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/4704#issuecomment-747777810,https://api.github.com/repos/pydata/xarray/issues/4704,747777810,MDEyOklzc3VlQ29tbWVudDc0Nzc3NzgxMA==,1217238,2020-12-17T23:51:57Z,2020-12-17T23:51:57Z,MEMBER,"This does happen with some other backends, specifically netCDF and pydap when access remote datasets via HTTP/opendap. We have a `robust_getitem` helper functions for this that you'll see is used in the netCDF4 and pydap backends:
https://github.com/pydata/xarray/blob/20d51cc7a49f14ff5e16316dcf00d1ade6a1c940/xarray/backends/common.py#L41

I think exponential backoff with fuzzing is the right strategy for rare network failures, but I would suggest trying to push this to as low of a level as possible, e.g., ideally inside gcsfs. Retrying the whole dask computation seems quite wasteful.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,770006670