DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerCDCConfig

pydantic model openapi_client.models.datasource_flows_details_items_config_inner_item_details_inner_cdc_config.DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerCDCConfig

CDC settings for the layer when ProcessType includes CDC.

Fields:

• cdc_marker (int | None)

• custom_timestamp_column (str | None)

• enable_editor_tracking (bool | None)

• enable_global_id (bool | None)

field cdc_marker: Optional[StrictInt] = None (alias 'CDCMarker')

CDC high-water mark for the layer.

field custom_timestamp_column: Optional[StrictStr] = None (alias 'CustomTimestampColumn')

Custom timestamp column used for CDC tracking.

field enable_global_id: Optional[StrictBool] = None (alias 'EnableGlobalId')

Whether GlobalId tracking is enabled.

field enable_editor_tracking: Optional[StrictBool] = None (alias 'EnableEditorTracking')

Whether editor tracking fields are used for CDC.

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 DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerCDCConfig 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 DatasourceFlowsDetailsItemsConfigInnerItemDetailsInnerCDCConfig from a dict

Return type:

Optional[Self]