Library reference docs
Namespaces
google::cloud::dataproc_v1
Classes
AutoscalingPolicyServiceClient
Functions
AutoscalingPolicyServiceConnection
AutoscalingPolicyServiceConnectionIdempotencyPolicy
AutoscalingPolicyServiceLimitedErrorCountRetryPolicy
AutoscalingPolicyServiceLimitedTimeRetryPolicy
AutoscalingPolicyServiceRetryPolicy
BatchControllerClient
Functions
BatchControllerConnectionIdempotencyPolicy
BatchControllerLimitedErrorCountRetryPolicy
BatchControllerLimitedTimeRetryPolicy
ClusterControllerClient
Functions
ClusterControllerConnectionIdempotencyPolicy
ClusterControllerLimitedErrorCountRetryPolicy
ClusterControllerLimitedTimeRetryPolicy
JobControllerClient
Functions
JobControllerConnectionIdempotencyPolicy
JobControllerLimitedErrorCountRetryPolicy
JobControllerLimitedTimeRetryPolicy
NodeGroupControllerClient
Functions
NodeGroupControllerConnectionIdempotencyPolicy
NodeGroupControllerLimitedErrorCountRetryPolicy
NodeGroupControllerLimitedTimeRetryPolicy
SessionControllerClient
Functions
SessionControllerConnectionIdempotencyPolicy
SessionControllerLimitedErrorCountRetryPolicy
SessionControllerLimitedTimeRetryPolicy
SessionTemplateControllerClient
Functions
SessionTemplateControllerConnection
SessionTemplateControllerConnectionIdempotencyPolicy
SessionTemplateControllerLimitedErrorCountRetryPolicy
SessionTemplateControllerLimitedTimeRetryPolicy
SessionTemplateControllerRetryPolicy
WorkflowTemplateServiceClient
Functions
WorkflowTemplateServiceConnection
WorkflowTemplateServiceConnectionIdempotencyPolicy
WorkflowTemplateServiceLimitedErrorCountRetryPolicy
WorkflowTemplateServiceLimitedTimeRetryPolicy
WorkflowTemplateServiceRetryPolicy
Structs
AutoscalingPolicyServiceBackoffPolicyOption
AutoscalingPolicyServiceConnectionIdempotencyPolicyOption
AutoscalingPolicyServiceRetryPolicyOption
BatchControllerBackoffPolicyOption
BatchControllerConnectionIdempotencyPolicyOption
BatchControllerPollingPolicyOption
BatchControllerRetryPolicyOption
ClusterControllerBackoffPolicyOption
ClusterControllerConnectionIdempotencyPolicyOption
ClusterControllerPollingPolicyOption
ClusterControllerRetryPolicyOption
JobControllerBackoffPolicyOption
JobControllerConnectionIdempotencyPolicyOption
JobControllerPollingPolicyOption
NodeGroupControllerBackoffPolicyOption
NodeGroupControllerConnectionIdempotencyPolicyOption
NodeGroupControllerPollingPolicyOption
NodeGroupControllerRetryPolicyOption
SessionControllerBackoffPolicyOption
SessionControllerConnectionIdempotencyPolicyOption
SessionControllerPollingPolicyOption
SessionControllerRetryPolicyOption
SessionTemplateControllerBackoffPolicyOption
SessionTemplateControllerConnectionIdempotencyPolicyOption
SessionTemplateControllerRetryPolicyOption
WorkflowTemplateServiceBackoffPolicyOption
WorkflowTemplateServiceConnectionIdempotencyPolicyOption
WorkflowTemplateServicePollingPolicyOption
WorkflowTemplateServiceRetryPolicyOption
google::cloud::dataproc_v1_mocks
Stay organized with collections Save and categorize content based on your preferences.
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.
QuickstartThe 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;
}
Main classes
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::SessionControllerClient
dataproc_v1::SessionTemplateControllerClient
dataproc_v1::WorkflowTemplateServiceClient
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 C++ client library for the Cloud Dataproc API, a managed service for Apache Spark and Hadoop, enabling management of resources but not running C++ applications within Dataproc."],["The library provides multiple `*Client` classes, such as `AutoscalingPolicyServiceClient`, `BatchControllerClient`, `ClusterControllerClient`, and others, each with member functions corresponding to service RPCs."],["The C++ client library does not adhere to Semantic Versioning, despite being generally available (GA)."],["The webpage content offers details on error handling, endpoint overrides, authentication credentials, retry policies, and relevant environment variables to configure the library."],["The latest version of this library is `2.37.0-rc`, with many older versions listed down to `2.11.0`."]]],[]]
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4