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

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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


[docs]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 """
[docs] 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']
[docs] 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

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