SQL Server/T-SQL/Select Query/ISNULL

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Dealing with NULL Data - the ISNULL Function

1> -- Dealing with NULL Data - the ISNULL Function
2>
3>
4> select ISNULL(NULL, 5)
5>
6> GO
-----------
          5
(1 rows affected)
1>



ISNULL(5, 15)

1> select ISNULL(5, 15)
2> GO
-----------
          5
(1 rows affected)
1>



ISNULL allows a display of the specified value as substitution for NULL

1>
2> CREATE TABLE works_on        (emp_no       INTEGER NOT NULL,
3>                         project_no    CHAR(4) NOT NULL,
4>                         job CHAR (15) NULL,
5>                         enter_date    DATETIME NULL)
6> GO
1> insert into works_on values (1, "p1", "analyst", "1997.10.1")
2> insert into works_on values (1, "p3", "manager", "1999.1.1")
3> insert into works_on values (2, "p2", "clerk",   "1998.2.15")
4> insert into works_on values (2, "p2",  NULL,     "1998.6.1")
5> insert into works_on values (3, "p2",  NULL,     "1997.12.15")
6> insert into works_on values (4, "p3", "analyst", "1998.10.15")
7> insert into works_on values (5, "p1", "manager", "1998.4.15")
8> insert into works_on values (6, "p1",  NULL,     "1998.8.1")
9> insert into works_on values (7, "p2", "clerk",   "1999.2.1")
10> insert into works_on values (8, "p3", "clerk",   "1997.11.15")
11> insert into works_on values (7, "p1", "clerk",   "1998.1.4")
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> -- ISNULL allows a display of the specified value as substitution for NULL
3>
4> SELECT emp_no, ISNULL(job, "Job unknown") task FROM works_on WHERE project_no = "p1"
5> GO
emp_no      task
----------- ---------------
          1 analyst
          5 manager
          6 Job unknown
          7 clerk
(4 rows affected)
1>
2> drop table works_on
3> GO
1>



ISNULL function demo

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,  NULL   , 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,  NULL  ,  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 NULL             26020 2001-07-08 00:00:00.000 Vancouver  N
          9 NULL             60020 2002-06-09 00:00:00.000 Toronto    W
(9 rows affected)
1>
2> SELECT TOP 3 Name,  ISNULL(Name, "No Name") FROM Employee
3> GO
Name
---------- ----------
Jason      Jason
Robert     Robert
Celia      Celia
(3 rows affected)
1>
2>
3>
4>
5> drop table employee
6> GO
1>



ISNULL with subquery

 

11> CREATE TABLE titles(
12>    title_id       varchar(20),
13>    title          varchar(80)       NOT NULL,
14>    type           char(12)          NOT NULL,
15>    pub_id         char(4)               NULL,
16>    price          money                 NULL,
17>    advance        money                 NULL,
18>    royalty        int                   NULL,
19>    ytd_sales      int                   NULL,
20>    notes          varchar(200)          NULL,
21>    pubdate        datetime          NOT NULL
22> )
23> GO
1>
2> insert titles values ("1", "Secrets",   "popular_comp", "1389", $20.00, $8000.00, 10, 4095,"Note 1","06/12/94")
3> insert titles values ("2", "The",       "business",     "1389", $19.99, $5000.00, 10, 4095,"Note 2","06/12/91")
4> insert titles values ("3", "Emotional", "psychology",   "0736", $7.99,  $4000.00, 10, 3336,"Note 3","06/12/91")
5> insert titles values ("4", "Prolonged", "psychology",   "0736", $19.99, $2000.00, 10, 4072,"Note 4","06/12/91")
6> insert titles values ("5", "With",      "business",     "1389", $11.95, $5000.00, 10, 3876,"Note 5","06/09/91")
7> insert titles values ("6", "Valley",    "mod_cook",     "0877", $19.99, $0.00,    12, 2032,"Note 6","06/09/91")
8> insert titles values ("7", "Any?",      "trad_cook",    "0877", $14.99, $8000.00, 10, 4095,"Note 7","06/12/91")
9> insert titles values ("8", "Fifty",     "trad_cook",    "0877", $11.95, $4000.00, 14, 1509,"Note 8","06/12/91")
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>
2>
3>
4> SELECT title, pub_id, ISNULL(price, (SELECT MIN(price)
5>     FROM titles)) FROM titles
6> GO
title                                                                            pub_id
-------------------------------------------------------------------------------- ------ ---------------------
Secrets                                                                          1389                 20.0000
The                                                                              1389                 19.9900
Emotional                                                                        0736                  7.9900
Prolonged                                                                        0736                 19.9900
With                                                                             1389                 11.9500
Valley                                                                           0877                 19.9900
Any?                                                                             0877                 14.9900
Fifty                                                                            0877                 11.9500
(8 rows affected)
1>
2>
3> drop table titles;
4> GO



Using ISNULL in select statement

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 ISNULL(ID, 0)  from Employee where ID = 3
3>
4> drop table employee
5> GO
-----------
          3
(1 rows affected)
1>