11:I[80,["231","static/chunks/231-f2f18d7e4b16846f.js","5362","static/chunks/5362-5965a3776db5ac03.js","8704","static/chunks/app/updates/%5Bid%5D/page-38cd4f1673ebad97.js"],"UpdateDetailClient"] 12:T497,# Connect to BigQuery using the Simba ODBC driver import pyodbc from google.cloud import bigquery # Method 1: Using Simba ODBC driver directly ODBC_CONNECTION_STRING = ( "Driver={Simba BigQuery ODBC Driver};" "AuthType=OAuth;" "OAuthPrincipalEmail=;" "OAuthPrivateKeyPath=;" "UseNativeQuery=1;" "LogLevel=0;" "Timeout=3600" ) try: # Establish ODBC connection connection = pyodbc.connect(ODBC_CONNECTION_STRING) cursor = connection.cursor() # Execute query query = "SELECT COUNT(*) as row_count FROM `..`" cursor.execute(query) # Fetch results result = cursor.fetchone() print(f"Row count: {result[0]}") cursor.close() connection.close() except Exception as e: print(f"Connection error: {e}") # Method 2: Using BigQuery Python client (alternative) client = bigquery.Client(project='') query_job = client.query('SELECT COUNT(*) as row_count FROM `..

`') results = query_job.result() for row in results: print(f"Row count: {row.row_count}")13:T6ac,# Terraform configuration for BigQuery with ODBC driver setup # Note: Simba ODBC driver installation is external to Terraform # This example shows BigQuery resources that work with the ODBC driver terraform { required_providers { google = { source = "hashicorp/google" version = "~> 5.0" } } } provider "google" { project = "" region = "us-central1" } # Create BigQuery dataset resource "google_bigquery_dataset" "example" { dataset_id = "" friendly_name = "Example Dataset" location = "US" } # Create BigQuery table resource "google_bigquery_table" "example" { dataset_id = google_bi

An updated version of the Simba ODBC driver for BigQuery is now available.

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