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

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from __future__ import annotations

import asyncio
from typing import Any

from airflow.providers.databricks.hooks.databricks import DatabricksHook
from airflow.triggers.base import BaseTrigger, TriggerEvent


[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.
    :param retry_limit: The number of times to retry the connection in case of service outages.
    :param retry_delay: The number of seconds to wait between retries.
    :param retry_args: An optional dictionary with arguments passed to ``tenacity.Retrying`` class.
    :param run_page_url: The run page url.
    """

    def __init__(
        self,
        run_id: int,
        databricks_conn_id: str,
        polling_period_seconds: int = 30,
        retry_limit: int = 3,
        retry_delay: int = 10,
        retry_args: dict[Any, Any] | None = None,
        run_page_url: str | None = None,
        repair_run: bool = False,
    ) -> None:
        super().__init__()
        self.run_id = run_id
        self.databricks_conn_id = databricks_conn_id
        self.polling_period_seconds = polling_period_seconds
        self.retry_limit = retry_limit
        self.retry_delay = retry_delay
        self.retry_args = retry_args
        self.run_page_url = run_page_url
        self.repair_run = repair_run
        self.hook = DatabricksHook(
            databricks_conn_id,
            retry_limit=self.retry_limit,
            retry_delay=self.retry_delay,
            retry_args=retry_args,
        )

[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,
                "retry_limit": self.retry_limit,
                "retry_delay": self.retry_delay,
                "retry_args": self.retry_args,
                "run_page_url": self.run_page_url,
                "repair_run": self.repair_run,
            },
        )

[docs]    async def run(self):
        async with self.hook:
            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_page_url": self.run_page_url,
                            "run_state": run_state.to_json(),
                            "repair_run": self.repair_run,
                        }
                    )
                    return

                self.log.info(
                    "run-id %s in run state %s. sleeping for %s seconds",
                    self.run_id,
                    run_state,
                    self.polling_period_seconds,
                )
                await asyncio.sleep(self.polling_period_seconds)