DAG: pop-quality-check_v002

schedule: 30 1 * * *

pop-quality-check_v002

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from airflow import DAG
from airflow.utils.dates import days_ago

from template.dag_template import build_dag

dag_id = 'pop-quality-check_v002'

emr_steps = """[
      {
        "step-name": "POPQualityCheck",
        "main-class": "com.viooh.POPQualityCheck",
        "artifact" :"compliance-daily-report",
        "files": "s3://viooh-spark-artifacts-lab-cn/metrics/batch-job-metrics/0.0.0/job.conf,s3://viooh-spark-artifacts-lab-cn/metrics/batch-job-metrics/0.0.0/job.yaml"
      }
]"""

# cluster level parameters (optional)
cluster_args = {
    "master-instance-types": "m5.xlarge,m5.2xlarge",
    "core-instance-types": "m5.xlarge,m5.2xlarge",
    "task-instance-types": "m5.xlarge,m5.2xlarge",
    "core-instance-capacity": 3,
    "task-instance-capacity": 0,
    "emr-version": "emr-6.14.0"
}

# dag parameter
dag_args = {
    'owner': 'data.engineers@viooh.com',
    'start_date': days_ago(1)
}

dag = DAG(
    dag_id,
    schedule_interval="30 1 * * *",  # cron expression
    default_args=dag_args)

build_dag(emr_steps=emr_steps, dag=dag, cluster_args=cluster_args)