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  • bolliger32 · 5 ✖

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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
828072654 https://github.com/pydata/xarray/issues/5219#issuecomment-828072654 https://api.github.com/repos/pydata/xarray/issues/5219 MDEyOklzc3VlQ29tbWVudDgyODA3MjY1NA== bolliger32 4801430 2021-04-28T01:31:17Z 2021-04-28T01:31:17Z CONTRIBUTOR

Yup this all makes sense thanks for the explanation @rabernat . It does seem like it would be good to drop encoding["chunks"] at some point but I can see how that is tricky timing. I'm assuming it's necessary metadata to keep around when the zarr has been "opened" but data has not yet been read, b/c it is used by xarray to read the zarr?

Anyways, we'll continue with the manual deletion for now but I'm inclined to keep this issue open as I do think it would be helpful to eventually figure out how to automatically do this.

 
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   Zarr encoding attributes persist after slicing data, raising error on `to_zarr` 868352536
828004004 https://github.com/pydata/xarray/issues/5219#issuecomment-828004004 https://api.github.com/repos/pydata/xarray/issues/5219 MDEyOklzc3VlQ29tbWVudDgyODAwNDAwNA== bolliger32 4801430 2021-04-27T23:05:02Z 2021-04-27T23:05:28Z CONTRIBUTOR

Thanks for the pointer @mathause that is super helpful. And thanks for #5065 @rabernat. If I'm understanding the PR correctly (looks like it evolved a lot!) in most cases matching the example above, we probably would NOT want to use safe_chunks=False, correct? B/c if we're writing in parallel, this could lead to data corruption. Instead, we'd want to manually delete the chunks item from each variables encoding attribute after loading/persisting the data into memory. That way, to_zarr would use the dask chunks as the zarr chunks, rather than relying on whatever chunks were used in the "original" zarr store (the source of the in-memory Dataset).

Does that sound right? I feel like if I'm reading through the PR comments correctly, this was one of the controversial parts that didnt' end up in the merged PR.

 
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   Zarr encoding attributes persist after slicing data, raising error on `to_zarr` 868352536
568142720 https://github.com/pydata/xarray/pull/3649#issuecomment-568142720 https://api.github.com/repos/pydata/xarray/issues/3649 MDEyOklzc3VlQ29tbWVudDU2ODE0MjcyMA== bolliger32 4801430 2019-12-21T02:03:21Z 2019-12-21T02:03:21Z CONTRIBUTOR

Done

 
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   allow incomplete hypercubes in combine_by_coords 540601428
568109804 https://github.com/pydata/xarray/pull/3649#issuecomment-568109804 https://api.github.com/repos/pydata/xarray/issues/3649 MDEyOklzc3VlQ29tbWVudDU2ODEwOTgwNA== bolliger32 4801430 2019-12-20T22:23:56Z 2019-12-20T22:23:56Z CONTRIBUTOR

Will do!

 
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   allow incomplete hypercubes in combine_by_coords 540601428
568067947 https://github.com/pydata/xarray/pull/3649#issuecomment-568067947 https://api.github.com/repos/pydata/xarray/issues/3649 MDEyOklzc3VlQ29tbWVudDU2ODA2Nzk0Nw== bolliger32 4801430 2019-12-20T19:56:19Z 2019-12-20T19:56:56Z CONTRIBUTOR

yeah - that makes sense! So if fill_value is None then we can have the additional check to make sure it's a complete hypercube. The next question, like you mention, is whether we change the default fill_value to None. It seems like that would make the most sense to me. That way, the default is to throw an error with incomplete hypercubes (the previous behavior), and the incompleteness is only allowed if you provide a value to fill with. But I can see your point about having the default be dtypes.NA for consistency with merge and concat. Thoughts?

 
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   allow incomplete hypercubes in combine_by_coords 540601428

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