issue_comments: 365412033

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https://github.com/pydata/xarray/pull/1528#issuecomment-365412033 https://api.github.com/repos/pydata/xarray/issues/1528 365412033 MDEyOklzc3VlQ29tbWVudDM2NTQxMjAzMw== 6042212 2018-02-13T21:35:03Z 2018-02-13T21:35:03Z CONTRIBUTOR

Yeah, ideally when adding a variable like ds['myvar'] = xr.DataArray(data=da.zeros(..., chunks=(..)), dims=['l', 'b', 'v']) ds.to_zarr(mapping) we should be able to apply an optimization strategy in which the zarr array is created without filling in all those unnecessary zeros. This seems doable.

On the other hand, implementing ds.myvar[slice, slice, slice] = some data ds.to_zarr(mapping) (which cannot be done currently with dask-arrays at all), in such a way that only partitions with data get updated - this seems really hard.

 
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