[jira] [Assigned] (BEAM-12879) Downloading GCS objects suddenly require storage.buckets.get permission

["Ahmet Altay (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-12879?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ahmet Altay reassigned BEAM-12879:
----------------------------------

    Assignee: Valentyn Tymofieiev

> Downloading GCS objects suddenly require storage.buckets.get permission
> -----------------------------------------------------------------------
>
>                 Key: BEAM-12879
>                 URL: https://issues.apache.org/jira/browse/BEAM-12879
>             Project: Beam
>          Issue Type: Bug
>          Components: io-py-gcp
>    Affects Versions: 2.32.0
>            Reporter: Robert Jany
>            Assignee: Valentyn Tymofieiev
>            Priority: P2
>
> With PR [https://github.com/apache/beam/pull/14770] downloading GCS objects requires an additional IAM role `storage.objects.get` to get the project_number based on the bucket name. 
> If the service account or user does not have said role the following error will show:
> {code:python}
> Traceback (most recent call last):
>   File "/usr/local/lib/python3.7/site-packages/dataflow_worker/batchworker.py", line 651, in do_work
>     work_executor.execute()
>   File "/usr/local/lib/python3.7/site-packages/dataflow_worker/executor.py", line 179, in execute
>     op.start()
>   File "dataflow_worker/native_operations.py", line 38, in dataflow_worker.native_operations.NativeReadOperation.start
>   File "dataflow_worker/native_operations.py", line 39, in dataflow_worker.native_operations.NativeReadOperation.start
>   File "dataflow_worker/native_operations.py", line 44, in dataflow_worker.native_operations.NativeReadOperation.start
>   File "dataflow_worker/native_operations.py", line 54, in dataflow_worker.native_operations.NativeReadOperation.start
>   File "apache_beam/runners/worker/operations.py", line 353, in apache_beam.runners.worker.operations.Operation.output
>   File "apache_beam/runners/worker/operations.py", line 215, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
>   File "apache_beam/runners/worker/operations.py", line 712, in apache_beam.runners.worker.operations.DoOperation.process
>   File "apache_beam/runners/worker/operations.py", line 713, in apache_beam.runners.worker.operations.DoOperation.process
>   File "apache_beam/runners/common.py", line 1234, in apache_beam.runners.common.DoFnRunner.process
>   File "apache_beam/runners/common.py", line 1315, in apache_beam.runners.common.DoFnRunner._reraise_augmented
>   File "apache_beam/runners/common.py", line 1232, in apache_beam.runners.common.DoFnRunner.process
>   File "apache_beam/runners/common.py", line 571, in apache_beam.runners.common.SimpleInvoker.invoke_process
>   File "apache_beam/runners/common.py", line 1368, in apache_beam.runners.common._OutputProcessor.process_outputs
>   File "/usr/local/lib/python3.7/site-packages/xyz/package/file.py", line 112, in process
>     with FileSystems.open(element["gcs_uri"]) as file:
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/filesystems.py", line 244, in open
>     return filesystem.open(path, mime_type, compression_type)
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/gcsfilesystem.py", line 177, in open
>     return self._path_open(path, 'rb', mime_type, compression_type)
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/gcsfilesystem.py", line 138, in _path_open
>     raw_file = gcsio.GcsIO().open(path, mode, mime_type=mime_type)
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/gcsio.py", line 227, in open
>     get_project_number=self.get_project_number)
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/gcsio.py", line 585, in __init__
>     project_number = self._get_project_number(self._bucket)
>   File "/usr/local/lib/python3.7/site-packages/apache_beam/io/gcp/gcsio.py", line 166, in get_project_number
>     self.bucket_to_project_number[bucket] = bucket_metadata.projectNumber
> AttributeError: 'NoneType' object has no attribute 'projectNumber' [while running 'read from GCS']
> {code}
>  
> The error message does not hint what goes wrong exactly but after some digging my assumption is that when trying to get the `bucket_metadata ` in [get_project_number|https://github.com/roger-mike/beam/blob/f0d0dd561a0955afb73cf595a3015a7ca839d5b7/sdks/python/apache_beam/io/gcp/gcsio.py#L161] we get a a HTTP Error and thus a None (since when catching this error a None is returned) due to the lack of permissions leading to `bucket_metadata` being None.
> The problem is, that the required permission (`storage.buckets.get`) is only covered in the predefined role `Storage Admin (roles/storage.admin)` which I believe shouldn't be necessary in order to access objects from GCS.
> Not sure what the solution would look like: We want the metadata incl. the project number but on the other hand it seems excessive to have to give storage admin (or having to create custom roles) in order to work with GCS objects. In any case this situation needs a more elaborate error message. [get_project_number|https://github.com/roger-mike/beam/blob/f0d0dd561a0955afb73cf595a3015a7ca839d5b7/sdks/python/apache_beam/io/gcp/gcsio.py#L161] should handle the situation of getting a None from [get_bucket|https://github.com/roger-mike/beam/blob/f0d0dd561a0955afb73cf595a3015a7ca839d5b7/sdks/python/apache_beam/io/gcp/gcsio.py#L176] gracefully than failing on an Attribute error as seen above.
> Note: This issue will probably not only occur in the Python SDK, but I believe to have checked the Java implementation for this and at least there we should be getting a more precise error.
> First issue, don't eat me alive :)



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