snowflake.core.table.Table¶
- class snowflake.core.table.Table(*, name: Annotated[str, Strict(strict=True)], kind: Annotated[str, Strict(strict=True)] | None = 'PERMANENT', cluster_by: List[Annotated[str, Strict(strict=True)]] | None = None, enable_schema_evolution: Annotated[bool, Strict(strict=True)] | None = None, change_tracking: Annotated[bool, Strict(strict=True)] | None = None, data_retention_time_in_days: Annotated[int, Strict(strict=True)] | None = None, max_data_extension_time_in_days: Annotated[int, Strict(strict=True)] | None = None, default_ddl_collation: Annotated[str, Strict(strict=True)] | None = None, columns: List[TableColumn] | None = None, constraints: List[Constraint] | None = None, comment: Annotated[str, Strict(strict=True)] | None = None, created_on: datetime | None = None, database_name: Annotated[str, Strict(strict=True)] | None = None, schema_name: Annotated[str, Strict(strict=True)] | None = None, rows: Annotated[int, Strict(strict=True)] | None = None, bytes: Annotated[int, Strict(strict=True)] | None = None, owner: Annotated[str, Strict(strict=True)] | None = None, dropped_on: datetime | None = None, automatic_clustering: Annotated[bool, Strict(strict=True)] | None = None, search_optimization: Annotated[bool, Strict(strict=True)] | None = None, search_optimization_progress: Annotated[int, Strict(strict=True)] | None = None, search_optimization_bytes: Annotated[int, Strict(strict=True)] | None = None, owner_role_type: Annotated[str, Strict(strict=True)] | None = None, budget: Annotated[str, Strict(strict=True)] | None = None, table_type: Annotated[str, Strict(strict=True)] | None = None)¶
Bases:
BaseModel
A model object representing the Table resource.
Constructs an object of type Table with the provided properties.
- Parameters:
name (str) – Specifies the name for the table, must be unique for the schema in which the table is created
kind (str, default 'PERMANENT') – Table type - permanent, transient, or temporary
cluster_by (List[str], optional) – Specifies one or more columns or column expressions in the table as the clustering key
enable_schema_evolution (bool, optional) – Table has schema evolution enabled or disabled
change_tracking (bool, optional) – Change tracking is enabled or disabled
data_retention_time_in_days (int, optional) – Specifies the retention period for the table so that Time Travel actions SELECT, CLONE, UNDROP can be performed on historical data in the table
max_data_extension_time_in_days (int, optional) – Specifies the retention period for the table so that Time Travel actions SELECT, CLONE, UNDROP can be performed on historical data in the table
default_ddl_collation (str, optional) – Specifies a default collation specification for the columns in the table, including columns added to the table in the future
columns (List[TableColumn], optional)
constraints (List[Constraint], optional)
comment (str, optional) – Comment for the table
created_on (datetime, optional) – Date and time when the table was created.
database_name (str, optional) – Database in which the table is stored
schema_name (str, optional) – Schema in which the table is stored
rows (int, optional) – Number of rows in the table. Returns NULL for external tables.
bytes (int, optional) – Number of bytes that will be scanned if the entire table is scanned in a query. Note that this number may be different than the number of actual physical bytes stored on-disk for the table
owner (str, optional) – Role that owns the table
dropped_on (datetime, optional) – Date and time when the table was dropped
automatic_clustering (bool, optional) – If Automatic Clustering is enabled for your account, specifies whether it is explicitly enabled or disabled for the table.
search_optimization (bool, optional) – If ON, the table has the search optimization service enabled
search_optimization_progress (int, optional) – Percentage of the table that has been optimized for search.
search_optimization_bytes (int, optional) – Number of additional bytes of storage that the search optimization service consumes for this table
owner_role_type (str, optional) – The type of role that owns the object.
budget (str, optional) – Name of the budget if the object is monitored by a budget
table_type (str, optional) – Type of the table
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
- 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.