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Categories / Oracle PLSQL / Table Joins
 

Using AVG in an analytical function

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> create table job(   2    empno              Number(3)  NOT NULL, -- Employee ID   3    jobtitle           VARCHAR2(10 BYTE)    -- Employee job title   4  )   5  / 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,       48000,       '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'), 53000,       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,      36000,        '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'), 43000,       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,       85000,       '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> select * from employee;      EMPNO ENAME      HIREDATE  ORIG_SALARY CURR_SALARY R ---------- ---------- --------- ----------- ----------- -        122 Alison     21-MAR-96       45000       48000 E        123 James      12-DEC-78       23000       32000 W        104 Celia      24-OCT-82       53000       58000 E        105 Robert     15-JAN-84       31000       36000 W        116 Linda      30-JUL-87       43000       53000 E        117 David      31-DEC-90       78000       85000 W        108 Jode       17-SEP-96       21000       29000 E 7 rows selected. SQL> SQL> SQL> -- Using AVG in an analytical function: OVER() SQL> SQL> SQL> SELECT empno, ename, orig_salary,   2    AVG(orig_salary) OVER() "Avg. salary"   3  FROM employee   4  ORDER BY ename;      EMPNO ENAME      ORIG_SALARY Avg. salary ---------- ---------- ----------- -----------        122 Alison           45000       42000        104 Celia            53000       42000        117 David            78000       42000        123 James            23000       42000        108 Jode             21000       42000        116 Linda            43000       42000        105 Robert           31000       42000 7 rows selected. SQL> SQL> SQL> SQL> SQL> SQL> -- clean the table SQL> drop table Employee   2  / Table dropped. SQL> SQL>