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  • lanougue · 2 ✖

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  • Concurrent acces with multiple processes using open_mfdataset · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
433393215 https://github.com/pydata/xarray/issues/2494#issuecomment-433393215 https://api.github.com/repos/pydata/xarray/issues/2494 MDEyOklzc3VlQ29tbWVudDQzMzM5MzIxNQ== lanougue 32069530 2018-10-26T12:37:30Z 2018-10-26T12:37:30Z NONE

Hi all, I finally figured out my problem. On each independent process xr.open_mfdataset() seems to naturally try to do some multi-threaded access (even without parallel option ?). Each node of my cluster was configured in such a way that multi-threading was possible (my mistake). Here was my yaml config file used by PBSCluster() jobqueue: pbs: name: dask-worker # Dask worker options cores: 56 processes: 28 I tough that the parallel=True option was to enable parallelized access for my independent process. It actually enable parallelized access for possible threads of each process. Now, I have removed parallel=True from xr.open_mfdataset() call and ensure 1 thread by process by changing my config file: cores: 28 processes: 28 Thanks again for your help

 
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   Concurrent acces with multiple processes using open_mfdataset 371906566
431796693 https://github.com/pydata/xarray/issues/2494#issuecomment-431796693 https://api.github.com/repos/pydata/xarray/issues/2494 MDEyOklzc3VlQ29tbWVudDQzMTc5NjY5Mw== lanougue 32069530 2018-10-22T10:27:04Z 2018-10-22T10:27:04Z NONE

@jhamman I was aware of the difference between the two parallel options. I was thus wondering if I could pass a parallel option to the netcdf4 library via the open_mfdataset() call. I tried to change the engine to netcdf4 and added the backend_kwarg : backend_kwargs={'parallel':True} but I get the same error. I 'll try the suggestion of Stephan to see how it behaves and I will report back. Thanks

 
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   Concurrent acces with multiple processes using open_mfdataset 371906566

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