Google Onsite Interview Question #14: Design a High-Throughput Thread-Safe LRU Cache with TTL
📰 Medium · Programming
Learn to design a high-throughput thread-safe LRU cache with TTL for Google onsite interviews
Action Steps
- Design a basic LRU cache using a hash map and a doubly linked list
- Implement thread safety using locks or atomic operations
- Add a TTL (time-to-live) feature to expire cache entries
- Optimize the cache for high throughput using techniques like caching frequently accessed items
- Test the cache implementation using multiple threads and verify its correctness
Who Needs to Know This
Software engineers and system designers can benefit from this knowledge to improve their system's performance and scalability
Key Insight
💡 A high-throughput thread-safe LRU cache with TTL can be achieved by combining a hash map, doubly linked list, and atomic operations
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💡 Design a thread-safe LRU cache with TTL for high-performance systems
Key Takeaways
Learn to design a high-throughput thread-safe LRU cache with TTL for Google onsite interviews
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