Source code for tests.system.providers.google.cloud.gcs.example_mysql_to_gcs

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"""
Example DAG using MySQLToGCSOperator.

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 airflow.decorators import task
from airflow.models import Connection
from airflow.models.dag import DAG
from airflow.operators.bash import BashOperator
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.compute import (
    ComputeEngineDeleteInstanceOperator,
    ComputeEngineInsertInstanceOperator,
)
from airflow.providers.google.cloud.operators.gcs import (
    GCSCreateBucketOperator,
    GCSDeleteBucketOperator,
)
from airflow.providers.ssh.operators.ssh import SSHOperator
from airflow.settings import Session
from airflow.utils.trigger_rule import TriggerRule

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

[docs]DAG_ID = "example_mysql_to_gcs"
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "example-project")
[docs]REGION = "europe-west2"
[docs]ZONE = REGION + "-a"
[docs]NETWORK = "default"
[docs]DB_NAME = "testdb"
[docs]DB_PORT = 3306
[docs]DB_USER_NAME = "root"
[docs]DB_USER_PASSWORD = "demo_password"
[docs]SHORT_MACHINE_TYPE_NAME = "n1-standard-1"
[docs]DB_INSTANCE_NAME = f"instance-{DAG_ID}-{ENV_ID}".replace("_", "-")
[docs]GCE_INSTANCE_BODY = { "name": DB_INSTANCE_NAME, "machine_type": f"zones/{ZONE}/machineTypes/{SHORT_MACHINE_TYPE_NAME}", "disks": [ { "boot": True, "device_name": DB_INSTANCE_NAME, "initialize_params": { "disk_size_gb": "10", "disk_type": f"zones/{ZONE}/diskTypes/pd-balanced", "source_image": "projects/debian-cloud/global/images/debian-11-bullseye-v20220621", }, } ], "network_interfaces": [ { "access_configs": [{"name": "External NAT", "network_tier": "PREMIUM"}], "stack_type": "IPV4_ONLY", "subnetwork": f"regions/{REGION}/subnetworks/default", } ], }
[docs]DELETE_PERSISTENT_DISK = 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 {DB_INSTANCE_NAME} --project={PROJECT_ID} --zone={ZONE} --quiet """
[docs]SETUP_MYSQL = f""" sudo apt update && sudo apt install -y docker.io && sudo docker run -d -p {DB_PORT}:{DB_PORT} --name {DB_NAME} \ -e MYSQL_ROOT_PASSWORD={DB_USER_PASSWORD} \ -e MYSQL_DATABASE={DB_NAME} \ mysql:8.1.0 """
[docs]FIREWALL_RULE_NAME = f"allow-http-{DB_PORT}"
[docs]CREATE_FIREWALL_RULE = f""" if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \ gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \ fi; 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 """
[docs]DELETE_FIREWALL_RULE = f""" if [ $AIRFLOW__API__GOOGLE_KEY_PATH ]; then \ gcloud auth activate-service-account --key-file=$AIRFLOW__API__GOOGLE_KEY_PATH; \ fi; gcloud compute firewall-rules delete {FIREWALL_RULE_NAME} --project={PROJECT_ID} --quiet """
[docs]CONNECTION_ID = f"mysql_{DAG_ID}_{ENV_ID}".replace("-", "_")
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]FILE_NAME = "result.json"
[docs]SQL_TABLE = "test_table"
[docs]SQL_CREATE = f"CREATE TABLE IF NOT EXISTS {SQL_TABLE} (col_1 INT, col_2 VARCHAR(8))"
[docs]SQL_INSERT = f"INSERT INTO {SQL_TABLE} (col_1, col_2) VALUES (1, 'one'), (2, 'two')"
[docs]SQL_SELECT = f"SELECT * FROM {SQL_TABLE}"
[docs]log = logging.getLogger(__name__)
with DAG( dag_id=DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), catchup=False, tags=["example", "mysql", "gcs"], ) as dag:
[docs] create_instance = ComputeEngineInsertInstanceOperator( task_id="create_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, ) setup_mysql = SSHOperator( task_id="setup_mysql", ssh_hook=ComputeEngineSSHHook( user="username", instance_name=DB_INSTANCE_NAME, zone=ZONE, project_id=PROJECT_ID, use_oslogin=False, use_iap_tunnel=False, cmd_timeout=180, ), command=SETUP_MYSQL, retries=2, ) @task def get_public_ip() -> str: hook = ComputeEngineHook() address = hook.get_instance_address(resource_id=DB_INSTANCE_NAME, zone=ZONE, project_id=PROJECT_ID) return address get_public_ip_task = get_public_ip() @task def setup_mysql_connection(**kwargs) -> None: public_ip = kwargs["ti"].xcom_pull(task_ids="get_public_ip") connection = Connection( conn_id=CONNECTION_ID, description="Example MySQL connection", conn_type="mysql", host=public_ip, login=DB_USER_NAME, password=DB_USER_PASSWORD, schema=DB_NAME, ) session = Session() if session.query(Connection).filter(Connection.conn_id == CONNECTION_ID).first(): log.warning("Connection %s already exists", CONNECTION_ID) return None session.add(connection) session.commit() setup_mysql_connection_task = setup_mysql_connection() create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, ) create_sql_table = SQLExecuteQueryOperator( task_id="create_sql_table", conn_id=CONNECTION_ID, sql=SQL_CREATE, ) insert_data = SQLExecuteQueryOperator( task_id="insert_data", conn_id=CONNECTION_ID, sql=SQL_INSERT, ) # [START howto_operator_mysql_to_gcs] upload_mysql_to_gcs = MySQLToGCSOperator( task_id="mysql_to_gcs", sql=SQL_SELECT, bucket=BUCKET_NAME, filename=FILE_NAME, export_format="csv" ) # [END howto_operator_mysql_to_gcs] delete_mysql_connection = BashOperator( task_id="delete_mysql_connection", bash_command=f"airflow connections delete {CONNECTION_ID}", trigger_rule=TriggerRule.ALL_DONE, ) delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE, ) delete_instance = ComputeEngineDeleteInstanceOperator( task_id="delete_instance", resource_id=DB_INSTANCE_NAME, zone=ZONE, project_id=PROJECT_ID, trigger_rule=TriggerRule.ALL_DONE, ) delete_firewall_rule = BashOperator( task_id="delete_firewall_rule", bash_command=DELETE_FIREWALL_RULE, trigger_rule=TriggerRule.ALL_DONE, ) delete_persistent_disk = BashOperator( task_id="delete_persistent_disk", bash_command=DELETE_PERSISTENT_DISK, trigger_rule=TriggerRule.ALL_DONE, ) ( # TEST SETUP create_instance >> setup_mysql >> get_public_ip_task >> setup_mysql_connection_task >> create_firewall_rule >> create_sql_table >> insert_data ) ( [insert_data, create_bucket] # TEST BODY >> upload_mysql_to_gcs # TEST TEARDOWN >> [delete_instance, delete_bucket, delete_mysql_connection, delete_firewall_rule] ) delete_instance >> delete_persistent_disk 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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