yep, as Isabel mentioned, you should use *dfs_query_then_fetch* search type (it is slower doo)
On Monday, February 17, 2014 3:23:27 PM UTC, Vallabh Bothre wrote: > > Thanks Karol for replying, > > As per your suggestion i used search type which execute the query on all > relevant shards and return the results. > "search_type" => "query_then_fetch" > > But still i am getting different score for same keyword. > > On Monday, February 17, 2014 4:50:51 PM UTC+5:30, Karol Gwaj wrote: >> >> your query runs in parallel on multiple shards and score you seeing is >> computed independently on every shard >> the default similarity is tf/idf based, which means it is using terms >> frequency across all documents (so your score on the shard will depend on >> data on this shard) >> for score to be this same, every shard will have to have more or less >> this same documents >> >> you can change search_type to compute score when combining results from >> shards (slower): >> >> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-request-search-type.html >> >> also check this out (to learn more about similarity algorithms used by >> elasticsearch): >> >> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules-similarity.html >> >> because you are searching for user names, it is possible that you could >> wrap your query in constant (or function) score query and settle for less >> granular scoring: >> >> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-function-score-query.html >> >> >> Cheers, >> Karol Gwaj >> >> >> On Monday, February 17, 2014 11:00:47 AM UTC, Vallabh Bothre wrote: >>> >>> Dear Friends, >>> >>> I am using phonetic analysis in elasticsearch to search best results. >>> >>> When i search keyword lets say "McDonald" elastic search returns many >>> listings with "McDonald's" but some of these have differrent scores. >>> >>> I am manipulating results based on score and due to this difference its >>> affecting my functionality. >>> >>> All returned listings with "McDonald" have same case and are exact. >>> >>> For Ex: >>> *Name score* >>> McDonald's *5.8059134* >>> McDonald's 5.8059134 >>> McDonald's 5.8059134 >>> McDonald's *5.7834973* >>> McDonald's 5.7834973 >>> McDonald's *5.4078074* >>> >>> >>> As shown in example above there are 3 different scores which are >>> highlighted. >>> >>> Any help is very much appreciated. >>> >>> Regards, >>> Vallabh >>> >> -- 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 [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/9680df2f-1301-4637-88d0-7c56c15a25e1%40googlegroups.com. For more options, visit https://groups.google.com/groups/opt_out.
