How do I configure the Dask scheduler for optimal performance?

How do I configure the Dask scheduler for optimal performance?

To configure the Dask scheduler for optimal performance, you should consider the following settings: adjust the number of workers, set the memory limits, and configure the task scheduling strategy.

What are the best practices for setting the number of workers?

Best practices include setting the number of workers based on the number of CPU cores available and the nature of your tasks. For CPU-bound tasks, use a worker per core; for I/O-bound tasks, you might use more workers.

Can I dynamically adjust the number of workers during execution?

Yes, you can dynamically adjust the number of workers using the Client.scale() method in Dask, which allows you to increase or decrease the number of active workers as needed.

What should I monitor to ensure the scheduler is performing well?

You should monitor metrics like task completion time, worker memory usage, and the number of tasks in the queue to ensure the scheduler is performing optimally.