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https://github.com/pydata/xarray/issues/2499#issuecomment-431657200 https://api.github.com/repos/pydata/xarray/issues/2499 431657200 MDEyOklzc3VlQ29tbWVudDQzMTY1NzIwMA== 12229877 2018-10-21T10:30:23Z 2018-10-21T10:30:23Z CONTRIBUTOR

dataset = xr.open_dataset(netcdf_precip, chunks={'lat': 1})

This makes me really suspicious - lat=1 is a very very small chunk size, and completely unchunked in time and lon. Without knowing anything else, I'd try chunks=dict(lat=200, lon=200) or higher depending on the time dim - Dask is most efficient with chunks of around 10MB for most workloads.

This all also depends on the data layout on disk too - can you share repr(xr.open_dataset(netcdf_precip))? What does ncdump say?

 
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