Bigquery tables get data API returning Access Denied

Google Cloud Data Analytics
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If you’ve already provided the bigquery.tables.getData permission and are still encountering an “Access Denied” error when using the BigQuery API endpoint for listing table data, there are several potential reasons and steps you can take to troubleshoot and resolve the issue:

  1. Verify the Scope of Permissions

  • Direct Assignment: Ensure the permission is directly assigned to the user or service account making the request. Permissions can be granted directly or inherited through roles. The roles/bigquery.dataViewer role includes this permission and is commonly used.

  • Project-Level vs. Dataset-Level: Verify that the permissions are granted at the appropriate level. If you’ve granted permissions at the dataset level, ensure the dataset contains the table you’re querying. Project-level permissions cover all datasets within the project.

  1. Check for Row-Level Security Policies
  • If the table has row-level security (RLS) policies applied, ensure that the query complies with these policies. RLS policies restrict access to rows based on the user’s identity or row attributes. Even with bigquery.tables.getData, access to specific rows may be denied if they don’t meet the policy criteria.
  1. Review IAM Policy Propagation Time
  • Propagation Delay: After updating IAM policies or roles, there can be a short delay before changes take effect. If you’ve just modified permissions, wait a few minutes and try again.
  1. Examine the API Request

  • Correct API Endpoint: Double-check the API request URL and parameters to ensure they are correct. Mistakes in the dataset name, table name, or project ID can lead to access errors.

  • Authentication Token: Verify that the OAuth2 access token used for authentication is valid and has not expired. Ensure the token is associated with the correct user or service account with the necessary permissions.

  1. Use Google Cloud Console or bq Command-Line Tool

  • As a diagnostic step, try accessing the table data using the Google Cloud Console or the bq command-line tool with the same user or service account. This can help determine if the issue is with the API request or the permissions setup.

    bq query --use_legacy_sql=false 'SELECT * FROM project.dataset.table LIMIT 10'

If you’re unable to resolve the issue, consider reaching out to Google Cloud Support for assistance. They can provide more detailed guidance based on your specific project and settings.