Uses dates and logical offset of seven days preceding : Aggregrate Analytical « Analytical Functions « Oracle PL / SQL

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Oracle PL / SQL » Analytical Functions » Aggregrate Analytical 
Uses dates and logical offset of seven days preceding



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> -- Uses dates and logical offset of seven days preceding:
SQL>
SQL> SELECT start_date "Date", city, salary,
  2    SUM(salaryOVER(PARTITION BY city
  3      ORDER BY start_date
  4      RANGE BETWEEN INTERVAL '7' day PRECEDING
  5       AND CURRENT ROW"Running total"
  6  FROM employee
  7  ORDER BY city, start_date;

Date      CITY           SALARY Running total
--------- ---------- ---------- -------------
30-JUL-87 New York      4322.78       4322.78
31-DEC-90 New York      7897.78       7897.78
25-JUL-96 Toronto       1234.56       1234.56
21-MAR-76 Vancouver     6661.78       6661.78
12-DEC-78 Vancouver     6544.78       6544.78
24-OCT-82 Vancouver     2344.78       2344.78
15-JAN-84 Vancouver     2334.78       2334.78
17-SEP-96 Vancouver     1232.78       1232.78

rows selected.

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

Table dropped.

SQL>
SQL>
           
       
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3. Employee salary report with avg salary for the previous 12 months
4. avg over range between
5. Is our average total_order_price increasing or decreasing?
6. analytic order-by clause
7. avg over and avg over order by
8. Sum over order by
9. Sum over partition by and order by
10. avg over order by range
11. average 5 before, after
12. Row-ordering is done first and then the moving average
13. Avg over ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
14. SUM(y) OVER(ORDER BY x ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
15. Use the COUNT aggregate analytical function to show how many rows are included in each window
16. To see how the moving average window can expand
17. A seven-day MAX and MIN on Tuesdays
18. A seven-day MAX and MIN on Tuesdays: using TO_CHAR function
19. Displaying a Running Total Using SUM as an Analytical Function
20. Reporting on a Sum
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