I have an issue where "speakers" is split into "speaker" and "s",
when I compute the distances for the Typo criterion,
it takes "s" into account and put a distance of zero in the bucket 0
(the "speakers" bucket), therefore it reports any document matching "s"
without typos as best results.
I need to make sure to ignore "s" when its associated part "speaker"
doesn't even exist in the document and is not in the place
it should be ("speaker" followed by "s").
This is hard to think that it will had much computation time to
the Typo criterion like in the previous algorithm where I computed
the real query/words indexes based and removed the invalid ones
before sending the documents to the bucket sort.
Removing the fields_count fetching reduced by 2 times the serach time, we should look at lazily pulling them form the criterions in needs
ugly-test: Make the fields_count fetching lazy
Just before running the exactness criterion
