What are the common mistakes in LRU caching?
An example of an AI chatbot conversation about common mistakes in LRU caching.
What are the common mistakes in LRU caching?
Some common mistakes include not handling cache eviction properly, overestimating cache size, and ignoring access patterns.
Can you explain how improper eviction can affect performance?
Improper eviction can lead to cache thrashing, where frequently accessed items are removed, causing more cache misses.
What is cache thrashing?
Cache thrashing occurs when the cache is constantly evicting and reloading items, leading to poor performance.
How can I avoid these mistakes in my implementation?
To avoid mistakes, monitor access patterns, adjust cache size based on usage, and implement a robust eviction policy.
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