How to Implement Reliable Logging in Python Multiprocessing?

Logging While Using Python's Multiprocessing Module

When utilizing Python 2.6's multiprocessing module for spawning processes, a module-level logger is typically assigned to each process to prevent data corruption in the shared sys.stderr filehandle. However, ensuring that all dependent modules also use this multiprocessing-aware logging approach can be cumbersome both within and outside the framework.

An alternative solution was proposed to address this issue:

Establishing a Custom Log Handler for Multiprocessing

A custom log handler was created to redirect all logging calls to the parent process using a pipe. Specifically designed for RotatingFileHandler, this approach effectively gathers logs from multiple child processes and consolidates them in the parent process.

The implementation involves:

<code class="python">from logging.handlers import RotatingFileHandler
import multiprocessing, threading, logging, sys, traceback

class MultiProcessingLog(logging.Handler):
    # ... Implementation as per above ...</code>

This custom log handler leverages a queue for concurrency and error recovery, ensuring reliable logging across processes.

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