MySQL Functions

MySQL offers a wide range of built-in functions to facilitate data operations. On the basis of their use cases, these functions are divided into many categories, including date/time, string, numeric, aggregate functions. In this article, we will learn about MySQL functions in detail with help of examples.

 

String Functions

Text-based data can be manipulated and information can be retrieved using string methods.

1. UPPER() / LOWER()

It converts text to uppercase or lowercase.

Example

SELECT UPPER('hello');
SELECT LOWER('HELLO');

Output

HELLO
hello

 

2. CONCAT()

It combines multiple strings into one.

Example

SELECT CONCAT('Hello', ' ', 'World');

Output

Hello World

 

3. SUBSTRING()

It extracts a portion of a string.

Example

SELECT SUBSTRING('MySQL Functions', 1, 5);
  1.  

Output

MySQL

 

4. LENGTH()

It returns the length of a string in bytes.

Example

SELECT LENGTH('Hello');

Output

5

 

5. REPLACE()

It replaces occurrences of a substring.

Example

SELECT REPLACE('Hello World', 'World', 'MySQL');

Output

Hello MySQL

 

Numeric Functions

Numeric functions perform mathematical calculations.

 

1. ROUND()

It rounds a number to the nearest whole or decimal place.

Example

SELECT ROUND(3.456, 2);

Output

3.46

 

2. CEIL() / FLOOR()

It CEIL() rounds up, FLOOR() rounds down.

Example

SELECT CEIL(3.2);
SELECT FLOOR(3.7);

Output

4
3

 

3. MOD()

It returns the remainder of division.

Example

SELECT MOD(10, 3);

Output

1

 

4. POWER()

It raises a number to a given power.

Example

SELECT POWER(2, 3);

Output

8

 

5. RAND()

It generates a random number between 0 and 1.

Example

SELECT RAND();

Output

0.345678 (varies)

Output will be always different.

 

Also read about MySQL SHOW Statement

 

Date and Time Functions

Date functions manipulate and format date values.

 

1. NOW() / CURDATE() / CURTIME()

It fetches the current date and time.

Example

SELECT NOW();
SELECT CURDATE();
SELECT CURTIME();

Output

2025-01-31 22:18:30
2025-01-31
22:18:30

 

2. DATE_ADD() / DATE_SUB()

It adds or subtracts time intervals.

Example

SELECT DATE_ADD('2025-01-30', INTERVAL 7 DAY);
SELECT DATE_SUB('2025-01-30', INTERVAL 3 MONTH);

Output

2025-02-07
2024-10-31

 

3. DATEDIFF()

It finds the difference between two dates.

Example

SELECT DATEDIFF('2025-01-30', '2024-12-25');

Output

36

 

4. EXTRACT()

It extracts parts from a date.

Example

SELECT EXTRACT(YEAR FROM '2025-01-30');

Output

2025

 

Aggregate Functions

Aggregate functions are used to perform calculations on multiple rows.

 

1. COUNT()

It returns the number of records.

Example

SELECT COUNT(*) FROM users;

Output

50

 

2. SUM()

It adds up numeric values.

Example

SELECT SUM(marks) FROM users;

Output

245

 

3. AVG()

It calculates the average value.

Example

SELECT AVG(marks) FROM users;

Output

49

 

4. MAX() / MIN()

It returns the highest and lowest values.

Example

SELECT MAX(marks) FROM employees;  
SELECT MIN(marks) FROM employees;

Output

80

55

 

JSON Functions

MySQL provides built-in JSON functions for handling JSON data.

 

1. JSON_OBJECT()

It creates a JSON object.

Example

SELECT JSON_OBJECT('name', 'John', 'age', 30);

Output

{"name": "John", "age": 30}

 

2. JSON_EXTRACT()

It extracts values from JSON data.

Example

SELECT JSON_EXTRACT('{"name": "John", "age": 30}', '$.name');

Output

"John"

 

Encryption and Hashing Functions

It handles encryption functions to secure sensitive data.

 

1. MD5()

It generates a 32-character hash.

Example

SELECT MD5('password');

Output

5f4dcc3b5aa765d61d8327deb882cf99

 

2. SHA1()

It generates a SHA-1 hash.

Example

SELECT SHA1('password');

Output

5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8

 

System Functions

VERSION()

It returns the MySQL version.

Example

SELECT VERSION();

Output

8.0.32

 

Conclusion

You can effectively work with strings, integers, dates, and JSON data thanks to MySQL's extensive function set. These features increase MySQL queries' adaptability and strength, making them essential for data analysis and database administration.
You may create SQL queries that are optimized, handle complicated data effectively, and enhance database speed.

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