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airflow_kubernetes_pod_operator_dag_echo_command_example.py
pythonA basic DAG that uses the KubernetesPodOperator
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airflow_kubernetes_pod_operator_dag_echo_command_example.py
1import datetime
2
3from airflow import DAG
4from airflow.providers.cncf.kubernetes.operators.pod import KubernetesPodOperator
5from kubernetes.client import models as k8s
6
7with DAG(
8 dag_id="example_kubernetes_operator",
9 schedule=None,
10 start_date=datetime.datetime(2021, 1, 1),
11 catchup=False,
12 tags=["example"],
13) as dag:
14 # [START howto_operator_kubernetes_pod]
15 k8s_task = KubernetesPodOperator(
16 task_id="dry_run_demo",
17 name="hello-dry-run",
18 image="bash",
19 cmds=["bash", "-cx"],
20 arguments=["echo", "10"],
21 labels={"foo": "bar"},
22 # Specify the namespace to run within
23 namespace="default",
24 # Authentication to a cluster is usually handled by the environment
25 # (e.g., ServiceAccount in K8s or local kubeconfig)
26 get_logs=True,
27 )
28 # [END howto_operator_kubernetes_pod]