How Do You Write a Real Data Type in SQL?


Scott Campbell

A real data type in SQL is used to store decimal numbers with a fixed precision and scale. It is commonly used to represent numbers with fractional parts. In this article, we will discuss how to write a real data type in SQL and the various considerations involved.

Defining a Real Data Type

When creating a table in SQL, you can specify the column’s data type as real by using the REAL keyword. For example:

CREATE TABLE example (
    id INT,
    price REAL

The above code snippet creates a table named “example” with two columns: “id” of type integer and “price” of type real.

Inserting Real Values

To insert values into a real column, you can use the INSERT INTO statement. For example:

INSERT INTO example (id, price)
VALUES (1, 10.99);

The above code snippet inserts a row into the “example” table with an id of 1 and a price of 10.99.

Performing Operations on Real Data Types

You can perform various operations on real data types in SQL, such as addition, subtraction, multiplication, and division. For example:

SELECT price + 5 AS increased_price
FROM example;

The above code snippet selects the “price” column from the “example” table and adds 5 to each value. The result is displayed as “increased_price”.


  • Beware of Precision Loss: Real data types have limited precision and may result in rounding errors when performing calculations.
  • Choose Data Types Carefully: It’s important to consider the range and precision needed for your data. If you require more precision, consider using the DECIMAL data type instead.
  • Avoid Comparing Real Values: Due to precision limitations, comparing real values for equality can be problematic. It is recommended to use a range-based comparison instead.


The real data type in SQL allows you to store decimal numbers with a fixed precision and scale. By understanding how to define real columns, insert values, and perform operations on them, you can effectively work with real numbers in your SQL queries. Remember to be cautious of precision loss and choose data types wisely based on your requirements.

Now that you have a better understanding of how to write a real data type in SQL, you can confidently utilize this data type in your database tables and perform calculations as needed.

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