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/1971#issuecomment-392572591,https://api.github.com/repos/pydata/xarray/issues/1971,392572591,MDEyOklzc3VlQ29tbWVudDM5MjU3MjU5MQ==,6404167,2018-05-28T17:12:51Z,2018-05-28T17:13:56Z,CONTRIBUTOR,"Seems like the distributed scheduler is the advised one to use in general, so maybe some tests could be added for this one. For sure for diskIO, would be interesting to see the difference.


http://dask.pydata.org/en/latest/setup.html

> Note that the newer dask.distributed scheduler is often preferable even on single workstations. It contains many diagnostics and features not found in the older single-machine scheduler. The following pages explain in more detail how to set up Dask on a variety of local and distributed hardware.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,302930480