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/591#issuecomment-453800603,https://api.github.com/repos/pydata/xarray/issues/591,453800603,MDEyOklzc3VlQ29tbWVudDQ1MzgwMDYwMw==,2443309,2019-01-13T04:11:08Z,2019-01-13T04:11:08Z,MEMBER,Closing this old issue. The distrarray project seems to be done and we have more recent issues discussing flexible array interfaces.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,108623921
https://github.com/pydata/xarray/issues/591#issuecomment-144171481,https://api.github.com/repos/pydata/xarray/issues/591,144171481,MDEyOklzc3VlQ29tbWVudDE0NDE3MTQ4MQ==,2443309,2015-09-29T19:58:27Z,2015-09-29T19:58:27Z,MEMBER,"I think this is an interesting idea.  I was just asking @shoyer the other day if we could use `dask.distributed` with `xray` objects.

@shoyer will be able to speak more to the applicability and effort required to implement `distarray`.  I'm not sure how many array abstractions we want in xray.  Currently we have two (numpy and dask).  Fully distributed arrays may be the logical extension.

One major drawback I see is that we don't have a parallel netCDF library in python so I/O will be an issue.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,108623921