Can I run the BigQuery notebook on a Pub/Sub message or CRON?

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Hi @sysph ,

You can trigger BigQuery notebooks to run with both Pub/Sub messages and CRON schedules by leveraging Google Cloud Functions. However, Cloud Functions are more ideal for this scenario because they are event-driven and serverless, scaling automatically and offering a cost-effective solution as you pay only for the time you use them.

Here’s an breakdown of both approaches:

Triggering with Pub/Sub:

  1. Create a Pub/Sub Topic: This topic will receive messages that trigger the notebook execution.

  2. Develop a Cloud Function: This function, triggered by messages published to the topic, should contain the logic to execute the BigQuery notebook. Note that if your notebook is in a Jupyter format, you’ll need to convert it into a script or use a tool/API that can programmatically execute Jupyter notebooks.

  3. Deploy the Cloud Function: Bind the function to the Pub/Sub topic as a trigger.

Triggering with CRON:

  1. Utilize Cloud Scheduler: Configure a Cloud Scheduler job with a CRON schedule.

  2. Set the Cloud Scheduler Target to a Pub/Sub Topic: This topic will receive messages when the CRON job triggers.

  3. Follow Steps 2 and 3 from the Pub/Sub Approach: Create and deploy a Cloud Function triggered by the topic to execute the notebook.

Additional Considerations:

  • Notebook Execution: Ensure the Cloud Function’s environment includes all necessary dependencies to run the notebook or script.

  • Security and Permissions: Secure the Pub/Sub topics and ensure the Cloud Function has appropriate IAM roles and permissions for accessing BigQuery and other Google Cloud resources.

  • Logging and Monitoring: Implement logging and monitoring for the Cloud Function to track its execution and troubleshoot issues.

  • Testing and Validation: Thoroughly test the Cloud Function in a non-production environment to ensure it triggers and executes the notebook as expected.

  • Scalability and Performance: Consider the scalability and performance, especially for resource-intensive notebooks or high volumes of Pub/Sub messages.

  • Error Handling: Implement robust error handling in the Cloud Function to manage potential execution failures.

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