更新现有作业的状态（异步）

演示了如何异步更新现有作业的状态。

代码示例

C#

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.Cloud.Dataflow.V1Beta3;
using System.Threading.Tasks;

public sealed partial class GeneratedJobsV1Beta3ClientSnippets
{
    /// <summary>Snippet for UpdateJobAsync</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 UpdateJobRequestObjectAsync()
    {
        // Create client
        JobsV1Beta3Client jobsV1Beta3Client = await JobsV1Beta3Client.CreateAsync();
        // Initialize request argument(s)
        UpdateJobRequest request = new UpdateJobRequest
        {
            ProjectId = "",
            JobId = "",
            Job = new Job(),
            Location = "",
        };
        // Make the request
        Job response = await jobsV1Beta3Client.UpdateJobAsync(request);
    }
}

Java

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.api.core.ApiFuture;
import com.google.dataflow.v1beta3.Job;
import com.google.dataflow.v1beta3.JobsV1Beta3Client;
import com.google.dataflow.v1beta3.UpdateJobRequest;

public class AsyncUpdateJob {

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

  public static void asyncUpdateJob() 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()) {
      UpdateJobRequest request =
          UpdateJobRequest.newBuilder()
              .setProjectId("projectId-894832108")
              .setJobId("jobId101296568")
              .setJob(Job.newBuilder().build())
              .setLocation("location1901043637")
              .build();
      ApiFuture<Job> future = jobsV1Beta3Client.updateJobCallable().futureCall(request);
      // Do something.
      Job response = future.get();
    }
  }
}

Node.js

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.
 * TODO(developer): Uncomment these variables before running the sample.
 */
/**
 *  The ID of the Cloud Platform project that the job belongs to.
 */
// const projectId = 'abc123'
/**
 *  The job ID.
 */
// const jobId = 'abc123'
/**
 *  The updated job.
 *  Only the job state is updatable; other fields will be ignored.
 */
// const job = {}
/**
 *  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 callUpdateJob() {
  // Construct request
  const request = {
  };

  // Run request
  const response = await dataflowClient.updateJob(request);
  console.log(response);
}

callUpdateJob();

Python

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


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

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

    # Make the request
    response = await client.update_job(request=request)

    # Handle the response
    print(response)

后续步骤

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