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  • mullenkamp · 1 ✖

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  • Should performance be equivalent when opening with chunks or re-chunking a dataset? · 1 ✖

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  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
906023525 https://github.com/pydata/xarray/issues/3486#issuecomment-906023525 https://api.github.com/repos/pydata/xarray/issues/3486 IC_kwDOAMm_X842ANJl mullenkamp 2656596 2021-08-26T02:19:50Z 2021-08-26T02:19:50Z NONE

This seems to be an ongoing problem (Unexpected behaviour when chunking with multiple netcdf files in xarray/dask, Performance of chunking in xarray / dask when opening and re-chunking a dataset) that has not been resolved nor has feedback been provided.

I've been running into this problem trying to handle netcdfs that are larger than my RAM. From my testing, chunks must be passed with open_mfdataset to be of any use. The chunks method on the datatset after opening seems to do nothing in this use case.

 
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   Should performance be equivalent when opening with chunks or re-chunking a dataset?  517799069

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