@Marvin how to log the information about workers being created by dasktaskrunner in prefect 3.0

To log information about workers being created by the

DaskTaskRunner

in Prefect 3.0, it's essential to integrate Dask's logging capabilities with your Prefect setup. Currently, there aren't direct Prefect configurations to specifically log worker creation in detail, but you can make use of Dask's functionality within your Prefect flow to achieve this. Here's a general approach you can follow: 1. Enable Dask Logging: You can configure Dask to enable verbose logging by setting up a logging configuration. For instance, you can adjust the logging level directly in your script by setting up the Python logging module. 2. Use Dask Client: When creating a Dask client, you can specify a logging level to capture detailed information. For example:

python
   import logging
   import dask
   import dask.distributed

   # Set up logging
   logging.basicConfig(level=<http://logging.INFO|logging.INFO>)

   # Create a Dask client with logging
   client = dask.distributed.Client()

   # Example: Set the dashboard logging level
   dask.config.set({'distributed.comm': 'info'})

3. Adaptive Scaling: Prefect's

DaskTaskRunner

supports adaptive scaling, and you can use this feature to observe when workers are added or removed. Utilize the

adapt_kwargs

to specify the scaling behavior and monitor the logs for these changes. 4. Monitor Dask Dashboard: For a more visual representation, use the Dask dashboard to monitor worker creation and task distribution. Currently, there are no specific Prefect-readymade tools for logging worker creation directly, but integrating Dask's logging with the above methods should provide the necessary insights. For more information, you can check the Prefect Dask documentation and Dask GitHub issues that discuss common challenges with task scheduling using the

DaskTaskRunner

.