Hi, I'm working on improving the search response of ES but not able to do anything. My scenario is something like this:
I'm using 3 ES queries to get relevant results for my autocompleter. 1. A function score query with a match query ( To get a correct match if user typed query is available in documents based on popularity) 2. A multi match query (To handle those scenarios in which a user types some text which is present in different fields in a document since my documents are multi fields like name, address, city, state, country ) 3. A query string (In order to ensure if I missed user query by the above type I'll be able to search using more powerful but less accurate query string) Along with all the 3 queries, I'm using 4 filters (clubbed using AND filter). My performance is really bad and I want to improve it along with delivering relevat results in my autocompleter. Can anyone help me how can I improve this ? Any way I can club the queries for better performance ? I have read that I BOOL filters should be used instead of AND filter since they use bitset which are cached internally. I think this makes one improvement because if in the first query ES stores the information of filters in bitset, it can reuse it in other two queries. That will make the thigs a little fast but based on queries, I'm not able to do any improvement ? Is there any way by which I can combine match and multi-match queries ( 1 and 2) into a single effective query. Also, in place of query_string should I use some other query for faster execution. Any suggestions are welcome. Thanks -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/5d99495b-20ef-46b6-a069-365574fdc0a9%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
