What are the different data eviction strategies in Redis?
Redis offers several data eviction strategies, including LRU (Least Recently Used), LFU (Least Frequently Used), and TTL (Time to Live). Each strategy has its own use cases and benefits.
Can you explain how LRU works?
LRU evicts the least recently used keys first. It keeps track of the order in which keys are accessed, removing the oldest ones when memory is full.
What about LFU? How does it differ from LRU?
LFU evicts the least frequently used keys instead of the least recently used ones. It counts how often each key is accessed, prioritizing the removal of those that are accessed the least.
Are there any scenarios where TTL is preferred?
Yes, TTL is useful for caching data that has a limited lifespan, like session data or temporary information, ensuring it expires after a set time.
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