We upgraded to Composer 2 and switched from BaseHook to PostgresHook, yet our Airflow DAG still fails to connect via the Cloud SQL proxy and runs slowly.
from airflow.hooks.postgres_hook import PostgresHook
def build_engine(conn_ref):
hook = PostgresHook(conn_ref)
return hook.get_sqlalchemy_engine()
What advantages does using the proxy offer over connecting directly via IP?
Based on my experience, using the Cloud SQL proxy provides a layer of abstraction that helps manage secure connections more efficiently. The proxy handles authentication transparently and automatically manages IP whitelisting, which can be challenging when working with dynamic IP addresses. It also offers automatic encryption of data in transit, reducing configuration complexity and enhancing security. Overall, it simplifies connection management even though it may introduce some performance overhead. However, the benefits in security and ease of maintenance typically outweigh the potential latency issues.
i think the proxy sort of automates the conncetion security, handling auth and problematic ip issues, so it reduces manual errors. even if it feels a bit slower, the benefits in terms of saftey and ease often outweigh the minor lag and extra setup complexity.
hey, i notied that using the proxy sometimes minimizes pesky direct connection errors by handling retrys behind the scenes. while it may add a slight overhead, do u think its value in easier debuggin outways the performance cost?