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Databricks Tools

Databricks Create Cluster

Tool to create a new Databricks Spark cluster with specified configuration. Use when you need to provision compute resources for data processing. This is an asynchronous operation that returns a cluster_id immediately with the cluster in PENDING state. The cluster transitions th…

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Use Databricks Create Cluster

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Inputs

  • autoscaleobject
    Autoscaling configuration for cluster workers.
  • policy_idstring
    Cluster policy ID for validation and defaults
  • clone_fromstring
    Source cluster ID to clone configuration and libraries from
  • spark_confobject
    Spark configuration key-value pairs
  • custom_tagsobject
    Additional tags for cluster resources. Maximum 45 tags
  • num_workersinteger
    Number of worker nodes. Mutually exclusive with autoscale. Use 0 for single-node clusters
  • cluster_namestring
    Cluster name requested by the user. Does not need to be unique
  • docker_imageobject
    Docker container configuration.
  • init_scriptsarray
    Initialization scripts executed sequentially during cluster startup
  • node_type_idstring
    Instance type for worker nodes. Required unless using instance_pool_id
  • spark_versionstring
    Required
    The Spark version of the cluster. Retrieve available versions via clusters/spark-versions API
  • workload_typeobject
    Workload type restrictions for cluster usage.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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