Dataset Querying

When connected to an ODC Database, these methods are available for searching and querying:

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

get(id_[, include_sources])	Get dataset by id
search([limit, source_filter])	Perform a search, returning results as Dataset objects.
search_by_metadata(metadata)	Perform a search using arbitrary metadata, returning results as Dataset objects.
search_by_product(**query)	Perform a search, returning datasets grouped by product type.
search_eager(**query)	Perform a search, returning results as Dataset objects.
search_product_duplicates(product, *args)	Find dataset ids who have duplicates of the given set of field names.
search_returning(field_names[, limit])	Perform a search, returning only the specified fields.
search_summaries(**query)	Perform a search, returning just the search fields of each dataset.
has(id_)	Is this dataset in this index?
bulk_has(ids_)	Like has but operates on a multiple ids.
can_update(dataset[, updates_allowed])	Check if dataset can be updated.
count(**query)	Perform a search, returning count of results.
count_by_product(**query)	Perform a search, returning a count of for each matching product type.
count_by_product_through_time(period, **query)	Perform a search, returning counts for each product grouped in time slices of the given period.
count_product_through_time(period, **query)	Perform a search, returning counts for a single product grouped in time slices of the given period.
get_derived(id_)	Get all datasets derived from a dataset (NOT recursive)
get_field_names([product_name])	Get the list of possible search fields for a Product (or all products)
get_locations(id_)	Get (active) storage locations for the given dataset id
get_archived_locations(id_)	Get archived locations for a dataset
get_datasets_for_location(uri[, mode])	Find datasets that exist at the given URI