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Implement Caching Strategy #98

@RUKAYAT-CODER

Description

@RUKAYAT-CODER

Overview

Add caching layer using Redis or in-memory cache to improve performance and reduce database load.

Background

Caching frequently accessed data significantly improves API response times.

Specifications

Modules to Create:

  • Cache module configuration
  • Cache service wrapper
  • Cache invalidation logic
  • Cache decorators
  • Cache key management

Tasks:

  • Configure cache-manager with Redis
  • Create cache service wrapper
  • Implement cache decorators
  • Add caching to expensive queries
  • Create cache invalidation strategy
  • Implement cache key namespacing
  • Add cache statistics endpoint
  • Write comprehensive tests

Impacted Files:

  • src/modules/cache/cache.module.ts (new)
  • src/modules/cache/cache.service.ts (new)
  • src/common/decorators/cache.decorator.ts (new)
  • src/common/interceptors/cache.interceptor.ts (new)
  • src/config/cache.config.ts (new)
  • src/modules//services/.service.ts (update)
  • test/cache/cache.spec.ts (new)

Labels: backend, caching, performance, redis, priority-medium

Acceptance Criteria

  • Redis cache configured
  • Frequently accessed data cached
  • Cache TTL configured appropriately
  • Cache invalidated on updates
  • Cache hit/miss tracked
  • Fallback to database on cache miss
  • Cache keys namespaced properly
  • All caching scenarios tested

🙌Contribution Guidelines:

Assignment required before PR submission
Timeframe: 48-72 hours
PR description must include: Close #[issue-number]
Star the repo⭐
For more context, please refer to the backend README 🚀

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