Examples with AutoscalingPolicyName com.google.cloud.dataproc.v1.AutoscalingPolicyName used on opensource projects

Example 1 with AutoscalingPolicyName

use of com.google.cloud.dataproc.v1.AutoscalingPolicyName in project java-dataproc by googleapis.

the class CreateClusterWithAutoscalingTest method tearDown.

@After
public void tearDown() throws IOException, InterruptedException, ExecutionException {
    String myEndpoint = String.format("%s-dataproc.googleapis.com:443", REGION);
    ClusterControllerSettings clusterControllerSettings = ClusterControllerSettings.newBuilder().setEndpoint(myEndpoint).build();
    AutoscalingPolicyServiceSettings autoscalingPolicyServiceSettings = AutoscalingPolicyServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
    try (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create(clusterControllerSettings);
        AutoscalingPolicyServiceClient autoscalingPolicyServiceClient = AutoscalingPolicyServiceClient.create(autoscalingPolicyServiceSettings)) {
        OperationFuture<Empty, ClusterOperationMetadata> deleteClusterAsyncRequest = clusterControllerClient.deleteClusterAsync(PROJECT_ID, REGION, CLUSTER_NAME);
        deleteClusterAsyncRequest.get();
        AutoscalingPolicyName name = AutoscalingPolicyName.ofProjectLocationAutoscalingPolicyName(PROJECT_ID, REGION, AUTOSCALING_POLICY_NAME);
        autoscalingPolicyServiceClient.deleteAutoscalingPolicy(name);
    }
}

Example 2 with AutoscalingPolicyName

use of com.google.cloud.dataproc.v1.AutoscalingPolicyName in project cdap by caskdata.

the class PredefinedAutoScaling method createPredefinedAutoScalingPolicy.

// Creates the auto-scaling policy if doesn't exist.
public String createPredefinedAutoScalingPolicy() throws IOException {
    AutoscalingPolicyName autoscalingPolicyName = AutoscalingPolicyName.ofProjectLocationAutoscalingPolicyName(dataprocConf.getProjectId(), dataprocConf.getRegion(), AUTOSCALING_POLICY_ID);
    AutoscalingPolicy generatedPolicy = generatePredefinedAutoScaling();
    try (AutoscalingPolicyServiceClient autoscalingPolicyServiceClient = getAutoscalingPolicyServiceClient()) {
        // If the policy already exists meaning it is already created by cdap or in rare scenario the customer might have
        // created with a similar name. It is also possible that the user might have changed configs in the autoscaling
        // policy.
        // So, if exists -> we will fetch and check if it differs from our predefined values and LOG it
        AutoscalingPolicy existingPolicy = null;
        boolean createPolicy = false;
        try {
            existingPolicy = autoscalingPolicyServiceClient.getAutoscalingPolicy(autoscalingPolicyName);
            boolean yarnDiff = !existingPolicy.getBasicAlgorithm().getYarnConfig().equals(generatedPolicy.getBasicAlgorithm().getYarnConfig());
            boolean workerDiff = !existingPolicy.getWorkerConfig().equals(generatedPolicy.getWorkerConfig());
            boolean secondaryWorkerDiff = !existingPolicy.getSecondaryWorkerConfig().equals(generatedPolicy.getSecondaryWorkerConfig());
            if (yarnDiff || workerDiff || secondaryWorkerDiff) {
                LOG.warn("The predefined auto-scaling policy {} already exists and is having a different configuration" + "as compared to CDF/CDAP's chosen configuration", existingPolicy.getName());
            }
        } catch (NotFoundException e) {
            createPolicy = true;
            LOG.debug("The autoscaling policy doesn't exists");
        }
        if (createPolicy) {
            RegionName parent = RegionName.of(dataprocConf.getProjectId(), dataprocConf.getRegion());
            try {
                autoscalingPolicyServiceClient.createAutoscalingPolicy(parent, generatedPolicy);
            } catch (AlreadyExistsException e) {
            // no - op Race condition: in case 2 pipelines with auto-scaling are triggered together and might try to
            // create in parallel
            }
        }
    }
    return autoscalingPolicyName.toString();
}

Example 3 with AutoscalingPolicyName

use of com.google.cloud.dataproc.v1.AutoscalingPolicyName in project cdap by caskdata.

the class PredefinedAutoScalingTest method testFetchFailedAndCreateIsCalled.

@Test
public void testFetchFailedAndCreateIsCalled() throws IOException {
    PredefinedAutoScaling predefinedAutoScaling = new PredefinedAutoScaling(dataprocConf);
    // mock Return generated auto-scaling policy while fetching
    AutoscalingPolicyName autoscalingPolicyName = AutoscalingPolicyName.ofProjectLocationAutoscalingPolicyName(dataprocConf.getProjectId(), dataprocConf.getRegion(), PredefinedAutoScaling.AUTOSCALING_POLICY_ID);
    AutoscalingPolicy generatedPolicy = predefinedAutoScaling.generatePredefinedAutoScaling();
    AutoscalingPolicyServiceClient mockClient = PowerMockito.mock(AutoscalingPolicyServiceClient.class);
    Mockito.when(mockClient.getAutoscalingPolicy(autoscalingPolicyName)).thenThrow(NotFoundException.class);
    RegionName parent = RegionName.of(dataprocConf.getProjectId(), dataprocConf.getRegion());
    Mockito.when(mockClient.createAutoscalingPolicy(parent, generatedPolicy)).thenReturn(null);
    PredefinedAutoScaling spy = Mockito.spy(predefinedAutoScaling);
    Mockito.doReturn(mockClient).when(spy).getAutoscalingPolicyServiceClient();
    String name = spy.createPredefinedAutoScalingPolicy();
    Mockito.verify(mockClient, Mockito.times(1)).getAutoscalingPolicy(autoscalingPolicyName);
    // verify that create call is not made
    Mockito.verify(mockClient, Mockito.times(1)).createAutoscalingPolicy(parent, generatedPolicy);
    Assert.assertEquals(name, autoscalingPolicyName.toString());
}

Example 4 with AutoscalingPolicyName

use of com.google.cloud.dataproc.v1.AutoscalingPolicyName in project cdap by caskdata.

the class PredefinedAutoScalingTest method testFetchingExistingAutoScalingPolicySuccess.

@Test
public void testFetchingExistingAutoScalingPolicySuccess() throws IOException {
    PredefinedAutoScaling predefinedAutoScaling = new PredefinedAutoScaling(dataprocConf);
    // mock Return generated auto-scaling policy while fetching
    AutoscalingPolicyName autoscalingPolicyName = AutoscalingPolicyName.ofProjectLocationAutoscalingPolicyName(dataprocConf.getProjectId(), dataprocConf.getRegion(), PredefinedAutoScaling.AUTOSCALING_POLICY_ID);
    AutoscalingPolicy generatedPolicy = predefinedAutoScaling.generatePredefinedAutoScaling();
    AutoscalingPolicyServiceClient mockClient = PowerMockito.mock(AutoscalingPolicyServiceClient.class);
    Mockito.when(mockClient.getAutoscalingPolicy(autoscalingPolicyName)).thenReturn(generatedPolicy);
    PredefinedAutoScaling spy = Mockito.spy(predefinedAutoScaling);
    Mockito.doReturn(mockClient).when(spy).getAutoscalingPolicyServiceClient();
    String name = spy.createPredefinedAutoScalingPolicy();
    Mockito.verify(mockClient, Mockito.times(1)).getAutoscalingPolicy(autoscalingPolicyName);
    // verify that create call is not made
    RegionName parent = RegionName.of(dataprocConf.getProjectId(), dataprocConf.getRegion());
    Mockito.verify(mockClient, Mockito.never()).createAutoscalingPolicy(parent, generatedPolicy);
    Assert.assertEquals(name, autoscalingPolicyName.toString());
}

Example 5 with AutoscalingPolicyName

use of com.google.cloud.dataproc.v1.AutoscalingPolicyName in project cdap by cdapio.

the class PredefinedAutoScaling method createPredefinedAutoScalingPolicy.

// Creates the auto-scaling policy if doesn't exist.
public String createPredefinedAutoScalingPolicy() throws IOException {
    AutoscalingPolicyName autoscalingPolicyName = AutoscalingPolicyName.ofProjectLocationAutoscalingPolicyName(dataprocConf.getProjectId(), dataprocConf.getRegion(), AUTOSCALING_POLICY_ID);
    AutoscalingPolicy generatedPolicy = generatePredefinedAutoScaling();
    try (AutoscalingPolicyServiceClient autoscalingPolicyServiceClient = getAutoscalingPolicyServiceClient()) {
        // If the policy already exists meaning it is already created by cdap or in rare scenario the customer might have
        // created with a similar name. It is also possible that the user might have changed configs in the autoscaling
        // policy.
        // So, if exists -> we will fetch and check if it differs from our predefined values and LOG it
        AutoscalingPolicy existingPolicy = null;
        boolean createPolicy = false;
        try {
            existingPolicy = autoscalingPolicyServiceClient.getAutoscalingPolicy(autoscalingPolicyName);
            boolean yarnDiff = !existingPolicy.getBasicAlgorithm().getYarnConfig().equals(generatedPolicy.getBasicAlgorithm().getYarnConfig());
            boolean workerDiff = !existingPolicy.getWorkerConfig().equals(generatedPolicy.getWorkerConfig());
            boolean secondaryWorkerDiff = !existingPolicy.getSecondaryWorkerConfig().equals(generatedPolicy.getSecondaryWorkerConfig());
            if (yarnDiff || workerDiff || secondaryWorkerDiff) {
                LOG.warn("The predefined auto-scaling policy {} already exists and is having a different configuration" + "as compared to CDF/CDAP's chosen configuration", existingPolicy.getName());
            }
        } catch (NotFoundException e) {
            createPolicy = true;
            LOG.debug("The autoscaling policy doesn't exists");
        }
        if (createPolicy) {
            RegionName parent = RegionName.of(dataprocConf.getProjectId(), dataprocConf.getRegion());
            try {
                autoscalingPolicyServiceClient.createAutoscalingPolicy(parent, generatedPolicy);
            } catch (AlreadyExistsException e) {
            // no - op Race condition: in case 2 pipelines with auto-scaling are triggered together and might try to
            // create in parallel
            }
        }
    }
    return autoscalingPolicyName.toString();
}