Comments (2)
And launching a computation fails with:
---------------------------------------------------------------------------
KilledWorker Traceback (most recent call last)
<ipython-input-22-7b1137e223f8> in <module>()
1 with ProgressBar():
----> 2 p = p.compute()
/srv/conda/lib/python3.6/site-packages/xarray/core/dataarray.py in compute(self, **kwargs)
657 """
658 new = self.copy(deep=False)
--> 659 return new.load(**kwargs)
660
661 def persist(self, **kwargs):
/srv/conda/lib/python3.6/site-packages/xarray/core/dataarray.py in load(self, **kwargs)
631 dask.array.compute
632 """
--> 633 ds = self._to_temp_dataset().load(**kwargs)
634 new = self._from_temp_dataset(ds)
635 self._variable = new._variable
/srv/conda/lib/python3.6/site-packages/xarray/core/dataset.py in load(self, **kwargs)
489
490 # evaluate all the dask arrays simultaneously
--> 491 evaluated_data = da.compute(*lazy_data.values(), **kwargs)
492
493 for k, data in zip(lazy_data, evaluated_data):
/srv/conda/lib/python3.6/site-packages/dask/base.py in compute(*args, **kwargs)
396 keys = [x.__dask_keys__() for x in collections]
397 postcomputes = [x.__dask_postcompute__() for x in collections]
--> 398 results = schedule(dsk, keys, **kwargs)
399 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
400
/srv/conda/lib/python3.6/site-packages/distributed/client.py in get(self, dsk, keys, restrictions, loose_restrictions, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, actors, **kwargs)
2336 try:
2337 results = self.gather(packed, asynchronous=asynchronous,
-> 2338 direct=direct)
2339 finally:
2340 for f in futures.values():
/srv/conda/lib/python3.6/site-packages/distributed/client.py in gather(self, futures, errors, maxsize, direct, asynchronous)
1660 return self.sync(self._gather, futures, errors=errors,
1661 direct=direct, local_worker=local_worker,
-> 1662 asynchronous=asynchronous)
1663
1664 @gen.coroutine
/srv/conda/lib/python3.6/site-packages/distributed/client.py in sync(self, func, *args, **kwargs)
674 return future
675 else:
--> 676 return sync(self.loop, func, *args, **kwargs)
677
678 def __repr__(self):
/srv/conda/lib/python3.6/site-packages/distributed/utils.py in sync(loop, func, *args, **kwargs)
275 e.wait(10)
276 if error[0]:
--> 277 six.reraise(*error[0])
278 else:
279 return result[0]
/srv/conda/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
691 if value.__traceback__ is not tb:
692 raise value.with_traceback(tb)
--> 693 raise value
694 finally:
695 value = None
/srv/conda/lib/python3.6/site-packages/distributed/utils.py in f()
260 if timeout is not None:
261 future = gen.with_timeout(timedelta(seconds=timeout), future)
--> 262 result[0] = yield future
263 except Exception as exc:
264 error[0] = sys.exc_info()
/srv/conda/lib/python3.6/site-packages/tornado/gen.py in run(self)
1053
1054 try:
-> 1055 value = future.result()
1056 except Exception:
1057 self.had_exception = True
/srv/conda/lib/python3.6/site-packages/tornado/concurrent.py in result(self, timeout)
236 if self._exc_info is not None:
237 try:
--> 238 raise_exc_info(self._exc_info)
239 finally:
240 self = None
/srv/conda/lib/python3.6/site-packages/tornado/util.py in raise_exc_info(exc_info)
/srv/conda/lib/python3.6/site-packages/tornado/gen.py in run(self)
1061 if exc_info is not None:
1062 try:
-> 1063 yielded = self.gen.throw(*exc_info)
1064 finally:
1065 # Break up a reference to itself
/srv/conda/lib/python3.6/site-packages/distributed/client.py in _gather(self, futures, errors, direct, local_worker)
1501 six.reraise(type(exception),
1502 exception,
-> 1503 traceback)
1504 if errors == 'skip':
1505 bad_keys.add(key)
/srv/conda/lib/python3.6/site-packages/six.py in reraise(tp, value, tb)
691 if value.__traceback__ is not tb:
692 raise value.with_traceback(tb)
--> 693 raise value
694 finally:
695 value = None
KilledWorker: ('zarr-e520da87e7d8be3d8042ca551debc946', 'tcp://10.48.180.35:37959')
from pangeo-example-notebooks.
I should have read Pangeo's binder documentation first!
Closing the issue.
from pangeo-example-notebooks.
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