Database Sharding Guide | Horizontal Partitioning & Database Scaling

Database sharding is a technique for scaling databases by dividing the data into smaller, more manageable pieces called shards. These shards are then distributed across multiple servers or databases.

You should consider sharding when your database is approaching its capacity limits, experiencing performance bottlenecks due to high read or write loads, or if you need to distribute data geographically for improved access times.

Common sharding strategies include range sharding, which divides data based on ranges of values; hash sharding, which uses a hashing algorithm to distribute data evenly across shards; and directory-based sharding, which utilizes a lookup service to route queries to the appropriate shard.

Selecting a good shard key is crucial for even data distribution and efficient query routing. Consider factors like the cardinality of the key (the number of distinct values), query patterns, and potential future growth when choosing your shard key.