当flink在kubernetes作为pods运行时，有人知道如何使用flink运行beam python管道吗？
我已经成功地使用PortableRunner和指向docker容器中运行的本地flink服务器的作业服务运行了BeamPython管道。
我能够在我的flink容器中安装docker套接字，并将flink作为根进程运行，这样类dockerenvironmentfactory就可以创建python线束容器。
不幸的是，当flink在kubernetes中运行时，我不能使用相同的解决方案。此外，我不想使用pods中的docker命令创建python线束容器。
BeanRunner似乎自动选择docker来执行python管道。但是，我注意到有一个名为externalenvironmentfactory的实现，但我不知道如何使用它。
有没有办法部署一个side容器并使用不同的工厂来运行python线束过程？正确的方法是什么？
这是dockerenvironmentfactory的修补程序：

diff -pr beam-release-2.15.0/runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/environment/DockerEnvironmentFactory.java beam-release-2.15.0-1/runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/environment/DockerEnvironmentFactory.java

***beam-release-2.15.0/runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/environment/DockerEnvironmentFactory.java   2019-08-14 22:33:41.000000000 +0100

--- beam-release-2.15.0-1/runners/java-fn-execution/src/main/java/org/apache/beam/runners/fnexecution/environment/DockerEnvironmentFactory.java 2019-09-09 16:02:07.000000000 +0100

***************package org.apache.beam.runners.fnexecut
***19,24****

--- 19,26 ----

  import static org.apache.beam.vendor.guava.v26_0_jre.com.google.common.base.MoreObjects.firstNonNull;

+ import java.net.InetAddress;
+ import java.net.UnknownHostException;
  import java.nio.file.Files;
  import java.nio.file.Paths;
  import java.time.Duration;

***************public class DockerEnvironmentFactory im
***127,133****

          ImmutableList.<String>builder()
              .addAll(gcsCredentialArgs())
              // NOTE: Host networking does not work on Mac, but the command line flag is accepted.
!             .add("--network=host")
              // We need to pass on the information about Docker-on-Mac environment (due to missing
              // host networking on Mac)
              .add("--env=DOCKER_MAC_CONTAINER=" + System.getenv("DOCKER_MAC_CONTAINER"));
--- 129,135 ----
          ImmutableList.<String>builder()
              .addAll(gcsCredentialArgs())
              // NOTE: Host networking does not work on Mac, but the command line flag is accepted.
!             .add("--network=flink")
              // We need to pass on the information about Docker-on-Mac environment (due to missing
              // host networking on Mac)
              .add("--env=DOCKER_MAC_CONTAINER=" + System.getenv("DOCKER_MAC_CONTAINER"));

***************public class DockerEnvironmentFactory im
***222,228****

      private static ServerFactory getServerFactory() {
        ServerFactory.UrlFactory dockerUrlFactory =
!           (host, port) -> HostAndPort.fromParts(DOCKER_FOR_MAC_HOST, port).toString();
        if (RUNNING_INSIDE_DOCKER_ON_MAC) {
          // If we're already running in a container, we need to use a fixed port range due to
          // non-existing host networking in Docker-for-Mac. The port range needs to be published
--- 224,230 ----

      private static ServerFactory getServerFactory() {
        ServerFactory.UrlFactory dockerUrlFactory =
!               (host, port) -> HostAndPort.fromParts(getCanonicalHostName(), port).toString();
        if (RUNNING_INSIDE_DOCKER_ON_MAC) {
          // If we're already running in a container, we need to use a fixed port range due to
          // non-existing host networking in Docker-for-Mac. The port range needs to be published

***************public class DockerEnvironmentFactory im
***237,242****

--- 239,252 ----
      }
    }

+   private static String getCanonicalHostName() throws RuntimeException {
+     try {
+       return InetAddress.getLocalHost().getCanonicalHostName();
+     } catch (UnknownHostException e) {
+       throw new RuntimeException(e);
+     }
+   }
+
    /**Provider for DockerEnvironmentFactory. */
    public static class Provider implements EnvironmentFactory.Provider {
      private final boolean retainDockerContainer;

***************public class DockerEnvironmentFactory im
***269,275****

      public ServerFactory getServerFactory() {
        switch (getPlatform()) {
          case LINUX:
!           return ServerFactory.createDefault();
          case MAC:
            return DockerOnMac.getServerFactory();
          default:
--- 279,286 ----
      public ServerFactory getServerFactory() {
        switch (getPlatform()) {
          case LINUX:
!           return DockerOnMac.getServerFactory();
! //          return ServerFactory.createDefault();
          case MAC:
            return DockerOnMac.getServerFactory();
          default:

这是我用来运行flink的docker compose文件：

version: '3.4'
services:
  jobmanager:
    image: tenx/flink:1.8.1
    command: 'jobmanager'
    environment:
      JOB_MANAGER_RPC_ADDRESS: 'jobmanager'
      DOCKER_MAC_CONTAINER: 1
      FLINK_JM_HEAP: 128
    volumes:
      - jobmanager-data:/data
      - /var/run/docker.sock:/var/run/docker.sock
    ports:
      - target: 8081
        published: 8081
        protocol: tcp
        mode: ingress
    networks:
      - flink
  taskmanager:
    image: tenx/flink:1.8.1
    command: 'taskmanager'
    environment:
      JOB_MANAGER_RPC_ADDRESS: 'jobmanager'
      DOCKER_MAC_CONTAINER: 1
      FLINK_TM_HEAP: 1024
      TASK_MANAGER_NUMBER_OF_TASK_SLOTS: 2
    networks:
      - flink
    volumes:
      - taskmanager-data:/data
      - /var/run/docker.sock:/var/run/docker.sock
      - /var/folders:/var/folders
volumes:
    jobmanager-data:
    taskmanager-data:
networks:
  flink:
    external: true

这是我的python管道：

import apache_beam as beam
import logging

class LogElements(beam.PTransform):

    class _LoggingFn(beam.DoFn):

        def __init__(self, prefix=''):
            super(LogElements._LoggingFn, self).__init__()
            self.prefix = prefix

        def process(self, element,**kwargs):
            logging.info(self.prefix + str(element))
            yield element

    def __init__(self, label=None, prefix=''):
        super(LogElements, self).__init__(label)
        self.prefix = prefix

    def expand(self, input):
        input | beam.ParDo(self._LoggingFn(self.prefix))

from apache_beam.options.pipeline_options import PipelineOptions

options = PipelineOptions(["--runner=PortableRunner", "--job_endpoint=localhost:8099"])

p = beam.Pipeline(options=options)

(p | beam.Create([1, 2, 3, 4, 5]) | LogElements())

p.run()

以下是我运行作业服务的方式：
grad尔：runners:flink：1.8:作业-server:runshadow -pflinkmasterurl=localhost:8081
docker将自动选择用于执行python线束。
我可以更改用于运行python容器的图像：
options=pipelineoptions（[“--runner=portablerunner”，“--job\u endpoint=localhost:8099“，”--environment\u type=docker“，”--environment\u config=beam/python:latest"])
我可以禁用docker并启用externalenvironmentfactory：
options=pipelineoptions（[“--runner=portablerunner”，“--job\u endpoint=localhost:8099“，”--environment\u type=external“，”--environment\u config=server“]）
但是我必须在上面实现一些回调应答http://server:80.
是否有实施方案？