Apache Airflow Kubernetes运算符允许您在Kubernetes集群中执行任务和DAG。以下是一些可用参数的示例：

1. in_cluster: 这个参数确定运算符是否运行在Kubernetes集群内部。可以设置为False，以将运算符与集群外部的Kubernetes API交互。

from airflow import DAG
from datetime import datetime, timedelta
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2020, 1, 1),
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
}

dag = DAG(
    'kubernetes_sample',
    default_args=default_args,
    catchup=False,
    schedule_interval='@once',
)

with dag:
    k = KubernetesPodOperator(
        namespace='default',
        image="ubuntu:16.04",
        cmds=["bash", "-cx"],
        arguments=["echo", "10"],
        labels={"foo": "bar"},
        name="airflow-test-pod",
        in_cluster=False, # set to True if running inside a kubernetes cluster
        task_id="task",
        get_logs=True
    )

k

2. config_file: 指向一个Kubernetes配置文件路径的字符串，此文件用于设置Kubernetes API的访问凭据等信息。

from airflow import DAG
from datetime import datetime, timedelta
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2020, 1, 1),
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
}

dag = DAG(
    'kubernetes_sample',
    default_args=default_args,
    catchup=False,
    schedule_interval='@once',
)

with dag:
    k = KubernetesPodOperator(
        namespace='default',
        image="ubuntu:16.04",
        cmds=["bash", "-cx"],
        arguments=["echo", "10"],
        labels={"foo": "bar"},
        name="airflow-test-pod",
        config_file='/path/to/your/kubeconfig', # set to path to your kubeconfig file
        task_id="task",
        get_logs=True
    )

k

3. config: 一个Kubernetes客