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/1385#issuecomment-756948150,https://api.github.com/repos/pydata/xarray/issues/1385,756948150,MDEyOklzc3VlQ29tbWVudDc1Njk0ODE1MA==,2448579,2021-01-08T19:20:51Z,2021-01-08T19:20:51Z,MEMBER,"> setting parallel=True seg faults... I'm betting that is some quirk of my python environment, though.

This is important! Otherwise that timing scales with number of files.
If you get that to work, then you can convert to a dask dataframe and keep things lazy.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,224553135
https://github.com/pydata/xarray/issues/1385#issuecomment-756830228,https://api.github.com/repos/pydata/xarray/issues/1385,756830228,MDEyOklzc3VlQ29tbWVudDc1NjgzMDIyOA==,2448579,2021-01-08T15:52:49Z,2021-01-08T15:53:22Z,MEMBER,"@jameshalgren A lot of these issues have been fixed. Have you tried the advice here:  https://xarray.pydata.org/en/stable/io.html#reading-multi-file-datasets? 

If not,  a reproducible example would help (I have access to Cheyenne). Let's also move this conversation to the ""Discussions"" forum: https://github.com/pydata/xarray/discussions","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,224553135
https://github.com/pydata/xarray/issues/1385#issuecomment-685164626,https://api.github.com/repos/pydata/xarray/issues/1385,685164626,MDEyOklzc3VlQ29tbWVudDY4NTE2NDYyNg==,2448579,2020-09-01T22:21:58Z,2020-09-01T22:21:58Z,MEMBER,This is the most up-to-date documentation on this issue: https://xarray.pydata.org/en/stable/io.html#reading-multi-file-datasets,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,224553135