Module: Google::Cloud::Dataproc::V1

Defined in:
lib/google/cloud/dataproc/v1.rb,
lib/google/cloud/dataproc/v1/credentials.rb,
lib/google/cloud/dataproc/v1/doc/overview.rb,
lib/google/cloud/dataproc/v1/job_controller_client.rb,
lib/google/cloud/dataproc/v1/cluster_controller_client.rb,
lib/google/cloud/dataproc/v1/doc/google/cloud/dataproc/v1/jobs.rb,
lib/google/cloud/dataproc/v1/doc/google/cloud/dataproc/v1/clusters.rb

Overview

Ruby Client for Google Cloud Dataproc API (Beta)

Google Cloud Dataproc API: Manages Hadoop-based clusters and jobs on Google Cloud Platform.

Quick Start

In order to use this library, you first need to go through the following steps:

  1. Select or create a Cloud Platform project.
  2. Enable billing for your project.
  3. Enable the Google Cloud Dataproc API.
  4. Setup Authentication.

Preview

ClusterControllerClient

require "google/cloud/dataproc"

cluster_controller_client = Google::Cloud::Dataproc::ClusterController.new(version: :v1)
project_id_2 = project_id
region = "global"

# Iterate over all results.
cluster_controller_client.list_clusters(project_id_2, region).each do |element|
  # Process element.
end

# Or iterate over results one page at a time.
cluster_controller_client.list_clusters(project_id_2, region).each_page do |page|
  # Process each page at a time.
  page.each do |element|
    # Process element.
  end
end

Next Steps

Enabling Logging

To enable logging for this library, set the logger for the underlying gRPC library. The logger that you set may be a Ruby stdlib Logger as shown below, or a Google::Cloud::Logging::Logger that will write logs to Stackdriver Logging. See grpc/logconfig.rb and the gRPC spec_helper.rb for additional information.

Configuring a Ruby stdlib logger:

require "logger"

module MyLogger
  LOGGER = Logger.new $stderr, level: Logger::WARN
  def logger
    LOGGER
  end
end

# Define a gRPC module-level logger method before grpc/logconfig.rb loads.
module GRPC
  extend MyLogger
end

Defined Under Namespace

Modules: ClusterController, JobController Classes: AcceleratorConfig, CancelJobRequest, Cluster, ClusterConfig, ClusterControllerClient, ClusterMetrics, ClusterStatus, CreateClusterRequest, Credentials, DeleteClusterRequest, DeleteJobRequest, DiagnoseClusterRequest, DiagnoseClusterResults, DiskConfig, GceClusterConfig, GetClusterRequest, GetJobRequest, HadoopJob, HiveJob, InstanceGroupConfig, Job, JobControllerClient, JobPlacement, JobReference, JobScheduling, JobStatus, ListClustersRequest, ListClustersResponse, ListJobsRequest, ListJobsResponse, LoggingConfig, ManagedGroupConfig, NodeInitializationAction, PigJob, PySparkJob, QueryList, SoftwareConfig, SparkJob, SparkSqlJob, SubmitJobRequest, UpdateClusterRequest, UpdateJobRequest, YarnApplication