Sharding (overview) in MongoDB

🔹 What is Sharding? Sharding is a method of splitting large data across multiple machines (servers) . Instead of storing all data in one server MongoDB distributes data into smaller parts called shards Simple: Big data → split → store on multiple servers 🔹 Why Sharding is Used Handles very large data Improves performance Supports horizontal scaling 🔹 How it Works Data is divided based on a shard key Each shard stores a portion of data MongoDB automatically routes queries 🔹 Example Users collection with millions of records: Shard 1 → users A–M Shard 2 → users N–Z Data is distributed 🔹 When to Use Sharding Use sharding when: Data size is very large Single server cannot handle load Queries are becoming slow High read/write traffic Need to scale horizontally 🔹 When NOT to Use Small datasets Low traffic applications Can be handled with indexing or replication 🔹 Key Term Shard Key → field used to divide data Choosing good shard key is very important Simple Understanding Sharding = distribute data Helps with scaling and performance