Source code for airflow.providers.amazon.aws.example_dags.example_batch

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from datetime import datetime
from json import loads
from os import environ

from airflow import DAG
from airflow.providers.amazon.aws.operators.batch import BatchOperator
from airflow.providers.amazon.aws.sensors.batch import BatchSensor

# The inputs below are required for the submit batch example DAG.
[docs]JOB_NAME = environ.get('BATCH_JOB_NAME', 'example_job_name')
[docs]JOB_DEFINITION = environ.get('BATCH_JOB_DEFINITION', 'example_job_definition')
[docs]JOB_QUEUE = environ.get('BATCH_JOB_QUEUE', 'example_job_queue')
[docs]JOB_OVERRIDES = loads(environ.get('BATCH_JOB_OVERRIDES', '{}'))
# An existing (externally triggered) job id is required for the sensor example DAG.
[docs]JOB_ID = environ.get('BATCH_JOB_ID', '00000000-0000-0000-0000-000000000000')
with DAG( dag_id='example_batch_submit_job', schedule_interval=None, start_date=datetime(2021, 1, 1), tags=['example'], catchup=False, ) as submit_dag: # [START howto_operator_batch]
[docs] submit_batch_job = BatchOperator( task_id='submit_batch_job', job_name=JOB_NAME, job_queue=JOB_QUEUE, job_definition=JOB_DEFINITION, overrides=JOB_OVERRIDES,
) # [END howto_operator_batch] with DAG( dag_id='example_batch_wait_for_job_sensor', schedule_interval=None, start_date=datetime(2021, 1, 1), tags=['example'], catchup=False, ) as sensor_dag: # [START howto_sensor_batch]
[docs] wait_for_batch_job = BatchSensor( task_id='wait_for_batch_job', job_id=JOB_ID,
) # [END howto_sensor_batch]

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