Shards
- Shards are horizontally scalable, allowing us to add more shards as our data grows to handle increasing load.
- Each shard in a sharded cluster can be located on a different physical machine or server, distributing the data and workload across multiple nodes.
- Shards can be added to a sharded cluster dynamically, allowing us to scale our database infrastructure without downtime.
- MongoDB’s sharding architecture automatically redistributes data across shards to ensure a balanced workload and optimal performance.
- Shards communicate with each other and with the query routers to ensure data consistency and efficient query routing in a sharded cluster.
- Configuring sharding involves defining a sharded key, which determines how data is partitioned across shards based on the key’s value.
Sharded Cluster Components in MongoDB
MongoDB’s sharding capability enables horizontal scaling by distributing data across multiple servers or “shards.” Understanding the components of a sharded cluster is crucial for managing and scaling database infrastructure efficiently.
In this article, We will explores the key components of a sharded cluster in MongoDB, including shards, primary shards, config servers, and mongos instances.