Dataset Writing

When connected to an ODC Database, these methods are available for adding, updating and archiving datasets:

dc = Datacube()
dc.index.datasets.{method}

add(dataset[, with_lineage, archive_less_mature])	Add dataset to the index.
add_location(id_, uri)	Add a location to the dataset if it doesn't already exist.
archive(ids)	Mark datasets as archived
archive_location(id_, uri)	Archive a location of the dataset if it exists and is active.
remove_location(id_, uri)	Remove a location from the dataset if it exists.
restore(ids)	Mark datasets as not archived
restore_location(id_, uri)	Un-archive a location of the dataset if it exists.
update(dataset[, updates_allowed, ...])	Update dataset metadata and location :param Dataset dataset: Dataset model with unpersisted updates :type updates_allowed: Optional[Mapping[Tuple[Union[str, int], ...], Callable[[Tuple[Union[str, int], ...], Tuple[Union[str, int], ...], Union[MissingSentinel, str, int, None, Sequence[Any], Mapping[str, Any]], Union[MissingSentinel, str, int, None, Sequence[Any], Mapping[str, Any]]], bool]]] :param updates_allowed: Allowed updates :type archive_less_mature: Optional[int] :param archive_less_mature: Find and archive less mature datasets with ms delta :rtype: Dataset :return: Persisted dataset model