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  • dcherian · 1 ✖

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  • `xarray.open_zarr()` takes too long to lazy load when the data arrays contain a large number of Dask chunks. · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
983925525 https://github.com/pydata/xarray/issues/6036#issuecomment-983925525 https://api.github.com/repos/pydata/xarray/issues/6036 IC_kwDOAMm_X846pYMV dcherian 2448579 2021-12-01T18:10:07Z 2021-12-01T18:10:07Z MEMBER

@DonjetaR Thanks for the very well written issue! and for confirming #6013.

Could you please add a minimum reproducible example to #6013? I think that would help greatly

The following runs in 1s for me which seems OK. Can you open an issue over at dask about this. Xarray can't do anything about it. ``` python import dask.array

dim_size = (10, 15_000, 15_000) chunks = dask.array.empty(dim_size, chunks=(10, 10, 10)).chunks

%timeit dask.array.core.slices_from_chunks(chunks) ``` On repeated runs it drops down to 200ms (because of caching I guess), so it was important to restart the kernel to test it out.

 
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   `xarray.open_zarr()` takes too long to lazy load when the data arrays contain a large number of Dask chunks. 1068225524

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