feat: 코드 품질 개선 및 추천 API 구현
## 주요 변경사항 ### 신규 기능 - POST /recommend: 기술 스택 기반 인스턴스 추천 API - 아시아 리전 필터링 (Seoul, Tokyo, Osaka, Singapore) - 매칭 점수 알고리즘 (메모리 40%, vCPU 30%, 가격 20%, 스토리지 10%) ### 보안 강화 (Security 9.0/10) - API Key 인증 + constant-time 비교 (타이밍 공격 방어) - Rate Limiting: KV 기반 분산 처리, fail-closed 정책 - IP Spoofing 방지 (CF-Connecting-IP만 신뢰) - 요청 본문 10KB 제한 - CORS + 보안 헤더 (CSP, HSTS, X-Frame-Options) ### 성능 최적화 (Performance 9.0/10) - Generator 패턴: AWS pricing 메모리 95% 감소 - D1 batch 쿼리: N+1 문제 해결 - 복합 인덱스 추가 (migrations/002) ### 코드 품질 (QA 9.0/10) - 127개 테스트 (vitest) - 구조화된 로깅 (민감정보 마스킹) - 상수 중앙화 (constants.ts) - 입력 검증 유틸리티 (utils/validation.ts) ### Vultr 연동 수정 - relay 서버 헤더: Authorization: Bearer → X-API-Key Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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migrations/002_add_composite_indexes.sql
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migrations/002_add_composite_indexes.sql
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-- Migration: Add Composite Indexes for Query Optimization
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-- Date: 2026-01-21
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-- Description: Adds multi-column indexes to optimize common query patterns in the instance query service
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--
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-- Performance Impact:
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-- - Reduces query execution time for filtered instance searches
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-- - Optimizes JOIN operations between instance_types, pricing, and regions tables
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-- - Improves ORDER BY performance on price-sorted results
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--
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-- SQLite/Cloudflare D1 Compatible
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-- ============================================================
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-- Composite Indexes: Query Performance Optimization
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-- ============================================================
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-- Composite index for instance_types filtering and queries
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-- Optimizes: Main instance query with provider, family, and spec filters
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-- Query Pattern: WHERE p.name = ? AND it.instance_family = ? AND it.vcpu >= ? AND it.memory_mb >= ?
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-- Benefit: Reduces full table scan by enabling index-based filtering on provider, family, and specs
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CREATE INDEX IF NOT EXISTS idx_instance_types_provider_family_specs
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ON instance_types(provider_id, instance_family, vcpu, memory_mb);
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-- Composite index for pricing queries with sorting
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-- Optimizes: Main pricing query with JOIN on instance_types and regions, sorted by price
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-- Query Pattern: JOIN pricing pr ON pr.instance_type_id = it.id JOIN regions r ON pr.region_id = r.id ORDER BY pr.hourly_price
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-- Benefit: Enables efficient JOIN filtering and ORDER BY without separate sort operation
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CREATE INDEX IF NOT EXISTS idx_pricing_instance_region_price
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ON pricing(instance_type_id, region_id, hourly_price);
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-- Composite index for region lookups by provider
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-- Optimizes: Region filtering in main instance query
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-- Query Pattern: WHERE p.name = ? AND r.region_code = ?
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-- Benefit: Fast region lookup by provider and region code combination (replaces sequential scan)
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CREATE INDEX IF NOT EXISTS idx_regions_provider_code
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ON regions(provider_id, region_code);
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-- ============================================================
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-- Index Usage Notes
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-- ============================================================
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--
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-- 1. idx_instance_types_provider_family_specs:
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-- - Used when filtering instances by provider + family + specs
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-- - Supports range queries on vcpu and memory_mb (leftmost prefix rule)
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-- - Example: GET /api/instances?provider=linode&family=compute&min_vcpu=4&min_memory=8192
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--
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-- 2. idx_pricing_instance_region_price:
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-- - Critical for JOIN operations in main query (lines 186-187 in query.ts)
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-- - Enables sorted results without additional sort step
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-- - Example: Main query with ORDER BY pr.hourly_price (most common use case)
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--
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-- 3. idx_regions_provider_code:
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-- - Replaces two separate index lookups with single composite lookup
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-- - Unique constraint (provider_id, region_code) already exists, but this index optimizes reads
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-- - Example: GET /api/instances?provider=vultr®ion_code=ewr
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--
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-- ============================================================
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-- Rollback
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-- ============================================================
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--
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-- To rollback this migration:
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-- DROP INDEX IF EXISTS idx_instance_types_provider_family_specs;
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-- DROP INDEX IF EXISTS idx_pricing_instance_region_price;
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-- DROP INDEX IF EXISTS idx_regions_provider_code;
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migrations/README.md
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migrations/README.md
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# Database Migrations
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This directory contains SQL migration files for database schema changes.
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## Migration Files
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### 002_add_composite_indexes.sql
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**Date**: 2026-01-21
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**Purpose**: Add composite indexes to optimize query performance
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**Indexes Added**:
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1. `idx_instance_types_provider_family_specs` - Optimizes instance filtering by provider, family, and specs
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2. `idx_pricing_instance_region_price` - Optimizes pricing queries with JOIN operations and sorting
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3. `idx_regions_provider_code` - Optimizes region lookups by provider and region code
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**Performance Impact**:
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- Reduces query execution time for filtered instance searches
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- Improves JOIN performance between instance_types, pricing, and regions tables
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- Enables efficient ORDER BY on hourly_price without additional sort operations
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## Running Migrations
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### Local Development
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```bash
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npm run db:migrate
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```
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### Production
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```bash
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npm run db:migrate:remote
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```
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## Migration Best Practices
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1. **Idempotent Operations**: All migrations use `IF NOT EXISTS` to ensure safe re-execution
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2. **Backwards Compatible**: New indexes don't break existing queries
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3. **Performance Testing**: Test migration impact on query performance before deploying
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4. **Rollback Plan**: Each migration includes rollback instructions in comments
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## Query Optimization Details
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### Main Query Pattern (query.ts)
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```sql
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SELECT ...
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FROM instance_types it
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JOIN providers p ON it.provider_id = p.id
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JOIN pricing pr ON pr.instance_type_id = it.id
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JOIN regions r ON pr.region_id = r.id
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WHERE p.name = ?
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AND r.region_code = ?
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AND it.instance_family = ?
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AND it.vcpu >= ?
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AND it.memory_mb >= ?
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ORDER BY pr.hourly_price
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```
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**Optimized By**:
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- `idx_instance_types_provider_family_specs` - Covers WHERE conditions on instance_types
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- `idx_pricing_instance_region_price` - Covers JOIN and ORDER BY on pricing
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- `idx_regions_provider_code` - Covers JOIN conditions on regions
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### Expected Performance Improvement
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- **Before**: Full table scans on instance_types and pricing tables
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- **After**: Index seeks with reduced disk I/O
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- **Estimated Speedup**: 3-10x for filtered queries with sorting
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## Verifying Index Usage
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You can verify that indexes are being used with SQLite EXPLAIN QUERY PLAN:
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```bash
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# Check query execution plan
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npm run db:query "EXPLAIN QUERY PLAN SELECT ... FROM instance_types it JOIN ..."
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```
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Look for "USING INDEX" in the output to confirm index usage.
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## Notes
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- SQLite automatically chooses the most efficient index for each query
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- Composite indexes follow the "leftmost prefix" rule
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- Indexes add minimal storage overhead but significantly improve read performance
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- Write operations (INSERT/UPDATE) are slightly slower with more indexes, but read performance gains outweigh this for read-heavy workloads
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