SQL查询技巧与应用-优快云博客

最新推荐文章于 2024-05-04 10:04:12 发布

xufei96

最新推荐文章于 2024-05-04 10:04:12 发布

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文章标签： tsql

版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。

本文链接：https://blog.youkuaiyun.com/xufei96/article/details/6600532

本文深入探讨了SQL查询中的并集、交集、差集操作，以及如何利用ROW_NUMBER函数进行排序与分页。通过实际代码示例，展示了在HR员工表与销售客户表中查询国家、地区和城市信息的方法，包括并集查询、交集查询、差集查询以及排序与分页技术。

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use tsql2012;

select country, region, city from hr.employees

union all

select country, region, city from sales.customers;

select country, region, city from hr.employees

union

select country, region, city from sales.customers;

select country, region, city from hr.employees

intersect

select country, region, city from sales.customers;

select row_number() over(partition by country, region, city order by (select 0)) as rownum,

country, region, city

from hr.employees

intersect

select row_number() over(partition by country, region, city order by (select 0)) as rownum,

country, region, city

from sales.customers;

with intersect_all

as

(select row_number() over(partition by country, region, city order by (select 0)) as rownum,

country, region, city

from sales.customers

intersect

select row_number() over(partition by country, region, city order by (select 0)) as rownum,

country, region, city

from hr.employees)

select country, region, city from intersect_all;

select country, region, city from hr.employees

except

select country, region, city from sales.customers;

select country, region, city from sales.customers

except

select country, region, city from hr.employees;

with except_all

as

(select row_number() over(partition by country, region, city order by (select 0)) as rownum,

country, region, city

from hr.employees

except

select row_number() over(partition by country, region, city order by(select 0)) as rownum,

country, region, city

from sales.customers)

select country, region, city from except_all;

select country, count(*) as numlocations

from (select country, region, city from hr.employees

union

select country, region, city from sales.customers) as U

group by u.country;

select empid, orderid, orderdate

from (select top(2) empid, orderid, orderdate

from sales.orders

where empid = 3

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