analytic order-by clause : Aggregrate Analytical « Analytical Functions « Oracle PL / SQL

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Oracle PL / SQL » Analytical Functions » Aggregrate Analytical 
analytic order-by clause
 
SQL>
SQL>
SQL> create table employee(
  2           emp_no                 integer         primary key
  3          ,lastname               varchar2(20)    not null
  4          ,firstname              varchar2(15)    not null
  5          ,midinit                varchar2(1)
  6          ,street                 varchar2(30)
  7          ,city                   varchar2(20)
  8          ,state                  varchar2(2)
  9          ,zip                    varchar2(5)
 10          ,zip_4                  varchar2(4)
 11          ,area_code              varchar2(3)
 12          ,phone                  varchar2(8)
 13          ,salary                 number(3)
 14          ,birthdate              date
 15          ,hiredate               date
 16          ,title                  varchar2(20)
 17          ,dept_no                integer
 18          ,mgr                    integer
 19          ,region                 number
 20          ,division               number
 21          ,total_sales            number
 22  );

Table created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (1,'Anderson','Nancy','N','33 Ave','London','NY','11111','1111','212','234-1111',3.75,'21-mar-1927','1-feb-1947','Sales Manager',2,null,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (2,'Last','First','F','12 Ave','Paris','CA','22222','2222','221','867-2222',7.75,'14-feb-1976','15-mar-1985','Sales Clerk',2,1,100,10,10000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (3,'Wash','Georgia','G','Street14','Barton','NJ','33333','3333','214','340-3333',11.50,'2-jul-1977','21-apr-2004','Designer',1,2,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (4,'Bush','Dave','D','56 Street','Island','RI','44444','4444','215','777-4444',21.65,'15-may-1945','2-aug-1975','Designer',1,2,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (5,'Will','Robin','W','56 Street','Island','MA','55555','5555','216','777-5555',24.65,'10-dec-1980','2-aug-2007','Designer',1,5,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (6,'Pete','Mona','M','13 Ave','York','MO','66666','6666','217','111-6666',9,'14-feb-1966','15-mar-1985','Sales Clerk',2,5,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (7,'Roke','John','J','67 Ave','New York','BC','77777','7777','218','122-7777',10.00,'14-jun-1955','15-mar-1975','Accountant',3,2,100,10,40000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2               values (8,'Horry','Tedi','T','1236 Lane','Newton','NY','88888','8888','219','222-8888',13.00,'10-jun-1955','15-aug-1985','Sales Representative',3,2,100,10,50000);

row created.

SQL> insert into employee(emp_no, lastname, firstname, midinit, street, city, state, zip,zip_4, area_code, phone, salary, birthdate, hiredate,title, dept_no, mgr, region, division, total_sales)
  2                values (9,'Bar','Candi','C','400 East Street','Yorken','NY','99999','9999','220','321-9999',12.00,'10-oct-1933','15-jan-1969','Sales Representative',3,5,100,10,35000);

row created.

SQL>
SQL> select lastname , dept_no, salary,
  2      sum(salaryover (partition by dept_no
  3                        order by lastnamedept_total
  4  from employee
  5  order by dept_no, lastname;

LASTNAME                DEPT_NO     SALARY DEPT_TOTAL
-------------------- ---------- ---------- ----------
Bush                          1         22         22
Wash                          1         12         34
Will                          1         25         59
Anderson                      2          4          4
Last                          2          8         12
Pete                          2          9         21
Bar                           3         12         12
Horry                         3         13         25
Roke                          3         10         35

rows selected.

SQL>
SQL> drop table employee;

Table dropped.

SQL>
SQL> --

 
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1. count(*) over partition, order by, range unbounded preceding
2. count(*) over partition by, order by, range unbounded preceding
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. avg over and avg over order by
7. Sum over order by
8. Sum over partition by and order by
9. avg over order by range
10. average 5 before, after
11. Row-ordering is done first and then the moving average
12. Avg over ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
13. SUM(y) OVER(ORDER BY x ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING)
14. Use the COUNT aggregate analytical function to show how many rows are included in each window
15. To see how the moving average window can expand
16. Uses dates and logical offset of seven days preceding
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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