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Showing content from https://cloud.google.com/cpp/docs/reference/dataproc/2.20.0 below:

C++ Client Libraries | Google Cloud

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An idiomatic C++ client library for the Cloud Dataproc API, a managed Apache Spark and Apache Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. This library allows you to manage Cloud Dataproc resources, but it does not provide APIs to run C++ applications in Cloud Dataproc.

While this library is GA, please note Google Cloud C++ client libraries do not follow Semantic Versioning.

The following shows the code that you'll run in the google/cloud/dataproc/quickstart/ directory, which should give you a taste of the Cloud Dataproc API C++ client library API.

#include "google/cloud/dataproc/v1/cluster_controller_client.h"
#include "google/cloud/common_options.h"
#include <iostream>

int main(int argc, char* argv[]) try {
  if (argc != 3) {
    std::cerr << "Usage: " << argv[0] << " project-id region\n";
    return 1;
  }
  std::string const project_id = argv[1];
  std::string const region = argv[2];

  namespace dataproc = ::google::cloud::dataproc_v1;

  auto client = dataproc::ClusterControllerClient(
      dataproc::MakeClusterControllerConnection(region == "global" ? ""
                                                                   : region));

  for (auto c : client.ListClusters(project_id, region)) {
    if (!c) throw std::move(c).status();
    std::cout << c->cluster_name() << "\n";
  }

  return 0;
} catch (google::cloud::Status const& status) {
  std::cerr << "google::cloud::Status thrown: " << status << "\n";
  return 1;
}

This library offers multiple *Client classes, which are listed below. Each one of these classes exposes all the RPCs for a service as member functions of the class. This library groups multiple services because they are part of the same product or are often used together. A typical example may be the administrative and data plane operations for a single product.

The library also has other classes that provide helpers, configuration parameters, and infrastructure to mock the *Client classes when testing your application.

• dataproc_v1::AutoscalingPolicyServiceClient
• dataproc_v1::BatchControllerClient
• dataproc_v1::ClusterControllerClient
• dataproc_v1::JobControllerClient
• dataproc_v1::NodeGroupControllerClient
• dataproc_v1::WorkflowTemplateServiceClient

• Error Handling - describes how the library reports errors.
• How to Override the Default Endpoint - describes how to override the default endpoint.
• How to Override the Authentication Credentials - describes how to change the authentication credentials used by the library.
• Override Retry, Backoff, and Idempotency Policies - describes how to change the default retry policies.
• Environment Variables - describes environment variables that can configure the behavior of the library.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-14 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-14 UTC."],[[["This webpage details the Cloud Dataproc API C++ client library, which facilitates managing Cloud Dataproc resources, a service for Apache Spark and Apache Hadoop, but does not run C++ applications within it."],["The library provides several `*Client` classes, such as `AutoscalingPolicyServiceClient`, `BatchControllerClient`, `ClusterControllerClient`, `JobControllerClient`, `NodeGroupControllerClient`, and `WorkflowTemplateServiceClient`, each exposing RPCs for a specific service."],["The latest release candidate version is 2.37.0-rc, and other versions are available such as 2.36.0, 2.35.0, 2.34.0, 2.33.0, and down to the 2.11.0, with the current version being 2.20.0, but it is important to know that the library does not adhere to Semantic Versioning."],["The library's functionality includes error handling, endpoint overriding, authentication credential management, retry policy adjustments, and environment variable configurations."],["A quickstart example demonstrates how to use the `ClusterControllerClient` to list clusters for a given project ID and region."]]],[]]

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