视为相似。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 SmithFamily 文档。
{
"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
}
我们来看一个简单的示例。
以下是将检索其 familyName 为“Smith”或 Wakefield 的数据的查询。
SELECT *
FROM Families.parents[0] f
WHERE f.familyName IN ('Smith', 'Wakefield')
当执行上述查询时,它会产生以下输出。
[
{
"familyName": "Wakefield",
"givenName": "Robin"
},
{
"familyName": "Smith",
"givenName": "James"
}
]
让我们考虑另一个简单示例,其中所有家庭文档都将被检索,其中 id 为“SmithFamily”或“AndersenFamily”。以下是查询。
SELECT *
FROM Families
WHERE Families.id IN ('SmithFamily', 'AndersenFamily')
当执行上述查询时,它会产生以下输出。
[
{
"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/"
}
]
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