How do you handle NULL values in SQL queries?

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Handling NULL values in SQL is important because NULL represents missing or unknown data. Here’s how you can handle them:

1. Filtering NULLs

   • Use IS NULL or IS NOT NULL in the WHERE clause to find or exclude NULL values:

     SELECT * FROM employees WHERE manager_id IS NULL;
     SELECT * FROM employees WHERE manager_id IS NOT NULL;
     

2. Replacing NULLs

   • Use COALESCE() or IFNULL() (depending on the database) to replace NULL with a default value:

     SELECT employee_name, COALESCE(salary, 0) AS salary FROM employees;
     

3. Conditional Logic with NULLs

   • Use CASE statements to handle NULLs in computations or categorizations:

     SELECT employee_name,
            CASE 
              WHEN bonus IS NULL THEN 'No Bonus'
              ELSE 'Has Bonus'
            END AS bonus_status
     FROM employees;
     

4. Aggregate Functions

   • Functions like SUM, AVG, COUNT automatically ignore NULL values (except COUNT(*)). Use this to calculate metrics without NULL interference.

5. Avoiding NULL Issues in Joins

   • When joining tables, LEFT or RIGHT JOIN can return NULL for missing matches. Handle them using COALESCE or filters to avoid errors.

Summary:

• Use IS NULL / IS NOT NULL for filtering.

• Use COALESCE or IFNULL to replace NULL values.

• Use CASE for conditional handling.

• Understand how NULLs affect aggregations and joins.

Read more :

What is the difference between INNER JOIN, LEFT JOIN, and RIGHT JOIN?

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