```json { "table_name": "ip_geo", "primary_key": "ip", "candidates": [ { "rank": 0, "partition_key": "ip", "partition_key_label": "primary_identifier", "partition_key_reasoning": "RPUV=1.00 (207 unique IPs for 207 rows), uniqueness=1.000, semantically the natural identifier for IP geolocation lookups. Each IP address is unique and serves as the primary lookup key for this dimension table.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering. All columns are attributes of the IP address; no natural ordering axis exists.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table mapping IP addresses to geographic attributes. The ip column is the natural primary key with perfect uniqueness. The resolved_at timestamp indicates when the geolocation was resolved, but this is metadata about the lookup process, not a temporal axis for the IP itself. The high null percentage (57.49%) in geographic fields suggests many IPs could not be resolved to locations. No clustering needed for a small (207-row) dimension table." } ] } ```