Migrate Google example DAG bigquery_transfer to new design AIP-47 (#2…

…4543) related: #22447, #22430
apache · Jun 25, 2022 · abb304c · abb304c
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diff --git a/airflow/providers/google/cloud/example_dags/example_bigquery_transfer.py b/airflow/providers/google/cloud/example_dags/example_bigquery_transfer.py
diff --git a/tests/system/providers/google/cloud/bigquery/example_bigquery_transfer.py b/tests/system/providers/google/cloud/bigquery/example_bigquery_transfer.py
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+#
+# 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 datetime import datetime
+
+from airflow import models
+from airflow.providers.google.cloud.operators.bigquery import (
+ BigQueryCreateEmptyDatasetOperator,
+ BigQueryCreateEmptyTableOperator,
+ BigQueryDeleteDatasetOperator,
+)
+from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
+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.trigger_rule import TriggerRule
+
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
+DAG_ID = "example_bigquery_transfer"
+
+DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
+BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
+
+ORIGIN = "origin"
+TARGET = "target"
+
+with models.DAG(
+ DAG_ID,
+ schedule_interval='@once', # Override to match your needs
+ start_date=datetime(2021, 1, 1),
+ catchup=False,
+ tags=["example", "bigquery"],
+) as dag:
+ create_bucket = GCSCreateBucketOperator(
+ task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
+ )
+
+ create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME)
+
+ create_origin_table = BigQueryCreateEmptyTableOperator(
+ task_id=f"create_{ORIGIN}_table",
+ dataset_id=DATASET_NAME,
+ table_id=ORIGIN,
+ schema_fields=[
+ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
+ {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
+ ],
+ )
+
+ create_target_table = BigQueryCreateEmptyTableOperator(
+ task_id=f"create_{TARGET}_table",
+ dataset_id=DATASET_NAME,
+ table_id=TARGET,
+ schema_fields=[
+ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
+ {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
+ ],
+ )
+
+ 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://{BUCKET_NAME}/export-bigquery.csv"],
+ )
+
+ delete_dataset = BigQueryDeleteDatasetOperator(
+ task_id="delete_dataset",
+ dataset_id=DATASET_NAME,
+ delete_contents=True,
+ trigger_rule=TriggerRule.ALL_DONE,
+ )
+
+ delete_bucket = GCSDeleteBucketOperator(
+ task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
+ )
+
+ (
+ # TEST SETUP
+ create_bucket
+ >> create_dataset
+ >> create_origin_table
+ >> create_target_table
+ # TEST BODY
+ >> copy_selected_data
+ >> bigquery_to_gcs
+ # TEST TEARDOWN
+ >> delete_dataset
+ >> delete_bucket
+ )
+
+ from tests.system.utils.watcher import watcher
+
+ # This test needs watcher in order to properly mark success/failure
+ # when "tearDown" task with trigger rule is part of the DAG
+ list(dag.tasks) >> watcher()
+
+from tests.system.utils import get_test_run # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)