Combine analytical function with count(*) : Analytical Functions Basics « Analytical Functions « Oracle PL / SQL

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Oracle PL / SQL » Analytical Functions » Analytical Functions Basics 
Combine analytical function with count(*)



SQL>
SQL> -- create demo table
SQL> create table Employee(
  2    ID                 VARCHAR2(BYTE)         NOT NULL,
  3    First_Name         VARCHAR2(10 BYTE),
  4    Last_Name          VARCHAR2(10 BYTE),
  5    Start_Date         DATE,
  6    End_Date           DATE,
  7    Salary             Number(8,2),
  8    City               VARCHAR2(10 BYTE),
  9    Description        VARCHAR2(15 BYTE)
 10  )
 11  /

Table created.

SQL>
SQL> -- prepare data
SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary,  City,       Description)
  2               values ('01','Jason',    'Martin',  to_date('19960725','YYYYMMDD'), to_date('20060725','YYYYMMDD'), 1234.56'Toronto',  'Programmer')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary,  City,       Description)
  2                values('02','Alison',   'Mathews', to_date('19760321','YYYYMMDD'), to_date('19860221','YYYYMMDD'), 6661.78'Vancouver','Tester')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary,  City,       Description)
  2                values('03','James',    'Smith',   to_date('19781212','YYYYMMDD'), to_date('19900315','YYYYMMDD'), 6544.78'Vancouver','Tester')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary,  City,       Description)
  2                values('04','Celia',    'Rice',    to_date('19821024','YYYYMMDD'), to_date('19990421','YYYYMMDD'), 2344.78'Vancouver','Manager')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary,  City,       Description)
  2                values('05','Robert',   'Black',   to_date('19840115','YYYYMMDD'), to_date('19980808','YYYYMMDD'), 2334.78'Vancouver','Tester')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
  2                values('06','Linda',    'Green',   to_date('19870730','YYYYMMDD'), to_date('19960104','YYYYMMDD'), 4322.78,'New York',  'Tester')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
  2                values('07','David',    'Larry',   to_date('19901231','YYYYMMDD'), to_date('19980212','YYYYMMDD'), 7897.78,'New York',  'Manager')
  3  /

row created.

SQL> insert into Employee(ID,  First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
  2                values('08','James',    'Cat',     to_date('19960917','YYYYMMDD'), to_date('20020415','YYYYMMDD'), 1232.78,'Vancouver', 'Tester')
  3  /

row created.

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

ID   FIRST_NAME LAST_NAME  START_DAT END_DATE                    SALARY CITY       DESCRIPTION
---- ---------- ---------- --------- --------- ------------------------ ---------- ---------------
01   Jason      Martin     25-JUL-96 25-JUL-06                  1234.56 Toronto    Programmer
02   Alison     Mathews    21-MAR-76 21-FEB-86                  6661.78 Vancouver  Tester
03   James      Smith      12-DEC-78 15-MAR-90                  6544.78 Vancouver  Tester
04   Celia      Rice       24-OCT-82 21-APR-99                  2344.78 Vancouver  Manager
05   Robert     Black      15-JAN-84 08-AUG-98                  2334.78 Vancouver  Tester
06   Linda      Green      30-JUL-87 04-JAN-96                  4322.78 New York   Tester
07   David      Larry      31-DEC-90 12-FEB-98                  7897.78 New York   Manager
08   James      Cat        17-SEP-96 15-APR-02                  1232.78 Vancouver  Tester

rows selected.

SQL>
SQL>
SQL>
SQL> select id, avg(salary), sum(salary), max(salary), count(*from Employee group by id;

ID                AVG(SALARY)              SUM(SALARY)              MAX(SALARY)                 COUNT(*)
---- ------------------------ ------------------------ ------------------------ ------------------------
04                    2344.78                  2344.78                  2344.78                     1.00
08                    1232.78                  1232.78                  1232.78                     1.00
07                    7897.78                  7897.78                  7897.78                     1.00
01                    1234.56                  1234.56                  1234.56                     1.00
02                    6661.78                  6661.78                  6661.78                     1.00
03                    6544.78                  6544.78                  6544.78                     1.00
05                    2334.78                  2334.78                  2334.78                     1.00
06                    4322.78                  4322.78                  4322.78                     1.00

rows selected.

SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
  2  /

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. Adding an Analytical Function to a Query that Contains a Join (and Other WHERE Conditions)
4. Adding an Analytical Function to the GROUP BY with ORDER BY Version
5. Changing the Final Ordering after Having Added an Analytical Function
6. Use an analytical function in a WHERE clause
7. More Than One Analytical Function May Be Used in a Single Statement
8. If more analytical functions are added, yet more sorting may result
9. Nulls could also be handled with a default value using the NVL function in the analytical function
10. Column alias for the analytical function is used in the final ORDER BY
11. See the difference between a person's salary and the average for his or her region
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