How Can I Access Return Values from Python\'s Multiprocessing.Process?

Accessing Return Values from Multiprocessing Processes

When working with multiprocessing in Python, there may be instances where you need to retrieve the return values of functions passed to the multiprocessing.Process. Understanding how this can be achieved aids in effectively utilizing the Process class for parallel processing.

In the example code provided, the worker function returns the value procnum. To access this value, we cannot directly obtain it from the jobs list, as these stored objects are instances of the Process class and do not retain the function's return values.

Instead, shared variables can be employed to facilitate communication between processes and retrieve the desired result. By utilizing the multiprocessing.Manager class, we can establish shared dictionaries or other data structures that allow multiple processes to interact and exchange information.

In the modified code, a return_dict is created using the manager.dict() method, which maintains a shared dictionary across processes. The worker function updates this shared dictionary with the return value for its respective process. When the main process joins the child processes, it retrieves the values from the return_dict and prints them, demonstrating the successful retrieval of the return values.

Through this mechanism of shared variables, we can effectively access the return values of functions executed within multiprocessing processes, facilitating advanced coordination and data exchange within multithreaded Python applications.

The above is the detailed content of How Can I Access Return Values from Python\'s Multiprocessing.Process?. For more information, please follow other related articles on the PHP Chinese website!