Looking for relevant python code to be used in the GCP AI Platform notebook which will be able to query GCP Cloud SQL (specifically Postgresql.) Unfortunately, I haven't found any relevat resources/tutorials from GCP official or even unaffiliated resources.
I work on the Developer Relations team for Cloud SQL at Google. The quickest and simplest way to connect to a Cloud SQL instance from an AI Platform Notebook is to use our newly released Cloud SQL Python Connector. To install, run pip install cloud-sql-python-connector[pg8000]
. This will also install the pg8000 driver which is used to connect to Postgres.
Then, you can use the following code to get a connection object which you can use to run queries:
conn = connector.connect(
"project_name:region-name:instance-name",
"pg8000",
user="postgres",
password="password",
db="db_name"
)
An alternative, which is language-independent, is to download and run the Cloud SQL Auth Proxy in a separate terminal from your notebook.
For either of these solutions, make sure to enable the Cloud SQL Admin API first.