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  • to_netcdf - RuntimeError: NetCDF: HDF error · 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
389644148 https://github.com/pydata/xarray/issues/2132#issuecomment-389644148 https://api.github.com/repos/pydata/xarray/issues/2132 MDEyOklzc3VlQ29tbWVudDM4OTY0NDE0OA== rabernat 1197350 2018-05-16T19:50:52Z 2018-05-16T19:50:52Z MEMBER

it turned out I had exceeded my quota on the storage.

This is a major hazard with the llc4230 dataset! 😱 

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   to_netcdf - RuntimeError: NetCDF: HDF error 323333361
389274247 https://github.com/pydata/xarray/issues/2132#issuecomment-389274247 https://api.github.com/repos/pydata/xarray/issues/2132 MDEyOklzc3VlQ29tbWVudDM4OTI3NDI0Nw== rabernat 1197350 2018-05-15T18:51:04Z 2018-05-15T18:51:04Z MEMBER

The warning suggests you are using a dask distributed to perform this write. Could you also post the details of your dask cluster (how you launch it, etc?) Is it possible that the dask workers cannot see the filesystem you are trying to write to?

FWIW, if you are trying to create an "analysis optimized" datastore, I would consider using zarr (rather than netcdf). Can you do v.to_zarr without errors?

 
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   to_netcdf - RuntimeError: NetCDF: HDF error 323333361

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