Aggregate Functions MSSQL Tutorial

4>  create table department(
5>    dept_name     char(20)     not null,
6>    emp_cnt       int          not null,
7>    budget        float,
8>    date_month    datetime);
9> GO
1>
2> insert into department values('Research', 5, 50000, '01.01.2002');
3> insert into department values('Research', 10, 70000, '01.02.2002');
4> insert into department values('Research', 5, 65000, '01.07.2002');
5> insert into department values('Accounting', 5, 10000, '01.07.2002');
6> insert into department values('Accounting', 10, 40000, '01.02.2002');
7> insert into department values('Accounting', 6, 30000, '01.01.2002');
8> insert into department values('Accounting', 6, 40000, '01.02.2003');
9> insert into department values('Marketing', 6, 10000, '01.01.2003');
10> insert into department values('Marketing', 10, 40000, '01.02.2003');
11> insert into department values('Marketing', 3, 30000, '01.07.2003');
12> insert into department values('Marketing', 5, 40000, '01.01.2003');
13> GO
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
(1 rows affected)
1>
2>
3> SELECT dept_name, emp_cnt, SUM(budget) sum_of_budgets
4> FROM department
5> GROUP BY emp_cnt, dept_name
6> WITH ROLLUP;
7> GO
dept_name            emp_cnt     sum_of_budgets
-------------------- ----------- ------------------------
Marketing                      3                    30000
NULL                           3                    30000
Accounting                     5                    10000
Marketing                      5                    40000
Research                       5                   115000
NULL                           5                   165000
Accounting                     6                    70000
Marketing                      6                    10000
NULL                           6                    80000
Accounting                    10                    40000
Marketing                     10                    40000
Research                      10                    70000
NULL                          10                   150000
NULL                        NULL                   425000
(14 rows affected)
1>
2>
3> drop table department;
4> GO
1>
2>
3>