The Ultimate Guide to MySQL Logical Operators – Everything You Need to Know


Managing information efficiently is crucial for businesses and developers in the modern data-driven world. MySQL is a user-friendly RDBMS that simplifies database management.

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Like other database management systems, MySQL offers logical operators for performing operations on conditions and expressions. These operators are often used in the WHERE clause of SQL queries to filter and retrieve data based on specified conditions.


The AND operator, known as the boolean equals, compares data based on two Boolean expressions. It is commonly used in the WHERE clause to filter results based on specific conditions. The NOT operator negates a Boolean expression, and the LIKE operator queries data based on a pattern. The AND operator returns true if both of the specified conditions are true. It combines multiple conditions, which must be satisfied for the overall expression to be true.

These MySQL functions let you manipulate your database data effectively.

MySQL is one of the world’s most popular relational database management systems. Its flexibility and user-friendliness make it an essential tool for developers and businesses.


OR is a logical operator that combines conditions to return a boolean value. It can be used with SELECT, INSERT, UPDATE, or DELETE statements. The AND operator can remove the multiple OR conditions from a query. The OR operator returns true if at least one of the specified conditions is true. It combines multiple conditions, and at least one condition must be satisfied for the overall expression to be evaluated to be true.

MySQL is a widely used open-source RDBMS. This widely-used tool helps developers store and access large amounts of data in a structured way.

It’s easy to see why it’s become so ubiquitous in modern tech. However, mastering it has its challenges.


MySQL’s flexibility and user-friendliness make it a go-to for developers and businesses looking to harness the power of data effectively.

However, it’s essential to understand how to use MySQL to be more effective in your work. This guide walks you through all the MySQL logical operators like AND, OR, and NOT, with clear explanations and examples to help you learn. The NOT operator negates the result of a condition, returning true if the condition is false and false if the condition is true. It is used to exclude rows that meet a specific condition.

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Logical operators are essential components of SQL statements that can be coupled to create complex data filtering conditions. They can combine Boolean expressions in a WHERE clause and serve as conjunctions for multiple conditions in a query.

The BETWEEN operator allows you to quickly test if an expression falls within a range of values. It can be used with SELECT, WHERE, and HAVING statements to filter results based on an interval of values. The BETWEEN operator checks if a value falls within a specified range. It is used to filter rows based on a range of values.

Table and column aliases allow you to reference tables without having to reference their actual names in SQL statements. JOINs allow you to connect rows between multiple tables based on typical conditions. GROUP BY generates grouping sets by combining columns into hierarchies based on specific criteria. SQL Date functions provide useful temporal functions for effectively handling date and time data. Finally, the INSERT and DELETE statement allows you to update and insert database data.


MySQL is a critical tool for harnessing and managing vast data in today’s tech world. But it can be intimidating to newcomers to the field. This course teaches you how to create, insert, and query multiple tables with clear explanations and practical examples.

Learn the most critical SQL date functions to work with time data effectively. Plus, explore the control flow functions that add if-then logic to queries without using procedural code.

Logical operators are used with Boolean expressions to perform logical operations on database data. They can be an AND, OR, or NOT statement. In addition to these logical operators, several other comparison and boolean functions are available. These logical functions return a boolean value: TRUE, FALSE, or UNKNOWN.


Using subqueries can make your SQL queries more flexible. However, they can also create some readability issues if you don’t use indenting and strong naming conventions to differentiate code functionality.

When using subqueries, it’s essential to understand that the inner query’s result set depends on the outer query’s result set. This is why they’re often called nested queries.

Let’s say you have a table that contains employee data and want to find out who has the highest salary. To do this, you would execute a subquery that selects the maximum salary from the employee table. Then, you would use the WHERE clause of the main query to filter for employees with a salary more significant than this value. This is an example of a correlated subquery.