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  • heerad · 2 ✖

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  • Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
778841149 https://github.com/pydata/xarray/issues/3961#issuecomment-778841149 https://api.github.com/repos/pydata/xarray/issues/3961 MDEyOklzc3VlQ29tbWVudDc3ODg0MTE0OQ== heerad 2560426 2021-02-14T21:01:21Z 2021-02-14T21:01:21Z NONE

Or alternatively you can try to set sleep between openings.

To clarify, do you mean adding a sleep of e.g. 1 second prior to your preprocess function (and setting preprocess to just sleep then return ds if you're not doing any preprocessing)? Or, are you instead sleeping before the entire open_mfdataset call?

Is this solution only addressing the issue of opening the same ds multiple times within a python process, or would it also address multiple processes opening the same ds?

 
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   Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663
778838527 https://github.com/pydata/xarray/issues/3961#issuecomment-778838527 https://api.github.com/repos/pydata/xarray/issues/3961 MDEyOklzc3VlQ29tbWVudDc3ODgzODUyNw== heerad 2560426 2021-02-14T20:40:38Z 2021-02-14T20:40:38Z NONE

Also seeing this as of version 0.16.1.

In some cases, I need lock=False otherwise I'll run into hung processes a certain percentage of the time. ds.load() prior to to_netcdf() does not solve the problem.

In other cases, I need lock=None otherwise I'll consistently get RuntimeError: NetCDF: Not a valid ID.

Is the current recommended solution to set lock=False and retry until success? Or, is it to keep lock=None and use zarr instead? @dcherian 

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   Hangs while saving netcdf file opened using xr.open_mfdataset with lock=None 597657663

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