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Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini menjelaskan cara mengupdate dan menghapus cluster Dataproc yang ada.
Mengupdate cluster
Anda dapat mengupdate cluster dengan mengirimkan permintaan clusters.patch Dataproc API, menjalankan perintah gcloud dataproc clusters update di jendela terminal lokal atau di Cloud Shell, atau dengan mengedit parameter cluster dari tab Konfigurasi di halaman detail Cluster untuk cluster di konsol Google Cloud .
Dataproc mengeluarkan error ERROR_DUE_TO_UPDATE saat operasi update cluster gagal. Error ini menempatkan cluster dalam status fail-safe untuk
menghindari kehilangan data, dan membatasi operasi cluster lebih lanjut: tugas dapat terus
dikirimkan ke cluster, cluster dapat dihapus, tetapi operasi update cluster lebih lanjut tidak diizinkan.
Rekomendasi: Setelah menerima ERROR_DUE_TO_UPDATE di cluster,
buat ulang cluster
dengan mengekspor konfigurasi cluster untuk membuat cluster baru, lalu hapus cluster yang gagal. Jika pembuatan ulang cluster gagal, hubungi
Cloud Customer Care untuk mendapatkan bantuan dalam memulihkan cluster ke status
RUNNING.
Hapus cluster
Anda dapat menghapus cluster melalui permintaan HTTP atau terprogram clusters.delete Dataproc API, menggunakan alat command line gcloud Google Cloud CLI secara lokal di jendela terminal atau di Cloud Shell, atau dari Google Cloud konsol.
Gunakan API
clusters.delete
Dataproc untuk menghapus cluster.
Konsol
Buka halaman
Clusters
Dataproc di Google Cloud console. Pilih cluster dengan mencentang kotak
di sebelah kiri nama cluster, lalu Klik Hapus untuk
menghapus cluster.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 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."]]
