L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Données et recherche · SKILL.md

database-query-performance

database-query-performance

Diagnose database latency with explain plans, index ownership, and query-shape review. Use when a query is slow, an index is missing, or scans and N+1 patterns appear.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: database-query-performance description: Diagnose database latency with explain plans, index ownership, and query-shape review. Use when a query is slow, an index is missing, or scans and N+1 patterns appear. metadata: triggers: files: - '/*.sql' - '/*.entity.ts' - 'prisma/schema.prisma' keywords: - slow query - explain - index - scan - n+1

Database Query Performance

Priority: P0 (CRITICAL)

Slow query work starts with the query shape and evidence, not with random index creation.

Rules

  • Capture the exact query, parameters, and access path.
  • Run explain or equivalent plan inspection before adding indexes.
  • Match indexes to filter, join, sort, and coverage needs.
  • Fix N+1 at the query pattern or loading strategy, not by caching first.

Verify

  • Explain plan was reviewed.
  • Proposed index maps to a named query path.
  • Write cost of the index is acceptable.
  • Pagination or batch loading avoids deep scans or N+1 loops.

Anti-Patterns

  • No blind indexes: every index needs a query owner.
  • No cache-first latency fix: fix query shape before hiding it.
  • No ORM opacity: inspect generated SQL when the ORM is involved.

References

Skills enregistrées