Using several columns from a table to build different partitioning schemas in a query. : PARTITION « Analytical Functions « SQL Server / T-SQL Tutorial

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SQL Server / T-SQL Tutorial » Analytical Functions » PARTITION 
14. 6. 3. Using several columns from a table to build different partitioning schemas in a query.
6>
7create table department(
8>    dept_name     char(20)     not null,
9>    emp_cnt       int          not null,
10>    budget        float,
11>    date_month    datetime);
12> 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, CAST(budget AS INTAS budget,
3>        SUM(emp_cntOVER(PARTITION BY budgetAS emp_cnt_sum,
4>        AVG(budgetOVER(PARTITION BY dept_nameAS budget_avg
5FROM department;
6> GO
dept_name            budget      emp_cnt_sum budget_avg
-------------------- ----------- ----------- ------------------------
Accounting                 10000          11                    30000
Accounting                 30000           9                    30000
Accounting                 40000          31                    30000
Accounting                 40000          31                    30000
Marketing                  40000          31                    30000
Marketing                  30000           9                    30000
Marketing                  40000          31                    30000
Marketing                  10000          11                    30000
Research                   50000           5       61666.666666666664
Research                   65000           5       61666.666666666664
Research                   70000          10       61666.666666666664

(11 rows affected)
1> drop table department;
2> 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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