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"""
Airflow System Test DAG that verifies Dataproc Metastore
operators for managing backups.
"""
from __future__ import annotations
import datetime
import os
from airflow.models.dag import DAG
from airflow.providers.google.cloud.operators.dataproc_metastore import (
DataprocMetastoreCreateBackupOperator,
DataprocMetastoreCreateServiceOperator,
DataprocMetastoreDeleteBackupOperator,
DataprocMetastoreDeleteServiceOperator,
DataprocMetastoreListBackupsOperator,
DataprocMetastoreRestoreServiceOperator,
)
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.google import DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]DAG_ID = "dataproc_metastore_backup"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT") or DEFAULT_GCP_SYSTEM_TEST_PROJECT_ID
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
[docs]SERVICE_ID = f"{DAG_ID}-service-{ENV_ID}".replace("_", "-")
[docs]BACKUP_ID = f"{DAG_ID}-backup-{ENV_ID}".replace("_", "-")
# Service definition
[docs]SERVICE = {
"name": "test-service",
}
# Backup definition
# [START how_to_cloud_dataproc_metastore_create_backup]
[docs]BACKUP = {
"name": "test-backup",
}
# [END how_to_cloud_dataproc_metastore_create_backup]
with DAG(
DAG_ID,
start_date=datetime.datetime(2021, 1, 1),
schedule="@once",
catchup=False,
tags=["example", "dataproc", "metastore"],
) as dag:
[docs] create_service = DataprocMetastoreCreateServiceOperator(
task_id="create_service",
region=REGION,
project_id=PROJECT_ID,
service=SERVICE,
service_id=SERVICE_ID,
timeout=TIMEOUT,
)
# [START how_to_cloud_dataproc_metastore_create_backup_operator]
backup_service = DataprocMetastoreCreateBackupOperator(
task_id="create_backup",
project_id=PROJECT_ID,
region=REGION,
service_id=SERVICE_ID,
backup=BACKUP,
backup_id=BACKUP_ID,
timeout=TIMEOUT,
)
# [END how_to_cloud_dataproc_metastore_create_backup_operator]
# [START how_to_cloud_dataproc_metastore_list_backups_operator]
list_backups = DataprocMetastoreListBackupsOperator(
task_id="list_backups",
project_id=PROJECT_ID,
region=REGION,
service_id=SERVICE_ID,
)
# [END how_to_cloud_dataproc_metastore_list_backups_operator]
# [START how_to_cloud_dataproc_metastore_delete_backup_operator]
delete_backup = DataprocMetastoreDeleteBackupOperator(
task_id="delete_backup",
project_id=PROJECT_ID,
region=REGION,
service_id=SERVICE_ID,
backup_id=BACKUP_ID,
timeout=TIMEOUT,
)
# [END how_to_cloud_dataproc_metastore_delete_backup_operator]
delete_backup.trigger_rule = TriggerRule.ALL_DONE
# [START how_to_cloud_dataproc_metastore_restore_service_operator]
restore_service = DataprocMetastoreRestoreServiceOperator(
task_id="restore_metastore",
region=REGION,
project_id=PROJECT_ID,
service_id=SERVICE_ID,
backup_id=BACKUP_ID,
backup_region=REGION,
backup_project_id=PROJECT_ID,
backup_service_id=SERVICE_ID,
timeout=TIMEOUT,
)
# [END how_to_cloud_dataproc_metastore_restore_service_operator]
delete_service = DataprocMetastoreDeleteServiceOperator(
task_id="delete_service",
region=REGION,
project_id=PROJECT_ID,
service_id=SERVICE_ID,
timeout=TIMEOUT,
trigger_rule=TriggerRule.ALL_DONE,
)
(create_service >> backup_service >> list_backups >> restore_service >> delete_backup >> delete_service)
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)