Mantenha tudo organizado com as coleções
Salve e categorize o conteúdo com base nas suas preferências.
Esta página explica como atualizar e excluir um cluster existente do Dataproc.
Atualize um cluster
É possível atualizar um cluster emitindo uma solicitação clusters.patch da API Dataproc, executando um comando gcloud dataproc clusters update em uma janela de terminal local ou no Cloud Shell ou editando os parâmetros do cluster na guia "Configuração" da página de detalhes do cluster no Google Cloud console.
Os seguintes parâmetros de cluster podem ser atualizados:
O Dataproc emite um erro ERROR_DUE_TO_UPDATE quando uma operação de atualização de cluster falha. Esse erro coloca o cluster em um estado à prova de falhas para evitar perda de dados e restringe outras operações de cluster: os jobs podem continuar sendo enviados ao cluster, e ele pode ser excluído, mas outras operações de atualização não são permitidas.
Recomendação: depois de receber um ERROR_DUE_TO_UPDATE em um cluster, recrie o cluster exportando a configuração dele para criar um novo e exclua o cluster com falha. Se a recriação do cluster falhar, entre em contato com o Cloud Customer Care para receber ajuda na restauração do cluster para um estado RUNNING.
Excluir um cluster
É possível excluir um cluster por meio de uma API HTTP clusters.delete do Dataproc ou de uma solicitação programática, usando a ferramenta de linha de comando gcloud da CLI do Google Cloud localmente em uma janela de terminal ou no Cloud Shell ou pelo Google Cloud console.
Use a API
clusters.delete
do Dataproc para excluir um cluster.
Console
Abra a página Clusters do Dataproc no console do Google Cloud . Selecione o cluster marcando a caixa à esquerda do nome dele e clique em Excluir para excluir o cluster.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[[["\u003cp\u003eDataproc clusters can be updated through the Dataproc API, the \u003ccode\u003egcloud\u003c/code\u003e command-line tool, or the Google Cloud console.\u003c/p\u003e\n"],["\u003cp\u003eUpdatable cluster parameters include the number of standard or secondary worker nodes, graceful decommissioning settings, and cluster labels.\u003c/p\u003e\n"],["\u003cp\u003eDeleting a Dataproc cluster can be accomplished using the Dataproc API, the \u003ccode\u003egcloud\u003c/code\u003e CLI tool, or the Google Cloud console.\u003c/p\u003e\n"],["\u003cp\u003eCluster deletion is irreversible; once a cluster is deleted, it cannot be recovered.\u003c/p\u003e\n"]]],[],null,["This page explains how to update and delete an existing Dataproc cluster.\n\nUpdate a cluster\n\nYou can update a cluster by issuing a Dataproc API\n[clusters.patch](/dataproc/docs/reference/rest/v1/projects.regions.clusters/patch) request, running\na [gcloud dataproc clusters update](/sdk/gcloud/reference/dataproc/clusters/update)\ncommand in a local terminal window or in\n[Cloud Shell](https://console.cloud.google.com/?cloudshell=true), or by editing cluster\nparameters from the Configuration tab of the Cluster details page for the\ncluster in the [Google Cloud console](https://console.cloud.google.com/dataproc/clusters).\n\nThe following cluster parameters can be updated:\n\n- the number of standard worker nodes in a cluster---see [Scaling clusters](/dataproc/docs/concepts/scaling-clusters)\n- the number of secondary worker nodes in a cluster--- see [Preemptible VMs](/dataproc/docs/concepts/preemptible-vms)\n- whether to use [graceful decommissioning](/dataproc/docs/concepts/configuring-clusters/scaling-clusters#graceful_decommissioning) to control shutting down a worker after its jobs are completed\n- adding or deleting cluster [labels](/dataproc/docs/concepts/labels)\n\nCluster update error\n\nDataproc issues an `ERROR_DUE_TO_UPDATE` error when a cluster\nupdate operation fails. This error places the cluster in a fail-safe state to\navoid data loss, and restricts further cluster operations: jobs can continue\nto be submitted to the cluster, the cluster can be deleted, but further\ncluster update operations are not permitted.\n\nRecommendation: After receiving an `ERROR_DUE_TO_UPDATE` on a cluster,\n[recreate the cluster](/dataproc/docs/guides/recreate-cluster#recreate_and_update_a_cluster)\nby exporting the cluster configuration to create a new cluster, then delete the\nfailed cluster. If recreating the cluster fails, contact\n[Cloud Customer Care](/support) for help in restoring the cluster to a\n`RUNNING` state.\n| **Note:** A cluster can enter the `ERROR_DUE_TO_UPDATE` state if you attempt to update cluster resources through Compute Engine API operations. To update cluster resources, use [Dataproc update](/dataproc/docs/guides/manage-cluster#update_a_cluster) operations.\n\nDelete a cluster\n\nYou can delete a cluster via a Dataproc API\n[clusters.delete](/dataproc/docs/reference/rest/v1/projects.regions.clusters/delete) HTTP or programmatic request, using the Google Cloud CLI\n[gcloud](/sdk/gcloud/reference/dataproc/clusters/delete)\ncommand-line tool locally in a terminal window or in [Cloud Shell](https://console.cloud.google.com/?cloudshell=true), or from the [Google Cloud console](https://console.cloud.google.com/dataproc/clusters).\n**Deletion is permanent:** Once deleted, clusters cannot be restored. You can, however, quickly create new Dataproc clusters as you need them. \n\ngcloud command\n\nTo delete a Dataproc cluster, use the gcloud CLI\n[gcloud dataproc clusters delete](/sdk/gcloud/reference/dataproc/clusters/delete)\ncommand locally in a terminal window or in\n[Cloud Shell](https://console.cloud.google.com/?cloudshell=true). \n\n```\ngcloud dataproc clusters delete cluster-name \\\n --region=region\n```\n\nREST API\n\nUse the Dataproc\n[clusters.delete](/dataproc/docs/reference/rest/v1/projects.regions.clusters/delete)\nAPI to delete a cluster.\n\nConsole\n\nOpen the Dataproc\n[Clusters](https://console.cloud.google.com/dataproc/clusters)\npage in the Google Cloud console. Select the cluster by checking the box\nto the left of the cluster name, then Click **Delete** to\ndelete the cluster."]]
