elasticsearch - Elastic Search Document Boosting (like Solr elevateIds) -

looking move solr elastic search due amazon rest api , suitability clustering. struggling figure out way boost @ query time specific documents in solrs elevate method. there way , if examples helpful :)

i assume you're referencing solr queryelevationcomponent. https://wiki.apache.org/solr/queryelevationcomponent

there has been previous discussion on github how emulate functionality in elasticsearch. https://github.com/elasticsearch/elasticsearch/issues/1066

the idea use elasticsearch constant score query apply constant boost matching documents. apply big enough boost , in effect "sponsored search" result of solr's elevate.

from documentation:

constant score query

a query wraps filter or query , returns constant score equal query boost every document in filter. maps lucene constantscorequery.

{     "constant_score" : {         "filter" : {             "term" : { "user" : "kimchy"}         },         "boost" : 1.2     } } 

the filter object can hold filter elements, not queries. filters can faster compared queries since don’t perform scoring, when cached.

a query can wrapped in constant_score query:

{     "constant_score" : {         "query" : {             "term" : { "user" : "kimchy"}         },         "boost" : 1.2     } } 

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-constant-score-query.html

edit

example using multiple boosts:

{     "query": {         "bool": {             "should": [{                 "constant_score": {                     "filter": {                         "terms": {                             "user": ["kimchy", "john"]                         }                     },                     boost: 3                 }             }, {                 "constant_score": {                     "filter": {                         "terms": {                             "user": ["paul", "ringo"]                         }                     },                     boost: 2                 }             }]         }     } }