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/3416#issuecomment-544291094,https://api.github.com/repos/pydata/xarray/issues/3416,544291094,MDEyOklzc3VlQ29tbWVudDU0NDI5MTA5NA==,1217238,2019-10-20T20:47:59Z,2019-10-20T20:47:59Z,MEMBER,SciPy's netCDF module has an additional limitation that would likely be limiting for writing large files: it currently writes netCDF files by loading the entire file into memory at once. Ideally it would support incrementally writing data.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,509285415
https://github.com/pydata/xarray/issues/3416#issuecomment-544290771,https://api.github.com/repos/pydata/xarray/issues/3416,544290771,MDEyOklzc3VlQ29tbWVudDU0NDI5MDc3MQ==,1217238,2019-10-20T20:44:38Z,2019-10-20T20:44:38Z,MEMBER,"This array is 7.5 GB in size, which unfortunately is too big to be stored as a single record in the netCDF3 file format, even the 64-bit version: 
https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html#offset_format_spec

We could potentially support writing these variables to disk with scipy, but it would require refactoring xarray's scipy netCDF backend to write record variables (with indeterminate size), which we currently don't use.

In the meanwhile, the best work-around is to use the netCDF4 file format, either via the netCDF4 Python package or h5netcdf.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,509285415