Difference Between Float and Decimal in MySQL
In MySQL, selecting the right numeric data types is very important for data representation and storage. Two types of data types are used in MySQL for dealing with numbers. FLOAT or DECIMAL is one of them. It is important to understand the difference between these two types of data type so that you can make the right choice based on your specific use case and requirements.
|
Attribute |
FLOAT |
DECIMAL |
|---|---|---|
|
Precision |
Approximate: Represents numbers using binary exponents, leading to potential rounding errors. |
Exact: Preserves the exact value with the specified decimal places. |
|
Storage Efficiency |
Smaller storage footprint (4 bytes for FLOAT, 8 bytes for DOUBLE). |
Larger storage footprint due to fixed-point representation. |
|
Performance |
Faster operations due to simpler internal handling. |
Slower operations due to more complex arithmetic. |
|
Use Cases |
Suitable for scientific calculations. |
Ideal for financial calculations. |
|
Application |
Less critical for precision. |
Crucial for precision and accuracy. |
|
Example |
FLOAT(5, 2) means 3.14 or 123.45. |
DECIMAL(5, 2) ensures exactness. |
Syntax: Float, Double, and Decimal
|
FLOAT |
FLOAT[(M,D)] . |
Price FLOAT(6,2) (stores up to 6 digits, 2 decimal places). |
|---|---|---|
|
DOUBLE |
DOUBLE[(M,D)] . |
Distance DOUBLE(10,4) (stores up to 10 digits, 4 decimal places). |
|
DECIMAL |
DECIMAL[(M,D)] . |
Amount DECIMAL(10,2) (stores up to 10 digits, 2 decimal places). |
Note: M and D denote the total number of digits and decimal places, respectively. You can omit (M,D) if no specific precision is required.
MySQL Float vs Decimal
In MySQL, when dealing with numbers, you have two main choices: FLOAT and DECIMAL. Each has its unique strengths and best uses. Picking the right one is vital for accurate and efficient data handling in your database. Understanding their differences helps you make smart decisions for better performance and data integrity.