我正在使用以下指南在我的 aks Kubernetes 集群中部署 pyspark：https://towardsdatascience.com/ignite-the-spark-68f3f988f642http://blog.brainlounge.de/memoryleaks/getting-started-with-spark-on-kubernetes/我已經按照上面鏈接中的說明部署了我的驅動程序吊艙：apiVersion: apps/v1kind: Deploymentmetadata:  namespace: spark  name: my-notebook-deployment  labels:    app: my-notebookspec:  replicas: 1  selector:    matchLabels:      app: my-notebook  template:    metadata:      labels:        app: my-notebook    spec:      serviceAccountName: spark      containers:      - name: my-notebook        image: pidocker-docker-registry.default.svc.cluster.local:5000/my-notebook:latest        ports:          - containerPort: 8888        volumeMounts:          - mountPath: /root/data            name: my-notebook-pv        workingDir: /root        resources:          limits:            memory: 2Gi      volumes:        - name: my-notebook-pv          persistentVolumeClaim:            claimName: my-notebook-pvc---apiVersion: v1kind: Servicemetadata:  namespace: spark  name: my-notebook-deploymentspec:  selector:    app: my-notebook  ports:    - protocol: TCP      port: 29413  clusterIP: None然后我可以使用以下代碼創建 Spark 集群：import osfrom pyspark import SparkContext, SparkConffrom pyspark.sql import SparkSession# Create Spark config for our Kubernetes based cluster managersparkConf = SparkConf()sparkConf.setMaster("k8s://https://kubernetes.default.svc.cluster.local:443")sparkConf.setAppName("spark")sparkConf.set("spark.kubernetes.container.image", "<MYIMAGE>")sparkConf.set("spark.kubernetes.namespace", "spark")sparkConf.set("spark.executor.instances", "7")sparkConf.set("spark.executor.cores", "2")sparkConf.set("spark.driver.memory", "512m")sparkConf.set("spark.executor.memory", "512m")sparkConf.set("spark.kubernetes.pyspark.pythonVersion", "3")據我所知，我正在嘗試在客戶端節點中運行我的 Spark 集群，jupyter pod 充當主節點并創建從屬節點，當我在 jupyter pod 內運行代碼時它可以工作，但當其他 pod 嘗試連接它時它可以工作。我該如何解決這個問題？