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/1301#issuecomment-285052725,https://api.github.com/repos/pydata/xarray/issues/1301,285052725,MDEyOklzc3VlQ29tbWVudDI4NTA1MjcyNQ==,743508,2017-03-08T14:20:30Z,2017-03-08T14:20:30Z,CONTRIBUTOR,My 2cents - I've found that with big files any `%prun` tends to show `method 'acquire' of '_thread.lock'` as one of the highest time but it's not necessarily indicative of where the perf issue comes from because it's effectively just waiting for IO which is always slow. One thing that helps get a better profile is setting `dask` backend to the non-parallel `sync` option which gives cleaner profiles. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,212561278