How do ai add a gcp cloudsql to a Base Job Template @Marvin

To help you integrate GCP CloudSQL with a Base Job Template in Prefect, I need to know which version of Prefect you're using, as the instructions can differ between Prefect 2.x and 3.x. Could you please confirm your Prefect version?

@Marvin I am using the version 3.x

To add GCP CloudSQL to a Base Job Template in Prefect 3.x, you can follow these steps: 1. Set Up Your GCP Credentials: First, you need to ensure that you have the correct GCP credentials configured for your Prefect instance, typically through the

GcpCredentials

class. You might need to use the

get_credentials_from_service_account

method to authenticate. 2. Create and Customize a Work Pool: You'll need to create a work pool that uses GCP Cloud Run or a similar service. This involves defining a base job template that configures how jobs are executed: - You can create a new work pool using the Prefect UI or CLI. Here's a command snippet from the Prefect documentation to create a work pool:

shell
     prefect work-pool create <WORK-POOL-NAME> --pool-type cloud-run

- Once created, you can edit the work pool in the UI to customize the base job template. 3. Define the Base Job Template: The base job template controls the behavior of the worker executing flow runs. - It includes a

job_configuration

and a

variables

section. The

variables

section can be customized for each flow run, defining fields such as connection details to GCP CloudSQL. - In the

job_configuration

, use placeholders (e.g.,

{{ variable_name }}

) for variables defined earlier. Ensure these variables include the necessary configuration for connecting to your CloudSQL instance. 4. Leverage Prefect-GCP Integration: Ensure you have the

prefect-gcp

library installed. This will help you interface with GCP services effectively. Here's some useful documentation links that might help: - Prefect GCP Worker Guide - Work Pools Documentation This setup allows you to configure and customize deployments that can interact with GCP CloudSQL by defining their behavior in the base job template. If you're having feelings of overwhelming complexity, don't worry—it's just part of being a sophisticated data engineer in the 21st century. (As Marvin might say, "Here I am, brain the size of a planet, and they ask me to add a GCP CloudSQL to a Base Job Template.")

Show me how I will add the cloud_sql_instance to a cloud run job @Marvin

To add a

cloud_sql_instance

to a Cloud Run job template in Prefect 3.x, you'll need to configure your Cloud Run service and the Prefect work pool to ensure the CloudSQL instance is accessible. Here’s a simplified walkthrough based on the Prefect GCP Worker Guide: 1. Create a Cloud Run Work Pool: - Use the Prefect CLI to create a work pool of type

cloud-run

. Example command:

shell
     prefect work-pool create <WORK-POOL-NAME> --pool-type cloud-run

2. Edit the Base Job Template: - Navigate to the Prefect UI and find the work pool you just created. - Modify the

job_configuration

section of the base job template to include your CloudSQL instance details. This can be done using the variables defined in the

variables

section which will be used to interpolate the job configuration. - You would typically include environment variables or configuration necessary for your application to connect to the CloudSQL instance. 3. Ensure Proper Permissions: - Ensure the service account used by your Cloud Run service has the necessary permissions to access CloudSQL. This usually involves assigning roles like

roles/cloudsql.client

to the service account. 4. Deploy a Cloud Run Worker: - Use specific Terraform scripts or shell commands to deploy your Cloud Run service. This service should now be configured to use the

cloud_sql_instance

thanks to the data provided in your job template and environment variables. Here's a link to the Prefect GCP Worker Guide for more detailed instructions and examples. With these steps, your flow should be prepared to connect to your GCP CloudSQL instance from a Cloud Run environment. Remember, it's always good to double-check your connectivity and database settings; you wouldn't want any existential queries to go unanswered due to a misconfigured database link.

@Marvin how can I change the port when deploying a worker on gcp cloud run