LIKE Operator in SQL Server

in this tutorial, you will learn how to use the SQL Server LIKE to check whether a character string matches a specified pattern.

SQL Server LIKE operator overview

The SQL Server LIKE is a logical operator that determines if a character string matches a specified pattern. A pattern may include regular characters and wildcard characters. The LIKE operator is used in the WHERE clause of the SELECT, UPDATE, and DELETE statements to filter rows based on pattern matching.

The following illustrates the syntax of the SQL Server LIKE operator:

column | expression LIKE pattern [ESCAPE escape_character]

Pattern

The pattern is a sequence of characters to search for in the column or expression. It can include the following valid wildcard characters:

• The percent wildcard (%): any string of zero or more characters.
• The underscore (_) wildcard: any single character.
• The [list of characters] wildcard: any single character within the specified set.
• The [character-character]: any single character within the specified range.
• The [^]: any single character not within a list or a range.

The wildcard characters makes the LIKE operator more flexible than the equal (=) and not equal (!=) string comparison operators.

Escape character

The escape character instructs the LIKE operator to treat the wildcard characters as the regular characters. The escape character has no default value and must be evaluated to only one character.

The LIKE operator returns TRUE if the column or expression matches the specified pattern.

To negate the result of the LIKE operator, you use the NOT operator as follows:

column | expression NOT LIKE pattern [ESCAPE escape_character]

SQL Server LIKE examples

The % (percent) wildcard examples

The following example finds the customers whose last name starts with the letter z:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE 'z%'
ORDER BY
    first_name;

The following example returns the customers whose last name ends with the string er:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE '%er'
ORDER BY
    first_name;

The following statement retrieves the customers whose last name starts with the letter t and ends with the letter s:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE 't%s'
ORDER BY
    first_name;

The _ (underscore) wildcard example

The underscore represents a single character. For example, the following statement returns the customers where the second character is the letter u:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE '_u%'
ORDER BY
    first_name;

The pattern _u%

• The first underscore character ( _) matches any single character.
• The second letter u matches the letter u exactly
• The third character % matches any sequence of characters

The [list of characters] wildcard example

The square brackets with a list of characters e.g., [ABC] represents a single character that must be one of the characters specified in the list.

For example, the following query returns the customers where the first character in the last name is Y or Z:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE '[YZ]%'
ORDER BY
    last_name;

The [character-character] wildcard example

The square brackets with a character range e.g., [A-C] represent a single character that must be within a specified range.

For example, the following query finds the customers where the first character in the last name is the letter in the range A through C:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE '[A-C]%'
ORDER BY
    first_name;

The [^Character List or Range] wildcard example

The square brackets with a caret sign (^) followed by a range e.g., [^A-C] or character list e.g., [ABC] represent a single character that is not in the specified range or character list.

For example, the following query returns the customers where the first character in the last name is not the letter in the range A through X:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    last_name LIKE '[^A-X]%'
ORDER BY
    last_name;

The NOT LIKE operator example

The following example uses the NOT LIKE operator to find customers where the first character in the first name is not the letter A:

SELECT
    customer_id,
    first_name,
    last_name
FROM
    sales.customers
WHERE
    first_name NOT LIKE 'A%'
ORDER BY
    first_name;

SQL Server LIKE with ESCAPE example

First, create a new table for the demonstration:

CREATE TABLE sales.feedbacks (
   feedback_id INT IDENTITY(1, 1) PRIMARY KEY, 
    comment     VARCHAR(255) NOT NULL
);

Second, insert some rows into the sales.feedbacks table:

INSERT INTO sales.feedbacks(comment)
VALUES('Can you give me 30% discount?'),
      ('May I get me 30USD off?'),
      ('Is this having 20% discount today?');

Third, query data from the sales.feedbacks table:

SELECT * FROM sales.feedbacks;

If you want to search for 30% in the comment column, you may come up with a query like this:

SELECT 
   feedback_id,
   comment
FROM 
   sales.feedbacks
WHERE 
   comment LIKE '%30%';

The query returns the comments that contain 30% and 30USD, which is not what we expected.

To solve this issue, you need to use the ESCAPE clause:

SELECT 
   feedback_id, 
   comment
FROM 
   sales.feedbacks
WHERE 
   comment LIKE '%30!%%' ESCAPE '!';

In this query, the  ESCAPE clause specified that the character ! is the escape character. It instructs the LIKE operator to treat the % character as a literal string instead of a wildcard. Note that without the ESCAPE clause, the query would return an empty result set.