列出集群
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
列出项目中的所有 Dataproc 集群。
代码示例
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[[["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"]],[],[[["\u003cp\u003eThis code sample demonstrates how to list all Dataproc clusters within a specified project and region.\u003c/p\u003e\n"],["\u003cp\u003eThe code utilizes the Dataproc Python API client library to interact with Google Cloud.\u003c/p\u003e\n"],["\u003cp\u003eAuthentication is required via Application Default Credentials for local development.\u003c/p\u003e\n"],["\u003cp\u003eThe code provides details of each cluster, including its name and status.\u003c/p\u003e\n"],["\u003cp\u003eAdditional code samples for other Google Cloud products are available via the Google Cloud sample browser.\u003c/p\u003e\n"]]],[],null,["Lists all Dataproc clusters in a project.\n\nCode sample \n\nPython\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Dataproc quickstart using\nclient libraries](/dataproc/docs/quickstarts/quickstart-lib).\n\n\nFor more information, see the\n[Dataproc Python API\nreference documentation](/python/docs/reference/dataproc/latest).\n\n\nTo authenticate to Dataproc, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n def list_clusters(dataproc, project, region):\n \"\"\"List the details of clusters in the region.\"\"\"\n for cluster in dataproc.list_clusters(\n request={\"project_id\": project, \"region\": region}\n ):\n print(f\"{cluster.cluster_name} - {cluster.status.state.name}\")\n\nWhat's next\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=dataproc)."]]