![]() ![]() ![]() We’ve walked you through several examples, in which you’ve learned: As you’ve seen, this operator can be used to retrieve values from textual columns which match a given pattern. In this post, we’ve covered the MySQL LIKE operator. Test out the LIKE operator in the sandbox below: Let’s rewrite the query to retrieve match the last name, but specify the “#” character as the escape character: SELECT * FROM students WHERE last_name LIKE '#_%' ESCAPE '#' Code language: SQL (Structured Query Language) ( sql )Īnd the result: + -+-+-+ Actually, you can pick your own escaping character using the ESCAPE instruction. As you can see above, it works like a charm.įinally, even though the backslash is the default escaping character, it’s not the only one. Since the student’s name ends with the percent character, first we include the wildcard and then the actual percentage character we’re trying to match, preceded by the escape character. Now, for the first name: mysql> SELECT * FROM students WHERE first_name LIKE '%\%' As you can see, adding the backslash tells MySQL to treat the underscore just like a normal character. + -+-+-+ Code language: SQL (Structured Query Language) ( sql ) In short, you’d typically use this operator when you need to retrieve potentially many rows that all have something in common, and such rows can’t be obtained through the use of the comparison operators ( >, SELECT * FROM students WHERE last_name LIKE '\_%' Retrieving all users who live at a certain street or district.Getting all email addresses that belong to a given domain.Retrieving all phone numbers that start with a given country calling code.You’ve already seen some examples in the introduction, but here’s a longer list of potential use cases for the LIKE operator: ![]() MySQL LIKE (and like in other database engines as well) is an SQL operator you use to match textual columns against certain patterns. What is the LIKE operator in MySQL, and why would you need it? I recommend using the CoderPad MySQL Sandbox to quickly and easily get started writing SQL as it’ll be your MySQL client for this article. You’ll need a local MySQL instance running and a way to connect to that instance to run commands. You should be fine if you have experience with some relational database, even if it’s not MySQL. Prerequisitesįor this post, I assume you have some familiarity with the SQL language. Before we get started, let’s review some requirements for the post. We’ll explain what exactly the MySQL LIKE operator, and what you need it for and show several practical usage examples. This post is a guide to using the LIKE operator in MySQL. If MySQL is your database, then the MySQL LIKE operator is the solution you need. You might need to get all customers whose last names start with a “B” or retrieve all products whose ids contain a certain numerical sequence. A super common task when working with databases is searching for a text string matching a given pattern. ![]()
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