Hi Yonik, Any update on sampling based facets. The current faceting is really slow for fields with high cardinality even with method=uif. Or are there alternative work-arounds to only look at N docs when computing facets?
On Fri, Nov 4, 2016 at 4:43 PM, Yonik Seeley <ysee...@gmail.com> wrote: > Sampling has been on my TODO list for the JSON Facet API. > How much it would help depends on where the bottlenecks are, but that > in conjunction with a hashing approach to collection (assuming field > cardinality is high) should definitely help. > > -Yonik > > > On Fri, Nov 4, 2016 at 3:02 PM, John Davis <johndavis925...@gmail.com> > wrote: > > Hi, > > I am trying to improve the performance of queries with facets. I > understand > > that for queries with high facet cardinality and large number results the > > current facet computation algorithms can be slow as they are trying to > loop > > across all docs and facet values. > > > > Does there exist an option to compute facets by just looking at the top-n > > results instead of all of them or a sample of results based on some query > > parameters? I couldn't find one and if it does not exist, has this come > up > > before? This would definitely not be a precise facet count but using > > reasonable sampling algorithms we should be able to extrapolate well. > > > > Thank you in advance for any advice! > > > > John >
