```json { "table_name": "favorites", "primary_key": "favorite_id", "candidates": [ { "rank": 0, "partition_key": "user_id", "partition_key_label": "E", "partition_key_reasoning": "Entity column representing the user whose favorite-marking timeline we trace. RPUV=7.32 is excellent for partitioning (29,016 unique users). Top 3 coverage is 2.43%, indicating good distribution. Semantically, this groups all favorites by the user who created them.", "clustering_key": "created_at", "clustering_key_label": "S", "clustering_key_reasoning": "Event timestamp with monotonicity=1.000, providing perfect temporal ordering within each user's partition. This orders each user's favorite-marking events chronologically, enabling timeline analysis of when users marked beers as favorites.", "world_line": "user_id", "session_column": null, "confidence": "HIGH", "notes": "Primary perspective: user-centric analysis. Each partition contains one user's complete favorite-marking history ordered by time. The favorite_id is a unique sequential identifier (RPUV=1.00, uniqueness=1.000) serving as primary key." }, { "rank": 1, "partition_key": "beer_id", "partition_key_label": "E", "partition_key_reasoning": "Alternative entity perspective representing the beer being favorited. RPUV=3.29 is viable for partitioning (64,514 unique beers). Top 3 coverage is 1.44%, showing reasonable distribution. This groups all favorite events by the beer that was marked, useful for beer popularity analysis.", "clustering_key": "created_at", "clustering_key_label": "S", "clustering_key_reasoning": "Same temporal ordering axis. Within each beer's partition, this orders all favorite-marking events chronologically, showing when different users marked this beer as a favorite over time.", "world_line": "beer_id", "session_column": null, "confidence": "MEDIUM", "notes": "Alternative perspective: beer-centric analysis. Each partition contains all users who favorited a specific beer, ordered by when they did so. Useful for tracking beer popularity trends over time. Lower confidence than user_id because user behavior analysis is typically the primary use case for favorites tables." } ] } ```