- 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 - Multiplication Operator (*)
MySQL supports various types of operators, like arithmetic operators, comparison operators, logical operators, assignment operators, etc. Various operators are used for different purposes. And arithmetic operators work with numeric values present in the data stored.
The Multiplication operator (*) is used to multiply two values in a dataset and returns their product as a result-set.
This operator can also be used with SQL statements like SELECT, UPDATE, and DELETE in MySQL, along with clauses like WHERE, ORDER BY etc.
Syntax
Following is the syntax of MySQL Multiplication operator −
[SELECT|DELETE|UPDATE] x * y;
Where, "x" and "y" are placeholders for the numeric values you want to multiply.
Example
In the following query, we are using the multiplication operator (*) to multiply two numbers −
SELECT 4156456 * 56445 As Result;
Output
This will produce the following result −
Result |
---|
234611158920 |
Example
In this query, we are multiplying two float numbers a whole number using the multiplication operator −
SELECT 547.5478 * 657.3547 * 5475 As Result;
Output
This will produce the following result −
Result |
---|
1970633830.93051350 |
Example
We can also have negative values as operands in this operation −
SELECT 4445 * -533 As Result;
Output
This will produce the following result −
4445 * -533 |
---|
-2369185 |
Example
In the following query, we are creating a table named CUSTOMERS using the CREATE TABLE statement −
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 below query adds 7 records into the above created table −
INSERT INTO CUSTOMERS (ID,NAME,AGE,ADDRESS,SALARY) VALUES (1, 'Ramesh', 32, 'Ahmedabad', 2000.00 ), (2, 'Khilan', 25, 'Delhi', 1500.00 ), (3, 'Kaushik', 23, 'Kota', 2000.00 ), (4, 'Chaitali', 25, 'Mumbai', 6500.00 ), (5, 'Hardik', 27, 'Bhopal', 8500.00 ), (6, 'Komal', 22, 'Hyderabad', 4500.00 ), (7, 'Muffy', 24, 'Indore', 10000.00 );
To verify whether the records are inserted, execute the following query −
Select * From CUSTOMERS;
Following is the CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
1 | Ramesh | 32 | Ahmedabad | 2000.00 |
2 | Khilan | 25 | Delhi | 1500.00 |
3 | Kaushik | 23 | Kota | 2000.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
6 | Komal | 22 | Hyderabad | 4500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
Here, we are using the MySQL multiplication operator to multiply the age and salary of every customer −
SELECT NAME, AGE * SALARY as RESULT FROM CUSTOMERS;
This will produce the following result −
NAME | RESULT |
---|---|
Ramesh | 64000.00 |
Khilan | 37500.00 |
Kaushik | 46000.00 |
Chaitali | 162500.00 |
Hardik | 229500.00 |
Komal | 99000.00 |
Muffy | 240000.00 |
Example
You can also use the multiplication operator with DELETE statement along with WHERE clause and assignment operators.
In this example, we are deleting all records in the "CUSTOMERS" table where the "SALARY" column is equal to 2000.
DELETE FROM CUSTOMERS WHERE SALARY = 2000.00 * 1;
Output
Two records are deleted from the CUSTOMERS table −
Query OK, 2 rows affected (0.01 sec)
Verification
To verify whether the records in salary column that are equal to 2000 are deleted, execute the below query −
Select * From CUSTOMERS;
Following is the updated CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
2 | Khilan | 25 | Delhi | 1500.00 |
4 | Chaitali | 25 | Mumbai | 6500.00 |
5 | Hardik | 27 | Bhopal | 8500.00 |
6 | Komal | 22 | Hyderabad | 4500.00 |
7 | Muffy | 24 | Indore | 10000.00 |
Example
Along with SELECT and DELETE statements, you can also use the division operator with the UPDATE statement.
In the following example, we are updating the SALARY column in the CUSTOMERS table. We are multiplying the current salary of each customer by 2 −
UPDATE CUSTOMERS SET SALARY = SALARY * 2;
Output
This will produce the following result −
Query OK, 5 rows affected (0.01 sec) Rows matched: 5 Changed: 5 Warnings: 0
Verification
Execute the below query to verify whether the salaries has been updated or not −
Select * From CUSTOMERS;
Following is the updated CUSTOMERS table −
ID | NAME | AGE | ADDRESS | SALARY |
---|---|---|---|---|
2 | Khilan | 25 | Delhi | 3000.00 |
4 | Chaitali | 25 | Mumbai | 13000.00 |
5 | Hardik | 27 | Bhopal | 17000.00 |
6 | Komal | 22 | Hyderabad | 9000.00 |
7 | Muffy | 24 | Indore | 20000.00 |