Meluncurkan Template Flex secara asinkron

Menunjukkan cara meluncurkan Template Flex secara asinkron.

Contoh kode

C#

Untuk melakukan autentikasi ke Dataflow, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

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

public sealed partial class GeneratedFlexTemplatesServiceClientSnippets
{
    /// <summary>Snippet for LaunchFlexTemplateAsync</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 LaunchFlexTemplateRequestObjectAsync()
    {
        // Create client
        FlexTemplatesServiceClient flexTemplatesServiceClient = await FlexTemplatesServiceClient.CreateAsync();
        // Initialize request argument(s)
        LaunchFlexTemplateRequest request = new LaunchFlexTemplateRequest
        {
            ProjectId = "",
            LaunchParameter = new LaunchFlexTemplateParameter(),
            Location = "",
            ValidateOnly = false,
        };
        // Make the request
        LaunchFlexTemplateResponse response = await flexTemplatesServiceClient.LaunchFlexTemplateAsync(request);
    }
}

Java

Untuk melakukan autentikasi ke Dataflow, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

import com.google.api.core.ApiFuture;
import com.google.dataflow.v1beta3.FlexTemplatesServiceClient;
import com.google.dataflow.v1beta3.LaunchFlexTemplateParameter;
import com.google.dataflow.v1beta3.LaunchFlexTemplateRequest;
import com.google.dataflow.v1beta3.LaunchFlexTemplateResponse;

public class AsyncLaunchFlexTemplate {

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

  public static void asyncLaunchFlexTemplate() 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 (FlexTemplatesServiceClient flexTemplatesServiceClient =
        FlexTemplatesServiceClient.create()) {
      LaunchFlexTemplateRequest request =
          LaunchFlexTemplateRequest.newBuilder()
              .setProjectId("projectId-894832108")
              .setLaunchParameter(LaunchFlexTemplateParameter.newBuilder().build())
              .setLocation("location1901043637")
              .setValidateOnly(true)
              .build();
      ApiFuture<LaunchFlexTemplateResponse> future =
          flexTemplatesServiceClient.launchFlexTemplateCallable().futureCall(request);
      // Do something.
      LaunchFlexTemplateResponse response = future.get();
    }
  }
}

Node.js

Untuk melakukan autentikasi ke Dataflow, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

/**
 * 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.
 */
/**
 *  Required. The ID of the Cloud Platform project that the job belongs to.
 */
// const projectId = 'abc123'
/**
 *  Required. Parameter to launch a job form Flex Template.
 */
// const launchParameter = {}
/**
 *  Required. The regional endpoint 
 *  (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to
 *  which to direct the request. E.g., us-central1, us-west1.
 */
// const location = 'abc123'
/**
 *  If true, the request is validated but not actually executed.
 *  Defaults to false.
 */
// const validateOnly = true

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

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

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

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

callLaunchFlexTemplate();

Python

Untuk melakukan autentikasi ke Dataflow, siapkan Kredensial Default Aplikasi. Untuk mengetahui informasi selengkapnya, baca Menyiapkan autentikasi untuk lingkungan pengembangan lokal.

# 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_launch_flex_template():
    # Create a client
    client = dataflow_v1beta3.FlexTemplatesServiceAsyncClient()

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

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

    # Handle the response
    print(response)

Langkah berikutnya

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