issue_comments: 177527321

Sorry for the delay in response.

Nothing here seems dangerous to me. @shoyer does the writeup above raise any questions for you?

If convenient, it would be interesting to see the output of a few of the dask profilers:

$ conda install bokeh $ pip install cachey

``` python import cachey from dask.diagnostics import CacheProfiler, ResourceProfiler, Profiler, visualize with Profiler() as prof, CacheProfiler(metric=cachey.nbytes) as cprof, ResourceProfiler() as rprof: # call the final dataset.to_netcdf() function

visualize([prof, cprof, rprof], file_path='profile.html') ```

And then upload that file somewhere, perhaps to a gist. In order to make this run to completion you might have to operate on a subset of the dataset.

Alternatively, is there a way for me to recreate a version of this dataset on my local machine? @shoyer is there a way to capture the metadata of netcdf files and reinstantiate empty copies of them on another machine?