由于某种原因,dask进程无法终止

时间:2016-05-27 15:29:25

标签: python dask

当我将num_workers设置为大(如10)时,我的dask子进程由于某种原因没有终止。我的工作是运行在100多台核心机器上,并在50GB文件上运行类似字数的代码。 stacktrace看起来像这样:

Traceback (most recent call last):
Process PoolWorker-9:
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Process PoolWorker-1:
Traceback (most recent call last):
Process PoolWorker-6:
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Process PoolWorker-4:
Traceback (most recent call last):
Process PoolWorker-8:
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Process PoolWorker-2:
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Traceback (most recent call last):
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
Process PoolWorker-5:
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
Process PoolWorker-10:
    task = get()
Traceback (most recent call last):
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 258, in _bootstrap
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    self.run()
    self.run()
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
    self._target(*self._args, **self._kwargs)
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
    racquire()
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
KeyboardInterrupt
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
    self._target(*self._args, **self._kwargs)
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 376, in get
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
    racquire()
KeyboardInterrupt
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
    racquire()
KeyboardInterrupt
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker
    racquire()
    return recv()
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
    racquire()
KeyboardInterrupt
    task = get()
  File "/usr/lib/python2.7/multiprocessing/queues.py", line 374, in get
    racquire()
KeyboardInterrupt
    self.run()
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
KeyboardInterrupt
KeyboardInterrupt
    self.run()
    self._target(*self._args, **self._kwargs)
  File "/usr/lib/python2.7/multiprocessing/process.py", line 114, in run
    self._target(*self._args, **self._kwargs)
    self.run()
  File "/usr/lib/python2.7/multiprocessing/pool.py", line 102, in worker

(类似于其他工人)

知道发生了什么事吗?在较小的输入(100MB)上运行的相同作业总是终止。

0 个答案:

没有答案
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