google-cloud-dataproc - 无法参数化 placement.managedCluster.config 下的任何值

Question

我的目标是从 python 代码创建 dataproc 工作流模板。同时，我希望能够在模板实例化期间参数化 placement.managedCluster.config.gceClusterConfig.subnetworkUri 字段。

我从 json 文件中读取模板，例如:

{
  "id": "bigquery-extractor",
  "placement": {
    "managed_cluster": {
      "config": {
        "gce_cluster_config": {
          "subnetwork_uri": "some-subnet-name"
        },
        "software_config" : {
          "image_version": "1.5"
        }
      },
      "cluster_name": "some-name"
    }
  },
  "jobs": [
    {
      "pyspark_job": {
        "args": [
          "job_argument"
        ],
        "main_python_file_uri": "gs:///path-to-file"
      },
      "step_id": "extract"
    }
  ],
  "parameters": [
    {
      "name": "CLUSTER_NAME",
      "fields": [
        "placement.managedCluster.clusterName"
      ]
    },
    {
      "name": "SUBNETWORK_URI",
      "fields": [
        "placement.managedCluster.config.gceClusterConfig.subnetworkUri"
      ]
    },
    {
      "name": "MAIN_PY_FILE",
      "fields": [
        "jobs['extract'].pysparkJob.mainPythonFileUri"
      ]
    },
    {
      "name": "JOB_ARGUMENT",
      "fields": [
        "jobs['extract'].pysparkJob.args[0]"
      ]
    }
  ]
}

我使用的代码片段:

        options = ClientOptions(api_endpoint="{}-dataproc.googleapis.com:443".format(region))
        client = dataproc.WorkflowTemplateServiceClient(client_options=options)
        template_file = open(path_to_file, "r")
        template_dict = eval(template_file.read())
        print(template_dict)

        template = dataproc.WorkflowTemplate(template_dict)

        full_region_id = "projects/{project_id}/regions/{region}".format(project_id=project_id, region=region)
        try:
            client.create_workflow_template(
                parent=full_region_id,
                template=template
            )
        except AlreadyExists as err:
            print(err)
            pass

当我尝试运行此代码时，出现以下错误:

google.api_core.exceptions.InvalidArgument: 400 Invalid field path placement.managed_cluster.configuration.gce_cluster_config.subnetwork_uri: Field gce_cluster_config does not exist.

如果我尝试参数化 placement.managedCluster.config.softwareConfig.imageVersion，此行为也是相同的，我会得到

google.api_core.exceptions.InvalidArgument: 400 Invalid field path placement.managed_cluster.configuration.software_config.image_version: Field software_config does not exist.

但是，如果我从 parameters 映射中排除 placement.managedCluster.config 下的任何字段，则模板创建成功。

我没有发现对这些字段进行参数化有任何限制。有没有？还是只是我做错了什么？

Answer 1

这doc列出了可参数化的字段。似乎只有 managedCluster 的 managedCluster.name 是可参数化的:

Managed cluster name. Dataproc will use the user-supplied name as the name prefix, and append random characters to create a unique cluster name. The cluster is deleted at the end of the workflow.

我没有看到可参数化的 managedCluster.config。