Source code for tests.system.providers.google.cloud.dataproc_metastore.example_dataproc_metastore

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"""
Example Airflow DAG that show how to use various Dataproc Metastore
operators to manage a service.
"""
from __future__ import annotations

import datetime
import os
from pathlib import Path

from google.protobuf.field_mask_pb2 import FieldMask

from airflow import models
from airflow.providers.google.cloud.operators.dataproc_metastore import (
    DataprocMetastoreCreateMetadataImportOperator,
    DataprocMetastoreCreateServiceOperator,
    DataprocMetastoreDeleteServiceOperator,
    DataprocMetastoreExportMetadataOperator,
    DataprocMetastoreGetServiceOperator,
    DataprocMetastoreUpdateServiceOperator,
)
from airflow.providers.google.cloud.operators.gcs import GCSCreateBucketOperator, GCSDeleteBucketOperator
from airflow.providers.google.cloud.transfers.local_to_gcs import LocalFilesystemToGCSOperator
from airflow.utils.trigger_rule import TriggerRule

[docs]DAG_ID = "dataproc_metastore"
[docs]PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "")
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]SERVICE_ID = f"{DAG_ID}-service-{ENV_ID}".replace("_", "-")
[docs]METADATA_IMPORT_ID = f"{DAG_ID}-metadata-{ENV_ID}".replace("_", "-")
[docs]REGION = "europe-west1"
[docs]BUCKET_NAME = f"bucket_{DAG_ID}_{ENV_ID}"
[docs]TIMEOUT = 2400
[docs]DB_TYPE = "MYSQL"
[docs]DESTINATION_GCS_FOLDER = f"gs://{BUCKET_NAME}/>"
[docs]HIVE_FILE_SRC = str(Path(__file__).parent.parent / "dataproc" / "resources" / "hive.sql")
[docs]HIVE_FILE = "data/hive.sql"
[docs]GCS_URI = f"gs://{BUCKET_NAME}/data/hive.sql"
# Service definition # Docs: https://cloud.google.com/dataproc-metastore/docs/reference/rest/v1/projects.locations.services#Service # [START how_to_cloud_dataproc_metastore_create_service]
[docs]SERVICE = { "name": "test-service",
} # [END how_to_cloud_dataproc_metastore_create_service] # [START how_to_cloud_dataproc_metastore_create_metadata_import]
[docs]METADATA_IMPORT = { "name": "test-metadata-import", "database_dump": { "gcs_uri": GCS_URI, "database_type": DB_TYPE,
}, } # [END how_to_cloud_dataproc_metastore_create_metadata_import] # Update service # [START how_to_cloud_dataproc_metastore_update_service]
[docs]SERVICE_TO_UPDATE = { "labels": { "mylocalmachine": "mylocalmachine", "systemtest": "systemtest",
} }
[docs]UPDATE_MASK = FieldMask(paths=["labels"])
# [END how_to_cloud_dataproc_metastore_update_service] with models.DAG( DAG_ID, start_date=datetime.datetime(2021, 1, 1), schedule="@once", catchup=False, tags=["example", "dataproc", "metastore"], ) as dag:
[docs] create_bucket = GCSCreateBucketOperator( task_id="create_bucket", bucket_name=BUCKET_NAME, project_id=PROJECT_ID
) upload_file = LocalFilesystemToGCSOperator( task_id="upload_file", src=HIVE_FILE_SRC, dst=HIVE_FILE, bucket=BUCKET_NAME, ) # [START how_to_cloud_dataproc_metastore_create_service_operator] create_service = DataprocMetastoreCreateServiceOperator( task_id="create_service", region=REGION, project_id=PROJECT_ID, service=SERVICE, service_id=SERVICE_ID, timeout=TIMEOUT, ) # [END how_to_cloud_dataproc_metastore_create_service_operator] # [START how_to_cloud_dataproc_metastore_get_service_operator] get_service_details = DataprocMetastoreGetServiceOperator( task_id="get_service", region=REGION, project_id=PROJECT_ID, service_id=SERVICE_ID, ) # [END how_to_cloud_dataproc_metastore_get_service_operator] # [START how_to_cloud_dataproc_metastore_update_service_operator] update_service = DataprocMetastoreUpdateServiceOperator( task_id="update_service", project_id=PROJECT_ID, service_id=SERVICE_ID, region=REGION, service=SERVICE_TO_UPDATE, update_mask=UPDATE_MASK, timeout=TIMEOUT, ) # [END how_to_cloud_dataproc_metastore_update_service_operator] # [START how_to_cloud_dataproc_metastore_create_metadata_import_operator] import_metadata = DataprocMetastoreCreateMetadataImportOperator( task_id="create_metadata_import", project_id=PROJECT_ID, region=REGION, service_id=SERVICE_ID, metadata_import=METADATA_IMPORT, metadata_import_id=METADATA_IMPORT_ID, timeout=TIMEOUT, ) # [END how_to_cloud_dataproc_metastore_create_metadata_import_operator] # [START how_to_cloud_dataproc_metastore_export_metadata_operator] export_metadata = DataprocMetastoreExportMetadataOperator( task_id="export_metadata", destination_gcs_folder=DESTINATION_GCS_FOLDER, project_id=PROJECT_ID, region=REGION, service_id=SERVICE_ID, timeout=TIMEOUT, ) # [END how_to_cloud_dataproc_metastore_export_metadata_operator] # [START how_to_cloud_dataproc_metastore_delete_service_operator] delete_service = DataprocMetastoreDeleteServiceOperator( task_id="delete_service", region=REGION, project_id=PROJECT_ID, service_id=SERVICE_ID, timeout=TIMEOUT, ) # [END how_to_cloud_dataproc_metastore_delete_service_operator] delete_service.trigger_rule = TriggerRule.ALL_DONE delete_bucket = GCSDeleteBucketOperator( task_id="delete_bucket", bucket_name=BUCKET_NAME, trigger_rule=TriggerRule.ALL_DONE ) ( create_bucket >> create_service >> get_service_details >> update_service >> import_metadata >> export_metadata >> delete_service >> delete_bucket ) 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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