Does this skill help with cross-shard consistency?

Yes, it includes implementation patterns for Two-Phase Commit (2PC) and the Saga pattern to ensure data integrity during transactions that span multiple database shards.

What sharding strategies does this Claude Code skill support?

It provides templates and implementation patterns for Hash-based (for even distribution), Range-based (for time-series data), and Directory-based (for multi-tenant isolation) sharding.

How can I prevent hotspots in my sharded database?

The skill guides you to choose high-cardinality, immutable shard keys and avoid sequential IDs in range sharding, ensuring traffic is distributed evenly across all nodes.

Why is shard key selection critical for performance?

A well-chosen shard key ensures that 80%+ of queries target a single shard. Without it, the system must perform a 'scatter-gather' scan across all shards, which can be 100x slower.

Database Sharding

Name: Database Sharding
Author: secondsky

bysecondsky

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Database Management

Implement horizontal scaling and high-performance sharding strategies for PostgreSQL and MySQL databases.

About

This skill equips Claude with production-ready patterns for horizontal database scaling, covering hash, range, and directory-based sharding strategies. It provides essential guidance on shard key selection, query optimization, and architectural best practices to avoid common pitfalls like hotspots and cross-shard transaction failures. Use this skill when your application needs to handle billions of records, improve multi-tenant isolation, or resolve performance bottlenecks in distributed database environments through structured routing and data locality.

Key Features

Zero-downtime rebalancing strategies using consistent hashing and virtual shards
Comprehensive shard key selection criteria to ensure even data distribution
Multi-strategy routing templates including Hash, Range, and Directory-based sharding
Detailed error catalog for preventing hotspots and cross-shard transaction issues
Patterns for cross-shard operations like scatter-gather and global aggregation
21 GitHub stars

Use Cases

Managing high-volume time-series data with range-based partitioning for efficient archival
Scaling a SaaS application using multi-tenant directory-based sharding for isolation
Building global user databases with hash-based sharding to ensure even load distribution

About

Key Features

Zero-downtime rebalancing strategies using consistent hashing and virtual shards
Comprehensive shard key selection criteria to ensure even data distribution
Multi-strategy routing templates including Hash, Range, and Directory-based sharding
Detailed error catalog for preventing hotspots and cross-shard transaction issues
Patterns for cross-shard operations like scatter-gather and global aggregation
21 GitHub stars

Use Cases

Managing high-volume time-series data with range-based partitioning for efficient archival
Scaling a SaaS application using multi-tenant directory-based sharding for isolation
Building global user databases with hash-based sharding to ensure even load distribution