GCP Cloud Run service how to to connect to Cloud SQL instance: 'Access denied for user' scenarios
I've encountered a strange issue with I'm working on a project and hit a roadblock... I've looked through the documentation and I'm still confused about I'm running a Cloud Run service that needs to connect to a Cloud SQL instance, but I'm working with an 'Access denied for user' behavior when trying to perform operations on the database. My Cloud Run service is set up to use a service account with the necessary permissions. I've verified that the connection details (instance connection name, database name, user, and password) are correct. Here’s a snippet of how I'm attempting to connect: ```python import os import sqlalchemy DATABASE_USER = os.getenv('DB_USER') DATABASE_PASSWORD = os.getenv('DB_PASS') DATABASE_NAME = os.getenv('DB_NAME') INSTANCE_CONNECTION_NAME = os.getenv('INSTANCE_CONNECTION_NAME') connection_string = f'mysql+pymysql://{{DATABASE_USER}}:{{DATABASE_PASSWORD}}@/{DATABASE_NAME}?unix_socket=/cloudsql/{{INSTANCE_CONNECTION_NAME}}' engine = sqlalchemy.create_engine(connection_string) with engine.connect() as connection: result = connection.execute("SELECT * FROM my_table") for row in result: print(row) ``` I've also added the Cloud SQL Admin API to my project and ensured that the Cloud Run service account has the 'Cloud SQL Client' role. Additionally, I have the required environment variables set in my Cloud Run service configuration. However, the behavior continues. I suspect it might be related to the way the connection is being established. I've checked the IAM roles, ensured that the Cloud SQL instance is indeed set to allow connections from my Cloud Run service, and even tried restarting my Cloud Run service to no avail. Can anyone guide to figure out what's going wrong here? My development environment is macOS. Any help would be greatly appreciated! For context: I'm using Python on Windows. I'm on Ubuntu 22.04 using the latest version of Python. Thanks for any help you can provide! I'm open to any suggestions.