DAG: campaign-flow-job_v002

schedule: 0 */1 * * *

campaign-flow-job_v002

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from airflow import DAG
from template.utils import hours_ago

from template.dag_template import build_dag

dag_id = 'campaign-flow-job_v002'

# emr steps
emr_steps = """[
      {
        "step-name": "CampaignExtractor",
        "config-json": [
          {"spark.driver.memory":"9g"}
        ],
        "main-class": "com.viooh.campaignextractor.CampaignExtractorMain",
        "group-id":"com/viooh/campaignextractor",
        "artifact": "campaign-extractor",
        "jars": "/usr/lib/spark/external/lib/spark-avro.jar"
      }
]"""

# 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,
    "job-type": "batch"
}

# dag parameter
dag_args = {
    'owner': 'data.engineers@viooh.com',
    'depends_on_past': True
}

dag = DAG(
    dag_id,
    schedule_interval="0 */1 * * *",  # cron expression
    start_date=hours_ago(1),
    default_args=dag_args)

build_dag(emr_steps=emr_steps, dag=dag, cluster_args=cluster_args,on_success_trigger_dags=['booking-processing-job_v002','campaign-history-job_v002'])