System Design Cases10 lessons22 quiz questions

Design: Search Autocomplete (Google)

10-session plan from trie basics to personalized, multi-language, real-time autocomplete.

What You Will Learn

  • Requirements & Trie Basics
  • Top-K Cache Optimization
  • Frequency Calculation Pipeline
  • Trie Update & Deployment
  • Caching Layers
  • API Design & Client Integration
  • Multi-Language Support
  • Personalization & Trending
  • Content Moderation
  • Mock Interview

Overview

10-session plan from trie basics to personalized, multi-language, real-time autocomplete. Design: Search Autocomplete (Google): Requirements & Scope Functional Requirements Before designing anything, clarify what the system needs to do: Core features — What are the must-have features? User types — Who uses the system? End users, admins, API consumers? Scale — How many users? What's the read/write ratio? Non-Functional Requirements Availability: 99.9% (8.7 hours downtime/year) or 99.99%? Latency: < 100ms for reads? < 500ms for writes? Consistency: Strong or eventual? CAP trade-off? Durability: Can we lose data? How much? Clarifying Questions to Ask What's the expected DAU (Daily Active Users)? What's the read-to-write ratio? Do we need real-time updates? What's our budget constraint? What geography do we serve? Interview Tip "I always spend the first 5 minutes clarifying requirements. This shows structured thinking and prevents designing the wrong system. I explicitly separate functional from non-functional requirements." Java Implementation Python Implementation

Sample Quiz Questions

1. What data structure is primarily used for efficient prefix-based autocomplete?

·Difficulty: easy/5

2. Why is SQL LIKE 'app%' insufficient for autocomplete at Google scale?

·Difficulty: medium/5

3. What is the 'top-K cache at each node' optimization in a trie?

·Difficulty: medium/5

+ 19 more questions available in the full app.

Related Topics

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