Window function can be an aggregate function. : PARTITION « Analytical Functions « SQL Server / T-SQL Tutorial

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SQL Server / T-SQL Tutorial » Analytical Functions » PARTITION 
14. 6. 2. Window function can be an aggregate function.
8>
9>
10create table department(
11>    dept_name     char(20)     not null,
12>    emp_cnt       int          not null,
13>    budget        float,
14>    date_month    datetime);
15> GO
1>
2insert into department values('Research', 550000'01.01.2002');
3insert into department values('Research', 1070000'01.02.2002');
4insert into department values('Research', 565000'01.07.2002');
5insert into department values('Accounting', 510000'01.07.2002');
6insert into department values('Accounting', 1040000'01.02.2002');
7insert into department values('Accounting', 630000'01.01.2002');
8insert into department values('Accounting', 640000'01.02.2003');
9insert into department values('Marketing', 610000'01.01.2003');
10insert into department values('Marketing', 1040000'01.02.2003');
11insert into department values('Marketing', 330000'01.07.2003');
12insert into department values('Marketing', 540000'01.01.2003');
13> GO

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)

(rows affected)
1>
2SELECT dept_name, budget, SUM(budgetOVER(PARTITION BY dept_nameas
3>       budget_sum,
4>       budget/SUM(budgetOVER(PARTITION BY dept_name)100 AS percentage
5FROM department;
6> GO
dept_name            budget                   budget_sum               percentage
-------------------- ------------------------ ------------------------ ------------------------
Accounting                              10000                   120000       8.3333333333333321
Accounting                              40000                   120000       33.333333333333329
Accounting                              30000                   120000                       25
Accounting                              40000                   120000       33.333333333333329
Marketing                               10000                   120000       8.3333333333333321
Marketing                               40000                   120000       33.333333333333329
Marketing                               30000                   120000                       25
Marketing                               40000                   120000       33.333333333333329
Research                                50000                   185000       27.027027027027028
Research                                70000                   185000       37.837837837837839
Research                                65000                   185000       35.135135135135137

(11 rows affected)
1>
2>
3> drop table department;
4> GO
1>
14. 6. PARTITION
14. 6. 1. Window function can be a ranking function
14. 6. 2. Window function can be an aggregate function.
14. 6. 3. Using several columns from a table to build different partitioning schemas in a query.
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