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10 Hidden Pitfalls of Using Redis Distributed Locks
- Redis distributed locks are commonly used for data read/write concurrency but come with pitfalls.
- One major pitfall is the non-atomic nature of setnx + expire, leading to potential lock expiration issues.
- Using expiration time as part of the lock value can cause overwrites and inconsistencies in a concurrent environment.
- Forgetting to set an expiration time or failing to release locks after business logic are common pitfalls in lock implementations.
- Releasing locks non-atomically can lead to concurrency issues where one thread releases another's lock unintentionally.
- Preventing premature lock release can be achieved by extending expiration time or using monitoring mechanisms like Redisson.
- Using Redis distributed locks within @Transactional methods can lead to data consistency problems if locks are released prematurely.
- Consideration of reentrant lock requirements and handling Redis master-slave replication issues are crucial in lock design.
- To address master-slave replication problems, Redlock algorithm suggests using multiple independent Redis master nodes for higher availability.
- Redlock algorithm ensures lock safety by acquiring the lock on multiple master nodes and considering lock acquisition successful if a majority succeed in a given timeframe.
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