MySQL - TO_DAYS() Function

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The DATE, DATETIME and TIMESTAMP datatypes in MySQL are used to store the date, date and time, time stamp values respectively. Where a time stamp is a numerical value representing the number of milliseconds from '1970-01-01 00:00:01' UTC (epoch) to the specified time. MySQL provides a set of functions to manipulate these values.

The MYSQL TO_DAYS() function accepts a date value as an argument and returns a numerical value representing the day number (the number of days since year 0).

Syntax

Following is the syntax of the above function –

TO_DAYS(date);

Where, date is the date value from which you need to get the day of the month.

Example 1

Following example demonstrates the usage of the TO_DAYS() function –

mysql> SELECT TO_DAYS('1898-03-22');
+-----------------------+
| TO_DAYS('1898-03-22') |
+-----------------------+
|                693311 |
+-----------------------+
1 row in set (0.00 sec)
mysql> SELECT TO_DAYS('2019-05-02');
+-----------------------+
| TO_DAYS('2019-05-02') |
+-----------------------+
|                737546 |
+-----------------------+
1 row in set (0.00 sec)

Example 2

Following is another example of this function –

mysql> SELECT TO_DAYS('2021-11-29');
+-----------------------+
| TO_DAYS('2021-11-29') |
+-----------------------+
| 738488                |
+-----------------------+
1 row in set (0.00 sec)

mysql> SELECT TO_DAYS('1996-11-22');
+-----------------------+
| TO_DAYS('1996-11-22') |
+-----------------------+
| 729350                |
+-----------------------+
1 row in set (0.00 sec)

Example 3

In the following example we are passing DATETIME value for date –

mysql> SELECT TO_DAYS('1987-3-12 12:35:58');
+-------------------------------+
| TO_DAYS('1987-3-12 12:35:58') |
+-------------------------------+
| 725807                        |
+-------------------------------+
1 row in set (0.00 sec)

mysql> SELECT TO_DAYS('2018-05-23 20:40:32');
+--------------------------------+
| TO_DAYS('2018-05-23 20:40:32') |
+--------------------------------+
| 737202                         |
+--------------------------------+
1 row in set (0.00 sec)

Example 4

Following query converts the current time to days –

mysql> SELECT TO_DAYS(CURDATE());
+--------------------+
| TO_DAYS(CURDATE()) |
+--------------------+
| 738356             |
+--------------------+
1 row in set (0.00 sec)

Example 5

We can also pass current timestamp values as arguments to this function –

mysql> SELECT TO_DAYS(CURRENT_TIMESTAMP());
+------------------------------+
| TO_DAYS(CURRENT_TIMESTAMP()) |
+------------------------------+
| 738356                       |
+------------------------------+
1 row in set (0.00 sec)

Example 6

You can also pass the column name as an argument to this function. Let us create a table with name MyPlayers in MySQL database using CREATE statement as shown below –

mysql> CREATE TABLE MyPlayers(
	ID INT,
	First_Name VARCHAR(255),
	Last_Name VARCHAR(255),
	Date_Of_Birth date,
	Place_Of_Birth VARCHAR(255),
	Country VARCHAR(255),
	PRIMARY KEY (ID)
);

Now, we will insert 7 records in MyPlayers table using INSERT statements −

mysql> insert into MyPlayers values(1, 'Shikhar', 'Dhawan', DATE('1981-12-05'), 'Delhi', 'India');
mysql> insert into MyPlayers values(2, 'Jonathan', 'Trott', DATE('1981-04-22'), 'CapeTown', 'SouthAfrica');
mysql> insert into MyPlayers values(3, 'Kumara', 'Sangakkara', DATE('1977-10-27'), 'Matale', 'Srilanka');
mysql> insert into MyPlayers values(4, 'Virat', 'Kohli', DATE('1988-11-05'), 'Delhi', 'India');
mysql> insert into MyPlayers values(5, 'Rohit', 'Sharma', DATE('1987-04-30'), 'Nagpur', 'India');
mysql> insert into MyPlayers values(6, 'Ravindra', 'Jadeja', DATE('1988-12-06'), 'Nagpur', 'India');
mysql> insert into MyPlayers values(7, 'James', 'Anderson', DATE('1982-06-30'), 'Burnley', 'England');

Following query converts the date of birth values of all the players into days and prints them –

mysql> SELECT First_Name, Last_Name, Date_Of_Birth, Country, TO_DAYS(Date_Of_Birth) as days FROM MyPlayers;
+------------+------------+---------------+-------------+--------+
| First_Name | Last_Name  | Date_Of_Birth | Country     | days   |
+------------+------------+---------------+-------------+--------+
| Shikhar    | Dhawan     | 1981-12-05    | India       | 723884 |
| Jonathan   | Trott      | 1981-04-22    | SouthAfrica | 723657 |
| Kumara     | Sangakkara | 1977-10-27    | Srilanka    | 722384 |
| Virat      | Kohli      | 1988-11-05    | India       | 726411 |
| Rohit      | Sharma     | 1987-04-30    | India       | 725856 |
| Ravindra   | Jadeja     | 1988-12-06    | India       | 726442 |
| James      | Anderson   | 1982-06-30    | England     | 724091 |
+------------+------------+---------------+-------------+--------+
7 rows in set (0.08 sec)

Example 7

Let us create another table with name Sales in MySQL database using CREATE statement as follows –

mysql> CREATE TABLE sales(
	ID INT,
	ProductName VARCHAR(255),
	CustomerName VARCHAR(255),
	DispatchDate date,
	DispatchTime time,
	Price INT,
	Location VARCHAR(255)
);
Query OK, 0 rows affected (2.22 sec)

Now, we will insert 5 records in Sales table using INSERT statements −

insert into sales values (1, 'Key-Board', 'Raja', DATE('2019-09-01'), TIME('11:00:00'), 7000, 'Hyderabad');
insert into sales values (2, 'Earphones', 'Roja', DATE('2019-05-01'), TIME('11:00:00'), 2000, 'Vishakhapatnam');
insert into sales values (3, 'Mouse', 'Puja', DATE('2019-03-01'), TIME('10:59:59'), 3000, 'Vijayawada');
insert into sales values (4, 'Mobile', 'Vanaja', DATE('2019-03-01'), TIME('10:10:52'), 9000, 'Chennai');
insert into sales values (5, 'Headset', 'Jalaja', DATE('2019-04-06'), TIME('11:08:59'), 6000, 'Goa');

In the following query we are passing the column (name) DispatchDate as an argument of this function –

mysql> SELECT ProductName, CustomerName, DispatchDate, DispatchTime, Price, TO_DAYS(DispatchDate) as Days FROM sales;
+-------------+--------------+--------------+--------------+-------+--------+
| ProductName | CustomerName | DispatchDate | DispatchTime | Price | Days   |
+-------------+--------------+--------------+--------------+-------+--------+
| Key-Board   | Raja         | 2019-09-01   | 11:00:00     | 7000  | 737668 |
| Earphones   | Roja         | 2019-05-01   | 11:00:00     | 2000  | 737545 |
| Mouse       | Puja         | 2019-03-01   | 10:59:59     | 3000  | 737484 |
| Mobile      | Vanaja       | 2019-03-01   | 10:10:52     | 9000  | 737484 |
| Headset     | Jalaja       | 2019-04-06   | 11:08:59     | 6000  | 737520 |
+-------------+--------------+--------------+--------------+-------+--------+
5 rows in set (0.00 sec)

Example 8

Suppose we have created a table named SubscriberDetails with 5 records in it using the following queries –

mysql> CREATE TABLE SubscriberDetails (
	SubscriberName VARCHAR(255),
	PackageName VARCHAR(255),
	SubscriptionTimeStamp timestamp
);
insert into SubscriberDetails values('Raja', 'Premium', TimeStamp('2020-10-21 20:53:49'));
insert into SubscriberDetails values('Roja', 'Basic', TimeStamp('2020-11-26 10:13:19'));
insert into SubscriberDetails values('Puja', 'Moderate', TimeStamp('2021-03-07 05:43:20'));
insert into SubscriberDetails values('Vanaja', 'Basic', TimeStamp('2021-02-21 16:36:39'));
insert into SubscriberDetails values('Jalaja', 'Premium', TimeStamp('2021-01-30 12:45:45'));

We can also pass the values of Timestamp as an argument of this function.

mysql> SELECT SubscriberName, PackageName, SubscriptionTimeStamp, TO_DAYS(SubscriptionTimeStamp) AS Days FROM SubscriberDetails;
+----------------+-------------+-----------------------+--------+
| SubscriberName | PackageName | SubscriptionTimeStamp | Days   |
+----------------+-------------+-----------------------+--------+
| Raja           | Premium     | 2020-10-21 20:53:49   | 738084 |
| Roja           | Basic       | 2020-11-26 10:13:19   | 738120 |
| Puja           | Moderate    | 2021-03-07 05:43:20   | 738221 |
| Vanaja         | Basic       | 2021-02-21 16:36:39   | 738207 |
| Jalaja         | Premium     | 2021-01-30 12:45:45   | 738185 |
+----------------+-------------+-----------------------+--------+
5 rows in set (0.00 sec)