Consistent Hashing | How it works & solve rehashing problem ?

Chapters
00:00 - Intro
00:31 - Rehashing Problem
04:22 - How Consistent Hashing works ?
10:50 - Problems with basic approach
14:25 - Virtual Nodes
18:24 - Finding Affected Keys
20:30 - Summary

In this informative video, we will explore the concept of consistent hashing and how it addresses the rehashing problem in distributed systems.

We will begin by explaining the rehashing problem in detail, which occurs when a new node is added or an existing node is removed from a distributed system. This can result in a significant amount of data being moved from one node to another, which can be time-consuming and inefficient.

We will then introduce the concept of consistent hashing, which provides a solution to this problem by distributing data across a large number of virtual nodes. We will explain how consistent hashing works and how it helps to ensure that only a small amount of data needs to be moved when a node is added or removed.

We will also cover the concept of virtual nodes and how they are used in consistent hashing. We will explain how virtual nodes are created and how they help to distribute data evenly across a distributed system.

We will also discuss how to find the affected keys when a node is added or removed from a distributed system using consistent hashing. We will explain the process of determining which keys need to be moved and how to do it efficiently.

Finally, we will summarize the concept of consistent hashing and its applications in distributed systems. We will explain how consistent hashing can improve the performance and scalability of a distributed system and how it is used in popular distributed systems like Apache Cassandra and Riak.

Overall, this video is a comprehensive guide to understanding consistent hashing and its applications in distributed systems. Whether you're a beginner or an experienced developer, this video is sure to provide valuable insights into this important topic.