sharding-strategy
CommunityChoose shard keys that scale without hotspots
Software Engineering#sharding#shard key#consistent hashing#resharding#distributed databases#cross-shard joins#hot shard
Authorjacob-balslev
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you design horizontal partitioning (sharding) so your data and write throughput scale across nodes while minimizing hotspots, expensive cross-shard operations, and painful resharding later.
Core Features & Use Cases
- Partitioning scheme selection: Understand range, hash, and directory/lookup sharding, and when to use each.
- Shard-key decisioning: Pick the shard key that determines routing, query locality, and balanced load.
- Resharding and consistent hashing: Use consistent hashing to reduce data movement when scaling the cluster.
- Operational trade-offs: Plan for cross-shard queries/joins and distributed transactions, including failure modes like hot shards and skew.
- Replication relationship: Clarify that sharding splits data while replication copies shards for availability.
Quick Start
Use the sharding-strategy skill to design a shard key and partitioning scheme for your multi-tenant database so most queries remain single-shard and resharding is manageable.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sharding-strategy Download link: https://github.com/jacob-balslev/skill-graph/archive/main.zip#sharding-strategy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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