[[["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 explains how to run Cloud Data Fusion pipelines against a pre-existing Dataproc cluster, instead of the default behavior of creating and deleting ephemeral clusters."],["Using an existing cluster can be beneficial when cluster creation time is prohibitive or when centralized cluster management is required by the organization."],["To use an existing Dataproc cluster, a Cloud Data Fusion instance and a pre-created Dataproc cluster are needed, and if running version 6.2 of Cloud Data Fusion, an older Dataproc image or an upgrade is required."],["Connecting to the existing cluster involves creating a new Compute Engine profile within Cloud Data Fusion and selecting the \"Existing Dataproc\" option, then providing the required information."],["After creating the custom profile, the pipeline must be configured in the Studio to use the custom profile, and then the pipeline will run against the designated Dataproc cluster."]]],[]]