Daemon is pronounced “ dee-mon“, like the alternate spelling “ demon“.Ī thread may be configured to be a daemon or not, and most threads in concurrent programming, including the main thread, are non-daemon threads (not background threads) by default. You can run a long-running task in the background using a daemon thread.Ī daemon thread is a background thread. How to Run a Long-Running Background Task Run your loops using all CPUs, download my FREE book to learn how. How can we run long-running tasks in the background in Python? Here, long-running means for the duration of the main program.īackground means that the task is not the main purpose of the application, but instead is a task that supports the main application. Monitor data for negative or favorable values.Monitor program state for specific conditions.Monitor an external resource for change.
In concurrent programming, we may need to run a long-running task in the background. Threading in Python: The Complete Guide.You can learn more about Python threads in the guide: Python provides the ability to create and manage new threads via the threading module and the threading.Thread class. Sometimes we may need to create additional threads in our program in order to execute code concurrently. Both processes and threads are created and managed by the underlying operating system. Need to Run a Long-Running Background TaskĪ thread is a thread of execution in a computer program.Įvery Python program has at least one thread of execution called the main thread. Example of a Long-Running Background Task.How to Run a Long-Running Background Task.Need to Run a Long-Running Background Task.
Stdout get updated every 0.5 seconds for every two lines to contain: 0Īnd each log file contains the respective log for a given process. T2 = threading.Thread(target=output_reader, args=(proc2, file2))
T1 = threading.Thread(target=output_reader, args=(proc1, file1)) Subprocess.Popen(, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc2, \ With subprocess.Popen(, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc1, \ The threading module allows us to do that.įirst, have a look at how to do the output redirection part alone in this question: Python Popen: Write to stdout AND log file simultaneously For example, I wanted to launch two processes that talk over a port between them, and save their stdout to a log file and stdout. However, there are cases where you need this. Both capture output and run on background with threadingĪs mentioned on this answer, if you capture the output with stdout= and then try to read(), then the process blocks.
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