Source code for tests.system.google.cloud.gcs.example_mssql_to_gcs
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from __future__ import annotations
import os
from datetime import datetime
import pytest
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from providers.tests.system.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
try:
from airflow.providers.google.cloud.transfers.mssql_to_gcs import MSSQLToGCSOperator
except ImportError:
pytest.skip("MSSQL not available", allow_module_level=True)
from airflow.utils.trigger_rule import TriggerRule
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]DAG_ID = "example_mssql_to_gcs"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]SQL_QUERY = "USE airflow SELECT * FROM Country;"
with DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "mssql"],
) as dag:
[docs] create_bucket = GCSCreateBucketOperator(
task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
)
# [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 SETUP
create_bucket
# TEST BODY
>> upload_mssql_to_gcs
# TEST TEARDOWN
>> delete_bucket
)
from tests_common.test_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_common.test_utils.system_tests 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)