What permissions do you need to grant to connection users in order to query Cloud SQL from BigQuery?
To query Cloud SQL from BigQuery in the Google Cloud Platform (GCP), you need to grant specific permissions to the connection users. These permissions ensure that the users have the necessary access to both BigQuery and Cloud SQL resources. In this answer, we will discuss the required permissions and provide a detailed explanation of each.
To begin with, you need to grant the "bigquery.dataViewer" role to the users who will be querying Cloud SQL from BigQuery. This role allows them to view data within BigQuery datasets. By default, this role includes the "bigquery.jobs.create" permission, which is required to run queries.
Next, you need to grant the "cloudsql.instances.connect" permission to the users. This permission allows the users to connect to the Cloud SQL instance from BigQuery. It is important to note that this permission is granted at the project level, so it applies to all Cloud SQL instances within the project.
Additionally, you need to ensure that the users have the necessary permissions to access the Cloud SQL instance itself. This includes granting the appropriate roles at both the project and instance levels. At the project level, the users need the "cloudsql.instances.get" permission to retrieve information about the Cloud SQL instances. At the instance level, the users need the "cloudsql.instances.getIamPolicy" permission to retrieve the IAM policy for the instance.
Furthermore, if you want the users to be able to write data back to the Cloud SQL instance from BigQuery, you need to grant the "bigquery.dataEditor" role to them. This role allows users to edit data within BigQuery datasets, including writing data to external data sources like Cloud SQL.
To summarize, the permissions that you need to grant to connection users in order to query Cloud SQL from BigQuery are as follows:
1. bigquery.dataViewer: This role allows users to view data within BigQuery datasets.
2. cloudsql.instances.connect: This permission enables users to connect to the Cloud SQL instance from BigQuery.
3. cloudsql.instances.get: This permission allows users to retrieve information about the Cloud SQL instances at the project level.
4. cloudsql.instances.getIamPolicy: This permission enables users to retrieve the IAM policy for the Cloud SQL instance at the instance level.
5. bigquery.dataEditor (optional): This role allows users to edit data within BigQuery datasets, including writing data to external data sources like Cloud SQL.
By granting these permissions, you ensure that the connection users have the necessary access to query Cloud SQL from BigQuery in the GCP.
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