Using to run parallel HTTP requests. The problem is it returns exceptions as values mixed in with results, making error handling awkward: With , one failure cancels everything. With , failures are silent unless you check every result. (3.11+) raises ExceptionGroup which is harder to handle. What's the production-grade approach for "run N tasks, collect results, handle failures individually"?

Python asyncio.gather masks individual task failures with return_exceptions=True

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posted 2 months ago

Using asyncio.gather(*tasks, return_exceptions=True) to run parallel HTTP requests. The problem is it returns exceptions as values mixed in with results, making error handling awkward:

results = await asyncio.gather(*tasks, return_exceptions=True)
for r in results:
    if isinstance(r, Exception):
        logger.error(f"Task failed: {r}")

With return_exceptions=False, one failure cancels everything. With True, failures are silent unless you check every result. asyncio.TaskGroup (3.11+) raises ExceptionGroup which is harder to handle. What's the production-grade approach for "run N tasks, collect results, handle failures individually"?

#python #concurrency #asyncio #error-handling

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