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Migrate Google example DAG oracle_to_gcs to new design AIP-47 (#24542)
related: #22447, #22430
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airflow/providers/google/cloud/example_dags/example_oracle_to_gcs.py

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docs/apache-airflow-providers-google/operators/transfer/oracle_to_gcs.rst

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Below is an example of using this operator to upload data to GCS.
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.. exampleinclude:: /../../airflow/providers/google/cloud/example_dags/example_oracle_to_gcs.py
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.. exampleinclude:: /../../tests/system/providers/google/cloud/gcs/example_oracle_to_gcs.py
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:language: python
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:dedent: 0
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:start-after: [START howto_operator_oracle_to_gcs]
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import os
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from datetime import datetime
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from airflow import models
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from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
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from airflow.providers.google.cloud.transfers.oracle_to_gcs import OracleToGCSOperator
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from airflow.utils.trigger_rule import TriggerRule
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ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
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PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
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DAG_ID = "example_oracle_to_gcs"
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BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
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FILENAME = 'test_file'
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SQL_QUERY = "SELECT * from test_table"
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with models.DAG(
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DAG_ID,
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schedule_interval='@once',
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start_date=datetime(2021, 1, 1),
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catchup=False,
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tags=['example', 'oracle'],
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) as dag:
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create_bucket = GCSCreateBucketOperator(
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task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
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)
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# [START howto_operator_oracle_to_gcs]
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upload_oracle_to_gcs = OracleToGCSOperator(
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task_id='oracle_to_gcs', sql=SQL_QUERY, bucket=BUCKET_NAME, filename=FILENAME, export_format='csv'
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)
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# [END howto_operator_oracle_to_gcs]
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delete_bucket = GCSDeleteBucketOperator(
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task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
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)
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(
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# TEST SETUP
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create_bucket
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# TEST BODY
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>> upload_oracle_to_gcs
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# TEST TEARDOWN
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>> delete_bucket
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)
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from tests.system.utils.watcher import watcher
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# This test needs watcher in order to properly mark success/failure
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# when "tearDown" task with trigger rule is part of the DAG
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list(dag.tasks) >> watcher()
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from tests.system.utils import get_test_run # noqa: E402
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# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
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test_run = get_test_run(dag)

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