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我是 Elasticsearch 的新手，我们正在研究一个需求，弹性搜索中的文档将根据模糊匹配、Wordmatch等匹配类型来获取......

我们在这里面临性能问题，当文档与一种匹配类型匹配时，文档应该来自“bool”查询，但它参与了所有匹配类型并给了我所有匹配类型的结果，我尝试嵌套bool 查询使其参与单个匹配类型并在匹配时退出，否则移动到下一个匹配类型。

我试着关注这个博客。

[ https://www.elastic.co/blog/lost-in-translation-boolean-operations-and-filters-in-the-bool-query][1]

即使这给我带来了同样的结果..

请找到以下示例代码。

 {
  "size": 10000,
  "query": {
    "function_score": {
      "score_mode": "sum",
      "functions": [
        {
          "filter": {
            "bool": {
              "should": [
                {
                  "bool": {
                    "should": [
                      {
                        "match": {
                          "4": {
                            "fuzziness": "AUTO",
                            "query": "kavan",
                            "minimum_should_match": "50%",
                            "_name": "4.fuzzyMatch"
                          }
                        }
                      },
                      {
                        "match": {
                          "4": {
                            "query": "kavan",
                            "minimum_should_match": "50%",
                            "_name": "4.wordMatch"
                          }
                        }
                      }
                    ]
                  }
                },
                {
                  "bool": {
                    "should": [
                      {
                        "match": {
                          "4.subStringMatch": {
                            "query": "kavan",
                            "minimum_should_match": "50%",
                            "_name": "4.subStringMatch"
                          }
                        }
                      },
                      {
                        "match": {
                          "4.phoneticMatch": {
                            "query": "kavan",
                            "minimum_should_match": "50%",
                            "_name": "4.phoneticMatch"
                          }
                        }
                      }
                    ]
                  }
                },
                {
                  "match": {
                    "4.exactMatch": "kavan"
                  }
                }
              ]
            }
          },
          "weight": 50
        }
      ]
    }
  }
}

实际输出为：

"hits": {
    "total": 94,
    "max_score": 50.0,
    "hits": [{
      "_index": "6_1028",
      "_type": "6_1028",
      "_id": "14",
      "_score": 50.0,
      "_source": {
        "1": 14,
        "@timestamp": "2018-05-18T06:57:02.540Z",
        "4": "kavana",
        "6": "Vastrad",
        "7": "Indiranagar",
        "@version": "1",
        "type": "1028",
        "10": "Bangalore"
      },
      "matched_queries": ["4.phoneticMatch", "4.fuzzyMatch", "4.subStringMatch"]
    }, {
      "_index": "6_1028",
      "_type": "6_1028",
      "_id": "52",
      "_score": 50.0,
      "_source": {
        "1": 52,
        "@timestamp": "2018-05-18T06:57:02.559Z",
        "4": "kavana",
        "6": "Vastrad",
        "7": "Indiranagar",
        "@version": "1",
        "type": "1028",
        "10": "Bangalore"
      },
      "matched_queries": ["4.phoneticMatch", "4.fuzzyMatch", "4.subStringMatch"]
    }, {
      "_index": "6_1028",
      "_type": "6_1028",
      "_id": "53",
      "_score": 50.0,
      "_source": {
        "1": 53,
        "@timestamp": "2018-05-18T06:57:02.559Z",
        "4": "kavana",
        "6": "Vastrad",
        "7": "Indiranagar",
        "@version": "1",
        "type": "1028",
        "10": "Bangalore"
      },
      "matched_queries": ["4.phoneticMatch", "4.fuzzyMatch", "4.subStringMatch"]
    }
}

预期输出为：

 "hits": {
    "total": 94,
    "max_score": 50.0,
    "hits": [{
      "_index": "6_1028",
      "_type": "6_1028",
      "_id": "14",
      "_score": 50.0,
      "_source": {
        "1": 14,
        "@timestamp": "2018-05-18T06:57:02.540Z",
        "4": "kavana",
        "6": "Vastrad",
        "7": "Indiranagar",
        "@version": "1",
        "type": "1028",
        "10": "Bangalore"
      },
      "matched_queries": ["4.phoneticMatch"]
    }

在matched_queries中只有一种匹配类型

注意：匹配类型可以在matched_queries块中看到。

在这方面的任何建议表示赞赏..

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