System Design Cases 10 lessons 22 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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