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  • open_mfdataset -> to_netcdf() randomly leading to dead workers · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
749503934 https://github.com/pydata/xarray/issues/4710#issuecomment-749503934 https://api.github.com/repos/pydata/xarray/issues/4710 MDEyOklzc3VlQ29tbWVudDc0OTUwMzkzNA== fmaussion 10050469 2020-12-22T11:54:37Z 2020-12-22T11:54:37Z MEMBER

Thanks for the tip @markelg.

yes, it seems indeed very much related. Closing this in favor of #3961

 
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   open_mfdataset -> to_netcdf() randomly leading to dead workers 771127744
749403542 https://github.com/pydata/xarray/issues/4710#issuecomment-749403542 https://api.github.com/repos/pydata/xarray/issues/4710 MDEyOklzc3VlQ29tbWVudDc0OTQwMzU0Mg== markelg 6883049 2020-12-22T07:58:57Z 2020-12-22T07:58:57Z CONTRIBUTOR

Perhaps this is related to #3961? Did you try to call open_mfdataset with lock=False? 

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   open_mfdataset -> to_netcdf() randomly leading to dead workers 771127744
748328648 https://github.com/pydata/xarray/issues/4710#issuecomment-748328648 https://api.github.com/repos/pydata/xarray/issues/4710 MDEyOklzc3VlQ29tbWVudDc0ODMyODY0OA== TimoRoth 16896306 2020-12-18T21:29:49Z 2020-12-18T21:29:49Z CONTRIBUTOR

We are not setting up a dask cluster at all. OGGM is using python multiprocessing to distribute its work. And the distributed workers then are calling xarray functions.

 
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   open_mfdataset -> to_netcdf() randomly leading to dead workers 771127744
748323504 https://github.com/pydata/xarray/issues/4710#issuecomment-748323504 https://api.github.com/repos/pydata/xarray/issues/4710 MDEyOklzc3VlQ29tbWVudDc0ODMyMzUwNA== dcherian 2448579 2020-12-18T21:16:40Z 2020-12-18T21:16:40Z MEMBER

I've run in to this and usually just call .load or write to zarr instead :)

How are you setting up your dask cluster? Is distributed involved?

 
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   open_mfdataset -> to_netcdf() randomly leading to dead workers 771127744

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