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Nestjs Search | Skills Pool

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Nestjs Search

Elasticsearch integration and Sync patterns. Use when integrating Elasticsearch or implementing search index sync in NestJS. (triggers: **/*.service.ts, **/search/**, Elasticsearch, CQRS, Synchronization)

dangdungvn0 estrellas24 mar 2026

Ocupación
Categorías: Bases de Datos NoSQL

Contenido de la habilidad

Search Engine & Full-Text

Priority: P1 (OPERATIONAL)

Full-text search implementation with Elasticsearch and database patterns.

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 (The 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 .

Skills relacionados

Instalación rápida

Nestjs Search

npx skillvault add dangdungvn/dangdungvn-review-system-claude-skills-nestjs-search-skill-md

Descargar Skill Abrir repositorio

Autor: dangdungvn
estrellas: 0
Actualizado: 24 mar 2026
Ocupación

En esta página

01Search Engine & Full-Text

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 the client in a SearchModule.
Abstraction: Create generic SearchService<T> helpers.
- indexDocument(id, body)
- search(query, filters)
Mapping: Use class-transformer to map Entities to "Search Documents". Search docs should be flatter than Relational entities constraints.

Testing

E2E: Do not mock the search engine in critical E2E flows.
Docker: Spin up elasticsearch:8 container in the 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 is for full-text and complex search.
No ES mocks in E2E search tests: Spin up elasticsearch:8 container to verify indexing behavior accurately.

02

Priority: P1 (OPERATIONAL)

03Synchronization (The Hard Part)

06Anti-Patterns

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