In this lesson you are going to explore how to use pattern matching in SQL with the LIKE operator.  Using this phrase allows us perform partial matches of data values and obtain answers to questions which can’t be done with conventional comparisons.

The lesson’s objectives are to:

  1. learn about the LIKE match condition
  2. understand wild cards

Important! Please follow along and do the examples in your database.  If you haven’t already done so, sign up for my Guide to Getting Started with SQL Server.  You get instructions on how to install the free tools and sample database.

Pattern Matching in SQL with the Like Match Condition

The LIKE match condition is used to match values fitting a specified pattern.  Unlike the equals (=) comparison operator, which requires an exact match, with LIKE we can specify a pattern to partially match fields. An example where clause using the LIKE condition to find all Employees whose first names start with “R” is:

WHERE FirstName LIKE 'R%'

You may be wondering what is so special about that search as you could just as easily as written

WHERE FirstName >= 'R' AND FirstName < 'S'

to achieve the same result, but what about finding all names ending in the letter s?  There is no easy way to use the traditional comparison operators to do this, but it’s easily handled with LIKE:

WHERE FirstName LIKE '%s'

The ‘R%’ and ‘%s’ are patterns. Patterns are created using placeholder characters.  There are several special characters used:

Wildcard Description
% Match zero or more characters
_ Match exactly one character

Note:  There are a couple of more wildcards you can use to specify ranges, but for now, we are going to focus on the most popular ones.

Let look at the % wildcard.  The pattern ‘%and%’ would match word ‘Wand’, ‘and’, or ‘Standard.’ To find all state abbreviations starting with the letter N, we could use the pattern ‘N%’ as this would match all values who first character is “N” and then any characters afterwards.

Yet, since state abbreviations are two characters ‘N_’ is more accurate, as this states to first match ‘N’ and then one and only one character thereafter. We can also match an anti-pattern using NOT.  If you’re looking for all names that do not end in S, the clause to use is

WHERE FirstName NOT LIKE '%s'

This would match ‘Baker’, ‘Michigan’, or ‘Wolverine,’ but not ‘Sales’ or ‘Kites’

As with other clauses, LIKE comparisons can be combined with other comparisons using AND and OR.

So, to find all employees in the AdventureWorks2012 database who are managers and females, we can use the following query:

SELECT NationalIDNumber,
FROM   HumanResources.Employee
WHERE  Employee.JobTitle LIKE '%manager%'
       AND Employee.Gender = 'F'

Matching a 1-800 Phone Number

So if you wanted to search for “1-800” phone numbers you could do a search like

WHERE PhoneNumber LIKE '%800%'

But that could match more than you bargained for as numbers such as 1-248-703-9800 could also match. So, you could refine the search to be more specific.

WHERE PhoneNumber LIKE '%(800)%'
      OR PhoneNumber LIKE '%800 %'

To match numbers such as (800) 555-1212 or 1-800 555-1212; however, this could backfire, as now numbers such as 1-800-555-1212 wouldn’t match, of course you could catch this with additional match terms.  The final result would be:

WHERE PhoneNumber LIKE '%(800)%'
      OR PhoneNumber LIKE '%800 %'
      OR PhoneNumber LIKE '%800-%'

Matching a Social Security Number

You may have a situation where you wish to retrieve all government ID’s matching the pattern of a US social security ID.  In order to do this match you could use the following

WHERE GovernmentID LIKE '___-__-____'

This would match numbers such as ‘123-12-1234′, but not ’12-12-12’ If you were looking to find all ID’s that didn’t match a social security number you could write your query as:

WHERE GovernmentID NOT LIKE '___-__-____'


It’s important to practice! Use the sample database to answer these questions.

  1. Find all Employees that have marketing in their title
  2. Select all persons whose street address is on a drive.  Hint – There are two forms of Drive:  Dr. and Drive.
  3. Select all products whose product number’s numeric portion starts with 7.  Hint – The product number’s format is AA-9999.

Answers are Here!

Congratulations!  You just learned how to use multiple conditions to create more sophisticated filtering conditions. More tutorials are to follow! Remember!  I want to remind you all that if you have other questions you want answered, then post a comment or tweet me.  I’m here to help you. What other topics would you like to know more about?

About the author 

Kris Wenzel

Kris Wenzel has been working with databases over the past 30 years as a developer, analyst, and DBA. He has a BSE in Computer Engineering from the University of Michigan and a MBA from the University of Notre Dame. Kris has written hundreds of blog articles and many online courses. He loves helping others learn SQL.

  • Why in your example above:

    SELECT NationalIDNumber,
    FROM HumanResources.Employee
    WHERE Employee.JobTitle LIKE ‘%manager%’
    AND Employee.Gender = ‘F’

    Do you use Employee.JobTitle (rather than just JobTitle) and Employee.Gender (rather than just Gender)?

    • That’s a good question Drew.

      To be honest, in this example, since there is only one table in the query, there is no need to put Employee in front of the column names.

      I suppose the reason I did was out of habit.

      Once you start using joins or subqueries, you have more than one table in the query, and if those tables have columns with the same names, it can get tricky. At that point, I usually always include the table name to be safe.

  • {"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}


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