Window function can be a ranking function : PARTITION « Analytical Functions « SQL Server / T-SQL Tutorial

SQL Server / T-SQL Tutorial
1. Query
2. Insert Delete Update
3. Table
4. Table Join
5. Data Types
6. Set Operations
7. Constraints
8. Subquery
9. Aggregate Functions
10. Date Functions
11. Math Functions
12. String Functions
13. Data Convert Functions
14. Analytical Functions
15. Sequence Indentity
16. View
17. Index
18. Cursor
19. Database
20. Transact SQL
21. Procedure Function
22. Trigger
23. Transaction
24. XML
25. System Functions
26. System Settings
27. System Tables Views
28. User Role
29. CLR
Java
Java Tutorial
Java Source Code / Java Documentation
Java Open Source
Jar File Download
Java Articles
Java Products
Java by API
Photoshop Tutorials
Maya Tutorials
Flash Tutorials
3ds-Max Tutorials
Illustrator Tutorials
GIMP Tutorials
C# / C Sharp
C# / CSharp Tutorial
C# / CSharp Open Source
ASP.Net
ASP.NET Tutorial
JavaScript DHTML
JavaScript Tutorial
JavaScript Reference
HTML / CSS
HTML CSS Reference
C / ANSI-C
C Tutorial
C++
C++ Tutorial
Ruby
PHP
Python
Python Tutorial
Python Open Source
SQL Server / T-SQL
Oracle PL / SQL
Oracle PL/SQL Tutorial
PostgreSQL
SQL / MySQL
MySQL Tutorial
VB.Net
VB.Net Tutorial
Flash / Flex / ActionScript
VBA / Excel / Access / Word
XML
XML Tutorial
Microsoft Office PowerPoint 2007 Tutorial
Microsoft Office Excel 2007 Tutorial
Microsoft Office Word 2007 Tutorial
SQL Server / T-SQL Tutorial » Analytical Functions » PARTITION 
14. 6. 1. Window function can be a ranking function
5>
6create table department(
7>    dept_name     char(20)     not null,
8>    emp_cnt       int          not null,
9>    budget        float,
10>    date_month    datetime);
11> 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,
3>        SUM(emp_cntOVER(PARTITION BY dept_nameAS emp_cnt_sum,
4>        AVG(budgetOVER(PARTITION BY dept_nameAS budget_avg,
5>        COUNT(dept_nameOVER(PARTITION BY dept_nameAS dept_cnt
6FROM department;
7> GO
dept_name            budget                   emp_cnt_sum budget_avg               dept_cnt
-------------------- ------------------------ ----------- ------------------------ -----------
Accounting                              10000          27                    30000           4
Accounting                              40000          27                    30000           4
Accounting                              30000          27                    30000           4
Accounting                              40000          27                    30000           4
Marketing                               10000          24                    30000           4
Marketing                               40000          24                    30000           4
Marketing                               30000          24                    30000           4
Marketing                               40000          24                    30000           4
Research                                50000          20       61666.666666666664           3
Research                                70000          20       61666.666666666664           3
Research                                65000          20       61666.666666666664           3

(11 rows affected)
1>
2>
3> drop table department;
4> GO
1>
2>
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.
www.java2java.com | Contact Us
Copyright 2009 - 12 Demo Source and Support. All rights reserved.
All other trademarks are property of their respective owners.