snowflake.core.dynamic_table.DynamicTableClone¶
- class snowflake.core.dynamic_table.DynamicTableClone(*, name: Annotated[str, Strict(strict=True)], target_lag: TargetLag | None = None, warehouse: Annotated[str, Strict(strict=True)] | None = None, point_of_time: PointOfTime | None = None)¶
- Bases: - BaseModel- A model object representing the DynamicTableClone resource. - Constructs an object of type DynamicTableClone with the provided properties. - Parameters:
- name (str) – Specifies the name for the dynamic table, must be unique for the schema in which the dynamic table is created 
- target_lag (TargetLag, optional) 
- warehouse (str, optional) – Specifies the name of the warehouse that provides the compute resources for refreshing the dynamic table 
- point_of_time (PointOfTime, optional) 
 
 - Create a new model by parsing and validating input data from keyword arguments. - Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model. - self is explicitly positional-only to allow self as a field name. - Methods - classmethod from_dict(obj: dict) DynamicTableClone¶
- Create an instance of DynamicTableClone from a dict. 
 - classmethod from_json(json_str: str) DynamicTableClone¶
- Create an instance of DynamicTableClone from a JSON string. 
 - to_dict(hide_readonly_properties: bool = False) dict[str, Any]¶
- Returns the dictionary representation of the model using alias. 
 - to_dict_without_readonly_properties() dict[str, Any]¶
- Return the dictionary representation of the model without readonly properties. 
 - to_json() str¶
- Returns the JSON representation of the model using alias. 
 - to_str() str¶
- Returns the string representation of the model using alias.