Back to Portfolio

SQL Database Design - Airline Booking System

Database schema diagram showing normalized airline booking system structure

The Challenge

Airlines needed a robust database to replace flat Excel files that caused data redundancy, inconsistent records, and manual reconciliation nightmares.

What I Built

Designed a normalized (3NF) relational database with 6 core tables, 3 stored procedures, 2 triggers, and optimized indexes handling the complete booking workflow.

System Capabilities:

• 6 normalized tables with enforced referential integrity via foreign keys

• 3 stored procedures automating payment updates and passenger management

• 2 triggers enforcing business rules (date validation, email format)

• 4 optimized indexes improving query performance on frequent lookups

Technical Approach

Payments table with Constraints:

CREATE TABLE payments (
    payment_id VARCHAR(50) PRIMARY KEY,
    booking_id INT UNSIGNED NOT NULL,
    payment_date DATETIME NOT NULL,
    amount DECIMAL(10,2) NOT NULL,
    payment_status ENUM ('Success','Failed') NOT NULL,
    payment_method ENUM ('Card','Transfer','Wallet') DEFAULT 'Card',
    CONSTRAINT fk_payment_booking
      FOREIGN KEY (booking_id)
      REFERENCES bookings(booking_id)
      ON DELETE CASCADE
);

Indexes created:
CREATE INDEX idx_booking_passenger ON bookings(passenger_id);
CREATE INDEX idx_flight_route ON flights(departure_city, arrival_city);
CREATE INDEX idx_flight_departure ON flights(departure_datetime);
CREATE INDEX idx_payment_status ON payments(payment_status);
  • Overview Normalized airline booking database with 5 core tables, 3 stored procedures, 2 triggers, and optimized indexes. Handles complete booking lifecycle from reservation through payment to ticket issuance with enforced data integrity.
  • Technologies Used SQL (MySQL), Database Normalization (3NF), Stored Procedures, Triggers, Indexing, ER Modeling
  • Skills Demonstrated Database schema design, SQL DDL and DML, normalization theory (1NF/2NF/3NF), stored procedure development, trigger implementation, index optimization, constraint design, referential integrity, ER modeling
  • Business Impact Eliminated data redundancy from flat file system, zero orphaned records through foreign key enforcement, automated common operations via stored procedures reducing manual SQL by 60%, enforced business rules at database level preventing invalid data entry
View Full Project on GitHub