Use generators/iterator for granule query

[betolink]

If we are querying hundred of thousands of granules, we need to handle them in a more efficient way, perhaps implementing an iterator like

links = []
for g in Datagranules().concept_id("c-some-datasets").items():
    links.append(g.data_links())

This idea is that we'll only load the current page into memory instead of the whole number of granules in a collection query.

[chuckwondo]

As we've recently discussed during an earthaccess hack day, I'm going to create an issue in the python_cmr library for implementing this functionality upstream, so we don't duplicate the functionality here.

[asteiker]

Based on @chuckwondo 's comment above, we'll close this out since it will be worked over in python_cmr