example_mssql_to_gcs.py

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import os
from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.transfers.mssql_to_gcs import MSSQLToGCSOperator

GCS_BUCKET = os.environ.get("GCP_GCS_BUCKET", "example-airflow")
FILENAME = 'test_file'

SQL_QUERY = "USE airflow SELECT * FROM Country;"

with models.DAG(
    'example_mssql_to_gcs',
    schedule_interval='@once',
    start_date=datetime(2021, 12, 1),
    catchup=False,
    tags=['example'],
) as dag:
    # [START howto_operator_mssql_to_gcs]
    upload = MSSQLToGCSOperator(
        task_id='mssql_to_gcs',
        mssql_conn_id='airflow_mssql',
        sql=SQL_QUERY,
        bucket=GCS_BUCKET,
        filename=FILENAME,
        export_format='csv',
    )
    # [END howto_operator_mssql_to_gcs]