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  • kmpaul · 1 ✖

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  • If a NetCDF file is chunked on disk, open it with compatible dask chunks · 1 ✖

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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
632285419 https://github.com/pydata/xarray/issues/1440#issuecomment-632285419 https://api.github.com/repos/pydata/xarray/issues/1440 MDEyOklzc3VlQ29tbWVudDYzMjI4NTQxOQ== kmpaul 11411331 2020-05-21T19:01:36Z 2020-05-21T19:01:36Z CONTRIBUTOR

@rabernat When you say "underlying array store", are you talking about the storage layer? That is, the zarr store or the netcdf file?

It seems to me that the there are lots of "layers" of "chunking", especially when you are talking about chunking an entire dataset, which really confuses the whole issue. On an HPC system, there's filesystem blocksize, NetCDF/HDF5 "internal" chunks, chunking by spreading the data over multiple files, and in-memory chunks (i.e., Dask chunks). I'm not an expert on object store, but my understanding of object store is that (if you are storing NetCDF/HDF5 on object store) there is still "interal" NetCDF/HDF5 "chunking", then chunking over objects/files, and then in-memory chunking.

 
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   If a NetCDF file is chunked on disk, open it with compatible dask chunks 233350060

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