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Sharding Deep Dive for System Design Interviews
Last Updated: December 18, 2025
Ashish Pratap Singh
8 min read
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Sharding Deep Dive for System Design Interviews...
1. Why Sharding Matters
1.1 The Single Server Limit
1.2 Vertical Scaling vs Horizontal Scaling
1.3 What Is Sharding?
1.4 Benefits of Sharding
1.5 Costs of Sharding
2. Horizontal vs Vertical Partitioning
2.1 Vertical Partitioning
2.2 Horizontal Partitioning (Sharding)
2.3 Comparison
3. Sharding Strategies
3.1 Range-Based Sharding
3.2 Hash-Based Sharding
3.3 Directory-Based Sharding
3.4 Geographic Sharding
3.5 Strategy Comparison
4. Consistent Hashing
4.1 The Problem with Simple Hash Sharding
4.2 How Consistent Hashing Works
4.3 Adding a Shard
4.4 Virtual Nodes
4.5 Implementation
4.6 Consistent Hashing in Practice
5. Choosing a Shard Key
5.1 Shard Key Requirements
5.2 Common Shard Key Choices
5.3 Compound Shard Keys
5.4 Shard Key Anti-Patterns
5.5 Decision Framework
6. Rebalancing and Resharding
6.1 When to Rebalance
6.2 Rebalancing Strategies
6.3 Online Resharding Process
6.4 Minimizing Resharding
7. Cross-Shard Operations
7.1 Cross-Shard Queries
7.2 Cross-Shard JOINs
7.3 Distributed Transactions
7.4 Saga Pattern
7.5 Global Secondary Indexes
8. Sharding Patterns and Architectures
8.1 Application-Level Sharding
8.2 Proxy-Based Sharding
8.3 Native Database Sharding
8.4 Hybrid Approaches
9. Sharding in Practice
9.1 MongoDB Sharding
9.2 Cassandra Partitioning
9.3 Vitess (MySQL Sharding)
9.4 CockroachDB Automatic Sharding
9.5 Comparison
10. Common Interview Questions
10.1 Design Questions
10.2 Troubleshooting Questions
10.3 Quick Reference
Summary
References
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