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- Parallel access to DataArray within `with` statement causes `BlockingIOError` · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1011734052 | https://github.com/pydata/xarray/issues/6000#issuecomment-1011734052 | https://api.github.com/repos/pydata/xarray/issues/6000 | IC_kwDOAMm_X848TdYk | scottstanie 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 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') ```
>>> 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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Parallel access to DataArray within `with` statement causes `BlockingIOError` 1056881922 |
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