The interfaces provided are listed below, along with usage samples. * *
======================= AutoscalingPolicyServiceClient ======================= * *
Service Description: The API interface for managing autoscaling policies in the Dataproc API. * *
Sample for AutoscalingPolicyServiceClient: * *
{@code
* // 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 (AutoscalingPolicyServiceClient autoscalingPolicyServiceClient =
* AutoscalingPolicyServiceClient.create()) {
* LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
* AutoscalingPolicy policy = AutoscalingPolicy.newBuilder().build();
* AutoscalingPolicy response =
* autoscalingPolicyServiceClient.createAutoscalingPolicy(parent, policy);
* }
* }
*
* ======================= BatchControllerClient ======================= * *
Service Description: The BatchController provides methods to manage batch workloads. * *
Sample for BatchControllerClient: * *
{@code
* // 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 (BatchControllerClient batchControllerClient = BatchControllerClient.create()) {
* BatchName name = BatchName.of("[PROJECT]", "[LOCATION]", "[BATCH]");
* Batch response = batchControllerClient.getBatch(name);
* }
* }
*
* ======================= ClusterControllerClient ======================= * *
Service Description: The ClusterControllerService provides methods to manage clusters of * Compute Engine instances. * *
Sample for ClusterControllerClient: * *
{@code
* // 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 (ClusterControllerClient clusterControllerClient = ClusterControllerClient.create()) {
* String projectId = "projectId-894832108";
* String region = "region-934795532";
* String clusterName = "clusterName-1141738587";
* Cluster response = clusterControllerClient.getCluster(projectId, region, clusterName);
* }
* }
*
* ======================= JobControllerClient ======================= * *
Service Description: The JobController provides methods to manage jobs. * *
Sample for JobControllerClient: * *
{@code
* // 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 (JobControllerClient jobControllerClient = JobControllerClient.create()) {
* String projectId = "projectId-894832108";
* String region = "region-934795532";
* Job job = Job.newBuilder().build();
* Job response = jobControllerClient.submitJob(projectId, region, job);
* }
* }
*
* ======================= NodeGroupControllerClient ======================= * *
Service Description: The `NodeGroupControllerService` provides methods to manage node groups * of Compute Engine managed instances. * *
Sample for NodeGroupControllerClient: * *
{@code
* // 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 (NodeGroupControllerClient nodeGroupControllerClient = NodeGroupControllerClient.create()) {
* NodeGroupName name = NodeGroupName.of("[PROJECT]", "[REGION]", "[CLUSTER]", "[NODE_GROUP]");
* NodeGroup response = nodeGroupControllerClient.getNodeGroup(name);
* }
* }
*
* ======================= WorkflowTemplateServiceClient ======================= * *
Service Description: The API interface for managing Workflow Templates in the Dataproc API. * *
Sample for WorkflowTemplateServiceClient: * *
{@code
* // 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 (WorkflowTemplateServiceClient workflowTemplateServiceClient =
* WorkflowTemplateServiceClient.create()) {
* LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
* WorkflowTemplate template = WorkflowTemplate.newBuilder().build();
* WorkflowTemplate response =
* workflowTemplateServiceClient.createWorkflowTemplate(parent, template);
* }
* }
*/
@Generated("by gapic-generator-java")
package com.google.cloud.dataproc.v1;
import javax.annotation.Generated;