I can fetch data from native BigQuery tables using a service account.
However, I encounter an error when attempting to select from a Google Sheets-based table in BigQuery using the same service account.
from google.cloud import bigquery
client = bigquery.Client.from_service_account_json(
json_credentials_path='creds.json',
project='xxx',
)
# this works fine
print('test basic query: select 1')
job = client.run_sync_query('select 1')
job.run()
print('results:', list(job.fetch_data()))
print('-'*50)
# this breaks
print('attempting to fetch from sheets-based BQ table')
job2 = client.run_sync_query('select * from testing.asdf')
job2.run()
The output:
⚡ ~/Desktop ⚡ python3 bq_test.py
test basic query: select 1
results: [(1,)]
--------------------------------------------------
attempting to fetch from sheets-based BQ table
Traceback (most recent call last):
File "bq_test.py", line 16, in <module>
job2.run()
File "/usr/local/lib/python3.6/site-packages/google/cloud/bigquery/query.py", line 381, in run
method='POST', path=path, data=self._build_resource())
File "/usr/local/lib/python3.6/site-packages/google/cloud/_http.py", line 293, in api_request
raise exceptions.from_http_response(response)
google.cloud.exceptions.Forbidden: 403 POST https://www.googleapis.com/bigquery/v2/projects/warby-parker-1348/queries: Access Denied: BigQuery BigQuery: No OAuth token with Google Drive scope was found.
I've attempted to use oauth2client.service_account.ServiceAccountCredentials for explicitly defining scopes, including a scope for drive, but I get the following error when attempting to do so:
ValueError: This library only supports credentials from google-auth-library-python. See https://google-cloud-python.readthedocs.io/en/latest/core/auth.html for help on authentication with this library.
My understanding is that auth is handled via IAM now, but I don't see any roles to apply to this service account that have anything to do with drive.
How can I select from a sheets-backed table using the BigQuery python client?