@Marvin Are you familiar with this error: TypeError: cannot pickle ‘socket’ object When using DaskTaskRunner to run multiple tasks in parallel?

I did not find any open issues with the label "bug" and the query "TypeError: cannot pickle 'socket' object DaskTaskRunner" in the PrefectHQ/prefect repository. The error message you’re encountering typically occurs when trying to pickle objects that are not inherently serializable, like a socket object. This can happen when using a distributed computing framework like Dask. The

DaskTaskRunner

in Prefect is used to run tasks in a distributed fashion on a Dask cluster. Dask uses pickle to serialize Python objects for transmission between different workers in the cluster. If your task function includes a non-serializable object such as a socket, this error can occur. To resolve this issue, you could try the following steps: 1. Ensure that any code within your task functions doesn't create or reference non-serializable objects like sockets or file handles. 2. If you need to use a non-serializable resource, consider creating it within a

try/finally

block or using context managers to ensure it does not need to be serialized. 3. Examine your code for any global state or side effects that might inadvertently introduce non-serializable objects into your task's execution context. 4. Consider using Dask's

@dask.delayed

decorator for functions that work with non-serializable objects, as this might help isolate the non-serializable logic. Unfortunately, without the specific context of your use case and code, I cannot provide a more targeted solution. If you can share more details, I may better assist you in resolving this error.

are you passing a

socket

object as a task parameter?

No