Data

Sharded Database Pattern

Description

Database Sharding is a type of database partitioning that separates very large databases into smaller, faster, more easily managed parts called data shards.

Where to use

  • Horizontal scaling of databases.
    • \n
  • Managing massive datasets.

Real World Example

A Global User Database is sharded by region: Users in US-East go to Shard A, Users in EU-West go to Shard B.

Code Example

class ShardedDatabasePattern:\n    def __init__(self):\n        pass\n\n    def execute(self):\n        print('Executing Sharded Database Pattern')