Source code for tests.system.providers.google.cloud.gcs.example_gcs_to_bigquery

#
# 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.
"""
from __future__ import annotations

import os
from datetime import datetime

from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryDeleteDatasetOperator,
)
from airflow.providers.google.cloud.transfers.gcs_to_bigquery import GCSToBigQueryOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "gcs_to_bigquery_operator"
[docs]DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
[docs]TABLE_NAME = "test"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
with DAG( dag_id=DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "gcs"], ) as dag:
[docs] create_test_dataset = BigQueryCreateEmptyDatasetOperator( task_id="create_airflow_test_dataset", dataset_id=DATASET_NAME, project_id=PROJECT_ID )
# [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", ) # [END howto_operator_gcs_to_bigquery] delete_test_dataset = BigQueryDeleteDatasetOperator( task_id="delete_airflow_test_dataset", dataset_id=DATASET_NAME, delete_contents=True, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_test_dataset # TEST BODY >> load_csv # TEST TEARDOWN >> delete_test_dataset ) 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)
[docs]test_run = get_test_run(dag)

Was this entry helpful?