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Sharding:?

Q: Sharding:?

Short answer: Sharding involves splitting data into smaller, more manageable pieces called shards. Explain a bit more Each shard is stored on a different server (or cluster) to distribute the load. Typically, horizontal partitioning is used in sharding, where rows (rather than columns) of a database table are distributed across multiple databases. Example: A user table could be sharded by user ID, where all users with IDs 1-1000 are stored in one database, 1001-2000 in another, and so on. Real-world example (ShopNest) ShopNest’s SQL Server database stores customers, products, and orders. Good indexes and clear foreign keys keep checkout queries fast and safe. Say this in the interview Define — one clear sentence (the short answer above). Example — relate it to a project like ShopNest or your real work. Trade-off — when you would not use it.

Short answer: Sharding involves splitting data into smaller, more manageable pieces called shards.

Explain a bit more

Each shard is stored on a different server (or cluster) to distribute the load. Typically, horizontal partitioning is used in sharding, where rows (rather than columns) of a database table are distributed across multiple databases. Example: A user table could be sharded by user ID, where all users with IDs 1-1000 are stored in one database, 1001-2000 in another, and so on.

Real-world example (ShopNest)

ShopNest’s SQL Server database stores customers, products, and orders. Good indexes and clear foreign keys keep checkout queries fast and safe.

Say this in the interview

Define — one clear sentence (the short answer above).
Example — relate it to a project like ShopNest or your real work.
Trade-off — when you would not use it.

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