列出项目在所有区域的作业

演示了如何列出项目在所有区域的作业。

代码示例

C#GoJavaPython

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

using Google.Api.Gax;
using Google.Cloud.Dataflow.V1Beta3;
using System;

public sealed partial class GeneratedJobsV1Beta3ClientSnippets
{
    /// <summary>Snippet for AggregatedListJobs</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void AggregatedListJobsRequestObject()
    {
        // Create client
        JobsV1Beta3Client jobsV1Beta3Client = JobsV1Beta3Client.Create();
        // Initialize request argument(s)
        ListJobsRequest request = new ListJobsRequest
        {
            ProjectId = "",
            Filter = ListJobsRequest.Types.Filter.Unknown,
            Location = "",
        };
        // Make the request
        PagedEnumerable<ListJobsResponse, Job> response = jobsV1Beta3Client.AggregatedListJobs(request);

        // Iterate over all response items, lazily performing RPCs as required
        foreach (Job item in response)
        {
            // Do something with each item
            Console.WriteLine(item);
        }

        // Or iterate over pages (of server-defined size), performing one RPC per page
        foreach (ListJobsResponse page in response.AsRawResponses())
        {
            // Do something with each page of items
            Console.WriteLine("A page of results:");
            foreach (Job item in page)
            {
                // Do something with each item
                Console.WriteLine(item);
            }
        }

        // Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
        int pageSize = 10;
        Page<Job> singlePage = response.ReadPage(pageSize);
        // Do something with the page of items
        Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
        foreach (Job item in singlePage)
        {
            // Do something with each item
            Console.WriteLine(item);
        }
        // Store the pageToken, for when the next page is required.
        string nextPageToken = singlePage.NextPageToken;
    }
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

package main

import (
	"context"

	dataflow "cloud.google.com/go/dataflow/apiv1beta3"
	dataflowpb "cloud.google.com/go/dataflow/apiv1beta3/dataflowpb"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := dataflow.NewJobsV1Beta3Client(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &dataflowpb.ListJobsRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/dataflow/apiv1beta3/dataflowpb#ListJobsRequest.
	}
	it := c.AggregatedListJobs(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp

		// If you need to access the underlying RPC response,
		// you can do so by casting the `Response` as below.
		// Otherwise, remove this line. Only populated after
		// first call to Next(). Not safe for concurrent access.
		_ = it.Response.(*dataflowpb.ListJobsResponse)
	}
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

import com.google.dataflow.v1beta3.Job;
import com.google.dataflow.v1beta3.JobView;
import com.google.dataflow.v1beta3.JobsV1Beta3Client;
import com.google.dataflow.v1beta3.ListJobsRequest;

public class SyncAggregatedListJobs {

  public static void main(String[] args) throws Exception {
    syncAggregatedListJobs();
  }

  public static void syncAggregatedListJobs() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (JobsV1Beta3Client jobsV1Beta3Client = JobsV1Beta3Client.create()) {
      ListJobsRequest request =
          ListJobsRequest.newBuilder()
              .setProjectId("projectId-894832108")
              .setView(JobView.forNumber(0))
              .setPageSize(883849137)
              .setPageToken("pageToken873572522")
              .setLocation("location1901043637")
              .build();
      for (Job element : jobsV1Beta3Client.aggregatedListJobs(request).iterateAll()) {
        // doThingsWith(element);
      }
    }
  }
}

如需向 Dataflow 进行身份验证，请设置应用默认凭据。 如需了解详情，请参阅为本地开发环境设置身份验证。

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataflow_v1beta3


def sample_aggregated_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3Client()

    # Initialize request argument(s)
    request = dataflow_v1beta3.ListJobsRequest(
    )

    # Make the request
    page_result = client.aggregated_list_jobs(request=request)

    # Handle the response
    for response in page_result:
        print(response)

后续步骤

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