How does the LRU cache implementation work?
An example of an AI chatbot conversation about LRU cache implementation.
How does the LRU cache implementation work?
The LRU (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 used item to make space for new ones.
What data structures are typically used for LRU implementation?
Typically, a combination of a hash map and a doubly linked list is used. The hash map provides O(1) access to cache items, while the linked list maintains the order of usage.
Can you explain how the eviction policy works?
Sure! The eviction policy removes the least recently used item when the cache exceeds its capacity. This is done by keeping track of the order of usage in the linked list.
What are the advantages of using an LRU cache?
The main advantages are improved performance for frequently accessed data and efficient memory usage by removing less used items.
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