DAG: booking-by-hour-model-transform_v002

schedule: 30 1 * * *

booking-by-hour-model-transform_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 = 'booking-by-hour-model-transform_v002'

emr_steps = """[
    {
       "step-name": "BookingByHour-ModelTransform",
        "config-json": [
          {"spark.driver.memory":"20g"}
        ],
        "main-class": "com.viooh.transform.BookingModelTransform",
        "group-id": "uk/co/viooh",
        "artifact": "pandora-model-transform"
    }
]"""

# cluster level parameters (optional)
cluster_args = {
    "master-instance-types": "m5.xlarge,m5.4xlarge",
    "core-instance-types": "m5.2xlarge,m5.4xlarge",
    "task-instance-types": "m5.2xlarge,m5.4xlarge",
    "core-instance-capacity": 5,
    "task-instance-capacity": 0,
    "ebs-volume-size": "50"
}

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

dag = DAG(
    dag_id,
    schedule_interval="30 1 * * *",  # cron expression - every day 1:30 AM
    default_args=dag_args)

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