Unlocking the Power of NULL: A SQL Guide
The Mysterious Case of NULL Values
When working with databases, encountering NULL values is a common phenomenon. But did you know that SQL provides two powerful conditions to tackle these unknowns? Meet IS NULL and IS NOT NULL, the dynamic duo that helps you navigate the world of missing data.
The Anatomy of IS NULL
The IS NULL condition is used to select rows where a specified field contains a NULL value. Its syntax is straightforward:
SELECT column1, column2,... FROM table WHERE column_name IS NULL;
Let’s break it down:
column1, column2,...
represent the table columns you want to retrieve.table
is the name of the table containing the data.column_name
is the specific column you’re checking for NULL values.
For instance, if you want to find all employees with no email address, you’d use:
SELECT * FROM Employee WHERE email IS NULL;
Note: Be aware that empty strings and zeros are not considered NULL values.
The Counterpart: IS NOT NULL
The IS NOT NULL condition does the opposite – it selects rows where a specified field is not NULL. The syntax is similar:
SELECT column1, column2,... FROM table WHERE column_name IS NOT NULL;
Using our previous example, you’d use:
SELECT * FROM Employee WHERE email IS NOT NULL;
to find all employees with a valid email address.
Counting the Unknowns: IS NULL with COUNT()
What if you want to know how many rows have empty fields? That’s where the COUNT() function comes in. By combining it with IS NULL, you can count the number of rows with NULL values:
SELECT COUNT(*) FROM Employee WHERE email IS NULL;
This query returns the count of employees without an email address. You can also use COUNT() with IS NOT NULL to count non-empty fields.
Now that you’ve mastered the art of handling NULL values, you’re one step closer to becoming a SQL ninja!