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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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694112301 | MDU6SXNzdWU2OTQxMTIzMDE= | 4406 | Threading Lock issue with to_netcdf and Dask arrays | bilelomrani1 16692099 | open | 0 | 11 | 2020-09-05T15:49:31Z | 2021-12-08T00:06:22Z | NONE | I have multiple netCDF files that I process and write to a single output file. ```python from pathlib import Path import xarray as xr DS = xr.open_mfdataset(Path('L3_data/').glob('*/.nc'), combine='nested', concat_dim='time', decode_times=False, chunks={'time': 200}) DS.to_netcdf('test.nc') ``` I was not able to reproduce the issue with a simple example, here are the files : L3_data.zip. The issue does not appear systematically but sometimes,
Environment: I'm on Mac OS 10.15.6 Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:37:09) [Clang 10.0.1 ] python-bits: 64 OS: Darwin OS-release: 19.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: fr_FR.UTF-8 LOCALE: fr_FR.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.16.0 pandas: 1.1.1 numpy: 1.19.1 scipy: 1.3.1 netCDF4: 1.5.1.2 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.2.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.0.28 cfgrib: None iris: None bottleneck: None dask: 2.25.0 distributed: 2.25.0 matplotlib: 3.3.1 cartopy: None seaborn: None numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 20.2.2 conda: None pytest: None IPython: 5.8.0 sphinx: None |
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