#Mysql like on select how to#
#Mysql like on select code#

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.

#Mysql like on select code#

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.

#Mysql like on select how to#

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. LIKE is followed by a pattern that specifies the string you are looking for.WHERE specifies the search condition, which is the LIKE operator in this case.FROM specifies the table you are working with.SELECT selects the columns to retrieve from the table.In its most basic form, it will look somewhat like this: SELECT column_name(s) FROM table_name WHERE column_name LIKE pattern MySQL LIKE SyntaxĪs mentioned before, the MySQL LIKE operator is used to look for specific patterns within a string in a table.

In this article, we will provide the basic syntax for using LIKE, along with illustrated examples of how to apply it in queries using one of the best MySQL IDEs on the market - dbForge Studio for MySQL. Now, the time to shine has come for the LIKE conditional operator used to search for patterns in strings with the help of wildcard characters. We have been discussing various MySQL operators for quite some time now, including but not limited to the WHERE condition and SELECT statement.