Decimal In MySQL

  • Decimal datatype is used to store the fixed precision datatypes which have the exact values.
  • Decimal datatypes are used where fixed precision is required such as storing quantities, percentages, and prices.

Example

Let’s create a table student with Roll_number, name, and Marks.

CREATE TABLE students (
student_id INT PRIMARY KEY,
name VARCHAR(255),
percentage DECIMAL(5, 2)
);
  • Here we declared the decimal where (5,2) represents the (number of total digits, digits after decimals). So here we assume the percentage is out of 100 so the total digits will be 5 and 2 digits are allowed after decimal.

Let’s insert the values into the table:

INSERT INTO students (student_id, name, percentage) VALUES
(1, 'Kartik', 85.50),
(2, 'Roshan', 72.25),
(3, 'Athul', 91.75);

To display the students table we will use the following MySQL query

select * from students

Table Students:

+------------+--------+------------+
| student_id | name | percentage |
+------------+--------+------------+
| 1 | Kartik | 85.50 |
| 2 | Roshan | 72.25 |
| 3 | Athul | 91.75 |
+------------+--------+------------+

Here we can see that the percentages are in decimal data type where the 2 digits are present after the decimal.

Decimal vs Double vs Float in MySQL

In MySQL, Decimal, Double, and Float are numeric data types used to represent different precision levels for numerical values. Decimal offers precise numeric storage with fixed-point arithmetic, suitable for financial data.

Double and Float are approximate numeric types, where Double provides higher precision than Float. Float is typically used for scientific calculations or where precision isn’t critical, while Double strikes a balance between precision and storage efficiency.

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Decimal In MySQL

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Double in MySQL

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Conclusion

So here we noticed the difference between the decimal, float, and double data types. We also implemented the all data types in MySQL workbench using the SQL query. The main difference between these data types is the precision available after the decimal points. Decimal offers exact precision for financial data, while Double provides higher precision than Float, making it suitable for general-purpose use. Float, with lower precision, is often preferred for scientific computations....

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