search - Elasticsearch query_string与match_phrase结合

Question

我认为最好是描述自己的意图并尝试将其分解为代码。

如果用户选择query_string提供的功能，我希望用户能够进行复杂的查询。例如“AND”，“OR”和“〜”等。

我想有效地进行模糊处理，这使我无法处理发送到ES的“＃{query}〜”之类的事情，换句话说，我代表用户指定模糊查询，因为我们提供音译可能很难获得确切的拼写。

有时，用户会搜索许多短语中的单词。 query_string单独搜索它们，而不是短语。例如，“谁愿意”应该把这三个词按顺序排列给我，这是我的最佳选择，然后再给我任何东西。

当前查询:

{
  "indices_boost": {},
  "aggregations": {
    "by_ayah_key": {
      "terms": {
        "field": "ayah.ayah_key",
        "size": 6236,
        "order": {
          "average_score": "desc"
        }
      },
      "aggregations": {
        "match": {
          "top_hits": {
            "highlight": {
              "fields": {
                "text": {
                  "type": "fvh",
                  "matched_fields": [
                    "text.root",
                    "text.stem_clean",
                    "text.lemma_clean",
                    "text.stemmed",
                    "text"
                  ],
                  "number_of_fragments": 0
                }
              },
              "tags_schema": "styled"
            },
            "sort": [
              {
                "_score": {
                  "order": "desc"
                }
              }
            ],
            "_source": {
              "include": [
                "text",
                "resource.*",
                "language.*"
              ]
            },
            "size": 5
          }
        },
        "average_score": {
          "avg": {
            "script": "_score"
          }
        }
      }
    }
  },
  "from": 0,
  "size": 0,
  "_source": [
    "text",
    "resource.*",
    "language.*"
  ],
  "query": {
    "bool": {
      "must": [
        {
          "query_string": {
            "query": "inna alatheena",
            "fuzziness": 1,
            "fields": [
              "text^1.6",
              "text.stemmed"
            ],
            "minimum_should_match": "85%"
          }
        }
      ],
      "should": [
          {
            "match": {
                "text": {
                    "query": "inna alatheena",
                    "type": "phrase"
                }
            }
        }
        ]
    }
  }
}

注意:尽管我在索引中有 alatheena，但是没有 ~进行搜索的 allatheena不会返回任何内容。因此，我必须进行模糊搜索。

有什么想法吗？

Answer 1

您应该使用Dis Max Query来实现。

A query that generates the union of documents produced by its subqueries, and that scores each document with the maximum score for that document as produced by any subquery, plus a tie breaking increment for any additional matching subqueries.

This is useful when searching for a word in multiple fields with different boost factors (so that the fields cannot be combined equivalently into a single search field). We want the primary score to be the one associated with the highest boost.

快速示例如何使用它:

POST /_search
{
  "query": {
    "dis_max": {
      "tie_breaker": 0.7,
      "boost": 1.2,
      "queries": [
        {
          "match": {
            "text": {
              "query": "inna alatheena",
              "type": "phrase",
              "boost": 5
            }
          }
        },
        {
          "match": {
            "text": {
              "query": "inna alatheena",
              "type": "phrase",
              "fuzziness": "AUTO",
              "boost": 3
            }
          }
        },
        {
          "query_string": {
            "default_field": "text",
            "query": "inna alatheena"
          }
        }
      ]
    }
  }
}

它将运行您的所有查询，并且将获得得分最高的查询。因此，只需使用它定义规则即可。您应该实现您想要的。