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"""
Example Airflow DAG that creates, patches and deletes a Cloud SQL instance, and also
creates, patches and deletes a database inside the instance, in Google Cloud.
This DAG relies on the following OS environment variables
https://airflow.apache.org/concepts.html#variables
* GCP_PROJECT_ID - Google Cloud project for the Cloud SQL instance.
* INSTANCE_NAME - Name of the Cloud SQL instance.
* DB_NAME - Name of the database inside a Cloud SQL instance.
"""
from __future__ import annotations
import os
from datetime import datetime
from urllib.parse import urlsplit
from airflow import models
from airflow.models.xcom_arg import XComArg
from airflow.providers.google.cloud.operators.cloud_sql import (
CloudSQLCreateInstanceDatabaseOperator,
CloudSQLCreateInstanceOperator,
CloudSQLDeleteInstanceDatabaseOperator,
CloudSQLDeleteInstanceOperator,
CloudSQLExportInstanceOperator,
)
from airflow.providers.google.cloud.operators.gcs import (
GCSBucketCreateAclEntryOperator,
GCSCreateBucketOperator,
GCSDeleteBucketOperator,
)
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]INSTANCE_NAME = f"{DAG_ID}-{ENV_ID}-instance"
[docs]DB_NAME = f"{DAG_ID}-{ENV_ID}-db"
[docs]BUCKET_NAME = f"{DAG_ID}_{ENV_ID}_bucket"
[docs]FILE_NAME = f"{DAG_ID}_{ENV_ID}_exportImportTestFile"
[docs]FILE_URI = f"gs://{BUCKET_NAME}/{FILE_NAME}"
# Bodies below represent Cloud SQL instance resources:
# https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances
[docs]body = {
"name": INSTANCE_NAME,
"settings": {
"tier": "db-n1-standard-1",
"backupConfiguration": {"binaryLogEnabled": True, "enabled": True, "startTime": "05:00"},
"activationPolicy": "ALWAYS",
"dataDiskSizeGb": 30,
"dataDiskType": "PD_SSD",
"databaseFlags": [],
"ipConfiguration": {
"ipv4Enabled": True,
"requireSsl": True,
},
"locationPreference": {"zone": "europe-west4-a"},
"maintenanceWindow": {"hour": 5, "day": 7, "updateTrack": "canary"},
"pricingPlan": "PER_USE",
"replicationType": "ASYNCHRONOUS",
"storageAutoResize": True,
"storageAutoResizeLimit": 0,
"userLabels": {"my-key": "my-value"},
},
"databaseVersion": "MYSQL_5_7",
"region": "europe-west4",
}
[docs]export_body = {
"exportContext": {
"fileType": "sql",
"uri": FILE_URI,
"sqlExportOptions": {"schemaOnly": False},
"offload": True,
}
}
[docs]db_create_body = {"instance": INSTANCE_NAME, "name": DB_NAME, "project": PROJECT_ID}
with models.DAG(
DAG_ID,
schedule="@once",
start_date=datetime(2021, 1, 1),
catchup=False,
tags=["example", "cloud_sql"],
) as dag:
[docs] create_bucket = GCSCreateBucketOperator(task_id="create_bucket", bucket_name=BUCKET_NAME)
sql_instance_create_task = CloudSQLCreateInstanceOperator(
body=body, instance=INSTANCE_NAME, task_id="sql_instance_create_task"
)
sql_db_create_task = CloudSQLCreateInstanceDatabaseOperator(
body=db_create_body, instance=INSTANCE_NAME, task_id="sql_db_create_task"
)
file_url_split = urlsplit(FILE_URI)
# For export & import to work we need to add the Cloud SQL instance's Service Account
# write access to the destination GCS bucket.
service_account_email = XComArg(sql_instance_create_task, key="service_account_email")
sql_gcp_add_bucket_permission_task = GCSBucketCreateAclEntryOperator(
entity=f"user-{service_account_email}",
role="WRITER",
bucket=file_url_split[1], # netloc (bucket)
task_id="sql_gcp_add_bucket_permission_task",
)
# [START howto_operator_cloudsql_export_async]
sql_export_task = CloudSQLExportInstanceOperator(
body=export_body,
instance=INSTANCE_NAME,
task_id="sql_export_task",
deferrable=True,
)
# [END howto_operator_cloudsql_export_async]
sql_db_delete_task = CloudSQLDeleteInstanceDatabaseOperator(
instance=INSTANCE_NAME, database=DB_NAME, task_id="sql_db_delete_task"
)
sql_db_delete_task.trigger_rule = TriggerRule.ALL_DONE
sql_instance_delete_task = CloudSQLDeleteInstanceOperator(
instance=INSTANCE_NAME, task_id="sql_instance_delete_task"
)
sql_instance_delete_task.trigger_rule = TriggerRule.ALL_DONE
delete_bucket = GCSDeleteBucketOperator(
task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE
)
(
# TEST SETUP
create_bucket
# TEST BODY
>> sql_instance_create_task
>> sql_db_create_task
>> sql_gcp_add_bucket_permission_task
>> sql_export_task
>> sql_db_delete_task
>> sql_instance_delete_task
# TEST TEARDOWN
>> delete_bucket
)
# Task dependencies created via `XComArgs`:
# sql_instance_create_task >> sql_gcp_add_bucket_permission_task
# sql_instance_create_task >> sql_gcp_add_object_permission_task
# ### Everything below this line is not part of example ###
# ### Just for system tests purpose ###
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)
