def delete_dataset(dataset_uuid=None, store=None, factory=None):
"""
Parameters
----------
"""
ds_factory = _ensure_factory(
dataset_uuid=dataset_uuid,
load_schema=False,
store=_make_callable(store),
factory=factory,
load_dataset_metadata=False,
)
# Remove possibly unreferenced files
garbage_collect_dataset(factory=ds_factory)
# Delete indices first since they do not affect dataset integrity
delete_indices(dataset_factory=ds_factory)
for metapartition in dispatch_metapartitions_from_factory(ds_factory):
metapartition = cast(MetaPartition, metapartition)
metapartition.delete_from_store(dataset_uuid=dataset_uuid, store=store)
# delete common metadata after partitions
delete_common_metadata(dataset_factory=ds_factory)
# Delete the top level metadata file
delete_top_level_metadata(dataset_factory=ds_factory)
def _delete_tl_metadata(dataset_factory, *args):
"""
This function serves as a collector function for delayed objects. Therefore
allowing additional arguments which are not used.
"""
delete_top_level_metadata(dataset_factory=dataset_factory)
