The DECIMAL data type is used in MySQL to store fixed-precision decimal numbers to avoid precision loss. The syntax is DECIMAL(M, D), where M is the maximum number of digits and D is the number of digits to the right of the decimal point. Features include accuracy, fixed length, and data integrity. Suitable for data that requires precise calculations, precise measurements, or where specific accuracy and range are enforced. Compared to FLOAT and DOUBLE, DECIMAL has higher precision, but is slower and has a fixed length.
Usage of DECIMAL data type in MySQL
The DECIMAL data type is used to store fixed-precision decimal numbers. It differs from the FLOAT and DOUBLE types, which use floating-point arithmetic, which may result in a loss of precision.
Syntax
<code>DECIMAL(M, D)</code>
- M:Maximum number of digits (including the digits to the left of the decimal point)
- D: Number of digits to the right of the decimal point
For example:
<code>DECIMAL(10, 2)</code>
This data type can store decimal numbers with a maximum value of 99999999.99, where 8 digits to the left of the decimal point and 2 digits to the right.
Features
- Accurate: The DECIMAL type stores precise decimal numbers to avoid loss of precision.
- Fixed length: The data length is fixed, determined by M and D, saving storage space.
- Data Integrity: The DECIMAL type enforces the position of the decimal point to prevent data entry errors.
When to use it
Use the DECIMAL data type for the following situations:
- Financial data that requires precise calculations
- Need to store precise measurements with decimals
- Require to enforce specific precision and range data
Comparison with FLOAT and DOUBLE
DECIMAL | FLOAT | DOUBLE | |
---|---|---|---|
Accurate | Approximate value | Approximate value | |
Fixed | variable | variable | ##speed |
faster | faster |
The following is an example using the DECIMAL data type:
CREATE TABLE orders ( order_id INT NOT NULL AUTO_INCREMENT, total_price DECIMAL(10, 2) NOT NULL ); INSERT INTO orders (total_price) VALUES (123.45); SELECT * FROM orders WHERE total_price > 100.00;
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