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  • slow performance when storing datasets in gcsfs-backed zarr stores · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
351106449 https://github.com/pydata/xarray/issues/1770#issuecomment-351106449 https://api.github.com/repos/pydata/xarray/issues/1770 MDEyOklzc3VlQ29tbWVudDM1MTEwNjQ0OQ== martindurant 6042212 2017-12-12T16:31:55Z 2017-12-12T16:31:55Z CONTRIBUTOR

Yes, dirs exists to prevent the need to query the server for file-lists multiple times. There is an outstanding issue to move to prefix/delimited listing as with s3fs, rather than fetch the complete listing for a bucket. If all the paths are known beforehand, as might be the case for zarr, then it may be of no use at all - but actually I'm not sure then why it would have been populated.

 
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   slow performance when storing datasets in gcsfs-backed zarr stores 280626621
351100872 https://github.com/pydata/xarray/issues/1770#issuecomment-351100872 https://api.github.com/repos/pydata/xarray/issues/1770 MDEyOklzc3VlQ29tbWVudDM1MTEwMDg3Mg== martindurant 6042212 2017-12-12T16:15:43Z 2017-12-12T16:15:43Z CONTRIBUTOR

I am puzzled that serializing the mapping is pulling the data. GCSMap does not have get/set_state, but the only attributes are the GCSFileSystem and path. Perhaps the __getitem__ gets called? As for the GCSFileSystem, it stores the token with a renewable token, which lives indefinitely, and the refresh API is called upon deserialization. There should probably be a check in _call to ensure that the token hasn't expired.

 
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   slow performance when storing datasets in gcsfs-backed zarr stores 280626621

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