Source code for airflow.providers.alibaba.cloud.sensors.analyticdb_spark
#
# 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.
from __future__ import annotations
from collections.abc import Sequence
from functools import cached_property
from typing import TYPE_CHECKING, Any
from airflow.providers.alibaba.cloud.hooks.analyticdb_spark import AnalyticDBSparkHook, AppState
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class AnalyticDBSparkSensor(BaseSensorOperator):
"""
Monitor a AnalyticDB Spark session for termination.
:param app_id: identifier of the monitored app depends on the option that's being modified.
:param adb_spark_conn_id: reference to a pre-defined ADB Spark connection.
:param region: AnalyticDB MySQL region you want to submit spark application.
"""
[docs] template_fields: Sequence[str] = ("app_id",)
def __init__(
self,
*,
app_id: str,
adb_spark_conn_id: str = "adb_spark_default",
region: str | None = None,
**kwargs: Any,
) -> None:
super().__init__(**kwargs)
self.app_id = app_id
self._region = region
self._adb_spark_conn_id = adb_spark_conn_id
@cached_property
[docs] def hook(self) -> AnalyticDBSparkHook:
"""Get valid hook."""
return AnalyticDBSparkHook(adb_spark_conn_id=self._adb_spark_conn_id, region=self._region)
[docs] def poke(self, context: Context) -> bool:
app_id = self.app_id
state = self.hook.get_spark_state(app_id)
return AppState(state) in AnalyticDBSparkHook.TERMINAL_STATES