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Ce document explique comment configurer un projet Google Cloud et une machine virtuelle (VM) Compute Engine.
Configurer un projet Google Cloud
Sign in to your Google Cloud account. If you're new to
Google Cloud,
create an account to evaluate how our products perform in
real-world scenarios. New customers also get $300 in free credits to
run, test, and deploy workloads.
In the Google Cloud console, on the project selector page,
select or create a Google Cloud project.
Pour initialiser la gcloud CLI, exécutez la commande suivante :
gcloudinit
Avez-vous besoin d'identifiants ? Vous n'avez besoin d'identifiants que si vous envisagez d'appeler directement les API Dataproc à partir de votre application ou d'un navigateur. Si vous prévoyez d'utiliser la console Google Cloud ou la Google Cloud CLI pour créer et gérer des clusters et envoyer des tâches, il vous suffit d'être connecté au SDK avec la commande gcloud init.
Facultatif : Configurer une VM
Si vous prévoyez d'exécuter la gcloud CLI à partir d'une instance de machine virtuelle (VM) Compute Engine, la VM doit être configurée pour accéder aux services Google Cloud .
Pour vérifier si votre VM est correctement configurée, exécutez gcloud compute instances describe YOUR_VM_INSTANCE_NAME à partir de la ligne de commande. Vous devez répertorier un compte de service incluant le champ d'application https://www.googleapis.com/auth/cloud-platform. Pour en savoir plus sur la configuration d'une VM, consultez Créer une VM qui utilise un compte de service géré par l'utilisateur.
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/09/04 (UTC).
[[["Facile à comprendre","easyToUnderstand","thumb-up"],["J'ai pu résoudre mon problème","solvedMyProblem","thumb-up"],["Autre","otherUp","thumb-up"]],[["Difficile à comprendre","hardToUnderstand","thumb-down"],["Informations ou exemple de code incorrects","incorrectInformationOrSampleCode","thumb-down"],["Il n'y a pas l'information/les exemples dont j'ai besoin","missingTheInformationSamplesINeed","thumb-down"],["Problème de traduction","translationIssue","thumb-down"],["Autre","otherDown","thumb-down"]],["Dernière mise à jour le 2025/09/04 (UTC)."],[[["\u003cp\u003eThis document provides instructions on setting up a Google Cloud project and a Compute Engine virtual machine (VM).\u003c/p\u003e\n"],["\u003cp\u003eCredentials are only necessary when directly calling Dataproc APIs from an application or browser, not when using the Google Cloud console or the gcloud CLI.\u003c/p\u003e\n"],["\u003cp\u003eIf utilizing a Compute Engine VM to run gcloud CLI, it must be configured to access Google Cloud services, with a service account that includes the \u003ccode\u003ehttps://www.googleapis.com/auth/cloud-platform\u003c/code\u003e scope.\u003c/p\u003e\n"],["\u003cp\u003eCloud Shell can be used as an alternative to setting up a personal VM, as it automatically provisions a VM with the necessary scopes to run gcloud CLI commands.\u003c/p\u003e\n"]]],[],null,["This document describes how to set up a Google Cloud project and a\nCompute Engine virtual machine (VM).\n\nSet up a Google Cloud project\n\n- Sign in to your Google Cloud account. If you're new to Google Cloud, [create an account](https://console.cloud.google.com/freetrial) to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Google Cloud Dataproc API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=dataproc)\n-\n [Install](/sdk/docs/install) the Google Cloud CLI.\n\n- If you're using an external identity provider (IdP), you must first\n [sign in to the gcloud CLI with your federated identity](/iam/docs/workforce-log-in-gcloud).\n\n-\n To [initialize](/sdk/docs/initializing) the gcloud CLI, run the following command:\n\n ```bash\n gcloud init\n ```\n\n- In the Google Cloud console, on the project selector page,\n select or create a Google Cloud project.\n\n | **Note**: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.\n\n [Go to project selector](https://console.cloud.google.com/projectselector2/home/dashboard)\n-\n [Verify that billing is enabled for your Google Cloud project](/billing/docs/how-to/verify-billing-enabled#confirm_billing_is_enabled_on_a_project).\n\n-\n\n\n Enable the Google Cloud Dataproc API.\n\n\n [Enable the API](https://console.cloud.google.com/flows/enableapi?apiid=dataproc)\n-\n [Install](/sdk/docs/install) the Google Cloud CLI.\n\n- If you're using an external identity provider (IdP), you must first\n [sign in to the gcloud CLI with your federated identity](/iam/docs/workforce-log-in-gcloud).\n\n-\n To [initialize](/sdk/docs/initializing) the gcloud CLI, run the following command:\n\n ```bash\n gcloud init\n ```\n\n\u003cbr /\u003e\n\n| **Note:** When you enable the Dataproc API, the Dataproc Control API is also enabled. Disabling the Dataproc API doesn't disable the Dataproc Control API. You must separately disable the Dataproc Control API.\n\n**Do you Need Credentials?** You need credentials only if\nyou plan to directly call Dataproc APIs from your application or from\na browser. If you plan on using the Google Cloud console or the\n[Google Cloud CLI](/sdk/gcloud/reference/dataproc) to\ncreate and manage clusters and to submit jobs, you only need to be logged in\nto the SDK with the `gcloud init` command.\n\nOptional: Set up a VM\n\nIf you plan to run [gcloud CLI](/sdk/docs) from a\nCompute Engine virtual machine (VM) instance, the VM must be set up\nto access Google Cloud services.\n\nTo test whether your VM is set up correctly, run\n`gcloud compute instances describe `\u003cvar translate=\"no\"\u003eYOUR_VM_INSTANCE_NAME\u003c/var\u003e\nfrom the command line. A service account must be listed that includes the\n`https://www.googleapis.com/auth/cloud-platform` scope. For more information\non setting up a VM, see\n[Create a VM that uses a user-managed service account](/compute/docs/access/create-enable-service-accounts-for-instances).\n| **Use Cloud Shell to run\n| gcloud CLI commands.** As an alternative to setting up your own VM to run SDK commands, open a [Cloud Shell](/shell/docs/quickstart) session to automatically provision a VM with the necessary scopes, and then run gcloud CLI commands from Cloud Shell.\n\n*** ** * ** ***\n\n[Next Step: Create a Cluster](/dataproc/docs/guides/create-cluster)"]]
