issue_comments: 489027263

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https://github.com/pydata/xarray/issues/1823#issuecomment-489027263 https://api.github.com/repos/pydata/xarray/issues/1823 489027263 MDEyOklzc3VlQ29tbWVudDQ4OTAyNzI2Mw== 35968931 2019-05-03T09:25:00Z 2019-05-03T09:25:00Z MEMBER

@dcherian I'm sorry, I'm very interested in this but after reading the issues I'm still not clear on what's being proposed:

What exactly is the bottleneck? Is it reading the coords from all the files? Is it loading the coord values into memory? Is it performing the alignment checks on those coords once they're in memory? Is it performing alignment checks on the dimensions? Is this suggestion relevant to datasets that don't have any coords?

Which of these steps would a join='exact' option omit?

A related optimization would be to allow the user to pass coords='minimal' (or other concat coords options) via open_mfdataset.

But this is already an option to open_mfdataset?

 
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