RANK()和DENSE_RANK()函数之间的区别是什么?如何在下面的emptbl表中找出第n个工资?

DEPTNO  EMPNAME    SAL
------------------------------
10       rrr    10000.00
11       nnn    20000.00
11       mmm    5000.00
12       kkk    30000.00
10       fff    40000.00
10       ddd    40000.00
10       bbb    50000.00
10       ccc    50000.00

如果在表数据为空的情况下,如果我想找出第n个工资会发生什么?


当前回答

我在本文中对此进行了更详细的解释。本质上,你可以这样看:

CREATE TABLE t AS
SELECT 'a' v FROM dual UNION ALL
SELECT 'a'   FROM dual UNION ALL
SELECT 'a'   FROM dual UNION ALL
SELECT 'b'   FROM dual UNION ALL
SELECT 'c'   FROM dual UNION ALL
SELECT 'c'   FROM dual UNION ALL
SELECT 'd'   FROM dual UNION ALL
SELECT 'e'   FROM dual;

SELECT
  v,
  ROW_NUMBER() OVER (ORDER BY v) row_number,
  RANK()       OVER (ORDER BY v) rank,
  DENSE_RANK() OVER (ORDER BY v) dense_rank
FROM t
ORDER BY v;

以上将产生:

+---+------------+------+------------+
| V | ROW_NUMBER | RANK | DENSE_RANK |
+---+------------+------+------------+
| a |          1 |    1 |          1 |
| a |          2 |    1 |          1 |
| a |          3 |    1 |          1 |
| b |          4 |    4 |          2 |
| c |          5 |    5 |          3 |
| c |          6 |    5 |          3 |
| d |          7 |    7 |          4 |
| e |          8 |    8 |          5 |
+---+------------+------+------------+

用文字

ROW_NUMBER()为每一行赋予一个唯一的值 RANK()将相同的行号属性为相同的值,留下“孔” DENSE_RANK()将相同的行号属性为相同的值,不留下“孔”

其他回答

秩和密集秩给出了分区数据集中的秩。

Rank():它不会给你连续的整数。

Dense_rank():它提供连续的整数。

在上图中,10008 zip的rank由dense_rank()函数表示为2,rank()函数表示为24,因为它考虑了row_number。

SELECT empno,
       deptno,
       sal,
       RANK() OVER (PARTITION BY deptno ORDER BY sal) "rank"
FROM   emp;

     EMPNO     DEPTNO        SAL       rank
---------- ---------- ---------- ----------
      7934         10       1300          1
      7782         10       2450          2
      7839         10       5000          3
      7369         20        800          1
      7876         20       1100          2
      7566         20       2975          3
      7788         20       3000          4
      7902         20       3000          4
      7900         30        950          1
      7654         30       1250          2
      7521         30       1250          2
      7844         30       1500          4
      7499         30       1600          5
      7698         30       2850          6


SELECT empno,
       deptno,
       sal,
       DENSE_RANK() OVER (PARTITION BY deptno ORDER BY sal) "rank"
FROM   emp;

     EMPNO     DEPTNO        SAL       rank
---------- ---------- ---------- ----------
      7934         10       1300          1
      7782         10       2450          2
      7839         10       5000          3
      7369         20        800          1
      7876         20       1100          2
      7566         20       2975          3
      7788         20       3000          4
      7902         20       3000          4
      7900         30        950          1
      7654         30       1250          2
      7521         30       1250          2
      7844         30       1500          3
      7499         30       1600          4
      7698         30       2850          5
select empno
       ,salary
       ,row_number() over(order by salary desc) as Serial
       ,Rank() over(order by salary desc) as rank
       ,dense_rank() over(order by salary desc) as denseRank
from emp ;

Row_number() ->用于生成序列号

Dense_rank()将给出连续的排名,但rank()将在排名冲突的情况下跳过排名。

rank():用于在一组行中对记录进行排序。

dense_rank(): dense_rank函数的作用类似于RANK函数,只是它分配连续的等级。

查询-

select 
    ENAME,SAL,RANK() over (order by SAL) RANK
from 
    EMP;

输出-

+--------+------+------+
| ENAME  | SAL  | RANK |
+--------+------+------+
| SMITH  |  800 |    1 |
| JAMES  |  950 |    2 |
| ADAMS  | 1100 |    3 |
| MARTIN | 1250 |    4 |
| WARD   | 1250 |    4 |
| TURNER | 1500 |    6 |
+--------+------+------+

查询-

select 
    ENAME,SAL,dense_rank() over (order by SAL) DEN_RANK
from 
    EMP;

输出-

+--------+------+-----------+
| ENAME  | SAL  |  DEN_RANK |
+--------+------+-----------+
| SMITH  |  800 |         1 |
| JAMES  |  950 |         2 |
| ADAMS  | 1100 |         3 |
| MARTIN | 1250 |         4 |
| WARD   | 1250 |         4 |
| TURNER | 1500 |         5 |
+--------+------+-----------+

我在本文中对此进行了更详细的解释。本质上,你可以这样看:

CREATE TABLE t AS
SELECT 'a' v FROM dual UNION ALL
SELECT 'a'   FROM dual UNION ALL
SELECT 'a'   FROM dual UNION ALL
SELECT 'b'   FROM dual UNION ALL
SELECT 'c'   FROM dual UNION ALL
SELECT 'c'   FROM dual UNION ALL
SELECT 'd'   FROM dual UNION ALL
SELECT 'e'   FROM dual;

SELECT
  v,
  ROW_NUMBER() OVER (ORDER BY v) row_number,
  RANK()       OVER (ORDER BY v) rank,
  DENSE_RANK() OVER (ORDER BY v) dense_rank
FROM t
ORDER BY v;

以上将产生:

+---+------------+------+------------+
| V | ROW_NUMBER | RANK | DENSE_RANK |
+---+------------+------+------------+
| a |          1 |    1 |          1 |
| a |          2 |    1 |          1 |
| a |          3 |    1 |          1 |
| b |          4 |    4 |          2 |
| c |          5 |    5 |          3 |
| c |          6 |    5 |          3 |
| d |          7 |    7 |          4 |
| e |          8 |    8 |          5 |
+---+------------+------+------------+

用文字

ROW_NUMBER()为每一行赋予一个唯一的值 RANK()将相同的行号属性为相同的值,留下“孔” DENSE_RANK()将相同的行号属性为相同的值,不留下“孔”