# # 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 Airflow DAG for Google BigQuery service. """ import os from airflow import models from airflow.providers.google.cloud.operators.bigquery import ( BigQueryCreateEmptyDatasetOperator, BigQueryCreateEmptyTableOperator, BigQueryDeleteDatasetOperator, ) from airflow.providers.google.cloud.transfers.bigquery_to_bigquery import ( BigQueryToBigQueryOperator, ) from airflow.providers.google.cloud.transfers.bigquery_to_gcs import ( BigQueryToGCSOperator, ) from airflow.utils.dates import days_ago PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project") DATASET_NAME = os.environ.get("GCP_BIGQUERY_DATASET_NAME", "test_dataset_transfer") DATA_EXPORT_BUCKET_NAME = os.environ.get( "GCP_BIGQUERY_EXPORT_BUCKET_NAME", "test-bigquery-sample-data" ) ORIGIN = "origin" TARGET = "target" with models.DAG( "example_bigquery_transfer", schedule_interval=None, # Override to match your needs start_date=days_ago(1), tags=["example"], ) as dag: copy_selected_data = BigQueryToBigQueryOperator( task_id="copy_selected_data", source_project_dataset_tables=f"{DATASET_NAME}.{ORIGIN}", destination_project_dataset_table=f"{DATASET_NAME}.{TARGET}", ) bigquery_to_gcs = BigQueryToGCSOperator( task_id="bigquery_to_gcs", source_project_dataset_table=f"{DATASET_NAME}.{ORIGIN}", destination_cloud_storage_uris=[ f"gs://{DATA_EXPORT_BUCKET_NAME}/export-bigquery.csv" ], ) create_dataset = BigQueryCreateEmptyDatasetOperator( task_id="create_dataset", dataset_id=DATASET_NAME ) for table in [ORIGIN, TARGET]: create_table = BigQueryCreateEmptyTableOperator( task_id=f"create_{table}_table", dataset_id=DATASET_NAME, table_id=table, schema_fields=[ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"}, {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}, ], ) create_dataset >> create_table >> [copy_selected_data, bigquery_to_gcs] delete_dataset = BigQueryDeleteDatasetOperator( task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True ) [copy_selected_data, bigquery_to_gcs] >> delete_dataset