Q. How do I handle large query results or large data transfers?

A:

• Use pagination or chunked fetches (fetchmany) to avoid huge memory loads.

• Use Snowflake’s output to CSV or stage data (e.g. COPY INTO) and then download via Python.

• Use efficient data types and batching for inserts.

• Use stream_results=True in the connector to stream large SELECT results rather than loading all at once.

• Monitor query performance (use warehouses of appropriate size, avoid scanning unnecessary data).