Azure Databricks · Schema

CreateClusterRequest

AnalyticsApache SparkBig DataData EngineeringMachine-Learning

Properties

Name Type Description
cluster_name string Cluster name requested by the user. Does not have to be unique. If not specified at creation, the cluster name is an empty string.
spark_version string The runtime version of the cluster. You can retrieve a list of available runtime versions using the spark-versions endpoint.
node_type_id string The node type for the worker nodes. Refer to list-node-types for available node types.
driver_node_type_id string The node type for the driver node. If unset, the driver node type is set as the same value as node_type_id.
num_workers integer Number of worker nodes. For a fixed-size cluster, set this to the desired number of workers. For an autoscaling cluster, this field is ignored in favor of autoscale settings.
autoscale object
spark_conf object Map of Spark configuration key-value pairs. These are passed directly to the Spark driver and executors.
azure_attributes object
ssh_public_keys array SSH public keys for accessing cluster nodes
custom_tags object Custom tags applied to cluster resources. Databricks adds default tags in addition to any custom tags you specify.
cluster_log_conf object
init_scripts array Init scripts to run when the cluster starts
spark_env_vars object Map of environment variable key-value pairs for the Spark process.
enable_elastic_disk boolean If true, enable autoscaling local storage. When enabled, the amount of disk space used by the cluster auto-adjusts.
instance_pool_id string ID of the instance pool to use for cluster nodes. If specified, the cluster uses the instance pool for both driver and worker nodes.
policy_id string Identifier of the cluster policy used to create the cluster.
enable_local_disk_encryption boolean Whether to enable local disk encryption for the cluster
runtime_engine string The runtime engine to use. PHOTON provides optimized query execution.
data_security_mode string Data security mode for the cluster. Determines how data access is controlled.
single_user_name string The name of the single user who can execute commands on the cluster. Required when data_security_mode is SINGLE_USER.
View JSON Schema on GitHub

JSON Schema

microsoft-azure-databricks-createclusterrequest-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/CreateClusterRequest",
  "title": "CreateClusterRequest",
  "type": "object",
  "required": [
    "spark_version"
  ],
  "properties": {
    "cluster_name": {
      "type": "string",
      "description": "Cluster name requested by the user. Does not have to be unique. If not specified at creation, the cluster name is an empty string.",
      "example": "example_value"
    },
    "spark_version": {
      "type": "string",
      "description": "The runtime version of the cluster. You can retrieve a list of available runtime versions using the spark-versions endpoint.",
      "examples": [
        "13.3.x-scala2.12"
      ]
    },
    "node_type_id": {
      "type": "string",
      "description": "The node type for the worker nodes. Refer to list-node-types for available node types.",
      "examples": [
        "Standard_DS3_v2"
      ]
    },
    "driver_node_type_id": {
      "type": "string",
      "description": "The node type for the driver node. If unset, the driver node type is set as the same value as node_type_id.",
      "example": "500123"
    },
    "num_workers": {
      "type": "integer",
      "format": "int32",
      "description": "Number of worker nodes. For a fixed-size cluster, set this to the desired number of workers. For an autoscaling cluster, this field is ignored in favor of autoscale settings.",
      "example": 10
    },
    "autoscale": {
      "$ref": "#/components/schemas/AutoScale"
    },
    "spark_conf": {
      "type": "object",
      "additionalProperties": {
        "type": "string"
      },
      "description": "Map of Spark configuration key-value pairs. These are passed directly to the Spark driver and executors.",
      "example": "example_value"
    },
    "azure_attributes": {
      "$ref": "#/components/schemas/AzureAttributes"
    },
    "ssh_public_keys": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "SSH public keys for accessing cluster nodes",
      "example": []
    },
    "custom_tags": {
      "type": "object",
      "additionalProperties": {
        "type": "string"
      },
      "description": "Custom tags applied to cluster resources. Databricks adds default tags in addition to any custom tags you specify.",
      "example": "example_value"
    },
    "cluster_log_conf": {
      "$ref": "#/components/schemas/ClusterLogConf"
    },
    "init_scripts": {
      "type": "array",
      "items": {
        "$ref": "#/components/schemas/InitScriptInfo"
      },
      "description": "Init scripts to run when the cluster starts",
      "example": []
    },
    "spark_env_vars": {
      "type": "object",
      "additionalProperties": {
        "type": "string"
      },
      "description": "Map of environment variable key-value pairs for the Spark process.",
      "example": "example_value"
    },
    "enable_elastic_disk": {
      "type": "boolean",
      "description": "If true, enable autoscaling local storage. When enabled, the amount of disk space used by the cluster auto-adjusts.",
      "example": true
    },
    "instance_pool_id": {
      "type": "string",
      "description": "ID of the instance pool to use for cluster nodes. If specified, the cluster uses the instance pool for both driver and worker nodes.",
      "example": "500123"
    },
    "policy_id": {
      "type": "string",
      "description": "Identifier of the cluster policy used to create the cluster.",
      "example": "500123"
    },
    "enable_local_disk_encryption": {
      "type": "boolean",
      "description": "Whether to enable local disk encryption for the cluster",
      "example": true
    },
    "runtime_engine": {
      "type": "string",
      "enum": [
        "STANDARD",
        "PHOTON"
      ],
      "description": "The runtime engine to use. PHOTON provides optimized query execution.",
      "example": "STANDARD"
    },
    "data_security_mode": {
      "type": "string",
      "enum": [
        "NONE",
        "SINGLE_USER",
        "USER_ISOLATION",
        "LEGACY_TABLE_ACL",
        "LEGACY_PASSTHROUGH",
        "LEGACY_SINGLE_USER",
        "LEGACY_SINGLE_USER_STANDARD"
      ],
      "description": "Data security mode for the cluster. Determines how data access is controlled.",
      "example": "NONE"
    },
    "single_user_name": {
      "type": "string",
      "description": "The name of the single user who can execute commands on the cluster. Required when data_security_mode is SINGLE_USER.",
      "example": "example_value"
    }
  }
}

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