[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-08-28 UTC。"],[],[],null,["| **Preview**\n|\n|\n| This product or feature is subject to the \"Pre-GA Offerings Terms\" in the General Service Terms section\n| of the [Service Specific Terms](/terms/service-terms#1).\n|\n| Pre-GA products and features are available \"as is\" and might have limited support.\n|\n| For more information, see the\n| [launch stage descriptions](/products#product-launch-stages).\n\nThis document describes how to create a Dataproc zero-scale cluster.\n\nDataproc zero-scale clusters provide a cost-effective way to use\nDataproc clusters. Unlike\n[standard Dataproc clusters](/dataproc/docs/guides/create-cluster)\nthat require at least two primary workers, Dataproc zero-scale clusters\nuse only [secondary workers](/dataproc/docs/concepts/compute/secondary-vms)\nthat can be scaled down to zero.\n\nDataproc zero-scale clusters are ideal for use as long-running clusters\nthat experience idle periods, such as a cluster that hosts a Jupiter notebook.\nThey provide improved resource utilization through the use of zero-scale\nautoscaling policies.\n\nCharacteristics and limitations\n\nA Dataproc zero-scale cluster shares similarities with a standard\ncluster, but has the following unique characteristics and limitations:\n\n- Requires image version `2.2.53` or later.\n- Supports only secondary workers, not primary workers.\n- Includes services such as YARN, but doesn't support the HDFS file system.\n\n - To use Cloud Storage as the default file system, set the `core:fs.defaultFS` cluster property to a Cloud Storage bucket location (`gs://`\u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e).\n - If you disable a component during cluster creation, also disable HDFS.\n- Can't be converted to or from a standard cluster.\n\n- Requires an autoscaling policy for `ZERO_SCALE` cluster types.\n\n- Requires selecting\n [flexible VMs](/dataproc/docs/concepts/configuring-clusters/flexible-vms#how_to_request_flexible_vms)\n as machine type.\n\n- Doesn't support the Oozie component.\n\n- Can't be created from the Google Cloud console.\n\nOptional: Configure an autoscaling policy\n\nYou can configure an autoscaling policy to define secondary working scaling for\na zero-scale cluster. When doing so, note the following:\n\n- Set the cluster type to `ZERO_SCALE`.\n- Configure an autoscaling policy to the secondary worker config only.\n\nFor more information, see\n[Create an autoscaling policy](/dataproc/docs/concepts/configuring-clusters/autoscaling#create_an_autoscaling_policy).\n\nCreate a Dataproc zero-scale cluster\n\nCreate a zero-scale cluster using the gcloud CLI or\nthe Dataproc API.\n**Note:** When selecting a machine type for zero-scale clusters, use [flexible VMs](/dataproc/docs/concepts/configuring-clusters/flexible-vms#how_to_request_flexible_vms). \n\ngcloud\n\nRun\n[`gcloud dataproc clusters create`](/sdk/gcloud/reference/dataproc/clusters/create)\ncommand locally in a terminal window or in\n[Cloud Shell](https://console.cloud.google.com/?cloudshell=true%22). \n\n gcloud dataproc clusters create \u003cvar translate=\"no\"\u003eCLUSTER_NAME\u003c/var\u003e \\\n --region=\u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e \\\n --cluster-type=zero-scale \\\n --autoscaling-policy=\u003cvar translate=\"no\"\u003eAUTOSCALING_POLICY\u003c/var\u003e \\\n --properties=core:fs.defaultFS=gs://\u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e \\\n --secondary-worker-machine-types=\"type=\u003cvar translate=\"no\"\u003eMACHINE_TYPE1\u003c/var\u003e[,type=\u003cvar translate=\"no\"\u003eMACHINE_TYPE2\u003c/var\u003e...][,rank=\u003cvar translate=\"no\"\u003eRANK\u003c/var\u003e]\"\n ...other args\n\nReplace the following:\n\n- \u003cvar translate=\"no\"\u003eCLUSTER_NAME\u003c/var\u003e: name of the Dataproc zero-scale cluster.\n- \u003cvar translate=\"no\"\u003eREGION\u003c/var\u003e: an [available Compute Engine region](/compute/docs/regions-zones#available).\n- \u003cvar translate=\"no\"\u003eAUTOSCALING_POLICY\u003c/var\u003e: the ID or resource URI of the autoscaling policy.\n- \u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e: name of your Cloud Storage bucket.\n- \u003cvar translate=\"no\"\u003eMACHINE_TYPE\u003c/var\u003e: specific Compute Engine machine type, such as `n1-standard-4`, `e2-standard-8`.\n- \u003cvar translate=\"no\"\u003eRANK\u003c/var\u003e: defines the priority of a list of machine types.\n\nREST\n\nCreate a zero-scale cluster using a Dataproc REST API\n[cluster.create](/dataproc/docs/reference/rest/v1/projects.regions.clusters/create)\nrequest:\n\n- Set [`ClusterConfig.ClusterType`](/dataproc/docs/reference/rest/v1/ClusterConfig#ClusterType.ENUM_VALUES.ZERO_SCALE) for the `secondaryWorkerConfig` to `ZERO_SCALE`.\n- Set the [`AutoscalingConfig.policyUri`](/dataproc/docs/reference/rest/v1/ClusterConfig#AutoscalingConfig.FIELDS.policy_uri) with the `ZERO_SCALE` autoscaling policy ID.\n- Add the `core:fs.defaultFS:gs://`\u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e [SoftwareConfig.property](/static/dataproc/docs/reference/rest/v1/ClusterConfig#SoftwareConfig.FIELDS.properties). Replace \u003cvar translate=\"no\"\u003eBUCKET_NAME\u003c/var\u003e with the name of your Cloud Storage bucket.\n\nWhat's next\n\n- Learn more about [Dataproc autoscaling](/dataproc/docs/concepts/configuring-clusters/autoscaling)."]]