Hi, I have a surprising performance issue with the 'unique' function in a json facet
My setup holds large amount of docs (~1B), despite this large number I only facet on a small result set of a query, only a few docs. The query itself returns as fast as expected, but when I try to do a unique count on one of the fields using json.facet the query takes much longer. Facet time remains constant when I try to do it over a much larger set of docs. This leads me to believe that this unique count actually depends on overall field cardinality and not the cardinality in the result set. Am I right? This phenomena occurs both in a high level facet, and a sub facet calculation, which I actually interested in. Is there a way to facet, and sub-facet over a field with overall high cardinality, but small cardinality in the result set? My setup is Solr 6.0 in a Datastax Enterprise cluster example queries: Thanks, Alex -- Sent from: http://lucene.472066.n3.nabble.com/Solr-User-f472068.html
