select

描述:查询顾客的公司名、地址信息

查询句法:

var 构建匿名类型1 = from c in ctx.Customers

select new

{

公司名 = c.CompanyName,

地址 = c.Address

};

对应SQL:

SELECT [t0].[CompanyName], [t0].[Address]

FROM [dbo].[Customers] AS [t0]

描述:查询职员的姓名和雇用年份

查询句法:

var 构建匿名类型2 = from emp in ctx.Employees

select new

{

姓名 = emp.LastName + emp.FirstName,

雇用年 = emp.HireDate.Value.Year

};

对应SQL:

SELECT [t0].[LastName] + [t0].[FirstName] AS [value], DATEPART(Year, [t0].[HireDate]) AS [value2]

FROM [dbo].[Employees] AS [t0]

描述:查询顾客的ID以及联系信息(职位和联系人)

查询句法:

var 构建匿名类型3 = from c in ctx.Customers

select new

{

ID = c.CustomerID,

联系信息 = new

{

职位 = c.ContactTitle,

联系人 = c.ContactName

}

};

对应SQL:

SELECT [t0].[CustomerID], [t0].[ContactTitle], [t0].[ContactName]

FROM [dbo].[Customers] AS [t0]

描述:查询订单号和订单是否超重的信息

查询句法:

var select带条件 = from o in ctx.Orders

select new

{

订单号 = o.OrderID,

是否超重 = o.Freight > 100 ? "是" : "否"

};

对应SQL:

SELECT [t0].[OrderID],

(CASE

WHEN [t0].[Freight] > @p0 THEN @p1

ELSE @p2

END) AS [value]

FROM [dbo].[Orders] AS [t0]

-- @p0: Input Currency (Size = 0; Prec = 19; Scale = 4) [100]

-- @p1: Input String (Size = 1; Prec = 0; Scale = 0) [是]

-- @p2: Input String (Size = 1; Prec = 0; Scale = 0) [否]

where

描述:查询顾客的国家、城市和订单数信息,要求国家是法国并且订单数大于5

查询句法:

var 多条件 = from c in ctx.Customers

where c.Country == "France" && c.Orders.Count > 5

select new

{

国家 = c.Country,

城市 = c.City,

订单数 = c.Orders.Count

};

对应SQL:

SELECT [t0].[Country], [t0].[City], (

SELECT COUNT(*)

FROM [dbo].[Orders] AS [t2]

WHERE [t2].[CustomerID] = [t0].[CustomerID]

) AS [value]

FROM [dbo].[Customers] AS [t0]

WHERE ([t0].[Country] = @p0) AND (((

SELECT COUNT(*)

FROM [dbo].[Orders] AS [t1]

WHERE [t1].[CustomerID] = [t0].[CustomerID]

)) > @p1)

-- @p0: Input String (Size = 6; Prec = 0; Scale = 0) [France]

-- @p1: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5]

orderby

描述:查询所有没有下属雇员的雇用年和名,按照雇用年倒序,按照名正序

查询句法:

var 排序 = from emp in ctx.Employees

where emp.Employees.Count == 0

orderby emp.HireDate.Value.Year descending, emp.FirstName ascending

select new

{

雇用年 = emp.HireDate.Value.Year,

名 = emp.FirstName

};

对应SQL:

SELECT DATEPART(Year, [t0].[HireDate]) AS [value], [t0].[FirstName]

FROM [dbo].[Employees] AS [t0]

WHERE ((

SELECT COUNT(*)

FROM [dbo].[Employees] AS [t1]

WHERE [t1].[ReportsTo] = [t0].[EmployeeID]

)) = @p0

ORDER BY DATEPART(Year, [t0].[HireDate]) DESC, [t0].[FirstName]

-- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [0]

分页

描述:按照每页10条记录,查询第二页的顾客

查询句法:

var 分页 = (from c in ctx.Customers select c).Skip(10).Take(10);

对应SQL:

SELECT TOP 10 [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax]

FROM (

SELECT ROW_NUMBER() OVER (ORDER BY [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]) AS [ROW_NUMBER], [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

) AS [t1]

WHERE [t1].[ROW_NUMBER] > @p0

-- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [10]

分组

描述:根据顾客的国家分组,查询顾客数大于5的国家名和顾客数

查询句法:

var 一般分组 = from c in ctx.Customers

group c by c.Country into g

where g.Count() > 5

orderby g.Count() descending

select new

{

国家 = g.Key,

顾客数 = g.Count()

};

对应SQL:

SELECT [t1].[Country], [t1].[value3] AS [顾客数]

FROM (

SELECT COUNT(*) AS [value], COUNT(*) AS [value2], COUNT(*) AS [value3], [t0].[Country]

FROM [dbo].[Customers] AS [t0]

GROUP BY [t0].[Country]

) AS [t1]

WHERE [t1].[value] > @p0

ORDER BY [t1].[value2] DESC

-- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5]

描述:根据国家和城市分组,查询顾客覆盖的国家和城市

查询句法:

var 匿名类型分组 = from c in ctx.Customers

group c by new { c.City, c.Country } into g

orderby g.Key.Country, g.Key.City

select new

{

国家 = g.Key.Country,

城市 = g.Key.City

};

对应SQL:

SELECT [t1].[Country], [t1].[City]

FROM (

SELECT [t0].[City], [t0].[Country]

FROM [dbo].[Customers] AS [t0]

GROUP BY [t0].[City], [t0].[Country]

) AS [t1]

ORDER BY [t1].[Country], [t1].[City]

描述:按照是否超重条件分组,分别查询订单数量

查询句法:

var 按照条件分组 = from o in ctx.Orders

group o by new { 条件 = o.Freight > 100 } into g

select new

{

数量 = g.Count(),

是否超重 = g.Key.条件 ? "是" : "否"

};

对应SQL:

SELECT

(CASE

WHEN [t2].[value2] = 1 THEN @p1

ELSE @p2

END) AS [value], [t2].[value] AS [数量]

FROM (

SELECT COUNT(*) AS [value], [t1].[value] AS [value2]

FROM (

SELECT

(CASE

WHEN [t0].[Freight] > @p0 THEN 1

WHEN NOT ([t0].[Freight] > @p0) THEN 0

ELSE NULL

END) AS [value]

FROM [dbo].[Orders] AS [t0]

) AS [t1]

GROUP BY [t1].[value]

) AS [t2]

-- @p0: Input Currency (Size = 0; Prec = 19; Scale = 4) [100]

-- @p1: Input String (Size = 1; Prec = 0; Scale = 0) [是]

-- @p2: Input String (Size = 1; Prec = 0; Scale = 0) [否]

distinct

描述:查询顾客覆盖的国家

查询句法:

var 过滤相同项 = (from c in ctx.Customers orderby c.Country select c.Country).Distinct();

对应SQL:

SELECT DISTINCT [t0].[Country]

FROM [dbo].[Customers] AS [t0]

union

描述:查询城市是A打头和城市包含A的顾客并按照顾客名字排序

查询句法:

var 连接并且过滤相同项 = (from c in ctx.Customers where c.City.Contains("A") select c).Union

(from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName);

对应SQL:

SELECT [t3].[CustomerID], [t3].[CompanyName], [t3].[ContactName], [t3].[ContactTitle], [t3].[Address], [t3].[City], [t3].[Region], [t3].[PostalCode], [t3].[Country], [t3].[Phone], [t3].[Fax]

FROM (

SELECT [t2].[CustomerID], [t2].[CompanyName], [t2].[ContactName], [t2].[ContactTitle], [t2].[Address], [t2].[City], [t2].[Region], [t2].[PostalCode], [t2].[Country], [t2].[Phone], [t2].[Fax]

FROM (

SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

WHERE [t0].[City] LIKE @p0

UNION

SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax]

FROM [dbo].[Customers] AS [t1]

WHERE [t1].[ContactName] LIKE @p1

) AS [t2]

) AS [t3]

ORDER BY [t3].[ContactName]

-- @p0: Input String (Size = 3; Prec = 0; Scale = 0) [%A%]

-- @p1: Input String (Size = 2; Prec = 0; Scale = 0) [A%]

concat

描述:查询城市是A打头和城市包含A的顾客并按照顾客名字排序,相同的顾客信息不会过滤

查询句法:

var 连接并且不过滤相同项 = (from c in ctx.Customers where c.City.Contains("A") select c).Concat

(from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName);

对应SQL:

SELECT [t3].[CustomerID], [t3].[CompanyName], [t3].[ContactName], [t3].[ContactTitle], [t3].[Address], [t3].[City], [t3].[Region], [t3].[PostalCode], [t3].[Country], [t3].[Phone], [t3].[Fax]

FROM (

SELECT [t2].[CustomerID], [t2].[CompanyName], [t2].[ContactName], [t2].[ContactTitle], [t2].[Address], [t2].[City], [t2].[Region], [t2].[PostalCode], [t2].[Country], [t2].[Phone], [t2].[Fax]

FROM (

SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

WHERE [t0].[City] LIKE @p0

UNION ALL

SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax]

FROM [dbo].[Customers] AS [t1]

WHERE [t1].[ContactName] LIKE @p1

) AS [t2]

) AS [t3]

ORDER BY [t3].[ContactName]

-- @p0: Input String (Size = 3; Prec = 0; Scale = 0) [%A%]

-- @p1: Input String (Size = 2; Prec = 0; Scale = 0) [A%]

取相交项

描述:查询城市是A打头的顾客和城市包含A的顾客的交集,并按照顾客名字排序

查询句法:

var 取相交项 = (from c in ctx.Customers where c.City.Contains("A") select c).Intersect

(from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName);

对应SQL:

SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax]

FROM (

SELECT DISTINCT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

) AS [t1]

WHERE (EXISTS(

SELECT NULL AS [EMPTY]

FROM [dbo].[Customers] AS [t2]

WHERE ([t1].[CustomerID] = [t2].[CustomerID]) AND ([t2].[ContactName] LIKE @p0)

)) AND ([t1].[City] LIKE @p1)

ORDER BY [t1].[ContactName]

-- @p0: Input String (Size = 2; Prec = 0; Scale = 0) [A%]

-- @p1: Input String (Size = 3; Prec = 0; Scale = 0) [%A%]

排除相交项

描述:查询城市包含A的顾客并从中删除城市以A开头的顾客,并按照顾客名字排序

查询句法:

var 排除相交项 = (from c in ctx.Customers where c.City.Contains("A") select c).Except

(from c in ctx.Customers where c.ContactName.StartsWith("A") select c).OrderBy(c => c.ContactName);

对应SQL:

SELECT [t1].[CustomerID], [t1].[CompanyName], [t1].[ContactName], [t1].[ContactTitle], [t1].[Address], [t1].[City], [t1].[Region], [t1].[PostalCode], [t1].[Country], [t1].[Phone], [t1].[Fax]

FROM (

SELECT DISTINCT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

) AS [t1]

WHERE (NOT (EXISTS(

SELECT NULL AS [EMPTY]

FROM [dbo].[Customers] AS [t2]

WHERE ([t1].[CustomerID] = [t2].[CustomerID]) AND ([t2].[ContactName] LIKE @p0)

))) AND ([t1].[City] LIKE @p1)

ORDER BY [t1].[ContactName]

-- @p0: Input String (Size = 2; Prec = 0; Scale = 0) [A%]

-- @p1: Input String (Size = 3; Prec = 0; Scale = 0) [%A%]

子查询

描述:查询订单数超过5的顾客信息

查询句法:

var 子查询 = from c in ctx.Customers

where

(from o in ctx.Orders group o by o.CustomerID into o where o.Count() > 5 select o.Key).Contains(c.CustomerID)

select c;

对应SQL:

SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

WHERE EXISTS(

SELECT NULL AS [EMPTY]

FROM (

SELECT COUNT(*) AS [value], [t1].[CustomerID]

FROM [dbo].[Orders] AS [t1]

GROUP BY [t1].[CustomerID]

) AS [t2]

WHERE ([t2].[CustomerID] = [t0].[CustomerID]) AND ([t2].[value] > @p0)

)

-- @p0: Input Int32 (Size = 0; Prec = 0; Scale = 0) [5]

in操作

描述:查询指定城市中的客户

查询句法:

var in操作 = from c in ctx.Customers

where new string[] { "Brandenburg", "Cowes", "Stavern" }.Contains(c.City)

select c;

对应SQL:

SELECT [t0].[CustomerID], [t0].[CompanyName], [t0].[ContactName], [t0].[ContactTitle], [t0].[Address], [t0].[City], [t0].[Region], [t0].[PostalCode], [t0].[Country], [t0].[Phone], [t0].[Fax]

FROM [dbo].[Customers] AS [t0]

WHERE [t0].[City] IN (@p0, @p1, @p2)

-- @p0: Input String (Size = 11; Prec = 0; Scale = 0) [Brandenburg]

-- @p1: Input String (Size = 5; Prec = 0; Scale = 0) [Cowes]

-- @p2: Input String (Size = 7; Prec = 0; Scale = 0) [Stavern]

join

描述:内连接,没有分类的产品查询不到

查询句法:

var innerjoin = from p in ctx.Products

join c in ctx.Categories

on p.CategoryID equals c.CategoryID

select p.ProductName;

对应SQL:

SELECT COUNT(*) AS [value]

FROM [dbo].[Products] AS [t0]

INNER JOIN [dbo].[Categories] AS [t1] ON [t0].[CategoryID] = ([t1].[CategoryID])

描述:外连接,没有分类的产品也能查询到

查询句法:

var leftjoin = from p in ctx.Products

join c in ctx.Categories

on p.CategoryID equals c.CategoryID

into pro

from x in pro.DefaultIfEmpty()

select p.ProductName;

对应SQL:

SELECT COUNT(*) AS [value]

FROM [dbo].[Products] AS [t0]

LEFT OUTER JOIN [dbo].[Categories] AS [t1] ON [t0].[CategoryID] = ([t1].[CategoryID])

你可能会很奇怪,原先很复杂的SQL使用查询句法会很简单(比如按照条件分组)。但是原先觉得很好理解的SQL使用查询句法会觉得很复杂(比如连接查询)。其实,我们还可以通过其它方式进行连接操作,在以后说DataLoadOptions类型的时候会再说。虽然Linq to sql已经非常智能了,但是对于非常复杂的查询还是建议通过存储过程实现,下次讲解如何调用存储过程。

一步一步学Linq to sql(四):查询句法的更多相关文章

  1. (转载)一步一步学Linq to sql系列文章

    现在Linq to sql的资料还不是很多,本人水平有限,如果有错或者误导请指出,谢谢. 一步一步学Linq to sql(一):预备知识 一步一步学Linq to sql(二):DataContex ...

  2. 一步一步学Linq to sql(五):存储过程

    普通存储过程 首先在查询分析器运行下面的代码来创建一个存储过程: create proc sp_singleresultset as set nocount on select * from cust ...

  3. 一步一步学Linq to sql(六):探究特性

    延迟执行 IQueryable query = from c in ctx.Customers select c; 这样的查询句法不会导致语句立即执行,它仅仅是一个描述,对应一个SQL.仅仅在需要使用 ...

  4. 步步学LINQ to SQL:为实体类添加关系【转】

    [IT168 专稿]本文详细为你阐述了如何在你的应用程序中实现LINQ to SQL.附件的示例程序包括了这里探讨的所有代码,还提供了一个简单的WPF图形界面程序来显示通过数据绑定返回的结果集. 第一 ...

  5. 步步学LINQ to SQL:使用LINQ检索数据【转】

    [IT168 专稿]该系列教程描述了如何采用手动的方式映射你的对象类到数据表(而不是使用象SqlMetal这样的自动化工具)以便能够支持数据表之间的M:M关系和使用实体类的数据绑定.即使你选择使用了自 ...

  6. 步步学LINQ to SQL:将类映射到数据库表【转】

    [IT168 专稿]该系列教程描述了如何采用手动的方式映射你的对象类到数据表(而不是使用象SqlMetal这样的自动化工具)以便能够支持数据表之间的M:M关系和使用实体类的数据绑定.即使你选择使用了自 ...

  7. Linq to SQL 语法查询(链接查询,子查询 & in操作 & join,分组统计等)

    Linq to SQL 语法查询(链接查询,子查询 & in操作 & join,分组统计等) 子查询 描述:查询订单数超过5的顾客信息 查询句法: var 子查询 = from c i ...

  8. 一步一步学Linq to sql(三):增删改

    示例数据库 字段名 字段类型 允许空 字段说明 ID uniqueidentifier 表主键字段 UserName varchar(50) 留言用户名 PostTime datetime 留言时间 ...

  9. 一步一步学Linq to sql(二):DataContext与实体

    DataContext DataContext类型(数据上下文)是System.Data.Linq命名空间下的重要类型,用于把查询句法翻译成SQL语句,以及把数据从数据库返回给调用方和把实体的修改写入 ...

随机推荐

  1. 再回首数据结构—AVL树(一)

    前面所讲的二叉搜索树有个比较严重致命的问题就是极端情况下当数据以排序好的顺序创建搜索树此时二叉搜索树将退化为链表结构因此性能也大幅度下降,因此为了解决此问题我们下面要介绍的与二叉搜索树非常类似的结构就 ...

  2. 3676: [Apio2014]回文串

    3676: [Apio2014]回文串 Time Limit: 20 Sec Memory Limit: 128 MB Submit: 1740 Solved: 744 [Submit][Status ...

  3. HDU 1757 A Simple Math Problem 【矩阵经典7 构造矩阵递推式】

    任意门:http://acm.hdu.edu.cn/showproblem.php?pid=1757 A Simple Math Problem Time Limit: 3000/1000 MS (J ...

  4. 【遥感专题系列】微波遥感(三、SAR图像特征)

    SAR是主动式侧视雷达系统,且成像几何属于斜距投影类型.因此SAR图像与光学图像在成像机理.几何特征.辐射特征等方面都有较大的区别.在进行SAR图像处理和应用前,需要了解SAR图像的基本特征. 本文主 ...

  5. 【洛谷P2921】[USACO08DEC]在农场万圣节

    在农场万圣节Trick or Treat on the Farm 题目链接 题解:首先,将原图缩点,变为DAG, 然后在DAG上记忆化搜索即可 #include<iostream> #in ...

  6. 【Linux-CentOS】在无互联网-内网环境的Windows7主机上安装CentOS双系统,从安装到放弃

    2018.12.3 日更新:本文仅作为无互联网环境下安装的参考.更推荐在互联网环境下安装软件和使用系统,毕竟会自动安装依赖包,比较方便. 因个人办公电脑装的盗版Win7总是蓝屏,影响工作,加之看到 W ...

  7. 缓存&跨域

    一.前端本地缓存的几种实现方式了解一下 缓存的几种实现方式 序号 名称 参考资料 1 serviceWorker  https://blog.csdn.net/ztguang/article/deta ...

  8. [Windows]ping itsafe&环境变量

    (1)when you ping a computer from itsafe,the ping command should return the local IP address. (2)wind ...

  9. Long数组转String数组

    public static String[] longToString(Long longArray[]) { if (longArray == null || longArray.length &l ...

  10. 一个logstash引发的连环案,关于logstash提示:Reached open files limit: 4095, set by the 'max_open_files' option or default, files yet to open: 375248

    不多说,直接上问题.版本logstash-2.4.0,启动后提示错误: !!! Please upgrade your java version, the current version '1.7.0 ...