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issue_comments: 286212647

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html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/1301#issuecomment-286212647 https://api.github.com/repos/pydata/xarray/issues/1301 286212647 MDEyOklzc3VlQ29tbWVudDI4NjIxMjY0Nw== 1360241 2017-03-13T19:12:13Z 2017-03-13T19:12:13Z NONE

Data: Five files that are approximately 450 MB each.

venv1 dask 0.13.0 py27_0 conda-forge xarray 0.8.2 py27_0 conda-forge 1.51642394066 seconds to load using open_mfdataset

venv2: dask 0.13.0 py27_0 conda-forge xarray 0.9.1 py27_0 conda-forge 279.011202097 seconds to load using open_mfdataset

I ran the same code in the OP on two conda envs with the same version of dask but two different versions of xarray. There was a significant difference in load time between the two conda envs.

I've posted the data on my work site if anyone wants to double check: https://marine.rutgers.edu/~michaesm/netcdf/data/

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