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Explain advanced database sharding strategies in large PHP systems.

Updated May 24, 2026

Short answer

Database sharding distributes data across multiple databases to improve scalability and throughput.

Deep explanation

Single databases eventually become scalability bottlenecks because of:

  • storage limitations
  • CPU saturation
  • write contention
  • replication lag
  • connection exhaustion

Sharding horizontally partitions data across independent databases.

Sharding strategies:

  1. Range-Based Sharding

Examples:

  • users 1–1M → shard A
  • users 1M–2M → shard B

Simple but causes hotspot risks.

  1. Hash-Based Sharding

Uses hashing functions for balanced distribution.

Pros:

  • better load balancing

Cons:

  • difficult rebalancing
  1. Geographic Sharding

Partitions by region.…

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