How to add a time interval to a date value in MySQL 8

Updated: January 26, 2024 By: Guest Contributor Post a comment

Introduction

Working with date and time values is a critical aspect of many applications, from allocating tasks on a project management tool to logging transaction times in financial databases. MySQL 8 offers various functions to manipulate datetime values conveniently. One of the common operations includes adding a time interval to a specific date value. This tutorial will guide you on how to perform this action using MySQL 8 through multiple code examples, progressing from basic to advanced uses.

Understanding DATE and TIME in MySQL

Before diving into adding intervals to date values, it’s important to understand the DATE and TIME data types in MySQL. DATE type is used for values with a date part but no time part. On the other hand, TIME type stores time in hours, minutes, and seconds. MySQL’s DATETIME type stores both date and time information.

Basic Operations: The DATE_ADD Function

DATE_ADD is a function used to add a specified time interval to a date. Here is the syntax:

DATE_ADD(start_date, INTERVAL expr unit)

We specify the start date, followed by the keyword INTERVAL, then the value expressing the amount to add (expr), and finally the unit for the interval. Some of the common units include YEAR, MONTH, DAY, HOUR, MINUTE, and SECOND.

Example 1: Adding Days to a Date

SELECT DATE_ADD('2023-01-01', INTERVAL 10 DAY);

Output: ‘2023-01-11’

Example 2: Adding Months to a Date

SELECT DATE_ADD('2023-01-01', INTERVAL 2 MONTH);

Output: ‘2023-03-01’

Example 3: Adding Hours, Minutes, and Seconds

SELECT DATE_ADD('2023-01-01 08:30:00', INTERVAL '3:45' HOUR_MINUTE);

Output: ‘2023-01-01 12:15:00’

Using the ADDDATE() Function

An alternative to DATE_ADD is the ADDDATE() function, which has a similar syntax and can be used interchangeably:

ADDDATE(start_date, INTERVAL expr unit)

Example 4: ADDDATE() with DAY Interval

SELECT ADDDATE('2023-01-01', INTERVAL 15 DAY);

Output: ‘2023-01-16’

Combining Intervals

Sometimes you might want to add multiple intervals to a date. This can be accomplished by chaining DATE_ADD functions together.

Example 5: Adding Days and Months Together

SELECT DATE_ADD(DATE_ADD('2023-01-01', INTERVAL 15 DAY), INTERVAL 1 MONTH);

Output: ‘2023-02-16’

Adding Intervals with the ‘+’ Operator

In MySQL, you can also use the ‘+’ operator to add intervals to dates. This method is usually less verbose and can be more intuitive for simple operations.

Example 6: Adding Days with ‘+’ Operator

SELECT '2023-01-01' + INTERVAL 5 DAY;

Output: ‘2023-01-06’

Advanced Operations

Using Variables and Dynamic Intervals

You can make your queries more flexible by using variables for the interval and units.

Example 7: Dynamic Interval Addition

SET @daysToAdd = 10;
SELECT DATE_ADD('2023-01-01', INTERVAL @daysToAdd DAY);

Output: ‘2023-01-11’

Complex Interval Calculations

For more complex date manipulations, you can use expressions within the interval to add a combination of years, months, and days, for example.

Example 8: Adding a Complex Time Interval

SELECT DATE_ADD('2023-01-01', INTERVAL (YEAR(CURRENT_DATE) - YEAR('2023-01-01')) * 12 + MONTH(CURRENT_DATE) - MONTH('2023-01-01') MONTH) AS new_date;

(Assuming the current date is ‘2023-05-20’, Output: ‘2023-05-01’)

Handling Leap Years and Month-End Differences

MySQL’s date functions account for differences in the number of days per month and leap years. This means that if you add a month to January 31st, MySQL will return February 28th or February 29th, depending on whether it’s a leap year or not.

Example 9: Accounting for Month-End Differences

SELECT DATE_ADD('2023-01-31', INTERVAL 1 MONTH);

Output: ‘2023-02-28’

Conclusion

This tutorial provided several methods for adding time intervals to date values in MySQL 8. We covered the use of DATE_ADD function, chaining intervals, using ‘+’ operator, and handling advanced scenarios with variable intervals. Consistently using these techniques will help you manipulate datetime values effectively in your database.