Source code for tests.system.providers.google.cloud.bigquery.example_bigquery_to_mssql

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"""
Example Airflow DAG for Google BigQuery service.
"""
from __future__ import annotations

import os
from datetime import datetime

import pytest

from airflow import models
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryCreateEmptyTableOperator,
    BigQueryDeleteDatasetOperator,
)

try:
    from airflow.providers.google.cloud.transfers.bigquery_to_mssql import BigQueryToMsSqlOperator
except ImportError:
    pytest.skip("MySQL not available", allow_module_level=True)

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
[docs]DAG_ID = "example_bigquery_to_mssql"
[docs]DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}"
[docs]DATA_EXPORT_BUCKET_NAME = os.environ.get("GCP_BIGQUERY_EXPORT_BUCKET_NAME", "INVALID BUCKET NAME")
[docs]TABLE = "table_42"
[docs]destination_table = "mssql_table_test"
with models.DAG( DAG_ID, schedule="@once", # Override to match your needs start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "bigquery"], ) as dag:
[docs] bigquery_to_mssql = BigQueryToMsSqlOperator( task_id="bigquery_to_mssql", source_project_dataset_table=f"{PROJECT_ID}.{DATASET_NAME}.{TABLE}", mssql_table=destination_table, replace=False,
) create_dataset = BigQueryCreateEmptyDatasetOperator(task_id="create_dataset", dataset_id=DATASET_NAME) create_table = BigQueryCreateEmptyTableOperator( task_id="create_table", dataset_id=DATASET_NAME, table_id=TABLE, schema_fields=[ {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"}, {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"}, ], ) delete_dataset = BigQueryDeleteDatasetOperator( task_id="delete_dataset", dataset_id=DATASET_NAME, delete_contents=True ) ( # TEST SETUP create_dataset >> create_table # TEST BODY >> bigquery_to_mssql # TEST TEARDOWN >> delete_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)

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