Can you elaborate on how you're measuring and comparing these response times and why you feel they are slow? It might also help if you can put a sample query and document into a gist/pastebin
Also, is your cluster under load when you run these queries? What metrics are you gathering around that side? Regards, Mark Walkom Infrastructure Engineer Campaign Monitor email: ma...@campaignmonitor.com web: www.campaignmonitor.com On 12 July 2014 05:01, coder <mukulnit...@gmail.com> wrote: > Hi Jörg, > > I have seen these links. I'm using ngram tokenizer. Issue which I'm facing > is slow response time. For that I need some suggestions, how can I improve > it ? Is there anyway by which I can query in a better way ? Also, I'm using > a match query in a field in one of my filters but I have read that term > filters are more effective. Can you give me some insight how can I use term > filter in this case even if the field on which I want to apply the filter > is not present in all the documents. > > Thanks > > > On Saturday, 12 July 2014 00:09:50 UTC+5:30, Jörg Prante wrote: > >> For autocompletion, you should use the completion suggester >> >> http://www.elasticsearch.org/guide/en/elasticsearch/ >> reference/current/search-suggesters-completion.html >> >> or edge ngram tokenizer >> >> http://www.elasticsearch.org/guide/en/elasticsearch/ >> reference/current/analysis-edgengram-tokenizer.html >> >> Jörg >> >> >> On Fri, Jul 11, 2014 at 8:11 PM, coder <mukul...@gmail.com> wrote: >> >>> 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 elasticsearc...@googlegroups.com. >>> >>> To view this discussion on the web visit https://groups.google.com/d/ >>> msgid/elasticsearch/5d99495b-20ef-46b6-a069-365574fdc0a9% >>> 40googlegroups.com >>> <https://groups.google.com/d/msgid/elasticsearch/5d99495b-20ef-46b6-a069-365574fdc0a9%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> For more options, visit https://groups.google.com/d/optout. >>> >> >> -- > 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/741a7bc5-ffd7-4ba7-9296-ff6fff8f559f%40googlegroups.com > <https://groups.google.com/d/msgid/elasticsearch/741a7bc5-ffd7-4ba7-9296-ff6fff8f559f%40googlegroups.com?utm_medium=email&utm_source=footer> > . > > For more options, visit https://groups.google.com/d/optout. > -- 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/CAEM624ZJUXjDVyXFtQSB0-0Mghf5FHC%2Bmm%2BiJUiSCjKJtPDCbg%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
