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Referential Integrity Enforcement in SQL
📖 Scenario: You are managing a small library database. You need to keep track of books and their authors. Each book must be linked to an author to ensure data consistency.
🎯 Goal: Create two tables, Authors and Books, and enforce referential integrity so that every book references a valid author.
📋 What You'll Learn
Create an Authors table with columns AuthorID (primary key) and Name.
Create a Books table with columns BookID (primary key), Title, and AuthorID.
Add a foreign key constraint on Books.AuthorID referencing Authors.AuthorID.
Ensure that deleting an author will delete all their books automatically.
💡 Why This Matters
🌍 Real World
Libraries, bookstores, and many applications use referential integrity to keep related data accurate and consistent.
💼 Career
Database administrators and developers must enforce referential integrity to prevent orphan records and maintain data quality.
Progress0 / 4 steps
1
Create the Authors table
Write a SQL statement to create a table called Authors with two columns: AuthorID as an integer primary key, and Name as a text field.
SQL
Hint
Use CREATE TABLE with PRIMARY KEY on AuthorID.
2
Create the Books table
Write a SQL statement to create a table called Books with three columns: BookID as an integer primary key, Title as a text field, and AuthorID as an integer.
SQL
Hint
Define BookID as primary key and include AuthorID as an integer column.
3
Add foreign key constraint
Modify the Books table creation to add a foreign key constraint on AuthorID that references Authors.AuthorID.
SQL
Hint
Use FOREIGN KEY (AuthorID) REFERENCES Authors(AuthorID) inside the Books table definition.
4
Enforce cascading delete
Update the foreign key constraint on Books.AuthorID to include ON DELETE CASCADE so that deleting an author removes their books automatically.
SQL
Hint
Add ON DELETE CASCADE after the foreign key reference.
Practice
(1/5)
1. What is the main purpose of referential integrity in a database?
easy
A. To speed up query execution
B. To ensure relationships between tables remain consistent
C. To store large amounts of data efficiently
D. To create backup copies of the database
Solution
Step 1: Understand referential integrity concept
Referential integrity ensures that foreign keys in one table correctly reference existing rows in another table.
Step 2: Identify the main purpose
This prevents orphan records and keeps data relationships consistent and safe.
Final Answer:
To ensure relationships between tables remain consistent -> Option B
Hint: Referential integrity means keeping table links correct [OK]
Common Mistakes:
Confusing referential integrity with performance optimization
Thinking it creates backups
Assuming it stores data efficiently
2. Which SQL statement correctly defines a foreign key with referential integrity enforcement?
easy
A. INSERT INTO Orders (OrderID, CustomerID) VALUES (1, 100);
B. CREATE TABLE Orders (OrderID INT, CustomerID INT PRIMARY KEY);
C. ALTER TABLE Orders ADD FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID);
D. SELECT * FROM Orders WHERE CustomerID = Customers.CustomerID;
Solution
Step 1: Identify foreign key syntax
The correct syntax to add a foreign key is using ALTER TABLE with ADD FOREIGN KEY referencing another table's column.
Step 2: Check each option
ALTER TABLE Orders ADD FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID); correctly adds a foreign key constraint. CREATE TABLE Orders (OrderID INT, CustomerID INT PRIMARY KEY); wrongly sets CustomerID as primary key without foreign key. INSERT INTO Orders (OrderID, CustomerID) VALUES (1, 100); is an insert, not a constraint. SELECT * FROM Orders WHERE CustomerID = Customers.CustomerID; is a select query, not a constraint definition.
Final Answer:
ALTER TABLE Orders ADD FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID); -> Option C
Hint: Foreign keys use ALTER TABLE ADD FOREIGN KEY ... REFERENCES [OK]
Common Mistakes:
Confusing primary key with foreign key syntax
Using INSERT or SELECT instead of constraint definition
Missing REFERENCES keyword
3. Given these tables:
CREATE TABLE Customers (CustomerID INT PRIMARY KEY, Name VARCHAR(50));
CREATE TABLE Orders (OrderID INT PRIMARY KEY, CustomerID INT, FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID) ON DELETE CASCADE);
What happens if a customer with CustomerID = 5 is deleted?
medium
A. All orders with CustomerID = 5 are also deleted
B. The delete fails due to foreign key constraint
C. Orders with CustomerID = 5 remain unchanged
D. CustomerID in Orders is set to NULL for those orders
Solution
Step 1: Understand ON DELETE CASCADE
The ON DELETE CASCADE option means deleting a referenced row causes all related rows to be deleted automatically.
Step 2: Apply to the scenario
Deleting customer with CustomerID=5 will delete all orders linked to that customer in Orders table.
Final Answer:
All orders with CustomerID = 5 are also deleted -> Option A
Quick Check:
ON DELETE CASCADE = delete related rows [OK]
Hint: ON DELETE CASCADE deletes related rows automatically [OK]
Common Mistakes:
Thinking delete will fail due to constraint
Assuming related rows remain unchanged
Confusing CASCADE with SET NULL
4. You have this foreign key constraint:
FOREIGN KEY (ProductID) REFERENCES Products(ProductID) ON DELETE SET NULL
Which error will occur if you try to delete a product that is referenced by an order, but the ProductID column in Orders is defined as NOT NULL?
medium
A. Delete fails due to NOT NULL constraint violation
B. Delete succeeds and sets ProductID to NULL
C. Delete succeeds and removes the order row
D. Delete succeeds without affecting Orders
Solution
Step 1: Understand ON DELETE SET NULL behavior
This option sets the foreign key column to NULL in referencing rows when the referenced row is deleted.
Step 2: Check NOT NULL constraint conflict
If the foreign key column is NOT NULL, setting it to NULL violates the column constraint, causing the delete to fail.
Final Answer:
Delete fails due to NOT NULL constraint violation -> Option A
Quick Check:
SET NULL + NOT NULL column = delete fails [OK]
Hint: SET NULL fails if foreign key column is NOT NULL [OK]
Common Mistakes:
Assuming delete succeeds and sets NULL anyway
Thinking delete removes referencing rows
Ignoring NOT NULL constraint on foreign key
5. You want to enforce referential integrity between Employees and Departments tables. When a department is deleted, you want all employees in that department to be reassigned to department ID 0 (which means 'Unassigned'). Which foreign key option should you use?
hard
A. FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID) ON DELETE RESTRICT
B. FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID) ON DELETE CASCADE
C. FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID) ON DELETE SET NULL
D. FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID) ON DELETE SET DEFAULT
Solution
Step 1: Understand ON DELETE SET DEFAULT
This option sets the foreign key column to its default value when the referenced row is deleted.
Step 2: Match requirement
Since you want employees reassigned to department ID 0, set DepartmentID column default to 0 and use ON DELETE SET DEFAULT to assign that value automatically.
Final Answer:
FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID) ON DELETE SET DEFAULT -> Option D
Quick Check:
Reassign on delete = ON DELETE SET DEFAULT [OK]
Hint: Use ON DELETE SET DEFAULT to assign default on delete [OK]
Common Mistakes:
Using CASCADE deletes employees instead of reassigning