Hi all, I am trying to run a BigQueryTask and load the output to a pd.DataFrame. I followed the example code and have the following output defined:

Dataset = Annotated[StructuredDataset, SCHEMA]

Where schema is using

kwtypes()

to define columns. I’ve set

Dataset

as the

output_structured_dataset_type

for the

BigQueryTask

, when I try to run a task to convert the output to a pd.DataFrame I get an error:

403 Access Denied: Dataset my-flyte-project:<job_ib>: User does not have permission to access results of another user's job.

The task is defined as shown below:

@task
def convert_bq_table_to_pandas_dataframe(sd: Dataset) -> pd.DataFrame:
    return sd.open(pd.DataFrame).all()

I’ve given the service-accounts for

flyteworker

and

flytepropeller

the roles

BigQuery Admin

and

Owner

but still get this Error… Has anyone had this error before? Or know how to resolve it? Alternatively does anyone know the required permissions to get this to work? Thanks

a github issue was created sometime ago to tackle this: https://github.com/flyteorg/flyte/issues/3736. and here's the PR: https://github.com/flyteorg/flyteplugins/pull/355. solution: https://github.com/flyteorg/flyteplugins/pull/355#pullrequestreview-1464049910. is any of this helpful?

Hi Samitha, are there any config changes needed for this?

i'm not sure. @high-accountant-32689 do you know?

@strong-plumber-41198 if you run the query in the PR's example, what

User

you see?

Hi David, When I run a query using the

BigQueryTask

the User is

<mailto:flyte-gcp-flytepropeller@my-project.iam.gserviceaccount.com|flyte-gcp-flytepropeller@my-project.iam.gserviceaccount.com>

, if I use the

bigquery Client

in a

task

the User is

<mailto:flyte-gcp-flyteworkers@my-project.iam.gserviceaccount.com|flyte-gcp-flyteworkers@my-project.iam.gserviceaccount.com>