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2010-05-26T13:46:06Z

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2010-05-26T10:21:00Z

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==Identify the columns in the ORDER BY clause by the ordinal position of the column in the SELECT list==



<source lang="sql">
1> CREATE TABLE employee (emp_no INTEGER NOT NULL,
2> emp_fname CHAR(20) NOT NULL,
3> emp_lname CHAR(20) NOT NULL,
4> dept_no CHAR(4) NULL)
5> GO
1> insert into employee values(1, "Matthew", "Smith", "d3")
2> insert into employee values(2, "Ann", "Jones", "d3")
3> insert into employee values(3, "John", "Barrimore","d1")
4> insert into employee values(4, "James", "James", "d2")
5> insert into employee values(5, "Elsa", "Bertoni", "d2")
6> insert into employee values(6, "Elke", "Hansel", "d2")
7> insert into employee values(7, "Sybill", "Moser", "d1")
8> GO
(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
emp_no emp_fname emp_lname dept_no
----------- -------------------- -------------------- -------
1 Matthew Smith d3
2 Ann Jones d3
3 John Barrimore d1
4 James James d2
5 Elsa Bertoni d2
6 Elke Hansel d2
7 Sybill Moser d1
(7 rows affected)
1> -- Identify the columns in the ORDER BY clause by the ordinal position of
the column in the SELECT list.
2>
3> SELECT emp_fname, emp_lname, dept_no FROM employee WHERE emp_no < 20000
4> ORDER BY 2, 1
5> GO
emp_fname emp_lname dept_no
-------------------- -------------------- -------
John Barrimore d1
Elsa Bertoni d2
Elke Hansel d2
James James d2
Ann Jones d3
Sybill Moser d1
Matthew Smith d3
(7 rows affected)
1> drop table employee
2> GO
1>

</source>

==Order by two columns==



<source lang="sql">
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>
3> SELECT Name, City
4> FROM Employee ORDER BY Name, City
5> GO
Name City
---------- ----------
Alison New York
Celia Toronto
Chris Vancouver
David Vancouver
James Toronto
Jason New York
Linda New York
Mary Toronto
Robert Vancouver
(9 rows affected)
1>
2>
3>
4>
5> drop table employee
6> GO
1>

</source>

==Order criterion may contain more than one column==



<source lang="sql">

1> CREATE TABLE employee (emp_no INTEGER NOT NULL,
2> emp_fname CHAR(20) NOT NULL,
3> emp_lname CHAR(20) NOT NULL,
4> dept_no CHAR(4) NULL)
5> GO
1> insert into employee values(1, "Matthew", "Smith", "d3")
2> insert into employee values(2, "Ann", "Jones", "d3")
3> insert into employee values(3, "John", "Barrimore","d1")
4> insert into employee values(4, "James", "James", "d2")
5> insert into employee values(5, "Elsa", "Bertoni", "d2")
6> insert into employee values(6, "Elke", "Hansel", "d2")
7> insert into employee values(7, "Sybill", "Moser", "d1")
8> GO
(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
emp_no emp_fname emp_lname dept_no
----------- -------------------- -------------------- -------
1 Matthew Smith d3
2 Ann Jones d3
3 John Barrimore d1
4 James James d2
5 Elsa Bertoni d2
6 Elke Hansel d2
7 Sybill Moser d1
(7 rows affected)
1> -- Order criterion may contain more than one column.
2>
3> SELECT emp_fname, emp_lname, dept_no FROM employee WHERE emp_no < 20000
4> ORDER BY emp_lname, emp_fname
5> GO
emp_fname emp_lname dept_no
-------------------- -------------------- -------
John Barrimore d1
Elsa Bertoni d2
Elke Hansel d2
James James d2
Ann Jones d3
Sybill Moser d1
Matthew Smith d3
(7 rows affected)
1> drop table employee
2> GO
1>

</source>

==Using a CASE Expression in an ORDER BY Clause==



<source lang="sql">

4>
5> CREATE TABLE employee(
6> id INTEGER NOT NULL PRIMARY KEY,
7> first_name VARCHAR(10),
8> last_name VARCHAR(10),
9> salary DECIMAL(10,2),
10> start_Date DATETIME,
11> region VARCHAR(10),
12> city VARCHAR(20),
13> managerid INTEGER
14> );
15> 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> *
6> FROM
7> Employee
8> ORDER BY
9> CASE City
10> WHEN "New York" THEN char (1)
11> WHEN "Vancouver" THEN char (2)
12> WHEN "Mexico" THEN char (3)
13> ELSE City
14> END
15> GO
id first_name last_name salary start_Date region city managerid
----------- ---------- ---------- ------------ ----------------------- ---------- -------------------- -----------
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
1 Jason Martin 5890.00 2005-03-22 00:00:00.000 North Vancouver 3
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
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
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
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
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
(9 rows affected)
1>
2>
3>
4> drop table employee;
5> GO
</source>

==Using a CASE Expression in an ORDER BY Clause (Alternative)==



<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> *
5> FROM
6> Employee
7> ORDER BY
8> CASE City
9> WHEN "Vancouver" THEN 1
10> WHEN "Toronto" THEN 2
11> WHEN "Mexico" THEN 3
12> ELSE 4
13> END, -- Dummy NAFTA Region
14> City,
15> Region
16> 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
9 Joan Act 6123.00 2001-04-16 00:00:00.000 North Toronto 10
6 Linda Green 6456.00 2002-05-19 00:00:00.000 East Calgary 8
4 Celia Rice 5567.00 2006-03-03 00:00:00.000 South London 6
7 David Larry 5345.00 2008-03-18 00:00:00.000 West New York 9
5 Robert Black 4467.00 2004-07-02 00:00:00.000 East Newton 7
3 James Smith 6678.00 2001-12-01 00:00:00.000 North Paris 5
8 James Cat 4234.00 2007-07-17 00:00:00.000 West Regina 9
2 Alison Mathews 4789.00 2003-07-21 00:00:00.000 South Utown 4
(9 rows affected)
1>
2> drop table employee;
3> GO
</source>

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