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  • alimanfoo · 1 ✖

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  • Fancy indexing a Dataset with dask DataArray triggers multiple computes · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
802732278 https://github.com/pydata/xarray/issues/4663#issuecomment-802732278 https://api.github.com/repos/pydata/xarray/issues/4663 MDEyOklzc3VlQ29tbWVudDgwMjczMjI3OA== alimanfoo 703554 2021-03-19T10:44:31Z 2021-03-19T10:44:31Z CONTRIBUTOR

Thanks @dcherian.

Just to add that if we make progress with supporting indexing with dask arrays then at some point I think we'll hit a separate issue, which is that xarray will require that the chunk sizes of the indexed arrays are computed, but currently calling the dask array method compute_chunk_sizes() is inefficient for n-d arrays. Raised here: https://github.com/dask/dask/issues/7416

In case anyone needs a workaround for indexing a dataset with a 1d boolean dask array, I'm currently using this hacked implementation of a compress() style function that operates on an xarray dataset, which includes more efficient computation of chunk sizes. 

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   Fancy indexing a Dataset with dask DataArray triggers multiple computes 759709924

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