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MySQL - DAYOFWEEK() Function
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 DAYOFWEEK() function is used to retrieve the index of the weekday of the given date. This function returns a numerical value which can be either one of the following: 1 for Sunday, 2 for Monday, 3 for Tuesday, 4 for Wends day, 5 for Thursday, 6 for Friday, 7 for Saturday respectively.
Syntax
Following is the syntax of the above function –
DAYOFWEEK(date);
Where, date is the date value from which you need to extract the day of the week (index).
Example 1
Following example demonstrates the usage of the DAYOFWEEK() function –
mysql> SELECT DAYOFWEEK('2019-05-25'); +-------------------------+ | DAYOFWEEK('2019-05-25') | +-------------------------+ | 7 | +-------------------------+ 1 row in set (0.02 sec)
Example 2
Following is another example of this function –
mysql> SELECT DAYOFWEEK('1998-11-21'); +-------------------------+ | DAYOFWEEK('1998-11-21') | +-------------------------+ | 7 | +-------------------------+ 1 row in set (0.00 sec)
Example 3
If the day part in the given date is 0 this function returns NULL —
mysql> SELECT DAYOFWEEK('2017-00-00'); +-------------------------+ | DAYOFWEEK('2017-00-00') | +-------------------------+ | NULL | +-------------------------+ 1 row in set, 1 warning (0.00 sec) mysql> SELECT DAYOFWEEK('1789-02-00'); +-------------------------+ | DAYOFWEEK('1789-02-00') | +-------------------------+ | NULL | +-------------------------+ 1 row in set, 1 warning (0.00 sec)
Example 4
If you pass an empty string or a non-string value as an argument this function returns NULL.
mysql> SELECT DAYOFWEEK(''); +---------------+ | DAYOFWEEK('') | +---------------+ | NULL | +---------------+ 1 row in set, 1 warning (0.00 sec) mysql> SELECT DAYOFWEEK(1990-11-11); +-----------------------+ | DAYOFWEEK(1990-11-11) | +-----------------------+ | NULL | +-----------------------+ 1 row in set, 1 warning (0.00 sec)
Example 5
We can also pass the date-time expression as an argument to this function –
mysql> SELECT DAYOFWEEK('2015-09-05 09:40:45.2300'); +---------------------------------------+ | DAYOFWEEK('2015-09-05 09:40:45.2300') | +---------------------------------------+ | 7 | +---------------------------------------+ 1 row in set (0.00 sec)
Example 6
In the following example we are retrieving weekday index from the current date —
mysql> SELECT DAYOFWEEK(CURDATE()); +----------------------+ | DAYOFWEEK(CURDATE()) | +----------------------+ | 3 | +----------------------+ 1 row in set (0.00 sec)
Example 7
In the following example we are retrieving the weekday index from the current timestamp —
mysql> SELECT DAYOFWEEK(CURRENT_TIMESTAMP()); +--------------------------------+ | DAYOFWEEK(CURRENT_TIMESTAMP()) | +--------------------------------+ | 3 | +--------------------------------+ 1 row in set (0.00 sec)
Example 8
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 extracts the weekday index from all the entities of the Date_Of_Birth column of the table MyPlayers —
mysql> SELECT First_Name, Last_Name, Date_Of_Birth, Country, DAYOFWEEK(Date_Of_Birth) FROM MyPlayers; +------------+------------+---------------+-------------+--------------------------+ | First_Name | Last_Name | Date_Of_Birth | Country | DAYOFWEEK(Date_Of_Birth) | +------------+------------+---------------+-------------+--------------------------+ | Shikhar | Dhawan | 1981-12-05 | India | 7 | | Jonathan | Trott | 1981-04-22 | SouthAfrica | 4 | | Kumara | Sangakkara | 1977-10-27 | Srilanka | 5 | | Virat | Kohli | 1988-11-05 | India | 7 | | Rohit | Sharma | 1987-04-30 | India | 5 | | Ravindra | Jadeja | 1988-12-06 | India | 3 | | James | Anderson | 1982-06-30 | England | 4 | +------------+------------+---------------+-------------+--------------------------+ 7 rows in set (0.00 sec)
Example 9
Suppose we have created a table named dispatches_data with 5 records in it using the following queries –
mysql> CREATE TABLE dispatches_data( ProductName VARCHAR(255), CustomerName VARCHAR(255), DispatchTimeStamp timestamp, Price INT, Location VARCHAR(255) ); insert into dispatches_data values('Key-Board', 'Raja', TIMESTAMP('2019-05-04', '15:02:45'), 7000, 'Hyderabad'); insert into dispatches_data values('Earphones', 'Roja', TIMESTAMP('2019-06-26', '14:13:12'), 2000, 'Vishakhapatnam'); insert into dispatches_data values('Mouse', 'Puja', TIMESTAMP('2019-12-07', '07:50:37'), 3000, 'Vijayawada'); insert into dispatches_data values('Mobile', 'Vanaja' , TIMESTAMP ('2018-03-21', '16:00:45'), 9000, 'Chennai'); insert into dispatches_data values('Headset', 'Jalaja' , TIMESTAMP('2018-12-30', '10:49:27'), 6000, 'Goa');
Following query retrieves the day of the weekday index values from the DispatchTimeStamp column —
mysql> SELECT ProductName, CustomerName, DispatchTimeStamp, Price, DAYOFWEEK(DispatchTimeStamp) FROM dispatches_data; +-------------+--------------+---------------------+-------+------------------------------+ | ProductName | CustomerName | DispatchTimeStamp | Price | DAYOFWEEK(DispatchTimeStamp) | +-------------+--------------+---------------------+-------+------------------------------+ | Key-Board | Raja | 2019-05-04 15:02:45 | 7000 | 7 | | Earphones | Roja | 2019-06-26 14:13:12 | 2000 | 4 | | Mouse | Puja | 2019-12-07 07:50:37 | 3000 | 7 | | Mobile | Vanaja | 2018-03-21 16:00:45 | 9000 | 4 | | Headset | Jalaja | 2018-12-30 10:49:27 | 6000 | 1 | +-------------+--------------+---------------------+-------+------------------------------+ 5 rows in set (0.00 sec)
Example 10
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'));
Following query retrieves and displays the weekday index of subscription for all the users —
mysql> SELECT SubscriberName, PackageName, SubscriptionTimeStamp, DAYOFWEEK(SubscriptionTimeStamp) FROM SubscriberDetails; +----------------+-------------+-----------------------+----------------------------------+ | SubscriberName | PackageName | SubscriptionTimeStamp | DAYOFWEEK(SubscriptionTimeStamp) | +----------------+-------------+-----------------------+----------------------------------+ | Ram | Premium | 2020-10-21 20:53:49 | 4 | | Rahman | Basic | 2020-11-26 10:13:19 | 5 | | Robert | Moderate | 2021-03-07 05:43:20 | 1 | | Radha | Basic | 2021-02-21 16:36:39 | 1 | | Rajiya | Premium | 2021-01-30 12:45:45 | 7 | +----------------+-------------+-----------------------+----------------------------------+ 5 rows in set (0.00 sec)