Source code for tests.system.providers.google.cloud.cloud_sql.example_cloud_sql_query_postgres

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"""
Example Airflow DAG that performs query in a Cloud SQL instance for Postgres.
"""

from __future__ import annotations

import logging
import os
from collections import namedtuple
from copy import deepcopy
from datetime import datetime

from googleapiclient import discovery

from airflow import settings
from airflow.decorators import task, task_group
from airflow.models.connection import Connection
from airflow.models.dag import DAG
from airflow.operators.bash import BashOperator
from airflow.providers.google.cloud.operators.cloud_sql import (
    CloudSQLCreateInstanceDatabaseOperator,
    CloudSQLCreateInstanceOperator,
    CloudSQLDeleteInstanceOperator,
    CloudSQLExecuteQueryOperator,
)
from airflow.utils.trigger_rule import TriggerRule

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT")
[docs]DAG_ID = "cloudsql-query-pg"
[docs]REGION = "us-central1"
[docs]CLOUD_SQL_INSTANCE_NAME = f"instance-{ENV_ID}-{DAG_ID}".replace("_", "-")
[docs]CLOUD_SQL_DATABASE_NAME = "test_db"
[docs]CLOUD_SQL_USER = "test_user"
[docs]CLOUD_SQL_PASSWORD = "JoxHlwrPzwch0gz9"
[docs]CLOUD_SQL_PUBLIC_IP = "127.0.0.1"
[docs]CLOUD_SQL_PUBLIC_PORT = 5432
[docs]CLOUD_SQL_DATABASE_CREATE_BODY = { "instance": CLOUD_SQL_INSTANCE_NAME, "name": CLOUD_SQL_DATABASE_NAME, "project": PROJECT_ID, }
[docs]CLOUD_SQL_INSTANCE_CREATION_BODY = { "name": CLOUD_SQL_INSTANCE_NAME, "settings": { "tier": "db-custom-1-3840", "dataDiskSizeGb": 30, "ipConfiguration": { "ipv4Enabled": True, "requireSsl": False, # Consider specifying your network mask # for allowing requests only from the trusted sources, not from anywhere "authorizedNetworks": [ {"value": "0.0.0.0/0"}, ], }, "pricingPlan": "PER_USE", }, # For using a different database version please check the link below # https://cloud.google.com/sql/docs/mysql/admin-api/rest/v1/SqlDatabaseVersion "databaseVersion": "POSTGRES_15", "region": REGION, }
[docs]SQL = [ "CREATE TABLE IF NOT EXISTS TABLE_TEST (I INTEGER)", "CREATE TABLE IF NOT EXISTS TABLE_TEST (I INTEGER)", "INSERT INTO TABLE_TEST VALUES (0)", "CREATE TABLE IF NOT EXISTS TABLE_TEST2 (I INTEGER)", "DROP TABLE TABLE_TEST", "DROP TABLE TABLE_TEST2", ]
# [START howto_operator_cloudsql_query_connections] # Postgres: connect via proxy over TCP
[docs]CONNECTION_PROXY_TCP_KWARGS = { "conn_type": "gcpcloudsql", "login": CLOUD_SQL_USER, "password": CLOUD_SQL_PASSWORD, "host": CLOUD_SQL_PUBLIC_IP, "port": CLOUD_SQL_PUBLIC_PORT, "schema": CLOUD_SQL_DATABASE_NAME, "extra": { "database_type": "postgres", "project_id": PROJECT_ID, "location": REGION, "instance": CLOUD_SQL_INSTANCE_NAME, "use_proxy": "True", "sql_proxy_use_tcp": "True", }, }
# Postgres: connect via proxy over UNIX socket (specific proxy version)
[docs]CONNECTION_PROXY_SOCKET_KWARGS = { "conn_type": "gcpcloudsql", "login": CLOUD_SQL_USER, "password": CLOUD_SQL_PASSWORD, "host": CLOUD_SQL_PUBLIC_IP, "port": CLOUD_SQL_PUBLIC_PORT, "schema": CLOUD_SQL_DATABASE_NAME, "extra": { "database_type": "postgres", "project_id": PROJECT_ID, "location": REGION, "instance": CLOUD_SQL_INSTANCE_NAME, "use_proxy": "True", "sql_proxy_version": "v1.33.9", "sql_proxy_use_tcp": "False", }, }
# Postgres: connect directly via TCP (non-SSL)
[docs]CONNECTION_PUBLIC_TCP_KWARGS = { "conn_type": "gcpcloudsql", "login": CLOUD_SQL_USER, "password": CLOUD_SQL_PASSWORD, "host": CLOUD_SQL_PUBLIC_IP, "port": CLOUD_SQL_PUBLIC_PORT, "schema": CLOUD_SQL_DATABASE_NAME, "extra": { "database_type": "postgres", "project_id": PROJECT_ID, "location": REGION, "instance": CLOUD_SQL_INSTANCE_NAME, "use_proxy": "False", "use_ssl": "False", }, }
# [END howto_operator_cloudsql_query_connections]
[docs]CONNECTION_PROXY_TCP_ID = f"connection_{DAG_ID}_{ENV_ID}_proxy_tcp"
[docs]CONNECTION_PUBLIC_TCP_ID = f"connection_{DAG_ID}_{ENV_ID}_public_tcp"
[docs]CONNECTION_PROXY_SOCKET_ID = f"connection_{DAG_ID}_{ENV_ID}_proxy_socket"
[docs]ConnectionConfig = namedtuple("ConnectionConfig", "id kwargs use_public_ip")
[docs]CONNECTIONS = [ ConnectionConfig(id=CONNECTION_PROXY_TCP_ID, kwargs=CONNECTION_PROXY_TCP_KWARGS, use_public_ip=False), ConnectionConfig( id=CONNECTION_PROXY_SOCKET_ID, kwargs=CONNECTION_PROXY_SOCKET_KWARGS, use_public_ip=False ), ConnectionConfig(id=CONNECTION_PUBLIC_TCP_ID, kwargs=CONNECTION_PUBLIC_TCP_KWARGS, use_public_ip=True), ]
[docs]log = logging.getLogger(__name__)
with DAG( dag_id=DAG_ID, start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "cloudsql", "postgres"], ) as dag:
[docs] create_cloud_sql_instance = CloudSQLCreateInstanceOperator( task_id="create_cloud_sql_instance", project_id=PROJECT_ID, instance=CLOUD_SQL_INSTANCE_NAME, body=CLOUD_SQL_INSTANCE_CREATION_BODY, )
create_database = CloudSQLCreateInstanceDatabaseOperator( task_id="create_database", body=CLOUD_SQL_DATABASE_CREATE_BODY, instance=CLOUD_SQL_INSTANCE_NAME ) @task def create_user() -> None: with discovery.build("sqladmin", "v1beta4") as service: request = service.users().insert( project=PROJECT_ID, instance=CLOUD_SQL_INSTANCE_NAME, body={ "name": CLOUD_SQL_USER, "password": CLOUD_SQL_PASSWORD, }, ) request.execute() @task def get_public_ip() -> str | None: with discovery.build("sqladmin", "v1beta4") as service: request = service.connect().get( project=PROJECT_ID, instance=CLOUD_SQL_INSTANCE_NAME, fields="ipAddresses" ) response = request.execute() for ip_item in response.get("ipAddresses", []): if ip_item["type"] == "PRIMARY": return ip_item["ipAddress"] return None @task def create_connection(connection_id: str, connection_kwargs: dict, use_public_ip: bool, **kwargs) -> None: session = settings.Session() if session.query(Connection).filter(Connection.conn_id == connection_id).first(): log.warning("Connection '%s' already exists", connection_id) return None _connection_kwargs = deepcopy(connection_kwargs) if use_public_ip: public_ip = kwargs["ti"].xcom_pull(task_ids="get_public_ip") _connection_kwargs["host"] = public_ip connection = Connection(conn_id=connection_id, **_connection_kwargs) session.add(connection) session.commit() log.info("Connection created: '%s'", connection_id) @task_group(group_id="create_connections") def create_connections(): for con in CONNECTIONS: create_connection( connection_id=con.id, connection_kwargs=con.kwargs, use_public_ip=con.use_public_ip, ) @task_group(group_id="execute_queries") def execute_queries(): prev_task = None for conn in CONNECTIONS: connection_id = conn.id task_id = "execute_query_" + conn.id # [START howto_operator_cloudsql_query_operators] query_task = CloudSQLExecuteQueryOperator( gcp_cloudsql_conn_id=connection_id, task_id=task_id, sql=SQL, ) # [END howto_operator_cloudsql_query_operators] if prev_task: prev_task >> query_task prev_task = query_task @task_group(group_id="teardown") def teardown(): CloudSQLDeleteInstanceOperator( task_id="delete_cloud_sql_instance", project_id=PROJECT_ID, instance=CLOUD_SQL_INSTANCE_NAME, trigger_rule=TriggerRule.ALL_DONE, ) for con in CONNECTIONS: BashOperator( task_id=f"delete_connection_{con.id}", bash_command=f"airflow connections delete {con.id}", trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_cloud_sql_instance >> [create_database, create_user(), get_public_ip()] >> create_connections() # TEST BODY >> execute_queries() # TEST TEARDOWN >> teardown() ) 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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