debugging-orm-queries

name	debugging-orm-queries
description	Converts ORM calls to raw SQL and analyzes query performance. Detects N+1 queries, missing indexes, and other anti-patterns. Use when debugging slow queries, tracing ORM-generated SQL, or optimizing database performance for Sequelize, Prisma, TypeORM (Node.js), GORM, sqlc, sqlx, ent (Go), or SQLAlchemy, Django ORM, Peewee (Python).

Debugging ORM Queries

References

Language	ORMs	Reference
Node.js	Sequelize, Prisma, TypeORM	references/nodejs.md
Go	GORM, sqlc, sqlx, ent	references/golang.md
Python	SQLAlchemy, Django, Peewee	references/python.md
Anti-patterns	N+1, indexes, pagination	references/anti_patterns.md

Scripts

# Pretty-print SQL
python scripts/sql_formatter.py "SELECT..."

# Detect N+1, missing WHERE, duplicates from log file
python scripts/query_analyzer.py queries.log [--json]

# Parse EXPLAIN output (PostgreSQL or MySQL)
psql -c "EXPLAIN ANALYZE ..." | python scripts/explain_parser.py --postgres
mysql -e "EXPLAIN FORMAT=JSON ..." | python scripts/explain_parser.py --mysql

# Node.js request-scoped query tracking (see script for setup)
# Integrates with Sequelize, Prisma, TypeORM

Quick Patterns

Enable logging: Check reference for ORM-specific config (usually logging: true or echo=True)

ORM → SQL: Enable logging, run query, capture output

SQL → ORM: Map clauses to methods:

• SELECT columns → specify fields/attributes
• WHERE → where/filter with operators
• JOIN → include/preload/prefetch_related
• ORDER BY → order/orderBy
• LIMIT/OFFSET → limit/offset or cursor-based

Performance issues: Run query_analyzer.py on logs, check anti_patterns.md for solutions