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Rebalancing, Shard Splitting, and Hotspots

This generated surface maps a learner-facing curriculum unit to its canonical source routes.

Curriculum surface​

  • Open learner-facing unit
  • Curriculum path: content/curriculum/architecture/semester-06-databases-distributed/module-03-replication-partitioning/concepts/cluster-04-partitioning-strategies/12-rebalancing-shard-splitting-and-hotspots-primary.md
  • App: architecture
  • Semester: semester-06-databases-distributed
  • Module: module-03-replication-partitioning
  • Unit kind: concept
  • Curation level: module_curated

Learning objectives​

  • Explain Rebalancing, Shard Splitting, and Hotspots in terms of topology, failure handling, and scaling tradeoffs instead of feature lists.
  • Use Rebalancing, Shard Splitting, and Hotspots to predict what breaks or changes when data is copied, partitioned, or rebalanced across nodes.
  • Use database-internals, database-system-concepts, ddia to connect the learner page to lag, routing, quorums, hotspots, and operational reality.

Prerequisites​

  • Comfort with storage-engine basics, indexing, and single-node database tradeoffs from the earlier modules.

Source books​

  • database-internals
  • database-system-concepts
  • ddia

Source routes​

Database Internals​

Database System Concepts​

Ddia​

Supporting curriculum routes​

No supporting curriculum routes linked yet.

External enrichment​

  • Jepsen Analyses (optional_deep_dive) - Useful after the learner has the conceptual model and wants to see how replication and partitioning claims fail in real systems.
  • PostgreSQL Documentation: Logical Replication (official_docs_companion) - Anchors replication terminology and mechanics in a concrete mainstream implementation.

AI companion modes​

  • Explain simply
  • Socratic tutor
  • Challenge my understanding
  • Diagnose my confusion
  • Connect forward / backward

Source-of-truth note​

This teaching unit is learner-facing guidance assembled from multiple canonical book routes. Use the listed source books as the primary conceptual spine for Rebalancing, Shard Splitting, and Hotspots, and treat outside material as supporting enrichment only.