dense_rank(),rank(),row_number()的输出差异

本文通过具体实例介绍了SQL中三种不同的排名函数:DENSE_RANK(), RANK() 和 ROW_NUMBER() 的使用方法,并展示了如何从每个部门选取最高薪资的前四名员工。

SQL> select * from employee;

        ID     DEPTID NAME                     SALARY
---------- ---------- -------------------- ----------
         5          2 e                           400
         6          2 f                           200
         1          1 a                           100
         2          1 b                           200
         3          2 c                           300
         4          2 d                           300

6 rows selected.

Elapsed: 00:00:00.01
SQL> select *
  2    from (select e1.deptid,
  3                 e1.name,
  4                 e1.salary,
  5                 dense_rank() over(partition by e1.deptid order by e1.salary desc) rn
  6            from employee e1)
  7   where rn <= 4;

    DEPTID NAME                     SALARY         RN
---------- -------------------- ---------- ----------
         1 b                           200          1
         1 a                           100          2
         2 e                           400          1
         2 c                           300          2
         2 d                           300          2
         2 f                           200          3

6 rows selected.

Elapsed: 00:00:00.00
SQL> edit
Wrote file afiedt.buf

  1  select *
  2    from (select e1.deptid,
  3                 e1.name,
  4                 e1.salary,
  5                 rank() over(partition by e1.deptid order by e1.salary desc) rn
  6            from employee e1)
  7*  where rn <= 4
SQL> /

    DEPTID NAME                     SALARY         RN
---------- -------------------- ---------- ----------
         1 b                           200          1
         1 a                           100          2
         2 e                           400          1
         2 c                           300          2
         2 d                           300          2
         2 f                           200          4

6 rows selected.

Elapsed: 00:00:00.03
SQL> edit
Wrote file afiedt.buf

  1  select *
  2    from (select e1.deptid,
  3                 e1.name,
  4                 e1.salary,
  5                 row_number() over(partition by e1.deptid order by e1.salary desc) rn
  6            from employee e1)
  7*  where rn <= 4
SQL> /

    DEPTID NAME                     SALARY         RN
---------- -------------------- ---------- ----------
         1 b                           200          1
         1 a                           100          2
         2 e                           400          1
         2 c                           300          2
         2 d                           300          3
         2 f                           200          4

6 rows selected.

来自 “ ITPUB博客 ” ,链接:http://blog.itpub.net/22034023/viewspace-673847/,如需转载,请注明出处,否则将追究法律责任。

转载于:http://blog.itpub.net/22034023/viewspace-673847/

评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符  | 博主筛选后可见
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值