Tackling BigQuery Resource Issues in Vertex AI Batch Predictions

As ML engineers, running batch predictions on Vertex AI is a common practice. However, encountering errors related to BigQuery resources can be a roadblock. One typical issue is receiving an error message stating, “Batch prediction job encountered the following errors: BigQuery resource does not exist.” Here’s a quick guide to address this:

Problem: Non-Existent Resources

Batch prediction job test encountered the following errors:

• BigQuery resource does not exist.

1. Input Table/View: Ensure the input table or view specified in your job exists. Typos or non-existent resources will trigger errors.
2. Output Dataset: Confirm the existence of the output dataset. Create it before running the job if it doesn’t exist.
3. Using view instead of table as input: If you provided a view name as input, it can cause the same error, ensure you are providing a table.

Quick Fixes:

• Verify Configuration: Double-check your job configuration for accurate resource references.
• Create Resources Beforehand: Ensure input and output resources exist before initiating the batch prediction job.