Where clause: like and % : Like « Regular Expression « SQL / MySQL






Where clause: like and %

    
/*
mysql> Drop table Sale;
Query OK, 0 rows affected (0.00 sec)

mysql> CREATE TABLE Sale
    -> (
    ->    ID SMALLINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
    ->    Name VARCHAR(50) NOT NULL,
    ->    InStock SMALLINT UNSIGNED NOT NULL,
    ->    OnOrder SMALLINT UNSIGNED NOT NULL,
    ->    Reserved SMALLINT UNSIGNED NOT NULL,
    ->    Department ENUM('Classical', 'Popular') NOT NULL,
    ->    Category VARCHAR(20)
    -> );
Query OK, 0 rows affected (0.05 sec)

mysql> INSERT INTO Sale (Name,      InStock, OnOrder, Reserved, Department, Cate
gory)
    -> VALUES          ('Bloodshot', 11,      6,       1,        'Popular',  'Ro
ck'),
    ->                 ('Opera',     12,      5,       2,        'Classical','Op
era'),
    ->                 ('Jazz',      13,      4,       3,        'Popular',  'Ja
zz'),
    ->                 ('Music',     4,       3,       4,        'Classical','Da
nce'),
    ->                 ('Violin',    25,      2,       5,        'Classical', NU
LL),
    ->                 ('Toscana',   16,      1,       6,        'Classical', NU
LL),
    ->                 ('Blues',     7,       22,      7,        'Popular',   'B
lues'),
    ->                 ('Pure',      38,      5,       11,       'Popular',   NU
LL),
    ->                 ('Mud',       19,      11,      12,       'Popular',  'Co
untry'),
    ->                 ('Essence',   5,       23,      12,       'Popular', 'New
 Age'),
    ->                 ('Embrace',   21,      12,      14,       'Popular', 'New
 Age'),
    ->                 ('Satie',     42,      17,      15,       'Classical', NU
LL),
    ->                 ('Lake',      23,      47,      28,       'Classical', 'D
ance'),
    ->                 ('Favorites', 34,      15,      12,       'Classical', 'G
eneral'),
    ->                 ('Boheme',    25,      12,       5,       'Classical', 'O
pera'),
    ->                 ('Cantatas',  26,      13,      8,        'Classical', 'G
eneral'),
    ->                 ('Road',      27,      13,      17,       'Popular', 'Cou
ntry'),
    ->                 ('Paris',     18,      25,      10,       'Popular', 'Jaz
z'),
    ->                 ('Woman',     29,      4,        7,       'Popular', 'Blu
es'),
    ->                 ('Bach',      21,      13,      16,       'Classical', 'G
eneral'),
    ->                 ('Opera',     12,      32,      12,       'Classical', 'O
pera'),
    ->                 ('Soul',      13,      30,      14,       'Popular', NULL
),
    ->                 ('Stages',    44,      0,       8,        'Popular', 'Blu
es'),
    ->                 ('Bach',      15,      1,       8,        'Classical', 'G
eneral');
Query OK, 24 rows affected (0.01 sec)
Records: 24  Duplicates: 0  Warnings: 0

mysql> select * from Sale;
+----+-----------+---------+---------+----------+------------+----------+
| ID | Name      | InStock | OnOrder | Reserved | Department | Category |
+----+-----------+---------+---------+----------+------------+----------+
|  1 | Bloodshot |      11 |       6 |        1 | Popular    | Rock     |
|  2 | Opera     |      12 |       5 |        2 | Classical  | Opera    |
|  3 | Jazz      |      13 |       4 |        3 | Popular    | Jazz     |
|  4 | Music     |       4 |       3 |        4 | Classical  | Dance    |
|  5 | Violin    |      25 |       2 |        5 | Classical  | NULL     |
|  6 | Toscana   |      16 |       1 |        6 | Classical  | NULL     |
|  7 | Blues     |       7 |      22 |        7 | Popular    | Blues    |
|  8 | Pure      |      38 |       5 |       11 | Popular    | NULL     |
|  9 | Mud       |      19 |      11 |       12 | Popular    | Country  |
| 10 | Essence   |       5 |      23 |       12 | Popular    | New Age  |
| 11 | Embrace   |      21 |      12 |       14 | Popular    | New Age  |
| 12 | Satie     |      42 |      17 |       15 | Classical  | NULL     |
| 13 | Lake      |      23 |      47 |       28 | Classical  | Dance    |
| 14 | Favorites |      34 |      15 |       12 | Classical  | General  |
| 15 | Boheme    |      25 |      12 |        5 | Classical  | Opera    |
| 16 | Cantatas  |      26 |      13 |        8 | Classical  | General  |
| 17 | Road      |      27 |      13 |       17 | Popular    | Country  |
| 18 | Paris     |      18 |      25 |       10 | Popular    | Jazz     |
| 19 | Woman     |      29 |       4 |        7 | Popular    | Blues    |
| 20 | Bach      |      21 |      13 |       16 | Classical  | General  |
| 21 | Opera     |      12 |      32 |       12 | Classical  | Opera    |
| 22 | Soul      |      13 |      30 |       14 | Popular    | NULL     |
| 23 | Stages    |      44 |       0 |        8 | Popular    | Blues    |
| 24 | Bach      |      15 |       1 |        8 | Classical  | General  |
+----+-----------+---------+---------+----------+------------+----------+
24 rows in set (0.01 sec)

mysql> SELECT Name, InStock+OnOrder-Reserved AS Available
    -> FROM Sale
    -> WHERE Name LIKE '%bach%'
    -> ORDER BY Name;
+------+-----------+
| Name | Available |
+------+-----------+
| Bach |        18 |
| Bach |         8 |
+------+-----------+
2 rows in set (0.03 sec)


*/
Drop table Sale;


CREATE TABLE Sale
(
   ID SMALLINT NOT NULL AUTO_INCREMENT PRIMARY KEY,
   Name VARCHAR(50) NOT NULL,
   InStock SMALLINT UNSIGNED NOT NULL,
   OnOrder SMALLINT UNSIGNED NOT NULL,
   Reserved SMALLINT UNSIGNED NOT NULL,
   Department ENUM('Classical', 'Popular') NOT NULL,
   Category VARCHAR(20)
);


INSERT INTO Sale (Name,      InStock, OnOrder, Reserved, Department, Category)
VALUES          ('Bloodshot', 11,      6,       1,        'Popular',  'Rock'),
                ('Opera',     12,      5,       2,        'Classical','Opera'),
                ('Jazz',      13,      4,       3,        'Popular',  'Jazz'),
                ('Music',     4,       3,       4,        'Classical','Dance'),
                ('Violin',    25,      2,       5,        'Classical', NULL),
                ('Toscana',   16,      1,       6,        'Classical', NULL),
                ('Blues',     7,       22,      7,        'Popular',   'Blues'),
                ('Pure',      38,      5,       11,       'Popular',   NULL),
                ('Mud',       19,      11,      12,       'Popular',  'Country'),
                ('Essence',   5,       23,      12,       'Popular', 'New Age'),
                ('Embrace',   21,      12,      14,       'Popular', 'New Age'),
                ('Satie',     42,      17,      15,       'Classical', NULL),
                ('Lake',      23,      47,      28,       'Classical', 'Dance'),
                ('Favorites', 34,      15,      12,       'Classical', 'General'),
                ('Boheme',    25,      12,       5,       'Classical', 'Opera'),
                ('Cantatas',  26,      13,      8,        'Classical', 'General'),
                ('Road',      27,      13,      17,       'Popular', 'Country'),
                ('Paris',     18,      25,      10,       'Popular', 'Jazz'),
                ('Woman',     29,      4,        7,       'Popular', 'Blues'),
                ('Bach',      21,      13,      16,       'Classical', 'General'),
                ('Opera',     12,      32,      12,       'Classical', 'Opera'),
                ('Soul',      13,      30,      14,       'Popular', NULL),
                ('Stages',    44,      0,       8,        'Popular', 'Blues'),
                ('Bach',      15,      1,       8,        'Classical', 'General');
  
select * from Sale;
  

SELECT Name, InStock+OnOrder-Reserved AS Available
FROM Sale
WHERE Name LIKE '%bach%'
ORDER BY Name;


           
         
    
    
    
  








Related examples in the same category

1.To get the equivalent with LIKE, you'd have had to use % wildcards at the end:
2.like B%
3.like %r
4.LIKE '%e_'
5.Like and concat
6.Like and escape
7.LIKE '%is%'
8.LIKE '______' (underscore)
9.LIKE '______%' (underscore and %)
10.LIKE '_r%r_'
11.LIKE '_@%%@%_' ESCAPE '@'
12.To reverse the sense of a pattern match, use NOT LIKE.
13.SQL patterns do not match NULL values. This is true both for LIKE and NOT LIKE
14.LIKE Search Pattern
15.Controlling Case Sensitivity in Pattern Matching. By default, LIKE is not case sensitive:
16.Pattern Matching: LIKE and %