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nestjs-database

nestjs-database

Implement data access patterns, Scaling, Migrations, and ORM selection in NestJS. Use when implementing TypeORM/Prisma repositories, migrations, or database patterns in NestJS.

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name: nestjs-database description: Implement data access patterns, Scaling, Migrations, and ORM selection in NestJS. Use when implementing TypeORM/Prisma repositories, migrations, or database patterns in NestJS. metadata: triggers: files: - '**/*.entity.ts' - 'prisma/schema.prisma' keywords: - TypeOrmModule - PrismaService - MongooseModule - Repository

NestJS Database Standards

Priority: P0 (CRITICAL)

Selection Strategy

See references/persistence_strategy.md for database selection matrix and scaling patterns (Connection Pooling, Sharding).

Patterns

  • Repository Pattern: Isolate database logic.
  • TypeORM: Inject @InjectRepository(Entity).
  • Prisma: Create comprehensive PrismaService.
  • Abstraction: Services should call Repositories, not raw SQL queries.

Configuration (TypeORM)

  • Async Loading: Always use TypeOrmModule.forRootAsync to load secrets from ConfigService.
  • Sync: Set synchronize: false in production; use migrations instead.

Migrations

  • Never use synchronize: true in production.
  • Generation: Whenever TypeORM entity (.entity.ts) modified, migration MUST generated using pnpm migration:generate.
  • Audit: Always inspect generated migration file to ensure it matches entity changes before applying.
  • Production Strategies:
  • CI/CD Integration (Recommended): Run pnpm migration:run in pre-deploy or post-deploy job (e.g., GitHub Actions, GitLab CI). Ensure production environment variables correctly set.
  • Manual SQL (For restricted DB access): Use typeorm migration:show to get SQL or simply copy up method's SQL into management tool (like Supabase SQL Editor). Always track manual runs in migrations metadata table.
  • Zero-Downtime: Use Expand-Contract pattern (Add -> Backfill -> Drop) for destructive changes.
  • Seeding: Use factories for dev data; only static dicts for prod.

Best Practices

  1. Pagination: Mandatory. Use limit/offset or cursor-based pagination.
  2. Indexing: Define indexes in code (decorators/schema) for frequently filtered columns (where, order by).
  3. Transactions: Use QueryRunner (TypeORM) or $transaction (Prisma) for all multi-step mutations to ensure atomicity.

Anti-Patterns

  • No synchronize in production: Use explicit migrations; synchronize: true drops and recreates columns.
  • No raw entity returns from services: Map to DTOs before leaving service layer.
  • No unpaginated list queries: All list endpoints must implement limit/offset or cursor pagination.
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