Source code for airflow.providers.amazon.aws.sensors.athena

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from typing import Any, Optional

from cached_property import cached_property

from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.athena import AWSAthenaHook
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults


[docs]class AthenaSensor(BaseSensorOperator): """ Asks for the state of the Query until it reaches a failure state or success state. If the query fails, the task will fail. :param query_execution_id: query_execution_id to check the state of :type query_execution_id: str :param max_retries: Number of times to poll for query state before returning the current state, defaults to None :type max_retries: int :param aws_conn_id: aws connection to use, defaults to 'aws_default' :type aws_conn_id: str :param sleep_time: Time in seconds to wait between two consecutive call to check query status on athena, defaults to 10 :type sleep_time: int """
[docs] INTERMEDIATE_STATES = ( 'QUEUED', 'RUNNING',
)
[docs] FAILURE_STATES = ( 'FAILED', 'CANCELLED',
)
[docs] SUCCESS_STATES = ('SUCCEEDED',)
[docs] template_fields = ['query_execution_id']
[docs] template_ext = ()
[docs] ui_color = '#66c3ff'
@apply_defaults def __init__( self, *, query_execution_id: str, max_retries: Optional[int] = None, aws_conn_id: str = 'aws_default', sleep_time: int = 10, **kwargs: Any, ) -> None: super().__init__(**kwargs) self.aws_conn_id = aws_conn_id self.query_execution_id = query_execution_id self.sleep_time = sleep_time self.max_retries = max_retries
[docs] def poke(self, context: dict) -> bool: state = self.hook.poll_query_status(self.query_execution_id, self.max_retries) if state in self.FAILURE_STATES: raise AirflowException('Athena sensor failed') if state in self.INTERMEDIATE_STATES: return False return True
@cached_property
[docs] def hook(self) -> AWSAthenaHook: """Create and return an AWSAthenaHook""" return AWSAthenaHook(self.aws_conn_id, self.sleep_time)

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