DASK分布，无法再启动工作

Question

存在这样的情况似乎在DASK集群挂在重新启动时

模拟这个我写了这个愚蠢的代码：

import contextlib2
from distributed import Client, LocalCluster

for i in xrange(100):
    print i
    with contextlib2.ExitStack() as es:
        cluster = LocalCluster(processes=True, n_workers=4)
        client = Client(cluster)
        es.callback(client.close)
        es.callback(es.callback(client.close))

此代码永远不会完成环路我得到这个错误

 raise_exc_info(self._exc_info)
  File "//anaconda/lib/python2.7/site-packages/tornado/gen.py", line 1141, in run
    yielded = self.gen.throw(*exc_info)
  File "//anaconda/lib/python2.7/site-packages/distributed/deploy/local.py", line 191, in _start
    yield [self._start_worker(**self.worker_kwargs) for i in range(n_workers)]
  File "//anaconda/lib/python2.7/site-packages/tornado/gen.py", line 1133, in run
    value = future.result()
  File "//anaconda/lib/python2.7/site-packages/tornado/concurrent.py", line 269, in result
    raise_exc_info(self._exc_info)
  File "//anaconda/lib/python2.7/site-packages/tornado/gen.py", line 883, in callback
    result_list.append(f.result())
  File "//anaconda/lib/python2.7/site-packages/tornado/concurrent.py", line 269, in result
    raise_exc_info(self._exc_info)
  File "//anaconda/lib/python2.7/site-packages/tornado/gen.py", line 1147, in run
    yielded = self.gen.send(value)
  File "//anaconda/lib/python2.7/site-packages/distributed/deploy/local.py", line 217, in _start_worker
    raise gen.TimeoutError("Worker failed to start")

即时通讯使用DASK分布式1.25.1和Python 2.7的Mac上运行

Answer 1

这是在一个DASK问题，而使用python 2.7 Linux上的唯一的方法来启动新的工作（多进程）是通过使用叉

叉反过来可能会导致死锁详见门票开放DASK https://github.com/dask/distributed/issues/2446