airflow glue 源码
airflow glue 代码
文件路径:/airflow/providers/amazon/aws/sensors/glue.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
from typing import TYPE_CHECKING, Sequence
from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.glue import GlueJobHook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
class GlueJobSensor(BaseSensorOperator):
"""
Waits for an AWS Glue Job to reach any of the status below
'FAILED', 'STOPPED', 'SUCCEEDED'
.. seealso::
For more information on how to use this sensor, take a look at the guide:
:ref:`howto/sensor:GlueJobSensor`
:param job_name: The AWS Glue Job unique name
:param run_id: The AWS Glue current running job identifier
:param verbose: If True, more Glue Job Run logs show in the Airflow Task Logs. (default: False)
"""
template_fields: Sequence[str] = ('job_name', 'run_id')
def __init__(
self,
*,
job_name: str,
run_id: str,
verbose: bool = False,
aws_conn_id: str = 'aws_default',
**kwargs,
):
super().__init__(**kwargs)
self.job_name = job_name
self.run_id = run_id
self.verbose = verbose
self.aws_conn_id = aws_conn_id
self.success_states: list[str] = ['SUCCEEDED']
self.errored_states: list[str] = ['FAILED', 'STOPPED', 'TIMEOUT']
self.next_log_token: str | None = None
def poke(self, context: Context):
hook = GlueJobHook(aws_conn_id=self.aws_conn_id)
self.log.info('Poking for job run status :for Glue Job %s and ID %s', self.job_name, self.run_id)
job_state = hook.get_job_state(job_name=self.job_name, run_id=self.run_id)
job_failed = False
try:
if job_state in self.success_states:
self.log.info('Exiting Job %s Run State: %s', self.run_id, job_state)
return True
elif job_state in self.errored_states:
job_failed = True
job_error_message = 'Exiting Job %s Run State: %s', self.run_id, job_state
self.log.info(job_error_message)
raise AirflowException(job_error_message)
else:
return False
finally:
if self.verbose:
self.next_log_token = hook.print_job_logs(
job_name=self.job_name,
run_id=self.run_id,
job_failed=job_failed,
next_token=self.next_log_token,
)
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