MySQL - UTC_TIME() 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 UTC_TIME() function is used to get the current time. The resultant value is a string or a numerical value based on the context and, the time returned will be in the 'hh:mm:ss' or hhmmss format.

Syntax

Following is the syntax of the above function –

UTC_TIME([fsp]);

Example 1

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

mysql> SELECT UTC_TIME();
+------------+
| UTC_TIME() |
+------------+
| 15:01:17   |
+------------+
1 row in set (0.00 sec)

Example 2

Following is an example of this function in numerical context –

mysql> SELECT UTC_TIME()+0;
+--------------+
| UTC_TIME()+0 |
+--------------+
| 150133       |
+--------------+
1 row in set (0.00 sec)

Example 3

You can add seconds to the current time as shown below –

mysql> SELECT UTC_TIME()+12;
+---------------+
| UTC_TIME()+12 |
+---------------+
| 150234        |
+---------------+
1 row in set (0.00 sec)

Example 4

We can also subtract the desired number of seconds from the current time using this function –

mysql> SELECT UTC_TIME()-22213;
+------------------+
| UTC_TIME()-22213 |
+------------------+
| 128097           |
+------------------+
1 row in set (0.00 sec)

Example 5

You can use UTC_TIME instead of UTC_TIME() to retrieve the current time.

mysql> SELECT UTC_TIME;
+----------+
| UTC_TIME |
+----------+
| 15:04:49 |
+----------+
1 row in set (0.00 sec)

mysql> SELECT UTC_TIME+0;
+------------+
| UTC_TIME+0 |
+------------+
| 150456     |
+------------+
1 row in set (0.00 sec)

Example 6

This function accepts an optional argument i.e. fsp, using this you can specify the number of digits you need after the fraction for seconds.

mysql> SELECT UTC_TIME(5);
+----------------+
| UTC_TIME(5)    |
+----------------+
| 15:05:44.38072 |
+----------------+
1 row in set (0.00 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');

Following is another example of this function —

mysql> SELECT ProductName, CustomerName, DispatchDate, Price, DATEDIFF(UTC_DATE, DispatchDate) as difference_in_days, TIMEDIFF(UTC_TIME, DispatchTime) as time_difference FROM sales;
+-------------+--------------+--------------+-------+--------------------+-----------------+
| ProductName | CustomerName | DispatchDate | Price | difference_in_days | time_difference |
+-------------+--------------+--------------+-------+--------------------+-----------------+
| Key-Board   | Raja         | 2019-09-01   | 7000  | 686                | 04:06:35        |
| Earphones   | Roja         | 2019-05-01   | 2000  | 809                | 04:06:35        |
| Mouse       | Puja         | 2019-03-01   | 3000  | 870                | 04:06:36        |
| Mobile      | Vanaja       | 2019-03-01   | 9000  | 870                | 04:55:43        |
| Headset     | Jalaja       | 2019-04-06   | 6000  | 834                | 03:57:36        |
+-------------+--------------+--------------+-------+--------------------+-----------------+
5 rows in set (0.07 sec)

Example 8

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

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

Following query calculates and displays the remaining number of days and time for the subscription to complete —

mysql> SELECT SubscriberName, PackageName, DATEDIFF(UTC_DATE, SubscriptionDate) as RemainingDays, TIMEDIFF(UTC_TIME, SubscriptionTime) as RemainingTime FROM SubscribersData;
+----------------+-------------+---------------+---------------+
| SubscriberName | PackageName | RemainingDays | RemainingTime |
+----------------+-------------+---------------+---------------+
| Raja           | Premium     | 270           | -05:43:20     |
| Roja           | Basic       | 234           | 04:57:10      |
| Puja           | Moderate    | 133           | 09:27:09      |
| Vanaja         | Basic       | 147           | -01:26:10     |
| Jalaja         | Premium     | 169           | 02:24:44      |
+----------------+-------------+---------------+---------------+
5 rows in set (0.00 sec)