Understanding Sharding in MongoDB
Before diving into ranged sharding, let’s briefly review the concept of sharding in MongoDB. Sharding is the process of horizontally partitioning data across multiple servers (or shards) to improve scalability and performance. MongoDB automatically distributes data across shards based on a specified sharding key.
Ranged Sharding in MongoDB
Sharding is a critical feature in MongoDB that allows for horizontal scaling of databases by distributing data across multiple servers. Ranged sharding is a specific sharding strategy where data is partitioned based on a specified range of values. In this article, we’ll delve into the concept of ranged sharding in MongoDB, covering its principles, and implementation, and providing beginner-friendly examples with outputs to illustrate its functionality.