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  • Writing a netCDF file is slow · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1216913006 https://github.com/pydata/xarray/issues/6920#issuecomment-1216913006 https://api.github.com/repos/pydata/xarray/issues/6920 IC_kwDOAMm_X85IiJ5u andersy005 13301940 2022-08-16T17:05:24Z 2022-08-16T17:05:24Z MEMBER

Great... keep us posted once you have a working solution.

I'm going to convert this issue in a discussion instead. 

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   Writing a netCDF file is slow 1340474484
1216907148 https://github.com/pydata/xarray/issues/6920#issuecomment-1216907148 https://api.github.com/repos/pydata/xarray/issues/6920 IC_kwDOAMm_X85IiIeM lassiterdc 64621312 2022-08-16T16:59:47Z 2022-08-16T16:59:47Z NONE

Thanks, @andersy005. I think that xr.save_mfdataset() could certainly be helpful in my workflow but unfortunately, I have to consolidate these data from a netcdf for each 2-minute timestep to a netcdf for each day, and it sounds like there's no way around that bottleneck. I've come across suggestions to save the dataset to a zarr group and then export as a netcdf, so I'm going to give that a shot.

 
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   Writing a netCDF file is slow 1340474484
1216820021 https://github.com/pydata/xarray/issues/6920#issuecomment-1216820021 https://api.github.com/repos/pydata/xarray/issues/6920 IC_kwDOAMm_X85IhzM1 andersy005 13301940 2022-08-16T15:46:44Z 2022-08-16T15:46:44Z MEMBER

@lassiterdc, writing large, chunked xarray dataset to a netCDF file is always a challenge and quite slow since the write is serial. However, you could take advantage of the xr.save_mfdataset() function to write to multiple netCDF files. here's a good example that showcase how to achieve this: https://ncar.github.io/esds/posts/2020/writing-multiple-netcdf-files-in-parallel-with-xarray-and-dask

 
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   Writing a netCDF file is slow 1340474484

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