GlueDatasourceNode

pydantic model openapi_client.models.glue_datasource_node.GlueDatasourceNode

Glue datasource. Requires IngestionType and Resource.

Fields:
field module_type: StrictStr [Required] (alias 'ModuleType')
Constraints:
  • strict = True

field node_name: StrictStr [Required] (alias 'NodeName')
Constraints:
  • strict = True

field ingestion_type: StrictStr [Required] (alias 'IngestionType')
Constraints:
  • strict = True

field resource: DataPipelineResourceRef [Required] (alias 'Resource')
field arguments: Optional[Dict[str, Any]] = None (alias 'Arguments')
field timeout: Optional[StrictInt] = None (alias 'Timeout')

Optional Glue job timeout in minutes when the node runs a job.

field notification_configuration: Optional[List[DataPipelinesNotificationConfigurationInner]] = None (alias 'NotificationConfiguration')

List of notification configurations for data pipeline events.

field compute_resource: Optional[Dict[str, Any]] = None (alias 'ComputeResource')

Optional Glue worker sizing when the node runs a job.

field additional_properties: Dict[str, Any] = {}
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 GlueDatasourceNode 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.

  • Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of GlueDatasourceNode from a dict

Return type:

Optional[Self]