```json { "table_name": "ip_geo", "primary_key": "ip", "candidates": [ { "rank": 0, "partition_key": "ip", "partition_key_label": "primary_identifier", "partition_key_reasoning": "ip is the unique identifier for this dimension table with RPUV=1.00 (207 unique values for 207 rows), 100% uniqueness, and 0% nulls. Each IP address has exactly one geolocation record. This is the natural primary key for a dimension table storing IP-to-location mappings.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys. The table is small (207 rows) and serves as a lookup reference for IP geolocation data. No internal ordering is needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a classic dimension table storing IP geolocation reference data. The ip column is the natural primary key. The resolved_at timestamp indicates when each IP was resolved, but this is metadata about the lookup process, not a temporal axis for analysis. The high null percentage (57.49%) in geographic fields suggests many IPs (likely private/internal addresses like 10.42.0.x) could not be geolocated. The table serves as a lookup reference for other tables that may contain IP addresses." } ] } ```