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Dapper.Common基于Dapper的开源LINQ超轻量扩展

热度:39   发布时间:2024-01-12 10:55:48.0

Dapper.Common

  Dapper.Common是基于Dapper的LINQ实现,支持.net core,遵循Linq语法规则、链式调用、配置简单、上手快,支持Mysql,Sqlserver(目前只实现了这两个数据库,实现其他数据库也很轻松),支持单表,多表,自定义函数等功能。源码及其简单,直白,解析Lambda只有300行左右代码。严格区分C#函数和数据库函数,你可以在表达式中调用C#函数(不推荐,推荐将计算结果保存到变量,在写入lambda表达式),性能损失在表达式编译:常量>变量>函数。损失多少可以通过ExpressionUtil.BuildExpression()来测试,几万次耗时百毫秒及别。

  开源地址:https://github.com/1448376744/Dapper.Common

  Nuget:Install-Package Dapper.Common -Version 1.5.0

0.Test

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1.Mapper

2.Config

//在App启动时执行一次即可
SessionFactory.AddDataSource(new DataSource()
{
Name
= "mysql",
Source
= () => new SqlConnection("connectionString"),
SourceType
= DataSourceType.SQLSERVER,
UseProxy
= true//使用Session的静态代理实现,记录日志,执行耗时,线上环境建议关闭代理
});

//获取数据库上下文
using (var session = SessionFactory.GetSession("msql"))
{
//linq to sql
}

3.Insert

var entity = new User()
{
CreateTime
=DateTime.Now,
NickName
="dapper",
};
//绝大部分接口可以设置condition已决定是否执行,支持批量更新
session.From<User>().Insert(entity,condition:1>2);
//查看日志,如果出现异常,应该在catch里,查看session.Loggers
var loggers = session.Loggers;

2.Update

var entity = new User()
{
  Id=2,
  NickName="李四"
};
//更新所有字段(where id=2),支持批量,显然除NickName之外将被更新成null
session.From<User>().Update(entity);

//更新部分字段
session.From<User>()
.Set(a
=> a.NickName, "李四", condition: true)//condition为true时更新该字段
.Set(a => a.Balance, a => a.Balance + 100)//余额在原来基础增加100
.Where(a => a.Id.In(1,2,3))//将id为1,2,3的记录进行更新
.Update();

3.Delete

//删除id>5||nick_name like '%da%'
session.From<User>()
.Where(a
=>a.Id>5||a.NickName.Like("da"))
.Delete();

4.Single

  //查询全部字段
var user1 = session.From<User>()
.Where(a
=>a.Id==2)
.Single();

//查询部分字段
var user2 = session.From<User>()
.Where(a
=> a.Id == 2)
.Single(s
=>new
{
s.Id,
s.NickName
});

5.Select

 //查询:where id in(1,2,3)
var list = session.From<User>()
.Where(a
=> a.Id.In("1,2,3".Split(',')))
.Select();

6.Where

 //构建动态查询,condition: true执行,通过condition选择分支,多个where之间用 and 连接
var list = session.From<User>()
.Where(a
=> a.Id.In(1, 2, 3), condition: true)
.Where(a
=> a.NickName.Like("da"), condition: false)
.Where(a
=> a.Id > 2 || (a.NickName.Like("da") && a.Balance > 50))
.Where(
"select * from user_bill where user_bill.user_id=user.id")//同样可以当作字符串拼接工具
.Select();

7.Function

 /// <summary>
/// 自定义函数
/// </summary>
public static class MySqlFun
{
//这里使用泛型并不是必须的,只用函数名在数据库存在即可,泛型为了指定返回数据类型
[Function]//Dapper.Common严格区分C#函数和数据库函数,一定要用该特性标识数据库函数
public static T COUNT<T>(T column)
{
return default(T);
}
[Function]
public static T MAX<T>(T column)
{
return default(T);
}
[Function]
public static T DISTINCT<T>(T column)
{
return default(T);
}
   [Function]
   public static T DATE<T>(T column)
{
     return default(T);
   }
}

8.GroupBy

 var list = session.From<Order>()
.GroupBy(a
=> a.UserId)//多个条件可以new一个匿名对象,也可以并联多个group
.Having(a
=> MySqlFun.COUNT(MySqlFun.DISTINCT(a.UserId)) > 10)//count(distinct(user_id))>10
.Select(s => new
{
s.UserId,
OrderCount
= MySqlFun.COUNT(1L),//这里应该返回long int,
MaxFee = MySqlFun.MAX(s.TotalFee)
});

9.Join

 var list = session.From<Order, User>()
.Join((a, b)
=> a.UserId == b.Id, JoinType.Inner)
.GroupBy((a, b)
=> a.UserId)
.Having((a, b)
=> MySqlFun.COUNT(MySqlFun.DISTINCT(a.UserId)) > 10)//count(distinct(user_id))>10
.Select((a, b) => new
{
a.UserId,
b.NickName,
OrderCount
= MySqlFun.COUNT(1L),//这里应该返回long int,
MaxFee = MySqlFun.MAX(a.TotalFee)
});

10.SubQuery

var list = session.From<Order>()
.GroupBy(a
=> a.UserId)
.Having(a
=> MySqlFun.COUNT(MySqlFun.DISTINCT(a.UserId)) > 10)
.Select(a
=> new
{
a.UserId,
UserName
=Convert.ToString("select nick_name from user where user.id=order.user_id"),//如果这个子查询返回的是int:Convert.ToInt32(sql)
OrderCount = MySqlFun.COUNT(1L),//这里应该返回long int【这就是为什么定义成泛型函数】,
MaxFee = MySqlFun.MAX(a.TotalFee)
});

11.Page

//分页应该写在Where,Having,Group之后(如果有)
var
list = session.From<User>()
.Where(a
=>a.NickName != null)
.Page(
1,10,out long total)
.Select();

12.Take

var list = session.From<User>()
.Take(
5)
.Select();

13.Skip

//从数据库索引为1的位置(跳过1之前的记录),获取10
var
list = session.From<User>()
.Skip(
1,10)
.Select();

14.Sum

var list= session.From<User>()
.
Sum(s=>s.Balance*s.Id);

15.Exists

//内部采用exist子查询判断满足where条件的记录是否存在
var
flag = seesion.From<User>()
.Where(a
=>a.Id > 10)
.Exists();

16.OrderBy

var list1 = session.From<User>()
.Order(a
=>a.Id)
.Select();

var list2 = session.From<User>()
.GroupBy(a
=> MysqlFun.DATE(a.CreateTime))
.OrderByDescending(a
=> MysqlFun.DATE(a.CreateTime))
.Select(s
=>new
{
Date
=MysqlFun.DATE(s.CreateTime),
Count
= MysqlFun.Count(1L)
});

17.Filter

var user =new User ()
{
  Id = 12
  Balance
= 50,
  NickName
= "张三",
  CreateTime
= Datetime.Now
};
//Filter会在Insert,Update,Select,过滤掉不想要的字段
//这将不会更新余额及创建时间

var row = session.From<User>()
.Filter(f
=>new
{
f.CreateTime,
f.Balance,
})
.Update(user);

 18.Transaction

//获取数据库上下文
ISession session = null;
try
{
    session=SessionFactory.GetSession();
//开启事务
session.Open(true);
//sql
//提交事务
session.Commit();
}
catch (Exception)
{
session
?.Rollback();
throw;
}
finally
{
session
?.Close();
}

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原文地址:https://www.cnblogs.com/chaeyeon/p/11028480.html

 
  

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