pure.data支持.Net core 和 .NetFramework4.5+的ORM框架，底层采用dapper，性能强劲，稳定，既能利用Linq强编码提示，又可利用Mybatis风格管理SQL
pure.data
pure.data支持.Net core 和 .NetFramework4.5+的ORM框架，底层采用dapper，性能强劲，稳定，既能利用Linq强编码提示，又可利用Mybatis风格管理SQL。
https://github.com/purestackorg/pure.data
包含如下功能：
1.支持多种配置方式xml，数据库连接字符串，连接对象
2.支持Linq写法转换并执行SQL
3.支持Mybatis写法，xml配置，可以灵活方便管理复杂SQL
4.支持数据库连接池
5.支持FluetValidation自动验证实体
6.主从读写分离
7.批量导入、导出，生成SQL 脚本
8.数据备份与还原、数据导入导出
9.附加代码生成工具
10.插件系统，可以注入多种Execute Event
11.....很多功能，自行挖掘
下面是常用使用方法：
数据库上下文
所有数据库上下文都继承自DbContext
例子
public class TestDbContext : DbContext
{
public TestDbContext()
: base("TestKey", config => //TestKey 对应web.config里面ConnectionString的key
{
//自行配置...
})
{
}
属性
public IDatabase Database { get; } //获取数据库对象
public string ProviderName { get; } //获取当前数据库驱动器
public IDbTransaction Transaction { get; } //当前事务
public string ConnectionString { get; } //连接字符串
方法
获取数据库相关对象
IDbCommand GetCommand(IDbConnection con, string commmandText, CommandType commandType);
IDbConnection GetConnection();
DbProviderFactory GetFactory();
常规执行方法
//Execute
int Execute(string sql, object param = null, int? commandTimeout = null, CommandType? commandType = null);
//ExecuteReader
IDataReader ExecuteReader(string sql, object param = null, int? commandTimeout = null, CommandType? commandType = null);
//ExecuteScalar
object ExecuteScalar(string sql, object param = null, int? commandTimeout = null, CommandType? commandType = null);
T ExecuteScalar<T>(string sql, object param = null, int? commandTimeout = null, CommandType? commandType = null);
拓展查询方法
//SqlQuery
IEnumerable<T> SqlQuery<T>(string sql, object param = null, bool buffer = true, int? commandTimeout = null, CommandType? commandType = null);
//分页
IEnumerable<TEntity> QueryPageBySQL<TEntity>(int pageIndex, int pagesize, string sqltext, out int totalCount) where TEntity : class;
IEnumerable<TEntity> QueryPageByWhere<TEntity>(int pageIndex, int pagesize, string wherestr, string orderstr, out int totalCount) where TEntity : class;
//sqlmap查询
SqlMapResult QuerySqlMap<TEntity>(string scope, string sqlID, object param = null);
事务相关
void BeginTransaction(IsolationLevel isolationLevel = IsolationLevel.ReadCommitted);
void CommitTransaction();
void RollbackTransaction();
启用统一工作单元
IUnitOfWork BeginUnitOfWork(bool keepConnectionAlive = true);
实体关系映射
所有关系映射都继承自ClassMapper
public class TestMapper : ClassMapper<TestEntity>
{
public TestMapper()
{
Table("B_Test");//映射到对应表
Map(m => m.Id).Key(KeyType.TriggerIdentity).Description("主键");//主键类型
Map(m => m.Title).Size(500).Description("标题");
Map(m => m.Content).Size(2000).Description("内容");//最大字符长度2000，相当于NVarchar(max)
Map(m => m.PublishUser).Description("发布者");
Map(m => m.PublishTime).Description("发布时间");
Map(m => m.EndTime).Description("结束时间");
Map(m => m.Remark).Size(2000).Description("备注");
Map(m => m.StatusCode).Description("状态");
Map(m => m.TypeCode).Description("类型");
Map(m => m.CreateTime).Description("创建时间");
Description("测试数据表");//表的注释信息
AutoMap();
}
}
表方法
- Table：表名
- Description：表注释信息
- Sequence：指定序列（Oracle有效）
- Schema：表所属模式
列方法
- Column：列名，默认不填写与属性名称一致
- Key：主键类型(NotAKey/Identity/TriggerIdentity/Guid/Assigned)
- Description：列注释信息
- Size：长度（有长度属性的类型生效string/decimal等），注意：最大2000
- Nullable：是否可空
- DefaultValue：默认值
- ReadOnly：是否只读
- Ignore：忽略当前列的映射
FluentSqlBuilder
通过Lambda表达式生成SQL，它是Database数据库对象的属性。
如下例子假设UserInfo对象映射到TB_USER表
UserInfo
public enum RoleType
{
管理员 = 1,
普通用户 = 2,
经理 = 3
}
//实体对象
public class UserInfo:Entity
{
//public int Id { get; set; }
public DateTime? DTUPDATE { get; set; }
public int Age { get; set; }
public int Sex { get; set; }
public string Name { get; set; }
public string Email { get; set; }
public DateTime DTCreate { get; set; }
public bool HasDelete { get; set; }
public RoleType Role { get; set; }
public UserInfo() {
DTCreate = DateTime.Now;
}
}
//映射关系
public class UserInfoMapper : ClassMapper<UserInfo>
{
public UserInfoMapper()
{
Table("TB_USER");
Description("用户信息表");
Map(m => m.Id).Key(KeyType.Identity).Description("主键");
Map(m => m.Age).Nullable(false).Description("年龄");
Map(m => m.DTCreate).Nullable(false).Description("创建日期");
Map(m => m.DTUPDATE).Description("更新日期");
Map(m => m.Name).Size(50).Description("名称");
Map(m => m.Email).Size(1000).Description("邮箱");
Map(m => m.Sex).Description("性别");
Map(m => m.HasDelete).Description("是否删除");
Map(m => m.Role).Description("角色");
AutoMap();
}
}
Insert
FluentSqlBuilder.Insert<UserInfo>(() => new UserInfo { DTCreate = DateTime.Now, Name = "567", Sex = 1, Email = "123456@qq.com" });
/*生成SQL：
INSERT INTO TB_USER (DTCreate,Name,Sex,Email) VALUES ( GETDATE(), '567', 1, '123456@qq.com')
*/
Update
FluentSqlBuilder.Update<UserInfo>(() => new UserInfo { Name = "", Sex = 1, Email = "123456@qq.com" });
/*生成SQL：
UPDATE TB_USER SET Name = '',Sex = 1,Email = '123456@qq.com'
*/
FluentSqlBuilder.Update<UserInfo>(() => new { Name = "", Sex = 1, Email = "123456@qq.com" }).
Where(u => u.Id == 1);
/*生成SQL：
UPDATE TB_USER SET Name = '',Sex = 1,Email = '123456@qq.com' WHERE Id = 1
*/
Delete
FluentSqlBuilder.Delete<UserInfo>();
/*生成SQL：
DELETE FROM TB_USER
*/
FluentSqlBuilder.Delete<UserInfo>().Where(u => u.Id == null);
/*生成SQL：
DELETE FROM TB_USER WHERE Id IS null
*/
Select
FluentSqlBuilder.Select<UserInfo>();
/*生成SQL：
SELECT * FROM TB_USER a
*/
FluentSqlBuilder.Select<UserInfo>(u => new { u.Id, u.Name });
/*生成SQL：
SELECT a.Id, a.Name FROM TB_USER a
*/
//枚举类型
FluentSqlBuilder.Select<UserInfo>(p => new
{
p.Role
}).Where(p => p.Role == RoleType.普通用户).OrderBy(p => p.Role);
/*生成SQL：
SELECT a.Role FROM TB_USER a WHERE a.Role = 2 ORDER BY a.Role
*/
多表关联
//多表Join关联查询
FluentSqlBuilder.Select<UserInfo, Account>((u, a) => new { u.Id, a.Name }).
Join<Account>((u, a) => u.Id == a.UserId);
/*生成SQL：
SELECT a.Id, b.Name FROM TB_USER a JOIN Account b ON a.Id = b.UserId
*/
//多表InnerJoin关联查询
FluentSqlBuilder.Select<UserInfo, Account>((u, a) => new { u.Id, a.Name }).
InnerJoin<Account>((u, a) => u.Id == a.UserId);
/*生成SQL：
SELECT a.Id, b.Name FROM TB_USER a INNER JOIN Account b ON a.Id = b.UserId
*/
//多表LeftJoin关联查询
FluentSqlBuilder.Select<UserInfo, Account>((u, a) => new { u.Id, a.Name }).
LeftJoin<Account>((u, a) => u.Id == a.UserId);
/*生成SQL：
SELECT a.Id, b.Name FROM TB_USER a LEFT JOIN Account b ON a.Id = b.UserId
*/
//多表RightJoin关联查询
FluentSqlBuilder.Select<UserInfo, Account>((u, a) => new { u.Id, a.Name }).
RightJoin<Account>((u, a) => u.Id == a.UserId);
/*生成SQL：
SELECT a.Id, b.Name FROM TB_USER a RIGHT JOIN Account b ON a.Id = b.UserId
*/
//多表FullJoin关联查询
FluentSqlBuilder.Select<UserInfo, Account>((u, a) => new { u.Id, a.Name }).
FullJoin<Account>((u, a) => u.Id == a.UserId);
/*生成SQL：
SELECT a.Id, b.Name FROM TB_USER a FULL JOIN Account b ON a.Id = b.UserId
*/
//多表复合关联查询
FluentSqlBuilder.Select<UserInfo, Account, Student, Class, City, Country>((u, a, s, d, e, f) =>
new { u.Id, a.Name, StudentName = s.Name, ClassName = d.Name, e.CityName, CountryName = f.Name }).
Join<Account>((u, a) => u.Id == a.UserId).
LeftJoin<Account, Student>((a, s) => a.Id == s.AccountId).
RightJoin<Student, Class>((s, c) => s.Id == c.UserId).
InnerJoin<Class, City>((c, d) => c.CityId == d.Id).
FullJoin<City, Country>((c, d) => c.CountryId == d.Id).
Where(u => u.Id != null);
/*生成SQL：
太长了......省略打印
*/
Where
FluentSqlBuilder.Select<UserInfo>().Where(u => (u.Name == "b" && u.Id > 2) || u.Id < 1000);
/*生成SQL：
SELECT * FROM TB_USER a WHERE (a.Name ='b' and a.Id > 2) or a.Id < 1000
*/
//SQL拼接
FluentSqlBuilder.Select<UserInfo>(u => new { CNAME = u.Name, u.Name, CID = u.Id }).
Where(u =>
SqlFuncs.In(u.Id, 1, 2, 3)
&& u.HasDelete == false
).And(" a.Name ={0}", "李四").Or(" a.Name ={0} and a.ID >{1} ", "张茂", 5);
/*生成SQL：
SELECT a.Name AS CNAME, a.Name, a.Id AS CID FROM TB_USER a WHERE a.Id IN ( 1,2,3) AND a.HasDelete = 0 AND ( a.Name ='李四') OR ( a.Name ='张茂' and a.ID >5 )
*/
聚合函数
FluentSqlBuilder.Max<UserInfo>(u => u.Id);
/*生成SQL：
SELECT MAX(Id) FROM TB_USER
*/
FluentSqlBuilder.Min<UserInfo>(u => u.Id).Where(p => p.Id == 5);
/*生成SQL：
SELECT MIN(Id) FROM TB_USER WHERE Id = 5
*/
FluentSqlBuilder.Avg<UserInfo>(u => u.Id);
/*生成SQL：
SELECT AVG(Id) FROM TB_USER
*/
FluentSqlBuilder.Count<UserInfo>();
/*生成SQL：
SELECT COUNT(1) FROM TB_USER
*/
FluentSqlBuilder.Count<UserInfo>(u => u.Id);
/*生成SQL：
SELECT COUNT(Id) FROM TB_USER
*/
FluentSqlBuilder.Sum<UserInfo>(u => u.Id);
/*生成SQL：
SELECT SUM(Id) FROM TB_USER
*/
SqlFuncs
//聚合函数
FluentSqlBuilder.Select<UserInfo>(p => new
{
CountValue = SqlFuncs.Count(),
SumValue = SqlFuncs.Sum(p.Age),
MaxValue = SqlFuncs.Max(p.Age),
MinValue = SqlFuncs.Min(p.Age),
AvgValue = SqlFuncs.Avg(p.Age),
});
/*生成SQL：
SELECT COUNT(1) AS CountValue, SUM(a.Age) AS SumValue, MAX(a.Age) AS MaxValue, MIN(a.Age) AS MinValue, AVG(a.Age) AS AvgValue FROM TB_USER a
*/
FluentSqlBuilder.Select<UserInfo>(p => new
{
ModV = SqlFuncs.Mod(500, 6),//注意：可能某些数据库不含此函数
Rand = SqlFuncs.Rand(),
IfNullV = SqlFuncs.IfNull(p.Name, "李梅")
});
/*生成SQL：
SELECT MOD(500, 6) AS ModV, RAND() AS Rand, ISNULL(a.Name,'李梅') AS IfNullV FROM TB_USER a
*/
FluentSqlBuilder.Select<UserInfo>().Where(a =>
SqlFuncs.In(a.Id, 1, 2, 3) &&
&& SqlFuncs.Like(u.Name, "a")
&& SqlFuncs.LikeLeft(u.Name, "b")
&& SqlFuncs.LikeRight(u.Name, "c")
);
/*生成SQL：
SELECT * FROM TB_USER a WHERE ( ( a.Id IN ( 1,2,3) AND a.Name LIKE '%'+'a'+'%') AND a.Name LIKE '%'+'b') AND a.Name LIKE 'c'+'%'
*/
常规转换方法
//常规方法
FluentSqlBuilder.Select<UserInfo>(p => new
{
长度 = p.Name.Length,
大写 = p.Email.ToUpper(),
小写 = p.Email.ToLower(),
TrimStart = " 李佳佳 ".TrimStart(),
TrimEnd = testTrimStr.TrimEnd(),
Trim = testTrimStr.Trim(),
ToString = testTrimStr.ToString(),
Substring = testTrimStr.Substring(1, 2),
SubstringWithAutoLength = p.Email.Substring(1),
IsNullOrEmpty = string.IsNullOrEmpty(p.Email) ? "空" : "非空"
}).Where(p =>
string.IsNullOrWhiteSpace(p.Email)
);
/*生成SQL：
SELECT LEN(a.Name) AS 长度, UPPER(a.Email) AS 大写, LOWER(a.Email) AS 小写, LTRIM(' 李佳佳 ') AS TrimStart, RTRIM(' 李 佳佳 ') AS TrimEnd, RTRIM(LTRIM(' 李佳佳 ')) AS Trim, ' 李佳佳 ' AS ToString, SUBSTRING(' 李佳佳 ',1+1,2) AS Substring, SUBSTRING(a.Email,1+1,LEN(a.Email)) AS SubstringWithAutoLength, (CASE WHEN (a.Email IS NULL OR a.Email= '') THEN '空' ELSE '非空' END) AS IsNullOrEmpty FROM TB_USER a WHERE (a.Email IS NULL OR a.Email= '')
*/
数学函数
int intValue = -32;
double decimalValue = 20.8251;
//数学函数
FluentSqlBuilder.Select<UserInfo>(p => new
{
Abs = Math.Abs(p.Id),
AbsVAR = Math.Abs(intValue),
Round = Math.Round(decimalValue, 2),
RoundNoPrecision = Math.Round(decimalValue),
Ceiling = Math.Ceiling(decimalValue),
Floor = Math.Floor(decimalValue),
Sqrt = Math.Sqrt(decimalValue),
Log = Math.Log(decimalValue, 23),
Pow = Math.Pow(decimalValue, 2),
Sign = Math.Sign(decimalValue),
//Truncate = Math.Truncate(decimalValue),
//ModV = SqlFuncs.Mod(decimalValue, 6),
Rand = SqlFuncs.Rand()
});
/*生成SQL：
SELECT ABS(a.Id) AS Abs, ABS(-32) AS AbsVAR, ROUND(20.8251,2) AS Round, ROUND(20.8251,2) AS RoundNoPrecision, CEILING(20.8251) AS Ceiling, FLOOR(20.8251) AS Floor, SQRT(20.8251) AS Sqrt, LOG(20.8251) AS Log, POWER(20.8251,2) AS Pow, SIGN(20.8251) AS Sign, RAND() AS Rand FROM TB_USER a
*/
日期相关函数
DateTime startTime = new DateTime(2015, 3, 2, 6, 5, 12);
DateTime endTime = new DateTime(2016, 1, 1, 0, 0, 0);
DateTime now = DateTime.Now;
//获取当前时间
FluentSqlBuilder.Select<UserInfo>(u => new
{
现在时间 = now,
属性现在时间 = DateTime.Now,
UTC时间 = DateTime.UtcNow,
今天 = DateTime.Today,
日期部分 = now.Date,
年2 = u.DTCreate.Year,
年 = now.Year,
月 = now.Month,
日 = now.Day,
时 = now.Hour,
分 = now.Minute,
秒 = now.Second
//,
//毫秒 = now.Millisecond
,
本周第几天0是周日 = now.DayOfWeek
});
/*生成SQL：
SELECT CAST('2017/9/5 15:54:20' AS DATETIME) AS 现在时间, GETDATE() AS 属性现在时间, GETUTCDATE() AS UTC时间, CAST(GETDATE() AS DATE) AS 今天, CAST('2017/9/5 15:54:20' AS DATE) AS 日期部分, DATEPART(YEAR,CAST(a.DTCreate AS NVARCHAR(MAX))) AS 年2, DATEPART(YEAR,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 年, DATEPART(MONTH,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 月, DATEPART(DAY,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 日, DATEPART(HOUR,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 时, DATEPART(MINUTE,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 分, DATEPART(SECOND,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) AS 秒, (DATEPART(WEEKDAY,CAST('2017/9/5 15:54:20' AS NVARCHAR(MAX))) - 1) AS 本周第几天0是周日 FROM TB_USER a
*/
//Add DateTime函数
FluentSqlBuilder.Select<UserInfo>(p => new
{
AddYearsVAR = startTime.AddYears(1),//DATEADD(YEAR,1,@P_0)
AddYears = p.DTCreate.AddYears(1),//DATEADD(YEAR,1,@P_0)
AddMonths = startTime.AddMonths(1),//DATEADD(MONTH,1,@P_0)
AddDays = startTime.AddDays(1),//DATEADD(DAY,1,@P_0)
AddHours = startTime.AddHours(1),//DATEADD(HOUR,1,@P_0)
AddMinutes = startTime.AddMinutes(2),//DATEADD(MINUTE,2,@P_0)
AddSeconds = startTime.AddSeconds(120),//DATEADD(SECOND,120,@P_0)
//AddMilliseconds = startTime.AddMilliseconds(20000),//DATEADD(MILLISECOND,20000,@P_0)
}).Where(p => p.DTCreate.AddYears(1) > DateTime.Now);
/*生成SQL：
SELECT DATEADD(YEAR,1,'2015/3/2 6:05:12') AS AddYearsVAR, DATEADD(YEAR,1,a.DTCreate) AS AddYears, DATEADD(MONTH,1,'2015/3/2 6:05:12') AS AddMonths, DATEADD(DAY,1,'2015/3/2 6:05:12') AS AddDays, DATEADD(HOUR,1,'2015/3/2 6:05:12') AS AddHours, DATEADD(MINUTE,2,'2015/3/2 6:05:12') AS AddMinutes, DATEADD(SECOND,120,'2015/3/2 6:05:12') AS AddSeconds FROM TB_USER a WHERE DATEADD(YEAR,1,a.DTCreate) > GETDATE()
*/
//Diff DateTime函数
FluentSqlBuilder.Select<UserInfo>(p => new
{
DiffYearsVAR = endTime.DiffYears(now),
DiffYears = p.DTCreate.DiffYears(now),
DiffMonths = endTime.DiffMonths(now),
DiffDays = endTime.DiffDays(now),
DiffHours = endTime.DiffHours(now),
DiffMinutes = endTime.DiffMinutes(now),
DiffSeconds = endTime.DiffSeconds(now),
//DiffMilliseconds = endTime.DiffMilliseconds(now),//MAYBE FAIL : OUT BOUND OF INT RANGE
//DiffMicroseconds = endTime.DiffMicroseconds(now),//MAYBE FAIL : OUT BOUND OF INT RANGE
}).Where(p => p.DTCreate.DiffDays(now) > 2);//两天前过滤
/*生成SQL：
SELECT DATEDIFF(YEAR,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffYearsVAR, DATEDIFF(YEAR,a.DTCreate,'2017/9/5 15:43:23') AS DiffYears, DATEDIFF(MONTH,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffMonths, DATEDIFF(DAY,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffDays, DATEDIFF(HOUR,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffHours, DATEDIFF(MINUTE,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffMinutes, DATEDIFF(SECOND,'2016/1/1 0:00:00','2017/9/5 15:43:23') AS DiffSeconds FROM TB_USER a WHERE DATEDIFF(DAY,a.DTCreate,'2017/9/5 15:43:23') > 2
*/
Like函数
FluentSqlBuilder.Select<UserInfo>().Where(a =>
a.Name.StartsWith("李") &&
a.Name.EndsWith("明") &&
a.Name.Contains("云") &&
SqlFuncs.LikeLeft(a.Name, "明") &&
SqlFuncs.LikeRight(a.Name, "云") &&
SqlFuncs.Like(a.Name, "云")
);
/*生成SQL：
SELECT * FROM TB_USER a WHERE ( ( ( ( a.Name LIKE '李'+'%' AND a.Name LIKE '%'+'明') AND a.Name LIKE '%'+'云'+'%') AND a.Name LIKE '%'+'明') AND a.Name LIKE '云'+'%') AND a.Name LIKE '%'+'云'+'%'
*/
集合相关函数
List<int> ids = new List<int>() { 1, 2, 3 };
List<string> names = new List<string>() { "abc", "efg" };
List<string> nameNots = new List<string>() { "xyz" };
FluentSqlBuilder.Select<UserInfo>().Where(u => ids.Contains(u.Id) && SqlFuncs.In(u.Name, names) || SqlFuncs.InNot(u.Name, nameNots)),
;
/*生成SQL：
SELECT * FROM TB_USER a WHERE ( a.Id IN (1,2,3) AND a.Name IN ( 'abc','efg') ) OR a.Name NOT IN ( 'xyz')
*/
Parse转换函数
FluentSqlBuilder.Select<UserInfo>(p => new
{
Int_Parse = int.Parse("33"),
Byte_Parse = byte.Parse("11"),
Short_Parse = short.Parse("22"),
Long_Parse = long.Parse("2123123213"),//CAST(N'2' AS BIGINT)
Sbyte_Parse = sbyte.Parse("12"),//CAST(N'11' AS SMALLINT)
Int16_Parse = Int16.Parse("12211"),//CAST(N'11' AS SMALLINT)
Int32_Parse = Int32.Parse("44"),//CAST(N'1' AS INT)
Int64_Parse = Int64.Parse("12211"),//CAST(N'11' AS SMALLINT)
Double_Parse = double.Parse("3213.2516"),//CAST(N'3' AS FLOAT)
DoubleUP_Parse = Double.Parse("3213.2516"),//CAST(N'3' AS FLOAT)
Float_Parse = float.Parse("4123.213"),//CAST(N'4' AS REAL)
Decimal_Parse = decimal.Parse("25222.234454"),//CAST(N'5' AS DECIMAL) , ONLY SUPPORT 4 PERCION
DecimalUP_Parse = Decimal.Parse("5222.234454"),//CAST(N'5' AS DECIMAL)
Bool_Parse = bool.Parse("false"),//CAST(N'4' AS REAL)
Bool_INT_Parse = bool.Parse("1"),//CAST(N'4' AS REAL)
DateTime_Parse = DateTime.Parse("2014-05-21 22:10:05"),//CAST(N'4' AS REAL)
Guid_Parse = Guid.Parse("D544BC4C-739E-4CD3-A3D3-7BF803FCE179"),
}).Where(p => p.Age > int.Parse("33"));
/*生成SQL：
SELECT CAST('33' AS INT) AS Int_Parse, CAST('11' AS TINYINT) AS Byte_Parse, CAST('22' AS SMALLINT) AS Short_Parse, CAST('2123123213' AS BIGINT) AS Long_Parse, CAST('12' AS TINYINT) AS Sbyte_Parse, CAST('12211' AS SMALLINT) AS Int16_Parse, CAST('44' AS INT) AS Int32_Parse, CAST('12211' AS BIGINT) AS Int64_Parse, CAST('3213.2516' AS FLOAT) AS Double_Parse, CAST('3213.2516' AS FLOAT) AS DoubleUP_Parse, CAST('4123.213' AS REAL) AS Float_Parse, CAST('25222.234454' AS DECIMAL(19,4)) AS Decimal_Parse, CAST('5222.234454' AS DECIMAL(19,4)) AS DecimalUP_Parse, CAST('false' AS BIT) AS Bool_Parse, CAST('1' AS BIT) AS Bool_INT_Parse, CAST('2014-05-21 22:10:05' AS DATETIME) AS DateTime_Parse, CAST('D544BC4C-739E-4CD3-A3D3-7BF803FCE179' AS UNIQUEIDENTIFIER) AS Guid_Parse FROM TB_USER a WHERE a.Age > CAST('33' AS INT)
*/
Case When
FluentSqlBuilder.Select<UserInfo>(p => new
{
年龄 = p.Age,
年龄段 = p.Age < 15 ?
"少年" :
((p.Age > 60) ?
"老年" :
(p.Age > 40) ? "中年" :
"青年")
});
/*生成SQL：
SELECT a.Age AS 年龄, (CASE WHEN (a.Age<15) THEN '少年' WHEN (a.Age>60) THEN '老年' WHEN (a.Age>40) THEN '中年' ELSE '青年' END) AS 年龄段 FROM TB_USER a
*/
分页
FluentSqlBuilder.Select<UserInfo>(u => new { u.Age, 现在时间 = now, u.Name, 局部变量 = "23" })
.OrderBy(p => p.Age).
ThenByDescending(p => p.Name).
TakePage(3, 15);
/*生成SQL：
SELECT TOP(15) [_proj].[Age], [_proj].[现在时间], [_proj].[Name], [_proj].[局部变量] FROM (SELECT ROW_NUMBER() OVER(ORDER BY a.Age ,a.Name DESC) AS [_row_number], a.Age, CAST('2017/9/5 16:03:29' AS DATETIME) AS 现在时间, a.Name, '23' AS 局部变量 FROM TB_USER a) [_proj] WHERE [_proj].[_row_number] >= 31 ORDER BY [_proj].[_row_number]
*/
//take range
FluentSqlBuilder.Select<UserInfo>(u => new { u.Age, 现在时间 = now, u.Name, 局部变量 = "23" })
.OrderBy(p => p.Age).
ThenByDescending(p => p.Name).
TakeRange(3, 15);
/*生成SQL：
SELECT TOP(15) [_proj].[Age], [_proj].[现在时间], [_proj].[Name], [_proj].[局部变量] FROM (SELECT ROW_NUMBER() OVER(ORDER BY a.Age ,a.Name DESC) AS [_row_number], a.Age, CAST('2017/9/5 16:03:29' AS DATETIME) AS 现在时间, a.Name, '23' AS 局部变量 FROM TB_USER a) [_proj] WHERE [_proj].[_row_number] >= 3 ORDER BY [_proj].[_row_number]
*/
Order By 排序
FluentSqlBuilder.Select<UserInfo>(u => new { CNAME = u.Name, u.Name, CID = u.Id }).OrderBy(p => p.Age).ThenByDescending(p => p.Name);
/*生成SQL：
SELECT a.Name AS CNAME, a.Name, a.Id AS CID FROM TB_USER a ORDER BY a.Age ,a.Name DESC
*/
FluentSqlBuilder.Select<UserInfo>(u => new { CNAME = u.Name, u.Name, CID = u.Id }).OrderByString("a.DTCreate desc ");
/*生成SQL：
SELECT a.Name AS CNAME, a.Name, a.Id AS CID FROM TB_USER a ORDER BY a.DTCreate desc
*/
GroupBy 分组
FluentSqlBuilder.Select<UserInfo>(p => new { p.Age, CountV = SqlFuncs.Sum(p.Age) })
.GroupBy(u => new { u.Age })
.ThenGroupBy(p => p.Id)
.Having(u => u.Age > 0 && SqlFuncs.Count() > 10);
/*生成SQL：
SELECT a.Age, SUM(a.Age) AS CountV FROM TB_USER a GROUP BY a.Age ,a.Id HAVING a.Age > 0 AND COUNT(1) > 10
*/
其他
//Top
FluentSqlBuilder.Select<UserInfo>(u => new { 现在时间 = now, 局部变量 = "23" }).Top(3);
/*生成SQL：
SELECT TOP 3 CAST('2017/9/5 16:03:29' AS DATETIME) AS 现在时间, '23' AS 局部变量 FROM TB_USER a
*/
//Distinct
FluentSqlBuilder.Select<UserInfo>(u => new { 现在时间 = now, 局部变量 = "23" }).Distinct();
/*生成SQL：
SELECT DISTINCT CAST('2017/9/5 16:03:29' AS DATETIME) AS 现在时间, '23' AS 局部变量 FROM TB_USER a
*/
SQLMAP (Mybatis风格)
<?xml version="1.0" encoding="utf-8" ?>
<SqlMap Scope="PURE.CUSTOM.NAMESPACE.TB_USER" xmlns="http://PureData.net/schemas/SqlMap.xsd">
<!--以下是缓存配置-->
<Caches>
<!--<Cache Id="TB_USER.LruCache" Type="Lru">
<Parameter Key="CacheSize" Value="100"/>
<FlushInterval Hours="0" Minutes="10" Seconds="0"/>
<FlushOnExecute Statement="TB_USER.Insert"/>
<FlushOnExecute Statement="TB_USER.Update"/>
</Cache>-->
</Caches>
<!--以下是SQL片段-->
<Statements>
<!--查询参数条件,用于Include引用-->
<Statement Id="QueryParams">
<Variable Property="Name"></Variable>
<Dynamic Prepend="Where">
<IsTrue Property="Yes">
1=1
</IsTrue>
<IsFalse Prepend="And" Property="No">
2=2
</IsFalse>
<IsNotEmpty Property="Name" Prepend="And">
Name Like Concat('%',:Name,'-%')
</IsNotEmpty>
<Foreach Prepend="And" Property="LikeNames" Index="index" Item="Name" Open="(" Separator="Or" Close=")">
Name Like Concat('%',?Name,'%')
</Foreach>
</Dynamic>
<Switch Prepend="Order By" Property="OrderBy">
<Case CompareValue="1">
Id Desc
</Case>
<Case CompareValue="2">
Id Asc
</Case>
<Case CompareValue="3">
Name Desc
</Case>
</Switch>
</Statement>
<!--获取数据列 - Include-->
<Statement Id="GetListInclude" Cache="TB_USER.LruCache">
SELECT T.* From TB_USER T
<Include RefId="QueryParams" />
</Statement>
<!--新增-->
<Statement Id="Insert">
INSERT INTO TB_USER
(Name)
VALUES
(:Name)
</Statement>
<!--删除-->
<Statement Id="Delete">
Delete TB_USER
Where Id=:Id
</Statement>
<!--更新-->
<Statement Id="Update">
UPDATE TB_USER
SET
Name = :Name
Where Id=:Id
</Statement>
<!--获取数据列-->
<Statement Id="GetList">
Select * From TB_USER T Where 1=1
<IsNotEmpty Prepend="And T.Id" Property="Ids" In="true" />
<IsNotEmpty Prepend="And" Property="Name">
And T.Name Like '%'+ :Name + '%'
</IsNotEmpty>
Order By Id Desc
</Statement>
<!--多条件组合查询-->
<Statement Id="GetListCombine">
Select * From TB_USER T Where 1=1
<IsNotEmpty Property="Name">
<IsGreaterEqual Property="Id" CompareValue="5">
<IsLessThan Property="Id" CompareValue="100">
And T.Name Like '%:Name%'
And T.Id >= :Id
</IsLessThan>
</IsGreaterEqual>
</IsNotEmpty>
Order By Id Desc
</Statement>
<!--获取分页数据-->
<Statement Id="GetListByPage">
Select TT.* From
(Select ROW_NUMBER() Over(Order By T.Id Desc) Row_Index,T.
* From TB_USER T
<Include RefId="QueryParams"/>) TT
Where TT.Row_Index Between ((:PageIndex-1)*:PageSize+1) An
d (:PageIndex*:PageSize)
</Statement>
<!--获取记录数-->
<Statement Id="GetRecord">
Select Count(1) From TB_USER T
<Include RefId="QueryParams"/>
</Statement>
<!--获取表映射实体-->
<Statement Id="GetEntity">
Select T.* From TB_USER T
Where 1=1
<IsNotEmpty Prepend="And" Property="Id">
T.Id=:Id
</IsNotEmpty>
</Statement>
<!--是否存在该记录-->
<Statement Id="IsExist">
Select Count(1) From TB_USER T
<Include RefId="QueryParams"/>
</Statement>
<!--Foreach 获取数据列-->
<Statement Id="GetListByFor" >
Select * From TB_USER T Where 1=1
<Foreach Prepend="And" Property="LikeNames" Index="index" Item="item" Open="(" Separator="Or" Close=")">
Name Like Concat('%',:item.Name,'%') and Id > :index and Id > :item.Id
</Foreach>
</Statement>
<!--Test属性中判断脚本
特殊字符比较
""标识字符串
''标识字符
字符标识
<if test="chr=='1'"></if>
字符串标识
<if test='str=="1"'></if>
例如：<if test='id != null and id > 28'></if>
mybatis对于这种大于小于等等还有另一种形式。
例如：<if test='id != null and id gt 28'></if>
对应关系：
and 对应 &&
or 对应 ||
gt 对应 >
gte 对应 >=
lt 对应 <(会报错 相关联的 "test" 属性值不能包含 '<' 字符)
lte 对应 <=(会报错 相关联的 "test" 属性值不能包含 '<' 字符)
eq 对应 ==
neq 对应 !=
-->
<!--If 条件标签-->
<Statement Id="GetListIfTest">
Select * From TB_USER T Where 1=1
<If Test='Ids!=null and Ids.Length > 0 '>
and T.Id in #{Ids}
</If>
<If Test='Name != "6662" '>
and T.Name != '6662'
</If>
</Statement>
<!--Bind 标签-->
<Statement Id="GetListBindTest">
Select * From TB_USER T Where 1=1
<Bind Name="bindName1" Value="22"></Bind>
<Bind Name="bindName2" Value='"hello"'></Bind>
<If Test='bindName1 lte 1000 and bindName2 != null and bindName2.Length > 0 '>
and T.Id = #{bindName1}
</If>
</Statement>
<!--Choose 标签-->
<Statement Id="GetListChooseTest">
Select * From TB_USER T Where 1=1
<Choose>
<When Test='Name != null and Name == "liweisi"'>
and Name=#{Name}
</When>
<When Test='ID > 0'>
and ID=#{ID}
</When>
<Otherwise>
and Name='otherwise'
</Otherwise>
</Choose>
</Statement>
<!--Trim 标签-->
<Statement Id="GetListTrimTest">
Select * From TB_USER T
<Trim Prefix="WHERE " PrefixOverrides="AND |OR ">
<If Test="Name!=null ">
and Name=#{Name}
</If>
<If Test=" Nam!=null">
and Name=#{Nam}
</If>
</Trim>
</Statement>
<!--Set and Where 标签-->
<Statement Id="updateUserSetTest" >
update TB_USER
<Set>
<If Test="Name!=null ">
Name=#{Name}
</If>
</Set>
<Where>
<If Test="ID!=null ">
ID=#{ID}
</If>
</Where>
</Statement>
<!--Foreach Include If 标签-->
<Statement Id="GetListForeachIncludeIfTest" >
Select * From TB_USER T Where 1=1
<Foreach Prepend="And" Property="LikeNames" Index="index" Item="item" Open="(" Separator="Or" Close=")">
<If Test='Name=="546"' >
Name Like '%#{item.Name}%' and Id > #{index} and Id > #{item.Id}
</If>
<If Test="Nam != null" >
Name =#{item.Name}
</If>
</Foreach>
</Statement>
<!--包括
Where
Any
All
FirstOrDefault
First
LastOrDefault
Last
SingleOrDefault
Single
Count
LongCount
Average(Long,Double,Float,Decimal)
Sum(Long,Double,Float,Decimal)
Max(Long,Double,Float,Decimal)
Min(Long,Double,Float,Decimal)
-->
<!--Linq部分函数支持-->
<Statement Id="GetListLinqTest" >
Select * From TB_USER T Where 1=1
<If Test="Name != ''" >
and Name = ${Name}
</If>
<If Test='LikeNames.Where("p.Id>22").Count() > 0' >
<Bind Name="MaxID" Value='LikeNames.Max("p.Id")'></Bind>
and Id = ${MaxID}
</If>
</Statement>
</Statements>
</SqlMap>
通过这种方式的调用SQLMAP执行：
var db = DbMocker.NewDataBase();
var resultGetListLinqTest = db.QuerySqlMap("TB_USER", "GetListLinqTest", new { Name = "fsdsd", ID = 2, Nam = "23", LikeNames = dd, Ids = new long[] { 1, 2, 3, 4 } });
db.LogHelper.Write(resultGetListLinqTest.RawSql);
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