Thank you very much for your recommendations.

Additionally, I noticed that each executor typically has 32 active tasks by default. However, when looking at the test execution summary tab under the DAG for various stages, it displays 300 tasks.

Moreover, I found that executing `coalesce(1)` and then distributing it across all 10 models significantly improves performance, with batches running much faster.