内连接查询
内连接与SqL中inner join一样,即找出两个序列的交集
Model1Container model = new Model1Container();
//内连接
var query = from s in model.Student
join c in model.Course on s.CourseCno equals c.Cno
where c.Cno ==
select new
{
ClassID = s.CourseCno,
ClassName = c.Cname,
Student = new
{
Name = s.Sname,
ID = s.Sno
}
};
foreach (var item in query)
{
Response.Write("ClassID:" + item.ClassID + "ClassName:" + item.ClassName + "Name:" + item.Student.Name);
}
与上面的内连接语句相对应的SQL脚本语言如下所示:
SELECT [t0].[CourseCno] AS [ClassID], [t1].[Cname] AS [ClassName], [t0].[Sname] AS [Name], [t0].[Sno] AS [ID]
FROM [Student] AS [t0]
INNER JOIN [Course] AS [t1] ON [t0].[CourseCno] = [t1].[Cno]
WHERE [t1].[Cno] = @p0
二、左连接
左(外)连接与SqL中left join一样
Model1Container model = new Model1Container();
var query = from s in model.Student
join c in model.Course on s.CourseCno equals c.Cno into gc
from gci in gc.DefaultIfEmpty()
select new
{
ClassID = s.CourseCno,
ClassName = gci.Cname,
Student = new
{
Name = s.Sname,
ID = s.Sno
}
};
//Outer join时必须将join后的表into到一个新的变量gc中,然后要用gc.DefaultIfEmpty()表示外连接。
foreach (var item in query)
{
Response.Write("ClassID:" + item.ClassID + "ClassName:" + item.ClassName + "Name:" + item.Student.Name);
}
注:上例中使用了DefaultIfEmpty操作符,它能够为实序列提供一个默认的元素。DefaultIfEmpty使用了泛型中的default关键字。default关键字对于引用类型将返回null,而对于值类型则返回0。对于结构体类型,则会根据其成员类型将它们相应地初始化为null(引用类型)或0(值类型)
我们可以不使用default关键字,但在要DefaultIfEmpty中给定当空时的默认对象值。语句如下:
//left join, 为空时使用默认对象
var leftJoinQuery = from s in model.Student
join c in model.Course
on s.CourseCno equals c.Cno into gc
from gci in gc.DefaultIfEmpty(
new Course { Cname = "",Cperiod="" } //设置为空时的默认值
)
select new
{
ClassID = s.CourseCno,
ClassName = gci.Cname,
};
与上面的左外连接语句相对应的SQL脚本语言如下所示:
右连接只要把 查询对象的顺序对调就是了。例如:
、左连接:
var LeftJoin = from emp in ListOfEmployees
join dept in ListOfDepartment
on emp.DeptID equals dept.ID into JoinedEmpDept
from dept in JoinedEmpDept.DefaultIfEmpty()
select new
{
EmployeeName = emp.Name,
DepartmentName = dept != null ? dept.Name : null
}; 、右连接:
var RightJoin = from dept in ListOfDepartment
join employee in ListOfEmployees
on dept.ID equals employee.DeptID into joinDeptEmp
from employee in joinDeptEmp.DefaultIfEmpty()
select new
{
EmployeeName = employee != null ? employee.Name : null,
DepartmentName = dept.Name
};
全连接查询例子:
var res = from a in sys.Apple
from b in sys.Banana
select new {
a.Id,
a.Name,
//Bananas = b1
t = b.AppleId
};
LINQ的连接查询通过join字句实现,但一个join字句一次只能连接2个数据源。其基本语法如下:
var query= from a in list1
jion b in list2
on a.id equals b.id
select ……
当有3个或更多的数据源需要连接查询时,当个join字句就不能胜任了。解决办法有2个:一是嵌套查询,二是将连接查询的结果和另外的数据源再次连接查询。
第二种方法的实例查询如下:
var query = from x in stuinfo
join y in studetail
on x.sid equals y.sid
select new {sid=x.sid,sname=x.sname,ssex=y.ssex }; var query2 = from z in query
join k in stuscore
on z.sid equals k.sid
select new {sid=z.sid,sname=z.sname,ssex=z.ssex,smath=k.smath
};
foreach (var t in query2)
{
listBox1.Items.Add(t.sid+"-"+t.sname+"-"+t.ssex+"-"+t.smath);
}
交叉连接查询
交叉连接与SqL中Cross join一样。如下例中找出SampleData.Publishers与SampleData.Books的交叉连接。
交叉连接查询语句:
var crossJoinQuery = from publisher in SampleData.Publishers
from book in SampleData.Books
select new
{
PublisherName = publisher.Name,
BookName = book.Title
};
查询操作符语句:
//不使用查询表达式
SampleData.Publishers.SelectMany(publisher => SampleData.Books.Select(
book => new
{
PublisherName = publisher.Name,
BookName = book.Title
}
));
LinQ中Union合并查询:连接不同的集合,自动过滤相同项;延迟。即是将两个集合进行合并操作,过滤相同的项
var cities = (from p in mylinq.System_Places
where p.PID == place
select p).Union(
from q in mylinq.System_Places
where q.Parentid==place
select q
);
LinQ中的Concat连接查询:连接不同的集合,不会自动过滤相同项;延迟。
(from p in System_Places
where p.PID ==
select p).Concat(
from q in System_Places
where q.Parentid==
select q
).Concat(
from n in System_Places
where n.Parentid==
select n
)
LinQ中的Intersect相交查询:获取不同集合的相同项(交集),即两集合都出现的项。
(from c in Bst_System_Places
select c.CnPlaceName).Intersect(
from e in Bst_Company_Jobs
select e.WorkPlace)
LinQ中的Except与非查询:排除相交项,即从某集合中排除与另一集合中相同的项,以前集合为主
(from e in Bst_Company_Jobs
select e.WorkPlace).Except(
from c in Bst_System_Places
select c.CnPlaceName)
另可对照sql的连接查询随笔:区分SQL Server关联查询之inner join,left join, right join, full outer join并图解
http://www.cnblogs.com/shy1766IT/p/5191917.html