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NoSQL 데이터베이스

737개의 스킬

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737개의 스킬

Quick Start

Spring Cache abstraction for Spring Boot 3.x. Covers @Cacheable, @CacheEvict, @CachePut, cache managers (Caffeine, Redis, EhCache), TTL configuration, cache keys, conditional caching, and cache synchronization. USE WHEN: user mentions "spring cache", "@Cacheable", "@CacheEvict", "cache manager", "Caffeine cache", "@EnableCaching", "cache abstraction" DO NOT USE FOR: Redis operations - use `spring-data-redis` instead, distributed caching architecture - combine with `redis` skill

claude-dev-suite11

NoSQL 데이터베이스

Setup

Elasticsearch search and analytics engine. Full-text search, aggregations, document store. Use when implementing search functionality or log analytics. USE WHEN: user mentions "elasticsearch", "full-text search", "search indexing", "log analytics", "ELK stack", "aggregations", "faceted search", "autocomplete", "suggestions" DO NOT USE FOR: primary database - use `postgresql` or `mongodb` instead, caching - use `redis` instead, ACID transactions - use SQL databases instead

claude-dev-suite11

NoSQL 데이터베이스

Data Types

Redis in-memory data store. Covers data structures, caching, and pub/sub. Use for caching and real-time features. USE WHEN: user mentions "redis", "caching", "session storage", "rate limiting", "pub/sub", "sorted sets", "in-memory database", "cache invalidation" DO NOT USE FOR: relational data - use `postgresql` or `mysql` instead, document storage - use `mongodb` instead, full-text search - use `elasticsearch` instead

claude-dev-suite11

NoSQL 데이터베이스

Cache-Aside (Lazy Loading) — Most Common

Application caching patterns. Redis caching, in-memory caches, HTTP caching, cache invalidation strategies, cache-aside, write-through, and CDN caching. USE WHEN: user mentions "caching", "cache invalidation", "Redis cache", "HTTP cache", "CDN caching", "cache-aside", "write-through", "TTL", "stale-while-revalidate" DO NOT USE FOR: Redis as database/queue - use `redis` or `job-queues`; browser storage - use frontend skills

claude-dev-suite11

NoSQL 데이터베이스

Why Atlas Vector Search

MongoDB Atlas Vector Search. $vectorSearch aggregation stage, index definition JSON, quantization (scalar, binary), hybrid with Atlas Search text via $rankFusion, dynamic schema benefits, sharding, Atlas Triggers for auto-embedding. USE WHEN: user mentions "Atlas Vector Search", "$vectorSearch", "MongoDB vector", "$rankFusion", "Atlas Triggers embedding", "MongoDB HNSW" DO NOT USE FOR: self-hosted vector stores - use `vector-stores/qdrant-advanced`, `vector-stores/milvus`; MongoDB without Atlas (self-hosted) - vector search is an Atlas-only feature

claude-dev-suite11

NoSQL 데이터베이스

Redis

Use Redis for high-performance caching, session storage, pub/sub messaging, and real-time features.

hivellm11

NoSQL 데이터베이스

Quick Start

Setup

Data Types

Cache-Aside (Lazy Loading) — Most Common

Why Atlas Vector Search

Redis

NoSQL 데이터베이스

Quick Start

Setup

Data Types

Cache-Aside (Lazy Loading) — Most Common

Why Atlas Vector Search

Redis

Relationship Query

When Redis Is the Right Choice

Toksearch Mds

Why LanceDB

Load

Goravel Crud Search

Gitops Patterns

Map

Fastapi Caching

Search Patterns

Caching Strategies

Engineering Redis Game Patterns

Discover Workflows

Redis

Caching Patterns

Mongodb

Obsidian Repository

Superpowers Sage Acorn Redis

Episodic Claw

Repo Structure See Also

Repo Cleanup Common Hidden Folders

Register Dependency

Docusaurus Build Fails With Module Not Found

Rag System Builder 1 Cache Embeddings