```json { "table_name": "column_taxonomy", "primary_key": "jobs_id,columns_catalog_id", "candidates": [ { "rank": 0, "partition_key": "jobs_id", "partition_key_label": "primary_identifier", "partition_key_reasoning": "RPUV=43.51 is in the ideal range (2-100) for partitioning. Represents the analysis job that classified columns. Top 3 coverage 19.97% indicates good distribution. Semantically groups all column taxonomy results by the job that produced them.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require clustering. The composite primary key (jobs_id, columns_catalog_id) already provides uniqueness without needing internal ordering.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a dimension table storing column taxonomy metadata. The composite key (jobs_id, columns_catalog_id) uniquely identifies each row. Partitioning by jobs_id groups all column classifications from the same analysis job together, which is the natural access pattern for this metadata table." } ] } ```