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- bekatd · 6 ✖
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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778972571 | https://github.com/pydata/xarray/issues/3961#issuecomment-778972571 | https://api.github.com/repos/pydata/xarray/issues/3961 | MDEyOklzc3VlQ29tbWVudDc3ODk3MjU3MQ== | bekatd 6948919 | 2021-02-15T06:11:34Z | 2021-02-15T06:11:34Z | NONE | Please make some dummy tests, I did time.sleep, prior every operation. This was the only workaround that really worked. |
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Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663 | |
778839471 | https://github.com/pydata/xarray/issues/3961#issuecomment-778839471 | https://api.github.com/repos/pydata/xarray/issues/3961 | MDEyOklzc3VlQ29tbWVudDc3ODgzOTQ3MQ== | bekatd 6948919 | 2021-02-14T20:47:27Z | 2021-02-14T20:47:27Z | NONE |
Or alternatively you can try to set sleep between openings. When you try to open same file from different functions with different operations, it is better to keep file opening function wrapped with a 1 second delay/sleep rather than direct open |
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Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663 | |
730033698 | https://github.com/pydata/xarray/issues/3961#issuecomment-730033698 | https://api.github.com/repos/pydata/xarray/issues/3961 | MDEyOklzc3VlQ29tbWVudDczMDAzMzY5OA== | bekatd 6948919 | 2020-11-19T00:02:09Z | 2020-11-19T00:04:13Z | NONE |
Lock false sometimes throws hd5 error. No clear solution. The only solution I have found, sleep method for 1 second |
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Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663 | |
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 |
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:
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 | |
690332310 | https://github.com/pydata/xarray/issues/3961#issuecomment-690332310 | https://api.github.com/repos/pydata/xarray/issues/3961 | MDEyOklzc3VlQ29tbWVudDY5MDMzMjMxMA== | bekatd 6948919 | 2020-09-10T14:36:53Z | 2020-09-10T14:38:51Z | NONE | Using:
I am experiencing same when trying to write netcdf file using xr.to_netcdf() on a files opened via xr.open_mfdataset with lock=None. Then I tried OP's suggestion and it worked like a charm 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 file, previously were processed by another function 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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Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663 |
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