Hello,
Environment: - SolrCloud 8.4.1 - 4 shards with xmx = 120GO and ssd disks - 50M documents / 40GO physical per shard - mainly large texts fields and also, one multivalue/docvalue/indexed string list of 15 values per document Goal: I want to provide terms facet on a string multivalue field. This offers the client to build dynamic word cloud depending on filter queries. The words within the array are extracted with TFIDF from large raw texts from neightbourg fields. Behavior: The computing time is below 2 seconds when the FQ query is selective enough (<2M). However it results as a timeout when the FQ finds > 2M documents Question: How to improve brute performances ? I tried: - facet.limit / facet.threads / facet.method - limiting the multivalue size (from 50 elements per documents to 15) Is ther any parameter I am missing ? Thought: If there is now way to faster performances for the brute task, I guess I could artificially limit the FQ under 2M for all queries by getting a sample (I don't really care having more than 2M documents to build the word cloud). I am wondering how I could filter the documents to get approximate facets ? Thanks ! -- nicolas paris
