NOT NULL constraint behavior in SQL

Introduction

The NOT NULL constraint makes sure a column always has a value. It stops empty or missing data in that column.

When you want to make sure every person in a contact list has a phone number.

When you need every product in a store to have a price.

When a user's email address must always be recorded in a signup form.

When a date of birth is required for every employee in a company database.

Syntax

SQL

CREATE TABLE table_name (
  column_name datatype NOT NULL
);

The NOT NULL constraint is added right after the datatype of a column.

It prevents inserting or updating a row with a missing value in that column.

Examples

Creates a Users table where 'id' and 'name' cannot be empty.

SQL

CREATE TABLE Users (
  id INT NOT NULL,
  name VARCHAR(100) NOT NULL
);

Changes the 'email' column in Employees table to NOT NULL, so it must have a value.

SQL

ALTER TABLE Employees
MODIFY email VARCHAR(255) NOT NULL;

Ensures every product has an ID and a price.

SQL

CREATE TABLE Products (
  product_id INT NOT NULL,
  price DECIMAL(10,2) NOT NULL
);

Sample Program

This creates a Customers table where both columns must have values. The first insert works. The second insert fails because customer_name is NULL.

SQL

CREATE TABLE Customers (
  customer_id INT NOT NULL,
  customer_name VARCHAR(50) NOT NULL
);

INSERT INTO Customers (customer_id, customer_name) VALUES (1, 'Alice');

-- This will fail because customer_name is NOT NULL
INSERT INTO Customers (customer_id, customer_name) VALUES (2, NULL);

Important Notes

Trying to insert or update a NULL value in a NOT NULL column causes an error.

NOT NULL helps keep your data complete and reliable.

You can add NOT NULL when creating a table or later by altering the table.

Summary

NOT NULL makes sure a column always has a value.

It stops empty or missing data in that column.

Use it to keep important data complete and accurate.

Practice

1. What does the NOT NULL constraint do in a database table?

easy

A. It allows a column to have duplicate values.

B. It ensures that a column cannot have empty or missing values.

C. It automatically fills the column with default values.

D. It deletes rows with null values in any column.

Solution

1. Step 1: Understand the purpose of NOT NULL

   The NOT NULL constraint prevents a column from having NULL (empty) values, ensuring data completeness.

2. Step 2: Compare options with the definition

   Only the description 'It ensures that a column cannot have empty or missing values.' correctly describes this behavior; others describe different constraints or actions.

3. Final Answer:

   It ensures that a column cannot have empty or missing values. -> Option B

4. Quick Check:

   NOT NULL = no empty values [OK]

Hint: NOT NULL means no empty values allowed in that column [OK]

Common Mistakes:

• Thinking NOT NULL allows duplicates
• Confusing NOT NULL with default values
• Assuming NOT NULL deletes rows

2. Which of the following is the correct syntax to add a NOT NULL constraint to a column named email in a table users?

easy

A. ALTER TABLE users MODIFY email NOT NULL;

B. ALTER TABLE users ADD email NOT NULL;

C. ALTER TABLE users SET email NOT NULL;

D. ALTER TABLE users CHANGE email TO NOT NULL;

Solution

1. Step 1: Recall ALTER TABLE syntax for modifying column constraints

   To add NOT NULL, we use ALTER TABLE with MODIFY (MySQL syntax).

2. Step 2: Evaluate each option's syntax

   ALTER TABLE users MODIFY email NOT NULL; uses correct syntax; others use invalid or incorrect commands.

3. Final Answer:

   ALTER TABLE users MODIFY email NOT NULL; -> Option A

4. Quick Check:

   ALTER TABLE + MODIFY + NOT NULL = correct syntax [OK]

Hint: Use ALTER TABLE with MODIFY to change NOT NULL [OK]

Common Mistakes:

• Using ADD instead of MODIFY for existing columns
• Using SET or CHANGE incorrectly
• Missing semicolon or wrong keywords

3. Given the table products with a price column defined as DECIMAL NOT NULL, what happens when you run this query?

INSERT INTO products (name, price) VALUES ('Pen', NULL);

medium

A. The query fails with an error due to NOT NULL violation.

B. The row is inserted with price set to 0.

C. The row is inserted with price set to NULL anyway.

D. The query succeeds but price is ignored.

Solution

1. Step 1: Understand NOT NULL effect on insert

   NOT NULL means the column cannot accept NULL values during insert or update.

2. Step 2: Analyze the insert statement

   Inserting NULL into a NOT NULL column causes the database to reject the query with an error.

3. Final Answer:

   The query fails with an error due to NOT NULL violation. -> Option A

4. Quick Check:

   Inserting NULL into NOT NULL column = error [OK]

Hint: Inserting NULL into NOT NULL column causes error [OK]

Common Mistakes:

• Assuming NULL becomes 0 automatically
• Thinking NULL is allowed silently
• Believing the query will partially succeed

4. You have this table creation statement:

CREATE TABLE employees (id INT, name VARCHAR(50) NOT NULL);

You try to insert:

INSERT INTO employees (id, name) VALUES (1, NULL);

But it gives an error. What is the fix?

medium

A. Add DEFAULT NULL to the name column.

B. Change the id column to NOT NULL.

C. Remove NOT NULL from the name column.

D. Insert a non-NULL value for name.

Solution

1. Step 1: Identify cause of error

   The name column is NOT NULL, so inserting NULL causes an error.

2. Step 2: Find correct fix

   To fix, insert a valid non-NULL value for name; changing other columns or constraints won't help here.

3. Final Answer:

   Insert a non-NULL value for name. -> Option D

4. Quick Check:

   NOT NULL column must get non-NULL value [OK]

Hint: Insert real value for NOT NULL columns to avoid errors [OK]

Common Mistakes:

• Removing NOT NULL without reason
• Changing unrelated columns
• Adding DEFAULT NULL which conflicts with NOT NULL

5. You want to ensure that the username column in your accounts table always has a value and cannot be empty. Which of these combined approaches is best to enforce this?

CREATE TABLE accounts (
  id INT PRIMARY KEY,
  username VARCHAR(30) NOT NULL CHECK (username <> '')
);

hard

A. Use NOT NULL only, because it blocks empty strings too.

B. Use CHECK only, because NOT NULL allows empty strings.

C. Use both NOT NULL and CHECK to block NULL and empty strings.

D. No constraints needed; application code will handle it.

Solution

1. Step 1: Understand NOT NULL and empty strings

   NOT NULL prevents NULL values but allows empty strings ('').

2. Step 2: Understand CHECK constraint role

   CHECK (username <> '') prevents empty strings but allows NULL unless combined with NOT NULL.

3. Step 3: Combine constraints for full validation

   Using both NOT NULL and CHECK ensures username is neither NULL nor empty.

4. Final Answer:

   Use both NOT NULL and CHECK to block NULL and empty strings. -> Option C

5. Quick Check:

   NOT NULL + CHECK = no NULL or empty [OK]

Hint: Combine NOT NULL and CHECK to block NULL and empty strings [OK]

Common Mistakes:

• Assuming NOT NULL blocks empty strings
• Using CHECK without NOT NULL allows NULLs
• Relying only on application code