catalog_workspace.

clone_workspace

clone_workspace(source_workspace_id: str, target_workspace_id: str, target_workspace_name: str, overwrite_existing: bool, data_source_mapping: dict, upper_case: bool, place_in_hierarchy: bool)

Clone workspace from existing workspace.

Clones complete workspace content - LDM, ADM, permissions.

If the target workspace already exists, it’s content is overwritten. This can be useful when testing changes in the clone

once you are satisfied, you can clone it back to the origin workspace. For the safety, you have to enforce this behavior by the dedicated input argument overwrite_existing.

Beware of workspace data filters - after the clone you have to set WDF value for the new workspace.

Parameters

name	type	description
source_workspace_id	str	Source workspace ID, from which we wanna create a clone
target_workspace_id	str	Target workspace ID, where we wanna clone the source workspace Optional, if empty, we generate _clone
target_workspace_name	str	Target workspace name Optional, if empty, we generate (Clone)
overwrite_existing	bool	Overwrite existing workspace.
data_source_mapping	dict	Optional, allows users to map LDM to different data source ID
upper_case	bool	Optional, allows users to change the case of all physical object IDs (table names, columns names) True changes it to upper-case, False to lower-case, None(default) is noop Useful when migrating to Snowflake, which is the only DB with upper-case default.
place_in_hierarchy	bool	Place in the hierarchy of the source parent workspace.

Returns

None

Example

# Clones complete workspace content - LDM, ADM, permissions.
sdk.catalog_workspace.clone_workspace(
        source_workspace_id="123",
        target_workspace_id="xyz",
        target_workspace_name="Demo"
)

get_workspace

delete_workspace