Why might Drop and Create be faster than Truncate Existing for Table Handling with database writers?

• A. Creating database tables from nothing is always faster than appending to existing tables.
• B. Truncate Existing is slower when working with spatial data.
• C. Drop and Create deletes and recreates the index.
• D. Truncate Existing deletes and recreates the index.

Answer: (C)

The speed gain comes from how the index is handled. Dropping the table removes everything, including the index definitions, and then recreating the table rebuilds the indexes from scratch. That means you avoid the cost of deleting row by row and updating the index structures for every removal, which Truncate and then maintain the existing indexes must do. Rebuilding indexes on a fresh create is often more efficient, especially for large tables or complex spatial indexes, and it can also reduce fragmentation and reset statistics for a clean start. So the main reason this approach can be faster is that it deletes and then recreates the index, rather than incrementally updating it during a mass delete.