issue_comments: 747777810

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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.

 
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