LambdaToSql 发布 兰姆达转换sql

2023-07-12,,

文档目录索引

    查询、函数、分组、排序、分页
    添加 Insert into
    编辑 Update set
    删除 Delete
    生成实体
    内置常用工具类库  文档完善中...
    事务处理
    Join 连接查询 1.0.2.X版本中添加 开发中...

开源地址:https://gitee.com/wangshuyu/LambdaToSql

简介:

LambdaToSql 简单的兰姆达转换sql,可以直接.ToList()执行,返回查询结果

第一个版本支持:

    Where 条件查询
    Order by 排序
    Group by 分组
    简单分页,只支持row_number
    支持数据库函数:Avg Max Min Sum Count
    不需要任何第三方类库

使用前置条件:

    主键必须是 Guid  uniqueidentifier  
    表必须有 CreateTime datetime ,给分页排序使用,后期会把这个条件处理掉

第一个版不支持:

    暂不支持事物处理
    暂不支持多表join查询
    只支持Microsoft SQL Server数据库,分页不支持SQL Server 2000

测试表Sql语句:

CREATE TABLE [dbo].[System_UserInfo](
[Guid] [uniqueidentifier] NOT NULL CONSTRAINT [DF_UserInfo_Guid] DEFAULT (newid()),
[LoginName] [nvarchar](32) NULL,
[UserName] [nvarchar](32) NULL,
[PassWord] [nvarchar](64) NULL,
[Cert] [uniqueidentifier] NULL,
[IdCard] [nvarchar](64) NULL,
[Birthday] [nvarchar](64) NULL,
[Address] [nvarchar](1024) NULL,
[ImgUrl] [nvarchar](128) NULL,
[Gender] [nvarchar](2) NULL,
[Mobile] [nvarchar](16) NULL,
[Remark] [nvarchar](1024) NULL,
[Unionid] [nvarchar](128) NULL,
[CreateTime] [datetime] NULL CONSTRAINT [DF_UserInfo_CreaTime] DEFAULT (getdate()),
[IsDelete] [int] NULL,
[CreateUserInfoID] [uniqueidentifier] NULL,
CONSTRAINT [PK_USER] PRIMARY KEY NONCLUSTERED
(
[Guid] 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 EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'用户ID' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Guid'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'登录名称' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'LoginName'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'用户名' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'UserName'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'密码' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'PassWord'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'证件类型' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Cert'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'身份证号' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'IdCard'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'出生日期' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Birthday'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'地址' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Address'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'头像' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'ImgUrl'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'性别' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Gender'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'手机号' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Mobile'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'备注' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Remark'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'微信登录唯一码' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'Unionid'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'创建时间' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'CreateTime'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'是否删除' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'IsDelete'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'创建人ID' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo', @level2type=N'COLUMN',@level2name=N'CreateUserInfoID'
GO EXEC sys.sp_addextendedproperty @name=N'MS_Description', @value=N'用户表' , @level0type=N'SCHEMA',@level0name=N'dbo', @level1type=N'TABLE',@level1name=N'System_UserInfo'
GO

测试实体:

using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.Serialization;
using System.Text;
using LambdaToSql;
using LambdaToSql.FrameWork;
using LambdaToSql.Extended; namespace EntityModel
{ /// <summary>
/// 用户表
/// </summary>
[Serializable]
[DataContract]
public class System_UserInfo
{ /// <summary>
/// 用户ID
/// </summary>
[DataMember]
public System.Guid Guid { get; set; } /// <summary>
/// 登录名称
/// </summary>
[DataMember]
public string LoginName { get; set; } /// <summary>
/// 用户名
/// </summary>
[DataMember]
public string UserName { get; set; } /// <summary>
/// 密码
/// </summary>
[DataMember]
public string PassWord { get; set; } /// <summary>
/// 证件类型
/// </summary>
[DataMember]
public Nullable<System.Guid> Cert { get; set; } /// <summary>
/// 身份证号
/// </summary>
[DataMember]
public string IdCard { get; set; } /// <summary>
/// 出生日期
/// </summary>
[DataMember]
public string Birthday { get; set; } /// <summary>
/// 地址
/// </summary>
[DataMember]
public string Address { get; set; } /// <summary>
/// 头像
/// </summary>
[DataMember]
public string ImgUrl { get; set; } /// <summary>
/// 性别
/// </summary>
[DataMember]
public string Gender { get; set; } /// <summary>
/// 手机号
/// </summary>
[DataMember]
public string Mobile { get; set; } /// <summary>
/// 备注
/// </summary>
[DataMember]
public string Remark { get; set; } /// <summary>
/// 微信登录唯一码
/// </summary>
[DataMember]
public string Unionid { get; set; } /// <summary>
/// 创建时间
/// </summary>
[DataMember]
public Nullable<System.DateTime> CreateTime { get; set; } /// <summary>
/// 是否删除
/// </summary>
[DataMember]
public Nullable<int> IsDelete { get; set; } /// <summary>
/// 创建人ID
/// </summary>
[DataMember]
public Nullable<System.Guid> CreateUserInfoID { get; set; }
}
}

测试代码,具体查看后续文章:

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.UI;
using System.Web.UI.WebControls;
using LambdaToSql.FrameWork; namespace Web
{
public partial class Clent : System.Web.UI.Page
{
LambdaToSql.SqlClient DB = new LambdaToSql.SqlClient(); protected void Page_Load(object sender, EventArgs e)
{
//生成实体对象文件
//LambdaToSql.SysConfig.Init();
//LambdaToSql.Fireworks.CreateEntity.Init("d:/class/"); //Find查询主键
//var obj = db.QueryTable<EntityModel.System_UserInfo>().Find(Guid.Parse("9c1d1247-cd2c-424d-be14-ef8abae655a4")); //var item = new string[] { "15842709668", "18609877687", "15804279711", "13998756128", "13019965033" }.ToList();
//var list = db.QueryTable<EntityModel.System_UserInfo>(ex => LambdaToSql.Fireworks.Method.In(ex.LoginName, item)).ToList();
//var list = db.QueryTable<EntityModel.System_UserInfo>(ex => item.Contains(ex.LoginName)).ToList(); function();
Select();
} private void function() //函数查询
{
var list = DB.QueryTable<EntityModel.System_UserInfo>()
//.Where(ex => ex.LoginName.Contains("15"))
//.Where(ex => ex.LoginName.StartsWith("158"))
//.Where(ex => ex.LoginName.EndsWith("88"))
//.Where(ex => ex.LoginName.NotContains("88"))
//.Where(ex => ex.LoginName == "Shuyu".ToLower())
// .Where(ex => item.Contains(ex.LoginName))
//.Where(ex => item.NotContains(ex.LoginName))
.ToList();
} private void Select()//基本查询 分页
{
int total = ;
var list = DB.QueryTable<EntityModel.System_UserInfo>()
//.Select(ex => new { ex.LoginName, ex.UserName })
//.Select(ex => new { ex.PassWord, ex.IdCard })
//.Where(ex => ex.LoginName == "test" || ex.UserName == "社区民警")
//.Where(ex => ex.LoginName == "test")
//.GroupBy(ex => new { ex.LoginName })
//.GroupBy(ex => new { ex.UserName })
//.OrderByDescending(ex => ex.LoginName)
//.OrderBy(ex => ex.UserName)
//.Take(15)
//.Where(ex => ex.LoginName.Contains("15"))
//.Where(ex => ex.LoginName.StartsWith("158"))
//.Where(ex => ex.LoginName.EndsWith("88"))
//.Where(ex => ex.LoginName.NotContains("88"))
//.Where(ex => ex.LoginName == "Shuyu".ToLower()) //.Where(ex => Method.Like(ex.LoginName, "158%"))
//.Where(ex => Method.NotLike(ex.LoginName, "158%")) //.Where(ex => Method.In(ex.LoginName, "15841479211"))
//.Where(ex => Method.In(ex.LoginName, item))
//.Where(ex => Method.NotIn(ex.LoginName, item)) //.Count();
//.Take(10)
//.Skip(2)
//.OrderBy(ex => ex.CreateTime)
//.Sum(ex => ex.LogOnCount);
//.Min(ex => ex.LogOnCount);
//.Max(ex => ex.LogOnCount);
//.Avg(ex => ex.LogOnCount);
//.First();
//.FirstOrDefault();
//.ToPageList(3, 15, ref total);
.ToList();
}
}
}

Web.config配置文件

<connectionStrings>
<add name="ConnectionString" connectionString="Server=.;Database=Test;User ID=sa;Password=123456" providerName="System.Data.SqlClient" />
</connectionStrings>

性能:

    基本和Ado.Net原生接近,lambda解析转换成sql语句,然后使用DBHelper参数化查询的数据库,性能损耗是在兰姆达转语句上,后续版本会加缓存机制。
    暂时不支持事物处理
    接口 命名重新规划,但还是不太好,后续版本会慢慢规划,暂时预计大概发布 10个版本,出一个稳定版本
    稳定后会开源出来 哈哈

如何获取:

    NuGet管理器 搜索:LambdaToSql
    Install-Package LambdaToSql -Version 版本号

使用示例:

    配置文件中添加链接数据库字符串  <add name="ConnectionString" connectionString="Server=.;Database=test;User ID=sa;Password=123456" providerName="System.Data.SqlClient" />

    使用实例

    DB.QueryTable<实体对象>()
    .Where(条件)
    .Select(字段)
    .GroupBy(分组)
    .OrderByDescending(排序)
    .OrderBy(排序)
    .Skip(页码)
    .Take(数量)
    .ToList();//返回集合

    .Count();
    .Sum(求和);
    .Min(最小值);
    .Max(最大值);
    .Avg(平均值);
    .First();//第一条
    .FirstOrDefault();//第一条
    .ToPageList(页码, 每页数量, ref 总数);//分页

    其它

最后感谢:SqlSugar 作者 开源 

LambdaToSql 发布 兰姆达转换sql的相关教程结束。

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