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example_dataplex.py
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
"""
Example Airflow DAG that shows how to use Dataplex.
"""
import datetime
import os
from airflow import models
from airflow.models.baseoperator import chain
from airflow.providers.google.cloud.operators.dataplex import (
DataplexCreateTaskOperator,
DataplexDeleteTaskOperator,
DataplexGetTaskOperator,
DataplexListTasksOperator,
)
from airflow.providers.google.cloud.sensors.dataplex import DataplexTaskStateSensor
PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "INVALID PROJECT ID")
REGION = os.environ.get("GCP_REGION", "INVALID REGION")
LAKE_ID = os.environ.get("GCP_LAKE_ID", "INVALID LAKE ID")
SERVICE_ACC = os.environ.get("GCP_DATAPLEX_SERVICE_ACC", "[email protected]")
BUCKET = os.environ.get("GCP_DATAPLEX_BUCKET", "INVALID BUCKET NAME")
SPARK_FILE_NAME = os.environ.get("SPARK_FILE_NAME", "INVALID FILE NAME")
SPARK_FILE_FULL_PATH = f"gs://{BUCKET}/{SPARK_FILE_NAME}"
DATAPLEX_TASK_ID = "task001"
TRIGGER_SPEC_TYPE = "ON_DEMAND"
# [START howto_dataplex_configuration]
EXAMPLE_TASK_BODY = {
"trigger_spec": {"type_": TRIGGER_SPEC_TYPE},
"execution_spec": {"service_account": SERVICE_ACC},
"spark": {"python_script_file": SPARK_FILE_FULL_PATH},
}
# [END howto_dataplex_configuration]
with models.DAG(
"example_dataplex", start_date=datetime.datetime(2021, 1, 1), schedule_interval="@once", catchup=False
) as dag:
# [START howto_dataplex_create_task_operator]
create_dataplex_task = DataplexCreateTaskOperator(
project_id=PROJECT_ID,
region=REGION,
lake_id=LAKE_ID,
body=EXAMPLE_TASK_BODY,
dataplex_task_id=DATAPLEX_TASK_ID,
task_id="create_dataplex_task",
)
# [END howto_dataplex_create_task_operator]
# [START howto_dataplex_async_create_task_operator]
create_dataplex_task_async = DataplexCreateTaskOperator(
project_id=PROJECT_ID,
region=REGION,
lake_id=LAKE_ID,
body=EXAMPLE_TASK_BODY,
dataplex_task_id=DATAPLEX_TASK_ID,
asynchronous=True,
task_id="create_dataplex_task_async",
)
# [END howto_dataplex_async_create_task_operator]
# [START howto_dataplex_delete_task_operator]
delete_dataplex_task = DataplexDeleteTaskOperator(
project_id=PROJECT_ID,
region=REGION,
lake_id=LAKE_ID,
dataplex_task_id=DATAPLEX_TASK_ID,
task_id="delete_dataplex_task",
)
# [END howto_dataplex_delete_task_operator]
# [START howto_dataplex_list_tasks_operator]
list_dataplex_task = DataplexListTasksOperator(
project_id=PROJECT_ID, region=REGION, lake_id=LAKE_ID, task_id="list_dataplex_task"
)
# [END howto_dataplex_list_tasks_operator]
# [START howto_dataplex_get_task_operator]
get_dataplex_task = DataplexGetTaskOperator(
project_id=PROJECT_ID,
region=REGION,
lake_id=LAKE_ID,
dataplex_task_id=DATAPLEX_TASK_ID,
task_id="get_dataplex_task",
)
# [END howto_dataplex_get_task_operator]
# [START howto_dataplex_task_state_sensor]
dataplex_task_state = DataplexTaskStateSensor(
project_id=PROJECT_ID,
region=REGION,
lake_id=LAKE_ID,
dataplex_task_id=DATAPLEX_TASK_ID,
task_id="dataplex_task_state",
)
# [END howto_dataplex_task_state_sensor]
chain(
create_dataplex_task,
get_dataplex_task,
list_dataplex_task,
delete_dataplex_task,
create_dataplex_task_async,
dataplex_task_state,
)