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Food Delivery Backend

Design order tracking, restaurant management, and delivery routing.

2h
0 problems
Topic Progress0%

Requirements & Scope

Order Flow

  1. User browses restaurants (by location)
  2. Add items to cart
  3. Place order -> Payment
  4. Restaurant accepts/rejects
  5. Driver assigned -> Pickup
  6. Driver delivers
  7. User rates

Functional Scope

  • Browse restaurants with real-time menu and availability
  • Cart management with item customization and add-ons
  • Multi-step checkout: payment, tip, delivery instructions
  • Live order status with ETA and driver location tracking
  • Push notifications for order updates and driver arrival
  • Rating and review system for restaurants and drivers

Architecture & Real-time Tracking

Geospatial Driver Search

Redis GEORADIUS for finding nearby drivers (5km radius)

Real-time Location

  • WebSocket for live updates
  • Driver location updates every 5 seconds
  • Broadcast to connected clients

Event-Driven

Kafka for order state changes, decoupled services

Key Points

  • Understanding Food Delivery Backend is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Database Design

Tables

  • orders(id, user_id, restaurant_id, status, items JSONB, total, delivery_address)
  • deliveries(id, order_id, driver_id, status, current_location POINT, estimated_arrival)

Geospatial Index

CREATE INDEX idx_driver_location ON driver_locations USING GIST(location);

Key Points

  • Understanding Food Delivery Backend is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Practice Problems

0/3solved
Implement Food Delivery Backend

Design and implement a solution for Food Delivery Backend in a backend system. Consider scalability, error handling, and production readiness.

Solution
// Food Delivery Backend implementation
// Key aspects: validation, error handling, logging, testing

public class FoodDeliveryBackend {
    // Production-ready implementation
}
Food Delivery Backend Edge Cases

Identify and handle edge cases for Food Delivery Backend. What happens under high load, with invalid input, or during failures?

Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency
Food Delivery Backend Testing Strategy

Write a testing strategy for Food Delivery Backend. Include unit tests, integration tests, and performance tests.

Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Quiz

1. How to find nearby drivers efficiently?

Question 1 options

2. Why use WebSocket for order tracking?

Question 2 options

3. What is the primary purpose of Food Delivery Backend?

Question 3 options

4. What is a common mistake when implementing Food Delivery Backend?

Question 4 options

Flashcards

Question

How to find nearby drivers?

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Answer

Geospatial index: Redis GEORADIUS or PostGIS

Question

Real-time tracking uses?

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Answer

WebSocket for live location updates

Question

What is Food Delivery Backend?

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Answer

Food Delivery Backend is a key concept in backend development.

Question

When to use Food Delivery Backend?

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Answer

Use Food Delivery Backend when building production systems that require reliability, scalability, and maintainability.

Question

Food Delivery Backend best practices

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Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Revision Notes

Key Takeaways

  • 1.Geospatial indexes for nearby driver search
  • 2.WebSocket for real-time location updates
  • 3.Event-driven for order state changes
  • 4.Redis stores driver locations

Interview Tips

  • •Explain full order lifecycle
  • •Design driver matching algorithm

Cheat Sheet

Food Delivery

  • Tracking: WebSocket + Geospatial index
  • Driver Search: Redis GEORADIUS (5km)
  • Events: Kafka for order states
  • Location: 5-second updates