[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["이해하기 어려움","hardToUnderstand","thumb-down"],["잘못된 정보 또는 샘플 코드","incorrectInformationOrSampleCode","thumb-down"],["필요한 정보/샘플이 없음","missingTheInformationSamplesINeed","thumb-down"],["번역 문제","translationIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-03-26(UTC)"],[[["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."]]],[]]
