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Per-Entity Redis Index Eliminates Costly Full-Keyspace Scans on Cache Invalidation

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A software developer has published a technical demo showing how a per-entity index can solve a common Redis cache invalidation problem. When upstream data changes, such as a user's subscription expiring, engineers typically resort to pattern-based commands like KEYS to find and delete all related cache entries. Because Redis is single-threaded, running KEYS across millions of entries can block the server for seconds, stalling every other client request in the meantime. The proposed solution attaches an index to each entity at write time, enabling targeted lookups instead of full-keyspace scans during invalidation. The author has released benchmark scripts and implementation code so developers can reproduce and evaluate the approach under their own workloads.

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