Oracle中的 row_number() over (partition by order by ) 用法

oracle 里面经常这样用

select col1,col2..., row_number() over (partition by colx order by coly) from table_name;;

这句话的意思是把表中的数值按照colx 分组，每一组内部按照coly排序，同时 row_number()返回排序之后该记录在改组内部的序号。

比如我们知道有emp表如下：

SQL> SELECT * FROM SCOTT.EMP;

     EMPNO ENAME                          JOB                                MGR HIREDATE                  SAL       COMM     DEPTNO

---------- ------------------------------ --------------------------- ---------- ------------------ ---------- ---------- ----------

      7369 SMITH                          CLERK                             7902 17-DEC-80                 800                    20

      7499 ALLEN                          SALESMAN                          7698 20-FEB-81                1600        300         30

      7521 WARD                           SALESMAN                          7698 22-FEB-81                1250        500         30

      7566 JONES                          MANAGER                           7839 02-APR-81                2975                    20

      7654 MARTIN                         SALESMAN                          7698 28-SEP-81                1250       1400         30

      7698 BLAKE                          MANAGER                           7839 01-MAY-81                2850                    30

      7782 CLARK                          MANAGER                           7839 09-JUN-81                2450                    10

      7788 SCOTT                          ANALYST                           7566 19-APR-87                3000                    20

      7839 KING                           PRESIDENT                              17-NOV-81                5000                    10

      7844 TURNER                         SALESMAN                          7698 08-SEP-81                1500          0         30

      7876 ADAMS                          CLERK                             7788 23-MAY-87                1100                    20

      7900 JAMES                          CLERK                             7698 03-DEC-81                 950                    30

      7902 FORD                           ANALYST                           7566 03-DEC-81                3000                    20

      7934 MILLER                         CLERK                             7782 23-JAN-82                1300                    10

用下面的语句显示如下：

SQL> SELECT ENAME,DEPTNO,EMPNO,ROW_NUMBER() OVER(PARTITION BY DEPTNO ORDER BY EMPNO) FROM SCOTT.EMP;

ENAME                              DEPTNO      EMPNO ROW_NUMBER()OVER(PARTITIONBYDEPTNOORDERBYEMPNO)

------------------------------ ---------- ---------- -----------------------------------------------

CLARK                                  10       7782                                               1

KING                                   10       7839                                               2

MILLER                                 10       7934                                               3

SMITH                                  20       7369                                               1

JONES                                  20       7566                                               2

SCOTT                                  20       7788                                               3

ADAMS                                  20       7876                                               4

FORD                                   20       7902                                               5

ALLEN                                  30       7499                                               1

WARD                                   30       7521                                               2

MARTIN                                 30       7654                                               3

BLAKE                                  30       7698                                               4

TURNER                                 30       7844                                               5

JAMES                                  30       7900                                               6