```json { "table_name": "metrics", "primary_key": "metric_id", "candidates": [ { "rank": 0, "partition_key": "metric_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "metric_id is the unique identifier for this dimension table with RPUV=1.00 and uniqueness=1.000, perfectly identifying each metric definition. With only 2 rows, partitioning is not strictly necessary but metric_id serves as the natural primary identifier.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering. With only 2 rows and no natural ordering requirement, no clustering key is needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a small dimension table (2 rows) cataloging metric definitions. metric_id is the clear primary key. declared_at exists as an event_time but represents when the metric was defined, not a temporal axis for partitioning. The table stores metadata about metrics (SQL definitions, targets, directions) rather than time-series data." } ] } ```