snowflake.core.table.Table¶
- class snowflake.core.table.Table(*, name: StrictStr, kind: StrictStr | None = None, cluster_by: ConstrainedListValue[StrictStr] | None = None, enable_schema_evolution: StrictBool | None = None, change_tracking: StrictBool | None = None, data_retention_time_in_days: StrictInt | None = None, max_data_extension_time_in_days: StrictInt | None = None, default_ddl_collation: StrictStr | None = None, columns: ConstrainedListValue[TableColumn] | None = None, constraints: ConstrainedListValue[Constraint] | None = None, comment: StrictStr | None = None, created_on: datetime | None = None, database_name: StrictStr | None = None, schema_name: StrictStr | None = None, rows: StrictInt | None = None, bytes: StrictInt | None = None, owner: StrictStr | None = None, dropped_on: datetime | None = None, automatic_clustering: StrictBool | None = None, search_optimization: StrictBool | None = None, search_optimization_progress: StrictInt | None = None, search_optimization_bytes: StrictInt | None = None, owner_role_type: StrictStr | None = None, budget: StrictStr | None = None)¶
Bases:
BaseModel
Attributes
- name: StrictStr¶
- kind: StrictStr | None¶
- cluster_by: Optional[conlist(StrictStr)]¶
- enable_schema_evolution: StrictBool | None¶
- change_tracking: StrictBool | None¶
- data_retention_time_in_days: StrictInt | None¶
- max_data_extension_time_in_days: StrictInt | None¶
- default_ddl_collation: StrictStr | None¶
- columns: Optional[conlist(TableColumn)]¶
- constraints: Optional[conlist(Constraint)]¶
- comment: StrictStr | None¶
- created_on: datetime | None¶
- database_name: StrictStr | None¶
- schema_name: StrictStr | None¶
- rows: StrictInt | None¶
- bytes: StrictInt | None¶
- owner: StrictStr | None¶
- dropped_on: datetime | None¶
- automatic_clustering: StrictBool | None¶
- search_optimization: StrictBool | None¶
- search_optimization_progress: StrictInt | None¶
- search_optimization_bytes: StrictInt | None¶
- owner_role_type: StrictStr | None¶
- budget: StrictStr | None¶
Methods
- __init__(**data: Any) None ¶
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
- classmethod construct(_fields_set: SetStr | None = None, **values: Any) Model ¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
- copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: DictStrAny | None = None, deep: bool = False) Model ¶
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters:
include – fields to include in new model
exclude – fields to exclude from new model, as with values this takes precedence over include
update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data
deep – set to True to make a deep copy of the model
- Returns:
new model instance
- dict(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny ¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- classmethod from_orm(obj: Any) Model ¶
- json(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = None, models_as_dict: bool = True, **dumps_kwargs: Any) str ¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
- classmethod parse_file(path: str | Path, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- classmethod parse_obj(obj: Any) Model ¶
- classmethod parse_raw(b: str | bytes, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model ¶
- classmethod schema(by_alias: bool = True, ref_template: str = '#/definitions/{model}') DictStrAny ¶
- classmethod schema_json(*, by_alias: bool = True, ref_template: str = '#/definitions/{model}', **dumps_kwargs: Any) str ¶
- to_dict()¶
Returns the dictionary representation of the model using alias
- to_json() str ¶
Returns the JSON representation of the model using alias
- to_str() str ¶
Returns the string representation of the model using alias
- classmethod update_forward_refs(**localns: Any) None ¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- classmethod validate(value: Any) Model ¶