Setup an Environment
--Make the 'employees' table
CREATE TABLE employees (
employee_id INT,
first_name VARCHAR(50),
last_name VARCHAR(50),
department VARCHAR(50),
salary INT
);
-- Fill up the 'employees' table with some sample data.
INSERT INTO employees (employee_id, first_name, last_name, department, salary) VALUES
(1, 'Alice', 'Smith', 'Sales', 50000),
(2, 'Bob', 'Johnson', 'Marketing', 60000),
(3, 'Charlie', 'Brown', 'IT', 70000),
(4, 'David', 'Lee', 'Finance', 55000);
Output:
+-------------+------------+-----------+------------+--------+
| employee_id | first_name | last_name | department | salary |
+-------------+------------+-----------+------------+--------+
| 1 | Alice | Smith | Sales | 50000 |
| 2 | Bob | Johnson | Marketing | 60000 |
| 3 | Charlie | Brown | IT | 70000 |
| 4 | David | Lee | Finance | 55000 |
+-------------+------------+-----------+------------+--------+
How to use Relational Operators in MySQL
In the database management area, relational operators are the building blocks for data filtering and querying. MySQL, one of the most popular relational database management systems that are widely used across the world, features a wide range of relational operators that are highly efficient in handling and comparing data.
In this article, we will have a look at the role of relational operators in MySQL and ways in which developers can use them effectively and correctly.