这篇文章主要介绍如何使用Dapper使用Inner join的操作,文中介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们一定要看完!
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:
using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Threading.Tasks;namespace DapperApplicationJoin.Model{ public class Product { public int ProductId { get; set; } public string ProductName { get; set; } public User UserOwner { get; set; } public string Price { get; set; } }}
User实体类定义如下:
using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Threading.Tasks;namespace DapperApplicationJoin.Model{ public class User { public int UserId { get; set; } public string UserName { get; set; } public string Email { get; set; } public string Address { get; set; } }}
2、Main方法定义如下
using System;using System.Collections.Generic;using System.Linq;using System.Text;using System.Threading.Tasks;using System.Configuration;using System.Data;using System.Data.SqlClient;using Dapper;using DapperApplicationJoin.Model;namespace DapperApplicationJoin{ class Program { static void Main(string[] args) { string conn = ConfigurationManager.ConnectionStrings["AppConnection"].ConnectionString; 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 result = connection.Query<Product, User, Product>(sql, (product, users) => { product.UserOwner = users; return product; }, splitOn: "UserName"); 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); }); } Console.ReadKey(); } }}
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:
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