MongoDB Sharding | MongoDB Tutorial

Sharding is the process of storing data records across multiple machines and is MongoDB’s approach to meeting the demands of data growth. As the size of the data increases, a single machine may not be sufficient to store the data nor provide an acceptable read and write throughput. Sharding solves the problem with horizontal scaling. With sharding, you add more machines to support data growth and the demands of read and write operations.


Sharding adds more servers to a database and automatically balances load across various servers. It provides additional write capacity by distributing the write load over a number of MongoDB instances. It splits the data set and distributes them across multiple databases, or shards. Each shard serves as an independent database, and together, multiple shards make up a single logical database. Sharding reduces the number of operations each shard handles.

This video explains the following -
1. What is sharding?
2. When to use sharding?
3. What is a shard?
4. What is a shard key?
5. Choosing a shard key
6. Ideal shard key
7. Range based shard key
8. Hash based sharding
9. Impact of shard keys on cluster operations
10. Production cluster architecture
11. Deploying a shard key cluster

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[veepee]

why are you just reading the slides... ?? how are you adding value ?? just curious