Fix GCP BigQuery Row Level Errors

When working with GCP BigQuery, you may encounter a configuration error that prevents your data pipeline or messaging system from working. This guide explains the most common mistake with row level and shows the exact fix.

A Common Mistake

Granting row-level access to users without using row-level security (authorized views or row filters), exposing more rows than intended.

The incorrect command:

# User can query the entire table
SELECT * FROM my_project:my_dataset.orders

Error output:

The user sees ALL rows in the orders table.
The table contains orders from all 50 states. The user should only see orders from their assigned region. Row-level filtering is not applied. The user can export all customer data.

The Correct Approach

The right way to configure row level in GCP BigQuery:

CREATE ROW ACCESS POLICY
  us_only_filter
ON my_project:my_dataset.orders
GRANT TO ('user:regional-manager@example.com')
FILTER USING (country = 'US')

Successful result:

Row access policy created.
User queries:
SELECT * FROM my_project:my_dataset.orders
Returns only rows where country = 'US'. Other rows are filtered automatically.

How to Prevent This

Use row-level security (Row Access Policies) to filter rows per user/group. Row Access Policies are applied automatically to all queries. Combine with dataset-level IAM for table access. Row filters can use session user, groups, or column values. Max 100 row access policies per table.

FAQ

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