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/3854#issuecomment-597643353,https://api.github.com/repos/pydata/xarray/issues/3854,597643353,MDEyOklzc3VlQ29tbWVudDU5NzY0MzM1Mw==,10050469,2020-03-11T13:44:08Z,2020-03-11T13:44:08Z,MEMBER,If you want to test builds on RTD before merging you can use the fix-docs branch for that and check its status here: https://readthedocs.org/projects/xray/builds/ ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,578448001
https://github.com/pydata/xarray/pull/3854#issuecomment-597590075,https://api.github.com/repos/pydata/xarray/issues/3854,597590075,MDEyOklzc3VlQ29tbWVudDU5NzU5MDA3NQ==,14808389,2020-03-11T11:55:19Z,2020-03-11T11:55:19Z,MEMBER,"In the issue tracker of RTD they state that they are testing an upgrade to a bigger build server, which potentially could resolve the `conda` / `conda-forge` memory issues.

Should we have this close #3797? I think the `conda` / `pip` hybrid environment consumed even more memory.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,578448001