faceted-search

I want to compute facet counts for a facet query UI but I think I am missing something as I am unable to get the numbers I need using facet filters. Here's an example. Given two facets with three possible terms in each facet: Colors: {red, yellow, blue} Notes: {do, re, mi} When I do a search, the counts for each term in a facet do not take into account the filters set in the other facet. To illustrate: [ ] All colors (18) [x] Red (10) [ ] Green (5) [ ] Blue (3) [ ] All notes (18) [ ] Do (5) [x] Re (7) [ ] Mi (6) Note that the totals within each facet sum to the total number of hits for the

The only close thing that I've found was: Multiple group-by in Elasticsearch Basically I'm trying to get the ES equivalent of the following MySql query: select gender, age_range, count(distinct profile_id) as count FROM TABLE group by age_range, gender The age and gender by themselves were easy to get: { "query": { "match_all": {} }, "facets": { "ages": { "terms": { "field": "age_range", "size": 20 } }, "gender_by_age": { "terms": { "fields": [ "age_range", "gender" ] } } }, "size": 0 } which gives: { "ages": { "_type": "terms", "missing": 0, "total": 193961, "other": 0, "terms": [ { "term": 0

I've been looking into faceted search with Lucene.NET, I've found a brilliant example here which explains a fair amount, apart from the fact that it completely overlooks the function which checks the cardinality of items in a bit array. Can anyone give me a run down of what it is doing? The main things I don't understand is why the bitsSetArray is created as it is, what it is used for and how all the if statements work in the for loop. This may be a big ask but I have to understand how this works before I can even think of using it in my own code. Thanks public static int GetCardinality

I'm attempting to find related tags to the one currently being viewed. Every document in our index is tagged. Each tag is formed of two parts - an ID and text name: { ... meta: { ... tags: [ { id: 123, name: 'Biscuits' }, { id: 456, name: 'Cakes' }, { id: 789, name: 'Breads' } ] } } To fetch the related tags I am simply querying the documents and getting an aggregate of their tags: { "query": { "bool": { "must": [ { "match": { "item.meta.tags.id": "123" } }, { ... } ] } }, "aggs": { "baked_goods": { "terms": { "field": "item.meta.tags.id", "min_doc_count": 2 } } } } This works perfectly, I am

I need to return only the facet counts from solr. So I basically want to search over all documents and return the facet counts, but I don't want to return any search results. Is this possible? Thanks nialloc Setting facet=true will enable faceting and setting rows=0 will prevent any results being returned. Conveniently the numFound will show you how many results were found. Ryan I guess the obvious solution would be to search using a wildcard and specify that you want zero results returned. That's my solution so far. So, from what I have understood if I need to get facets count for all