nestjs-search
Integrate Elasticsearch and implement search index Sync patterns in NestJS. Use when integrating Elasticsearch or implementing search index sync in NestJS.
What this skill does
# Search Engine & Full-Text ## **Priority: P1 (OPERATIONAL)** - **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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