Key Concepts of Hashed Sharding
Let’s explore the key concepts underlying hashed sharding:
- Hash Function: MongoDB uses a hash function to map field values to a hash key. This hash key determines the shard where the document will be stored.
- Shard Key: The field used to determine how data is distributed across shards. For hashed sharding, the shard key must be of a single field with an indexed hash.
- Hashed Index: MongoDB creates a hashed index on the shard key field to efficiently distribute data across shards based on hash values.
Hashed Sharding in MongoDB
Sharding is a fundamental concept in MongoDB that allows for horizontal scaling of databases by distributing data across multiple servers. Hashed sharding is a specific sharding strategy that uses a hash function to determine how data is distributed among shards. In this article, we’ll delve into the concept of hashed sharding in MongoDB, covering its principles, and implementation, and providing beginner-friendly examples with outputs to illustrate its effectiveness.