Skip to content
This repository has been archived by the owner on Jun 13, 2023. It is now read-only.

Latest commit

 

History

History
42 lines (34 loc) · 4.39 KB

TerminationParameter.md

File metadata and controls

42 lines (34 loc) · 4.39 KB

TerminationParameter

Properties

Name Type Description Notes
username str The username of the user who terminated the cluster. [optional]
aws_api_error_code str The AWS provided error code describing why cluster nodes could not be provisioned. For example, `InstanceLimitExceeded` indicates that the limit of EC2 instances for a specific instance type has been exceeded. For reference, see: <https://docs.aws.amazon.com/AWSEC2/latest/APIReference/query-api-troubleshooting.html>. [optional]
aws_instance_state_reason str The AWS provided state reason describing why the driver node was terminated. For example, `Client.VolumeLimitExceeded` indicates that the limit of EBS volumes or total EBS volume storage has been exceeded. For reference, see <https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_StateReason.html>. [optional]
aws_spot_request_status str Describes why a spot request could not be fulfilled. For example, `price-too-low` indicates that the max price was lower than the current spot price. For reference, see: <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/spot-bid-status.html#spot-instance-bid-status-understand>. [optional]
aws_spot_request_fault_code str Provides additional details when a spot request fails. For example `InsufficientFreeAddressesInSubnet` indicates the subnet does not have free IP addresses to accommodate the new instance. For reference, see <https://docs.aws.amazon.com/cli/latest/reference/ec2/describe-spot-instance-requests.html>. [optional]
aws_impaired_status_details str The AWS provided status check which failed and induced a node loss. This status may correspond to a failed instance or system check. For reference, see <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-system-instance-status-check.html>. [optional]
aws_instance_status_event str The AWS provided scheduled event (for example reboot) which induced a node loss. For reference, see <https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-instances-status-check_sched.html>. [optional]
aws_error_message str Human-readable context of various failures from AWS. This field is unstructured, and its exact format is subject to change. [optional]
databricks_error_message str Additional context that may explain the reason for cluster termination. This field is unstructured, and its exact format is subject to change. [optional]
inactivity_duration_min str An idle cluster was shut down after being inactive for this duration. [optional]
instance_id str The ID of the instance that was hosting the Spark driver. [optional]
instance_pool_id str The ID of the instance pool the cluster is using. [optional]
instance_pool_error_code str The error code for cluster failures specific to a pool. [optional]
azure_error_code str The Azure provided error code describing why cluster nodes could not be provisioned. For reference, see: https://docs.microsoft.com/azure/virtual-machines/windows/error-messages. [optional]
azure_error_message str Human-readable context of various failures from Azure. This field is unstructured, and its exact format is subject to change. [optional]

Example

from databricks_jobs.models.termination_parameter import TerminationParameter

# TODO update the JSON string below
json = "{}"
# create an instance of TerminationParameter from a JSON string
termination_parameter_instance = TerminationParameter.from_json(json)
# print the JSON string representation of the object
print TerminationParameter.to_json()

# convert the object into a dict
termination_parameter_dict = termination_parameter_instance.to_dict()
# create an instance of TerminationParameter from a dict
termination_parameter_form_dict = termination_parameter.from_dict(termination_parameter_dict)

[Back to Model list] [Back to API list] [Back to README]