Azure Databricks · Schema

ClusterInfo

AnalyticsApache SparkBig DataData EngineeringMachine Learning

Properties

Name Type Description
cluster_id string Canonical identifier for the cluster
cluster_name string Name of the cluster
spark_version string Databricks Runtime version
node_type_id string Node type for worker nodes
driver_node_type_id string Node type for the driver node
num_workers integer Number of worker nodes
state string Current state of the cluster
state_message string Message associated with the current state
creator_user_name string Username of the cluster creator
start_time integer Time when the cluster was started (epoch milliseconds)
terminated_time integer Time when the cluster was terminated (epoch milliseconds)
last_state_loss_time integer Time when the cluster driver lost its state (epoch milliseconds)
last_activity_time integer Time when the cluster last had activity (epoch milliseconds)
autotermination_minutes integer Automatically terminates the cluster after it is inactive for this time in minutes. 0 indicates no autotermination.
cluster_source string Indicates the source that created the cluster
spark_conf object Spark configuration key-value pairs
custom_tags object
init_scripts array
spark_env_vars object
enable_elastic_disk boolean
instance_pool_id string
policy_id string
default_tags object Tags applied automatically by Databricks
cluster_log_status object
termination_reason object
data_security_mode string
single_user_name string
runtime_engine string
disk_spec object
executors array
jdbc_port integer Port on which the JDBC/ODBC server is listening
cluster_memory_mb integer Total memory in the cluster in megabytes
cluster_cores number Total number of CPU cores in the cluster
View JSON Schema on GitHub