MySQL supports pattern matching comparison using regular expressions with REGEXP keyword. In this post we will see how to use REGEXP in MySQL. We can use the patterns ^, $, | and sqaure braces to effectively match the values.

Let us create the following table to try regular expressions with REGEXP:
CREATE TABLE items(item_id INT, item_description VARCHAR(100)); INSERT INTO items VALUES (1,'Television'); INSERT INTO items VALUES (2,'Mobile'); INSERT INTO items VALUES (3,'laptop'); INSERT INTO items VALUES (4,'Cables'); INSERT INTO items VALUES (5,'Camera'); INSERT INTO items VALUES (6,'jewels'); INSERT INTO items VALUES (7,'shirt'); INSERT INTO items VALUES (8,'Cup'); INSERT INTO items VALUES (9,'Pen'); INSERT INTO items VALUES (10,'Pencil');
1 Find Out item_description That Starts with c Using Regular Expressions with REGEXPSELECT item_description FROM items
WHERE item_description regexp '^c';
Result :
Item_description Cables Camera Cup
2 Find out item_description that ends with s
SELECT item_description FROM items
WHERE item_description regexp 's$';
WHERE item_description regexp 's$';
Result :
Item_description Cables jewels
3 Find out item_description that starts with c or ends with s
SELECT item_description FROM items
WHERE item_description regexp '^c|s$';
WHERE item_description regexp '^c|s$';
Result :
Item_description Cables Camera jewels Cup
4 Find out item_description that contains the alphabet a
SELECT item_description FROM items
WHERE item_description regexp '[a]';
WHERE item_description regexp '[a]';
Result :
Item_description laptop Cables Camera
5 Find Out item_description That Contains the Alphabet c or p Using Regular Expressions with REGEXP
SELECT item_description FROM items WHERE item_description regexp '^[cp]';
Result :
Item_description Cables Camera Cup Pen Pencil
A Few Notes Before You Use REGEXP
REGEXP returns true when the pattern matches anywhere in the value. That is why the anchors matter so much in the examples above. The caret ^ ties the pattern to the start of the value and the dollar sign $ ties it to the end. Without them, the pattern ‘c’ would match every value that has the letter c anywhere in it.
Notice also that ‘^c’ returned Cables, Camera and Cup even though the pattern uses a small c. With the default case insensitive collation, the comparison ignores case. If you need an exact case match, compare against a binary string or use a case sensitive collation.
Two more small things are good to know. RLIKE is a synonym for REGEXP, so you will see both in other people’s code. NOT REGEXP gives you the opposite list, which is handy when you want every row that does not follow a pattern. If you are on MySQL 8.0 or later, you also get functions like REGEXP_LIKE, REGEXP_REPLACE and REGEXP_SUBSTR for more advanced work.
Published by Pinal Dave on SQLAuthority. More of my work at pinaldave.com.
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5 Comments. Leave new
Hello Sir,
Is sql server supports regular expressions, if it so please let me know.
Yes. In SQL Server you just need to use LIKE instead of REGEXP and do not use ^,|, etc used in MySQL
Nice. Now show how to do regex in MSSQL ☺
For the first example, SQL Server query would be
SELECT item_description FROM items
WHERE item_description Like ‘[c]%’;
For fifth example, it would be
SELECT item_description FROM items
WHERE item_description LIKE ‘[cp]%’;
This looks like a useful feature. What performance impact does this have on the query? Does MySql come with any tools for composing more complex regular expressions?