Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Antarmuka yang tersedia
Anda dapat menggunakan salah satu dari beberapa antarmuka terprogram saat berinteraksi dengan
Dataproc. Berikut adalah antarmuka yang tersedia, dalam urutan yang kami rekomendasikan untuk penggunaannya:
Library Klien Google Cloud:
Library klien Dataproc
(rilis alfa dan beta)
tersedia dalam beberapa bahasa dan
dibuat di gRPC. Library klien ini menyediakan lapisan abstraksi di atas gRPC dan menangani detail polling operasi, percobaan ulang, dan lainnya.
gRPC: Jika library klien tidak tersedia untuk bahasa pemrograman pilihan Anda, Anda dapat membuat library klien gRPC untuk Dataproc dalam bahasa apa pun yang didukung gRPC. Untuk melakukannya, Anda memerlukan definisi layanan protocol buffer yang tersedia dari repositori kami di GitHub.
Kemudian, Anda dapat mengikuti petunjuk untuk bahasa pilihan Anda di
grpc.io untuk membuat dan menggunakan
klien.
REST API: Jika Anda tidak dapat menggunakan library klien Dataproc atau gRPC API, gunakan REST API.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-22 UTC."],[[["\u003cp\u003eDataproc offers multiple programmatic interfaces for interaction, with Google Cloud Client Libraries being the recommended option.\u003c/p\u003e\n"],["\u003cp\u003eGoogle Cloud Client Libraries are available in various languages, built on gRPC, and manage operational details like polling and retries.\u003c/p\u003e\n"],["\u003cp\u003eIf a client library is unavailable for your programming language, you can generate gRPC client libraries using protocol buffers from the Google repository.\u003c/p\u003e\n"],["\u003cp\u003eAs an alternative when client libraries or gRPC API is not an option, the Dataproc REST API can be utilized.\u003c/p\u003e\n"]]],[],null,["# Overview of APIs and Client Libraries\n\nAvailable interfaces\n--------------------\n\nYou can use one of several programmatic interfaces when interacting with\nDataproc. These are the available interfaces, in the order that\nwe recommend using them:\n\n- [Google Cloud Client Libraries](/apis/docs/client-libraries-explained#google_cloud_client_libraries):\n Dataproc\n ([alpha and beta release](/terms/launch-stages#launch-stages))\n client libraries are available in multiple languages and\n are built on [gRPC](https://grpc.io/). These client\n libraries provide a layer of abstraction on top of\n gRPC and handle the details of operation polling, retries, and more.\n\n | **Note:** Although the Cloud Client Libraries are the preferred library choice, [Google API Client Libraries](https://developers.google.com/api-client-library/) for Dataproc are also available. These \"legacy\" libraries access REST but not gRPC APIs (see [Google API Client Libraries](/apis/docs/client-libraries-explained#google_api_client_libraries) for additional information).\n- [gRPC](/dataproc/docs/reference/rpc): If a client library is not available\n for your programming language of choice, you can generate gRPC client\n libraries for Dataproc in any gRPC-supported language. To do this, you'll\n need the\n [protocol buffers](https://developers.google.com/protocol-buffers/)\n service definition available from\n [our repository on GitHub](https://github.com/googleapis/googleapis).\n You can then follow the instructions for your preferred language on\n [grpc.io](https://grpc.io/) to generate and use your\n client.\n\n- [REST API](/dataproc/docs/reference/rest): If you're unable\n to use Dataproc's client libraries or the gRPC API, use the REST API."]]
