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from datetime import datetime
from os import getenv
from airflow import DAG
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.operators.redshift_cluster import (
RedshiftCreateClusterOperator,
RedshiftCreateClusterSnapshotOperator,
RedshiftDeleteClusterOperator,
RedshiftDeleteClusterSnapshotOperator,
RedshiftPauseClusterOperator,
RedshiftResumeClusterOperator,
)
from airflow.providers.amazon.aws.sensors.redshift_cluster import RedshiftClusterSensor
from airflow.utils.trigger_rule import TriggerRule
from tests.system.providers.amazon.aws.utils import set_env_id
[docs]DAG_ID = 'example_redshift_cluster'
[docs]REDSHIFT_CLUSTER_IDENTIFIER = getenv("REDSHIFT_CLUSTER_IDENTIFIER", "redshift-cluster-1")
[docs]REDSHIFT_CLUSTER_SNAPSHOT_IDENTIFIER = getenv(
"REDSHIFT_CLUSTER_SNAPSHOT_IDENTIFIER", "redshift-cluster-snapshot-1"
)
with DAG(
dag_id=DAG_ID,
start_date=datetime(2021, 1, 1),
schedule=None,
catchup=False,
tags=['example'],
) as dag:
# [START howto_operator_redshift_cluster]
[docs] task_create_cluster = RedshiftCreateClusterOperator(
task_id="redshift_create_cluster",
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
cluster_type="single-node",
node_type="dc2.large",
master_username="adminuser",
master_user_password="dummypass",
)
# [END howto_operator_redshift_cluster]
# [START howto_sensor_redshift_cluster]
task_wait_cluster_available = RedshiftClusterSensor(
task_id='sensor_redshift_cluster_available',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
target_status='available',
poke_interval=5,
timeout=60 * 15,
)
# [END howto_sensor_redshift_cluster]
# [START howto_operator_redshift_pause_cluster]
task_pause_cluster = RedshiftPauseClusterOperator(
task_id='redshift_pause_cluster',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
)
# [END howto_operator_redshift_pause_cluster]
task_wait_cluster_paused = RedshiftClusterSensor(
task_id='sensor_redshift_cluster_paused',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
target_status='paused',
poke_interval=5,
timeout=60 * 15,
)
# [START howto_operator_redshift_resume_cluster]
task_resume_cluster = RedshiftResumeClusterOperator(
task_id='redshift_resume_cluster',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
)
# [END howto_operator_redshift_resume_cluster]
# [START howto_operator_redshift_create_cluster_snapshot]
task_create_cluster_snapshot = RedshiftCreateClusterSnapshotOperator(
task_id='create_cluster_snapshot',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
snapshot_identifier=REDSHIFT_CLUSTER_SNAPSHOT_IDENTIFIER,
retention_period=1,
wait_for_completion=True,
)
# [END howto_operator_redshift_create_cluster_snapshot]
# [START howto_operator_redshift_delete_cluster_snapshot]
task_delete_cluster_snapshot = RedshiftDeleteClusterSnapshotOperator(
task_id='delete_cluster_snapshot',
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
snapshot_identifier=REDSHIFT_CLUSTER_SNAPSHOT_IDENTIFIER,
)
# [END howto_operator_redshift_delete_cluster_snapshot]
# [START howto_operator_redshift_delete_cluster]
task_delete_cluster = RedshiftDeleteClusterOperator(
task_id="delete_cluster",
cluster_identifier=REDSHIFT_CLUSTER_IDENTIFIER,
trigger_rule=TriggerRule.ALL_DONE,
)
# [END howto_operator_redshift_delete_cluster]
chain(
task_create_cluster,
task_wait_cluster_available,
task_pause_cluster,
task_wait_cluster_paused,
task_resume_cluster,
task_create_cluster_snapshot,
task_delete_cluster_snapshot,
task_delete_cluster,
)
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)
