Design Search Autocomplete Service
Design a large-scale autocomplete service for a search engine.
Core Functionality
The system should return the top 5 suggested full queries in under 100 ms as a user types a query prefix.
Ranking Criteria
Suggestions must be ranked based on:
- Popularity
- Recent trends
- Basic quality filters
System Characteristics
The service must be designed to handle:
- Very high read traffic
- Frequent query updates
- Hot prefixes (common query beginnings)
- Continuous ingestion of new search logs
Discussion Points
Your design should cover:
- API definition
- Data model
- Indexing strategy
- Ranking mechanisms
- Cache design
- Online and offline update pipelines
- Sharding strategy
- Strategies to maintain result freshness and reliability
AI interview prep
Core dilemma
Balancing ultra-low latency reads for a massive, frequently updated, and dynamically ranked dataset against the complexity of real-time data ingestion and index updates.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design Search Autocomplete Service
Design a large-scale autocomplete service for a search engine.
Core Functionality
The system should return the top 5 suggested full queries in under 100 ms as a user types a query prefix.
Ranking Criteria
Suggestions must be ranked based on:
- Popularity
- Recent trends
- Basic quality filters
System Characteristics
The service must be designed to handle:
- Very high read traffic
- Frequent query updates
- Hot prefixes (common query beginnings)
- Continuous ingestion of new search logs
Discussion Points
Your design should cover:
- API definition
- Data model
- Indexing strategy
- Ranking mechanisms
- Cache design
- Online and offline update pipelines
- Sharding strategy
- Strategies to maintain result freshness and reliability