new_contents: # -*- coding: utf-8 -*-
  #
  # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  
  import airflow
  try:
      from airflow.contrib.operators import gcs_to_bq
  except ImportError:
      gcs_to_bq = None
  from airflow import models
  from airflow.operators import bash_operator
  
  
  if gcs_to_bq is not None:
      args = {
          'owner': 'airflow',
          'start_date': airflow.utils.dates.days_ago(2)
      }
  
      dag = models.DAG(
          dag_id='example_gcs_to_bq_operator', default_args=args,
          schedule_interval=None)
  
      create_test_dataset = bash_operator.BashOperator(
          task_id='create_airflow_test_dataset',
          bash_command='bq mk airflow_test',
          dag=dag)
  
      # [START howto_operator_gcs_to_bq]
      load_csv = gcs_to_bq.GoogleCloudStorageToBigQueryOperator(
          task_id='gcs_to_bq_example',
          bucket='cloud-samples-data',
          source_objects=['bigquery/us-states/us-states.csv'],
          destination_project_dataset_table='airflow_test.gcs_to_bq_table',
          schema_fields=[
              {'name': 'name', 'type': 'STRING', 'mode': 'NULLABLE'},
              {'name': 'post_abbr', 'type': 'STRING', 'mode': 'NULLABLE'},
          ],
          write_disposition='WRITE_TRUNCATE',
          dag=dag)
      # [END howto_operator_gcs_to_bq]
  
      delete_test_dataset = bash_operator.BashOperator(
          task_id='delete_airflow_test_dataset',
          bash_command='bq rm -rf airflow_test',
          dag=dag)
  
      create_test_dataset >> load_csv >> delete_test_dataset
  
subject: Add example DAG for GoogleCloudStorageToBigQueryOperator (#3763)