SQL Server/T-SQL/Analytical Functions/Cube

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Basic CUBE Query

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3> 4> CREATE TABLE employee( 5> id INTEGER NOT NULL PRIMARY KEY, 6> first_name VARCHAR(10), 7> last_name VARCHAR(10), 8> salary DECIMAL(10,2), 9> start_Date DATETIME, 10> region VARCHAR(10), 11> city VARCHAR(20), 12> managerid INTEGER 13> ); 14> GO 1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver",3); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown",4); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris",5); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London",6); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton",7); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary",8); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York",9); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina",9); 2> GO (1 rows affected) 1> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto",10); 2> GO (1 rows affected) 1> 2> select * from employee; 3> GO id first_name last_name salary start_Date region city managerid


---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
         1 Jason      Martin          5890.00 2005-03-22 00:00:00.000 North      Vancouver                      3
         2 Alison     Mathews         4789.00 2003-07-21 00:00:00.000 South      Utown                          4
         3 James      Smith           6678.00 2001-12-01 00:00:00.000 North      Paris                          5
         4 Celia      Rice            5567.00 2006-03-03 00:00:00.000 South      London                         6
         5 Robert     Black           4467.00 2004-07-02 00:00:00.000 East       Newton                         7
         6 Linda      Green           6456.00 2002-05-19 00:00:00.000 East       Calgary                        8
         7 David      Larry           5345.00 2008-03-18 00:00:00.000 West       New York                       9
         8 James      Cat             4234.00 2007-07-17 00:00:00.000 West       Regina                         9
         9 Joan       Act             6123.00 2001-04-16 00:00:00.000 North      Toronto                       10

(9 rows affected) 1> 2> 3> SELECT 4> Region, 5> COUNT(*) AS Count 6> FROM 7> Employee 8> GROUP BY 9> Region 10> 11> 12> SELECT 13> YEAR(Start_Date) AS Order_Year, 14> COUNT(*) AS Order_Count 15> FROM 16> Employee 17> GROUP BY 18> YEAR(Start_Date) 19> WITH CUBE 20> GO Region Count


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East 2 North 3 South 2 West 2 (4 rows affected) Order_Year Order_Count


-----------
      2001           2
      2002           1
      2003           1
      2004           1
      2005           1
      2006           1
      2007           1
      2008           1
      NULL           9

(9 rows affected) 1> 2> 3> drop table employee; 4> GO

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WITH CUBE: performs this rollup for every combination of grouped column value

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1> create table employee( 2> ID int, 3> name nvarchar (10), 4> salary int, 5> start_date datetime, 6> city nvarchar (10), 7> region char (1)) 8> GO 1> 2> insert into employee (ID, name, salary, start_date, city, region) 3> values (1, "Jason", 40420, "02/01/94", "New York", "W") 4> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (2, "Robert",14420, "01/02/95", "Vancouver","N") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (3, "Celia", 24020, "12/03/96", "Toronto", "W") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (4, "Linda", 40620, "11/04/97", "New York", "N") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (5, "David", 80026, "10/05/98", "Vancouver","W") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (6, "James", 70060, "09/06/99", "Toronto", "N") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (7, "Alison",90620, "08/07/00", "New York", "W") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (8, "Chris", 26020, "07/08/01", "Vancouver","N") 3> GO (1 rows affected) 1> insert into employee (ID, name, salary, start_date, city, region) 2> values (9, "Mary", 60020, "06/09/02", "Toronto", "W") 3> GO (1 rows affected) 1> 2> select * from employee 3> GO ID name salary start_date city region


---------- ----------- ----------------------- ---------- ------
         1 Jason            40420 1994-02-01 00:00:00.000 New York   W
         2 Robert           14420 1995-01-02 00:00:00.000 Vancouver  N
         3 Celia            24020 1996-12-03 00:00:00.000 Toronto    W
         4 Linda            40620 1997-11-04 00:00:00.000 New York   N
         5 David            80026 1998-10-05 00:00:00.000 Vancouver  W
         6 James            70060 1999-09-06 00:00:00.000 Toronto    N
         7 Alison           90620 2000-08-07 00:00:00.000 New York   W
         8 Chris            26020 2001-07-08 00:00:00.000 Vancouver  N
         9 Mary             60020 2002-06-09 00:00:00.000 Toronto    W

(9 rows affected) 1> 2> -- WITH CUBE: Rather than just rolling up the aggregate values for the first column in the GROUP BY list, CUBE performs this rollup for every combination of grouped column value s. 3> 4> 5> SELECT City, Region, SUM(Salary) 6> FROM Employee 7> GROUP BY City, Region 8> WITH CUBE 9> GO City Region


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New York N 40620 New York W 131040 New York NULL 171660 Toronto N 70060 Toronto W 84040 Toronto NULL 154100 Vancouver N 40440 Vancouver W 80026 Vancouver NULL 120466 NULL NULL 446226 NULL N 151120 NULL W 295106 (12 rows affected) 1> 2> 3> drop table employee 4> GO 1>

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