I wonder if you could increase the precision of your result set to reduce its size? If you have 10M results for a query but only the first 10K deserve to be represented by the faceting, what is it about those 10K that makes them better than the other 9.99M? For example if some items are boosted by some attribute(s) to get higher scores, can you filter out items that don't have those attributes? Also, maybe setting mm to require more terms to match could cut out unwanted results (that's not useful for the "dog" query of course).
Andy On Fri, 4 Dec 2020 at 06:43, Radu Gheorghe <radu.gheor...@sematext.com> wrote: > > > On 3 Dec 2020, at 20:18, Shawn Heisey <apa...@elyograg.org> wrote: > > > > On 12/3/2020 9:55 AM, Jae Joo wrote: > >> Is there any way to apply facet to the partial search result? > >> For ex, we have 10m return by "dog" and like to apply facet to first > 10K. > >> Possible? > > > > The point of facets is to provide accurate numbers. > > > > What would it mean to only apply to the first 10K? If there are 10 > million documents in the query results that contain "dog" then the facet > should say 10 million, not 10K. I do not understand what you're trying to > do. > > > > Maybe sampling? I’m not aware of a built-in way to do that. But you could > index a random float between, say 0 and 100 and then filter out a sample by > filtering for number<X to keep only X% of the data set. > > Or maybe you’d think that faceting on 10K would be enough (e.g. if you > don’t need the numbers, just some unique values). But I really don’t see a > good solution to that - you’d have to terminateEarly and do faceting > somehow… > > Best regards, > Radu > >
