Your analytics system executes queries against a BigQuery dataset.
The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI.
Then it redirects the BigQuery CLI output to another process.
However, you are getting a permission error from the BigQuery CLI when the queries are executed.
You want to resolve the issue.
What should you do?
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A. B. C. D.B.
Based on the scenario described, it seems that the user is executing a batch SQL query against a BigQuery dataset using the BigQuery CLI. However, they are encountering a permission error when attempting to execute the query. To resolve the issue, there are several options to consider, as described below:
Option A: Grant the service account BigQuery Data Viewer and BigQuery Job User roles. Granting the service account BigQuery Data Viewer and BigQuery Job User roles can resolve the permission issue that the user is encountering. These roles provide the necessary permissions to view data in BigQuery and execute jobs against the dataset. This option is a good choice if the user does not require edit or write access to the dataset.
Option B: Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles. Granting the service account BigQuery Data Editor and BigQuery Data Viewer roles is also a viable option to resolve the permission issue. These roles provide the necessary permissions to view, edit, and write data in BigQuery. This option is a good choice if the user requires edit or write access to the dataset.
Option C: Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI. Creating a view in BigQuery from the SQL query and then selecting from the view in the CLI can also resolve the permission issue. This approach creates a virtual table that can be queried without requiring direct access to the underlying dataset. However, this option may not be suitable if the user needs to perform complex queries that require full access to the dataset.
Option D: Create a new dataset in BigQuery, and copy the source table to the new dataset. Query the new dataset and table from the CLI. Creating a new dataset in BigQuery and copying the source table to the new dataset can also resolve the permission issue. By doing so, the user can create a new dataset with the necessary permissions to execute the query. However, this option may require additional steps to copy the data and may not be feasible if the dataset is very large.
In conclusion, the best option to resolve the permission issue in this scenario would depend on the specific requirements of the user. Option A or Option B would be the most straightforward solutions. Option C and Option D may be considered if the user has specific requirements that are not met by the other options.