SQL Server/T-SQL/Data Type/Cast

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Arithmetic overflow error converting numeric to data type varchar.

 
8>
9> CREATE TABLE employee(
10>    id          INTEGER NOT NULL PRIMARY KEY,
11>    first_name  VARCHAR(10),
12>    last_name   VARCHAR(10),
13>    salary      DECIMAL(10,2),
14>    start_Date  DATETIME,
15>    region      VARCHAR(10),
16>    city        VARCHAR(20),
17>    managerid   INTEGER
18> );
19> GO
(1 rows affected)
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 CAST(ID AS VarChar(5)) + "-" + CAST(Salary AS VarChar(5))
4> FROM Employee
5>
6>
7> drop table employee;
8> GO
Msg 8115, Level 16, State 5, Server J\SQLEXPRESS, Line 3
Arithmetic overflow error converting numeric to data type varchar.
1>
2>



CAST("11/11/72" as smalldatetime) AS "11/11/72"

1> SELECT
2>    CAST("11/11/72" as smalldatetime) AS "11/11/72",
3>    CAST("6/5/40" as smalldatetime) as "6/5/40"
4> GO
11/11/72             6/5/40
-------------------- --------------------
 1972-11-11 00:00:00  2040-06-05 00:00:00
(1 rows affected)
1>



CAST("123.4" AS Decimal)

1> SELECT CAST("123.4" AS Decimal)
2>
3> GO
--------------------
                 123
(1 rows affected)
1>
2>



CAST(2.78128 AS integer)

1> -- Cast 2.78128 as an integer:
2>
3> SELECT CAST(2.78128 AS integer)
4> GO
-----------
          2
(1 rows affected)
1>



CAST(2.78128 AS money)

1> SELECT CAST(2.78128 AS money)
2> GO
---------------------
               2.7813
(1 rows affected)
1>



CAST can still do date conversion

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> -- CAST can still do date conversion
3>
4> SELECT Start_Date, CONVERT(varchar(12), Start_Date, 111) AS "Converted" FROM Employee
5>
6>
7>
8> drop table employee
9> GO
Start_Date              Converted
----------------------- ------------
1994-02-01 00:00:00.000 1994/02/01
1995-01-02 00:00:00.000 1995/01/02
1996-12-03 00:00:00.000 1996/12/03
1997-11-04 00:00:00.000 1997/11/04
1998-10-05 00:00:00.000 1998/10/05
1999-09-06 00:00:00.000 1999/09/06
2000-08-07 00:00:00.000 2000/08/07
2001-07-08 00:00:00.000 2001/07/08
2002-06-09 00:00:00.000 2002/06/09
(9 rows affected)
1>



Cast date to different format

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> SELECT Start_Date, CONVERT(varchar(12), Start_Date, 5) AS "Converted"  FROM Employee
3> GO
Start_Date              Converted
----------------------- ------------
1994-02-01 00:00:00.000 01-02-94
1995-01-02 00:00:00.000 02-01-95
1996-12-03 00:00:00.000 03-12-96
1997-11-04 00:00:00.000 04-11-97
1998-10-05 00:00:00.000 05-10-98
1999-09-06 00:00:00.000 06-09-99
2000-08-07 00:00:00.000 07-08-00
2001-07-08 00:00:00.000 08-07-01
2002-06-09 00:00:00.000 09-06-02
(9 rows affected)
1>
2> drop table employee
3> GO
1>



Cast date type to char

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> SELECT Start_Date, CAST(Start_Date AS varchar) AS "Converted" FROM Employee WHERE ID = 1
3> GO
Start_Date              Converted
----------------------- ------------------------------
1994-02-01 00:00:00.000 Feb  1 1994 12:00AM
(1 rows affected)
1>
2> drop table employee
3> GO
1>



CAST(expression AS data type(<length>))

 

5> SELECT CAST(2.78128 AS integer)
6> SELECT CAST(2.78128 AS money)
7> GO
-----------
          2
(1 rows affected)
---------------------
               2.7813
(1 rows affected)



CAST(ID AS VarChar(5))

1>
2> create table employee(
3>     ID          int,
4>     name        nvarchar (10),
5>     salary      int,
6>     start_date  datetime,
7>     city        nvarchar (10),
8>     region      char (1))
9> 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> SELECT Name, CAST(ID AS VarChar(5))
3> FROM Employee
4> ORDER BY Name
5>
6>
7> drop table employee
8> GO
Name
---------- -----
Alison     7
Celia      3
Chris      8
David      5
James      6
Jason      1
Linda      4
Mary       9
Robert     2
(9 rows affected)
1>



Cast number to varchar and use the regular expressions

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> SELECT ID, Name
3> FROM Employee
4> WHERE CAST(Salary as varchar(10)) LIKE "%6%"
5> GO
ID          Name
----------- ----------
          4 Linda
          5 David
          6 James
          7 Alison
          8 Chris
          9 Mary
(6 rows affected)
1>
2> drop table employee
3> GO
1>



CAST (original_expression AS desired_datatype)

 

6> CREATE TABLE employee
7> (
8>    emp_id         varchar(20),
9>    fname          varchar(20)       NOT NULL,
10>    minit          char(1)               NULL,
11>    lname          varchar(30)       NOT NULL,
12>    job_id         smallint          NOT NULL       DEFAULT 1,
13>    job_lvl        tinyint                          DEFAULT 10,
14>    pub_id         char(4)           NOT NULL       DEFAULT ("9952"),
15>    hire_date      datetime          NOT NULL       DEFAULT (getdate())
16> )
17> GO
1>
2> insert employee values ("1", "Jack", "T", "Lee",     2, 215, "9952", "11/11/89")
3> insert employee values ("2", "Jode", "M", "Devon",   3, 200, "9952", "07/16/91")
4> insert employee values ("3", "Frac", "F", "Chang",   4, 227, "9952", "11/03/90")
5> insert employee values ("4", "Like", "A", "Lebihan", 5, 175, "0736", "06/03/90")
6> insert employee values ("5", "Paul", "X", "Henriot", 5, 159, "0877", "08/19/93")
7> insert employee values ("6", "Sick", "K", "Ottlieb", 5, 150, "1389", "04/05/91")
8> insert employee values ("7", "Rita", "B", "Muller",  5, 198, "1622", "10/09/93")
9> insert employee values ("8", "Mary", "J", "Pontes",  5, 246, "1756", "03/01/89")
10> insert employee values ("9", "Jane", "Y", "Labrune", 5, 172, "9901", "05/26/91")
11> insert employee values ("10","Carl", "F", "Hernadez",5, 211, "9999", "04/21/89")
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>
2>
3> SELECT lname + "-" + CAST(job_id AS varchar(2)) FROM employee
4> GO
---------------------------------
Lee-2
Devon-3
Chang-4
Lebihan-5
Henriot-5
Ottlieb-5
Muller-5
Pontes-5
Labrune-5
Hernadez-5
(10 rows affected)
1>
2> drop table employee;
3> GO



CONVERT() does the same thing as the CAST() function

1> -- CONVERT() does the same thing as the CAST() function.
2>
3> SELECT CONVERT(INT, "123")
4>
5> GO
-----------
        123
(1 rows affected)
1>



Convert varchar to number

11>
12> DECLARE @Num Float
13> SET @Num = 1234.56
14> SELECT CONVERT(VarChar(50), @Num, 2)
15> GO
--------------------------------------------------
1.234560000000000e+003
(1 rows affected)
1>
2>



Mixing Datatypes: CAST and CONVERT

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> --Mixing Datatypes: CAST and CONVERT
3>
4> SELECT "Some text " + CAST(ID AS varchar) FROM Employee WHERE ID = 1
5> GO
----------------------------------------
Some text 1
(1 rows affected)
1>
2>
3>
4>
5> drop table employee
6> GO
1>



select CAST("2002-35:00" AS smalldatetime) - 1 (minus)

 

2>
3> select CAST("2002-09-30 11:35:00" AS smalldatetime) - 1
4> GO
--------------------
 2002-09-29 11:35:00
(1 rows affected)



select CAST("2002-35:00" AS smalldatetime) + 1 (plus)

 

2>
3> select CAST("2002-09-30 11:35:00" AS smalldatetime) + 1
4> GO
--------------------
 2002-10-01 11:35:00
(1 rows affected)



select CAST(CAST("2002-09-30" AS datetime) - CAST("2001-12-01" AS datetime) AS int)

 

2>
3> select CAST(CAST("2002-09-30" AS datetime) - CAST("2001-12-01" AS datetime) AS int)
4> GO
-----------
        303
(1 rows affected)
1>



The CAST() function accepts one argument, an expression

1> -- The CAST() function accepts one argument, an expression
2>
3> SELECT CAST("123" AS Int)
4>
5> GO
-----------
        123
(1 rows affected)
1>