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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.

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A centralized repository optimized for analytical queries that integrates data from multiple operational sources.
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Database Constraint
Rules enforced by the database to maintain data integrity, including NOT NULL, UNIQUE, CHECK, PRIMARY KEY, and FOREIGN KEY.
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A data structure that improves the speed of data retrieval operations on database tables at the cost of additional storage.
EXPLAIN ANALYZE
A PostgreSQL command that shows the execution plan of a query along with actual runtime statistics for performance tuning.
Elastic Search
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