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redfin_analytics.py
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redfin_analytics.py
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from airflow import DAG
from datetime import timedelta, datetime
from airflow.operators.dummy_operator import DummyOperator
import boto3
from airflow.providers.amazon.aws.operators.emr import (
EmrCreateJobFlowOperator,
EmrAddStepsOperator,
EmrTerminateJobFlowOperator)
from airflow.providers.amazon.aws.sensors.emr import EmrJobFlowSensor, EmrStepSensor
default_args = {
'owner': 'Sundar',
'depends_on_past': False,
'start_date': datetime(2024, 7, 14),
'email': ['[email protected]'],
'email_on_failure': False,
'email_on_retry': False,
'retries': 2,
'retry_delay': timedelta(seconds=10)
}
job_flow_overrides = {
"Name": "redfin_emr_cluster",
"ReleaseLabel": "emr-6.13.0",
"Applications": [{"Name": "Spark"}, {"Name": "JupyterEnterpriseGateway"}],
"LogUri": "s3://sundar28/emr-logs-yml/",
"VisibleToAllUsers":False,
"Instances": {
"InstanceGroups": [
{
"Name": "Master node",
"Market": "ON_DEMAND",
"InstanceRole": "MASTER",
"InstanceType": "t3.xlarge",
"InstanceCount": 1,
},
{
"Name": "Core node",
"Market": "ON_DEMAND", # Spot instances are a "use as available" instances
"InstanceRole": "CORE",
"InstanceType": "t3.xlarge",
"InstanceCount": 1
},
],
"Ec2SubnetId": "subnet-06f6bbf382e211853", # Change
"Ec2KeyName" : 'sundar28',
"KeepJobFlowAliveWhenNoSteps": True,
"TerminationProtected": False, # Setting this as false will allow us to programmatically terminate the cluster
},
"JobFlowRole": "EMR_EC2_DefaultRole",
"ServiceRole": "EMR_DefaultRole",
}
SPARK_STEPS_EXTRACTION = [
{
"Name": "Extract Redfin data",
"ActionOnFailure": "CANCEL_AND_WAIT",
"HadoopJarStep": {
"Jar": "s3://eu-north-1.elasticmapreduce/libs/script-runner/script-runner.jar",
"Args": [
"s3://sundar28/scripts/ingest.sh",
],
},
},
] # Only change the region of the jar
SPARK_STEPS_TRANSFORMATION = [
{
"Name": "Transform Redfin data",
"ActionOnFailure": "CANCEL_AND_WAIT",
"HadoopJarStep": {
"Jar": "command-runner.jar",
"Args": ["spark-submit",
"s3://sundar28/scripts/transform_redfin_data.py",
],
},
},
]
with DAG('redfin_analytics_spark_job_dag',
default_args=default_args,
# schedule_interval = '@weekly',
catchup=False) as dag:
start_pipeline = DummyOperator(task_id="tsk_start_pipeline")
create_emr_cluster = EmrCreateJobFlowOperator(
task_id="tsk_create_emr_cluster",
job_flow_overrides=job_flow_overrides,
)
is_emr_cluster_created = EmrJobFlowSensor(
task_id="tsk_is_emr_cluster_created",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
target_states={"WAITING"}, # Specify the desired state
timeout=3600,
poke_interval=5,
mode='poke',
)
add_extraction_step = EmrAddStepsOperator(
task_id="tsk_add_extraction_step",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
steps=SPARK_STEPS_EXTRACTION,
)
is_extraction_completed = EmrStepSensor(
task_id="tsk_is_extraction_completed",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
step_id="{{ task_instance.xcom_pull(task_ids='tsk_add_extraction_step')[0] }}",
target_states={"COMPLETED"},
timeout=3600,
poke_interval=5,
)
add_transformation_step = EmrAddStepsOperator(
task_id="tsk_add_transformation_step",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
steps=SPARK_STEPS_TRANSFORMATION,
)
is_transformation_completed = EmrStepSensor(
task_id="tsk_is_transformation_completed",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
step_id="{{ task_instance.xcom_pull(task_ids='tsk_add_transformation_step')[0] }}",
target_states={"COMPLETED"},
timeout=3600,
poke_interval=10,
)
remove_cluster = EmrTerminateJobFlowOperator(
task_id="tsk_remove_cluster",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
)
is_emr_cluster_terminated = EmrJobFlowSensor(
task_id="tsk_is_emr_cluster_terminated",
job_flow_id="{{ task_instance.xcom_pull(task_ids='tsk_create_emr_cluster', key='return_value') }}",
target_states={"TERMINATED"}, # Specify the desired state
timeout=3600,
poke_interval=5,
mode='poke',
)
end_pipeline = DummyOperator(task_id="tsk_end_pipeline")
start_pipeline >> create_emr_cluster >> is_emr_cluster_created >> add_extraction_step >> is_extraction_completed >> add_transformation_step >> is_transformation_completed >> remove_cluster >> is_emr_cluster_terminated >> end_pipeline