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Add Dataplex operators (#20377)
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wojsamjan authored Mar 14, 2022
1 parent c1ab8e2 commit 87c1246
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122 changes: 122 additions & 0 deletions airflow/providers/google/cloud/example_dags/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,
)
247 changes: 247 additions & 0 deletions airflow/providers/google/cloud/hooks/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.

"""This module contains Google Dataplex hook."""
from typing import Any, Dict, Optional, Sequence, Tuple, Union

from google.api_core.operation import Operation
from google.api_core.retry import Retry
from google.cloud.dataplex_v1 import DataplexServiceClient
from google.cloud.dataplex_v1.types import Task
from googleapiclient.discovery import Resource

from airflow.exceptions import AirflowException
from airflow.providers.google.common.hooks.base_google import GoogleBaseHook


class DataplexHook(GoogleBaseHook):
"""
Hook for Google Dataplex.
:param api_version: The version of the api that will be requested for example 'v3'.
:param gcp_conn_id: The connection ID to use when fetching connection info.
:param delegate_to: The account to impersonate, if any. For this to work, the service accountmaking the
request must have domain-wide delegation enabled.
:param impersonation_chain: Optional service account to impersonate using short-term
credentials, or chained list of accounts required to get the access_token
of the last account in the list, which will be impersonated in the request.
If set as a string, the account must grant the originating account
the Service Account Token Creator IAM role.
If set as a sequence, the identities from the list must grant
Service Account Token Creator IAM role to the directly preceding identity, with first
account from the list granting this role to the originating account (templated).
"""

_conn = None # type: Optional[Resource]

def __init__(
self,
api_version: str = "v1",
gcp_conn_id: str = "google_cloud_default",
delegate_to: Optional[str] = None,
impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
) -> None:
super().__init__(
gcp_conn_id=gcp_conn_id,
delegate_to=delegate_to,
impersonation_chain=impersonation_chain,
)
self.api_version = api_version

def get_dataplex_client(self) -> DataplexServiceClient:
"""Returns DataplexServiceClient."""
client_options = {'api_endpoint': 'dataplex.googleapis.com:443'}

return DataplexServiceClient(
credentials=self._get_credentials(), client_info=self.client_info, client_options=client_options
)

def wait_for_operation(self, timeout: Optional[float], operation: Operation):
"""Waits for long-lasting operation to complete."""
try:
return operation.result(timeout=timeout)
except Exception:
error = operation.exception(timeout=timeout)
raise AirflowException(error)

@GoogleBaseHook.fallback_to_default_project_id
def create_task(
self,
project_id: str,
region: str,
lake_id: str,
body: Union[Dict[str, Any], Task],
dataplex_task_id: str,
validate_only: Optional[bool] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> Any:
"""
Creates a task resource within a lake.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param body: Required. The Request body contains an instance of Task.
:param dataplex_task_id: Required. Task identifier.
:param validate_only: Optional. Only validate the request, but do not perform mutations.
The default is false.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
"""
parent = f'projects/{project_id}/locations/{region}/lakes/{lake_id}'

client = self.get_dataplex_client()
result = client.create_task(
request={
'parent': parent,
'task_id': dataplex_task_id,
'task': body,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
return result

@GoogleBaseHook.fallback_to_default_project_id
def delete_task(
self,
project_id: str,
region: str,
lake_id: str,
dataplex_task_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> Any:
"""
Delete the task resource.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param dataplex_task_id: Required. The ID of the Google Cloud task to be deleted.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
"""
name = f'projects/{project_id}/locations/{region}/lakes/{lake_id}/tasks/{dataplex_task_id}'

client = self.get_dataplex_client()
result = client.delete_task(
request={
'name': name,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
return result

@GoogleBaseHook.fallback_to_default_project_id
def list_tasks(
self,
project_id: str,
region: str,
lake_id: str,
page_size: Optional[int] = None,
page_token: Optional[str] = None,
filter: Optional[str] = None,
order_by: Optional[str] = None,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> Any:
"""
Lists tasks under the given lake.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param page_size: Optional. Maximum number of tasks to return. The service may return fewer than this
value. If unspecified, at most 10 tasks will be returned. The maximum value is 1000;
values above 1000 will be coerced to 1000.
:param page_token: Optional. Page token received from a previous ListZones call. Provide this to
retrieve the subsequent page. When paginating, all other parameters provided to ListZones must
match the call that provided the page token.
:param filter: Optional. Filter request.
:param order_by: Optional. Order by fields for the result.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
"""
parent = f'projects/{project_id}/locations/{region}/lakes/{lake_id}'

client = self.get_dataplex_client()
result = client.list_tasks(
request={
'parent': parent,
'page_size': page_size,
'page_token': page_token,
'filter': filter,
'order_by': order_by,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
return result

@GoogleBaseHook.fallback_to_default_project_id
def get_task(
self,
project_id: str,
region: str,
lake_id: str,
dataplex_task_id: str,
retry: Optional[Retry] = None,
timeout: Optional[float] = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> Any:
"""
Get task resource.
:param project_id: Required. The ID of the Google Cloud project that the task belongs to.
:param region: Required. The ID of the Google Cloud region that the task belongs to.
:param lake_id: Required. The ID of the Google Cloud lake that the task belongs to.
:param dataplex_task_id: Required. The ID of the Google Cloud task to be retrieved.
:param retry: A retry object used to retry requests. If `None` is specified, requests
will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request to complete.
Note that if `retry` is specified, the timeout applies to each individual attempt.
:param metadata: Additional metadata that is provided to the method.
"""
name = f'projects/{project_id}/locations/{region}/lakes/{lake_id}/tasks/{dataplex_task_id}'
client = self.get_dataplex_client()
result = client.get_task(
request={
'name': name,
},
retry=retry,
timeout=timeout,
metadata=metadata,
)
return result
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