Database Tool

Database Sharding Calculator

Analyze data distribution across database shards with multiple strategies. Visualize load balancing, identify hotspots, and optimize your sharding architecture.

Sharding Configuration

Total number of records to be distributed across shards
Distribution method affects balance efficiency

Distribution Statistics

Required Shards
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Rows per Shard
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Actual Shard Size
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Total Storage
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Storage Efficiency
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Growth Headroom
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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.

Best for: User data, Sessions

Range-Based Sharding

Splits data based on value ranges. Ideal for time-series data and ordered datasets.

Best for: Logs, Time-series, Orders

Geographic Sharding

Routes data based on geographic location. Reduces latency for regional users.

Best for: Multi-region apps, CDN

Consistent Hashing

Minimizes data movement when adding/removing shards. Ideal for dynamic scaling.

Best for: Cache systems, NoSQL

Modulo Sharding

Simple distribution using modulo operation. Easy to implement but challenging to scale.

Best for: Small datasets, Testing

Custom Sharding

Define custom logic based on business requirements. Maximum flexibility for complex scenarios.

Best for: Complex business logic

Sharding Best Practices

Key considerations for implementing database sharding

Do's

  • Choose the right sharding key
    Select a key that distributes data evenly and aligns with query patterns
  • Plan for growth
    Design your sharding strategy to accommodate future scaling
  • Monitor distribution
    Regularly check for hotspots and rebalance if necessary
  • Implement proper routing
    Use a robust routing layer to direct queries to the correct shard

Don'ts

  • Avoid cross-shard joins
    Minimize queries that require data from multiple shards
  • Don't use auto-increment IDs
    Sequential IDs can cause hotspots in certain sharding strategies
  • Don't ignore data locality
    Keep related data together to minimize cross-shard queries
  • Avoid uneven distribution
    Poor key selection can lead to some shards being overloaded