INSERT INTO Orders (order_id, customer_id, order_date, total_amount) SELECT order_id, customer_id, order_date, total_amount FROM Staging_Orders;This took many hours to millions of rows. But then we came across hint syntax that lets you fine-tune SQL behavior. Adding a parallel and direct-path hint like:
INSERT /*+ APPEND PARALLEL(4) */ INTO Orders (order_id, customer_id, order_date, total_amount) SELECT order_id, customer_id, order_date, total_amount FROM Staging_Orders;In the above SQL statement, the /*+ APPEND */ hint instructs Oracle to perform a Direct Path Insert for faster data loading. and the PARALLEL(4) hint instructs Oracle to use parallel processing with four parallel execution servers (you can adjust the number as needed based on your system's resources). The results were mind-blowing - loading finished in under 10 minutes! For big data loads, enabling direct-path INSERT with parallelism cuts the time from hours to minutes. I hope this example gives you some ideas on optimizing bulk data operations in Oracle through hints. Let me know if you have any other tips for supercharged ETL performance!