DAG: livepop-shuffle-aggregator-modeltransform_v004

schedule: 0 * * * *

livepop-shuffle-aggregator-modeltransform_v004

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from airflow import DAG
from template.utils import hours_ago

from template.dag_template import build_dag

dag_id = 'livepop-shuffle-aggregator-modeltransform_v004'

emr_steps = """[
    {
        "step-name": "LivePOPShuffle",
        "config-json": [
          {"spark.driver.memory":"9g"},
          {"spark.serializer":"org.apache.spark.serializer.KryoSerializer"}
          ],
        "main-class": "com.viooh.pop.data.live.shuffle.RawLivePOPShuffleMain",
        "group-id":"com/viooh/pop",
        "artifact": "pop-shuffle-live",
        "jars": "/usr/lib/spark/external/lib/spark-avro.jar",
        "enable-custom-metrics" : "True"
    },
    {
        "step-name": "PopAggregator",
        "config-json": [
          {"spark.driver.memory":"9g"},
          {"spark.serializer":"org.apache.spark.serializer.KryoSerializer"}
          ],
        "main-class": "com.viooh.pop.aggregator.livepop.LivePOPAggregatorMain",
        "group-id":"com/viooh/pop",
        "artifact": "pop-data-aggregator",
        "enable-custom-metrics" : "True"
    },
    {
        "step-name": "ModelTransform",
        "config-json": [
          {"spark.driver.memory":"9g"}
          ],
        "main-class": "uk.co.viooh.job.modeltransform.ModelTransform",
        "group-id": "uk/co/viooh",
        "artifact": "pandora-model-transform",
        "enable-custom-metrics" : "True"
    }
]"""

# 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,
    "ebs-volume-size": "50",
    "emr-version": "emr-5.35.0",
    "input-validation-step-config": "livepop_shuffle_job_validation_config"
}

# dag parameter
dag_args = {
    'owner': 'data.engineers@viooh.com',
    'start_date': hours_ago(3)
}

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

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