Databricks Compute Clusters Update

• autoscaleobject
  Autoscaling configuration for cluster workers.
• policy_idstring
  References cluster policy for validation and defaults. Only applied if 'policy_id' is in update_mask.
• cluster_idstring

  Required
  The unique identifier of the cluster to update. The cluster must be in RUNNING or TERMINATED state.
• spark_confobject
  Spark configuration key-value pairs. Only applied if 'spark_conf' is in update_mask.
• custom_tagsobject
  Additional tags for cluster resources (max 45 tags). Only applied if 'custom_tags' is in update_mask.
• num_workersinteger
  Number of worker nodes. Use 0 for single-node clusters. Only applied if 'num_workers' is in update_mask.
• update_maskstring

  Required
  Comma-separated list of field paths to update (e.g., 'cluster_name', 'num_workers,autotermination_minutes'). Use dot notation for nested fields. Field paths are relative to the cluster resource.
• cluster_namestring
  Cluster name requested by the user. Only applied if 'cluster_name' is in update_mask.
• docker_imageobject
  Docker container configuration.
• init_scriptsarray
  Scripts executing during cluster startup. Only applied if 'init_scripts' is in update_mask.
• node_type_idstring
  Instance type for worker nodes. Only applied if 'node_type_id' is in update_mask.
• spark_versionstring
  The Spark version of the cluster (e.g., '11.3.x-scala2.12', '12.2.x-scala2.12'). Only applied if 'spark_version' is in update_mask.

• 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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No published Skills explicitly reference this Action yet.