Source code for airflow.providers.amazon.aws.sensors.athena
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import sys
from typing import TYPE_CHECKING, Any, Optional, Sequence
if TYPE_CHECKING:
from airflow.utils.context import Context
if sys.version_info >= (3, 8):
from functools import cached_property
else:
from cached_property import cached_property
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.athena import AthenaHook
from airflow.sensors.base import BaseSensorOperator
[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] FAILURE_STATES = (
'FAILED',
'CANCELLED',
)
[docs] SUCCESS_STATES = ('SUCCEEDED',)
[docs] template_fields: Sequence[str] = ('query_execution_id',)
[docs] template_ext: Sequence[str] = ()
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: 'Context') -> 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) -> AthenaHook:
"""Create and return an AthenaHook"""
return AthenaHook(self.aws_conn_id, sleep_time=self.sleep_time)