首先我们做一下测试数据
1、创建测试数据
--创建人员表1--
create table Person1
(
Uid int identity(1,1) primary key,
Name varchar(20) not null
)
--创建人员表2--
create table Person2
(
Uid int identity(1,1) primary key,
Name varchar(20) not null
) --插入数据--
insert into Person1 values('曹操'),('郭嘉'),('典韦'),('孙权'),('周瑜')
insert into Person2 values('刘备'),('关羽'),('张飞'),('孙权'),('周瑜') --查询数据--
select * from Person1
select * from Person2
2、测试数据查询结果如下
1)表1和表2的数据
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" 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" alt="" width="211" height="137" />
3、集合中的并集、差集和交集
3.1、并集(union)
1)并集的定义
Union可以对两个或多个结果集进行连接,形成“并集”。子结果集所有的记录组合在一起形成新的结果集。
2)限制条件
2.1)子结果集要具有相同的结构。
2.2)字结果集的列数必须相同。
2.3)子结果集对应的数据类型必须可以兼容。
2.4)每个子结果集不能包含order by和compute子句
3) 并集的使用
--1、并集 union -- --1)去掉重复项的并集--
select Name from Person1
union
select Name from Person2 --2)不去掉重复项的并集--
select Name from Person1
union all
select Name from Person2
4)查询的结果
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" 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" alt="" width="226" height="217" />
3.2、差集(except)
1)差集的定义
Except可以对两个或多个结果集进行连接,形成“差集”。返回左边结果集合中已经有的记录,而右边结果集中没有的记录。
2) 限制条件
2.1)子结果集要具有相同的结构。
2.2)子结果集的列数必须相同
2.3)子结果集对应的数据类型必须可以兼容。
2.4)每个子结果集不能包含order by 和 compute子句。
3)差集的使用
--Except 差集---
select Name from Person1
except
select Name from Person2
4)查询的结果
aaarticlea/png;base64,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" 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3.3 、交集(InterSect)
1)交集的定义
InterSect可以对两个或多个结果集进行连接,形成“交集”。返回左边结果集和右边结果集中都有的记录
2)限制条件
2.1)子结果集要具有相同的结构。
2.2)子结果集的列数必须相同
2.3)子结果集对应的数据类型必须可以兼容。
2.4)每个子结果集不能包含order by 和 compute子句。
3)交集的使用
--InterSect 交集--
select * from Person1
InterSect
select * from Person2
4)查询的结果
aaarticlea/png;base64,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" 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参考网址:
http://www.cnblogs.com/kissdodog/archive/2013/06/24/3152743.html