Redis Caching Engine
Benchmark the performance gap between raw MySQL database compilation and Redis key-value retrieval. Observe Cache Hit vs Miss cycles and clear the cached values on demand.
Interactive Benchmark
Execution Latency
Status / Cache State
Caching Mechanics
What is happening
When "Use Redis Cache" is pressed, Laravel checks Redis memory for the key. On a MISS, MySQL runs `SUM(views)` and writes the result to Redis. On a HIT, Redis returns the sum directly, bypassing MySQL entirely.
Why it matters
Executing calculations or fetching complex configurations on database disks under high concurrency saturates DB pool size. Caching aggregates lightens read pressure dramatically.
Expected Performance
MySQL sum scanning takes ~4-10ms. Redis cached RAM responses execute in sub-millisecond ranges (~0.2 - 0.9ms), giving a 10x-50x speed increase.
Trade-offs & Invalidation
Cached data becomes stale if source records change. Invalidation patterns like clearing cache on post creation (Cache invalidation) or short TTL timers are required to preserve coherence.