bq: It is a bit surprising why facet computation is so slow even when the query matches hundreds of docs.
The number of terms in the field over all docs also comes into play. Say you're faceting over a field that has 100,000,000 unique values across all docs, that's a lot of bookkeeping. Best, Erick On Tue, Oct 24, 2017 at 1:08 AM, Emir Arnautović <emir.arnauto...@sematext.com> wrote: > Hi John, > Did you mean “docValues don’t work for analysed fields” since it works for > multivalue string (or other supported types) fields. What you need to do is > to convert your analysed field to multivalue string field - that requires > changes in indexing flow. > > HTH, > Emir > -- > Monitoring - Log Management - Alerting - Anomaly Detection > Solr & Elasticsearch Consulting Support Training - http://sematext.com/ > > > >> On 23 Oct 2017, at 21:08, John Davis <johndavis925...@gmail.com> wrote: >> >> Docvalues don't work for multivalued fields. I just started a separate >> thread with more debug info. It is a bit surprising why facet computation >> is so slow even when the query matches hundreds of docs. >> >> On Mon, Oct 23, 2017 at 6:53 AM, alessandro.benedetti <a.benede...@sease.io> >> wrote: >> >>> Hi John, >>> first of all, I may state the obvious, but have you tried docValues ? >>> >>> Apart from that a friend of mine ( Diego Ceccarelli) was discussing a >>> probabilistic implementation similar to the hyperloglog[1] to approximate >>> facets counting. >>> I didn't have time to take a look in details / implement anything yet. >>> But it is on our To Do list :) >>> He may add some info here. >>> >>> Cheers >>> >>> >>> >>> >>> [1] >>> https://blog.yld.io/2017/04/19/hyperloglog-a-probabilistic-data-structure/ >>> >>> >>> >>> ----- >>> --------------- >>> Alessandro Benedetti >>> Search Consultant, R&D Software Engineer, Director >>> Sease Ltd. - www.sease.io >>> -- >>> Sent from: http://lucene.472066.n3.nabble.com/Solr-User-f472068.html >>> >
