What is LRU caching and how does it work in database systems?
An example of an AI chatbot conversation about LRU caching in database systems.
What is LRU caching and how does it work in database systems?
LRU stands for Least Recently Used. It's a caching algorithm that removes the least recently accessed items when the cache reaches its limit.
Why is LRU caching important for database performance?
LRU caching improves performance by keeping frequently accessed data in memory, reducing the need for slower disk reads.
Can you explain how LRU caching is implemented in a database?
Sure! LRU caching can be implemented using a combination of a hash map and a doubly linked list to track access order.
What are some alternatives to LRU caching?
Alternatives include FIFO (First In, First Out), LFU (Least Frequently Used), and ARC (Adaptive Replacement Cache).
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