- DocumentDB SQL 教程
- DocumentDB SQL - 主页
- DocumentDB SQL - 概述
- 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 - 联接
- DocumentDB SQL - 别名
- DocumentDB SQL - 数组创建
- DocumentDB - 标量表达式
- DocumentDB SQL - 参数化
- 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 有用的资源
- DocumentDB SQL - 快速指南
- DocumentDB SQL - 有用的资源
- DocumentDB SQL - 讨论
DocumentDB SQL - Where 子句
在本章中,我们将介绍 WHERE 子句,它也是可选的,就像 FROM 子句一样。它用于指定一个条件,以 JSON 文档的形式获取源提供的数据。任何 JSON 文档都必须评估指定条件为“true”才能被视为结果。如果给定的条件得到满足,它才会以 JSON 文档的形式返回特定数据。我们可以使用 WHERE 子句来筛选记录并仅获取必要的记录。
在这个示例中,我们将考虑相同的三个文档。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 }
我们来看一个使用 WHERE 子句的简单示例。
在此查询中,在 WHERE 子句中指定了 (WHERE f.id = "WakefieldFamily") 条件。
SELECT * FROM f WHERE f.id = "WakefieldFamily"
当执行上述查询时,它将返回 WakefieldFamily 的完整 JSON 文档,如下面的输出所示。
[ { "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, "_rid": "Ic8LAJFujgECAAAAAAAAAA==", "_ts": 1450541623, "_self": "dbs/Ic8LAA==/colls/Ic8LAJFujgE=/docs/Ic8LAJFujgECAAAAAAAAAA==/", "_etag": "\"00000500-0000-0000-0000-567582370000\"", "_attachments": "attachments/" } ]
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