Interactive simulator for consistent hashing algorithm. See how keys are distributed across nodes in a hash ring, and understand how adding or removing nodes causes minimal key redistribution. Essential for understanding distributed systems and load balancing.
Why simulate consistent hashing?
Consistent hashing is fundamental to distributed systems. This simulator helps you understand how keys are mapped to nodes, how the hash ring works, and why consistent hashing minimizes redistribution when nodes are added or removed.
How consistent hashing works
Both nodes and keys are hashed onto a circle (hash ring). Each key is assigned to the first node encountered when moving clockwise. When a node is added or removed, only keys near that node need to be redistributed.
Good for
- Understand distributed system design
- Visualize hash ring key distribution
- Test node addition/removal scenarios
- Learn load balancing algorithms
Questions people ask
What is consistent hashing?
Consistent hashing is a technique for distributing keys across nodes in a way that minimizes redistribution when nodes are added or removed. It uses a hash ring where both nodes and keys are hashed onto a circle.
Why is it better than regular hashing?
With regular hashing, adding or removing a node causes all keys to be redistributed. Consistent hashing only redistributes keys near the affected node, making it ideal for dynamic distributed systems.
Where is consistent hashing used?
Consistent hashing is used in distributed databases (DynamoDB, Cassandra), content delivery networks (CDNs), and distributed caches (Redis Cluster, Memcached).