python
runtime_error
ai_generated
true
asyncio.queues.QueueFull
ID: python/asyncio-queue-full
80%Fix Rate
87%Confidence
0Evidence
2024-05-21First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 3.8 | active | — | — | — |
| 3.9 | active | — | — | — |
| 3.10 | active | — | — | — |
| 3.11 | active | — | — | — |
| 3.12 | active | — | — | — |
Root Cause
put_nowait() was called on an asyncio.Queue that reached its maxsize; the producer is faster than the consumer.
generic中文
在达到 maxsize 的 asyncio.Queue 上调用了 put_nowait();生产者比消费者快。
Workarounds
-
95% success
Use await queue.put(item) to apply backpressure: await queue.put(item)
-
88% success
Add more consumer tasks to drain faster: consumers = [asyncio.create_task(worker(queue)) for _ in range(10)]
-
82% success
For bounded producers, drop-oldest semantics: if queue.full(): queue.get_nowait() queue.put_nowait(item)
Dead Ends
Common approaches that don't work:
-
70% fail
Postpones the error and increases memory pressure; eventually fills again.
-
85% fail
Silently drops items, corrupting downstream processing.
-
75% fail
Loses async backpressure and blocking semantics; consumers may busy-wait.