Empirical Performance Studies for Node.js

Rigorous, data-driven performance research by Code Evolution Lab. Each study is self-contained under studies/ with its own dependencies, benchmarks, results, and articles.

Studies

#	Topic	Status	Article
01	N+1 Query Problem	✅ Complete (100 & 1,000 users)	stackinsight.dev
02	Blocking I/O	🚧 In Progress	—
03	Missing Index	📋 Planned	—
04	Resource Leaks	📋 Planned	—
05	Bundle Bloat	📋 Planned	—
06	DOM Manipulation	📋 Planned	—
07	Inefficient Loops	📋 Planned	—
08	Large Payloads	📋 Planned	—
09	ReDoS Vulnerabilities	📋 Planned	—
10	Missing Caching	📋 Planned	—
11	Memory Leaks	📋 Planned	—

Repository Structure

empirical-study/
  studies/
    01-n-plus-1-query/      # Prisma N+1 query benchmarks
    02-blocking-io/         # Blocking I/O prevalence + benchmarks
    03-missing-index/       # (future)
    ...
  docs/                     # Shared writing guides, research plan
  tsconfig.base.json        # Shared TypeScript config
  package.json              # npm workspaces root

Each study folder contains:

• README.md — Study overview, methodology, quick start
• package.json — Study-specific dependencies
• src/ — Benchmark and analysis code
• results/ — Raw benchmark output (gitignored)
• content/ — Article drafts (gitignored)

Quick Start

# Install all workspaces
npm install

# Run a specific study
cd studies/01-n-plus-1-query && npm run bench:all
cd studies/02-blocking-io && npm run bench:all

Tech Stack

• Runtime: Node.js 18+
• Language: TypeScript 5+
• Study 01: Prisma, PostgreSQL, performance.now()
• Study 02: Express, autocannon, Babel AST analysis, perf_hooks

Links

• Publication: stackinsight.dev
• Tool: codeevolutionlab.com
• GitHub: github.com/liangk/empirical-study

License

MIT