Elasticsearch case带有间隔词的隐性通配符搜索

Question

我的索引中包含以下文件字段priorityName的类型为search_as_you_type dataType我的用例就像我想用以下单词搜索文档：---

1. “ let's”->应该同时给出两个结果
2. “ DOING”->应该同时给出两个结果
3. “是您”->应该同时给出两个结果
4. “ Are You”->应该同时给出两个结果
5. “您做”（您做不到）->应该同时给出两个结果
6. “您”->应该同时给出两个结果

6个中只有前5个使用multi_match给我想要的结果我怎么有第6个用例，其中我们可以有不完整的单词而不是以第一个字符开头。

        "_index": "priority",
        "_type": "_doc",
        "_id": "vaCI_HAB31AaC-t5TO9H",
        "_score": 1,
        "_source": { - 
          "priorityName": "What are you doing along Let's Go out"
        }
      },
      { - 
        "_index": "priority",
        "_type": "_doc",
        "_id": "vqCQ_HAB31AaC-t5wO8m",
        "_score": 1,
        "_source": { - 
          "priorityName": "what are you doing along let's go for shopping"
        }
      }
    ]
  }```

Answer 1

对于上一次搜索re you，您需要infix tokens，默认情况下，它不包含在search_as_you_type数据类型中。我建议您创建一个自定义分析器，该分析器将创建中缀令牌并允许您匹配所有6个查询。

我已经创建了一个自定义分析器，并使用您的示例文档对其进行了测试，所有6个查询都给出了两个示例结果。

索引映射

POST / infix-index

{
    "settings": {
        "max_ngram_diff": 50,
        "analysis": {
            "filter": {
                "autocomplete_filter": {
                    "type": "ngram",
                    "min_gram": 1,
                    "max_gram": 8
                }
            },
            "analyzer": {
                "autocomplete_analyzer": {
                    "type": "custom",
                    "tokenizer": "whitespace",
                    "filter": [
                        "lowercase",
                        "autocomplete_filter"
                    ]
                },
                "lowercase_analyzer": {
                    "type": "custom",
                    "tokenizer": "whitespace",
                    "filter": [
                        "lowercase"
                    ]
                }
            }
        }
    },
    "mappings": {
        "properties": {
            "priorityName": {
                "type": "text",
                "analyzer": "autocomplete_analyzer",
                "search_analyzer": "standard" --> not this
            }
        }
    }
}

为示例文档建立索引
{
  "priorityName" : "What are you doing along Let's Go out"
}

{
  "priorityName" : "what are you doing along let's go for shopping"
}

搜索最后一个re you的查询
{
    "query": {
        "match" : {
            "priorityName" : "re you"
        }
    }
}

和结果
"hits": [
      {
        "_index": "ngram",
        "_type": "_doc",
        "_id": "1",
        "_score": 1.4652853,
        "_source": {
          "priorityName": "What are you doing along Let's Go out"
        }
      },
      {
        "_index": "ngram",
        "_type": "_doc",
        "_id": "2",
        "_score": 1.4509768,
        "_source": {
          "priorityName": "what are you doing along let's go for shopping"
        }
      }

[其他查询也向我返回了两个文档，但不包括它们以缩短此答案的长度。]