issue_comments: 1210238864

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https://github.com/pydata/xarray/issues/6904#issuecomment-1210238864 https://api.github.com/repos/pydata/xarray/issues/6904 1210238864 IC_kwDOAMm_X85IIseQ 12760310 2022-08-10T06:51:18Z 2022-08-10T06:51:18Z NONE

Can you try explicitly passing in a multiprocessing lock into the open_dataset() constructor? Something like:

python from multiprocessing import Lock ds = xarray.open_dataset(file, lock=Lock())

(We automatically select appropriate locks if using Dask, but I'm not sure how we would do that more generally...)

ok that's a good shot. Will that work in the same way if I still use process_map, which uses concurrent.futures under the hood?

 
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