```json { "table_name": "beers", "primary_key": "beer_id", "candidates": [ { "rank": 0, "partition_key": "beer_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "beer_id is the unique identifier for this dimension table with RPUV=1.00, uniqueness=1.000, and perfect distribution (Top 3 Coverage 0.00%). Each beer_id represents a distinct beer entity in the catalog.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys as they are reference tables accessed by their primary identifier.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table containing beer product master data. The beer_id serves as the natural primary key and partition key. The table contains 1.19M beers with rich attributes (name, style, brewer, ratings, etc.). Time columns (created_at, updated_at) track metadata changes but do not define the table's organization—this is a reference table, not a temporal or event table." } ] } ```