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/1189#issuecomment-269573022,https://api.github.com/repos/pydata/xarray/issues/1189,269573022,MDEyOklzc3VlQ29tbWVudDI2OTU3MzAyMg==,1217238,2016-12-29T02:30:16Z,2016-12-29T02:30:16Z,MEMBER,"Actually, I just tested it and it appears that forking also works, as long as you create the pool before opening any files. Otherwise, the netCDF library crashes (https://github.com/pydata/xarray/pull/1128#issuecomment-261841025).

A local ""distributed"" scheduler might indeed also work, but at least when operating on a single machine it makes sense to bring all data into a single process once it's been loaded for multi-threaded data analysis.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,197939448