Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Pengantar repositori
Dokumen ini membantu Anda memahami konsep repositori di
BigQuery. Anda dapat menggunakan repositori untuk melakukan kontrol versi pada
file yang Anda gunakan di BigQuery. BigQuery menggunakan Git untuk mencatat perubahan dan mengelola versi file.
Setiap repositori BigQuery mewakili repositori Git. Anda dapat
menggunakan kemampuan Git bawaan BigQuery, atau Anda dapat terhubung ke
repositori Git pihak ketiga. Dalam setiap repositori, Anda dapat membuat satu atau beberapa ruang kerja untuk mengedit kode yang disimpan di repositori.
Di halaman BigQuery, repositori Anda ditampilkan dalam
urutan abjad di folder Repositories pada panel Explorer.
Repositori pihak ketiga
Anda dapat menghubungkan repositori BigQuery ke repositori Git pihak ketiga jika Anda memilihnya. Dalam hal ini, repositori pihak ketiga menyimpan
kode repositori, bukan BigQuery. BigQuery berinteraksi dengan repositori pihak ketiga untuk memungkinkan Anda mengedit dan menjalankan isinya di ruang kerja BigQuery. Bergantung pada jenis repositori yang Anda pilih, Anda dapat terhubung ke repositori pihak ketiga menggunakan SSH atau HTTPS.
Tabel berikut mencantumkan penyedia Git yang didukung dan metode koneksi yang tersedia untuk repositorinya:
[[["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 2025-08-17 UTC."],[[["\u003cp\u003eBigQuery repositories allow for version control of files used within BigQuery, utilizing Git for managing changes and file versions.\u003c/p\u003e\n"],["\u003cp\u003eRepositories can either use BigQuery's built-in Git capabilities or connect to third-party Git repositories like Microsoft Azure DevOps Services, Bitbucket, GitHub, and GitLab via SSH or HTTPS.\u003c/p\u003e\n"],["\u003cp\u003eBigQuery repositories are displayed alphabetically in the \u003cstrong\u003eRepositories\u003c/strong\u003e folder within the \u003cstrong\u003eExplorer\u003c/strong\u003e pane, and each can contain multiple workspaces for editing code.\u003c/p\u003e\n"],["\u003cp\u003eBigQuery repositories are connected to the default Dataform service account and are subject to Dataform quotas, but there are no charges for creating, updating, or deleting a repository.\u003c/p\u003e\n"],["\u003cp\u003eThis is a Pre-GA feature that is subject to the "Pre-GA Offerings Terms" and might have limited support, with feedback and questions directed to bigquery-repositories-feedback@google.com.\u003c/p\u003e\n"]]],[],null,["# Introduction to repositories\n============================\n\n|\n| **Preview**\n|\n|\n| This product or feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA products and features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n| **Note:** To provide feedback or ask questions that are related to this Preview feature, contact [bigquery-repositories-feedback@google.com](mailto:%20bigquery-repositories-feedback@google.com).\n\nThis document helps you understand the concept of repositories in\nBigQuery. You can use repositories to perform version control on\nfiles you use in BigQuery. BigQuery uses Git to record\nchanges and manage file versions.\n\nEach BigQuery repository represents a Git repository. You can\nuse BigQuery's built-in Git capabilities, or you can connect to\na third-party Git repository. Within each repository, you can create one or more\n[workspaces](/bigquery/docs/workspaces-intro) to edit the code stored in the\nrepository.\n\nOn the BigQuery page, your repositories are displayed in\nalphabetical order in the **Repositories** folder of the **Explorer** pane.\n| **Important:** If you create an asset in a BigQuery repository---for example, a query, notebook (including a notebook with an Apache Spark job), BigQuery pipeline, or Dataform workflow---you cannot schedule it for execution in BigQuery repository. For scheduling and executing Dataform pipelines, you need to use Dataform repositories. For scheduling queries and notebooks, use BigQuery Studio. For more information, see [Scheduling queries](/bigquery/docs/scheduling-queries), [Schedule notebooks](/bigquery/docs/orchestrate-notebooks), and [Schedule pipelines](/bigquery/docs/schedule-pipelines).\n\nThird-party repositories\n------------------------\n\nYou can connect a BigQuery repository to\na third-party Git repository if you choose. In this case, the third-party repository stores\nthe repository code instead of BigQuery. BigQuery interacts with the third-party\nrepository to allow you to edit and execute its contents in a\nBigQuery workspace. Depending on the type of repository you\nchoose, you can connect to a third-party repository by using SSH or HTTPS.\n\nThe following table lists supported Git providers and the connection\nmethods that are available for their repositories:\n\nFor more information, see\n[Connect to a third-party repository](/bigquery/docs/repositories#connect-third-party).\n\nService account\n---------------\n\nAll BigQuery repositories are connected to the default\nDataform service account. This service account is derived from your\nproject number in the following format: \n\n service-\u003cvar translate=\"no\"\u003eYOUR_PROJECT_NUMBER\u003c/var\u003e@gcp-sa-dataform.iam.gserviceaccount.com\n\nLocations\n---------\n\nYou can create repositories in all\n[BigQuery Studio locations](/bigquery/docs/locations#bqstudio-loc).\n\nQuotas\n------\n\n[Dataform quotas](/dataform/docs/quotas#quotas) apply to use of\nBigQuery repositories.\n\nPricing\n-------\n\nYou are not charged for creating, updating, or deleting a repository.\n\nFor more information on BigQuery pricing, see [Pricing](/bigquery/pricing).\n\nWhat's next\n-----------\n\n- Learn how to [create repositories](/bigquery/docs/repositories).\n- Learn how to [create workspaces](/bigquery/docs/workspaces)."]]
