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/1823#issuecomment-768600657,https://api.github.com/repos/pydata/xarray/issues/1823,768600657,MDEyOklzc3VlQ29tbWVudDc2ODYwMDY1Nw==,9200184,2021-01-27T21:51:24Z,2021-01-27T21:52:11Z,CONTRIBUTOR,"> PS @rabernat
> 
> ```
> %%time
> ds = xr.open_mfdataset(""/glade/p/cesm/community/ASD-HIGH-RES-CESM1/hybrid_v5_rel04_BC5_ne120_t12_pop62/ocn/proc/tseries/monthly/*.nc"", 
>                         parallel=True, coords=""minimal"", data_vars=""minimal"", compat='override')
> ```
> 
> This completes in 40 seconds with 10 workers on cheyenne.

@dcherian,  thanks for your solution. In my experience with 34013 NetCDF files, I could open 117 Gib in 13min 14s. Can I decrease this time?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,288184220
https://github.com/pydata/xarray/pull/3904#issuecomment-605287840,https://api.github.com/repos/pydata/xarray/issues/3904,605287840,MDEyOklzc3VlQ29tbWVudDYwNTI4Nzg0MA==,9200184,2020-03-27T19:53:46Z,2020-03-27T19:56:20Z,CONTRIBUTOR,"@max-sixty, yes thanks, It will be my honor.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,589257707
https://github.com/pydata/xarray/issues/3902#issuecomment-605020497,https://api.github.com/repos/pydata/xarray/issues/3902,605020497,MDEyOklzc3VlQ29tbWVudDYwNTAyMDQ5Nw==,9200184,2020-03-27T14:08:50Z,2020-03-27T14:08:50Z,CONTRIBUTOR,"@kmuehlbauer, thanks a lot.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,589112325
https://github.com/pydata/xarray/issues/3901#issuecomment-604921515,https://api.github.com/repos/pydata/xarray/issues/3901,604921515,MDEyOklzc3VlQ29tbWVudDYwNDkyMTUxNQ==,9200184,2020-03-27T10:17:13Z,2020-03-27T10:17:13Z,CONTRIBUTOR,"@shoyer and @kmuehlbauer, thanks for your help, it works :)","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,588928468
https://github.com/pydata/xarray/issues/3901#issuecomment-604871097,https://api.github.com/repos/pydata/xarray/issues/3901,604871097,MDEyOklzc3VlQ29tbWVudDYwNDg3MTA5Nw==,9200184,2020-03-27T08:11:17Z,2020-03-27T08:11:17Z,CONTRIBUTOR,"I tested it in the last version of jupyter:
`xr.__version__`
'0.15.0'

Unfortunately in [anaconda cloud](https://anaconda.org/anaconda/xarray), there is '0.15.0', and `pip install 'xarray==0.15.1' --force-reinstall` did not work.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,588928468