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/pull/4700#issuecomment-765655950,https://api.github.com/repos/pydata/xarray/issues/4700,765655950,MDEyOklzc3VlQ29tbWVudDc2NTY1NTk1MA==,10194086,2021-01-22T20:08:54Z,2021-01-22T20:08:54Z,MEMBER,No I wouldn't subsample. With normal use case I meant saving legitimate object arrays. I am not sure how often they occur in the wild.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,768981497
https://github.com/pydata/xarray/pull/4700#issuecomment-764932215,https://api.github.com/repos/pydata/xarray/issues/4700,764932215,MDEyOklzc3VlQ29tbWVudDc2NDkzMjIxNQ==,10194086,2021-01-21T20:52:18Z,2021-01-21T20:52:18Z,MEMBER,"Yes, I'd say go ahead. (I just hope it's not too big of a performance hit for normal use cases.)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,768981497
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","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,768981497