Computer ScienceNEB 2082

Write any three differences between DDL and DML. Give examples of each. [3+2] OR What is normalization ? Explain 2NF and 3NF. [2+3]

5

Answer

Model Answer: Differences between DDL and DML

Three Key Differences Between DDL and DML

Feature DDL (Data Definition Language) DML (Data Manipulation Language)
Purpose Used to define and modify database structure (schema). Used to manipulate data within the database.
Commands CREATE, ALTER, DROP, TRUNCATE SELECT, INSERT, UPDATE, DELETE
Effect Affects the database schema (tables, views, indexes). Affects data stored in tables (rows and columns).
Commit/Rollback Changes are automatically committed (cannot be rolled back). Changes can be rolled back if not committed.
Example CREATE TABLE Student (RollNo INT, Name VARCHAR(50)); INSERT INTO Student VALUES (1, 'Ram');

Examples of DDL and DML

DDL Example:

-- Creating a table
CREATE TABLE Employee (
    EmpID INT PRIMARY KEY,
    Name VARCHAR(50),
    Salary DECIMAL(10,2)
);

-- Modifying a table
ALTER TABLE Employee ADD Department VARCHAR(30);

-- Dropping a table
DROP TABLE Employee;

DML Example:

-- Inserting data
INSERT INTO Employee (EmpID, Name, Salary)
VALUES (101, 'Hari', 35000.00);

-- Updating data
UPDATE Employee SET Salary = 40000.00 WHERE EmpID = 101;

-- Deleting data
DELETE FROM Employee WHERE EmpID = 101;

Model Answer: Normalization (2NF and 3NF)

What is Normalization?

Normalization is a database design technique that organizes data to minimize redundancy and dependency, improving data integrity and efficiency. It involves dividing a database into tables and establishing relationships between them using normal forms (1NF, 2NF, 3NF, BCNF, etc.).


Second Normal Form (2NF)

A table is in 2NF if:

  1. It is already in 1NF (atomic values, primary key defined).
  2. All non-key attributes are fully functionally dependent on the entire primary key (no partial dependency).

Problem in 1NF (Partial Dependency): Consider a table OrderDetails with:

  • Composite primary key: (OrderID, ProductID)
  • Non-key attributes: ProductName, Quantity, Price

Here, ProductName depends only on ProductID (partial dependency), violating 2NF.

Solution (2NF): Split into two tables:

  1. Orders (OrderID, ProductID, Quantity, Price)
  2. Products (ProductID, ProductName)

Now, ProductName depends only on ProductID (removed partial dependency).


Third Normal Form (3NF)

A table is in 3NF if:

  1. It is in 2NF.
  2. No transitive dependency exists (non-key attributes should not depend on other non-key attributes).

Problem in 2NF (Transitive Dependency): Consider a table Student with:

  • Primary key: StudentID
  • Non-key attributes: Name, Department, DeanName

Here, DeanName depends on Department (not directly on StudentID), causing transitive dependency (violates 3NF).

Solution (3NF): Split into two tables:

  1. Students (StudentID, Name, Department)
  2. Departments (Department, DeanName)

Now, DeanName depends only on Department (removed transitive dependency).


Key Takeaway:

  • 2NF eliminates partial dependencies (composite keys).
  • 3NF eliminates transitive dependencies (non-key → non-key). Normalization ensures data integrity, efficiency, and minimal redundancy.

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