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dask.distributed SLURM 集群保姆超时

转载 作者:行者123 更新时间:2023-12-04 17:30:11 25 4
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我正在尝试使用 dask.distributed.SLURMCluster 将批处理作业提交到 super 计算集群上的 SLURM 作业调度程序。所有作业都按预期提交,但在运行 1 分钟后抛出错误:asyncio.exceptions.TimeoutError: Nanny failed to start in 60 seconds。如何让保姆连接?

完整跟踪:

distributed.nanny - INFO -         Start Nanny at: 'tcp://206.76.203.125:38324'
distributed.dashboard.proxy - INFO - To route to workers diagnostics web server please install jupyter-server-proxy: python -m pip install jupyter-server-proxy
distributed.worker - INFO - Start worker at: tcp://206.76.203.125:37609
distributed.worker - INFO - Listening to: tcp://206.76.203.125:37609
distributed.worker - INFO - dashboard at: 206.76.203.125:35505
distributed.worker - INFO - Waiting to connect to: tcp://129.114.63.43:35489
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO - Threads: 8
distributed.worker - INFO - Memory: 2.00 GB
distributed.worker - INFO - Local Directory: /home1/06729/tg860286/tests/dask-rsmas-presentation/dask-worker-space/worker-pu937jui
distributed.worker - INFO - -------------------------------------------------
distributed.worker - INFO - Waiting to connect to: tcp://129.114.63.43:35489
distributed.worker - INFO - Waiting to connect to: tcp://129.114.63.43:35489
distributed.worker - INFO - Waiting to connect to: tcp://129.114.63.43:35489
distributed.worker - INFO - Waiting to connect to: tcp://129.114.63.43:35489
distributed.nanny - INFO - Closing Nanny at 'tcp://206.76.203.125:38324'
distributed.worker - INFO - Stopping worker at tcp://206.76.203.125:37609
distributed.worker - INFO - Closed worker has not yet started: None
distributed.dask_worker - INFO - End worker
Traceback (most recent call last):
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/node.py", line 173, in wait_for
await asyncio.wait_for(future, timeout=timeout)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/asyncio/tasks.py", line 490, in wait_for
raise exceptions.TimeoutError()
asyncio.exceptions.TimeoutError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/runpy.py", line 193, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/cli/dask_worker.py", line 440, in <module>
go()
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/cli/dask_worker.py", line 436, in go
main()
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/click/core.py", line 764, in __call__
return self.main(*args, **kwargs)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/click/core.py", line 717, in main
rv = self.invoke(ctx)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/click/core.py", line 956, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/click/core.py", line 555, in invoke
return callback(*args, **kwargs)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/cli/dask_worker.py", line 422, in main
loop.run_sync(run)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/tornado/ioloop.py", line 532, in run_sync
return future_cell[0].result()
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/cli/dask_worker.py", line 416, in run
await asyncio.gather(*nannies)
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/asyncio/tasks.py", line 684, in _wrap_awaitable
return (yield from awaitable.__await__())
File "/home1/06729/tg860286/miniconda3/envs/daskbase/lib/python3.8/site-packages/distributed/node.py", line 176, in wait_for
raise TimeoutError(
asyncio.exceptions.TimeoutError: Nanny failed to start in 60 seconds```

最佳答案

您的工作人员似乎无法连接到调度程序。我的猜测是您需要指定一个网络接口(interface)。您应该询问您的系统管理员您应该使用哪个网络接口(interface),然后使用 interface= 关键字指定。

您可能还想通读 https://blog.dask.org/2019/08/28/dask-on-summit ,其中对出现的常见问题进行了案例研究。

关于dask.distributed SLURM 集群保姆超时,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/60536065/

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