Understanding Consistent Hashing
Posted on by Tom
Introduction
Consistent hashing is a distributed hashing scheme that operates independently of the number of servers or objects in a distributed hash table.
The Problem
In traditional hash tables, when the number of slots changes, most keys need to be remapped. This is particularly problematic in distributed systems where nodes can come and go frequently.
How Consistent Hashing Works
Consistent hashing maps both servers and keys to the same space...
Implementation Example
fun createHashRing(nodes: List): SortedMap {
val hashRing = sortedMapOf()
nodes.forEach { node ->
val hash = node.hashCode()
hashRing[hash] = node
}
return hashRing
}
Applications
- Distributed Caching Systems (e.g., Memcached)
- Load Balancers
- Content Delivery Networks (CDNs)