Question

我在多个字段中使用多个术语进行了多匹配查询：

{
    "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"
    }
}

字词екатеринбург应与locality_name匹配，而тимирязева应与street_name和name.text匹配。

但查询解释显示我只匹配тимирязева：

    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)

为了确保екатеринбург与locality_name匹配，我将该查询与术语查询结合起来作为bool查询的必要部分。它匹配。

如果我将查询数组中的术语顺序更改为["тимирязева", "екатеринбург"]情况更改为完全相反，екатеринбург匹配locality_name但тимирязева不匹配{{ 1}}。

看起来只有street_name考虑的最后一个字词。

N.b。我使用相当旧版本的ES：1.4是一个错误还是我得到multi_match错误的方式？

我可以遵循解决方法：使用查询作为字符串而不是查询，但我很感兴趣为什么预先处理的方法失败。

Answer 1

试试这个，可能对你有帮助： -

Query_string比multi_match更强大。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*"
    }
  }
}

以下是我的分析，query_string在部分搜索link

中的功能如何更强大

Elasticsearch MultiMatch查询仅匹配最后一个术语

1 个答案: