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  • bekatd · 2 ✖

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  • Threading Lock issue with to_netcdf and Dask arrays · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
690922236 https://github.com/pydata/xarray/issues/4406#issuecomment-690922236 https://api.github.com/repos/pydata/xarray/issues/4406 MDEyOklzc3VlQ29tbWVudDY5MDkyMjIzNg== bekatd 6948919 2020-09-11T07:18:03Z 2020-09-11T07:18:03Z NONE

Did this work reliably in the past? If so, any clues about specific versions of dask and/or netCDF that cause the issue would be helpful.

@TomAugspurger do you know off-hand if there have been any recent changes in Dask's scheduler that could have caused this?

I am new to xarray dask thing but month ago it was woking without issues. I recently reinstalled python and dont know if versions differs from previous one

 
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   Threading Lock issue with to_netcdf and Dask arrays 694112301
690340047 https://github.com/pydata/xarray/issues/4406#issuecomment-690340047 https://api.github.com/repos/pydata/xarray/issues/4406 MDEyOklzc3VlQ29tbWVudDY5MDM0MDA0Nw== bekatd 6948919 2020-09-10T14:48:38Z 2020-09-10T14:48:38Z NONE

Using:

  • xarray=0.16.0
  • dask=2.25.0
  • netcdf4=1.5.4

I am experiencing same when trying to write netcdf file using to_netcdf() on a files opened via xr.open_mfdataset with lock=None (which is default).

Then I tried to open files with lock=False and it worked like a charm. Issue have been gone for 100% of times.

BUT

Now I am facing different issue. Seems that hdf5 IS NOT thread safe, since I encounter NetCDF: HDF error while applying different function on a netcdf files which were previously processed by another functions with lock=False. Script just terminates not even reaching any calculation step in the code. seems like lock=False works opposite and file is in a corrupted mode?

This is the BIGGEST issue and needs resolve ASAP

 
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   Threading Lock issue with to_netcdf and Dask arrays 694112301

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