gcs_to_bigquery

Example DAG using GCSToBigQueryOperator.

Big Data & AnalyticsStorage


Providers:

Run this DAG

1. Install Astronomer CLISkip if you already have the CLI

2. Initate the project:

3. Copy and paste the code below into a file in the

dags
directory.

4. Add the following to your requirements.txt file:

5. Run the DAG:

#
# 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.
"""
Example DAG using GCSToBigQueryOperator.
"""
import os
from airflow import models
from airflow.providers.google.cloud.operators.bigquery import (
BigQueryCreateEmptyDatasetOperator,
BigQueryDeleteDatasetOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_bigquery import GCSToBigQueryOperator
from airflow.utils.dates import days_ago
DATASET_NAME = os.environ.get("GCP_DATASET_NAME", 'airflow_test')
TABLE_NAME = os.environ.get("GCP_TABLE_NAME", 'gcs_to_bq_table')
dag = models.DAG(
dag_id='example_gcs_to_bigquery_operator',
start_date=days_ago(2),
schedule_interval=None,
tags=['example'],
)
create_test_dataset = BigQueryCreateEmptyDatasetOperator(
task_id='create_airflow_test_dataset', dataset_id=DATASET_NAME, dag=dag
)
# [START howto_operator_gcs_to_bigquery]
load_csv = GCSToBigQueryOperator(
task_id='gcs_to_bigquery_example',
bucket='cloud-samples-data',
source_objects=['bigquery/us-states/us-states.csv'],
destination_project_dataset_table=f"{DATASET_NAME}.{TABLE_NAME}",
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_bigquery]
delete_test_dataset = BigQueryDeleteDatasetOperator(
task_id='delete_airflow_test_dataset', dataset_id=DATASET_NAME, delete_contents=True, dag=dag
)
create_test_dataset >> load_csv >> delete_test_dataset