Different Relational Operators in MySQL

MySQL enables the implementation of the relational operators which are used for the data comparison and serve their purposes separately. Some of the most commonly used relational operators include: Some of the most commonly used relational operators include

• Equal to (=): Equality operator compares if two values are equal. It is usually applied in WHERE clauses to winnow out rows whose value matches a corresponding value.

• Not equal to (!= or <>): Not equal to operator compares two values and returns true if they are not equal. It returns true if values are different. They can be used interchangeably.

• Greater than (>): The > (greater than) operator tests if the left operand is greater than the right operand. It is used to remove the rows where a column value is more than a predefined value.

• Less than (<): The less than sign checks whether the left operand is less than the right operand. It is one of the most popular operators to filter records where the value of a column is smaller than a specified one.

• Greater than or equal to (>=): The “greater than or equal to” operator looks at whether the left operand is greater than or equal to the right operand. It is used to filter the rows when the value of the column is greater than or equal to the given value.

• Less than or equal to (<=): The operator less than or equal to compares the left operand to the right operand to see if it is less than or equal to. It is meant for the elimination of the rows in which a column value is less than or equal to a certain value.

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.