Apache Airflow dags w/ backend configuration bundle.
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#
# 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
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
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from airflow.exceptions import AirflowException
from airflow.providers.amazon.aws.hooks.glue import AwsGlueJobHook
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.decorators import apply_defaults
class AwsGlueJobSensor(BaseSensorOperator):
"""
Waits for an AWS Glue Job to reach any of the status below
'FAILED', 'STOPPED', 'SUCCEEDED'
:param job_name: The AWS Glue Job unique name
:type job_name: str
:param run_id: The AWS Glue current running job identifier
:type run_id: str
"""
template_fields = ("job_name", "run_id")
@apply_defaults
def __init__(
self, *, job_name: str, run_id: str, aws_conn_id: str = "aws_default", **kwargs
):
super().__init__(**kwargs)
self.job_name = job_name
self.run_id = run_id
self.aws_conn_id = aws_conn_id
self.success_states = ["SUCCEEDED"]
self.errored_states = ["FAILED", "STOPPED", "TIMEOUT"]
def poke(self, context):
hook = AwsGlueJobHook(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)
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_error_message = (
"Exiting Job " + self.run_id + " Run State: " + job_state
)
raise AirflowException(job_error_message)
else:
return False