Design a Distributed File Locking System
Design a system that provides exclusive read/write access to shared files across a distributed cluster. Discuss using ZooKeeper or a dedicated lock service.
Why Interviewers Ask This
Interviewers ask this to evaluate your ability to handle distributed consistency, race conditions, and fault tolerance in high-concurrency environments. They specifically want to see if you understand the CAP theorem trade-offs when designing coordination services like ZooKeeper. The question tests your capacity to translate theoretical consensus algorithms into a practical, production-grade locking mechanism that prevents data corruption across a cluster.
How to Answer This Question
Key Points to Cover
- Explicitly choosing a proven coordination service like ZooKeeper over building a custom consensus layer
- Using ephemeral sequential nodes to handle automatic lock release on client failure
- Explaining the logic of comparing sequence numbers to determine lock ownership fairly
- Addressing the thundering herd problem through targeted notifications rather than broadcasts
- Demonstrating understanding of CAP theorem trade-offs regarding availability versus strict consistency
Sample Answer
Common Mistakes to Avoid
- Suggesting a naive timeout-based approach where clients check if a lock is stale, which fails during network partitions
- Ignoring the difference between exclusive and shared locks, leading to potential data corruption scenarios
- Failing to mention ephemeral nodes, resulting in deadlocks if the client process crashes unexpectedly
- Overlooking the performance cost of having every waiting client watch the lock holder instead of chaining notifications
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