[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["上次更新時間:2025-08-22 (世界標準時間)。"],[[["\u003cp\u003eCluster selectors allow workflows to run on existing clusters instead of managed clusters, and the selected cluster is not deleted post-workflow.\u003c/p\u003e\n"],["\u003cp\u003eSelectors use Dataproc user labels to identify eligible clusters within the same region as the workflow, and Dataproc chooses the cluster with the most free YARN memory if multiple clusters match.\u003c/p\u003e\n"],["\u003cp\u003eYou can add a cluster selector to a workflow template using either the Google Cloud CLI or the Dataproc API, with options to set specific cluster labels.\u003c/p\u003e\n"],["\u003cp\u003eAutomatically-applied cluster labels like \u003ccode\u003egoog-dataproc-cluster-name\u003c/code\u003e and \u003ccode\u003egoog-dataproc-cluster-uuid\u003c/code\u003e can be used to point a cluster selector to an existing cluster.\u003c/p\u003e\n"],["\u003cp\u003eClusters with matching labels can be used to create cluster pools, and the workflow template can select a cluster within that pool based on the applied labels.\u003c/p\u003e\n"]]],[],null,[]]