fuzzy search - ElasticSearch multi_match query over multiple fields with Fuzziness -

how can add fuziness multi_match query? if search 'basball' still find 'baseball' articles. query looks this:

post /newspaper/articles/_search {     "query": {         "function_score": {             "query": {                 "multi_match": {                     "query": "baseball",                     "type": "phrase",                     "fields": [                         "subject^3",                          "section^2.5",                          "article^2",                          "tags^1.5",                         "notes^1"                     ]                 }             }         }     } } 

one option looking @ this, don't know if best option. important keep sorting based on scoring.

   "query" : {        "query_string" : {           "query" : "subject:basball^3 section:basball^2.5 article:basball^2",           "fuzzy_prefix_length" : 1        }     }  

suggestions?

to add fuzziness multiquery need add fuzziness property described here:

{     "query": {         "function_score": {             "query": {                 "multi_match": {                     "query": "baseball",                     "type": "phrase",                     "fields": [                         "subject^3",                          "section^2.5",                          "article^2",                          "tags^1.5",                         "notes^1"                     ],                     "fuzziness" : "auto",                     "prefix_length" : 2                  }             }         }     } } 

please notice prefix_length explained in doc as:

the number of initial characters not “fuzzified”. helps reduce number of terms must examined. defaults 0.

to check possible values of fuzziness please visit es docs.