Elasticsearch 在不应该匹配的时候匹配子串

Question

这是我的get请求运行:

curl -XGET https://search-mycluster-xxxxxxxxxxxxxxxxxxxxxx.us-east-2.es.amazonaws.com/test/_search? -d '
{ "size": 1,
     "_source": ["url"],
    "query" :
    { "match": { "circular": "NC-xx-xxxx-y"} }

}
'

它工作正常，如果我将通知从 "NC-xx-xxxx-y" 更改为 "doesntwork"，则不会按预期返回任何结果。如果我将其更改为 "NC"（原始字符串的子字符串），则会出现 "NC-xx-xxxx-y" 的结果。即使我使通告 "NC-xx-xxxx-ya" 结果为 "NC-xx-xxxx-y"。我只希望在通告恰好为 "NC-xx-xxxx-y" 时查询有效。对如何更改此查询有任何想法吗？

这是我的映射：

{
   "test" : {
      "mappings" : {
         "files" : {
            "properties" : {
               "submitted_by" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "effective_date" : {
                  "type" : "date",
                  "fields" : {
                     "raw" : {
                        "type" : "date"
                     }
                  }
               },
               "date_filed" : {
                  "type" : "date",
                  "fields" : {
                     "raw" : {
                        "type" : "date"
                     }
                  }
               },
               "date" : {
                  "fields" : {
                     "keyword" : {
                        "ignore_above" : 256,
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "form" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "topic" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "circular" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "profit_center" : {
                  "type" : "text",
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  }
               },
               "url" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "circular_link" : {
                  "type" : "text",
                  "fields" : {
                     "keyword" : {
                        "type" : "keyword",
                        "ignore_above" : 256
                     }
                  }
               },
               "subject" : {
                  "type" : "text",
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  }
               },
               "form_title" : {
                  "type" : "text",
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  }
               },
               "state" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "lob" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "contractor" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "link_rate_form" : {
                  "type" : "text",
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  }
               },
               "product_filing" : {
                  "type" : "text",
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  }
               },
               "status" : {
                  "fields" : {
                     "raw" : {
                        "type" : "keyword"
                     }
                  },
                  "type" : "text"
               },
               "date_entered" : {
                  "type" : "date",
                  "fields" : {
                     "raw" : {
                        "type" : "date"
                     }
                  }
               }
            }
         }
      }
   }
}

Answer 1

您在索引和搜索中使用标准分析器，因此您的搜索词 "NC-xx-xxxx-y" 被分解为 ["nc","xx","xxxx","y ]。如果你想要完全匹配，你可以使用术语查询。如果将它用于过滤查询，它应该会快一点。

{
    "query": {
        "constant_score": {
            "filter": {
                "term": { "circular.raw" : "NC-xx-xxxx-y" } 
            }
        }
    }
}

编辑：在通告中添加了 .raw 以搜索关键字。

https://www.elastic.co/guide/en/elasticsearch/guide/current/term-vs-full-text.html https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-term-query.html

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