在这篇文章中,讲解如何使用Dapper使用Inner join的操作
1、新创建两张表:Users表和Product表
Users表定义如下:
CREATE TABLE [dbo].[Users]( [UserId] [int] IDENTITY(1,1) NOT NULL, [UserName] [varchar](16) NULL, [Email] [varchar](32) NULL, [Address] [varchar](128) NULL, PRIMARY KEY CLUSTERED ( [UserId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO
Product表定义如下:
CREATE TABLE [dbo].[Product]( [ProductId] [int] IDENTITY(1,1) NOT NULL, [ProductName] [varchar](16) NULL, [Price] [decimal](8, 2) NULL, [UserId] [int] NULL, PRIMARY KEY CLUSTERED ( [ProductId] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO
查看Users表和Product表会发现两张表通过UserId外键关联起来,然后我们需要在Product实体类上面进行修改,添加一个User的实体属性,修改后的代码如下:
1 using System; 2 using System.Collections.Generic; 3 using System.Linq; 4 using System.Text; 5 using System.Threading.Tasks; 6 7 namespace DapperApplicationJoin.Model 8 { 9 public class Product 10 { 11 public int ProductId { get; set; } 12 13 public string ProductName { get; set; } 14 15 public User UserOwner { get; set; } 16 17 public string Price { get; set; } 18 } 19 }
User实体类定义如下:
1 using System; 2 using System.Collections.Generic; 3 using System.Linq; 4 using System.Text; 5 using System.Threading.Tasks; 6 7 namespace DapperApplicationJoin.Model 8 { 9 public class User 10 { 11 public int UserId { get; set; } 12 13 public string UserName { get; set; } 14 15 public string Email { get; set; } 16 17 public string Address { get; set; } 18 } 19 }
2、Main方法定义如下
1 using System; 2 using System.Collections.Generic; 3 using System.Linq; 4 using System.Text; 5 using System.Threading.Tasks; 6 using System.Configuration; 7 using System.Data; 8 using System.Data.SqlClient; 9 using Dapper; 10 using DapperApplicationJoin.Model; 11 12 namespace DapperApplicationJoin 13 { 14 class Program 15 { 16 static void Main(string[] args) 17 { 18 string conn = ConfigurationManager.ConnectionStrings["AppConnection"].ConnectionString; 19 using (IDbConnection connection = new SqlConnection(conn)) 20 { 21 string sql = @" 22 select p.ProductName,p.Price,u.UserName,u.UserId,u.Email,u.Address 23 from Product as p 24 join Users as u 25 on p.UserId=u.UserId; 26 "; 27 28 var result = connection.Query<Product, User, Product>(sql, 29 (product, users) => 30 { 31 product.UserOwner = users; return product; 32 }, splitOn: "UserName"); 33 var query = connection.Query(sql); 34 // 输出 使用动态类型 35 query.AsList().ForEach(p => 36 { 37 Console.WriteLine("产品名称:" + p.ProductName + ",产品价格:" + p.Price + ",用户姓名:" + p.UserName); 38 }); 39 } 40 41 Console.ReadKey(); 42 } 43 } 44 }
splitOn参数的含义:代码中的splitOn
是UserName,运行时,会从查询结果所有字段列表的最后一个字段开始进行匹配,一直到找到UserName这个字段(大小写忽略无所谓),找到的第一个
UserName字段匹配的Product类的UserName属性,那么从UserName到最后一个字段都属于Product
,UserName以前的字段都被影射到Users,
通过
(T, P) => {return T; },
把两个类的实例解析出来。就实现了两个数据的解析,要不然dapper也不知道哪个是Product哪个是Users的属性。
除了可以使用上面的方法以外,还可以使用直接查询SQL语句的方式:
using (IDbConnection connection = new SqlConnection(conn)) { string sql = @" select p.ProductName,p.Price,u.UserName,u.UserId,u.Email,u.Address from Product as p join Users as u on p.UserId=u.UserId; "; var query = connection.Query(sql); // 输出 使用动态类型 query.AsList().ForEach(p => { Console.WriteLine("产品名称:" + p.ProductName + ",产品价格:" + p.Price + ",用户姓名:" + p.UserName); }); }
运行结果如下:
示例代码下载地址:https://pan.baidu.com/s/1gfwA9d5