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  • Refactor `xr.save_mfdataset()` to automatically save an xarray object backed by dask arrays to multiple files · 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
714633238 https://github.com/pydata/xarray/issues/4527#issuecomment-714633238 https://api.github.com/repos/pydata/xarray/issues/4527 MDEyOklzc3VlQ29tbWVudDcxNDYzMzIzOA== dcherian 2448579 2020-10-22T17:06:46Z 2020-10-22T17:06:46Z MEMBER

Perhaps split_chunks()?

There was a proposal for .blocks (https://github.com/pydata/xarray/issues/3147#issuecomment-513044413) I agree that 'chunk id' would be useful. Does dask expose that somehow?

 
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   Refactor `xr.save_mfdataset()` to automatically save an xarray object backed by dask arrays to multiple files 726020233
714625909 https://github.com/pydata/xarray/issues/4527#issuecomment-714625909 https://api.github.com/repos/pydata/xarray/issues/4527 MDEyOklzc3VlQ29tbWVudDcxNDYyNTkwOQ== shoyer 1217238 2020-10-22T16:53:45Z 2020-10-22T16:53:45Z MEMBER

I agree, this does sound useful!

It might make sense to split this into a few pieces of functionality:

  1. A new helper function that splits an xarray object into separate objects for each chunk, including some representation of the "chunk id". Perhaps split_chunks()?
  2. A new higher level function that combines (1) and the existing save_mfdataset to automatically save an xarray object into multiple files. This probably should be a new function rather than using the existing save_mfdataset because the API is different.
 
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   Refactor `xr.save_mfdataset()` to automatically save an xarray object backed by dask arrays to multiple files 726020233

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