issue_comments: 1463576675

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https://github.com/pydata/xarray/issues/7574#issuecomment-1463576675 https://api.github.com/repos/pydata/xarray/issues/7574 1463576675 IC_kwDOAMm_X85XPGhj 5821660 2023-03-10T10:12:27Z 2023-03-10T10:12:27Z MEMBER

The difference between parallel=False vs parallel=True is how the cache is setup:

  • parallel=False, the cache-key looks like:

[<class 'h5netcdf.core.File'>, (<File-like object S3FileSystem, noaa-goes16/ABI-L2-LSTC/2022/185/03/OR_ABI-L2-LSTC-M6_G16_s20221850301180_e20221850303553_c20221850305091.nc>,), 'r', (('decode_vlen_strings', True), ('invalid_netcdf', None)), '50fa07a0-7db1-420d-b2e1-5ad4c1328be4']

  • parallel=True, the cache-key looks like:

[<class 'h5netcdf.core.File'>, ((b'FHIB\x00\x1dn"\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00u[...cutted...],), 'r', (('decode_vlen_strings', True), ('invalid_netcdf', None)), 'be975f9d-710d-4c2e-9e03-606b6f8f0810']

So this has something to do, when and how the cache is initialized. In the first case we've got the file-like object, but in the second case we've got the binary string. @martindurant do you have some idea what's going on here and where to look for fixing this?

 
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