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Example Airflow DAG for Google Kubernetes Engine.

import os
from datetime import datetime

from airflow import models
from airflow.operators.bash import BashOperator
from import (

[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "kubernetes_engine"
[docs]GCP_PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
[docs]GCP_LOCATION = "europe-north1-a"
[docs]CLUSTER_NAME = f"cluster-name-test-build-{ENV_ID}"
# [START howto_operator_gcp_gke_create_cluster_definition]
[docs]CLUSTER = {"name": CLUSTER_NAME, "initial_node_count": 1}
# [END howto_operator_gcp_gke_create_cluster_definition] with models.DAG( DAG_ID, schedule_interval='@once', # Override to match your needs start_date=datetime(2021, 1, 1), catchup=False, tags=['example'], ) as dag: # [START howto_operator_gke_create_cluster]
[docs] create_cluster = GKECreateClusterOperator( task_id="create_cluster", project_id=GCP_PROJECT_ID, location=GCP_LOCATION, body=CLUSTER,
) # [END howto_operator_gke_create_cluster] pod_task = GKEStartPodOperator( task_id="pod_task", project_id=GCP_PROJECT_ID, location=GCP_LOCATION, cluster_name=CLUSTER_NAME, namespace="default", image="perl", name="test-pod", in_cluster=False, is_delete_operator_pod=True, ) # [START howto_operator_gke_start_pod_xcom] pod_task_xcom = GKEStartPodOperator( task_id="pod_task_xcom", project_id=GCP_PROJECT_ID, location=GCP_LOCATION, cluster_name=CLUSTER_NAME, do_xcom_push=True, namespace="default", image="alpine", cmds=["sh", "-c", 'mkdir -p /airflow/xcom/;echo \'[1,2,3,4]\' > /airflow/xcom/return.json'], name="test-pod-xcom", in_cluster=False, is_delete_operator_pod=True, ) # [END howto_operator_gke_start_pod_xcom] # [START howto_operator_gke_xcom_result] pod_task_xcom_result = BashOperator( bash_command="echo \"{{ task_instance.xcom_pull('pod_task_xcom')[0] }}\"", task_id="pod_task_xcom_result", ) # [END howto_operator_gke_xcom_result] # [START howto_operator_gke_delete_cluster] delete_cluster = GKEDeleteClusterOperator( task_id="delete_cluster", name=CLUSTER_NAME, project_id=GCP_PROJECT_ID, location=GCP_LOCATION, ) # [END howto_operator_gke_delete_cluster] create_cluster >> pod_task >> delete_cluster create_cluster >> pod_task_xcom >> delete_cluster pod_task_xcom >> pod_task_xcom_result 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/
[docs]test_run = get_test_run(dag)

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