```json { "table_name": "place_types", "primary_key": "type_id", "candidates": [ { "rank": 0, "partition_key": null, "partition_key_label": null, "partition_key_reasoning": "This is a small reference dimension table with only 8 rows representing place type categories (Brewpub, Bar, Beer Store, etc.). With such a small row count, partitioning would create unnecessary overhead. The table should remain as a single file for optimal performance in joins and lookups.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "No clustering needed for a small dimension table. The type_id already provides natural ordering (monotonicity=1.000) and the table is small enough to scan efficiently without internal sorting.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "Classic small dimension/lookup table. The type_id column serves as the primary key with perfect uniqueness (RPUV=1.00, 8 unique values for 8 rows). This table will be used to decode place type codes in the places table. The metadata columns (_ingestion_timestamp, _batch_id, _source_file, _source_system) are ETL artifacts with RPUV=8.00 and should not influence key selection. No partitioning or clustering is appropriate for a table of this size." } ] } ```