1、简介:"联结(join)表"是SQL最强大的功能之一。联结是利用SQL的SELECT能执行的最重要的操作,很好地理解联结及其语法是学习SQL的极为重要的部分!

在能够有效的使用联结前,必须了解关系表以及关系型数据库设计的一些基础知识。

2、关系表

下面通过一个列子来理解关系表。

有一个包含产品目录的数据库表,其中每类物品占一行。对于每一种物品,要存储的信息包括产品描述、价格以及生产该产品的供应商。关于供应商,现在一个供应商生产多个产品,那么在何处存储供应商名、地址、联系方式等供应商信息呢?这里正确的做法是将供应商的信息和产品信息分开存储到两个表中,而分开的理由是:

(1)同一供应商生产的每个产品,其供应商信息是相同的,对每个产品重复此信息既浪费时间又浪费存储空间;

(2)如果供应商信息发生变化,只需修改一次供应商信息即可,而不需要去每个产品的信息中修改;

(3)如果有重复数据(即每种产品都存储供应商信息),则很难保证每次输入该数据的方式(也就是说输错供应商信息)都相同。不一致的数据在报表中就很难利用到;

关键是,相同的数据出现多次绝对不是一件好事,这是关系型数据库设计的基础。关系表的设计就是要把信息分解成多个表,一类数据一个表。各表之间通过某些共同的值相互关联(所以才叫关系型数据库,大多数情况下采用主键关联);

综上所述,我们建立两个表:一个存储供应商信息(Vendors),另一个存储产品信息(Products),Products表通过存储Vendors的主键实现两个表之间的通信(关联)。

这样做的好处是:

(1)供应商的信息不会重复,不会浪费时间和存储空间,每个产品只需要存储一个供应商Id,就可以通过它知道所有关于供应商的信息(前提是供应商Id要是唯一的);

(2)如果供应商的信息发生变动,只需要更新Vendors(供应商)表,相关表的数据不用改动;

(3)由于数据不重复,数据显然是一致的,使得处理数据和生成报表更简单;

总之,关系型数据库可以有效的存储,方便的处理。因此,关系型数据库的可伸缩性远比非关系数据库的要好。

可伸缩性:能够适应不断增加的工作量而不失败。设计良好的数据库或应用程序称为可伸缩性好。

3、像2中所说的将数据分解成多个表能有效的存储,更方便的处理,并且可伸缩性更好。但这些好处是有代价的。

因为如果数据存储在多个表中,怎样用一条SELECT语句就检索出想要的数据呢?这个时候就需要使用到SQL的联结表技术了,简答的说,联结是一种机制,用来在一条SELECT语句中关联多个表,因此称为联结。使用特殊的语法,可以联结多个表返回一组输出,联结在运行时关联表中正确的行。

下面通过代码来理解联结的作用:

create database Study
go
use Study
go create table Products
(
Id int identity(1000,1),
Name varchar(50) null,
Price decimal(4,1) null,
VendorId int null
)
insert into Products values('黑曼巴',666.6,100000)
insert into Products values('淘宝网',100.6,100001)
insert into Products values('人工智能汽车',366.6,100002)
insert into Products values('英雄联盟',166.6,100005)
insert into Products values('万达广场',66.6,100006)
select * from Products create table Vendors
(
Id int identity(100000,1),
Name varchar(20) null,
Adress varchar(255) null,
Tel varchar(11) null
)
insert into Vendors values('Nick','America California','')
insert into Vendors values('Alibaba','Hangzhou China','')
insert into Vendors values('BaiDu','BeiJing China','')
insert into Vendors values('Tencent','ShenZheng China','')
insert into Vendors values('WanDa','DaLian China','')
select * from Vendors

这是关系库和关系表的SQL代码!

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" alt="" />

这是两个表的数据图,现在有个报表程序需要所有产品的详细信息,包括产品的名称、价格、供应商名称、供应商的地址等;

简单的分析下问题,我们发现产品的名称、价格、可以从Products表中获取,但是供应商名称、供应商的地址却需要从Vendors表中获取!这个时候我们就需要使用SQL的"联结表技术"了,下面是解决代码:

select Vendors.Name,Vendors.Adress,Products.Name,Products.Price from Vendors,Products WHERE Vendors.Id=Products.VendorId

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" alt="" />

ok,完成需求!

下面分析下上面那段代码:首先SELECT语句和之前随笔中的SELECT语句都一样,即指定要检索的列,这里最大的差别是所指定的两列(Products.Name,Products.Price)在Products表中,而列外两列(Vendors.Name,Vendors.Adress)却在另一个表(Vendors)中,所以FROM语句和之前随笔中的不同,这里的FROM子句列出了两个表(Products表和Vendors表),最后再看WHERE子句,这里WHERE子句的作用是只是DBMS将Vendors表中的Id与Products表中的VendorId进行匹配,即Vendors表中每一行将于Products表中的每一行进行条件判断,条件是Vendors表的Id和Products表的VendorId是否相等,如果相等的话,再将两条记录进行合并(这是我个人的假想),通过SELECT语句返回对应的记录,如果不相等,则将对应的行记录过滤!

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" alt="" />

注意:如果不指定WhERE子句,相当于没有联结条件(过滤条件),那么返回的结果就是笛卡尔积,检索出的行数等于(A表的行数乘以B表的行数,从上面的流程图就可以看出)。代码如下:

select Vendors.Name,Vendors.Adress,Products.Name,Products.Price from Vendors,Products 

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" alt="" />

4、内联结

像上面例子中的两个表的数据联结成为等值联结,它基于两个表之间的相等测试,这种联结也称为内联结,其实,可以对上面列子中的两个表之间的联结使用稍微不同的语法,明确指定联结的类型,也能完成同样的效果。下面我们通过使用内联结的语法,来获取上面列子想要的数据。代码如下:

select a.Name,a.Adress,b.Name,b.Price from Vendors a INNER JOIN Products b ON a.Id=b.VendorId

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iYJzhEPvsYleAsIuYJDpHPPkYlOIuIeYJD5LOPUQnOlIiBb31gFeaq1z+UvRVfVfr9uQUc2nFAzedSp8Q0n+llullx/ZqULCrU65mNBICK1/eKYuJNVdHaUSzCEJO+JwK8CiLZ5FqJhMfqgB1aMhWfWQ0MB3pDabncXiO2+AyfqiXTG824q+yiJW6pZn1DtIQaW2uKRU3yM8hDkfMiRZWHwK4d9gzHofj3wPR6Wzd6Q5fba2ujUTO1oZfBZztSAVmEzGfO9hSLNOeZVdkoVpATPqT87Exv6GCDDA/Ppq+T6UVtsSGZ3pB4qlewiA+v1EO9/Cxo94Ct8mukChr5VZa5OiokhCTOZ1am0NpdeaBYJAkuwQtdh6s/x9M42ErsRDy0DiEbmv4gd6U3dDAgG7PV/ekkSSYXVvSGhFOFRXwkSj3ZNFijVdP59gk1ccoJBjimdD7vjV9QXaMrLxSL5HzW/EzwTCvWmeOEB68IHvLZgd5QQeNW+SwX8cGYWa9VnaiczK8EoYUrhnIKN8pTpubD9bryQ7HIOJ/nKrqCnJcc10M+t683dD5OGNSs6A0Jp8rK+khHIVenRqs6UaEchkmocuPqZC4+2KjXlYTPLSoWNeEzlktFPkt6kxy0Tat0/+xAb8iUeFg1PqMiPvTYAufbqlbN+MzcxmD5Wct56I6oZldeKBaZ/b0KrFPwmSa2fg6vx8+qVmWQO9IbSm0xTmzpDQGneoKK+DCjVngepm6VVlA8SJe4Sj0iynVIZY5hbhQ34VShf3+u0JUXikU6MxqQgfRXXB2M4ZLesG+95HPUG2rLAnKVMXeKRXLEuAwpJkyOrkrmEzyxg9W84XNLDkS9Ib+iUsW8UCySz7f1vyLUpJpLyFVbicUhDi0HIuoN+RWV4Cwi5gkOPJ+j3pAPUQnOImKe4CC+Hxb1htxHJTiLiHmCA8/nWGKJJejC8LnJiotm6zE8soBc9cQiYp7gEPnsY1SCs4iYJzhEPvsYleAsIuYJDpHPPkYlOGuIGPaTsn59zYae42DKAQmfj0blD/KNFA2QU2XeR93f6oACDmo7Bv/zo+mo6B9F70VxpbWjFmRqGImm/46H+N6I/IiS11TAQ7vFYX5lRV0Ic0DO59FRfRYr+UyvFznc7HY6XVbQR/NMmIGueGe9flT0j6KzdFFlrakFNTdlXqrKKDBj17gu1Di0HRysqAthDuB8vtxuqjOk4jO1dme3132zU9C70tvIJvijjor+UQzQrD21oOZmis8SrupkbB16u8HBjroQ5gCuN3T+rlgBbU1vKF9EkhL4+E2nkGvYOpyLqjfHiOYOA0HWp75ijlZU9I+CMF/rXOBjlTuNqwVZHMe5SXglkhCsr39FqNqkBRwsqQthDuB6Q7MNkkxPV/fL1cU4IYOZDX2SLBHtb3WyVaCc1E5hEmUc5VL+KplNm8/4UZSZXKnyg/HZglqQvXFcmCTxFhUkm+Ae7EDYEe2dvhIHS+pCmAMS/TBAe8i43tD+Vqe3V3Aj/YDID0mUcaDMqa+YozU69Y+CkVPnXOBjCTtVq5frnbvZcVyYkp9iXlUyXHkguh/nfLahLoQ5oNYnaS5Ronj011/v5WNuf6vT28pm3bzktSafqyvm6ESlwlE0a/qhFmRvHBdWg8/YTv0D+cNnS+pCmAMonxfjhAwObpd3t8uDAUnGp5b0hnZ7hH+On5+GoHqj5rMo4FLtGUPF59vQUVA+a5xLbq2pBVkcx1cnc5UmCbepuV9yLJDGjvlsR10Ic0CmN/TTIJuy2dQb4nStGeFLXvVGObck3A/aRufbmkdhaxZaQlrnQlk7akE2x/HJvAqfJWlcSciCyWAr13y2oi6EORD1hrSjEq0iYhiRsIlx1X40m7jnc4uBiHpDfkUlOJO8HybuoRPpXGCdWMB+lEZn5nbILMGh5UBEvSG/ohKcRcQ8wYHnc9Qb8iEqwVlEzBMcxPfDot6Q+6gEZxExT3Dg+RxLLLEEXRg+m1h5UXE9hn8WkKueWETMExwin32MSnAWEfMEh8hnH6MSnEXEPMEh8tnHqARnETFPcNDgc6E41EynRHGqe+sEXD+gs5bA9HoD1FWjqgnGT8GhOFHN4L44U/GZ+f+S5QL1/KVOcQ+LofoNUCWfj0Y5kY9GjQTE5Ke60ye9fr6sBHszGbPIZ9fiRDWDa8ETt4bjUPyHYGoVcLkokvtnwOLSOl0FIhWfG5JYl8+Hm931nUzJIObnGuZYnKhmcF+cVcjPlJzWTp/09qA9RUPtFXI8nzm9obPpazI8bCIzpKE3dJJrDLEXqvLveo+9tkGqPao6RqLSREVIUBdg/jW8oonkf8dDm9TOdsSJ7AV3p89MRystBm7f9PlML2xOP4t7iob6CkQ8nzl9ktNJkgw3Mgmx4UFtcRINfRLqNBAlHeCs9OsYiQq3CpII6xBR9R9qISvrT+awtElZpyqf2xInahDcbFohDW7KAebm00+zx2dNBSI1n1vRD2MZIlnZC+r76NQxEhWMRXJ/JOucaW+VTWrl53bEiSwGF5qOemsW83N5ay2bQAl85vSGZsNCY8iW3tBxIS10ks3K9ioq6ejUMRIVmEUa/sBURJJ2DT67FieyGNyrjMk7feEE/TN798+aCkQqPi8PBmS4v7y7XZ6PEzKYmdcbgqcWzJSsvKSR/i6sQKSsY2p0wnxWqggB1GVmmNImOiflVpzIYnDz07EtsWLEKvCZuazrPN/WUiDi+SzqDX3cH2aTn8HMgt4QIy2UnSc3MRPmgYBqj7KOkaggs9zKikg5XfOSZy2siXhSuYARR56ix5bFieoHt9tBz5Ha6f+TMMXIKQGp9PtzZQUins9Rb0gjKs0shPvAlhDTndsH8CSsEQ6mHYh6Q7ajstsrk04A94EtIabDZ0bs1XdzPsh5Pke9IR+iEpxFxDzBgedz1BvyISrBWUTMExzE98Oi3pD7qARnETFPcOD5HEsssYRbUlZnfHZ+eYsWLVpz+z/RO4GNnJX5igAAAABJRU5ErkJggg==" alt="" />

ok,完成需求!通过内联结 INNER JOIN

比较一下两种实现代码发现:两端代码的SELECT语句是一样的,但FROM子句不同,内联结的FROM子句是告诉DBMS两张表的联结方式是INNER JOIN(内联结),联结的条件是ON 子句而不是WHERE子句这也是区别于上面列子的,但实际内联结的ON 子句与WHERE子句的作用是一样的。

5、联结多个表

SQL不限制一条SELECT 语句中可以联结的表数目,但事实上,许多DBMS对此都有限制,因为DBMS在运行时关联指定的每个表,以处理联结。这种处理非常耗资源,因此在实际的开发中,应该要注意,不要联结不必要的表,联结的表越多,性能下降就越厉害!例如:

select * from
dbo.Products,
dbo.Vendors,
dbo.OrderItems
where Vendors.Id=dbo.Products.VendorId
and dbo.OrderItems.ProductId=dbo.Products.Id
and dbo.OrderItems.OrderId=1

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" alt="" />

这个列子显示了订单编号为1的详细信息;

通过内联结在实现一次这个需求:

select * from
dbo.Products INNER JOIN
dbo.Vendors ON Vendors.Id=dbo.Products.VendorId INNER JOIN
dbo.OrderItems ON dbo.OrderItems.ProductId=Products.Id
where dbo.OrderItems.OrderId=1

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" 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