我正在试验新的Flink Kubernetes操作符，我已经能够做几乎所有我需要的事情，除了一件事：从S3文件系统中获取JAR文件。

背景

我有一个Flink应用程序运行在AWS的EKS集群中，所有的信息都保存在S3存储桶中，比如保存点、检查点、高可用性和JAR文件都存储在那里。
我已经能够将保存点、检查点和高可用性信息保存在存储桶中，但是当尝试从同一存储桶中获取JAR文件时，我得到了错误：Could not find a file system implementation for scheme 's3'. The scheme is directly supported by Flink through the following plugins: flink-s3-fs-hadoop, flink-s3-fs-presto.
我可以进入this thread，但是我不能让资源获取器正常工作，而且解决方案也不理想，我正在寻找一个更直接的方法。

部署文件

下面是我在群集中部署的文件：
deployment.yml

apiVersion: flink.apache.org/v1beta1
kind: FlinkDeployment
metadata:
  name: flink-deployment
spec:
  podTemplate:
    apiVersion: v1
    kind: Pod
    metadata:
      name: pod-template
    spec:
      containers:
        - name: flink-main-container
          env:
            - name: ENABLE_BUILT_IN_PLUGINS
              value: flink-s3-fs-presto-1.15.3.jar;flink-s3-fs-hadoop-1.15.3.jar
          volumeMounts:
            - mountPath: /flink-data
              name: flink-volume
      volumes:
        - name: flink-volume
          hostPath:
            path: /tmp
            type: Directory
  image: flink:1.15
  flinkVersion: v1_15
  flinkConfiguration:
    state.checkpoints.dir: s3://kubernetes-operator/checkpoints
    state.savepoints.dir: s3://kubernetes-operator/savepoints
    high-availability: org.apache.flink.kubernetes.highavailability.KubernetesHaServicesFactory
    high-availability.storageDir: s3://kubernetes-operator/ha
  jobManager:
    resource:
      memory: "2048m"
      cpu: 1
  taskManager:
    resource:
      memory: "2048m"
      cpu: 1
  serviceAccount: flink

session-job.yml

apiVersion: flink.apache.org/v1beta1
kind: FlinkSessionJob
metadata:
  name: flink-session-job
spec:
  deploymentName: flink-deployment
  job:
    jarURI: s3://kubernetes-operator/savepoints/flink.jar
    parallelism: 3
    upgradeMode: savepoint
    savepointTriggerNonce: 0

我使用的Flink Kubernetes运算符版本是1.3.1
有什么我错过了或者做错了的吗？