Amazon EMR과 함께 Amazon MWAA 사용

다음 코드 샘플은 Amazon EMR 및 Amazon Managed Workflows for Apache Airflow를 사용하여 통합을 활성화하는 방법을 보여줍니다.

버전

• 이 페이지의 샘플 코드는 Python 3.7의 Apache Airflow v1과 함께 사용할 수 있습니다.

코드 샘플

    """
    Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
     
    Permission is hereby granted, free of charge, to any person obtaining a copy of
    this software and associated documentation files (the "Software"), to deal in
    the Software without restriction, including without limitation the rights to
    use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
    the Software, and to permit persons to whom the Software is furnished to do so.
     
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
    FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
    COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
    IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
    CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
    """
    from airflow import DAG
     
    from airflow.contrib.operators.emr_add_steps_operator import EmrAddStepsOperator
    from airflow.contrib.operators.emr_create_job_flow_operator import EmrCreateJobFlowOperator
    from airflow.contrib.sensors.emr_step_sensor import EmrStepSensor
     
    from airflow.utils.dates import days_ago
    from datetime import timedelta
    import os
     
    DAG_ID = os.path.basename(__file__).replace(".py", "")
     
    DEFAULT_ARGS = {
        'owner': 'airflow',
        'depends_on_past': False,
        'email': ['[e-mail]'],
        'email_on_failure': False,
        'email_on_retry': False,
    }
     
    SPARK_STEPS = [
        {
            'Name': 'calculate_pi',
            'ActionOnFailure': 'CONTINUE',
            'HadoopJarStep': {
                'Jar': 'command-runner.jar',
                'Args': ['/usr/lib/spark/bin/run-example', 'SparkPi', '10'],
            },
        }
    ]
     
    JOB_FLOW_OVERRIDES = {
        'Name': 'my-demo-cluster',
        'ReleaseLabel': 'emr-5.30.1',
        'Applications': [
            {
                'Name': 'Spark'
            },
        ],    
        'Instances': {
            'InstanceGroups': [
                {
                    'Name': "Master nodes",
                    'Market': 'ON_DEMAND',
                    'InstanceRole': 'MASTER',
                    'InstanceType': 'm5.xlarge',
                    'InstanceCount': 1,
                },
                {
                    'Name': "Slave nodes",
                    'Market': 'ON_DEMAND',
                    'InstanceRole': 'CORE',
                    'InstanceType': 'm5.xlarge',
                    'InstanceCount': 2,
                }
            ],
            'KeepJobFlowAliveWhenNoSteps': False,
            'TerminationProtected': False,
            'Ec2KeyName': 'mykeypair',
        },
        'VisibleToAllUsers': True,
        'JobFlowRole': 'EMR_EC2_DefaultRole',
        'ServiceRole': 'EMR_DefaultRole'
    }
     
    with DAG(
        dag_id=DAG_ID,
        default_args=DEFAULT_ARGS,
        dagrun_timeout=timedelta(hours=2),
        start_date=days_ago(1),
        schedule_interval='@once',
        tags=['emr'],
    ) as dag:
     
        cluster_creator = EmrCreateJobFlowOperator(
            task_id='create_job_flow', 
            job_flow_overrides=JOB_FLOW_OVERRIDES
        )
     
        step_adder = EmrAddStepsOperator(
            task_id='add_steps',
            job_flow_id="{{ task_instance.xcom_pull(task_ids='create_job_flow', key='return_value') }}",
            aws_conn_id='aws_default',
            steps=SPARK_STEPS,
        )
     
        step_checker = EmrStepSensor(
            task_id='watch_step',
            job_flow_id="{{ task_instance.xcom_pull('create_job_flow', key='return_value') }}",
            step_id="{{ task_instance.xcom_pull(task_ids='add_steps', key='return_value')[0] }}",
            aws_conn_id='aws_default',
        )
     
        cluster_creator >> step_adder >> step_checker