snowflake.core.dynamic_table.DynamicTableCollection¶

class snowflake.core.dynamic_table.DynamicTableCollection(schema: SchemaResource)¶

Bases: SchemaObjectCollectionParent[DynamicTableResource]

Represents the collection operations on the Snowflake Dynamic Table resource.

With this collection, you can create, iterate through, and search for dynamic tables that you have access to in the current context.

Examples

Creating a dynamic table instance:

>>> dynamic_tables = root.databases["my_db"].schemas["my_schema"].dynamic_tables
>>> dynamic_tables.create(
...     DynamicTable(
...        name="my_dynamic_table",
...        columns=[
...            DynamicTableColumn(name="c1"),
...            DynamicTableColumn(name='"cc2"', datatype="varchar"),
...        ],
...        warehouse=db_parameters["my_warehouse"],
...        target_lag=UserDefinedLag(seconds=60),
...        query="SELECT * FROM my_table",
...    ),
...    mode=CreateMode.error_if_exists,
... )
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Attributes

database¶
root¶

Methods

create(table: DynamicTable | DynamicTableClone | str, *, clone_table: str | Clone | None = None, copy_grants: bool | None = False, mode: CreateMode = CreateMode.error_if_exists) → DynamicTableResource¶

Create a dynamic table.

Parameters:

  • table (DynamicTable | DynamicTableClone | str) –

    1. The DynamicTable object, together with the dynamic table’s properties:

      name, target_lag, warehouse, query; columns, refresh_mode, initialize, cluster_by, comment are optional.

    2. The DynamicTableClone object, when it’s used with clone_table.

    3. The table name.

  • clone_table (Clone, optional) – The source table to clone from.

  • copy_grants (bool, optional) – Whether to enable copy grants when creating the object. Default is False.

  • mode (CreateMode, optional) –

    One of the following enum values.

    CreateMode.error_if_exists: Throw an snowflake.core.exceptions.ConflictError if the dynamic table already exists in Snowflake. Equivalent to SQL create dynamic table <name> ....

    CreateMode.or_replace: Replace if the dynamic table already exists in Snowflake. Equivalent to SQL create or replace dynamic table <name> ....

    CreateMode.if_not_exists: Do nothing if the dynamic table already exists in Snowflake. Equivalent to SQL create dynamic table <name> if not exists...

    Default is CreateMode.error_if_exists.

Examples

Creating a dynamic table, replacing any existing dynamic table with the same name:

>>> dynamic_tables = root.databases["my_db"].schemas["my_schema"].dynamic_tables
>>> dynamic_tables.create(
...     DynamicTable(
...        name="my_dynamic_table",
...        columns=[
...            DynamicTableColumn(name="c1"),
...            DynamicTableColumn(name='"cc2"', datatype="varchar"),
...        ],
...        warehouse=db_parameters["my_warehouse"],
...        target_lag=UserDefinedLag(seconds=60),
...        query="SELECT * FROM my_table",
...    ),
...    mode=CreateMode.error_if_exists,
... )
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Creating a dynamic table by cloning an existing table:

>>> dynamic_tables = root.databases["my_db"].schemas["my_schema"].dynamic_tables
>>> dynamic_tables.create(
...     DynamicTableClone(
...         name="my_dynamic_table",
...         target_lag=UserDefinedLag(seconds=120),
...     ),
...     clone_table=Clone(
...         source="my_source_dynamic_table",
...         point_of_time=PointOfTimeOffset(reference="before", when="-1")
...     ),
...     copy_grants=True,
... )
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Creating a dynamic table by cloning an existing table in a different database and schema:

>>> dynamic_tables = root.databases["my_db"].schemas["my_schema"].dynamic_tables
>>> dynamic_tables.create(
...     DynamicTableClone(
...         name="my_dynamic_table",
...         target_lag=UserDefinedLag(seconds=120),
...     ),
...     clone_table=Clone(
...         source="database_of_source_table.schema_of_source_table.my_source_dynamic_table",
...         point_of_time=PointOfTimeOffset(reference="before", when="-1")
...     ),
...     copy_grants=True,
... )
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items() → ItemsView[str, T]¶
iter(*, like: str | None = None, starts_with: str | None = None, limit: int | None = None, from_name: str | None = None, deep: bool = False) → Iterator[DynamicTable]¶

Iterate through DynamicTable objects from Snowflake, filtering on any optional ‘like’ pattern.

Parameters:

  • like (str, optional) – A case-insensitive string functioning as a filter, with support for SQL wildcard characters (% and _).

  • starts_with (str, optional) – String used to filter the command output based on the string of characters that appear at the beginning of the object name. Uses case-sensitive pattern matching.

  • show_limit (int, optional) – Limit of the maximum number of rows returned by iter(). The default is None, which behaves equivalently to show_limit=10000. This value must be between 1 and 10000.

  • from_name (str, optional) – Fetch rows only following the first row whose object name matches the specified string. This is case-sensitive and does not have to be the full name.

  • deep (bool, optional) – Optionally includes dependency information of the dynamic table. Default is None, which is equivalent to False.

Examples

Showing all dynamic tables that you have access to see:

>>> dynamic_tables = dynamic_table_collection.iter()
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Showing information of the exact dynamic table you want to see:

>>> dynamic_tables = dynamic_table_collection.iter(like="your-dynamic-table-name")
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Showing dynamic tables starting with ‘your-dynamic-table-name-‘:

>>> dynamic_tables = dynamic_table_collection.iter(like="your-dynamic-table-name-%")
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Using a for loop to retrieve information from iterator:

>>> for dynamic_table in dynamic_tables:
...     print(dynamic_table.name, dynamic_table.query)
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keys() → KeysView[str]¶
values() → ValuesView[T]¶
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