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.
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• 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:
    def __init__(self):
        pass

    def execute(self):
        print('Executing Sharded Database Pattern')