![]() When comparing strings, the equals operator compares whole strings. So, what is the difference between using LIKE and equals? Equals (=) is a comparison operator that operates on numbers and strings. For simple cases like this, we could have also written: This is a simple use case for the LIKE operator. Let’s use the LIKE operator to extract the information for people with the last name “Peterson”.Įxecuting this SQL query would yield the following result set: FirstName Imagine we have a table called person_info containing information about people’s first name, last name, and age. Let’s apply this syntax to a practical example. Let’s examine how we can use the LIKE operator to filter the data returned, thereby retrieving only the desired records. If you would like to further advance your skills in this area, consider enrolling in this comprehensive, complete learning track from, where you will practice SQL JOINs, aggregations with GROUP BY, and more advanced topics. This article will give you a strong foundation in the LIKE operator. Becoming proficient in using the LIKE operator will allow you to parse through large databases with ease, and retrieve exactly the data you need. The LIKE operator is often used in the WHERE clause of SELECT, DELETE, and UPDATE statements to filter data based on patterns. A simple example of this is when you try to find if a name column contains any four-letter name starting with J (such as “John”). The SQL LIKE is a logical operator that checks whether or not a string contains a specified pattern. Gaining an understanding of these operators will allow you to write better queries and demonstrate to potential employers that you have the skills required to filter through expansive data sets. They are part of standard SQL and work across all database types, making it essential knowledge for all SQL users. Here we take the example of “Library.” The table of “Library” contains the data that is stored in 6 different columns.The SQL LIKE and NOT LIKE operators are used to find matches between a string and a given pattern. ![]() We will create a table by using the “CREATE” table. After creating a new database, the New Table would be created for every database.” Create a Table We create New Database by tapping the option “New Database” from the main bar, which is on the top of the screen. ![]() In this article, we are going to see the methods of using the SQLite LIKE operator to retrieve records based on pattern matches.įor running SQLite queries, we have installed “DB Browser for SQLite.” The first step is to create a New Database.
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