How do I implement cache eviction in my application?

How do I implement cache eviction in my application?

Cache eviction is crucial for managing memory and ensuring data freshness. There are several strategies you can use, such as LRU (Least Recently Used), LFU (Least Frequently Used), and TTL (Time to Live). Which one are you considering?

I'm thinking about using LRU. Can you explain how it works?

Sure! LRU keeps track of the order in which items are accessed. When the cache reaches its limit, it removes the least recently used item to make space for new data. This way, frequently accessed data remains available.

What are the advantages of using LRU over other strategies?

LRU is effective for workloads where recently accessed data is likely to be accessed again. It balances memory usage and performance well, making it a popular choice for many applications.

Are there any libraries or tools that can help me implement LRU caching?

Yes, many programming languages have libraries for LRU caching. For example, in Python, you can use functools.lru_cache, and in Java, you can use LinkedHashMap to implement LRU behavior.