issue_comments: 747296742

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https://github.com/pydata/xarray/pull/4700#issuecomment-747296742 https://api.github.com/repos/pydata/xarray/issues/4700 747296742 MDEyOklzc3VlQ29tbWVudDc0NzI5Njc0Mg== 10194086 2020-12-17T08:40:57Z 2020-12-17T08:40:57Z MEMBER

It took around 40 s for an array of 10**9 elements. That would be around 150 years of daily data (180*360*150*365). I am not sure though how much sense it makes to have such a large array with object dtype. Also an array of this size is likely a dask array and there is already a performance warning on this. So I'd say go ahead.

https://github.com/pydata/xarray/blob/68d3c340304ccc57cac569b22781e2b9c3dac913/xarray/conventions.py#L194-L197

 
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