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

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"""
Example Airflow DAG for Google BigQuery service.

This DAG relies on the following OS environment variables

* AIRFLOW__API__GOOGLE_KEY_PATH - Path to service account key file. Note, you can skip this variable if you
  run this DAG in a Composer environment.
"""

from __future__ import annotations

import logging
import os
from datetime import datetime

import pytest
from pendulum import duration

from airflow.decorators import task
from airflow.models import Connection
from airflow.models.dag import DAG
from airflow.providers.common.sql.operators.sql import SQLExecuteQueryOperator
from airflow.providers.google.cloud.hooks.compute import ComputeEngineHook
from airflow.providers.google.cloud.hooks.compute_ssh import ComputeEngineSSHHook
from airflow.providers.google.cloud.operators.bigquery import (
    BigQueryCreateEmptyDatasetOperator,
    BigQueryCreateEmptyTableOperator,
    BigQueryDeleteDatasetOperator,
    BigQueryInsertJobOperator,
)
from airflow.providers.google.cloud.operators.compute import (
    ComputeEngineDeleteInstanceOperator,
    ComputeEngineInsertInstanceOperator,
)
from airflow.providers.ssh.operators.ssh import SSHOperator
from airflow.providers.standard.operators.bash import BashOperator
from airflow.settings import Session
from airflow.utils.trigger_rule import TriggerRule

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


[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")


[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "example-project")


[docs]DAG_ID = "bigquery_to_mssql"




[docs]REGION = "us-west2"


[docs]ZONE = REGION + "-a"


[docs]NETWORK = "default"


[docs]CONNECTION_ID = f"connection_{DAG_ID}_{ENV_ID}".replace("-", "_")


[docs]CONNECTION_TYPE = "mssql"



[docs]BIGQUERY_DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}".replace("-", "_")


[docs]BIGQUERY_TABLE = "table_42"


[docs]INSERT_ROWS_QUERY = (
    f"INSERT INTO {BIGQUERY_DATASET_NAME}.{BIGQUERY_TABLE} (emp_name, salary) "
    "VALUES ('emp 1', 10000), ('emp 2', 15000);"
)



[docs]DB_PORT = 1433


[docs]DB_USER_NAME = "sa"


[docs]DB_USER_PASSWORD = "5FHq4fSZ85kK6g0n"


[docs]SETUP_MSSQL_COMMAND = f"""
sudo apt update &&
sudo apt install -y docker.io &&
sudo docker run -e ACCEPT_EULA=Y -e MSSQL_SA_PASSWORD={DB_USER_PASSWORD} -p {DB_PORT}:{DB_PORT} \
    -d mcr.microsoft.com/mssql/server:2022-latest
"""


[docs]SQL_TABLE = "test_table"


[docs]SQL_CREATE_TABLE = f"""if not exists (select * from sys.tables where sys.tables.name='{SQL_TABLE}' and sys.tables.type='U')
    create table {SQL_TABLE} (
        emp_name VARCHAR(8),
        salary INT
    )
"""



[docs]GCE_MACHINE_TYPE = "n1-standard-1"


[docs]GCE_INSTANCE_NAME = f"instance-{DAG_ID}-{ENV_ID}".replace("_", "-")


[docs]GCE_INSTANCE_BODY = {
    "name": GCE_INSTANCE_NAME,
    "machine_type": f"zones/{ZONE}/machineTypes/{GCE_MACHINE_TYPE}",
    "disks": [
        {
            "boot": True,
            "device_name": GCE_INSTANCE_NAME,
            "initialize_params": {
                "disk_size_gb": "10",
                "disk_type": f"zones/{ZONE}/diskTypes/pd-balanced",
                "source_image": "projects/debian-cloud/global/images/debian-12-bookworm-v20240611",
            },
        }
    ],
    "network_interfaces": [
        {
            "access_configs": [{"name": "External NAT", "network_tier": "PREMIUM"}],
            "stack_type": "IPV4_ONLY",
            "subnetwork": f"regions/{REGION}/subnetworks/default",
        }
    ],
}



[docs]FIREWALL_RULE_NAME = f"allow-http-{DB_PORT}-{DAG_ID}-{ENV_ID}".replace("_", "-")


[docs]CREATE_FIREWALL_RULE_COMMAND = f"""
if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \
 gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \
fi;

if [ -z $(gcloud compute firewall-rules list --filter=name:{FIREWALL_RULE_NAME} --format="value(name)" --project={PROJECT_ID}) ]; then \
    gcloud compute firewall-rules create {FIREWALL_RULE_NAME} \
      --project={PROJECT_ID} \
      --direction=INGRESS \
      --priority=100 \
      --network={NETWORK} \
      --action=ALLOW \
      --rules=tcp:{DB_PORT} \
      --source-ranges=0.0.0.0/0
else
    echo "Firewall rule {FIREWALL_RULE_NAME} already exists."
fi
"""


[docs]DELETE_FIREWALL_RULE_COMMAND = f"""
if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \
 gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \
fi; \
if [ $(gcloud compute firewall-rules list --filter=name:{FIREWALL_RULE_NAME} --format="value(name)" --project={PROJECT_ID}) ]; then \
    gcloud compute firewall-rules delete {FIREWALL_RULE_NAME} --project={PROJECT_ID} --quiet; \
fi;
"""


[docs]DELETE_PERSISTENT_DISK_COMMAND = f"""
if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \
 gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \
fi;

gcloud compute disks delete {GCE_INSTANCE_NAME} --project={PROJECT_ID} --zone={ZONE} --quiet
"""




[docs]log = logging.getLogger(__name__)



with DAG(
    DAG_ID,
    schedule="@once",  # Override to match your needs
    start_date=datetime(2021, 1, 1),
    catchup=False,
    tags=["example", "bigquery"],
) as dag:

[docs]    create_bigquery_dataset = BigQueryCreateEmptyDatasetOperator(
        task_id="create_bigquery_dataset", dataset_id=BIGQUERY_DATASET_NAME
    )


    create_bigquery_table = BigQueryCreateEmptyTableOperator(
        task_id="create_bigquery_table",
        dataset_id=BIGQUERY_DATASET_NAME,
        table_id=BIGQUERY_TABLE,
        schema_fields=[
            {"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
            {"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
        ],
    )

    insert_bigquery_data = BigQueryInsertJobOperator(
        task_id="insert_bigquery_data",
        configuration={
            "query": {
                "query": INSERT_ROWS_QUERY,
                "useLegacySql": False,
                "priority": "BATCH",
            }
        },
    )

    create_gce_instance = ComputeEngineInsertInstanceOperator(
        task_id="create_gce_instance",
        project_id=PROJECT_ID,
        zone=ZONE,
        body=GCE_INSTANCE_BODY,
    )

    create_firewall_rule = BashOperator(
        task_id="create_firewall_rule",
        bash_command=CREATE_FIREWALL_RULE_COMMAND,
    )

    setup_mssql = SSHOperator(
        task_id="setup_mssql",
        ssh_hook=ComputeEngineSSHHook(
            user="username",
            instance_name=GCE_INSTANCE_NAME,
            zone=ZONE,
            project_id=PROJECT_ID,
            use_oslogin=False,
            use_iap_tunnel=False,
            cmd_timeout=180,
        ),
        command=SETUP_MSSQL_COMMAND,
        retries=4,
    )

    @task
    def get_public_ip() -> str:
        hook = ComputeEngineHook()
        address = hook.get_instance_address(resource_id=GCE_INSTANCE_NAME, zone=ZONE, project_id=PROJECT_ID)
        return address

    get_public_ip_task = get_public_ip()

    @task
    def create_connection(connection_id: str, ip_address: str) -> None:
        connection = Connection(
            conn_id=connection_id,
            description="Example connection",
            conn_type=CONNECTION_TYPE,
            host=ip_address,
            login=DB_USER_NAME,
            password=DB_USER_PASSWORD,
            port=DB_PORT,
        )
        session = Session()
        log.info("Removing connection %s if it exists", connection_id)
        query = session.query(Connection).filter(Connection.conn_id == connection_id)
        query.delete()

        session.add(connection)
        session.commit()
        log.info("Connection %s created", connection_id)

    create_connection_task = create_connection(connection_id=CONNECTION_ID, ip_address=get_public_ip_task)

    create_sql_table = SQLExecuteQueryOperator(
        task_id="create_sql_table",
        conn_id=CONNECTION_ID,
        sql=SQL_CREATE_TABLE,
        retries=4,
        retry_delay=duration(seconds=20),
        retry_exponential_backoff=False,
    )

    # [START howto_operator_bigquery_to_mssql]
    bigquery_to_mssql = BigQueryToMsSqlOperator(
        task_id="bigquery_to_mssql",
        mssql_conn_id=CONNECTION_ID,
        source_project_dataset_table=f"{PROJECT_ID}.{BIGQUERY_DATASET_NAME}.{BIGQUERY_TABLE}",
        target_table_name=SQL_TABLE,
        replace=False,
    )
    # [END howto_operator_bigquery_to_mssql]

    delete_bigquery_dataset = BigQueryDeleteDatasetOperator(
        task_id="delete_bigquery_dataset",
        dataset_id=BIGQUERY_DATASET_NAME,
        delete_contents=True,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_firewall_rule = BashOperator(
        task_id="delete_firewall_rule",
        bash_command=DELETE_FIREWALL_RULE_COMMAND,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_gce_instance = ComputeEngineDeleteInstanceOperator(
        task_id="delete_gce_instance",
        resource_id=GCE_INSTANCE_NAME,
        zone=ZONE,
        project_id=PROJECT_ID,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    delete_persistent_disk = BashOperator(
        task_id="delete_persistent_disk",
        bash_command=DELETE_PERSISTENT_DISK_COMMAND,
        trigger_rule=TriggerRule.ALL_DONE,
    )

    @task(task_id="delete_connection")
    def delete_connection(connection_id: str) -> None:
        session = Session()
        log.info("Removing connection %s", connection_id)
        query = session.query(Connection).filter(Connection.conn_id == connection_id)
        query.delete()
        session.commit()

    delete_connection_task = delete_connection(connection_id=CONNECTION_ID)

    (
        # TEST SETUP
        create_gce_instance
        >> create_bigquery_dataset
        >> create_bigquery_table
        >> insert_bigquery_data
        >> get_public_ip_task
        >> create_connection_task
        >> create_firewall_rule
        >> setup_mssql
        >> create_sql_table
        # TEST BODY
        >> bigquery_to_mssql
        # TEST TEARDOWN
        >> [
            delete_bigquery_dataset,
            delete_firewall_rule,
            delete_gce_instance,
            delete_connection_task,
        ]
        >> delete_persistent_disk
    )

    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)

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