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LRU Cache

LRU Cache

#lru-cache

1 followers·9 articles

LRU Cache

#lru-cache·1 followers·9 articles

LRU Cache

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Sourav Mansingh

Sourav Mansingh

curiousdisciple.hashnode.dev·Aug 25, 2024

Aug 25, 2024

Java Caching Framework: Design, Implement, and Optimize

I've been searching for full-time opportunities as a Backend Software Engineer and have been attending many interviews that test my Java fundamental skills, system design concepts, and coding standards. To be honest, I've been struggling in these are...

Java Caching Framework: Design, Implement, and Optimize

Discuss·44 reads

Chetan Datta

chetan77.hashnode.dev·Aug 18, 2024

Aug 18, 2024

LRU Cache

Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. (link) Implement the LRUCache class: LRUCache(int capacity) Initialize the LRU cache with positive size capacity. int get(int key) Return the value of the ke...

LRU Cache

Discuss·10 reads

Jimil Shah

dev-diaries.hashnode.dev·Jun 16, 2024

Jun 16, 2024

In-built memoization in Python with @functools.lru_cache()

Memoization, in computer programming, is essentially an optimization technique wherein return values from a function are memorized/stored in a cache so that they don’t have to be computed again when required. Memoization makes your code faster and he...

Discuss·6 reads

Yilia Lin

apisix.hashnode.dev·Jan 26, 2024

Jan 26, 2024

Multi-layer Caching in API Gateway Tackles High Traffic Challenges

As the use of APIs continues to grow in modern development, the demand for an efficient and reliable API gateway has also increased. The API gateway serves as the singular entry point for all incoming API requests, allowing them to be efficiently man...

Multi-layer Caching in API Gateway Tackles High Traffic Challenges

Discuss·1 like·5 reads

Mide Dickson

blog.withmide.com·Jan 12, 2024

Jan 12, 2024

Building an LRU (Least Recently Used) Cache in GO

Hey there! I am sure you are ready to hop in and get your hands dirty with this interesting topic. But before we go into all that hard work, let me tell you about my very good friend, Emma. Emma works in a library, so every time I go there to get a b...

Building an LRU (Least Recently Used) Cache in GO

Discuss·35 likes·233 reads

Alex Kang

alexkang.hashnode.dev·May 03, 2023

May 03, 2023

LRU Cache (LeetCode)

Problem Description https://leetcode.com/problems/lru-cache/ Design a data structure that follows the constraints of a Least Recently Used (LRU) cache. Implement the LRUCache class: LRUCache(int capacity) Initialize the LRU cache with positive size ...

LRU Cache (LeetCode)

Discuss·28 reads

Nishanth Prabhu

Nishanth Prabhu

nishanthprabhu.hashnode.dev·Apr 22, 2023

Apr 22, 2023

Implement a Cache with Time-to-Live (TTL)

Problem Description You are building a backend service that needs to perform database lookups for various queries. However, the database is slow and it's not feasible to query it for every request. To speed up your service, you decide to implement a ...

Implement a Cache with Time-to-Live (TTL)

Discuss·66 reads

Javascript Interview- The Hard Parts

Samuel Sorial

samuel-sorial.hashnode.dev·Oct 27, 2022

Oct 27, 2022

Database Buffer Pool - Part 2

Introduction As explained in Database Buffer Pool - Part 1, a buffer pool is a limited chunk of memory, which means that whenever we bring something from the disk, we need to evict something from the buffer pool and replace it. Buffer replacement is ...

Database Buffer Pool - Part 2

Discuss·1 like·261 reads

Keshav Bist

ksvbist.hashnode.dev·Oct 02, 2022

Oct 02, 2022

Implementing LRU Cache in Go

Introduction Least Recently Used (LRU) cache organizes recently added/accessed items at the front of the list while pushing the least used items to the back. The number of items that can be stored in the LRU cache is fixed, thus least used item is ev...

Implementing LRU Cache in Go

Discuss·1033 reads