The MySQL %
operator is used to find the remainder of the division between two numbers. This operator is essential for performing arithmetic calculations where you need the remainder.
SELECT column1 % column2 AS result
FROM table_name;
The %
operator has the following components:
column1
: The numerator column or value.column2
: The denominator column or value.result
: An alias for the resulting value.table_name
: The name of the table from which to retrieve the data.Let's look at some examples of the MySQL %
operator:
USE mydatabase;
This query sets the context to the database named mydatabase
.
Create a table to work with:
CREATE TABLE employees (
id INT AUTO_INCREMENT PRIMARY KEY,
total_hours INT NOT NULL,
days_worked INT NOT NULL
);
This query creates a table named employees
with columns for id
, total_hours
, and days_worked
.
Insert some initial rows into the table:
INSERT INTO employees (total_hours, days_worked)
VALUES (160, 7),
(150, 6),
(130, 5);
This query inserts three rows into the employees
table.
Find the remainder when dividing one column by another and display the result:
SELECT total_hours % days_worked AS hours_remainder
FROM employees;
This query finds the remainder when dividing the total_hours
column by the days_worked
column and displays the result as hours_remainder
.
Find the remainder when dividing a column by a constant value:
SELECT total_hours % 5 AS remainder_five
FROM employees;
This query finds the remainder when dividing the total_hours
column by a constant value of 5, displaying the result as remainder_five
.
Find the remainder with multiple columns and display the result:
SELECT (total_hours % days_worked) % 3 AS adjusted_remainder
FROM employees;
This query finds the remainder when dividing the total_hours
column by the days_worked
column and then finds the remainder when that result is divided by 3, displaying the result as adjusted_remainder
.
The MySQL %
operator is a powerful tool for performing arithmetic calculations in SQL queries. Understanding how to use the %
operator is essential for effective data manipulation and analysis in MySQL.