An Intro to DB Sharding

Database sharding is a horizontal scaling strategy that partitions data across multiple servers to improve query performance and handle larger workloads. The guide covers three main sharding strategies: key-based (using hash functions for even distribution), range-based (partitioning by value ranges), and directory-based (using lookup tables). While sharding offers benefits like improved performance and reliability, it introduces complexity, potential data imbalance, and limitations on cross-shard operations. The article emphasizes that sharding should be a last resort after exhausting simpler options like indexing and replication, and provides guidance on choosing strategies based on read/write patterns and avoiding common pitfalls.