airflow databricks 源码
airflow databricks 代码
文件路径：/airflow/providers/databricks/triggers/databricks.py
#
# 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
import asyncio
import logging
from typing import Any
from airflow.providers.databricks.hooks.databricks import DatabricksHook
try:
from airflow.triggers.base import BaseTrigger, TriggerEvent
except ImportError:
logging.getLogger(__name__).warning(
'Deferrable Operators only work starting Airflow 2.2',
exc_info=True,
)
BaseTrigger = object # type: ignore
TriggerEvent = None # type: ignore
class DatabricksExecutionTrigger(BaseTrigger):
"""
The trigger handles the logic of async communication with DataBricks API.
:param run_id: id of the run
:param databricks_conn_id: Reference to the :ref:`Databricks connection <howto/connection:databricks>`.
:param polling_period_seconds: Controls the rate of the poll for the result of this run.
By default, the trigger will poll every 30 seconds.
"""
def __init__(self, run_id: int, databricks_conn_id: str, polling_period_seconds: int = 30) -> None:
super().__init__()
self.run_id = run_id
self.databricks_conn_id = databricks_conn_id
self.polling_period_seconds = polling_period_seconds
self.hook = DatabricksHook(databricks_conn_id)
def serialize(self) -> tuple[str, dict[str, Any]]:
return (
'airflow.providers.databricks.triggers.databricks.DatabricksExecutionTrigger',
{
'run_id': self.run_id,
'databricks_conn_id': self.databricks_conn_id,
'polling_period_seconds': self.polling_period_seconds,
},
)
async def run(self):
async with self.hook:
run_page_url = await self.hook.a_get_run_page_url(self.run_id)
while True:
run_state = await self.hook.a_get_run_state(self.run_id)
if run_state.is_terminal:
yield TriggerEvent(
{
'run_id': self.run_id,
'run_state': run_state.to_json(),
'run_page_url': run_page_url,
}
)
break
else:
await asyncio.sleep(self.polling_period_seconds)
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