This operator can be useful when we want to exclude specific data from the search results. Instead of retrieving data according to the specified pattern, it finds everything that does not match it. The MySQL NOT LIKE operator works in the opposite way to the LIKE comparison operator. Now we have the exact same output but with less ado in the query itself: MySQL NOT LIKE Syntax To optimize it, let us combine the (%) and (_) wildcards: SELECT * FROM product WHERE ProductNumber LIKE 'C_%' The previous query example works and retrieves exactly what we intended to. On executing the query, we see that the results include different kinds of categories, but all of them start with a C: MySQL LIKE: combining (%) and (_) wildcards In this case, we can use the underscore (_) wildcard to represent those characters in the pattern: SELECT * FROM product WHERE ProductNumber LIKE 'C_-_' For example, we need to find all the items under the C category, but we do not care about the rest of the characters. Each letter in the ProductNumber column denotes the category the item belongs to. Suppose all products in the table have a unique code consisting of two letters and four numbers separated by a dash. Let’s take the same product table as an example. When it follows the LIKE operator, it substitutes one or more characters in a pattern you are looking for. The next stop of our MySQL journey would be the (_) underscore wildcard. For example, to find all products that start with the letter M, execute this query: SELECT * FROM product WHERE name LIKE 'M%' Ĭonsequently, the query results include all the products that start with M: MySQL LIKE: (_) underscore wildcard The % wildcard can also be used to search for any number of characters in a particular position. We can use the % wildcard to match any characters before or after the word paint as follows: SELECT * FROM product WHERE Name LIKE '%paint%' Īs we can see, five matching records have been found: We want to find all products with paint in their name. Let us assume that there is a product table that contains product information, including its name. In MySQL, the percentage symbol % is used as a wildcard character following the LIKE operator to match any string of zero or more characters. We will explain how to use different wildcards individually and in combination, provide examples of the NOT LIKE syntax and case-insensitive search, and also cover how to use the UPDATE and DELETE commands with the LIKE operator. Now that we are done with the basics, let us get down to business and look into some close-to-real-life examples of the LIKE operator usage. MySQL LIKE: combining (%) and (_) wildcards. The pattern can include wildcards, which are special characters that can match any character or set of characters.
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