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Join Algorithms: Nested Loop, Hash, Sort-Merge

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-02-storage-engines-indexing/concepts/cluster-04-query-execution-and-planning/11-join-algorithms-nested-loop-hash-sort-merge-primary.md
  • App: architecture
  • Semester: semester-06-databases-distributed
  • Module: module-02-storage-engines-indexing
  • Unit kind: concept
  • Curation level: module_curated

Learning objectives

  • Explain Join Algorithms: Nested Loop, Hash, Sort-Merge in terms of physical layout, access paths, and performance tradeoffs instead of memorizing structure names.
  • Relate Join Algorithms: Nested Loop, Hash, Sort-Merge to the actual cost of reads, writes, buffering, and maintenance work inside a storage engine.
  • Use database-system-concepts to connect the learner explanation to B-trees, LSM behavior, query execution, and recovery mechanics.

Prerequisites

  • Comfort with the relational model, SQL querying, and basic database terminology from module 01.

Source books

  • database-system-concepts

Source routes

Database System Concepts

  • /books/database-system-concepts via Database System Concepts: 15.2 Measures of Query Cost (Part 1), Database System Concepts: 15.4 Sorting, Database System Concepts: 15.5 Join Operation (Part 1), Database System Concepts: 15.5 Join Operation (Part 2), Database System Concepts: 15.5 Join Operation (Part 4)

Supporting curriculum routes

No supporting curriculum routes linked yet.

External enrichment

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. Its canonical source backbone is the referenced book database-system-concepts, and outside material should only clarify or strengthen that backbone.