MySQL query finding values in a comma separated string

FIND_IN_SET is your friend in this case

select * from shirts where FIND_IN_SET(1,colors) 

Take a look at the FIND_IN_SET function for MySQL.

SELECT * 
    FROM shirts 
    WHERE FIND_IN_SET('1',colors) > 0

This will work for sure, and I actually tried it out:

lwdba@localhost (DB test) :: DROP TABLE IF EXISTS shirts;
Query OK, 0 rows affected (0.08 sec)

lwdba@localhost (DB test) :: CREATE TABLE shirts
    -> (<BR>
    -> id INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
    -> ticketnumber INT,
    -> colors VARCHAR(30)
    -> );<BR>
Query OK, 0 rows affected (0.19 sec)

lwdba@localhost (DB test) :: INSERT INTO shirts (ticketnumber,colors) VALUES
    -> (32423,'1,2,5,12,15'),
    -> (32424,'1,5,12,15,30'),
    -> (32425,'2,5,11,15,28'),
    -> (32426,'1,2,7,12,15'),
    -> (32427,'2,4,8,12,15');
Query OK, 5 rows affected (0.06 sec)
Records: 5  Duplicates: 0  Warnings: 0

lwdba@localhost (DB test) :: SELECT * FROM shirts WHERE LOCATE(CONCAT(',', 1 ,','),CONCAT(',',colors,',')) > 0;
+----+--------------+--------------+
| id | ticketnumber | colors       |
+----+--------------+--------------+
|  1 |        32423 | 1,2,5,12,15  |
|  2 |        32424 | 1,5,12,15,30 |
|  4 |        32426 | 1,2,7,12,15  |
+----+--------------+--------------+
3 rows in set (0.00 sec)

Give it a Try !!!

If the set of colors is more or less fixed, the most efficient and also most readable way would be to use string constants in your app and then use MySQL's SET type with FIND_IN_SET('red',colors) in your queries. When using the SET type with FIND_IN_SET, MySQL uses one integer to store all values and uses binary "and" operation to check for presence of values which is way more efficient than scanning a comma-separated string.

In SET('red','blue','green'), 'red' would be stored internally as 1, 'blue' would be stored internally as 2 and 'green' would be stored internally as 4. The value 'red,blue' would be stored as 3 (1|2) and 'red,green' as 5 (1|4).

select * from shirts where find_in_set('1',colors) <> 0

Works for me

If you're using MySQL, there is a method REGEXP that you can use...

http://dev.mysql.com/doc/refman/5.1/en/regexp.html#operator_regexp

So then you would use:

SELECT * FROM `shirts` WHERE `colors` REGEXP '\b1\b'

You should actually fix your database schema so that you have three tables:

shirt: shirt_id, shirt_name
color: color_id, color_name
shirtcolor: shirt_id, color_id

Then if you want to find all of the shirts that are red, you'd do a query like:

SELECT *
FROM shirt, color
WHERE color.color_name = 'red'
  AND shirt.shirt_id = shirtcolor.shirt_id
  AND color.color_id = shirtcolor.color_id

1. For MySQL:

SELECT FIND_IN_SET(5, columnname) AS result 
FROM table

2.For Postgres SQL :

SELECT * 
FROM TABLENAME f
WHERE 'searchvalue' = ANY (string_to_array(COLUMNNAME, ','))

Example

select * 
from customer f
where '11' = ANY (string_to_array(customerids, ','))

You can achieve this by following function.

Run following query to create function.

DELIMITER ||
CREATE FUNCTION `TOTAL_OCCURANCE`(`commastring` TEXT, `findme`     VARCHAR(255)) RETURNS int(11)
NO SQL
-- SANI: First param is for comma separated string and 2nd for string to find.
return ROUND (   
    (
        LENGTH(commastring)
        - LENGTH( REPLACE ( commastring, findme, "") ) 
    ) / LENGTH(findme)        
);

And call this function like this

msyql> select TOTAL_OCCURANCE('A,B,C,A,D,X,B,AB', 'A');

The correct answer would be to fix the table design by splitting the comma separated string into rows.

If the schema can not be changed , you could try the following approach which requires MySQL 8+.

We can use JSON_TABLE to split comma-separated values dynamically.

Consider the following data example

CREATE TABLE shirts (
    id INT PRIMARY KEY,
    colors VARCHAR(50) NOT NULL
);

INSERT INTO shirts VALUES (1,'1,2,3'), (2,'2,3,4'), 
  (3,'3,4'), (4,'1,2'), (5,'12,14');

Split the colors

SELECT s.id,
       j.colors
FROM shirts s
JOIN JSON_TABLE(
    CONCAT('[\"', REPLACE(REPLACE(s.colors,' ',''), ',', '\",\"'), '\"]'),  
    '$[*]' COLUMNS (colors VARCHAR(10) PATH '$')  
) AS j

Retrieve all id that have colors "1" included

 SELECT s.id,
        j.colors
 FROM shirts s
 JOIN JSON_TABLE(
                CONCAT('[\"', REPLACE(REPLACE(s.colors,' ',''), ',', '\",\"'), '\"]'),  
                       '$[*]' COLUMNS (colors VARCHAR(10) PATH '$')  
                 ) AS j
 WHERE j.colors = 1;

Above query we could use as a JOIN to retrieve all columns from the table

SELECT sh.*
FROM shirts sh
INNER JOIN (SELECT s.id,
                   j.colors
            FROM shirts s
            JOIN JSON_TABLE(
                          CONCAT('[\"', REPLACE(REPLACE(s.colors,' ',''), ',', '\",\"'), '\"]'),  
                                 '$[*]' COLUMNS (colors VARCHAR(10) PATH '$')  
                          ) AS j
            WHERE j.colors = 1
           ) sub on sub.id=sh.id;

See example