- SQL Tutorial
- SQL - Home
- SQL - Overview
- SQL - RDBMS Concepts
- SQL - Databases
- SQL - Syntax
- SQL - Data Types
- SQL - Operators
- SQL - Expressions
- SQL Database
- SQL - Create Database
- SQL - Drop Database
- SQL - Select Database
- SQL - Rename Database
- SQL - Show Databases
- SQL - Backup Database
- SQL Table
- SQL - Create Table
- SQL - Show Tables
- SQL - Rename Table
- SQL - Truncate Table
- SQL - Clone Tables
- SQL - Temporary Tables
- SQL - Alter Tables
- SQL - Drop Table
- SQL - Delete Table
- SQL - Constraints
- SQL Queries
- SQL - Insert Query
- SQL - Select Query
- SQL - Select Into
- SQL - Insert Into Select
- SQL - Update Query
- SQL - Delete Query
- SQL - Sorting Results
- SQL Views
- SQL - Create Views
- SQL - Update Views
- SQL - Drop Views
- SQL - Rename Views
- SQL Operators and Clauses
- SQL - Where Clause
- SQL - Top Clause
- SQL - Distinct Clause
- SQL - Order By Clause
- SQL - Group By Clause
- SQL - Having Clause
- SQL - AND & OR
- SQL - BOOLEAN (BIT) Operator
- SQL - LIKE Operator
- SQL - IN Operator
- SQL - ANY, ALL Operators
- SQL - EXISTS Operator
- SQL - CASE
- SQL - NOT Operator
- SQL - NOT EQUAL
- SQL - IS NULL
- SQL - IS NOT NULL
- SQL - NOT NULL
- SQL - BETWEEN Operator
- SQL - UNION Operator
- SQL - UNION vs UNION ALL
- SQL - INTERSECT Operator
- SQL - EXCEPT Operator
- SQL - Aliases
- SQL Joins
- SQL - Using Joins
- SQL - Inner Join
- SQL - Left Join
- SQL - Right Join
- SQL - Cross Join
- SQL - Full Join
- SQL - Self Join
- SQL - Delete Join
- SQL - Update Join
- SQL - Left Join vs Right Join
- SQL - Union vs Join
- SQL Keys
- SQL - Unique Key
- SQL - Primary Key
- SQL - Foreign Key
- SQL - Composite Key
- SQL - Alternate Key
- SQL Indexes
- SQL - Indexes
- SQL - Create Index
- SQL - Drop Index
- SQL - Show Indexes
- SQL - Unique Index
- SQL - Clustered Index
- SQL - Non-Clustered Index
- Advanced SQL
- SQL - Wildcards
- SQL - Comments
- SQL - Injection
- SQL - Hosting
- SQL - Min & Max
- SQL - Null Functions
- SQL - Check Constraint
- SQL - Default Constraint
- SQL - Stored Procedures
- SQL - NULL Values
- SQL - Transactions
- SQL - Sub Queries
- SQL - Handling Duplicates
- SQL - Using Sequences
- SQL - Auto Increment
- SQL - Date & Time
- SQL - Cursors
- SQL - Common Table Expression
- SQL - Group By vs Order By
- SQL - IN vs EXISTS
- SQL - Database Tuning
- SQL Function Reference
- SQL - Date Functions
- SQL - String Functions
- SQL - Aggregate Functions
- SQL - Numeric Functions
- SQL - Text & Image Functions
- SQL - Statistical Functions
- SQL - Logical Functions
- SQL - Cursor Functions
- SQL - JSON Functions
- SQL - Conversion Functions
- SQL - Datatype Functions
- SQL Useful Resources
- SQL - Questions and Answers
- SQL - Quick Guide
- SQL - Useful Functions
- SQL - Useful Resources
- SQL - Discussion
SQL - DATEDIFF() Function
The SQL DATEDIFF() function is an in-built function in SQL that is used to return the difference (as a signed integer value) between two dates or times.
This function accepts three parameters − the type of interval to measure (such as year, quarter, month, hour, minute, etc.), the start date or time that specifies the beginning of the period to measure, and the end date or time that specifies the end of the period to measure.
This function returns the difference in a 32-bit int data type, that can store values up to 2,147,483,647.
Syntax
Following is the syntax of the SQL DATEDIFF() function −
DATEDIFF(datepart, date1, date2)
Parameters
This function accepts three parameters. The same is described below −
datepart − This specifies the type of (date or time) segment to return. The following are the possible values −
- year, yyyy, yy = Year
- quarter, qq, q = Quarter
- month, mm, m = Month
- dayofyear, dy, y = Day of the year
- day, dd, d = Day
- week, ww, wk = Week
- weekday, dw, w = Weekday
- hour, hh = Hour
- minute, mi, n = Minute
- second, ss, s = Second
- millisecond, ms = Millisecond
- date1, date2 − These specify the two dates that we want to compare.
Example
We can calculate the difference between two date values in years using the following query −
SQL> SELECT DATEDIFF(YEAR, '2023/03/15', '2033/02/15') AS DATE_DIFF_IN_YEARS;
Output
When we execute the above query, the output is obtained as follows −
+--------------------+ | DATE_DIFF_IN_YEARS | +--------------------+ | 10 | +--------------------+
Example
Here, we are calculating the difference between two date values in quarters using the following query −
SQL> SELECT DATEDIFF(QUARTER, '2023/03/15', '2024/02/15') AS DATE_DIFF_IN_QUARTER;
Output
On executing the above query, the output is displayed as follows −
+----------------------+ | DATE_DIFF_IN_QUARTER | +----------------------+ | 4 | +----------------------+
Example
In the following example, we are trying to calculate the difference between two specified times in hours −
SQL> SELECT DATEDIFF(HOUR, '2023/03/15 07:30:00:000', '2023/03/16 06:00:00:000') AS TIME_DIFF_IN_HOUR;
Output
The output for the above query is produced as given below −
+-------------------+ | TIME_DIFF_IN_HOUR | +-------------------+ | 23 | +-------------------+
Example
Here, we are calculating the difference between two specified times in minutes using the following query −
SQL> SELECT DATEDIFF(MINUTE, '2023/03/01 07:30', '2023/04/01 07:30') AS TIME_DIFF_IN_MINUTE;
Output
If we execute the above query, the result is produced as follows −
+---------------------+ | TIME_DIFF_IN_MINUTE | +---------------------+ | 44640 | +---------------------+
Example
Assume we have created a table with the name EMPLOYEE in the SQL database using the CREATE statement as shown in the query below −
SQL> CREATE TABLE EMPLOYEE(ID INT NOT NULL, NAME VARCHAR (20) NOT NULL, DATE_OF_BIRTH VARCHAR (20));
Now, let us insert some records in the EMPLOYEE table using INSERT statements as shown in the query below −
SQL> INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(1, 'Dhruv', '2000-12-05'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(2, 'Arjun', '2000-03-01'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(3, 'Dev', '2001-03-15'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(4, 'Riya', '2003-12-05'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(5, 'Aarohi', '2000-05-02'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(6, 'Lisa', '1999-11-25'); INSERT INTO EMPLOYEE(ID, NAME, DATE_OF_BIRTH) VALUES(7, 'Roy', '2001-05-30');
We can verify whether the table is created or not using the following query −
SQL> SELECT * FROM EMPLOYEE;
The table EMPLOYEE is successfully created in the SQL database.
+-----+--------+---------------+ | ID | NAME | DATE_OF_BIRTH | +-----+--------+---------------+ | 1 | Dhruv | 2000-12-05 | | 2 | Arjun | 2000-03-01 | | 3 | Dev | 2001-03-15 | | 4 | Riya | 2003-12-05 | | 5 | Aarohi | 2000-05-02 | | 6 | Lisa | 1999-11-25 | | 7 | Roy | 2001-05-30 | +-----+--------+---------------+
Here, we are calculating the age of every employee in years using the following query −
Note − The CURRENT_TIMESTAMP retrieves the date and time at the moment.
SQL> SELECT ID, NAME, DATE_OF_BIRTH, DATEDIFF(YEAR, DATE_OF_BIRTH, CURRENT_TIMESTAMP) AS AGE_IN_YEARS FROM EMPLOYEE;
Output
When we execute the above query, the output is obtained as follows −
+-----+--------+---------------+--------------+ | ID | NAME | DATE_OF_BIRTH | AGE_IN_YEARS | +-----+--------+---------------+--------------+ | 1 | Dhruv | 2000-12-05 | 23 | | 2 | Arjun | 2000-03-01 | 23 | | 3 | Dev | 2001-03-15 | 22 | | 4 | Riya | 2003-12-05 | 20 | | 5 | Aarohi | 2000-05-02 | 23 | | 6 | Lisa | 1999-11-25 | 24 | | 7 | Roy | 2001-05-30 | 22 | +-----+--------+---------------+--------------+
Example
Let us create another table with the name OTT in the SQL database using the CREATE statement as shown in the query below −
SQL> CREATE TABLE OTT(ID INT NOT NULL, SUBSCRIBER_NAME VARCHAR (200) NOT NULL, MEMBERSHIP VARCHAR (200), SUBCRIPTION_DATE DATE NOT NULL);
Now, let us insert some records in the OTT table using INSERT statements as shown in the query below −
SQL> INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(1, 'Dhruv', 'Silver', '2022-12-05'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(2, 'Arjun','Platinum', '2021-03-01'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(3, 'Dev','Silver', '2021-03-15'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(4, 'Riya','Gold', '2022-12-05'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(5, 'Aarohi','Platinum', '2020-05-02'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(6, 'Lisa','Platinum', '2022-11-25'); INSERT INTO OTT(ID, SUBSCRIBER_NAME, MEMBERSHIP, SUBCRIPTION_DATE) VALUES(7, 'Roy','Gold', '2021-05-30');
We can verify whether the table OTT is created or not using the following query −
SQL> SELECT * FROM OTT;
The table OTT is successfully created in the SQL database.
+-----+-----------------+------------+------------------+ | ID | SUBSCRIBER_NAME | MEMBERSHIP | SUBSCRIPTION_DATE| +-----+-----------------+------------+------------------+ | 1 | Dhruv | Silver | 2022-12-05 | | 2 | Arjun | Platinum | 2021-03-01 | | 3 | Dev | Silver | 2021-03-15 | | 4 | Riya | Gold | 2022-12-05 | | 5 | Aarohi | Platinum | 2020-05-02 | | 6 | Lisa | Platinum | 2022-11-25 | | 7 | Roy | Gold | 2021-05-30 | +-----+-----------------+------------+------------------+
Here, we are trying to display the remaining number of days for the subscription plans to be complete using the following query −
SQL> SELECT SUBSCRIBER_NAME, SUBCRIPTION_DATE, DATEDIFF(DAY, SUBCRIPTION_DATE, CURRENT_TIMESTAMP) AS REMAINING_DAYS FROM OTT;
Output
If we execute the above query, the result is produced as follows −
+-----------------+-------------------+-----------------+ | SUBSCRIBER_NAME | SUBSCRIPTION_DATE | REMAINING_DAYS | +-----------------+-------------------+-----------------+ | Dhruv | 2022-12-05 | 72 | | Arjun | 2021-03-01 | 716 | | Dev | 2021-03-15 | 702 | | Riya | 2022-12-05 | 72 | | Aarohi | 2020-05-02 | 1019 | | Lisa | 2022-11-25 | 82 | | Roy | 2021-05-30 | 626 | +-----------------+-------------------+-----------------+
To Continue Learning Please Login
Login with Google