Source code for airflow.providers.databricks.triggers.databricks

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import asyncio
import logging
from typing import Any, Dict, Tuple

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,
    )
[docs] BaseTrigger = object # type: ignore
TriggerEvent = None # type: ignore
[docs]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)
[docs] 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,
}, )
[docs] 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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