Examples with Cluster com.google.container.v1beta1.Cluster used on opensource projects

Example 71 with Cluster

use of com.google.container.v1beta1.Cluster in project java-dataproc by googleapis.

the class CreateClusterWithAutoscaling method createClusterwithAutoscaling.

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();
    // 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()));
    }
}

Example 72 with Cluster

use of com.google.container.v1beta1.Cluster in project java-dataproc by googleapis.

the class Quickstart method quickstart.

public static void quickstart(String projectId, String region, String clusterName, String jobFilePath) 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 job controller client.
    JobControllerSettings jobControllerSettings = JobControllerSettings.newBuilder().setEndpoint(myEndpoint).build();
    // manually with the .close() method.
    try (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create(clusterControllerSettings);
        JobControllerClient jobControllerClient = JobControllerClient.create(jobControllerSettings)) {
        // 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).build();
        // Create the cluster object with the desired cluster config.
        Cluster cluster = Cluster.newBuilder().setClusterName(clusterName).setConfig(clusterConfig).build();
        // Create the Cloud Dataproc cluster.
        OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest = clusterControllerClient.createClusterAsync(projectId, region, cluster);
        Cluster clusterResponse = createClusterAsyncRequest.get();
        System.out.println(String.format("Cluster created successfully: %s", clusterResponse.getClusterName()));
        // Configure the settings for our job.
        JobPlacement jobPlacement = JobPlacement.newBuilder().setClusterName(clusterName).build();
        PySparkJob pySparkJob = PySparkJob.newBuilder().setMainPythonFileUri(jobFilePath).build();
        Job job = Job.newBuilder().setPlacement(jobPlacement).setPysparkJob(pySparkJob).build();
        // Submit an asynchronous request to execute the job.
        OperationFuture<Job, JobMetadata> submitJobAsOperationAsyncRequest = jobControllerClient.submitJobAsOperationAsync(projectId, region, job);
        Job jobResponse = submitJobAsOperationAsyncRequest.get();
        // Print output from Google Cloud Storage.
        Matcher matches = Pattern.compile("gs://(.*?)/(.*)").matcher(jobResponse.getDriverOutputResourceUri());
        matches.matches();
        Storage storage = StorageOptions.getDefaultInstance().getService();
        Blob blob = storage.get(matches.group(1), String.format("%s.000000000", matches.group(2)));
        System.out.println(String.format("Job finished successfully: %s", new String(blob.getContent())));
        // Delete the cluster.
        OperationFuture<Empty, ClusterOperationMetadata> deleteClusterAsyncRequest = clusterControllerClient.deleteClusterAsync(projectId, region, clusterName);
        deleteClusterAsyncRequest.get();
        System.out.println(String.format("Cluster \"%s\" successfully deleted.", clusterName));
    } catch (ExecutionException e) {
        System.err.println(String.format("quickstart: %s ", e.getMessage()));
    }
}

Example 73 with Cluster

use of com.google.container.v1beta1.Cluster in project java-dataproc by googleapis.

the class SubmitHadoopFsJobTest method setUp.

@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
    bout = new ByteArrayOutputStream();
    System.setOut(new PrintStream(bout));
    ClusterControllerSettings clusterControllerSettings = ClusterControllerSettings.newBuilder().setEndpoint(ENDPOINT).build();
    try (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create(clusterControllerSettings)) {
        // Create the Dataproc cluster.
        Cluster cluster = Cluster.newBuilder().setClusterName(CLUSTER_NAME).build();
        OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest = clusterControllerClient.createClusterAsync(PROJECT_ID, REGION, cluster);
        createClusterAsyncRequest.get();
    }
}

Example 74 with Cluster

use of com.google.container.v1beta1.Cluster in project java-dataproc by googleapis.

the class SubmitJobTest method setUp.

@Before
public void setUp() throws IOException, ExecutionException, InterruptedException {
    bout = new ByteArrayOutputStream();
    System.setOut(new PrintStream(bout));
    ClusterControllerSettings clusterControllerSettings = ClusterControllerSettings.newBuilder().setEndpoint(ENDPOINT).build();
    try (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create(clusterControllerSettings)) {
        // Create the Dataproc cluster.
        Cluster cluster = Cluster.newBuilder().setClusterName(CLUSTER_NAME).build();
        OperationFuture<Cluster, ClusterOperationMetadata> createClusterAsyncRequest = clusterControllerClient.createClusterAsync(PROJECT_ID, REGION, cluster);
        createClusterAsyncRequest.get();
    }
}

Example 75 with Cluster

use of com.google.container.v1beta1.Cluster in project java-pubsublite-spark by googleapis.

the class AdminUtils method createCluster.

public static void createCluster(String projectId, String region, String clusterName, String imageVersion) 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();
    // closes the client, but this can also be done manually with the .close() method.
    try (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create(clusterControllerSettings)) {
        // 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();
        SoftwareConfig softwareConfig = SoftwareConfig.newBuilder().setImageVersion(imageVersion).build();
        GceClusterConfig gceClusterConfig = GceClusterConfig.newBuilder().addServiceAccountScopes("https://www.googleapis.com/auth/cloud-platform").build();
        // Delete the cluster after 2 hours without submitted jobs
        LifecycleConfig lifecycleConfig = LifecycleConfig.newBuilder().setIdleDeleteTtl(Durations.fromHours(2L)).build();
        ClusterConfig clusterConfig = ClusterConfig.newBuilder().setMasterConfig(masterConfig).setWorkerConfig(workerConfig).setSoftwareConfig(softwareConfig).setGceClusterConfig(gceClusterConfig).setLifecycleConfig(lifecycleConfig).build();
        // Create the cluster object with the desired cluster config.
        Cluster cluster = Cluster.newBuilder().setClusterName(clusterName).setConfig(clusterConfig).build();
        // Create the Cloud 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) {
        System.err.println(String.format("Error executing createCluster: %s ", e.getMessage()));
    }
}