We have a multi-tenant approach, and want to be able to create multiple "binds" to different "databases", much like you can with traditional databases like postgres.
This started as a discussion in in the bigquery sqlalchemy dialect project:
https://github.com/mxmzdlv/pybigquery/issues/24
https://github.com/mxmzdlv/pybigquery/pull/25
Especially in this comment:
https://github.com/mxmzdlv/pybigquery/pull/25#issuecomment-423078408
It would elegantly solve all our problems to add the ability to restrict the Client class to a specific dataset.
This might be related to this existing issue, but it doesn't seem to be the priority.
https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5183
We would be happy to put together a pull request for this if it's a welcome change.
Thanks!
I should mention, that if there's another, similarly ergonomic way to achieve this kind of safe multi-tenancy, we're very open to it. The only other way I could think of was to create many google cloud "projects", but it seems like that would have a substantial maintenance overhead.
Yes, part of this issue is a duplicate of https://github.com/GoogleCloudPlatform/google-cloud-python/issues/5183 in which we propose allowing defaults for many of the job config classes, including the ability to set a default dataset for query jobs.
We are thinking of having a default QueryJobConfig that you can attach to a client. When you go to insert the query job with client.query() any properties that aren't defined in the query job but are defined in the default job config will be overridden.
Since pybigquery supports a credentials path (and this library supports arbitrary google-auth credentials to the Client constructor), I think that part is covered with some automation on your part for creating service accounts, downloading keys, and granting the service account access to the dataset. I don't think this is something we'd do at the client-library layer, since it covers several APIs and storing keys is application-specific.
Closing as a duplicate of #5183