- MySQL Basics
- MySQL - Home
- MySQL - Introduction
- MySQL - Features
- MySQL - Versions
- MySQL - Variables
- MySQL - Installation
- MySQL - Administration
- MySQL - PHP Syntax
- MySQL - Node.js Syntax
- MySQL - Java Syntax
- MySQL - Python Syntax
- MySQL - Connection
- MySQL - Workbench
- MySQL Databases
- MySQL - Create Database
- MySQL - Drop Database
- MySQL - Select Database
- MySQL - Show Database
- MySQL - Copy Database
- MySQL - Database Export
- MySQL - Database Import
- MySQL - Database Info
- MySQL Users
- MySQL - Create Users
- MySQL - Drop Users
- MySQL - Show Users
- MySQL - Change Password
- MySQL - Grant Privileges
- MySQL - Show Privileges
- MySQL - Revoke Privileges
- MySQL - Lock User Account
- MySQL - Unlock User Account
- MySQL Tables
- MySQL - Create Tables
- MySQL - Show Tables
- MySQL - Alter Tables
- MySQL - Rename Tables
- MySQL - Clone Tables
- MySQL - Truncate Tables
- MySQL - Temporary Tables
- MySQL - Repair Tables
- MySQL - Describe Tables
- MySQL - Add/Delete Columns
- MySQL - Show Columns
- MySQL - Rename Columns
- MySQL - Table Locking
- MySQL - Drop Tables
- MySQL - Derived Tables
- MySQL Queries
- MySQL - Queries
- MySQL - Constraints
- MySQL - Insert Query
- MySQL - Select Query
- MySQL - Update Query
- MySQL - Delete Query
- MySQL - Replace Query
- MySQL - Insert Ignore
- MySQL - Insert on Duplicate Key Update
- MySQL - Insert Into Select
- MySQL Indexes
- MySQL - Indexes
- MySQL - Create Index
- MySQL - Drop Index
- MySQL - Show Indexes
- MySQL - Unique Index
- MySQL - Clustered Index
- MySQL - Non-Clustered Index
- MySQL Operators and Clauses
- MySQL - Where Clause
- MySQL - Limit Clause
- MySQL - Distinct Clause
- MySQL - Order By Clause
- MySQL - Group By Clause
- MySQL - Having Clause
- MySQL - AND Operator
- MySQL - OR Operator
- MySQL - Like Operator
- MySQL - IN Operator
- MySQL - ANY Operator
- MySQL - EXISTS Operator
- MySQL - NOT Operator
- MySQL - NOT EQUAL Operator
- MySQL - IS NULL Operator
- MySQL - IS NOT NULL Operator
- MySQL - Between Operator
- MySQL - UNION Operator
- MySQL - UNION vs UNION ALL
- MySQL - MINUS Operator
- MySQL - INTERSECT Operator
- MySQL - INTERVAL Operator
- MySQL Joins
- MySQL - Using Joins
- MySQL - Inner Join
- MySQL - Left Join
- MySQL - Right Join
- MySQL - Cross Join
- MySQL - Full Join
- MySQL - Self Join
- MySQL - Delete Join
- MySQL - Update Join
- MySQL - Union vs Join
- MySQL Keys
- MySQL - Unique Key
- MySQL - Primary Key
- MySQL - Foreign Key
- MySQL - Composite Key
- MySQL - Alternate Key
- MySQL Triggers
- MySQL - Triggers
- MySQL - Create Trigger
- MySQL - Show Trigger
- MySQL - Drop Trigger
- MySQL - Before Insert Trigger
- MySQL - After Insert Trigger
- MySQL - Before Update Trigger
- MySQL - After Update Trigger
- MySQL - Before Delete Trigger
- MySQL - After Delete Trigger
- MySQL Data Types
- MySQL - Data Types
- MySQL - VARCHAR
- MySQL - BOOLEAN
- MySQL - ENUM
- MySQL - DECIMAL
- MySQL - INT
- MySQL - FLOAT
- MySQL - BIT
- MySQL - TINYINT
- MySQL - BLOB
- MySQL - SET
- MySQL Regular Expressions
- MySQL - Regular Expressions
- MySQL - RLIKE Operator
- MySQL - NOT LIKE Operator
- MySQL - NOT REGEXP Operator
- MySQL - regexp_instr() Function
- MySQL - regexp_like() Function
- MySQL - regexp_replace() Function
- MySQL - regexp_substr() Function
- MySQL Fulltext Search
- MySQL - Fulltext Search
- MySQL - Natural Language Fulltext Search
- MySQL - Boolean Fulltext Search
- MySQL - Query Expansion Fulltext Search
- MySQL - ngram Fulltext Parser
- MySQL Functions & Operators
- MySQL - Date and Time Functions
- MySQL - Arithmetic Operators
- MySQL - Numeric Functions
- MySQL - String Functions
- MySQL - Aggregate Functions
- MySQL Misc Concepts
- MySQL - NULL Values
- MySQL - Transactions
- MySQL - Using Sequences
- MySQL - Handling Duplicates
- MySQL - SQL Injection
- MySQL - SubQuery
- MySQL - Comments
- MySQL - Check Constraints
- MySQL - Storage Engines
- MySQL - Export Table into CSV File
- MySQL - Import CSV File into Database
- MySQL - UUID
- MySQL - Common Table Expressions
- MySQL - On Delete Cascade
- MySQL - Upsert
- MySQL - Horizontal Partitioning
- MySQL - Vertical Partitioning
- MySQL - Cursor
- MySQL - Stored Functions
- MySQL - Signal
- MySQL - Resignal
- MySQL - Character Set
- MySQL - Collation
- MySQL - Wildcards
- MySQL - Alias
- MySQL - ROLLUP
- MySQL - Today Date
- MySQL - Literals
- MySQL - Stored Procedure
- MySQL - Explain
- MySQL - JSON
- MySQL - Standard Deviation
- MySQL - Find Duplicate Records
- MySQL - Delete Duplicate Records
- MySQL - Select Random Records
- MySQL - Show Processlist
- MySQL - Change Column Type
- MySQL - Reset Auto-Increment
- MySQL - Coalesce() Function
MySQL - ROUND() Function
The MySQL ROUND() function accepts (floating-point) number as a parameter and returns the rounded value of it. We can also pass an integer specifying the number of decimal places we can have in the resultant value.
Mathematically, the term "round off" describes the process of converting a decimal value to the closest integer value. In scenarios where an arithmetic expression returns a result in decimal values, rounding off the result to an integer will make calculations easier to understand.
A value can be rounded off to either highest integer or a lowest integer. If the given decimal value is greater than 0.5, then it will be rounded off to its highest integer; otherwise it will be rounded off to its lowest integer.
Syntax
Following is the syntax of MySQL ROUND() function −
ROUND(X, D);
Parameters
This function accepts two parameters: the numeric expression to be rounded, and an optional second parameter specifying the number of decimal places.
Return Value
This function returns the rounded value as a numeric or decimal value.
Example
In the following query, we are using the ROUND() function to round the number 5.6523 to the nearest integer −
SELECT ROUND(5.6523) As Result;
Output
The output for the query above is produced as given below −
Result |
---|
6 |
Example
We can also pass the arguments of this function as a string value −
SELECT ROUND('25748.67') As Result;
Output
This will produce the following result −
Result |
---|
25749 |
Example
We can pass negative values as arguments to this method −
SELECT ROUND(-5578.5778) As Result;
Output
The output is produced as follows −
Result |
---|
-5579 |
Example
This function also accepts an integer value representing the number of digits you can keep after the decimal −
SELECT ROUND(545895.6877562, 3) As Result;
Output
The output is produced as follows −
Result |
---|
545895.688 |
Example
In the example below, we are creating a MySQL table named CUSTOMERS using the CREATE statement as follows −
CREATE TABLE CUSTOMERS ( ID INT AUTO_INCREMENT, NAME VARCHAR(20) NOT NULL, AGE INT NOT NULL, ADDRESS CHAR (25), SALARY DECIMAL (18, 2), PRIMARY KEY (ID) );
The following query inserts 7 records into the above created table −
INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY) VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.56 ), (2, 'Khilan', 25, 'Delhi', 1500.33 ), (3, 'Kaushik', 23, 'Kota', 2000.66 ), (4, 'Chaitali', 25, 'Mumbai', 6500.95 ), (5, 'Hardik', 27, 'Bhopal', 8500.99 ), (6, 'Komal', 22, 'Hyderabad', 4500.11 ), (7, 'Muffy', 24, 'Indore', 10000.50 );
Execute the below query to fetch all the inserted records in the CUSTOMERS table −
Select * From CUSTOMERS;
Following is the CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.56 |
2 | Khilan | 25 | Delhi | 1500.33 |
3 | Kaushik | 23 | Kota | 2000.66 |
4 | Chaitali | 25 | Mumbai | 6500.95 |
5 | Hardik | 27 | Bhopal | 8500.99 |
6 | Komal | 22 | Hyderabad | 4500.11 |
7 | Muffy | 24 | Indore | 10000.50 |
Now, we use the MySQL ROUND() function to
SELECT *, ROUND(SALARY) FROM CUSTOMERS;
Following is the CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY | ROUND(SALARY) |
---|---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.56 | 2001 |
2 | Khilan | 25 | Delhi | 1500.33 | 1500 |
3 | Kaushik | 23 | Kota | 2000.66 | 2001 |
4 | Chaitali | 25 | Mumbai | 6500.95 | 6501 |
5 | Hardik | 27 | Bhopal | 8500.99 | 8501 |
6 | Komal | 22 | Hyderabad | 4500.11 | 4500 |
7 | Muffy | 24 | Indore | 10000.50 | 10001 |