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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/4475#issuecomment-702178407 https://api.github.com/repos/pydata/xarray/issues/4475 702178407 MDEyOklzc3VlQ29tbWVudDcwMjE3ODQwNw== 2560426 2020-10-01T14:34:28Z 2020-10-01T14:34:28Z NONE

Thank you, this works for me. However, it's quite slow and seems to scale faster than linearly as the length of datasets increases (the number of groups in the groupby).

Could it be connected to https://github.com/pydata/xarray/issues/2912#issuecomment-485497398 where they suggest to use save_mfdataset instead of to_netcdf? If so, there's a stronger case for supporting delayed objects in save_mfdataset as you said.

Appreciate the help!

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