Source code for tests.system.google.cloud.gcs.example_mssql_to_gcs
# 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.from__future__importannotationsimportosfromdatetimeimportdatetimeimportpytestfromairflow.models.dagimportDAGfromairflow.providers.google.cloud.operators.gcsimportGCSCreateBucketOperator,GCSDeleteBucketOperatorfromproviders.tests.system.googleimportDEFAULT_GCP_SYSTEM_TEST_PROJECT_IDtry:fromairflow.providers.google.cloud.transfers.mssql_to_gcsimportMSSQLToGCSOperatorexceptImportError:pytest.skip("MSSQL not available",allow_module_level=True)fromairflow.utils.trigger_ruleimportTriggerRule
# [START howto_operator_mssql_to_gcs]upload_mssql_to_gcs=MSSQLToGCSOperator(task_id="mssql_to_gcs",mssql_conn_id="airflow_mssql",sql=SQL_QUERY,bucket=BUCKET_NAME,filename=FILENAME,export_format="csv",)# [END howto_operator_mssql_to_gcs]delete_bucket=GCSDeleteBucketOperator(task_id="delete_bucket",bucket_name=BUCKET_NAME,trigger_rule=TriggerRule.ALL_DONE)(# TEST SETUPcreate_bucket# TEST BODY>>upload_mssql_to_gcs# TEST TEARDOWN>>delete_bucket)fromtests_common.test_utils.watcherimportwatcher# This test needs watcher in order to properly mark success/failure# when "tearDown" task with trigger rule is part of the DAGlist(dag.tasks)>>watcher()fromtests_common.test_utils.system_testsimportget_test_run# noqa: E402# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)