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102 lines
3.3 KiB
102 lines
3.3 KiB
# |
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# Licensed to the Apache Software Foundation (ASF) under one |
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# or more contributor license agreements. See the NOTICE file |
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# distributed with this work for additional information |
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# regarding copyright ownership. The ASF licenses this file |
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# to you under the Apache License, Version 2.0 (the |
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# "License"); you may not use this file except in compliance |
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# with the License. You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, |
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# software distributed under the License is distributed on an |
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
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# KIND, either express or implied. See the License for the |
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# specific language governing permissions and limitations |
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# under the License. |
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""" |
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Example Airflow DAG for Google Kubernetes Engine. |
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""" |
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import os |
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from airflow import models |
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from airflow.operators.bash import BashOperator |
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from airflow.providers.google.cloud.operators.kubernetes_engine import ( |
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GKECreateClusterOperator, |
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GKEDeleteClusterOperator, |
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GKEStartPodOperator, |
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) |
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from airflow.utils.dates import days_ago |
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GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project") |
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GCP_LOCATION = os.environ.get("GCP_GKE_LOCATION", "europe-north1-a") |
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CLUSTER_NAME = os.environ.get("GCP_GKE_CLUSTER_NAME", "cluster-name") |
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# [START howto_operator_gcp_gke_create_cluster_definition] |
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CLUSTER = {"name": CLUSTER_NAME, "initial_node_count": 1} |
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# [END howto_operator_gcp_gke_create_cluster_definition] |
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with models.DAG( |
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"example_gcp_gke", |
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schedule_interval=None, # Override to match your needs |
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start_date=days_ago(1), |
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tags=["example"], |
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) as dag: |
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# [START howto_operator_gke_create_cluster] |
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create_cluster = GKECreateClusterOperator( |
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task_id="create_cluster", |
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project_id=GCP_PROJECT_ID, |
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location=GCP_LOCATION, |
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body=CLUSTER, |
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) |
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# [END howto_operator_gke_create_cluster] |
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pod_task = GKEStartPodOperator( |
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task_id="pod_task", |
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project_id=GCP_PROJECT_ID, |
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location=GCP_LOCATION, |
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cluster_name=CLUSTER_NAME, |
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namespace="default", |
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image="perl", |
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name="test-pod", |
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) |
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# [START howto_operator_gke_start_pod_xcom] |
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pod_task_xcom = GKEStartPodOperator( |
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task_id="pod_task_xcom", |
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project_id=GCP_PROJECT_ID, |
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location=GCP_LOCATION, |
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cluster_name=CLUSTER_NAME, |
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do_xcom_push=True, |
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namespace="default", |
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image="alpine", |
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cmds=[ |
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"sh", |
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"-c", |
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"mkdir -p /airflow/xcom/;echo '[1,2,3,4]' > /airflow/xcom/return.json", |
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], |
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name="test-pod-xcom", |
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) |
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# [END howto_operator_gke_start_pod_xcom] |
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# [START howto_operator_gke_xcom_result] |
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pod_task_xcom_result = BashOperator( |
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bash_command="echo \"{{ task_instance.xcom_pull('pod_task_xcom')[0] }}\"", |
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task_id="pod_task_xcom_result", |
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) |
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# [END howto_operator_gke_xcom_result] |
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# [START howto_operator_gke_delete_cluster] |
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delete_cluster = GKEDeleteClusterOperator( |
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task_id="delete_cluster", |
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name=CLUSTER_NAME, |
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project_id=GCP_PROJECT_ID, |
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location=GCP_LOCATION, |
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) |
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# [END howto_operator_gke_delete_cluster] |
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create_cluster >> pod_task >> delete_cluster |
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create_cluster >> pod_task_xcom >> delete_cluster |
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pod_task_xcom >> pod_task_xcom_result
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