January 26, 2023
Distributed Systems System Design Interview
Consistent hashing is a technique used in computer programming to evenly distribute data across a cluster of nodes. It is used to ensure that data is spread out evenly across the nodes in a cluster and that the data is not concentrated in one node.
The basic idea behind consistent hashing is to assign each node in the cluster a unique hash value. When a new node is added to the cluster, the hash values of the existing nodes are re-calculated to ensure that the data is evenly distributed across the cluster.
To implement consistent hashing, a hash function is used to map data to a node in the cluster. The hash function takes a data item and returns a hash value that is used to determine which node the data item should be stored on. The hash function should be designed to ensure that the data is evenly distributed across the nodes in the cluster.
When a node is added or removed from the cluster, the hash values of the existing nodes are recalculated to ensure that the data is evenly distributed across the nodes in the cluster. This ensures that the data is not concentrated in one node and that the data is evenly distributed across the cluster.
Consistent hashing is used in distributed systems such as distributed databases, distributed caches, and distributed file systems. It is also used in distributed hash tables and distributed key-value stores.
*** Created by ChatGPT on Jan 26, 2023.
