issue_comments: 539916279

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https://github.com/pydata/xarray/issues/3386#issuecomment-539916279 https://api.github.com/repos/pydata/xarray/issues/3386 539916279 MDEyOklzc3VlQ29tbWVudDUzOTkxNjI3OQ== 42270910 2019-10-09T09:20:06Z 2019-10-09T09:20:06Z NONE

setting dask.config.set(scheduler="synchronous") globally indeed resolved the threading issues, thanks. However, loading and preprocessing a single timeslice of data is ~40 % slower with dask and open_mfdataset (with chunks={'time':1}) compared to netCDF4.MFDataset . Is this is expected/a known issue? If not, I can try to create a minimal reproducible example.

 
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