SQL Null

Galaxy Glossary

What is a NULL value in SQL, and how do you handle it?

NULL in SQL represents the absence of a value. It's crucial to understand how NULLs behave in queries, as they differ from empty strings or zero values. Proper handling of NULLs is essential for accurate data analysis and manipulation.
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Description

In SQL, a NULL value signifies that a particular data field doesn't hold a valid or meaningful value. It's not the same as an empty string or zero. Think of it as a placeholder indicating the absence of data. This is different from a zero, which represents a specific value. NULLs are often used to represent missing information, such as a customer's phone number that hasn't been provided yet. Understanding NULLs is critical for accurate data analysis and manipulation. For example, if you're calculating the average income of customers, a NULL income value will skew the result if not handled correctly. SQL provides specific functions and operators to handle NULL values effectively, preventing unexpected results.

Why SQL Null is important

Understanding NULL values is crucial for accurate data analysis and manipulation. Ignoring NULL values can lead to incorrect calculations and flawed conclusions. Proper handling of NULLs ensures that your queries and analyses are reliable and produce meaningful results.

Example Usage


-- Checking if order numbers are within a specific range
SELECT order_id, order_date
FROM orders
WHERE order_id MOD 100 BETWEEN 20 AND 29;

-- Finding even numbers in a table
SELECT product_id
FROM products
WHERE product_id MOD 2 = 0;

-- Calculating the remainder of a division
SELECT 17 MOD 5 AS remainder;

Common Mistakes

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