```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 (35 unique values for 35 rows), 100% uniqueness, and 0% nulls. Each sales agent appears exactly once, making it the natural primary identifier. As a small dimension table (35 rows), partitioning is optional but sales_agent serves as the logical organizing key.", "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. This table has only 35 rows and no temporal or sequential dimension to sort by.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table mapping sales agents to their organizational hierarchy (manager, regional_office). The sales_agent column is the clear primary key with perfect uniqueness. The metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) all have RPUV=35.00 (single value) and are not suitable for partitioning. At 35 rows, this table is small enough that partitioning provides minimal benefit, but sales_agent is the correct logical choice if partitioning is required." } ] } ```