When working with background tasks in async applications, ensure proper task lifecycle management and coordination to prevent memory leaks, race conditions, and resource conflicts.
When working with background tasks in async applications, ensure proper task lifecycle management and coordination to prevent memory leaks, race conditions, and resource conflicts.
Key practices:
while True:
to allow graceful terminationExample implementation:
# Global task tracking with automatic cleanup
BACKGROUND_TASKS = set()
async def start_background_operation():
# Use create_task for non-blocking execution
task = asyncio.create_task(background_health_check())
# Add to tracking set and auto-remove when done
BACKGROUND_TASKS.add(task)
task.add_done_callback(BACKGROUND_TASKS.discard)
async def background_health_check():
# Use controlled condition instead of while True
while use_background_health_checks:
try:
# Perform work
await perform_health_check()
finally:
# Always cleanup resources
await cleanup_resources()
This approach prevents memory leaks from orphaned tasks, allows controlled shutdown of background operations, and ensures resources are properly released even when errors occur.
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