issue_comments: 433393215

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https://github.com/pydata/xarray/issues/2494#issuecomment-433393215 https://api.github.com/repos/pydata/xarray/issues/2494 433393215 MDEyOklzc3VlQ29tbWVudDQzMzM5MzIxNQ== 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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