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-561900194,https://api.github.com/repos/pydata/xarray/issues/1385,561900194,MDEyOklzc3VlQ29tbWVudDU2MTkwMDE5NA==,1411265,2019-12-04T23:57:07Z,2019-12-04T23:57:07Z,NONE,"So is there any word on a best practice, fix, or workaround with the MFDataset performance? Still getting abysmal reading perfomance with a list of NetCDF files that represent sequential times. I want to use MFDataset to chunk multiple time steps into memory at once but its taking 5-10 minutes to construct MFDataset objects and even longer to run .values on it. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,224553135