LRU Cache Implementation Explained Step-By-Step
What is an LRU Cache?
Any cache that follows the LRU or Least Recently Used Eviction Policy is known as LRU Cache.
Some of the important rules for implementing an LRU Cache are as follows:
Inserting an element - O(1) time complexity
Removing an element - O(1) time complexity
Fetching an element - O(1) time complexity
The above rules require us to use multiple data structures to implement an LRU Cache
We use a Double Linked List for constant time insertion and deletions for our cache implementation
We also use a Map Data Structure for constant time retrieval of the data from our cache.
Below is the link to the code. It is written in Javascript but the concept extends easily to other programming languages with the same rules.
https://gist.github.com/dashsaurabh/b...
If you want to read about it, this implementation is also explained on my blog
http://progressivecoder.com/lru-cache...
#lrucache #linkedlist #algorithms #datastructures #interviewquestions
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My General Tech Blog : http://www.progressivecoder.com
My Web Dev Focused Blog : https://www.progressivewebninja.com
My Github URL : https://www.github.com/dashsaurabh
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