Source code for tests.system.providers.amazon.aws.example_redshift_cluster

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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,
    RedshiftDeleteClusterOperator,
    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]ENV_ID = set_env_id()
[docs]DAG_ID = 'example_redshift_cluster'
[docs]REDSHIFT_CLUSTER_IDENTIFIER = getenv("REDSHIFT_CLUSTER_IDENTIFIER", "redshift-cluster-1")

with DAG(
    dag_id=DAG_ID,
    start_date=datetime(2021, 1, 1),
    schedule_interval=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_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_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)