Optimize Django ORM query loading by fixing N+1 queries, duplicate related-object queries, over-fetching, serializer/template query loops, and inappropriate select_related, prefetch_related, only, or defer usage. Use when a Django page, API, admin view, template, serializer, or queryset issues too many queries or loads more model data than needed.
Scanned 9/12/2026
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---
name: django-orm-query-optimization
description: "Optimize Django ORM query loading by fixing N+1 queries, duplicate related-object queries, over-fetching, serializer/template query loops, and inappropriate select_related, prefetch_related, only, or defer usage. Use when a Django page, API, admin view, template, serializer, or queryset issues too many queries or loads more model data than needed."
category: backend-and-data
source_repo: hashgraph-online/awesome-codex-plugins
source_path: "plugins/LVTD-LLC/skills/skills/django-orm-query-optimization/SKILL.md"
source_url: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/LVTD-LLC/skills/skills/django-orm-query-optimization/SKILL.md
---
# Django ORM Query Optimization
Use this skill for query-count and object-loading problems. The usual target is an N+1 pattern where each rendered row or serialized object triggers more database work.
## Workflow
1. Prove the query pattern.
- Capture query count and duplicate SQL for the slow path.
- Identify the loop, serializer field, template access, admin display, or model property triggering related queries.
2. Choose the loading strategy.
- Use `select_related()` for single-valued relationships: `ForeignKey` and `OneToOneField`.
- Use `prefetch_related()` for many-valued relationships: reverse FK and many-to-many.
- Use `Prefetch()` when the related queryset needs filters, ordering, annotations, or nested `select_related()`.
- Use `values()` or `values_list()` when model instances are unnecessary.
- Use `only()` or `defer()` only when large columns are truly unused.
3. Keep access consistent.
- If you prefetch `items`, do not later call `items.filter(...)` and expect the prefetch cache to help.
- If using `iterator()` with `prefetch_related()`, provide `chunk_size`.
- Avoid putting broad prefetches into default managers unless every caller needs them.
4. Add a focused regression check when useful.
- Use a query-count assertion around the exact view or serializer path.
- Avoid brittle global query-count tests.
See [relationship-and-column-loading.md](references/relationship-and-column-loading.md) for examples and review cues.
## Anti-Patterns
- Adding `prefetch_related()` to every queryset without checking memory.
- Using `only()` and then touching deferred fields in a loop.
- Optimizing a queryset but leaving serializer method fields to issue per-row queries.
- Hiding queries in `__str__()`, model properties, template includes, or admin list methods.
## Verification
Show the query count and duplicate-query pattern before and after, plus any wall-time or memory change.
---
**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/LVTD-LLC/skills/skills/django-orm-query-optimization/SKILL.md`
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