html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/pull/1983#issuecomment-380121937,https://api.github.com/repos/pydata/xarray/issues/1983,380121937,MDEyOklzc3VlQ29tbWVudDM4MDEyMTkzNw==,1197350,2018-04-10T14:32:25Z,2018-04-10T14:32:25Z,MEMBER,"I recently tried this branch with my data server and got an error.

I opened a dataset this way
```python
# works fine with parallel=False
ds = xr.open_mfdataset(os.path.join(ddir, '*V1_1.204*.nc'), decode_cf=False, parallel=True)
```

and got the following error.

```
distributed.utils - ERROR - NetCDF: HDF error
Traceback (most recent call last):
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/distributed/utils.py"", line 237, in f
    result[0] = yield make_coro()
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/tornado/gen.py"", line 1055, in run
    value = future.result()
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/tornado/concurrent.py"", line 238, in result
    raise_exc_info(self._exc_info)
  File ""<string>"", line 4, in raise_exc_info
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/tornado/gen.py"", line 1063, in run
    yielded = self.gen.throw(*exc_info)
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/distributed/client.py"", line 1356, in _gather
    traceback)
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/six.py"", line 692, in reraise
    raise value.with_traceback(tb)
  File ""/home/rpa/.conda/envs/dask_distributed/lib/python3.5/site-packages/dask/compatibility.py"", line 48, in apply
    return func(*args, **kwargs)
  File ""/home/rpa/xarray/xarray/backends/api.py"", line 318, in open_dataset
    return maybe_decode_store(store, lock)
  File ""/home/rpa/xarray/xarray/backends/api.py"", line 238, in maybe_decode_store
    drop_variables=drop_variables)
  File ""/home/rpa/xarray/xarray/conventions.py"", line 594, in decode_cf
    vars, attrs = obj.load()
  File ""/home/rpa/xarray/xarray/backends/common.py"", line 217, in load
    for k, v in self.get_variables().items())
  File ""/home/rpa/xarray/xarray/backends/netCDF4_.py"", line 319, in get_variables
    iteritems(self.ds.variables))
  File ""/home/rpa/xarray/xarray/core/utils.py"", line 308, in FrozenOrderedDict
    return Frozen(OrderedDict(*args, **kwargs))
  File ""/home/rpa/xarray/xarray/backends/netCDF4_.py"", line 318, in <genexpr>
    for k, v in
  File ""/home/rpa/xarray/xarray/backends/netCDF4_.py"", line 311, in open_store_variable
    encoding['original_shape'] = var.shape
  File ""netCDF4/_netCDF4.pyx"", line 3381, in netCDF4._netCDF4.Variable.shape.__get__ (netCDF4/_netCDF4.c:34388)
  File ""netCDF4/_netCDF4.pyx"", line 2759, in netCDF4._netCDF4.Dimension.__len__ (netCDF4/_netCDF4.c:27006)
RuntimeError: NetCDF: HDF error
```

Without the distributed scheduler (but with `parallel=True`), I get no error, but the command never returns, and eventually I have to restart the kernel.

Any idea what could be going on? (Sorry for the non-reproducible bug report...I figured some trials ""in the field"" might be useful.)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,304589831
https://github.com/pydata/xarray/pull/1983#issuecomment-379305062,https://api.github.com/repos/pydata/xarray/issues/1983,379305062,MDEyOklzc3VlQ29tbWVudDM3OTMwNTA2Mg==,1197350,2018-04-06T16:24:22Z,2018-04-06T16:24:22Z,MEMBER,Can we imagine cases where it might actually *degrade* performance?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,304589831