Python: What happens when main process is terminated.
Question:
I am working with the multiprocessing module on a Unix system. I have noticed memory leaks when I terminate one of my programs. I was thinking that this might be because the processes that were started in the main process kept running. Is this correct?
Answers:
I think I’d refer you to this post where he does a great job of explaining how other threads behave.
You can just run your program and see if there is python processes alive after the main process terminated.
The correct way to terminate your program is making all the subprocesses terminated before the main process end. (Try to use Process.terminate() and Process.join() methods for all subprocesses before the main process terminated.)
Yes, it’s possible that memory leaks are occurring in your program because the processes that were started in the main process are not properly terminating. In the multiprocessing module, when a process terminates, any memory that it was using is automatically released back to the system. However, if the process does not terminate correctly, the memory may not be freed, leading to a memory leak. To avoid this, you should make sure that the processes you start in the main process correctly terminate by using proper synchronization techniques such as locks or queues, and by using the appropriate methods to terminate the processes such as the terminate() method. Additionally, you may want to monitor the memory usage of your program over time to ensure that it is not gradually increasing due to a memory leak.
I am working with the multiprocessing module on a Unix system. I have noticed memory leaks when I terminate one of my programs. I was thinking that this might be because the processes that were started in the main process kept running. Is this correct?
I think I’d refer you to this post where he does a great job of explaining how other threads behave.
You can just run your program and see if there is python processes alive after the main process terminated.
The correct way to terminate your program is making all the subprocesses terminated before the main process end. (Try to use Process.terminate() and Process.join() methods for all subprocesses before the main process terminated.)
Yes, it’s possible that memory leaks are occurring in your program because the processes that were started in the main process are not properly terminating. In the multiprocessing module, when a process terminates, any memory that it was using is automatically released back to the system. However, if the process does not terminate correctly, the memory may not be freed, leading to a memory leak. To avoid this, you should make sure that the processes you start in the main process correctly terminate by using proper synchronization techniques such as locks or queues, and by using the appropriate methods to terminate the processes such as the terminate() method. Additionally, you may want to monitor the memory usage of your program over time to ensure that it is not gradually increasing due to a memory leak.