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  • mrocklin · 2 ✖

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  • zarr as persistent store for xarray · 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
274209930 https://github.com/pydata/xarray/issues/1223#issuecomment-274209930 https://api.github.com/repos/pydata/xarray/issues/1223 MDEyOklzc3VlQ29tbWVudDI3NDIwOTkzMA== mrocklin 306380 2017-01-20T23:47:29Z 2017-01-20T23:47:29Z MEMBER

Also cc @alimanfoo 

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   zarr as persistent store for xarray 202260275
274200419 https://github.com/pydata/xarray/issues/1223#issuecomment-274200419 https://api.github.com/repos/pydata/xarray/issues/1223 MDEyOklzc3VlQ29tbWVudDI3NDIwMDQxOQ== mrocklin 306380 2017-01-20T22:46:44Z 2017-01-20T22:46:44Z MEMBER

This looks pretty cool to me. I expected it to be harder to encode xarray into zarr. Some thoughts/comments:

  1. Is it harder to encode a full xarray into zarr? Are there cases that are not covered by this example that are likely to occur in the wild (mostly a question for @shoyer)
  2. I guess one major thing missing is storing full Dataset objects rather than just DataArrays. I suspect that scientific users want to keep all of the variables and coordinates in a single artifact
  3. It would be nice to avoid using pickle if possible, so that the data could be cross-language.
  4. How open is the XArray community to adding experimental to/from_zarr methods?
  5. Eventually we probably want to do lazy_value = da.store(..., compute=False) and then compute all of them at once

@pwolfram @rabernat @jhamman 

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   zarr as persistent store for xarray 202260275

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