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[经验分享] Sql Server中集合的操作(并集、差集、交集)学习

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发表于 2017-12-14 15:45:27 | 显示全部楼层 |阅读模式
  首先我们做一下测试数据
  1、创建测试数据
  

  
create table Person1
  
(

  Uid int>  Name varchar(20) not null
  
)
  

  
create table Person2
  
(

  Uid int>  Name varchar(20) not null
  
)
  

  

  
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')
  

  

  
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
http://www.cnblogs.com/xielong/p/data:image/png;base64,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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
  

  
select * from Person1
  
InterSect
  
select * from Person2
  

  4)查询的结果
http://www.cnblogs.com/xielong/p/data:image/png;base64,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

  参考网址:
  http://www.cnblogs.com/kissdodog/archive/2013/06/24/3152743.html

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