Database Sharding Calculator
Analyze data distribution across database shards with multiple strategies. Visualize load balancing, identify hotspots, and optimize your sharding architecture.
Sharding Configuration
Distribution Statistics
Test Specific Keys
Common Sharding Strategies
Choose the right sharding strategy for your use case
Hash-Based Sharding
Distributes data evenly using a hash function. Best for uniform distribution without range queries.
Range-Based Sharding
Splits data based on value ranges. Ideal for time-series data and ordered datasets.
Geographic Sharding
Routes data based on geographic location. Reduces latency for regional users.
Consistent Hashing
Minimizes data movement when adding/removing shards. Ideal for dynamic scaling.
Modulo Sharding
Simple distribution using modulo operation. Easy to implement but challenging to scale.
Custom Sharding
Define custom logic based on business requirements. Maximum flexibility for complex scenarios.
Sharding Best Practices
Key considerations for implementing database sharding
Do's
- Choose the right sharding keySelect a key that distributes data evenly and aligns with query patterns
- Plan for growthDesign your sharding strategy to accommodate future scaling
- Monitor distributionRegularly check for hotspots and rebalance if necessary
- Implement proper routingUse a robust routing layer to direct queries to the correct shard
Don'ts
- Avoid cross-shard joinsMinimize queries that require data from multiple shards
- Don't use auto-increment IDsSequential IDs can cause hotspots in certain sharding strategies
- Don't ignore data localityKeep related data together to minimize cross-shard queries
- Avoid uneven distributionPoor key selection can lead to some shards being overloaded