When using Load to Tables to convert CSVs to Delta format, which optimization is enabled?

When using Load to Tables to convert CSVs to Delta format, which optimization is enabled?

• A. Column pruning
• B. V-Order optimization enabled
• C. Predicate pushdown
• D. Data skipping

Answer: (B)

When loading data from CSVs into Delta with the Load to Tables path, the optimization that gets enabled is a multi-dimensional data layout called V-Order. This approach clusters rows according to a vector of key columns, so related values sit close together on disk. The practical benefit is faster data skipping: when you filter on several columns, the engine can prune large portions of the data early because the physical layout makes non-matching regions easy to skip. This specific layout optimization is what the load process activates, whereas general query-time optimizations like column pruning, predicate pushdown, or data skipping are important but come from separate parts of Delta’s optimization stack.

When loading data from CSVs into Delta with the Load to Tables path, the optimization that gets enabled is a multi-dimensional data layout called V-Order. This approach clusters rows according to a vector of key columns, so related values sit close together on disk. The practical benefit is faster data skipping: when you filter on several columns, the engine can prune large portions of the data early because the physical layout makes non-matching regions easy to skip. This specific layout optimization is what the load process activates, whereas general query-time optimizations like column pruning, predicate pushdown, or data skipping are important but come from separate parts of Delta’s optimization stack.