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What is Database Sharding?

A horizontal scaling strategy that distributes data across multiple database servers based on a partition key.

Sharding splits a database into shards, each on a separate server. A shard key (e.g., user_id) determines which shard stores each row. This distributes both data and query load, enabling horizontal scaling beyond a single server's capacity.

Challenges include cross-shard queries (joins across shards), rebalancing shards as data grows, maintaining consistency, and choosing an effective shard key. Some databases support native sharding (MongoDB, CockroachDB). Often avoided until truly needed due to complexity.

Related Terms

Index
A data structure that improves the speed of data retrieval operations on database tables at the cost of additional storage.
Foreign Key
A column that creates a link between two tables by referencing the primary key of another table.
B-Tree Index
The default index type in most databases that organizes data in a balanced tree structure for efficient searching, sorting, and range queries.
ETL (Extract, Transform, Load)
A data pipeline process that extracts data from sources, transforms it into a suitable format, and loads it into a destination system.
JOIN
An SQL operation that combines rows from two or more tables based on a related column between them.
Database Proxy
A middleware server that sits between applications and databases, providing connection pooling, load balancing, and query routing.
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