issue_comments: 255786548

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https://github.com/pydata/xarray/issues/798#issuecomment-255786548 https://api.github.com/repos/pydata/xarray/issues/798 255786548 MDEyOklzc3VlQ29tbWVudDI1NTc4NjU0OA== 1217238 2016-10-24T16:10:14Z 2016-10-24T16:10:40Z MEMBER

I'm happy to help work out a plan here.

It seems like there are basically two steps we need to make this happen: 1. Write the equivalent of futures_to_dask_arrays for xarray.Dataset, i.e., futures_to_xarray_datasets_of_dask_arrays. 2. Integrate this into xarray's higher level utility functions like open_mfdataset. This should be pretty easy after we have futures_to_xarray_datasets_of_dask_arrays.

It's an open question to what extent this needs to interact with xarray's internal backends.DataStore API, which handles the details of decoding files on disk to xarray.Dataset objects. I'm hopeful the answer is "not very much". The DataStore API is a bit cumbersome and overly complex, and could use a refactoring.

 
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