```json { "table_name": "llm_calls", "primary_key": "id", "candidates": [ { "rank": 0, "partition_key": "id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "id is the unique identifier with RPUV=1.00, uniqueness=1.000, and perfect monotonicity=1.000. Each row represents a distinct LLM API call event. As a dimension table, the primary identifier serves as the partition key.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys as they are reference tables accessed by their primary identifier.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table cataloging LLM API calls. The id column uniquely identifies each call record. The table contains metadata about each call (purpose, model, provider, status, tokens, cost, latency, errors). While created_at is marked as event_time in the classification, the primary_type=dimension indicates this is a reference table of call records rather than an event stream, so we use the primary_identifier pattern." } ] } ```