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nestjs-search

Integrate Elasticsearch and implement search index Sync patterns in NestJS. Use when integrating Elasticsearch or implementing search index sync in NestJS.

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包含的文件(2)

  • SKILL.md2.0 KB
  • evals/evals.json2.3 KB

SKILL.md(原文)

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Search Engine & Full-Text

Priority: P1 (HIGH)

  • Pattern: CQRS (Command Query Responsibility Segregation).
  • Write: To Primary Database (Postgres/MySQL). Source of Truth.
  • Read (Complex): To Search Engine (Elasticsearch, OpenSearch, MeiliSearch). Optimized for filtering, fuzzy search, and aggregation.

Synchronization ( Hard Part)

  • Dual Write (Anti-Pattern): await db.save(); await es.index();.
  • Why: Partial failures leave data inconsistent. Slows down HTTP response.
  • Event-Driven (Recommended):
  1. Service writes to DB.
  2. Service emits EntityUpdated.
  3. Event Handler (Async) pushes to Queue (BullMQ).
  4. Worker indexes document to Search Engine with retries.
  • CDC (Golden Standard): Change Data Capture (Debezium). Connects directly to DB transaction log. No app conceptual overhead, but higher ops complexity.

Organization

  • Module: Encapsulate client in SearchModule.
  • Abstraction: Create generic SearchService<T> helpers.
  • indexDocument(id, body)
  • search(query, filters)
  • Mapping: Use class-transformer to map Entities to "Search Documents". Keep docs flatter than relational entities.

Testing

  • E2E: not mock search engine in critical E2E flows.
  • Docker: Spin up elasticsearch:8 container in test harness to verify indexing works.

Anti-Patterns

  • No dual writes to DB + ES: Use event-driven or CDC pattern; dual writes risk partial failure inconsistency.
  • No Elasticsearch for structured queries: Use DB indexes for filtering; ES for full-text and complex search.
  • No ES mocks in E2E search tests: Spin up elasticsearch:8 container to verify indexing behavior accurately.

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