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/issues/6000#issuecomment-1011734052,https://api.github.com/repos/pydata/xarray/issues/6000,1011734052,IC_kwDOAMm_X848TdYk,8291800,2022-01-13T03:08:02Z,2022-01-13T03:08:02Z,CONTRIBUTOR,"Sorry, should have included that version of the error as well. Both give errors.
Here's when I use `engine=h5netcdf`
```
Traceback (most recent call last):
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 199, in _acquire_with_cache_info
file = self._cache[self._key]
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/lru_cache.py"", line 53, in __getitem__
value = self._cache[key]
KeyError: [<class 'h5netcdf.core.File'>, ('/home/scott/testdata.nc',), 'a', (('invalid_netcdf', None),)]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File ""testxr.py"", line 35, in <module>
da_new.to_dataset(name=""new_testdata"").to_netcdf(""testdata.nc"", engine=""h5netcdf"")
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/core/dataset.py"", line 1900, in to_netcdf
return to_netcdf(
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/api.py"", line 1060, in to_netcdf
store = store_open(target, mode, format, group, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 178, in open
return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 123, in __init__
self._filename = find_root_and_group(self.ds)[0].filename
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 189, in ds
return self._acquire()
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 181, in _acquire
with self._manager.acquire_context(needs_lock) as root:
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/contextlib.py"", line 113, in __enter__
return next(self.gen)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 187, in acquire_context
file, cached = self._acquire_with_cache_info(needs_lock)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 205, in _acquire_with_cache_info
file = self._opener(*self._args, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5netcdf/core.py"", line 712, in __init__
self._h5file = h5py.File(path, mode, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5py/_hl/files.py"", line 406, in __init__
fid = make_fid(name, mode, userblock_size,
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5py/_hl/files.py"", line 179, in make_fid
fid = h5f.create(name, h5f.ACC_TRUNC, fapl=fapl, fcpl=fcpl)
File ""h5py/_objects.pyx"", line 54, in h5py._objects.with_phil.wrapper
File ""h5py/_objects.pyx"", line 55, in h5py._objects.with_phil.wrapper
File ""h5py/h5f.pyx"", line 108, in h5py.h5f.create
OSError: Unable to create file (unable to lock file, errno = 11, error message = 'Resource temporarily unavailable')
```
And here's the original
```$ python testxr.py
Traceback (most recent call last):
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 199, in _acquire_with_cache_info
file = self._cache[self._key]
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/lru_cache.py"", line 53, in __getitem__
value = self._cache[key]
KeyError: [<class 'h5netcdf.core.File'>, ('/home/scott/testdata.nc',), 'a', (('invalid_netcdf', None),)]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File ""testxr.py"", line 35, in <module>
da_new.to_dataset(name=""new_testdata"").to_netcdf(""testdata.nc"", engine=""h5netcdf"")
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/core/dataset.py"", line 1900, in to_netcdf
return to_netcdf(
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/api.py"", line 1060, in to_netcdf
store = store_open(target, mode, format, group, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 178, in open
return cls(manager, group=group, mode=mode, lock=lock, autoclose=autoclose)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 123, in __init__
self._filename = find_root_and_group(self.ds)[0].filename
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 189, in ds
return self._acquire()
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/h5netcdf_.py"", line 181, in _acquire
with self._manager.acquire_context(needs_lock) as root:
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/contextlib.py"", line 113, in __enter__
return next(self.gen)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 187, in acquire_context
file, cached = self._acquire_with_cache_info(needs_lock)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/xarray/backends/file_manager.py"", line 205, in _acquire_with_cache_info
file = self._opener(*self._args, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5netcdf/core.py"", line 712, in __init__
self._h5file = h5py.File(path, mode, **kwargs)
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5py/_hl/files.py"", line 406, in __init__
fid = make_fid(name, mode, userblock_size,
File ""/home/scott/miniconda3/envs/mapping/lib/python3.8/site-packages/h5py/_hl/files.py"", line 179, in make_fid
fid = h5f.create(name, h5f.ACC_TRUNC, fapl=fapl, fcpl=fcpl)
File ""h5py/_objects.pyx"", line 54, in h5py._objects.with_phil.wrapper
File ""h5py/_objects.pyx"", line 55, in h5py._objects.with_phil.wrapper
File ""h5py/h5f.pyx"", line 108, in h5py.h5f.create
OSError: Unable to create file (unable to lock file, errno = 11, error message = 'Resource temporarily unavailable')
```
`xr.show_versions()`
<details>
>>> xarray.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.8.5 (default, Sep 4 2020, 07:30:14)
[GCC 7.3.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1127.19.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.10.6
libnetcdf: 4.8.0
xarray: 0.19.0
pandas: 1.1.2
numpy: 1.21.2
scipy: 1.6.1
netCDF4: 1.5.7
pydap: None
h5netcdf: 0.11.0
h5py: 2.10.0
Nio: None
zarr: 2.8.3
cftime: 1.2.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.8
cfgrib: 0.9.8.5
iris: None
bottleneck: 1.3.2
dask: 2.12.0
distributed: 2.25.0
matplotlib: 3.3.1
cartopy: 0.20.0
seaborn: None
numbagg: None
pint: 0.17
setuptools: 49.6.0.post20200814
pip: 20.0.2
conda: 4.8.4
pytest: None
IPython: 7.18.1
sphinx: 4.0.2
</details>","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1056881922