TriggerDataloadResponse

pydantic model openapi_client.models.trigger_dataload_response.TriggerDataloadResponse

Success body for trigger_iceberg_dataload_job_on_dataset. Async load has been started in the background.

Fields:

• dataset_id (str | None)

• message (str | None)

field message: Optional[StrictStr] = None (alias 'Message')

Confirmation that the framework dataload started. Pattern: “{Iceberg|Hudi|Deltalake} dataload started successfully and running in background” (framework from query type, capitalized).

field dataset_id: Optional[StrictStr] = None (alias 'DatasetId')

Dataset ID from the path that the dataload was started for

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 TriggerDataloadResponse 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 TriggerDataloadResponse from a dict

Return type:

Optional[Self]