How can I efficiently process large datasets using SQLAlchemy?

How can I efficiently process large datasets using SQLAlchemy?

You can use SQLAlchemy's bulk operations like bulk_insert_mappings or bulk_save_objects for batch processing.

What are the performance benefits of using bulk operations?

Bulk operations reduce the number of database round trips, which significantly speeds up the data insertion process.

Are there any limitations I should be aware of?

Yes, bulk operations may not trigger certain database features like triggers or constraints, so be cautious.

Can you provide an example of using bulk_insert_mappings?

Sure! Here's a simple example: session.bulk_insert_mappings(User, [{'name': 'Alice'}, {'name': 'Bob'}]).