I Built a Consistent Hashing Ring in Pure Python and Finally Understood How Cassandra...
Consistent hashing limits key redistribution to ~25% when adding nodes vs 75% with naive modulo, using virtual nodes for uniform load distribution. Critical for Cassandra, Redis Cluster: minimizes data movement and cache misses during datacenter scaling.
I Built a Consistent Hashing Ring in Pure Python and Finally Understood How Cassandra Distributes Data
I've been using Cassandra and Redis Cluster for years. I knew consistent hashing was "how they work." But I never truly got it until I built one myself from scratch, in pure Python, with zero dependencies.
This post is about what I learned doing that.
The Problem Consistent Hashing Solves
Imagine you have 3 servers and 1 million keys. The naive approach: server = hash(key) % 3.
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