```json { "table_name": "products", "primary_key": "product", "candidates": [ { "rank": 0, "partition_key": "product", "partition_key_label": "primary_identifier", "partition_key_reasoning": "product is the unique identifier with RPUV=1.00, uniqueness=1.000, and 7 distinct values. Each product name is unique and serves as the natural primary key for this dimension table.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys as they are small reference tables without internal ordering requirements. With only 7 rows, no sorting is needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic small dimension table (7 rows) containing product reference data. The product column is the natural primary key with perfect uniqueness. The table contains product attributes (series, sales_price) that would be joined to fact tables. No clustering needed for such a small lookup table. Metadata columns (_ingestion_timestamp, _batch_id, etc.) are technical artifacts and not suitable for partitioning." } ] } ```