SQL Server/T-SQL Tutorial/String Functions/UPPER

Changing Character Values to Upper

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 UPPER(first_name)
5> FROM employee
6> GO
--------------------
JASON
ALISON
JAMES
CELIA
ROBERT
LINDA
DAVID
JAMES
JOAN
(9 rows affected)
1>
2>
3> drop table employee;
4> GO

select UPPER("ca")

2> select UPPER("ca")
3> GO
--
CA
(1 rows affected)

The LOWER() and UPPER() Functions

5> DECLARE @LastName VarChar(25), @SpaceIndex TinyInt
6> SET @LastName = "mc donald"
7> -- Find space in name:
8> SET @SpaceIndex = CHARINDEX(" ", @LastName)
9> IF @SpaceIndex > 0                      
10> SELECT UPPER(LEFT(@LastName, 1))
11> + LOWER(SUBSTRING(@LastName, 2, @SpaceIndex - 1))
12> + UPPER(SUBSTRING(@LastName, @SpaceIndex + 1, 1))
13> + LOWER(SUBSTRING(@LastName, @SpaceIndex + 2, LEN(@LastName)))
14> ELSE                                   
15> SELECT UPPER(LEFT(@LastName, 1))
16> + LOWER(SUBSTRING(@LastName, 2, LEN(@LastName)))
17> GO
----------------------------------------------------
Mc Donald
(1 rows affected)
1>

UPPER Translates all characters within the string to upper case.

3> DECLARE @UPPER_STRING char(100)
4> SET @UPPER_STRING = "www.sqle.ru sqle"
5>
6> SELECT UPPER(@UPPER_STRING)
7> GO

------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------
WWW.sqle.ru sqle

(1 rows affected)