```json { "table_name": "sales_teams", "primary_key": "sales_agent", "candidates": [ { "rank": 0, "partition_key": "sales_agent", "partition_key_label": "primary_identifier", "partition_key_reasoning": "sales_agent is the unique identifier for this dimension table with RPUV=1.00, uniqueness=1.000, and 35 unique values across 35 rows. Each sales agent appears exactly once, making it the natural primary identifier for this small 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 35 rows, no clustering is needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table mapping sales agents to their managers and regional offices. The table is small (35 rows) and static, serving as a lookup reference. Alternative partitioning by manager (RPUV=5.83) or regional_office (RPUV=11.67) would be semantically incorrect as they are attributes of the sales agent, not independent entities." } ] } ```