Jobs auflisten (asynchron)

Zeigt, wie Jobs asynchron aufgelistet werden.

Codebeispiel

C#

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using Google.Api.Gax;
using Google.Cloud.Dataflow.V1Beta3;
using System;
using System.Linq;
using System.Threading.Tasks;

public sealed partial class GeneratedJobsV1Beta3ClientSnippets
{
    /// <summary>Snippet for ListJobsAsync</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 async Task ListJobsRequestObjectAsync()
    {
        // Create client
        JobsV1Beta3Client jobsV1Beta3Client = await JobsV1Beta3Client.CreateAsync();
        // Initialize request argument(s)
        ListJobsRequest request = new ListJobsRequest
        {
            ProjectId = "",
            Filter = ListJobsRequest.Types.Filter.Unknown,
            Location = "",
        };
        // Make the request
        PagedAsyncEnumerable<ListJobsResponse, Job> response = jobsV1Beta3Client.ListJobsAsync(request);

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

        // Or iterate over pages (of server-defined size), performing one RPC per page
        await response.AsRawResponses().ForEachAsync((ListJobsResponse page) =>
        {
            // 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 = await response.ReadPageAsync(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;
    }
}

Java

import com.google.api.core.ApiFuture;
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 AsyncListJobs {

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

  public static void asyncListJobs() 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();
      ApiFuture<Job> future = jobsV1Beta3Client.listJobsPagedCallable().futureCall(request);
      // Do something.
      for (Job element : future.get().iterateAll()) {
        // doThingsWith(element);
      }
    }
  }
}

Node.js

/**
 * 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.
 * TODO(developer): Uncomment these variables before running the sample.
 */
/**
 *  The kind of filter to use.
 */
// const filter = {}
/**
 *  The project which owns the jobs.
 */
// const projectId = 'abc123'
/**
 *  If there are many jobs, limit response to at most this many.
 *  The actual number of jobs returned will be the lesser of max_responses
 *  and an unspecified server-defined limit.
 */
// const pageSize = 1234
/**
 *  Set this to the 'next_page_token' field of a previous response
 *  to request additional results in a long list.
 */
// const pageToken = 'abc123'
/**
 *  The regional endpoint 
 *  (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) that
 *  contains this job.
 */
// const location = 'abc123'

// Imports the Dataflow library
const {JobsV1Beta3Client} = require('@google-cloud/dataflow').v1beta3;

// Instantiates a client
const dataflowClient = new JobsV1Beta3Client();

async function callListJobs() {
  // Construct request
  const request = {
  };

  // Run request
  const iterable = dataflowClient.listJobsAsync(request);
  for await (const response of iterable) {
      console.log(response);
  }
}

callListJobs();

Python

# 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


async def sample_list_jobs():
    # Create a client
    client = dataflow_v1beta3.JobsV1Beta3AsyncClient()

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

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

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

Nächste Schritte

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