Crear clúster de ajuste de escala automático

Crea un clúster de Dataproc con una política de ajuste de escala automático.

Muestra de código

Java

Antes de probar este ejemplo, sigue las instrucciones de configuración para Java que se encuentran en la guía de inicio rápido de Dataproc sobre cómo usar bibliotecas cliente. Si deseas obtener más información, consulta la documentación de referencia de la API de Java de Dataproc.

Para autenticarte en Dataproc, configura las credenciales predeterminadas de la aplicación. Para obtener más información, consulta Configura la autenticación para un entorno de desarrollo local.

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.dataproc.v1.AutoscalingConfig;
import com.google.cloud.dataproc.v1.AutoscalingPolicy;
import com.google.cloud.dataproc.v1.AutoscalingPolicyServiceClient;
import com.google.cloud.dataproc.v1.AutoscalingPolicyServiceSettings;
import com.google.cloud.dataproc.v1.BasicAutoscalingAlgorithm;
import com.google.cloud.dataproc.v1.BasicYarnAutoscalingConfig;
import com.google.cloud.dataproc.v1.Cluster;
import com.google.cloud.dataproc.v1.ClusterConfig;
import com.google.cloud.dataproc.v1.ClusterControllerClient;
import com.google.cloud.dataproc.v1.ClusterControllerSettings;
import com.google.cloud.dataproc.v1.ClusterOperationMetadata;
import com.google.cloud.dataproc.v1.InstanceGroupAutoscalingPolicyConfig;
import com.google.cloud.dataproc.v1.InstanceGroupConfig;
import com.google.cloud.dataproc.v1.RegionName;
import com.google.protobuf.Duration;
import java.io.IOException;
import java.util.concurrent.ExecutionException;

public class CreateClusterWithAutoscaling {

  public static void createClusterwithAutoscaling() throws IOException, InterruptedException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "your-project-id";
    String region = "your-project-region";
    String clusterName = "your-cluster-name";
    String autoscalingPolicyName = "your-autoscaling-policy";
    createClusterwithAutoscaling(projectId, region, clusterName, autoscalingPolicyName);
  }

  public static void createClusterwithAutoscaling(
      String projectId, String region, String clusterName, String autoscalingPolicyName)
      throws IOException, InterruptedException {
    String myEndpoint = String.format("%s-dataproc.googleapis.com:443", region);

    // Configure the settings for the cluster controller client.
    ClusterControllerSettings clusterControllerSettings =
        ClusterControllerSettings.newBuilder().setEndpoint(myEndpoint).build();

    // Configure the settings for the autoscaling policy service client.
    AutoscalingPolicyServiceSettings autoscalingPolicyServiceSettings =
        AutoscalingPolicyServiceSettings.newBuilder().setEndpoint(myEndpoint).build();

    // Create a cluster controller client and an autoscaling controller client with the configured
    // settings. The clients only need to be created once and can be reused for multiple requests.
    // Using a
    // try-with-resources closes the client, but this can also be done manually with the .close()
    // method.
    try (ClusterControllerClient clusterControllerClient =
            ClusterControllerClient.create(clusterControllerSettings);
        AutoscalingPolicyServiceClient autoscalingPolicyServiceClient =
            AutoscalingPolicyServiceClient.create(autoscalingPolicyServiceSettings)) {

      // Create the Autoscaling policy.
      InstanceGroupAutoscalingPolicyConfig workerInstanceGroupAutoscalingPolicyConfig =
          InstanceGroupAutoscalingPolicyConfig.newBuilder()
              .setMinInstances(2)
              .setMaxInstances(100)
              .setWeight(1)
              .build();
      InstanceGroupAutoscalingPolicyConfig secondaryWorkerInstanceGroupAutoscalingPolicyConfig =
          InstanceGroupAutoscalingPolicyConfig.newBuilder()
              .setMinInstances(0)
              .setMaxInstances(100)
              .setWeight(1)
              .build();
      BasicYarnAutoscalingConfig basicYarnApplicationConfig =
          BasicYarnAutoscalingConfig.newBuilder()
              .setScaleUpFactor(0.05)
              .setScaleDownFactor(1.0)
              .setScaleUpMinWorkerFraction(0.0)
              .setScaleUpMinWorkerFraction(0.0)
              .setGracefulDecommissionTimeout(Duration.newBuilder().setSeconds(3600).build())
              .build();
      BasicAutoscalingAlgorithm basicAutoscalingAlgorithm =
          BasicAutoscalingAlgorithm.newBuilder()
              .setCooldownPeriod(Duration.newBuilder().setSeconds(240).build())
              .setYarnConfig(basicYarnApplicationConfig)
              .build();
      AutoscalingPolicy autoscalingPolicy =
          AutoscalingPolicy.newBuilder()
              .setId(autoscalingPolicyName)
              .setWorkerConfig(workerInstanceGroupAutoscalingPolicyConfig)
              .setSecondaryWorkerConfig(secondaryWorkerInstanceGroupAutoscalingPolicyConfig)
              .setBasicAlgorithm(basicAutoscalingAlgorithm)
              .build();
      RegionName parent = RegionName.of(projectId, region);

      // Policy is uploaded here.
      autoscalingPolicyServiceClient.createAutoscalingPolicy(parent, autoscalingPolicy);

      // Now the policy can be referenced when creating a cluster.
      String autoscalingPolicyUri =
          String.format(
              "projects/%s/locations/%s/autoscalingPolicies/%s",
              projectId, region, autoscalingPolicyName);
      AutoscalingConfig autoscalingConfig =
          AutoscalingConfig.newBuilder().setPolicyUri(autoscalingPolicyUri).build();

      // Configure the settings for our cluster.
      InstanceGroupConfig masterConfig =
          InstanceGroupConfig.newBuilder()
              .setMachineTypeUri("n1-standard-2")
              .setNumInstances(1)
              .build();
      InstanceGroupConfig workerConfig =
          InstanceGroupConfig.newBuilder()
              .setMachineTypeUri("n1-standard-2")
              .setNumInstances(2)
              .build();
      ClusterConfig clusterConfig =
          ClusterConfig.newBuilder()
              .setMasterConfig(masterConfig)
              .setWorkerConfig(workerConfig)
              .setAutoscalingConfig(autoscalingConfig)
              .build();

      // Create the cluster object with the desired cluster config.
      Cluster cluster =
          Cluster.newBuilder().setClusterName(clusterName).setConfig(clusterConfig).build();

      // Create the Dataproc cluster.
      OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest =
          clusterControllerClient.createClusterAsync(projectId, region, cluster);
      Cluster response = createClusterAsyncRequest.get();

      // Print out a success message.
      System.out.printf("Cluster created successfully: %s", response.getClusterName());

    } catch (ExecutionException e) {
      // If cluster creation does not complete successfully, print the error message.
      System.err.println(String.format("createClusterWithAutoscaling: %s ", e.getMessage()));
    }
  }
}

¿Qué sigue?

Si quieres buscar y filtrar muestras de código para otros productos de Google Cloud , consulta el navegador de muestras deGoogle Cloud .