The Ultimate Guide To MySQL DATE and Date Functions

The Ultimate Guide To MySQL DATE and Date Functions

 The Ultimate Guide To MySQL DATE and Date Functions



Summary: in this tutorial, we will introduce you to the MySQL DATE datatype and show you some useful data functions to handle the date data effectively.

Introduction to MySQL DATE data type

MySQL DATE is one of the five temporal data types used for managing data values. MySQL uses yyyy-mm-dd a format for storing a date value. This format is fixed and it is not possible to change it.

For example, you may prefer to use mm-dd-yyyy format but you can’t. Instead, you follow the standard date format and use the DATE_FORMAT function to format the date the way you want.

MySQL uses 3 bytes to store a DATE value. The DATE values range from 1000-01-01 to 9999-12-31. If you want to store a date value that is out of this range, you need to use a non-temporal data type like integer e.g., three columns, and each column for the year, month, and day. You also need to create stored functions to simulate the built-in date functions provided by MySQL, which is not recommended.

When strict mode is disabled, MySQL converts an invalid date e.g., 2015-02-30 to the zero date value 0000-00-00.

MySQL Date values with two-digit years

MySQL stores the year of the date value using four digits. In case you use two-digit year values, MySQL still accepts them with the following rules:

  • Year values in the range 00-69 are converted to 2000-2069.
  • Year values in the range 70-99 are converted to 1970 – 1999.

However, a date value with two digits is ambiguous therefore you should avoid using it.

Let’s take a look at the following example.

First, create a table named people with a birth date column with DATE datatype.

CREATE TABLE people ( id INT AUTO_INCREMENT PRIMARY KEY, first_name VARCHAR(50) NOT NULL, last_name VARCHAR(50) NOT NULL, birth_date DATE NOT NULL );

Next, insert a row into the people table.

INSERT INTO people(first_name,last_name,birth_date) VALUES('John','Doe','1990-09-01');

Then, query the data from the people table.

SELECT first_name, last_name, birth_date FROM people;

After that, use the two-digit year format to insert data into the people table.

INSERT INTO people(first_name,last_name,birth_date) VALUES('Jack','Daniel','01-09-01'), ('Lily','Bush','80-09-01');

In the first row, we used 01 (range 00-69) as the year, so MySQL converted it to 2001. In the second row, we used 80 (range 70-99) as the year, MySQL converted it to 1980.

Finally, we can query data from the people table to check whether data was converted based on the conversion rules.

SELECT first_name, last_name, birth_date FROM people;

MySQL DATE functions

MySQL provides many useful data functions that allow you to manipulate data effectively.

To get the current date and time, you use NOW() the function.

SELECT NOW();
+---------------------+ | NOW() | +---------------------+ | 2017-05-13 07:59:38 | +---------------------+ 1 row in set (0.02 sec)

To get only date part of a DATETIME value, you use the DATE() function.

SELECT DATE(NOW());
+-------------+ | DATE(NOW()) | +-------------+ | 2015-07-13 | +-------------+ 1 row in set (0.01 sec)

To get the current system date, you use  CURDATE() function as follows:

SELECT CURDATE();
+------------+ | CURDATE() | +------------+ | 2015-07-13 | +------------+ 1 row in set (0.02 sec)

To format a date value, you use  DATE_FORMAT function. The following statement formats the date asmm/dd/yyyy using the date format pattern %m/%d/%Y :

SELECT DATE_FORMAT(CURDATE(), '%m/%d/%Y') today;
+------------+ | today | +------------+ | 07/13/2015 | +------------+ 1 row in set (0.02 sec)

To calculate the number of days between two date values, you use the DATEDIFF function as follows:

SELECT DATEDIFF('2015-11-04','2014-11-04') days;
+------+ | days | +------+ | 365 | +------+ 1 row in set (0.02 sec)

To add a number of days, weeks, months, years, etc., to a date value, you use the DATE_ADD function:

SELECT '2015-01-01' start, DATE_ADD('2015-01-01', INTERVAL 1 DAY) 'one day later', DATE_ADD('2015-01-01', INTERVAL 1 WEEK) 'one week later', DATE_ADD('2015-01-01', INTERVAL 1 MONTH) 'one month later', DATE_ADD('2015-01-01', INTERVAL 1 YEAR) 'one year later';

Similarly, you can subtract an interval from a date using the DATE_SUB function:

SELECT '2015-01-01' start, DATE_SUB('2015-01-01', INTERVAL 1 DAY) 'one day before', DATE_SUB('2015-01-01', INTERVAL 1 WEEK) 'one week before', DATE_SUB('2015-01-01', INTERVAL 1 MONTH) 'one month before', DATE_SUB('2015-01-01', INTERVAL 1 YEAR) 'one year before';

If you want to get the day, month, quarter, and year of a date value, you can use the corresponding function DAYMONTHQUARTER, and YEAR as follows:

SELECT DAY('2000-12-31') day, MONTH('2000-12-31') month, QUARTER('2000-12-31') quarter, YEAR('2000-12-31') year;
+------+-------+---------+------+ | day | month | quarter | year | +------+-------+---------+------+ | 31 | 12 | 4 | 2000 | +------+-------+---------+------+ 1 row in set (0.00 sec)

To get the week information week-related functions. For example, WEEK the function returns the week number, WEEKDAY the function returns the weekday index, and WEEKOFYEAR the function returns the calendar week.

SELECT WEEKDAY('2000-12-31') weekday, WEEK('2000-12-31') week, WEEKOFYEAR('2000-12-31') weekofyear;
+---------+------+------------+ | weekday | week | weekofyear | +---------+------+------------+ | 6 | 53 | 52 | +---------+------+------------+ 1 row in set (0.04 sec)

The week function returns the week number with the zero-based index if you don’t pass the second argument or if you pass 0. If you pass 1, it will return the week number with 1-indexed.

SELECT WEEKDAY('2000-12-31') weekday, WEEK('2000-12-31',1) week, WEEKOFYEAR('2000-12-31') weekofyear;
+---------+------+------------+ | weekday | week | weekofyear | +---------+------+------------+ | 6 | 52 | 52 | +---------+------+------------+ 1 row in set (0.00 sec)

In this tutorial, you have learned about the MySQL DATE datatype and how to use some useful data functions to manipulate data values.

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