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: [, ('/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 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: [, ('/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 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()`
>>> 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
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