Column alias for the analytical function is used in the final ORDER BY : Analytical Functions Basics « Analytical Functions « Oracle PL / SQL






Column alias for the analytical function is used in the final ORDER BY



SQL>
SQL> -- create demo table
SQL> create table Employee(
  2    empno              Number(3)  NOT NULL, -- Employee ID
  3    ename              VARCHAR2(10 BYTE),   -- Employee Name
  4    hireDate          DATE,                -- Date Employee Hired
  5    orig_salary        Number(8,2),         -- Orignal Salary
  6    curr_salary        Number(8,2),         -- Current Salary
  7    region             VARCHAR2(1 BYTE)     -- Region where employeed
  8  )
  9  /

Table created.

SQL>
SQL>
SQL> -- prepare data for employee table
SQL> insert into Employee(empno,  ename,  hireDate,                   orig_salary, curr_salary, region)
  2                values(122,'Alison',to_date('19960321','YYYYMMDD'), 45000,       NULL,       'E')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(123, 'James',to_date('19781212','YYYYMMDD'), 23000,       32000,       'W')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(104,'Celia',to_date('19821024','YYYYMMDD'), NULL,       58000,        'E')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(105,'Robert',to_date('19840115','YYYYMMDD'), 31000,      NULL,        'W')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(116,'Linda', to_date('19870730','YYYYMMDD'), NULL,       53000,       'E')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(117,'David', to_date('19901231','YYYYMMDD'), 78000,       NULL,       'W')
  3  /

1 row created.

SQL> insert into Employee(empno,  ename,  hireDate,                       orig_salary, curr_salary, region)
  2                values(108,'Jode',  to_date('19960917','YYYYMMDD'), 21000,       29000,       'E')
  3  /

1 row created.

SQL>
SQL> -- display data in the table
SQL> select * from Employee
  2  /

     EMPNO ENAME      HIREDATE  ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
       122 Alison     21-MAR-96       45000             E
       123 James      12-DEC-78       23000       32000 W
       104 Celia      24-OCT-82                   58000 E
       105 Robert     15-JAN-84       31000             W
       116 Linda      30-JUL-87                   53000 E
       117 David      31-DEC-90       78000             W
       108 Jode       17-SEP-96       21000       29000 E

7 rows selected.

SQL>
SQL>
SQL> -- column alias for the analytical function is used in the final ORDER BY
SQL>
SQL> SELECT empno, ename, NVL(curr_salary,44444),
  2    RANK()
  3    OVER(ORDER BY NVL(curr_salary,44444) desc) salary
  4  FROM employee
  5  ORDER BY salary;

     EMPNO ENAME      NVL(CURR_SALARY,44444)     SALARY
---------- ---------- ---------------------- ----------
       104 Celia                       58000          1
       116 Linda                       53000          2
       122 Alison                      44444          3
       105 Robert                      44444          3
       117 David                       44444          3
       123 James                       32000          6
       108 Jode                        29000          7

7 rows selected.

SQL>
SQL>
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee;

Table dropped.

SQL>
SQL>
           
       








Related examples in the same category

1.The direct application of a WHERE clause in the query is not allowed
2.Use multiple analytical functions
3.Combine analytical function with count(*)
4.Adding an Analytical Function to a Query that Contains a Join (and Other WHERE Conditions)
5.Adding an Analytical Function to the GROUP BY with ORDER BY Version
6.Changing the Final Ordering after Having Added an Analytical Function
7.Use an analytical function in a WHERE clause
8.More Than One Analytical Function May Be Used in a Single Statement
9.If more analytical functions are added, yet more sorting may result
10.Nulls could also be handled with a default value using the NVL function in the analytical function
11.See the difference between a person's salary and the average for his or her region