SQL Tutorial: 8

By alexxk5111

SQL LIKE – SQL Tutorial

We will use the Customers table to illustrate the SQL LIKE clause usage:

FirstNameLastNameEmailDOBPhone
JohnSmith[email protected]2/4/1968626 222-2222
StevenGoldfish[email protected]4/4/1974323 455-4545
PaulaBrown[email protected]5/24/1978416 323-3232
JamesSmith[email protected]20/10/1980416 323-8888

The SQL LIKE clause is very useful when you want to specify a search condition within your SQL WHERE clause, based on a part of a column contents. For example if you want to select all customers having FirstName starting with ‘J’ you need to use the following SQL statement:


SELECT *
FROM Customers
WHERE FirstName LIKE ‘J%’

Here is the result of the SQL statement above:

FirstNameLastNameEmailDOBPhone
JohnSmith[email protected]2/4/1968626 222-2222
JamesSmith[email protected]20/10/1980416 323-8888

If you want to select all Customers with phone numbers starting with ‘416’ you will use this SQL expression:


SELECT *
FROM Customers
WHERE Phone LIKE ‘416%’

The ‘%’ is a so called wildcard character and represents any string in our pattern.
You can put the wildcard anywhere in the string following the SQL LIKE clause and you can put as many wildcards as you like too.

Note that different databases use different characters as wildcard characters, for example ‘%’ is a wildcard character for MS SQL Server representing any string, and ‘*’ is the corresponding wildcard character used in MS Access.

Another wildcard character is ‘_’ representing any single character.

The ‘[]’ specifies a range of characters. Have a look at the following SQL statement:


SELECT *
FROM Customers
WHERE Phone LIKE ‘[4-6]_6%’

This SQL expression will return all customers satisfying the following conditions:

  • The Phone column starts with a digit between 4 and 6 ([4-6])
  • Second character in the Phone column can be anything (_)
  • The third character in the Phone column is 6 (6)
  • The remainder of the Phone column can be any character string (%)

Here is the result of this SQL expression:

FirstNameLastNameEmailDOBPhone
JohnSmith[email protected]2/4/1968626 222-2222
PaulaBrown[email protected]5/24/1978416 323-3232
JamesSmith[email protected]20/10/1980416 323-8888