SQL Server/T-SQL Tutorial/Analytical Functions/ROLLUP
Содержание
- 1 A summary query that includes a final summary row with "WITH ROLLUP"
- 2 A summary query that includes a summary row for each grouping level
- 3 Group hierarchy using the ROLLUP operator is determined by the order in which the grouping columns are specified.
- 4 ROLLUP Returns Super Aggregation Only in One Direction
- 5 Summarizing Data with ROLLUP
- 6 Using ROLLUP to Get the Order Count by Year and Month
- 7 Using the ROLLUP Operator
- 8 WITH ROLLUP for calculating subtotals and totals on the first column in the GROUP BY column list
A summary query that includes a final summary row with "WITH ROLLUP"
<source lang="sql">
3> 4> 5> 6> create table Billings ( 7> BankerID INTEGER, 8> BillingNumber INTEGER, 9> BillingDate datetime, 10> BillingTotal INTEGER, 11> TermsID INTEGER, 12> BillingDueDate datetime , 13> PaymentTotal INTEGER, 14> CreditTotal INTEGER 15> 16> ); 17> GO 1> 2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321); 3> GO (1 rows affected) 1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321); 2> GO (1 rows affected) 1> 2> 3> 4> create table Bankers( 5> BankerID Integer, 6> BankerName VARCHAR(20), 7> BankerContactLName VARCHAR(20), 8> BankerContactFName VARCHAR(20), 9> BankerCity VARCHAR(20), 10> BankerState VARCHAR(20), 11> BankerZipCode VARCHAR(20), 12> BankerPhone VARCHAR(20) 13> ) 14> GO 1> 2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111"); 3> GO (1 rows affected) 1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222"); 2> GO (1 rows affected) 1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333"); 2> GO (1 rows affected) 1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444"); 2> GO (1 rows affected) 1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555"); 2> GO (1 rows affected) 1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666"); 2> GO (1 rows affected) 1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777"); 2> GO (1 rows affected) 1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888"); 2> GO (1 rows affected) 1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999"); 2> GO (1 rows affected) 1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000"); 2> GO (1 rows affected) 1> 2> 3> SELECT BankerID, COUNT(*) AS BillingCount, 4> SUM(BillingTotal) AS BillingTotal 5> FROM Billings 6> GROUP BY BankerID WITH ROLLUP 7> GO BankerID BillingCount BillingTotal
------------ ------------
0 1 165
1 1 165
2 1 165
3 1 165
4 1 165
5 1 165
6 1 165
7 1 165
8 1 165
9 1 165
NULL 10 1650
(11 rows affected) 1> 2> 3> drop table Billings; 4> drop table Bankers; 5> GO</source>
A summary query that includes a summary row for each grouping level
<source lang="sql">
3> 4> 5> 6> 7> create table Billings ( 8> BankerID INTEGER, 9> BillingNumber INTEGER, 10> BillingDate datetime, 11> BillingTotal INTEGER, 12> TermsID INTEGER, 13> BillingDueDate datetime , 14> PaymentTotal INTEGER, 15> CreditTotal INTEGER 16> 17> ); 18> GO 1> 2> INSERT INTO Billings VALUES (1, 1, "2005-01-22", 165, 1,"2005-04-22",123,321); 3> GO (1 rows affected) 1> INSERT INTO Billings VALUES (2, 2, "2001-02-21", 165, 1,"2002-02-22",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (3, 3, "2003-05-02", 165, 1,"2005-04-12",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (4, 4, "1999-03-12", 165, 1,"2005-04-18",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (5, 5, "2000-04-23", 165, 1,"2005-04-17",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (6, 6, "2001-06-14", 165, 1,"2005-04-18",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (7, 7, "2002-07-15", 165, 1,"2005-04-19",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (8, 8, "2003-08-16", 165, 1,"2005-04-20",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (9, 9, "2004-09-17", 165, 1,"2005-04-21",123,321); 2> GO (1 rows affected) 1> INSERT INTO Billings VALUES (0, 0, "2005-10-18", 165, 1,"2005-04-22",123,321); 2> GO (1 rows affected) 1> 2> 3> 4> create table Bankers( 5> BankerID Integer, 6> BankerName VARCHAR(20), 7> BankerContactLName VARCHAR(20), 8> BankerContactFName VARCHAR(20), 9> BankerCity VARCHAR(20), 10> BankerState VARCHAR(20), 11> BankerZipCode VARCHAR(20), 12> BankerPhone VARCHAR(20) 13> ) 14> GO 1> 2> insert into Bankers values (1, "ABC Inc.","Joe","Smith","Vancouver","BC","11111","111-111-1111"); 3> GO (1 rows affected) 1> insert into Bankers values (2, "DEF Inc.","Red","Rice", "New York", "DE","22222","222-222-2222"); 2> GO (1 rows affected) 1> insert into Bankers values (3, "HJI Inc.","Kit","Cat", "Paris", "CA","33333","333-333-3333"); 2> GO (1 rows affected) 1> insert into Bankers values (4, "QWE Inc.","Git","Black","Regina", "ER","44444","444-444-4444"); 2> GO (1 rows affected) 1> insert into Bankers values (5, "RTY Inc.","Wil","Lee", "Toronto", "YU","55555","555-555-5555"); 2> GO (1 rows affected) 1> insert into Bankers values (6, "YUI Inc.","Ted","Larry","Calgary", "TY","66666","666-666-6666"); 2> GO (1 rows affected) 1> insert into Bankers values (7, "OIP Inc.","Yam","Act", "San Franc","FG","77777","777-777-7777"); 2> GO (1 rows affected) 1> insert into Bankers values (8, "SAD Inc.","Hit","Eat", "Orland", "PO","88888","888-888-8888"); 2> GO (1 rows affected) 1> insert into Bankers values (9, "DFG Inc.","Sad","Lee", "Wisler", "PL","99999","999-999-9999"); 2> GO (1 rows affected) 1> insert into Bankers values (0, "GHJ Inc.","Bit","Lee", "Ticker", "MN","00000","000-000-0000"); 2> GO (1 rows affected) 1> 2> 3> SELECT BankerState, BankerCity, COUNT(*) AS QtyBankers 4> FROM Bankers 5> WHERE BankerState IN ("IA", "NJ") 6> GROUP BY BankerState, BankerCity WITH ROLLUP 7> ORDER BY BankerState DESC, BankerCity DESC 8> GO BankerState BankerCity QtyBankers
-------------------- -----------
(0 rows affected) 1> 2> drop table Billings; 3> drop table Bankers; 4> GO</source>
Group hierarchy using the ROLLUP operator is determined by the order in which the grouping columns are specified.
<source lang="sql">
5> 6> 7> create 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> 2> insert into department values("Research", 5, 50000, "01.01.2002"); 3> insert into department values("Research", 10, 70000, "01.02.2002"); 4> insert into department values("Research", 5, 65000, "01.07.2002"); 5> insert into department values("Accounting", 5, 10000, "01.07.2002"); 6> insert into department values("Accounting", 10, 40000, "01.02.2002"); 7> insert into department values("Accounting", 6, 30000, "01.01.2002"); 8> insert into department values("Accounting", 6, 40000, "01.02.2003"); 9> insert into department values("Marketing", 6, 10000, "01.01.2003"); 10> insert into department values("Marketing", 10, 40000, "01.02.2003"); 11> insert into department values("Marketing", 3, 30000, "01.07.2003"); 12> insert into department values("Marketing", 5, 40000, "01.01.2003"); 13> GO (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) 1> 2> SELECT dept_name, emp_cnt, SUM(budget) sum_of_budgets 3> FROM department 4> GROUP BY dept_name, emp_cnt 5> WITH ROLLUP; 6> GO dept_name emp_cnt sum_of_budgets
----------- ------------------------
Accounting 5 10000 Accounting 6 70000 Accounting 10 40000 Accounting NULL 120000 Marketing 3 30000 Marketing 5 40000 Marketing 6 10000 Marketing 10 40000 Marketing NULL 120000 Research 5 115000 Research 10 70000 Research NULL 185000 NULL NULL 425000 (13 rows affected) 1> 2> drop table department; 3> GO 1> 2></source>
ROLLUP Returns Super Aggregation Only in One Direction
<source lang="sql">
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> 4> SELECT 5> ID, 6> ManagerID, 7> YEAR(Start_Date) AS Order_Year, 8> COUNT(*) AS Order_Count 9> FROM 10> Employee 11> GROUP BY 12> ID, 13> ManagerID, 14> YEAR(Start_Date) 15> WITH ROLLUP 16> 17> 18> 19> drop table employee; 20> GO ID ManagerID Order_Year Order_Count
----------- ----------- -----------
1 3 2005 1
1 3 NULL 1
1 NULL NULL 1
2 4 2003 1
2 4 NULL 1
2 NULL NULL 1
3 5 2001 1
3 5 NULL 1
3 NULL NULL 1
4 6 2006 1
4 6 NULL 1
4 NULL NULL 1
5 7 2004 1
5 7 NULL 1
5 NULL NULL 1
6 8 2002 1
6 8 NULL 1
6 NULL NULL 1
7 9 2008 1
7 9 NULL 1
7 NULL NULL 1
8 9 2007 1
8 9 NULL 1
8 NULL NULL 1
9 10 2001 1
9 10 NULL 1
9 NULL NULL 1
NULL NULL NULL 9
(28 rows affected)</source>
Summarizing Data with ROLLUP
<source lang="sql">
Use WITH ROLLUP with GROUP BY to add hierarchical data summaries based on the ordering of columns in the GROUP BY clause. 6> 7> CREATE TABLE employee( 8> id INTEGER NOT NULL PRIMARY KEY, 9> first_name VARCHAR(10), 10> last_name VARCHAR(10), 11> salary DECIMAL(10,2), 12> start_Date DATETIME, 13> region VARCHAR(10), 14> city VARCHAR(20) 15> ); 16> GO 1> INSERT INTO employee VALUES (1, "Jason" , "Martin", 5890,"2005-03-22","North","Vancouver"); 2> INSERT INTO employee VALUES (2, "Alison", "Mathews",4789,"2003-07-21","South","Utown"); 3> INSERT INTO employee VALUES (3, "James" , "Smith", 6678,"2001-12-01","North","Paris"); 4> INSERT INTO employee VALUES (4, "Celia" , "Rice", 5567,"2006-03-03","South","London"); 5> INSERT INTO employee VALUES (5, "Robert", "Black", 4467,"2004-07-02","East","Newton"); 6> INSERT INTO employee VALUES (6, "Linda" , "Green" , 6456,"2002-05-19","East","Calgary"); 7> INSERT INTO employee VALUES (7, "David" , "Larry", 5345,"2008-03-18","West","New York"); 8> INSERT INTO employee VALUES (8, "James" , "Cat", 4234,"2007-07-17","West","Regina"); 9> INSERT INTO employee VALUES (9, "Joan" , "Act", 6123,"2001-04-16","North","Toronto"); 10> GO (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) 1> select * from employee; 2> GO id first_name last_name salary start_Date region city
---------- ---------- ------------ ----------------------- ---------- --------------------
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto
(9 rows affected) 1> 2> CREATE TABLE title( 3> id INTEGER, 4> job_title VARCHAR(20) 5> ); 6> GO 1> INSERT INTO title VALUES (1, "developer"); 2> INSERT INTO title VALUES (1, "manager"); 3> INSERT INTO title VALUES (2, "tester"); 4> INSERT INTO title VALUES (2, "programmer"); 5> INSERT INTO title VALUES (3, "boss"); 6> INSERT INTO title VALUES (4, "sales"); 7> INSERT INTO title VALUES (5, "market"); 8> INSERT INTO title VALUES (6, "coder"); 9> INSERT INTO title VALUES (7, "tester"); 10> INSERT INTO title VALUES (8, "developer"); 11> INSERT INTO title VALUES (9, "manager"); 12> GO (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) 1> 2> 3> SELECT i.region, 4> SUM(i.salary) Total 5> FROM employee i 6> INNER JOIN title p ON 7> i.ID = p.ID 8> GROUP BY i.region 9> WITH ROLLUP 10> 11> 12> drop table employee; 13> drop table title; 14> GO region Total
----------------------------------------
East 10923.00 North 24581.00 South 15145.00 West 9579.00 NULL 60228.00 (5 rows affected) 1> 2></source>
Using ROLLUP to Get the Order Count by Year and Month
<source lang="sql">
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> YEAR(Start_Date) AS Oyear, 5> MONTH(Start_Date) AS Omonth, 6> COUNT(*) AS Order_Count 7> FROM 8> Employee 9> GROUP BY 10> YEAR(Start_Date), 11> MONTH(Start_Date) 12> WITH ROLLUP 13> 14> 15> 16> 17> drop table employee; 18> GO Oyear Omonth Order_Count
----------- -----------
2001 4 1
2001 12 1
2001 NULL 2
2002 5 1
2002 NULL 1
2003 7 1
2003 NULL 1
2004 7 1
2004 NULL 1
2005 3 1
2005 NULL 1
2006 3 1
2006 NULL 1
2007 7 1
2007 NULL 1
2008 3 1
2008 NULL 1
NULL NULL 9
(18 rows affected)</source>
Using the ROLLUP Operator
<source lang="sql">
ROLLUP with GROUP BY calculates all possible subtotals and totals in the GROUP BY clause from left to right. 5> 6> CREATE TABLE Classification ( 7> Classif_ID integer NOT NULL PRIMARY KEY, 8> Classification varchar(25)) 9> GO 1> 2> INSERT into Classification VALUES( 1,"Pop") 3> INSERT into Classification VALUES( 2,"Country") 4> INSERT into Classification VALUES( 3,"Alternative") 5> INSERT into Classification VALUES( 4,"Metal") 6> GO (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) 1> 2> 3> CREATE 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 1> INSERT into CD VALUES(2000,"John",100,1,16.99,6.99) 2> INSERT into CD VALUES(2001,"Chicago 16",107,1,14.99,5.99) 3> INSERT into CD VALUES(2002,"Chicago 17",107,1,14.99,5.99) 4> INSERT into CD VALUES(2003,"Chicago 18",107,1,14.99,5.99) 5> INSERT into CD VALUES(2004,"Greatest Hits",107,1,16.99,7.99) 6> INSERT into CD VALUES(2005,"Midnight",101,3,14.99,5.99) 7> INSERT into CD VALUES(2006,"Mode",115,3,14.99,5.99) 8> INSERT into CD VALUES(2007,"Ultra",115,3,15.99,5.99) 9> INSERT into CD VALUES(2008,"Mindcrime",102,4,14.99,5.99) 10> INSERT into CD VALUES(2009,"Empire",102,4,14.99,5.99) 11> INSERT into CD VALUES(2010,"Land",102,4,12.99,4.99) 12> INSERT into CD VALUES(2011,"Night",103,4,11.99,3.99) 13> INSERT into CD VALUES(2012,"Pyromania",103,4,14.99,5.99) 14> INSERT into CD VALUES(2013,"Hysteria",103,4,14.99,5.99) 15> INSERT into CD VALUES(2014,"Hits",103,4,13.99,4.99) 16> INSERT into CD VALUES(2015,"Hits 2",104,2,15.99,6.99) 17> INSERT into CD VALUES(2016,"Greatest",105,2,14.99,5.99) 18> INSERT into CD VALUES(2017,"Hits 3",106,1,13.99,5.99) 19> INSERT into CD VALUES(2018,"Deep",108,1,12.99,2.99) 20> INSERT into CD VALUES(2019,"Turning",109,1,14.99,5.99) 21> INSERT into CD VALUES(2020,"TheHits",109,1,16.99,7.99) 22> INSERT into CD VALUES(2021,"Cars",110,1,9.99,3.99) 23> INSERT into CD VALUES(2022,"Anthology",110,1,25.99,11.99) 24> INSERT into CD VALUES(2023,"City",110,1,14.99,5.99) 25> INSERT into CD VALUES(2024,"Rick",111,1,11.99,2.99) 26> INSERT into CD VALUES(2025,"Live",112,1,19.99,8.99) 27> INSERT into CD VALUES(2026,"Pat",113,1,16.99,6.99) 28> INSERT into CD VALUES(2027,"Big",114,1,14.99,5.99) 29> INSERT into CD VALUES(2028,"Hurting",114,1,11.99,3.99) 30> INSERT into CD VALUES(2029,"Vol 1",116,1,9.99,2.99) 31> INSERT into CD VALUES(2030,"Vol 2",116,1,9.99,2.99) 32> GO (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) (1 rows affected) 1> 2> 3> 4> SELECT CD.Classif_ID,Classification.Classification, 5> Count(CD.CD_ID) "Total Offerings" 6> FROM CD,Classification 7> WHERE CD.Classif_ID = Classification.Classif_ID 8> GROUP BY Classification.Classification, CD.Classif_ID with ROLLUP 9> GO Classif_ID Classification Total Offerings
------------------------- ---------------
3 Alternative 3
NULL Alternative 3
2 Country 2
NULL Country 2
4 Metal 7
NULL Metal 7
1 Pop 19
NULL Pop 19
NULL NULL 31
(9 rows affected) 1> 2> drop table Classification; 3> drop table CD; 4> GO</source>
WITH ROLLUP for calculating subtotals and totals on the first column in the GROUP BY column list
<source lang="sql">
6> CREATE TABLE employee( 7> id INTEGER NOT NULL PRIMARY KEY, 8> first_name VARCHAR(10), 9> last_name VARCHAR(10), 10> salary DECIMAL(10,2), 11> start_Date DATETIME, 12> region VARCHAR(10), 13> city VARCHAR(20), 14> managerid INTEGER 15> ); 16> 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> 4> SELECT region, city, SUM(salary) 5> FROM Employee 6> GROUP BY region, city 7> WITH ROLLUP 8> GO region city
-------------------- ----------------------------------------
East Calgary 6456.00 East Newton 4467.00 East NULL 10923.00 North Paris 6678.00 North Toronto 6123.00 North Vancouver 5890.00 North NULL 18691.00 South London 5567.00 South Utown 4789.00 South NULL 10356.00 West New York 5345.00 West Regina 4234.00 West NULL 9579.00 NULL NULL 49549.00 (14 rows affected) 1> 2> 3> drop table employee; 4> GO</source>
