```json { "table_name": "accounts", "primary_key": "account", "candidates": [ { "rank": 0, "partition_key": "account", "partition_key_label": "primary_identifier", "partition_key_reasoning": "RPUV = 1.00 (85 unique values for 85 rows), uniqueness = 1.000, confirming each account name is unique. This is the natural primary identifier for the dimension table. While RPUV=1 typically indicates one file per row, for small dimension tables (85 rows) this is acceptable and standard practice.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables do not require internal sorting. No clustering key needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table containing account master data. The 'account' column serves as the unique identifier with perfect uniqueness (1.000). The table contains 85 company records with attributes like sector, year_established, revenue, employees, and office_location. The subsidiary_of column indicates hierarchical relationships between accounts. All metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) have RPUV=85, indicating they are constant across the entire table and not suitable for partitioning." } ] } ```