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simple-cloud-functions-to-bigquery TEST2 CI/CD !!!

Cloud Functions streaming insert to BigQuery (with Cloud Pub/Sub trigger). In this example, the function will make a REST API call to get a data and insert to BigQuery.

Steps to run

  1. Create BigQuery table with a proper schema (using Google Cloud Console).
  2. Create a Pub/Sub topic. When deploy Cloud Functions via Console (web UI), there is a button to create a topic.
  3. Deploy Cloud Function. (alternatively: use make deploy as a prompt deploy command)
  4. Set Cloud Scheduler.

Deploy

To use command line make deploy, Google Cloud SDK must be installed locally. (https://cloud.google.com/sdk/docs/install)

The command will prompt for these information:

Enter function name: # The name of entrypoint function
Enter project id   : # Project id, noted that it can be different from project name
Enter env file     : # A yaml file that contains environment variables (optional)
Enter cloud region : # A zone which the function will be deployed 
Enter runtime      : # Runtime, for python, use `python37` or `python38`
Enter topic name   : # A name of Cloud Pub/Sub topic for deploying pub/sub trigger function

Workflow

We added GitHub Action workflow to auto-deploy this function when there is a merge to master branch.

Please follow these steps to setup the workflow:

  1. In GCP IAM, Create new service account with Cloud Functions Admin permission
  2. Generate new key. Download secret key as JSON.
  3. In GCP IAM, add @.iam.gserviceaccount.com with role Service Account User as a member on the root service account <Project_name>@appspot.gserviceaccount.com
  4. Create new secret GCP_PROJ_NAME with value = project ID e.g. root-sanctuary-01234
  5. Create new secret GCP_CREDENTIALS with value = base64-encoded JSON value from the content of the file in 2.
  6. Create cloud pubsub topic
  7. Test run this workflow. It should create new Cloud Function in the project.

Reference