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Answering question 3 at scale

If we had a very large dataset and we don't care about the ordering of the results, we can use a a kind of map reduce approach, convert the ids first into a set of integers using an async background task active job (though I'd probably use a lambda) with a cleaned list, again ordering must not matter

We can unique the very large list by using a hash or other approach that remains performant. With a unique list returning the specialties from a dictionary, a hash, or even a database lookup would be reasonably performant for most cases

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