Databricks Compute Instance Pools Create

• disk_specobject
  Specification of disks attached to all spark containers.
• custom_tagsobject
  Additional tags for pool resources. Databricks will tag all pool resources with these tags in addition to default_tags. Currently allows at most 43-45 custom tags
• max_capacityinteger
  Maximum number of outstanding instances to keep in the pool, including both instances used by clusters and idle instances. Clusters that require further instance provisioning will fail during upsize requests
• node_type_idstring

  Required
  Encodes the resources available to each Spark node (e.g., i3.xlarge, m5.large). A list of available node types can be retrieved using the List Node Types API
• aws_attributesobject
  AWS-specific attributes for the instance pool.
• gcp_attributesobject
  GCP-specific attributes for the instance pool.
• azure_attributesobject
  Azure-specific attributes for the instance pool.
• instance_pool_namestring

  Required
  Pool name requested by the user. Pool name must be unique. Length must be between 1 and 100 characters
• min_idle_instancesinteger
  Minimum number of idle instances to keep in the instance pool. This is in addition to any instances in use by active clusters
• enable_elastic_diskboolean
  Autoscaling Local Storage: when enabled, instances in this pool will dynamically acquire additional disk space when Spark workers are running low on disk space. In AWS, requires specific AWS permissions
• remote_disk_throughputinteger
  GCP HYPERDISK throughput in Mb/s
• preloaded_docker_imagesarray
  Custom Docker Image BYOC. Pool-backed clusters can use one of the preloaded images if it matches the docker_image specified in the create-cluster request

• 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.