CODEWITHSUNDEEP
elasticsearch
dkiselev
dkiselev

Reputation: 940

Elasticsearch MultiMatch query matches only the last term

I have multymatch query over several fields with several terms:

{
    "multi_match": {
        "query": ["екатеринбург", "тимирязева"],
        "fields": [
            "admin0_name^1.0", 
            "admin0_alternate_names^0.95", 
            "local_admin_name^0.6", 
            "locality_name^1.2", 
            "locality_alternate_names^1.15", 
            "neighborhood_name^0.3", 
            "street_name^1.4", 
            "housenumber^1.4", 
            "housenumber_exact^1.5", 
            "name.text^2.0"],
        "type": "most_fields",
        "_name": "main_search_query"
    }
}

Term екатеринбург should match locality_name and тимирязева should match street_name and name.text.

But query explanations shows me that only тимирязева was matched:

    1.0168997 = (MATCH) product of:
      5.0844984 = (MATCH) sum of:
        3.4778461 = (MATCH) weight(name.text:тимирязева^2.0 in 233899) [PerFieldSimilarity], result of:
          3.4778461 = score(doc=233899,freq=2.0), product of:
            0.39484683 = queryWeight, product of:
              2.0 = boost
              9.965216 = idf(docFreq=184, maxDocs=1447823)
              0.019811254 = queryNorm
            8.808089 = fieldWeight in 233899, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              9.965216 = idf(docFreq=184, maxDocs=1447823)
              0.625 = fieldNorm(doc=233899)
        1.6066521 = (MATCH) weight(street_name:тимирязева^1.4 in 233899) [PerFieldSimilarity], result of:
          1.6066521 = score(doc=233899,freq=2.0), product of:
            0.22453468 = queryWeight, product of:
              1.4 = boost
              8.095495 = idf(docFreq=1199, maxDocs=1447823)
              0.019811254 = queryNorm
            7.1554747 = fieldWeight in 233899, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.095495 = idf(docFreq=1199, maxDocs=1447823)
              0.625 = fieldNorm(doc=233899)
      0.2 = coord(2/10)

To be sure that екатеринбург matches locality_name by it self, I've combined that query with term query as must sections of bool query. It matches.

If I'll change the order of terms inside query array to ["тимирязева", "екатеринбург"] situation changes to exactly opposing, екатеринбург matches locality_name but тимирязева doesn't match street_name.

Looks like only the last term taken into account by multi_match.

N.b. I use pretty old version of ES: 1.4 is that a bug or I get the way how multi_match works wrong?

I can follow with workaround: use query as string not as query, but I'm interested why pretokenized approach fails.

Upvotes: 0

Views: 753

Answers (1)

Vijay
Vijay

Reputation: 5010

Try with this , might be help you :-

Query_string is more powerful than multi_match .link

{
  "query": {
    "query_string": {
       "fields" : ["admin0_name*", 
            "admin0_alternate_names*", 
            "local_admin_name*", 
            "locality_name*", 
            "locality_alternate_names*", 
            "neighborhood_name*", 
            "street_name*", 
            "housenumber*", 
            "housenumber_exact*", 
            "name.text*"] ,
      "query": "*екатеринбург*" OR "*тимирязева*"
    }
  }
}

Here is my analysis , how query_string is more powerful in partial search link

Upvotes: 1

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