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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SKILL.md
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):
- Service writes to DB.
- Service emits
EntityUpdated. - Event Handler (Async) pushes to Queue (BullMQ).
- 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-transformerto 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:8container 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:8container to verify indexing behavior accurately.
Files
2- SKILL.md
c58c0668d12.0 KB - evals/evals.json
b67b57b7952.3 KB
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