Boolean - MySQL Conditions

In MySQL, boolean values are represented by the keywords TRUE and FALSE. In this tutorial, we'll cover how to use boolean values in MySQL conditions.

Syntax

The syntax for using boolean values in MySQL conditions is as follows:

SELECT * FROM table_name WHERE boolean_column = TRUE/FALSE;

Here, we're selecting all rows from a table where the boolean_column is equal to either TRUE or FALSE.

Example

Let's say we have a table called employees with columns for id, name, and is_manager that stores information about employees. Here's an example of how we can select all rows where is_manager is set to TRUE:

SELECT * FROM employees WHERE is_manager = TRUE;

This query will return all rows where the is_manager column is set to TRUE.

Output

When we run the example query above, the output will be a list of all rows where the is_manager column is set to TRUE.

Explanation

In the example above, we use a MySQL condition to select all rows from the employees table where the is_manager column is set to TRUE. By using TRUE as the comparison value, we're telling MySQL to select all rows where the condition is true.

Use

Boolean values are commonly used in MySQL conditions to filter rows based on specific criteria. For example, you might use a boolean column to store information about whether an employee is a manager or not, and then use a condition to select only the rows where is_manager is set to TRUE.

Important Points

• Boolean values in MySQL are represented using the keywords TRUE and FALSE.
• When using boolean values in MySQL conditions, you should use the = operator instead of LIKE.
• Be careful when using boolean values in queries that are being generated dynamically, as you may need to use different syntax depending on the programming language you're using.

Summary

In this tutorial, we covered how to use boolean values in MySQL conditions. We discussed the syntax, example, output, explanation, use, and important points of using boolean values to filter rows in MySQL. With this knowledge, you can now use boolean values to create more complex and precise database queries.