Summarizing Data with CUBE : CUBE « Analytical Functions « SQL Server / T-SQL Tutorial






WITH CUBE summarizes total values based on the columns in the GROUP BY clause.
Extra NULL values were included in the result set for those rows that contained the WITH CUBE aggregate totals.

15> CREATE TABLE employee(
16>    id          INTEGER NOT NULL PRIMARY KEY,
17>    first_name  VARCHAR(10),
18>    last_name   VARCHAR(10),
19>    salary      DECIMAL(10,2),
20>    start_Date  DATETIME,
21>    region      VARCHAR(10),
22>    city        VARCHAR(20),
23>    managerid   INTEGER
24> );
25> 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 i.region,SUM(i.salary) Total
4> FROM employee i
5> GROUP BY i.region
6> WITH CUBE;
7> GO
region     Total
---------- ----------------------------------------
East                                       10923.00
North                                      18691.00
South                                      10356.00
West                                        9579.00
NULL                                       49549.00

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








14.2.CUBE
14.2.1.Summarizing Data with CUBE
14.2.2.Using GROUPING with CUBE
14.2.3.Using the CUBE Operator
14.2.4.A summary query that includes a final summary row with 'WITH CUBE'
14.2.5.A summary query that includes a summary row for each set of groups
14.2.6.CUBE performs this rollup for every combination of grouped column values.
14.2.7.Creating the Vbase_cube View to Hide the CUBE Query Complexity