```json { "table_name": "jobs", "primary_key": "job_id", "candidates": [ { "rank": 0, "partition_key": "job_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "job_id is the unique identifier for each job record with RPUV=1.00, uniqueness=1.000, and 321 unique values across 321 rows. It serves as the natural primary key for this dimension table.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering keys as they are reference tables organized by their primary identifier.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table tracking job metadata. The job_id is the clear primary identifier. The table contains job execution records with attributes like type (ingest, research, full), status (success, failed, cancelled), and timing information. While multiple timestamp columns exist (started_at, finished_at, created_at, updated_at), they are attributes of each job record rather than organizing axes. The dataset_id shows moderate cardinality (RPUV=2.94, 109 unique values) but represents a foreign key relationship rather than a partitioning dimension." } ] } ```