What is an LRU Cache and how does it work?
An example of an AI chatbot conversation about LRU Cache and its functionality.
What is an LRU Cache and how does it work?
An LRU Cache, or Least Recently Used Cache, is a data structure that stores a limited number of items. When the cache reaches its limit, it removes the least recently accessed item to make space for new ones.
Can you explain how it decides which item to remove?
Sure! The LRU Cache keeps track of the order in which items are accessed. When it needs to evict an item, it removes the one that hasn't been used for the longest time.
What are some common use cases for an LRU Cache?
Common use cases include caching database queries, web page data, and in-memory data storage for applications to improve performance.
How is it implemented in programming languages?
LRU Cache can be implemented using a combination of a hash map and a doubly linked list. The hash map provides fast access, while the linked list maintains the order of usage.
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