Lancer un modèle Flex de manière asynchrone

Explique comment lancer un modèle Flex de manière asynchrone.

Exemple de code

C#

Pour vous authentifier auprès de Dataflow, configurez le service Identifiants par défaut de l'application. Pour en savoir plus, consultez la page Configurer l'authentification pour un environnement de développement local.

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

Pour vous authentifier auprès de Dataflow, configurez le service Identifiants par défaut de l'application. Pour en savoir plus, consultez la page Configurer l'authentification pour un environnement de développement local.

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

Pour vous authentifier auprès de Dataflow, configurez le service Identifiants par défaut de l'application. Pour en savoir plus, consultez la page Configurer l'authentification pour un environnement de développement local.

/**
 * 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

Pour vous authentifier auprès de Dataflow, configurez le service Identifiants par défaut de l'application. Pour en savoir plus, consultez la page Configurer l'authentification pour un environnement de développement local.

# 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)

Étapes suivantes

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