Read data shared using Delta Sharing open sharing (for recipients) FileNotFoundError

[WarmCat]

I'm using the docs here: https://docs.databricks.com/en/data-sharing/read-data-open.html#store-creds

However I am unable to read the stored file which is sucessfully created with the following code:

%scala
dbutils.fs.put("dbfs:/FileStore/extraction/config.share","""
{"shareCredentialsVersion":1,"bearerToken":"XXXXXXXXXXXXXXXXXX","endpoint":"https://ukwest.azuredatabricks.net/api/2.0/delta-sharing/metastores/XXXXXXXXXXXXXXXXXX","expirationTime":"9999-12-31T23:59:59.999Z"}
""")

When I attempt to read back the file with the following example code:

import delta_sharing
client = delta_sharing.SharingClient(f"dbfs:/FileStore/extraction/config.share")
client.list_all_tables()

The following error is received:

FileNotFoundError: [Errno 2] No such file or directory: '/databricks/driver/dbfs:/FileStore/extraction/config.share'
File <command-3352291941134744>, line 2
      1 import delta_sharing
----> 2 client = delta_sharing.SharingClient(f"dbfs:/FileStore/extraction/config.share")
      3 client.list_all_tables()
File /local_disk0/.ephemeral_nfs/envs/pythonEnv-fe1622b9-cf42-4ef3-9ffc-a7ec8a5b3a2e/lib/python3.11/site-packages/fsspec/implementations/local.py:360, in LocalFileOpener._open(self)
    358 if self.f is None or self.f.closed:
    359     if self.autocommit or "w" not in self.mode:
--> 360         self.f = open(self.path, mode=self.mode)
    361         if self.compression:
    362             compress = compr[self.compression]

The file browser in Catalog, DBFS shows that the file is present.
What is going on here? Also why is the documentation incorrect?

Thanks in advance

Wayne

[daniel_sahal]

@WarmCat 
As it states in the documentation, try reading the file from 

/dbfs/<dbfs-path>/config.share

not from

dbfs:/<dbfs-path>/config.share

[WarmCat]

Thanks Daniel, but that does not work either.
The only thing that allowed progress was to use:

client = delta_sharing.SharingClient(f"file:///tmp/config.share")

I gave up and installed Apache Spark locally in a venv for now, and will be using AWS going forward.

Not a great experience with Databricks, for example even trying to preview this post results in an error!

Anyway, thanks for your efforts, 

Wayne.