```json { "table_name": "batches", "primary_key": "batch_id", "candidates": [ { "rank": 0, "partition_key": "batch_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "batch_id is the unique identifier with RPUV=1.00, uniqueness=1.000, and 304 unique values across 304 rows. As the primary key of this dimension table, it serves as the natural partition key for lookups and joins.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering. Each batch_id is unique, so no internal ordering is needed within partitions.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table tracking batch processing metadata. The batch_id uniquely identifies each batch execution. The table includes both base batches and derived '_gold' batches (expansion jobs). While started_at and completed_at are present, they are event timestamps describing when each batch ran, not a temporal axis for state snapshots. The table is correctly classified as dimension with batch_id as the primary identifier." } ] } ```