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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 tests_common.test_utils.version_compat import AIRFLOW_V_3_0_PLUS
if AIRFLOW_V_3_0_PLUS:
from airflow.sdk import task
else:
# Airflow 2 path
from airflow.decorators import task # type: ignore[attr-defined,no-redef]
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,
BigQueryCreateTableOperator,
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
try:
from airflow.sdk import TriggerRule
except ImportError:
# Compatibility for Airflow < 3.1
from airflow.utils.trigger_rule import TriggerRule # type: ignore[no-redef,attr-defined]
from system.google.gcp_api_client_helpers import create_airflow_connection, delete_airflow_connection
try:
from airflow.providers.google.cloud.transfers.bigquery_to_mssql import BigQueryToMsSqlOperator
except ImportError:
pytest.skip("MsSQL not available", allow_module_level=True)
ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "example-project")
DAG_ID = "bigquery_to_mssql"
IS_COMPOSER = bool(os.environ.get("COMPOSER_ENVIRONMENT", ""))
REGION = "us-west2"
ZONE = REGION + "-a"
NETWORK = "default"
CONNECTION_ID = f"connection_{DAG_ID}_{ENV_ID}".replace("-", "_")
CONNECTION_TYPE = "mssql"
BIGQUERY_DATASET_NAME = f"dataset_{DAG_ID}_{ENV_ID}".replace("-", "_")
BIGQUERY_TABLE = "table_42"
INSERT_ROWS_QUERY = (
f"INSERT INTO {BIGQUERY_DATASET_NAME}.{BIGQUERY_TABLE} (emp_name, salary) "
"VALUES ('emp 1', 10000), ('emp 2', 15000);"
)
SCHEMA = [
{"name": "emp_name", "type": "STRING", "mode": "REQUIRED"},
{"name": "salary", "type": "INTEGER", "mode": "NULLABLE"},
]
DB_PORT = 1433
DB_USER_NAME = "sa"
DB_USER_PASSWORD = "5FHq4fSZ85kK6g0n"
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
"""
SQL_TABLE = "test_table"
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
)
"""
GCE_MACHINE_TYPE = "n1-standard-1"
GCE_INSTANCE_NAME = f"instance-{DAG_ID}-{ENV_ID}".replace("_", "-")
GCE_INSTANCE_BODY = {
"name": GCE_INSTANCE_NAME,
"machine_type": f"zones/{ZONE}/machineTypes/{GCE_MACHINE_TYPE}",
"disks": [
{
"boot": True,
"auto_delete": 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",
}
],
}
FIREWALL_RULE_NAME = f"allow-http-{DB_PORT}-{DAG_ID}-{ENV_ID}".replace("_", "-")
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
"""
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;
"""
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:
create_bigquery_dataset = BigQueryCreateEmptyDatasetOperator(
task_id="create_bigquery_dataset", dataset_id=BIGQUERY_DATASET_NAME
)
create_bigquery_table = BigQueryCreateTableOperator(
task_id="create_bigquery_table",
dataset_id=BIGQUERY_DATASET_NAME,
table_id=BIGQUERY_TABLE,
table_resource={
"schema": {"fields": SCHEMA},
},
)
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:
create_airflow_connection(
connection_id=connection_id,
connection_conf={
"description": "Example connection",
"conn_type": CONNECTION_TYPE,
"host": ip_address,
"login": DB_USER_NAME,
"password": DB_USER_PASSWORD,
"port": DB_PORT,
},
is_composer=IS_COMPOSER,
)
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,
)
@task(task_id="delete_connection")
def delete_connection(connection_id: str) -> None:
delete_airflow_connection(connection_id=connection_id, is_composer=IS_COMPOSER)
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,
]
)
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: contributing-docs/testing/system_tests.rst)
test_run = get_test_run(dag)