An idiomatic C++ client library for theCloud 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 tomanageCloud Dataproc resources, but it does not provide APIs to run C++ applications in Cloud Dataproc.
While this library isGA, please note Google Cloud C++ client libraries donotfollowSemantic Versioning.
Quickstart
The following shows the code that you'll run in thegoogle/cloud/dataproc/quickstart/directory, which should give you a taste of the Cloud Dataproc API C++ client library API.
This library offers multiple*Clientclasses, 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*Clientclasses when testing your application.
[[["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 2025-09-04 UTC."],[[["\u003cp\u003eThis webpage details the C++ client library for the Cloud Dataproc API, a service for managing Apache Spark and Hadoop clusters.\u003c/p\u003e\n"],["\u003cp\u003eThe library provides multiple \u003ccode\u003e*Client\u003c/code\u003e classes, such as \u003ccode\u003eAutoscalingPolicyServiceClient\u003c/code\u003e and \u003ccode\u003eClusterControllerClient\u003c/code\u003e, enabling control over Cloud Dataproc resources.\u003c/p\u003e\n"],["\u003cp\u003eVersion \u003ccode\u003e2.37.0-rc\u003c/code\u003e is the latest version available, while a history of available versions are provided going down to version \u003ccode\u003e2.11.0\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThis C++ library, while in GA (General Availability), does not adhere to Semantic Versioning.\u003c/p\u003e\n"],["\u003cp\u003eThe library includes a quickstart guide with a code example that demonstrates how to list clusters using the API, with references to documentation on error handling, overriding default settings, and environment variable configuration.\u003c/p\u003e\n"]]],[],null,["Version 2.24.0keyboard_arrow_down\n\n- [2.42.0-rc (latest)](/cpp/docs/reference/dataproc/latest)\n- [2.41.0](/cpp/docs/reference/dataproc/2.41.0)\n- [2.40.0](/cpp/docs/reference/dataproc/2.40.0)\n- [2.39.0](/cpp/docs/reference/dataproc/2.39.0)\n- [2.38.0](/cpp/docs/reference/dataproc/2.38.0)\n- [2.37.0](/cpp/docs/reference/dataproc/2.37.0)\n- [2.36.0](/cpp/docs/reference/dataproc/2.36.0)\n- [2.35.0](/cpp/docs/reference/dataproc/2.35.0)\n- [2.34.0](/cpp/docs/reference/dataproc/2.34.0)\n- [2.33.0](/cpp/docs/reference/dataproc/2.33.0)\n- [2.32.0](/cpp/docs/reference/dataproc/2.32.0)\n- [2.31.0](/cpp/docs/reference/dataproc/2.31.0)\n- [2.30.0](/cpp/docs/reference/dataproc/2.30.0)\n- [2.29.0](/cpp/docs/reference/dataproc/2.29.0)\n- [2.28.0](/cpp/docs/reference/dataproc/2.28.0)\n- [2.27.0](/cpp/docs/reference/dataproc/2.27.0)\n- [2.26.0](/cpp/docs/reference/dataproc/2.26.0)\n- [2.25.1](/cpp/docs/reference/dataproc/2.25.1)\n- [2.24.0](/cpp/docs/reference/dataproc/2.24.0)\n- [2.23.0](/cpp/docs/reference/dataproc/2.23.0)\n- [2.22.1](/cpp/docs/reference/dataproc/2.22.1)\n- [2.21.0](/cpp/docs/reference/dataproc/2.21.0)\n- [2.20.0](/cpp/docs/reference/dataproc/2.20.0)\n- [2.19.0](/cpp/docs/reference/dataproc/2.19.0)\n- [2.18.0](/cpp/docs/reference/dataproc/2.18.0)\n- [2.17.0](/cpp/docs/reference/dataproc/2.17.0)\n- [2.16.0](/cpp/docs/reference/dataproc/2.16.0)\n- [2.15.1](/cpp/docs/reference/dataproc/2.15.1)\n- [2.14.0](/cpp/docs/reference/dataproc/2.14.0)\n- [2.13.0](/cpp/docs/reference/dataproc/2.13.0)\n- [2.12.0](/cpp/docs/reference/dataproc/2.12.0)\n- [2.11.0](/cpp/docs/reference/dataproc/2.11.0) \n\nCloud Dataproc API C++ Client Library\n=====================================\n\nAn idiomatic C++ client library for the [Cloud Dataproc API](https://cloud.google.com/dataproc), 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.\n\nWhile this library is **GA** , please note Google Cloud C++ client libraries do **not** follow [Semantic Versioning](https://semver.org/).\n\n### Quickstart\n\nThe 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. \n\n #include \"google/cloud/dataproc/v1/cluster_controller_client.h\"\n #include \"google/cloud/common_options.h\"\n #include \u003ciostream\u003e\n\n int main(int argc, char* argv[]) try {\n if (argc != 3) {\n std::cerr \u003c\u003c \"Usage: \" \u003c\u003c argv[0] \u003c\u003c \" project-id region\\n\";\n return 1;\n }\n std::string const project_id = argv[1];\n std::string const region = argv[2];\n\n namespace dataproc = ::google::cloud::dataproc_v1;\n\n auto client = dataproc::ClusterControllerClient(\n dataproc::MakeClusterControllerConnection(region == \"global\" ? \"\"\n : region));\n\n for (auto c : client.ListClusters(project_id, region)) {\n if (!c) throw std::move(c).status();\n std::cout \u003c\u003c c-\u003ecluster_name() \u003c\u003c \"\\n\";\n }\n\n return 0;\n } catch (google::cloud::Status const& status) {\n std::cerr \u003c\u003c \"google::cloud::Status thrown: \" \u003c\u003c status \u003c\u003c \"\\n\";\n return 1;\n }\n\n### Main classes\n\nThis 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.\n\nThe library also has other classes that provide helpers, configuration parameters, and infrastructure to mock the `*Client` classes when testing your application.\n\n- [`dataproc_v1::AutoscalingPolicyServiceClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1AutoscalingPolicyServiceClient)\n- [`dataproc_v1::BatchControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1BatchControllerClient)\n- [`dataproc_v1::ClusterControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1ClusterControllerClient)\n- [`dataproc_v1::JobControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1JobControllerClient)\n- [`dataproc_v1::NodeGroupControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1NodeGroupControllerClient)\n- [`dataproc_v1::SessionControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1SessionControllerClient)\n- [`dataproc_v1::SessionTemplateControllerClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1SessionTemplateControllerClient)\n- [`dataproc_v1::WorkflowTemplateServiceClient`](/cpp/docs/reference/dataproc/2.24.0/classgoogle_1_1cloud_1_1dataproc__v1_1_1WorkflowTemplateServiceClient)\n\n### More Information\n\n- [Error Handling](https://cloud.google.com/cpp/docs/reference/common/latest/common-error-handling.html) - describes how the library reports errors.\n- [How to Override the Default Endpoint](/cpp/docs/reference/dataproc/2.24.0/dataproc-override-endpoint) - describes how to override the default endpoint.\n- [How to Override the Authentication Credentials](/cpp/docs/reference/dataproc/2.24.0/dataproc-override-authentication) - describes how to change the authentication credentials used by the library.\n- [Override Retry, Backoff, and Idempotency Policies](/cpp/docs/reference/dataproc/2.24.0/dataproc-override-retry) - describes how to change the default retry policies.\n- [Environment Variables](/cpp/docs/reference/dataproc/2.24.0/dataproc-env) - describes environment variables that can configure the behavior of the library."]]