[[["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 addresses the issue of failed ephemeral Dataproc cluster deletions in Cloud Data Fusion, which can occur after a pipeline run."],["Upgrading to the latest Cloud Data Fusion version is strongly recommended to ensure automatic cluster cleanup."],["Configuring the `Max Idle Time` setting (available in versions 6.4+) enables automatic cluster deletion by Dataproc even if the pipeline deletion fails, with a default of 4 hours in version 6.6+."],["If upgrading or setting `Max Idle Time` isn't possible, you can manually delete stale clusters by identifying the relevant project IDs and deleting the clusters from the Dataproc Clusters page."],["For debugging, the `Skip Cluster Deletion` property can be set to `True` to prevent cluster deletion after a pipeline run, but you must manually delete the cluster afterward."]]],[]]