Using the CUBE Operator : CUBE « Analytical Functions « SQL Server / T-SQL Tutorial

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SQL Server / T-SQL Tutorial » Analytical Functions » CUBE 
14. 2. 3. Using the CUBE Operator
CUBE with GROUP BY calculates aggregate function on all records and appends this to the last row


10CREATE TABLE Classification (
11>      Classif_ID         integer  NOT NULL PRIMARY KEY,
12>      Classification    varchar(25))
13> GO
1>
2INSERT into Classification VALUES1,"Pop")
3INSERT into Classification VALUES2,"Country")
4INSERT into Classification VALUES3,"Alternative")
5INSERT into Classification VALUES4,"Metal")
6> GO

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1>
2>
3CREATE TABLE CD (
4>      CD_ID              integer  NOT NULL PRIMARY KEY,
5>      CD_Title           varchar(40),
6>      Composer_ID        integer  NOT NULL,
7>      Classif_ID         integer  NOT NULL,
8>      SalesPrice        money,
9>      AverageCost       money)
10> GO
1INSERT into CD VALUES(2000,"John",100,1,16.99,6.99)
2INSERT into CD VALUES(2001,"Chicago 16",107,1,14.99,5.99)
3INSERT into CD VALUES(2002,"Chicago 17",107,1,14.99,5.99)
4INSERT into CD VALUES(2003,"Chicago 18",107,1,14.99,5.99)
5INSERT into CD VALUES(2004,"Greatest Hits",107,1,16.99,7.99)
6INSERT into CD VALUES(2005,"Midnight",101,3,14.99,5.99)
7INSERT into CD VALUES(2006,"Mode",115,3,14.99,5.99)
8INSERT into CD VALUES(2007,"Ultra",115,3,15.99,5.99)
9INSERT into CD VALUES(2008,"Mindcrime",102,4,14.99,5.99)
10INSERT into CD VALUES(2009,"Empire",102,4,14.99,5.99)
11INSERT into CD VALUES(2010,"Land",102,4,12.99,4.99)
12INSERT into CD VALUES(2011,"Night",103,4,11.99,3.99)
13INSERT into CD VALUES(2012,"Pyromania",103,4,14.99,5.99)
14INSERT into CD VALUES(2013,"Hysteria",103,4,14.99,5.99)
15INSERT into CD VALUES(2014,"Hits",103,4,13.99,4.99)
16INSERT into CD VALUES(2015,"Hits 2",104,2,15.99,6.99)
17INSERT into CD VALUES(2016,"Greatest",105,2,14.99,5.99)
18INSERT into CD VALUES(2017,"Hits 3",106,1,13.99,5.99)
19INSERT into CD VALUES(2018,"Deep",108,1,12.99,2.99)
20INSERT into CD VALUES(2019,"Turning",109,1,14.99,5.99)
21INSERT into CD VALUES(2020,"TheHits",109,1,16.99,7.99)
22INSERT into CD VALUES(2021,"Cars",110,1,9.99,3.99)
23INSERT into CD VALUES(2022,"Anthology",110,1,25.99,11.99)
24INSERT into CD VALUES(2023,"City",110,1,14.99,5.99)
25INSERT into CD VALUES(2024,"Rick",111,1,11.99,2.99)
26INSERT into CD VALUES(2025,"Live",112,1,19.99,8.99)
27INSERT into CD VALUES(2026,"Pat",113,1,16.99,6.99)
28INSERT into CD VALUES(2027,"Big",114,1,14.99,5.99)
29INSERT into CD VALUES(2028,"Hurting",114,1,11.99,3.99)
30INSERT into CD VALUES(2029,"Vol 1",116,1,9.99,2.99)
31INSERT into CD VALUES(2030,"Vol 2",116,1,9.99,2.99)
32> GO

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1>
2>
3>
4SELECT Classification.Classification,
5>        Count(CD.CD_ID"Total Offerings"
6FROM CD,Classification
7WHERE CD.Classif_ID = Classification.Classif_ID
8> GROUP BY Classification.Classification with CUBE
9> GO
Classification            Total Offerings
------------------------- ---------------
Alternative                             3
Country                                 2
Metal                                   7
Pop                                    19
NULL                                   31

(rows affected)
1>
2> drop table Classification;
3> drop table CD;
4> GO
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
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