How does LRU caching work and how can I implement it?

How does LRU caching work and how can I implement it?

LRU stands for Least Recently Used. It's a caching algorithm that removes the least recently used items first. To implement it, you can use a combination of a hash map and a doubly linked list.

Can you explain how the hash map and doubly linked list work together?

Sure! The hash map allows for O(1) access to cache items, while the doubly linked list maintains the order of usage. When an item is accessed, it's moved to the front of the list, and when the cache exceeds its limit, the item at the back (least recently used) is removed.

What programming languages can I use to implement LRU caching?

You can implement LRU caching in various programming languages like Python, Java, C++, and JavaScript. Each language has its own libraries and data structures that can help.

Are there any libraries that can help with LRU caching?

Yes, many 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 caching.