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  • dcherian · 2 ✖

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  • open_mfdataset very slow · 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
1489341690 https://github.com/pydata/xarray/issues/7697#issuecomment-1489341690 https://api.github.com/repos/pydata/xarray/issues/7697 IC_kwDOAMm_X85YxYz6 dcherian 2448579 2023-03-29T21:20:59Z 2023-03-29T21:20:59Z MEMBER

I thought the compat='override' option bypassed most of the consistency checking.

we still construct a dataset representation for each file which involves reading all coordinates etc. The consistency checking is bypassed at the "concatenation" stage.

You could also speed using dask by setting up a cluster and using parallel=True

 
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   open_mfdataset very slow 1646267547
1489302292 https://github.com/pydata/xarray/issues/7697#issuecomment-1489302292 https://api.github.com/repos/pydata/xarray/issues/7697 IC_kwDOAMm_X85YxPMU dcherian 2448579 2023-03-29T20:53:37Z 2023-03-29T20:53:37Z MEMBER

Fundamentally, xarray has to touch every file because there is no guarantee they are consistent with each other.

A number of us now use kerchunk to create virtual aggregate datasets that can be read a lot faster.

 
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   open_mfdataset very slow 1646267547

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