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Edit Cluster Configuration and Verify

A 3-step recipe with Databricks. We can help you get access.

Recipe · 3 steps

Edit Cluster Configuration and Verify

with Databricks · IT Infrastructure Management

Edit a cluster's configuration and confirm it returns to RUNNING.

  1. Read the current cluster configuration to reuse its spark version and node type on the edit request.
  2. Apply the edited configuration. Editing a running cluster restarts it to apply the changes.
  3. Read the cluster status and inspect the life cycle state. Loop back while the cluster is RESTARTING or PENDING; finish once it is RUNNING.
What you'll need to have ready
  • cluster_id: The cluster to edit.
  • cluster_name: The cluster name to set on the edited configuration.
  • num_workers: The new number of worker nodes.
  • autotermination_minutes: The new idle auto-termination window in minutes.
For your developer

Arazzo workflow databricks:edit-cluster-and-verify, 3 operations: getCluster → editCluster → getCluster. Specs on APIs.io.

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