SQL Server/T-SQL/Select Query/Order Columns

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

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>



Order by two columns

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>



Order criterion may contain more than one column

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>



Using a CASE Expression in an ORDER BY Clause

 
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



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

 
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