Vertex AI Pipeline is failing while trying to get data from BigQuery

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I am trying to run a Google Vertex AI pipeline to query from a BigQuery table. In the pipeline, I am using the right project and the service account(which has bigquery.jobs.create access). But I see when it runs, it is accessing another project e1cd7306fb577e88gq-uq. I am not able to figure out where from this project is coming from. I am running the pipeline from Vertex AI user managed notebook

pandas_gbq.exceptions.GenericGBQException: Reason: 403 POST https://bigquery.googleapis.com/bigquery/v2/projects/e1cd7306fb577e88gq-uq/jobs?prettyPrint=false: Access Denied: Project e1cd7306fb577e88gq-uq: User does not have bigquery.jobs.create permission in project e1cd7306fb577e88gq-uq.
google-cloud-vertex-ai google-bigquery
1 Answers

The service agent or service account running your code does have the required permission, but your code is trying to access a resource in the wrong project. Due to the way Vertex AI runs your training code, this problem can occur inadvertently if you don't explicitly specify a project ID or project number in your code.

You can explicitly select the project you want this way:

import os

from google.cloud import bigquery

project_number = os.environ["CLOUD_ML_PROJECT_ID"]

client = bigquery.Client(project=project_number)

You can read more about training code requirements here.

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