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from __future__ import annotations
import json
from datetime import datetime
import boto3
from airflow import DAG
from airflow.decorators import task
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.hooks.ssm import SsmHook
from airflow.providers.amazon.aws.operators.emr import (
EmrAddStepsOperator,
EmrCreateJobFlowOperator,
EmrModifyClusterOperator,
EmrTerminateJobFlowOperator,
)
from airflow.providers.amazon.aws.operators.s3 import S3CreateBucketOperator, S3DeleteBucketOperator
from airflow.providers.amazon.aws.sensors.emr import EmrJobFlowSensor, EmrStepSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import ENV_ID_KEY, SystemTestContextBuilder
[docs]CONFIG_NAME = "EMR Runtime Role Security Configuration"
[docs]EXECUTION_ROLE_ARN_KEY = "EXECUTION_ROLE_ARN"
[docs]SECURITY_CONFIGURATION = {
"AuthorizationConfiguration": {
"IAMConfiguration": {
"EnableApplicationScopedIAMRole": True,
},
},
# Use IMDSv2 for greater security, see the following doc for more details:
# https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-create-security-configuration.html
"InstanceMetadataServiceConfiguration": {
"MinimumInstanceMetadataServiceVersion": 2,
"HttpPutResponseHopLimit": 2,
},
}
# [START howto_operator_emr_steps_config]
[docs]SPARK_STEPS = [
{
"Name": "calculate_pi",
"ActionOnFailure": "CONTINUE",
"HadoopJarStep": {
"Jar": "command-runner.jar",
"Args": ["/usr/lib/spark/bin/run-example", "SparkPi", "10"],
},
}
]
[docs]JOB_FLOW_OVERRIDES = {
"Name": "PiCalc",
"ReleaseLabel": "emr-6.7.0",
"Applications": [{"Name": "Spark"}],
"Instances": {
"InstanceGroups": [
{
"Name": "Primary node",
"Market": "ON_DEMAND",
"InstanceRole": "MASTER",
"InstanceType": "m5.xlarge",
"InstanceCount": 1,
},
],
"KeepJobFlowAliveWhenNoSteps": False,
"TerminationProtected": False,
},
"Steps": SPARK_STEPS,
"JobFlowRole": "EMR_EC2_DefaultRole",
"ServiceRole": "EMR_DefaultRole",
}
# [END howto_operator_emr_steps_config]
@task
[docs]def get_ami_id():
"""
Returns an AL2 AMI compatible with EMR
"""
return SsmHook(aws_conn_id=None).get_parameter_value(
"/aws/service/ami-amazon-linux-latest/amzn2-ami-hvm-x86_64-ebs"
)
@task
)
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_security_config(config_name: str):
boto3.client("emr").delete_security_configuration(
Name=config_name,
)
@task
[docs]def get_step_id(step_ids: list):
return step_ids[0]
[docs]sys_test_context_task = SystemTestContextBuilder().add_variable(EXECUTION_ROLE_ARN_KEY).build()
with DAG(
dag_id=DAG_ID,
start_date=datetime(2021, 1, 1),
schedule="@once",
catchup=False,
tags=["example"],
) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context[ENV_ID_KEY]
config_name = f"{CONFIG_NAME}-{env_id}"
execution_role_arn = test_context[EXECUTION_ROLE_ARN_KEY]
s3_bucket = f"{env_id}-emr-bucket"
JOB_FLOW_OVERRIDES["LogUri"] = f"s3://{s3_bucket}/"
JOB_FLOW_OVERRIDES["SecurityConfiguration"] = config_name
JOB_FLOW_OVERRIDES["Instances"]["InstanceGroups"][0]["CustomAmiId"] = get_ami_id()
create_s3_bucket = S3CreateBucketOperator(task_id="create_s3_bucket", bucket_name=s3_bucket)
create_security_configuration = configure_security_config(config_name)
# [START howto_operator_emr_create_job_flow]
create_job_flow = EmrCreateJobFlowOperator(
task_id="create_job_flow",
job_flow_overrides=JOB_FLOW_OVERRIDES,
)
# [END howto_operator_emr_create_job_flow]
# [START howto_operator_emr_modify_cluster]
modify_cluster = EmrModifyClusterOperator(
task_id="modify_cluster", cluster_id=create_job_flow.output, step_concurrency_level=1
)
# [END howto_operator_emr_modify_cluster]
# [START howto_operator_emr_add_steps]
add_steps = EmrAddStepsOperator(
task_id="add_steps",
job_flow_id=create_job_flow.output,
steps=SPARK_STEPS,
wait_for_completion=True,
execution_role_arn=execution_role_arn,
)
# [END howto_operator_emr_add_steps]
# [START howto_sensor_emr_step]
wait_for_step = EmrStepSensor(
task_id="wait_for_step",
job_flow_id=create_job_flow.output,
step_id=get_step_id(add_steps.output),
)
# [END howto_sensor_emr_step]
# [START howto_operator_emr_terminate_job_flow]
remove_cluster = EmrTerminateJobFlowOperator(
task_id="remove_cluster",
job_flow_id=create_job_flow.output,
)
# [END howto_operator_emr_terminate_job_flow]
remove_cluster.trigger_rule = TriggerRule.ALL_DONE
# [START howto_sensor_emr_job_flow]
check_job_flow = EmrJobFlowSensor(task_id="check_job_flow", job_flow_id=create_job_flow.output)
# [END howto_sensor_emr_job_flow]
check_job_flow.poke_interval = 10
delete_security_configuration = delete_security_config(config_name)
delete_s3_bucket = S3DeleteBucketOperator(
task_id="delete_s3_bucket",
bucket_name=s3_bucket,
force_delete=True,
trigger_rule=TriggerRule.ALL_DONE,
)
chain(
# TEST SETUP
test_context,
create_s3_bucket,
create_security_configuration,
# TEST BODY
create_job_flow,
modify_cluster,
add_steps,
wait_for_step,
# TEST TEARDOWN
remove_cluster,
check_job_flow,
delete_security_configuration,
delete_s3_bucket,
)
from tests.system.utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "tearDown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)
