Best Programming Master

In this article we will learn how to design a LRU Cache, understand it’s cache replacement algorithm. We also look at description of LRU Cache with some examples. Then, we look at the implementation of this design in code with their complexity analysis. Caching is a method of organizing data in a faster memory, usually RAM to serve future requests of same data in a efficient way. It avoids repetitive main memory access by storing frequently accessed data in cache. However, the Cache size is usually not big enough to store large data sets compared to main memory. So, there is a need for cache eviction when it becomes full. There are many algorithms to implement cache eviction. LRU caching is a commonly used cache replacement algorithm. Least Recently Used (LRU) Cache organizes data according to their usage, allowing us to identify which data item hasn’t been used for the longest amount of time. The main idea is to evict the oldest data or the least recently used from the cache to ac