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.
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-03-26。"],[[["This guide demonstrates how to create a Dataproc cluster using an inline Google APIs Explorer template to interact with the Dataproc API."],["Before running Dataproc jobs, a cluster of virtual machines must be created using the provided Google APIs Explorer template, which requires your project ID and a specified region."],["When creating a cluster, users must input their project ID, choose a cluster region, and assign a cluster name, with options to accept or alter pre-filled values."],["After cluster creation, you can verify its status as \"Running\" on the Dataproc Clusters page in the Google Cloud console, and if no longer needed, the cluster should be deleted to avoid charges."],["Alternative ways to create a cluster exist, such as using the Google Cloud console, the Google Cloud CLI, or client libraries, and these are also options for removing the cluster."]]],[]]
