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Sharding and Replication in MongoDB
Why do always interviewers ask about it?
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In today’s data-driven world, handling large datasets efficiently is crucial for application performance and scalability. MongoDB, one of the most popular NoSQL databases, uses techniques like sharding and replication to manage this growing data. Understanding these concepts is vital, and it’s why interviewers often ask about them. But let’s break it down in a simple, human-friendly way, without the buzzwords.
What is Sharding in MongoDB?
Imagine you’re running a library, and you’ve got so many books that one shelf isn’t enough. You need more shelves and have to distribute the books based on genres or categories. This way, you avoid cramming all books onto a single shelf and finding them becomes faster.
In MongoDB, sharding works the same way. When your data grows too big for one server, you split it into smaller chunks and distribute it across multiple servers (shards). Each shard holds a portion of the data, and together they form a sharded cluster.
