WLMQueueConfig

pydantic model openapi_client.models.wlm_queue_config.WLMQueueConfig

WLMQueueConfig

Fields:
field wlm_queue_name: Optional[StrictStr] = None (alias 'WLMQueueName')
field query_groups: Optional[List[StrictStr]] = None (alias 'QueryGroups')
field user_groups: Optional[List[StrictStr]] = None (alias 'UserGroups')
field auto_wlm: Optional[StrictBool] = None (alias 'AutoWLM')
field queue_type: Optional[StrictStr] = None (alias 'QueueType')
field concurrency_scaling: Optional[StrictStr] = None (alias 'ConcurrencyScaling')
field priority: Optional[StrictStr] = None (alias 'Priority')
field description: Optional[StrictStr] = None (alias 'Description')
field query_monitoring_rules: Optional[List[QMRules]] = None (alias 'QueryMonitoringRules')
field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')
field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')
field created_by: Optional[StrictStr] = None (alias 'CreatedBy')
to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of WLMQueueConfig from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of WLMQueueConfig from a dict

Return type:

Optional[Self]